{"unit_id": "quote:592779440305917953", "ticker_idx": 0, "ts": "2015-04-27T19:56:46+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$TSLA took a leaf out of the $AAPL book to lead the way. With the right batteries, both will steal the auto show!", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish on both TSLA and AAPL as auto market disruptors with the right battery technology.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "$TSLA took a leaf out of the $AAPL book to lead the way.  With the right batteries, both will steal the auto show!\nhttps://t.co/pGosO08HJO", "reply_text": null, "parent_text": null, "quoted_text": "Financial Resources + Innovation and Design capabilities. Could $AAPL disrupt the auto market? http://t.co/kh6QwYF1gs http://t.co/S6Hya1Wnpl", "parent_author": null, "ret_m1d": -0.056661657765947115, "ret_signed_m1d": -0.056661657765947115, "alpha_spy_m1d": -0.06083669679053427, "alpha_c_m1d": -0.06549854369634267, "bench_spy_m1d": 0.004175039024587157, "bench_c_m1d": 0.008836885930395555, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.004621129472000773, "ret_signed_p1d": -0.004621129472000773, "alpha_spy_p1d": -0.007799927528639006, "alpha_c_p1d": -0.0011125518364424325, "bench_spy_p1d": 0.0031787980566382323, "bench_c_p1d": -0.003508577635558341, "ret_p1w": -0.004491515439483895, "ret_signed_p1w": -0.004491515439483895, "alpha_spy_p1w": -0.007101219437467665, "alpha_c_p1w": 0.0012269828436466401, "bench_spy_p1w": 0.00260970399798377, "bench_c_p1w": -0.005718498283130535, "ret_p1m": 0.06871082040554866, "ret_signed_p1m": 0.06871082040554866, "alpha_spy_p1m": 0.0690429297384475, "alpha_c_p1m": 0.07598840064591594, "bench_spy_p1m": -0.0003321093328988445, "bench_c_p1m": -0.007277580240367287, "ret_p3m": 0.15396238066998835, "ret_signed_p3m": 0.15396238066998835, "alpha_spy_p3m": 0.15191106594870263, "alpha_c_p3m": 0.12601491089209338, "bench_spy_p3m": 0.002051314721285724, "bench_c_p3m": 0.027947469777894973, "ret_p6m": -0.07998279308849543, "ret_signed_p6m": -0.07998279308849543, "alpha_spy_p6m": -0.053361305823530714, "alpha_c_p6m": -0.10800957614096018, "bench_spy_p6m": -0.026621487264964716, "bench_c_p6m": 0.028026783052464754, "price_path": [-0.139, -0.1138, -0.1207, -0.089, -0.057, -0.0561, -0.0456, -0.0613, -0.0608, -0.0659, -0.081, -0.1238, -0.12, -0.12, -0.1175, -0.117, -0.0857, -0.0624, -0.1046, -0.1185, -0.12, -0.1052, -0.1218, -0.1478, -0.1382, -0.1257, -0.1335, -0.1627, -0.1756, -0.1781, -0.1633, -0.1748, -0.1851, -0.1548, -0.159, -0.1332, -0.155, -0.1445, -0.1379, -0.1288, -0.1609, -0.1777, -0.201, -0.177, -0.1848, -0.1899, -0.1751, -0.1751, -0.1229, -0.1222, -0.1031, -0.0927, -0.0892, -0.094, -0.104, -0.1024, -0.1073, -0.1069, -0.1135, -0.0956, -0.0523, -0.0559, -0.0567, 0.0, -0.0046, 0.0039, -0.0238, -0.0238, -0.0045, 0.006, -0.0048, 0.0227, 0.0219, 0.0343, 0.057, 0.0502, 0.0542, 0.0747, 0.0743, 0.0673, 0.0553, 0.0608, 0.0699, 0.0699, 0.0687, 0.0686, 0.0859, 0.0831, 0.0773, 0.0726, 0.0753, 0.0621, 0.076, 0.1068, 0.1056, 0.0827, 0.0858, 0.0827, 0.0813, 0.0932, 0.1246, 0.131, 0.1337, 0.122, 0.156, 0.1452, 0.1608, 0.1535, 0.1316, 0.1585, 0.1624, 0.2093, 0.2093, 0.208, 0.1569, 0.1011, 0.1139, 0.1192, 0.1322, 0.1473, 0.1364, 0.1517, 0.1862, 0.219, 0.1521, 0.1569, 0.154, 0.1462, 0.0927, 0.1437, 0.1394, 0.1522, 0.1494, 0.1228, 0.15, 0.1666, 0.063, 0.0473, 0.0414, 0.0251, 0.0286, 0.0473, 0.0501, 0.1012, 0.126, 0.1024, 0.0459, -0.0034, -0.0548, -0.0498, -0.029, 0.0494, 0.0731, 0.0756, 0.0306, 0.0697, 0.0605, 0.0448, 0.0448, 0.0718, 0.075, 0.0731, 0.0807, 0.0935, 0.0951, 0.1326, 0.1318, 0.1255, 0.141, 0.1269, 0.1274, 0.1363, 0.1095, 0.0729, 0.0652, 0.0728, 0.036, 0.0692, 0.0631, 0.0428, 0.0018, -0.0209, -0.0469, -0.069, -0.0531, -0.0634, -0.0442, -0.0196, -0.0149, -0.08]}
{"unit_id": "quote:592779440305917953", "ticker_idx": 1, "ts": "2015-04-27T19:56:46+00:00", "symbol": "AAPL", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "both will steal the auto show!", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish on both TSLA and AAPL as auto market disruptors with the right battery technology.", "resolved_tickers": ["AAPL"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLK", "bench_c_reason": "industry='Consumer Electronics'", "bench_c_industry": "Consumer Electronics", "unit_kind": "quote", "lang": "en", "tweet_text": "$TSLA took a leaf out of the $AAPL book to lead the way.  With the right batteries, both will steal the auto show!\nhttps://t.co/pGosO08HJO", "reply_text": null, "parent_text": null, "quoted_text": "Financial Resources + Innovation and Design capabilities. Could $AAPL disrupt the auto market? http://t.co/kh6QwYF1gs http://t.co/S6Hya1Wnpl", "parent_author": null, "ret_m1d": -0.017866623844917995, "ret_signed_m1d": -0.017866623844917995, "alpha_spy_m1d": -0.022041662869505152, "alpha_c_m1d": -0.015092421262778655, "bench_spy_m1d": 0.004175039024587157, "bench_c_m1d": -0.00277420258213934, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.015755762764664283, "ret_signed_p1d": -0.015755762764664283, "alpha_spy_p1d": -0.018934560821302515, "alpha_c_p1d": -0.018992532906474624, "bench_spy_p1d": 0.0031787980566382323, "bench_c_p1d": 0.003236770141810341, "ret_p1w": -0.029777490659764982, "ret_signed_p1w": -0.029777490659764982, "alpha_spy_p1w": -0.03238719465774875, "alpha_c_p1w": -0.027234421510475282, "bench_spy_p1w": 0.00260970399798377, "bench_c_p1w": -0.0025430691492897006, "ret_p1m": -0.01876053432170277, "ret_signed_p1m": -0.01876053432170277, "alpha_spy_p1m": -0.018428424988803926, "alpha_c_p1m": -0.0122869940380822, "bench_spy_p1m": -0.0003321093328988445, "bench_c_p1m": -0.006473540283620571, "ret_p3m": -0.05252324371121908, "ret_signed_p3m": -0.05252324371121908, "alpha_spy_p3m": -0.054574558432504805, "alpha_c_p3m": -0.04169395078607718, "bench_spy_p3m": 0.002051314721285724, "bench_c_p3m": -0.010829292925141898, "ret_p6m": -0.1348486381279388, "ret_signed_p6m": -0.1348486381279388, "alpha_spy_p6m": -0.10822715086297408, "alpha_c_p6m": -0.11518114752637942, "bench_spy_p6m": -0.026621487264964716, "bench_c_p6m": -0.019667490601559368, "price_path": [-0.1341, -0.1072, -0.1202, -0.1092, -0.1091, -0.1022, -0.0958, -0.1034, -0.0975, -0.0801, -0.0586, -0.0467, -0.042, -0.042, -0.0363, -0.0296, -0.0317, -0.0237, 0.0026, -0.0036, -0.0291, -0.0168, -0.0316, -0.0268, -0.0248, -0.031, -0.047, -0.0456, -0.0415, -0.0614, -0.0785, -0.0618, -0.0683, -0.058, -0.0423, -0.0315, -0.0388, -0.0509, -0.041, -0.0449, -0.0699, -0.0634, -0.0709, -0.0473, -0.062, -0.0633, -0.0553, -0.0553, -0.04, -0.0501, -0.0531, -0.0459, -0.0418, -0.0437, -0.0479, -0.0443, -0.0489, -0.0596, -0.0381, -0.0433, -0.0304, -0.0225, -0.0179, 0.0, -0.0158, -0.0302, -0.0565, -0.0279, -0.0298, -0.0516, -0.0576, -0.0518, -0.0339, -0.0437, -0.0471, -0.0461, -0.0238, -0.0252, -0.0144, -0.0154, -0.0154, -0.0054, 0.0033, 0.0033, -0.0188, -0.0004, -0.0024, -0.0138, -0.0118, -0.0162, -0.015, -0.0207, -0.0261, -0.0325, -0.0354, -0.0244, -0.0266, -0.0373, -0.0392, -0.0341, -0.0363, -0.0319, -0.0416, -0.034, -0.0384, -0.0302, -0.0348, -0.0405, -0.0573, -0.0505, -0.0416, -0.0428, -0.0428, -0.0462, -0.0485, -0.0721, -0.0911, -0.0668, -0.0487, -0.0491, -0.04, -0.0272, -0.0188, -0.0002, -0.0102, -0.0521, -0.0525, -0.0575, -0.0706, -0.066, -0.069, -0.0736, -0.0817, -0.1034, -0.1322, -0.1264, -0.1245, -0.1215, -0.0896, -0.137, -0.1237, -0.1244, -0.1182, -0.1091, -0.1141, -0.1254, -0.1434, -0.1958, -0.2158, -0.2111, -0.1659, -0.1413, -0.1385, -0.1425, -0.1809, -0.1457, -0.1607, -0.1691, -0.1691, -0.146, -0.1624, -0.144, -0.1315, -0.1231, -0.1158, -0.1148, -0.1337, -0.1373, -0.1239, -0.1377, -0.1307, -0.1255, -0.1277, -0.145, -0.1707, -0.1612, -0.1667, -0.1606, -0.1576, -0.1536, -0.1576, -0.1673, -0.1474, -0.1514, -0.1499, -0.1619, -0.1494, -0.1556, -0.1504, -0.1348]}
{"unit_id": "quote:644618261120749568", "ticker_idx": 0, "ts": "2015-09-17T21:05:44+00:00", "symbol": "GOOGL", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$AAPL will have veto power over $GOOGL. @Awl says that 75-85% of its ads could be blocked!", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bearish GOOGL: iOS ad blocking could eliminate 75-85% of its ads, giving Apple veto power over Google's ad business.", "resolved_tickers": ["GOOGL"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLC", "bench_c_reason": "industry='Internet Content & Information'", "bench_c_industry": "Internet Content & Information", "unit_kind": "quote", "lang": "en", "tweet_text": "With ad blocking, $AAPL will have veto power over $GOOGL. @Awl says that 75-85% of its ads could be blocked! Wow!\nhttps://t.co/B5AxGd87aM", "reply_text": null, "parent_text": null, "quoted_text": "Great piece on iOS ad blocking. It's war between $AAPL and $GOOG, and publishers are the roadkill. http://t.co/b4DD3yhHia", "parent_author": null, "ret_m1d": -0.009156109450020766, "ret_signed_m1d": 0.009156109450020766, "alpha_spy_m1d": 0.011409405766437786, "alpha_c_m1d": null, "bench_spy_m1d": 0.0022532963164170194, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.016004838546937905, "ret_signed_p1d": 0.016004838546937905, "alpha_spy_p1d": -0.00033626668147002103, "alpha_c_p1d": null, "bench_spy_p1d": -0.016341105228407926, "bench_c_p1d": null, "ret_p1w": -0.024952737470232966, "ret_signed_p1w": 0.024952737470232966, "alpha_spy_p1w": -0.004222304188421289, "alpha_c_p1w": null, "bench_spy_p1w": -0.029175041658654255, "bench_c_p1w": null, "ret_p1m": 0.03521082804685127, "ret_signed_p1m": -0.03521082804685127, "alpha_spy_p1m": -0.012195472655939898, "alpha_c_p1m": null, "bench_spy_p1m": 0.023015355390911374, "bench_c_p1m": null, "ret_p3m": 0.13164207900386948, "ret_signed_p3m": -0.13164207900386948, "alpha_spy_p3m": -0.09976955265783238, "alpha_c_p3m": null, "bench_spy_p3m": 0.0318725263460371, "bench_c_p3m": null, "ret_p6m": 0.10898183334522504, "ret_signed_p6m": -0.10898183334522504, "alpha_spy_p6m": -0.08246040591756199, "alpha_c_p6m": null, "bench_spy_p6m": 0.026521427427663058, "bench_c_p6m": null, "price_path": [-0.1667, -0.1612, -0.1684, -0.1693, -0.1766, -0.1942, -0.196, -0.1911, -0.1851, -0.1851, -0.1877, -0.1811, -0.1935, -0.1891, -0.172, -0.1488, -0.1303, -0.1306, -0.1041, 0.0416, 0.0315, 0.0353, 0.0349, 0.0046, -0.0252, -0.02, -0.0179, -0.0152, -0.0106, -0.0211, -0.0103, -0.0155, 0.0024, -0.0023, -0.0108, -0.0127, 0.0277, 0.0295, 0.0221, 0.0264, 0.0334, 0.0254, 0.0333, 0.0116, -0.0412, -0.0797, -0.0881, -0.0178, -0.0055, -0.0178, -0.0355, -0.0627, -0.0398, -0.0515, -0.0636, -0.0636, -0.0414, -0.0421, -0.0307, -0.0244, -0.0286, -0.0098, -0.0092, 0.0, -0.016, -0.007, -0.0275, -0.0274, -0.025, -0.0469, -0.0706, -0.073, -0.0496, -0.0442, -0.0219, 0.0, -0.0, -0.0025, -0.007, -0.0006, 0.0071, 0.0171, 0.013, 0.0318, 0.0352, 0.0421, 0.0124, 0.0002, 0.0141, 0.071, 0.0885, 0.091, 0.0971, 0.109, 0.0978, 0.1133, 0.1149, 0.1245, 0.1325, 0.1339, 0.1237, 0.1289, 0.1393, 0.1263, 0.1018, 0.1172, 0.1106, 0.1315, 0.1314, 0.1568, 0.1564, 0.1458, 0.1453, 0.1453, 0.1493, 0.1358, 0.1669, 0.1581, 0.1437, 0.1601, 0.1508, 0.154, 0.1353, 0.1316, 0.1172, 0.1353, 0.1316, 0.1562, 0.1461, 0.1268, 0.1327, 0.1421, 0.1442, 0.1402, 0.1402, 0.1646, 0.1821, 0.1766, 0.1583, 0.1583, 0.1307, 0.1338, 0.1305, 0.1032, 0.0882, 0.0914, 0.1097, 0.0713, 0.0889, 0.0578, 0.0578, 0.0706, 0.0698, 0.0819, 0.1099, 0.0922, 0.0925, 0.0684, 0.1141, 0.1335, 0.1475, 0.1626, 0.1157, 0.0869, 0.0478, 0.0484, 0.0437, 0.0524, 0.0516, 0.0524, 0.0524, 0.0684, 0.0898, 0.0682, 0.0751, 0.0854, 0.0679, 0.0733, 0.0855, 0.0792, 0.0678, 0.105, 0.101, 0.0892, 0.0872, 0.0612, 0.0623, 0.08, 0.0901, 0.109]}
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{"unit_id": "orig:618465249050492928", "ticker_idx": 0, "ts": "2015-07-07T17:03:00+00:00", "symbol": "MSFT", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Cloud prices are being revised [up 11-26%} for new and renewing contracts", "tweet_type": "prediction", "timeline": "unspecified", "summary": "MSFT raising cloud prices 11-26%; AWS unlikely to follow, implying MSFT pricing power advantage and AWS competitive disadvantage.", "resolved_tickers": ["MSFT"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": "Software - Infrastructure", "unit_kind": "original", "lang": "en", "tweet_text": "$MSFT “#Cloud prices are being revised [up 11-26%} for new and renewing contracts.\"  #AWS is unlikely to follow.  http://t.co/jL2nemsqj9", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.0020317905092550603, "ret_signed_m1d": 0.0020317905092550603, "alpha_spy_m1d": 0.008280957939238887, "alpha_c_m1d": 0.008280957939238887, "bench_spy_m1d": -0.006249167429983826, "bench_c_m1d": -0.006249167429983826, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.0013542934325126987, "ret_signed_p1d": -0.0013542934325126987, "alpha_spy_p1d": 0.015423385494791386, "alpha_c_p1d": 0.015423385494791386, "bench_spy_p1d": -0.016777678927304085, "bench_c_p1d": -0.016777678927304085, "ret_p1w": 0.029796857987183012, "ret_signed_p1w": 0.029796857987183012, "alpha_spy_p1w": 0.01700963559169466, "alpha_c_p1w": 0.01700963559169466, "bench_spy_p1w": 0.012787222395488351, "bench_c_p1w": 0.012787222395488351, "ret_p1m": 0.07404048025012933, "ret_signed_p1m": 0.07404048025012933, "alpha_spy_p1m": 0.06418557164547534, "alpha_c_p1m": 0.06418557164547534, "bench_spy_p1m": 0.009854908604653989, "bench_c_p1m": 0.009854908604653989, "ret_p3m": 0.0354513759206847, "ret_signed_p3m": 0.0354513759206847, "alpha_spy_p3m": 0.09316824472379692, "alpha_c_p3m": 0.09316824472379692, "bench_spy_p3m": -0.05771686880311222, "bench_c_p3m": -0.05771686880311222, "ret_p6m": 0.28811233878537634, "ret_signed_p6m": 0.28811233878537634, "alpha_spy_p6m": 0.28709078963562007, "alpha_c_p6m": 0.28709078963562007, "bench_spy_p6m": 0.0010215491497562734, "bench_c_p6m": 0.0010215491497562734, "price_path": [-0.0697, -0.0643, -0.0634, -0.0659, -0.0522, -0.0545, -0.0666, -0.0376, -0.0437, -0.0358, -0.028, 0.0736, 0.0772, 0.1025, 0.1003, 0.0909, 0.0913, 0.0819, 0.0676, 0.038, 0.0474, 0.0709, 0.0624, 0.0619, 0.0682, 0.0927, 0.0833, 0.0767, 0.074, 0.074, 0.0704, 0.0587, 0.0587, 0.0517, 0.0747, 0.0711, 0.0578, 0.0661, 0.0591, 0.0576, 0.0465, 0.0415, 0.0323, 0.0305, 0.0521, 0.0483, 0.0377, 0.0266, 0.0345, 0.0377, 0.0546, 0.0406, 0.0436, 0.0363, 0.0302, 0.0305, 0.0217, 0.0016, -0.0034, 0.0034, 0.0023, 0.0023, 0.002, 0.0, -0.0014, 0.005, 0.007, 0.028, 0.0298, 0.033, 0.0533, 0.0524, 0.0591, 0.0673, 0.028, 0.0409, 0.037, 0.0237, 0.0235, 0.0449, 0.0582, 0.0542, 0.0567, 0.0731, 0.074, 0.0524, 0.0551, 0.0684, 0.0476, 0.0551, 0.0549, 0.0609, 0.0682, 0.0741, 0.0591, 0.0375, -0.0214, -0.0529, -0.0804, -0.0295, -0.0025, -0.0018, -0.0111, -0.0498, -0.0148, -0.0116, -0.0318, -0.0318, -0.0027, -0.0214, -0.0164, -0.012, -0.022, -0.0007, 0.0066, 0.0055, -0.012, 0.0023, -0.0025, -0.0032, -0.0023, -0.0016, -0.0164, -0.0129, 0.0057, 0.0136, 0.0355, 0.0595, 0.0623, 0.0634, 0.0782, 0.0704, 0.0679, 0.0654, 0.0607, 0.0682, 0.0795, 0.082, 0.0854, 0.0725, 0.0913, 0.2013, 0.2327, 0.22, 0.2265, 0.2125, 0.1961, 0.2097, 0.2304, 0.2361, 0.2356, 0.2479, 0.2306, 0.2159, 0.219, 0.2115, 0.2006, 0.2218, 0.2117, 0.2318, 0.2339, 0.2396, 0.2396, 0.241, 0.2282, 0.2282, 0.2337, 0.2433, 0.2632, 0.2629, 0.2398, 0.279, 0.2767, 0.2762, 0.2577, 0.2643, 0.2366, 0.2613, 0.2627, 0.284, 0.2742, 0.2382, 0.2543, 0.2662, 0.2769, 0.2735, 0.2735, 0.2799, 0.2936, 0.2881]}
{"unit_id": "orig:618465249050492928", "ticker_idx": 1, "ts": "2015-07-07T17:03:00+00:00", "symbol": "AWS", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "#AWS is unlikely to follow", "tweet_type": "prediction", "timeline": "unspecified", "summary": "MSFT raising cloud prices 11-26%; AWS unlikely to follow, implying MSFT pricing power advantage and AWS competitive disadvantage.", "resolved_tickers": ["AMZN"], "resolution_method": "exchange_ticker", "resolution_reason": "AWS is Amazon's cloud arm; parent is AMZN", "bench_c": "XLY", "bench_c_reason": "industry='Internet Retail'", "bench_c_industry": "Internet Retail", "unit_kind": "original", "lang": "en", "tweet_text": "$MSFT “#Cloud prices are being revised [up 11-26%} for new and renewing contracts.\"  #AWS is unlikely to follow.  http://t.co/jL2nemsqj9", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.001557079869916711, "ret_signed_m1d": 0.001557079869916711, "alpha_spy_m1d": -0.004692087560067115, "alpha_c_m1d": -0.007064067594487744, "bench_spy_m1d": -0.006249167429983826, "bench_c_m1d": -0.008621147464404455, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.016074364583272382, "ret_signed_p1d": 0.016074364583272382, "alpha_spy_p1d": -0.0007033143440317025, "alpha_c_p1d": -0.0029685616319163888, "bench_spy_p1d": -0.016777678927304085, "bench_c_p1d": -0.01904292621518877, "ret_p1w": 0.06606059404352749, "ret_signed_p1w": -0.06606059404352749, "alpha_spy_p1w": -0.053273371648039136, "alpha_c_p1w": -0.051006790951043435, "bench_spy_p1w": 0.012787222395488351, "bench_c_p1w": 0.015053803092484053, "ret_p1m": 0.229643687611659, "ret_signed_p1m": -0.229643687611659, "alpha_spy_p1m": -0.219788779007005, "alpha_c_p1m": -0.2077708036349588, "bench_spy_p1m": 0.009854908604653989, "bench_c_p1m": 0.021872883976700175, "ret_p3m": 0.21940832886616968, "ret_signed_p3m": -0.21940832886616968, "alpha_spy_p3m": -0.2771251976692819, "alpha_c_p3m": -0.23940340691247863, "bench_spy_p3m": -0.05771686880311222, "bench_c_p3m": -0.019995078046308956, "ret_p6m": 0.577830103596561, "ret_signed_p6m": -0.577830103596561, "alpha_spy_p6m": -0.5768085544468047, "alpha_c_p6m": -0.5539579657518268, "bench_spy_p6m": 0.0010215491497562734, "bench_c_p6m": 0.023872137844734187, "price_path": [-0.1218, -0.1238, -0.1245, -0.1182, -0.122, -0.116, -0.14, -0.1081, -0.1043, -0.1074, -0.107, 0.0192, 0.0042, -0.017, -0.0168, -0.0342, -0.0317, -0.0313, -0.0356, -0.0403, -0.0225, -0.0069, -0.0089, -0.0131, -0.0226, -0.0102, -0.0245, -0.0263, -0.0344, -0.0294, -0.0117, -0.0208, -0.0208, -0.0258, -0.0121, -0.0232, -0.0172, -0.0133, -0.0131, -0.0003, -0.0136, -0.0224, -0.0303, -0.0257, -0.0136, -0.0086, -0.0156, -0.0299, -0.0217, -0.0204, 0.0061, -0.0041, -0.001, 0.0212, 0.0094, 0.0077, 0.0032, -0.0157, -0.006, 0.0015, 0.0023, 0.0023, -0.0016, 0.0, -0.0161, -0.0053, 0.0155, 0.0432, 0.0661, 0.056, 0.0888, 0.106, 0.1176, 0.1174, 0.118, 0.1041, 0.2123, 0.2168, 0.2045, 0.2113, 0.2291, 0.2277, 0.2251, 0.2179, 0.2296, 0.2124, 0.1967, 0.1999, 0.2078, 0.2042, 0.2128, 0.2171, 0.2255, 0.2251, 0.2203, 0.181, 0.1322, 0.061, 0.0679, 0.1467, 0.187, 0.1861, 0.1744, 0.137, 0.1691, 0.1557, 0.1426, 0.1426, 0.1851, 0.1836, 0.1958, 0.2123, 0.1939, 0.1961, 0.2076, 0.2339, 0.2371, 0.2557, 0.2328, 0.2275, 0.2222, 0.2004, 0.1542, 0.1359, 0.1721, 0.1923, 0.2194, 0.2449, 0.2307, 0.2409, 0.2208, 0.236, 0.2598, 0.2569, 0.2475, 0.2879, 0.3069, 0.3124, 0.2843, 0.2726, 0.2912, 0.3717, 0.3936, 0.3991, 0.413, 0.4347, 0.4332, 0.4388, 0.4318, 0.4676, 0.5013, 0.5098, 0.5009, 0.5105, 0.5416, 0.5241, 0.4709, 0.4834, 0.473, 0.5194, 0.5142, 0.5306, 0.5547, 0.5368, 0.5464, 0.5464, 0.5416, 0.5223, 0.5549, 0.5479, 0.5256, 0.5402, 0.5338, 0.5509, 0.5222, 0.5166, 0.4658, 0.5065, 0.5082, 0.5474, 0.5357, 0.5207, 0.5216, 0.5185, 0.5197, 0.5177, 0.5177, 0.5461, 0.5891, 0.5778]}
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{"unit_id": "orig:722878572591980544", "ticker_idx": 0, "ts": "2016-04-20T20:04:16+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Heroics will become normal.", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish TSLA: autonomous/autopilot safety heroics will become the norm, implying durable upside.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "original", "lang": "en", "tweet_text": "Heroics will become normal. \"@ARKindu Great piece on $TSLA autopilot & #autonomous safety benefits. https://t.co/DE3IDs2rtW @AarianMarshall\"", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.010401295168812053, "ret_signed_m1d": -0.010401295168812053, "alpha_spy_m1d": -0.00944934530005137, "alpha_c_m1d": -0.0091494670880915, "bench_spy_m1d": -0.000951949868760682, "bench_c_m1d": -0.0012518280807205517, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.006720777009723511, "ret_signed_p1d": -0.006720777009723511, "alpha_spy_p1d": -0.0013422089608232657, "alpha_c_p1d": -0.0032160403944789806, "bench_spy_p1d": -0.005378568048900245, "bench_c_p1d": -0.0035047366152445303, "ret_p1w": 0.006000742810674309, "ret_signed_p1w": 0.006000742810674309, "alpha_spy_p1w": 0.009570383850518782, "alpha_c_p1w": 0.009004514742602554, "bench_spy_p1w": -0.0035696410398444733, "bench_c_p1w": -0.003003771931928245, "ret_p1m": -0.13905673345286218, "ret_signed_p1m": -0.13905673345286218, "alpha_spy_p1m": -0.1109747252284462, "alpha_c_p1m": -0.1051389519337369, "bench_spy_p1m": -0.028082008224415977, "bench_c_p1m": -0.03391778151912528, "ret_p3m": -0.09489143118099452, "ret_signed_p3m": -0.09489143118099452, "alpha_spy_p3m": -0.130281295941026, "alpha_c_p3m": -0.11589852193762851, "bench_spy_p3m": 0.035389864760031475, "bench_c_p3m": 0.021007090756633984, "ret_p6m": -0.1989439269504646, "ret_signed_p6m": -0.1989439269504646, "alpha_spy_p6m": -0.22321497279168911, "alpha_c_p6m": -0.19471984282659882, "bench_spy_p6m": 0.024271045841224526, "bench_c_p6m": -0.004224084123865768, "price_path": [-0.1897, -0.2144, -0.2257, -0.2476, -0.2411, -0.2351, -0.2121, -0.2688, -0.306, -0.2986, -0.3495, -0.408, -0.4069, -0.4253, -0.398, -0.3958, -0.3958, -0.3792, -0.3252, -0.3328, -0.3336, -0.289, -0.2911, -0.2839, -0.2502, -0.2385, -0.2322, -0.2545, -0.2465, -0.2169, -0.1957, -0.1787, -0.1895, -0.165, -0.1792, -0.1699, -0.1393, -0.1265, -0.1122, -0.0944, -0.0689, -0.0466, -0.0629, -0.1096, -0.0889, -0.0889, -0.0788, -0.0794, -0.0923, -0.0808, -0.0495, -0.0119, 0.022, 0.0618, 0.0289, 0.0004, -0.0002, -0.0086, 0.0182, 0.0076, 0.0182, 0.0156, -0.0104, 0.0, -0.0067, 0.0151, 0.0074, 0.0151, 0.006, -0.009, -0.0368, -0.0327, -0.0706, -0.1097, -0.1538, -0.1402, -0.1642, -0.1651, -0.1641, -0.1708, -0.1695, -0.1667, -0.1813, -0.1552, -0.1391, -0.1188, -0.135, -0.1283, -0.1216, -0.0994, -0.1077, -0.1077, -0.107, -0.1217, -0.1241, -0.1239, -0.1172, -0.0705, -0.0578, -0.0824, -0.1247, -0.1284, -0.1401, -0.1291, -0.1282, -0.138, -0.1211, -0.1215, -0.2133, -0.2143, -0.2273, -0.2057, -0.1927, -0.1591, -0.1508, -0.1339, -0.1339, -0.144, -0.1421, -0.1361, -0.1328, -0.1008, -0.1013, -0.1098, -0.1138, -0.1183, -0.0949, -0.0989, -0.0865, -0.1179, -0.1108, -0.0798, -0.0818, -0.0859, -0.0774, -0.0607, -0.0798, -0.0911, -0.0967, -0.0774, -0.0798, -0.0953, -0.0836, -0.0973, -0.1003, -0.0975, -0.0975, -0.1055, -0.1069, -0.1059, -0.0999, -0.1082, -0.1005, -0.1094, -0.1161, -0.1199, -0.1391, -0.1545, -0.1519, -0.1968, -0.2088, -0.2088, -0.1886, -0.1931, -0.2105, -0.222, -0.2067, -0.2157, -0.2143, -0.1982, -0.1783, -0.1745, -0.1813, -0.179, -0.1742, -0.1701, -0.1639, -0.1767, -0.1748, -0.1971, -0.1838, -0.1451, -0.1543, -0.1661, -0.1959, -0.2135, -0.1961, -0.1995, -0.1939, -0.1989]}
{"unit_id": "quote:675361816613023744", "ticker_idx": 0, "ts": "2015-12-11T17:09:39+00:00", "symbol": "IBM", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$IBM is another case in point.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "IBM cited as a Buffett pick on the wrong end of disruption; implied bearish.", "resolved_tickers": ["IBM"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLK", "bench_c_reason": "industry='Information Technology Services'", "bench_c_industry": "Information Technology Services", "unit_kind": "quote", "lang": "en", "tweet_text": "$IBM is another case in point.\nhttps://t.co/OsIFV5isnE", "reply_text": null, "parent_text": null, "quoted_text": "Warren Buffet empathizes moat and durability. But the company he picks are all on the wrong end of disruption. https://t.co/3vr3DMGUEk", "parent_author": null, "ret_m1d": 0.016422611688659883, "ret_signed_m1d": -0.016422611688659883, "alpha_spy_m1d": 0.0033413804743973596, "alpha_c_m1d": 0.00483883539105312, "bench_spy_m1d": 0.019763992163057242, "bench_c_m1d": 0.021261447079713003, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.010106321508053462, "ret_signed_p1d": -0.010106321508053462, "alpha_spy_p1d": -0.0050539582812336725, "alpha_c_p1d": -0.0023961208978904303, "bench_spy_p1d": 0.005052363226819789, "bench_c_p1d": 0.007710200610163032, "ret_p1w": 0.002452492094647152, "ret_signed_p1w": -0.002452492094647152, "alpha_spy_p1w": -0.005769249586609626, "alpha_c_p1w": -0.012223671456914165, "bench_spy_p1w": -0.0033167574919624743, "bench_c_p1w": -0.009771179362267013, "ret_p1m": -0.00995759375957106, "ret_signed_p1m": 0.00995759375957106, "alpha_spy_p1m": -0.03277425362514619, "alpha_c_p1m": -0.04255068824921471, "bench_spy_p1m": -0.04273184738471725, "bench_c_p1m": -0.05250828200878577, "ret_p3m": 0.0540552333886537, "ret_signed_p3m": -0.0540552333886537, "alpha_spy_p3m": -0.06056110120051672, "alpha_c_p3m": -0.06171313661279254, "bench_spy_p3m": -0.00650586781186302, "bench_c_p3m": -0.00765790322413884, "ret_p6m": 0.15760575700402968, "ret_signed_p6m": -0.15760575700402968, "alpha_spy_p6m": -0.0990344158181613, "alpha_c_p6m": -0.1187098521904919, "bench_spy_p6m": 0.058571341185868375, "bench_c_p6m": 0.038895904813537774, "price_path": [0.0861, 0.0926, 0.0906, 0.0639, 0.0784, 0.0633, 0.0576, 0.0631, 0.0706, 0.0492, 0.0489, 0.0673, 0.0571, 0.0644, 0.0972, 0.0953, 0.105, 0.1211, 0.1219, 0.1127, 0.1015, 0.1044, 0.105, 0.1072, 0.0986, 0.0354, 0.0375, 0.0608, 0.0651, 0.0576, 0.0149, 0.0368, 0.0347, 0.0313, 0.0334, 0.0445, 0.0427, 0.0299, 0.0273, 0.0055, 0.0067, 0.0033, -0.0114, -0.021, -0.0064, -0.0056, 0.0093, 0.0161, 0.0292, 0.0289, 0.0299, 0.0255, 0.0255, 0.0289, 0.036, 0.0499, 0.0381, 0.0323, 0.0435, 0.037, 0.0259, 0.0152, 0.0164, 0.0, 0.0101, 0.0239, 0.0351, 0.0162, 0.0025, 0.0069, 0.025, 0.0295, 0.0273, 0.0273, 0.0226, 0.0387, 0.0354, 0.0227, 0.0227, 0.0103, 0.0095, 0.0045, -0.0127, -0.0218, -0.01, -0.0124, -0.0253, -0.0123, -0.0337, -0.0337, -0.048, -0.0944, -0.0866, -0.0897, -0.0928, -0.089, -0.1011, -0.0918, -0.0727, -0.0724, -0.0864, -0.0732, -0.0514, -0.0446, -0.0468, -0.0686, -0.0977, -0.1153, -0.0914, -0.0914, -0.0786, -0.0534, -0.0057, -0.001, 0.0042, -0.0061, -0.0031, 0.0097, -0.0089, -0.0164, 0.0087, 0.0232, 0.0345, 0.0345, 0.0521, 0.044, 0.0541, 0.0524, 0.0687, 0.0718, 0.0732, 0.0869, 0.1038, 0.1042, 0.1158, 0.1118, 0.0915, 0.1107, 0.1107, 0.114, 0.121, 0.1141, 0.1369, 0.145, 0.1416, 0.126, 0.1262, 0.1129, 0.1212, 0.1204, 0.1233, 0.1353, 0.1348, 0.139, 0.145, 0.081, 0.0968, 0.1208, 0.1148, 0.1171, 0.1191, 0.1296, 0.1041, 0.0956, 0.0905, 0.082, 0.0829, 0.0995, 0.1164, 0.1168, 0.1367, 0.129, 0.1281, 0.1196, 0.1328, 0.1218, 0.1168, 0.0985, 0.1161, 0.1124, 0.1241, 0.1497, 0.1554, 0.1584, 0.1584, 0.1653, 0.1559, 0.1634, 0.1588, 0.1576]}
{"unit_id": "quote:677139454721572865", "ticker_idx": 0, "ts": "2015-12-16T14:53:21+00:00", "symbol": "AAPL", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Investors are underestimating the power of #AAPL's higher recurring revenue model to boost its valuation.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish AAPL: recurring revenue model from Upgrade Plan is underestimated and will boost valuation.", "resolved_tickers": ["AAPL"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLK", "bench_c_reason": "industry='Consumer Electronics'", "bench_c_industry": "Consumer Electronics", "unit_kind": "quote", "lang": "en", "tweet_text": "Investors are underestimating the power of #AAPL's higher recurring revenue model to boost its valuation.\nhttps://t.co/RfJaaSezZu", "reply_text": null, "parent_text": null, "quoted_text": "37% of iPhone buyers are going with Apple's Upgrade Plan $AAPL\nThis won't move this qrt but will be huge next year.\nhttps://t.co/34EN78LuBI", "parent_author": null, "ret_m1d": -0.007634368160390093, "ret_signed_m1d": -0.007634368160390093, "alpha_spy_m1d": 0.006787163029765564, "alpha_c_m1d": 0.00580219439648022, "bench_spy_m1d": -0.014421531190155656, "bench_c_m1d": -0.013436562556870313, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.02119649656687883, "ret_signed_p1d": -0.02119649656687883, "alpha_spy_p1d": -0.005958133453705994, "alpha_c_p1d": -0.0054829684247504895, "bench_spy_p1d": -0.015238363113172837, "bench_c_p1d": -0.01571352814212834, "ret_p1w": -0.02451989092628848, "ret_signed_p1w": -0.02451989092628848, "alpha_spy_p1w": -0.020751482199901194, "alpha_c_p1w": -0.014894447460040872, "bench_spy_p1w": -0.0037684087263872845, "bench_c_p1w": -0.009625443466247607, "ret_p1m": -0.10616174517329491, "ret_signed_p1m": -0.10616174517329491, "alpha_spy_p1m": -0.03425958482439584, "alpha_c_p1m": -0.0326779447776242, "bench_spy_p1m": -0.07190216034889907, "bench_c_p1m": -0.0734838003956707, "ret_p3m": -0.07422085013584734, "ret_signed_p3m": -0.07422085013584734, "alpha_spy_p3m": -0.053431050399779134, "alpha_c_p3m": -0.056584053150928626, "bench_spy_p3m": -0.020789799736068204, "bench_c_p3m": -0.017636796984918712, "ret_p6m": -0.09465858364787971, "ret_signed_p6m": -0.09465858364787971, "alpha_spy_p6m": -0.12548318581878282, "alpha_c_p6m": -0.11373364954407772, "bench_spy_p6m": 0.030824602170903104, "bench_c_p6m": 0.019075065896198007, "price_path": [0.0146, 0.0303, 0.0142, 0.0224, 0.0285, 0.0259, 0.0056, -0.0247, -0.0136, -0.02, -0.0128, -0.0093, -0.0045, -0.0093, -0.0207, 0.0027, -0.0019, -0.0002, -0.0144, 0.0004, -0.0069, -0.0008, 0.0175, 0.0174, 0.0329, 0.065, 0.031, 0.0244, 0.0667, 0.0779, 0.0687, 0.0837, 0.0962, 0.0911, 0.086, 0.0873, 0.0829, 0.0488, 0.0428, 0.0393, 0.009, 0.0255, 0.0211, 0.0534, 0.0668, 0.0715, 0.0576, 0.0677, 0.0601, 0.0601, 0.0581, 0.0625, 0.0539, 0.0444, 0.0347, 0.0691, 0.0623, 0.0619, 0.0384, 0.0434, 0.0165, 0.0102, -0.0076, 0.0, -0.0212, -0.0477, -0.036, -0.0369, -0.0245, -0.0297, -0.0297, -0.0406, -0.0234, -0.0361, -0.0546, -0.0546, -0.0538, -0.0775, -0.0956, -0.1337, -0.1292, -0.1151, -0.1022, -0.1253, -0.1062, -0.1276, -0.1276, -0.1318, -0.1307, -0.1351, -0.0891, -0.1069, -0.1019, -0.1609, -0.1549, -0.1257, -0.1339, -0.1514, -0.1346, -0.1277, -0.151, -0.142, -0.1422, -0.1487, -0.1539, -0.1512, -0.1512, -0.1273, -0.114, -0.1307, -0.1327, -0.1252, -0.1449, -0.1322, -0.1262, -0.1249, -0.1269, -0.0922, -0.0902, -0.0834, -0.0698, -0.0801, -0.0877, -0.0869, -0.0864, -0.0766, -0.0742, -0.0556, -0.0431, -0.0446, -0.0435, -0.0436, -0.0363, -0.0416, -0.0458, -0.0458, -0.0501, -0.0276, -0.0106, -0.0158, -0.0068, 0.0034, -0.0084, 0.002, -0.0199, -0.0188, -0.0155, -0.0027, 0.0117, 0.0123, -0.008, -0.0294, -0.0346, -0.0326, -0.0431, -0.0457, -0.0511, -0.0577, -0.1167, -0.1437, -0.1535, -0.1544, -0.1405, -0.1494, -0.1529, -0.1576, -0.157, -0.1513, -0.1595, -0.1792, -0.1776, -0.1471, -0.1506, -0.1409, -0.1442, -0.1349, -0.1239, -0.1106, -0.0949, -0.0878, -0.0883, -0.0883, -0.0928, -0.1055, -0.1122, -0.1104, -0.1039, -0.1003, -0.1011, -0.0947]}
{"unit_id": "quote:639160849223946240", "ticker_idx": 0, "ts": "2015-09-02T19:39:56+00:00", "symbol": "CRM", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": true, "quote": "Isn't $CRM just putting lipstick on a you-know-what?", "tweet_type": "sarcasm", "timeline": "unspecified", "summary": "Skeptical/bearish on CRM's healthcare strategy; dismisses it as cosmetic rather than substantive.", "resolved_tickers": ["CRM"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": "Software - Application", "unit_kind": "quote", "lang": "en", "tweet_text": "Isn't $CRM just putting lipstick on a you-know-what?\nhttps://t.co/HJzTWSTPal", "reply_text": null, "parent_text": null, "quoted_text": "#Salesforce halfway savior to the #Healthcare dinosaurs? ($CERN, Epic, $GE). Don't see any $ATHN integration... http://t.co/30KGl8utue", "parent_author": null, "ret_m1d": -0.019858793905127792, "ret_signed_m1d": -0.019858793905127792, "alpha_spy_m1d": -0.001231388900689523, "alpha_c_m1d": -0.001231388900689523, "bench_spy_m1d": -0.01862740500443827, "bench_c_m1d": -0.01862740500443827, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.003971827107657422, "ret_signed_p1d": 0.003971827107657422, "alpha_spy_p1d": 0.0032556902633043006, "alpha_c_p1d": 0.0032556902633043006, "bench_spy_p1d": 0.0007161368443531213, "bench_c_p1d": 0.0007161368443531213, "ret_p1w": 0.015445918389076718, "ret_signed_p1w": 0.015445918389076718, "alpha_spy_p1w": 0.018619116449210882, "alpha_c_p1w": 0.018619116449210882, "bench_spy_p1w": -0.0031731980601341636, "bench_c_p1w": -0.0031731980601341636, "ret_p1m": 0.07252154537987265, "ret_signed_p1m": 0.07252154537987265, "alpha_spy_p1m": 0.08419543538177654, "alpha_c_p1m": 0.08419543538177654, "bench_spy_p1m": -0.011673890001903886, "bench_c_p1m": -0.011673890001903886, "ret_p3m": 0.17225690494706458, "ret_signed_p3m": 0.17225690494706458, "alpha_spy_p3m": 0.09874526169792941, "alpha_c_p3m": 0.09874526169792941, "bench_spy_p3m": 0.07351164324913517, "bench_c_p3m": 0.07351164324913517, "ret_p6m": 0.021182850152066557, "ret_signed_p6m": 0.021182850152066557, "alpha_spy_p6m": 0.009329038474944262, "alpha_c_p6m": 0.009329038474944262, "bench_spy_p6m": 0.011853811677122295, "bench_c_p6m": 0.011853811677122295, "price_path": [0.0819, 0.0568, 0.0556, 0.0743, 0.065, 0.0558, 0.0674, 0.0797, 0.0947, 0.1137, 0.1033, 0.1, 0.0915, 0.0812, 0.0828, 0.0641, 0.0297, 0.0243, 0.0377, 0.0359, 0.0359, 0.0174, 0.0335, 0.0207, 0.0291, 0.0465, 0.0452, 0.056, 0.0497, 0.0653, 0.0711, 0.0705, 0.0861, 0.0866, 0.0622, 0.0874, 0.0659, 0.0855, 0.0868, 0.0791, 0.0783, 0.0656, 0.0575, 0.0669, 0.036, 0.0357, 0.0484, 0.0537, 0.045, 0.0503, 0.0737, 0.0891, 0.0677, 0.0597, -0.0024, 0.0172, -0.0413, -0.0412, 0.0079, 0.0288, 0.0334, 0.0203, -0.0199, 0.0, 0.004, -0.0125, -0.0125, 0.0409, 0.0154, 0.0259, 0.0305, 0.0281, 0.0484, 0.0574, 0.0638, 0.0503, 0.0612, 0.054, 0.059, 0.0549, 0.0656, 0.0156, 0.0059, 0.0213, 0.0725, 0.0875, 0.1072, 0.0947, 0.1033, 0.1046, 0.1069, 0.1162, 0.1272, 0.1118, 0.143, 0.1587, 0.1464, 0.1405, 0.1155, 0.1381, 0.1556, 0.1506, 0.1437, 0.1552, 0.1495, 0.1431, 0.165, 0.1567, 0.1531, 0.1578, 0.1681, 0.1506, 0.1511, 0.1578, 0.1518, 0.1121, 0.1218, 0.1362, 0.1378, 0.1862, 0.1914, 0.1883, 0.1826, 0.1828, 0.1828, 0.1764, 0.1723, 0.1917, 0.1898, 0.1758, 0.2083, 0.1868, 0.1927, 0.1726, 0.1677, 0.1308, 0.1325, 0.1381, 0.1605, 0.1537, 0.1331, 0.137, 0.1453, 0.148, 0.1449, 0.1449, 0.1503, 0.1686, 0.1642, 0.1533, 0.1533, 0.1284, 0.1334, 0.1222, 0.093, 0.0772, 0.0765, 0.0953, 0.0643, 0.0749, 0.0424, 0.0424, 0.0415, 0.0346, 0.0225, 0.0525, 0.0285, 0.0278, -0.0081, -0.0337, 0.0012, 0.0068, -0.0509, -0.0388, -0.0115, -0.1393, -0.2049, -0.1567, -0.1356, -0.1286, -0.1221, -0.1221, -0.1215, -0.066, -0.0924, -0.0859, -0.0588, -0.0747, -0.0803, 0.0212]}
{"unit_id": "orig:735593549597663232", "ticker_idx": 0, "ts": "2016-05-25T22:09:03+00:00", "symbol": "AMZN", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$AMZN will dominate #automatedconsumption", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish AMZN as dominant player in automated consumption.", "resolved_tickers": ["AMZN"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Internet Retail'", "bench_c_industry": "Internet Retail", "unit_kind": "original", "lang": "en", "tweet_text": "Yes, but $AMZN will dominate #automatedconsumption! \"@ARKwebx0 Don't write off Apple's #AI fortunes just yet.\nhttps://t.co/Sw2T2eeuHq\"", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.005858698678494312, "ret_signed_m1d": -0.005858698678494312, "alpha_spy_m1d": 0.0008790323664826794, "alpha_c_m1d": -0.00040162636679808017, "bench_spy_m1d": -0.006737731044976991, "bench_c_m1d": -0.005457072311696232, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0092609336974534, "ret_signed_p1d": 0.0092609336974534, "alpha_spy_p1d": 0.008974470065247209, "alpha_c_p1d": 0.007229704462645481, "bench_spy_p1d": 0.00028646363220619087, "bench_c_p1d": 0.0020312292348079186, "ret_p1w": 0.015656118783109685, "ret_signed_p1w": 0.015656118783109685, "alpha_spy_p1w": 0.010925349542438179, "alpha_c_p1w": 0.010579014177924728, "bench_spy_p1w": 0.004730769240671506, "bench_c_p1w": 0.005077104605184957, "ret_p1m": 0.01938308909971842, "ret_signed_p1m": 0.01938308909971842, "alpha_spy_p1m": 0.006833956682033238, "alpha_c_p1m": 0.011757801178139626, "bench_spy_p1m": 0.012549132417685183, "bench_c_p1m": 0.007625287921578794, "ret_p3m": 0.0721818173005826, "ret_signed_p3m": 0.0721818173005826, "alpha_spy_p3m": 0.022552379206120188, "alpha_c_p3m": 0.03513448167481692, "bench_spy_p3m": 0.04962943809446241, "bench_c_p3m": 0.037047335625765676, "ret_p6m": 0.06783370321563331, "ret_signed_p6m": 0.06783370321563331, "alpha_spy_p6m": 0.010681719841165505, "alpha_c_p6m": 0.02644853745189657, "bench_spy_p6m": 0.05715198337446781, "bench_c_p6m": 0.04138516576373674, "price_path": [-0.2162, -0.22, -0.1826, -0.1809, -0.1847, -0.1881, -0.2055, -0.2091, -0.2102, -0.2109, -0.1959, -0.1906, -0.1854, -0.1893, -0.2102, -0.2206, -0.2179, -0.2088, -0.1958, -0.177, -0.177, -0.1814, -0.1616, -0.1548, -0.1619, -0.1551, -0.1626, -0.1725, -0.15, -0.1651, -0.1606, -0.1587, -0.1485, -0.132, -0.1237, -0.1164, -0.1031, -0.1136, -0.1064, -0.1092, -0.124, -0.116, -0.1291, -0.1437, -0.1501, -0.0688, -0.0346, -0.0523, -0.0529, -0.0695, -0.0486, -0.0404, -0.0075, 0.0069, 0.0135, 0.0022, 0.0033, -0.0185, -0.0154, -0.0139, -0.0078, -0.0164, -0.0059, 0.0, 0.0093, 0.0055, 0.0055, 0.0204, 0.0157, 0.0281, 0.0243, 0.0259, 0.0217, 0.0258, 0.0272, 0.0135, 0.0097, 0.0155, 0.0083, 0.0129, -0.0028, 0.008, 0.0105, 0.0032, 0.0194, -0.0133, -0.024, -0.0006, 0.0102, 0.0103, 0.0245, 0.0245, 0.0279, 0.0413, 0.0398, 0.0529, 0.0641, 0.0563, 0.0484, 0.0464, 0.0382, 0.0391, 0.0446, 0.0528, 0.0509, 0.0515, 0.0441, 0.0385, 0.04, 0.0625, 0.0712, 0.0838, 0.0737, 0.0653, 0.074, 0.0814, 0.0822, 0.0846, 0.085, 0.0888, 0.0906, 0.0849, 0.0786, 0.0795, 0.0792, 0.0691, 0.0722, 0.0764, 0.069, 0.0718, 0.0856, 0.0889, 0.0836, 0.0858, 0.0879, 0.0905, 0.0905, 0.1137, 0.1075, 0.1069, 0.0731, 0.0891, 0.0743, 0.0745, 0.0866, 0.0991, 0.0942, 0.1015, 0.1149, 0.136, 0.1375, 0.1282, 0.1521, 0.1699, 0.1704, 0.1821, 0.1813, 0.1774, 0.192, 0.1882, 0.185, 0.1883, 0.1731, 0.1775, 0.1707, 0.1618, 0.1477, 0.1543, 0.1544, 0.144, 0.1562, 0.1832, 0.179, 0.1613, 0.1553, 0.096, 0.115, 0.1088, 0.0808, 0.0828, 0.0659, 0.1081, 0.1121, 0.0897, 0.048, 0.0433, 0.0151, 0.0493, 0.0538, 0.0678]}
{"unit_id": "orig:758323847661752320", "ticker_idx": 0, "ts": "2016-07-27T15:31:08+00:00", "symbol": "AAPL", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Apple's services business will be Fortune 100 size by next year, says tim_cook", "tweet_type": "news_reaction", "timeline": "months", "summary": "Relays Tim Cook's forward-looking claim that Apple Services will reach Fortune 100 scale within a year; implicitly bullish AAPL.", "resolved_tickers": ["AAPL"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLK", "bench_c_reason": "industry='Consumer Electronics'", "bench_c_industry": "Consumer Electronics", "unit_kind": "original", "lang": "en", "tweet_text": ". @Apple's services business will be Fortune 100 size by next year, says @tim_cook\nhttps://t.co/CnLexE4w4D by @Yahoo https://t.co/dd0Np7DkQf", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.06100049228927207, "ret_signed_m1d": -0.06100049228927207, "alpha_spy_m1d": -0.062062692127251906, "alpha_c_m1d": -0.05278468828324623, "bench_spy_m1d": 0.001062199837979838, "bench_c_m1d": -0.00821580400602584, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.013501454446640082, "ret_signed_p1d": 0.013501454446640082, "alpha_spy_p1d": 0.012346997040383112, "alpha_c_p1d": 0.012852602324614493, "bench_spy_p1d": 0.0011544574062569701, "bench_c_p1d": 0.0006488521220255894, "ret_p1w": 0.027586022240016383, "ret_signed_p1w": 0.027586022240016383, "alpha_spy_p1w": 0.029156463905382624, "alpha_c_p1w": 0.025423212338770984, "bench_spy_p1w": -0.00157044166536624, "bench_c_p1w": 0.0021628099012453994, "ret_p1m": 0.05053643579474443, "ret_signed_p1m": 0.05053643579474443, "alpha_spy_p1m": 0.04508688521205695, "alpha_c_p1m": 0.033671222514123356, "bench_spy_p1m": 0.005449550582687479, "bench_c_p1m": 0.016865213280621072, "ret_p3m": 0.14897866456219577, "ret_signed_p3m": 0.14897866456219577, "alpha_spy_p3m": 0.15149371480007257, "alpha_c_p3m": 0.10706455629321154, "bench_spy_p3m": -0.0025150502378767925, "bench_c_p3m": 0.04191410826898423, "ret_p6m": 0.17578625286480376, "ret_signed_p6m": 0.17578625286480376, "alpha_spy_p6m": 0.1209672679076561, "alpha_c_p6m": 0.09569136121624444, "bench_spy_p6m": 0.054818984957147654, "bench_c_p6m": 0.08009489164855932, "price_path": [-0.095, -0.0959, -0.0811, -0.0906, -0.0943, -0.0994, -0.0987, -0.0926, -0.1014, -0.1225, -0.1207, -0.0881, -0.0919, -0.0815, -0.085, -0.0751, -0.0633, -0.0491, -0.0323, -0.0247, -0.0253, -0.0253, -0.03, -0.0436, -0.0508, -0.0489, -0.042, -0.0381, -0.039, -0.0321, -0.04, -0.0545, -0.0533, -0.0564, -0.0525, -0.074, -0.0763, -0.0684, -0.0719, -0.0665, -0.0928, -0.106, -0.0909, -0.083, -0.0714, -0.0686, -0.0686, -0.0773, -0.0721, -0.0681, -0.0609, -0.058, -0.0537, -0.0591, -0.0404, -0.0405, -0.0303, -0.0299, -0.029, -0.0342, -0.0417, -0.0545, -0.061, 0.0, 0.0135, 0.0122, 0.0301, 0.0149, 0.0276, 0.0339, 0.0497, 0.0583, 0.0626, 0.0547, 0.0541, 0.0565, 0.0692, 0.0682, 0.0667, 0.0653, 0.068, 0.0597, 0.063, 0.055, 0.0505, 0.0444, 0.0432, 0.0352, 0.0362, 0.0423, 0.0521, 0.0521, 0.0518, 0.0583, 0.0305, 0.0072, 0.0297, 0.0542, 0.0916, 0.1287, 0.1223, 0.1092, 0.1091, 0.1089, 0.1194, 0.1007, 0.1024, 0.1044, 0.1128, 0.0956, 0.1041, 0.0989, 0.1036, 0.1041, 0.1123, 0.1139, 0.1334, 0.1358, 0.146, 0.1424, 0.1488, 0.148, 0.1472, 0.1438, 0.1432, 0.1387, 0.149, 0.1548, 0.1289, 0.118, 0.1106, 0.1088, 0.0888, 0.0898, 0.0781, 0.0684, 0.0838, 0.0902, 0.0884, 0.0581, 0.0644, 0.0377, 0.0514, 0.0797, 0.0793, 0.0804, 0.0968, 0.0975, 0.0919, 0.0919, 0.0974, 0.0952, 0.0941, 0.0849, 0.0748, 0.0788, 0.071, 0.0793, 0.0899, 0.1006, 0.1186, 0.1122, 0.1307, 0.1307, 0.1369, 0.1384, 0.145, 0.148, 0.1491, 0.1415, 0.1438, 0.1438, 0.151, 0.1461, 0.1458, 0.1369, 0.1369, 0.1402, 0.1389, 0.1447, 0.1574, 0.168, 0.1692, 0.1755, 0.1706, 0.1685, 0.1685, 0.1779, 0.1778, 0.1758]}
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{"unit_id": "orig:585859220781867008", "ticker_idx": 0, "ts": "2015-04-08T17:38:17+00:00", "symbol": "AMZN", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$AMZN's gonna be around for a longggg time given the affinity that #millenials have to it", "tweet_type": "prediction", "timeline": "years", "summary": "Bullish AMZN long-term on millennial brand affinity.", "resolved_tickers": ["AMZN"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Internet Retail'", "bench_c_industry": "Internet Retail", "unit_kind": "original", "lang": "en", "tweet_text": "MT @ARKwebx0: $AMZN's gonna be around for a longggg time given the affinity that #millenials have to it. http://t.co/H1a5G6ccJd", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.017812094932326605, "ret_signed_m1d": -0.017812094932326605, "alpha_spy_m1d": -0.014446362570008642, "alpha_c_m1d": -0.00851129082767288, "bench_spy_m1d": -0.0033657323623179636, "bench_c_m1d": -0.009300804104653726, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.006138540562031336, "ret_signed_p1d": 0.006138540562031336, "alpha_spy_p1d": 0.0017155761086491417, "alpha_c_p1d": 0.005221686929465452, "bench_spy_p1d": 0.004422964453382194, "bench_c_p1d": 0.0009168536325658838, "ret_p1w": 0.005902473639110228, "ret_signed_p1w": 0.005902473639110228, "alpha_spy_p1w": -0.005877104538779765, "alpha_c_p1w": 0.007605604529071663, "bench_spy_p1w": 0.011779578177889993, "bench_c_p1w": -0.001703130889961435, "ret_p1m": 0.11983213330145737, "ret_signed_p1m": 0.11983213330145737, "alpha_spy_p1m": 0.11555284375224995, "alpha_c_p1m": 0.1270368370278342, "bench_spy_p1m": 0.004279289549207421, "bench_c_p1m": -0.0072047037263768265, "ret_p3m": 0.1438615244839625, "ret_signed_p3m": 0.1438615244839625, "alpha_spy_p3m": 0.14508492202589574, "alpha_c_p3m": 0.1313540442505532, "bench_spy_p3m": -0.0012233975419332355, "bench_c_p3m": 0.012507480233409307, "ret_p6m": 0.36600210008497003, "ret_signed_p6m": 0.36600210008497003, "alpha_spy_p6m": 0.4328919846925898, "alpha_c_p6m": 0.3792252696562093, "bench_spy_p6m": -0.0668898846076198, "bench_c_p6m": -0.013223169571239257, "price_path": [-0.2211, -0.2355, -0.2268, -0.2307, -0.2472, -0.2373, -0.2373, -0.2407, -0.2202, -0.1859, -0.1805, -0.1877, -0.1953, -0.2028, -0.1821, -0.07, -0.0439, -0.0463, -0.0432, -0.0192, -0.0182, -0.0279, -0.0215, -0.0159, -0.0106, 0.0017, 0.0017, -0.0151, -0.0205, -0.0058, 0.0065, -0.0028, -0.0068, 0.0109, 0.0094, -0.0027, 0.0117, 0.0089, 0.004, 0.0174, -0.0029, -0.0069, -0.0307, -0.0389, -0.0183, -0.0279, -0.0206, -0.0243, -0.0159, -0.0209, -0.0071, -0.016, -0.0187, -0.0269, -0.0363, -0.0279, -0.0173, -0.0239, -0.0287, -0.0235, -0.0235, -0.0109, -0.0178, 0.0, 0.0061, 0.0038, 0.003, 0.0103, 0.0059, 0.0127, -0.0148, 0.0218, 0.0262, 0.0226, 0.0231, 0.1676, 0.1505, 0.1262, 0.1264, 0.1065, 0.1093, 0.1098, 0.1049, 0.0994, 0.1198, 0.1377, 0.1355, 0.1307, 0.1198, 0.134, 0.1175, 0.1155, 0.1063, 0.1119, 0.1323, 0.1218, 0.1218, 0.1161, 0.1317, 0.119, 0.126, 0.1304, 0.1306, 0.1453, 0.1301, 0.12, 0.111, 0.1162, 0.13, 0.1358, 0.1278, 0.1114, 0.1208, 0.1223, 0.1526, 0.1409, 0.1445, 0.17, 0.1565, 0.1545, 0.1493, 0.1276, 0.1387, 0.1474, 0.1482, 0.1482, 0.1439, 0.1456, 0.1272, 0.1395, 0.1635, 0.1951, 0.2213, 0.2098, 0.2473, 0.2671, 0.2804, 0.2802, 0.2809, 0.2649, 0.3888, 0.394, 0.3799, 0.3877, 0.4081, 0.4065, 0.4035, 0.3953, 0.4087, 0.3889, 0.371, 0.3746, 0.3837, 0.3796, 0.3895, 0.3943, 0.404, 0.4035, 0.398, 0.353, 0.2971, 0.2156, 0.2234, 0.3137, 0.3598, 0.3589, 0.3455, 0.3026, 0.3393, 0.324, 0.309, 0.309, 0.3577, 0.356, 0.37, 0.3889, 0.3677, 0.3703, 0.3835, 0.4136, 0.4173, 0.4386, 0.4124, 0.4063, 0.4002, 0.3753, 0.3223, 0.3013, 0.3428, 0.366]}
{"unit_id": "quote:624619396044996608", "ticker_idx": 0, "ts": "2015-07-24T16:37:23+00:00", "symbol": "AMZN", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "#AWS - or Infrastructure as a Service - is growing at an 80% rate and is 4X as profitable as retail!", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish AMZN: AWS growing 80% and 4x more profitable than retail justifies premium over Walmart.", "resolved_tickers": ["AMZN"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Internet Retail'", "bench_c_industry": "Internet Retail", "unit_kind": "quote", "lang": "en", "tweet_text": "That's because #AWS - or Infrastructure as a Service - is growing at an 80% rate and is 4X as profitable as retail!\nhttps://t.co/BW7NdcOaRt", "reply_text": null, "parent_text": null, "quoted_text": "$AMZN has now eclipsed Walmart in market cap with only 1/5th of its sales. #AWS http://t.co/4PBJfNwIla http://t.co/nt7kS0r8Ch", "parent_author": null, "ret_m1d": -0.08922977443843061, "ret_signed_m1d": -0.08922977443843061, "alpha_spy_m1d": -0.09971032605952901, "alpha_c_m1d": -0.08922977443843061, "bench_spy_m1d": 0.0104805516210984, "bench_c_m1d": 0.0, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.003758783055256787, "ret_signed_p1d": 0.003758783055256787, "alpha_spy_p1d": 0.009576231239851518, "alpha_c_p1d": 0.011241264404826201, "bench_spy_p1d": -0.005817448184594731, "bench_c_p1d": -0.007482481349569414, "ret_p1w": 0.012712030497978644, "ret_signed_p1w": 0.012712030497978644, "alpha_spy_p1w": 0.0006929961403152607, "alpha_c_p1w": -0.0046629709167465005, "bench_spy_p1w": 0.012019034357663383, "bench_c_p1w": 0.017375001414725144, "ret_p1m": -0.12475915860211262, "ret_signed_p1m": -0.12475915860211262, "alpha_spy_p1m": -0.03581686504468684, "alpha_c_p1m": -0.030149522626130687, "bench_spy_p1m": -0.08894229355742578, "bench_c_p1m": -0.09460963597598193, "ret_p3m": 0.0497714150334605, "ret_signed_p3m": 0.0497714150334605, "alpha_spy_p3m": 0.07429375914755287, "alpha_c_p3m": 0.054149662915943364, "bench_spy_p3m": -0.024522344114092376, "bench_c_p3m": -0.004378247882482866, "ret_p6m": 0.07698991557257062, "ret_signed_p6m": 0.07698991557257062, "alpha_spy_p6m": 0.1639615821267546, "alpha_c_p6m": 0.16302196410330239, "bench_spy_p6m": -0.08697166655418398, "bench_c_p6m": -0.08603204853073176, "price_path": [-0.1891, -0.189, -0.2033, -0.2013, -0.2009, -0.2044, -0.2084, -0.1937, -0.1808, -0.1824, -0.1859, -0.1937, -0.1835, -0.1953, -0.1968, -0.2034, -0.1994, -0.1847, -0.1923, -0.1923, -0.1963, -0.1851, -0.1943, -0.1892, -0.1861, -0.1859, -0.1753, -0.1863, -0.1936, -0.2001, -0.1963, -0.1863, -0.1822, -0.1879, -0.1997, -0.193, -0.1919, -0.1701, -0.1785, -0.1759, -0.1576, -0.1673, -0.1687, -0.1725, -0.1881, -0.1801, -0.1738, -0.1732, -0.1732, -0.1764, -0.1751, -0.1884, -0.1795, -0.1623, -0.1395, -0.1206, -0.1289, -0.1019, -0.0877, -0.078, -0.0782, -0.0777, -0.0892, 0.0, 0.0038, -0.0064, -0.0008, 0.0139, 0.0127, 0.0106, 0.0047, 0.0143, 0.0001, -0.0128, -0.0102, -0.0037, -0.0066, 0.0005, 0.004, 0.011, 0.0106, 0.0066, -0.0258, -0.066, -0.1248, -0.1191, -0.0541, -0.0209, -0.0216, -0.0312, -0.0621, -0.0356, -0.0467, -0.0575, -0.0575, -0.0224, -0.0237, -0.0136, 0.0, -0.0152, -0.0133, -0.0038, 0.0178, 0.0205, 0.0358, 0.017, 0.0126, 0.0082, -0.0098, -0.0479, -0.063, -0.0331, -0.0164, 0.0059, 0.0269, 0.0152, 0.0236, 0.0071, 0.0196, 0.0392, 0.0368, 0.0291, 0.0624, 0.0781, 0.0826, 0.0594, 0.0498, 0.0651, 0.1315, 0.1496, 0.1541, 0.1656, 0.1835, 0.1822, 0.1869, 0.1811, 0.2107, 0.2384, 0.2455, 0.2381, 0.246, 0.2717, 0.2572, 0.2133, 0.2236, 0.2151, 0.2533, 0.249, 0.2626, 0.2825, 0.2677, 0.2756, 0.2756, 0.2717, 0.2557, 0.2826, 0.2769, 0.2585, 0.2705, 0.2652, 0.2794, 0.2557, 0.251, 0.2092, 0.2427, 0.2441, 0.2764, 0.2668, 0.2545, 0.2552, 0.2526, 0.2536, 0.2519, 0.2519, 0.2754, 0.3108, 0.3016, 0.2767, 0.2767, 0.2032, 0.1971, 0.195, 0.1483, 0.1466, 0.1668, 0.1671, 0.099, 0.1201, 0.077, 0.077]}
{"unit_id": "orig:601026591565553665", "ticker_idx": 0, "ts": "2015-05-20T14:08:00+00:00", "symbol": "HUBS", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$HUBS is partnering with #Shopify, and others, to create a better #CRM system. ARK is signing up to be a user.", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish HUBS on Shopify partnership and improved CRM system; ARK adopting it as a user.", "resolved_tickers": ["HUBS"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": "Software - Application", "unit_kind": "original", "lang": "en", "tweet_text": "$HUBS is partnering with #Shopify, and others, to create a better #CRM system. ARK is signing up to be a user. uphttp://bit.ly/1Scqn0R", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.02644693484178362, "ret_signed_m1d": -0.02644693484178362, "alpha_spy_m1d": -0.02715179031366788, "alpha_c_m1d": -0.02715179031366788, "bench_spy_m1d": 0.0007048554718842581, "bench_c_m1d": 0.0007048554718842581, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.02184743930588584, "ret_signed_p1d": 0.02184743930588584, "alpha_spy_p1d": 0.01893478347940225, "alpha_c_p1d": 0.01893478347940225, "bench_spy_p1d": 0.00291265582648359, "bench_c_p1d": 0.00291265582648359, "ret_p1w": 0.013990025641374304, "ret_signed_p1w": 0.013990025641374304, "alpha_spy_p1w": 0.014835335198731925, "alpha_c_p1w": 0.014835335198731925, "bench_spy_p1w": -0.0008453095573576208, "bench_c_p1w": -0.0008453095573576208, "ret_p1m": -0.020697620251787563, "ret_signed_p1m": -0.020697620251787563, "alpha_spy_p1m": -0.020228003831033292, "alpha_c_p1m": -0.020228003831033292, "bench_spy_p1m": -0.0004696164207542708, "bench_c_p1m": -0.0004696164207542708, "ret_p3m": -0.08259872265396484, "ret_signed_p3m": -0.08259872265396484, "alpha_spy_p3m": -0.07665380960796897, "alpha_c_p3m": -0.07665380960796897, "bench_spy_p3m": -0.00594491304599587, "bench_c_p3m": -0.00594491304599587, "ret_p6m": 0.01628973685607238, "ret_signed_p6m": 0.01628973685607238, "alpha_spy_p6m": 0.04434996425726856, "alpha_c_p6m": 0.04434996425726856, "bench_spy_p6m": -0.02806022740119618, "bench_c_p6m": -0.02806022740119618, "price_path": [-0.1669, -0.1899, -0.2194, -0.2058, -0.2058, -0.2125, -0.202, -0.2031, -0.2292, -0.2442, -0.258, -0.2474, -0.2466, -0.2518, -0.2219, -0.2449, -0.2635, -0.285, -0.1997, -0.1903, -0.2062, -0.212, -0.2348, -0.2718, -0.2624, -0.2545, -0.2304, -0.2353, -0.2397, -0.2491, -0.2491, -0.248, -0.2428, -0.2537, -0.2718, -0.2614, -0.2572, -0.2557, -0.2428, -0.2415, -0.2507, -0.2411, -0.2281, -0.2495, -0.2401, -0.2514, -0.2495, -0.2486, -0.2428, -0.2581, -0.2555, -0.2298, -0.2371, -0.2286, -0.082, -0.1041, -0.1173, -0.0711, -0.06, -0.0648, -0.0588, -0.055, -0.0264, 0.0, 0.0218, 0.0195, 0.0195, 0.0057, 0.014, -0.0042, -0.0264, -0.0393, -0.0634, -0.0519, -0.0523, -0.037, -0.0389, -0.0368, -0.0272, -0.0309, -0.0261, -0.0218, -0.0236, -0.0111, -0.0207, -0.0506, -0.0184, -0.0291, -0.0364, -0.0272, -0.0563, -0.069, -0.0498, -0.0581, -0.0887, -0.0887, -0.0814, -0.0678, -0.0473, -0.0418, -0.033, -0.027, -0.0224, -0.0412, -0.0098, -0.0172, -0.0276, -0.0272, -0.0082, 0.0094, 0.0215, 0.0113, 0.0148, 0.0372, 0.0261, 0.0339, 0.0067, 0.0153, 0.0008, -0.032, -0.0483, -0.0207, -0.0832, -0.125, -0.114, -0.0799, -0.0826, -0.1012, -0.1087, -0.1188, -0.1685, -0.1809, -0.1755, -0.1445, -0.1347, -0.1106, -0.0937, -0.1309, -0.1184, -0.1257, -0.1468, -0.1468, -0.102, -0.1159, -0.1018, -0.0596, -0.0926, -0.0811, -0.0686, -0.0307, -0.0102, -0.0063, -0.0153, -0.0236, -0.0414, -0.0721, -0.0811, -0.0897, -0.1113, -0.1234, -0.11, -0.0882, -0.0949, -0.0939, -0.0928, -0.0694, -0.0648, -0.0726, -0.0814, -0.0678, -0.0539, -0.0475, -0.0677, -0.0885, -0.0661, -0.0542, -0.0483, -0.0613, -0.0393, -0.0264, -0.0057, 0.0046, -0.0013, 0.0178, 0.028, 0.0146, 0.0148, 0.0155, -0.0092, 0.0163]}
{"unit_id": "orig:493072720519639041", "ticker_idx": 0, "ts": "2014-07-26T16:37:52+00:00", "symbol": "ILMN", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "I bought it", "tweet_type": "position_disclosure", "timeline": "unspecified", "summary": "Bought ILMN after it failed to break to new highs on a strong report; still holding.", "resolved_tickers": ["ILMN"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLV", "bench_c_reason": "industry='Diagnostics & Research'", "bench_c_industry": "Diagnostics & Research", "unit_kind": "original", "lang": "en", "tweet_text": "@JaneJanehw $ILMN had returned to its old highs and it didn't break out to new highs on a terrific report, a sell cue for some. I bought it.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.029804882278237743, "ret_signed_m1d": 0.029804882278237743, "alpha_spy_m1d": 0.030209526806959097, "alpha_c_m1d": 0.03077464054661061, "bench_spy_m1d": -0.00040464452872135404, "bench_c_m1d": -0.0009697582683728667, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.003913763834132222, "ret_signed_p1d": 0.003913763834132222, "alpha_spy_p1d": 0.008210994625774126, "alpha_c_p1d": 0.0031059057602635942, "bench_spy_p1d": -0.004297230791641904, "bench_c_p1d": 0.0008078580738686281, "ret_p1w": -0.02631264284180168, "ret_signed_p1w": -0.02631264284180168, "alpha_spy_p1w": -0.006545192993491655, "alpha_c_p1w": -0.015487060878558667, "bench_spy_p1w": -0.019767449848310026, "bench_c_p1w": -0.010825581963243014, "ret_p1m": 0.08050332072065847, "ret_signed_p1m": 0.08050332072065847, "alpha_spy_p1m": 0.06771278947791326, "alpha_c_p1m": 0.05125778309476958, "bench_spy_p1m": 0.012790531242745207, "bench_c_p1m": 0.029245537625888884, "ret_p3m": 0.1189787794625532, "ret_signed_p3m": 0.1189787794625532, "alpha_spy_p3m": 0.12888165442428845, "alpha_c_p3m": 0.07617327909760574, "bench_spy_p3m": -0.009902874961735253, "bench_c_p3m": 0.04280550036494746, "ret_p6m": 0.1845495771438761, "ret_signed_p6m": 0.1845495771438761, "alpha_spy_p6m": 0.15257306083025557, "alpha_c_p6m": 0.039255652866867274, "bench_spy_p6m": 0.03197651631362053, "bench_c_p6m": 0.14529392427700882, "price_path": [-0.182, -0.159, -0.1621, -0.147, -0.1598, -0.1472, -0.1575, -0.137, -0.1075, -0.1036, -0.1286, -0.1284, -0.1328, -0.0841, -0.1069, -0.0729, -0.0524, -0.0414, -0.0414, -0.0384, -0.0523, -0.0374, -0.0471, -0.0446, -0.0391, -0.031, -0.012, 0.0173, 0.0317, 0.0561, 0.0682, 0.0357, 0.0268, 0.0199, 0.0227, 0.0297, 0.0399, 0.0538, 0.0276, 0.0161, 0.0288, 0.0295, 0.0399, 0.075, 0.1001, 0.0866, 0.101, 0.101, 0.072, 0.0293, 0.0551, 0.0476, 0.0636, 0.0707, 0.0341, 0.0302, 0.0005, 0.048, 0.0591, 0.0616, 0.0877, 0.0344, 0.0298, 0.0, 0.0039, -0.0063, -0.0372, -0.0314, -0.0263, -0.0379, -0.0408, -0.0415, 0.0082, -0.0117, -0.019, 0.0003, 0.0116, 0.015, 0.0373, 0.0266, 0.0414, 0.0362, 0.0356, 0.0712, 0.0805, 0.0835, 0.0783, 0.08, 0.08, 0.0822, 0.0704, 0.067, 0.0763, 0.085, 0.0546, 0.0726, 0.0666, 0.0402, 0.0122, 0.0418, 0.0658, 0.0713, 0.0372, 0.0264, 0.0072, 0.0154, -0.0132, -0.0039, -0.0052, -0.013, -0.0444, -0.0394, -0.0168, -0.0178, -0.0488, -0.0167, -0.0414, -0.0732, -0.0967, -0.1021, -0.0752, -0.0352, -0.007, -0.0097, 0.0811, 0.1128, 0.119, 0.1387, 0.1519, 0.1479, 0.1373, 0.1646, 0.1596, 0.1701, 0.1525, 0.1222, 0.1432, 0.122, 0.1336, 0.1322, 0.1255, 0.1139, 0.0868, 0.1013, 0.1431, 0.1442, 0.1215, 0.1189, 0.151, 0.1393, 0.1555, 0.1555, 0.1494, 0.1418, 0.133, 0.1516, 0.149, 0.1434, 0.1434, 0.1278, 0.1071, 0.1249, 0.1097, 0.0736, 0.0548, 0.0911, 0.1277, 0.1438, 0.1406, 0.1049, 0.1213, 0.1213, 0.1332, 0.1412, 0.1217, 0.1114, 0.1114, 0.1164, 0.1484, 0.1339, 0.1737, 0.1851, 0.1729, 0.1446, 0.1145, 0.0983, 0.0893, 0.1068, 0.1068, 0.1845]}
{"unit_id": "orig:755477818641903618", "ticker_idx": 0, "ts": "2016-07-19T19:02:02+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "potentially good news for $TSLA Model 3", "tweet_type": "news_reaction", "timeline": "unspecified", "summary": "India's EV fleet push and land offer to Tesla seen as bullish catalyst for TSLA.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "original", "lang": "en", "tweet_text": "India wants to switch to an EV fleet, potentially good news for $TSLA Model 3.\"@ARKindu India offers land to Tesla. https://t.co/eJrydiRsKd\"", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.0043949204966211575, "ret_signed_m1d": 0.0043949204966211575, "alpha_spy_m1d": 0.0033771328916625265, "alpha_c_m1d": 0.0025466346617313285, "bench_spy_m1d": 0.001017787604958631, "bench_c_m1d": 0.001848285834889829, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.013761894071912417, "ret_signed_p1d": 0.013761894071912417, "alpha_spy_p1d": 0.009598923755276711, "alpha_c_p1d": 0.00957198803867687, "bench_spy_p1d": 0.004162970316635706, "bench_c_p1d": 0.0041899060332355464, "ret_p1w": 0.018867116937615558, "ret_signed_p1w": 0.018867116937615558, "alpha_spy_p1w": 0.01627657268447491, "alpha_c_p1w": 0.012828404454923392, "bench_spy_p1w": 0.0025905442531406475, "bench_c_p1w": 0.006038712482692166, "ret_p1m": -0.008967400709286255, "ret_signed_p1m": -0.008967400709286255, "alpha_spy_p1m": -0.019051225415433692, "alpha_c_p1m": -0.013403765678423274, "bench_spy_p1m": 0.010083824706147437, "bench_c_p1m": 0.004436364969137019, "ret_p3m": -0.12763025411805495, "ret_signed_p3m": -0.12763025411805495, "alpha_spy_p3m": -0.11840950338337186, "alpha_c_p3m": -0.10360743204141509, "bench_spy_p3m": -0.009220750734683092, "bench_c_p3m": -0.02402282207663986, "ret_p6m": 0.019843758880764062, "ret_signed_p6m": 0.019843758880764062, "alpha_spy_p6m": -0.042150291586624755, "alpha_c_p6m": -0.022144118296680393, "bench_spy_p6m": 0.06199405046738882, "bench_c_p6m": 0.041987877177444455, "price_path": [0.1022, 0.1265, 0.1179, 0.1264, 0.1164, 0.0997, 0.0688, 0.0734, 0.0313, -0.012, -0.061, -0.0459, -0.0725, -0.0736, -0.0724, -0.0798, -0.0784, -0.0753, -0.0914, -0.0625, -0.0446, -0.0221, -0.0401, -0.0326, -0.0252, -0.0006, -0.0099, -0.0099, -0.009, -0.0253, -0.028, -0.0278, -0.0203, 0.0314, 0.0455, 0.0182, -0.0287, -0.0328, -0.0457, -0.0336, -0.0325, -0.0435, -0.0247, -0.0251, -0.127, -0.1281, -0.1425, -0.1186, -0.1042, -0.0669, -0.0576, -0.0389, -0.0389, -0.0501, -0.048, -0.0414, -0.0376, -0.0021, -0.0027, -0.0121, -0.0166, -0.0216, 0.0044, 0.0, 0.0138, -0.0211, -0.0133, 0.0211, 0.0189, 0.0143, 0.0238, 0.0423, 0.0211, 0.0086, 0.0024, 0.0238, 0.0212, 0.004, 0.017, 0.0017, -0.0016, 0.0016, 0.0015, -0.0073, -0.009, -0.0078, -0.0012, -0.0103, -0.0019, -0.0117, -0.0191, -0.0234, -0.0447, -0.0618, -0.0588, -0.1087, -0.122, -0.122, -0.0996, -0.1045, -0.1239, -0.1367, -0.1197, -0.1297, -0.1281, -0.1103, -0.0882, -0.084, -0.0915, -0.089, -0.0836, -0.0791, -0.0722, -0.0863, -0.0843, -0.109, -0.0942, -0.0513, -0.0615, -0.0746, -0.1077, -0.1272, -0.1079, -0.1117, -0.1054, -0.1111, -0.1276, -0.139, -0.1161, -0.0963, -0.1161, -0.1117, -0.0999, -0.1017, -0.1022, -0.0943, -0.1123, -0.1222, -0.153, -0.1653, -0.168, -0.154, -0.1423, -0.1346, -0.1563, -0.1772, -0.1629, -0.1945, -0.1842, -0.1835, -0.1625, -0.1786, -0.1809, -0.1513, -0.1426, -0.1426, -0.127, -0.1294, -0.1584, -0.1592, -0.1926, -0.1944, -0.1707, -0.175, -0.1425, -0.1464, -0.1469, -0.1457, -0.1203, -0.118, -0.1229, -0.1011, -0.1, -0.0731, -0.078, -0.0746, -0.0529, -0.0529, -0.0254, -0.0245, -0.047, -0.0514, -0.0514, -0.0367, 0.0077, 0.0066, 0.0166, 0.0267, 0.0205, 0.0198]}
{"unit_id": "quote:600636656278896641", "ticker_idx": 0, "ts": "2015-05-19T12:18:32+00:00", "symbol": "MSFT", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "#HoloLens could be the sleeper at $MSFT", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish MSFT; HoloLens/AR seen as an underappreciated upside catalyst.", "resolved_tickers": ["MSFT"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": "Software - Infrastructure", "unit_kind": "quote", "lang": "en", "tweet_text": "#HoloLens could be the sleeper at $MSFT.\nhttps://t.co/DuO5y5C8MM", "reply_text": null, "parent_text": null, "quoted_text": "\"There's no end to the potential of this #technology\" #Microsoft all in on #HoloLens and #AR w/ new hire http://t.co/F0FP3OzRJg", "parent_author": null, "ret_m1d": 0.002522146254098745, "ret_signed_m1d": 0.002522146254098745, "alpha_spy_m1d": 0.0021936463045577614, "alpha_c_m1d": 0.0021936463045577614, "bench_spy_m1d": 0.0003284999495409835, "bench_c_m1d": 0.0003284999495409835, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0, "ret_signed_p1d": 0.0, "alpha_spy_p1d": 0.000704359000588628, "alpha_c_p1d": 0.000704359000588628, "bench_spy_p1d": -0.000704359000588628, "bench_c_p1d": -0.000704359000588628, "ret_p1w": -0.020806751273189428, "ret_signed_p1w": -0.020806751273189428, "alpha_spy_p1w": -0.009869382048890207, "alpha_c_p1w": -0.009869382048890207, "bench_spy_p1w": -0.01093736922429922, "bench_c_p1w": -0.01093736922429922, "ret_p1m": -0.033837358707709764, "ret_signed_p1m": -0.033837358707709764, "alpha_spy_p1m": -0.02238343084715977, "alpha_c_p1m": -0.02238343084715977, "bench_spy_p1m": -0.011453927860549995, "bench_c_p1m": -0.011453927860549995, "ret_p3m": -0.012189923083906096, "ret_signed_p3m": -0.012189923083906096, "alpha_spy_p3m": -2.5867023129344524e-05, "alpha_c_p3m": -2.5867023129344524e-05, "bench_spy_p3m": -0.012164056060776751, "bench_c_p3m": -0.012164056060776751, "ret_p6m": 0.13501045822516433, "ret_signed_p6m": 0.13501045822516433, "alpha_spy_p6m": 0.15000486640688826, "alpha_c_p6m": 0.15000486640688826, "bench_spy_p6m": -0.014994408181723928, "bench_c_p6m": -0.014994408181723928, "price_path": [-0.0917, -0.0841, -0.0781, -0.0793, -0.0814, -0.08, -0.0843, -0.0837, -0.0962, -0.1008, -0.0998, -0.1155, -0.1052, -0.1223, -0.1234, -0.1434, -0.1359, -0.1322, -0.1292, -0.1125, -0.1169, -0.1046, -0.105, -0.1042, -0.1343, -0.1395, -0.1445, -0.1447, -0.151, -0.1497, -0.1587, -0.1587, -0.1324, -0.1328, -0.1351, -0.1338, -0.1288, -0.128, -0.1303, -0.1175, -0.1196, -0.1309, -0.104, -0.1096, -0.1023, -0.095, -0.0004, 0.0029, 0.0265, 0.0244, 0.0157, 0.0161, 0.0073, -0.006, -0.0336, -0.0248, -0.0029, -0.0108, -0.0113, -0.0054, 0.0173, 0.0086, 0.0025, 0.0, 0.0, -0.0034, -0.0143, -0.0143, -0.0208, 0.0006, -0.0027, -0.0151, -0.0074, -0.0139, -0.0153, -0.0256, -0.0303, -0.0389, -0.0406, -0.0204, -0.024, -0.0338, -0.0441, -0.0368, -0.0338, -0.0181, -0.0311, -0.0284, -0.0351, -0.0408, -0.0406, -0.0488, -0.0675, -0.0721, -0.0658, -0.0668, -0.0668, -0.067, -0.0689, -0.0702, -0.0643, -0.0624, -0.0429, -0.0412, -0.0383, -0.0193, -0.0202, -0.0139, -0.0063, -0.0429, -0.0309, -0.0345, -0.0469, -0.0471, -0.0271, -0.0147, -0.0185, -0.0162, -0.0008, 0.0, -0.0202, -0.0177, -0.0053, -0.0246, -0.0177, -0.0179, -0.0122, -0.0055, 0.0, -0.0139, -0.034, -0.0888, -0.1182, -0.1438, -0.0964, -0.0713, -0.0706, -0.0793, -0.1153, -0.0827, -0.0797, -0.0986, -0.0986, -0.0715, -0.0888, -0.0842, -0.0801, -0.0895, -0.0696, -0.0628, -0.0639, -0.0801, -0.0668, -0.0713, -0.0719, -0.071, -0.0704, -0.0842, -0.081, -0.0636, -0.0562, -0.0359, -0.0135, -0.011, -0.0099, 0.0038, -0.0033, -0.0057, -0.008, -0.0124, -0.0055, 0.0051, 0.0074, 0.0106, -0.0014, 0.0161, 0.1185, 0.1477, 0.1359, 0.142, 0.1289, 0.1136, 0.1263, 0.1456, 0.1509, 0.1505, 0.1619, 0.1458, 0.132, 0.135]}
{"unit_id": "quote:660205449661149184", "ticker_idx": 0, "ts": "2015-10-30T21:23:39+00:00", "symbol": "AMZN", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Amazon's database Aurora, mentioned twice on $AMZN's earnings call, is one tenth the cost of an $ORCL database", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish AMZN Aurora displacing ORCL at 1/10th the cost; bearish ORCL as the migration target.", "resolved_tickers": ["AMZN"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Internet Retail'", "bench_c_industry": "Internet Retail", "unit_kind": "quote", "lang": "en", "tweet_text": "#Amazon's database Aurora, mentioned twice on $AMZN's earnings call, is one tenth the cost of an $ORCL database.\nhttps://t.co/REZRT0BYSY", "reply_text": null, "parent_text": null, "quoted_text": "2/ $AMZN is actively targeting the likes of $ORCL now with its #Database Migration Services. Amazon Aurora out to kill", "parent_author": null, "ret_m1d": 0.0010384826098501776, "ret_signed_m1d": 0.0010384826098501776, "alpha_spy_m1d": -0.0032897443699639872, "alpha_c_m1d": 0.003138213270404866, "bench_spy_m1d": 0.004328226979814165, "bench_c_m1d": -0.0020997306605546884, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.003914346242011257, "ret_signed_p1d": 0.003914346242011257, "alpha_spy_p1d": -0.007916245642176634, "alpha_c_p1d": -0.0006553763133381185, "bench_spy_p1d": 0.011830591884187891, "bench_c_p1d": 0.004569722555349376, "ret_p1w": 0.05347493687830984, "ret_signed_p1w": 0.05347493687830984, "alpha_spy_p1w": 0.04332735514205299, "alpha_c_p1w": 0.04791732314281116, "bench_spy_p1w": 0.01014758173625685, "bench_c_p1w": 0.005557613735498679, "ret_p1m": 0.06215055431957639, "ret_signed_p1m": 0.06215055431957639, "alpha_spy_p1m": 0.05849526938386229, "alpha_c_p1m": 0.06449712580295774, "bench_spy_p1m": 0.003655284935714098, "bench_c_p1m": -0.0023465714833813545, "ret_p3m": -0.06798212266723092, "ret_signed_p3m": -0.06798212266723092, "alpha_spy_p3m": 0.021857517994818276, "alpha_c_p3m": 0.034408358610082734, "bench_spy_p3m": -0.08983964066204919, "bench_c_p3m": -0.10239048127731365, "ret_p6m": 0.0004792902895629503, "ret_signed_p6m": 0.0004792902895629503, "alpha_spy_p6m": -0.013967434753479502, "alpha_c_p6m": 0.009891970665221295, "bench_spy_p6m": 0.014446725043042452, "bench_c_p6m": -0.009412680375658344, "price_path": [-0.1502, -0.142, -0.1541, -0.165, -0.1628, -0.1573, -0.1598, -0.1538, -0.1508, -0.1449, -0.1452, -0.1486, -0.1759, -0.21, -0.2597, -0.2549, -0.1999, -0.1718, -0.1724, -0.1806, -0.2067, -0.1843, -0.1936, -0.2027, -0.2027, -0.1731, -0.1742, -0.1656, -0.1541, -0.167, -0.1654, -0.1574, -0.139, -0.1368, -0.1238, -0.1398, -0.1435, -0.1472, -0.1624, -0.1947, -0.2074, -0.1822, -0.168, -0.1492, -0.1314, -0.1413, -0.1341, -0.1482, -0.1376, -0.121, -0.123, -0.1295, -0.1014, -0.0881, -0.0843, -0.1039, -0.112, -0.099, -0.0429, -0.0276, -0.0238, -0.0141, 0.001, 0.0, 0.0039, -0.0009, 0.024, 0.0475, 0.0535, 0.0473, 0.054, 0.0757, 0.0634, 0.0263, 0.035, 0.0278, 0.0601, 0.0565, 0.068, 0.0848, 0.0723, 0.079, 0.079, 0.0757, 0.0622, 0.0849, 0.0801, 0.0645, 0.0747, 0.0702, 0.0822, 0.0621, 0.0582, 0.0228, 0.0511, 0.0523, 0.0797, 0.0715, 0.0611, 0.0617, 0.0595, 0.0604, 0.0589, 0.0589, 0.0788, 0.1088, 0.1009, 0.0799, 0.0799, 0.0177, 0.0126, 0.0108, -0.0287, -0.0301, -0.013, -0.0128, -0.0704, -0.0526, -0.089, -0.089, -0.0822, -0.0865, -0.0813, -0.0472, -0.0469, -0.0394, -0.068, 0.0151, -0.0622, -0.0816, -0.1179, -0.1515, -0.1432, -0.1977, -0.2202, -0.2298, -0.2164, -0.195, -0.1898, -0.1898, -0.1674, -0.1467, -0.1612, -0.1454, -0.1061, -0.1166, -0.1148, -0.113, -0.1129, -0.1172, -0.0749, -0.073, -0.0773, -0.0811, -0.1008, -0.1049, -0.1061, -0.107, -0.0899, -0.0839, -0.0781, -0.0825, -0.1062, -0.1179, -0.1149, -0.1045, -0.0899, -0.0686, -0.0686, -0.0735, -0.0512, -0.0435, -0.0515, -0.0438, -0.0523, -0.0635, -0.0381, -0.0551, -0.05, -0.0479, -0.0363, -0.0177, -0.0082, -0.0, 0.0151, 0.0032, 0.0113, 0.0081, -0.0086, 0.0005]}
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{"unit_id": "orig:739255798048514048", "ticker_idx": 0, "ts": "2016-06-05T00:41:31+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Transaction volumes that are up and to the right only mean good things for #bitcoin", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Rising Bitcoin transaction volumes seen as a bullish signal for BTC.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "original", "lang": "en", "tweet_text": "Transaction volumes that are up and to the right only mean good things for #bitcoin https://t.co/C8vhkEkUsR https://t.co/4pCv0bzn8p", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.027911161775371895, "ret_signed_m1d": -0.027911161775371895, "alpha_spy_m1d": -0.02284865717060358, "alpha_c_m1d": null, "bench_spy_m1d": -0.005062504604768314, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.015268040508522596, "ret_signed_p1d": -0.015268040508522596, "alpha_spy_p1d": -0.01682943406289228, "alpha_c_p1d": null, "bench_spy_p1d": 0.0015613935543696833, "bench_c_p1d": null, "ret_p1w": 0.20295727141823394, "ret_signed_p1w": 0.20295727141823394, "alpha_spy_p1w": 0.21667848253412558, "alpha_c_p1w": null, "bench_spy_p1w": -0.01372121111589164, "bench_c_p1w": null, "ret_p1m": 0.14531964453202284, "ret_signed_p1m": 0.14531964453202284, "alpha_spy_p1m": 0.15410207962783984, "alpha_c_p1m": null, "bench_spy_p1m": -0.008782435095816998, "bench_c_p1m": null, "ret_p3m": -0.02260149072730755, "ret_signed_p3m": -0.02260149072730755, "alpha_spy_p3m": -0.05652895637414246, "alpha_c_p3m": null, "bench_spy_p3m": 0.03392746564683491, "bench_c_p3m": null, "ret_p6m": 0.25628955959271327, "ret_signed_p6m": 0.25628955959271327, "alpha_spy_p6m": 0.20031359217072153, "alpha_c_p6m": null, "bench_spy_p6m": 0.055975967421991735, "bench_c_p6m": null, "price_path": [-0.2915, -0.2876, -0.2798, -0.2888, -0.2881, -0.2878, -0.2816, -0.3006, -0.2941, -0.286, -0.2861, -0.2889, -0.2875, -0.2755, -0.2887, -0.2916, -0.2883, -0.2862, -0.2802, -0.2758, -0.2769, -0.278, -0.2821, -0.2785, -0.2738, -0.2763, -0.2754, -0.2661, -0.268, -0.2562, -0.2462, -0.2325, -0.2388, -0.212, -0.204, -0.2405, -0.2332, -0.2228, -0.2406, -0.231, -0.2371, -0.2349, -0.2151, -0.2136, -0.2299, -0.2268, -0.2233, -0.2218, -0.2244, -0.225, -0.2236, -0.2507, -0.244, -0.2415, -0.2383, -0.2322, -0.2257, -0.1914, -0.0882, -0.0925, -0.083, -0.0812, -0.0279, 0.0, -0.0153, -0.0066, -0.0186, -0.0138, 0.203, 0.1708, 0.186, 0.3087, 0.279, 0.2591, 0.1385, 0.0181, 0.0656, 0.1362, 0.1191, 0.105, 0.0928, 0.1499, 0.155, 0.1676, 0.1453, 0.1568, 0.094, 0.1383, 0.1061, 0.1349, 0.1177, 0.1239, 0.1327, 0.1496, 0.1491, 0.1369, 0.1357, 0.1111, 0.1171, 0.1131, 0.1175, 0.1187, 0.122, 0.0354, -0.065, -0.0328, -0.0124, -0.0179, 0.0094, 0.0039, 0.0112, 0.0061, 0.0035, -0.0312, -0.0138, -0.021, -0.0192, -0.0169, 0.0021, -0.0036, -0.0091, -0.0133, -0.0101, -0.0195, -0.0137, -0.0172, -0.0226, -0.0171, 0.036, 0.0425, 0.0495, 0.0696, 0.0637, 0.0388, 0.0405, 0.0429, 0.0369, 0.0366, 0.0405, 0.0389, 0.0198, 0.0184, 0.0296, 0.0384, 0.0352, 0.0328, 0.0344, 0.0413, 0.0454, 0.0421, 0.0461, 0.0469, 0.0539, 0.0571, 0.0948, 0.0865, 0.0875, 0.0937, 0.0916, 0.0895, 0.0768, 0.0774, 0.0808, 0.1165, 0.1231, 0.1584, 0.1755, 0.1778, 0.1971, 0.2464, 0.2652, 0.1762, 0.201, 0.2008, 0.2123, 0.2352, 0.222, 0.2235, 0.2041, 0.2153, 0.271, 0.2655, 0.2836, 0.2625, 0.2832, 0.2716, 0.2643, 0.2666, 0.2566, 0.2563]}
{"unit_id": "orig:514860551772446721", "ticker_idx": 0, "ts": "2014-09-24T19:34:55+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Excellent...convincing! MT @businessinsider: Winklevoss Twins' presentation on why Bitcoin, the \"internet of money.\"", "tweet_type": "news_reaction", "timeline": "unspecified", "summary": "Author finds the Winklevoss Bitcoin bull case convincing; implied endorsement of long BTC.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "original", "lang": "en", "tweet_text": "Excellent...convincing! MT @businessinsider: Winklevoss Twins' presentation on why Bitcoin, the \"internet of money.\" http://t.co/LSPgmQssvJ", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.0297397217294062, "ret_signed_m1d": 0.0297397217294062, "alpha_spy_m1d": 0.037506580242680276, "alpha_c_m1d": null, "bench_spy_m1d": -0.0077668585132740775, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.027483091679796234, "ret_signed_p1d": -0.027483091679796234, "alpha_spy_p1d": -0.011347589108560263, "alpha_c_p1d": null, "bench_spy_p1d": -0.01613550257123597, "bench_c_p1d": null, "ret_p1w": -0.09354803840698678, "ret_signed_p1w": -0.09354803840698678, "alpha_spy_p1w": -0.06744083238252119, "alpha_c_p1w": null, "bench_spy_p1w": -0.02610720602446559, "bench_c_p1w": null, "ret_p1m": -0.15308892012240638, "ret_signed_p1m": -0.15308892012240638, "alpha_spy_p1m": -0.12988814702944318, "alpha_c_p1m": null, "bench_spy_p1m": -0.0232007730929632, "bench_c_p1m": null, "ret_p3m": -0.21577959414839543, "ret_signed_p3m": -0.21577959414839543, "alpha_spy_p3m": -0.2611549855016414, "alpha_c_p3m": null, "bench_spy_p3m": 0.045375391353245975, "bench_c_p3m": null, "ret_p6m": -0.38344769718669747, "ret_signed_p6m": -0.38344769718669747, "alpha_spy_p6m": -0.4390517716888992, "alpha_c_p6m": null, "bench_spy_p6m": 0.05560407450220173, "bench_c_p6m": null, "price_path": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 0.0806, 0.0029, -0.0671, -0.0497, 0.0297, 0.0, -0.0275, -0.0444, -0.1128, -0.0857, -0.0935, -0.1137, -0.1505, -0.22, -0.2056, -0.166, -0.1375, -0.1457, -0.0775, -0.0528, -0.0672, -0.0961, -0.0932, -0.0954, -0.0868, -0.0946, -0.1531, -0.1533, -0.1659, -0.155, -0.207, -0.1841, -0.2006, -0.226, -0.2191, -0.1978, -0.1747, -0.1909, -0.133, -0.1312, 0.0008, -0.0058, -0.06, -0.0846, -0.1134, -0.1008, -0.1545, -0.171, -0.1094, -0.1131, -0.1296, -0.1265, -0.1105, -0.1039, -0.099, -0.1139, -0.1267, -0.1095, -0.1448, -0.1677, -0.1816, -0.1718, -0.167, -0.184, -0.2272, -0.2444, -0.2642, -0.249, -0.2158, -0.2094, -0.2379, -0.2462, -0.2251, -0.2612, -0.2658, -0.2434, -0.2575, -0.2556, -0.3514, -0.3238, -0.3045, -0.3305, -0.3138, -0.3672, -0.4663, -0.5792, -0.5042, -0.5083, -0.4923, -0.5007, -0.4639, -0.4485, -0.4497, -0.3538, -0.3774, -0.4473, -0.4482, -0.465, -0.4371, -0.463, -0.464, -0.487, -0.4748, -0.4799, -0.4805, -0.4821, -0.476, -0.4437, -0.4474, -0.4244, -0.4416, -0.4322, -0.424, -0.4355, -0.4359, -0.4389, -0.4413, -0.4002, -0.3486, -0.3344, -0.3547, -0.3474, -0.3556, -0.3157, -0.3106, -0.2997, -0.3045, -0.3258, -0.3134, -0.3254, -0.3944, -0.3834]}
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{"unit_id": "orig:605797025704079360", "ticker_idx": 0, "ts": "2015-06-02T18:04:00+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Fintech will be de materialized and demonetize by Bitcoin in the next ten years", "tweet_type": "prediction", "timeline": "years", "summary": "Bullish BTC as it disrupts and displaces traditional fintech over the next decade.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "original", "lang": "en", "tweet_text": "#Fintech will be de materialized and demonetize by #Bitcoin in the next ten years. #xfinance @singularityu", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.012741190244100253, "ret_signed_m1d": -0.012741190244100253, "alpha_spy_m1d": -0.013734737049979295, "alpha_c_m1d": null, "bench_spy_m1d": 0.000993546805879042, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.0003144296021988513, "ret_signed_p1d": 0.0003144296021988513, "alpha_spy_p1d": -0.0023350285468115572, "alpha_c_p1d": null, "bench_spy_p1d": 0.0026494581490104085, "bench_c_p1d": null, "ret_p1w": 0.01437098030338091, "ret_signed_p1w": 0.01437098030338091, "alpha_spy_p1w": 0.028138824310283694, "alpha_c_p1w": null, "bench_spy_p1w": -0.013767844006902785, "bench_c_p1w": null, "ret_p1m": 0.145339120063386, "ret_signed_p1m": 0.145339120063386, "alpha_spy_p1m": 0.1588262923048963, "alpha_c_p1m": null, "bench_spy_p1m": -0.013487172241510303, "bench_c_p1m": null, "ret_p3m": 0.024769389572060208, "ret_signed_p3m": 0.024769389572060208, "alpha_spy_p3m": 0.07733693738953784, "alpha_c_p3m": null, "bench_spy_p3m": -0.05256754781747763, "bench_c_p3m": null, "ret_p6m": 0.4535059441250555, "ret_signed_p6m": 0.4535059441250555, "alpha_spy_p6m": 0.4531666038026423, "alpha_c_p6m": null, "bench_spy_p6m": 0.00033934032241322853, "bench_c_p6m": null, "price_path": [0.2231, 0.2078, 0.2826, 0.2921, 0.3126, 0.3036, 0.2637, 0.2869, 0.2644, 0.1351, 0.1556, 0.1592, 0.1813, 0.0877, 0.0903, 0.1007, 0.094, 0.0962, 0.0816, 0.0951, 0.1205, 0.1263, 0.1315, 0.1212, 0.0851, 0.0792, 0.0455, -0.0054, -0.0294, -0.0087, 0.0123, -0.0129, -0.0052, 0.0419, 0.0371, 0.0472, 0.0242, 0.0154, 0.0002, 0.0, 0.0458, 0.0278, 0.0585, 0.0457, 0.0176, 0.0511, 0.08, 0.0724, 0.0678, 0.0468, 0.0493, 0.0523, 0.0324, 0.0272, 0.0364, 0.0423, 0.0644, 0.0501, 0.0501, 0.0508, 0.0514, 0.05, -0.0127, 0.0, 0.0003, -0.0065, -0.0038, 0.0119, 0.0144, 0.0133, 0.0173, 0.0185, 0.0488, 0.1111, 0.104, 0.1028, 0.0833, 0.0938, 0.0819, 0.0652, 0.0753, 0.0788, 0.1384, 0.1651, 0.1453, 0.1311, 0.1352, 0.1914, 0.1789, 0.1992, 0.1923, 0.2617, 0.2934, 0.2731, 0.2658, 0.2316, 0.2377, 0.2355, 0.2216, 0.2277, 0.2225, 0.2767, 0.3004, 0.3039, 0.2825, 0.2742, 0.2606, 0.2455, 0.2631, 0.2484, 0.2337, 0.2382, 0.1712, 0.1974, 0.1797, 0.1695, 0.1766, 0.1425, -0.0652, 0.0039, 0.0423, 0.03, -0.0678, -0.0186, 0.0001, -0.0046, 0.0248, 0.0188, 0.0103, 0.0154, 0.0061, 0.0199, 0.0622, 0.0788, 0.0548, 0.0561, 0.0633, 0.0214, 0.0199, 0.0146, 0.0177, 0.0318, 0.0057, 0.0213, 0.0198, 0.0386, 0.0414, 0.0591, 0.0482, 0.0454, 0.052, 0.0509, 0.0646, 0.0897, 0.076, 0.0731, 0.0803, 0.0864, 0.105, 0.116, 0.1263, 0.1642, 0.1667, 0.1934, 0.1792, 0.2135, 0.2245, 0.2635, 0.3011, 0.349, 0.39, 0.4527, 0.5996, 0.7866, 0.8227, 0.711, 0.6584, 0.684, 0.4916, 0.3777, 0.4976, 0.4914, 0.4648, 0.484, 0.4818, 0.4444, 0.4261, 0.4307, 0.4174, 0.4535]}
{"unit_id": "orig:748230634129264640", "ticker_idx": 0, "ts": "2016-06-29T19:04:19+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "We like the skepticism", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish Bitcoin; frames skepticism as a contrarian buy signal for the disruptive asset.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "original", "lang": "en", "tweet_text": "#Bitcoin draws skepticism, as disruptive technology typically does. We like the skepticism:\nhttps://t.co/NUGg46bDqy https://t.co/A6qsPnXBm2", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.011112787746765163, "ret_signed_m1d": 0.011112787746765163, "alpha_spy_m1d": 0.027855166553233612, "alpha_c_m1d": null, "bench_spy_m1d": -0.01674237880646845, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.05226985838745257, "ret_signed_p1d": 0.05226985838745257, "alpha_spy_p1d": 0.0386244682110648, "alpha_c_p1d": null, "bench_spy_p1d": 0.013645390176387773, "bench_c_p1d": null, "ret_p1w": 0.05851158503305709, "ret_signed_p1w": 0.05851158503305709, "alpha_spy_p1w": 0.04399496417005189, "alpha_c_p1w": null, "bench_spy_p1w": 0.014516620863005203, "bench_c_p1w": null, "ret_p1m": 0.023668065057109056, "ret_signed_p1m": 0.023668065057109056, "alpha_spy_p1m": -0.025252960219820375, "alpha_c_p1m": null, "bench_spy_p1m": 0.04892102527692943, "bench_c_p1m": null, "ret_p3m": -0.04976946683685679, "ret_signed_p3m": -0.04976946683685679, "alpha_spy_p3m": -0.09168476682180449, "alpha_c_p3m": null, "bench_spy_p3m": 0.041915299984947696, "bench_c_p3m": null, "ret_p6m": 0.351075900914521, "ret_signed_p6m": 0.351075900914521, "alpha_spy_p6m": 0.24852278951777396, "alpha_c_p6m": null, "bench_spy_p6m": 0.10255311139674705, "bench_c_p6m": null, "price_path": [-0.3468, -0.3414, -0.3373, -0.3383, -0.3393, -0.3431, -0.3398, -0.3355, -0.3378, -0.3369, -0.3285, -0.3302, -0.3194, -0.3102, -0.2977, -0.3034, -0.2789, -0.2716, -0.3051, -0.2983, -0.2888, -0.3051, -0.2963, -0.3019, -0.2999, -0.2817, -0.2804, -0.2954, -0.2925, -0.2893, -0.2879, -0.2902, -0.2908, -0.2895, -0.3144, -0.3082, -0.3059, -0.303, -0.2974, -0.2915, -0.2601, -0.1657, -0.1696, -0.1609, -0.1593, -0.1105, -0.0849, -0.0989, -0.091, -0.102, -0.0975, 0.1008, 0.0714, 0.0853, 0.1976, 0.1704, 0.1521, 0.0418, -0.0684, -0.0249, 0.0397, 0.024, 0.0111, 0.0, 0.0523, 0.0569, 0.0684, 0.048, 0.0585, 0.0011, 0.0416, 0.0121, 0.0385, 0.0228, 0.0284, 0.0365, 0.0519, 0.0515, 0.0403, 0.0393, 0.0168, 0.0222, 0.0186, 0.0226, 0.0237, 0.0267, -0.0525, -0.1444, -0.1149, -0.0963, -0.1013, -0.0763, -0.0814, -0.0747, -0.0793, -0.0818, -0.1135, -0.0976, -0.1042, -0.1025, -0.1004, -0.083, -0.0883, -0.0933, -0.0971, -0.0941, -0.1028, -0.0975, -0.1007, -0.1056, -0.1006, -0.052, -0.046, -0.0396, -0.0212, -0.0266, -0.0495, -0.0479, -0.0456, -0.0512, -0.0514, -0.0479, -0.0493, -0.0668, -0.0681, -0.0579, -0.0498, -0.0527, -0.055, -0.0534, -0.0471, -0.0434, -0.0464, -0.0428, -0.042, -0.0356, -0.0327, 0.0018, -0.0058, -0.0049, 0.0008, -0.0011, -0.003, -0.0146, -0.0141, -0.011, 0.0217, 0.0277, 0.06, 0.0757, 0.0778, 0.0955, 0.1405, 0.1577, 0.0763, 0.099, 0.0988, 0.1093, 0.1303, 0.1182, 0.1196, 0.1018, 0.1121, 0.163, 0.158, 0.1746, 0.1553, 0.1742, 0.1636, 0.1569, 0.159, 0.1499, 0.1496, 0.1653, 0.1827, 0.2157, 0.1857, 0.1943, 0.2004, 0.2046, 0.2077, 0.2191, 0.2198, 0.2213, 0.216, 0.2266, 0.2388, 0.2516, 0.3038, 0.3511]}
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{"unit_id": "quote:657223148480270336", "ticker_idx": 0, "ts": "2015-10-22T15:53:03+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Consumer Reports itself says that 97% of those surveyed expect their next car purchase to be a #Tesla. $TSLA.", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Cites 97% Tesla repurchase intent from Consumer Reports as bullish signal for TSLA.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "Consumer Reports itself says that 97% of those surveyed expect their next car purchase to be a #Tesla.  $TSLA.\nhttps://t.co/kACcrLqJAc", "reply_text": null, "parent_text": null, "quoted_text": "Musk responds to Consumer Reports, says survey included early cars and new cars are already fixed. https://t.co/0gABYER9HI", "parent_author": null, "ret_m1d": -0.007698897475125643, "ret_signed_m1d": -0.007698897475125643, "alpha_spy_m1d": 0.008914125662091377, "alpha_c_m1d": 0.005299469826546388, "bench_spy_m1d": -0.01661302313721702, "bench_c_m1d": -0.012998367301672031, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.01242211222596079, "ret_signed_p1d": -0.01242211222596079, "alpha_spy_p1d": -0.02338391878207624, "alpha_c_p1d": -0.0173437256607355, "bench_spy_p1d": 0.01096180655611545, "bench_c_p1d": 0.004921613434774708, "ret_p1w": -0.00042505892278810187, "ret_signed_p1w": -0.00042505892278810187, "alpha_spy_p1w": -0.017817453429622265, "alpha_c_p1w": -0.020112052075898168, "bench_spy_p1w": 0.017392394506834163, "bench_c_p1w": 0.019686993153110066, "ret_p1m": 0.03915541987963622, "ret_signed_p1m": 0.03915541987963622, "alpha_spy_p1m": 0.019424203468405565, "alpha_c_p1m": 0.01404181389481618, "bench_spy_p1m": 0.019731216411230657, "bench_c_p1m": 0.025113605984820042, "ret_p3m": -0.03306257082203934, "ret_signed_p3m": -0.03306257082203934, "alpha_spy_p3m": 0.04528092925701255, "alpha_c_p3m": 0.05746080964672873, "bench_spy_p3m": -0.07834350007905189, "bench_c_p3m": -0.09052338046876807, "ret_p6m": 0.20210649769893196, "ret_signed_p6m": 0.20210649769893196, "alpha_spy_p6m": 0.1785528314462963, "alpha_c_p6m": 0.1906557091943193, "bench_spy_p6m": 0.023553666252635663, "bench_c_p6m": 0.011450788504612675, "price_path": [0.195, 0.2508, 0.2461, 0.2601, 0.2571, 0.228, 0.2577, 0.2759, 0.1625, 0.1454, 0.139, 0.1212, 0.1249, 0.1454, 0.1485, 0.2044, 0.2314, 0.2056, 0.1439, 0.09, 0.0338, 0.0392, 0.062, 0.1477, 0.1736, 0.1764, 0.1271, 0.1699, 0.1599, 0.1427, 0.1427, 0.1722, 0.1757, 0.1736, 0.1819, 0.1959, 0.1977, 0.2387, 0.2378, 0.231, 0.2479, 0.2325, 0.233, 0.2428, 0.2134, 0.1734, 0.165, 0.1732, 0.133, 0.1693, 0.1626, 0.1405, 0.0956, 0.0708, 0.0424, 0.0182, 0.0356, 0.0244, 0.0453, 0.0722, 0.0774, 0.0062, -0.0077, 0.0, -0.0124, 0.0167, -0.0065, 0.0059, -0.0004, -0.0226, 0.0098, -0.0159, 0.094, 0.0947, 0.0975, 0.0643, 0.0226, 0.0348, 0.0058, -0.0214, 0.0122, 0.0108, 0.0442, 0.0476, 0.0392, 0.0285, 0.0308, 0.0846, 0.0846, 0.0939, 0.0876, 0.1203, 0.0957, 0.0991, 0.0881, 0.0917, 0.0708, 0.0605, 0.0725, 0.025, 0.0324, 0.0443, 0.1076, 0.1024, 0.0885, 0.0984, 0.0861, 0.0849, 0.089, 0.089, 0.0814, 0.1203, 0.1246, 0.1336, 0.1336, 0.0552, 0.0553, 0.0346, 0.0186, -0.0034, -0.0183, -0.0083, -0.0539, -0.0262, -0.0318, -0.0318, -0.0331, -0.0615, -0.0555, -0.0433, -0.0725, -0.0858, -0.1117, -0.104, -0.0969, -0.0698, -0.1367, -0.1806, -0.1719, -0.232, -0.301, -0.2998, -0.3214, -0.2893, -0.2866, -0.2866, -0.2671, -0.2033, -0.2123, -0.2132, -0.1605, -0.163, -0.1545, -0.1147, -0.101, -0.0935, -0.1198, -0.1104, -0.0755, -0.0504, -0.0304, -0.0431, -0.0142, -0.0309, -0.0199, 0.0162, 0.0313, 0.0482, 0.0692, 0.0993, 0.1256, 0.1064, 0.0513, 0.0757, 0.0757, 0.0876, 0.087, 0.0717, 0.0853, 0.1222, 0.1666, 0.2066, 0.2536, 0.2148, 0.1811, 0.1804, 0.1705, 0.2022, 0.1896, 0.2021]}
{"unit_id": "quote:688025558287003654", "ticker_idx": 0, "ts": "2016-01-15T15:50:50+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "bitcoin payment makes sense", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Endorses bitcoin adoption by NFLX in 190 countries as currency devaluation hedge; bullish BTC.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Now that $NFLX is in 190 countries, many of which are devaluing their currencies, #bitcoin payment makes sense.\nhttps://t.co/m275MMMh1T", "reply_text": null, "parent_text": null, "quoted_text": "Netflix' CFO suggests bitcoin would be a boon for the video streaming giant https://t.co/eheGjil9ov", "parent_author": null, "ret_m1d": 0.18108535165270911, "ret_signed_m1d": 0.18108535165270911, "alpha_spy_m1d": 0.15914830017375392, "alpha_c_m1d": null, "bench_spy_m1d": 0.021937051478955194, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.0626820281917222, "ret_signed_p1d": 0.0626820281917222, "alpha_spy_p1d": 0.0626820281917222, "alpha_c_p1d": null, "bench_spy_p1d": 0.0, "bench_c_p1d": null, "ret_p1w": 0.04984755911136496, "ret_signed_p1w": 0.04984755911136496, "alpha_spy_p1w": 0.03541779518321797, "alpha_c_p1w": null, "bench_spy_p1w": 0.014429763928146988, "bench_c_p1w": null, "ret_p1m": 0.09841052375704007, "ret_signed_p1m": 0.09841052375704007, "alpha_spy_p1m": 0.10469320671383153, "alpha_c_p1m": null, "bench_spy_p1m": -0.006282682956791463, "bench_c_p1m": null, "ret_p3m": 0.1630468342569915, "ret_signed_p3m": 0.1630468342569915, "alpha_spy_p3m": 0.04983213954015109, "alpha_c_p3m": null, "bench_spy_p3m": 0.11321469471684042, "bench_c_p3m": null, "ret_p6m": 0.7776664842301286, "ret_signed_p6m": 0.7776664842301286, "alpha_spy_p6m": 0.6296118849363237, "alpha_c_p6m": null, "bench_spy_p6m": 0.14805459929380493, "bench_c_p6m": null, "price_path": [-0.2604, -0.2691, -0.2479, -0.2411, -0.2169, -0.1936, -0.1639, -0.1385, -0.0997, -0.0086, 0.1073, 0.1296, 0.0604, 0.0278, 0.0437, -0.0755, -0.1462, -0.0719, -0.0757, -0.0922, -0.0802, -0.0816, -0.1048, -0.1161, -0.1133, -0.1216, -0.0992, -0.032, -0.0173, 0.0357, -0.0051, -0.0141, -0.009, -0.0032, 0.0857, 0.1406, 0.1461, 0.1404, 0.2405, 0.2192, 0.2772, 0.2487, 0.2518, 0.2725, 0.204, 0.1983, 0.2143, 0.2488, 0.2507, 0.1591, 0.1884, 0.171, 0.1818, 0.1921, 0.1887, 0.1856, 0.1778, 0.2572, 0.244, 0.2308, 0.1959, 0.1868, 0.1811, 0.0, 0.0627, 0.0434, 0.1534, 0.1261, 0.0498, 0.0752, 0.0764, 0.0841, 0.0438, 0.0416, 0.0239, 0.0278, 0.0154, 0.0693, 0.061, 0.025, 0.0321, 0.0475, 0.0421, 0.0547, 0.0984, 0.1185, 0.1427, 0.1593, 0.155, 0.2015, 0.1548, 0.1664, 0.1653, 0.1862, 0.2014, 0.1943, 0.1637, 0.1573, 0.1279, 0.1372, 0.1363, 0.1387, 0.1449, 0.1574, 0.143, 0.1441, 0.1446, 0.1545, 0.1241, 0.1344, 0.1476, 0.1474, 0.1429, 0.145, 0.1644, 0.1432, 0.1386, 0.1438, 0.1472, 0.1568, 0.1639, 0.1622, 0.1603, 0.1538, 0.1596, 0.167, 0.163, 0.1646, 0.1795, 0.1764, 0.1954, 0.2115, 0.2336, 0.2234, 0.2665, 0.2793, 0.2206, 0.2324, 0.2491, 0.2205, 0.236, 0.2261, 0.2296, 0.2615, 0.2639, 0.2376, 0.2426, 0.2482, 0.2507, 0.2466, 0.2455, 0.2478, 0.2042, 0.215, 0.2191, 0.2241, 0.234, 0.2444, 0.2995, 0.4653, 0.4585, 0.4737, 0.4766, 0.5623, 0.6072, 0.5826, 0.5965, 0.5772, 0.585, 0.9333, 0.8817, 0.9061, 1.1033, 1.0556, 1.0235, 0.8298, 0.6362, 0.7127, 0.8261, 0.7986, 0.7759, 0.7563, 0.8481, 0.8563, 0.8765, 0.8407, 0.8591, 0.7582, 0.8294, 0.7777]}
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{"unit_id": "orig:727567404797198339", "ticker_idx": 0, "ts": "2016-05-03T18:36:01+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "will we wish we had more #bitcoin", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Endorses bullish view that bitcoin holdings will prove insufficient; implied long BTC.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "original", "lang": "en", "tweet_text": "Yes. \"@ARKwebx0 RT @ARKblockchain: At #Consensus2026 will we wish we had more #bitcoin? https://t.co/g42lUwj2on \" https://t.co/BImzVxyrhO", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.012513722792376392, "ret_signed_m1d": -0.012513722792376392, "alpha_spy_m1d": -0.02129309736038154, "alpha_c_m1d": null, "bench_spy_m1d": 0.00877937456800515, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.007954628089030247, "ret_signed_p1d": -0.007954628089030247, "alpha_spy_p1d": -0.002376132503894568, "alpha_c_p1d": null, "bench_spy_p1d": -0.005578495585135679, "bench_c_p1d": null, "ret_p1w": 0.0013124543350131468, "ret_signed_p1w": 0.0013124543350131468, "alpha_spy_p1w": -0.009795402445558876, "alpha_c_p1w": null, "bench_spy_p1w": 0.011107856780572023, "bench_c_p1w": null, "ret_p1m": 0.19235005703951202, "ret_signed_p1m": 0.19235005703951202, "alpha_spy_p1m": 0.17241386553666005, "alpha_c_p1m": null, "bench_spy_p1m": 0.019936191502851974, "bench_c_p1m": null, "ret_p3m": 0.45899664540033425, "ret_signed_p3m": 0.45899664540033425, "alpha_spy_p3m": 0.4003574519430835, "alpha_c_p3m": null, "bench_spy_p3m": 0.05863919345725077, "bench_c_p3m": null, "ret_p6m": 0.5063247002265789, "ret_signed_p6m": 0.5063247002265789, "alpha_spy_p6m": 0.45890138951306914, "alpha_c_p6m": null, "bench_spy_p6m": 0.0474233107135098, "bench_c_p6m": null, "price_path": [-0.1348, -0.1416, -0.1707, -0.1649, -0.1525, -0.1569, -0.1467, -0.1113, -0.0951, -0.0755, -0.062, -0.0656, -0.0279, -0.0657, -0.0563, -0.0572, -0.0403, -0.028, -0.0337, -0.0584, -0.0636, -0.0874, -0.0799, -0.0807, -0.0787, -0.0737, -0.0635, -0.0752, -0.0743, -0.0739, -0.0659, -0.0905, -0.0822, -0.0715, -0.0716, -0.0753, -0.0736, -0.0579, -0.075, -0.0788, -0.0746, -0.0718, -0.0641, -0.0583, -0.0597, -0.0612, -0.0665, -0.0618, -0.0558, -0.059, -0.0578, -0.0457, -0.0482, -0.0329, -0.0198, -0.002, -0.0101, 0.0247, 0.0351, -0.0125, -0.0029, 0.0106, -0.0125, 0.0, -0.008, -0.0052, 0.0207, 0.0226, 0.0013, 0.0054, 0.0099, 0.0119, 0.0086, 0.0077, 0.0096, -0.0257, -0.0169, -0.0137, -0.0096, -0.0016, 0.0068, 0.0514, 0.1856, 0.1801, 0.1924, 0.1947, 0.264, 0.3003, 0.2805, 0.2917, 0.2761, 0.2824, 0.5642, 0.5224, 0.5422, 0.7018, 0.6631, 0.6372, 0.4804, 0.3238, 0.3857, 0.4774, 0.4552, 0.4368, 0.421, 0.4953, 0.5019, 0.5182, 0.4893, 0.5042, 0.4225, 0.4802, 0.4383, 0.4758, 0.4534, 0.4614, 0.4729, 0.4948, 0.4942, 0.4783, 0.4768, 0.4448, 0.4526, 0.4474, 0.4531, 0.4547, 0.459, 0.3464, 0.2158, 0.2577, 0.2842, 0.277, 0.3126, 0.3053, 0.3149, 0.3083, 0.3048, 0.2597, 0.2823, 0.273, 0.2754, 0.2783, 0.303, 0.2956, 0.2884, 0.283, 0.2872, 0.2749, 0.2825, 0.278, 0.2709, 0.2781, 0.3471, 0.3556, 0.3647, 0.3909, 0.3832, 0.3507, 0.353, 0.3562, 0.3483, 0.3479, 0.3529, 0.3509, 0.3261, 0.3242, 0.3387, 0.3503, 0.3461, 0.3429, 0.3451, 0.3541, 0.3594, 0.3551, 0.3602, 0.3613, 0.3705, 0.3746, 0.4236, 0.4128, 0.4141, 0.4221, 0.4195, 0.4167, 0.4002, 0.401, 0.4053, 0.4518, 0.4603, 0.5063]}
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{"unit_id": "quote:618181928055799808", "ticker_idx": 0, "ts": "2015-07-06T22:17:11+00:00", "symbol": "SSYS", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "MakerBot's extrusion issues must be behind it: it is ramping up distribution to all of Sam's Clubs. $SSYS", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish SSYS: MakerBot past its extrusion problems and now scaling distribution to all Sam's Club locations.", "resolved_tickers": ["SSYS"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLK", "bench_c_reason": "industry='Computer Hardware'", "bench_c_industry": "Computer Hardware", "unit_kind": "quote", "lang": "en", "tweet_text": "MakerBot's extrusion issues must be behind it:  it is ramping up distribution to all of Sam's Clubs. $SSYS\nhttps://t.co/0HsGdeNDKT", "reply_text": null, "parent_text": null, "quoted_text": "It's a full #3Dprinting rollout. http://t.co/sVhG4LHiSp $SSYS #Makerbot now in all @SamsClub locations.", "parent_author": null, "ret_m1d": 0.015276158747882906, "ret_signed_m1d": 0.015276158747882906, "alpha_spy_m1d": 0.012422453779437292, "alpha_c_m1d": 0.011186575987478298, "bench_spy_m1d": 0.002853704968445614, "bench_c_m1d": 0.004089582760404609, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.013219763538084628, "ret_signed_p1d": 0.013219763538084628, "alpha_spy_p1d": 0.006931298436805289, "alpha_c_p1d": 0.01177652794965156, "bench_spy_p1d": 0.006288465101279339, "bench_c_p1d": 0.0014432355884330672, "ret_p1w": -0.007050577908689792, "ret_signed_p1w": -0.007050577908689792, "alpha_spy_p1w": -0.021804610546328762, "alpha_c_p1w": -0.019078786925164515, "bench_spy_p1w": 0.01475403263763897, "bench_c_p1w": 0.012028209016474722, "ret_p1m": -0.16568746020286929, "ret_signed_p1m": -0.16568746020286929, "alpha_spy_p1m": -0.17855482968136616, "alpha_c_p1m": -0.17843697556867744, "bench_spy_p1m": 0.01286736947849687, "bench_c_p1m": 0.01274951536580815, "ret_p3m": -0.24794360479020172, "ret_signed_p3m": -0.24794360479020172, "alpha_spy_p3m": -0.18219668310213222, "alpha_c_p3m": -0.20291573410668506, "bench_spy_p3m": -0.0657469216880695, "bench_c_p3m": -0.04502787068351666, "ret_p6m": -0.2711516216609353, "ret_signed_p6m": -0.2711516216609353, "alpha_spy_p6m": -0.2856585733943253, "alpha_c_p6m": -0.3351058940774143, "bench_spy_p6m": 0.014506951733390006, "bench_c_p6m": 0.063954272416479, "price_path": [0.6642, 0.668, 0.6763, 0.6733, 0.7056, 0.8046, 0.7039, 0.6331, 0.656, 0.5696, 0.5746, 0.6031, 0.5065, 0.4462, 0.5071, 0.173, 0.1002, 0.0784, 0.1078, 0.0855, 0.0661, 0.0273, 0.0379, 0.0441, 0.0247, 0.0303, 0.0182, 0.0217, 0.0358, 0.0482, 0.0273, 0.0961, 0.0649, 0.0649, 0.0517, 0.0526, 0.0699, 0.0447, 0.0376, 0.0391, 0.0523, 0.0473, 0.116, 0.0887, 0.0887, 0.089, 0.064, 0.0379, 0.0391, 0.0546, 0.0873, 0.099, 0.0864, 0.1157, 0.1437, 0.1087, 0.1028, 0.077, 0.0517, 0.0261, 0.0085, 0.0153, 0.0153, 0.0, 0.0132, -0.0003, -0.0579, -0.0288, -0.0071, 0.0173, -0.0082, 0.0047, -0.0132, -0.0764, -0.015, -0.0344, -0.012, 0.0126, 0.0608, 0.1084, 0.072, -0.0402, -0.0972, -0.1495, -0.1657, -0.1774, -0.1008, -0.126, -0.0417, -0.0793, -0.0684, -0.0805, -0.0773, -0.0984, -0.1257, -0.1672, -0.2033, -0.1695, -0.1807, -0.2115, -0.1874, -0.1419, -0.1181, -0.0993, -0.151, -0.1348, -0.1504, -0.166, -0.166, -0.1313, -0.1545, -0.1507, -0.1495, -0.1134, -0.1257, -0.1269, -0.1219, -0.1528, -0.1531, -0.1005, -0.1434, -0.1266, -0.1528, -0.1528, -0.2312, -0.2218, -0.2479, -0.2186, -0.1672, -0.1287, -0.111, -0.0632, -0.0629, -0.0946, -0.0896, -0.0978, -0.0893, -0.0911, -0.1275, -0.1043, -0.1387, -0.0931, -0.1871, -0.2241, -0.2468, -0.2159, -0.2324, -0.2509, -0.2118, -0.2004, -0.1578, -0.1971, -0.1895, -0.2147, -0.2571, -0.2958, -0.3135, -0.3284, -0.3246, -0.3367, -0.3123, -0.3205, -0.322, -0.3014, -0.3023, -0.2603, -0.2603, -0.2838, -0.2656, -0.2753, -0.2659, -0.262, -0.2629, -0.2794, -0.2729, -0.2682, -0.2485, -0.2873, -0.309, -0.277, -0.2691, -0.2406, -0.2415, -0.2659, -0.2503, -0.2133, -0.213, -0.213, -0.2603, -0.2712]}
{"unit_id": "quote:636909223368986624", "ticker_idx": 0, "ts": "2015-08-27T14:32:46+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "#TheMotleyFool missed $TSLA, $AMBA, and $NVDA in this article.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Author flags TSLA, AMBA, and NVDA as overlooked beneficiaries of autonomous cars, implying bullish stance on all three.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "#TheMotleyFool missed $TSLA, $AMBA, and $NVDA in this article.\nhttps://t.co/NOeiqSvZQZ", "reply_text": null, "parent_text": null, "quoted_text": "Who will benefit from #autonomous cars? http://t.co/IjUMHUeVKQ Based on last earnings call we'd add $TSLA to the list.", "parent_author": null, "ret_m1d": -0.07469443488114369, "ret_signed_m1d": -0.07469443488114369, "alpha_spy_m1d": -0.05055634021625133, "alpha_c_m1d": -0.05178970563071916, "bench_spy_m1d": -0.024138094664892362, "bench_c_m1d": -0.022904729250424527, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.022593474526899193, "ret_signed_p1d": 0.022593474526899193, "alpha_spy_p1d": 0.02254327347535212, "alpha_c_p1d": 0.022195958282015482, "bench_spy_p1d": 5.0201051547071884e-05, "bench_c_p1d": 0.00039751624488371107, "ret_p1w": 0.010617657877273867, "ret_signed_p1w": 0.010617657877273867, "alpha_spy_p1w": 0.029285670078694426, "alpha_c_p1w": 0.022268439799339346, "bench_spy_p1w": -0.01866801220142056, "bench_c_p1w": -0.011650781922065478, "ret_p1m": 0.05728627749815263, "ret_signed_p1m": 0.05728627749815263, "alpha_spy_p1m": 0.08447225388936763, "alpha_c_p1m": 0.06454733944706603, "bench_spy_p1m": -0.027185976391215005, "bench_c_p1m": -0.007261061948913405, "ret_p3m": -0.10181486983104904, "ret_signed_p3m": -0.10181486983104904, "alpha_spy_p3m": -0.15786159565067748, "alpha_c_p3m": -0.18306280499602456, "bench_spy_p3m": 0.05604672581962844, "bench_c_p3m": 0.08124793516497553, "ret_p6m": -0.31445737936465246, "ret_signed_p6m": -0.31445737936465246, "alpha_spy_p6m": -0.2887477536061631, "alpha_c_p6m": -0.28514671956721194, "bench_spy_p6m": -0.02570962575848934, "bench_c_p6m": -0.02931065979744052, "price_path": [0.0266, 0.0221, 0.0247, 0.0121, 0.0253, 0.0547, 0.0535, 0.0317, 0.0347, 0.0317, 0.0304, 0.0417, 0.0717, 0.0778, 0.0803, 0.0691, 0.1016, 0.0913, 0.1062, 0.0992, 0.0783, 0.104, 0.1077, 0.1524, 0.1524, 0.1512, 0.1024, 0.0493, 0.0614, 0.0665, 0.0789, 0.0933, 0.0829, 0.0975, 0.1303, 0.1616, 0.0979, 0.1024, 0.0996, 0.0923, 0.0412, 0.0898, 0.0857, 0.0979, 0.0953, 0.07, 0.0958, 0.1117, 0.0129, -0.002, -0.0076, -0.0231, -0.0198, -0.002, 0.0007, 0.0494, 0.073, 0.0505, -0.0033, -0.0503, -0.0993, -0.0945, -0.0747, 0.0, 0.0226, 0.025, -0.0179, 0.0193, 0.0106, -0.0044, -0.0044, 0.0213, 0.0244, 0.0226, 0.0298, 0.042, 0.0435, 0.0793, 0.0785, 0.0726, 0.0873, 0.0739, 0.0744, 0.0828, 0.0573, 0.0224, 0.0151, 0.0223, -0.0128, 0.0188, 0.013, -0.0063, -0.0454, -0.067, -0.0918, -0.1128, -0.0977, -0.1075, -0.0892, -0.0658, -0.0613, -0.1233, -0.1354, -0.1287, -0.1395, -0.1141, -0.1343, -0.1236, -0.1291, -0.1484, -0.1202, -0.1426, -0.0468, -0.0462, -0.0437, -0.0727, -0.109, -0.0984, -0.1237, -0.1473, -0.118, -0.1193, -0.0902, -0.0872, -0.0946, -0.1039, -0.1018, -0.0549, -0.0549, -0.0468, -0.0524, -0.0239, -0.0453, -0.0423, -0.0519, -0.0488, -0.067, -0.076, -0.0655, -0.1069, -0.1005, -0.0901, -0.0349, -0.0395, -0.0516, -0.0429, -0.0537, -0.0547, -0.0511, -0.0511, -0.0578, -0.0239, -0.0202, -0.0123, -0.0123, -0.0806, -0.0805, -0.0986, -0.1125, -0.1317, -0.1446, -0.1359, -0.1756, -0.1515, -0.1564, -0.1564, -0.1575, -0.1823, -0.177, -0.1664, -0.1918, -0.2034, -0.226, -0.2193, -0.2131, -0.1895, -0.2478, -0.2861, -0.2784, -0.3308, -0.391, -0.3899, -0.4087, -0.3808, -0.3784, -0.3784, -0.3614, -0.3058, -0.3137, -0.3145]}
{"unit_id": "quote:636909223368986624", "ticker_idx": 1, "ts": "2015-08-27T14:32:46+00:00", "symbol": "AMBA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "#TheMotleyFool missed $TSLA, $AMBA, and $NVDA in this article.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Author flags TSLA, AMBA, and NVDA as overlooked beneficiaries of autonomous cars, implying bullish stance on all three.", "resolved_tickers": ["AMBA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SMH", "bench_c_reason": "industry='Semiconductor Equipment & Materials'", "bench_c_industry": "Semiconductor Equipment & Materials", "unit_kind": "quote", "lang": "en", "tweet_text": "#TheMotleyFool missed $TSLA, $AMBA, and $NVDA in this article.\nhttps://t.co/NOeiqSvZQZ", "reply_text": null, "parent_text": null, "quoted_text": "Who will benefit from #autonomous cars? http://t.co/IjUMHUeVKQ Based on last earnings call we'd add $TSLA to the list.", "parent_author": null, "ret_m1d": -0.014974681952449553, "ret_signed_m1d": -0.014974681952449553, "alpha_spy_m1d": 0.009163412712442809, "alpha_c_m1d": 0.01725074027112916, "bench_spy_m1d": -0.024138094664892362, "bench_c_m1d": -0.032225422223578715, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.060449216936987016, "ret_signed_p1d": 0.060449216936987016, "alpha_spy_p1d": 0.060399015885439944, "alpha_c_p1d": 0.05193711120294564, "bench_spy_p1d": 5.0201051547071884e-05, "bench_c_p1d": 0.008512105734041375, "ret_p1w": -0.1945606499484751, "ret_signed_p1w": -0.1945606499484751, "alpha_spy_p1w": -0.17589263774705455, "alpha_c_p1w": -0.20165417255571305, "bench_spy_p1w": -0.01866801220142056, "bench_c_p1w": 0.007093522607237945, "ret_p1m": -0.3574102531771153, "ret_signed_p1m": -0.3574102531771153, "alpha_spy_p1m": -0.3302242767859003, "alpha_c_p1m": -0.34991127245857345, "bench_spy_p1m": -0.027185976391215005, "bench_c_p1m": -0.007498980718541826, "ret_p3m": -0.37987227610578966, "ret_signed_p3m": -0.37987227610578966, "alpha_spy_p3m": -0.4359190019254181, "alpha_c_p3m": -0.48931700486419827, "bench_spy_p3m": 0.05604672581962844, "bench_c_p3m": 0.1094447287584086, "ret_p6m": -0.5310504261649422, "ret_signed_p6m": -0.5310504261649422, "alpha_spy_p6m": -0.5053408004064529, "alpha_c_p6m": -0.5488083815461673, "bench_spy_p6m": -0.02570962575848934, "bench_c_p6m": 0.017757955381225043, "price_path": [0.0407, 0.0153, 0.0533, 0.1052, 0.1377, 0.1974, 0.2557, 0.2436, 0.2277, 0.301, 0.2937, 0.2976, 0.3458, 0.3951, 0.3141, 0.039, 0.1264, 0.1187, 0.1532, 0.1184, 0.11, 0.1307, 0.1218, 0.1144, 0.1144, 0.1221, 0.1105, 0.073, 0.0653, 0.0968, 0.0917, 0.1834, 0.1695, 0.191, 0.2235, 0.2962, 0.3013, 0.3488, 0.3542, 0.3679, 0.3152, 0.3131, 0.2962, 0.275, 0.2758, 0.2453, 0.2624, 0.2668, 0.2473, 0.266, 0.3016, 0.2436, 0.2117, 0.2019, 0.196, 0.1971, 0.1597, 0.1522, 0.0685, -0.0117, -0.0357, -0.0421, -0.015, 0.0, 0.0604, 0.053, -0.0133, -0.0973, -0.1946, -0.1936, -0.1936, -0.1976, -0.2461, -0.2272, -0.2908, -0.2641, -0.2143, -0.2202, -0.1887, -0.2132, -0.2629, -0.2645, -0.3108, -0.2964, -0.3574, -0.394, -0.3875, -0.3637, -0.3621, -0.3512, -0.3365, -0.3207, -0.3194, -0.3816, -0.3705, -0.3671, -0.3793, -0.3879, -0.3697, -0.3791, -0.3694, -0.3744, -0.4096, -0.4274, -0.4138, -0.4256, -0.4031, -0.3779, -0.4453, -0.4556, -0.4292, -0.3728, -0.3722, -0.3968, -0.402, -0.3734, -0.3765, -0.3906, -0.4231, -0.4456, -0.4401, -0.4191, -0.4118, -0.3946, -0.3562, -0.3961, -0.3799, -0.3584, -0.3584, -0.3562, -0.3084, -0.3425, -0.3343, -0.3627, -0.3732, -0.3994, -0.3782, -0.3835, -0.3504, -0.3654, -0.3798, -0.3664, -0.374, -0.3769, -0.3661, -0.3556, -0.3648, -0.3434, -0.355, -0.355, -0.3571, -0.364, -0.3765, -0.3863, -0.3863, -0.4039, -0.3991, -0.3899, -0.4457, -0.5045, -0.5313, -0.51, -0.509, -0.5383, -0.5645, -0.5645, -0.5918, -0.5669, -0.589, -0.5793, -0.5917, -0.5902, -0.5989, -0.5881, -0.5631, -0.5794, -0.5941, -0.5879, -0.5667, -0.5879, -0.6142, -0.6186, -0.5987, -0.6003, -0.5698, -0.5698, -0.5405, -0.5283, -0.5327, -0.5311]}
{"unit_id": "quote:636909223368986624", "ticker_idx": 2, "ts": "2015-08-27T14:32:46+00:00", "symbol": "NVDA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "#TheMotleyFool missed $TSLA, $AMBA, and $NVDA in this article.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Author flags TSLA, AMBA, and NVDA as overlooked beneficiaries of autonomous cars, implying bullish stance on all three.", "resolved_tickers": ["NVDA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SMH", "bench_c_reason": "industry='Semiconductors'", "bench_c_industry": "Semiconductors", "unit_kind": "quote", "lang": "en", "tweet_text": "#TheMotleyFool missed $TSLA, $AMBA, and $NVDA in this article.\nhttps://t.co/NOeiqSvZQZ", "reply_text": null, "parent_text": null, "quoted_text": "Who will benefit from #autonomous cars? http://t.co/IjUMHUeVKQ Based on last earnings call we'd add $TSLA to the list.", "parent_author": null, "ret_m1d": -0.03623530712498757, "ret_signed_m1d": -0.03623530712498757, "alpha_spy_m1d": -0.012097212460095208, "alpha_c_m1d": -0.0040098849014088556, "bench_spy_m1d": -0.024138094664892362, "bench_c_m1d": -0.032225422223578715, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.004418810348640001, "ret_signed_p1d": 0.004418810348640001, "alpha_spy_p1d": 0.004368609297092929, "alpha_c_p1d": -0.004093295385401374, "bench_spy_p1d": 5.0201051547071884e-05, "bench_c_p1d": 0.008512105734041375, "ret_p1w": -0.01590830258542575, "ret_signed_p1w": -0.01590830258542575, "alpha_spy_p1w": 0.00275970961599481, "alpha_c_p1w": -0.023001825192663694, "bench_spy_p1w": -0.01866801220142056, "bench_c_p1w": 0.007093522607237945, "ret_p1m": 0.04330512185710145, "ret_signed_p1m": 0.04330512185710145, "alpha_spy_p1m": 0.07049109824831645, "alpha_c_p1m": 0.05080410257564327, "bench_spy_p1m": -0.027185976391215005, "bench_c_p1m": -0.007498980718541826, "ret_p3m": 0.3826049583981894, "ret_signed_p3m": 0.3826049583981894, "alpha_spy_p3m": 0.326558232578561, "alpha_c_p3m": 0.2731602296397808, "bench_spy_p3m": 0.05604672581962844, "bench_c_p3m": 0.1094447287584086, "ret_p6m": 0.3502247018067195, "ret_signed_p6m": 0.3502247018067195, "alpha_spy_p6m": 0.37593432756520884, "alpha_c_p6m": 0.33246674642549445, "bench_spy_p6m": -0.02570962575848934, "bench_c_p6m": 0.017757955381225043, "price_path": [-0.0152, -0.0346, -0.0451, -0.028, -0.0205, -0.0429, -0.0381, -0.0552, -0.0451, -0.0711, -0.0728, -0.0614, -0.0504, -0.0346, -0.0376, -0.0416, -0.0662, -0.0755, -0.0684, -0.0874, -0.1146, -0.1151, -0.1023, -0.1014, -0.1014, -0.1124, -0.1292, -0.1353, -0.1459, -0.1309, -0.1252, -0.1248, -0.1309, -0.1116, -0.1168, -0.1331, -0.1292, -0.1459, -0.1353, -0.1454, -0.1503, -0.1318, -0.1212, -0.119, -0.1221, -0.1072, -0.1036, -0.0944, -0.1001, 0.0112, 0.0464, 0.0411, 0.0438, 0.035, 0.0359, 0.0293, 0.0199, 0.0159, -0.0208, -0.0513, -0.0848, -0.1038, -0.0362, 0.0, 0.0044, -0.0066, -0.0473, -0.0186, -0.0159, -0.0389, -0.0389, 0.0022, -0.0177, -0.0022, 0.0009, 0.0027, 0.0137, 0.0208, 0.03, 0.0292, 0.0398, 0.0115, 0.0163, 0.0358, 0.0433, 0.0296, 0.0477, 0.0893, 0.0681, 0.0959, 0.1233, 0.1379, 0.1498, 0.1564, 0.152, 0.1644, 0.1666, 0.209, 0.2121, 0.2311, 0.2289, 0.2271, 0.2112, 0.255, 0.2634, 0.2576, 0.2567, 0.2669, 0.2232, 0.2536, 0.2682, 0.2594, 0.2386, 0.2245, 0.3942, 0.388, 0.3615, 0.3482, 0.3433, 0.3168, 0.3433, 0.3433, 0.3764, 0.3804, 0.3924, 0.3715, 0.3826, 0.3808, 0.3808, 0.3924, 0.407, 0.4527, 0.4416, 0.4385, 0.497, 0.4687, 0.4886, 0.4509, 0.4629, 0.4412, 0.4447, 0.4624, 0.4713, 0.4491, 0.4256, 0.4593, 0.4607, 0.4664, 0.4713, 0.4713, 0.47, 0.4939, 0.4811, 0.462, 0.462, 0.4358, 0.4589, 0.3986, 0.3431, 0.3143, 0.3165, 0.3387, 0.2979, 0.2717, 0.2025, 0.2025, 0.2123, 0.2189, 0.2331, 0.262, 0.2606, 0.273, 0.258, 0.2442, 0.2992, 0.2997, 0.2447, 0.2509, 0.2513, 0.1724, 0.1187, 0.1307, 0.128, 0.1222, 0.1413, 0.1413, 0.1972, 0.2269, 0.3325, 0.3502]}
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{"unit_id": "quote:619491909661167616", "ticker_idx": 0, "ts": "2015-07-10T13:02:35+00:00", "symbol": "SSYS", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$SSYS is not going to lose 80% of its market share!", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish SSYS; current price unfairly discounts a catastrophic market-share loss that won't happen.", "resolved_tickers": ["SSYS"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLK", "bench_c_reason": "industry='Computer Hardware'", "bench_c_industry": "Computer Hardware", "unit_kind": "quote", "lang": "en", "tweet_text": "Although the stock seems to be discounting it, $SSYS is not going to lose 80% of its market share!\nhttps://t.co/JDrDzZTtxy", "reply_text": null, "parent_text": null, "quoted_text": "$SSYS is trading at a severe discount. http://t.co/bRlARq0KHy Does it make sense? Check out our research.", "parent_author": null, "ret_m1d": -0.02994560306541949, "ret_signed_m1d": -0.02994560306541949, "alpha_spy_m1d": -0.01751098861105338, "alpha_c_m1d": -0.014259944414594439, "bench_spy_m1d": -0.01243461445436611, "bench_c_m1d": -0.01568565865082505, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.02238347952300357, "ret_signed_p1d": 0.02238347952300357, "alpha_spy_p1d": 0.01134594454872584, "alpha_c_p1d": 0.007180720879905733, "bench_spy_p1d": 0.01103753497427773, "bench_c_p1d": 0.015202758643097836, "ret_p1w": 0.016031420365428595, "ret_signed_p1w": 0.016031420365428595, "alpha_spy_p1w": -0.008067606781939851, "alpha_c_p1w": -0.03223098314569284, "bench_spy_p1w": 0.024099027147368446, "bench_c_p1w": 0.04826240351112143, "ret_p1m": -0.013309208201114142, "ret_signed_p1m": -0.013309208201114142, "alpha_spy_p1m": -0.028202503055446693, "alpha_c_p1m": -0.04564486754968122, "bench_spy_p1m": 0.01489329485433255, "bench_c_p1m": 0.03233565934856708, "ret_p3m": -0.08469452595580607, "ret_signed_p3m": -0.08469452595580607, "alpha_spy_p3m": -0.0507960583264957, "alpha_c_p3m": -0.08120404513652768, "bench_spy_p3m": -0.03389846762931037, "bench_c_p3m": -0.0034904808192783854, "ret_p6m": -0.257410822224153, "ret_signed_p6m": -0.257410822224153, "alpha_spy_p6m": -0.23710851847273196, "alpha_c_p6m": -0.2871852474148501, "bench_spy_p6m": -0.020302303751421058, "bench_c_p6m": 0.029774425190697063, "price_path": [0.7562, 0.8581, 0.7544, 0.6815, 0.7051, 0.6162, 0.6213, 0.6506, 0.5511, 0.4891, 0.5517, 0.2078, 0.1328, 0.1104, 0.1407, 0.1177, 0.0977, 0.0578, 0.0687, 0.075, 0.0551, 0.0608, 0.0484, 0.052, 0.0665, 0.0792, 0.0578, 0.1286, 0.0965, 0.0965, 0.0829, 0.0838, 0.1016, 0.0756, 0.0684, 0.0699, 0.0835, 0.0783, 0.1491, 0.121, 0.121, 0.1213, 0.0956, 0.0687, 0.0699, 0.0859, 0.1195, 0.1316, 0.1186, 0.1488, 0.1776, 0.1416, 0.1355, 0.1089, 0.0829, 0.0566, 0.0384, 0.0454, 0.0454, 0.0296, 0.0433, 0.0293, -0.0299, 0.0, 0.0224, 0.0475, 0.0212, 0.0345, 0.016, -0.049, 0.0142, -0.0057, 0.0172, 0.0426, 0.0923, 0.1413, 0.1038, -0.0118, -0.0705, -0.1243, -0.141, -0.1531, -0.0741, -0.1001, -0.0133, -0.052, -0.0408, -0.0532, -0.0499, -0.0717, -0.0998, -0.1425, -0.1797, -0.1449, -0.1564, -0.1881, -0.1633, -0.1165, -0.092, -0.0726, -0.1258, -0.1092, -0.1252, -0.1413, -0.1413, -0.1056, -0.1295, -0.1255, -0.1243, -0.0871, -0.0998, -0.101, -0.0959, -0.1276, -0.1279, -0.0738, -0.118, -0.1007, -0.1276, -0.1276, -0.2084, -0.1987, -0.2257, -0.1954, -0.1425, -0.1028, -0.0847, -0.0354, -0.0351, -0.0678, -0.0626, -0.0711, -0.0623, -0.0641, -0.1016, -0.0777, -0.1131, -0.0662, -0.163, -0.2011, -0.2244, -0.1927, -0.2096, -0.2287, -0.1884, -0.1766, -0.1328, -0.1733, -0.1655, -0.1915, -0.235, -0.275, -0.2931, -0.3085, -0.3046, -0.317, -0.2919, -0.3004, -0.3019, -0.2807, -0.2816, -0.2384, -0.2384, -0.2626, -0.2438, -0.2538, -0.2441, -0.2402, -0.2411, -0.258, -0.2514, -0.2465, -0.2263, -0.2662, -0.2886, -0.2556, -0.2474, -0.2181, -0.219, -0.2441, -0.2281, -0.19, -0.1897, -0.1897, -0.2384, -0.2495, -0.2747, -0.2898, -0.2898, -0.2574]}
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{"unit_id": "quote:651409434183254016", "ticker_idx": 0, "ts": "2015-10-06T14:51:26+00:00", "symbol": "ILMN", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "the #sequencing market for human #genomes is dwarfed by that for non human organisms $ILMN", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish ILMN: non-human sequencing market vastly larger than human genome market, expanding addressable opportunity.", "resolved_tickers": ["ILMN"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLV", "bench_c_reason": "industry='Diagnostics & Research'", "bench_c_industry": "Diagnostics & Research", "unit_kind": "quote", "lang": "en", "tweet_text": "Yes, big news...the #sequencing market for human #genomes is dwarfed by that for non human organisms $ILMN.\nhttps://t.co/PDs6HPMDcN", "reply_text": null, "parent_text": null, "quoted_text": "$ILMN expands use of HiSeq X to include non-human species: http://t.co/hlRs7xi14s This is important news for science.", "parent_author": null, "ret_m1d": 0.11905906592298288, "ret_signed_m1d": 0.11905906592298288, "alpha_spy_m1d": 0.11562120356583572, "alpha_c_m1d": 0.09497898031734375, "bench_spy_m1d": 0.003437862357147159, "bench_c_m1d": 0.024080085605639123, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0008916114402957032, "ret_signed_p1d": 0.0008916114402957032, "alpha_spy_p1d": -0.007299008630051729, "alpha_c_p1d": -0.01511201403761575, "bench_spy_p1d": 0.008190620070347432, "bench_c_p1d": 0.016003625477911454, "ret_p1w": -0.002606091595217408, "ret_signed_p1w": -0.002606091595217408, "alpha_spy_p1w": -0.015043839274318294, "alpha_c_p1w": -0.016067084987853142, "bench_spy_p1w": 0.012437747679100886, "bench_c_p1w": 0.013460993392635734, "ret_p1m": 0.0908717513548718, "ret_signed_p1m": 0.0908717513548718, "alpha_spy_p1m": 0.02731945518178569, "alpha_c_p1m": 0.009806793720407825, "bench_spy_p1m": 0.06355229617308611, "bench_c_p1m": 0.08106495763446397, "ret_p3m": 0.3164392257826316, "ret_signed_p3m": 0.3164392257826316, "alpha_spy_p3m": 0.2795651381456503, "alpha_c_p3m": 0.23454964724443883, "bench_spy_p3m": 0.0368740876369813, "bench_c_p3m": 0.08188957853819279, "ret_p6m": 0.07969282867064376, "ret_signed_p6m": 0.07969282867064376, "alpha_spy_p6m": 0.026479552570439102, "alpha_c_p6m": 0.05482087595407337, "bench_spy_p6m": 0.053213276100204654, "bench_c_p6m": 0.02487195271657039, "price_path": [0.4894, 0.505, 0.5189, 0.5723, 0.5711, 0.5833, 0.6443, 0.6461, 0.6291, 0.4916, 0.5084, 0.5164, 0.4901, 0.4939, 0.4895, 0.5011, 0.504, 0.4862, 0.4698, 0.4804, 0.4379, 0.4437, 0.4524, 0.4306, 0.4221, 0.4323, 0.427, 0.4259, 0.4197, 0.4104, 0.3746, 0.3713, 0.3152, 0.3006, 0.3422, 0.385, 0.3833, 0.3553, 0.3245, 0.3587, 0.3404, 0.3247, 0.3247, 0.3608, 0.3493, 0.3713, 0.4156, 0.4129, 0.4108, 0.4079, 0.4406, 0.4325, 0.373, 0.3243, 0.3026, 0.2913, 0.2039, 0.1488, 0.1647, 0.2058, 0.0782, 0.1221, 0.1191, 0.0, 0.0009, -0.0373, 0.0134, 0.0054, -0.0026, -0.0087, 0.0414, 0.0302, 0.0115, -0.0049, -0.0387, -0.0256, 0.0111, 0.0126, -0.0053, 0.0079, -0.0006, -0.0174, 0.0208, 0.0484, 0.0909, 0.0613, 0.0688, 0.0604, 0.0514, 0.0628, 0.0657, 0.1361, 0.1667, 0.1898, 0.21, 0.1918, 0.1957, 0.1976, 0.209, 0.2376, 0.2376, 0.2726, 0.2612, 0.2853, 0.2455, 0.1943, 0.2265, 0.2077, 0.2464, 0.2266, 0.2527, 0.199, 0.1979, 0.2776, 0.2819, 0.2431, 0.2478, 0.2814, 0.2824, 0.2712, 0.2962, 0.2962, 0.2898, 0.3317, 0.3104, 0.3164, 0.3164, 0.2433, 0.2209, 0.2177, 0.1503, 0.1328, 0.1365, 0.1566, 0.1281, 0.2009, 0.1738, 0.1738, 0.163, 0.1759, 0.1603, 0.2119, 0.1966, 0.1858, 0.1139, 0.0579, 0.0833, 0.09, 0.0607, 0.025, -0.0167, -0.0669, -0.0716, -0.0433, -0.0488, -0.0504, -0.0212, -0.0212, 0.0226, 0.0673, 0.0298, 0.0377, 0.0488, 0.0283, 0.0248, 0.0452, 0.0652, 0.0304, 0.094, 0.0781, 0.0798, 0.0708, 0.1084, 0.0317, 0.0493, 0.0634, 0.0876, 0.0614, 0.0286, 0.0232, 0.0097, 0.0304, 0.0639, 0.0724, 0.0462, 0.0654, 0.0654, 0.0433, 0.0776, 0.0797]}
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{"unit_id": "orig:730186428102127616", "ticker_idx": 0, "ts": "2016-05-11T00:03:05+00:00", "symbol": "NFLX", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$NFLX is in its infancy!", "tweet_type": "prediction", "timeline": "years", "summary": "Bullish NFLX: author calls it in its infancy, citing Reed Hastings' target of 600M households vs 82M today.", "resolved_tickers": ["NFLX"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLC", "bench_c_reason": "industry='Entertainment'", "bench_c_industry": "Entertainment", "unit_kind": "original", "lang": "en", "tweet_text": "$NFLX is in its infancy! \"@ARKwebx0 Reed Hastings wants to be in one third of global households in seven years:  600m versus 82m today.\"", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.03188177150357108, "ret_signed_m1d": 0.03188177150357108, "alpha_spy_m1d": 0.022438538272713693, "alpha_c_m1d": null, "bench_spy_m1d": 0.009443233230857384, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.025327670613895292, "ret_signed_p1d": -0.025327670613895292, "alpha_spy_p1d": -0.02561825170737253, "alpha_c_p1d": null, "bench_spy_p1d": 0.00029058109347723793, "bench_c_p1d": null, "ret_p1w": 0.005332185788303079, "ret_signed_p1w": 0.005332185788303079, "alpha_spy_p1w": 0.013031932458296813, "alpha_c_p1w": null, "bench_spy_p1w": -0.0076997466699937345, "bench_c_p1w": null, "ret_p1m": 0.07853807933040668, "ret_signed_p1m": 0.07853807933040668, "alpha_spy_p1m": 0.05151647291706185, "alpha_c_p1m": null, "bench_spy_p1m": 0.027021606413344834, "bench_c_p1m": null, "ret_p3m": 0.05654297186406465, "ret_signed_p3m": 0.05654297186406465, "alpha_spy_p3m": -0.004880183178648023, "alpha_c_p3m": null, "bench_spy_p3m": 0.061423155042712674, "bench_c_p3m": null, "ret_p6m": 0.35680959174750715, "ret_signed_p6m": 0.35680959174750715, "alpha_spy_p6m": 0.3353769530285202, "alpha_c_p6m": null, "bench_spy_p6m": 0.02143263871898693, "bench_c_p6m": null, "price_path": [-0.0291, -0.0291, -0.0108, 0.0527, 0.0052, -0.0088, 0.0212, -0.01, 0.0177, 0.0501, 0.053, 0.0377, 0.092, 0.0843, 0.0879, 0.1284, 0.0608, 0.069, 0.0886, 0.0815, 0.0849, 0.0901, 0.0871, 0.1036, 0.1078, 0.1233, 0.1226, 0.1091, 0.1063, 0.0926, 0.0926, 0.1243, 0.1567, 0.1352, 0.1356, 0.1742, 0.1592, 0.1657, 0.1645, 0.1603, 0.1532, 0.1406, 0.1884, 0.2181, 0.2266, 0.2387, 0.2042, 0.048, 0.075, 0.0551, 0.0653, 0.0393, 0.0268, 0.0113, 0.0029, 0.0001, 0.0343, 0.0169, 0.0086, -0.0072, 0.0091, 0.0058, 0.0319, 0.0, -0.0253, -0.0238, -0.01, -0.0154, 0.0053, -0.0052, 0.0274, 0.0541, 0.0874, 0.1131, 0.1421, 0.1475, 0.1475, 0.1394, 0.1276, 0.1248, 0.1063, 0.1191, 0.1096, 0.0871, 0.0785, 0.0414, 0.0425, 0.0455, 0.0474, 0.0602, 0.0492, 0.042, 0.0108, -0.0001, 0.0182, -0.0176, -0.0521, -0.0228, 0.0116, 0.0162, 0.0739, 0.0739, 0.0876, 0.0509, 0.0564, 0.0782, 0.0517, 0.0661, 0.0712, 0.0889, 0.093, 0.0976, -0.0464, -0.0234, -0.0448, -0.0459, -0.0262, 0.0154, 0.0224, 0.0181, 0.0137, 0.0483, 0.0393, 0.0342, 0.038, 0.0779, 0.0565, 0.0441, 0.0434, 0.0652, 0.073, 0.0588, 0.0567, 0.0705, 0.0682, 0.065, 0.0582, 0.0658, 0.0573, 0.0811, 0.084, 0.0809, 0.0825, 0.0825, 0.0818, 0.0818, 0.0818, 0.1119, 0.1014, 0.1071, 0.072, 0.1003, 0.0674, 0.0776, 0.0813, 0.1051, 0.0893, 0.0914, 0.054, 0.0645, 0.0658, 0.0504, 0.0783, 0.0829, 0.0739, 0.0948, 0.1401, 0.1369, 0.1806, 0.1672, 0.1644, 0.1479, 0.1174, 0.1053, 0.1134, 0.1272, 0.1086, 0.3196, 0.3538, 0.3703, 0.4164, 0.4145, 0.4054, 0.4105, 0.4049, 0.406, 0.3871, 0.3697, 0.359, 0.3568]}
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{"unit_id": "orig:768540435153387521", "ticker_idx": 0, "ts": "2016-08-24T20:08:13+00:00", "symbol": "AMZN", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "#Alexa ($AMZN) is going to be the link between home and car", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Alexa positioned as the key connector between home and car, bullish on AMZN as Hyundai and BMW integrate it.", "resolved_tickers": ["AMZN"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Internet Retail'", "bench_c_industry": "Internet Retail", "unit_kind": "original", "lang": "en", "tweet_text": "First $F, now #Hyundai, soon #BMW. \"@ARKindu  #Alexa ($AMZN) is going to be the link between home and car. https://t.co/Nxu6lqcTJ0\"", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.00686700934881701, "ret_signed_m1d": 0.00686700934881701, "alpha_spy_m1d": 0.0017256471072168988, "alpha_c_m1d": 0.0020780883825592955, "bench_spy_m1d": 0.0051413622416001115, "bench_c_m1d": 0.004788920966257715, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0026015001671968463, "ret_signed_p1d": 0.0026015001671968463, "alpha_spy_p1d": 0.0032901919014115544, "alpha_c_p1d": 0.00591680325061128, "bench_spy_p1d": -0.0006886917342147081, "bench_c_p1d": -0.0033153030834144337, "ret_p1w": 0.01572798832735356, "ret_signed_p1w": 0.01572798832735356, "alpha_spy_p1w": 0.017885511819106803, "alpha_c_p1w": 0.026533274595652023, "bench_spy_p1w": -0.0021575234917532438, "bench_c_p1w": -0.010805286268298464, "ret_p1m": 0.06266098173912327, "ret_signed_p1m": 0.06266098173912327, "alpha_spy_p1m": 0.060700871728881944, "alpha_c_p1m": 0.07844617317095592, "bench_spy_p1m": 0.0019601100102413227, "bench_c_p1m": -0.015785191431832657, "ret_p3m": 0.030042939210574993, "ret_signed_p3m": 0.030042939210574993, "alpha_spy_p3m": 0.01438067685207689, "alpha_c_p3m": 0.022655658011190072, "bench_spy_p3m": 0.015662262358498102, "bench_c_p3m": 0.007387281199384921, "ret_p6m": 0.1147441817868391, "ret_signed_p6m": 0.1147441817868391, "alpha_spy_p6m": 0.025480563598783146, "alpha_c_p6m": 0.044358154070374134, "bench_spy_p6m": 0.08926361818805595, "bench_c_p6m": 0.07038602771646496, "price_path": [-0.0594, -0.0594, -0.0455, -0.0499, -0.0383, -0.0419, -0.0403, -0.0443, -0.0404, -0.0391, -0.052, -0.0555, -0.0501, -0.0568, -0.0525, -0.0672, -0.0571, -0.0547, -0.0616, -0.0464, -0.077, -0.087, -0.0651, -0.055, -0.055, -0.0417, -0.0417, -0.0385, -0.0259, -0.0273, -0.0151, -0.0046, -0.0119, -0.0193, -0.0212, -0.0288, -0.028, -0.0228, -0.0152, -0.0169, -0.0164, -0.0233, -0.0286, -0.0272, -0.0061, 0.0021, 0.0139, 0.0044, -0.0034, 0.0046, 0.0115, 0.0123, 0.0146, 0.0149, 0.0185, 0.0202, 0.0148, 0.009, 0.0097, 0.0095, 0.0001, 0.0029, 0.0069, 0.0, 0.0026, 0.0155, 0.0185, 0.0136, 0.0157, 0.0177, 0.0201, 0.0201, 0.0418, 0.036, 0.0354, 0.0038, 0.0188, 0.005, 0.0051, 0.0164, 0.0281, 0.0236, 0.0303, 0.0429, 0.0627, 0.064, 0.0553, 0.0777, 0.0944, 0.0948, 0.1057, 0.105, 0.1014, 0.115, 0.1115, 0.1085, 0.1115, 0.0974, 0.1015, 0.0951, 0.0868, 0.0736, 0.0798, 0.0798, 0.0701, 0.0815, 0.1068, 0.1029, 0.0863, 0.0807, 0.0252, 0.043, 0.0372, 0.011, 0.0129, -0.0029, 0.0366, 0.0403, 0.0193, -0.0196, -0.0241, -0.0504, -0.0185, -0.0142, -0.0011, 0.0038, 0.03, 0.0371, 0.0302, 0.0302, 0.0305, 0.0126, 0.007, -0.0088, -0.018, -0.0223, 0.0028, 0.0099, 0.0174, 0.0133, 0.0151, 0.0038, 0.0226, 0.0153, 0.005, 0.0007, 0.0116, 0.0184, 0.0176, 0.012, 0.0044, 0.0044, 0.0187, 0.0197, 0.0104, -0.0097, -0.0097, -0.0047, -0.0001, 0.0306, 0.0512, 0.0524, 0.051, 0.0552, 0.0745, 0.0791, 0.0791, 0.0693, 0.0663, 0.0684, 0.0675, 0.0801, 0.0861, 0.1047, 0.1082, 0.1037, 0.0966, 0.0875, 0.0992, 0.1092, 0.0699, 0.0665, 0.073, 0.0825, 0.0847, 0.0927, 0.1047, 0.1045, 0.1128, 0.1147]}
{"unit_id": "orig:727607177695899648", "ticker_idx": 0, "ts": "2016-05-03T21:14:04+00:00", "symbol": "ILMN", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "ARK puts $ILMN into perspective & forecasts significant reacceleration in its growth rate during the next few years", "tweet_type": "news_reaction", "timeline": "years", "summary": "Shares ARK's bullish thesis: ILMN set for significant growth reacceleration over the next few years.", "resolved_tickers": ["ILMN"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLV", "bench_c_reason": "industry='Diagnostics & Research'", "bench_c_industry": "Diagnostics & Research", "unit_kind": "original", "lang": "en", "tweet_text": "ARK puts $ILMN into perspective & forecasts significant reacceleration in its growth rate during the next few years https://t.co/wgI2suVDcN", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.01698457733619807, "ret_signed_m1d": 0.01698457733619807, "alpha_spy_m1d": 0.00820520276819292, "alpha_c_m1d": 0.013840338183829681, "bench_spy_m1d": 0.00877937456800515, "bench_c_m1d": 0.003144239152368389, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.009876509303995418, "ret_signed_p1d": 0.009876509303995418, "alpha_spy_p1d": 0.015455004889131096, "alpha_c_p1d": 0.019451935865696934, "bench_spy_p1d": -0.005578495585135679, "bench_c_p1d": -0.009575426561701517, "ret_p1w": 0.06876163542252756, "ret_signed_p1w": 0.06876163542252756, "alpha_spy_p1w": 0.05765377864195553, "alpha_c_p1w": 0.06032962126681518, "bench_spy_p1w": 0.011107856780572023, "bench_c_p1w": 0.008432014155712375, "ret_p1m": 0.09075940592827636, "ret_signed_p1m": 0.09075940592827636, "alpha_spy_p1m": 0.07082321442542439, "alpha_c_p1m": 0.06732096567500534, "bench_spy_p1m": 0.019936191502851974, "bench_c_p1m": 0.02343844025327102, "ret_p3m": 0.24466880226770882, "ret_signed_p3m": 0.24466880226770882, "alpha_spy_p3m": 0.18602960881045805, "alpha_c_p3m": 0.16559642562185073, "bench_spy_p3m": 0.05863919345725077, "bench_c_p3m": 0.07907237664585809, "ret_p6m": 0.04713802935524236, "ret_signed_p6m": 0.04713802935524236, "alpha_spy_p6m": -0.00028528135826744183, "alpha_c_p6m": 0.05377416379018263, "bench_spy_p6m": 0.0474233107135098, "bench_c_p6m": -0.006636134434940266, "price_path": [0.0728, 0.018, 0.0129, 0.0437, 0.0378, 0.036, 0.0679, 0.0679, 0.1157, 0.1645, 0.1235, 0.1321, 0.1443, 0.1219, 0.118, 0.1403, 0.1621, 0.1241, 0.1935, 0.1762, 0.1781, 0.1683, 0.2093, 0.1256, 0.1448, 0.1602, 0.1866, 0.158, 0.1222, 0.1163, 0.1015, 0.1241, 0.1607, 0.1699, 0.1413, 0.1623, 0.1623, 0.1383, 0.1757, 0.1779, 0.2129, 0.2485, 0.254, 0.2251, 0.3031, 0.2586, 0.2597, 0.2712, 0.2828, 0.302, 0.2917, 0.2992, 0.3328, 0.0242, 0.0436, 0.0845, 0.0744, 0.0705, 0.0416, 0.037, 0.0157, 0.01, 0.017, 0.0, 0.0099, 0.0393, 0.0528, 0.0607, 0.0688, 0.039, 0.0246, 0.0245, 0.0505, 0.0383, 0.0492, 0.0328, 0.0513, 0.0462, 0.0736, 0.0741, 0.0709, 0.0763, 0.0763, 0.0837, 0.0908, 0.1006, 0.089, 0.1044, 0.0845, 0.0869, 0.0731, 0.0596, 0.0453, 0.0308, 0.023, 0.0201, 0.0254, 0.0483, 0.0404, 0.0542, 0.0968, 0.0394, 0.0137, 0.0102, 0.0294, 0.0504, 0.053, 0.053, 0.0376, 0.0534, 0.048, 0.0569, 0.0448, 0.1148, 0.0914, 0.1016, 0.1127, 0.1191, 0.1125, 0.1417, 0.1321, 0.128, 0.1271, 0.1231, 0.214, 0.2452, 0.2447, 0.2768, 0.2489, 0.2349, 0.2395, 0.246, 0.2455, 0.239, 0.2419, 0.2572, 0.2495, 0.2971, 0.2694, 0.2656, 0.2897, 0.2845, 0.3, 0.2929, 0.2685, 0.2681, 0.2885, 0.2751, 0.2644, 0.2596, 0.2612, 0.2563, 0.2563, 0.2733, 0.2688, 0.2725, 0.2334, 0.2773, 0.2731, 0.2853, 0.3089, 0.2942, 0.2955, 0.3154, 0.3352, 0.3419, 0.3418, 0.3354, 0.3494, 0.3541, 0.3211, 0.3592, 0.3635, 0.3559, 0.393, 0.3837, 0.3804, 0.3831, 0.04, 0.0189, 0.0263, 0.0325, 0.0567, 0.0866, 0.0978, 0.0687, 0.061, 0.0645, 0.0339, 0.0471]}
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{"unit_id": "quote:642000936303398912", "ticker_idx": 0, "ts": "2015-09-10T15:45:25+00:00", "symbol": "AAPL", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Only 27% of $AAPL users have upgraded to the 6, so it has more of a tailwind than most analysts seem to think.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish AAPL: only 27% of users upgraded to iPhone 6, leaving a larger upgrade tailwind than consensus expects.", "resolved_tickers": ["AAPL"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLK", "bench_c_reason": "industry='Consumer Electronics'", "bench_c_industry": "Consumer Electronics", "unit_kind": "quote", "lang": "en", "tweet_text": "Only 27% of $AAPL users have upgraded to the 6, so it has more of a tailwind than most analysts seem to think.\nhttps://t.co/sBCQyS2cLd", "reply_text": null, "parent_text": null, "quoted_text": "2/ Contrary to naysayers, iPhone 6S is a huge upgrade, especially for an S cycle. 3D touch + 12mp camera are palpable improvements.", "parent_author": null, "ret_m1d": -0.021497568140531387, "ret_signed_m1d": -0.021497568140531387, "alpha_spy_m1d": -0.016085384286224302, "alpha_c_m1d": -0.011564538502191968, "bench_spy_m1d": -0.005412183854307084, "bench_c_m1d": -0.009933029638339419, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.014568851723487652, "ret_signed_p1d": 0.014568851723487652, "alpha_spy_p1d": 0.01002424282381642, "alpha_c_p1d": 0.009851177043497028, "bench_spy_p1d": 0.004544608899671232, "bench_c_p1d": 0.004717674679990624, "ret_p1w": 0.011992651872319238, "ret_signed_p1w": 0.011992651872319238, "alpha_spy_p1w": -0.007818405439451004, "alpha_c_p1w": -0.0004232065104212701, "bench_spy_p1w": 0.01981105731177024, "bench_c_p1w": 0.012415858382740508, "ret_p1m": -0.003997525420617265, "ret_signed_p1m": -0.003997525420617265, "alpha_spy_p1m": -0.037322637856765484, "alpha_c_p1m": -0.038688862911717026, "bench_spy_p1m": 0.03332511243614822, "bench_c_p1m": 0.03469133749109976, "ret_p3m": 0.054775927623240905, "ret_signed_p3m": 0.054775927623240905, "alpha_spy_p3m": -0.007393721868275138, "alpha_c_p3m": -0.048761824705161105, "bench_spy_p3m": 0.062169649491516044, "bench_c_p3m": 0.10353775232840201, "ret_p6m": -0.0760211836334792, "ret_signed_p6m": -0.0760211836334792, "alpha_spy_p6m": -0.11084907980336145, "alpha_c_p6m": -0.13947466896005567, "bench_spy_p6m": 0.034827896169882244, "bench_c_p6m": 0.06345348532657646, "price_path": [0.1224, 0.1284, 0.1258, 0.1309, 0.1196, 0.1285, 0.1234, 0.1329, 0.1275, 0.1209, 0.1013, 0.1092, 0.1196, 0.1182, 0.1182, 0.1143, 0.1115, 0.0839, 0.0618, 0.0902, 0.1113, 0.1108, 0.1215, 0.1365, 0.1463, 0.1679, 0.1563, 0.1074, 0.1068, 0.101, 0.0857, 0.0911, 0.0876, 0.0822, 0.0727, 0.0474, 0.0138, 0.0205, 0.0227, 0.0262, 0.0635, 0.0082, 0.0237, 0.0229, 0.0301, 0.0408, 0.0349, 0.0217, 0.0007, -0.0605, -0.0839, -0.0784, -0.0256, 0.0031, 0.0064, 0.0017, -0.0431, -0.002, -0.0195, -0.0293, -0.0293, -0.0023, -0.0215, 0.0, 0.0146, 0.0243, 0.033, 0.0341, 0.012, 0.0078, 0.0235, 0.0074, 0.0155, 0.0216, 0.019, -0.0012, -0.0312, -0.0202, -0.0266, -0.0195, -0.0159, -0.0112, -0.0159, -0.0273, -0.004, -0.0086, -0.0069, -0.021, -0.0063, -0.0136, -0.0075, 0.0107, 0.0106, 0.026, 0.0578, 0.0241, 0.0176, 0.0595, 0.0707, 0.0616, 0.0765, 0.0888, 0.0838, 0.0788, 0.08, 0.0757, 0.0418, 0.0359, 0.0324, 0.0022, 0.0186, 0.0143, 0.0464, 0.0597, 0.0643, 0.0505, 0.0606, 0.053, 0.053, 0.051, 0.0554, 0.0468, 0.0374, 0.0277, 0.0619, 0.0552, 0.0548, 0.0315, 0.0364, 0.0097, 0.0035, -0.0143, -0.0067, -0.0277, -0.0541, -0.0425, -0.0434, -0.031, -0.0362, -0.0362, -0.047, -0.0299, -0.0426, -0.0609, -0.0609, -0.0601, -0.0837, -0.1016, -0.1395, -0.135, -0.121, -0.1082, -0.1311, -0.1121, -0.1335, -0.1335, -0.1377, -0.1365, -0.1409, -0.0952, -0.1129, -0.108, -0.1666, -0.1606, -0.1316, -0.1397, -0.1571, -0.1404, -0.1335, -0.1567, -0.1478, -0.148, -0.1544, -0.1595, -0.1569, -0.1569, -0.1332, -0.1199, -0.1366, -0.1385, -0.131, -0.1506, -0.138, -0.1321, -0.1307, -0.1327, -0.0983, -0.0963, -0.0896, -0.076]}
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{"unit_id": "orig:782989868322414592", "ticker_idx": 0, "ts": "2016-10-03T17:05:06+00:00", "symbol": "COST", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "huge threat to $COST & Sam's Club", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Amazon Prime's 44% US household penetration is a huge threat to Costco and Sam's Club.", "resolved_tickers": ["COST"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLP", "bench_c_reason": "industry='Discount Stores'", "bench_c_industry": "Discount Stores", "unit_kind": "original", "lang": "en", "tweet_text": "$AMZN Prime's total membership at 49M in the US or 44% of all US households... huge threat to $COST & Sam's Club\nhttps://t.co/CGmhO34JUj", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.009932938676528114, "ret_signed_m1d": -0.009932938676528114, "alpha_spy_m1d": -0.007522870915668278, "alpha_c_m1d": -0.0035021660468084193, "bench_spy_m1d": 0.0024100677608598353, "bench_c_m1d": 0.006430772629719694, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.00350989827618442, "ret_signed_p1d": 0.00350989827618442, "alpha_spy_p1d": -0.0015879639204696705, "alpha_c_p1d": -0.005001749913991271, "bench_spy_p1d": -0.0050978621966540905, "bench_c_p1d": -0.008511648190175691, "ret_p1w": -0.004833641235384323, "ret_signed_p1w": 0.004833641235384323, "alpha_spy_p1w": 0.006594746368400961, "alpha_c_p1w": -0.005380355221138222, "bench_spy_p1w": 0.0017611051330166383, "bench_c_p1w": -0.010213996456522545, "ret_p1m": -0.028805814747997704, "ret_signed_p1m": 0.028805814747997704, "alpha_spy_p1m": 0.006700139047895348, "alpha_c_p1m": 0.023131817281820677, "bench_spy_p1m": -0.022105675700102356, "bench_c_p1m": -0.005673997466177028, "ret_p3m": 0.07029929584087702, "ret_signed_p3m": -0.07029929584087702, "alpha_spy_p3m": -0.024454621589715453, "alpha_c_p3m": -0.07999076815371042, "bench_spy_p3m": 0.045844674251161566, "bench_c_p3m": -0.009691472312833405, "ret_p6m": 0.11074699073738192, "ret_signed_p6m": -0.11074699073738192, "alpha_spy_p6m": -0.008991677412507615, "alpha_c_p6m": -0.06197667353635272, "bench_spy_p6m": 0.10175531332487431, "bench_c_p6m": 0.0487703172010292, "price_path": [0.0303, 0.0811, 0.0926, 0.1011, 0.0982, 0.1015, 0.1025, 0.099, 0.1063, 0.1103, 0.1098, 0.1033, 0.106, 0.1093, 0.1067, 0.0973, 0.0986, 0.1044, 0.1066, 0.0996, 0.0971, 0.1, 0.1075, 0.1056, 0.1086, 0.1144, 0.1117, 0.1194, 0.1173, 0.1152, 0.1122, 0.1109, 0.1126, 0.1121, 0.1083, 0.1097, 0.0917, 0.0856, 0.0859, 0.0725, 0.0734, 0.0344, 0.0462, 0.0462, 0.0467, 0.0307, 0.0163, -0.0021, 0.0045, -0.0018, -0.0021, 0.011, 0.0089, 0.0052, 0.0077, 0.0112, 0.0142, 0.0101, 0.0012, -0.0037, -0.0106, -0.0233, 0.0099, 0.0, -0.0035, -0.0068, -0.0102, -0.0068, -0.0048, 0.0, -0.0036, -0.0052, -0.0057, -0.0153, -0.0126, -0.0103, -0.0064, -0.0135, 0.0074, -0.0001, -0.0002, -0.001, -0.0083, -0.0208, -0.0288, -0.0284, -0.0405, -0.0552, -0.0465, -0.0296, -0.025, -0.0256, -0.0079, 0.0097, 0.004, 0.0106, 0.0043, -0.0012, 0.0041, 0.0141, 0.007, 0.007, 0.0089, 0.0047, 0.0062, -0.0029, 0.0079, 0.0103, 0.0081, 0.0031, 0.0219, 0.0468, 0.0608, 0.065, 0.0613, 0.0561, 0.0635, 0.0655, 0.0858, 0.0884, 0.083, 0.0765, 0.0766, 0.0766, 0.0764, 0.0695, 0.0703, 0.0635, 0.0635, 0.061, 0.0612, 0.0821, 0.0816, 0.0692, 0.0738, 0.073, 0.0752, 0.0751, 0.0751, 0.0881, 0.0912, 0.0874, 0.091, 0.0828, 0.0872, 0.0903, 0.0898, 0.0765, 0.0844, 0.089, 0.0751, 0.1169, 0.1181, 0.1095, 0.1127, 0.1217, 0.1387, 0.1456, 0.1453, 0.1564, 0.1656, 0.1706, 0.1713, 0.1713, 0.1785, 0.1756, 0.1712, 0.1826, 0.183, 0.1801, 0.1846, 0.1854, 0.134, 0.1105, 0.1123, 0.1072, 0.1041, 0.1014, 0.096, 0.1006, 0.1092, 0.1127, 0.1177, 0.1152, 0.1108, 0.1168, 0.1116, 0.1058, 0.1066, 0.1107]}
{"unit_id": "quote:592795692810244096", "ticker_idx": 0, "ts": "2015-04-27T21:01:21+00:00", "symbol": "SSYS", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$SSYS will tell a much different story.", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish SSYS, implying it will outperform DDD's no-growth outlook.", "resolved_tickers": ["SSYS"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLK", "bench_c_reason": "industry='Computer Hardware'", "bench_c_industry": "Computer Hardware", "unit_kind": "quote", "lang": "en", "tweet_text": "$SSYS will tell a much different story.\nhttps://t.co/VHHMpG87CM", "reply_text": null, "parent_text": null, "quoted_text": "$DDD expects no organic growth. That's not good. http://t.co/ajAIG5MBvw #3Dprinting $SSYS", "parent_author": null, "ret_m1d": 0.04164126053468209, "ret_signed_m1d": 0.04164126053468209, "alpha_spy_m1d": 0.03746622151009493, "alpha_c_m1d": 0.04441546311682143, "bench_spy_m1d": 0.004175039024587157, "bench_c_m1d": -0.00277420258213934, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0420475261846851, "ret_signed_p1d": 0.0420475261846851, "alpha_spy_p1d": 0.03886872812804687, "alpha_c_p1d": 0.03881075604287476, "bench_spy_p1d": 0.0031787980566382323, "bench_c_p1d": 0.003236770141810341, "ret_p1w": -0.23400366778147574, "ret_signed_p1w": -0.23400366778147574, "alpha_spy_p1w": -0.2366133717794595, "alpha_c_p1w": -0.23146059863218604, "bench_spy_p1w": 0.00260970399798377, "bench_c_p1w": -0.0025430691492897006, "ret_p1m": -0.2728011462533869, "ret_signed_p1m": -0.2728011462533869, "alpha_spy_p1m": -0.2724690369204881, "alpha_c_p1m": -0.26632760596976635, "bench_spy_p1m": -0.0003321093328988445, "bench_c_p1m": -0.006473540283620571, "ret_p3m": -0.31687992320083713, "ret_signed_p3m": -0.31687992320083713, "alpha_spy_p3m": -0.31893123792212286, "alpha_c_p3m": -0.30605063027569523, "bench_spy_p3m": 0.002051314721285724, "bench_c_p3m": -0.010829292925141898, "ret_p6m": -0.3806621967371824, "ret_signed_p6m": -0.3806621967371824, "alpha_spy_p6m": -0.35404070947221766, "alpha_c_p6m": -0.360994706135623, "bench_spy_p6m": -0.026621487264964716, "bench_c_p6m": -0.019667490601559368, "price_path": [0.6055, 0.5907, 0.6147, 0.6267, 0.1651, 0.1859, 0.2663, 0.2466, 0.2791, 0.2976, 0.3398, 0.3711, 0.3642, 0.3642, 0.2907, 0.249, 0.2714, 0.2976, 0.2716, 0.2659, 0.2429, 0.2482, 0.2606, 0.2777, 0.2547, 0.2568, 0.3063, 0.2663, 0.2474, 0.2212, 0.2409, 0.2068, 0.1739, 0.1771, 0.1702, 0.2035, 0.1861, 0.1962, 0.2052, 0.2161, 0.183, 0.1655, 0.1115, 0.09, 0.0721, 0.0806, 0.0743, 0.0743, 0.0843, 0.1097, 0.1507, 0.1534, 0.159, 0.157, 0.1794, 0.2478, 0.1781, 0.1292, 0.145, 0.0853, 0.0888, 0.1085, 0.0416, 0.0, 0.042, -0.1889, -0.2393, -0.2543, -0.234, -0.2494, -0.2628, -0.2897, -0.2823, -0.2781, -0.2915, -0.2876, -0.296, -0.2935, -0.2838, -0.2752, -0.2897, -0.2421, -0.2637, -0.2637, -0.2728, -0.2722, -0.2602, -0.2777, -0.2826, -0.2815, -0.2724, -0.2758, -0.2283, -0.2472, -0.2472, -0.247, -0.2643, -0.2823, -0.2815, -0.2708, -0.2482, -0.2401, -0.2488, -0.2285, -0.2092, -0.2334, -0.2375, -0.2553, -0.2728, -0.2905, -0.3027, -0.298, -0.298, -0.3086, -0.2994, -0.3088, -0.3486, -0.3285, -0.3134, -0.2966, -0.3142, -0.3053, -0.3177, -0.3614, -0.3189, -0.3323, -0.3169, -0.2998, -0.2665, -0.2336, -0.2588, -0.3364, -0.3758, -0.4119, -0.4231, -0.4312, -0.3782, -0.3957, -0.3374, -0.3634, -0.3559, -0.3642, -0.362, -0.3766, -0.3955, -0.4241, -0.4491, -0.4258, -0.4335, -0.4548, -0.4381, -0.4067, -0.3902, -0.3772, -0.413, -0.4018, -0.4126, -0.4233, -0.4233, -0.3993, -0.4154, -0.4128, -0.4119, -0.387, -0.3955, -0.3963, -0.3928, -0.4142, -0.4144, -0.378, -0.4077, -0.3961, -0.4142, -0.4142, -0.4684, -0.4619, -0.48, -0.4597, -0.4241, -0.3975, -0.3853, -0.3522, -0.352, -0.374, -0.3705, -0.3762, -0.3703, -0.3715, -0.3967, -0.3807]}
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{"unit_id": "quote:651474765593481216", "ticker_idx": 0, "ts": "2015-10-06T19:11:02+00:00", "symbol": "ILMN", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "The 36% growth in sequencing-consumables will accelerate now that the HiSeqX-10 can sequence non-human organisms.", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish ILMN: 36% sequencing-consumables growth will accelerate on HiSeqX-10 non-human sequencing expansion.", "resolved_tickers": ["ILMN"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLV", "bench_c_reason": "industry='Diagnostics & Research'", "bench_c_industry": "Diagnostics & Research", "unit_kind": "quote", "lang": "en", "tweet_text": "The 36% growth in sequencing-consumables will accelerate now that the HiSeqX-10 can sequence non-human organisms.\nhttps://t.co/GWpnnVBh5a", "reply_text": null, "parent_text": null, "quoted_text": "$ILMN Quarterly YoY Sequencing Consumables Growth. http://t.co/SUVpRYPmFe", "parent_author": null, "ret_m1d": 0.11905906592298288, "ret_signed_m1d": 0.11905906592298288, "alpha_spy_m1d": 0.11562120356583572, "alpha_c_m1d": 0.09497898031734375, "bench_spy_m1d": 0.003437862357147159, "bench_c_m1d": 0.024080085605639123, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0008916114402957032, "ret_signed_p1d": 0.0008916114402957032, "alpha_spy_p1d": -0.007299008630051729, "alpha_c_p1d": -0.01511201403761575, "bench_spy_p1d": 0.008190620070347432, "bench_c_p1d": 0.016003625477911454, "ret_p1w": -0.002606091595217408, "ret_signed_p1w": -0.002606091595217408, "alpha_spy_p1w": -0.015043839274318294, "alpha_c_p1w": -0.016067084987853142, "bench_spy_p1w": 0.012437747679100886, "bench_c_p1w": 0.013460993392635734, "ret_p1m": 0.0908717513548718, "ret_signed_p1m": 0.0908717513548718, "alpha_spy_p1m": 0.02731945518178569, "alpha_c_p1m": 0.009806793720407825, "bench_spy_p1m": 0.06355229617308611, "bench_c_p1m": 0.08106495763446397, "ret_p3m": 0.3164392257826316, "ret_signed_p3m": 0.3164392257826316, "alpha_spy_p3m": 0.2795651381456503, "alpha_c_p3m": 0.23454964724443883, "bench_spy_p3m": 0.0368740876369813, "bench_c_p3m": 0.08188957853819279, "ret_p6m": 0.07969282867064376, "ret_signed_p6m": 0.07969282867064376, "alpha_spy_p6m": 0.026479552570439102, "alpha_c_p6m": 0.05482087595407337, "bench_spy_p6m": 0.053213276100204654, "bench_c_p6m": 0.02487195271657039, "price_path": [0.4894, 0.505, 0.5189, 0.5723, 0.5711, 0.5833, 0.6443, 0.6461, 0.6291, 0.4916, 0.5084, 0.5164, 0.4901, 0.4939, 0.4895, 0.5011, 0.504, 0.4862, 0.4698, 0.4804, 0.4379, 0.4437, 0.4524, 0.4306, 0.4221, 0.4323, 0.427, 0.4259, 0.4197, 0.4104, 0.3746, 0.3713, 0.3152, 0.3006, 0.3422, 0.385, 0.3833, 0.3553, 0.3245, 0.3587, 0.3404, 0.3247, 0.3247, 0.3608, 0.3493, 0.3713, 0.4156, 0.4129, 0.4108, 0.4079, 0.4406, 0.4325, 0.373, 0.3243, 0.3026, 0.2913, 0.2039, 0.1488, 0.1647, 0.2058, 0.0782, 0.1221, 0.1191, 0.0, 0.0009, -0.0373, 0.0134, 0.0054, -0.0026, -0.0087, 0.0414, 0.0302, 0.0115, -0.0049, -0.0387, -0.0256, 0.0111, 0.0126, -0.0053, 0.0079, -0.0006, -0.0174, 0.0208, 0.0484, 0.0909, 0.0613, 0.0688, 0.0604, 0.0514, 0.0628, 0.0657, 0.1361, 0.1667, 0.1898, 0.21, 0.1918, 0.1957, 0.1976, 0.209, 0.2376, 0.2376, 0.2726, 0.2612, 0.2853, 0.2455, 0.1943, 0.2265, 0.2077, 0.2464, 0.2266, 0.2527, 0.199, 0.1979, 0.2776, 0.2819, 0.2431, 0.2478, 0.2814, 0.2824, 0.2712, 0.2962, 0.2962, 0.2898, 0.3317, 0.3104, 0.3164, 0.3164, 0.2433, 0.2209, 0.2177, 0.1503, 0.1328, 0.1365, 0.1566, 0.1281, 0.2009, 0.1738, 0.1738, 0.163, 0.1759, 0.1603, 0.2119, 0.1966, 0.1858, 0.1139, 0.0579, 0.0833, 0.09, 0.0607, 0.025, -0.0167, -0.0669, -0.0716, -0.0433, -0.0488, -0.0504, -0.0212, -0.0212, 0.0226, 0.0673, 0.0298, 0.0377, 0.0488, 0.0283, 0.0248, 0.0452, 0.0652, 0.0304, 0.094, 0.0781, 0.0798, 0.0708, 0.1084, 0.0317, 0.0493, 0.0634, 0.0876, 0.0614, 0.0286, 0.0232, 0.0097, 0.0304, 0.0639, 0.0724, 0.0462, 0.0654, 0.0654, 0.0433, 0.0776, 0.0797]}
{"unit_id": "quote:628576875145592832", "ticker_idx": 0, "ts": "2015-08-04T14:43:00+00:00", "symbol": "SSYS", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "The bear raid on #3DPrinting stocks has pushed $SSYS down to 0.5X book, vs. 1X for $DDD...which does not make sense!", "tweet_type": "analysis", "timeline": "unspecified", "summary": "SSYS at 0.5x book vs DDD at 1x book seen as unjustified; implied SSYS is undervalued and should re-rate higher.", "resolved_tickers": ["SSYS"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLK", "bench_c_reason": "industry='Computer Hardware'", "bench_c_industry": "Computer Hardware", "unit_kind": "quote", "lang": "en", "tweet_text": "The bear raid on #3DPrinting stocks has pushed $SSYS down to 0.5X book, vs. 1X for $DDD...which does not make sense!\nhttps://t.co/wJ6hQRbsxH", "reply_text": null, "parent_text": null, "quoted_text": "#3Dprinting for all! http://t.co/euvCRWsGeQ $ADSK Spark is now included in #Windows10.", "parent_author": null, "ret_m1d": 0.019366237739324443, "ret_signed_m1d": 0.019366237739324443, "alpha_spy_m1d": 0.017408337178562938, "alpha_c_m1d": 0.01342743483018749, "bench_spy_m1d": 0.001957900560761505, "bench_c_m1d": 0.005938802909136953, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.01408449379940424, "ret_signed_p1d": -0.01408449379940424, "alpha_spy_p1d": -0.017380064944115592, "alpha_c_p1d": -0.023823474518975818, "bench_spy_p1d": 0.003295571144711351, "bench_c_p1d": 0.009738980719571577, "ret_p1w": 0.10352114695590853, "ret_signed_p1w": 0.10352114695590853, "alpha_spy_p1w": 0.10691227222693223, "alpha_c_p1w": 0.10257099999526664, "bench_spy_p1w": -0.0033911252710236983, "bench_c_p1w": 0.0009501469606418844, "ret_p1m": 0.03697187177862071, "ret_signed_p1m": 0.03697187177862071, "alpha_spy_p1m": 0.10369245329173948, "alpha_c_p1m": 0.08970323420366555, "bench_spy_p1m": -0.06672058151311877, "bench_c_p1m": -0.052731362425044837, "ret_p3m": -0.10211266399588603, "ret_signed_p3m": -0.10211266399588603, "alpha_spy_p3m": -0.1003501437244182, "alpha_c_p3m": -0.14360484063403867, "bench_spy_p3m": -0.0017625202714678379, "bench_c_p3m": 0.041492176638152634, "ret_p6m": -0.43239432902261343, "ret_signed_p6m": -0.43239432902261343, "alpha_spy_p6m": -0.3409505122769446, "alpha_c_p6m": -0.3788815478597356, "bench_spy_p6m": -0.09144381674566882, "bench_c_p6m": -0.05351278116287783, "price_path": [0.2313, 0.244, 0.2514, 0.2282, 0.2349, 0.2204, 0.2246, 0.2415, 0.2563, 0.2313, 0.3137, 0.2764, 0.2764, 0.2606, 0.2616, 0.2824, 0.2521, 0.2437, 0.2454, 0.2613, 0.2553, 0.3377, 0.3049, 0.3049, 0.3053, 0.2754, 0.244, 0.2454, 0.2641, 0.3032, 0.3173, 0.3021, 0.3373, 0.3708, 0.3289, 0.3218, 0.2908, 0.2606, 0.2299, 0.2088, 0.2169, 0.2169, 0.1986, 0.2144, 0.1982, 0.1292, 0.1641, 0.1901, 0.2194, 0.1887, 0.2042, 0.1827, 0.107, 0.1806, 0.1574, 0.1842, 0.2137, 0.2715, 0.3285, 0.2849, 0.1504, 0.082, 0.0194, 0.0, -0.0141, 0.0778, 0.0475, 0.1486, 0.1035, 0.1165, 0.1021, 0.106, 0.0806, 0.0479, -0.0018, -0.0451, -0.0046, -0.018, -0.0549, -0.0261, 0.0285, 0.057, 0.0796, 0.0176, 0.037, 0.0183, -0.0004, -0.0004, 0.0412, 0.0134, 0.018, 0.0194, 0.0627, 0.0479, 0.0465, 0.0525, 0.0155, 0.0151, 0.0782, 0.0268, 0.0468, 0.0155, 0.0155, -0.0785, -0.0673, -0.0986, -0.0634, -0.0018, 0.0444, 0.0655, 0.1229, 0.1232, 0.0852, 0.0912, 0.0813, 0.0915, 0.0894, 0.0458, 0.0736, 0.0324, 0.087, -0.0257, -0.0701, -0.0972, -0.0602, -0.0799, -0.1021, -0.0553, -0.0415, 0.0095, -0.0377, -0.0285, -0.0588, -0.1095, -0.156, -0.1771, -0.1951, -0.1905, -0.2049, -0.1757, -0.1856, -0.1873, -0.1627, -0.1637, -0.1134, -0.1134, -0.1415, -0.1197, -0.1313, -0.1201, -0.1155, -0.1165, -0.1363, -0.1285, -0.1229, -0.0993, -0.1458, -0.1718, -0.1335, -0.1239, -0.0898, -0.0908, -0.1201, -0.1014, -0.057, -0.0567, -0.0567, -0.1134, -0.1264, -0.1556, -0.1732, -0.1732, -0.1356, -0.1352, -0.1687, -0.2099, -0.2335, -0.2606, -0.2757, -0.3127, -0.3268, -0.3426, -0.3426, -0.3806, -0.394, -0.3637, -0.3715, -0.4081, -0.432, -0.4324]}
{"unit_id": "orig:476411060954857472", "ticker_idx": 0, "ts": "2014-06-10T17:10:22+00:00", "symbol": "AVAV", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Nice win for $AVAV", "tweet_type": "news_reaction", "timeline": "unspecified", "summary": "FAA approval of commercial drone flights for BP seen as a positive catalyst for AeroVironment.", "resolved_tickers": ["AVAV"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLI", "bench_c_reason": "industry='Aerospace & Defense'", "bench_c_industry": "Aerospace & Defense", "unit_kind": "original", "lang": "en", "tweet_text": "Nice win for $AVAV. RT @ARKInvest: @ARKindu RT @CNN: The FAA approved the first commercial drone flights for BP... http://t.co/Hqp2hXQqss", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.04487722661282667, "ret_signed_m1d": -0.04487722661282667, "alpha_spy_m1d": -0.044775106804490594, "alpha_c_m1d": -0.04722133703751885, "bench_spy_m1d": -0.00010211980833607637, "bench_c_m1d": 0.0023441104246921807, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.018910583626066235, "ret_signed_p1d": -0.018910583626066235, "alpha_spy_p1d": -0.01543401610613182, "alpha_c_p1d": -0.011517816988414253, "bench_spy_p1d": -0.003476567519934415, "bench_c_p1d": -0.007392766637651982, "ret_p1w": -0.07056167029258498, "ret_signed_p1w": -0.07056167029258498, "alpha_spy_p1w": -0.0666250855461481, "alpha_c_p1w": -0.054874792496052205, "bench_spy_p1w": -0.0039365847464368775, "bench_c_p1w": -0.015686877796532772, "ret_p1m": -0.010725404031670882, "ret_signed_p1m": -0.010725404031670882, "alpha_spy_p1m": -0.023325248136413013, "alpha_c_p1m": 0.009708258958020077, "bench_spy_p1m": 0.01259984410474213, "bench_c_p1m": -0.02043366298969096, "ret_p3m": -0.1507197320517042, "ret_signed_p3m": -0.1507197320517042, "alpha_spy_p3m": -0.18381668543917495, "alpha_c_p3m": -0.13481464658361797, "bench_spy_p3m": 0.03309695338747076, "bench_c_p3m": -0.015905085468086222, "ret_p6m": -0.23821621398136605, "ret_signed_p6m": -0.23821621398136605, "alpha_spy_p6m": -0.311132912520632, "alpha_c_p6m": -0.283187056450794, "bench_spy_p6m": 0.07291669853926597, "bench_c_p6m": 0.04497084246942795, "price_path": [0.0384, 0.0505, 0.0435, 0.0923, 0.0926, 0.0946, 0.1078, 0.1352, 0.1598, 0.1499, 0.0977, 0.1061, 0.136, 0.1569, 0.1682, 0.1149, 0.0548, 0.0209, 0.0206, 0.0564, 0.0045, -0.0152, -0.0087, 0.0008, 0.0096, 0.024, 0.024, 0.0378, 0.0119, 0.0133, -0.0034, -0.0463, -0.0612, -0.0548, -0.0469, -0.0449, -0.0497, -0.0404, -0.0601, -0.0677, -0.0909, -0.0655, -0.0169, -0.0353, -0.0627, -0.0847, -0.1101, -0.1027, -0.1293, -0.1341, -0.1098, -0.0819, -0.0819, -0.0889, -0.0844, -0.0943, -0.0934, -0.0948, -0.0985, -0.0895, -0.0632, -0.0567, -0.0449, 0.0, -0.0189, -0.0347, -0.0223, -0.0192, -0.0706, -0.0909, -0.1109, -0.1132, -0.1019, -0.1092, -0.1002, -0.1143, -0.114, -0.1025, -0.0632, -0.0948, -0.0971, -0.0971, -0.1098, -0.1262, -0.0107, -0.0361, -0.0564, -0.0028, -0.0291, -0.0294, -0.0666, -0.046, -0.0454, -0.0384, -0.0469, -0.0644, -0.0804, -0.0855, -0.0799, -0.0768, -0.1112, -0.1174, -0.1276, -0.1338, -0.1459, -0.1502, -0.1281, -0.1152, -0.1329, -0.1214, -0.1197, -0.1222, -0.0929, -0.1056, -0.1056, -0.1036, -0.1058, -0.1044, -0.0974, -0.1081, -0.1152, -0.1098, -0.1098, -0.0604, -0.0502, -0.1375, -0.1507, -0.136, -0.1304, -0.114, -0.1019, -0.1166, -0.1025, -0.1152, -0.1126, -0.1146, -0.1408, -0.1527, -0.1677, -0.142, -0.1428, -0.1185, -0.14, -0.1513, -0.1741, -0.1741, -0.151, -0.1643, -0.2027, -0.1857, -0.2041, -0.2168, -0.2297, -0.2012, -0.1888, -0.173, -0.2041, -0.197, -0.188, -0.2055, -0.1818, -0.1744, -0.1894, -0.1538, -0.1558, -0.1456, -0.1349, -0.1454, -0.1479, -0.1431, -0.1403, -0.1586, -0.173, -0.1685, -0.1598, -0.1586, -0.1764, -0.1806, -0.1595, -0.1767, -0.1626, -0.164, -0.1541, -0.1341, -0.2029, -0.2029, -0.2179, -0.2571, -0.2478, -0.2382]}
{"unit_id": "thread:1095298515557863424", "ticker_idx": 0, "ts": "2019-02-12T12:28:10+00:00", "symbol": "oil", "kind": "commodity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Oil demand will start to decline inexorably within two to three years.", "tweet_type": "prediction", "timeline": "years", "summary": "Bearish oil: EV adoption will cause inexorable demand decline within 2–3 years.", "resolved_tickers": ["USO"], "resolution_method": "etf", "resolution_reason": "Oil commodity; USO is standard ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "self_thread", "lang": "en", "tweet_text": "According to our @ARKInvest’s research, #oil demand will falter falter relative to expectations within the next two years thanks to #EVs.\n\n---\n\nWe see EVs scaling 20-fold globally during the next five years, from 1.3 million in 2018 to 26 million in 2023.\n\n---\n\nCommodity prices respond to changes in demand.  Oil demand will start to decline inexorably within two to three years.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.01344082621695164, "ret_signed_m1d": 0.01344082621695164, "alpha_spy_m1d": 0.0007447417947060719, "alpha_c_m1d": 0.0007447417947060719, "bench_spy_m1d": -0.012696084422245568, "bench_c_m1d": -0.012696084422245568, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.016129059824093295, "ret_signed_p1d": -0.016129059824093295, "alpha_spy_p1d": -0.01288223181243997, "alpha_c_p1d": -0.01288223181243997, "bench_spy_p1d": 0.0032468280116533244, "bench_c_p1d": 0.0032468280116533244, "ret_p1w": 0.0555555460605901, "ret_signed_p1w": -0.0555555460605901, "alpha_spy_p1w": -0.04187448909548608, "alpha_c_p1w": -0.04187448909548608, "bench_spy_p1w": 0.013681056965104021, "bench_c_p1w": 0.013681056965104021, "ret_p1m": 0.09229388414463435, "ret_signed_p1m": -0.09229388414463435, "alpha_spy_p1m": -0.06588018413180463, "alpha_c_p1m": -0.06588018413180463, "bench_spy_p1m": 0.02641370001282972, "bench_c_p1m": 0.02641370001282972, "ret_p3m": 0.1505376638123661, "ret_signed_p3m": -0.1505376638123661, "alpha_spy_p3m": -0.09483181513366867, "alpha_c_p3m": -0.09483181513366867, "bench_spy_p3m": 0.055705848678697434, "bench_c_p3m": 0.055705848678697434, "ret_p6m": -0.028673808171997717, "ret_signed_p6m": 0.028673808171997717, "alpha_spy_p6m": 0.08903545056421303, "alpha_c_p6m": 0.08903545056421303, "bench_spy_p6m": 0.06036164239221531, "bench_c_p6m": 0.06036164239221531, "price_path": [0.0735, 0.0815, 0.0878, 0.0099, 0.0323, 0.0323, -0.0296, -0.0197, -0.0188, -0.0448, -0.026, -0.0385, 0.0099, 0.0018, 0.0018, -0.0197, -0.0045, -0.0367, -0.0188, -0.0305, 0.0045, -0.0305, -0.0636, -0.1228, -0.1022, -0.129, -0.1425, -0.1676, -0.1676, -0.1129, -0.138, -0.1461, -0.1344, -0.1344, -0.1174, -0.1084, -0.0878, -0.078, -0.0591, -0.0099, -0.0054, -0.0233, -0.0421, -0.0143, -0.009, -0.0116, 0.0134, 0.0134, -0.0036, -0.0099, 0.0009, 0.0081, -0.0188, 0.0, 0.0215, 0.017, 0.0421, 0.0305, 0.0116, 0.0143, -0.0081, -0.0072, -0.0134, 0.0, 0.0161, 0.0287, 0.0493, 0.0493, 0.0556, 0.069, 0.0645, 0.0708, 0.0367, 0.0421, 0.0654, 0.0708, 0.0448, 0.0573, 0.0591, 0.0529, 0.0582, 0.0511, 0.0627, 0.0654, 0.0923, 0.095, 0.0932, 0.103, 0.1004, 0.1201, 0.1147, 0.0959, 0.0977, 0.1174, 0.1057, 0.1066, 0.1201, 0.1487, 0.1658, 0.164, 0.1577, 0.1783, 0.2007, 0.1944, 0.2016, 0.1891, 0.1918, 0.1864, 0.198, 0.19, 0.1935, 0.1935, 0.2249, 0.2357, 0.2258, 0.2124, 0.1729, 0.1855, 0.1909, 0.1846, 0.1487, 0.1532, 0.1711, 0.1407, 0.155, 0.1478, 0.1505, 0.1362, 0.1532, 0.1622, 0.1774, 0.172, 0.1783, 0.1765, 0.1416, 0.0833, 0.0959, 0.0959, 0.0959, 0.0968, 0.0538, -0.0054, -0.0152, 0.0, -0.0349, -0.009, 0.0063, -0.0045, -0.0045, -0.0466, -0.0251, -0.0197, -0.0314, 0.0081, 0.0152, 0.0618, 0.0726, 0.0762, 0.0753, 0.1013, 0.1013, 0.0789, 0.1004, 0.0484, 0.0547, 0.0547, 0.0708, 0.069, 0.0789, 0.1228, 0.1246, 0.1219, 0.1022, 0.0815, 0.0529, 0.0358, 0.0457, 0.0466, 0.0582, 0.0385, 0.0394, 0.0439, 0.0591, 0.0824, 0.0789, 0.0134, 0.0287, 0.0188, -0.0018, -0.0287]}
{"unit_id": "orig:1893848190488850788", "ticker_idx": 0, "ts": "2025-02-24T02:19:29+00:00", "symbol": "equity markets", "kind": "index", "geography": "US", "sub_sector": null, "direction": "long", "conviction": "high", "explicit": false, "explicit_audit": "kept_implicit_alias_present", "polarity_reversed": false, "quote": "after recent downside volatility, equity markets soon will look beyond short-term uncertainty and reward strategies exposed to truly transformative innovation", "tweet_type": "analysis", "timeline": "months", "summary": "US equities will rebound beyond near-term uncertainty on AI/robotics/innovation; rates likely surprise lower short-term before animal spirits unleashed.", "resolved_tickers": ["SPY"], "resolution_method": "etf", "resolution_reason": "US equity markets; SPY is standard proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "original", "lang": "en", "tweet_text": "During the uncertainty associated with the transition from Biden to Trump, the velocity (V) of money is rolling over, suggesting that monetary policy is tighter than the Fed may understand. I discuss this hypothesis in our In the Know webinar (link below), including charts.\n\nV can either turbocharge the impact of money on GDP,  as it did during COVID, or detract from money growth, as it is starting to do now. On a year-over-year basis, V growth peaked at 11% in 2022 and has dropped to ~1%. During December, growth in M2 was 3.9% YOY, so V growth added another 1%, taking nominal GDP growth to ~5%. \n\nMore important at the moment, V declined ~1% sequentially from the third quarter to fourth quarter and probably is depressing GDP growth in the first quarter, which makes sense. Velocity can drop if individuals and companies become uncertain, fearful, or cautious. \n\nTargeting waste, abuse, and fraud in government, @DOGE has put  federal government employees on notice and on edge, but the impact could be much more pervasive. Federal government employment accounts for only 1.9% of total employment in the US, but state and local governments, education, health care, and social services account for another ~28%.  \n\nIn other words, today nearly a third of the labor force, and perhaps their families, could be holding back on spending until they see the impact of rapid policy changes. While we believe the changes will be net positive for the economy - perhaps massively so - the short term uncertainty is palpable.  After benefiting from preemptive buying in the fourth quarter to get ahead of tariff hikes, Walmart shocked the market last week by lowering guidance for same-store sales growth in 2025 to 3-4%, ~30% below its 5% gain in 2024.\n\nI believe that the US has entered the last stage of the rolling recession that has been in place since the Fed hiked interest rates by a record-breaking ~24-fold in little more than a year starting in 2022. The consumer is the last sector to succumb. As this Administration succeeds in pushing funding from the federal sector to state and local governments, economic growth should begin to rebound during the second half of this year.\n\nAs a result, interest rates are likely to surprise on the low side of expectations in the short term while the Trump Administration puts in place policies that eventually will increase consumer and business confidence: they are likely to unleash the animal spirits and productivity that have been building thanks to breakthroughs in robotics, energy storage, AI, blockchain technology, and multiomics sequencing.\n\nTurbocharged by AI, real growth should accelerate significantly from the 3% in place since 1900 during the next five years. We believe that, after recent downside volatility, equity markets soon will look beyond short-term uncertainty and reward strategies exposed to truly transformative innovation.\n\nFull episode: https://t.co/YE8UswE61f", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.004571073205291043, "ret_signed_m1d": 0.004571073205291043, "alpha_spy_m1d": 0.0, "alpha_c_m1d": 0.0, "bench_spy_m1d": 0.004571073205291043, "bench_c_m1d": 0.004571073205291043, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.004973259631297022, "ret_signed_p1d": -0.004973259631297022, "alpha_spy_p1d": 0.0, "alpha_c_p1d": 0.0, "bench_spy_p1d": -0.004973259631297022, "bench_c_p1d": -0.004973259631297022, "ret_p1w": -0.022504813743308483, "ret_signed_p1w": -0.022504813743308483, "alpha_spy_p1w": 0.0, "alpha_c_p1w": 0.0, "bench_spy_p1w": -0.022504813743308483, "bench_c_p1w": -0.022504813743308483, "ret_p1m": -0.03352082333440232, "ret_signed_p1m": -0.03352082333440232, "alpha_spy_p1m": 0.0, "alpha_c_p1m": 0.0, "bench_spy_p1m": -0.03352082333440232, "bench_c_p1m": -0.03352082333440232, "ret_p3m": -0.020706328116729678, "ret_signed_p3m": -0.020706328116729678, "alpha_spy_p3m": 0.0, "alpha_c_p3m": 0.0, "bench_spy_p3m": -0.020706328116729678, "bench_c_p3m": -0.020706328116729678, "ret_p6m": 0.07773095107084349, "ret_signed_p6m": 0.07773095107084349, "alpha_spy_p6m": 0.0, "alpha_c_p6m": 0.0, "bench_spy_p6m": 0.07773095107084349, "bench_c_p6m": 0.07773095107084349, "price_path": [-0.0007, -0.0007, 0.0056, 0.0074, 0.0078, 0.0141, 0.0124, 0.0143, 0.0091, 0.006, 0.0138, 0.0085, 0.0083, 0.0126, 0.0085, -0.0216, -0.0219, -0.0101, -0.0042, 0.0068, 0.0068, 0.0069, -0.0037, -0.0151, -0.0186, -0.0186, -0.021, -0.0088, -0.0031, -0.0144, -0.0129, -0.0129, -0.028, -0.0265, -0.0252, -0.0074, -0.0093, 0.0006, 0.0006, 0.0098, 0.0155, 0.021, 0.018, 0.0036, 0.0122, 0.0077, 0.0131, 0.0077, 0.0009, 0.0077, 0.0117, 0.0153, 0.006, 0.0128, 0.0136, 0.0103, 0.021, 0.0209, 0.0209, 0.0239, 0.0263, 0.0221, 0.0046, 0.0, -0.005, -0.0045, -0.0204, -0.0051, -0.0225, -0.0341, -0.0237, -0.041, -0.0356, -0.0613, -0.0691, -0.0642, -0.0767, -0.0576, -0.0503, -0.0606, -0.0504, -0.0531, -0.0528, -0.0358, -0.0335, -0.0451, -0.0476, -0.0668, -0.0605, -0.0579, -0.0519, -0.0986, -0.1514, -0.1529, -0.1662, -0.0786, -0.119, -0.1033, -0.0946, -0.0971, -0.1172, -0.1159, -0.1159, -0.1369, -0.1145, -0.1008, -0.0818, -0.0752, -0.0749, -0.069, -0.0687, -0.0621, -0.0481, -0.0536, -0.0615, -0.0576, -0.051, -0.0522, -0.0209, -0.0144, -0.0131, -0.0083, -0.002, -0.001, -0.0043, -0.0211, -0.0207, -0.0274, -0.0274, -0.0072, -0.0129, -0.009, -0.0101, -0.0045, 0.0011, 0.0009, -0.004, 0.0062, 0.0072, 0.0129, 0.01, 0.014, 0.0027, 0.0122, 0.0035, 0.0034, 0.0034, 0.001, 0.0109, 0.0221, 0.0227, 0.0307, 0.0358, 0.0407, 0.0404, 0.0451, 0.0534, 0.0534, 0.0455, 0.0449, 0.0512, 0.0542, 0.0505, 0.0525, 0.048, 0.0515, 0.0579, 0.0571, 0.0591, 0.0593, 0.0683, 0.0687, 0.0732, 0.0729, 0.0701, 0.0687, 0.0647, 0.0473, 0.0632, 0.0578, 0.0659, 0.065, 0.0733, 0.0712, 0.0826, 0.0863, 0.0864, 0.0838, 0.0836, 0.0777]}
{"unit_id": "quote:1952594250392306050", "ticker_idx": 0, "ts": "2025-08-05T04:55:21+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "we believe $TSLA will dominate personal transportation, transforming a low margin EV play into a high margin, recurring revenue SaaS play", "tweet_type": "prediction", "timeline": "years", "summary": "Long TSLA: robotaxi dominance transforms low-margin EV into high-margin recurring SaaS, with massive TAM vs current ridehail VMT share.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "Perspective! In the most penetrated US geographies, human-driven ridehail accounts for ~3% of vehicle miles traveled. In an autonomous world, we believe $TSLA will dominate personal transportation, transforming a low margin EV play into a high margin, recurring revenue SaaS play.", "reply_text": null, "parent_text": null, "quoted_text": "People often compare robotaxi to human-driven ridehail, but the opportunity is much bigger. \n\nIn US core counties, ridehail is only ~3% of VMT on average. Even in SF it’s only ~13%.\n\nThink bigger. Robotaxis will be everywhere.", "parent_author": null, "ret_m1d": 0.0017491854845381738, "ret_signed_m1d": 0.0017491854845381738, "alpha_spy_m1d": -0.003346616634295252, "alpha_c_m1d": 0.0030283275746083582, "bench_spy_m1d": 0.005095802118833426, "bench_c_m1d": -0.0012791420900701844, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.03624644466558724, "ret_signed_p1d": 0.03624644466558724, "alpha_spy_p1d": 0.02858666640178864, "alpha_c_p1d": 0.015461682650793396, "bench_spy_p1d": 0.0076597782637986, "bench_c_p1d": 0.020784762014793845, "ret_p1w": 0.10404248182878506, "ret_signed_p1w": 0.10404248182878506, "alpha_spy_p1w": 0.08060177247838807, "alpha_c_p1w": 0.06827438525615115, "bench_spy_p1w": 0.023440709350396993, "bench_c_p1w": 0.03576809657263391, "ret_p1m": 0.08217800925392771, "ret_signed_p1m": 0.08217800925392771, "alpha_spy_p1m": 0.05706529496887147, "alpha_c_p1m": 0.02722404322641614, "bench_spy_p1m": 0.025112714285056237, "bench_c_p1m": 0.05495396602751157, "ret_p3m": 0.47888052524397406, "ret_signed_p3m": 0.47888052524397406, "alpha_spy_p3m": 0.38973457003445544, "alpha_c_p3m": 0.3809263253450379, "bench_spy_p3m": 0.08914595520951862, "bench_c_p3m": 0.09795419989893617, "ret_p6m": 0.39757705930633414, "ret_signed_p6m": 0.39757705930633414, "alpha_spy_p6m": 0.28381583529443, "alpha_c_p6m": 0.2808943572108573, "bench_spy_p6m": 0.11376122401190414, "bench_c_p6m": 0.11668270209547682, "price_path": [-0.0774, -0.0339, 0.0313, 0.0821, 0.1262, 0.1105, 0.1336, 0.1081, 0.1137, 0.0839, 0.1047, 0.0992, 0.0992, 0.1755, 0.1561, 0.161, 0.1222, 0.11, 0.1152, 0.0756, -0.0778, -0.044, -0.0005, 0.0563, 0.0574, 0.0337, 0.0537, 0.0661, 0.0247, 0.0432, 0.0432, 0.0435, 0.1294, 0.1028, 0.061, 0.0553, 0.0483, 0.029, -0.0259, 0.0224, 0.0215, 0.0215, -0.0479, -0.0353, -0.0416, 0.0037, 0.0155, 0.0265, 0.0067, 0.0419, 0.0346, 0.0678, 0.064, 0.0758, 0.0772, -0.0111, 0.0238, 0.0546, 0.0404, 0.0334, -0.0015, -0.0197, 0.0017, 0.0, 0.0362, 0.0439, 0.0678, 0.0982, 0.104, 0.0993, 0.087, 0.0707, 0.0856, 0.0667, 0.0492, 0.0369, 0.1014, 0.1227, 0.1391, 0.1324, 0.1207, 0.0815, 0.0815, 0.0669, 0.0822, 0.0966, 0.1364, 0.1221, 0.1239, 0.1266, 0.1946, 0.2825, 0.3282, 0.3657, 0.3794, 0.3503, 0.3801, 0.4065, 0.3794, 0.4343, 0.3714, 0.4265, 0.4356, 0.4405, 0.4883, 0.4123, 0.3923, 0.4682, 0.4029, 0.421, 0.4108, 0.3394, 0.412, 0.3904, 0.4095, 0.3888, 0.423, 0.4493, 0.4337, 0.4219, 0.4543, 0.4049, 0.4655, 0.4918, 0.4949, 0.4256, 0.4789, 0.5171, 0.439, 0.4967, 0.4444, 0.3913, 0.4422, 0.424, 0.3948, 0.3021, 0.3098, 0.3246, 0.2997, 0.3086, 0.2802, 0.2668, 0.3533, 0.3585, 0.3818, 0.3818, 0.3934, 0.3933, 0.3904, 0.4471, 0.4723, 0.4738, 0.4239, 0.442, 0.4623, 0.4476, 0.4867, 0.5396, 0.5868, 0.5135, 0.5657, 0.5587, 0.5831, 0.5728, 0.5723, 0.5723, 0.5392, 0.4889, 0.472, 0.4567, 0.4567, 0.419, 0.463, 0.4024, 0.3974, 0.4116, 0.4415, 0.4543, 0.4486, 0.4226, 0.4206, 0.4171, 0.4171, 0.358, 0.3975, 0.4556, 0.4546, 0.4097, 0.3958, 0.3976]}
{"unit_id": "quote:862077671811031042", "ticker_idx": 0, "ts": "2017-05-09T22:51:48+00:00", "symbol": "NVDA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "AI inference is a billion or trillion times less complicated than training...so GPUs win!", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish NVDA: author argues inference complexity favors GPUs, countering the 'many chips will compete' narrative.", "resolved_tickers": ["NVDA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SMH", "bench_c_reason": "industry='Semiconductors'", "bench_c_industry": "Semiconductors", "unit_kind": "quote", "lang": "en", "tweet_text": "He also said that #AI inference is a billion or trillion times less complicated than training...so GPUs win! https://t.co/CWL8rhYtrQ", "reply_text": null, "parent_text": null, "quoted_text": "Jensen is saying many chips will compete for deep learning inference. Here is a slide I made earlier on the same idea. $NVDA https://t.co/P2zFOPxEq8", "parent_author": null, "ret_m1d": -0.0016514386942014792, "ret_signed_m1d": -0.0016514386942014792, "alpha_spy_m1d": -0.0025702265086733345, "alpha_c_m1d": 0.008298250049547873, "bench_spy_m1d": 0.0009187878144718553, "bench_c_m1d": -0.009949688743749352, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.17825900356279045, "ret_signed_p1d": 0.17825900356279045, "alpha_spy_p1d": 0.17646317097325004, "alpha_c_p1d": 0.16560710030735626, "bench_spy_p1d": 0.0017958325895404137, "bench_c_p1d": 0.012651903255434194, "ret_p1w": 0.32902649844742604, "ret_signed_p1w": 0.32902649844742604, "alpha_spy_p1w": 0.3263536945740835, "alpha_c_p1w": 0.2877540216640808, "bench_spy_p1w": 0.0026728038733425663, "bench_c_p1w": 0.041272476783345224, "ret_p1m": 0.4501361983695271, "ret_signed_p1m": 0.4501361983695271, "alpha_spy_p1m": 0.4325118902806153, "alpha_c_p1m": 0.37041632899510124, "bench_spy_p1m": 0.0176243080889118, "bench_c_p1m": 0.07971986937442588, "ret_p3m": 0.6260551393221163, "ret_signed_p3m": 0.6260551393221163, "alpha_spy_p3m": 0.5877301052350297, "alpha_c_p3m": 0.5734818155135644, "bench_spy_p3m": 0.03832503408708665, "bench_c_p3m": 0.05257332380855195, "ret_p6m": 1.0167157796136697, "ret_signed_p6m": 1.0167157796136697, "alpha_spy_p6m": 0.93072460400401, "alpha_c_p6m": 0.7719057990034033, "bench_spy_p6m": 0.08599117560965963, "bench_c_p6m": 0.24480998061026638, "price_path": [0.1291, 0.1024, 0.0515, 0.0554, 0.0575, 0.0406, 0.0404, 0.0404, 0.0776, 0.076, -0.0238, -0.0144, 0.0143, -0.0142, -0.0015, -0.0383, -0.0438, -0.0512, -0.0408, -0.0425, -0.0427, -0.0371, -0.0106, -0.0113, -0.0038, 0.0085, 0.0304, 0.0632, 0.0289, 0.0498, 0.0403, 0.044, 0.0516, 0.0461, 0.0427, 0.0628, 0.0582, 0.0528, -0.021, -0.0283, -0.0212, -0.0254, -0.0502, -0.0468, -0.0547, -0.0724, -0.0724, -0.036, -0.0355, -0.0317, -0.0163, -0.0122, 0.0001, 0.0175, 0.0105, 0.0262, 0.0132, 0.0359, 0.0052, 0.0127, 0.0088, 0.0089, -0.0017, 0.0, 0.1783, 0.2289, 0.2424, 0.3047, 0.329, 0.2407, 0.2927, 0.3225, 0.3508, 0.3326, 0.3475, 0.3445, 0.3793, 0.3793, 0.4088, 0.4037, 0.4038, 0.3968, 0.4393, 0.4328, 0.4501, 0.5554, 0.4548, 0.4584, 0.4723, 0.4754, 0.4817, 0.4744, 0.5299, 0.5276, 0.5508, 0.5401, 0.4959, 0.4796, 0.4254, 0.4757, 0.4264, 0.4058, 0.3549, 0.3549, 0.3911, 0.3953, 0.4272, 0.4947, 0.5159, 0.5803, 0.5621, 0.6041, 0.5973, 0.6139, 0.6055, 0.6289, 0.6347, 0.6157, 0.608, 0.6265, 0.5729, 0.5986, 0.5803, 0.5996, 0.5986, 0.619, 0.6261, 0.676, 0.6561, 0.6737, 0.602, 0.5167, 0.6376, 0.6238, 0.606, 0.5702, 0.5705, 0.5477, 0.5821, 0.6138, 0.6078, 0.5944, 0.6057, 0.6031, 0.6126, 0.6492, 0.6591, 0.6591, 0.6148, 0.6139, 0.6214, 0.5932, 0.6449, 0.6508, 0.6582, 0.6488, 0.753, 0.8255, 0.8235, 0.8088, 0.7594, 0.7422, 0.6644, 0.6737, 0.7104, 0.7099, 0.74, 0.7422, 0.7458, 0.7604, 0.7595, 0.7646, 0.8044, 0.8389, 0.8585, 0.8593, 0.894, 0.9265, 0.9247, 0.9231, 0.9252, 0.9165, 0.9137, 0.9338, 0.8849, 0.9047, 0.9647, 0.984, 1.0129, 1.0167]}
{"unit_id": "quote:1131297777907056641", "ticker_idx": 0, "ts": "2019-05-22T20:36:23+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "battle test @ARKInvest's bull and bear cases for $TSLA. We want to battle test the assumptions behind our original research and ideas", "tweet_type": "prediction", "timeline": "years", "summary": "Endorses ARK's TSLA bull/bear valuation model; bullish long-term on TSLA as transportation transforms profoundly over coming years.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "Please join us on github and battle test @ARKInvest’s bull and bear cases for $TSLA.  We want to battle test the assumptions behind our original research and ideas, and to help investors understand how profoundly transportation will change in the next few years!", "reply_text": null, "parent_text": null, "quoted_text": "You've seen our $TSLA valuation. Now, see for yourself how we got there. #Tesla  https://t.co/Ur8AocfK6e", "parent_author": null, "ret_m1d": 0.06407923695765194, "ret_signed_m1d": 0.06407923695765194, "alpha_spy_m1d": 0.06099872399821993, "alpha_c_m1d": 0.05370446520475669, "bench_spy_m1d": 0.0030805129594320135, "bench_c_m1d": 0.010374771752895251, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.014320552722358215, "ret_signed_p1d": 0.014320552722358215, "alpha_spy_p1d": 0.02653953730710279, "alpha_c_p1d": 0.0267006813543611, "bench_spy_p1d": -0.012218984584744574, "bench_c_p1d": -0.012380128632002885, "ret_p1w": -0.014891332197811247, "ret_signed_p1w": -0.014891332197811247, "alpha_spy_p1w": 0.01087660779024291, "alpha_c_p1w": 0.011438199214178324, "bench_spy_p1w": -0.025767939988054156, "bench_c_p1w": -0.02632953141198957, "ret_p1m": 0.13952151311634897, "ret_signed_p1m": 0.13952151311634897, "alpha_spy_p1m": 0.10370641363332189, "alpha_c_p1m": 0.08904222608928936, "bench_spy_p1m": 0.03581509948302708, "bench_c_p1m": 0.050479287027059616, "ret_p3m": 0.1769313945337585, "ret_signed_p3m": 0.1769313945337585, "alpha_spy_p3m": 0.14849693036249745, "alpha_c_p3m": 0.15030029770312248, "bench_spy_p3m": 0.028434464171261054, "bench_c_p3m": 0.026631096830636025, "ret_p6m": 0.8126394475864118, "ret_signed_p6m": 0.8126394475864118, "alpha_spy_p6m": 0.7185951455094584, "alpha_c_p6m": 0.7492482703912495, "bench_spy_p6m": 0.09404430207695347, "bench_c_p6m": 0.0633911771951623, "price_path": [0.5291, 0.5502, 0.5455, 0.6331, 0.6597, 0.5295, 0.4806, 0.4349, 0.4333, 0.4351, 0.4743, 0.5095, 0.4702, 0.4993, 0.5045, 0.4291, 0.3983, 0.3878, 0.4196, 0.4218, 0.3725, 0.3512, 0.3894, 0.426, 0.4456, 0.4521, 0.5004, 0.4833, 0.5141, 0.3894, 0.4267, 0.4175, 0.4129, 0.4324, 0.3927, 0.389, 0.3821, 0.4184, 0.4073, 0.4178, 0.4178, 0.3633, 0.3693, 0.3421, 0.2849, 0.22, 0.2529, 0.2385, 0.2142, 0.2665, 0.3233, 0.3249, 0.2819, 0.2704, 0.2555, 0.2428, 0.1779, 0.2054, 0.2035, 0.1847, 0.095, 0.0655, 0.0641, 0.0, 0.0143, -0.0109, -0.0109, -0.0209, -0.0149, -0.0234, -0.0393, -0.0714, 0.0045, 0.02, 0.0686, 0.0611, 0.1046, 0.1264, 0.0858, 0.1099, 0.1151, 0.1676, 0.1661, 0.1749, 0.1395, 0.1511, 0.1604, 0.1402, 0.1377, 0.1562, 0.1594, 0.1787, 0.1651, 0.2188, 0.2188, 0.2095, 0.1951, 0.1937, 0.2397, 0.238, 0.2716, 0.3153, 0.3095, 0.3224, 0.3155, 0.3396, 0.3266, 0.3499, 0.3744, 0.1873, 0.1832, 0.2233, 0.257, 0.2536, 0.2134, 0.2159, 0.1847, 0.1973, 0.2111, 0.2364, 0.2194, 0.1882, 0.2193, 0.1395, 0.1189, 0.1412, 0.1769, 0.1719, 0.1458, 0.1526, 0.0969, 0.1156, 0.1108, 0.1186, 0.1504, 0.1706, 0.1706, 0.1675, 0.145, 0.1912, 0.1801, 0.2027, 0.2221, 0.2821, 0.2757, 0.2722, 0.2598, 0.2701, 0.2634, 0.2795, 0.2485, 0.2516, 0.1581, 0.1866, 0.2585, 0.2563, 0.2498, 0.2696, 0.2615, 0.2091, 0.2008, 0.2334, 0.2455, 0.2688, 0.2699, 0.2862, 0.3333, 0.3381, 0.3477, 0.3593, 0.3332, 0.3153, 0.3261, 0.3214, 0.5549, 0.7025, 0.7004, 0.6407, 0.6345, 0.634, 0.6256, 0.6472, 0.6459, 0.6945, 0.741, 0.7493, 0.7905, 0.8156, 0.7958, 0.8126]}
{"unit_id": "quote:1944427694076101042", "ticker_idx": 0, "ts": "2025-07-13T16:04:22+00:00", "symbol": "ETH-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "the Ethereum Foundation does seem to be proposing the right moves for scalability and privacy to maintain its lead in the institutional world", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Endorses Ethereum's zk integration as the right moves for scalability and privacy; implicitly bullish on ETH's institutional position.", "resolved_tickers": ["ETH-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "I can’t say I understand all of the details here, but the Ethereum Foundation does seem to be proposing the right moves for scalability and privacy to maintain its lead in the institutional world.", "reply_text": null, "parent_text": null, "quoted_text": "Yesterday, the Ethereum Foundation (EF) published a blog announcing intent to go all-in on integrating zero-knowledge (zk) into the Ethereum L1: https://t.co/HfhaMZruhV\nThis could be a major upgrade, with massive implications for scalability and privacy. 🧵:", "parent_author": null, "ret_m1d": -0.01840628680064349, "ret_signed_m1d": -0.01840628680064349, "alpha_spy_m1d": -0.016501705224399088, "alpha_c_m1d": null, "bench_spy_m1d": -0.0019045815762444018, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.04199272686615596, "ret_signed_p1d": 0.04199272686615596, "alpha_spy_p1d": 0.04626599201035264, "alpha_c_p1d": null, "bench_spy_p1d": -0.004273265144196681, "bench_c_p1d": null, "ret_p1w": 0.24889916578118942, "ret_signed_p1w": 0.24889916578118942, "alpha_spy_p1w": 0.24256123293539789, "alpha_c_p1w": null, "bench_spy_p1w": 0.0063379328457915385, "bench_c_p1w": null, "ret_p1m": 0.5235281464284312, "ret_signed_p1m": 0.5235281464284312, "alpha_spy_p1m": 0.49491144620442884, "alpha_c_p1m": null, "bench_spy_p1m": 0.02861670022400231, "bench_c_p1m": null, "ret_p3m": 0.449928601434777, "ret_signed_p3m": 0.449928601434777, "alpha_spy_p3m": 0.3727679756467839, "alpha_c_p3m": null, "bench_spy_p3m": 0.0771606257879931, "bench_c_p3m": null, "ret_p6m": 0.09378129637108934, "ret_signed_p6m": 0.09378129637108934, "alpha_spy_p6m": -0.019801829112986447, "alpha_c_p6m": null, "bench_spy_p6m": 0.11358312548407579, "bench_c_p6m": null, "price_path": [-0.4763, -0.4748, -0.4727, -0.4758, -0.4168, -0.404, -0.4127, -0.4071, -0.403, -0.4029, -0.4047, -0.3896, -0.3885, -0.3961, -0.3977, -0.3988, -0.2678, -0.2216, -0.1716, -0.1106, -0.1338, -0.1548, -0.1583, -0.1607, -0.1623, -0.153, -0.1159, -0.1616, -0.1491, -0.1162, -0.1099, -0.1263, -0.1604, -0.1348, -0.1394, -0.1343, -0.1981, -0.1779, -0.1101, -0.0663, -0.0796, -0.12, -0.144, -0.1569, -0.1668, -0.1623, -0.1632, -0.2011, -0.1963, -0.1876, -0.1971, -0.1982, -0.1956, -0.1749, -0.2016, -0.1467, -0.1402, -0.1675, -0.1561, -0.132, -0.0805, -0.0194, -0.0184, 0.0, 0.042, 0.1189, 0.1538, 0.1778, 0.2489, 0.2442, 0.2045, 0.2305, 0.2369, 0.2569, 0.2589, 0.2638, 0.2268, 0.1576, 0.2342, 0.1986, 0.2225, 0.299, 0.3307, 0.4027, 0.5235, 0.5784, 0.5093, 0.4734, 0.4311, 0.3518, 0.4384, 0.4015, 0.6033, 0.4512, 0.5267, 0.4945, 0.4957, 0.4469, 0.4318, 0.4354, 0.4769, 0.4266, 0.4293, 0.4297, 0.43, 0.4433, 0.4805, 0.5648, 0.5023, 0.4945, 0.5241, 0.5232, 0.4837, 0.3948, 0.3823, 0.3784, 0.2837, 0.3393, 0.3996, 0.3759, 0.4439, 0.4893, 0.4983, 0.5557, 0.4771, 0.5025, 0.4499, 0.2753, 0.4089, 0.369, 0.3233, 0.2925, 0.2719, 0.321, 0.2865, 0.2638, 0.2796, 0.3057, 0.3673, 0.3215, 0.2954, 0.2625, 0.2767, 0.1954, 0.0927, 0.1367, 0.0992, 0.14, 0.1842, 0.1334, 0.1327, 0.0728, 0.03, 0.0037, 0.0364, 0.0032, -0.0603, -0.0822, -0.0201, -0.0184, 0.0048, 0.0004, 0.0063, -0.0707, -0.0051, 0.0591, 0.0401, 0.0037, 0.0371, 0.1021, 0.1036, 0.0742, 0.0235, -0.0163, -0.0163, -0.0604, -0.0618, -0.0117, -0.0024, -0.0166, -0.0225, -0.0364, -0.0291, -0.0262, -0.0139, -0.0154, -0.0043, 0.0369, 0.0706, 0.0938]}
{"unit_id": "quote:1349489503799537670", "ticker_idx": 0, "ts": "2021-01-13T22:52:24+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$TSLA business model is doing the same thing, giving it a lead in the #EV/AV market that will be difficult for others to catch", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish TSLA: vertical integration creating durable competitive moat in EV/AV that rivals will struggle to close.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "#Square business model illustrates that vertical integration can create moats, or barriers to entry, and deliver superior financial results. $TSLA business model is doing the same thing, giving it a lead in the #EV/AV market that will be difficult for others to catch.", "reply_text": null, "parent_text": null, "quoted_text": "Square's transaction margin is rising as closed-loop transactions take more share of GPV.\n\nWhile this makes up a small part of Square today and Square/fintech co's make up small part of payments today, it offers a glimpse of the value of controlling both ends of the transaction. https://t.co/yAEtD68RZq", "parent_author": null, "ret_m1d": -0.005816916397819338, "ret_signed_m1d": -0.005816916397819338, "alpha_spy_m1d": -0.0031312166377326367, "alpha_c_m1d": -0.005876171136021235, "bench_spy_m1d": -0.0026856997600867016, "bench_c_m1d": 5.9254738201897084e-05, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.011013523157297866, "ret_signed_p1d": -0.011013523157297866, "alpha_spy_p1d": -0.007511712478631027, "alpha_c_p1d": -0.004650454042041119, "bench_spy_p1d": -0.003501810678666839, "bench_c_p1d": -0.0063630691152567476, "ret_p1w": -0.004634802746035449, "ret_signed_p1w": -0.004634802746035449, "alpha_spy_p1w": -0.01543034041898439, "alpha_c_p1w": -0.014922220409399722, "bench_spy_p1w": 0.01079553767294894, "bench_c_p1w": 0.010287417663364273, "ret_p1m": -0.05003452474787928, "ret_signed_p1m": -0.05003452474787928, "alpha_spy_p1m": -0.07878726471836806, "alpha_c_p1m": -0.061451947306858656, "bench_spy_p1m": 0.028752739970488772, "bench_c_p1m": 0.011417422558979373, "ret_p3m": -0.17840384868430925, "ret_signed_p3m": -0.17840384868430925, "alpha_spy_p3m": -0.26581593118272206, "alpha_c_p3m": -0.23329986135157144, "bench_spy_p3m": 0.08741208249841281, "bench_c_p3m": 0.054896012667262184, "ret_p6m": -0.23595232798810517, "ret_signed_p6m": -0.23595232798810517, "alpha_spy_p6m": -0.37801967375457834, "alpha_c_p6m": -0.314424059313113, "bench_spy_p6m": 0.14206734576647317, "bench_c_p6m": 0.07847173132500784, "price_path": [-0.4854, -0.4958, -0.5062, -0.5053, -0.5017, -0.5077, -0.5081, -0.503, -0.5248, -0.5192, -0.5458, -0.5312, -0.5039, -0.5073, -0.4873, -0.4968, -0.507, -0.5197, -0.5118, -0.5181, -0.5219, -0.5224, -0.4831, -0.4304, -0.4157, -0.427, -0.3892, -0.35, -0.3282, -0.3282, -0.3144, -0.3357, -0.3156, -0.3343, -0.3055, -0.2989, -0.2489, -0.2394, -0.2925, -0.2661, -0.2861, -0.2511, -0.2588, -0.2711, -0.2323, -0.1866, -0.2394, -0.2505, -0.2439, -0.2255, -0.2255, -0.2232, -0.2205, -0.1868, -0.1741, -0.1741, -0.1459, -0.1396, -0.1152, -0.0449, 0.03, -0.0506, -0.0058, 0.0, -0.011, -0.0331, -0.0331, -0.0115, -0.0046, -0.011, -0.0091, 0.0309, 0.0336, 0.0114, -0.0222, -0.0713, -0.0171, 0.0215, 0.0003, -0.0052, -0.0026, 0.0105, -0.0058, -0.058, -0.05, -0.0448, -0.0448, -0.0681, -0.0658, -0.0785, -0.0856, -0.1638, -0.1821, -0.1315, -0.2015, -0.2094, -0.1592, -0.1966, -0.2355, -0.2727, -0.3002, -0.3411, -0.2116, -0.2181, -0.1812, -0.1881, -0.1714, -0.2078, -0.1786, -0.2355, -0.2335, -0.2158, -0.225, -0.2623, -0.2505, -0.2759, -0.2845, -0.2561, -0.2183, -0.2255, -0.2255, -0.1912, -0.1905, -0.2147, -0.1997, -0.2076, -0.1784, -0.1078, -0.143, -0.1353, -0.1342, -0.1636, -0.1585, -0.1291, -0.1577, -0.1463, -0.136, -0.1752, -0.1873, -0.2076, -0.1697, -0.1984, -0.2116, -0.2147, -0.2234, -0.2131, -0.2638, -0.2776, -0.3096, -0.3309, -0.3098, -0.3249, -0.3237, -0.3405, -0.3132, -0.3201, -0.2902, -0.2923, -0.2754, -0.2617, -0.2682, -0.2682, -0.2698, -0.2918, -0.3295, -0.2989, -0.2918, -0.2936, -0.2992, -0.2859, -0.2862, -0.2771, -0.2985, -0.2921, -0.2783, -0.2705, -0.2734, -0.27, -0.2316, -0.2043, -0.2136, -0.1939, -0.2032, -0.2045, -0.2066, -0.2054, -0.2054, -0.228, -0.2455, -0.236]}
{"unit_id": "quote:917850121148256256", "ticker_idx": 0, "ts": "2017-10-10T20:31:36+00:00", "symbol": "NVDA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$NVDA is new DNA...New DNA usually wins", "tweet_type": "analysis", "timeline": "unspecified", "summary": "NVDA is disruptive new DNA vs INTC old DNA; new DNA usually wins — bullish NVDA, bearish INTC.", "resolved_tickers": ["NVDA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SMH", "bench_c_reason": "industry='Semiconductors'", "bench_c_industry": "Semiconductors", "unit_kind": "quote", "lang": "en", "tweet_text": "$NVDA is new DNA, $INTC old...typical match-up in #DisruptiveInnovation.  New DNA usually wins. https://t.co/RMGSwxfppF", "reply_text": null, "parent_text": null, "quoted_text": "NVIDIA's speed of execution is matched only by the deafening silence from Intel–Mobileye.\nhttps://t.co/l0E94pXQMf", "parent_author": null, "ret_m1d": -0.018737173456953027, "ret_signed_m1d": -0.018737173456953027, "alpha_spy_m1d": -0.016105784866535133, "alpha_c_m1d": -0.013635608371517782, "bench_spy_m1d": -0.0026313885904178935, "bench_c_m1d": -0.0051015650854352446, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.01063882824957485, "ret_signed_p1d": 0.01063882824957485, "alpha_spy_p1d": 0.009067563990232008, "alpha_c_p1d": 0.003559260614568016, "bench_spy_p1d": 0.0015712642593428416, "bench_c_p1d": 0.007079567635006834, "ret_p1w": 0.04668412152636159, "ret_signed_p1w": 0.04668412152636159, "alpha_spy_p1w": 0.04334566401923934, "alpha_c_p1w": 0.02960970735435553, "bench_spy_p1w": 0.00333845750712225, "bench_c_p1w": 0.01707441417200606, "ret_p1m": 0.10707696211884077, "ret_signed_p1m": 0.10707696211884077, "alpha_spy_p1m": 0.08944287411558705, "alpha_c_p1m": 0.02118418217413276, "bench_spy_p1m": 0.017634088003253723, "bench_c_p1m": 0.08589277994470801, "ret_p3m": 0.14089684251477474, "ret_signed_p3m": 0.14089684251477474, "alpha_spy_p3m": 0.06157229179130552, "alpha_c_p3m": 0.05355706219173095, "bench_spy_p3m": 0.07932455072346922, "bench_c_p3m": 0.08733978032304379, "ret_p6m": 0.19905732315410152, "ret_signed_p6m": 0.19905732315410152, "alpha_spy_p6m": 0.1544881660723636, "alpha_c_p6m": 0.10548737107836659, "bench_spy_p6m": 0.04456915708173792, "bench_c_p6m": 0.09356995207573493, "price_path": [-0.1505, -0.1277, -0.1314, -0.1224, -0.1269, -0.1142, -0.111, -0.1213, -0.1256, -0.1155, -0.1447, -0.1307, -0.1406, -0.1301, -0.1307, -0.1196, -0.1157, -0.0886, -0.0994, -0.0898, -0.1288, -0.1752, -0.1094, -0.117, -0.1266, -0.1461, -0.1459, -0.1584, -0.1396, -0.1224, -0.1257, -0.133, -0.1268, -0.1282, -0.1231, -0.1032, -0.0978, -0.0978, -0.1218, -0.1224, -0.1183, -0.1336, -0.1055, -0.1023, -0.0982, -0.1034, -0.0467, -0.0073, -0.0084, -0.0164, -0.0432, -0.0526, -0.0949, -0.0898, -0.0699, -0.0701, -0.0538, -0.0526, -0.0506, -0.0427, -0.0432, -0.0404, -0.0187, 0.0, 0.0106, 0.0111, 0.03, 0.0476, 0.0467, 0.0458, 0.0469, 0.0422, 0.0407, 0.0516, 0.025, 0.0358, 0.0684, 0.0789, 0.0946, 0.0967, 0.09, 0.1046, 0.1096, 0.1223, 0.1071, 0.0868, 0.144, 0.1254, 0.1336, 0.1114, 0.12, 0.1187, 0.1331, 0.1435, 0.1384, 0.1384, 0.1492, 0.1342, 0.1161, 0.0404, 0.0631, 0.047, -0.0113, -0.0056, 0.0024, 0.0169, 0.0143, 0.031, 0.0108, -0.0139, -0.0123, 0.0146, 0.0482, 0.0387, 0.0424, 0.0376, 0.0343, 0.0343, 0.0458, 0.0443, 0.0456, 0.0249, 0.0249, 0.0559, 0.1254, 0.1313, 0.1409, 0.1759, 0.1755, 0.1848, 0.1869, 0.181, 0.181, 0.1658, 0.1903, 0.1888, 0.2188, 0.2378, 0.2654, 0.2489, 0.2519, 0.2888, 0.3075, 0.2856, 0.3019, 0.2738, 0.2369, 0.1319, 0.1948, 0.2119, 0.1521, 0.2292, 0.2078, 0.2322, 0.2787, 0.3056, 0.2915, 0.2915, 0.3193, 0.2792, 0.2834, 0.3034, 0.3069, 0.3041, 0.2826, 0.2307, 0.2536, 0.2489, 0.2834, 0.2817, 0.2782, 0.3002, 0.3237, 0.3128, 0.3183, 0.3215, 0.3275, 0.2773, 0.3228, 0.3174, 0.2818, 0.2347, 0.2957, 0.1952, 0.1731, 0.2274, 0.2274, 0.1716, 0.1943, 0.1991]}
{"unit_id": "quote:917850121148256256", "ticker_idx": 1, "ts": "2017-10-10T20:31:36+00:00", "symbol": "INTC", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$INTC old...typical match-up in #DisruptiveInnovation. New DNA usually wins", "tweet_type": "analysis", "timeline": "unspecified", "summary": "NVDA is disruptive new DNA vs INTC old DNA; new DNA usually wins — bullish NVDA, bearish INTC.", "resolved_tickers": ["INTC"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SMH", "bench_c_reason": "industry='Semiconductors'", "bench_c_industry": "Semiconductors", "unit_kind": "quote", "lang": "en", "tweet_text": "$NVDA is new DNA, $INTC old...typical match-up in #DisruptiveInnovation.  New DNA usually wins. https://t.co/RMGSwxfppF", "reply_text": null, "parent_text": null, "quoted_text": "NVIDIA's speed of execution is matched only by the deafening silence from Intel–Mobileye.\nhttps://t.co/l0E94pXQMf", "parent_author": null, "ret_m1d": 0.0052966675666410445, "ret_signed_m1d": -0.0052966675666410445, "alpha_spy_m1d": -0.007928056157058938, "alpha_c_m1d": -0.010398232652076289, "bench_spy_m1d": -0.0026313885904178935, "bench_c_m1d": -0.0051015650854352446, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.008827318146594099, "ret_signed_p1d": 0.008827318146594099, "alpha_spy_p1d": 0.01039858240593694, "alpha_c_p1d": 0.015906885781600932, "bench_spy_p1d": 0.0015712642593428416, "bench_c_p1d": 0.007079567635006834, "ret_p1w": 0.003530881145523468, "ret_signed_p1w": -0.003530881145523468, "alpha_spy_p1w": -0.0001924236384012179, "alpha_c_p1w": 0.01354353302648259, "bench_spy_p1w": 0.00333845750712225, "bench_c_p1w": 0.01707441417200606, "ret_p1m": 0.1847858541566707, "ret_signed_p1m": -0.1847858541566707, "alpha_spy_p1m": -0.16715176615341698, "alpha_c_p1m": -0.0988930742119627, "bench_spy_p1m": 0.017634088003253723, "bench_c_p1m": 0.08589277994470801, "ret_p3m": 0.13506046927932802, "ret_signed_p3m": -0.13506046927932802, "alpha_spy_p3m": -0.0557359185558588, "alpha_c_p3m": -0.04772068895628423, "bench_spy_p3m": 0.07932455072346922, "bench_c_p3m": 0.08733978032304379, "ret_p6m": 0.27685748811261557, "ret_signed_p6m": -0.27685748811261557, "alpha_spy_p6m": -0.23228833103087765, "alpha_c_p6m": -0.18328753603688064, "bench_spy_p6m": 0.04456915708173792, "bench_c_p6m": 0.09356995207573493, "price_path": [-0.1429, -0.1319, -0.1371, -0.1356, -0.1349, -0.1301, -0.1306, -0.1364, -0.1321, -0.1301, -0.1246, -0.1161, -0.1121, -0.0901, -0.0828, -0.0797, -0.0845, -0.0812, -0.0817, -0.0772, -0.0885, -0.0953, -0.0835, -0.0921, -0.0968, -0.113, -0.117, -0.1193, -0.1261, -0.1259, -0.1246, -0.1256, -0.1261, -0.1241, -0.1201, -0.1155, -0.115, -0.115, -0.1168, -0.0981, -0.1037, -0.1125, -0.0979, -0.0898, -0.0837, -0.0799, -0.0668, -0.0668, -0.061, -0.0651, -0.0618, -0.0623, -0.0628, -0.055, -0.0532, -0.0459, -0.0396, -0.0154, -0.0068, -0.0078, -0.003, -0.0005, 0.0053, 0.0, -0.0088, -0.0116, 0.0005, 0.0028, 0.0035, 0.0151, 0.0111, 0.0197, 0.0298, 0.0328, 0.0285, 0.0429, 0.1198, 0.119, 0.1473, 0.1781, 0.1879, 0.1687, 0.1848, 0.1868, 0.1848, 0.1746, 0.1564, 0.1607, 0.1635, 0.1533, 0.1581, 0.1323, 0.132, 0.1401, 0.1328, 0.1328, 0.1353, 0.1287, 0.1348, 0.115, 0.1376, 0.1335, 0.1287, 0.1021, 0.1023, 0.0929, 0.0998, 0.1077, 0.0993, 0.0995, 0.0975, 0.1305, 0.1736, 0.1934, 0.2066, 0.1863, 0.1848, 0.1848, 0.1691, 0.1698, 0.1726, 0.1711, 0.1711, 0.1886, 0.1483, 0.1272, 0.1351, 0.1351, 0.1066, 0.0782, 0.1013, 0.097, 0.097, 0.0945, 0.1262, 0.1285, 0.1371, 0.1607, 0.1685, 0.1546, 0.1493, 0.2705, 0.268, 0.2378, 0.2213, 0.2089, 0.1708, 0.1295, 0.1471, 0.1545, 0.0919, 0.1226, 0.1451, 0.1356, 0.1591, 0.1729, 0.1637, 0.1637, 0.1831, 0.1734, 0.1698, 0.2191, 0.2544, 0.2748, 0.259, 0.2219, 0.2511, 0.2707, 0.2952, 0.3108, 0.296, 0.3331, 0.3159, 0.3226, 0.3246, 0.2996, 0.307, 0.2983, 0.3167, 0.317, 0.2983, 0.2608, 0.3405, 0.3075, 0.2669, 0.3302, 0.3302, 0.2495, 0.2707, 0.2769]}
{"unit_id": "thread:2017025714118123873", "ticker_idx": 0, "ts": "2026-01-30T00:02:59+00:00", "symbol": "gold", "kind": "commodity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Odds are high that the gold price is heading for a fall. In our view, the bubble today is not in AI, but in gold. An upturn in the dollar could pop that bubble, a la 1980 to 2000 when the gold price dropped more than 60%.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Gold in a bubble at all-time-high vs M2; odds high it heads lower, potentially 60%+ drop like 1980–2000.", "resolved_tickers": ["GLD"], "resolution_method": "etf", "resolution_reason": "Gold commodity; GLD is standard ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "self_thread", "lang": "en", "tweet_text": "Odds are high that the gold price is heading for a fall. Intraday today, the market cap of gold as a percent of the US money supply (M2) hit an all-time high: higher than its peak in 1980 when inflation and interest rates soared to the mid-teens and, even more shocking... https://t.co/3nHLqIK22t\n\n---\n\nthe ratio of gold to M2 has hit the all time high recorded during The Great Depression in 1934. In that crisis, the dollar devalued relative to gold by almost 70% on January 31, 1934, the government banned private ownership of gold, and M2 collapsed.\n\n---\n\nThe US economy today looks nothing like the double-digit inflation-prone 1970s or the deflationary bust of the 1930s. True, foreign central banks have been diversifying away from the dollar for years; yet, the 10-year Treasury bond yield peaked at 5% in late 2023 and is now 4.2%.\n\n---\n\nWhile parabolic moves often take asset prices higher than most investors would think possible, the out-of-this-world spikes tend to occur at the end of a cycle. In our view, the bubble today is not in AI, but in gold. An upturn in the dollar could pop that bubble, a la 1980 to 2000 when the gold price dropped more than 60%.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.11450720371201273, "ret_signed_m1d": -0.11450720371201273, "alpha_spy_m1d": -0.11151570105483533, "alpha_c_m1d": -0.11151570105483533, "bench_spy_m1d": 0.002991502657177403, "bench_c_m1d": 0.002991502657177403, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.04004945911975222, "ret_signed_p1d": 0.04004945911975222, "alpha_spy_p1d": 0.04502082125068774, "alpha_c_p1d": 0.04502082125068774, "bench_spy_p1d": 0.004971362130935519, "bench_c_p1d": 0.004971362130935519, "ret_p1w": 0.023620584244768317, "ret_signed_p1w": -0.023620584244768317, "alpha_spy_p1w": -0.02557152193840939, "alpha_c_p1w": -0.02557152193840939, "bench_spy_p1w": -0.001950937693641075, "bench_c_p1w": -0.001950937693641075, "ret_p1m": 0.10124730094851064, "ret_signed_p1m": -0.10124730094851064, "alpha_spy_p1m": -0.10932558751965937, "alpha_c_p1m": -0.10932558751965937, "bench_spy_p1m": -0.00807828657114873, "bench_c_p1m": -0.00807828657114873, "ret_p3m": -0.0618946124044778, "ret_signed_p3m": 0.0618946124044778, "alpha_spy_p3m": 0.09304248513237134, "alpha_c_p3m": 0.09304248513237134, "bench_spy_p3m": 0.031147872727893544, "bench_c_p3m": 0.031147872727893544, "ret_p6m": null, "ret_signed_p6m": null, "alpha_spy_p6m": null, "alpha_c_p6m": null, "bench_spy_p6m": null, "bench_c_p6m": null, "price_path": [-0.1857, -0.1763, -0.1773, -0.1722, -0.1496, -0.1463, -0.1325, -0.1395, -0.1551, -0.1647, -0.1587, -0.1573, -0.1575, -0.1588, -0.1455, -0.1458, -0.139, -0.139, -0.1283, -0.1241, -0.1297, -0.1305, -0.1299, -0.1315, -0.1338, -0.1293, -0.1256, -0.1162, -0.1113, -0.1105, -0.1103, -0.1026, -0.1042, -0.1032, -0.0825, -0.0704, -0.0742, -0.0742, -0.0634, -0.1042, -0.1035, -0.1093, -0.1093, -0.1049, -0.0813, -0.0714, -0.0803, -0.0752, -0.0685, -0.0511, -0.0524, -0.0427, -0.0486, -0.0532, -0.0532, -0.0174, -0.003, 0.0154, 0.0293, 0.0444, 0.07, 0.1115, 0.1145, 0.0, -0.04, 0.021, 0.0203, -0.0069, 0.0236, 0.0496, 0.0392, 0.051, 0.0145, 0.0397, 0.0397, 0.0073, 0.03, 0.0328, 0.0532, 0.0816, 0.0667, 0.064, 0.0731, 0.0872, 0.1012, 0.0521, 0.0603, 0.0476, 0.0642, 0.062, 0.074, 0.0703, 0.0493, 0.0357, 0.0348, 0.0322, -0.0005, -0.0417, -0.071, -0.0919, -0.0917, -0.0644, -0.0996, -0.068, -0.0683, -0.0329, -0.016, -0.0349, -0.0349, -0.0389, -0.0295, -0.0234, -0.0158, -0.0176, -0.0216, 0.0003, -0.0101, -0.0109, 0.0022, -0.0064, -0.0346, -0.0218, -0.0313, -0.0263, -0.0338, -0.0518, -0.0619, -0.0478, -0.0489, -0.068, -0.06, -0.0314, -0.0298, -0.0251, -0.0231, -0.027, -0.0325, -0.0399, -0.0622, -0.0596, -0.0752, -0.0619, -0.0628, -0.07, -0.07, -0.0696, -0.0819, -0.0723, -0.0625, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null]}
{"unit_id": "quote:1916166595593805966", "ticker_idx": 0, "ts": "2025-04-26T16:24:51+00:00", "symbol": "PLTR", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "I believe him.", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Long PLTR as future largest pure-play enterprise AI software company; cautious on MSFT navigating enterprise AI disruption.", "resolved_tickers": ["PLTR"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": "Software - Infrastructure", "unit_kind": "quote", "lang": "en", "tweet_text": "I wonder how $MSFT and its enterprise clients are going to manage through this massive disruption. Palantir comes to mind. CEO Alex Karp believes that $PLTR will become the largest pure play enterprise AI software company in the world. I believe him.", "reply_text": null, "parent_text": null, "quoted_text": "excel.\nwill.\ndie.", "parent_author": null, "ret_m1d": -0.01631053398773774, "ret_signed_m1d": -0.01631053398773774, "alpha_spy_m1d": -0.01592948930217919, "alpha_c_m1d": -0.01592948930217919, "bench_spy_m1d": -0.0003810446855585514, "bench_c_m1d": -0.0003810446855585514, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.012472745627072568, "ret_signed_p1d": 0.012472745627072568, "alpha_spy_p1d": 0.00617329247102516, "alpha_c_p1d": 0.00617329247102516, "bench_spy_p1d": 0.006299453156047408, "bench_c_p1d": 0.006299453156047408, "ret_p1w": 0.07954640205677554, "ret_signed_p1w": 0.07954640205677554, "alpha_spy_p1w": 0.05656357977534454, "alpha_c_p1w": 0.05656357977534454, "bench_spy_p1w": 0.022982822281431003, "bench_c_p1w": 0.022982822281431003, "ret_p1m": 0.07623199081943954, "ret_signed_p1m": 0.07623199081943954, "alpha_spy_p1m": 0.003072307767926219, "alpha_c_p1m": 0.003072307767926219, "bench_spy_p1m": 0.07315968305151332, "bench_c_p1m": 0.07315968305151332, "ret_p3m": 0.35071956868135246, "ret_signed_p3m": 0.35071956868135246, "alpha_spy_p3m": 0.1956036739402398, "alpha_c_p3m": 0.1956036739402398, "bench_spy_p3m": 0.15511589474111265, "bench_c_p3m": 0.15511589474111265, "ret_p6m": 0.5831660888889332, "ret_signed_p6m": 0.5831660888889332, "alpha_spy_p6m": 0.35753081455132896, "alpha_c_p6m": 0.35753081455132896, "bench_spy_p6m": 0.22563527433760422, "bench_c_p6m": 0.22563527433760422, "price_path": [-0.3043, -0.2916, -0.2805, -0.2696, -0.0944, -0.1159, -0.0294, -0.0331, 0.0174, -0.0177, 0.0239, 0.0284, 0.0393, 0.0393, 0.087, -0.0226, -0.0731, -0.116, -0.2091, -0.2338, -0.221, -0.2606, -0.2593, -0.2724, -0.2638, -0.2139, -0.2982, -0.2594, -0.3338, -0.3192, -0.2704, -0.3055, -0.2478, -0.2381, -0.2683, -0.249, -0.2378, -0.2066, -0.1561, -0.1583, -0.1951, -0.2142, -0.2512, -0.2638, -0.2614, -0.2372, -0.2708, -0.3545, -0.3211, -0.3256, -0.1975, -0.2273, -0.2276, -0.1922, -0.1417, -0.1914, -0.182, -0.182, -0.208, -0.1802, -0.1206, -0.0599, -0.0163, 0.0, 0.0125, 0.0331, 0.0135, 0.084, 0.0795, -0.0505, -0.0364, 0.0392, 0.0231, 0.0332, 0.1173, 0.1355, 0.1175, 0.1297, 0.1019, 0.0954, 0.0517, 0.0666, 0.0755, 0.0755, 0.0762, 0.0795, 0.0669, 0.1494, 0.1517, 0.1615, 0.134, 0.0459, 0.114, 0.1519, 0.1584, 0.1896, 0.1792, 0.1984, 0.2334, 0.2054, 0.2208, 0.2208, 0.1976, 0.2204, 0.2493, 0.2464, 0.2582, 0.1403, 0.189, 0.1398, 0.1524, 0.1719, 0.1719, 0.2134, 0.2186, 0.2484, 0.2429, 0.2394, 0.3009, 0.2959, 0.3163, 0.3431, 0.339, 0.3239, 0.3002, 0.3487, 0.3507, 0.3851, 0.3771, 0.3628, 0.3834, 0.3812, 0.3456, 0.4013, 0.5113, 0.566, 0.5892, 0.6307, 0.5934, 0.6308, 0.6081, 0.5789, 0.5453, 0.5179, 0.3759, 0.3608, 0.3622, 0.3846, 0.3709, 0.4031, 0.3669, 0.3792, 0.3669, 0.3669, 0.3702, 0.3511, 0.3619, 0.3355, 0.3615, 0.4161, 0.4543, 0.4336, 0.4952, 0.4933, 0.485, 0.4682, 0.5436, 0.5908, 0.5642, 0.5922, 0.5662, 0.5623, 0.5488, 0.5601, 0.5911, 0.6132, 0.6315, 0.5096, 0.5659, 0.5889, 0.601, 0.6177, 0.5302, 0.5457, 0.5677, 0.5667, 0.5536, 0.5539, 0.5839, 0.5832]}
{"unit_id": "quote:1916166595593805966", "ticker_idx": 1, "ts": "2025-04-26T16:24:51+00:00", "symbol": "MSFT", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "I wonder how $MSFT and its enterprise clients are going to manage through this massive disruption", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Long PLTR as future largest pure-play enterprise AI software company; cautious on MSFT navigating enterprise AI disruption.", "resolved_tickers": ["MSFT"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": "Software - Infrastructure", "unit_kind": "quote", "lang": "en", "tweet_text": "I wonder how $MSFT and its enterprise clients are going to manage through this massive disruption. Palantir comes to mind. CEO Alex Karp believes that $PLTR will become the largest pure play enterprise AI software company in the world. I believe him.", "reply_text": null, "parent_text": null, "quoted_text": "excel.\nwill.\ndie.", "parent_author": null, "ret_m1d": 0.0017640905660507578, "ret_signed_m1d": -0.0017640905660507578, "alpha_spy_m1d": -0.002145135251609309, "alpha_c_m1d": -0.002145135251609309, "bench_spy_m1d": -0.0003810446855585514, "bench_c_m1d": -0.0003810446855585514, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0073628386297937, "ret_signed_p1d": -0.0073628386297937, "alpha_spy_p1d": -0.0010633854737462922, "alpha_c_p1d": -0.0010633854737462922, "bench_spy_p1d": 0.006299453156047408, "bench_c_p1d": 0.006299453156047408, "ret_p1w": 0.11506808778207933, "ret_signed_p1w": -0.11506808778207933, "alpha_spy_p1w": -0.09208526550064833, "alpha_c_p1w": -0.09208526550064833, "bench_spy_p1w": 0.022982822281431003, "bench_c_p1w": 0.022982822281431003, "ret_p1m": 0.17991557167020722, "ret_signed_p1m": -0.17991557167020722, "alpha_spy_p1m": -0.1067558886186939, "alpha_c_p1m": -0.1067558886186939, "bench_spy_p1m": 0.07315968305151332, "bench_c_p1m": 0.07315968305151332, "ret_p3m": 0.3084617651825359, "ret_signed_p3m": -0.3084617651825359, "alpha_spy_p3m": -0.15334587044142323, "alpha_c_p3m": -0.15334587044142323, "bench_spy_p3m": 0.15511589474111265, "bench_c_p3m": 0.15511589474111265, "ret_p6m": 0.32800621209472336, "ret_signed_p6m": -0.32800621209472336, "alpha_spy_p6m": -0.10237093775711914, "alpha_c_p6m": -0.10237093775711914, "bench_spy_p6m": 0.22563527433760422, "bench_c_p6m": 0.22563527433760422, "price_path": [0.1286, 0.0588, 0.059, 0.0484, 0.0521, 0.0545, 0.0609, 0.0454, 0.0517, 0.0497, 0.0436, 0.0474, 0.0421, 0.0421, 0.0451, 0.0582, 0.0638, 0.0436, 0.0328, 0.0172, 0.0219, 0.0035, 0.0149, -0.0068, -0.0065, 0.0252, 0.0146, 0.0055, -0.0281, -0.0274, -0.0202, -0.0317, -0.0066, -0.0063, -0.0195, -0.0085, -0.011, 0.0003, 0.0049, 0.0102, -0.003, -0.0015, -0.0316, -0.0403, -0.0229, -0.0231, -0.0461, -0.0801, -0.0851, -0.0936, -0.0017, -0.0251, -0.0069, -0.0086, -0.0139, -0.05, -0.0598, -0.0598, -0.0819, -0.0622, -0.0429, -0.0099, 0.0018, 0.0, 0.0074, 0.0105, 0.0875, 0.1128, 0.1151, 0.1078, 0.1079, 0.1202, 0.1216, 0.1485, 0.1482, 0.1579, 0.1606, 0.1635, 0.1753, 0.1735, 0.1591, 0.165, 0.153, 0.153, 0.1799, 0.1714, 0.1748, 0.1791, 0.1832, 0.1858, 0.1881, 0.1978, 0.2047, 0.2108, 0.2061, 0.2105, 0.2265, 0.2165, 0.2272, 0.2244, 0.23, 0.23, 0.2227, 0.2447, 0.2553, 0.2608, 0.2741, 0.2702, 0.274, 0.2602, 0.2578, 0.2776, 0.2776, 0.2748, 0.2719, 0.2896, 0.2844, 0.2891, 0.2883, 0.2955, 0.295, 0.3106, 0.3063, 0.3064, 0.2941, 0.2956, 0.3085, 0.3157, 0.3126, 0.3128, 0.3145, 0.3664, 0.3423, 0.3719, 0.3517, 0.3445, 0.334, 0.337, 0.3364, 0.3555, 0.3333, 0.3382, 0.3323, 0.3244, 0.3056, 0.2952, 0.2936, 0.3012, 0.2936, 0.2879, 0.3, 0.3074, 0.2999, 0.2999, 0.2958, 0.2964, 0.3031, 0.2699, 0.2781, 0.2786, 0.2837, 0.2853, 0.3081, 0.3221, 0.3059, 0.3084, 0.3044, 0.3287, 0.3198, 0.3064, 0.3087, 0.3007, 0.3121, 0.3202, 0.3288, 0.3333, 0.3231, 0.3272, 0.356, 0.3442, 0.3465, 0.3402, 0.3108, 0.3187, 0.3175, 0.3172, 0.3125, 0.3175, 0.3258, 0.328]}
{"unit_id": "thread:1373357995288051718", "ticker_idx": 0, "ts": "2021-03-20T19:37:16+00:00", "symbol": "S&P500", "kind": "index", "geography": "US", "sub_sector": null, "direction": "long", "conviction": "low", "explicit": false, "explicit_audit": "flipped_to_implicit", "polarity_reversed": false, "quote": "If 10-year Treasury yields were to settle in the 2-3% range, the S&P 500's PE would adjust accordingly: 1/.03=33", "tweet_type": "analysis", "timeline": "unspecified", "summary": "S&P 500 PE could expand to ~33x as yields settle 2-3% and AI-driven disruption concentrates growth in winner-take-most opportunities.", "resolved_tickers": ["SPY"], "resolution_method": "etf", "resolution_reason": "S&P 500 index; SPY ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "self_thread", "lang": "en", "tweet_text": "The equity market does not seem ever to have discounted 0.5%, 1%, 2%, or 3% yields on the 10 year Treasury bond. The PE on the S&P 500 has topped out at 20-25X regularly since the tech and telecom bust, even as 10-year Treasury yields have declined from 6%.\n\n---\n\nThe PE on the S&P 500 is likely to adjust to 2-3% nominal GDP growth as disruptive innovation creates “creative destruction” in the traditional world order. If 10-year Treasury yields were to settle in the 2-3% range, the S&P 500’s PE would adjust accordingly: 1/.03=33.\n\n---\n\nOh yes, I forgot to mention how scarce exponential growth opportunities are likely to become as #artificialintelligence creates more winner-take-most opportunities like autonomous taxi networks!", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.007921933709869933, "ret_signed_m1d": -0.007921933709869933, "alpha_spy_m1d": 0.0, "alpha_c_m1d": 0.0, "bench_spy_m1d": -0.007921933709869933, "bench_c_m1d": -0.007921933709869933, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.007871081125934487, "ret_signed_p1d": -0.007871081125934487, "alpha_spy_p1d": 0.0, "alpha_c_p1d": 0.0, "bench_spy_p1d": -0.007871081125934487, "bench_c_p1d": -0.007871081125934487, "ret_p1w": 0.008125427274063401, "ret_signed_p1w": 0.008125427274063401, "alpha_spy_p1w": 0.0, "alpha_c_p1w": 0.0, "bench_spy_p1w": 0.008125427274063401, "bench_c_p1w": 0.008125427274063401, "ret_p1m": 0.049873983801412836, "ret_signed_p1m": 0.049873983801412836, "alpha_spy_p1m": 0.0, "alpha_c_p1m": 0.0, "bench_spy_p1m": 0.049873983801412836, "bench_c_p1m": 0.049873983801412836, "ret_p3m": 0.07483619392295804, "ret_signed_p3m": 0.07483619392295804, "alpha_spy_p3m": 0.0, "alpha_c_p3m": 0.0, "bench_spy_p3m": 0.07483619392295804, "bench_c_p3m": 0.07483619392295804, "ret_p6m": 0.13508518681707926, "ret_signed_p6m": 0.13508518681707926, "alpha_spy_p6m": 0.0, "alpha_c_p6m": 0.0, "bench_spy_p6m": 0.13508518681707926, "bench_c_p6m": 0.13508518681707926, "price_path": [-0.0668, -0.0632, -0.0632, -0.0551, -0.0569, -0.0556, -0.0508, -0.0508, -0.0637, -0.0572, -0.0516, -0.0375, -0.032, -0.0386, -0.0384, -0.0358, -0.0391, -0.0461, -0.0461, -0.0387, -0.0254, -0.0245, -0.0279, -0.0241, -0.0256, -0.0494, -0.0412, -0.0604, -0.0448, -0.0313, -0.0305, -0.0195, -0.0157, -0.0085, -0.0092, -0.0096, -0.008, -0.0031, -0.0031, -0.004, -0.0038, -0.008, -0.0098, -0.0174, -0.0162, -0.0053, -0.0293, -0.0343, -0.0109, -0.0186, -0.0316, -0.0436, -0.026, -0.0309, -0.017, -0.0109, -0.0009, 0.0005, 0.0064, 0.0052, 0.0086, -0.0061, -0.0079, 0.0, -0.0079, -0.0129, -0.0074, 0.0086, 0.0081, 0.0055, 0.0095, 0.0204, 0.0204, 0.0351, 0.0345, 0.0357, 0.0406, 0.0481, 0.0485, 0.0516, 0.048, 0.0593, 0.0628, 0.0576, 0.0499, 0.0598, 0.0501, 0.0615, 0.0637, 0.0635, 0.0632, 0.07, 0.0629, 0.0652, 0.0587, 0.059, 0.0674, 0.0752, 0.0646, 0.0551, 0.0327, 0.0451, 0.0611, 0.0584, 0.0493, 0.0465, 0.0578, 0.0569, 0.0677, 0.0653, 0.0674, 0.068, 0.0699, 0.0699, 0.069, 0.0707, 0.0667, 0.0764, 0.0754, 0.0756, 0.074, 0.079, 0.0808, 0.0832, 0.0812, 0.0752, 0.0748, 0.0603, 0.0755, 0.0813, 0.08, 0.0864, 0.0902, 0.0924, 0.093, 0.0939, 0.1, 0.1084, 0.1084, 0.1064, 0.1103, 0.1012, 0.113, 0.117, 0.1132, 0.1148, 0.111, 0.1023, 0.086, 0.1016, 0.1105, 0.1128, 0.1243, 0.127, 0.1219, 0.1214, 0.1261, 0.1206, 0.1183, 0.1274, 0.1218, 0.1289, 0.1308, 0.1299, 0.1313, 0.1341, 0.1375, 0.1396, 0.1422, 0.1348, 0.1223, 0.1241, 0.133, 0.143, 0.1448, 0.1472, 0.1404, 0.1506, 0.1557, 0.154, 0.1546, 0.1581, 0.1579, 0.1579, 0.1537, 0.1523, 0.1474, 0.1383, 0.1412, 0.1351]}
{"unit_id": "quote:818253216982925313", "ticker_idx": 1, "ts": "2017-01-09T00:29:03+00:00", "symbol": "GOOG", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Disruptive innovation...and #mobile ads still are less than 20% of total #advertising...entering the steep part of the S-curve! $FB $GOOG", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish FB and GOOG: mobile ads <20% of total advertising, entering the steep S-curve growth phase.", "resolved_tickers": ["GOOG"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLC", "bench_c_reason": "industry='Internet Content & Information'", "bench_c_industry": "Internet Content & Information", "unit_kind": "quote", "lang": "en", "tweet_text": "Disruptive innovation...and #mobile ads still are less than 20% of total #advertising...entering the steep part of the S-curve! $FB $GOOG https://t.co/00aZnUfkQY", "reply_text": null, "parent_text": null, "quoted_text": "The past 9 months of disruption: \n\n—@facebook ad revenue: $17.9b📱💻\n—All newspaper ad revenue: $16.4b📰 https://t.co/2KttvHL47z", "parent_author": null, "ret_m1d": -0.0006199205918052675, "ret_signed_m1d": -0.0006199205918052675, "alpha_spy_m1d": -0.003931381726425598, "alpha_c_m1d": null, "bench_spy_m1d": 0.0033114611346203304, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.002305940586223132, "ret_signed_p1d": -0.002305940586223132, "alpha_spy_p1d": -0.002305940586223132, "alpha_c_p1d": null, "bench_spy_p1d": 0.0, "bench_c_p1d": null, "ret_p1w": 0.001524770075829407, "ret_signed_p1w": 0.001524770075829407, "alpha_spy_p1w": -0.0010804145865925818, "alpha_c_p1w": null, "bench_spy_p1w": 0.0026051846624219888, "bench_c_p1w": null, "ret_p1m": 0.0003965927920810408, "ret_signed_p1m": 0.0003965927920810408, "alpha_spy_p1m": -0.010554438523749488, "alpha_c_p1m": null, "bench_spy_p1m": 0.010951031315830528, "bench_c_p1m": null, "ret_p3m": 0.026318828373920855, "ret_signed_p3m": 0.026318828373920855, "alpha_spy_p3m": -0.017857555317289053, "alpha_c_p3m": null, "bench_spy_p3m": 0.04417638369120991, "bench_c_p3m": null, "ret_p6m": 0.11411392597589343, "ret_signed_p6m": 0.11411392597589343, "alpha_spy_p6m": 0.03467405550621794, "alpha_c_p6m": null, "bench_spy_p6m": 0.07943987046967549, "bench_c_p6m": null, "price_path": [-0.0254, -0.0353, -0.0349, -0.0331, -0.0141, -0.0064, -0.012, -0.009, 0.008, 0.0013, -0.0094, -0.014, -0.014, -0.0274, -0.0286, -0.047, -0.0552, -0.0553, -0.0299, -0.02, -0.0265, -0.0547, -0.0652, -0.0875, -0.0597, -0.0523, -0.0439, -0.0572, -0.0464, -0.0476, -0.0566, -0.0566, -0.0557, -0.0476, -0.0444, -0.0603, -0.0728, -0.0696, -0.0547, -0.0589, -0.044, -0.0375, -0.0215, -0.0215, -0.0131, -0.0119, -0.0109, -0.0196, -0.0154, -0.0127, -0.015, -0.0191, -0.0208, -0.0208, -0.0187, -0.0268, -0.0296, -0.0432, -0.0432, -0.0254, -0.0245, -0.0157, -0.0006, 0.0, -0.0023, 0.0016, -0.0004, 0.0015, 0.0015, -0.0025, -0.0007, -0.0055, -0.002, 0.0157, 0.0213, 0.036, 0.0316, 0.0207, -0.0054, -0.0122, -0.0136, -0.0101, -0.0064, -0.0066, 0.0004, 0.0021, 0.0036, 0.0087, 0.0156, 0.0171, 0.0153, 0.0217, 0.0266, 0.0266, 0.031, 0.0299, 0.0306, 0.0273, 0.0281, 0.0205, 0.0354, 0.0297, 0.0278, 0.0262, 0.0313, 0.0356, 0.0397, 0.0454, 0.0482, 0.0483, 0.0503, 0.0522, 0.0564, 0.0518, 0.0295, 0.0284, 0.0135, 0.0096, 0.0159, 0.0177, 0.0307, 0.0308, 0.0284, 0.0395, 0.0346, 0.0307, 0.0263, 0.0223, 0.0224, 0.0207, 0.0219, 0.021, 0.021, 0.0378, 0.0374, 0.0391, 0.0434, 0.0453, 0.0696, 0.0814, 0.0807, 0.0838, 0.1231, 0.1313, 0.1361, 0.1492, 0.155, 0.1494, 0.1582, 0.1556, 0.1514, 0.1537, 0.1557, 0.1617, 0.169, 0.14, 0.1532, 0.1579, 0.1676, 0.1762, 0.1839, 0.2019, 0.2043, 0.2043, 0.2098, 0.1961, 0.1987, 0.2094, 0.2195, 0.2106, 0.2161, 0.2191, 0.1775, 0.1689, 0.1819, 0.1787, 0.1682, 0.165, 0.1868, 0.1785, 0.1894, 0.1865, 0.197, 0.1805, 0.1496, 0.1659, 0.1378, 0.1265, 0.1141, 0.1141]}
{"unit_id": "quote:904000067329196032", "ticker_idx": 0, "ts": "2017-09-02T15:16:26+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "the velocity of #bitcoin classic will fall and its purchasing power will rise", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Long BTC: falling velocity means rising purchasing power as holders stop spending it.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Yes, for the reason @fredwilson explains, the velocity of #bitcoin classic will fall and its purchasing power will rise. https://t.co/2qdAVxP0Vk", "reply_text": null, "parent_text": null, "quoted_text": "Why Fred Wilson Doesn't Spend Bitcoin Anymore https://t.co/83QjTOyTwL https://t.co/SYIX5aPFeW", "parent_author": null, "ret_m1d": 0.1547808583323833, "ret_signed_m1d": 0.1547808583323833, "alpha_spy_m1d": 0.1547808583323833, "alpha_c_m1d": null, "bench_spy_m1d": 0.0, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.03309949569863302, "ret_signed_p1d": 0.03309949569863302, "alpha_spy_p1d": 0.04028152598302093, "alpha_c_p1d": null, "bench_spy_p1d": -0.007182030284387908, "bench_c_p1d": null, "ret_p1w": -0.01771353796690922, "ret_signed_p1w": -0.01771353796690922, "alpha_spy_p1w": -0.023241231155843534, "alpha_c_p1w": null, "bench_spy_p1w": 0.005527693188934313, "bench_c_p1w": null, "ret_p1m": 0.01916052431297821, "ret_signed_p1m": 0.01916052431297821, "alpha_spy_p1m": -0.006157814049759347, "alpha_c_p1m": null, "bench_spy_p1m": 0.025318338362737558, "bench_c_p1m": null, "ret_p3m": 1.4156871116209233, "ret_signed_p3m": 1.4156871116209233, "alpha_spy_p3m": 1.3411017610323845, "alpha_c_p3m": null, "bench_spy_p3m": 0.07458535058853877, "bench_c_p3m": null, "ret_p6m": 1.5318259194973516, "ret_signed_p6m": 1.5318259194973516, "alpha_spy_p6m": 1.4133555574191046, "alpha_c_p6m": null, "bench_spy_p6m": 0.11847036207824702, "bench_c_p6m": null, "price_path": [-0.3551, -0.3377, -0.3334, -0.3722, -0.3586, -0.4084, -0.4182, -0.4055, -0.3887, -0.3575, -0.3652, -0.3614, -0.3521, -0.415, -0.3975, -0.3922, -0.4006, -0.4144, -0.3947, -0.3859, -0.3858, -0.3842, -0.4055, -0.4399, -0.4482, -0.4337, -0.4434, -0.4728, -0.474, -0.4526, -0.4633, -0.3349, -0.3703, -0.3497, -0.3918, -0.4029, -0.3693, -0.3369, -0.3213, -0.3583, -0.3601, -0.3379, -0.3164, -0.2024, -0.1927, -0.211, -0.2018, -0.1383, 0.021, -0.0128, 0.0331, 0.0225, -0.0179, -0.0554, -0.0321, -0.02, 0.0232, 0.0319, 0.0345, 0.0809, 0.0777, 0.1103, 0.1548, 0.0, 0.0331, 0.0852, 0.0858, -0.0018, -0.0177, -0.0249, -0.0835, -0.2553, -0.1413, -0.0404, -0.0735, -0.078, -0.1429, -0.143, -0.0732, -0.0812, -0.0084, -0.0145, -0.0173, 0.0408, 0.0192, -0.0016, 0.0217, 0.0317, 0.1265, 0.1288, 0.1393, 0.2858, 0.333, 0.3516, 0.3232, 0.3197, 0.3475, 0.419, 0.3999, 0.3046, 0.3575, 0.3939, 0.3646, 0.4471, 0.5269, 0.5975, 0.6709, 0.7014, 0.6578, 0.6865, 0.7609, 0.6863, 0.5622, 0.5484, 0.5664, 0.7269, 0.8581, 0.8197, 0.9358, 0.9053, 0.9483, 0.8976, 0.9483, 1.3177, 1.3744, 1.3343, 1.4157, 1.5908, 1.7517, 1.813, 2.3736, 3.2253, 2.9113, 2.998, 3.111, 2.8732, 2.91, 3.1798, 3.512, 3.1963, 2.9243, 2.7303, 2.2651, 2.311, 2.8004, 2.7387, 2.4479, 2.4597, 2.2238, 2.5366, 2.5883, 2.6823, 3.1143, 2.581, 2.4453, 2.5345, 2.1645, 2.3002, 2.2622, 1.7124, 1.6411, 1.7087, 1.74, 1.5804, 1.5655, 1.6814, 1.6578, 1.6371, 1.6666, 1.3856, 1.4127, 1.1647, 1.0845, 0.6418, 0.8304, 0.799, 0.9511, 1.0624, 1.1072, 1.0297, 1.2412, 1.3998, 1.4158, 1.6498, 1.6919, 1.5235, 1.3617, 1.4316, 1.4471, 1.5318]}
{"unit_id": "quote:857618899654901761", "ticker_idx": 0, "ts": "2017-04-27T15:34:14+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "a positive for #bitcoin developers and for bitcoin", "tweet_type": "news_reaction", "timeline": "unspecified", "summary": "SegWit activation on Litecoin seen as a positive catalyst for Bitcoin.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "...a positive for #bitcoin developers and for bitcoin. https://t.co/fTYN2znaEi", "reply_text": null, "parent_text": null, "quoted_text": "BREAKING: SegWit’s litecoin activation threshold has officially been reached: https://t.co/iyC9QHIcor https://t.co/Zb6u3sSgJp", "parent_author": null, "ret_m1d": -0.02781300035461376, "ret_signed_m1d": -0.02781300035461376, "alpha_spy_m1d": -0.026974831664333232, "alpha_c_m1d": null, "bench_spy_m1d": -0.0008381686902805274, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.0009486010173004322, "ret_signed_p1d": -0.0009486010173004322, "alpha_spy_p1d": 0.001231006327402584, "alpha_c_p1d": null, "bench_spy_p1d": -0.002179607344703016, "bench_c_p1d": null, "ret_p1w": 0.16690829436719978, "ret_signed_p1w": 0.16690829436719978, "alpha_spy_p1w": 0.16623798066495965, "alpha_c_p1w": null, "bench_spy_p1w": 0.0006703137022401329, "bench_c_p1w": null, "ret_p1m": 0.6713742227307777, "ret_signed_p1m": 0.6713742227307777, "alpha_spy_p1m": 0.6583399436594701, "alpha_c_p1m": null, "bench_spy_p1m": 0.013034279071307608, "bench_c_p1m": null, "ret_p3m": 0.9552412244215849, "ret_signed_p3m": 0.9552412244215849, "alpha_spy_p3m": 0.9132189199156742, "alpha_c_p3m": null, "bench_spy_p3m": 0.04202230450591071, "bench_c_p3m": null, "ret_p6m": 3.561974216579693, "ret_signed_p6m": 3.561974216579693, "alpha_spy_p6m": 3.4737681903643725, "alpha_c_p6m": null, "bench_spy_p6m": 0.08820602621532059, "bench_c_p6m": null, "price_path": [-0.3015, -0.2636, -0.2494, -0.2322, -0.2184, -0.2122, -0.1946, -0.1933, -0.2454, -0.2497, -0.2482, -0.2377, -0.2354, -0.2203, -0.2061, -0.1804, -0.1536, -0.152, -0.1146, -0.1093, -0.1045, -0.1045, -0.0723, -0.0506, -0.0324, -0.0341, -0.0715, -0.1273, -0.0981, -0.1525, -0.0651, -0.059, -0.0517, -0.0986, -0.1651, -0.2, -0.1496, -0.2038, -0.2118, -0.2885, -0.2064, -0.2053, -0.2108, -0.2211, -0.1866, -0.132, -0.14, -0.1464, -0.1025, -0.1069, -0.0991, -0.0855, -0.0891, -0.1127, -0.114, -0.094, -0.0805, -0.0815, -0.0673, -0.0726, -0.0513, -0.0396, -0.0278, 0.0, -0.0009, 0.0788, 0.1025, 0.1308, 0.1669, 0.1804, 0.3078, 0.3321, 0.3562, 0.4028, 0.3085, 0.3193, 0.3162, 0.3957, 0.4333, 0.5084, 0.6494, 0.7609, 0.8544, 0.7492, 0.6714, 0.7117, 0.6509, 0.7351, 0.8273, 0.8885, 1.039, 1.1728, 1.0734, 1.1291, 1.1429, 1.0183, 1.0619, 0.902, 0.8703, 0.9113, 0.9652, 1.0655, 1.0407, 1.0531, 1.0831, 0.8808, 0.937, 0.954, 0.927, 0.8827, 0.9458, 0.9743, 0.9746, 0.9796, 0.9114, 0.8005, 0.7741, 0.8204, 0.7894, 0.6948, 0.6911, 0.7598, 0.7253, 1.1382, 1.0245, 1.0906, 0.9552, 0.9196, 1.0276, 1.1317, 1.182, 1.0628, 1.0571, 1.1285, 1.1976, 1.5642, 1.5953, 1.5365, 1.566, 1.7704, 2.2823, 2.1736, 2.3213, 2.2872, 2.1574, 2.0368, 2.1118, 2.1505, 2.2895, 2.3175, 2.3259, 2.4749, 2.4645, 2.5693, 2.7125, 2.2149, 2.3213, 2.4887, 2.4908, 2.2091, 2.1579, 2.1348, 1.9464, 1.3942, 1.7604, 2.085, 1.9786, 1.9642, 1.7555, 1.7553, 1.9794, 1.9538, 2.1878, 2.1681, 2.1593, 2.3461, 2.2765, 2.2096, 2.2847, 2.3169, 2.6214, 2.629, 2.6627, 3.1336, 3.2856, 3.345, 3.2539, 3.2427, 3.3321, 3.562]}
{"unit_id": "quote:820803139905482752", "ticker_idx": 0, "ts": "2017-01-16T01:21:32+00:00", "symbol": "oil", "kind": "commodity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "OPEC has lost its hold oil prices", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bearish oil: OPEC losing pricing power combined with Trump-era US energy production surge will pressure prices lower.", "resolved_tickers": ["USO"], "resolution_method": "etf", "resolution_reason": "Oil commodity; USO is standard ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "As important, in the US the Trump administration will encourage all kinds of energy production.  #OPEC has lost its hold oil prices. https://t.co/iCG7aL2nYH", "reply_text": null, "parent_text": null, "quoted_text": "Non- #OPEC Voluntary Cuts Unraveling Before They Even Start... #oil #energy #geopolitics #commodities $oil #russia https://t.co/fn2gAbu5Cj", "parent_author": null, "ret_m1d": 0.0, "ret_signed_m1d": -0.0, "alpha_spy_m1d": 0.0, "alpha_c_m1d": 0.0, "bench_spy_m1d": 0.0, "bench_c_m1d": 0.0, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0017528885215725154, "ret_signed_p1d": -0.0017528885215725154, "alpha_spy_p1d": -0.005276418144417816, "alpha_c_p1d": -0.005276418144417816, "bench_spy_p1d": -0.0035235296228453006, "bench_c_p1d": -0.0035235296228453006, "ret_p1w": -0.007887831182425753, "ret_signed_p1w": 0.007887831182425753, "alpha_spy_p1w": 0.003923811707465696, "alpha_c_p1w": 0.003923811707465696, "bench_spy_p1w": -0.003964019474960057, "bench_c_p1w": -0.003964019474960057, "ret_p1m": -0.002629249200033601, "ret_signed_p1m": 0.002629249200033601, "alpha_spy_p1m": 0.03191773782789953, "alpha_c_p1m": 0.03191773782789953, "bench_spy_p1m": 0.029288488627865927, "bench_c_p1m": 0.029288488627865927, "ret_p3m": -0.024539854225738456, "ret_signed_p3m": 0.024539854225738456, "alpha_spy_p3m": 0.0530422486644353, "alpha_c_p3m": 0.0530422486644353, "bench_spy_p3m": 0.028502394438696843, "bench_c_p3m": 0.028502394438696843, "ret_p6m": -0.18755472552734598, "ret_signed_p6m": 0.18755472552734598, "alpha_spy_p6m": 0.2641008709842718, "alpha_c_p6m": 0.2641008709842718, "bench_spy_p6m": 0.07654614545692584, "bench_c_p6m": 0.07654614545692584, "price_path": [0.0219, 0.0018, 0.0061, 0.0018, -0.0149, -0.028, -0.0175, -0.0351, -0.0771, -0.0736, -0.099, -0.1166, -0.1253, -0.1096, -0.1148, -0.099, -0.1201, -0.1437, -0.135, -0.0938, -0.1034, -0.1122, -0.0955, -0.0561, -0.0684, -0.0649, -0.0649, -0.0947, -0.085, -0.1183, -0.0421, -0.007, 0.0061, -0.0053, -0.0105, -0.028, -0.0088, 0.0026, 0.0184, 0.028, -0.0079, -0.0044, 0.0123, 0.0079, 0.0184, 0.0026, 0.0044, 0.0131, 0.0131, 0.028, 0.0298, 0.0272, 0.0272, 0.0272, 0.0026, 0.0149, 0.0254, 0.0237, -0.0088, -0.0298, -0.0035, 0.0114, 0.0, 0.0, 0.0018, -0.0219, -0.021, -0.0018, -0.0079, -0.0035, -0.0088, 0.0105, -0.0009, -0.0114, -0.0079, 0.0061, 0.0088, 0.0114, -0.0026, -0.0193, -0.0158, -0.0053, 0.0079, -0.0079, -0.0026, -0.0044, 0.0, -0.0018, -0.0018, 0.0114, -0.0044, 0.0105, 0.0044, 0.0053, 0.0035, -0.0009, -0.021, -0.0105, -0.0114, -0.0123, -0.0649, -0.0771, -0.0982, -0.099, -0.1069, -0.0903, -0.092, -0.0947, -0.0999, -0.1139, -0.1131, -0.1227, -0.1157, -0.1201, -0.1104, -0.0911, -0.0736, -0.0675, -0.0754, -0.0613, -0.064, -0.0482, -0.0394, -0.0237, -0.021, -0.0263, -0.0245, -0.0245, -0.0307, -0.0324, -0.0692, -0.0762, -0.0955, -0.1017, -0.092, -0.1008, -0.1025, -0.1025, -0.1104, -0.1306, -0.1297, -0.1709, -0.1534, -0.1525, -0.1613, -0.1358, -0.1288, -0.128, -0.1087, -0.1139, -0.1069, -0.1008, -0.0815, -0.0762, -0.0675, -0.071, -0.1201, -0.099, -0.099, -0.1025, -0.1271, -0.1315, -0.1358, -0.1411, -0.1262, -0.1709, -0.1735, -0.1683, -0.1656, -0.1586, -0.1911, -0.1954, -0.1902, -0.2007, -0.2156, -0.2366, -0.2305, -0.2235, -0.2174, -0.2025, -0.1937, -0.1928, -0.1674, -0.1569, -0.1569, -0.1893, -0.184, -0.2025, -0.1998, -0.1876]}
{"unit_id": "quote:1993814526337155582", "ticker_idx": 0, "ts": "2025-11-26T22:50:01+00:00", "symbol": "PLTR", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "AI is not in a bubble. The 123% increase noted below was in Palantir's US commercial business last qtr", "tweet_type": "analysis", "timeline": "weeks", "summary": "Bullish Palantir on 123% US commercial growth; liquidity squeeze on AI and crypto expected to reverse in weeks.", "resolved_tickers": ["PLTR"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": "Software - Infrastructure", "unit_kind": "quote", "lang": "en", "tweet_text": "In this recent webinar, I discuss why the liquidity squeeze that has hit #AI and #crypto will reverse in the next few weeks, something the markets seemed to buy, and why AI is not in a bubble. The 123% increase noted below was in Palantir’s US commercial business last qtr.\n\nWatch here: https://t.co/RXBqqcaPsC", "reply_text": null, "parent_text": null, "quoted_text": "The AI story has just begun. Enterprises may be slow to show productivity gains, but @CathieDWood highlights that AI is flourishing on the consumer side and US commercial business was up 123% last quarter.\n\nFund webinar: https://t.co/oYbqsY4pMF https://t.co/9ual0iKfnI", "parent_author": null, "ret_m1d": -0.01339205624350659, "ret_signed_m1d": -0.01339205624350659, "alpha_spy_m1d": -0.006535904125560932, "alpha_c_m1d": -0.006535904125560932, "bench_spy_m1d": -0.0068561521179456575, "bench_c_m1d": -0.0068561521179456575, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0, "ret_signed_p1d": 0.0, "alpha_spy_p1d": 0.0, "alpha_c_p1d": 0.0, "bench_spy_p1d": 0.0, "bench_c_p1d": 0.0, "ret_p1w": 0.06219459065494237, "ret_signed_p1w": 0.06219459065494237, "alpha_spy_p1w": 0.056000509630120154, "alpha_c_p1w": 0.056000509630120154, "bench_spy_p1w": 0.006194081024822218, "bench_c_p1w": 0.006194081024822218, "ret_p1m": 0.17132166956939887, "ret_signed_p1m": 0.17132166956939887, "alpha_spy_p1m": 0.1525775889013059, "alpha_c_p1m": 0.1525775889013059, "bench_spy_p1m": 0.018744080668092966, "bench_c_p1m": 0.018744080668092966, "ret_p3m": -0.21216141197136973, "ret_signed_p3m": -0.21216141197136973, "alpha_spy_p3m": -0.2191152807613601, "alpha_c_p3m": -0.2191152807613601, "bench_spy_p3m": 0.006953868789990381, "bench_c_p3m": 0.006953868789990381, "ret_p6m": -0.17105031221283917, "ret_signed_p6m": -0.17105031221283917, "alpha_spy_p6m": -0.2700218577862422, "alpha_c_p6m": -0.2700218577862422, "bench_spy_p6m": 0.09897154557340304, "bench_c_p6m": 0.09897154557340304, "price_path": [-0.0547, -0.0547, -0.0524, -0.0656, -0.0581, -0.0764, -0.0583, -0.0206, 0.0059, -0.0085, 0.0341, 0.0328, 0.0271, 0.0154, 0.0676, 0.1003, 0.0818, 0.1012, 0.0832, 0.0805, 0.0712, 0.079, 0.1004, 0.1157, 0.1284, 0.044, 0.083, 0.0989, 0.1073, 0.1188, 0.0583, 0.069, 0.0843, 0.0835, 0.0745, 0.0747, 0.0954, 0.095, 0.0586, 0.0887, 0.1138, 0.1412, 0.1438, 0.1993, 0.1736, 0.2093, 0.2498, 0.1506, 0.1335, 0.056, 0.0734, 0.1679, 0.152, 0.111, 0.0384, 0.0497, 0.0331, 0.0094, -0.0021, -0.0605, -0.0659, -0.0212, -0.0134, 0.0, 0.0, 0.0162, 0.0104, 0.0297, 0.0622, 0.0733, 0.0965, 0.0948, 0.0969, 0.1336, 0.1313, 0.1074, 0.1054, 0.1326, 0.0695, 0.1202, 0.1666, 0.1702, 0.1711, 0.1713, 0.1713, 0.1384, 0.1111, 0.0909, 0.0723, 0.0723, 0.0126, 0.0499, 0.0841, 0.096, 0.0669, 0.0707, 0.0823, 0.0796, 0.0762, 0.0682, 0.0313, 0.0313, 0.0166, -0.0027, 0.0008, 0.0231, 0.0103, -0.0004, -0.0508, -0.0839, -0.1157, -0.1086, -0.0476, -0.1582, -0.2157, -0.1802, -0.1379, -0.1584, -0.1815, -0.221, -0.2073, -0.2073, -0.1976, -0.1833, -0.1863, -0.1842, -0.2122, -0.2228, -0.1905, -0.1799, -0.1724, -0.1243, -0.1119, -0.0759, -0.079, -0.0519, -0.0563, -0.0883, -0.0855, -0.074, -0.0894, -0.0787, -0.0645, -0.0784, -0.0609, -0.091, -0.0297, -0.0663, -0.0652, -0.1099, -0.137, -0.1702, -0.1176, -0.1163, -0.1044, -0.1044, -0.1076, -0.0947, -0.1509, -0.2128, -0.2275, -0.2015, -0.1814, -0.1425, -0.1388, -0.1169, -0.1199, -0.1194, -0.0793, -0.146, -0.1368, -0.1368, -0.1483, -0.1677, -0.1608, -0.1309, -0.1191, -0.1801, -0.1929, -0.1733, -0.1687, -0.1742, -0.1796, -0.2155, -0.1933, -0.1917, -0.1848, -0.1841, -0.1726, -0.1711]}
{"unit_id": "quote:1993814526337155582", "ticker_idx": 1, "ts": "2025-11-26T22:50:01+00:00", "symbol": "crypto", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "the liquidity squeeze that has hit #AI and #crypto will reverse in the next few weeks", "tweet_type": "analysis", "timeline": "weeks", "summary": "Bullish Palantir on 123% US commercial growth; liquidity squeeze on AI and crypto expected to reverse in weeks.", "resolved_tickers": ["BTC-USD", "ETH-USD"], "resolution_method": "basket", "resolution_reason": "Broad crypto; BTC and ETH as primary proxies", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "In this recent webinar, I discuss why the liquidity squeeze that has hit #AI and #crypto will reverse in the next few weeks, something the markets seemed to buy, and why AI is not in a bubble. The 123% increase noted below was in Palantir’s US commercial business last qtr.\n\nWatch here: https://t.co/RXBqqcaPsC", "reply_text": null, "parent_text": null, "quoted_text": "The AI story has just begun. Enterprises may be slow to show productivity gains, but @CathieDWood highlights that AI is flourishing on the consumer side and US commercial business was up 123% last quarter.\n\nFund webinar: https://t.co/oYbqsY4pMF https://t.co/9ual0iKfnI", "parent_author": null, "ret_m1d": -0.029085014568487944, "ret_signed_m1d": -0.029085014568487944, "alpha_spy_m1d": -0.022228862450542286, "alpha_c_m1d": null, "bench_spy_m1d": -0.0068561521179456575, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.002045438085947482, "ret_signed_p1d": 0.002045438085947482, "alpha_spy_p1d": 0.002045438085947482, "alpha_c_p1d": null, "bench_spy_p1d": 0.0, "bench_c_p1d": null, "ret_p1w": 0.04366594408617053, "ret_signed_p1w": 0.04366594408617053, "alpha_spy_p1w": 0.03747186306134831, "alpha_c_p1w": null, "bench_spy_p1w": 0.006194081024822218, "bench_c_p1w": null, "ret_p1m": -0.03865310731400651, "ret_signed_p1m": -0.03865310731400651, "alpha_spy_p1m": -0.057397187982099473, "alpha_c_p1m": null, "bench_spy_p1m": 0.018744080668092966, "bench_c_p1m": null, "ret_p3m": -0.336664041733668, "ret_signed_p3m": -0.336664041733668, "alpha_spy_p3m": -0.34361791052365837, "alpha_c_p3m": null, "bench_spy_p3m": 0.006953868789990381, "bench_c_p3m": null, "ret_p6m": -0.2197216208645617, "ret_signed_p6m": -0.2197216208645617, "alpha_spy_p6m": -0.31869316643796475, "alpha_c_p6m": null, "bench_spy_p6m": 0.09897154557340304, "bench_c_p6m": null, "price_path": [0.3189, 0.3159, 0.3285, 0.352, 0.3215, 0.3224, 0.3305, 0.3276, 0.3477, 0.3747, 0.42, 0.3852, 0.3891, 0.4018, 0.405, 0.3773, 0.3168, 0.3066, 0.3119, 0.2412, 0.2725, 0.3284, 0.3147, 0.3739, 0.4077, 0.4209, 0.4632, 0.4059, 0.4291, 0.3938, 0.26, 0.3378, 0.3061, 0.2704, 0.2408, 0.221, 0.2682, 0.2394, 0.2237, 0.2448, 0.2631, 0.3107, 0.2816, 0.2525, 0.2265, 0.2405, 0.1834, 0.1049, 0.1395, 0.1065, 0.1383, 0.1748, 0.1329, 0.1252, 0.0845, 0.034, 0.0082, 0.0291, 0.0045, -0.0538, -0.0733, -0.0248, -0.0291, 0.0, 0.002, 0.003, -0.0608, -0.0003, 0.0437, 0.0266, -0.0068, 0.0168, 0.0604, 0.0574, 0.0456, 0.0079, -0.0331, -0.0253, -0.0566, -0.0611, -0.0216, -0.0148, -0.0278, -0.0296, -0.0387, -0.0346, -0.0341, -0.0208, -0.0267, -0.0144, 0.0128, 0.0513, 0.062, 0.0273, 0.0155, 0.0091, 0.0144, 0.0751, 0.0894, 0.0756, 0.0719, 0.0375, -0.0274, -0.0144, -0.0187, -0.0179, -0.0292, -0.0087, -0.0109, -0.0675, -0.089, -0.1782, -0.2144, -0.2427, -0.3528, -0.2695, -0.2653, -0.2865, -0.3095, -0.3127, -0.2814, -0.2898, -0.2982, -0.3104, -0.3084, -0.2992, -0.3367, -0.34, -0.2853, -0.2927, -0.3172, -0.2853, -0.2953, -0.2472, -0.2666, -0.2969, -0.2931, -0.2773, -0.2734, -0.2683, -0.2624, -0.1982, -0.2089, -0.2426, -0.2609, -0.256, -0.2529, -0.2545, -0.2481, -0.2799, -0.3047, -0.2975, -0.2755, -0.2708, -0.2909, -0.2912, -0.2716, -0.2324, -0.2454, -0.2421, -0.2261, -0.1971, -0.2066, -0.1972, -0.197, -0.1742, -0.1986, -0.1938, -0.1756, -0.1826, -0.1898, -0.1923, -0.2002, -0.2093, -0.2059, -0.1892, -0.1716, -0.1631, -0.162, -0.1797, -0.1761, -0.1622, -0.1798, -0.1893, -0.1756, -0.1961, -0.2234, -0.2276, -0.2209, -0.2197]}
{"unit_id": "thread:1030110356260184067", "ticker_idx": 0, "ts": "2018-08-16T15:13:42+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$TSLA will be worth $4,000 in five years. At a 15% discount rate, $TSLA should be priced at $2,000 today", "tweet_type": "prediction", "timeline": "years", "summary": "Long TSLA with $4,000 five-year target ($2,000 fair value today at 15% discount) on autonomous taxi network opportunity, excluding trucks, energy storage, and China.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "self_thread", "lang": "en", "tweet_text": "@ARKInvest believes that the most inefficiently priced companies and stocks in the market are those in the public equity market focused on innovation. $TSLA is the poster child for this inefficiency today. In this blog, @TashaARK offers great perspective!\n\n---\n\nIf @ARKInvest's analysis of the autonomous taxi network opportunity is correct, $TSLA will be worth $4,000 in five years.  At a 15% discount rate, $TSLA should be priced at $2,000 today...and we aren't including trucks, energy storage, or China in that calculation!", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.009658649974110478, "ret_signed_m1d": 0.009658649974110478, "alpha_spy_m1d": 0.01768537295855066, "alpha_c_m1d": 0.01455165338183051, "bench_spy_m1d": -0.008026722984440182, "bench_c_m1d": -0.004893003407720031, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.08928302310985059, "ret_signed_p1d": -0.08928302310985059, "alpha_spy_p1d": -0.09280324704477116, "alpha_c_p1d": -0.09017245418011177, "bench_spy_p1d": 0.0035202239349205744, "bench_c_p1d": 0.0008894310702611818, "ret_p1w": -0.04575939585291966, "ret_signed_p1w": -0.04575939585291966, "alpha_spy_p1w": -0.051849454063000344, "alpha_c_p1w": -0.06186077974278237, "bench_spy_p1w": 0.006090058210080684, "bench_c_p1w": 0.016101383889862708, "ret_p1m": -0.11998803905592803, "ret_signed_p1m": -0.11998803905592803, "alpha_spy_p1m": -0.14399686070527795, "alpha_c_p1m": -0.16010859192797633, "bench_spy_p1m": 0.02400882164934992, "bench_c_p1m": 0.0401205528720483, "ret_p3m": 0.009777969431873146, "ret_signed_p3m": 0.009777969431873146, "alpha_spy_p3m": 0.047687049244695134, "alpha_c_p3m": 0.048279382197375376, "bench_spy_p3m": -0.03790907981282199, "bench_c_p3m": -0.03850141276550223, "ret_p6m": -0.08838868155581314, "ret_signed_p6m": -0.08838868155581314, "alpha_spy_p6m": -0.050442324440831854, "alpha_c_p6m": -0.048012251939490214, "bench_spy_p6m": -0.03794635711498129, "bench_c_p6m": -0.04037642961632293, "price_path": [-0.1519, -0.1802, -0.1681, -0.1717, -0.1687, -0.1687, -0.1541, -0.1304, -0.1512, -0.1301, -0.1154, -0.1321, -0.0475, -0.0577, -0.053, -0.01, 0.0218, 0.0278, 0.0664, 0.0677, 0.1055, 0.051, 0.0798, 0.036, -0.0054, -0.0073, 0.0195, 0.027, 0.0432, 0.0224, -0.0011, -0.0733, -0.0733, -0.0784, -0.0791, -0.0505, -0.0387, -0.0492, -0.0559, -0.0494, -0.0756, -0.038, -0.0346, -0.0454, -0.0652, -0.0961, -0.1133, -0.0796, -0.0859, -0.1141, -0.135, -0.1112, -0.1032, 0.042, 0.0379, 0.0195, 0.1315, 0.104, 0.0507, 0.0597, 0.0625, 0.0363, 0.0097, 0.0, -0.0893, -0.0805, -0.0404, -0.0412, -0.0458, -0.0377, -0.0482, -0.0703, -0.0907, -0.0963, -0.1007, -0.1007, -0.1386, -0.1631, -0.1625, -0.2153, -0.1489, -0.167, -0.1339, -0.1371, -0.12, -0.1211, -0.1505, -0.1086, -0.1107, -0.1084, -0.1066, -0.1027, -0.0771, -0.0833, -0.2107, -0.0738, -0.1026, -0.1212, -0.1598, -0.2191, -0.2531, -0.2166, -0.2342, -0.2481, -0.2286, -0.2261, -0.1755, -0.1898, -0.2133, -0.2249, -0.2221, -0.1231, -0.14, -0.0614, -0.0136, -0.0018, -0.0165, 0.0056, 0.0263, 0.0327, 0.0177, 0.0167, 0.0379, 0.0475, 0.0449, -0.0124, 0.0098, 0.0255, 0.0387, 0.0562, 0.0537, 0.0359, 0.0082, 0.0082, -0.0287, 0.0315, 0.0252, 0.037, 0.0171, 0.0448, 0.0687, 0.0723, 0.0723, 0.0823, 0.0671, 0.0885, 0.0933, 0.0929, 0.1232, 0.0902, 0.0387, 0.0047, -0.0074, -0.0598, -0.0467, -0.1194, -0.1194, -0.0279, -0.0576, -0.0047, -0.0079, -0.0079, -0.0755, -0.1046, -0.0529, -0.0015, -0.0003, 0.0092, 0.0284, 0.0352, -0.0031, 0.0268, 0.0316, 0.0354, -0.0989, -0.0989, -0.1089, -0.1427, -0.131, -0.1145, -0.1165, -0.1133, -0.0795, -0.0848, -0.0693, -0.0673, -0.042, -0.0543, -0.0833, -0.0884]}
{"unit_id": "quote:885348150550163456", "ticker_idx": 0, "ts": "2017-07-13T04:00:22+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": false, "explicit_audit": "kept_implicit", "polarity_reversed": false, "quote": "Yesterday's move seemed somewhat cathartic and stopped at May's support. I'm not a technician but sense that's how they would view this one.", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Implies crypto found support at May lows, reading the bounce as a cathartic bottom signal.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Yesterday's move seemed somewhat cathartic and stopped at May's support. I'm not a technician but sense that's how they would view this one. https://t.co/DEopuM4NWy", "reply_text": null, "parent_text": null, "quoted_text": "Damage not undone: today's bounce only retraced half of monday's crypto crash. https://t.co/SWrovpo7OV", "parent_author": null, "ret_m1d": 0.017362987082776726, "ret_signed_m1d": 0.017362987082776726, "alpha_spy_m1d": 0.019040328664018613, "alpha_c_m1d": null, "bench_spy_m1d": -0.0016773415812418868, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.052826591293936076, "ret_signed_p1d": -0.052826591293936076, "alpha_spy_p1d": -0.05749043483204064, "alpha_c_p1d": null, "bench_spy_p1d": 0.004663843538104562, "bench_c_p1d": null, "ret_p1w": 0.19496170929714118, "ret_signed_p1w": 0.19496170929714118, "alpha_spy_p1w": 0.18399694486182638, "alpha_c_p1w": null, "bench_spy_p1w": 0.0109647644353148, "bench_c_p1w": null, "ret_p1m": 0.5482506757639658, "ret_signed_p1m": 0.5482506757639658, "alpha_spy_p1m": 0.5494782330274631, "alpha_c_p1m": null, "bench_spy_p1m": -0.0012275572634973253, "bench_c_p1m": null, "ret_p3m": 1.0280717725216864, "ret_signed_p3m": 1.0280717725216864, "alpha_spy_p3m": 0.9811706883179496, "alpha_c_p3m": null, "bench_spy_p3m": 0.04690108420373673, "bench_c_p3m": null, "ret_p6m": 6.391959252670182, "ret_signed_p6m": 6.391959252670182, "alpha_spy_p6m": 6.26201321031007, "alpha_c_p6m": null, "bench_spy_p6m": 0.1299460423601111, "bench_c_p6m": null, "price_path": [-0.4937, -0.4861, -0.4867, -0.4787, -0.4817, -0.4698, -0.4633, -0.4567, -0.4411, -0.4417, -0.3971, -0.3839, -0.368, -0.3479, -0.3403, -0.2691, -0.2555, -0.2421, -0.216, -0.2687, -0.2627, -0.2644, -0.22, -0.199, -0.157, -0.0782, -0.0159, 0.0364, -0.0224, -0.0659, -0.0434, -0.0774, -0.0303, 0.0212, 0.0554, 0.1395, 0.2143, 0.1587, 0.1899, 0.1976, 0.128, 0.1523, 0.063, 0.0452, 0.0681, 0.0983, 0.1543, 0.1405, 0.1474, 0.1641, 0.0511, 0.0825, 0.092, 0.0769, 0.0521, 0.0874, 0.1034, 0.1035, 0.1063, 0.0682, 0.0062, -0.0085, 0.0174, 0.0, -0.0528, -0.0549, -0.0165, -0.0358, 0.195, 0.1314, 0.1684, 0.0927, 0.0728, 0.1331, 0.1913, 0.2194, 0.1528, 0.1496, 0.1895, 0.2282, 0.433, 0.4504, 0.4176, 0.434, 0.5483, 0.8343, 0.7736, 0.8562, 0.8371, 0.7645, 0.6972, 0.7391, 0.7607, 0.8384, 0.854, 0.8587, 0.942, 0.9362, 0.9947, 1.0747, 0.7966, 0.8561, 0.9497, 0.9508, 0.7934, 0.7648, 0.7519, 0.6466, 0.338, 0.5427, 0.7241, 0.6646, 0.6565, 0.5399, 0.5398, 0.6651, 0.6508, 0.7815, 0.7705, 0.7656, 0.87, 0.8311, 0.7937, 0.8357, 0.8537, 1.0238, 1.0281, 1.0469, 1.3101, 1.395, 1.4283, 1.3773, 1.371, 1.421, 1.5495, 1.5151, 1.3439, 1.4389, 1.5043, 1.4517, 1.6, 1.7433, 1.8701, 2.002, 2.0569, 1.9784, 2.03, 2.1637, 2.0296, 1.8068, 1.7819, 1.8143, 2.1026, 2.3384, 2.2694, 2.4779, 2.4231, 2.5004, 2.4093, 2.5004, 3.164, 3.266, 3.1938, 3.3401, 3.6548, 3.9439, 4.0539, 5.0611, 6.5914, 6.0272, 6.183, 6.386, 5.9588, 6.0249, 6.5096, 7.1065, 6.5392, 6.0506, 5.7021, 4.8662, 4.9488, 5.828, 5.7172, 5.1947, 5.2158, 4.7921, 5.354, 5.4468, 5.6157, 6.392]}
{"unit_id": "quote:1361529429114167299", "ticker_idx": 0, "ts": "2021-02-16T04:14:46+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Companies disrupting the traditional world order - like $TSLA and $SQ - are wise to hedge their fiat reserves with $BTC", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Endorses BTC as fiat hedge; singles out TSLA and SQ as wise disruptors positioned ahead of creative destruction.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Companies disrupting the traditional world order - like $TSLA and $SQ - are wise to hedge their fiat reserves with $BTC. Other companies in harm’s way because of disruptive innovation should be investing their cash in new technologies to avoid creative destruction.", "reply_text": null, "parent_text": null, "quoted_text": "Companies buying #Bitcoin: \"They don't know how else to mitigate risk.\"\n\n@elerianm talks inflation fears, Fed expectations, and the timing mismatch between public/official sector $BTC adoption.\n\n\"It's part of the distortion of financial markets that we're seeing more generally.\" https://t.co/eJiqOkAQjK", "parent_author": null, "ret_m1d": -0.025504385928348583, "ret_signed_m1d": -0.025504385928348583, "alpha_spy_m1d": -0.02637118267441374, "alpha_c_m1d": null, "bench_spy_m1d": 0.0008667967460651571, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.05994196027730325, "ret_signed_p1d": 0.05994196027730325, "alpha_spy_p1d": 0.059712496875713006, "alpha_c_p1d": null, "bench_spy_p1d": 0.00022946340159024636, "bench_c_p1d": null, "ret_p1w": -0.007631022280212729, "ret_signed_p1w": -0.007631022280212729, "alpha_spy_p1w": 0.004604407504069985, "alpha_c_p1w": null, "bench_spy_p1w": -0.012235429784282714, "bench_c_p1w": null, "ret_p1m": 0.19656603203435097, "ret_signed_p1m": 0.19656603203435097, "alpha_spy_p1m": 0.18392264874440056, "alpha_c_p1m": null, "bench_spy_p1m": 0.012643383289950405, "bench_c_p1m": null, "ret_p3m": 0.013834671664139098, "ret_signed_p3m": 0.013834671664139098, "alpha_spy_p3m": -0.051534822070741226, "alpha_c_p3m": null, "bench_spy_p3m": 0.06536949373488032, "bench_c_p3m": null, "ret_p6m": -0.0732976386895069, "ret_signed_p6m": -0.0732976386895069, "alpha_spy_p6m": -0.21194183253845045, "alpha_c_p6m": null, "bench_spy_p6m": 0.13864419384894355, "bench_c_p6m": null, "price_path": [-0.6379, -0.6215, -0.6267, -0.6116, -0.6193, -0.6514, -0.6523, -0.6011, -0.6178, -0.6097, -0.6048, -0.6199, -0.6099, -0.6276, -0.6229, -0.6288, -0.6329, -0.6088, -0.6053, -0.5669, -0.5365, -0.5297, -0.5365, -0.5166, -0.5276, -0.5176, -0.4987, -0.4495, -0.4439, -0.4138, -0.4105, -0.403, -0.3502, -0.3091, -0.2515, -0.1998, -0.1708, -0.2771, -0.3105, -0.2415, -0.2035, -0.2515, -0.2555, -0.2669, -0.2775, -0.3735, -0.3291, -0.3421, -0.338, -0.3815, -0.3198, -0.3025, -0.3183, -0.2782, -0.2384, -0.2495, -0.2247, -0.061, -0.0553, -0.087, -0.0262, -0.0345, -0.0255, 0.0, 0.0599, 0.0504, 0.1359, 0.1018, -0.0076, 0.0103, -0.0428, -0.0581, 0.0088, -0.0167, 0.0272, -0.013, -0.0055, 0.0619, 0.1143, 0.1384, 0.1749, 0.1653, 0.1363, 0.1546, 0.1966, 0.176, 0.1859, 0.1083, 0.1126, 0.0727, 0.0509, 0.1207, 0.1738, 0.1975, 0.1975, 0.2011, 0.207, 0.2004, 0.1828, 0.1392, 0.1854, 0.1838, 0.2173, 0.2907, 0.2827, 0.2869, 0.2515, 0.1326, 0.1478, 0.0957, 0.0521, 0.0385, 0.098, 0.1186, 0.1143, 0.0885, 0.1738, 0.1626, 0.084, 0.1672, 0.1463, 0.1658, 0.1354, 0.1525, -0.001, 0.0105, 0.0138, -0.1151, -0.1279, -0.2479, -0.1711, -0.2418, -0.2133, -0.2195, -0.2013, -0.2188, -0.2744, -0.2412, -0.2544, -0.2363, -0.2031, -0.2501, -0.3179, -0.3197, -0.241, -0.254, -0.2412, -0.1825, -0.1787, -0.2206, -0.2266, -0.2726, -0.3562, -0.3393, -0.3146, -0.2955, -0.357, -0.3001, -0.271, -0.2878, -0.3176, -0.311, -0.3141, -0.3042, -0.3119, -0.3318, -0.313, -0.3261, -0.3353, -0.3329, -0.354, -0.3613, -0.3736, -0.3942, -0.3473, -0.3432, -0.3174, -0.2411, -0.199, -0.1871, -0.1868, -0.1416, -0.2032, -0.2245, -0.1921, -0.1693, -0.1297, -0.0576, -0.0735, -0.0733]}
{"unit_id": "quote:1361529429114167299", "ticker_idx": 1, "ts": "2021-02-16T04:14:46+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Companies disrupting the traditional world order - like $TSLA and $SQ - are wise to hedge their fiat reserves with $BTC", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Endorses BTC as fiat hedge; singles out TSLA and SQ as wise disruptors positioned ahead of creative destruction.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "Companies disrupting the traditional world order - like $TSLA and $SQ - are wise to hedge their fiat reserves with $BTC. Other companies in harm’s way because of disruptive innovation should be investing their cash in new technologies to avoid creative destruction.", "reply_text": null, "parent_text": null, "quoted_text": "Companies buying #Bitcoin: \"They don't know how else to mitigate risk.\"\n\n@elerianm talks inflation fears, Fed expectations, and the timing mismatch between public/official sector $BTC adoption.\n\n\"It's part of the distortion of financial markets that we're seeing more generally.\" https://t.co/eJiqOkAQjK", "parent_author": null, "ret_m1d": 0.0249930836995389, "ret_signed_m1d": 0.0249930836995389, "alpha_spy_m1d": 0.02412628695347374, "alpha_c_m1d": 0.02062936855880837, "bench_spy_m1d": 0.0008667967460651571, "bench_c_m1d": 0.004363715140730529, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0024238672272682837, "ret_signed_p1d": 0.0024238672272682837, "alpha_spy_p1d": 0.0021944038256780374, "alpha_c_p1d": -0.0033549343720911118, "bench_spy_p1d": 0.00022946340159024636, "bench_c_p1d": 0.0057788015993593955, "ret_p1w": -0.12230290153464829, "ret_signed_p1w": -0.12230290153464829, "alpha_spy_p1w": -0.11006747175036558, "alpha_c_p1w": -0.09499997410034944, "bench_spy_p1w": -0.012235429784282714, "bench_c_p1w": -0.02730292743429885, "ret_p1m": -0.11857281363841554, "ret_signed_p1m": -0.11857281363841554, "alpha_spy_p1m": -0.13121619692836595, "alpha_c_p1m": -0.1187495586504611, "bench_spy_p1m": 0.012643383289950405, "bench_c_p1m": 0.00017674501204556492, "ret_p3m": -0.2593253347247957, "ret_signed_p3m": -0.2593253347247957, "alpha_spy_p3m": -0.324694828459676, "alpha_c_p3m": -0.2677651671746544, "bench_spy_p3m": 0.06536949373488032, "bench_c_p3m": 0.008439832449858686, "ret_p6m": -0.11102461743027303, "ret_signed_p6m": -0.11102461743027303, "alpha_spy_p6m": -0.24966881127921658, "alpha_c_p6m": -0.1875637492264849, "bench_spy_p6m": 0.13864419384894355, "bench_c_p6m": 0.07653913179621186, "price_path": [-0.3729, -0.3851, -0.3446, -0.3025, -0.2791, -0.2791, -0.2643, -0.2871, -0.2656, -0.2856, -0.2548, -0.2476, -0.194, -0.1838, -0.2408, -0.2124, -0.2339, -0.1964, -0.2047, -0.2178, -0.1762, -0.1271, -0.1838, -0.1958, -0.1887, -0.1689, -0.1689, -0.1664, -0.1636, -0.1274, -0.1137, -0.1137, -0.0835, -0.0768, -0.0505, 0.0249, 0.1052, 0.0188, 0.0668, 0.0731, 0.0613, 0.0376, 0.0376, 0.0607, 0.0681, 0.0613, 0.0633, 0.1062, 0.1091, 0.0853, 0.0492, -0.0034, 0.0547, 0.0962, 0.0734, 0.0675, 0.0703, 0.0844, 0.0669, 0.0108, 0.0194, 0.025, 0.025, 0.0, 0.0024, -0.0111, -0.0187, -0.1026, -0.1223, -0.0681, -0.1432, -0.1516, -0.0977, -0.1379, -0.1796, -0.2195, -0.249, -0.2929, -0.154, -0.161, -0.1213, -0.1287, -0.1109, -0.1499, -0.1186, -0.1797, -0.1775, -0.1585, -0.1684, -0.2084, -0.1957, -0.2229, -0.2323, -0.2017, -0.1611, -0.1689, -0.1689, -0.1321, -0.1314, -0.1573, -0.1412, -0.1497, -0.1184, -0.0426, -0.0804, -0.0721, -0.0709, -0.1025, -0.097, -0.0654, -0.0961, -0.0839, -0.0729, -0.1149, -0.1279, -0.1497, -0.109, -0.1398, -0.154, -0.1573, -0.1666, -0.1555, -0.21, -0.2248, -0.2591, -0.282, -0.2593, -0.2755, -0.2742, -0.2923, -0.263, -0.2705, -0.2384, -0.2405, -0.2224, -0.2077, -0.2148, -0.2148, -0.2164, -0.24, -0.2806, -0.2476, -0.24, -0.2419, -0.248, -0.2337, -0.234, -0.2242, -0.2472, -0.2403, -0.2256, -0.2172, -0.2203, -0.2167, -0.1754, -0.1462, -0.1562, -0.135, -0.145, -0.1463, -0.1486, -0.1473, -0.1473, -0.1716, -0.1904, -0.1801, -0.1749, -0.1388, -0.1604, -0.1794, -0.1829, -0.1909, -0.1884, -0.1705, -0.177, -0.1846, -0.192, -0.1741, -0.1902, -0.1874, -0.1493, -0.1369, -0.1087, -0.1086, -0.1071, -0.1025, -0.122, -0.1036, -0.1083, -0.111]}
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{"unit_id": "quote:824421321631211520", "ticker_idx": 0, "ts": "2017-01-26T00:58:54+00:00", "symbol": "AMZN", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Logistics-as-a-service...! $AMZN", "tweet_type": "news_reaction", "timeline": "unspecified", "summary": "Bullish on Amazon's ocean freight expansion as a logistics-as-a-service growth avenue.", "resolved_tickers": ["AMZN"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Internet Retail'", "bench_c_industry": "Internet Retail", "unit_kind": "quote", "lang": "en", "tweet_text": "Logistics-as-a-service...! $AMZN https://t.co/eDbmIMhRZa", "reply_text": null, "parent_text": null, "quoted_text": "Amazon is expanding into ocean freight https://t.co/klhasTMw0w", "parent_author": null, "ret_m1d": -0.003134129600332103, "ret_signed_m1d": -0.003134129600332103, "alpha_spy_m1d": -0.004180517458348798, "alpha_c_m1d": -0.0016104761030035775, "bench_spy_m1d": 0.0010463878580166952, "bench_c_m1d": -0.0015236534973285254, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.004027854767751027, "ret_signed_p1d": -0.004027854767751027, "alpha_spy_p1d": -0.0024579647209356237, "alpha_c_p1d": -0.0008635699352464998, "bench_spy_p1d": -0.0015698900468154031, "bench_c_p1d": -0.003164284832504527, "ret_p1w": 0.000953367457330101, "ret_signed_p1w": 0.000953367457330101, "alpha_spy_p1w": 0.007755967443704992, "alpha_c_p1w": 0.009508340128346005, "bench_spy_p1w": -0.006802599986374891, "bench_c_p1w": -0.008554972671015904, "ret_p1m": 0.007257357481066151, "ret_signed_p1m": 0.007257357481066151, "alpha_spy_p1m": -0.025054356668397393, "alpha_c_p1m": -0.011376143304783648, "bench_spy_p1m": 0.032311714149463544, "bench_c_p1m": 0.0186335007858498, "ret_p3m": 0.08159447115972518, "ret_signed_p3m": 0.08159447115972518, "alpha_spy_p3m": 0.03686520494441248, "alpha_c_p3m": 0.029352737487375213, "bench_spy_p3m": 0.0447292662153127, "bench_c_p3m": 0.052241733672349966, "ret_p6m": 0.22227254035332789, "ret_signed_p6m": 0.22227254035332789, "alpha_spy_p6m": 0.13578917728833773, "alpha_c_p6m": 0.14783943427207857, "bench_spy_p6m": 0.08648336306499016, "bench_c_p6m": 0.07443310608124931, "price_path": [-0.0588, -0.064, -0.0877, -0.0859, -0.1002, -0.0646, -0.0613, -0.0802, -0.1153, -0.1193, -0.1431, -0.1143, -0.1104, -0.0986, -0.0941, -0.0705, -0.0641, -0.0703, -0.0703, -0.07, -0.0863, -0.0913, -0.1056, -0.1138, -0.1178, -0.0951, -0.0887, -0.0819, -0.0856, -0.084, -0.0942, -0.0772, -0.0838, -0.0931, -0.097, -0.0872, -0.081, -0.0817, -0.0868, -0.0936, -0.0936, -0.0807, -0.0799, -0.0882, -0.1064, -0.1064, -0.1019, -0.0977, -0.07, -0.0514, -0.0503, -0.0515, -0.0478, -0.0304, -0.0262, -0.0262, -0.0351, -0.0377, -0.0359, -0.0367, -0.0253, -0.0199, -0.0031, 0.0, -0.004, -0.0105, -0.0187, -0.0081, 0.001, -0.0345, -0.0375, -0.0318, -0.0232, -0.0212, -0.0139, -0.0031, -0.0033, 0.0042, 0.0059, 0.0071, 0.0071, 0.0206, 0.0196, 0.0155, 0.0073, 0.0113, 0.007, 0.0166, 0.0116, 0.0128, 0.0089, 0.0082, 0.0135, 0.0165, 0.0159, 0.0184, 0.0159, 0.0165, 0.017, 0.0157, 0.0212, 0.0048, 0.0106, 0.0098, 0.0077, 0.0091, 0.0201, 0.0419, 0.0443, 0.0565, 0.0624, 0.0807, 0.0836, 0.0705, 0.0664, 0.0809, 0.0753, 0.068, 0.0542, 0.0542, 0.0749, 0.077, 0.0716, 0.075, 0.0708, 0.0813, 0.0816, 0.0836, 0.0944, 0.1023, 0.13, 0.1285, 0.1214, 0.1172, 0.1132, 0.131, 0.1355, 0.1308, 0.1293, 0.1456, 0.1416, 0.1512, 0.1259, 0.1422, 0.1438, 0.1567, 0.1578, 0.1683, 0.1838, 0.1867, 0.1867, 0.1877, 0.1853, 0.1869, 0.1997, 0.2052, 0.1953, 0.2037, 0.2039, 0.1658, 0.1499, 0.1688, 0.1636, 0.149, 0.177, 0.1859, 0.1829, 0.1943, 0.1932, 0.1961, 0.1845, 0.164, 0.1802, 0.163, 0.1535, 0.1365, 0.1365, 0.1576, 0.1501, 0.1664, 0.1875, 0.1847, 0.1994, 0.1924, 0.1938, 0.2036, 0.2208, 0.2237, 0.2259, 0.2223]}
{"unit_id": "quote:931622444049166337", "ticker_idx": 0, "ts": "2017-11-17T20:37:54+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Today $TSLA's announcement validated our research on #trucks, including the forecast that shipping costs will be lower via trucks than via #rail", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish TSLA: announcement validates ARK's autonomous truck thesis showing trucks beat rail on shipping costs.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "Today $TSLA's announcement validated our research on #trucks, including the forecast that shipping costs will be lower via trucks than via #rail. Congratulations  @skorusARK, @TashaARK, and @wintonARK! https://t.co/7CSMuy78Rk", "reply_text": null, "parent_text": null, "quoted_text": "Elon is right. Trucks can beat rail. And autonomous makes it better. Here's our work showing how. https://t.co/oaOXob8zSF", "parent_author": null, "ret_m1d": -0.00809395743382435, "ret_signed_m1d": -0.00809395743382435, "alpha_spy_m1d": -0.011041307076150142, "alpha_c_m1d": -0.0037105835648847396, "bench_spy_m1d": 0.0029473496423257917, "bench_c_m1d": -0.004383373868939611, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.02002852395999022, "ret_signed_p1d": -0.02002852395999022, "alpha_spy_p1d": -0.021734926958156153, "alpha_c_p1d": -0.02195256249002009, "bench_spy_p1d": 0.0017064029981659345, "bench_c_p1d": 0.0019240385300298701, "ret_p1w": 0.001587116360230123, "ret_signed_p1w": 0.001587116360230123, "alpha_spy_p1w": -0.008107863765972834, "alpha_c_p1w": -0.010065379086823256, "bench_spy_p1w": 0.009694980126202957, "bench_c_p1w": 0.01165249544705338, "ret_p1m": 0.07560711037573808, "ret_signed_p1m": 0.07560711037573808, "alpha_spy_p1m": 0.03019139595294318, "alpha_c_p1m": 0.015243668472186389, "bench_spy_p1m": 0.045415714422794906, "bench_c_p1m": 0.060363441903551696, "ret_p3m": 0.023044017800912586, "ret_signed_p3m": 0.023044017800912586, "alpha_spy_p3m": -0.02778972210845576, "alpha_c_p3m": -0.09653271321359269, "bench_spy_p3m": 0.05083373990936835, "bench_c_p3m": 0.11957673101450528, "ret_p6m": -0.07325817453012884, "ret_signed_p6m": -0.07325817453012884, "alpha_spy_p6m": -0.1415677462535201, "alpha_c_p6m": -0.20387724059401213, "bench_spy_p6m": 0.06830957172339125, "bench_c_p6m": 0.1306190660638833, "price_path": [0.0835, 0.1197, 0.1202, 0.1047, 0.0972, 0.1026, 0.121, 0.1297, 0.1281, 0.1281, 0.1096, 0.0936, 0.1129, 0.09, 0.1544, 0.1514, 0.1625, 0.1987, 0.2056, 0.222, 0.1906, 0.1868, 0.1632, 0.1144, 0.095, 0.0959, 0.0823, 0.0779, 0.0827, 0.0841, 0.105, 0.1268, 0.1279, 0.1328, 0.0885, 0.1287, 0.1255, 0.129, 0.1286, 0.1128, 0.1292, 0.1416, 0.1167, 0.0954, 0.0697, 0.0708, 0.0342, 0.0353, 0.0185, 0.016, 0.0523, 0.0191, -0.0501, -0.0284, -0.0389, -0.0286, -0.0338, -0.0383, -0.0383, 0.0011, -0.0202, -0.0119, -0.0081, 0.0, -0.02, 0.0088, -0.0078, -0.0078, 0.0016, 0.0056, 0.0079, -0.0238, -0.0197, -0.027, -0.0313, -0.036, -0.0057, -0.0121, 0.0003, 0.044, 0.0825, 0.0761, 0.0725, 0.0901, 0.0756, 0.0509, 0.0442, 0.0527, 0.0322, 0.0322, 0.0071, -0.0108, 0.001, -0.0117, -0.0117, 0.0174, 0.007, -0.0014, 0.0049, 0.0678, 0.0592, 0.0627, 0.0727, 0.0672, 0.0672, 0.0794, 0.1019, 0.0937, 0.111, 0.1159, 0.1198, 0.0979, 0.0717, 0.0882, 0.1094, 0.0977, 0.1246, 0.1086, 0.0911, 0.0574, 0.0601, 0.0951, 0.0006, -0.0147, 0.0022, 0.0273, 0.023, 0.0604, 0.0649, 0.0649, 0.0626, 0.0579, 0.0988, 0.1174, 0.1345, 0.1141, 0.0889, 0.0504, 0.0637, 0.0581, 0.0417, 0.0548, 0.0446, 0.0385, 0.0967, 0.085, 0.0368, 0.0335, 0.02, -0.0047, -0.0143, 0.0047, -0.0189, -0.0429, -0.0345, -0.1139, -0.1818, -0.1553, -0.1553, -0.1986, -0.1508, -0.0892, -0.0296, -0.05, -0.0806, -0.0329, -0.0448, -0.0666, -0.0467, -0.0757, -0.0868, -0.0689, -0.0475, -0.0787, -0.1006, -0.1003, -0.1091, -0.0939, -0.0666, -0.0671, -0.048, -0.0441, -0.0971, -0.0665, -0.039, -0.0415, -0.026, -0.0318, -0.0444, -0.0733]}
{"unit_id": "quote:1245142845973037064", "ticker_idx": 0, "ts": "2020-04-01T00:16:02+00:00", "symbol": "ILMN", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "#Grail, owned 20% by $ILMN, is going to save lots of lives from #cancer", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish ILMN as 20% owner of Grail, whose multi-cancer blood test detects ~2/3 of deadly cancers in early stages.", "resolved_tickers": ["ILMN"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLV", "bench_c_reason": "industry='Diagnostics & Research'", "bench_c_industry": "Diagnostics & Research", "unit_kind": "quote", "lang": "en", "tweet_text": "Impressive.  #Grail, owned 20% by $ILMN, is going to save lots of lives from #cancer. Its blood tests detected roughly two-thirds of the most deadly cancers in Stages 1-3.", "reply_text": null, "parent_text": null, "quoted_text": "We’re excited to announce the publication of validation data from our multi-cancer early detection test in @Annals_Oncology, supporting its ability to detect more than 50 types of cancer through a single blood draw #DetectCancerEarly. https://t.co/L0Un2ReQJw https://t.co/Gt9IEYXUHT", "parent_author": null, "ret_m1d": 0.06496144792518743, "ret_signed_m1d": 0.06496144792518743, "alpha_spy_m1d": 0.0178358153350755, "alpha_c_m1d": 0.025411974927142644, "bench_spy_m1d": 0.04712563259011193, "bench_c_m1d": 0.03954947299804479, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0644545234022611, "ret_signed_p1d": 0.0644545234022611, "alpha_spy_p1d": 0.04137920062915201, "alpha_c_p1d": 0.036758071717452934, "bench_spy_p1d": 0.023075322773109086, "bench_c_p1d": 0.027696451684808165, "ret_p1w": 0.09564848600948261, "ret_signed_p1w": 0.09564848600948261, "alpha_spy_p1w": -0.017616038063923867, "alpha_c_p1w": -0.011146615910292867, "bench_spy_p1w": 0.11326452407340648, "bench_c_p1w": 0.10679510191977548, "ret_p1m": 0.24397565343292738, "ret_signed_p1m": 0.24397565343292738, "alpha_spy_p1m": 0.06388203228802225, "alpha_c_p1m": 0.07357298156638592, "bench_spy_p1m": 0.18009362114490512, "bench_c_p1m": 0.17040267186654146, "ret_p3m": 0.41273491284849384, "ret_signed_p3m": 0.41273491284849384, "alpha_spy_p3m": 0.17040383198384523, "alpha_c_p3m": 0.2531665624039008, "bench_spy_p3m": 0.2423310808646486, "bench_c_p3m": 0.15956835044459305, "ret_p6m": 0.11639251273458262, "ret_signed_p6m": 0.11639251273458262, "alpha_spy_p6m": -0.20891429494487346, "alpha_c_p6m": -0.08328360911939403, "bench_spy_p6m": 0.3253068076794561, "bench_c_p6m": 0.19967612185397665, "price_path": [0.2584, 0.2693, 0.2855, 0.2952, 0.3047, 0.3083, 0.26, 0.2365, 0.2493, 0.271, 0.2662, 0.2662, 0.2802, 0.2905, 0.2751, 0.2461, 0.2241, 0.2255, 0.2216, 0.1542, 0.1311, 0.1441, 0.1542, 0.1711, 0.1746, 0.1475, 0.148, 0.1542, 0.1436, 0.1362, 0.1656, 0.1656, 0.1695, 0.1823, 0.1716, 0.1539, 0.0962, 0.0526, 0.0711, 0.0135, 0.0359, 0.0851, 0.0645, 0.1001, 0.0763, 0.07, 0.013, 0.0456, -0.0407, -0.1294, -0.0902, -0.1772, -0.1197, -0.1843, -0.1235, -0.0564, -0.0729, -0.0089, -0.0317, 0.07, 0.0491, 0.0771, 0.065, 0.0, 0.0645, 0.0275, 0.084, 0.0943, 0.0956, 0.1215, 0.1215, 0.1286, 0.1615, 0.1475, 0.1834, 0.2336, 0.259, 0.2103, 0.2148, 0.2193, 0.2051, 0.2266, 0.2235, 0.2378, 0.244, 0.1927, 0.2017, 0.2097, 0.2284, 0.2219, 0.2083, 0.249, 0.2538, 0.261, 0.2594, 0.3062, 0.3419, 0.3357, 0.3949, 0.3625, 0.3831, 0.3831, 0.3819, 0.4186, 0.4545, 0.4156, 0.4248, 0.4273, 0.3972, 0.3975, 0.3808, 0.3991, 0.3951, 0.4, 0.3137, 0.332, 0.3586, 0.3844, 0.4063, 0.4151, 0.4379, 0.4056, 0.431, 0.3996, 0.4281, 0.404, 0.4127, 0.4441, 0.4371, 0.4548, 0.4548, 0.4793, 0.451, 0.4422, 0.4529, 0.4437, 0.4393, 0.4671, 0.4908, 0.4656, 0.4959, 0.5543, 0.5201, 0.5274, 0.5069, 0.4905, 0.5326, 0.5028, 0.5023, 0.4926, 0.4901, 0.5514, 0.5351, 0.5626, 0.5571, 0.3868, 0.3778, 0.3305, 0.3419, 0.3785, 0.3552, 0.3808, 0.3884, 0.3778, 0.3827, 0.3767, 0.3603, 0.3684, 0.3786, 0.3691, 0.3803, 0.3929, 0.3563, 0.4214, 0.3512, 0.3351, 0.3351, 0.3294, 0.353, 0.3496, 0.3645, 0.379, 0.3733, 0.2574, 0.1621, 0.1522, 0.0533, 0.047, 0.0645, 0.1164]}
{"unit_id": "quote:1148150527726895105", "ticker_idx": 0, "ts": "2019-07-08T08:43:12+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": ".@ARKInvest's research corroborates this outlook.", "tweet_type": "prediction", "timeline": "unspecified", "summary": "ARK endorses Elon's view that Tesla vehicles will command significantly higher prices as autonomous robotaxis, implying bullish TSLA.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": ".@ARKInvest’s research corroborates this outlook.", "reply_text": null, "parent_text": null, "quoted_text": "@DisruptResearch @flcnhvy @lexfridman @Tesla To be clear, consumers will still be able to buy a Tesla, but the clearing price will rise significantly, as a fully autonomous car that can function as a robotaxi is several times more valuable than a non-autonomous car", "parent_author": null, "ret_m1d": 0.011982288089262383, "ret_signed_m1d": 0.011982288089262383, "alpha_spy_m1d": 0.006457155123180902, "alpha_c_m1d": 0.01321326193085215, "bench_spy_m1d": 0.005525132966081481, "bench_c_m1d": -0.0012309738415897664, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.0012156304463569745, "ret_signed_p1d": -0.0012156304463569745, "alpha_spy_p1d": -0.002462178587023911, "alpha_c_p1d": -0.0022825187658811474, "bench_spy_p1d": 0.0012465481406669365, "bench_c_p1d": 0.001066888319524173, "ret_p1w": 0.10054699643825371, "ret_signed_p1w": 0.10054699643825371, "alpha_spy_p1w": 0.08730678110288337, "alpha_c_p1w": 0.0789629023090117, "bench_spy_p1w": 0.013240215335370342, "bench_c_p1w": 0.021584094129242004, "ret_p1m": 0.0017799726281311212, "ret_signed_p1m": 0.0017799726281311212, "alpha_spy_p1m": 0.03216860147401612, "alpha_c_p1m": 0.044208978214684724, "bench_spy_p1m": -0.030388628845885002, "bench_c_p1m": -0.0424290055865536, "ret_p3m": 0.011678349425500612, "ret_signed_p3m": 0.011678349425500612, "alpha_spy_p3m": 0.02872170079204106, "alpha_c_p3m": 0.039156092334735604, "bench_spy_p3m": -0.01704335136654045, "bench_c_p3m": -0.027477742909234992, "ret_p6m": 0.8161413291186841, "ret_signed_p6m": 0.8161413291186841, "alpha_spy_p6m": 0.7214169593694486, "alpha_c_p6m": 0.7800237654323259, "bench_spy_p6m": 0.09472436974923548, "bench_c_p6m": 0.03611756368635821, "price_path": [0.1985, 0.1653, 0.1622, 0.1565, 0.1868, 0.1775, 0.1863, 0.1863, 0.1407, 0.1457, 0.1229, 0.0751, 0.0208, 0.0483, 0.0363, 0.0159, 0.0597, 0.1072, 0.1085, 0.0726, 0.063, 0.0505, 0.0399, -0.0145, 0.0086, 0.007, -0.0087, -0.0838, -0.1084, -0.1097, -0.1633, -0.1513, -0.1724, -0.1724, -0.1808, -0.1757, -0.1829, -0.1961, -0.223, -0.1595, -0.1465, -0.1059, -0.1122, -0.0758, -0.0575, -0.0915, -0.0713, -0.0669, -0.0231, -0.0243, -0.017, -0.0465, -0.0368, -0.0291, -0.0459, -0.0481, -0.0326, -0.0299, -0.0138, -0.0251, 0.0198, 0.0198, 0.012, 0.0, -0.0012, 0.0372, 0.0359, 0.064, 0.1005, 0.0957, 0.1065, 0.1007, 0.1209, 0.11, 0.1295, 0.15, -0.0066, -0.01, 0.0236, 0.0517, 0.0489, 0.0152, 0.0174, -0.0088, 0.0018, 0.0134, 0.0346, 0.0203, -0.0058, 0.0202, -0.0465, -0.0638, -0.0452, -0.0152, -0.0194, -0.0413, -0.0356, -0.0822, -0.0666, -0.0706, -0.064, -0.0375, -0.0205, -0.0205, -0.0231, -0.0419, -0.0033, -0.0125, 0.0063, 0.0226, 0.0728, 0.0674, 0.0645, 0.0541, 0.0627, 0.0571, 0.0706, 0.0446, 0.0473, -0.031, -0.0071, 0.0531, 0.0512, 0.0457, 0.0623, 0.0555, 0.0117, 0.0047, 0.032, 0.0422, 0.0616, 0.0625, 0.0762, 0.1156, 0.1196, 0.1277, 0.1373, 0.1155, 0.1005, 0.1096, 0.1057, 0.301, 0.4245, 0.4227, 0.3728, 0.3676, 0.3672, 0.3602, 0.3783, 0.3772, 0.4178, 0.4567, 0.4637, 0.4982, 0.5192, 0.5026, 0.5167, 0.5289, 0.5194, 0.5608, 0.5291, 0.5405, 0.4459, 0.4602, 0.428, 0.4383, 0.4383, 0.4324, 0.4538, 0.4596, 0.4458, 0.4343, 0.4582, 0.474, 0.5145, 0.5312, 0.5615, 0.5559, 0.6562, 0.6454, 0.7068, 0.7541, 0.7608, 0.82, 0.8462, 0.8462, 0.8709, 0.8685, 0.8004, 0.8161]}
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{"unit_id": "quote:1032076988159352832", "ticker_idx": 0, "ts": "2018-08-22T01:28:23+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$TSLA is changing the world and making it a better place!", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish on TSLA; endorses strong demand narrative as world-changing.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "$TSLA is changing the world and making it a better place!", "reply_text": null, "parent_text": null, "quoted_text": "Tesla Model 3 in Australia: \"Staff were shocked at the demand and couldn't believe some people drove 8hrs just to be there\" #NoDemand $TSLA $TSLAP", "parent_author": null, "ret_m1d": 0.0008082985675406107, "ret_signed_m1d": 0.0008082985675406107, "alpha_spy_m1d": 0.0002145774982276194, "alpha_c_m1d": 0.0018579364313425772, "bench_spy_m1d": 0.0005937210693129913, "bench_c_m1d": -0.0010496378638019666, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.004787970396720964, "ret_signed_p1d": -0.004787970396720964, "alpha_spy_p1d": -0.003459846879672046, "alpha_c_p1d": -0.0038257604488896035, "bench_spy_p1d": -0.001328123517048918, "bench_c_p1d": -0.0009622099478313606, "ret_p1w": -0.051703800337533856, "ret_signed_p1w": -0.051703800337533856, "alpha_spy_p1w": -0.07025908547622217, "alpha_c_p1w": -0.07645689190574001, "bench_spy_p1w": 0.018555285138688316, "bench_c_p1w": 0.024753091568206154, "ret_p1m": -0.0724723680105902, "ret_signed_p1m": -0.0724723680105902, "alpha_spy_p1m": -0.09836615128726256, "alpha_c_p1m": -0.10273571712908047, "bench_spy_p1m": 0.025893783276672355, "bench_c_p1m": 0.030263349118490268, "ret_p3m": 0.09896155827368358, "ret_signed_p3m": 0.09896155827368358, "alpha_spy_p3m": 0.1543547609243081, "alpha_c_p3m": 0.18861310307179802, "bench_spy_p3m": -0.05539320265062453, "bench_c_p3m": -0.08965154479811444, "ret_p6m": -0.055559029589847375, "ret_signed_p6m": -0.055559029589847375, "alpha_spy_p6m": -0.024324279583419983, "alpha_c_p6m": -0.018267036370575473, "bench_spy_p6m": -0.031234750006427392, "bench_c_p6m": -0.0372919932192719, "price_path": [-0.133, -0.133, -0.1178, -0.093, -0.1148, -0.0927, -0.0774, -0.0949, -0.0067, -0.0173, -0.0124, 0.0325, 0.0657, 0.0719, 0.1122, 0.1136, 0.1529, 0.0961, 0.1262, 0.0804, 0.0373, 0.0354, 0.0633, 0.0711, 0.088, 0.0663, 0.0418, -0.0335, -0.0335, -0.0388, -0.0396, -0.0097, 0.0026, -0.0083, -0.0153, -0.0086, -0.0359, 0.0033, 0.0069, -0.0044, -0.0251, -0.0573, -0.0753, -0.0401, -0.0466, -0.076, -0.0978, -0.0731, -0.0647, 0.0867, 0.0825, 0.0633, 0.1801, 0.1514, 0.0958, 0.1052, 0.1081, 0.0808, 0.053, 0.0429, -0.0502, -0.041, 0.0008, 0.0, -0.0048, 0.0037, -0.0074, -0.0304, -0.0517, -0.0575, -0.0621, -0.0621, -0.1016, -0.1272, -0.1265, -0.1816, -0.1124, -0.1312, -0.0967, -0.1, -0.0822, -0.0833, -0.114, -0.0703, -0.0725, -0.0701, -0.0683, -0.0642, -0.0375, -0.0439, -0.1768, -0.034, -0.0641, -0.0834, -0.1238, -0.1856, -0.221, -0.1829, -0.2013, -0.2158, -0.1954, -0.1929, -0.1401, -0.155, -0.1795, -0.1916, -0.1887, -0.0855, -0.103, -0.0211, 0.0288, 0.0411, 0.0257, 0.0488, 0.0704, 0.077, 0.0614, 0.0604, 0.0825, 0.0925, 0.0898, 0.03, 0.0531, 0.0695, 0.0833, 0.1016, 0.099, 0.0804, 0.0515, 0.0515, 0.013, 0.0757, 0.0693, 0.0816, 0.0607, 0.0897, 0.1146, 0.1183, 0.1183, 0.1288, 0.113, 0.1353, 0.1403, 0.1398, 0.1715, 0.137, 0.0833, 0.0478, 0.0352, -0.0195, -0.0058, -0.0816, -0.0816, 0.0138, -0.0171, 0.038, 0.0347, 0.0347, -0.0358, -0.0662, -0.0123, 0.0414, 0.0426, 0.0525, 0.0725, 0.0797, 0.0397, 0.0709, 0.0759, 0.0798, -0.0603, -0.0603, -0.0706, -0.1059, -0.0937, -0.0765, -0.0785, -0.0752, -0.04, -0.0455, -0.0293, -0.0272, -0.0009, -0.0137, -0.0439, -0.0492, -0.0274, -0.0306, -0.0419, -0.0556]}
{"unit_id": "quote:1920290867757174820", "ticker_idx": 0, "ts": "2025-05-08T01:33:14+00:00", "symbol": "multiomics", "kind": "sector", "geography": "US", "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "The multiomics space is the most inefficiently priced part of the market", "tweet_type": "analysis", "timeline": "unspecified", "summary": "ARK/CathieWood bullish on multiomics sector, calling it the most underpriced part of the market despite initial negative reaction to Prasad's CBER appointment.", "resolved_tickers": ["ARKG"], "resolution_method": "etf", "resolution_reason": "Multiomics is part of genomics; ARKG is closest ETF", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "While the market’s initial response to the appointment of @VPrasadMDMPH to head the CBER was negative, @ARKInvest believes that he will add even more credibility to the @US_FDA’s innovation mindset. The multiomics space is the most inefficiently priced part of the market.", "reply_text": null, "parent_text": null, "quoted_text": "1/\n Vinay Prasad at CBER isn't a step back—it's a recalibration.\nDon't mistake scientific rigor for anti-innovation. He'll press for therapies that work, not just sound good.\nNo more $3M price tags for marginal gains.\nThe goal? Innovation that actually helps patients—not just", "parent_author": null, "ret_m1d": -0.04187758244740658, "ret_signed_m1d": -0.04187758244740658, "alpha_spy_m1d": -0.03495800609351152, "alpha_c_m1d": -0.03495800609351152, "bench_spy_m1d": -0.006919576353895063, "bench_c_m1d": -0.006919576353895063, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.02761161500733189, "ret_signed_p1d": -0.02761161500733189, "alpha_spy_p1d": -0.026337390344578604, "alpha_c_p1d": -0.026337390344578604, "bench_spy_p1d": -0.0012742246627532872, "bench_c_p1d": -0.0012742246627532872, "ret_p1w": -0.023930072191347906, "ret_signed_p1w": -0.023930072191347906, "alpha_spy_p1w": -0.06888115225598679, "alpha_c_p1w": -0.06888115225598679, "bench_spy_p1w": 0.04495108006463888, "bench_c_p1w": 0.04495108006463888, "ret_p1m": 0.07133001275018258, "ret_signed_p1m": 0.07133001275018258, "alpha_spy_p1m": 0.01101776816459954, "alpha_c_p1m": 0.01101776816459954, "bench_spy_p1m": 0.06031224458558304, "bench_c_p1m": 0.06031224458558304, "ret_p3m": 0.08996778485458079, "ret_signed_p3m": 0.08996778485458079, "alpha_spy_p3m": -0.024650815766394718, "alpha_c_p3m": -0.024650815766394718, "bench_spy_p3m": 0.11461860062097551, "bench_c_p3m": 0.11461860062097551, "ret_p6m": 0.43258167586518415, "ret_signed_p6m": 0.43258167586518415, "alpha_spy_p6m": 0.21859933539755483, "alpha_c_p6m": 0.21859933539755483, "bench_spy_p6m": 0.21398234046762932, "bench_c_p6m": 0.21398234046762932, "price_path": [0.2186, 0.2039, 0.2324, 0.2729, 0.3539, 0.3539, 0.3562, 0.3718, 0.3143, 0.2398, 0.2191, 0.1569, 0.1795, 0.1293, 0.133, 0.0649, 0.0828, 0.1035, 0.0686, 0.0736, 0.012, 0.0331, 0.0571, 0.0138, 0.0469, 0.0796, 0.0423, 0.063, 0.052, 0.0732, 0.1086, 0.081, 0.035, 0.0235, -0.0083, -0.0446, -0.0704, -0.0396, -0.0916, -0.1256, -0.1164, -0.156, -0.0538, -0.1091, -0.0322, -0.0175, -0.0189, -0.0428, -0.0488, -0.0488, -0.0598, -0.0198, 0.0018, 0.0331, 0.0308, 0.0285, 0.0253, 0.012, 0.0009, 0.0433, 0.0087, -0.064, -0.0419, 0.0, -0.0276, 0.0156, 0.0106, -0.0276, -0.0239, 0.0032, 0.0005, 0.0064, -0.0469, -0.0419, -0.0373, -0.0373, -0.0092, -0.029, -0.0327, -0.0373, -0.0041, 0.0179, 0.0405, 0.0244, 0.0713, 0.0948, 0.1146, 0.1169, 0.0884, 0.0801, 0.1008, 0.0893, 0.1114, 0.1114, 0.0953, 0.0851, 0.1104, 0.116, 0.1302, 0.1183, 0.1206, 0.1123, 0.1583, 0.1684, 0.1684, 0.1206, 0.1546, 0.1997, 0.2023, 0.1627, 0.1624, 0.1197, 0.145, 0.127, 0.1468, 0.1565, 0.1942, 0.2218, 0.1979, 0.1965, 0.1818, 0.133, 0.1275, 0.0962, 0.0842, 0.1118, 0.09, 0.0626, 0.0718, 0.0759, 0.0759, 0.1081, 0.1578, 0.1542, 0.1615, 0.1551, 0.1146, 0.1054, 0.1178, 0.1615, 0.1381, 0.1463, 0.1376, 0.1394, 0.1376, 0.1376, 0.1413, 0.144, 0.1459, 0.1744, 0.1726, 0.1786, 0.1404, 0.2052, 0.1781, 0.1933, 0.2218, 0.2089, 0.2699, 0.266, 0.2816, 0.266, 0.2425, 0.2273, 0.2384, 0.2549, 0.278, 0.3277, 0.3718, 0.3824, 0.3981, 0.3806, 0.4786, 0.4565, 0.3967, 0.3935, 0.404, 0.485, 0.4763, 0.4266, 0.5462, 0.503, 0.4068, 0.4441, 0.4671, 0.434, 0.4013, 0.3792, 0.3709, 0.4326]}
{"unit_id": "thread:1094097306947911681", "ticker_idx": 0, "ts": "2019-02-09T04:54:59+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$TSLA still is the largest position in our flagship strategy", "tweet_type": "position_disclosure", "timeline": "unspecified", "summary": "TSLA remains largest position in flagship strategy; trimmed only to manage concentration, not as a bearish call.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "self_thread", "lang": "en", "tweet_text": "Thank you, Matt.  We disclose our holdings and trades every day.  In the fourth quarter, $TSLA soared while $NVDA was cut in half.  Both will be critical to the future of #autonomousvehicles. We knew what to do with that trade!\n\n---\n\nCorrection: A self-imposed restriction, while I can’t buy a stock that is 10% or more of a portfolio.  we don’t have to sell such a position.  We can let it run.  Given the stocks that were crushed last quarter, we sold some $TSLA to fund our other high conviction stocks.\n\n---\n\nIf we had not sold $TSLA, it would have hit 15% of some of our portfolios.\n\n---\n\n$TSLA still is the largest position in our flagship strategy.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.02250353032328445, "ret_signed_m1d": -0.02250353032328445, "alpha_spy_m1d": -0.02194929361555109, "alpha_c_m1d": -0.02073298575485083, "bench_spy_m1d": -0.0005542367077333576, "bench_c_m1d": -0.0017705445684336185, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.003292499161602569, "ret_signed_p1d": -0.003292499161602569, "alpha_spy_p1d": -0.01615184694897165, "alpha_c_p1d": -0.018666936845540327, "bench_spy_p1d": 0.01285934778736908, "bench_c_p1d": 0.015374437683937758, "ret_p1w": -0.015854789099250644, "ret_signed_p1w": -0.015854789099250644, "alpha_spy_p1w": -0.04079751556287792, "alpha_c_p1w": -0.04138597337125138, "bench_spy_p1w": 0.024942726463627274, "bench_c_p1w": 0.02553118427200074, "ret_p1m": -0.09423349893379251, "ret_signed_p1m": -0.09423349893379251, "alpha_spy_p1m": -0.1270100368667877, "alpha_c_p1m": -0.12116234553972438, "bench_spy_p1m": 0.032776537932995176, "bench_c_p1m": 0.026928846605931867, "ret_p3m": -0.2265055968004539, "ret_signed_p3m": -0.2265055968004539, "alpha_spy_p3m": -0.29044254709410944, "alpha_c_p3m": -0.32154511540082464, "bench_spy_p3m": 0.06393695029365554, "bench_c_p3m": 0.09503951860037074, "ret_p6m": -0.2624025440093516, "ret_signed_p6m": -0.2624025440093516, "alpha_spy_p6m": -0.33576617050284696, "alpha_c_p6m": -0.35708970181902644, "bench_spy_p6m": 0.07336362649349537, "bench_c_p6m": 0.09468715780967485, "price_path": [0.0996, 0.1138, 0.1326, 0.1299, 0.1108, 0.081, 0.081, 0.0415, 0.106, 0.0993, 0.112, 0.0906, 0.1203, 0.1459, 0.1498, 0.1498, 0.1605, 0.1443, 0.1672, 0.1724, 0.1718, 0.2044, 0.169, 0.1137, 0.0773, 0.0643, 0.0081, 0.0222, -0.0558, -0.0558, 0.0424, 0.0105, 0.0672, 0.0638, 0.0638, -0.0087, -0.0399, 0.0155, 0.0707, 0.072, 0.0821, 0.1027, 0.11, 0.0689, 0.101, 0.1062, 0.1102, -0.0338, -0.0338, -0.0445, -0.0807, -0.0682, -0.0505, -0.0526, -0.0492, -0.013, -0.0186, -0.002, 0.0002, 0.0272, 0.014, -0.017, -0.0225, 0.0, -0.0033, -0.0149, -0.029, -0.0159, -0.0159, -0.023, -0.0329, -0.0691, -0.058, -0.045, -0.0479, 0.0061, 0.0225, -0.0577, -0.0878, -0.116, -0.117, -0.1159, -0.0917, -0.0701, -0.0942, -0.0763, -0.0731, -0.1196, -0.1386, -0.145, -0.1254, -0.1241, -0.1544, -0.1676, -0.1441, -0.1215, -0.1094, -0.1054, -0.0756, -0.0862, -0.0672, -0.144, -0.1211, -0.1267, -0.1296, -0.1176, -0.142, -0.1443, -0.1485, -0.1262, -0.133, -0.1265, -0.1265, -0.1601, -0.1564, -0.1732, -0.2084, -0.2484, -0.2281, -0.237, -0.252, -0.2197, -0.1848, -0.1838, -0.2103, -0.2174, -0.2265, -0.2344, -0.2744, -0.2574, -0.2586, -0.2701, -0.3254, -0.3436, -0.3445, -0.3839, -0.3751, -0.3906, -0.3906, -0.3968, -0.3931, -0.3984, -0.4081, -0.4279, -0.3812, -0.3716, -0.3417, -0.3463, -0.3195, -0.306, -0.3311, -0.3162, -0.313, -0.2807, -0.2816, -0.2762, -0.298, -0.2908, -0.2851, -0.2975, -0.2991, -0.2877, -0.2857, -0.2738, -0.2822, -0.2491, -0.2491, -0.2549, -0.2637, -0.2646, -0.2363, -0.2373, -0.2166, -0.1897, -0.1933, -0.1853, -0.1896, -0.1747, -0.1827, -0.1684, -0.1533, -0.2686, -0.2711, -0.2464, -0.2256, -0.2277, -0.2525, -0.2509, -0.2702, -0.2624]}
{"unit_id": "quote:2011954264017383918", "ticker_idx": 0, "ts": "2026-01-16T00:10:51+00:00", "symbol": "US equity market", "kind": "index", "geography": "US", "sub_sector": null, "direction": "long", "conviction": "high", "explicit": false, "explicit_audit": "kept_implicit_alias_present", "polarity_reversed": false, "quote": "The next three years could be Reaganomics on steroids, another golden age for the US equity market", "tweet_type": "prediction", "timeline": "years", "summary": "Cathie Wood bullish on US equities and dollar over next three years; expects a lid on gold as deregulation/tax cuts/sound policy replay Reaganomics.", "resolved_tickers": ["SPY"], "resolution_method": "etf", "resolution_reason": "US equity market; SPY is standard proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "The next three years could be Reaganomics on steroids, another golden age for the US equity market. Back then, early in my career, I remember how deregulation, tax cuts, sound monetary policy, and peace through strength sent the dollar soaring, which put a lid on the gold price!", "reply_text": null, "parent_text": null, "quoted_text": "Years of pressure have not broken the US economy, but have wound it tight. In a New Year’s letter, @CathieDWood shares her coiled spring theory and 2026 outlook, including insights on inflation, productivity, AI, bitcoin, gold, the dollar, and valuations.\nhttps://t.co/B7PFLGpqFG", "parent_author": null, "ret_m1d": 0.0008385766124283656, "ret_signed_m1d": 0.0008385766124283656, "alpha_spy_m1d": 0.0, "alpha_c_m1d": 0.0, "bench_spy_m1d": 0.0008385766124283656, "bench_c_m1d": 0.0008385766124283656, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0, "ret_signed_p1d": 0.0, "alpha_spy_p1d": 0.0, "alpha_c_p1d": 0.0, "bench_spy_p1d": 0.0, "bench_c_p1d": 0.0, "ret_p1w": -0.0035133148038901663, "ret_signed_p1w": -0.0035133148038901663, "alpha_spy_p1w": 0.0, "alpha_c_p1w": 0.0, "bench_spy_p1w": -0.0035133148038901663, "bench_c_p1w": -0.0035133148038901663, "ret_p1m": -0.014327829567820194, "ret_signed_p1m": -0.014327829567820194, "alpha_spy_p1m": 0.0, "alpha_c_p1m": 0.0, "bench_spy_p1m": -0.014327829567820194, "bench_c_p1m": -0.014327829567820194, "ret_p3m": 0.014734951124619089, "ret_signed_p3m": 0.014734951124619089, "alpha_spy_p3m": 0.0, "alpha_c_p3m": 0.0, "bench_spy_p3m": 0.014734951124619089, "bench_c_p3m": 0.014734951124619089, "ret_p6m": null, "ret_signed_p6m": null, "alpha_spy_p6m": null, "alpha_c_p6m": null, "bench_spy_p6m": null, "bench_c_p6m": null, "price_path": [-0.0323, -0.0373, -0.0316, -0.0237, -0.0122, -0.0096, -0.0091, -0.02, -0.0168, -0.0149, -0.0266, -0.0232, -0.0337, -0.0328, -0.0177, -0.0154, -0.0149, -0.0312, -0.0314, -0.0404, -0.0485, -0.0448, -0.0594, -0.05, -0.036, -0.0269, -0.0202, -0.0202, -0.0149, -0.0194, -0.0175, -0.0141, -0.0134, -0.0116, -0.0145, -0.0154, -0.0088, -0.0065, -0.0172, -0.0187, -0.0214, -0.0322, -0.0248, -0.016, -0.0099, -0.0053, -0.0019, -0.0019, -0.002, -0.0055, -0.0067, -0.0141, -0.0141, -0.0123, -0.0057, 0.0002, -0.003, -0.0031, 0.0035, 0.0051, 0.0031, -0.0019, 0.0008, 0.0, 0.0, -0.0204, -0.0091, -0.0039, -0.0035, 0.0015, 0.0055, 0.0054, 0.0034, 0.0004, 0.0054, -0.0031, -0.0079, -0.0203, -0.0015, 0.0033, 0.0007, 0.0004, -0.015, -0.0143, -0.0143, -0.0127, -0.0078, -0.0104, -0.0032, -0.0134, -0.0062, 0.0022, -0.0034, -0.0082, -0.0076, -0.0164, -0.0094, -0.015, -0.0279, -0.0194, -0.0209, -0.0222, -0.037, -0.0425, -0.0327, -0.0302, -0.0437, -0.0461, -0.0597, -0.0499, -0.0531, -0.0478, -0.0648, -0.0807, -0.0838, -0.0572, -0.0501, -0.0492, -0.0492, -0.0447, -0.0443, -0.02, -0.0143, -0.015, -0.0053, 0.0068, 0.0147, 0.0172, 0.0295, 0.0275, 0.0207, 0.0311, 0.0271, 0.035, 0.0368, 0.0318, 0.0316, 0.0419, 0.0448, 0.0409, 0.0493, 0.0639, 0.0606, 0.0694, 0.0718, 0.0702, 0.0762, 0.0847, 0.0716, 0.0709, 0.0637, 0.0746, 0.0768, 0.081, 0.081, 0.0882, 0.088, 0.094, 0.0967, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null]}
{"unit_id": "quote:2011954264017383918", "ticker_idx": 1, "ts": "2026-01-16T00:10:51+00:00", "symbol": "DXY", "kind": "macro", "geography": "US", "sub_sector": null, "direction": "long", "conviction": "low", "explicit": false, "explicit_audit": "kept_implicit_alias_present", "polarity_reversed": false, "quote": "sent the dollar soaring", "tweet_type": "prediction", "timeline": "years", "summary": "Cathie Wood bullish on US equities and dollar over next three years; expects a lid on gold as deregulation/tax cuts/sound policy replay Reaganomics.", "resolved_tickers": ["UUP"], "resolution_method": "etf", "resolution_reason": "DXY macro dollar; UUP ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "The next three years could be Reaganomics on steroids, another golden age for the US equity market. Back then, early in my career, I remember how deregulation, tax cuts, sound monetary policy, and peace through strength sent the dollar soaring, which put a lid on the gold price!", "reply_text": null, "parent_text": null, "quoted_text": "Years of pressure have not broken the US economy, but have wound it tight. In a New Year’s letter, @CathieDWood shares her coiled spring theory and 2026 outlook, including insights on inflation, productivity, AI, bitcoin, gold, the dollar, and valuations.\nhttps://t.co/B7PFLGpqFG", "parent_author": null, "ret_m1d": 0.0, "ret_signed_m1d": 0.0, "alpha_spy_m1d": -0.0008385766124283656, "alpha_c_m1d": -0.0008385766124283656, "bench_spy_m1d": 0.0008385766124283656, "bench_c_m1d": 0.0008385766124283656, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0, "ret_signed_p1d": 0.0, "alpha_spy_p1d": 0.0, "alpha_c_p1d": 0.0, "bench_spy_p1d": 0.0, "bench_c_p1d": 0.0, "ret_p1w": -0.01895736244908286, "ret_signed_p1w": -0.01895736244908286, "alpha_spy_p1w": -0.015444047645192693, "alpha_c_p1w": -0.015444047645192693, "bench_spy_p1w": -0.0035133148038901663, "bench_c_p1w": -0.0035133148038901663, "ret_p1m": -0.02223844708585221, "ret_signed_p1m": -0.02223844708585221, "alpha_spy_p1m": -0.007910617518032015, "alpha_c_p1m": -0.007910617518032015, "bench_spy_p1m": -0.014327829567820194, "bench_c_p1m": -0.014327829567820194, "ret_p3m": -0.005103878530472339, "ret_signed_p3m": -0.005103878530472339, "alpha_spy_p3m": -0.019838829655091428, "alpha_c_p3m": -0.019838829655091428, "bench_spy_p3m": 0.014734951124619089, "bench_c_p3m": 0.014734951124619089, "ret_p6m": null, "ret_signed_p6m": null, "alpha_spy_p6m": null, "alpha_c_p6m": null, "bench_spy_p6m": null, "bench_c_p6m": null, "price_path": [-0.0154, -0.0165, -0.0161, -0.0161, -0.0172, -0.0179, -0.0122, -0.0083, -0.0055, -0.0048, -0.0016, -0.0013, -0.0066, -0.0073, -0.0066, -0.008, -0.0076, -0.0105, -0.0091, -0.0066, -0.0055, 0.0008, 0.0015, 0.0008, 0.0008, -0.002, -0.0048, -0.0048, -0.0055, -0.0059, -0.0062, -0.0112, -0.0091, -0.0101, -0.0087, -0.0073, -0.0126, -0.0161, -0.0147, -0.0154, -0.0165, -0.0143, -0.0136, -0.0105, -0.0146, -0.0179, -0.0175, -0.0175, -0.0168, -0.0164, -0.0139, -0.0146, -0.0146, -0.0117, -0.0131, -0.0098, -0.0084, -0.0058, -0.0036, -0.0055, -0.0029, -0.0036, 0.0, 0.0, 0.0, -0.008, -0.0058, -0.0102, -0.019, -0.0237, -0.035, -0.0292, -0.0306, -0.0211, -0.016, -0.0186, -0.0153, -0.0124, -0.0153, -0.0233, -0.023, -0.0219, -0.0222, -0.0222, -0.0222, -0.019, -0.0128, -0.0113, -0.0124, -0.0124, -0.0117, -0.0128, -0.012, -0.0128, -0.0036, 0.0011, -0.0007, 0.0018, 0.0015, 0.0011, 0.0007, 0.0044, 0.0091, 0.0168, 0.0109, 0.0091, 0.0153, 0.0055, 0.0091, 0.0047, 0.008, 0.0098, 0.0139, 0.0149, 0.0201, 0.0128, 0.0109, 0.0157, 0.0157, 0.0146, 0.0117, 0.0036, 0.0018, 0.0004, -0.0018, -0.004, -0.0051, -0.0022, -0.0026, -0.004, 0.0015, 0.0018, 0.0036, 0.0018, 0.0007, 0.0036, 0.0066, -0.0026, -0.0007, 0.0018, 0.0026, -0.0029, -0.0007, -0.0033, -0.0029, 0.0007, 0.0029, 0.0069, 0.0124, 0.0098, 0.0131, 0.0109, 0.0109, 0.0124, 0.0124, 0.0117, 0.0117, 0.0098, 0.0084, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null]}
{"unit_id": "quote:2011954264017383918", "ticker_idx": 2, "ts": "2026-01-16T00:10:51+00:00", "symbol": "gold", "kind": "commodity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "put a lid on the gold price", "tweet_type": "prediction", "timeline": "years", "summary": "Cathie Wood bullish on US equities and dollar over next three years; expects a lid on gold as deregulation/tax cuts/sound policy replay Reaganomics.", "resolved_tickers": ["GLD"], "resolution_method": "etf", "resolution_reason": "Gold commodity; GLD is standard ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "The next three years could be Reaganomics on steroids, another golden age for the US equity market. Back then, early in my career, I remember how deregulation, tax cuts, sound monetary policy, and peace through strength sent the dollar soaring, which put a lid on the gold price!", "reply_text": null, "parent_text": null, "quoted_text": "Years of pressure have not broken the US economy, but have wound it tight. In a New Year’s letter, @CathieDWood shares her coiled spring theory and 2026 outlook, including insights on inflation, productivity, AI, bitcoin, gold, the dollar, and valuations.\nhttps://t.co/B7PFLGpqFG", "parent_author": null, "ret_m1d": 0.004842217916322111, "ret_signed_m1d": -0.004842217916322111, "alpha_spy_m1d": -0.004003641303893746, "alpha_c_m1d": -0.004003641303893746, "bench_spy_m1d": 0.0008385766124283656, "bench_c_m1d": 0.0008385766124283656, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0, "ret_signed_p1d": -0.0, "alpha_spy_p1d": 0.0, "alpha_c_p1d": 0.0, "bench_spy_p1d": 0.0, "bench_c_p1d": 0.0, "ret_p1w": 0.08713710439483102, "ret_signed_p1w": -0.08713710439483102, "alpha_spy_p1w": -0.09065041919872119, "alpha_c_p1w": -0.09065041919872119, "bench_spy_p1w": -0.0035133148038901663, "bench_c_p1w": -0.0035133148038901663, "ret_p1m": 0.0981034103206333, "ret_signed_p1m": -0.0981034103206333, "alpha_spy_p1m": -0.1124312398884535, "alpha_c_p1m": -0.1124312398884535, "bench_spy_p1m": -0.014327829567820194, "bench_c_p1m": -0.014327829567820194, "ret_p3m": 0.04550305614027428, "ret_signed_p3m": -0.04550305614027428, "alpha_spy_p3m": -0.03076810501565519, "alpha_c_p3m": -0.03076810501565519, "bench_spy_p3m": 0.014734951124619089, "bench_c_p3m": 0.014734951124619089, "ret_p6m": null, "ret_signed_p6m": null, "alpha_spy_p6m": null, "alpha_c_p6m": null, "bench_spy_p6m": null, "bench_c_p6m": null, "price_path": [-0.1046, -0.1045, -0.1009, -0.1039, -0.1288, -0.1351, -0.1384, -0.1214, -0.1262, -0.1246, -0.14, -0.13, -0.1311, -0.1258, -0.1019, -0.0983, -0.0838, -0.0912, -0.1076, -0.1178, -0.1114, -0.11, -0.1102, -0.1116, -0.0975, -0.0978, -0.0906, -0.0906, -0.0793, -0.0749, -0.0808, -0.0817, -0.0811, -0.0827, -0.0851, -0.0804, -0.0765, -0.0666, -0.0614, -0.0605, -0.0603, -0.0522, -0.0539, -0.0529, -0.031, -0.0182, -0.0222, -0.0222, -0.0108, -0.0539, -0.0532, -0.0593, -0.0593, -0.0546, -0.0297, -0.0193, -0.0286, -0.0233, -0.0162, 0.0022, 0.0008, 0.011, 0.0048, 0.0, 0.0, 0.0378, 0.053, 0.0724, 0.0871, 0.103, 0.1301, 0.1739, 0.1771, 0.0562, 0.0139, 0.0783, 0.0776, 0.0489, 0.0811, 0.1086, 0.0976, 0.11, 0.0714, 0.0981, 0.0981, 0.0639, 0.0878, 0.0908, 0.1123, 0.1424, 0.1266, 0.1237, 0.1334, 0.1483, 0.1631, 0.1112, 0.1199, 0.1064, 0.124, 0.1216, 0.1343, 0.1304, 0.1082, 0.0939, 0.0929, 0.0902, 0.0557, 0.0122, -0.0188, -0.0409, -0.0407, -0.0119, -0.049, -0.0156, -0.0159, 0.0214, 0.0392, 0.0193, 0.0193, 0.0151, 0.025, 0.0314, 0.0395, 0.0376, 0.0334, 0.0565, 0.0455, 0.0446, 0.0585, 0.0494, 0.0197, 0.0332, 0.0231, 0.0284, 0.0204, 0.0015, -0.0092, 0.0056, 0.0045, -0.0156, -0.0072, 0.023, 0.0247, 0.0296, 0.0317, 0.0276, 0.0219, 0.0141, -0.0095, -0.0068, -0.0232, -0.0092, -0.0102, -0.0177, -0.0177, -0.0173, -0.0304, -0.0202, -0.0099, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null]}
{"unit_id": "quote:870286666082156545", "ticker_idx": 0, "ts": "2017-06-01T14:31:24+00:00", "symbol": "AMZN", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$AMZN and $NFLX both win, while traditional #media twist in the wind", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Both AMZN and NFLX win the streaming war; traditional media loses.", "resolved_tickers": ["AMZN"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Internet Retail'", "bench_c_industry": "Internet Retail", "unit_kind": "quote", "lang": "en", "tweet_text": "$AMZN and $NFLX both win, while traditional #media twist in the wind. https://t.co/PmAZuE993q", "reply_text": null, "parent_text": null, "quoted_text": "Who knew 5 years ago that Netflix's biggest competitor would be Amazon. Disrupt or be disrupted.  https://t.co/sc3gOUVAOh", "parent_author": null, "ret_m1d": -0.0013354408678458718, "ret_signed_m1d": -0.0013354408678458718, "alpha_spy_m1d": 0.006554101062071216, "alpha_c_m1d": 0.008021594462055526, "bench_spy_m1d": -0.007889541929917088, "bench_c_m1d": -0.009357035329901398, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.010823789217132784, "ret_signed_p1d": 0.010823789217132784, "alpha_spy_p1d": 0.007495548017875553, "alpha_c_p1d": 0.007233146942255297, "bench_spy_p1d": 0.0033282411992572314, "bench_c_p1d": 0.003590642274877487, "ret_p1w": 0.014378223695882486, "ret_signed_p1w": 0.014378223695882486, "alpha_spy_p1w": 0.0126524609658063, "alpha_c_p1w": 0.02678169131910979, "bench_spy_p1w": 0.0017257627300761857, "bench_c_p1w": -0.012403467623227304, "ret_p1m": -0.028063639085174397, "ret_signed_p1m": -0.028063639085174397, "alpha_spy_p1m": -0.026498688200394693, "alpha_c_p1m": -0.006230526394680469, "bench_spy_p1m": -0.0015649508847797033, "bench_c_p1m": -0.021833112690493928, "ret_p3m": -0.04206037390812212, "ret_signed_p3m": -0.04206037390812212, "alpha_spy_p3m": -0.05308936219553895, "alpha_c_p3m": -0.008986366251788391, "bench_spy_p3m": 0.01102898828741683, "bench_c_p3m": -0.033074007656333726, "ret_p6m": 0.19082280255514816, "ret_signed_p6m": 0.19082280255514816, "alpha_spy_p6m": 0.11041521683480626, "alpha_c_p6m": 0.15443497724764144, "bench_spy_p6m": 0.0804075857203419, "bench_c_p6m": 0.03638782530750673, "price_path": [-0.1499, -0.1505, -0.146, -0.1435, -0.1441, -0.1419, -0.144, -0.1436, -0.1431, -0.1442, -0.1395, -0.1534, -0.1485, -0.1492, -0.151, -0.1497, -0.1405, -0.1221, -0.1201, -0.1099, -0.1049, -0.0895, -0.087, -0.0981, -0.1015, -0.0893, -0.094, -0.1001, -0.1117, -0.1117, -0.0943, -0.0925, -0.0971, -0.0943, -0.0978, -0.0889, -0.0887, -0.087, -0.0779, -0.0712, -0.0479, -0.0492, -0.0551, -0.0587, -0.0621, -0.0471, -0.0433, -0.0472, -0.0485, -0.0347, -0.0381, -0.03, -0.0514, -0.0376, -0.0363, -0.0254, -0.0245, -0.0157, -0.0026, -0.0002, -0.0002, 0.0008, -0.0013, 0.0, 0.0108, 0.0155, 0.0071, 0.0142, 0.0144, -0.0177, -0.0312, -0.0152, -0.0196, -0.0319, -0.0083, -0.0008, -0.0034, 0.0063, 0.0054, 0.0078, -0.002, -0.0192, -0.0056, -0.0201, -0.0281, -0.0425, -0.0425, -0.0246, -0.0309, -0.0173, 0.0005, -0.0018, 0.0106, 0.0047, 0.0059, 0.0141, 0.0286, 0.031, 0.0329, 0.0298, 0.0432, 0.0441, 0.0571, 0.0503, 0.0242, -0.0082, 0.0002, -0.0001, -0.0091, -0.0084, -0.0037, -0.0061, -0.014, -0.0392, -0.0281, -0.0127, -0.0133, -0.0178, -0.0355, -0.0376, -0.0428, -0.0292, -0.0381, -0.0437, -0.0509, -0.0501, -0.0421, -0.0285, -0.0154, -0.0178, -0.0178, -0.0308, -0.0283, -0.0165, -0.0302, -0.0181, -0.0134, 0.0037, -0.0038, -0.0092, -0.0218, -0.0262, -0.0228, -0.0314, -0.041, -0.0564, -0.0576, -0.0453, -0.0397, -0.0347, -0.0369, -0.039, -0.0306, -0.0152, -0.0064, -0.005, -0.0088, -0.001, 0.005, 0.007, 0.0104, 0.0132, 0.0011, -0.0094, -0.0131, -0.0298, -0.0201, -0.0231, -0.0236, 0.1054, 0.1154, 0.1098, 0.1082, 0.0987, 0.1161, 0.1252, 0.1277, 0.1375, 0.1337, 0.1299, 0.1338, 0.1415, 0.1313, 0.1419, 0.1345, 0.1309, 0.1441, 0.1609, 0.1609, 0.1908]}
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{"unit_id": "quote:1524577320631164933", "ticker_idx": 0, "ts": "2022-05-12T02:28:53+00:00", "symbol": "ARK Innovation ETF", "kind": "sector", "geography": "US", "sub_sector": null, "direction": "long", "conviction": "high", "explicit": false, "explicit_audit": "kept_implicit", "polarity_reversed": false, "quote": "Genomic sequencing, adaptive robotics, energy storage, AI, and blockchain technology are realities, their stocks seemingly in deep value territory", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Cathie Wood argues disruptive-tech stocks (genomics, robotics, energy storage, AI, blockchain) are in deep value territory and will not repeat the 2000 bust — implicitly bullish on ARK-style holdings.", "resolved_tickers": ["ARKK"], "resolution_method": "etf", "resolution_reason": "ARK Innovation ETF sector proxy is ARKK", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Thank you @freshjiva. Stocks sold off after the tech/telecom bubble because the \"dream\" would not become reality for 20-25 years. Genomic sequencing, adaptive robotics, energy storage, AI, and blockchain technology are realities, their stocks seemingly in deep value territory.", "reply_text": null, "parent_text": null, "quoted_text": "The number of companies that now trade at a discount to *net cash* has matched the highs following the 2000 bubble bust.\n\nThe calculation I used is of the strictest kind: (Diluted Shares Out * Price) / (Cash &amp; Equiv - Total Liabilities). \n\nWe are getting close... https://t.co/3MtvCZNU2z", "parent_author": null, "ret_m1d": -0.05283413073539789, "ret_signed_m1d": -0.05283413073539789, "alpha_spy_m1d": -0.05387913659706456, "alpha_c_m1d": -0.05387913659706456, "bench_spy_m1d": 0.0010450058616666702, "bench_c_m1d": 0.0010450058616666702, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.11823527328428995, "ret_signed_p1d": 0.11823527328428995, "alpha_spy_p1d": 0.09432754813209288, "alpha_c_p1d": 0.09432754813209288, "bench_spy_p1d": 0.02390772515219708, "bench_c_p1d": 0.02390772515219708, "ret_p1w": 0.10361616418514585, "ret_signed_p1w": 0.10361616418514585, "alpha_spy_p1w": 0.11095668715003948, "alpha_c_p1w": 0.11095668715003948, "bench_spy_p1w": -0.0073405229648936254, "bench_c_p1w": -0.0073405229648936254, "ret_p1m": 0.02872521854032062, "ret_signed_p1m": 0.02872521854032062, "alpha_spy_p1m": 0.0351991913759222, "alpha_c_p1m": 0.0351991913759222, "bench_spy_p1m": -0.006473972835601582, "bench_c_p1m": -0.006473972835601582, "ret_p3m": 0.23185414156955608, "ret_signed_p3m": 0.23185414156955608, "alpha_spy_p3m": 0.17887227040325127, "alpha_c_p3m": 0.17887227040325127, "bench_spy_p3m": 0.05298187116630482, "bench_c_p3m": 0.05298187116630482, "ret_p6m": -0.09669145803282986, "ret_signed_p6m": -0.09669145803282986, "alpha_spy_p6m": -0.06403693600073934, "alpha_c_p6m": -0.06403693600073934, "bench_spy_p6m": -0.032654522032090516, "bench_c_p6m": -0.032654522032090516, "price_path": [0.831, 0.9308, 0.8689, 0.7487, 0.662, 0.662, 0.6258, 0.5614, 0.683, 0.7394, 0.8074, 0.752, 0.7328, 0.6225, 0.5448, 0.4888, 0.5035, 0.5827, 0.5271, 0.4255, 0.3411, 0.395, 0.5399, 0.614, 0.6868, 0.6409, 0.7176, 0.6843, 0.703, 0.6545, 0.7199, 0.831, 0.7615, 0.7002, 0.7322, 0.8082, 0.7051, 0.6261, 0.6071, 0.5555, 0.5348, 0.5348, 0.5832, 0.513, 0.513, 0.4709, 0.5304, 0.4396, 0.368, 0.3455, 0.3939, 0.2998, 0.2711, 0.2534, 0.2088, 0.2857, 0.279, 0.3447, 0.2247, 0.1703, 0.0549, 0.0536, -0.0528, 0.0, 0.1182, 0.0521, 0.1049, 0.0559, 0.1036, 0.0877, 0.0808, 0.0056, 0.0523, 0.0934, 0.1647, 0.1647, 0.1308, 0.09, 0.1703, 0.107, 0.1154, 0.1485, 0.1795, 0.108, 0.0287, -0.0618, -0.0513, 0.011, -0.0516, -0.0049, -0.0049, 0.0387, 0.0544, 0.1293, 0.1754, 0.149, 0.0816, 0.0646, 0.0228, 0.0572, 0.0572, 0.1534, 0.1275, 0.2011, 0.2018, 0.1187, 0.1367, 0.1288, 0.1054, 0.1313, 0.1277, 0.1747, 0.2342, 0.2557, 0.1862, 0.1708, 0.1149, 0.1895, 0.1844, 0.1575, 0.1718, 0.2031, 0.2762, 0.2867, 0.2842, 0.3029, 0.2319, 0.3226, 0.2803, 0.3339, 0.3385, 0.3014, 0.2319, 0.2183, 0.1462, 0.1185, 0.1123, 0.1413, 0.1741, 0.0987, 0.0805, 0.0749, 0.0741, 0.07, 0.041, 0.041, 0.0282, 0.0636, 0.0952, 0.1439, 0.1716, 0.0921, 0.1221, 0.1467, 0.0921, 0.0898, 0.0628, 0.0346, -0.0097, -0.0298, -0.04, -0.02, 0.0256, -0.0305, -0.0323, -0.028, 0.0462, 0.0269, 0.0303, -0.0374, -0.069, -0.0857, -0.0736, -0.0757, -0.1282, -0.0669, -0.0518, -0.0926, -0.0959, -0.0798, -0.0913, -0.0303, -0.0282, -0.0287, -0.0026, -0.0182, -0.018, -0.0654, -0.0716, -0.0967]}
{"unit_id": "quote:1631526746620084224", "ticker_idx": 0, "ts": "2023-03-03T05:27:43+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Tesla is passing along drivetrain cost declines that will cut the price of the Model 3 in half to $25,000, undercutting competition", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish TSLA: drivetrain cost declines will halve Model 3 price to $25K, undercutting all competition.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "On @CNBC this week, @SaraEisen asked if #Tesla is cutting prices in response to competition. After investor day, @skorusARK illustrated that Tesla is passing along drivetrain cost declines that will cut the price of the Model 3 in half to $25,000, undercutting competition!", "reply_text": null, "parent_text": null, "quoted_text": "75kwh x $70 per kWh = $5,250\n+$1,000 powertrain = $6,250\n\n$6,250 / 25% = $25,000\n\n(Drivetrain is typically ~25% the cost of the vehicle)\n\nThe future is electric.", "parent_author": null, "ret_m1d": -0.03483492402813837, "ret_signed_m1d": -0.03483492402813837, "alpha_spy_m1d": -0.019050395643033458, "alpha_c_m1d": -0.013783769565208104, "bench_spy_m1d": -0.015784528385104912, "bench_c_m1d": -0.021051154462930266, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.020122331071529054, "ret_signed_p1d": -0.020122331071529054, "alpha_spy_p1d": -0.020815182813700206, "alpha_c_p1d": -0.01280940500811989, "bench_spy_p1d": 0.0006928517421711522, "bench_c_p1d": -0.007312926063409164, "ret_p1w": -0.12311032747496309, "ret_signed_p1w": -0.12311032747496309, "alpha_spy_p1w": -0.07788428626772981, "alpha_c_p1w": -0.0676801553220564, "bench_spy_p1w": -0.04522604120723328, "bench_c_p1w": -0.05543017215290669, "ret_p1m": -0.015268664321672731, "ret_signed_p1m": -0.015268664321672731, "alpha_spy_p1m": -0.03587393494104141, "alpha_c_p1m": -0.03107201149929184, "bench_spy_p1m": 0.020605270619368676, "bench_c_p1m": 0.01580334717761911, "ret_p3m": 0.031043023398893643, "ret_signed_p3m": 0.031043023398893643, "alpha_spy_p3m": -0.006698691048841132, "alpha_c_p3m": -0.008343564284984062, "bench_spy_p3m": 0.037741714447734775, "bench_c_p3m": 0.039386587683877705, "ret_p6m": 0.2074423147319182, "ret_signed_p6m": 0.2074423147319182, "alpha_spy_p6m": 0.10375138473380852, "alpha_c_p6m": 0.07178478655174092, "bench_spy_p6m": 0.1036909299981097, "bench_c_p6m": 0.1356575281801773, "price_path": [-0.0909, -0.1201, -0.1231, -0.0947, -0.1515, -0.1863, -0.2072, -0.2028, -0.2405, -0.2423, -0.3033, -0.3045, -0.3662, -0.3774, -0.3774, -0.4484, -0.4302, -0.3841, -0.3772, -0.3772, -0.4535, -0.4255, -0.4421, -0.4284, -0.3945, -0.3991, -0.377, -0.3753, -0.3812, -0.3812, -0.3352, -0.3489, -0.357, -0.3254, -0.2732, -0.2725, -0.2698, -0.1897, -0.1006, -0.1574, -0.1242, -0.0828, -0.0481, -0.0395, -0.0153, -0.005, 0.0177, 0.0482, -0.0046, -0.0159, 0.0579, 0.0832, 0.0215, 0.0532, 0.0532, -0.0021, 0.0155, 0.0216, -0.0046, 0.0497, 0.04, 0.0252, -0.0348, 0.0, -0.0201, -0.051, -0.0798, -0.1257, -0.1231, -0.1179, -0.0735, -0.0877, -0.0691, -0.0893, -0.0735, -0.0011, -0.0336, -0.0282, -0.0373, -0.0302, -0.0435, -0.0198, -0.0127, 0.0489, -0.0153, -0.0263, -0.062, -0.0644, -0.0644, -0.0671, -0.0556, -0.0872, -0.0601, -0.0647, -0.0544, -0.0682, -0.087, -0.1759, -0.1654, -0.1782, -0.1877, -0.2227, -0.1901, -0.1693, -0.1818, -0.1895, -0.188, -0.185, -0.1402, -0.1315, -0.1448, -0.1479, -0.13, -0.1507, -0.159, -0.1581, -0.121, -0.1057, -0.0892, -0.0451, -0.0608, -0.0753, -0.0673, -0.0234, -0.0234, 0.017, 0.031, 0.0492, 0.0818, 0.1002, 0.1189, 0.1354, 0.1874, 0.2357, 0.2631, 0.308, 0.2983, 0.2938, 0.3173, 0.3173, 0.3876, 0.3118, 0.3378, 0.2973, 0.2187, 0.265, 0.2955, 0.3019, 0.3235, 0.4147, 0.4147, 0.4282, 0.3981, 0.3875, 0.3631, 0.364, 0.3751, 0.405, 0.4226, 0.4681, 0.4831, 0.4726, 0.3292, 0.3146, 0.3603, 0.3412, 0.3365, 0.2928, 0.3471, 0.3521, 0.3199, 0.2847, 0.3111, 0.2835, 0.2713, 0.2625, 0.2245, 0.2404, 0.2268, 0.2122, 0.1778, 0.1406, 0.1083, 0.0895, 0.1693, 0.179, 0.1975, 0.1631, 0.2063, 0.2074]}
{"unit_id": "quote:1416591994680487936", "ticker_idx": 0, "ts": "2021-07-18T02:53:45+00:00", "symbol": "cloud software", "kind": "sector", "geography": "US", "sub_sector": null, "direction": "long", "conviction": "low", "explicit": false, "explicit_audit": "kept_implicit_alias_present", "polarity_reversed": false, "quote": "Crossing 20% share, cloud adoption is entering the sweet spot of its S-curve.", "tweet_type": "analysis", "timeline": "years", "summary": "Cloud software sector entering S-curve sweet spot at 23% workload penetration, implying long runway for growth.", "resolved_tickers": ["WCLD"], "resolution_method": "etf", "resolution_reason": "Cloud software sector; WCLD is cloud software ETF", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Crossing 20% share, cloud adoption is entering the sweet spot of its S-curve.", "reply_text": null, "parent_text": null, "quoted_text": "Data from Morgan Stanley CIO survey: only 23% of workloads running in the cloud today. Longgggg runway left for cloud software https://t.co/P4RjSVP0FV", "parent_author": null, "ret_m1d": -0.008732027134384479, "ret_signed_m1d": -0.008732027134384479, "alpha_spy_m1d": -0.023721314916754555, "alpha_c_m1d": -0.023721314916754555, "bench_spy_m1d": 0.014989287782370075, "bench_c_m1d": 0.014989287782370075, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.025468395126292398, "ret_signed_p1d": 0.025468395126292398, "alpha_spy_p1d": 0.011137949345379594, "alpha_c_p1d": 0.011137949345379594, "bench_spy_p1d": 0.014330445780912804, "bench_c_p1d": 0.014330445780912804, "ret_p1w": 0.053301805350374876, "ret_signed_p1w": 0.053301805350374876, "alpha_spy_p1w": 0.015534379259158682, "alpha_c_p1w": 0.015534379259158682, "bench_spy_p1w": 0.037767426091216194, "bench_c_p1w": 0.037767426091216194, "ret_p1m": 0.031107859677991456, "ret_signed_p1m": 0.031107859677991456, "alpha_spy_p1m": -0.013766047603772202, "alpha_c_p1m": -0.013766047603772202, "bench_spy_p1m": 0.04487390728176366, "bench_c_p1m": 0.04487390728176366, "ret_p3m": 0.12006545984276529, "ret_signed_p3m": 0.12006545984276529, "alpha_spy_p3m": 0.07547947502226426, "alpha_c_p3m": 0.07547947502226426, "bench_spy_p3m": 0.04458598482050102, "bench_c_p3m": 0.04458598482050102, "ret_p6m": -0.12697834068098002, "ret_signed_p6m": -0.12697834068098002, "alpha_spy_p6m": -0.23978784774730377, "alpha_c_p6m": -0.23978784774730377, "bench_spy_p6m": 0.11280950706632376, "bench_c_p6m": 0.11280950706632376, "price_path": [-0.0806, -0.0715, -0.0566, -0.0247, -0.0311, -0.0298, -0.0553, -0.0675, -0.0913, -0.1232, -0.1343, -0.1592, -0.1466, -0.1674, -0.1477, -0.179, -0.1905, -0.1608, -0.1679, -0.1561, -0.1572, -0.1321, -0.1297, -0.1177, -0.1173, -0.101, -0.1048, -0.0984, -0.0984, -0.1035, -0.0986, -0.1166, -0.1033, -0.0871, -0.0779, -0.0826, -0.0602, -0.0451, -0.0335, -0.0478, -0.0389, -0.008, 0.0056, 0.0055, 0.0167, 0.0233, 0.0291, 0.028, 0.0367, 0.0378, 0.0167, 0.0153, 0.0255, 0.0255, 0.0457, 0.0435, 0.0335, 0.044, 0.032, 0.026, 0.0036, -0.0129, -0.0087, 0.0, 0.0255, 0.0373, 0.0506, 0.0588, 0.0533, 0.0335, 0.0535, 0.0542, 0.0435, 0.0489, 0.0468, 0.0668, 0.0817, 0.0679, 0.0715, 0.0508, 0.0449, 0.0599, 0.0562, 0.0397, 0.0311, 0.0298, 0.0264, 0.0378, 0.0629, 0.0815, 0.0862, 0.0819, 0.107, 0.1157, 0.1082, 0.1212, 0.1293, 0.1474, 0.1474, 0.1408, 0.1139, 0.1139, 0.0951, 0.0888, 0.0928, 0.0997, 0.1175, 0.1157, 0.0873, 0.0941, 0.1073, 0.123, 0.1172, 0.0959, 0.0458, 0.0397, 0.0482, 0.0595, 0.0133, 0.0291, 0.0438, 0.0626, 0.0484, 0.0429, 0.0624, 0.099, 0.1201, 0.1153, 0.1286, 0.1413, 0.1384, 0.1546, 0.1424, 0.1521, 0.1415, 0.1199, 0.1339, 0.1388, 0.1483, 0.1348, 0.1439, 0.1603, 0.155, 0.1695, 0.1885, 0.1435, 0.1463, 0.1681, 0.157, 0.1683, 0.1463, 0.1304, 0.1135, 0.0515, 0.0267, 0.0442, 0.0442, 0.0393, 0.0489, 0.024, -0.0433, -0.0271, -0.0724, -0.0684, -0.0162, 0.0073, -0.0297, -0.0495, -0.0526, -0.0775, -0.0538, -0.0906, -0.0624, -0.0755, -0.0349, -0.0355, -0.0337, -0.0337, -0.0317, -0.0482, -0.0531, -0.0398, -0.0566, -0.0668, -0.1048, -0.1577, -0.1519, -0.1583, -0.149, -0.127]}
{"unit_id": "quote:872590429597962245", "ticker_idx": 0, "ts": "2017-06-07T23:05:45+00:00", "symbol": "XLE", "kind": "etf", "geography": null, "sub_sector": null, "direction": "short", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "It's going to get worse over time.", "tweet_type": "prediction", "timeline": "years", "summary": "Energy stocks will continue underperforming the S&P 500; XLE/SPY ratio to keep declining.", "resolved_tickers": ["XLE"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "It's going to get worse over time. https://t.co/iqmhDRlyq4", "reply_text": null, "parent_text": null, "quoted_text": "Ratio of Energy stocks to the S&amp;P 500 hitting a 13-year low today. $XLE $SPY https://t.co/4TWiQkMNXk", "parent_author": null, "ret_m1d": 0.014296738783291518, "ret_signed_m1d": -0.014296738783291518, "alpha_spy_m1d": -0.01614350939736653, "alpha_c_m1d": -0.01614350939736653, "bench_spy_m1d": -0.0018467706140750106, "bench_c_m1d": -0.0018467706140750106, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.0029209887364337606, "ret_signed_p1d": 0.0029209887364337606, "alpha_spy_p1d": 0.00341351867495987, "alpha_c_p1d": 0.00341351867495987, "bench_spy_p1d": 0.0004925299385261095, "bench_c_p1d": 0.0004925299385261095, "ret_p1w": 0.0172175557221228, "ret_signed_p1w": -0.0172175557221228, "alpha_spy_p1w": -0.014837235080799704, "alpha_c_p1w": -0.014837235080799704, "bench_spy_p1w": 0.002380320641323097, "bench_c_p1w": 0.002380320641323097, "ret_p1m": -0.007665866719763548, "ret_signed_p1m": 0.007665866719763548, "alpha_spy_p1m": -0.00028336427634434447, "alpha_c_p1m": -0.00028336427634434447, "bench_spy_p1m": -0.007949230996107892, "bench_c_p1m": -0.007949230996107892, "ret_p3m": -0.01586954583414002, "ret_signed_p3m": 0.01586954583414002, "alpha_spy_p3m": 0.037984790040160865, "alpha_c_p3m": 0.037984790040160865, "bench_spy_p3m": 0.022115244206020845, "bench_c_p3m": 0.022115244206020845, "ret_p6m": 0.08365778742211338, "ret_signed_p6m": -0.08365778742211338, "alpha_spy_p6m": 0.014692280614903463, "alpha_c_p6m": 0.014692280614903463, "bench_spy_p6m": 0.09835006803701685, "bench_c_p6m": 0.09835006803701685, "price_path": [0.0698, 0.07, 0.0579, 0.0814, 0.0738, 0.073, 0.0715, 0.064, 0.0624, 0.0581, 0.054, 0.049, 0.064, 0.0786, 0.0782, 0.0746, 0.0727, 0.0806, 0.0772, 0.0858, 0.0816, 0.0898, 0.0899, 0.0853, 0.0655, 0.0655, 0.0678, 0.0578, 0.0423, 0.0473, 0.0421, 0.0483, 0.0572, 0.0537, 0.0421, 0.0429, 0.04, 0.0347, 0.0377, 0.0186, 0.0347, 0.0421, 0.0335, 0.0472, 0.045, 0.0415, 0.0497, 0.0444, 0.0341, 0.0338, 0.0466, 0.0443, 0.0467, 0.0412, 0.0223, 0.024, 0.024, 0.0103, 0.006, 0.0123, 0.0006, 0.0025, 0.0143, 0.0, -0.0029, 0.0211, 0.0283, 0.036, 0.0172, 0.0095, 0.0262, 0.0197, 0.0067, -0.0095, -0.0101, -0.0035, -0.0057, -0.0072, -0.0018, 0.0004, 0.0049, 0.0242, 0.0242, 0.0035, -0.0077, -0.0092, -0.006, -0.0005, 0.0022, 0.0063, 0.0123, 0.0111, 0.0063, 0.021, 0.0179, 0.0078, 0.006, 0.0186, 0.0197, 0.0301, 0.0289, 0.0312, 0.031, 0.0272, 0.0128, 0.016, 0.0083, 0.006, 0.0069, -0.0038, -0.0103, -0.0132, -0.017, -0.0264, -0.0402, -0.0354, -0.0403, -0.034, -0.0298, -0.0292, -0.0248, -0.0292, -0.0304, -0.03, -0.0253, -0.0159, -0.0159, -0.0105, 0.0056, 0.0075, -0.0032, 0.0063, 0.0125, 0.0251, 0.0301, 0.0325, 0.0369, 0.0412, 0.0482, 0.0485, 0.0539, 0.0691, 0.0686, 0.0732, 0.0741, 0.0739, 0.0736, 0.0725, 0.0717, 0.0766, 0.0675, 0.0697, 0.0706, 0.0732, 0.0692, 0.0686, 0.071, 0.0716, 0.0641, 0.0608, 0.0628, 0.0573, 0.0593, 0.052, 0.0542, 0.0561, 0.0615, 0.065, 0.0771, 0.0739, 0.0771, 0.1017, 0.1003, 0.0949, 0.0982, 0.0924, 0.0862, 0.0686, 0.0565, 0.0523, 0.0575, 0.055, 0.0573, 0.0615, 0.0615, 0.0645, 0.0537, 0.0619, 0.0677, 0.0837]}
{"unit_id": "quote:974608650479329280", "ticker_idx": 0, "ts": "2018-03-16T11:29:44+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "His support of the Lightening Network is great news for #bitcoin", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Jack Dorsey's Lightning Network support is bullish for Bitcoin, litecoin, and Square stock.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "@square’s role in this ecosystem should be quite interesting.  Jack Dorsey seems to be positioning it as a wallet.  His support of the Lightening Network is great news for #bitcoin, and potentially for #litecoin and $SQ. https://t.co/idvI7fyN7w", "reply_text": null, "parent_text": null, "quoted_text": "Great day for Bitcoin: Bitcoin Lightning Startup Goes Beta With Twitter CEO Backing https://t.co/Wh3L0Dq7Bv via @CoinDesk", "parent_author": null, "ret_m1d": -0.004496004553508959, "ret_signed_m1d": -0.004496004553508959, "alpha_spy_m1d": -0.0034125599212450064, "alpha_c_m1d": null, "bench_spy_m1d": -0.0010834446322639524, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.03505499228784559, "ret_signed_p1d": 0.03505499228784559, "alpha_spy_p1d": 0.0485856760632607, "alpha_c_p1d": null, "bench_spy_p1d": -0.013530683775415109, "bench_c_p1d": null, "ret_p1w": 0.06491338612186959, "ret_signed_p1w": 0.06491338612186959, "alpha_spy_p1w": 0.12381240864133392, "alpha_c_p1w": null, "bench_spy_p1w": -0.05889902251946433, "bench_c_p1w": null, "ret_p1m": -0.033541372166207784, "ret_signed_p1m": -0.033541372166207784, "alpha_spy_p1m": -0.0084863765670522, "alpha_c_p1m": null, "bench_spy_p1m": -0.025054995599155583, "bench_c_p1m": null, "ret_p3m": -0.23847041683111847, "ret_signed_p3m": -0.23847041683111847, "alpha_spy_p3m": -0.25243800492845425, "alpha_c_p3m": null, "bench_spy_p3m": 0.013967588097335781, "bench_c_p3m": null, "ret_p6m": -0.24089292343944524, "ret_signed_p6m": -0.24089292343944524, "alpha_spy_p6m": -0.296303260540286, "alpha_c_p6m": null, "bench_spy_p6m": 0.055410337100840756, "bench_c_p6m": null, "price_path": [1.1319, 0.9938, 0.8952, 0.6588, 0.6822, 0.9308, 0.8995, 0.7517, 0.7577, 0.6379, 0.7968, 0.823, 0.8708, 1.0903, 0.8193, 0.7504, 0.7957, 0.6077, 0.6767, 0.6574, 0.378, 0.3418, 0.3762, 0.3921, 0.311, 0.3034, 0.3623, 0.3503, 0.3398, 0.3548, 0.212, 0.2258, 0.0998, 0.0591, -0.1659, -0.0701, -0.086, -0.0087, 0.0478, 0.0705, 0.0312, 0.1387, 0.2192, 0.2273, 0.3462, 0.3676, 0.2821, 0.1999, 0.2354, 0.2433, 0.2863, 0.247, 0.3133, 0.3296, 0.388, 0.2928, 0.1951, 0.1267, 0.1198, 0.1039, 0.1027, -0.0082, -0.0045, 0.0, 0.0351, 0.069, 0.0709, 0.0468, 0.0649, -0.0155, -0.0606, -0.046, -0.1406, -0.1736, -0.1505, -0.1058, -0.178, -0.1831, -0.2041, -0.188, -0.1803, -0.1643, -0.0539, -0.0531, -0.0335, -0.0523, -0.021, -0.0053, 0.0609, 0.0711, 0.163, 0.0609, 0.1131, 0.0778, 0.1082, 0.0936, 0.1076, 0.1686, 0.1634, 0.1241, 0.1075, 0.1183, 0.0846, 0.0124, 0.0454, 0.0206, 0.0037, -0.0293, -0.0105, 0.0097, -0.0356, -0.0936, -0.0901, -0.1029, -0.1442, -0.1038, -0.1118, -0.1012, -0.0956, -0.0988, -0.0845, -0.0821, -0.0792, -0.0856, -0.1717, -0.2106, -0.2385, -0.1994, -0.2257, -0.1923, -0.1881, -0.1873, -0.1929, -0.2704, -0.2505, -0.2692, -0.2616, -0.292, -0.2543, -0.2068, -0.2169, -0.2088, -0.2038, -0.1997, -0.1915, -0.2409, -0.2331, -0.253, -0.2519, -0.1915, -0.122, -0.116, -0.1045, -0.118, -0.0752, 0.0103, -0.0188, -0.0464, -0.0208, -0.0189, -0.0669, -0.0856, -0.0925, -0.1084, -0.1663, -0.1901, -0.2438, -0.2123, -0.2583, -0.2447, -0.2565, -0.2434, -0.2403, -0.2108, -0.2434, -0.2218, -0.2353, -0.2163, -0.1941, -0.1743, -0.149, -0.1548, -0.1631, -0.156, -0.1293, -0.1171, -0.1854, -0.217, -0.2244, -0.2409]}
{"unit_id": "quote:974608650479329280", "ticker_idx": 1, "ts": "2018-03-16T11:29:44+00:00", "symbol": "LTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "potentially for #litecoin", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Jack Dorsey's Lightning Network support is bullish for Bitcoin, litecoin, and Square stock.", "resolved_tickers": ["LTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "@square’s role in this ecosystem should be quite interesting.  Jack Dorsey seems to be positioning it as a wallet.  His support of the Lightening Network is great news for #bitcoin, and potentially for #litecoin and $SQ. https://t.co/idvI7fyN7w", "reply_text": null, "parent_text": null, "quoted_text": "Great day for Bitcoin: Bitcoin Lightning Startup Goes Beta With Twitter CEO Backing https://t.co/Wh3L0Dq7Bv via @CoinDesk", "parent_author": null, "ret_m1d": -0.005886969123016672, "ret_signed_m1d": -0.005886969123016672, "alpha_spy_m1d": -0.00480352449075272, "alpha_c_m1d": null, "bench_spy_m1d": -0.0010834446322639524, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.026038070333565755, "ret_signed_p1d": -0.026038070333565755, "alpha_spy_p1d": -0.012507386558150646, "alpha_c_p1d": null, "bench_spy_p1d": -0.013530683775415109, "bench_c_p1d": null, "ret_p1w": 0.014397121958998005, "ret_signed_p1w": 0.014397121958998005, "alpha_spy_p1w": 0.07329614447846233, "alpha_c_p1w": null, "bench_spy_p1w": -0.05889902251946433, "bench_c_p1w": null, "ret_p1m": -0.22432753653048243, "ret_signed_p1m": -0.22432753653048243, "alpha_spy_p1m": -0.19927254093132685, "alpha_c_p1m": null, "bench_spy_p1m": -0.025054995599155583, "bench_c_p1m": null, "ret_p3m": -0.4313955792949342, "ret_signed_p3m": -0.4313955792949342, "alpha_spy_p3m": -0.44536316739227, "alpha_c_p3m": null, "bench_spy_p3m": 0.013967588097335781, "bench_c_p3m": null, "ret_p6m": -0.6700163221549598, "ret_signed_p6m": -0.6700163221549598, "alpha_spy_p6m": -0.7254266592558005, "alpha_c_p6m": null, "bench_spy_p6m": 0.055410337100840756, "bench_c_p6m": null, "price_path": [1.117, 0.9016, 0.9188, 0.6013, 0.6524, 0.7317, 0.6451, 0.5106, 0.4838, 0.3843, 0.5454, 0.483, 0.4589, 0.5066, 0.5459, 0.4931, 0.5142, 0.3863, 0.4316, 0.4069, 0.1383, 0.1273, 0.1655, 0.1663, 0.088, 0.0747, 0.0879, 0.0896, 0.0682, 0.098, -0.0011, -0.0127, -0.1399, -0.2059, -0.2425, -0.1357, -0.1647, -0.0966, -0.0091, -0.0235, -0.0356, 0.2896, 0.3625, 0.3909, 0.3482, 0.4074, 0.2895, 0.1805, 0.2651, 0.3355, 0.3092, 0.2263, 0.2678, 0.2847, 0.2764, 0.1883, 0.1232, 0.0669, 0.1313, 0.0773, 0.0624, -0.0263, -0.0059, 0.0, -0.026, 0.0204, 0.0218, -0.0107, 0.0144, -0.0981, -0.1793, -0.2037, -0.3069, -0.2832, -0.2789, -0.1872, -0.2843, -0.28, -0.3161, -0.305, -0.3094, -0.285, -0.2183, -0.2423, -0.2243, -0.1966, -0.1538, -0.1157, -0.0599, -0.0798, 0.002, -0.125, -0.0711, -0.1181, -0.1026, -0.1025, -0.0839, -0.0241, 0.0202, -0.0035, -0.0353, -0.0507, -0.0942, -0.1712, -0.1072, -0.1545, -0.1582, -0.1975, -0.1777, -0.187, -0.2223, -0.2789, -0.2589, -0.2781, -0.3255, -0.2773, -0.2896, -0.2863, -0.2752, -0.2753, -0.2644, -0.2676, -0.2661, -0.2742, -0.3502, -0.391, -0.4314, -0.3886, -0.4157, -0.4027, -0.4026, -0.4077, -0.4142, -0.4858, -0.5054, -0.5354, -0.5125, -0.5471, -0.5239, -0.4847, -0.4856, -0.4833, -0.4937, -0.4961, -0.5113, -0.5401, -0.5243, -0.5358, -0.535, -0.4887, -0.4572, -0.4744, -0.4762, -0.4998, -0.5018, -0.4603, -0.4785, -0.4921, -0.4895, -0.4992, -0.5183, -0.5294, -0.5398, -0.5314, -0.5534, -0.588, -0.6223, -0.6133, -0.641, -0.6564, -0.6702, -0.6706, -0.6654, -0.6282, -0.6736, -0.6594, -0.6656, -0.6522, -0.6499, -0.6358, -0.6191, -0.6267, -0.6354, -0.6257, -0.6049, -0.5908, -0.6468, -0.6525, -0.6603, -0.67]}
{"unit_id": "thread:2017666625856561393", "ticker_idx": 0, "ts": "2026-01-31T18:29:44+00:00", "symbol": "DXY", "kind": "macro", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": false, "explicit_audit": "kept_implicit_alias_present", "polarity_reversed": false, "quote": "the dollar is poised to turn and move up dramatically, as it did in the early eighties because, based on this administration's economic policies, the return on invested capital in the US is likely to increase relative to that in the rest of the world", "tweet_type": "prediction", "timeline": "unspecified", "summary": "ARK's non-consensus view: USD poised to rise dramatically on Reaganomics-style policies boosting US return on invested capital vs rest of world.", "resolved_tickers": ["UUP"], "resolution_method": "etf", "resolution_reason": "DXY dollar index; UUP ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "self_thread", "lang": "en", "tweet_text": "Based on many of the replies here, an underlying assumption is that the US dollar’s role as the world’s reserve currency is diminishing, in line with US exceptionalism, the same sentiment before Reaganomics. This administration’s economic policies are Reaganomics on steroids.\n\n---\n\nIn ARK’s non-consensus view, the dollar is poised to turn and move up dramatically, as it did in the early eighties because, based on this administration’s economic policies, the return on invested capital in the US is likely to increase relative to that in the rest of the world.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.005187083765678668, "ret_signed_m1d": -0.005187083765678668, "alpha_spy_m1d": -0.0002403138195239407, "alpha_c_m1d": -0.0002403138195239407, "bench_spy_m1d": -0.004946769946154728, "bench_c_m1d": -0.004946769946154728, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.002593541882839334, "ret_signed_p1d": -0.002593541882839334, "alpha_spy_p1d": 0.005861854547861256, "alpha_c_p1d": 0.005861854547861256, "bench_spy_p1d": -0.00845539643070059, "bench_c_p1d": -0.00845539643070059, "ret_p1w": -0.007410109569724321, "ret_signed_p1w": -0.007410109569724321, "alpha_spy_p1w": -0.005310671819483748, "alpha_c_p1w": -0.005310671819483748, "bench_spy_p1w": -0.0020994377502405737, "bench_c_p1w": -0.0020994377502405737, "ret_p1m": 0.01741383169100419, "ret_signed_p1m": 0.01741383169100419, "alpha_spy_p1m": 0.039098810242503945, "alpha_c_p1m": 0.039098810242503945, "bench_spy_p1m": -0.021684978551499756, "bench_c_p1m": -0.021684978551499756, "ret_p3m": 0.013708812240500023, "ret_signed_p3m": 0.013708812240500023, "alpha_spy_p3m": -0.022546994766473594, "alpha_c_p3m": -0.022546994766473594, "bench_spy_p3m": 0.03625580700697362, "bench_c_p3m": 0.03625580700697362, "ret_p6m": null, "ret_signed_p6m": null, "alpha_spy_p6m": null, "alpha_c_p6m": null, "bench_spy_p6m": null, "bench_c_p6m": null, "price_path": [0.015, 0.0096, 0.0089, 0.0096, 0.0082, 0.0085, 0.0057, 0.0071, 0.0096, 0.0107, 0.0171, 0.0178, 0.0171, 0.0171, 0.0143, 0.0114, 0.0114, 0.0107, 0.0103, 0.01, 0.005, 0.0071, 0.006, 0.0075, 0.0089, 0.0035, -0.0001, 0.0014, 0.0007, -0.0004, 0.0017, 0.0024, 0.0057, 0.0015, -0.0019, -0.0015, -0.0015, -0.0007, -0.0004, 0.0022, 0.0015, 0.0015, 0.0044, 0.003, 0.0063, 0.0078, 0.0104, 0.0126, 0.0107, 0.0133, 0.0126, 0.0163, 0.0163, 0.0163, 0.0082, 0.0104, 0.0059, -0.003, -0.0078, -0.0193, -0.0133, -0.0148, -0.0052, 0.0, -0.0026, 0.0007, 0.0037, 0.0007, -0.0074, -0.007, -0.0059, -0.0063, -0.0063, -0.0063, -0.003, 0.0033, 0.0048, 0.0037, 0.0037, 0.0044, 0.0033, 0.0041, 0.0033, 0.0126, 0.0174, 0.0156, 0.0182, 0.0178, 0.0174, 0.017, 0.0207, 0.0256, 0.0333, 0.0274, 0.0256, 0.0319, 0.0219, 0.0256, 0.0211, 0.0245, 0.0263, 0.0304, 0.0315, 0.0367, 0.0293, 0.0274, 0.0322, 0.0322, 0.0311, 0.0282, 0.02, 0.0182, 0.0167, 0.0144, 0.0122, 0.0111, 0.0141, 0.0137, 0.0122, 0.0178, 0.0182, 0.02, 0.0182, 0.017, 0.02, 0.023, 0.0137, 0.0156, 0.0182, 0.0189, 0.0133, 0.0156, 0.013, 0.0133, 0.017, 0.0193, 0.0233, 0.0289, 0.0263, 0.0296, 0.0274, 0.0274, 0.0289, 0.0289, 0.0282, 0.0282, 0.0263, 0.0248, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null]}
{"unit_id": "quote:1537195074529943553", "ticker_idx": 0, "ts": "2022-06-15T22:07:20+00:00", "symbol": "genomics and liquid biopsy", "kind": "sector", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": false, "explicit_audit": "kept_implicit_alias_present", "polarity_reversed": false, "quote": "The equity markets are ignoring some of the most profound cancer breakthroughs in history, an indictment of the shift to passive and benchmark sensitive investing and what we believe is the most egregious misallocation of capital in history.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Equity markets are deeply undervaluing cancer-breakthrough companies; bullish on genomics/liquid biopsy sector as a major misallocation opportunity.", "resolved_tickers": ["ARKG"], "resolution_method": "etf", "resolution_reason": "Genomics/liquid biopsy sector; ARKG is ARK Genomics ETF", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "The equity markets are ignoring some of the most profound cancer breakthroughs in history, an indictment of the shift to passive and benchmark sensitive investing and what we believe is the most egregious misallocation of capital in history.", "reply_text": null, "parent_text": null, "quoted_text": "The unmet need created by cancer is durable and non-seasonal. Cancer doesn't care about interest rates or pandemic-driven whipsaws in consumer preference.\n\nMolecular methods to detect, risk-stratify, diagnose, and monitor cancer (e.g. liquid biopsy) are around to stay. https://t.co/JNdfcZkZEV", "parent_author": null, "ret_m1d": -0.04967231960768226, "ret_signed_m1d": -0.04967231960768226, "alpha_spy_m1d": -0.03561640911305319, "alpha_c_m1d": -0.03561640911305319, "bench_spy_m1d": -0.014055910494629065, "bench_c_m1d": -0.014055910494629065, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.0369092688262187, "ret_signed_p1d": -0.0369092688262187, "alpha_spy_p1d": -0.0038130299368048792, "alpha_c_p1d": -0.0038130299368048792, "bench_spy_p1d": -0.03309623888941382, "bench_c_p1d": -0.03309623888941382, "ret_p1w": 0.07174887685850528, "ret_signed_p1w": 0.07174887685850528, "alpha_spy_p1w": 0.08016847525595971, "alpha_c_p1w": 0.08016847525595971, "bench_spy_p1w": -0.00841959839745443, "bench_c_p1w": -0.00841959839745443, "ret_p1m": 0.24939639553871218, "ret_signed_p1m": 0.24939639553871218, "alpha_spy_p1m": 0.24849309896121197, "alpha_c_p1m": 0.24849309896121197, "bench_spy_p1m": 0.0009032965775002122, "bench_c_p1m": 0.0009032965775002122, "ret_p3m": 0.33183859659141857, "ret_signed_p3m": 0.33183859659141857, "alpha_spy_p3m": 0.24337523580935638, "alpha_c_p3m": 0.24337523580935638, "bench_spy_p3m": 0.08846336078206218, "bench_c_p3m": 0.08846336078206218, "ret_p6m": 0.07830287946484238, "ret_signed_p6m": 0.07830287946484238, "alpha_spy_p6m": 0.024541381909509496, "alpha_c_p6m": 0.024541381909509496, "bench_spy_p6m": 0.05376149755533288, "bench_c_p6m": 0.05376149755533288, "price_path": [0.593, 0.5395, 0.605, 0.5671, 0.5833, 0.5443, 0.5695, 0.6747, 0.6137, 0.5843, 0.6568, 0.6882, 0.5981, 0.5578, 0.5467, 0.5047, 0.4719, 0.485, 0.524, 0.4615, 0.4615, 0.4101, 0.437, 0.4067, 0.3377, 0.3177, 0.3632, 0.2811, 0.2729, 0.228, 0.1728, 0.2335, 0.2301, 0.2835, 0.1828, 0.1287, 0.019, 0.0507, -0.0314, 0.0183, 0.1176, 0.0804, 0.1307, 0.078, 0.119, 0.1245, 0.1231, 0.0662, 0.0866, 0.1007, 0.1604, 0.1604, 0.1128, 0.0749, 0.1407, 0.1149, 0.0931, 0.1331, 0.1601, 0.0945, 0.0197, -0.0617, -0.0497, 0.0, -0.0369, 0.0114, 0.0114, 0.0421, 0.0717, 0.1611, 0.1942, 0.1756, 0.1166, 0.1097, 0.0862, 0.1307, 0.1307, 0.2232, 0.2211, 0.2987, 0.2922, 0.228, 0.258, 0.2729, 0.2494, 0.2546, 0.2149, 0.278, 0.3205, 0.3443, 0.2694, 0.2663, 0.2535, 0.3025, 0.2856, 0.2628, 0.2549, 0.2835, 0.3443, 0.367, 0.3932, 0.4063, 0.3301, 0.4239, 0.3953, 0.4457, 0.4622, 0.405, 0.3329, 0.3163, 0.2556, 0.2477, 0.2704, 0.3146, 0.347, 0.2618, 0.2315, 0.2083, 0.2242, 0.2321, 0.1959, 0.1959, 0.1742, 0.2297, 0.2742, 0.3018, 0.3318, 0.2577, 0.278, 0.2998, 0.2328, 0.2221, 0.2028, 0.1704, 0.1373, 0.1087, 0.089, 0.1121, 0.1808, 0.1345, 0.1338, 0.1449, 0.2318, 0.2087, 0.2083, 0.1335, 0.1004, 0.0945, 0.1011, 0.0935, 0.0528, 0.1021, 0.1162, 0.0521, 0.0462, 0.0735, 0.068, 0.1256, 0.1573, 0.138, 0.179, 0.1645, 0.1794, 0.1394, 0.1266, 0.1214, 0.0893, 0.1087, 0.0614, 0.1804, 0.2497, 0.207, 0.2073, 0.1607, 0.13, 0.1125, 0.0938, 0.0897, 0.0997, 0.0997, 0.0935, 0.0566, 0.0524, 0.1211, 0.1283, 0.1376, 0.0859, 0.0517, 0.0548, 0.0783]}
{"unit_id": "thread:1118593282345459714", "ticker_idx": 0, "ts": "2019-04-17T19:13:15+00:00", "symbol": "CRSP", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "I'll place my vote on the #FDA and Manisha, not laymen in Congress", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish CRSP on FDA fast-track designation for CRISPR beta thalassemia treatment; backs FDA's conviction over Congressional skeptics.", "resolved_tickers": ["CRSP"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLV", "bench_c_reason": "industry='Biotechnology'", "bench_c_industry": "Biotechnology", "unit_kind": "self_thread", "lang": "en", "tweet_text": ".@msamyARK has done research on and with CRISPR gene-editing.  She agrees with the FDA’s announcement yesterday that $CRSP’s CRISPR is ready for “fast track designation” to treat and cure beta thalassemia. I’ll place my vote on the #FDA and Manisha, not laymen in Congress.\n\n---\n\nI admire the FDA’s courage and conviction.  It will save and transform lives!", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.07274228667800497, "ret_signed_m1d": 0.07274228667800497, "alpha_spy_m1d": 0.07028961438175552, "alpha_c_m1d": 0.043131665211911585, "bench_spy_m1d": 0.0024526722962494585, "bench_c_m1d": 0.02961062146609339, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.004666538079013516, "ret_signed_p1d": -0.004666538079013516, "alpha_spy_p1d": -0.006635253515891448, "alpha_c_p1d": -0.006298873873805566, "bench_spy_p1d": 0.0019687154368779325, "bench_c_p1d": 0.0016323357947920503, "ret_p1w": 0.058742777154036974, "ret_signed_p1w": 0.058742777154036974, "alpha_spy_p1w": 0.04913877909688669, "alpha_c_p1w": 0.04183879911910848, "bench_spy_p1w": 0.009603998057150287, "bench_c_p1w": 0.01690397803492849, "ret_p1m": 0.08262416404936346, "ret_signed_p1m": 0.08262416404936346, "alpha_spy_p1m": 0.08867052325419955, "alpha_c_p1m": 0.049399536089030915, "bench_spy_p1m": -0.006046359204836094, "bench_c_p1m": 0.03322462796033254, "ret_p3m": 0.352731220600496, "ret_signed_p3m": 0.352731220600496, "alpha_spy_p3m": 0.30863859582213893, "alpha_c_p3m": 0.26815085125631377, "bench_spy_p3m": 0.04409262477835707, "bench_c_p3m": 0.08458036934418223, "ret_p6m": 0.010430992723907462, "ret_signed_p6m": 0.010430992723907462, "alpha_spy_p6m": -0.012291220720378915, "alpha_c_p6m": -0.03821261396089626, "bench_spy_p6m": 0.022722213444286377, "bench_c_p6m": 0.04864360668480372, "price_path": [0.0192, 0.0192, -0.092, -0.1381, -0.1136, -0.0887, -0.1444, -0.1499, -0.115, -0.1098, -0.1238, -0.1057, -0.1095, -0.1043, -0.1825, -0.1658, -0.1455, -0.1315, -0.146, -0.151, -0.1348, -0.1348, -0.1103, -0.1219, -0.1441, -0.1307, 0.0884, -0.0063, 0.0082, -0.0285, 0.0972, 0.0958, 0.1219, 0.0538, 0.0623, 0.0349, 0.0716, 0.0818, 0.0823, 0.0582, 0.0607, 0.0398, 0.0222, 0.0184, 0.0393, -0.0231, -0.0615, -0.0439, -0.0609, -0.0412, -0.0195, -0.0269, 0.0404, 0.0497, 0.0472, 0.0546, 0.0615, 0.0343, 0.0656, 0.0296, 0.0406, 0.0198, 0.0727, 0.0, -0.0047, -0.0047, 0.0225, 0.0618, 0.0587, 0.0859, 0.126, 0.1057, 0.1032, 0.0656, 0.1057, 0.1136, 0.1554, 0.0749, 0.0942, 0.0977, 0.1142, 0.0362, 0.0327, 0.0615, 0.0826, 0.0659, 0.0346, 0.0823, 0.0656, 0.0104, 0.0156, 0.0156, 0.008, 0.0118, 0.0044, -0.0236, -0.0121, 0.0228, 0.0302, 0.0225, 0.1771, 0.2182, 0.1946, 0.1949, 0.2149, 0.1878, 0.2921, 0.3231, 0.2888, 0.2174, 0.2465, 0.19, 0.2072, 0.2056, 0.2451, 0.2929, 0.3096, 0.2871, 0.3149, 0.3149, 0.3063, 0.2987, 0.3184, 0.3678, 0.35, 0.3481, 0.3527, 0.3313, 0.3516, 0.3648, 0.3461, 0.3558, 0.3481, 0.3489, 0.3632, 0.4252, 0.4087, 0.3923, 0.3914, 0.4428, 0.3695, 0.2352, 0.3039, 0.3176, 0.3464, 0.3725, 0.3434, 0.2976, 0.2701, 0.2654, 0.3052, 0.3335, 0.3319, 0.3445, 0.3412, 0.28, 0.2822, 0.2254, 0.2652, 0.283, 0.2685, 0.2685, 0.2303, 0.2484, 0.2871, 0.2569, 0.247, 0.2682, 0.314, 0.3187, 0.3085, 0.3634, 0.3511, 0.356, 0.3041, 0.3267, 0.3094, 0.2613, 0.2369, 0.1652, 0.1628, 0.1252, 0.0576, 0.073, 0.0648, 0.0881, 0.1276, 0.0255, 0.0082, 0.0104]}
{"unit_id": "thread:1613923255844315137", "ticker_idx": 0, "ts": "2023-01-13T15:37:44+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Tesla can cut prices in line with battery cost declines, driving demand while limiting the impact on profitability", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish TSLA: battery cost advantage via Wright's Law + 3-year lead over rivals supports demand growth with limited margin hit.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "self_thread", "lang": "en", "tweet_text": "Now that supply chain bottlenecks are diminishing, #Tesla can cut prices in line with battery cost declines, driving demand while limiting the impact on profitability. According to Wright’s Law, battery costs drop 28% for every cumulative doubling in unit production!\n\n---\n\nAccording to @skorusARK’s research, having leveraged off the consumer electronics industry (which most other auto manufacturers did not do), Tesla’s batteries are three years ahead of the competition in terms of costs for a given range and performance.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.009477091652401626, "ret_signed_m1d": 0.009477091652401626, "alpha_spy_m1d": 0.013341587610322225, "alpha_c_m1d": 0.018782632425317414, "bench_spy_m1d": -0.0038644959579205995, "bench_c_m1d": -0.009305540772915788, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0, "ret_signed_p1d": 0.0, "alpha_spy_p1d": 0.0, "alpha_c_p1d": 0.0, "bench_spy_p1d": 0.0, "bench_c_p1d": 0.0, "ret_p1w": 0.09003265119025716, "ret_signed_p1w": 0.09003265119025716, "alpha_spy_p1w": 0.09660723118514769, "alpha_c_p1w": 0.09518655306616297, "bench_spy_p1w": -0.006574579994890528, "bench_c_p1w": -0.005153901875905809, "ret_p1m": 0.5901960536209299, "ret_signed_p1m": 0.5901960536209299, "alpha_spy_p1m": 0.5542363339774259, "alpha_c_p1m": 0.51417608515623, "bench_spy_p1m": 0.03595971964350397, "bench_c_p1m": 0.07601996846469983, "ret_p3m": 0.47499992676030667, "ret_signed_p3m": 0.47499992676030667, "alpha_spy_p3m": 0.44712716179077705, "alpha_c_p3m": 0.4443770708980057, "bench_spy_p3m": 0.027872764969529618, "bench_c_p3m": 0.030622855862300957, "ret_p6m": 1.2026959312950591, "ret_signed_p6m": 1.2026959312950591, "alpha_spy_p6m": 1.091084006062543, "alpha_c_p6m": 0.980425394166532, "bench_spy_p6m": 0.11161192523251606, "bench_c_p6m": 0.22227053712852718, "price_path": [0.7989, 0.8141, 0.6935, 0.752, 0.7259, 0.8172, 0.8353, 0.839, 0.867, 0.859, 0.8613, 0.7564, 0.7591, 0.695, 0.6101, 0.5629, 0.4509, 0.5582, 0.6011, 0.56, 0.5884, 0.5271, 0.4965, 0.4721, 0.3715, 0.3882, 0.4967, 0.4967, 0.494, 0.4944, 0.4774, 0.5907, 0.5907, 0.592, 0.4906, 0.4691, 0.4219, 0.417, 0.4628, 0.3711, 0.315, 0.281, 0.2882, 0.2274, 0.2244, 0.1258, 0.1239, 0.0241, 0.0061, 0.0061, -0.1087, -0.0792, -0.0047, 0.0064, 0.0064, -0.1168, -0.0716, -0.0985, -0.0763, -0.0215, -0.029, 0.0067, 0.0095, 0.0, 0.0, 0.0743, 0.0521, 0.039, 0.09, 0.1744, 0.1756, 0.18, 0.3094, 0.4534, 0.3616, 0.4152, 0.4821, 0.5382, 0.5521, 0.5912, 0.6079, 0.6445, 0.6938, 0.6086, 0.5902, 0.7096, 0.7503, 0.6507, 0.7019, 0.7019, 0.6125, 0.641, 0.6509, 0.6085, 0.6963, 0.6806, 0.6566, 0.5596, 0.6159, 0.5834, 0.5336, 0.4869, 0.4127, 0.417, 0.4255, 0.4972, 0.4743, 0.5043, 0.4717, 0.4971, 0.6142, 0.5617, 0.5704, 0.5556, 0.5671, 0.5457, 0.584, 0.5954, 0.6949, 0.5913, 0.5734, 0.5157, 0.5119, 0.5119, 0.5074, 0.5261, 0.475, 0.5188, 0.5114, 0.5281, 0.5058, 0.4754, 0.3316, 0.3487, 0.328, 0.3127, 0.2561, 0.3087, 0.3424, 0.3221, 0.3097, 0.3122, 0.317, 0.3894, 0.4035, 0.3819, 0.377, 0.4059, 0.3724, 0.3591, 0.3605, 0.4204, 0.4452, 0.4717, 0.5431, 0.5177, 0.4943, 0.5071, 0.5782, 0.5782, 0.6435, 0.6661, 0.6954, 0.7481, 0.7779, 0.8081, 0.8347, 0.9188, 0.9967, 1.0411, 1.1136, 1.098, 1.0907, 1.1286, 1.1286, 1.2422, 1.1198, 1.1618, 1.0964, 0.9694, 1.0442, 1.0935, 1.1038, 1.1386, 1.2861, 1.2861, 1.3078, 1.2593, 1.2421, 1.2027]}
{"unit_id": "quote:965025228240891905", "ticker_idx": 0, "ts": "2018-02-18T00:48:38+00:00", "symbol": "DX-Y.NYB", "kind": "index", "geography": "US", "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "short #dollar is either the most or second most crowded trade in the market today. This 'reverse head and shoulders' could blow that trade up, as the #ROIC is rising dramatically in the US relative to that in the ROW, thanks to tax reform and massive deregulation!", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish USD: crowded short-dollar trade at risk of squeeze; reverse H&S pattern + rising US ROIC vs. ROW on tax reform and deregulation.", "resolved_tickers": ["UUP"], "resolution_method": "etf", "resolution_reason": "DX-Y.NYB = DXY dollar index; UUP is liquid ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Be careful:  short #dollar is either the most or second most crowded trade in the market today.  This “reverse head and shoulders” could blow that trade up, as the #ROIC is rising dramatically in the US relative to that in the ROW, thanks to tax reform and massive deregulation! https://t.co/bIQODpqcMK", "reply_text": null, "parent_text": null, "quoted_text": "The pace of the downtrend in the U.S. dollar index (DXY) is nearly identical to the previous cycle (blue lines in the chart) https://t.co/KYmvjGVhlL", "parent_author": null, "ret_m1d": 0.0, "ret_signed_m1d": 0.0, "alpha_spy_m1d": 0.0, "alpha_c_m1d": 0.0, "bench_spy_m1d": 0.0, "bench_c_m1d": 0.0, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.006440583048028081, "ret_signed_p1d": 0.006440583048028081, "alpha_spy_p1d": 0.012701660222445565, "alpha_c_p1d": 0.012701660222445565, "bench_spy_p1d": -0.006261077174417484, "bench_c_p1d": -0.006261077174417484, "ret_p1w": 0.007728680069783778, "ret_signed_p1w": 0.007728680069783778, "alpha_spy_p1w": -0.009809953286907147, "alpha_c_p1w": -0.009809953286907147, "bench_spy_p1w": 0.017538633356690925, "bench_c_p1w": 0.017538633356690925, "ret_p1m": 0.015886725813485825, "ret_signed_p1m": 0.015886725813485825, "alpha_spy_p1m": 0.01982225096922885, "alpha_c_p1m": 0.01982225096922885, "bench_spy_p1m": -0.003935525155743025, "bench_c_p1m": -0.003935525155743025, "ret_p3m": 0.055818125244909256, "ret_signed_p3m": 0.055818125244909256, "alpha_spy_p3m": 0.055856782881642864, "alpha_c_p3m": 0.055856782881642864, "bench_spy_p3m": -3.865763673360778e-05, "bench_c_p3m": -3.865763673360778e-05, "ret_p6m": 0.0987548885152616, "ret_signed_p6m": 0.0987548885152616, "alpha_spy_p6m": 0.050397168391600244, "alpha_c_p6m": 0.050397168391600244, "bench_spy_p6m": 0.04835772012366135, "bench_c_p6m": 0.04835772012366135, "price_path": [0.0398, 0.0398, 0.0351, 0.0364, 0.0407, 0.0402, 0.0377, 0.0368, 0.0402, 0.042, 0.0445, 0.0467, 0.0484, 0.0484, 0.0501, 0.0428, 0.0437, 0.048, 0.0464, 0.0434, 0.0421, 0.0416, 0.0421, 0.0421, 0.0412, 0.0391, 0.0361, 0.0318, 0.0318, 0.0275, 0.0313, 0.0279, 0.0288, 0.0335, 0.0356, 0.0331, 0.0288, 0.018, 0.018, 0.0125, 0.015, 0.0137, 0.0155, 0.012, 0.0094, -0.0004, 0.0009, -0.0013, 0.0013, -0.0004, -0.0017, -0.0069, -0.0009, 0.0034, 0.0056, 0.0133, 0.0133, 0.0142, 0.0107, 0.0052, -0.0026, -0.0069, 0.0, 0.0, 0.0064, 0.0103, 0.0069, 0.009, 0.0077, 0.0142, 0.0172, 0.0137, 0.0094, 0.0094, 0.0069, 0.006, 0.0125, 0.0112, 0.0099, 0.0073, 0.0077, 0.0116, 0.0142, 0.0099, 0.0159, 0.0077, 0.009, 0.0056, 0.0009, 0.0056, 0.0146, 0.0137, 0.0137, 0.0133, 0.015, 0.0146, 0.0185, 0.0146, 0.012, 0.0094, 0.0086, 0.0107, 0.0107, 0.0073, 0.0073, 0.0094, 0.0125, 0.0185, 0.0249, 0.0236, 0.0279, 0.0326, 0.0318, 0.0361, 0.0429, 0.0477, 0.0434, 0.0447, 0.0468, 0.0507, 0.0507, 0.0459, 0.0442, 0.0455, 0.052, 0.0545, 0.0558, 0.058, 0.0571, 0.0567, 0.061, 0.0597, 0.0648, 0.0648, 0.0721, 0.064, 0.0631, 0.0648, 0.064, 0.0627, 0.0597, 0.0575, 0.058, 0.0588, 0.061, 0.0593, 0.073, 0.0721, 0.0721, 0.0751, 0.076, 0.073, 0.0691, 0.0674, 0.073, 0.0794, 0.0794, 0.0708, 0.076, 0.0726, 0.0726, 0.0691, 0.0657, 0.0661, 0.0666, 0.0739, 0.0747, 0.0734, 0.0717, 0.0764, 0.0777, 0.0799, 0.0713, 0.073, 0.0734, 0.0683, 0.0756, 0.0743, 0.0704, 0.0726, 0.0739, 0.0799, 0.0807, 0.0824, 0.0812, 0.0799, 0.0863, 0.094, 0.0945, 0.0988]}
{"unit_id": "quote:904521737517326336", "ticker_idx": 0, "ts": "2017-09-04T01:49:22+00:00", "symbol": "S&P500", "kind": "index", "geography": "US", "sub_sector": null, "direction": "long", "conviction": "low", "explicit": false, "explicit_audit": "kept_implicit", "polarity_reversed": false, "quote": "equities will get a fillip", "tweet_type": "prediction", "timeline": "unspecified", "summary": "If tax reform and Warsh as Fed head materialize, equities get a boost — conditional bullish lean on US stocks.", "resolved_tickers": ["SPY"], "resolution_method": "etf", "resolution_reason": "S&P 500 index; SPY ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "If Larry is right about #TaxReform17 and #KevinWarsh, equities will get a fillip. https://t.co/G1lSrOPDwD", "reply_text": null, "parent_text": null, "quoted_text": "W/out doubt, @realDonaldTrump absolutely committed to tax cuts. And #KevinWarsh may be new Fed front runner. https://t.co/8Ttw7sxwZ8", "parent_author": null, "ret_m1d": 0.0, "ret_signed_m1d": 0.0, "alpha_spy_m1d": 0.0, "alpha_c_m1d": 0.0, "bench_spy_m1d": 0.0, "bench_c_m1d": 0.0, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.007182030284387908, "ret_signed_p1d": -0.007182030284387908, "alpha_spy_p1d": 0.0, "alpha_c_p1d": 0.0, "bench_spy_p1d": -0.007182030284387908, "bench_c_p1d": -0.007182030284387908, "ret_p1w": 0.005527693188934313, "ret_signed_p1w": 0.005527693188934313, "alpha_spy_p1w": 0.0, "alpha_c_p1w": 0.0, "bench_spy_p1w": 0.005527693188934313, "bench_c_p1w": 0.005527693188934313, "ret_p1m": 0.025318338362737558, "ret_signed_p1m": 0.025318338362737558, "alpha_spy_p1m": 0.0, "alpha_c_p1m": 0.0, "bench_spy_p1m": 0.025318338362737558, "bench_c_p1m": 0.025318338362737558, "ret_p3m": 0.07458535058853877, "ret_signed_p3m": 0.07458535058853877, "alpha_spy_p3m": 0.0, "alpha_c_p3m": 0.0, "bench_spy_p3m": 0.07458535058853877, "bench_c_p3m": 0.07458535058853877, "ret_p6m": 0.11847036207824702, "ret_signed_p6m": 0.11847036207824702, "alpha_spy_p6m": 0.0, "alpha_c_p6m": 0.0, "bench_spy_p6m": 0.11847036207824702, "bench_c_p6m": 0.11847036207824702, "price_path": [-0.0216, -0.0212, -0.0226, -0.0228, -0.0181, -0.0193, -0.0212, -0.021, -0.0128, -0.0195, -0.0197, -0.0202, -0.019, -0.0184, -0.0263, -0.0176, -0.0262, -0.0244, -0.0227, -0.0227, -0.0205, -0.0294, -0.0231, -0.0221, -0.0228, -0.0155, -0.0138, -0.0092, -0.0093, -0.0088, -0.0034, -0.003, -0.0039, -0.0041, -0.0017, -0.0017, -0.0026, -0.0038, -0.0043, -0.0021, -0.0016, -0.0036, -0.0017, 0.0001, -0.0023, -0.0024, -0.0165, -0.015, -0.0052, -0.0054, -0.0036, -0.0192, -0.0207, -0.0199, -0.0097, -0.0132, -0.0155, -0.0132, -0.0132, -0.0121, -0.0074, -0.0014, 0.0, 0.0, -0.0072, -0.0038, -0.0039, -0.0051, 0.0055, 0.0089, 0.0094, 0.0091, 0.0104, 0.0126, 0.0136, 0.014, 0.0112, 0.0115, 0.0094, 0.01, 0.0139, 0.0151, 0.0187, 0.0231, 0.0253, 0.0265, 0.0326, 0.0314, 0.0297, 0.0325, 0.0341, 0.0325, 0.0338, 0.0352, 0.0359, 0.0369, 0.0372, 0.0426, 0.0385, 0.0403, 0.0352, 0.0365, 0.045, 0.0411, 0.0427, 0.0441, 0.0445, 0.048, 0.0496, 0.0489, 0.0507, 0.0468, 0.0465, 0.0475, 0.0451, 0.0398, 0.0487, 0.0456, 0.0474, 0.0542, 0.0533, 0.0533, 0.0557, 0.0552, 0.0659, 0.0653, 0.0746, 0.0724, 0.0711, 0.0672, 0.0674, 0.0708, 0.0766, 0.0799, 0.0818, 0.0816, 0.0772, 0.0862, 0.0931, 0.0889, 0.0883, 0.0906, 0.0903, 0.0903, 0.089, 0.0895, 0.0917, 0.0876, 0.0876, 0.0954, 0.1023, 0.107, 0.1144, 0.1164, 0.1189, 0.1172, 0.1254, 0.1327, 0.1327, 0.1288, 0.1396, 0.1377, 0.1428, 0.1521, 0.1546, 0.1541, 0.1546, 0.168, 0.1602, 0.1483, 0.1489, 0.1476, 0.1226, 0.0757, 0.0969, 0.0909, 0.05, 0.0658, 0.0814, 0.0841, 0.0987, 0.1128, 0.1131, 0.1131, 0.1061, 0.1006, 0.102, 0.1196, 0.1326, 0.1185]}
{"unit_id": "quote:1288315148818681856", "ticker_idx": 0, "ts": "2020-07-29T03:27:21+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "a $TSLA ride-hailing service will lower the probability of our bear case substantially during the next five years, bolstering our base case at ~$7,000", "tweet_type": "analysis", "timeline": "years", "summary": "Long TSLA with $7,000 base-case price target; ride-hailing launch reduces bear-case probability over 5 years.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "If successful, which we believe will be the case, a $TSLA ride-hailing service will lower the probability of our bear case substantially during the next five years, bolstering our base case at ~$7,000. We are encouraged that few analysts are modeling this possibility!", "reply_text": null, "parent_text": null, "quoted_text": "Although it didn't face many such questions on its earnings call last week, ARK believes #Tesla has strategic &amp; tactical reasons to launch a ride-hailing service with human drivers before its robotaxi network launches next year. Analyst @TashaARK has more: https://t.co/SKKfCYdIcV", "parent_author": null, "ret_m1d": -0.015088908877894824, "ret_signed_m1d": -0.015088908877894824, "alpha_spy_m1d": -0.002939883160605117, "alpha_c_m1d": -0.005044863075133854, "bench_spy_m1d": -0.012149025717289708, "bench_c_m1d": -0.01004404580276097, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.007751257440881121, "ret_signed_p1d": -0.007751257440881121, "alpha_spy_p1d": -0.0041835403548580175, "alpha_c_p1d": -0.006945067174354502, "bench_spy_p1d": -0.0035677170860231033, "bench_c_p1d": -0.0008061902665266185, "ret_p1w": -0.00939888726396576, "ret_signed_p1w": -0.00939888726396576, "alpha_spy_p1w": -0.03089882291025081, "alpha_c_p1w": -0.03205317352255166, "bench_spy_p1w": 0.02149993564628505, "bench_c_p1w": 0.0226542862585859, "ret_p1m": 0.4933860827305141, "ret_signed_p1m": 0.4933860827305141, "alpha_spy_p1m": 0.421997276698304, "alpha_c_p1m": 0.39697821630057684, "bench_spy_p1m": 0.0713888060322101, "bench_c_p1m": 0.09640786642993726, "ret_p3m": 0.4017651006460361, "ret_signed_p3m": 0.4017651006460361, "alpha_spy_p3m": 0.3536948072764614, "alpha_c_p3m": 0.29934730311426017, "bench_spy_p3m": 0.04807029336957469, "bench_c_p3m": 0.10241779753177593, "ret_p6m": 1.8183055085708735, "ret_signed_p6m": 1.8183055085708735, "alpha_spy_p6m": 1.6266760054120515, "alpha_c_p6m": 1.5619944130917485, "bench_spy_p6m": 0.191629503158822, "bench_c_p6m": 0.256311095479125, "price_path": [-0.5322, -0.4922, -0.4876, -0.478, -0.4797, -0.4534, -0.4588, -0.4601, -0.4724, -0.4641, -0.4669, -0.4573, -0.461, -0.456, -0.4479, -0.4551, -0.4551, -0.4538, -0.4529, -0.4625, -0.443, -0.4009, -0.4119, -0.411, -0.4234, -0.4092, -0.3663, -0.3725, -0.3162, -0.3511, -0.3761, -0.339, -0.3449, -0.3384, -0.3303, -0.3323, -0.3367, -0.3318, -0.3591, -0.3423, -0.3598, -0.3267, -0.2797, -0.2531, -0.1937, -0.1937, -0.0851, -0.0729, -0.0889, -0.0699, 0.0304, -0.0014, 0.0118, 0.0313, 0.001, 0.0012, 0.096, 0.0462, 0.0622, 0.0093, -0.0548, 0.027, -0.0151, 0.0, -0.0078, -0.0456, -0.0094, -0.0081, -0.0094, -0.0064, -0.031, -0.0537, -0.0832, 0.0371, 0.0813, 0.1011, 0.2245, 0.2588, 0.2531, 0.3353, 0.3675, 0.3436, 0.3497, 0.4363, 0.4934, 0.4765, 0.6621, 0.5844, 0.4921, 0.3575, 0.3952, 0.3952, 0.1014, 0.2217, 0.2385, 0.2431, 0.3996, 0.5001, 0.4734, 0.4123, 0.4747, 0.4989, 0.4149, 0.2686, 0.2934, 0.3586, 0.4048, 0.3977, 0.4309, 0.4948, 0.3845, 0.4198, 0.3808, 0.4185, 0.4206, 0.4475, 0.4752, 0.4897, 0.5386, 0.4972, 0.4664, 0.437, 0.4073, 0.4096, 0.4201, 0.4029, 0.4018, 0.4164, 0.3542, 0.3702, 0.2942, 0.3358, 0.4138, 0.4041, 0.4612, 0.434, 0.405, 0.3687, 0.3913, 0.3733, 0.3625, 0.3611, 0.4729, 0.6231, 0.6652, 0.633, 0.7405, 0.8524, 0.9145, 0.9145, 0.9537, 0.8931, 0.9504, 0.8972, 0.9791, 0.998, 1.1405, 1.1676, 1.0161, 1.0915, 1.0345, 1.134, 1.1121, 1.0771, 1.1876, 1.318, 1.1675, 1.1357, 1.1545, 1.2072, 1.2072, 1.2136, 1.2213, 1.3173, 1.3536, 1.3536, 1.434, 1.4518, 1.5214, 1.7217, 1.9351, 1.7056, 1.8331, 1.8497, 1.8183, 1.7555, 1.7555, 1.8168, 1.8365, 1.8183]}
{"unit_id": "quote:886076641381941248", "ticker_idx": 0, "ts": "2017-07-15T04:15:08+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "bitcoin seems quite undervalued vs AMZN ($475B) & $AAPL ($800B)", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bitcoin appears undervalued at ~$34B market cap vs Amazon and Apple; implied bullish.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "True and possible...though at &lt;$2,100 today, or $34B \"market cap\", #bitcoin seems quite undervalued vs AMZN ($475B) &amp; $AAPL ($800B). https://t.co/11b3fI5LYx", "reply_text": null, "parent_text": null, "quoted_text": "@IamNomad Indeed, Bitcoin could drop to just above $1,000 and still be in a bull market . https://t.co/pvdzRl9Nhw", "parent_author": null, "ret_m1d": 0.002212418709169661, "ret_signed_m1d": 0.002212418709169661, "alpha_spy_m1d": 0.0020904604271752003, "alpha_c_m1d": null, "bench_spy_m1d": 0.0001219582819944609, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.0405984420601897, "ret_signed_p1d": 0.0405984420601897, "alpha_spy_p1d": 0.04006910032395461, "alpha_c_p1d": null, "bench_spy_p1d": 0.0005293417362350894, "bench_c_p1d": null, "ret_p1w": 0.23624477366202834, "ret_signed_p1w": 0.23624477366202834, "alpha_spy_p1w": 0.23099079660958455, "alpha_c_p1w": null, "bench_spy_p1w": 0.005253977052443792, "bench_c_p1w": null, "ret_p1m": 0.8766431404995438, "ret_signed_p1m": 0.8766431404995438, "alpha_spy_p1m": 0.8726519665704873, "alpha_c_p1m": null, "bench_spy_p1m": 0.003991173929056568, "bench_c_p1m": null, "ret_p3m": 1.4443035038800591, "ret_signed_p3m": 1.4443035038800591, "alpha_spy_p3m": 1.402053018400512, "alpha_c_p3m": null, "bench_spy_p3m": 0.04225048547954713, "bench_c_p3m": null, "ret_p6m": 5.5496928151828415, "ret_signed_p6m": 5.5496928151828415, "alpha_spy_p6m": 5.420247507124779, "alpha_c_p6m": null, "bench_spy_p6m": 0.12944530805806176, "bench_c_p6m": null, "price_path": [-0.4569, -0.4484, -0.4516, -0.439, -0.4321, -0.4251, -0.4087, -0.4092, -0.3621, -0.348, -0.3313, -0.31, -0.302, -0.2266, -0.2123, -0.198, -0.1705, -0.2262, -0.2199, -0.2217, -0.1747, -0.1525, -0.108, -0.0247, 0.0413, 0.0966, 0.0344, -0.0117, 0.0122, -0.0238, 0.026, 0.0805, 0.1167, 0.2057, 0.2849, 0.2261, 0.259, 0.2672, 0.1935, 0.2193, 0.1247, 0.106, 0.1302, 0.1621, 0.2214, 0.2067, 0.2141, 0.2318, 0.1122, 0.1454, 0.1554, 0.1395, 0.1133, 0.1506, 0.1675, 0.1676, 0.1706, 0.1302, 0.0647, 0.0491, 0.0765, 0.0581, 0.0022, 0.0, 0.0406, 0.0202, 0.2644, 0.1972, 0.2362, 0.1562, 0.1351, 0.199, 0.2605, 0.2903, 0.2198, 0.2164, 0.2586, 0.2995, 0.5163, 0.5347, 0.4999, 0.5174, 0.6382, 0.9409, 0.8766, 0.964, 0.9438, 0.8671, 0.7958, 0.8401, 0.863, 0.9452, 0.9618, 0.9667, 1.0548, 1.0487, 1.1106, 1.1953, 0.901, 0.964, 1.063, 1.0642, 0.8977, 0.8674, 0.8537, 0.7423, 0.4158, 0.6323, 0.8243, 0.7613, 0.7528, 0.6294, 0.6293, 0.7618, 0.7467, 0.8851, 0.8734, 0.8682, 0.9787, 0.9375, 0.8979, 0.9424, 0.9614, 1.1414, 1.1459, 1.1659, 1.4443, 1.5342, 1.5694, 1.5155, 1.5088, 1.5617, 1.6976, 1.6612, 1.4801, 1.5807, 1.6498, 1.5942, 1.7511, 1.9027, 2.0368, 2.1765, 2.2345, 2.1515, 2.206, 2.3475, 2.2057, 1.9699, 1.9436, 1.9778, 2.2829, 2.5324, 2.4594, 2.68, 2.622, 2.7038, 2.6074, 2.7038, 3.406, 3.5139, 3.4375, 3.5923, 3.9253, 4.2312, 4.3476, 5.4133, 7.0325, 6.4355, 6.6004, 6.8152, 6.3632, 6.4331, 6.946, 7.5775, 6.9773, 6.4603, 6.0916, 5.207, 5.2944, 6.2248, 6.1075, 5.5547, 5.577, 5.1287, 5.7232, 5.8215, 6.0001, 6.8215, 5.8076, 5.5497]}
{"unit_id": "orig:1443694082165968902", "ticker_idx": 0, "ts": "2021-09-30T21:47:46+00:00", "symbol": "ZM", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$ZM is evolving into the fabric connecting global enterprise communications", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish ZM as enterprise comms fabric; bearish FIVN as the dependent, weaker party in the relationship.", "resolved_tickers": ["ZM"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": "Software - Application", "unit_kind": "original", "lang": "en", "tweet_text": ".@issgovernance: If, as we anticipate, $ZM is evolving into the fabric connecting global enterprise communications, then $FIVN will need Zoom more than Zoom will need Five9. Here's our blog. Happy to discuss and debate! https://t.co/5Ucz2cqSJ1", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.015640521368606608, "ret_signed_m1d": -0.015640521368606608, "alpha_spy_m1d": -0.028014011277680773, "alpha_c_m1d": -0.028014011277680773, "bench_spy_m1d": 0.012373489909074165, "bench_c_m1d": 0.012373489909074165, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.022982828931644272, "ret_signed_p1d": 0.022982828931644272, "alpha_spy_p1d": 0.01109863821268453, "alpha_c_p1d": 0.01109863821268453, "bench_spy_p1d": 0.011884190718959742, "bench_c_p1d": 0.011884190718959742, "ret_p1w": -0.020000042012727093, "ret_signed_p1w": -0.020000042012727093, "alpha_spy_p1w": -0.04218410172235809, "alpha_c_p1w": -0.04218410172235809, "bench_spy_p1w": 0.022184059709631, "bench_c_p1w": 0.022184059709631, "ret_p1m": 0.05028678354296123, "ret_signed_p1m": 0.05028678354296123, "alpha_spy_p1m": -0.019876889608205772, "alpha_c_p1m": -0.019876889608205772, "bench_spy_p1m": 0.070163673151167, "bench_c_p1m": 0.070163673151167, "ret_p3m": -0.29724663758141134, "ret_signed_p3m": -0.29724663758141134, "alpha_spy_p3m": -0.4123730330637607, "alpha_c_p3m": -0.4123730330637607, "bench_spy_p3m": 0.11512639548234938, "bench_c_p3m": 0.11512639548234938, "ret_p6m": -0.5643212225423488, "ret_signed_p6m": -0.5643212225423488, "alpha_spy_p6m": -0.6261931353920203, "alpha_c_p6m": -0.6261931353920203, "bench_spy_p6m": 0.06187191284967142, "bench_c_p6m": 0.06187191284967142, "price_path": [0.4872, 0.5339, 0.5063, 0.4761, 0.4726, 0.4498, 0.447, 0.379, 0.3645, 0.3842, 0.3545, 0.3607, 0.3498, 0.382, 0.3737, 0.4269, 0.4055, 0.413, 0.4762, 0.4459, 0.4492, 0.4336, 0.5319, 0.5246, 0.4664, 0.4659, 0.4247, 0.3712, 0.3876, 0.3585, 0.3324, 0.3214, 0.3037, 0.2711, 0.2882, 0.3052, 0.3011, 0.2915, 0.3026, 0.3033, 0.3289, 0.1071, 0.1123, 0.1285, 0.1407, 0.1407, 0.1471, 0.1228, 0.1314, 0.153, 0.1099, 0.0763, 0.0674, 0.0639, 0.1001, 0.0733, 0.064, 0.0629, 0.0562, 0.0415, 0.0435, 0.0015, -0.0156, 0.0, 0.023, -0.0073, -0.0167, -0.03, -0.02, -0.0247, -0.0288, -0.023, 0.0181, 0.0211, 0.0184, 0.0487, 0.057, 0.0543, 0.0508, 0.0615, 0.0699, 0.0658, 0.0433, 0.0577, 0.0503, 0.0667, 0.0719, 0.0924, 0.0792, 0.0122, -0.0061, -0.0119, -0.0392, -0.0532, -0.025, 0.0085, 0.0114, 0.0085, -0.022, -0.039, -0.0735, -0.2098, -0.2034, -0.2034, -0.1579, -0.1626, -0.1915, -0.2439, -0.2667, -0.2967, -0.2893, -0.277, -0.2548, -0.28, -0.2916, -0.2942, -0.3042, -0.2974, -0.3025, -0.2362, -0.2429, -0.2374, -0.2615, -0.2671, -0.2671, -0.2832, -0.2972, -0.3047, -0.2714, -0.2967, -0.2954, -0.3122, -0.3312, -0.3257, -0.3438, -0.3401, -0.3271, -0.3474, -0.3801, -0.3892, -0.3892, -0.3969, -0.3987, -0.4042, -0.4353, -0.4151, -0.4421, -0.4634, -0.4768, -0.4501, -0.41, -0.4047, -0.4336, -0.4725, -0.4489, -0.4591, -0.4543, -0.4279, -0.4428, -0.4599, -0.4566, -0.4382, -0.4703, -0.5052, -0.5145, -0.5145, -0.5158, -0.5407, -0.5145, -0.5208, -0.4929, -0.5305, -0.535, -0.5675, -0.5834, -0.5875, -0.5851, -0.5829, -0.6049, -0.6248, -0.6381, -0.6215, -0.5914, -0.5744, -0.5553, -0.5531, -0.5419, -0.5533, -0.5497, -0.5643]}
{"unit_id": "orig:1443694082165968902", "ticker_idx": 1, "ts": "2021-09-30T21:47:46+00:00", "symbol": "FIVN", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$FIVN will need Zoom more than Zoom will need Five9", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish ZM as enterprise comms fabric; bearish FIVN as the dependent, weaker party in the relationship.", "resolved_tickers": ["FIVN"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": "Software - Infrastructure", "unit_kind": "original", "lang": "en", "tweet_text": ".@issgovernance: If, as we anticipate, $ZM is evolving into the fabric connecting global enterprise communications, then $FIVN will need Zoom more than Zoom will need Five9. Here's our blog. Happy to discuss and debate! https://t.co/5Ucz2cqSJ1", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.012457682270833326, "ret_signed_m1d": -0.012457682270833326, "alpha_spy_m1d": -8.419236175916112e-05, "alpha_c_m1d": -8.419236175916112e-05, "bench_spy_m1d": 0.012373489909074165, "bench_c_m1d": 0.012373489909074165, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.04707642891619712, "ret_signed_p1d": -0.04707642891619712, "alpha_spy_p1d": -0.03519223819723738, "alpha_c_p1d": -0.03519223819723738, "bench_spy_p1d": 0.011884190718959742, "bench_c_p1d": 0.011884190718959742, "ret_p1w": -0.07017657648914322, "ret_signed_p1w": 0.07017657648914322, "alpha_spy_p1w": 0.09236063619877422, "alpha_c_p1w": 0.09236063619877422, "bench_spy_p1w": 0.022184059709631, "bench_c_p1w": 0.022184059709631, "ret_p1m": -0.010830167314612726, "ret_signed_p1m": 0.010830167314612726, "alpha_spy_p1m": 0.08099384046577973, "alpha_c_p1m": 0.08099384046577973, "bench_spy_p1m": 0.070163673151167, "bench_c_p1m": 0.070163673151167, "ret_p3m": -0.15537752892640844, "ret_signed_p3m": 0.15537752892640844, "alpha_spy_p3m": 0.2705039244087578, "alpha_c_p3m": 0.2705039244087578, "bench_spy_p3m": 0.11512639548234938, "bench_c_p3m": 0.11512639548234938, "ret_p6m": -0.33441845474724186, "ret_signed_p6m": 0.33441845474724186, "alpha_spy_p6m": 0.3962903675969133, "alpha_c_p6m": 0.3962903675969133, "bench_spy_p6m": 0.06187191284967142, "bench_c_p6m": 0.06187191284967142, "price_path": [0.1726, 0.205, 0.1984, 0.1939, 0.1928, 0.1797, 0.1589, 0.1164, 0.1054, 0.1118, 0.1777, 0.1882, 0.1844, 0.2097, 0.1969, 0.2418, 0.2248, 0.2332, 0.2858, 0.2601, 0.2639, 0.2483, 0.3128, 0.3035, 0.2626, 0.2547, 0.2183, 0.1938, 0.208, 0.1837, 0.1499, 0.1419, 0.1209, 0.0944, 0.1222, 0.142, 0.1424, 0.1346, 0.1435, 0.1471, 0.1571, -0.0095, 0.0023, 0.0416, 0.0654, 0.0654, 0.0814, 0.0597, 0.0824, 0.0862, 0.0667, 0.0516, 0.0321, 0.0529, 0.0959, 0.0742, 0.0653, 0.0707, 0.0694, 0.0783, 0.0689, 0.0225, 0.0125, 0.0, 0.0471, -0.0188, -0.0347, -0.0705, -0.0702, -0.1055, -0.1214, -0.0863, -0.0247, -0.0242, -0.0362, -0.0103, 0.0002, -0.0057, 0.0043, 0.0106, 0.0056, 0.0089, -0.0091, -0.0078, -0.0108, 0.0006, -0.016, -0.0118, -0.0406, -0.0739, -0.0907, 0.0409, 0.0168, 0.0051, 0.0057, 0.0124, 0.0424, 0.0349, -0.0099, -0.061, -0.1274, -0.1559, -0.1345, -0.1345, -0.1111, -0.1084, -0.109, -0.1371, -0.1437, -0.1949, -0.1771, -0.1233, -0.1107, -0.1514, -0.1733, -0.1891, -0.1971, -0.1757, -0.1869, -0.1452, -0.127, -0.1223, -0.1116, -0.124, -0.124, -0.1405, -0.1554, -0.1373, -0.1258, -0.1404, -0.1301, -0.1426, -0.166, -0.1562, -0.161, -0.1407, -0.1338, -0.1666, -0.2152, -0.1964, -0.1964, -0.2169, -0.1992, -0.2179, -0.237, -0.1978, -0.2522, -0.2617, -0.2583, -0.245, -0.2131, -0.2051, -0.2192, -0.2301, -0.2176, -0.2173, -0.1817, -0.1685, -0.1619, -0.1816, -0.1489, -0.1441, -0.1847, -0.2319, -0.2795, -0.2795, -0.2841, -0.3481, -0.3296, -0.3306, -0.3114, -0.3268, -0.3172, -0.3565, -0.3901, -0.4278, -0.4252, -0.4089, -0.4278, -0.453, -0.4797, -0.4677, -0.4162, -0.395, -0.3491, -0.3517, -0.3242, -0.3272, -0.313, -0.3344]}
{"unit_id": "thread:1723750169009586218", "ticker_idx": 0, "ts": "2023-11-12T17:10:40+00:00", "symbol": "GOOG", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "LLMs like GPT4 are going to disintermediate and perhaps destroy $GOOG search, the bulk of its business", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bearish GOOG: LLMs will disintermediate/destroy Google Search, its core revenue driver, despite AI expertise.", "resolved_tickers": ["GOOG"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLC", "bench_c_reason": "industry='Internet Content & Information'", "bench_c_industry": "Internet Content & Information", "unit_kind": "self_thread", "lang": "en", "tweet_text": "Even though Large Language Models (LLMs) are in the process of disrupting it, $GOOG is one of the top holdings in most growth portfolios. Analysts and portfolio managers feel “safe” because $GOOG is one of the top weights in the benchmarks against which they are measured.\n\n---\n\nThey also believe that Alphabet has the best #AI expertise in the world which, arguably, it does, thanks to its acquisition of #DeepMind. The problem is that #LLMs like GPT4 are going to disintermediate and perhaps destroy $GOOG search, the bulk of its business.\n\n---\n\nBecause of the way they are measured, most large cap growth managers “hug” their benchmarks: their portfolios look quite similar, with $GOOG near the top. The impact of “quantitative research” - putting indexes at the center of investment the process - has gone too far.\n\n---\n\nIn our view, the shift toward indexed-based investing in the last 30 years - even more so since 2000 as investors ran away from risk after the tech and telecom bust and the Great Financial Crisis - has created the most massive misallocation of capital in history.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.0031428893423681714, "ret_signed_m1d": -0.0031428893423681714, "alpha_spy_m1d": -0.0021886755813196324, "alpha_c_m1d": -0.0009476283342007008, "bench_spy_m1d": 0.0009542137610485391, "bench_c_m1d": 0.0021952610081674706, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.013394059177076922, "ret_signed_p1d": -0.013394059177076922, "alpha_spy_p1d": 0.006006856799469773, "alpha_c_p1d": 0.002852963883736681, "bench_spy_p1d": 0.019400915976546695, "bench_c_p1d": 0.016247023060813603, "ret_p1w": 0.032026459117631134, "ret_signed_p1w": -0.032026459117631134, "alpha_spy_p1w": -6.283725664468776e-05, "alpha_c_p1w": 0.005151507688211154, "bench_spy_p1w": 0.031963621860986446, "bench_c_p1w": 0.03717796680584229, "ret_p1m": 0.0, "ret_signed_p1m": -0.0, "alpha_spy_p1m": 0.054317586600924894, "alpha_c_p1m": 0.02795676730980312, "bench_spy_p1m": 0.054317586600924894, "bench_c_p1m": 0.02795676730980312, "ret_p3m": 0.1016164434054867, "ret_signed_p3m": -0.1016164434054867, "alpha_spy_p3m": 0.03502995691769151, "alpha_c_p3m": 0.058720584667123044, "bench_spy_p3m": 0.1366464003231782, "bench_c_p3m": 0.16033702807260974, "ret_p6m": 0.2943731091523787, "ret_signed_p6m": -0.2943731091523787, "alpha_spy_p6m": -0.11113388352105691, "alpha_c_p6m": -0.09690994459089253, "bench_spy_p6m": 0.18323922563132178, "bench_c_p6m": 0.19746316456148616, "price_path": [-0.0339, -0.0238, -0.0414, -0.0352, -0.0296, -0.0032, -0.0241, -0.0221, -0.0138, 0.0138, 0.0246, 0.0278, 0.0236, 0.0236, 0.023, 0.0129, 0.0192, 0.0266, 0.0307, 0.0182, 0.0289, 0.04, 0.0349, 0.0398, 0.0388, 0.0071, -0.0171, -0.0179, -0.011, -0.0314, -0.0163, -0.0038, -0.0134, 0.0114, -0.0025, 0.0197, 0.0176, 0.0381, 0.0438, 0.0416, 0.0603, 0.0498, 0.037, 0.0513, 0.055, 0.0422, 0.04, 0.0232, 0.0319, 0.0485, -0.0522, -0.0763, -0.0766, -0.059, -0.0624, -0.0454, -0.0379, -0.0245, -0.0164, -0.0093, -0.0028, -0.0146, 0.0031, 0.0, 0.0134, 0.0205, 0.0379, 0.0247, 0.032, 0.0373, 0.0477, 0.0477, 0.0343, 0.033, 0.0373, 0.0207, 0.0021, -0.0024, -0.0225, -0.0094, -0.0165, 0.036, 0.0224, 0.0079, 0.0, 0.0025, -0.0033, 0.0015, 0.0266, 0.0334, 0.045, 0.0611, 0.0679, 0.0679, 0.0687, 0.0584, 0.0572, 0.0545, 0.0545, 0.0443, 0.0503, 0.0329, 0.0281, 0.0516, 0.0667, 0.076, 0.0751, 0.0793, 0.0793, 0.0781, 0.0692, 0.0849, 0.1072, 0.1053, 0.1125, 0.125, 0.1497, 0.1508, 0.1586, 0.1452, 0.0611, 0.0679, 0.0741, 0.0845, 0.0881, 0.0976, 0.1016, 0.1241, 0.1129, 0.0953, 0.101, 0.0771, 0.0608, 0.0608, 0.0641, 0.0763, 0.0874, 0.0872, 0.0382, 0.0483, 0.0284, 0.0459, 0.0332, 0.0042, 0.001, -0.0081, 0.012, 0.0198, 0.0397, 0.0447, 0.0534, 0.0801, 0.0638, 0.111, 0.1069, 0.12, 0.113, 0.1357, 0.131, 0.1351, 0.1369, 0.1393, 0.1393, 0.1711, 0.1663, 0.1701, 0.1369, 0.1519, 0.1684, 0.1833, 0.1797, 0.2032, 0.1912, 0.1698, 0.1673, 0.1739, 0.1782, 0.1652, 0.1819, 0.1966, 0.2055, 0.1819, 0.2997, 0.2564, 0.232, 0.2389, 0.2606, 0.2645, 0.2708, 0.2944]}
{"unit_id": "thread:1858199927576228074", "ticker_idx": 0, "ts": "2024-11-17T17:26:01+00:00", "symbol": "S&P 500", "kind": "index", "geography": "US", "sub_sector": null, "direction": "long", "conviction": "high", "explicit": false, "explicit_audit": "kept_implicit", "polarity_reversed": false, "quote": "We believe that this bull market has just begun to broaden out", "tweet_type": "prediction", "timeline": "years", "summary": "Bullish on US equities broadly; compares current cycle to the ~20-year post-Reagan bull market, arguing it has just begun to broaden.", "resolved_tickers": ["SPY"], "resolution_method": "etf", "resolution_reason": "S&P 500 index; SPY is standard ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "self_thread", "lang": "en", "tweet_text": "From my first economic course with Art Laffer: GOVERNMENT SPENDING IS TAXATION. Government spending raises taxes today, or burdens our children with higher taxes in the future, or debases the debt and the dollar with inflation, the most regressive tax of all.\n\n---\n\n.@DOGE is likely to change the mindset profoundly in Washington, as other policies focus on rapid growth to reduce the deficit relative to GDP and, in a virtuous cycle, raises the probability of even lower taxes on individuals and companies.\n\n---\n\nThe Reagan revolution extended through President Clinton’s administration, leading to lower taxes, stronger GDP growth, and a bull market rewarding active equity management that lasted nearly 20 years. We believe that this bull market has just begun to broaden out.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.004080661677759334, "ret_signed_m1d": -0.004080661677759334, "alpha_spy_m1d": 0.0, "alpha_c_m1d": 0.0, "bench_spy_m1d": -0.004080661677759334, "bench_c_m1d": -0.004080661677759334, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0036553770825054066, "ret_signed_p1d": 0.0036553770825054066, "alpha_spy_p1d": 0.0, "alpha_c_p1d": 0.0, "bench_spy_p1d": 0.0036553770825054066, "bench_c_p1d": 0.0036553770825054066, "ret_p1w": 0.01594817232202228, "ret_signed_p1w": 0.01594817232202228, "alpha_spy_p1w": 0.0, "alpha_c_p1w": 0.0, "bench_spy_p1w": 0.01594817232202228, "bench_c_p1w": 0.01594817232202228, "ret_p1m": 0.02744194801894073, "ret_signed_p1m": 0.02744194801894073, "alpha_spy_p1m": 0.0, "alpha_c_p1m": 0.0, "bench_spy_p1m": 0.02744194801894073, "bench_c_p1m": 0.02744194801894073, "ret_p3m": 0.040180309682397164, "ret_signed_p3m": 0.040180309682397164, "alpha_spy_p3m": 0.0, "alpha_c_p3m": 0.0, "bench_spy_p3m": 0.040180309682397164, "bench_c_p3m": 0.040180309682397164, "ret_p6m": 0.004142352240011693, "ret_signed_p6m": 0.004142352240011693, "alpha_spy_p6m": 0.0, "alpha_c_p6m": 0.0, "bench_spy_p6m": 0.004142352240011693, "bench_c_p6m": 0.004142352240011693, "price_path": [-0.0497, -0.0572, -0.0472, -0.0494, -0.0481, -0.0537, -0.0536, -0.0445, -0.0445, -0.0642, -0.0661, -0.0684, -0.0841, -0.0738, -0.0698, -0.0602, -0.0523, -0.0474, -0.046, -0.0456, -0.0484, -0.0322, -0.0338, -0.0314, -0.0286, -0.0308, -0.0269, -0.0284, -0.0245, -0.0332, -0.0328, -0.0346, -0.0258, -0.0346, -0.0255, -0.0187, -0.0204, -0.0146, -0.0065, -0.0142, -0.0099, -0.0099, -0.0061, -0.0077, -0.0082, -0.0173, -0.0151, -0.0155, -0.0124, -0.0108, -0.0138, -0.0332, -0.0291, -0.0312, -0.0195, 0.0049, 0.0127, 0.0171, 0.018, 0.0149, 0.0154, 0.0088, -0.0041, 0.0, 0.0037, 0.004, 0.0094, 0.0125, 0.0159, 0.0213, 0.0182, 0.0182, 0.0245, 0.0263, 0.0268, 0.0332, 0.0315, 0.0334, 0.0281, 0.0249, 0.0328, 0.0275, 0.0273, 0.0317, 0.0274, -0.0032, -0.0035, 0.0085, 0.0145, 0.0258, 0.0258, 0.0259, 0.0151, 0.0035, -0.0002, -0.0002, -0.0026, 0.0098, 0.0157, 0.0042, 0.0057, 0.0057, -0.0097, -0.0082, -0.0068, 0.0113, 0.0093, 0.0195, 0.0195, 0.0288, 0.0346, 0.0402, 0.0372, 0.0225, 0.0313, 0.0267, 0.0322, 0.0267, 0.0198, 0.0266, 0.0308, 0.0344, 0.0249, 0.0319, 0.0326, 0.0293, 0.0402, 0.0401, 0.0401, 0.0432, 0.0456, 0.0413, 0.0235, 0.0188, 0.0138, 0.0143, -0.0019, 0.0137, -0.0041, -0.0159, -0.0053, -0.023, -0.0175, -0.0437, -0.0516, -0.0466, -0.0593, -0.0399, -0.0325, -0.0429, -0.0325, -0.0353, -0.035, -0.0177, -0.0153, -0.0271, -0.0297, -0.0492, -0.0428, -0.0401, -0.034, -0.0817, -0.1354, -0.137, -0.1505, -0.0613, -0.1024, -0.0864, -0.0775, -0.0801, -0.1005, -0.0993, -0.0993, -0.1207, -0.0978, -0.0838, -0.0646, -0.0578, -0.0574, -0.0515, -0.0511, -0.0444, -0.0302, -0.0358, -0.0438, -0.0398, -0.0331, -0.0344, -0.0024, 0.0041]}
{"unit_id": "quote:875145078880260096", "ticker_idx": 0, "ts": "2017-06-15T00:17:00+00:00", "symbol": "CRM", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "a six fold increase in $CRM's client revenues in four years. Where can #ARK Invest sign up?", "tweet_type": "prediction", "timeline": "years", "summary": "Bullish on CRM citing exponential AI-driven client revenue growth; ARK Invest interested.", "resolved_tickers": ["CRM"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": "Software - Application", "unit_kind": "quote", "lang": "en", "tweet_text": "#Exponential growth...a six fold increase in $CRM's client revenues in four years.  Where can #ARK Invest sign up? https://t.co/E8W9ZVhUrg", "reply_text": null, "parent_text": null, "quoted_text": "The massive impact of AI on CRM - Trillion Dollar Boost - https://t.co/HIQPBEwe8F c @Benioff @RichardSocher @btaylor https://t.co/kA1N2r0jXO", "parent_author": null, "ret_m1d": 0.010432459027838181, "ret_signed_m1d": 0.010432459027838181, "alpha_spy_m1d": 0.008504518720358067, "alpha_c_m1d": 0.008504518720358067, "bench_spy_m1d": 0.0019279403074801138, "bench_c_m1d": 0.0019279403074801138, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.0031295851594705937, "ret_signed_p1d": -0.0031295851594705937, "alpha_spy_p1d": -0.0033478752407130052, "alpha_c_p1d": -0.0033478752407130052, "bench_spy_p1d": 0.00021829008124241156, "bench_c_p1d": 0.00021829008124241156, "ret_p1w": 0.025501416954767153, "ret_signed_p1w": 0.025501416954767153, "alpha_spy_p1w": 0.024458692013118677, "alpha_c_p1w": 0.024458692013118677, "bench_spy_p1w": 0.0010427249416484763, "bench_c_p1w": 0.0010427249416484763, "ret_p1m": 0.04323630117779409, "ret_signed_p1m": 0.04323630117779409, "alpha_spy_p1m": 0.030981161074397967, "alpha_c_p1m": 0.030981161074397967, "bench_spy_p1m": 0.012255140103396123, "bench_c_p1m": 0.012255140103396123, "ret_p3m": 0.12263817316792602, "ret_signed_p3m": 0.12263817316792602, "alpha_spy_p3m": 0.09187370888744528, "alpha_c_p3m": 0.09187370888744528, "bench_spy_p3m": 0.03076446428048074, "bench_c_p3m": 0.03076446428048074, "ret_p6m": 0.19902648688272562, "ret_signed_p6m": 0.19902648688272562, "alpha_spy_p6m": 0.09910052071451214, "alpha_c_p6m": 0.09910052071451214, "bench_spy_p6m": 0.09992596616821348, "bench_c_p6m": 0.09992596616821348, "price_path": [-0.0391, -0.0547, -0.0509, -0.0551, -0.054, -0.054, -0.0479, -0.0451, -0.043, -0.0438, -0.0459, -0.0383, -0.0108, -0.0147, -0.0219, -0.0235, -0.0279, -0.0336, -0.0364, -0.0364, -0.024, -0.0297, -0.0321, -0.0257, -0.0287, -0.0243, -0.0176, -0.0153, -0.0049, -0.0017, 0.0045, 0.0095, 0.0032, 0.0029, 0.0081, 0.0068, 0.01, 0.0121, 0.0167, 0.0321, 0.0409, 0.0403, 0.0182, 0.0172, 0.0131, 0.0309, 0.0257, 0.0386, 0.058, 0.0529, 0.0529, 0.0532, 0.0391, 0.0438, 0.0532, 0.0592, 0.056, 0.0593, 0.0577, 0.0116, -0.001, 0.0116, 0.0104, 0.0, -0.0031, 0.0147, 0.0075, 0.015, 0.0255, 0.0272, 0.0213, 0.0163, 0.0211, 0.0061, 0.0038, -0.002, -0.002, 0.0143, 0.0067, 0.0191, 0.0258, 0.0241, 0.0479, 0.0383, 0.0432, 0.035, 0.0348, 0.0381, 0.0495, 0.0396, 0.0394, 0.0505, 0.0556, 0.0491, 0.0504, 0.0525, 0.0574, 0.042, 0.0473, 0.0485, 0.049, 0.0463, 0.0446, 0.0158, 0.0234, 0.0461, 0.0514, 0.0692, 0.0534, 0.052, 0.0636, 0.0774, 0.0788, 0.0913, 0.0908, 0.0857, 0.0876, 0.0996, 0.1069, 0.1129, 0.1129, 0.1149, 0.1107, 0.1212, 0.1178, 0.1326, 0.1226, 0.1083, 0.1047, 0.0969, 0.1098, 0.1053, 0.1036, 0.0996, 0.1005, 0.0719, 0.0704, 0.0804, 0.0734, 0.0829, 0.0889, 0.1054, 0.1072, 0.1097, 0.1165, 0.1159, 0.1057, 0.1129, 0.1214, 0.1237, 0.1261, 0.1211, 0.1179, 0.1266, 0.1464, 0.1411, 0.1436, 0.1544, 0.1597, 0.1673, 0.1673, 0.1863, 0.1818, 0.1893, 0.1906, 0.1872, 0.1907, 0.2175, 0.2009, 0.2199, 0.2262, 0.2314, 0.2221, 0.2406, 0.247, 0.2446, 0.2612, 0.2383, 0.2383, 0.242, 0.2354, 0.234, 0.2001, 0.2092, 0.2035, 0.1574, 0.1671, 0.193, 0.2063, 0.199]}
{"unit_id": "thread:2043355093659951428", "ticker_idx": 0, "ts": "2026-04-12T15:46:32+00:00", "symbol": "CRSP", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "the market caps of two of the most important patent holders, $CRSP and $NTLA, are only ~$5B and ~$1.5B, respectively", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Long CRSP and NTLA as undervalued CRISPR patent holders; market caps too low vs. trillion-dollar addressable markets in cures and prevention.", "resolved_tickers": ["CRSP"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLV", "bench_c_reason": "industry='Biotechnology'", "bench_c_industry": "Biotechnology", "unit_kind": "self_thread", "lang": "en", "tweet_text": ".@demishassabis understands that most of the healthcare budget today is really “sickcare”, that AI and CRISPR will cure the sick, and that trillions of chronic sickcare dollars will shift toward cures and prevention.\n\n---\n\nUnfortunately, most equity investors are not willing to underwrite @demishassabis’s vision of turning “sickcare” into healthcare: prevention and cures. Indeed, the market caps of two of the most important patent holders, $CRSP and $NTLA, are only ~$5B and ~$1.5B, respectively.\n\n---\n\nIndeed, Crispr Therapeutics already is generating revenue from cures for sickle cell disease (SCD) and beta thalassemia. The markets it is targeting—including cardiovascular disease—could be worth trillions of dollars.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.0658398776180038, "ret_signed_m1d": -0.0658398776180038, "alpha_spy_m1d": -0.056162055362419805, "alpha_c_m1d": -0.06137948931858794, "bench_spy_m1d": -0.009677822255584001, "bench_c_m1d": -0.004460388299415863, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.03702350376627428, "ret_signed_p1d": 0.03702350376627428, "alpha_spy_p1d": 0.02483862301390416, "alpha_c_p1d": 0.031211510772715778, "bench_spy_p1d": 0.01218488075237012, "bench_c_p1d": 0.005811992993558501, "ret_p1w": 0.05216116542302296, "ret_signed_p1w": 0.05216116542302296, "alpha_spy_p1w": 0.019192216403793205, "alpha_c_p1w": 0.05587815567253618, "bench_spy_p1w": 0.032968949019229754, "bench_c_p1w": -0.003716990249513219, "ret_p1m": -0.0364763803248177, "ret_signed_p1m": -0.0364763803248177, "alpha_spy_p1m": -0.11238371007711334, "alpha_c_p1m": -0.022149184949415646, "bench_spy_p1m": 0.07590732975229564, "bench_c_p1m": -0.014327195375402058, "ret_p3m": null, "ret_signed_p3m": null, "alpha_spy_p3m": null, "alpha_c_p3m": null, "bench_spy_p3m": null, "bench_c_p3m": null, "ret_p6m": null, "ret_signed_p6m": null, "alpha_spy_p6m": null, "alpha_c_p6m": null, "bench_spy_p6m": null, "bench_c_p6m": null, "price_path": [0.0376, -0.0113, -0.0241, -0.0241, -0.0405, -0.0018, 0.1091, 0.0126, -0.0033, -0.0104, -0.0208, -0.027, -0.0888, -0.0642, -0.0516, -0.085, -0.1632, -0.1111, -0.0936, -0.1094, -0.1187, -0.1076, -0.0321, -0.0321, -0.0303, -0.0239, -0.0035, -0.025, -0.0155, 0.0354, 0.0067, 0.126, 0.0968, 0.1083, 0.0589, 0.0943, 0.0456, 0.0305, 0.072, -0.037, -0.0894, -0.1087, -0.1109, -0.1169, -0.0864, -0.1302, -0.1437, -0.1567, -0.145, -0.1532, -0.1412, -0.1328, -0.1656, -0.1913, -0.1324, -0.1098, -0.097, -0.097, -0.1036, -0.0936, -0.056, -0.0567, -0.0658, 0.0, 0.037, 0.0352, 0.0162, 0.0576, 0.0522, 0.0129, 0.029, 0.0064, -0.1102, -0.07, -0.0505, -0.0751, -0.0454, -0.0584, -0.0228, -0.0447, 0.0046, -0.044, 0.0, -0.015, -0.0365, -0.0379, -0.0799, -0.1171, -0.1144, -0.132, -0.1145, -0.0899, -0.0815, -0.0815, -0.0591, -0.0237, 0.0283, 0.0246, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null]}
{"unit_id": "thread:2043355093659951428", "ticker_idx": 1, "ts": "2026-04-12T15:46:32+00:00", "symbol": "NTLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "the market caps of two of the most important patent holders, $CRSP and $NTLA, are only ~$5B and ~$1.5B, respectively", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Long CRSP and NTLA as undervalued CRISPR patent holders; market caps too low vs. trillion-dollar addressable markets in cures and prevention.", "resolved_tickers": ["NTLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLV", "bench_c_reason": "industry='Biotechnology'", "bench_c_industry": "Biotechnology", "unit_kind": "self_thread", "lang": "en", "tweet_text": ".@demishassabis understands that most of the healthcare budget today is really “sickcare”, that AI and CRISPR will cure the sick, and that trillions of chronic sickcare dollars will shift toward cures and prevention.\n\n---\n\nUnfortunately, most equity investors are not willing to underwrite @demishassabis’s vision of turning “sickcare” into healthcare: prevention and cures. Indeed, the market caps of two of the most important patent holders, $CRSP and $NTLA, are only ~$5B and ~$1.5B, respectively.\n\n---\n\nIndeed, Crispr Therapeutics already is generating revenue from cures for sickle cell disease (SCD) and beta thalassemia. The markets it is targeting—including cardiovascular disease—could be worth trillions of dollars.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.05399722618546199, "ret_signed_m1d": -0.05399722618546199, "alpha_spy_m1d": -0.04431940392987799, "alpha_c_m1d": -0.049536837886046126, "bench_spy_m1d": -0.009677822255584001, "bench_c_m1d": -0.004460388299415863, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.036465602787029594, "ret_signed_p1d": 0.036465602787029594, "alpha_spy_p1d": 0.024280722034659474, "alpha_c_p1d": 0.030653609793471093, "bench_spy_p1d": 0.01218488075237012, "bench_c_p1d": 0.005811992993558501, "ret_p1w": 0.06661990140372032, "ret_signed_p1w": 0.06661990140372032, "alpha_spy_p1w": 0.03365095238449056, "alpha_c_p1w": 0.07033689165323354, "bench_spy_p1w": 0.032968949019229754, "bench_c_p1w": -0.003716990249513219, "ret_p1m": -0.01893411314375859, "ret_signed_p1m": -0.01893411314375859, "alpha_spy_p1m": -0.09484144289605423, "alpha_c_p1m": -0.004606917768356533, "bench_spy_p1m": 0.07590732975229564, "bench_c_p1m": -0.014327195375402058, "ret_p3m": null, "ret_signed_p3m": null, "alpha_spy_p3m": null, "alpha_c_p3m": null, "bench_spy_p3m": null, "bench_c_p3m": null, "ret_p6m": null, "ret_signed_p6m": null, "alpha_spy_p6m": null, "alpha_c_p6m": null, "bench_spy_p6m": null, "bench_c_p6m": null, "price_path": [-0.1571, -0.1676, -0.1234, -0.1234, -0.1003, -0.0161, 0.115, 0.0259, -0.0217, 0.04, -0.0309, -0.0252, -0.0778, -0.0842, -0.0849, -0.1332, -0.2223, -0.1388, -0.1241, -0.1648, -0.1585, -0.1851, -0.1676, -0.1676, -0.1431, -0.1248, -0.0856, -0.1136, -0.0771, -0.0477, -0.0589, 0.0014, -0.0337, 0.0827, -0.0459, -0.0309, -0.0778, -0.0575, -0.0259, -0.0554, -0.0877, -0.0989, -0.1052, -0.0617, -0.0547, -0.0736, -0.0778, -0.0996, -0.0806, -0.1017, -0.0701, -0.0715, -0.1325, -0.183, -0.101, -0.0694, -0.0792, -0.0792, -0.0673, -0.0498, -0.0273, -0.0302, -0.054, 0.0, 0.0365, 0.0477, -0.007, 0.0484, 0.0666, 0.0736, 0.162, 0.1129, -0.0442, -0.0856, -0.0743, -0.1273, -0.0547, -0.0701, -0.0273, -0.0666, -0.0288, -0.0386, -0.0119, 0.0112, -0.0189, 0.0014, -0.082, -0.0414, -0.1101, -0.1627, -0.1403, -0.1325, -0.1164, -0.1164, -0.1157, -0.0575, -0.0407, -0.0133, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null]}
{"unit_id": "quote:921535682035757057", "ticker_idx": 0, "ts": "2017-10-21T00:36:42+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "hoard #bitcoin", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Implies Bitcoin is a store of value / inflation hedge as hyperinflation drives demand in Zimbabwe and potentially Catalonia.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Debtors are thrilled with hyperinflation as they pay banks back in Zimbabwe dollars and hoard #bitcoin.  Lenders lose as borrowers pay them back in worthless currency.  Seeds of another banking crisis...?  Will #Catalonia resort to the same strategy? https://t.co/sa3BxPGIoc", "reply_text": null, "parent_text": null, "quoted_text": "Bitcoin Price Nears $10,000 in Zimbabwe Due to a Lack of Cash in the Country https://t.co/FoJErPRWeW", "parent_author": null, "ret_m1d": 0.013680606358264624, "ret_signed_m1d": 0.013680606358264624, "alpha_spy_m1d": 0.009776047708308866, "alpha_c_m1d": null, "bench_spy_m1d": 0.0039045586499557583, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.06807047502757235, "ret_signed_p1d": -0.06807047502757235, "alpha_spy_p1d": -0.06982772712834173, "alpha_c_p1d": null, "bench_spy_p1d": 0.0017572521007693798, "bench_c_p1d": null, "ret_p1w": 0.03376039857409796, "ret_signed_p1w": 0.03376039857409796, "alpha_spy_p1w": 0.031261410279949775, "alpha_c_p1w": null, "bench_spy_p1w": 0.0024989882941481856, "bench_c_p1w": null, "ret_p1m": 0.3610159325071973, "ret_signed_p1m": 0.3610159325071973, "alpha_spy_p1m": 0.3458661306436992, "alpha_c_p1m": null, "bench_spy_p1m": 0.015149801863498125, "bench_c_p1m": null, "ret_p3m": 0.9349547293828597, "ret_signed_p3m": 0.9349547293828597, "alpha_spy_p3m": 0.8394612632201002, "alpha_c_p3m": null, "bench_spy_p3m": 0.09549346616275955, "bench_c_p3m": null, "ret_p6m": 0.3324896595759921, "ret_signed_p6m": 0.3324896595759921, "alpha_spy_p6m": 0.2678739050502583, "alpha_c_p6m": null, "bench_spy_p6m": 0.06461575452573376, "bench_c_p6m": null, "price_path": [-0.5735, -0.5495, -0.5263, -0.5151, -0.5416, -0.5429, -0.5271, -0.5117, -0.4302, -0.4233, -0.4364, -0.4298, -0.3844, -0.2707, -0.2948, -0.262, -0.2696, -0.2984, -0.3252, -0.3085, -0.3, -0.2691, -0.2628, -0.261, -0.2279, -0.2302, -0.2069, -0.1751, -0.2857, -0.262, -0.2248, -0.2243, -0.2869, -0.2983, -0.3034, -0.3453, -0.468, -0.3866, -0.3145, -0.3382, -0.3414, -0.3877, -0.3878, -0.338, -0.3437, -0.2917, -0.296, -0.298, -0.2565, -0.272, -0.2868, -0.2701, -0.263, -0.1953, -0.1936, -0.1861, -0.0815, -0.0477, -0.0345, -0.0548, -0.0573, -0.0374, 0.0137, 0.0, -0.0681, -0.0303, -0.0043, -0.0252, 0.0338, 0.0907, 0.1411, 0.1936, 0.2154, 0.1842, 0.2047, 0.2579, 0.2046, 0.116, 0.1061, 0.119, 0.2336, 0.3274, 0.2999, 0.3828, 0.361, 0.3918, 0.3555, 0.3918, 0.6556, 0.6962, 0.6675, 0.7256, 0.8508, 0.9657, 1.0095, 1.4099, 2.0183, 1.794, 1.856, 1.9367, 1.7668, 1.7931, 1.9858, 2.2231, 1.9976, 1.8033, 1.6648, 1.3324, 1.3652, 1.7148, 1.6708, 1.463, 1.4714, 1.3029, 1.5264, 1.5633, 1.6304, 1.939, 1.5581, 1.4611, 1.5249, 1.2606, 1.3575, 1.3304, 0.9376, 0.8867, 0.935, 0.9573, 0.8433, 0.8327, 0.9155, 0.8986, 0.8838, 0.9049, 0.7042, 0.7235, 0.5464, 0.4891, 0.1728, 0.3075, 0.2851, 0.3938, 0.4733, 0.5052, 0.4499, 0.601, 0.7143, 0.7257, 0.8929, 0.9229, 0.8027, 0.6871, 0.737, 0.7481, 0.8086, 0.7533, 0.8466, 0.8694, 0.9515, 0.8178, 0.6804, 0.5842, 0.5745, 0.5522, 0.5505, 0.3945, 0.3997, 0.4061, 0.4553, 0.503, 0.5057, 0.4718, 0.4973, 0.3843, 0.3208, 0.3413, 0.2083, 0.1619, 0.1945, 0.2573, 0.1557, 0.1486, 0.119, 0.1417, 0.1525, 0.175, 0.3303, 0.3315, 0.3589, 0.3325]}
{"unit_id": "thread:1132718602317176839", "ticker_idx": 0, "ts": "2019-05-26T18:42:14+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "our first principles research is the reason for my conviction that $TSLA is as profound an investment opportunity today as was $AMZN 10-15 years ago", "tweet_type": "prediction", "timeline": "years", "summary": "High-conviction long TSLA based on Wright's Law research; compares opportunity to AMZN 10-15 years ago with potential multi-year climb ahead.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "self_thread", "lang": "en", "tweet_text": "Thank you, Eric, for pointing out how many stocks are doing so well for us!  Interestingly, no one said anything on Twitter last year when $TSLA was up roughly 50% from its low and 25% in the fourth quarter. #Tesla was a great diversifier when other stocks were getting crushed.\n\n---\n\n$TSLA during the past five years reminds me of $AMZN from 2004-2009. Investors/speculators laughed at worst or were baffled as we bought the stock when it tanked into the 20’s and 30’s in a 25-120 trading range. Trading recently at $2,000, #Amazon is one of my best stocks ever.\n\n---\n\nNow that its success is obvious in hindsight, most sell-side analysts remember that I bucked conventional wisdom and applauded the fact that Amazon was investing aggressively to capitalize on the inevitable shift to e-commerce and #AWS, at the expense of short-term profits.\n\n---\n\nCentered on Wright’s Law, our first principles research is the reason for my conviction that $TSLA is as profound an investment opportunity today as was $AMZN 10-15 years ago.\n\n---\n\nLed by our DoR, @wintonARK, our analysts - @TashaARK, @skorusARK, and @jwangARK - are contributing important research to the investment community. Our $TSLA model and assumptions are on GitHub. We are grateful for the contributions others are making to make it more robust.\n\n---\n\nAs the record shows,$TSLA has contributed positively to the performance of our strategies since inception. Importantly, we have traded it aggressively in the 141-387 trading range in place since our inception in 2004, while maintaining it as our first or second largest position.\n\n---\n\nInterestingly, on Friday $TSLA hit its 100 month moving average, roughly the same place that $AMZN hit before beginning its eight year climb from 35 to 2000. Perhaps the HFTs and algorithms that dominate trading these days will take note. We shall see.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.0, "ret_signed_m1d": 0.0, "alpha_spy_m1d": 0.0, "alpha_c_m1d": 0.0, "bench_spy_m1d": 0.0, "bench_c_m1d": 0.0, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.010124341109633561, "ret_signed_p1d": -0.010124341109633561, "alpha_spy_p1d": -0.0008240398669437932, "alpha_c_p1d": -0.0035122988090748875, "bench_spy_p1d": -0.009300301242689768, "bench_c_p1d": -0.006612042300558674, "ret_p1w": -0.06116567736027079, "ret_signed_p1w": -0.06116567736027079, "alpha_spy_p1w": -0.03213296463603621, "alpha_c_p1w": -0.031015062603235277, "bench_spy_p1w": -0.029032712724234577, "bench_c_p1w": -0.03015061475703551, "ret_p1m": 0.15280913564254783, "ret_signed_p1m": 0.15280913564254783, "alpha_spy_p1m": 0.11958810068333703, "alpha_c_p1m": 0.11123348569715796, "bench_spy_p1m": 0.033221034959210805, "bench_c_p1m": 0.04157564994538987, "ret_p3m": 0.16534650337389234, "ret_signed_p3m": 0.16534650337389234, "alpha_spy_p3m": 0.12644012736879406, "alpha_c_p3m": 0.10669704818421932, "bench_spy_p3m": 0.038906376005098275, "bench_c_p3m": 0.058649455189673017, "ret_p6m": 0.8859571020657881, "ret_signed_p6m": 0.8859571020657881, "alpha_spy_p6m": 0.7723895484629966, "alpha_c_p6m": 0.8168728306152253, "bench_spy_p6m": 0.11356755360279158, "bench_c_p6m": 0.06908427145056284, "price_path": [0.6511, 0.678, 0.5464, 0.4969, 0.4507, 0.4491, 0.4509, 0.4905, 0.5261, 0.4864, 0.5158, 0.5211, 0.4448, 0.4137, 0.4031, 0.4352, 0.4374, 0.3877, 0.3661, 0.4047, 0.4417, 0.4616, 0.4681, 0.517, 0.4997, 0.5308, 0.4047, 0.4424, 0.4331, 0.4285, 0.4481, 0.4081, 0.4043, 0.3974, 0.434, 0.4228, 0.4335, 0.4335, 0.3783, 0.3844, 0.3569, 0.299, 0.2335, 0.2667, 0.2521, 0.2276, 0.2805, 0.3378, 0.3395, 0.296, 0.2844, 0.2694, 0.2565, 0.1908, 0.2186, 0.2168, 0.1978, 0.107, 0.0773, 0.0758, 0.011, 0.0255, 0.0, 0.0, -0.0101, -0.004, -0.0126, -0.0287, -0.0612, 0.0156, 0.0313, 0.0804, 0.0728, 0.1167, 0.1389, 0.0977, 0.1221, 0.1274, 0.1805, 0.1789, 0.1878, 0.1521, 0.1638, 0.1732, 0.1528, 0.1502, 0.169, 0.1722, 0.1917, 0.1779, 0.2322, 0.2322, 0.2228, 0.2083, 0.2068, 0.2533, 0.2516, 0.2856, 0.3298, 0.3239, 0.3369, 0.33, 0.3544, 0.3412, 0.3648, 0.3895, 0.2003, 0.1962, 0.2368, 0.2708, 0.2674, 0.2267, 0.2293, 0.1977, 0.2105, 0.2245, 0.2501, 0.2328, 0.2013, 0.2328, 0.1521, 0.1312, 0.1538, 0.1899, 0.1848, 0.1584, 0.1653, 0.109, 0.1278, 0.123, 0.1309, 0.163, 0.1835, 0.1835, 0.1803, 0.1576, 0.2043, 0.1931, 0.2159, 0.2356, 0.2962, 0.2898, 0.2863, 0.2737, 0.2841, 0.2773, 0.2936, 0.2622, 0.2654, 0.1709, 0.1997, 0.2724, 0.2702, 0.2635, 0.2836, 0.2754, 0.2224, 0.214, 0.247, 0.2592, 0.2827, 0.2838, 0.3004, 0.348, 0.3528, 0.3626, 0.3742, 0.3479, 0.3298, 0.3407, 0.336, 0.5721, 0.7213, 0.7191, 0.6588, 0.6525, 0.652, 0.6436, 0.6654, 0.6641, 0.7132, 0.7602, 0.7686, 0.8103, 0.8357, 0.8156, 0.8326, 0.8474, 0.836, 0.886]}
{"unit_id": "quote:882582723726106624", "ticker_idx": 0, "ts": "2017-07-05T12:51:33+00:00", "symbol": "oil", "kind": "commodity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "The #oil age is over. It peaked nearly 10 years ago in 2008. #EVs will put the nail in the coffin. I wouldn't be surprised to see $10.", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bearish oil: age is over, peaked in 2008, EVs to drive price to $10.", "resolved_tickers": ["USO"], "resolution_method": "etf", "resolution_reason": "Oil commodity; USO is standard ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "The #oil age is over.  It peaked nearly 10 years ago in 2008.  #EVs will put the nail in the coffin.  I wouldn't be surprised to see $10. https://t.co/1UHi1sAWEU", "reply_text": null, "parent_text": null, "quoted_text": "“The Stone Age didn’t end for lack of stone, and the oil age will end long before the world runs out of oil.” https://t.co/Bma9dSIC8k https://t.co/kkYpInGcYa", "parent_author": null, "ret_m1d": 0.039999987628008826, "ret_signed_m1d": -0.039999987628008826, "alpha_spy_m1d": -0.042306895700369385, "alpha_c_m1d": -0.042306895700369385, "bench_spy_m1d": -0.0023069080723605584, "bench_c_m1d": -0.0023069080723605584, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.006486531850453892, "ret_signed_p1d": -0.006486531850453892, "alpha_spy_p1d": -0.015631068708110707, "alpha_c_p1d": -0.015631068708110707, "bench_spy_p1d": -0.009144536857656815, "bench_c_p1d": -0.009144536857656815, "ret_p1w": 0.008648640400654495, "ret_signed_p1w": -0.008648640400654495, "alpha_spy_p1w": -0.003540940209549426, "alpha_c_p1w": -0.003540940209549426, "bench_spy_p1w": 0.005107700191105069, "bench_c_p1w": 0.005107700191105069, "ret_p1m": 0.08324329273120767, "ret_signed_p1m": -0.08324329273120767, "alpha_spy_p1m": -0.06598440040196918, "alpha_c_p1m": -0.06598440040196918, "bench_spy_p1m": 0.017258892329238495, "bench_c_p1m": 0.017258892329238495, "ret_p3m": 0.10378378790778076, "ret_signed_p3m": -0.10378378790778076, "alpha_spy_p3m": -0.05928820386735478, "alpha_c_p3m": -0.05928820386735478, "bench_spy_p3m": 0.04449558404042597, "bench_c_p3m": 0.04449558404042597, "ret_p6m": 0.2940540829220333, "ret_signed_p6m": -0.2940540829220333, "alpha_spy_p6m": -0.17952030239293748, "alpha_c_p6m": -0.17952030239293748, "bench_spy_p6m": 0.1145337805290958, "bench_c_p6m": 0.1145337805290958, "price_path": [0.1849, 0.2043, 0.2076, 0.2011, 0.2032, 0.2032, 0.1957, 0.1935, 0.1481, 0.1395, 0.1157, 0.1081, 0.12, 0.1092, 0.107, 0.107, 0.0973, 0.0724, 0.0735, 0.0227, 0.0443, 0.0454, 0.0346, 0.0659, 0.0746, 0.0757, 0.0995, 0.093, 0.1016, 0.1092, 0.133, 0.1395, 0.1503, 0.1459, 0.0854, 0.1114, 0.1114, 0.107, 0.0768, 0.0714, 0.0659, 0.0595, 0.0778, 0.0227, 0.0195, 0.0259, 0.0292, 0.0378, -0.0022, -0.0076, -0.0011, -0.0141, -0.0324, -0.0584, -0.0508, -0.0422, -0.0346, -0.0162, -0.0054, -0.0043, 0.027, 0.04, 0.04, 0.0, 0.0065, -0.0162, -0.013, 0.0022, 0.0086, 0.0238, 0.0368, 0.0216, 0.0314, 0.0476, 0.0389, 0.0097, 0.027, 0.0605, 0.0768, 0.0876, 0.0995, 0.1114, 0.0908, 0.0962, 0.0832, 0.0951, 0.0919, 0.0876, 0.0973, 0.0714, 0.08, 0.0508, 0.0541, 0.0346, 0.04, 0.0778, 0.0497, 0.0562, 0.0681, 0.0497, 0.0541, 0.0303, 0.0227, 0.0141, 0.0411, 0.0454, 0.0454, 0.0724, 0.0854, 0.0843, 0.0519, 0.0616, 0.067, 0.0886, 0.0951, 0.1027, 0.0995, 0.093, 0.107, 0.1081, 0.107, 0.1405, 0.1341, 0.1373, 0.1276, 0.1276, 0.1038, 0.1005, 0.0897, 0.1081, 0.0778, 0.0811, 0.1114, 0.12, 0.1059, 0.1211, 0.1308, 0.1341, 0.133, 0.1189, 0.1276, 0.1265, 0.1395, 0.133, 0.1427, 0.1719, 0.1751, 0.1816, 0.1784, 0.1881, 0.2086, 0.2443, 0.2422, 0.2335, 0.2389, 0.2346, 0.2303, 0.2032, 0.1989, 0.1968, 0.227, 0.2195, 0.2324, 0.2541, 0.2541, 0.2746, 0.253, 0.2519, 0.24, 0.24, 0.2616, 0.2422, 0.2476, 0.2108, 0.2249, 0.2422, 0.2541, 0.2368, 0.2249, 0.2357, 0.2389, 0.2368, 0.2443, 0.2551, 0.2584, 0.2605, 0.2605, 0.2919, 0.2886, 0.2941]}
{"unit_id": "quote:928316663145123840", "ticker_idx": 0, "ts": "2017-11-08T17:41:54+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": false, "explicit_audit": "flipped_to_implicit", "polarity_reversed": false, "quote": "#BTC up and away!", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish BTC following news of no more 2x leveraged ETF; expects price to rise.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "#BTC up and away! https://t.co/hl8YOVnr2V", "reply_text": null, "parent_text": null, "quoted_text": "No more 2X https://t.co/uyQbO5Lt0I story coming shortly", "parent_author": null, "ret_m1d": -0.04226852068523235, "ret_signed_m1d": -0.04226852068523235, "alpha_spy_m1d": -0.04057068568544686, "alpha_c_m1d": null, "bench_spy_m1d": -0.0016978349997854858, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.0423757375660655, "ret_signed_p1d": -0.0423757375660655, "alpha_spy_p1d": -0.038748260332198914, "alpha_c_p1d": null, "bench_spy_p1d": -0.003627477233866583, "bench_c_p1d": null, "ret_p1w": -0.01932384636305351, "ret_signed_p1w": -0.01932384636305351, "alpha_spy_p1w": -0.009019554143101516, "alpha_c_p1w": null, "bench_spy_p1w": -0.010304292219951994, "bench_c_p1w": null, "ret_p1m": 1.3995232187057458, "ret_signed_p1m": 1.3995232187057458, "alpha_spy_p1m": 1.3803805947823515, "alpha_c_p1m": null, "bench_spy_p1m": 0.019142623923394275, "bench_c_p1m": null, "ret_p3m": -0.06761942196486392, "ret_signed_p3m": -0.06761942196486392, "alpha_spy_p3m": -0.0914283181172405, "alpha_c_p3m": null, "bench_spy_p3m": 0.02380889615237658, "bench_c_p3m": null, "ret_p6m": 0.30620178963170863, "ret_signed_p6m": 0.30620178963170863, "alpha_spy_p6m": 0.28339436529051, "alpha_c_p6m": null, "bench_spy_p6m": 0.022807424341198645, "bench_c_p6m": null, "price_path": [-0.5106, -0.4202, -0.4394, -0.4133, -0.4193, -0.4423, -0.4636, -0.4503, -0.4435, -0.4189, -0.414, -0.4125, -0.3862, -0.388, -0.3695, -0.3442, -0.4321, -0.4133, -0.3837, -0.3834, -0.4331, -0.4422, -0.4462, -0.4795, -0.5771, -0.5124, -0.455, -0.4738, -0.4764, -0.5132, -0.5133, -0.4737, -0.4782, -0.4369, -0.4404, -0.4419, -0.4089, -0.4212, -0.433, -0.4198, -0.4141, -0.3603, -0.359, -0.353, -0.2698, -0.243, -0.2325, -0.2486, -0.2505, -0.2348, -0.1941, -0.205, -0.2591, -0.2291, -0.2084, -0.225, -0.1782, -0.1329, -0.0928, -0.0511, -0.0338, -0.0586, -0.0423, 0.0, -0.0424, -0.1128, -0.1207, -0.1105, -0.0193, 0.0552, 0.0334, 0.0993, 0.082, 0.1064, 0.0776, 0.1064, 0.3162, 0.3484, 0.3256, 0.3719, 0.4713, 0.5627, 0.5975, 0.9158, 1.3995, 1.2212, 1.2704, 1.3346, 1.1996, 1.2205, 1.3737, 1.5623, 1.383, 1.2286, 1.1184, 0.8542, 0.8803, 1.1582, 1.1232, 0.9581, 0.9647, 0.8308, 1.0084, 1.0378, 1.0911, 1.3365, 1.0336, 0.9566, 1.0072, 0.7971, 0.8742, 0.8526, 0.5403, 0.4999, 0.5383, 0.556, 0.4654, 0.457, 0.5228, 0.5094, 0.4976, 0.5143, 0.3548, 0.3702, 0.2293, 0.1838, -0.0676, 0.0395, 0.0217, 0.108, 0.1712, 0.1966, 0.1526, 0.2728, 0.3628, 0.3719, 0.5048, 0.5287, 0.4331, 0.3412, 0.3809, 0.3897, 0.4378, 0.3939, 0.468, 0.4862, 0.5514, 0.4451, 0.3359, 0.2594, 0.2517, 0.234, 0.2326, 0.1086, 0.1128, 0.1178, 0.157, 0.1949, 0.197, 0.1701, 0.1903, 0.1005, 0.05, 0.0663, -0.0394, -0.0763, -0.0504, -0.0005, -0.0812, -0.0869, -0.1104, -0.0924, -0.0838, -0.0659, 0.0576, 0.0585, 0.0803, 0.0593, 0.0943, 0.1119, 0.1858, 0.1972, 0.3, 0.1858, 0.2442, 0.2047, 0.2387, 0.2224, 0.2381, 0.3062]}
{"unit_id": "thread:1427593337993941009", "ticker_idx": 0, "ts": "2021-08-17T11:29:09+00:00", "symbol": "ARK Innovation", "kind": "etf", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "The equity market is likely to reward disruptive innovation strategies once again when headline inflation breaks and/or fears of recession increase", "tweet_type": "analysis", "timeline": "months", "summary": "Bullish on ARK-style disruptive innovation strategies; expects another leg up within 3-6 months as inflation fears peak and commodity deflation accelerates.", "resolved_tickers": ["ARKK"], "resolution_method": "etf", "resolution_reason": "ARK Innovation = ARKK", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "self_thread", "lang": "en", "tweet_text": "Most bears seem to believe that inflation will continue to accelerate, shortening investment time horizons and destroying valuations. Despite what we believe has been a supply-chain related/short term burst in inflation, both equities and bonds have appreciated since March➡️\n\n---\n\nUnlike the tech and telecom bubble, this equity bull market has broadened beyond the innovation strategies that boomed last year to value and other stocks that had trailed. The bull market has strengthened, setting the stage we believe for another leg up in innovation strategies.\n\n---\n\nThe equity market is likely to reward disruptive innovation strategies once again when headline inflation breaks and/or fears of recession increase. If the bond market is correct, one or both will be obvious during the next 3-6 months.\n\n---\n\nSince mid May a number of commodity prices have been breaking down: lumber -65-70%, copper -10-15%, oil -10%. An unexpected increase in the dollar also is negative for commodity prices. Now the Mannheim used car index - a leading index for new car sales - is slipping.\n\n---\n\nThe deflation in commodity prices is cyclical but is adding to the secular forces caused by technologically enabled disruptive innovation (“good deflation”) and creative destruction (“bad deflation”).\n\n---\n\nIf we are correct, GDP and revenue growth will diminish until the opportunities in nascent technologies begin to move macro needles. In this environment, innovation based strategies should distinguish themselves.\n\n---\n\nIn our view, the seeds for the innovation explosion that @ARKInvest is dedicated to researching were planted during the 20 years ending with the tech and telecom bust. Having gestated for more than 20 years, these technologies should transform the world during the next 10 years.\n\n---\n\nTo his credit, Michael Burry made a great call based on fundamentals and recognized the calamity brewing in the housing/mortgage market. I do not believe that he understands the fundamentals that are creating explosive growth and investment opportunities in the innovation space.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.009405556110331892, "ret_signed_m1d": 0.009405556110331892, "alpha_spy_m1d": 0.002807147227255946, "alpha_c_m1d": 0.002807147227255946, "bench_spy_m1d": 0.006598408883075946, "bench_c_m1d": 0.006598408883075946, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.000431498493135285, "ret_signed_p1d": -0.000431498493135285, "alpha_spy_p1d": 0.010513701355832739, "alpha_c_p1d": 0.010513701355832739, "bench_spy_p1d": -0.010945199848968024, "bench_c_p1d": -0.010945199848968024, "ret_p1w": 0.04461133544600493, "ret_signed_p1w": 0.04461133544600493, "alpha_spy_p1w": 0.035760795230799, "alpha_c_p1w": 0.035760795230799, "bench_spy_p1w": 0.008850540215205926, "bench_c_p1w": 0.008850540215205926, "ret_p1m": 0.01665375361523047, "ret_signed_p1m": 0.01665375361523047, "alpha_spy_p1m": 0.00800593895861268, "alpha_c_p1m": 0.00800593895861268, "bench_spy_p1m": 0.008647814656617792, "bench_c_p1m": 0.008647814656617792, "ret_p3m": 0.022435110577930795, "ret_signed_p3m": 0.022435110577930795, "alpha_spy_p3m": -0.03325104796049705, "alpha_c_p3m": -0.03325104796049705, "bench_spy_p3m": 0.05568615853842784, "bench_c_p3m": 0.05568615853842784, "ret_p6m": -0.33783480789314957, "ret_signed_p6m": -0.33783480789314957, "alpha_spy_p6m": -0.3751700493698015, "alpha_c_p6m": -0.3751700493698015, "bench_spy_p6m": 0.037335241476651904, "bench_c_p6m": 0.037335241476651904, "price_path": [-0.0802, -0.0867, -0.0618, -0.0562, -0.0385, -0.0312, -0.0327, -0.0327, -0.04, -0.0396, -0.073, -0.0551, -0.0276, -0.0238, -0.0262, -0.0079, 0.002, 0.0211, -0.0069, -0.0117, 0.0225, 0.026, 0.0312, 0.0443, 0.0659, 0.081, 0.0828, 0.1237, 0.1293, 0.1285, 0.1145, 0.1058, 0.1058, 0.0979, 0.0722, 0.064, 0.084, 0.0764, 0.0551, 0.0197, 0.0044, 0.0055, 0.012, 0.042, 0.0584, 0.0502, 0.0564, 0.0493, 0.0236, 0.0471, 0.0493, 0.0355, 0.0451, 0.0374, 0.0638, 0.0835, 0.0614, 0.076, 0.0479, 0.0467, 0.0514, 0.0363, 0.0094, 0.0, -0.0004, -0.0176, -0.0008, 0.031, 0.0446, 0.0444, 0.0282, 0.053, 0.0595, 0.053, 0.0676, 0.0771, 0.0792, 0.0792, 0.0761, 0.0456, 0.0502, 0.0394, 0.0197, 0.0084, 0.0167, 0.0231, 0.0484, 0.0022, 0.0108, 0.0192, 0.0298, 0.0107, 0.0098, -0.0324, -0.0532, -0.0463, -0.0407, -0.0751, -0.0591, -0.0513, -0.0284, -0.0456, -0.0488, -0.0358, -0.0212, -0.0027, -0.0008, 0.01, 0.032, 0.0242, 0.0325, 0.016, 0.0511, 0.0458, 0.0241, 0.0507, 0.0465, 0.0796, 0.0621, 0.0755, 0.0733, 0.0552, 0.0648, 0.0404, 0.0056, 0.0125, 0.0224, 0.0142, 0.0261, 0.0072, -0.0179, -0.0229, -0.0639, -0.0857, -0.0701, -0.0701, -0.0757, -0.0774, -0.088, -0.1492, -0.1456, -0.1929, -0.1807, -0.1362, -0.1093, -0.1567, -0.1702, -0.1846, -0.1939, -0.1765, -0.2073, -0.1613, -0.1826, -0.1512, -0.1521, -0.1451, -0.1451, -0.1595, -0.1748, -0.1837, -0.1587, -0.1771, -0.1562, -0.1936, -0.2507, -0.2554, -0.2655, -0.2636, -0.2433, -0.2643, -0.3042, -0.3019, -0.3019, -0.3309, -0.341, -0.3399, -0.3778, -0.3602, -0.384, -0.3994, -0.4229, -0.4005, -0.3438, -0.3294, -0.3637, -0.3993, -0.3671, -0.3694, -0.3702, -0.3378]}
{"unit_id": "quote:1926432992366338374", "ticker_idx": 0, "ts": "2025-05-25T00:19:51+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Thanks to Tesla's leadership in autonomous mobility and humanoid robots, as well as breakthroughs elsewhere in blockchain and multiomics sequencing technologies, global real GDP growth could accelerate from 3% annually since 1900 to 7%+", "tweet_type": "prediction", "timeline": "years", "summary": "Bullish TSLA as a leading driver of autonomous mobility and humanoid robots enabling GDP acceleration.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "@ARKInvest could not agree more. Thanks to Tesla’s leadership in autonomous mobility and humanoid robots, as well as breakthroughs elsewhere in blockchain and multiomics sequencing technologies, global real GDP growth could accelerate from 3% annually since 1900 to 7%+.", "reply_text": null, "parent_text": null, "quoted_text": "I have come to the perhaps obvious conclusion that accelerating GDP growth is essential.\n\n@DOGE has and will do great work to postpone the day of bankruptcy of America, but the profligacy of government means that only radical improvements in productivity can save our country.", "parent_author": null, "ret_m1d": 0.0, "ret_signed_m1d": 0.0, "alpha_spy_m1d": 0.0, "alpha_c_m1d": 0.0, "bench_spy_m1d": 0.0, "bench_c_m1d": 0.0, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.06939947711644767, "ret_signed_p1d": 0.06939947711644767, "alpha_spy_p1d": 0.04860891378159993, "alpha_c_p1d": 0.03987169860249362, "bench_spy_p1d": 0.020790563334847745, "bench_c_p1d": 0.02952777851395405, "ret_p1w": 0.009872122766748426, "ret_signed_p1w": 0.009872122766748426, "alpha_spy_p1w": -0.013612297529518314, "alpha_c_p1w": -0.007455302952021903, "bench_spy_p1w": 0.02348442029626674, "bench_c_p1w": 0.01732742571877033, "ret_p1m": 0.0033300079419089634, "ret_signed_p1m": 0.0033300079419089634, "alpha_spy_p1m": -0.04754796342922485, "alpha_c_p1m": -0.022297325661120526, "bench_spy_p1m": 0.05087797137113381, "bench_c_p1m": 0.02562733360302949, "ret_p3m": -0.05666886071154498, "ret_signed_p3m": -0.05666886071154498, "alpha_spy_p3m": -0.15737327179305127, "alpha_c_p3m": -0.13291392902956345, "bench_spy_p3m": 0.1007044110815063, "bench_c_p3m": 0.07624506831801847, "ret_p6m": 0.1824424009260135, "ret_signed_p6m": 0.1824424009260135, "alpha_spy_p6m": 0.03608526947538815, "alpha_c_p6m": 0.11254373262160389, "bench_spy_p6m": 0.14635713145062534, "bench_c_p6m": 0.0698986683044096, "price_path": [-0.143, -0.1691, -0.1366, -0.1612, -0.1983, -0.1775, -0.2236, -0.2259, -0.3453, -0.3205, -0.2689, -0.2907, -0.2633, -0.2986, -0.336, -0.3049, -0.3038, -0.2671, -0.1796, -0.1509, -0.1983, -0.1951, -0.2233, -0.2363, -0.2089, -0.1667, -0.2124, -0.2944, -0.3125, -0.3462, -0.1979, -0.2562, -0.2565, -0.2564, -0.2512, -0.2882, -0.2887, -0.2887, -0.3296, -0.2987, -0.2611, -0.2353, -0.1603, -0.1575, -0.1394, -0.1685, -0.1733, -0.1536, -0.1741, -0.1886, -0.186, -0.1607, -0.1211, -0.0618, -0.0155, 0.0246, 0.0103, 0.0314, 0.0081, 0.0132, -0.0139, 0.005, 0.0, 0.0, 0.0694, 0.0517, 0.0563, 0.021, 0.0099, 0.0145, -0.0215, -0.161, -0.1303, -0.0906, -0.039, -0.038, -0.0596, -0.0413, -0.0301, -0.0677, -0.051, -0.051, -0.0506, 0.0275, 0.0033, -0.0347, -0.04, -0.0463, -0.0639, -0.1138, -0.0698, -0.0707, -0.0707, -0.1338, -0.1224, -0.1281, -0.0868, -0.0761, -0.0661, -0.0842, -0.0521, -0.0587, -0.0286, -0.032, -0.0213, -0.02, -0.1003, -0.0686, -0.0405, -0.0535, -0.0598, -0.0916, -0.1082, -0.0886, -0.0902, -0.0573, -0.0503, -0.0286, -0.0009, 0.0044, 0.0001, -0.0111, -0.0259, -0.0123, -0.0296, -0.0455, -0.0567, 0.002, 0.0214, 0.0363, 0.0302, 0.0196, -0.0161, -0.0161, -0.0294, -0.0155, -0.0024, 0.0339, 0.0208, 0.0225, 0.0249, 0.0868, 0.1668, 0.2083, 0.2425, 0.255, 0.2284, 0.2556, 0.2796, 0.2549, 0.3049, 0.2477, 0.2978, 0.3061, 0.3105, 0.354, 0.2848, 0.2667, 0.3357, 0.2763, 0.2928, 0.2835, 0.2185, 0.2846, 0.2649, 0.2823, 0.2635, 0.2946, 0.3185, 0.3043, 0.2936, 0.3231, 0.2781, 0.3332, 0.3572, 0.36, 0.2969, 0.3454, 0.3802, 0.3092, 0.3617, 0.3141, 0.2658, 0.312, 0.2955, 0.2689, 0.1846, 0.1916, 0.205, 0.1824]}
{"unit_id": "quote:1138987024990519296", "ticker_idx": 0, "ts": "2019-06-13T01:50:42+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "the assumptions in our #Tesla models are quite conservative. Our bear case assumes that $TSLA loses two-thirds of its global #EV market share and in our bull case it loses one-third of its market share", "tweet_type": "analysis", "timeline": "unspecified", "summary": "ARK's Tesla models are conservative even in the bear case; implied bullish on TSLA.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "Given this backdrop, the assumptions in our #Tesla models are quite conservative. Our bear case assumes that $TSLA loses two-thirds of its global #EV market share and in our bull case it loses one-third of its market share.", "reply_text": null, "parent_text": null, "quoted_text": "The EV market has grown over 11X since 2013 and Tesla has pretty much maintained its market share. https://t.co/W5ErUKSxr1", "parent_author": null, "ret_m1d": -0.021738076435227738, "ret_signed_m1d": -0.021738076435227738, "alpha_spy_m1d": -0.017629153416905963, "alpha_c_m1d": -0.012857062834244037, "bench_spy_m1d": -0.004108923018321775, "bench_c_m1d": -0.0088810136009837, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.004721603986466594, "ret_signed_p1d": 0.004721603986466594, "alpha_spy_p1d": 0.005826543140526552, "alpha_c_p1d": 0.002522613726050338, "bench_spy_p1d": -0.0011049391540599585, "bench_c_p1d": 0.002198990260416256, "ret_p1w": 0.026693406640218686, "ret_signed_p1w": 0.026693406640218686, "alpha_spy_p1w": 0.0050067676182834475, "alpha_c_p1w": 0.0075783768010031505, "bench_spy_p1w": 0.02168663902193524, "bench_c_p1w": 0.019115029839215536, "ret_p1m": 0.145715490791956, "ret_signed_p1m": 0.145715490791956, "alpha_spy_p1m": 0.10243779086231175, "alpha_c_p1m": 0.0926172536420431, "bench_spy_p1m": 0.04327769992964425, "bench_c_p1m": 0.05309823714991291, "ret_p3m": 0.10111731832367399, "ret_signed_p3m": 0.10111731832367399, "alpha_spy_p3m": 0.06658425543233903, "alpha_c_p3m": 0.05845861244821293, "bench_spy_p3m": 0.034533062891334954, "bench_c_p3m": 0.042658705875461056, "ret_p6m": 0.5702398779995952, "ret_signed_p6m": 0.5702398779995952, "alpha_spy_p6m": 0.4725720307813863, "alpha_c_p6m": 0.5335742491070827, "bench_spy_p6m": 0.09766784721820887, "bench_c_p6m": 0.03666562889251246, "price_path": [0.2598, 0.2504, 0.279, 0.281, 0.2366, 0.2174, 0.2518, 0.2848, 0.3025, 0.3083, 0.3519, 0.3364, 0.3642, 0.2518, 0.2854, 0.2772, 0.273, 0.2905, 0.2548, 0.2515, 0.2453, 0.2779, 0.268, 0.2775, 0.2775, 0.2283, 0.2337, 0.2092, 0.1576, 0.0992, 0.1288, 0.1158, 0.094, 0.1411, 0.1922, 0.1937, 0.155, 0.1446, 0.1312, 0.1197, 0.0612, 0.086, 0.0843, 0.0674, -0.0135, -0.04, -0.0413, -0.099, -0.0861, -0.1088, -0.1088, -0.1179, -0.1124, -0.1201, -0.1344, -0.1633, -0.0949, -0.081, -0.0372, -0.044, -0.0048, 0.0149, -0.0217, 0.0, 0.0047, 0.052, 0.0506, 0.0585, 0.0267, 0.0372, 0.0455, 0.0273, 0.0251, 0.0417, 0.0446, 0.062, 0.0497, 0.0981, 0.0981, 0.0897, 0.0768, 0.0755, 0.1169, 0.1154, 0.1457, 0.1851, 0.1798, 0.1914, 0.1853, 0.207, 0.1953, 0.2163, 0.2383, 0.0697, 0.0661, 0.1022, 0.1325, 0.1295, 0.0932, 0.0955, 0.0674, 0.0787, 0.0912, 0.114, 0.0986, 0.0706, 0.0986, 0.0267, 0.0081, 0.0282, 0.0604, 0.0559, 0.0324, 0.0385, -0.0117, 0.0051, 0.0008, 0.0079, 0.0365, 0.0547, 0.0547, 0.0519, 0.0316, 0.0733, 0.0633, 0.0836, 0.1011, 0.1552, 0.1494, 0.1463, 0.1351, 0.1444, 0.1383, 0.1528, 0.1249, 0.1277, 0.0435, 0.0691, 0.1339, 0.1319, 0.126, 0.1439, 0.1366, 0.0894, 0.0819, 0.1113, 0.1222, 0.1431, 0.1441, 0.1589, 0.2013, 0.2056, 0.2143, 0.2247, 0.2012, 0.1851, 0.1948, 0.1906, 0.401, 0.534, 0.532, 0.4783, 0.4726, 0.4722, 0.4647, 0.4841, 0.483, 0.5267, 0.5686, 0.5761, 0.6132, 0.6359, 0.618, 0.6332, 0.6463, 0.6362, 0.6807, 0.6466, 0.6588, 0.5569, 0.5723, 0.5377, 0.5487, 0.5487, 0.5424, 0.5655, 0.5717, 0.5569, 0.5444, 0.5702]}
{"unit_id": "quote:1090842536590172161", "ticker_idx": 0, "ts": "2019-01-31T05:21:42+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "China will be the largest market for autonomous electric vehicles, and #Tesla seems to be among the innovators leading the charge", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish TSLA: China is the biggest autonomous EV market and Tesla is among the leading innovators there.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": ".@elonmusk expressed gratitude to China during $TSLA’s earnings call this evening, rightly so. China will be the largest market for autonomous electric vehicles, and #Tesla seems to be among the innovators leading the charge, so to speak.", "reply_text": null, "parent_text": null, "quoted_text": "2. Chen Jie, Shanghai Lingang Development &amp; Construction Mgt Committee: In order to speed up the @Tesla Shanghai GF3 construction, the Shanghai Lingang Gov changed the construction approval. Normal approval takes 15 months &amp; #Tesla project only took 5 months.\n\n$TSLA #TeslaChina https://t.co/XCVICpEdel", "parent_author": null, "ret_m1d": 0.005699960498091183, "ret_signed_m1d": 0.005699960498091183, "alpha_spy_m1d": 0.014405745906777345, "alpha_c_m1d": 0.014708613496046463, "bench_spy_m1d": -0.008705785408686162, "bench_c_m1d": -0.00900865299795528, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.01690437546773982, "ret_signed_p1d": 0.01690437546773982, "alpha_spy_p1d": 0.01642252752130391, "alpha_c_p1d": 0.03152087540220272, "bench_spy_p1d": 0.00048184794643590934, "bench_c_p1d": -0.014616499934462901, "ret_p1w": 0.0015960113043111956, "ret_signed_p1w": 0.0015960113043111956, "alpha_spy_p1w": 0.0008176173032015122, "alpha_c_p1w": 0.012811405236324735, "bench_spy_p1w": 0.0007783940011096835, "bench_c_p1w": -0.01121539393201354, "ret_p1m": -0.03983458587341293, "ret_signed_p1m": -0.03983458587341293, "alpha_spy_p1m": -0.07869667847002881, "alpha_c_p1m": -0.061162190733537014, "bench_spy_p1m": 0.03886209259661588, "bench_c_p1m": 0.021327604860124083, "ret_p3m": -0.22255877691131598, "ret_signed_p3m": -0.22255877691131598, "alpha_spy_p3m": -0.31660232323404713, "alpha_c_p3m": -0.3301131209718393, "bench_spy_p3m": 0.09404354632273115, "bench_c_p3m": 0.10755434406052333, "ret_p6m": -0.2572470719990547, "ret_signed_p6m": -0.2572470719990547, "alpha_spy_p6m": -0.38648688485422844, "alpha_c_p6m": -0.4008310790248728, "bench_spy_p6m": 0.12923981285517372, "bench_c_p6m": 0.14358400702581808, "price_path": [0.112, 0.1109, 0.134, 0.1446, 0.1417, 0.079, 0.1033, 0.1204, 0.1349, 0.154, 0.1513, 0.1318, 0.1015, 0.1015, 0.0613, 0.127, 0.1202, 0.1331, 0.1112, 0.1416, 0.1676, 0.1716, 0.1716, 0.1825, 0.166, 0.1893, 0.1946, 0.1941, 0.2272, 0.1912, 0.1348, 0.0977, 0.0845, 0.0272, 0.0415, -0.0379, -0.0379, 0.0621, 0.0297, 0.0875, 0.084, 0.084, 0.0101, -0.0217, 0.0348, 0.091, 0.0923, 0.1026, 0.1236, 0.1311, 0.0892, 0.1218, 0.1271, 0.1312, -0.0155, -0.0155, -0.0264, -0.0633, -0.0505, -0.0325, -0.0347, -0.0311, 0.0057, 0.0, 0.0169, 0.0191, 0.0467, 0.0332, 0.0016, -0.004, 0.019, 0.0156, 0.0037, -0.0106, 0.0028, 0.0028, -0.0045, -0.0145, -0.0514, -0.0401, -0.0269, -0.0298, 0.0251, 0.0419, -0.0398, -0.0705, -0.0993, -0.1003, -0.0991, -0.0745, -0.0524, -0.0771, -0.0588, -0.0556, -0.1029, -0.1222, -0.1288, -0.1089, -0.1075, -0.1384, -0.1518, -0.1278, -0.1048, -0.0925, -0.0885, -0.0581, -0.0689, -0.0495, -0.1278, -0.1044, -0.1102, -0.1131, -0.1008, -0.1257, -0.1281, -0.1324, -0.1096, -0.1166, -0.11, -0.11, -0.1442, -0.1404, -0.1575, -0.1934, -0.2341, -0.2135, -0.2226, -0.2378, -0.2049, -0.1693, -0.1683, -0.1953, -0.2025, -0.2118, -0.2199, -0.2606, -0.2433, -0.2445, -0.2563, -0.3127, -0.3311, -0.332, -0.3723, -0.3633, -0.3791, -0.3791, -0.3854, -0.3816, -0.3869, -0.3969, -0.4171, -0.3694, -0.3597, -0.3292, -0.3339, -0.3066, -0.2929, -0.3184, -0.3033, -0.3, -0.2671, -0.268, -0.2625, -0.2847, -0.2774, -0.2716, -0.2842, -0.2858, -0.2742, -0.2722, -0.2601, -0.2686, -0.2349, -0.2349, -0.2408, -0.2498, -0.2507, -0.2218, -0.2229, -0.2017, -0.1743, -0.178, -0.1699, -0.1742, -0.1591, -0.1672, -0.1526, -0.1373, -0.2547, -0.2572]}
{"unit_id": "quote:865993720256229378", "ticker_idx": 0, "ts": "2017-05-20T18:12:46+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "In early days of the internet, AOL crashed in a traffic jam. Investors sold, but it was a buy signal! Call for bitcoin community action!", "tweet_type": "news_reaction", "timeline": "unspecified", "summary": "Network congestion is a buy signal for Bitcoin, analogous to early AOL traffic jams.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "In early days of the internet, AOL crashed in a traffic jam. Investors sold, but it was a buy signal! Call for bitcoin community action! https://t.co/U2ZDt7zYNY", "reply_text": null, "parent_text": null, "quoted_text": "Bitcoin Grinds to a Halt as 200,000 Transactions Get Stuck https://t.co/yNrjJP9Wr2 https://t.co/xZO5og2JDF", "parent_author": null, "ret_m1d": -0.08543754014436356, "ret_signed_m1d": -0.08543754014436356, "alpha_spy_m1d": -0.08038589524661965, "alpha_c_m1d": null, "bench_spy_m1d": -0.005051644897743901, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.06764517628472633, "ret_signed_p1d": 0.06764517628472633, "alpha_spy_p1d": 0.06543235878178066, "alpha_c_p1d": null, "bench_spy_p1d": 0.002212817502945663, "bench_c_p1d": null, "ret_p1w": 0.037825622882135645, "ret_signed_p1w": 0.037825622882135645, "alpha_spy_p1w": 0.028682469605439298, "alpha_c_p1w": null, "bench_spy_p1w": 0.009143153276696347, "bench_c_p1w": null, "ret_p1m": 0.2523190215143458, "ret_signed_p1m": 0.2523190215143458, "alpha_spy_p1m": 0.2328008250575868, "alpha_c_p1m": null, "bench_spy_p1m": 0.019518196456759007, "bench_c_p1m": null, "ret_p3m": 0.9930478218642802, "ret_signed_p3m": 0.9930478218642802, "alpha_spy_p3m": 0.9731938090461014, "alpha_c_p3m": null, "bench_spy_p3m": 0.01985401281817878, "bench_c_p3m": null, "ret_p6m": 2.0531656842554113, "ret_signed_p6m": 2.0531656842554113, "alpha_spy_p6m": 1.9665252099425345, "alpha_c_p6m": null, "bench_spy_p6m": 0.0866404743128768, "bench_c_p6m": null, "price_path": [-0.4859, -0.4632, -0.46, -0.4571, -0.4571, -0.4375, -0.4244, -0.4134, -0.4144, -0.437, -0.4709, -0.4532, -0.4862, -0.4332, -0.4295, -0.425, -0.4535, -0.4938, -0.5149, -0.4844, -0.5173, -0.5221, -0.5686, -0.5188, -0.5182, -0.5215, -0.5277, -0.5069, -0.4737, -0.4786, -0.4825, -0.4558, -0.4585, -0.4538, -0.4456, -0.4477, -0.462, -0.4628, -0.4507, -0.4425, -0.4431, -0.4345, -0.4377, -0.4248, -0.4177, -0.4106, -0.3937, -0.3943, -0.3459, -0.3315, -0.3144, -0.2925, -0.2843, -0.2071, -0.1923, -0.1777, -0.1495, -0.2067, -0.2001, -0.202, -0.1538, -0.131, -0.0854, 0.0, 0.0676, 0.1243, 0.0605, 0.0134, 0.0378, 0.001, 0.052, 0.1079, 0.145, 0.2362, 0.3174, 0.2571, 0.2909, 0.2993, 0.2237, 0.2501, 0.1532, 0.134, 0.1588, 0.1915, 0.2523, 0.2373, 0.2448, 0.263, 0.1404, 0.1744, 0.1847, 0.1684, 0.1415, 0.1797, 0.197, 0.1972, 0.2002, 0.1589, 0.0916, 0.0756, 0.1037, 0.0849, 0.0276, 0.0253, 0.0669, 0.046, 0.2964, 0.2275, 0.2675, 0.1855, 0.1638, 0.2293, 0.2924, 0.323, 0.2507, 0.2472, 0.2905, 0.3324, 0.5547, 0.5735, 0.5379, 0.5558, 0.6797, 0.99, 0.9241, 1.0137, 0.993, 0.9143, 0.8412, 0.8867, 0.9102, 0.9944, 1.0114, 1.0165, 1.1068, 1.1005, 1.1641, 1.2509, 0.9492, 1.0137, 1.1152, 1.1164, 0.9457, 0.9146, 0.9006, 0.7864, 0.4516, 0.6737, 0.8704, 0.8059, 0.7972, 0.6707, 0.6705, 0.8064, 0.7909, 0.9328, 0.9208, 0.9155, 1.0288, 0.9865, 0.946, 0.9915, 1.011, 1.1956, 1.2002, 1.2207, 1.5062, 1.5983, 1.6344, 1.5791, 1.5723, 1.6265, 1.7659, 1.7286, 1.5429, 1.646, 1.7169, 1.6598, 1.8207, 1.9762, 2.1137, 2.2569, 2.3164, 2.2312, 2.2872, 2.4323, 2.2868, 2.0451, 2.0181, 2.0532]}
{"unit_id": "quote:1985763359950606801", "ticker_idx": 0, "ts": "2025-11-04T17:37:33+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "I do not understand why investors are voting against Elon's pay package when they and their clients would benefit enormously if he and his incredible team meet such high goals.", "tweet_type": "analysis", "timeline": "years", "summary": "Cathie Wood bullish TSLA; argues investors benefit enormously if Musk's team meets high goals, endorsing the pay package and long-term upside.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "I do not understand why investors are voting against Elon’s pay package when they and their clients would benefit enormously if he and his incredible team meet such high goals. $TSLA", "reply_text": null, "parent_text": null, "quoted_text": "Elon Musk is the only person I trust and want to hold a significant influence at @Tesla\n\nElon Musk was the primary reason I invested in $TSLA seven years and ~ 2,000% ago — Elon has not once let me down and I look forward with great enthusiasm to the next seven years of stellar https://t.co/XbNlHkhVWD", "parent_author": null, "ret_m1d": 0.05426998789353554, "ret_signed_m1d": 0.05426998789353554, "alpha_spy_m1d": 0.04227425606471624, "alpha_c_m1d": 0.03739061207652239, "bench_spy_m1d": 0.0119957318288193, "bench_c_m1d": 0.016879375817013154, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.040089130615176494, "ret_signed_p1d": 0.040089130615176494, "alpha_spy_p1d": 0.036623741418180256, "alpha_c_p1d": 0.027912393182401463, "bench_spy_p1d": 0.003465389196996238, "bench_c_p1d": 0.012176737432775031, "ret_p1w": -0.010444367141857702, "ret_signed_p1w": -0.010444367141857702, "alpha_spy_p1w": -0.021936485315438237, "alpha_c_p1w": -0.01628080535594223, "bench_spy_p1w": 0.011492118173580534, "bench_c_p1w": 0.005836438214084527, "ret_p1m": 0.005582272575148872, "ret_signed_p1m": 0.005582272575148872, "alpha_spy_p1m": -0.007227967981277006, "alpha_c_p1m": 0.00209718571589268, "bench_spy_p1m": 0.012810240556425878, "bench_c_p1m": 0.0034850868592561923, "ret_p3m": -0.031175450860009613, "ret_signed_p3m": -0.031175450860009613, "alpha_spy_p3m": -0.05897983349875602, "alpha_c_p3m": -0.05074324322579182, "bench_spy_p3m": 0.027804382638746405, "bench_c_p3m": 0.01956779236578221, "ret_p6m": -0.16085179940088667, "ret_signed_p6m": -0.16085179940088667, "alpha_spy_p6m": -0.22067010213923588, "alpha_c_p6m": -0.14596033632309813, "bench_spy_p6m": 0.059818302738349205, "bench_c_p6m": -0.014891463077788547, "price_path": [-0.2746, -0.258, -0.2369, -0.2328, -0.2361, -0.2446, -0.2559, -0.2456, -0.2587, -0.2709, -0.2795, -0.2347, -0.2198, -0.2084, -0.2131, -0.2212, -0.2485, -0.2485, -0.2586, -0.248, -0.238, -0.2103, -0.2203, -0.219, -0.2171, -0.1698, -0.1088, -0.077, -0.051, -0.0414, -0.0617, -0.0409, -0.0226, -0.0414, -0.0033, -0.047, -0.0087, -0.0024, 0.001, 0.0342, -0.0186, -0.0325, 0.0202, -0.0251, -0.0125, -0.0196, -0.0693, -0.0188, -0.0338, -0.0205, -0.0349, -0.0111, 0.0071, -0.0037, -0.0119, 0.0106, -0.0237, 0.0184, 0.0367, 0.0388, -0.0094, 0.0277, 0.0543, 0.0, 0.0401, 0.0037, -0.0332, 0.0022, -0.0104, -0.0307, -0.0951, -0.0898, -0.0795, -0.0968, -0.0906, -0.1104, -0.1197, -0.0596, -0.056, -0.0398, -0.0398, -0.0317, -0.0318, -0.0338, 0.0056, 0.0231, 0.0242, -0.0105, 0.002, 0.0162, 0.0059, 0.0331, 0.0699, 0.1027, 0.0518, 0.088, 0.0831, 0.1001, 0.093, 0.0926, 0.0926, 0.0696, 0.0346, 0.0229, 0.0123, 0.0123, -0.0139, 0.0167, -0.0254, -0.0289, -0.019, 0.0017, 0.0106, 0.0066, -0.0114, -0.0128, -0.0152, -0.0152, -0.0563, -0.0289, 0.0115, 0.0108, -0.0204, -0.0301, -0.0288, -0.0624, -0.0312, -0.0505, -0.0502, -0.0861, -0.1059, -0.0746, -0.0606, -0.0429, -0.036, -0.0612, -0.0604, -0.0604, -0.0757, -0.0741, -0.0733, -0.073, -0.1, -0.0785, -0.0605, -0.0803, -0.094, -0.0922, -0.1167, -0.0863, -0.0871, -0.107, -0.1026, -0.1013, -0.082, -0.1109, -0.1194, -0.1096, -0.1013, -0.1159, -0.144, -0.1717, -0.1427, -0.1378, -0.1313, -0.1624, -0.1855, -0.2003, -0.1632, -0.1418, -0.1883, -0.1883, -0.2058, -0.2197, -0.2274, -0.222, -0.2145, -0.2067, -0.1802, -0.1177, -0.1246, -0.0982, -0.1165, -0.1302, -0.1277, -0.1588, -0.153, -0.1476, -0.1536, -0.1609]}
{"unit_id": "quote:865997760285290496", "ticker_idx": 0, "ts": "2017-05-20T18:28:50+00:00", "symbol": "S&P500", "kind": "index", "geography": "US", "sub_sector": null, "direction": "short", "conviction": "low", "explicit": false, "explicit_audit": "flipped_to_implicit", "polarity_reversed": false, "quote": "The S&P looks backwards as innovation changes the world at an accelerated rate", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bearish S&P500 vs innovation stocks; S&P lags as innovation accelerates, implying rotation into growth/innovation names.", "resolved_tickers": ["SPY"], "resolution_method": "etf", "resolution_reason": "S&P 500 index; SPY ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Same is true of #S&amp;P500 relative to #innovation stocks.  The  S&amp;P looks backwards as innovation changes the world at an accelerated rate! https://t.co/EnYqLUz3AL", "reply_text": null, "parent_text": null, "quoted_text": "S&amp;P 500’s performance vs a diverse group of markets shows increasing signs of breaking-down #WILTW https://t.co/UG0eJwqi4c", "parent_author": null, "ret_m1d": -0.005051644897743901, "ret_signed_m1d": 0.005051644897743901, "alpha_spy_m1d": 0.0, "alpha_c_m1d": 0.0, "bench_spy_m1d": -0.005051644897743901, "bench_c_m1d": -0.005051644897743901, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.002212817502945663, "ret_signed_p1d": -0.002212817502945663, "alpha_spy_p1d": 0.0, "alpha_c_p1d": 0.0, "bench_spy_p1d": 0.002212817502945663, "bench_c_p1d": 0.002212817502945663, "ret_p1w": 0.009143153276696347, "ret_signed_p1w": -0.009143153276696347, "alpha_spy_p1w": 0.0, "alpha_c_p1w": 0.0, "bench_spy_p1w": 0.009143153276696347, "bench_c_p1w": 0.009143153276696347, "ret_p1m": 0.019518196456759007, "ret_signed_p1m": -0.019518196456759007, "alpha_spy_p1m": 0.0, "alpha_c_p1m": 0.0, "bench_spy_p1m": 0.019518196456759007, "bench_c_p1m": 0.019518196456759007, "ret_p3m": 0.01985401281817878, "ret_signed_p3m": -0.01985401281817878, "alpha_spy_p3m": 0.0, "alpha_c_p3m": 0.0, "bench_spy_p3m": 0.01985401281817878, "bench_c_p3m": 0.01985401281817878, "ret_p6m": 0.0866404743128768, "ret_signed_p6m": -0.0866404743128768, "alpha_spy_p6m": 0.0, "alpha_c_p6m": 0.0, "bench_spy_p6m": 0.0866404743128768, "bench_c_p6m": 0.0866404743128768, "price_path": [-0.0178, -0.0171, -0.0159, -0.0143, -0.017, -0.0033, -0.0095, -0.0089, -0.0119, -0.0148, -0.0166, -0.0154, -0.0119, -0.0114, -0.0152, -0.0067, -0.0087, -0.0104, -0.0115, -0.0242, -0.0219, -0.0229, -0.0236, -0.0246, -0.0175, -0.0166, -0.0135, -0.0158, -0.0175, -0.0169, -0.0198, -0.017, -0.018, -0.0175, -0.0186, -0.0229, -0.0293, -0.0293, -0.0207, -0.0236, -0.0254, -0.0175, -0.0206, -0.0098, -0.0041, -0.0047, -0.0038, -0.006, -0.0035, -0.0031, -0.0043, -0.0032, 0.0008, 0.0006, -0.0003, 0.0015, -0.0006, -0.0023, 0.0033, 0.0023, -0.0154, -0.0115, -0.0051, 0.0, 0.0022, 0.0046, 0.0094, 0.0091, 0.0091, 0.0083, 0.008, 0.016, 0.0194, 0.0187, 0.0154, 0.0173, 0.0178, 0.0162, 0.016, 0.021, 0.0197, 0.0177, 0.018, 0.0264, 0.0195, 0.0193, 0.0188, 0.02, 0.0207, 0.0125, 0.0215, 0.0126, 0.0144, 0.0162, 0.0162, 0.0185, 0.0092, 0.0157, 0.0168, 0.0161, 0.0237, 0.0254, 0.0302, 0.0301, 0.0306, 0.0362, 0.0367, 0.0358, 0.0355, 0.038, 0.0381, 0.0371, 0.0359, 0.0353, 0.0376, 0.0381, 0.0361, 0.038, 0.0399, 0.0373, 0.0373, 0.0227, 0.0242, 0.0343, 0.0342, 0.036, 0.0199, 0.0183, 0.0191, 0.0297, 0.026, 0.0236, 0.026, 0.0261, 0.0272, 0.0321, 0.0383, 0.0398, 0.0398, 0.0323, 0.0358, 0.0357, 0.0345, 0.0455, 0.0491, 0.0496, 0.0492, 0.0506, 0.0529, 0.0539, 0.0543, 0.0515, 0.0517, 0.0495, 0.0502, 0.0543, 0.0555, 0.0592, 0.0638, 0.0661, 0.0674, 0.0737, 0.0725, 0.0707, 0.0735, 0.0752, 0.0736, 0.0749, 0.0764, 0.0771, 0.0782, 0.0785, 0.084, 0.0798, 0.0817, 0.0764, 0.0777, 0.0866, 0.0825, 0.0842, 0.0856, 0.0861, 0.0897, 0.0914, 0.0906, 0.0925, 0.0885, 0.0882, 0.0892, 0.0866]}
{"unit_id": "quote:865997760285290496", "ticker_idx": 1, "ts": "2017-05-20T18:28:50+00:00", "symbol": "innovation stocks", "kind": "sector", "geography": "US", "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Same is true of #S&P500 relative to #innovation stocks", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bearish S&P500 vs innovation stocks; S&P lags as innovation accelerates, implying rotation into growth/innovation names.", "resolved_tickers": ["ARKK"], "resolution_method": "etf", "resolution_reason": "Innovation stocks; ARKK is ARK Innovation ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Same is true of #S&amp;P500 relative to #innovation stocks.  The  S&amp;P looks backwards as innovation changes the world at an accelerated rate! https://t.co/EnYqLUz3AL", "reply_text": null, "parent_text": null, "quoted_text": "S&amp;P 500’s performance vs a diverse group of markets shows increasing signs of breaking-down #WILTW https://t.co/UG0eJwqi4c", "parent_author": null, "ret_m1d": -0.01535650326650162, "ret_signed_m1d": -0.01535650326650162, "alpha_spy_m1d": -0.010304858368757719, "alpha_c_m1d": -0.010304858368757719, "bench_spy_m1d": -0.005051644897743901, "bench_c_m1d": -0.005051644897743901, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0032906900698170816, "ret_signed_p1d": 0.0032906900698170816, "alpha_spy_p1d": 0.0010778725668714184, "alpha_c_p1d": 0.0010778725668714184, "bench_spy_p1d": 0.002212817502945663, "bench_c_p1d": 0.002212817502945663, "ret_p1w": 0.032906673931270225, "ret_signed_p1w": 0.032906673931270225, "alpha_spy_p1w": 0.023763520654573878, "alpha_c_p1w": 0.023763520654573878, "bench_spy_p1w": 0.009143153276696347, "bench_c_p1w": 0.009143153276696347, "ret_p1m": 0.07312620243148538, "ret_signed_p1m": 0.07312620243148538, "alpha_spy_p1m": 0.05360800597472637, "alpha_c_p1m": 0.05360800597472637, "bench_spy_p1m": 0.019518196456759007, "bench_c_p1m": 0.019518196456759007, "ret_p3m": 0.13235832133232517, "ret_signed_p3m": 0.13235832133232517, "alpha_spy_p3m": 0.11250430851414639, "alpha_c_p3m": 0.11250430851414639, "bench_spy_p3m": 0.01985401281817878, "bench_c_p3m": 0.01985401281817878, "ret_p6m": 0.2617916520150054, "ret_signed_p6m": 0.2617916520150054, "alpha_spy_p6m": 0.17515117770212862, "alpha_c_p6m": 0.17515117770212862, "bench_spy_p6m": 0.0866404743128768, "bench_c_p6m": 0.0866404743128768, "price_path": [-0.1527, -0.1601, -0.1642, -0.1492, -0.1545, -0.141, -0.1499, -0.1517, -0.1492, -0.1501, -0.1503, -0.1592, -0.1514, -0.1433, -0.1452, -0.1373, -0.1327, -0.133, -0.1335, -0.1576, -0.1583, -0.1581, -0.1532, -0.1433, -0.1373, -0.1302, -0.128, -0.1239, -0.1214, -0.125, -0.1351, -0.131, -0.1245, -0.1193, -0.1215, -0.1292, -0.128, -0.128, -0.123, -0.1166, -0.1115, -0.1024, -0.1101, -0.0976, -0.0852, -0.0739, -0.0647, -0.0797, -0.06, -0.0611, -0.0644, -0.0676, -0.0581, -0.0607, -0.0395, -0.0304, -0.0286, -0.0234, -0.0146, -0.0101, -0.045, -0.0172, -0.0154, 0.0, 0.0033, 0.0333, 0.0461, 0.0329, 0.0329, 0.0289, 0.0366, 0.0589, 0.0662, 0.068, 0.0753, 0.0769, 0.0878, 0.054, 0.0336, 0.0497, 0.0406, 0.0369, 0.0431, 0.072, 0.0731, 0.0885, 0.0987, 0.1079, 0.0914, 0.0679, 0.0891, 0.0686, 0.0585, 0.053, 0.053, 0.06, 0.0384, 0.045, 0.0435, 0.0567, 0.0746, 0.0698, 0.0718, 0.0644, 0.0761, 0.0775, 0.087, 0.0951, 0.1108, 0.1079, 0.1075, 0.0907, 0.0958, 0.0831, 0.0859, 0.09, 0.0982, 0.1115, 0.1324, 0.1305, 0.1203, 0.1002, 0.1243, 0.1609, 0.1437, 0.1528, 0.1324, 0.1243, 0.1243, 0.1452, 0.1514, 0.1605, 0.1575, 0.1814, 0.1993, 0.2219, 0.2483, 0.23, 0.23, 0.2223, 0.23, 0.234, 0.2165, 0.2329, 0.2384, 0.2329, 0.2267, 0.2413, 0.2563, 0.2508, 0.2541, 0.242, 0.2395, 0.2205, 0.2157, 0.2369, 0.2475, 0.2537, 0.2603, 0.2724, 0.2673, 0.2841, 0.2804, 0.2778, 0.272, 0.2728, 0.2768, 0.2718, 0.2684, 0.2698, 0.2684, 0.2563, 0.2739, 0.2622, 0.2563, 0.2333, 0.2508, 0.2742, 0.2812, 0.2984, 0.2782, 0.2735, 0.2907, 0.2885, 0.2757, 0.2771, 0.2673, 0.2687, 0.2742, 0.2618]}
{"unit_id": "quote:819575586263801856", "ticker_idx": 0, "ts": "2017-01-12T16:03:41+00:00", "symbol": "AMZN", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "My bet is on the latter", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish Amazon; expects revenue growth to accelerate beyond 29% to absorb massive headcount expansion.", "resolved_tickers": ["AMZN"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Internet Retail'", "bench_c_industry": "Internet Retail", "unit_kind": "quote", "lang": "en", "tweet_text": "So, either its productivity will collapse, or its revenue growth rate will accelerate from 29%.  My bet is on the latter. https://t.co/PxXtq3Ig56", "reply_text": null, "parent_text": null, "quoted_text": "Amazon, which currently employs 180K full-time workers in US, says it will create an additional 100K full-time jobs by mid-2018 @FT", "parent_author": null, "ret_m1d": -0.017968610372578575, "ret_signed_m1d": -0.017968610372578575, "alpha_spy_m1d": -0.020484752778546222, "alpha_c_m1d": -0.018925228194456634, "bench_spy_m1d": 0.0025161424059676474, "bench_c_m1d": 0.0009566178218780585, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.004301638082535586, "ret_signed_p1d": 0.004301638082535586, "alpha_spy_p1d": 0.0020060511502484335, "alpha_c_p1d": 0.0005955942163473615, "bench_spy_p1d": 0.0022955869322871525, "bench_c_p1d": 0.0037060438661882245, "ret_p1w": -0.005653594875429269, "ret_signed_p1w": -0.005653594875429269, "alpha_spy_p1w": -0.0029167409607802064, "alpha_c_p1w": -0.006131603718042777, "bench_spy_p1w": -0.0027368539146490622, "bench_c_p1w": 0.00047800884261350873, "ret_p1m": 0.016985445788483045, "ret_signed_p1m": 0.016985445788483045, "alpha_spy_p1m": -0.004998247461684757, "alpha_c_p1m": -0.00787991605440852, "bench_spy_p1m": 0.021983693250167802, "bench_c_p1m": 0.024865361842891565, "ret_p3m": 0.10904087582945432, "ret_signed_p3m": 0.10904087582945432, "alpha_spy_p3m": 0.06687124659124133, "alpha_c_p3m": 0.05976665608961951, "bench_spy_p3m": 0.04216962923821299, "bench_c_p3m": 0.04927421973983481, "ret_p6m": 0.20293989183970584, "ret_signed_p6m": 0.20293989183970584, "alpha_spy_p6m": 0.12427882506117238, "alpha_c_p6m": 0.13014061544447064, "bench_spy_p6m": 0.07866106677853346, "bench_c_p6m": 0.0727992763952352, "price_path": [-0.0008, 0.0049, 0.005, -0.0041, 0.0066, 0.0301, 0.0265, 0.011, 0.0058, -0.0459, -0.0293, -0.0347, -0.0591, -0.0573, -0.072, -0.0353, -0.0318, -0.0513, -0.0876, -0.0917, -0.1162, -0.0865, -0.0825, -0.0704, -0.0657, -0.0413, -0.0348, -0.0412, -0.0412, -0.0409, -0.0576, -0.0628, -0.0775, -0.086, -0.0901, -0.0667, -0.0601, -0.0531, -0.0569, -0.0553, -0.0658, -0.0483, -0.0551, -0.0647, -0.0687, -0.0586, -0.0521, -0.0529, -0.0581, -0.0652, -0.0652, -0.0519, -0.051, -0.0596, -0.0784, -0.0784, -0.0737, -0.0694, -0.0408, -0.0217, -0.0205, -0.0218, -0.018, 0.0, 0.0043, 0.0043, -0.0048, -0.0076, -0.0057, -0.0065, 0.0052, 0.0108, 0.0281, 0.0314, 0.0272, 0.0206, 0.0121, 0.023, 0.0323, -0.0042, -0.0074, -0.0014, 0.0075, 0.0095, 0.017, 0.0281, 0.028, 0.0357, 0.0375, 0.0386, 0.0386, 0.0526, 0.0516, 0.0474, 0.0388, 0.043, 0.0386, 0.0485, 0.0433, 0.0445, 0.0405, 0.0398, 0.0453, 0.0484, 0.0477, 0.0503, 0.0478, 0.0483, 0.0489, 0.0475, 0.0533, 0.0363, 0.0423, 0.0415, 0.0393, 0.0408, 0.0521, 0.0746, 0.0771, 0.0896, 0.0957, 0.1145, 0.1175, 0.104, 0.0998, 0.1148, 0.109, 0.1015, 0.0873, 0.0873, 0.1086, 0.1108, 0.1052, 0.1087, 0.1043, 0.1152, 0.1155, 0.1176, 0.1287, 0.1369, 0.1654, 0.1638, 0.1566, 0.1523, 0.1481, 0.1664, 0.1711, 0.1663, 0.1647, 0.1815, 0.1774, 0.1873, 0.1612, 0.178, 0.1797, 0.193, 0.1941, 0.2049, 0.2209, 0.2239, 0.2239, 0.225, 0.2224, 0.2241, 0.2373, 0.243, 0.2327, 0.2414, 0.2417, 0.2024, 0.1859, 0.2054, 0.2001, 0.185, 0.2139, 0.2231, 0.2199, 0.2318, 0.2306, 0.2336, 0.2216, 0.2005, 0.2172, 0.1995, 0.1897, 0.1721, 0.1721, 0.1939, 0.1862, 0.2029]}
{"unit_id": "quote:871339969226440704", "ticker_idx": 0, "ts": "2017-06-04T12:16:52+00:00", "symbol": "S&P500", "kind": "index", "geography": "US", "sub_sector": null, "direction": "long", "conviction": "high", "explicit": false, "explicit_audit": "kept_implicit", "polarity_reversed": false, "quote": "Stocks are continuing to climb the wall of worry...suggesting a continuation of this strong bull market.", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish US equities; climbing wall of worry signals continuation of the strong bull market.", "resolved_tickers": ["SPY"], "resolution_method": "etf", "resolution_reason": "S&P 500 index; SPY ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Stocks are continuing to climb the wall of worry...suggesting a continuation of this strong bull market. @larry_kudlow https://t.co/DFMW8iyLWF", "reply_text": null, "parent_text": null, "quoted_text": "Radio @LarryKudlowShow : Stocks make new highs after @realDonaldTrump pulls out of Paris. Despite soft jobs. @jimiuorio #michaelcuggino", "parent_author": null, "ret_m1d": 0.0007377235807655147, "ret_signed_m1d": 0.0007377235807655147, "alpha_spy_m1d": 0.0, "alpha_c_m1d": 0.0, "bench_spy_m1d": 0.0007377235807655147, "bench_c_m1d": 0.0007377235807655147, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.003196754102789634, "ret_signed_p1d": -0.003196754102789634, "alpha_spy_p1d": 0.0, "alpha_c_p1d": 0.0, "bench_spy_p1d": -0.003196754102789634, "bench_c_p1d": -0.003196754102789634, "ret_p1w": -0.002581924351491627, "ret_signed_p1w": -0.002581924351491627, "alpha_spy_p1w": 0.0, "alpha_c_p1w": 0.0, "bench_spy_p1w": -0.002581924351491627, "bench_c_p1w": -0.002581924351491627, "ret_p1m": -0.002454342670547782, "ret_signed_p1m": -0.002454342670547782, "alpha_spy_p1m": 0.0, "alpha_c_p1m": 0.0, "bench_spy_p1m": -0.002454342670547782, "bench_c_p1m": -0.002454342670547782, "ret_p3m": 0.019291590636326905, "ret_signed_p3m": 0.019291590636326905, "alpha_spy_p3m": 0.0, "alpha_c_p3m": 0.0, "bench_spy_p3m": 0.019291590636326905, "bench_c_p3m": 0.019291590636326905, "ret_p6m": 0.08800705514435081, "ret_signed_p6m": 0.08800705514435081, "alpha_spy_p6m": 0.0, "alpha_c_p6m": 0.0, "bench_spy_p6m": 0.08800705514435081, "bench_c_p6m": 0.08800705514435081, "price_path": [-0.0347, -0.0334, -0.03, -0.0296, -0.0333, -0.0249, -0.0268, -0.0285, -0.0296, -0.0421, -0.0398, -0.0408, -0.0415, -0.0425, -0.0355, -0.0346, -0.0316, -0.0338, -0.0355, -0.0349, -0.0377, -0.035, -0.036, -0.0355, -0.0366, -0.0408, -0.0471, -0.0471, -0.0386, -0.0415, -0.0432, -0.0355, -0.0385, -0.028, -0.0223, -0.0229, -0.0221, -0.0242, -0.0218, -0.0214, -0.0226, -0.0214, -0.0176, -0.0177, -0.0186, -0.0169, -0.0189, -0.0205, -0.0151, -0.016, -0.0335, -0.0296, -0.0233, -0.0183, -0.0161, -0.0139, -0.0091, -0.0093, -0.0093, -0.0102, -0.0105, -0.0026, 0.0007, 0.0, -0.0032, -0.0014, -0.0009, -0.0024, -0.0026, 0.0023, 0.001, -0.0009, -0.0007, 0.0076, 0.0008, 0.0006, 0.0001, 0.0013, 0.002, -0.0061, 0.0028, -0.006, -0.0041, -0.0025, -0.0025, -0.0001, -0.0093, -0.0029, -0.0018, -0.0025, 0.005, 0.0066, 0.0113, 0.0112, 0.0118, 0.0172, 0.0177, 0.0168, 0.0165, 0.019, 0.019, 0.0181, 0.0169, 0.0163, 0.0186, 0.0191, 0.0171, 0.019, 0.0209, 0.0183, 0.0183, 0.0039, 0.0054, 0.0154, 0.0153, 0.017, 0.0012, -0.0004, 0.0004, 0.0108, 0.0072, 0.0049, 0.0072, 0.0073, 0.0084, 0.0132, 0.0193, 0.0207, 0.0207, 0.0134, 0.0169, 0.0167, 0.0155, 0.0264, 0.0298, 0.0303, 0.03, 0.0314, 0.0336, 0.0346, 0.035, 0.0322, 0.0324, 0.0303, 0.0309, 0.0349, 0.0362, 0.0398, 0.0443, 0.0466, 0.0478, 0.054, 0.0528, 0.0511, 0.0539, 0.0555, 0.0539, 0.0552, 0.0566, 0.0574, 0.0584, 0.0587, 0.0642, 0.06, 0.0619, 0.0566, 0.058, 0.0666, 0.0627, 0.0643, 0.0657, 0.0662, 0.0697, 0.0714, 0.0706, 0.0724, 0.0686, 0.0682, 0.0692, 0.0667, 0.0614, 0.0704, 0.0673, 0.0691, 0.0761, 0.0751, 0.0751, 0.0776, 0.0771, 0.088]}
{"unit_id": "thread:1798818756141154473", "ticker_idx": 0, "ts": "2024-06-06T20:46:26+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "If shareholders renege on Elon's pay package after 73% voted for it in 2018, the public equity market will lose access to one of the most innovative companies in the world, depriving retail investors", "tweet_type": "analysis", "timeline": "years", "summary": "ARK bullish TSLA: Musk's pay package aligns incentives for 5+ more years, rejecting it would deprive investors of one of the world's most innovative companies.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "self_thread", "lang": "en", "tweet_text": "I’d argue that no other executive is as aligned with shareholders as @elonmusk, who committed to no salary, no bonus, no stock comp FOR 10 YEARS, unless he created tremendous value for @Tesla shareholders.\n\n---\n\nMoreover, Musk will not be able to cash in on his options until 5 years after exercising them. Based on this pay package, Elon has worked without compensation since 2018, and IMPORTANTLY current shareholders will benefit from another 5+ years of Elon at the helm.\n\n---\n\nWhat were the odds that Musk would hit the goals in his comp package? Although @TashaARK and @skorusARK published our model in 2018 showing that, with brilliant execution, the targets were possible, most analysts, auto manufacturers, and media thought they were laughable.\n\n---\n\nIn fact, in 2018 and 2019, when Tesla was scaling the Model 3 in what Elon described as “production hell”, analysts and media pundits peppered their narratives with the word ‘bankruptcy’. Indeed, Morgan Stanley dropped its bear price target to ~$1 on a split-adjusted basis.\n\n---\n\nInstead, $TSLA shot up to ~$414 as Tesla hit the milestones in Musk’s pay package: compounding revenues at a 49% annual growth rate, adj-EBITDA 142%, and market cap 91% from Q1’18 to Q2’22. Even after soaring interest rates and a Chinese price war, $TSLA is still at $179.\n\n---\n\nNow, what about the $56 billion package? As Tesla noted, the accounting fair value of the award in 2018 was $2.3 billion. The size of the award grew in proportion to the value that Tesla created for shareholders.\n\n---\n\nFor perspective, GM and Ford each spent $4 billion on ads in just one year, 2018. Tesla paid nothing for advertising in any year from 2018 until recently.\n\n---\n\nElon is not the sole winner: all long-term shareholders have benefited. Moreover, Board members probably considered that Elon would work for no comp over 5-10 years if he failed.\n\n---\n\nBut, Elon did not fail. He succeeded spectacularly and should be rewarded accordingly. If shareholders renege on Elon’s pay package after 73% voted for it in 2018, the public equity market will lose access to one of the most innovative companies in the world, depriving retail investors.\n\n---\n\nHow can shareholders renege on his pay package AFTER Elon and shareholders already have taken and overcome the risks associated with Tesla’s rise to producing the top selling car in the world? Unconscionably!\n\n(Disclaimer: An investment in Tesla is not necessarily representative of the composition or performance of any investment strategies managed by ARK Invest.)", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.016522436782445027, "ret_signed_m1d": -0.016522436782445027, "alpha_spy_m1d": -0.01654114641203419, "alpha_c_m1d": -0.009291110446088324, "bench_spy_m1d": 1.8709629589164223e-05, "bench_c_m1d": -0.007231326336356703, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.0025851787543875737, "ret_signed_p1d": -0.0025851787543875737, "alpha_spy_p1d": -0.0013694036366513895, "alpha_c_p1d": 0.0015069974983086265, "bench_spy_p1d": -0.0012157751177361842, "bench_c_p1d": -0.0040921762526962, "ret_p1w": 0.025458012347665093, "ret_signed_p1w": 0.025458012347665093, "alpha_spy_p1w": 0.010887888305159521, "alpha_c_p1w": 0.017834411846632703, "bench_spy_p1w": 0.014570124042505572, "bench_c_p1w": 0.00762360050103239, "ret_p1m": 0.4135101765848508, "ret_signed_p1m": 0.4135101765848508, "alpha_spy_p1m": 0.37279381293232894, "alpha_c_p1m": 0.35006926764299173, "bench_spy_p1m": 0.04071636365252185, "bench_c_p1m": 0.06344090894185905, "ret_p3m": 0.18354503323593008, "ret_signed_p3m": 0.18354503323593008, "alpha_spy_p3m": 0.1476322500452225, "alpha_c_p3m": 0.14678842213331866, "bench_spy_p3m": 0.035912783190707565, "bench_c_p3m": 0.036756611102611414, "ret_p6m": 0.9397549675529924, "ret_signed_p6m": 0.9397549675529924, "alpha_spy_p6m": 0.8056735764546132, "alpha_c_p6m": 0.6883512392436444, "bench_spy_p6m": 0.13408139109837913, "bench_c_p6m": 0.251403728309348, "price_path": [-0.001, -0.0022, -0.0475, -0.0868, -0.0808, -0.0233, -0.0372, -0.0128, -0.0288, -0.04, -0.0298, -0.0015, 0.0106, -0.0121, -0.0121, -0.0153, -0.0636, -0.0537, -0.0384, -0.0733, -0.0279, -0.006, -0.0347, -0.0188, -0.0387, -0.0925, -0.1171, -0.1264, -0.1574, -0.1736, -0.2017, -0.1869, -0.0889, -0.0436, -0.0542, 0.0905, 0.03, 0.0115, 0.0116, 0.0183, 0.0383, -0.0007, -0.0181, -0.0336, -0.0532, -0.034, -0.0022, -0.0222, -0.0174, -0.0027, -0.0168, 0.0487, 0.0122, -0.0236, 0.0073, 0.0073, -0.0067, -0.0098, 0.0048, 0.0008, -0.0093, -0.0178, -0.0165, 0.0, -0.0026, -0.0233, -0.0409, -0.0037, 0.0255, 0.0004, 0.0534, 0.0389, 0.0389, 0.0204, 0.0285, 0.0261, 0.0529, 0.1036, 0.1095, 0.1121, 0.1794, 0.2997, 0.3847, 0.3847, 0.4135, 0.4215, 0.4743, 0.4795, 0.3546, 0.395, 0.4198, 0.4418, 0.3965, 0.4006, 0.3443, 0.4135, 0.3846, 0.2138, 0.2378, 0.2352, 0.3044, 0.2511, 0.3042, 0.2187, 0.1671, 0.1177, 0.1276, 0.0777, 0.1175, 0.124, 0.1099, 0.168, 0.1317, 0.2034, 0.2146, 0.2517, 0.2426, 0.2547, 0.1839, 0.2382, 0.1982, 0.1757, 0.1563, 0.1593, 0.2033, 0.2033, 0.1835, 0.2331, 0.2935, 0.1843, 0.2154, 0.271, 0.2821, 0.2915, 0.2942, 0.2745, 0.2806, 0.2768, 0.3708, 0.3389, 0.405, 0.429, 0.4444, 0.4287, 0.4638, 0.4703, 0.45, 0.3995, 0.3525, 0.4054, 0.3534, 0.3741, 0.3547, 0.3419, 0.224, 0.2317, 0.234, 0.2438, 0.2414, 0.2403, 0.2299, 0.225, 0.2007, 0.4639, 0.5128, 0.4753, 0.4585, 0.4474, 0.4041, 0.3992, 0.3647, 0.4131, 0.6215, 0.6686, 0.8052, 0.967, 0.8461, 0.8559, 0.7488, 0.8024, 0.9037, 0.9445, 0.9222, 0.9087, 0.9813, 0.9028, 0.9008, 0.8708, 0.8708, 0.9398]}
{"unit_id": "thread:1307697225594744835", "ticker_idx": 0, "ts": "2020-09-20T15:04:49+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "other companies focused on EVs are three to four years behind $TSLA in battery technology already. The question is whether these breakthroughs will help #Tesla pull away even faster", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish TSLA: battery tech lead of 3-4 years over rivals may widen further on manufacturing breakthroughs.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "self_thread", "lang": "en", "tweet_text": "Thank you for this detailed and thoughtful analysis! @ARKInvest is debating whether these advancements will keep Tesla on pace with Wright’s Law: an 18% decline in the cost of EV’s battery pack systems for every cumulative doubling in EV demand, or\n\n---\n\nAre they more fundamental breakthroughs? Would a 90%+ decline in each of the three important variables - assembly line labor costs, cell cost saving per unit of energy, and factory floor space - change the slope of the line, accelerating the decline in costs from 18%?\n\n---\n\nAccording to @skorusARK research, other companies focused on EVs are three to four years behind $TSLA in battery technology already. The question is whether these breakthroughs will help #Tesla pull away even faster.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.016110706713629797, "ret_signed_m1d": -0.016110706713629797, "alpha_spy_m1d": -0.027365425630599183, "alpha_c_m1d": -0.03076694211311992, "bench_spy_m1d": 0.011254718916969386, "bench_c_m1d": 0.014656235399490125, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.055986946823462835, "ret_signed_p1d": -0.055986946823462835, "alpha_spy_p1d": -0.06617076584419967, "alpha_c_p1d": -0.07711648339130939, "bench_spy_p1d": 0.01018381902073684, "bench_c_p1d": 0.021129536567846552, "ret_p1w": -0.06272948538434164, "ret_signed_p1w": -0.06272948538434164, "alpha_spy_p1w": -0.08481100627967675, "alpha_c_p1w": -0.10103085545730006, "bench_spy_p1w": 0.022081520895335105, "bench_c_p1w": 0.03830137007295842, "ret_p1m": -0.06108276254207723, "ret_signed_p1m": -0.06108276254207723, "alpha_spy_p1m": -0.11127067345561048, "alpha_c_p1m": -0.1364841054114615, "bench_spy_p1m": 0.05018791091353325, "bench_c_p1m": 0.07540134286938427, "ret_p3m": 0.45953407298345716, "ret_signed_p3m": 0.45953407298345716, "alpha_spy_p3m": 0.3210813964687269, "alpha_c_p3m": 0.32343033248076125, "bench_spy_p3m": 0.13845267651473026, "bench_c_p3m": 0.1361037405026959, "ret_p6m": 0.5062195721454275, "ret_signed_p6m": 0.5062195721454275, "alpha_spy_p6m": 0.29021324340493493, "alpha_c_p6m": 0.32206275785298066, "bench_spy_p6m": 0.21600632874049253, "bench_c_p6m": 0.1841568142924468, "price_path": [-0.5724, -0.5612, -0.5729, -0.5508, -0.5194, -0.5017, -0.4621, -0.4621, -0.3896, -0.3814, -0.3921, -0.3795, -0.3126, -0.3337, -0.325, -0.312, -0.3321, -0.3321, -0.2688, -0.302, -0.2913, -0.3266, -0.3694, -0.3148, -0.3429, -0.3328, -0.338, -0.3632, -0.3391, -0.3382, -0.3391, -0.3371, -0.3535, -0.3687, -0.3883, -0.3081, -0.2786, -0.2654, -0.1831, -0.1602, -0.164, -0.1091, -0.0877, -0.1036, -0.0995, -0.0417, -0.0036, -0.0149, 0.1089, 0.0571, -0.0045, -0.0943, -0.0691, -0.0691, -0.2652, -0.1849, -0.1737, -0.1706, -0.0662, 0.0008, -0.017, -0.0578, -0.0161, 0.0, -0.056, -0.1536, -0.1371, -0.0936, -0.0627, -0.0675, -0.0454, -0.0027, -0.0763, -0.0528, -0.0788, -0.0536, -0.0522, -0.0342, -0.0158, -0.0061, 0.0265, -0.0011, -0.0216, -0.0413, -0.0611, -0.0595, -0.0525, -0.064, -0.0648, -0.055, -0.0965, -0.0858, -0.1365, -0.1088, -0.0567, -0.0632, -0.0251, -0.0433, -0.0626, -0.0869, -0.0718, -0.0837, -0.091, -0.0919, -0.0173, 0.0829, 0.111, 0.0895, 0.1612, 0.2359, 0.2773, 0.2773, 0.3035, 0.263, 0.3012, 0.2658, 0.3204, 0.333, 0.4281, 0.4461, 0.3451, 0.3954, 0.3574, 0.4238, 0.4091, 0.3858, 0.4595, 0.5465, 0.4461, 0.4249, 0.4375, 0.4726, 0.4726, 0.4769, 0.482, 0.5461, 0.5703, 0.5703, 0.6239, 0.6358, 0.6822, 0.8159, 0.9583, 0.8051, 0.8902, 0.9013, 0.8803, 0.8384, 0.8384, 0.8793, 0.8925, 0.8803, 0.884, 0.96, 0.9651, 0.923, 0.859, 0.7658, 0.8688, 0.9422, 0.9019, 0.8914, 0.8964, 0.9213, 0.8903, 0.7909, 0.8061, 0.8161, 0.8161, 0.7718, 0.7761, 0.7521, 0.7386, 0.5899, 0.5551, 0.6512, 0.5181, 0.5031, 0.5987, 0.5275, 0.4535, 0.3829, 0.3306, 0.2528, 0.4989, 0.4866, 0.5568, 0.5437, 0.5753, 0.5062]}
{"unit_id": "quote:983091477873078272", "ticker_idx": 0, "ts": "2018-04-08T21:17:27+00:00", "symbol": "CRM", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "When @Benioff at $CRM puts his mind to something, I pay attention. Looking forward to exciting #BlockchainTechnology announcements", "tweet_type": "prediction", "timeline": "months", "summary": "Bullish CRM ahead of DreamForce blockchain announcements; Cathie Wood signals attention/interest in the name.", "resolved_tickers": ["CRM"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": "Software - Application", "unit_kind": "quote", "lang": "en", "tweet_text": "When @Benioff at $CRM puts his mind to something, I pay attention.  Looking forward to exciting #BlockchainTechnology announcements at https://t.co/68LMYgWAl0’s DreamForce convention in September! https://t.co/UkFQajnI9s", "reply_text": null, "parent_text": null, "quoted_text": "Salesforce is working on a blockchain product https://t.co/OSIkRoxdpo by @ron_miller https://t.co/FkBEMtYly9", "parent_author": null, "ret_m1d": -0.009301181999614716, "ret_signed_m1d": -0.009301181999614716, "alpha_spy_m1d": -0.004396728634494029, "alpha_c_m1d": -0.004396728634494029, "bench_spy_m1d": -0.004904453365120687, "bench_c_m1d": -0.004904453365120687, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.01962620613081878, "ret_signed_p1d": 0.01962620613081878, "alpha_spy_p1d": 0.0037261790988674104, "alpha_c_p1d": 0.0037261790988674104, "bench_spy_p1d": 0.01590002703195137, "bench_c_p1d": 0.01590002703195137, "ret_p1w": 0.0189436226902282, "ret_signed_p1w": 0.0189436226902282, "alpha_spy_p1w": -0.005309052354887989, "alpha_c_p1w": -0.005309052354887989, "bench_spy_p1w": 0.02425267504511619, "bench_c_p1w": 0.02425267504511619, "ret_p1m": 0.09864324898355648, "ret_signed_p1m": 0.09864324898355648, "alpha_spy_p1m": 0.07596154974689484, "alpha_c_p1m": 0.07596154974689484, "bench_spy_p1m": 0.022681699236661634, "bench_c_p1m": 0.022681699236661634, "ret_p3m": 0.1926786468769215, "ret_signed_p3m": 0.1926786468769215, "alpha_spy_p3m": 0.14158170934692738, "alpha_c_p3m": 0.14158170934692738, "bench_spy_p3m": 0.05109693752999411, "bench_c_p3m": 0.05109693752999411, "ret_p6m": 0.34192350467787325, "ret_signed_p6m": 0.34192350467787325, "alpha_spy_p6m": 0.2147399601102833, "alpha_c_p6m": 0.2147399601102833, "bench_spy_p6m": 0.12718354456758996, "bench_c_p6m": 0.12718354456758996, "price_path": [-0.0716, -0.069, -0.0593, -0.0593, -0.0708, -0.061, -0.0462, -0.0449, -0.0367, -0.0337, -0.037, -0.0446, -0.0298, -0.0332, -0.0423, -0.028, -0.038, -0.0547, -0.0814, -0.065, -0.0609, -0.1123, -0.0871, -0.0737, -0.0811, -0.0697, -0.0347, -0.0369, -0.0369, -0.0242, -0.0231, -0.0358, -0.019, -0.0046, -0.0061, -0.008, 0.0191, 0.0404, 0.0453, 0.0622, 0.0695, 0.0782, 0.0872, 0.0818, 0.0814, 0.0922, 0.0856, 0.0749, 0.0665, 0.0677, 0.0385, 0.0073, -0.0236, 0.0152, -0.0288, -0.0368, -0.0076, -0.0076, -0.0161, -0.006, 0.0195, 0.0158, -0.0093, 0.0, 0.0196, 0.0168, 0.0359, 0.0155, 0.0189, 0.0526, 0.062, 0.0586, 0.048, 0.0401, 0.0059, 0.0011, 0.0311, 0.0259, 0.0324, 0.0505, 0.048, 0.0616, 0.0677, 0.0835, 0.0986, 0.107, 0.1146, 0.1147, 0.0896, 0.0934, 0.0988, 0.0756, 0.0834, 0.0783, 0.0704, 0.093, 0.0986, 0.0919, 0.0919, 0.0827, 0.1033, 0.1036, 0.1137, 0.1319, 0.1445, 0.1567, 0.1341, 0.1394, 0.1433, 0.1627, 0.1648, 0.1811, 0.1811, 0.1929, 0.1905, 0.1856, 0.1766, 0.1521, 0.1365, 0.1561, 0.1368, 0.153, 0.1639, 0.1983, 0.1762, 0.1762, 0.1927, 0.2066, 0.2097, 0.2155, 0.2394, 0.2643, 0.2596, 0.254, 0.2545, 0.2615, 0.2557, 0.2533, 0.2592, 0.2458, 0.2703, 0.2592, 0.228, 0.1778, 0.1703, 0.1748, 0.2044, 0.2035, 0.2178, 0.2325, 0.2388, 0.2443, 0.2417, 0.2326, 0.2507, 0.2376, 0.2435, 0.2375, 0.2434, 0.2418, 0.2498, 0.2615, 0.2996, 0.2943, 0.3055, 0.3209, 0.2982, 0.3028, 0.3028, 0.3074, 0.2685, 0.27, 0.2836, 0.2912, 0.3042, 0.3258, 0.3498, 0.3439, 0.322, 0.3312, 0.3047, 0.3269, 0.3271, 0.3549, 0.3557, 0.3511, 0.369, 0.357, 0.3641, 0.3419]}
{"unit_id": "quote:871836654788640769", "ticker_idx": 0, "ts": "2017-06-05T21:10:31+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "#Bitcoin is winning at the margin. At the margin is all important in making markets.", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bitcoin gaining marginal adoption is what drives markets; implied bullish.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "#Bitcoin is winning at the margin.  At the margin is all important in making markets. https://t.co/Uw54wfmG6E", "reply_text": null, "parent_text": null, "quoted_text": "The bar is pretty low to compare with Bieber but love that #Bitcoin is passing the masses. Via @sytaylor https://t.co/kDB222Ss16", "parent_author": null, "ret_m1d": -0.07379010999735214, "ret_signed_m1d": -0.07379010999735214, "alpha_spy_m1d": -0.07452783357811765, "alpha_c_m1d": null, "bench_spy_m1d": 0.0007377235807655147, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.06565030230326219, "ret_signed_p1d": 0.06565030230326219, "alpha_spy_p1d": 0.06884705640605182, "alpha_c_p1d": null, "bench_spy_p1d": -0.003196754102789634, "bench_c_p1d": null, "ret_p1w": -0.010116150821422698, "ret_signed_p1w": -0.010116150821422698, "alpha_spy_p1w": -0.007534226469931071, "alpha_c_p1w": null, "bench_spy_p1w": -0.002581924351491627, "bench_c_p1w": null, "ret_p1m": -0.03169936249985683, "ret_signed_p1m": -0.03169936249985683, "alpha_spy_p1m": -0.02924501982930905, "alpha_c_p1m": null, "bench_spy_p1m": -0.002454342670547782, "bench_c_p1m": null, "ret_p3m": 0.7505480603941383, "ret_signed_p3m": 0.7505480603941383, "alpha_spy_p3m": 0.7312564697578114, "alpha_c_p3m": null, "bench_spy_p3m": 0.019291590636326905, "bench_c_p3m": null, "ret_p6m": 2.7437703392967707, "ret_signed_p6m": 2.7437703392967707, "alpha_spy_p6m": 2.65576328415242, "alpha_c_p6m": null, "bench_spy_p6m": 0.08800705514435081, "bench_c_p6m": null, "price_path": [-0.572, -0.5577, -0.5844, -0.5415, -0.5385, -0.5349, -0.5579, -0.5905, -0.6076, -0.5829, -0.6095, -0.6134, -0.6511, -0.6108, -0.6103, -0.6129, -0.618, -0.6011, -0.5743, -0.5782, -0.5814, -0.5598, -0.562, -0.5582, -0.5515, -0.5532, -0.5648, -0.5655, -0.5556, -0.549, -0.5495, -0.5426, -0.5452, -0.5347, -0.529, -0.5232, -0.5096, -0.51, -0.4709, -0.4593, -0.4454, -0.4277, -0.4211, -0.3586, -0.3467, -0.3349, -0.312, -0.3583, -0.353, -0.3545, -0.3155, -0.2971, -0.2602, -0.1911, -0.1364, -0.0905, -0.1421, -0.1803, -0.1605, -0.1903, -0.149, -0.1038, -0.0738, 0.0, 0.0657, 0.0169, 0.0442, 0.051, -0.0101, 0.0112, -0.0672, -0.0827, -0.0626, -0.0362, 0.013, 0.0009, 0.0069, 0.0216, -0.0775, -0.05, -0.0417, -0.0549, -0.0767, -0.0457, -0.0317, -0.0316, -0.0291, -0.0626, -0.117, -0.1299, -0.1072, -0.1224, -0.1688, -0.1706, -0.1369, -0.1539, 0.0487, -0.0071, 0.0253, -0.0411, -0.0586, -0.0056, 0.0455, 0.0702, 0.0117, 0.0089, 0.0439, 0.0778, 0.2576, 0.2729, 0.244, 0.2585, 0.3587, 0.6098, 0.5565, 0.6289, 0.6122, 0.5485, 0.4894, 0.5262, 0.5451, 0.6133, 0.6271, 0.6312, 0.7043, 0.6992, 0.7505, 0.8208, 0.5767, 0.6289, 0.711, 0.712, 0.5739, 0.5488, 0.5374, 0.4451, 0.1742, 0.3538, 0.513, 0.4608, 0.4537, 0.3514, 0.3513, 0.4612, 0.4487, 0.5634, 0.5538, 0.5494, 0.6411, 0.6069, 0.5741, 0.611, 0.6268, 0.7761, 0.7798, 0.7964, 1.0273, 1.1018, 1.131, 1.0863, 1.0808, 1.1246, 1.2374, 1.2072, 1.057, 1.1404, 1.1977, 1.1516, 1.2817, 1.4075, 1.5187, 1.6345, 1.6826, 1.6138, 1.6591, 1.7764, 1.6588, 1.4632, 1.4414, 1.4698, 1.7228, 1.9298, 1.8692, 2.0522, 2.004, 2.0719, 1.9919, 2.0719, 2.6543, 2.7438]}
{"unit_id": "quote:1572233508872912898", "ticker_idx": 0, "ts": "2022-09-20T14:37:33+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Tesla should become a prime example as autonomous mobility takes off", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish TSLA: hardware as distribution channel for high-margin recurring software via autonomous mobility.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "Tesla should become a prime example as autonomous mobility takes off.", "reply_text": null, "parent_text": null, "quoted_text": "Low margin but high quality hardware has become a distribution channel for high margin recurring software. \n\nSimilar to the old model of Kuerigs &amp; K-Pods, razors &amp; razor blades, etc.", "parent_author": null, "ret_m1d": 0.001101274012216713, "ret_signed_m1d": 0.001101274012216713, "alpha_spy_m1d": -0.010510892530888771, "alpha_c_m1d": -0.016145586232253484, "bench_spy_m1d": 0.011612166543105484, "bench_c_m1d": 0.017246860244470197, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.025685948599634356, "ret_signed_p1d": -0.025685948599634356, "alpha_spy_p1d": -0.008242095650053294, "alpha_c_p1d": -0.002011240024318739, "bench_spy_p1d": -0.017443852949581062, "bench_c_p1d": -0.023674708575315617, "ret_p1w": -0.08353580030178531, "ret_signed_p1w": -0.08353580030178531, "alpha_spy_p1w": -0.02961626425223829, "alpha_c_p1w": -0.016203290797490055, "bench_spy_p1w": -0.05391953604954702, "bench_c_p1w": -0.06733250950429526, "ret_p1m": -0.2807955644585337, "ret_signed_p1m": -0.2807955644585337, "alpha_spy_p1m": -0.24020631101430845, "alpha_c_p1m": -0.17877805745755504, "bench_spy_p1m": -0.04058925344422526, "bench_c_p1m": -0.10201750700097867, "ret_p3m": -0.5133936113059255, "ret_signed_p3m": -0.5133936113059255, "alpha_spy_p3m": -0.5158411877423156, "alpha_c_p3m": -0.3656177595326946, "bench_spy_p3m": 0.002447576436390042, "bench_c_p3m": -0.14777585177323094, "ret_p6m": -0.4155087276039605, "ret_signed_p6m": -0.4155087276039605, "alpha_spy_p6m": -0.433675379949524, "alpha_c_p6m": -0.31295302255450774, "bench_spy_p6m": 0.018166652345563472, "bench_c_p6m": -0.10255570504945277, "price_path": [-0.2386, -0.2041, -0.2067, -0.2464, -0.2599, -0.2729, -0.2639, -0.2639, -0.2451, -0.2494, -0.2079, -0.1878, -0.2409, -0.2451, -0.2322, -0.2281, -0.2224, -0.2209, -0.2047, -0.1983, -0.1199, -0.1182, -0.1305, -0.1615, -0.1098, -0.0901, -0.0375, -0.0371, -0.0264, -0.0043, -0.0003, -0.0666, -0.0593, -0.0823, -0.0466, -0.0716, -0.0282, 0.0019, -0.007, -0.0153, -0.019, -0.0391, -0.0609, -0.0398, -0.0377, -0.041, -0.0669, -0.0774, -0.1005, -0.1073, -0.1023, -0.1248, -0.1248, -0.1111, -0.0811, -0.0631, -0.0293, -0.014, -0.0538, -0.0198, -0.0161, -0.0174, 0.0011, 0.0, -0.0257, -0.0652, -0.1082, -0.106, -0.0835, -0.0678, -0.1312, -0.1408, -0.2148, -0.192, -0.22, -0.2287, -0.2775, -0.2778, -0.2987, -0.2963, -0.2818, -0.336, -0.2895, -0.2868, -0.2808, -0.3286, -0.3054, -0.3157, -0.2796, -0.2724, -0.2709, -0.2598, -0.263, -0.2621, -0.3037, -0.3026, -0.328, -0.3616, -0.3804, -0.4248, -0.3822, -0.3652, -0.3815, -0.3703, -0.3946, -0.4067, -0.4164, -0.4563, -0.4496, -0.4066, -0.4066, -0.4077, -0.4075, -0.4143, -0.3694, -0.3694, -0.3688, -0.409, -0.4175, -0.4363, -0.4382, -0.42, -0.4564, -0.4787, -0.4921, -0.4893, -0.5134, -0.5146, -0.5537, -0.5544, -0.594, -0.6011, -0.6011, -0.6466, -0.6349, -0.6054, -0.601, -0.601, -0.6499, -0.6319, -0.6426, -0.6338, -0.6121, -0.615, -0.6009, -0.5998, -0.6035, -0.6035, -0.5741, -0.5829, -0.5881, -0.5678, -0.5344, -0.5339, -0.5322, -0.4809, -0.4238, -0.4602, -0.4389, -0.4124, -0.3902, -0.3846, -0.3692, -0.3625, -0.348, -0.3285, -0.3623, -0.3695, -0.3222, -0.3061, -0.3456, -0.3253, -0.3253, -0.3607, -0.3494, -0.3455, -0.3623, -0.3275, -0.3337, -0.3432, -0.3817, -0.3593, -0.3722, -0.392, -0.4105, -0.4399, -0.4382, -0.4348, -0.4064, -0.4155]}
{"unit_id": "quote:1279057079039332353", "ticker_idx": 0, "ts": "2020-07-03T14:19:06+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "enjoy a $10,000++ in free cash flow per year once the network goes #autonomous. Entrepreneurial America at its best!", "tweet_type": "prediction", "timeline": "years", "summary": "Bullish TSLA on autonomous ride-hailing network economics enabling owner cash flows of $10K+/year.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "Hopefully, enterprising people will be able to put $5,000 down for a Model 3, work the balance of the cost off by driving for a $TSLA ride-hailing network, and enjoy a $10,000++ in free cash flow per year once the network goes #autonomous. Entrepreneurial America at its best!", "reply_text": null, "parent_text": null, "quoted_text": "While this is just on paper, it is illustrative of what could happen if/when Tesla reaches full autonomous capability.\n\nFleet operators who will maximize autonomous vehicle utilization could go around to existing owners offering far more than the vehicles originally cost. https://t.co/bVTxEFEnz9", "parent_author": null, "ret_m1d": 0.0, "ret_signed_m1d": 0.0, "alpha_spy_m1d": 0.0, "alpha_c_m1d": 0.0, "bench_spy_m1d": 0.0, "bench_c_m1d": 0.0, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.1347939370342961, "ret_signed_p1d": 0.1347939370342961, "alpha_spy_p1d": 0.11935665463963674, "alpha_c_p1d": 0.1110890403306175, "bench_spy_p1d": 0.015437282394659357, "bench_c_p1d": 0.02370489670367859, "ret_p1w": 0.27798559892257035, "ret_signed_p1w": 0.27798559892257035, "alpha_spy_p1w": 0.2608188539358893, "alpha_c_p1w": 0.24864377733774568, "bench_spy_p1w": 0.017166744986681026, "bench_c_p1w": 0.02934182158482468, "ret_p1m": 0.2286333898660713, "ret_signed_p1m": 0.2286333898660713, "alpha_spy_p1m": 0.1755954078526092, "alpha_c_p1m": 0.17303869071265887, "bench_spy_p1m": 0.053037982013462104, "bench_c_p1m": 0.05559469915341242, "ret_p3m": 0.7747339565316522, "ret_signed_p3m": 0.7747339565316522, "alpha_spy_p3m": 0.6978658706900935, "alpha_c_p3m": 0.6374217388591363, "bench_spy_p3m": 0.07686808584155869, "bench_c_p3m": 0.1373122176725159, "ret_p6m": 1.7455612079877048, "ret_signed_p6m": 1.7455612079877048, "alpha_spy_p6m": 1.5437149164236226, "alpha_c_p6m": 1.5076879631564695, "bench_spy_p6m": 0.20184629156408218, "bench_c_p6m": 0.2378732448312353, "price_path": [-0.5487, -0.5459, -0.5259, -0.5259, -0.4614, -0.4127, -0.3962, -0.3834, -0.3763, -0.3825, -0.4318, -0.3943, -0.4162, -0.4, -0.3391, -0.3637, -0.3377, -0.3531, -0.4198, -0.3702, -0.3644, -0.3525, -0.3546, -0.322, -0.3288, -0.3303, -0.3456, -0.3354, -0.3388, -0.3268, -0.3315, -0.3252, -0.3153, -0.3241, -0.3241, -0.3225, -0.3214, -0.3333, -0.3092, -0.2569, -0.2706, -0.2695, -0.2848, -0.2672, -0.2141, -0.2217, -0.1519, -0.1951, -0.2262, -0.1802, -0.1874, -0.1794, -0.1694, -0.1719, -0.1773, -0.1712, -0.205, -0.1842, -0.2059, -0.1649, -0.1066, -0.0737, 0.0, 0.0, 0.1348, 0.1499, 0.1301, 0.1536, 0.278, 0.2386, 0.2549, 0.2791, 0.2416, 0.2417, 0.3594, 0.2976, 0.3174, 0.2519, 0.1724, 0.2738, 0.2216, 0.2403, 0.2307, 0.1838, 0.2286, 0.2303, 0.2286, 0.2324, 0.2019, 0.1737, 0.1371, 0.2864, 0.3412, 0.3657, 0.5187, 0.5613, 0.5542, 0.6562, 0.6961, 0.6665, 0.674, 0.7815, 0.8523, 0.8313, 1.0615, 0.9652, 0.8507, 0.6837, 0.7305, 0.7305, 0.366, 0.5152, 0.5362, 0.5419, 0.7359, 0.8606, 0.8275, 0.7517, 0.8291, 0.859, 0.755, 0.5735, 0.6042, 0.6851, 0.7424, 0.7336, 0.7747, 0.854, 0.7171, 0.761, 0.7126, 0.7594, 0.762, 0.7954, 0.8297, 0.8477, 0.9083, 0.8569, 0.8188, 0.7823, 0.7455, 0.7484, 0.7614, 0.7401, 0.7386, 0.7568, 0.6796, 0.6995, 0.6052, 0.6568, 0.7536, 0.7415, 0.8123, 0.7786, 0.7427, 0.6976, 0.7256, 0.7034, 0.6899, 0.6882, 0.8269, 1.0131, 1.0654, 1.0254, 1.1588, 1.2975, 1.3745, 1.3745, 1.4232, 1.3481, 1.419, 1.3531, 1.4547, 1.4781, 1.6548, 1.6884, 1.5006, 1.5941, 1.5234, 1.6469, 1.6196, 1.5763, 1.7133, 1.8751, 1.6883, 1.649, 1.6723, 1.7376, 1.7376, 1.7456]}
{"unit_id": "quote:931916332492140544", "ticker_idx": 0, "ts": "2017-11-18T16:05:42+00:00", "symbol": "INDU", "kind": "index", "geography": "US", "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "this bull market is intact and gathering momentum", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bull market intact and gaining momentum; low intraday volatility seen as climbing the wall of worry.", "resolved_tickers": ["DIA"], "resolution_method": "etf", "resolution_reason": "INDU = Dow Jones Industrial Average; DIA is ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Five of the top 10 week's without a 1% intraday move in $INDU have taken place in the last two years.  Climbing the \"wall of worry\", this bull market is intact and gathering momentum. https://t.co/p9hJuSE4P8", "reply_text": null, "parent_text": null, "quoted_text": "Dow completes another week without a 1% intraday move, extending the longest streak in history to 65 trading days. https://t.co/qRYYxc908e", "parent_author": null, "ret_m1d": -0.0032461579519970085, "ret_signed_m1d": -0.0032461579519970085, "alpha_spy_m1d": -0.001542661804764034, "alpha_c_m1d": -0.001542661804764034, "bench_spy_m1d": -0.0017034961472329746, "bench_c_m1d": -0.0017034961472329746, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.006747339482201076, "ret_signed_p1d": 0.006747339482201076, "alpha_spy_p1d": 0.00020461095251289585, "alpha_c_p1d": 0.00020461095251289585, "bench_spy_p1d": 0.00654272852968818, "bench_c_p1d": 0.00654272852968818, "ret_p1w": 0.006747339482201076, "ret_signed_p1w": 0.006747339482201076, "alpha_spy_p1w": -0.000724715949288246, "alpha_c_p1w": -0.000724715949288246, "bench_spy_p1w": 0.007472055431489322, "bench_c_p1w": 0.007472055431489322, "ret_p1m": 0.05900652023540198, "ret_signed_p1m": 0.05900652023540198, "alpha_spy_p1m": 0.019379727017653448, "alpha_c_p1m": 0.019379727017653448, "bench_spy_p1m": 0.039626793217748535, "bench_c_p1m": 0.039626793217748535, "ret_p3m": 0.08143574449941915, "ret_signed_p3m": 0.08143574449941915, "alpha_spy_p3m": 0.019006240043291323, "alpha_c_p3m": 0.019006240043291323, "bench_spy_p3m": 0.06242950445612783, "bench_c_p3m": 0.06242950445612783, "ret_p6m": 0.06443001656582381, "ret_signed_p6m": 0.06443001656582381, "alpha_spy_p6m": 0.005285806833688067, "alpha_c_p6m": 0.005285806833688067, "bench_spy_p6m": 0.059144209732135744, "bench_c_p6m": 0.059144209732135744, "price_path": [-0.0742, -0.0753, -0.0737, -0.0741, -0.0713, -0.0699, -0.0674, -0.0657, -0.0657, -0.0752, -0.0728, -0.0734, -0.0728, -0.0621, -0.0593, -0.0579, -0.0555, -0.053, -0.05, -0.0482, -0.0468, -0.0486, -0.0498, -0.0514, -0.052, -0.0501, -0.0481, -0.0472, -0.0411, -0.0369, -0.0361, -0.0309, -0.0313, -0.0314, -0.0283, -0.0268, -0.028, -0.0263, -0.0232, -0.0215, -0.0146, -0.0138, -0.0067, -0.0088, -0.0018, -0.0066, -0.0037, -0.0023, -0.0059, -0.0046, -0.0022, 0.0011, 0.002, 0.003, 0.003, 0.0032, 0.0, -0.0012, -0.0002, -0.0018, -0.0075, 0.0008, -0.0032, 0.0, 0.0067, 0.0044, 0.0044, 0.0056, 0.0067, 0.0179, 0.0225, 0.0371, 0.0354, 0.0383, 0.0336, 0.0319, 0.0351, 0.0404, 0.0428, 0.0482, 0.0519, 0.0488, 0.0541, 0.0607, 0.059, 0.0576, 0.0601, 0.059, 0.059, 0.0584, 0.0593, 0.0621, 0.0589, 0.0589, 0.0617, 0.0656, 0.0727, 0.0818, 0.0812, 0.0865, 0.0856, 0.0941, 0.104, 0.104, 0.1036, 0.1176, 0.1136, 0.1159, 0.122, 0.1216, 0.1246, 0.1296, 0.1389, 0.1314, 0.1162, 0.1197, 0.1205, 0.0918, 0.0419, 0.0663, 0.0654, 0.0222, 0.0366, 0.0543, 0.056, 0.0677, 0.0814, 0.0819, 0.0819, 0.0707, 0.0637, 0.0713, 0.086, 0.1032, 0.0905, 0.0743, 0.0562, 0.0535, 0.0685, 0.0685, 0.0654, 0.0698, 0.0888, 0.0819, 0.0744, 0.0644, 0.0692, 0.0716, 0.0578, 0.063, 0.0609, 0.0297, 0.0115, 0.0402, 0.0251, 0.025, 0.0384, 0.0384, 0.0159, 0.0331, 0.043, 0.0535, 0.0287, 0.0313, 0.0497, 0.0405, 0.0531, 0.0478, 0.0566, 0.066, 0.0642, 0.0607, 0.0522, 0.0517, 0.0334, 0.036, 0.0464, 0.0457, 0.0396, 0.0362, 0.0291, 0.0291, 0.0438, 0.0477, 0.0477, 0.0562, 0.0651, 0.0697, 0.0729, 0.0644]}
{"unit_id": "quote:2026069953971908894", "ticker_idx": 0, "ts": "2026-02-23T23:01:34+00:00", "symbol": "DASH", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "companies harnessing AI aggressively--like $DASH--could lower their costs, drop prices, and stimulate surprising growth in revenues and earnings", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish DASH: AI adoption could cut costs, drop prices, and drive surprising revenue/earnings growth.", "resolved_tickers": ["DASH"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Internet Retail'", "bench_c_industry": "Internet Retail", "unit_kind": "quote", "lang": "en", "tweet_text": "According to @ARKInvest's research since 2014, AI is likely to be the most disruptive innovation in history. As @GrousARK writes here, companies harnessing AI aggressively--like $DASH--could lower their costs, drop prices, and stimulate surprising growth in revenues and earnings.", "reply_text": null, "parent_text": null, "quoted_text": "@Citrini7 The DoorDash example is a silly one in an otherwise extremely great piece.\n\n“8) The agents making the purchasing decisions for the consumer use whichever marketplace offers the lowest price. Period, end of story.”\n\nThat sounds clean in theory. It is far messier in reality.\n\nWe", "parent_author": null, "ret_m1d": 0.07063032530892421, "ret_signed_m1d": 0.07063032530892421, "alpha_spy_m1d": 0.06031366392186066, "alpha_c_m1d": 0.04923720709989632, "bench_spy_m1d": 0.010316661387063553, "bench_c_m1d": 0.021393118209027895, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.0017004662520926361, "ret_signed_p1d": -0.0017004662520926361, "alpha_spy_p1d": -0.008968919182487656, "alpha_c_p1d": -0.01691917114639574, "bench_spy_p1d": 0.00726845293039502, "bench_c_p1d": 0.015218704894303103, "ret_p1w": 0.07135916275157861, "ret_signed_p1w": 0.07135916275157861, "alpha_spy_p1w": 0.065512077038687, "alpha_c_p1w": 0.06761970499023917, "bench_spy_p1w": 0.005847085712891609, "bench_c_p1w": 0.0037394577613394375, "ret_p1m": -0.060306132112976196, "ret_signed_p1m": -0.060306132112976196, "alpha_spy_p1m": -0.020114749788513464, "alpha_c_p1m": -0.016044269815410184, "bench_spy_p1m": -0.04019138232446273, "bench_c_p1m": -0.04426186229756601, "ret_p3m": -0.03273411435547513, "ret_signed_p3m": -0.03273411435547513, "alpha_spy_p3m": -0.1241163311932596, "alpha_c_p3m": -0.06707140203730311, "bench_spy_p3m": 0.09138221683778447, "bench_c_p3m": 0.03433728768182798, "ret_p6m": null, "ret_signed_p6m": null, "alpha_spy_p6m": null, "alpha_c_p6m": null, "bench_spy_p6m": null, "bench_c_p6m": null, "price_path": [0.1902, 0.1902, 0.2047, 0.2485, 0.3177, 0.3511, 0.3433, 0.3665, 0.3691, 0.3968, 0.3379, 0.3635, 0.3816, 0.3785, 0.3843, 0.344, 0.4025, 0.4226, 0.4265, 0.4132, 0.4093, 0.4093, 0.4208, 0.403, 0.3855, 0.3754, 0.3754, 0.3348, 0.3769, 0.3931, 0.4, 0.361, 0.3091, 0.3049, 0.3203, 0.2944, 0.276, 0.2469, 0.2469, 0.2491, 0.254, 0.2611, 0.2585, 0.2718, 0.2593, 0.2551, 0.2613, 0.2427, 0.2612, 0.2268, 0.1893, 0.1166, 0.1082, 0.1311, 0.1274, 0.0657, -0.0214, -0.0262, -0.0262, -0.0141, 0.053, 0.07, 0.0706, 0.0, -0.0017, 0.051, 0.0957, 0.0717, 0.0714, 0.0656, 0.0795, 0.1143, 0.0881, 0.0725, 0.032, 0.0293, -0.0177, -0.02, 0.0189, 0.0313, 0.002, -0.0328, -0.0487, -0.0284, -0.0603, -0.0713, -0.0771, -0.1097, -0.1011, -0.0881, -0.086, -0.0499, -0.0499, -0.0582, -0.0532, -0.0241, -0.0614, -0.0734, -0.0307, -0.0067, 0.0928, 0.0891, 0.1168, 0.1527, 0.108, 0.1069, 0.0749, 0.0736, 0.0571, 0.0444, 0.0284, 0.0242, 0.0679, 0.048, 0.009, 0.0201, 0.0406, -0.0044, -0.0445, -0.0575, -0.0947, -0.0666, -0.0332, -0.0121, -0.0608, -0.0239, -0.0327, -0.0268, -0.0268, -0.0647, -0.043, -0.0483, -0.0326, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null]}
{"unit_id": "quote:1644414254064234496", "ticker_idx": 0, "ts": "2023-04-07T18:58:04+00:00", "symbol": "S&P500", "kind": "index", "geography": "US", "sub_sector": null, "direction": "long", "conviction": "low", "explicit": false, "explicit_audit": "flipped_to_implicit", "polarity_reversed": false, "quote": "equity valuations will not succumb to last year's fears", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish US equities: discounting lower rates ahead, valuations will not repeat last year's selloff.", "resolved_tickers": ["SPY"], "resolution_method": "etf", "resolution_reason": "S&P 500 index; SPY ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "After the bear market last year, perhaps equities are beginning to discount much lower interest rates. Pointing to lower real growth and inflation, the fixed income market seems to be ahead of the Fed, suggesting that equity valuations will not succumb to last year’s fears.", "reply_text": null, "parent_text": null, "quoted_text": "The S&amp;P500 rally is blinding investors to the dangers of tightening lending standards\n\nIt’s a major economic warning signal\n\nA thread 🧵 https://t.co/rhqZfgt6Am", "parent_author": null, "ret_m1d": 0.0, "ret_signed_m1d": 0.0, "alpha_spy_m1d": 0.0, "alpha_c_m1d": 0.0, "bench_spy_m1d": 0.0, "bench_c_m1d": 0.0, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0010264340082914991, "ret_signed_p1d": 0.0010264340082914991, "alpha_spy_p1d": 0.0, "alpha_c_p1d": 0.0, "bench_spy_p1d": 0.0010264340082914991, "bench_c_p1d": 0.0010264340082914991, "ret_p1w": 0.007991366918072229, "ret_signed_p1w": 0.007991366918072229, "alpha_spy_p1w": 0.0, "alpha_c_p1w": 0.0, "bench_spy_p1w": 0.007991366918072229, "bench_c_p1w": 0.007991366918072229, "ret_p1m": 0.008675707924808318, "ret_signed_p1m": 0.008675707924808318, "alpha_spy_p1m": 0.0, "alpha_c_p1m": 0.0, "bench_spy_p1m": 0.008675707924808318, "bench_c_p1m": 0.008675707924808318, "ret_p3m": 0.08696695415705769, "ret_signed_p3m": 0.08696695415705769, "alpha_spy_p3m": 0.0, "alpha_c_p3m": 0.0, "bench_spy_p3m": 0.08696695415705769, "bench_c_p3m": 0.08696695415705769, "ret_p6m": 0.05185894298067639, "ret_signed_p6m": 0.05185894298067639, "alpha_spy_p6m": 0.0, "alpha_c_p6m": 0.0, "bench_spy_p6m": 0.05185894298067639, "bench_c_p6m": 0.05185894298067639, "price_path": [-0.0491, -0.0371, -0.0336, -0.0298, -0.0298, -0.0316, -0.0469, -0.0538, -0.0362, -0.0246, -0.0257, -0.0253, -0.0146, -0.0123, -0.0247, -0.0104, 0.0001, 0.0147, 0.0039, -0.0022, 0.0108, -0.0002, -0.0089, -0.0066, 0.0051, 0.0046, 0.0079, -0.006, -0.0085, -0.0085, -0.0284, -0.0297, -0.0246, -0.035, -0.0317, -0.0353, -0.039, -0.0315, -0.016, -0.0153, -0.0304, -0.0288, -0.0467, -0.0605, -0.0618, -0.0463, -0.0523, -0.0356, -0.0469, -0.0378, -0.0251, -0.0417, -0.0392, -0.0328, -0.031, -0.0332, -0.0192, -0.0134, 0.0005, 0.0043, -0.0013, -0.0039, 0.0, 0.0, 0.001, 0.0013, -0.0028, 0.0105, 0.008, 0.0116, 0.0123, 0.0121, 0.0066, 0.0074, 0.0084, -0.0076, -0.0118, 0.0079, 0.0165, 0.0154, 0.004, -0.0029, -0.0099, 0.0084, 0.0087, 0.0043, 0.0089, 0.0072, 0.0059, 0.0093, 0.0026, 0.0148, 0.0245, 0.023, 0.0235, 0.012, 0.0046, 0.0133, 0.0265, 0.0265, 0.0269, 0.0212, 0.0309, 0.0458, 0.0438, 0.046, 0.0424, 0.0487, 0.0506, 0.0601, 0.0671, 0.0684, 0.0816, 0.078, 0.078, 0.0724, 0.0669, 0.0707, 0.0626, 0.0583, 0.0699, 0.0704, 0.0747, 0.0873, 0.0886, 0.0886, 0.087, 0.0785, 0.0757, 0.0785, 0.0853, 0.0941, 0.1027, 0.1021, 0.1059, 0.1141, 0.1166, 0.1092, 0.1092, 0.1141, 0.1172, 0.1173, 0.1099, 0.1208, 0.1229, 0.1197, 0.1041, 0.101, 0.096, 0.1056, 0.1008, 0.0934, 0.0938, 0.0931, 0.0992, 0.0864, 0.0784, 0.0702, 0.0707, 0.0777, 0.0748, 0.0867, 0.0717, 0.0792, 0.0861, 0.1018, 0.1063, 0.1047, 0.1067, 0.1067, 0.102, 0.0945, 0.0912, 0.0928, 0.1, 0.094, 0.0953, 0.1047, 0.0914, 0.092, 0.0898, 0.0797, 0.0619, 0.0595, 0.064, 0.0483, 0.0488, 0.0548, 0.0523, 0.0519]}
{"unit_id": "quote:1005567673051308032", "ticker_idx": 0, "ts": "2018-06-09T21:49:50+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "The largest crypto asset, #bitcoin, will be a prime beneficiary", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish Bitcoin as prime beneficiary of Latin American currency contagion spreading from Venezuela to Argentina and Brazil.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Venezuela's problems have been contagious, with Argentina and now Brazil capitulating. The contagion will accelerate now that #cryptoassts are an effective hedge. The largest crypto asset, #bitcoin, will be a prime beneficiary. https://t.co/wc37JH3qBK", "reply_text": null, "parent_text": null, "quoted_text": "Impact for Bitcoin if Venezuela fully bitcoin-ized (ie it became the de facto unit of account) at the end of this blow-off:\n\nM2 velocity of 2 with $300b in GDP after the dust settles:\n~$150 billion in incremental network value\n\nBitcoin network value today: \n$130 billion\n\n🤔", "parent_author": null, "ret_m1d": 0.10395371715922352, "ret_signed_m1d": 0.10395371715922352, "alpha_spy_m1d": 0.10528209929887455, "alpha_c_m1d": null, "bench_spy_m1d": -0.0013283821396510298, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.04699056341537011, "ret_signed_p1d": -0.04699056341537011, "alpha_spy_p1d": -0.04828317903637547, "alpha_c_p1d": null, "bench_spy_p1d": 0.0012926156210053552, "bench_c_p1d": null, "ret_p1w": -0.024917054143220874, "ret_signed_p1w": -0.024917054143220874, "alpha_spy_p1w": -0.022195079504100046, "alpha_c_p1w": null, "bench_spy_p1w": -0.0027219746391208277, "bench_c_p1w": null, "ret_p1m": -0.08353502474166108, "ret_signed_p1m": -0.08353502474166108, "alpha_spy_p1m": -0.08925128306047592, "alpha_c_p1m": null, "bench_spy_p1m": 0.0057162583188148375, "bench_c_p1m": null, "ret_p3m": -0.054691527377293436, "ret_signed_p3m": -0.054691527377293436, "alpha_spy_p3m": -0.09379989100265718, "alpha_c_p3m": null, "bench_spy_p3m": 0.03910836362536374, "bench_c_p3m": null, "ret_p6m": -0.4271116729909966, "ret_signed_p6m": -0.4271116729909966, "alpha_spy_p6m": -0.4060474870289027, "alpha_c_p6m": null, "bench_spy_p6m": -0.021064185962093918, "bench_c_p6m": null, "price_path": [0.1973, 0.2018, 0.2072, 0.2496, 0.2905, 0.2928, 0.2637, 0.2856, 0.1886, 0.1341, 0.1517, 0.0375, -0.0024, 0.0256, 0.0795, -0.0077, -0.0138, -0.0392, -0.0197, -0.0104, 0.0089, 0.1422, 0.1432, 0.1668, 0.1441, 0.1819, 0.2009, 0.2807, 0.293, 0.404, 0.2807, 0.3438, 0.3012, 0.3379, 0.3203, 0.3372, 0.4107, 0.4045, 0.357, 0.337, 0.3501, 0.3094, 0.2222, 0.262, 0.2322, 0.2117, 0.1719, 0.1946, 0.2189, 0.1643, 0.0942, 0.0985, 0.083, 0.0332, 0.0819, 0.0723, 0.085, 0.0919, 0.088, 0.1052, 0.1082, 0.1117, 0.104, 0.0, -0.047, -0.0806, -0.0335, -0.0652, -0.0249, -0.0198, -0.0189, -0.0257, -0.1192, -0.0952, -0.1177, -0.1086, -0.1453, -0.0997, -0.0424, -0.0546, -0.0448, -0.0388, -0.0338, -0.0239, -0.0835, -0.0742, -0.0982, -0.0968, -0.0239, 0.06, 0.0672, 0.0811, 0.0647, 0.1164, 0.2197, 0.1845, 0.1512, 0.1821, 0.1844, 0.1265, 0.104, 0.0956, 0.0764, 0.0065, -0.0223, -0.087, -0.049, -0.1046, -0.0882, -0.1024, -0.0866, -0.0828, -0.0472, -0.0866, -0.0605, -0.0768, -0.0539, -0.0271, -0.0032, 0.0274, 0.0203, 0.0103, 0.0189, 0.0511, 0.0658, -0.0165, -0.0547, -0.0637, -0.0836, -0.0848, -0.0804, -0.0564, -0.0571, -0.0906, -0.0775, -0.0736, -0.0561, -0.0249, -0.0451, -0.0667, -0.0596, -0.0333, -0.038, -0.0459, -0.0508, -0.0585, -0.0478, -0.0412, -0.0369, -0.0383, -0.0465, -0.0942, -0.0916, -0.0449, -0.045, -0.0525, -0.0623, -0.0639, -0.0608, -0.0624, -0.0595, -0.0623, -0.0626, -0.0831, -0.0829, -0.0853, -0.0766, -0.0751, -0.0705, -0.0646, -0.0546, -0.0656, -0.0755, -0.0776, -0.0793, -0.1692, -0.1823, -0.1928, -0.2947, -0.3554, -0.3337, -0.3679, -0.3706, -0.4528, -0.4468, -0.3836, -0.3805, -0.4184, -0.4362, -0.4271]}
{"unit_id": "quote:876824771761250305", "ticker_idx": 0, "ts": "2017-06-19T15:31:30+00:00", "symbol": "AMZN", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Yes! #AmazonGo is a good case in point. And, I didn't know that $AMZN has made $1billion in small loans in the past year.", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish on AMZN becoming a fintech force, citing AmazonGo and $1B in small loans as evidence of growing financial services momentum.", "resolved_tickers": ["AMZN"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Internet Retail'", "bench_c_industry": "Internet Retail", "unit_kind": "quote", "lang": "en", "tweet_text": "Yes!  #AmazonGo is a good case in point. And, I didn't know that $AMZN has made $1billion in small loans in the past year. https://t.co/2ChspPxCOS", "reply_text": null, "parent_text": null, "quoted_text": "Will Amazon become a force in fintech? https://t.co/SIyaV4PtCT by @Katie_Roof", "parent_author": null, "ret_m1d": -0.0074961522220514665, "ret_signed_m1d": -0.0074961522220514665, "alpha_spy_m1d": 0.000760224471538562, "alpha_c_m1d": 9.964832114528477e-05, "bench_spy_m1d": -0.008256376693590028, "bench_c_m1d": -0.007595800543196751, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.0025924777666052057, "ret_signed_p1d": -0.0025924777666052057, "alpha_spy_p1d": 0.00415153490375586, "alpha_c_p1d": 0.009956839044387156, "bench_spy_p1d": -0.006744012670361066, "bench_c_p1d": -0.012549316810992361, "ret_p1w": -0.0011957320713786856, "ret_signed_p1w": -0.0011957320713786856, "alpha_spy_p1w": 0.004403808250121433, "alpha_c_p1w": 0.00981230565100355, "bench_spy_p1w": -0.005599540321500118, "bench_c_p1w": -0.011008037722382236, "ret_p1m": 0.029422123396912525, "ret_signed_p1m": 0.029422123396912525, "alpha_spy_p1m": 0.02533480395012999, "alpha_c_p1m": 0.029642123019718025, "bench_spy_p1m": 0.0040873194467825336, "bench_c_p1m": -0.00021999962280550012, "ret_p3m": -0.0029743423205282893, "ret_signed_p3m": -0.0029743423205282893, "alpha_spy_p3m": -0.025168516977744804, "alpha_c_p3m": 0.004071138733411805, "bench_spy_p3m": 0.022194174657216514, "bench_c_p3m": -0.007045481053940095, "ret_p6m": 0.1707347009619522, "ret_signed_p6m": 0.1707347009619522, "alpha_spy_p6m": 0.07491194630361342, "alpha_c_p6m": 0.09362121686189173, "bench_spy_p6m": 0.09582275465833878, "bench_c_p6m": 0.07711348410006047, "price_path": [-0.1478, -0.1485, -0.1503, -0.1491, -0.1398, -0.1214, -0.1194, -0.1092, -0.1042, -0.0888, -0.0863, -0.0974, -0.1008, -0.0886, -0.0933, -0.0994, -0.111, -0.111, -0.0936, -0.0918, -0.0964, -0.0936, -0.0971, -0.0882, -0.088, -0.0863, -0.0772, -0.0705, -0.0472, -0.0485, -0.0544, -0.0579, -0.0613, -0.0464, -0.0426, -0.0464, -0.0478, -0.034, -0.0374, -0.0292, -0.0507, -0.0369, -0.0355, -0.0246, -0.0237, -0.0149, -0.0018, 0.0006, 0.0006, 0.0015, -0.0006, 0.0008, 0.0116, 0.0162, 0.0079, 0.015, 0.0152, -0.0169, -0.0304, -0.0144, -0.0188, -0.0312, -0.0075, 0.0, -0.0026, 0.0071, 0.0062, 0.0086, -0.0012, -0.0185, -0.0049, -0.0193, -0.0273, -0.0417, -0.0417, -0.0239, -0.0302, -0.0165, 0.0013, -0.001, 0.0114, 0.0055, 0.0067, 0.0149, 0.0294, 0.0319, 0.0337, 0.0306, 0.044, 0.0449, 0.0579, 0.0511, 0.025, -0.0074, 0.001, 0.0007, -0.0083, -0.0076, -0.0029, -0.0054, -0.0132, -0.0384, -0.0273, -0.0119, -0.0125, -0.0171, -0.0348, -0.0369, -0.0421, -0.0284, -0.0374, -0.0429, -0.0502, -0.0494, -0.0413, -0.0277, -0.0146, -0.017, -0.017, -0.03, -0.0275, -0.0158, -0.0294, -0.0173, -0.0127, 0.0045, -0.003, -0.0084, -0.0211, -0.0254, -0.0221, -0.0307, -0.0403, -0.0556, -0.0568, -0.0445, -0.039, -0.034, -0.0362, -0.0383, -0.0299, -0.0144, -0.0056, -0.0042, -0.008, -0.0002, 0.0058, 0.0078, 0.0112, 0.014, 0.0018, -0.0086, -0.0123, -0.029, -0.0194, -0.0224, -0.0229, 0.1063, 0.1162, 0.1106, 0.109, 0.0995, 0.117, 0.1261, 0.1286, 0.1384, 0.1346, 0.1308, 0.1347, 0.1424, 0.1322, 0.1428, 0.1354, 0.1318, 0.145, 0.1618, 0.1618, 0.1918, 0.2016, 0.1994, 0.1669, 0.1825, 0.168, 0.1395, 0.1471, 0.1579, 0.1654, 0.1676, 0.1746, 0.1707]}
{"unit_id": "quote:874014245293363200", "ticker_idx": 0, "ts": "2017-06-11T21:23:29+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "#bitcoin \"roars...for it is the voice of the people,\" people who want to feed their families.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Endorses Bitcoin as the future of money via Venezuela use-case; implicitly bullish.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "#bitcoin \"roars...for it is the voice of the people,\" people who want to feed their families. https://t.co/rwhsQMeuhD", "reply_text": null, "parent_text": null, "quoted_text": "Opinion: Venezuela Proves Bitcoin is the Future of Money https://t.co/FKIrs7bPZk https://t.co/m47VbQwNso", "parent_author": null, "ret_m1d": 0.06173045988174608, "ret_signed_m1d": 0.06173045988174608, "alpha_spy_m1d": 0.06152510662606181, "alpha_c_m1d": null, "bench_spy_m1d": 0.00020535325568427076, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.021578241803352327, "ret_signed_p1d": 0.021578241803352327, "alpha_spy_p1d": 0.016688520478566504, "alpha_c_p1d": null, "bench_spy_p1d": 0.004889721324785823, "bench_c_p1d": null, "ret_p1w": -0.02633065059495987, "ret_signed_p1w": -0.02633065059495987, "alpha_spy_p1w": -0.03657495806171274, "alpha_c_p1w": null, "bench_spy_p1w": 0.010244307466752867, "bench_c_p1w": null, "ret_p1m": -0.12100925990862366, "ret_signed_p1m": -0.12100925990862366, "alpha_spy_p1m": -0.12105459670133989, "alpha_c_p1m": null, "bench_spy_p1m": 4.533679271623292e-05, "bench_c_p1m": null, "ret_p3m": 0.7295187997918824, "ret_signed_p3m": 0.7295187997918824, "alpha_spy_p3m": 0.7101491431794027, "alpha_c_p3m": null, "bench_spy_p3m": 0.01936965661247969, "bench_c_p3m": null, "ret_p6m": 3.480585916229386, "ret_signed_p6m": 3.480585916229386, "alpha_spy_p6m": 3.388434582738374, "alpha_c_p6m": null, "bench_spy_p6m": 0.09215133349101179, "bench_c_p6m": null, "price_path": [-0.5302, -0.5534, -0.5863, -0.6036, -0.5787, -0.6055, -0.6095, -0.6475, -0.6068, -0.6063, -0.609, -0.6141, -0.597, -0.5699, -0.5739, -0.5771, -0.5553, -0.5575, -0.5536, -0.5469, -0.5487, -0.5604, -0.561, -0.5511, -0.5444, -0.5449, -0.5379, -0.5405, -0.53, -0.5242, -0.5183, -0.5045, -0.505, -0.4655, -0.4538, -0.4397, -0.4218, -0.4152, -0.352, -0.34, -0.3281, -0.305, -0.3517, -0.3464, -0.3479, -0.3085, -0.2899, -0.2526, -0.1828, -0.1275, -0.0812, -0.1333, -0.1719, -0.1519, -0.182, -0.1403, -0.0947, -0.0643, 0.0102, 0.0765, 0.0273, 0.0549, 0.0617, 0.0, 0.0216, -0.0576, -0.0733, -0.053, -0.0263, 0.0234, 0.0111, 0.0172, 0.0321, -0.0681, -0.0403, -0.0319, -0.0452, -0.0672, -0.0359, -0.0218, -0.0217, -0.0192, -0.053, -0.1079, -0.121, -0.0981, -0.1134, -0.1603, -0.1621, -0.1281, -0.1452, 0.0594, 0.0031, 0.0358, -0.0313, -0.0489, 0.0046, 0.0562, 0.0811, 0.022, 0.0192, 0.0546, 0.0888, 0.2705, 0.2859, 0.2567, 0.2713, 0.3726, 0.6262, 0.5724, 0.6456, 0.6287, 0.5644, 0.5046, 0.5418, 0.5609, 0.6298, 0.6437, 0.6478, 0.7217, 0.7165, 0.7684, 0.8394, 0.5928, 0.6455, 0.7285, 0.7295, 0.59, 0.5646, 0.5532, 0.4598, 0.1862, 0.3677, 0.5285, 0.4758, 0.4686, 0.3652, 0.3651, 0.4762, 0.4635, 0.5794, 0.5697, 0.5653, 0.6579, 0.6233, 0.5902, 0.6274, 0.6434, 0.7942, 0.798, 0.8147, 1.048, 1.1233, 1.1528, 1.1076, 1.1021, 1.1464, 1.2603, 1.2298, 1.078, 1.1623, 1.2202, 1.1736, 1.305, 1.4321, 1.5445, 1.6615, 1.7101, 1.6405, 1.6862, 1.8048, 1.6859, 1.4884, 1.4663, 1.495, 1.7506, 1.9597, 1.8985, 2.0834, 2.0347, 2.1033, 2.0225, 2.1033, 2.6916, 2.782, 2.718, 2.8478, 3.1267, 3.383, 3.4806]}
{"unit_id": "thread:1051242256802488321", "ticker_idx": 0, "ts": "2018-10-13T22:44:19+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$TSLA's global share is likely to increase dramatically in the short-term", "tweet_type": "prediction", "timeline": "quarters", "summary": "Bullish TSLA: Model 3 ramp will drive dramatic global share gains in Q3'18 and beyond as ICE car sales fall.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "self_thread", "lang": "en", "tweet_text": "#Tesla's sales growth during 1H'18 will look sluggish compared to what it is likely to report for Q3'18, thanks to the ramp in the #Model3.  $TSLA's global share is likely to increase dramatically in the short-term.\n\n---\n\nThe more important share gain for #Tesla will be relative to all cars, whether gas-powered or electric.  As $TSLA's car sales take off, ICE car sales are falling globally.  Last week, #Volkswagen reported a 40% drop in European sales for September.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.003120244302862174, "ret_signed_m1d": -0.003120244302862174, "alpha_spy_m1d": -0.008769039053279082, "alpha_c_m1d": -0.005430119915806886, "bench_spy_m1d": 0.005648794750416908, "bench_c_m1d": 0.0023098756129447118, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.06548787831763603, "ret_signed_p1d": 0.06548787831763603, "alpha_spy_p1d": 0.04362209910400838, "alpha_c_p1d": 0.04543813681200337, "bench_spy_p1d": 0.021865779213627645, "bench_c_p1d": 0.020049741505632657, "ret_p1w": 0.005239091984771127, "ret_signed_p1w": 0.005239091984771127, "alpha_spy_p1w": 0.0030157821486378467, "alpha_c_p1w": 0.018728965311219703, "bench_spy_p1w": 0.0022233098361332804, "bench_c_p1w": -0.013489873326448576, "ret_p1m": 0.30486542534338, "ret_signed_p1m": 0.30486542534338, "alpha_spy_p1m": 0.31339302934614843, "alpha_c_p1m": 0.3092078764899534, "bench_spy_p1m": -0.008527604002768419, "bench_c_p1m": -0.0043424511465733895, "ret_p3m": 0.3289032425588494, "ret_signed_p3m": 0.3289032425588494, "alpha_spy_p3m": 0.37995330759741297, "alpha_c_p3m": 0.3597679141428699, "bench_spy_p3m": -0.051050065038563575, "bench_c_p3m": -0.03086467158402051, "ret_p6m": 0.04900032270408383, "ret_signed_p6m": 0.04900032270408383, "alpha_spy_p6m": -0.00880111815984086, "alpha_c_p6m": -0.03885424403478166, "bench_spy_p6m": 0.05780144086392469, "bench_c_p6m": 0.08785456673886549, "price_path": [0.2475, 0.2336, 0.208, 0.168, 0.1458, 0.1893, 0.1813, 0.1448, 0.1178, 0.1485, 0.1589, 0.3465, 0.3412, 0.3174, 0.4622, 0.4266, 0.3577, 0.3694, 0.373, 0.3392, 0.3047, 0.2922, 0.1769, 0.1882, 0.24, 0.239, 0.2331, 0.2436, 0.2299, 0.2014, 0.175, 0.1678, 0.1621, 0.1621, 0.1131, 0.0815, 0.0823, 0.0141, 0.0998, 0.0765, 0.1192, 0.1151, 0.1372, 0.1358, 0.0977, 0.1519, 0.1492, 0.1522, 0.1544, 0.1595, 0.1926, 0.1846, 0.02, 0.1969, 0.1596, 0.1356, 0.0857, 0.0091, -0.0348, 0.0124, -0.0104, -0.0284, -0.0031, 0.0, 0.0655, 0.047, 0.0166, 0.0016, 0.0052, 0.1331, 0.1114, 0.2129, 0.2747, 0.2899, 0.2709, 0.2994, 0.3262, 0.3345, 0.3152, 0.3138, 0.3412, 0.3537, 0.3502, 0.2762, 0.3049, 0.3252, 0.3423, 0.3649, 0.3616, 0.3386, 0.3028, 0.3028, 0.2552, 0.3329, 0.3249, 0.3401, 0.3143, 0.3501, 0.381, 0.3856, 0.3856, 0.3986, 0.379, 0.4066, 0.4128, 0.4122, 0.4515, 0.4088, 0.3422, 0.2983, 0.2827, 0.2149, 0.2318, 0.1379, 0.1379, 0.2562, 0.2178, 0.2861, 0.282, 0.282, 0.1947, 0.1571, 0.2238, 0.2903, 0.2918, 0.3041, 0.3289, 0.3377, 0.2882, 0.3268, 0.3331, 0.3379, 0.1644, 0.1644, 0.1515, 0.1079, 0.123, 0.1443, 0.1417, 0.1459, 0.1895, 0.1827, 0.2027, 0.2053, 0.2379, 0.222, 0.1846, 0.178, 0.2051, 0.2012, 0.1871, 0.1702, 0.186, 0.186, 0.1774, 0.1655, 0.1219, 0.1353, 0.1509, 0.1474, 0.2125, 0.2323, 0.1356, 0.0993, 0.0653, 0.0641, 0.0655, 0.0946, 0.1207, 0.0916, 0.1131, 0.117, 0.061, 0.0381, 0.0304, 0.054, 0.0556, 0.019, 0.0032, 0.0315, 0.0587, 0.0733, 0.0781, 0.114, 0.1013, 0.1241, 0.0315, 0.0592, 0.0524, 0.049]}
{"unit_id": "quote:956574897991536640", "ticker_idx": 0, "ts": "2018-01-25T17:10:02+00:00", "symbol": "NFLX", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": false, "explicit_audit": "kept_implicit_alias_present", "polarity_reversed": false, "quote": "Goodbye #PayTV!", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Endorses Netflix displacing Pay TV on cost per hour; bullish streaming, bearish legacy Pay TV.", "resolved_tickers": ["NFLX"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLC", "bench_c_reason": "industry='Entertainment'", "bench_c_industry": "Entertainment", "unit_kind": "quote", "lang": "en", "tweet_text": "Goodbye #PayTV! https://t.co/LxdKksBqNI", "reply_text": null, "parent_text": null, "quoted_text": "Netflix is five times cheaper than Pay TV on an hourly basis:\nPay TV: $0.73/hour \nNetflix: $0.15/hour https://t.co/IEMP3mm2sb", "parent_author": null, "ret_m1d": -0.031145723914496215, "ret_signed_m1d": -0.031145723914496215, "alpha_spy_m1d": -0.030721404734437074, "alpha_c_m1d": null, "bench_spy_m1d": -0.0004243191800591406, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.018168327163268883, "ret_signed_p1d": 0.018168327163268883, "alpha_spy_p1d": 0.0065911571262000646, "alpha_c_p1d": null, "bench_spy_p1d": 0.011577170037068818, "bench_c_p1d": null, "ret_p1w": -0.01716719894919727, "ret_signed_p1w": -0.01716719894919727, "alpha_spy_p1w": -0.01109534691530456, "alpha_c_p1w": null, "bench_spy_p1w": -0.006071852033892711, "bench_c_p1w": null, "ret_p1m": 0.06017801779583909, "ret_signed_p1m": 0.06017801779583909, "alpha_spy_p1m": 0.09049964365671626, "alpha_c_p1m": null, "bench_spy_p1m": -0.030321625860877166, "bench_c_p1m": null, "ret_p3m": 0.13837598983935484, "ret_signed_p3m": 0.13837598983935484, "alpha_spy_p3m": 0.20638442873641383, "alpha_c_p3m": null, "bench_spy_p3m": -0.06800843889705899, "bench_c_p3m": null, "ret_p6m": 0.338709694529304, "ret_signed_p6m": 0.338709694529304, "alpha_spy_p6m": 0.3430835355149875, "alpha_c_p6m": null, "bench_spy_p6m": -0.004373840985683497, "bench_c_p6m": null, "price_path": [-0.2645, -0.2717, -0.2659, -0.261, -0.2584, -0.258, -0.2737, -0.2716, -0.2811, -0.288, -0.2767, -0.2743, -0.2877, -0.2751, -0.2836, -0.2803, -0.2724, -0.2721, -0.2721, -0.2742, -0.2768, -0.2615, -0.3024, -0.3045, -0.3073, -0.3176, -0.317, -0.3129, -0.3133, -0.3009, -0.3095, -0.3113, -0.3034, -0.2971, -0.2951, -0.294, -0.3066, -0.2999, -0.3006, -0.2957, -0.2957, -0.3038, -0.3095, -0.2855, -0.2882, -0.2882, -0.2545, -0.2397, -0.2376, -0.2214, -0.2138, -0.2239, -0.212, -0.1945, -0.1797, -0.1797, -0.1786, -0.1935, -0.1831, -0.1826, -0.1562, -0.072, -0.0311, 0.0, 0.0182, 0.0552, 0.0337, 0.0022, -0.0172, -0.0084, -0.0572, -0.0148, -0.0191, -0.0727, -0.075, -0.0436, -0.0424, -0.0137, 0.0392, 0.0327, 0.0327, 0.0328, 0.042, 0.0313, 0.0602, 0.0907, 0.0775, 0.0804, 0.0767, 0.1162, 0.168, 0.2059, 0.1908, 0.1754, 0.2289, 0.1913, 0.1712, 0.1923, 0.1905, 0.1808, 0.1623, 0.1772, 0.1735, 0.1372, 0.1158, 0.1878, 0.1149, 0.0596, 0.0951, 0.0951, 0.0393, 0.0518, 0.0713, 0.09, 0.071, 0.075, 0.1052, 0.126, 0.1466, 0.1555, 0.1412, 0.2461, 0.2403, 0.2336, 0.2153, 0.1816, 0.1384, 0.1337, 0.1642, 0.156, 0.1585, 0.1617, 0.1619, 0.1557, 0.1868, 0.2097, 0.2121, 0.2247, 0.2221, 0.2105, 0.2181, 0.2092, 0.2169, 0.2059, 0.202, 0.2303, 0.2296, 0.2782, 0.2951, 0.3025, 0.3025, 0.2967, 0.3109, 0.3037, 0.3346, 0.3415, 0.3563, 0.3624, 0.34, 0.3369, 0.3402, 0.349, 0.4087, 0.4567, 0.4534, 0.4475, 0.5016, 0.5453, 0.5404, 0.5242, 0.4256, 0.4809, 0.4475, 0.4661, 0.4514, 0.4764, 0.448, 0.448, 0.4772, 0.5137, 0.5535, 0.5411, 0.5523, 0.5332, 0.4676, 0.4849, 0.407, 0.3909, 0.3505, 0.3387]}
{"unit_id": "thread:819917693725933569", "ticker_idx": 0, "ts": "2017-01-13T14:43:06+00:00", "symbol": "ILMN", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$ILMN, $NVTA, $VCYT, $FM will take the guesswork out of #healthcare", "tweet_type": "analysis", "timeline": "unspecified", "summary": "ARK bullish on ILMN, NVTA, VCYT, FM as the companies that will transform healthcare with data/science, analogous to Google/FB/Twitter in advertising.", "resolved_tickers": ["ILMN"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLV", "bench_c_reason": "industry='Diagnostics & Research'", "bench_c_industry": "Diagnostics & Research", "unit_kind": "self_thread", "lang": "en", "tweet_text": "ARK believes health care today is worse than advertising 20 years ago: CMO's knew that half of their ads worked but didn't know which half. https://t.co/FrfRZZ05cT\n\n---\n\nWith science and info, $ILMN, $NVTA, $VCYT, $FM will take the guesswork out of #healthcare, like $GOOG, $FB, and $TWTR did for advertising.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.0016607493866265255, "ret_signed_m1d": 0.0016607493866265255, "alpha_spy_m1d": 0.003951078668942509, "alpha_c_m1d": 0.0026472583073081646, "bench_spy_m1d": -0.0022903292823159838, "bench_c_m1d": -0.000986508920681639, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0, "ret_signed_p1d": 0.0, "alpha_spy_p1d": 0.0, "alpha_c_p1d": 0.0, "bench_spy_p1d": 0.0, "bench_c_p1d": 0.0, "ret_p1w": -0.01740795731684963, "ret_signed_p1w": -0.01740795731684963, "alpha_spy_p1w": -0.016042664507856186, "alpha_c_p1w": -0.0021797030382886273, "bench_spy_p1w": -0.0013652928089934457, "bench_c_p1w": -0.015228254278561004, "ret_p1m": 0.007811948209937469, "ret_signed_p1m": 0.007811948209937469, "alpha_spy_p1m": -0.017380817668577464, "alpha_c_p1m": -0.011646659260919456, "bench_spy_p1m": 0.025192765878514933, "bench_c_p1m": 0.019458607470856926, "ret_p3m": 0.06384940712057396, "ret_signed_p3m": 0.06384940712057396, "alpha_spy_p3m": 0.028623218033435593, "alpha_c_p3m": 0.014231417959927883, "bench_spy_p3m": 0.03522618908713837, "bench_c_p3m": 0.04961798916064608, "ret_p6m": 0.03955211870016151, "ret_signed_p6m": 0.03955211870016151, "alpha_spy_p6m": -0.037794054093756024, "alpha_c_p6m": -0.08385204096295751, "bench_spy_p6m": 0.07734617279391753, "bench_c_p6m": 0.12340415966311902, "price_path": [-0.1067, -0.0975, -0.1214, -0.1278, -0.1249, -0.15, -0.1391, -0.1432, -0.1473, -0.1626, -0.1419, -0.1655, -0.1733, -0.1719, -0.1568, -0.153, -0.1811, -0.1489, -0.1529, -0.1611, -0.1585, -0.1704, -0.1752, -0.1888, -0.1539, -0.1711, -0.1731, -0.1731, -0.1684, -0.1623, -0.1602, -0.181, -0.2144, -0.2133, -0.2131, -0.2225, -0.2494, -0.2405, -0.2422, -0.2373, -0.2206, -0.2283, -0.188, -0.1941, -0.2025, -0.2123, -0.2138, -0.2202, -0.208, -0.208, -0.2069, -0.2131, -0.2082, -0.2124, -0.2124, -0.1934, -0.1685, -0.1723, -0.1297, -0.1294, 0.0152, -0.0014, 0.0017, 0.0, 0.0, -0.0129, -0.0082, -0.0122, -0.0174, -0.0103, -0.0129, -0.0092, -0.015, -0.0097, -0.0202, -0.0152, -0.0061, 0.002, -0.0026, -0.0003, 0.0017, 0.0024, 0.0035, 0.0029, 0.0078, 0.0116, 0.0044, -0.0078, 0.0049, 0.0049, -0.0026, -0.0017, -0.0096, -0.0158, 0.0261, 0.0297, 0.0383, 0.0317, 0.0365, 0.0253, 0.0185, 0.0113, 0.0117, 0.0286, 0.0267, 0.0139, 0.0208, -0.0191, -0.0132, 0.0057, 0.0057, 0.0321, 0.0315, 0.0493, 0.0598, 0.0507, 0.0621, 0.0651, 0.0496, 0.0503, 0.0452, 0.0302, 0.0484, 0.0604, 0.0551, 0.0765, 0.0638, 0.0683, 0.0683, 0.0729, 0.0782, 0.0951, 0.0897, 0.0782, 0.1084, 0.1164, 0.1354, 0.1302, 0.1371, 0.1491, 0.1485, 0.1547, 0.1617, 0.1511, 0.1358, 0.1293, 0.1202, 0.1179, 0.1219, 0.1075, 0.0964, 0.0799, 0.0819, 0.0888, 0.076, 0.0747, 0.0733, 0.0688, 0.0821, 0.0821, 0.0677, 0.091, 0.1112, 0.1305, 0.1165, 0.1038, 0.102, 0.093, 0.0708, 0.0547, 0.067, 0.0616, 0.0583, 0.0571, 0.0863, 0.0783, 0.0911, 0.1256, 0.1397, 0.1127, 0.0848, 0.1134, 0.0872, 0.0674, 0.0711, 0.0711, 0.0725, 0.06, 0.0587, 0.0396]}
{"unit_id": "thread:819917693725933569", "ticker_idx": 2, "ts": "2017-01-13T14:43:06+00:00", "symbol": "VCYT", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$ILMN, $NVTA, $VCYT, $FM will take the guesswork out of #healthcare", "tweet_type": "analysis", "timeline": "unspecified", "summary": "ARK bullish on ILMN, NVTA, VCYT, FM as the companies that will transform healthcare with data/science, analogous to Google/FB/Twitter in advertising.", "resolved_tickers": ["VCYT"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLV", "bench_c_reason": "industry='Diagnostics & Research'", "bench_c_industry": "Diagnostics & Research", "unit_kind": "self_thread", "lang": "en", "tweet_text": "ARK believes health care today is worse than advertising 20 years ago: CMO's knew that half of their ads worked but didn't know which half. https://t.co/FrfRZZ05cT\n\n---\n\nWith science and info, $ILMN, $NVTA, $VCYT, $FM will take the guesswork out of #healthcare, like $GOOG, $FB, and $TWTR did for advertising.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.02337660166199429, "ret_signed_m1d": -0.02337660166199429, "alpha_spy_m1d": -0.021086272379678306, "alpha_c_m1d": -0.02239009274131265, "bench_spy_m1d": -0.0022903292823159838, "bench_c_m1d": -0.000986508920681639, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0, "ret_signed_p1d": 0.0, "alpha_spy_p1d": 0.0, "alpha_c_p1d": 0.0, "bench_spy_p1d": 0.0, "bench_c_p1d": 0.0, "ret_p1w": -0.035064933456444014, "ret_signed_p1w": -0.035064933456444014, "alpha_spy_p1w": -0.03369964064745057, "alpha_c_p1w": -0.01983667917788301, "bench_spy_p1w": -0.0013652928089934457, "bench_c_p1w": -0.015228254278561004, "ret_p1m": 0.003896131240451739, "ret_signed_p1m": 0.003896131240451739, "alpha_spy_p1m": -0.021296634638063194, "alpha_c_p1m": -0.015562476230405187, "bench_spy_p1m": 0.025192765878514933, "bench_c_p1m": 0.019458607470856926, "ret_p3m": 0.09090906839021629, "ret_signed_p3m": 0.09090906839021629, "alpha_spy_p3m": 0.055682879303077915, "alpha_c_p3m": 0.041291079229570204, "bench_spy_p3m": 0.03522618908713837, "bench_c_p3m": 0.04961798916064608, "ret_p6m": 0.0012987310557857068, "ret_signed_p6m": 0.0012987310557857068, "alpha_spy_p6m": -0.07604744173813183, "alpha_c_p6m": -0.12210542860733331, "bench_spy_p6m": 0.07734617279391753, "bench_c_p6m": 0.12340415966311902, "price_path": [0.0065, 0.0338, 0.0558, 0.0545, 0.0571, 0.0377, 0.0338, 0.0104, -0.0221, -0.0571, -0.074, -0.1688, -0.2052, -0.1844, -0.1558, -0.1247, -0.0935, -0.061, -0.0909, -0.0688, -0.0584, -0.0506, -0.0351, -0.0013, -0.0065, -0.0234, 0.0039, 0.0039, 0.0065, -0.0026, 0.0169, -0.0091, 0.0013, -0.0091, 0.0, -0.0299, -0.039, -0.0156, -0.0273, -0.0403, -0.0403, -0.0468, -0.0532, -0.0662, -0.0636, -0.0377, -0.0481, -0.0455, -0.0039, -0.0039, 0.0091, -0.0377, -0.0052, 0.0052, 0.0052, 0.0195, 0.0377, 0.0078, -0.0078, -0.0221, -0.026, -0.0273, -0.0234, 0.0, 0.0, 0.0013, -0.0013, -0.0338, -0.0351, -0.0364, -0.0143, -0.0039, -0.0364, -0.0351, -0.0338, -0.0416, -0.0364, -0.0338, -0.0182, -0.0091, -0.0156, -0.0221, -0.0104, 0.0078, 0.0039, 0.0065, 0.0091, 0.0039, 0.039, 0.039, 0.0766, 0.0455, 0.0247, 0.0325, 0.0338, 0.0065, 0.0442, 0.1273, 0.1753, 0.1857, 0.1857, 0.1883, 0.1844, 0.2221, 0.1584, 0.1545, 0.1883, 0.1961, 0.1974, 0.1935, 0.174, 0.1688, 0.1831, 0.1909, 0.1896, 0.1818, 0.1935, 0.1753, 0.1922, 0.1883, 0.1701, 0.1494, 0.1312, 0.139, 0.1078, 0.1065, 0.0909, 0.0597, 0.0597, 0.0779, 0.0558, 0.0532, 0.0506, 0.0156, 0.0091, 0.0662, 0.1247, 0.1143, 0.1, 0.1065, 0.0779, 0.0169, 0.0727, 0.0675, -0.0091, 0.0091, 0.0234, 0.0221, 0.0506, 0.0597, 0.0649, 0.0247, 0.0818, 0.0688, 0.0753, 0.0714, 0.0455, 0.0364, 0.0532, 0.0532, 0.0247, 0.0571, 0.0831, 0.0727, 0.0429, 0.0377, 0.0312, 0.0286, 0.0104, 0.0351, 0.0377, 0.0247, 0.0247, -0.0039, 0.0208, 0.0195, 0.0117, 0.0234, 0.0078, 0.026, 0.0558, 0.0714, 0.087, 0.0818, 0.0727, 0.0727, 0.026, -0.0052, 0.0013, 0.0013]}
{"unit_id": "quote:860077133464469504", "ticker_idx": 0, "ts": "2017-05-04T10:22:22+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "No questions about this underappreciated opportunity for $TSLA until the end of the Q&A during the earnings call...!", "tweet_type": "prediction", "timeline": "years", "summary": "Bullish TSLA on autonomous taxi network opportunity being underappreciated by the market.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "No questions about this underappreciated opportunity for $TSLA until the end of the Q&amp;A during the earnings call...! https://t.co/nQmaw9uJVs", "reply_text": null, "parent_text": null, "quoted_text": ".@ARKInvest's Tasha Keeney: \"We think that $TSLA could launch an autonomous taxi network in the next two years.\" #CheddarLIVE https://t.co/CSJbwkZHH1", "parent_author": null, "ret_m1d": 0.05266370196788528, "ret_signed_m1d": 0.05266370196788528, "alpha_spy_m1d": 0.05383627839024041, "alpha_c_m1d": 0.05110143629726305, "bench_spy_m1d": -0.0011725764223551316, "bench_c_m1d": 0.0015622656706222315, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.04362697085089429, "ret_signed_p1d": 0.04362697085089429, "alpha_spy_p1d": 0.039689737812864445, "alpha_c_p1d": 0.03737781507665994, "bench_spy_p1d": 0.0039372330380298415, "bench_c_p1d": 0.0062491557742343495, "ret_p1w": 0.09354914145583337, "ret_signed_p1w": 0.09354914145583337, "alpha_spy_p1w": 0.09095207998688615, "alpha_c_p1w": 0.08908539226584788, "bench_spy_p1w": 0.002597061468947226, "bench_c_p1w": 0.004463749189985489, "ret_p1m": 0.1502404117332352, "ret_signed_p1m": 0.1502404117332352, "alpha_spy_p1m": 0.12758160685614284, "alpha_c_p1m": 0.12089081862329043, "bench_spy_p1m": 0.022658804877092376, "bench_c_p1m": 0.029349593109944783, "ret_p3m": 0.08160161517176934, "ret_signed_p3m": 0.08160161517176934, "alpha_spy_p3m": 0.04069793388614795, "alpha_c_p3m": 0.05717247935454339, "bench_spy_p3m": 0.040903681285621385, "bench_c_p3m": 0.024429135817225944, "ret_p6m": 0.08600150575066023, "ret_signed_p6m": 0.08600150575066023, "alpha_spy_p6m": -0.004013302172330313, "alpha_c_p6m": 0.0480628027551262, "bench_spy_p6m": 0.09001480792299055, "bench_c_p6m": 0.037938702995534035, "price_path": [-0.1276, -0.1285, -0.113, -0.0889, -0.0888, -0.0503, -0.049, -0.0531, -0.0897, -0.0786, -0.0786, -0.0612, -0.0743, -0.1336, -0.1302, -0.1666, -0.1539, -0.1538, -0.1522, -0.1485, -0.1498, -0.1586, -0.1645, -0.1711, -0.1752, -0.1668, -0.1268, -0.1345, -0.1131, -0.1149, -0.1135, -0.1516, -0.1369, -0.1377, -0.1093, -0.0854, -0.061, -0.0612, -0.0594, -0.0581, 0.0104, 0.0279, -0.0016, 0.011, 0.024, 0.0573, 0.0448, 0.0047, 0.0289, 0.0289, 0.0202, 0.0162, 0.034, 0.0239, 0.0343, 0.0425, 0.062, 0.0498, 0.0446, 0.063, 0.0926, 0.0793, 0.0527, 0.0, 0.0436, 0.0397, 0.0873, 0.1007, 0.0935, 0.0993, 0.0691, 0.0729, 0.036, 0.0596, 0.052, 0.0504, 0.0284, 0.05, 0.0723, 0.1005, 0.1005, 0.1342, 0.1542, 0.152, 0.1502, 0.1755, 0.1942, 0.2173, 0.2523, 0.2094, 0.2151, 0.2724, 0.2884, 0.2704, 0.257, 0.2516, 0.2599, 0.2739, 0.295, 0.2978, 0.2776, 0.2265, 0.2565, 0.221, 0.2239, 0.1935, 0.1935, 0.1071, 0.0453, 0.0601, 0.0697, 0.1075, 0.1153, 0.0946, 0.1094, 0.0816, 0.1109, 0.1009, 0.1166, 0.1115, 0.1593, 0.1494, 0.1638, 0.132, 0.1341, 0.0948, 0.0816, 0.103, 0.1747, 0.208, 0.2021, 0.2361, 0.2304, 0.2029, 0.2112, 0.2313, 0.2263, 0.2283, 0.1911, 0.176, 0.1435, 0.1553, 0.194, 0.1945, 0.178, 0.1699, 0.1757, 0.1954, 0.2046, 0.2029, 0.2029, 0.1832, 0.1661, 0.1867, 0.1623, 0.2309, 0.2277, 0.2395, 0.2781, 0.2855, 0.3031, 0.2695, 0.2655, 0.2404, 0.1883, 0.1676, 0.1685, 0.154, 0.1494, 0.1545, 0.1559, 0.1783, 0.2016, 0.2026, 0.2079, 0.1607, 0.2035, 0.2002, 0.2038, 0.2034, 0.1866, 0.2041, 0.2173, 0.1907, 0.168, 0.1407, 0.1417, 0.1028, 0.1039, 0.086]}
{"unit_id": "quote:1023036507056205824", "ticker_idx": 0, "ts": "2018-07-28T02:44:45+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$TSLA's #autonomous strategy is \"everywhere\". To feed its AI machine, #Tesla has collected roughly 10 billion miles of data over the air from its customers cars.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish TSLA: autonomous data advantage (10B miles) vastly exceeds rivals, endorsing Tesla's AI/self-driving strategy.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "$TSLA’s #autonomous strategy is “everywhere”.  To feed its AI machine, #Tesla has collected roughly 10 billion miles of data over the air from its customers cars.  $GOOG, another leader in the space, has collected 8 million miles (that’s million, not billion!) from its pilot cars", "reply_text": null, "parent_text": null, "quoted_text": "$TSLA #autonomous program is certainly less public because of the way it tests its tech (shadow mode in customer cars vs. small fleets of test cars like GM). That doesn't mean its \"nowhere\".  https://t.co/bp6w1H1ve2", "parent_author": null, "ret_m1d": 0.024158225595944494, "ret_signed_m1d": 0.024158225595944494, "alpha_spy_m1d": 0.018907733308564545, "alpha_c_m1d": 0.016121982184137185, "bench_spy_m1d": 0.005250492287379949, "bench_c_m1d": 0.008036243411807309, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.027466588287701876, "ret_signed_p1d": 0.027466588287701876, "alpha_spy_p1d": 0.022537666240638687, "alpha_c_p1d": 0.02277107923823274, "bench_spy_p1d": 0.004928922047063189, "bench_c_p1d": 0.004695509049469138, "ret_p1w": 0.17858493299811262, "ret_signed_p1w": 0.17858493299811262, "alpha_spy_p1w": 0.16183233312697398, "alpha_c_p1w": 0.16179004305279077, "bench_spy_p1w": 0.01675259987113864, "bench_c_p1w": 0.016794889945321856, "ret_p1m": 0.07474923776226738, "ret_signed_p1m": 0.07474923776226738, "alpha_spy_p1m": 0.03913611654207627, "alpha_c_p1m": 0.028609251744598163, "bench_spy_p1m": 0.03561312122019111, "bench_c_p1m": 0.04613998601766922, "ret_p3m": 0.08508804372079082, "ret_signed_p3m": 0.08508804372079082, "alpha_spy_p3m": 0.11597745346163668, "alpha_c_p3m": 0.11850554741271502, "bench_spy_p3m": -0.030889409740845863, "bench_c_p3m": -0.0334175036919242, "ret_p6m": 0.030154669949065127, "ret_signed_p6m": 0.030154669949065127, "alpha_spy_p6m": 0.08144337327924212, "alpha_c_p6m": 0.07360349854136683, "bench_spy_p6m": -0.05128870333017699, "bench_c_p6m": -0.0434488285923017, "price_path": [0.0378, -0.0197, 0.0135, 0.0434, 0.0407, 0.0575, 0.0512, 0.0375, 0.0062, -0.0206, -0.0127, -0.0194, -0.046, -0.0196, -0.0522, -0.0383, -0.0425, -0.039, -0.039, -0.0221, 0.0053, -0.0187, 0.0057, 0.0226, 0.0033, 0.1011, 0.0893, 0.0947, 0.1445, 0.1813, 0.1882, 0.2328, 0.2343, 0.278, 0.215, 0.2483, 0.1976, 0.1498, 0.1476, 0.1786, 0.1872, 0.2059, 0.1819, 0.1547, 0.0713, 0.0713, 0.0654, 0.0645, 0.0977, 0.1113, 0.0992, 0.0915, 0.0989, 0.0687, 0.1121, 0.1161, 0.1036, 0.0807, 0.0449, 0.025, 0.064, 0.0568, 0.0242, 0.0, 0.0275, 0.0368, 0.2046, 0.1999, 0.1786, 0.3081, 0.2763, 0.2146, 0.2251, 0.2283, 0.1981, 0.1672, 0.156, 0.0528, 0.063, 0.1093, 0.1085, 0.1031, 0.1125, 0.1003, 0.0747, 0.0511, 0.0447, 0.0396, 0.0396, -0.0042, -0.0325, -0.0318, -0.0928, -0.0161, -0.037, 0.0013, -0.0024, 0.0173, 0.0161, -0.018, 0.0305, 0.0281, 0.0308, 0.0328, 0.0373, 0.0669, 0.0598, -0.0875, 0.0708, 0.0374, 0.016, -0.0287, -0.0973, -0.1365, -0.0943, -0.1147, -0.1308, -0.1082, -0.1054, -0.0468, -0.0634, -0.0905, -0.104, -0.1007, 0.0137, -0.0058, 0.0851, 0.1404, 0.154, 0.1369, 0.1625, 0.1865, 0.1938, 0.1766, 0.1754, 0.1998, 0.211, 0.2079, 0.1417, 0.1674, 0.1855, 0.2008, 0.221, 0.2181, 0.1975, 0.1655, 0.1655, 0.1229, 0.1924, 0.1852, 0.1988, 0.1758, 0.2078, 0.2354, 0.2396, 0.2396, 0.2512, 0.2337, 0.2584, 0.2639, 0.2634, 0.2985, 0.2603, 0.2007, 0.1615, 0.1475, 0.0869, 0.102, 0.018, 0.018, 0.1238, 0.0895, 0.1506, 0.1469, 0.1469, 0.0688, 0.0351, 0.0948, 0.1544, 0.1557, 0.1667, 0.1889, 0.1967, 0.1524, 0.187, 0.1926, 0.1969, 0.0417, 0.0417, 0.0302]}
{"unit_id": "quote:2026462797123444855", "ticker_idx": 0, "ts": "2026-02-25T01:02:35+00:00", "symbol": "Tempus AI", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Check out Tempus's results, reported today", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish Tempus AI as a prime beneficiary of AI in healthcare + FDA deregulation tailwinds.", "resolved_tickers": ["TEM"], "resolution_method": "exchange_ticker", "resolution_reason": "Tempus AI listed as TEM on NASDAQ", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": "Health Information Services", "unit_kind": "quote", "lang": "en", "tweet_text": "According to @ARKInvest’s research, the most profound application of #AI will be in health care. Deregulation is accelerating this transformation in healthcare. Check out Tempus’s results, reported today.", "reply_text": null, "parent_text": null, "quoted_text": "The FDA just made one of the most significant shifts in its evidentiary standards in decades—and it feels like a lot of people have slept on the news!\n\nThe FDA will now default to ONE pivotal trial for drug approval, not two.\n\nThe science of evaluating whether a drug works has", "parent_author": null, "ret_m1d": 0.078942501410181, "ret_signed_m1d": 0.078942501410181, "alpha_spy_m1d": 0.08731024045185987, "alpha_c_m1d": 0.08731024045185987, "bench_spy_m1d": -0.008367739041678868, "bench_c_m1d": -0.008367739041678868, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.03165147629710008, "ret_signed_p1d": 0.03165147629710008, "alpha_spy_p1d": 0.03720595268872118, "alpha_c_p1d": 0.03720595268872118, "bench_spy_p1d": -0.005554476391621099, "bench_c_p1d": -0.005554476391621099, "ret_p1w": -0.045056753122249105, "ret_signed_p1w": -0.045056753122249105, "alpha_spy_p1w": -0.03348628116658037, "alpha_c_p1w": -0.03348628116658037, "bench_spy_p1w": -0.011570471955668737, "bench_c_p1w": -0.011570471955668737, "ret_p1m": -0.15229939386725078, "ret_signed_p1m": -0.15229939386725078, "alpha_spy_p1m": -0.08550537604574138, "alpha_c_p1m": -0.08550537604574138, "bench_spy_p1m": -0.0667940178215094, "bench_c_p1m": -0.0667940178215094, "ret_p3m": -0.14019733583413463, "ret_signed_p3m": -0.14019733583413463, "alpha_spy_p3m": -0.21886185280624404, "alpha_c_p3m": -0.21886185280624404, "bench_spy_p3m": 0.07866451697210941, "bench_c_p3m": 0.07866451697210941, "ret_p6m": null, "ret_signed_p6m": null, "alpha_spy_p6m": null, "alpha_c_p6m": null, "bench_spy_p6m": null, "bench_c_p6m": null, "price_path": [0.4509, 0.3791, 0.3772, 0.3947, 0.4212, 0.4273, 0.4344, 0.4128, 0.3977, 0.3752, 0.3147, 0.2785, 0.2681, 0.203, 0.1583, 0.2001, 0.2273, 0.205, 0.1964, 0.1964, 0.1674, 0.1445, 0.1244, 0.0994, 0.0994, 0.1611, 0.2046, 0.2947, 0.299, 0.2728, 0.2338, 0.2895, 0.2502, 0.2899, 0.2832, 0.3094, 0.3094, 0.2433, 0.2162, 0.2728, 0.2162, 0.2592, 0.2439, 0.2022, 0.1825, 0.1138, 0.0901, 0.0421, -0.003, -0.0236, 0.0223, 0.0635, 0.0404, -0.0019, -0.0546, -0.0328, -0.0328, -0.0214, 0.0456, 0.1164, 0.0868, 0.0667, 0.0789, 0.0, 0.0317, -0.0086, -0.0074, -0.043, -0.0451, -0.0123, -0.027, -0.0259, -0.0523, -0.0192, -0.0778, -0.0694, -0.0527, -0.0534, -0.0935, -0.0925, -0.1257, -0.0851, -0.0909, -0.1294, -0.1523, -0.2065, -0.2111, -0.1581, -0.1244, -0.1177, -0.1177, -0.1193, -0.1284, -0.1156, -0.1778, -0.2005, -0.1439, -0.0778, 0.0503, 0.0132, 0.0402, 0.0572, 0.0268, 0.0335, -0.0423, -0.0296, -0.0192, -0.0486, -0.0687, 0.033, 0.024, 0.0391, 0.0067, -0.0039, -0.0789, -0.0717, -0.0977, -0.1259, -0.1454, -0.1532, -0.1821, -0.1879, -0.1523, -0.1458, -0.1344, -0.1402, -0.1402, -0.1313, -0.1218, -0.0451, -0.0603, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null]}
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{"unit_id": "quote:867484177523802112", "ticker_idx": 0, "ts": "2017-05-24T20:55:19+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "bitcoin has the strongest fundamentals!", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Endorses bitcoin's strongest-fundamentals thesis as a contrarian long.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Almost a contrarian idea these days, Chris @ARKblockchain: #bitcoin has the strongest fundamentals! https://t.co/9z4UzW59kv", "reply_text": null, "parent_text": null, "quoted_text": "Talking #bitcoin strategy and analysis with @ARKblockchain at #consensus2017. Japan is leading, bitcoin has the strongest fundamentals. https://t.co/NtkcpHPRew", "parent_author": null, "ret_m1d": -0.05042476638123783, "ret_signed_m1d": -0.05042476638123783, "alpha_spy_m1d": -0.04809786398293481, "alpha_c_m1d": null, "bench_spy_m1d": -0.0023269023983030213, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.05674318565944014, "ret_signed_p1d": -0.05674318565944014, "alpha_spy_p1d": -0.06152307335935825, "alpha_c_p1d": null, "bench_spy_p1d": 0.004779887699918106, "bench_c_p1d": null, "ret_p1w": -0.06434253301654314, "ret_signed_p1w": -0.06434253301654314, "alpha_spy_p1w": -0.06779248011511141, "alpha_c_p1w": null, "bench_spy_p1w": 0.0034499470985682734, "bench_c_p1w": null, "ret_p1m": 0.10712299317354557, "ret_signed_p1m": 0.10712299317354557, "alpha_spy_p1m": 0.09293296210405622, "alpha_c_p1m": null, "bench_spy_p1m": 0.01419003106948935, "bench_c_p1m": null, "ret_p3m": 0.6376144465428579, "ret_signed_p3m": 0.6376144465428579, "alpha_spy_p3m": 0.6231737123454375, "alpha_c_p3m": null, "bench_spy_p3m": 0.014440734197420424, "bench_c_p3m": null, "ret_p6m": 2.2212970353423653, "ret_signed_p6m": 2.2212970353423653, "alpha_spy_p6m": 2.135843470015515, "alpha_c_p6m": null, "bench_spy_p6m": 0.08545356532685044, "bench_c_p6m": null, "price_path": [-0.5197, -0.5171, -0.5171, -0.4997, -0.4881, -0.4782, -0.4791, -0.4993, -0.5294, -0.5136, -0.543, -0.4959, -0.4926, -0.4886, -0.5139, -0.5498, -0.5686, -0.5414, -0.5707, -0.575, -0.6163, -0.572, -0.5715, -0.5744, -0.58, -0.5614, -0.5319, -0.5362, -0.5397, -0.516, -0.5184, -0.5142, -0.5069, -0.5088, -0.5215, -0.5222, -0.5114, -0.5042, -0.5047, -0.497, -0.4999, -0.4884, -0.4821, -0.4757, -0.4608, -0.4613, -0.4182, -0.4055, -0.3902, -0.3707, -0.3635, -0.2948, -0.2817, -0.2687, -0.2435, -0.2944, -0.2886, -0.2902, -0.2474, -0.2271, -0.1866, -0.1106, -0.0504, 0.0, -0.0567, -0.0987, -0.0769, -0.1097, -0.0643, -0.0146, 0.0184, 0.0995, 0.1717, 0.1181, 0.1481, 0.1556, 0.0884, 0.1119, 0.0257, 0.0086, 0.0307, 0.0597, 0.1138, 0.1004, 0.1071, 0.1233, 0.0142, 0.0445, 0.0537, 0.0392, 0.0152, 0.0493, 0.0647, 0.0648, 0.0675, 0.0307, -0.0291, -0.0433, -0.0183, -0.0351, -0.0861, -0.0881, -0.0511, -0.0697, 0.153, 0.0917, 0.1274, 0.0544, 0.0351, 0.0934, 0.1495, 0.1767, 0.1124, 0.1093, 0.1478, 0.1851, 0.3827, 0.3995, 0.3678, 0.3837, 0.4939, 0.77, 0.7114, 0.791, 0.7726, 0.7026, 0.6376, 0.678, 0.6989, 0.7739, 0.789, 0.7935, 0.8739, 0.8682, 0.9247, 1.0019, 0.7336, 0.791, 0.8813, 0.8824, 0.7305, 0.7029, 0.6904, 0.5889, 0.2911, 0.4886, 0.6636, 0.6062, 0.5984, 0.4859, 0.4858, 0.6066, 0.5928, 0.719, 0.7084, 0.7036, 0.8044, 0.7668, 0.7308, 0.7713, 0.7886, 0.9528, 0.9569, 0.9751, 1.229, 1.311, 1.3431, 1.2939, 1.2879, 1.3361, 1.46, 1.4268, 1.2616, 1.3534, 1.4164, 1.3657, 1.5088, 1.647, 1.7694, 1.8967, 1.9496, 1.8739, 1.9237, 2.0527, 1.9233, 1.7083, 1.6843, 1.7155, 1.9937, 2.2213]}
{"unit_id": "thread:1926122609151709280", "ticker_idx": 0, "ts": "2025-05-24T03:46:30+00:00", "symbol": "S&P500", "kind": "index", "geography": "US", "sub_sector": null, "direction": "long", "conviction": "high", "explicit": false, "explicit_audit": "kept_implicit", "polarity_reversed": false, "quote": "equity markets will be the biggest beneficiaries of President Trump's policies", "tweet_type": "analysis", "timeline": "years", "summary": "Author argues Trump policies will drive a multi-year equity market boom, analogous to Reagan-era bull market.", "resolved_tickers": ["SPY"], "resolution_method": "etf", "resolution_reason": "S&P 500 index; SPY ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "self_thread", "lang": "en", "tweet_text": "I served as an economist to Jennison Associates during those years, and I remember them well. During the early years of the Reagan Administration, Fed Chairman Volcker hiked the Fed funds rate from 10% to 20%, throwing the economy into back to back recessions.Starting in 1983,…\n\n---\n\nPresident Reagan’s policies jump-started 15-20 of the best years in financial markets history. Both equities and bonds boomed. From much lower interest rates today, in our view, equity markets will be the biggest beneficiaries of President Trump’s policies.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.0, "ret_signed_m1d": 0.0, "alpha_spy_m1d": 0.0, "alpha_c_m1d": 0.0, "bench_spy_m1d": 0.0, "bench_c_m1d": 0.0, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.020790563334847745, "ret_signed_p1d": 0.020790563334847745, "alpha_spy_p1d": 0.0, "alpha_c_p1d": 0.0, "bench_spy_p1d": 0.020790563334847745, "bench_c_p1d": 0.020790563334847745, "ret_p1w": 0.02348442029626674, "ret_signed_p1w": 0.02348442029626674, "alpha_spy_p1w": 0.0, "alpha_c_p1w": 0.0, "bench_spy_p1w": 0.02348442029626674, "bench_c_p1w": 0.02348442029626674, "ret_p1m": 0.05087797137113381, "ret_signed_p1m": 0.05087797137113381, "alpha_spy_p1m": 0.0, "alpha_c_p1m": 0.0, "bench_spy_p1m": 0.05087797137113381, "bench_c_p1m": 0.05087797137113381, "ret_p3m": 0.1007044110815063, "ret_signed_p3m": 0.1007044110815063, "alpha_spy_p3m": 0.0, "alpha_c_p3m": 0.0, "bench_spy_p3m": 0.1007044110815063, "bench_c_p3m": 0.1007044110815063, "ret_p6m": 0.14635713145062534, "ret_signed_p6m": 0.14635713145062534, "alpha_spy_p6m": 0.0, "alpha_c_p6m": 0.0, "bench_spy_p6m": 0.14635713145062534, "bench_c_p6m": 0.14635713145062534, "price_path": [0.0236, 0.0072, 0.0229, 0.005, -0.0069, 0.0038, -0.014, -0.0085, -0.0349, -0.0429, -0.0378, -0.0507, -0.0311, -0.0236, -0.0341, -0.0236, -0.0264, -0.0261, -0.0087, -0.0063, -0.0182, -0.0208, -0.0405, -0.0341, -0.0313, -0.0252, -0.0732, -0.1275, -0.129, -0.1427, -0.0526, -0.0942, -0.078, -0.0691, -0.0717, -0.0923, -0.091, -0.091, -0.1126, -0.0896, -0.0754, -0.056, -0.0492, -0.0488, -0.0428, -0.0424, -0.0356, -0.0213, -0.0269, -0.0351, -0.031, -0.0243, -0.0255, 0.0067, 0.0133, 0.0146, 0.0196, 0.0261, 0.0272, 0.0237, 0.0065, 0.0069, 0.0, 0.0, 0.0208, 0.0149, 0.0189, 0.0178, 0.0235, 0.0293, 0.029, 0.0241, 0.0346, 0.0355, 0.0414, 0.0384, 0.0425, 0.0309, 0.0407, 0.0318, 0.0317, 0.0317, 0.0292, 0.0394, 0.0509, 0.0515, 0.0597, 0.065, 0.07, 0.0697, 0.0746, 0.083, 0.083, 0.075, 0.0744, 0.0808, 0.0839, 0.08, 0.0821, 0.0775, 0.0811, 0.0877, 0.0869, 0.089, 0.0891, 0.0984, 0.0987, 0.1034, 0.1031, 0.1002, 0.0988, 0.0947, 0.0768, 0.0931, 0.0876, 0.0959, 0.095, 0.1035, 0.1013, 0.1131, 0.1169, 0.117, 0.1144, 0.1141, 0.1081, 0.1051, 0.1007, 0.1176, 0.1127, 0.1173, 0.1199, 0.1239, 0.1172, 0.1172, 0.1089, 0.1149, 0.1242, 0.121, 0.1237, 0.1263, 0.1296, 0.1389, 0.1386, 0.1446, 0.143, 0.1416, 0.147, 0.1526, 0.1581, 0.1518, 0.1481, 0.1428, 0.1494, 0.1526, 0.157, 0.1609, 0.1622, 0.1622, 0.1664, 0.1621, 0.169, 0.1656, 0.1341, 0.1515, 0.1501, 0.1552, 0.1473, 0.1538, 0.1658, 0.1658, 0.1598, 0.1666, 0.1762, 0.1901, 0.1932, 0.1938, 0.1807, 0.1845, 0.1868, 0.1727, 0.1767, 0.1641, 0.1653, 0.1835, 0.1862, 0.1868, 0.1671, 0.1669, 0.1561, 0.1464]}
{"unit_id": "quote:1070788597211631616", "ticker_idx": 0, "ts": "2018-12-06T21:14:30+00:00", "symbol": "S&P500", "kind": "index", "geography": "US", "sub_sector": null, "direction": "long", "conviction": "low", "explicit": false, "explicit_audit": "kept_implicit", "polarity_reversed": false, "quote": "Terrific wall of worry for the continuation of an #equity #bullmarket", "tweet_type": "sarcasm", "timeline": "months", "summary": "Dismisses bearish EOY 2020 thesis as a classic wall of worry; bullish on equities continuing higher.", "resolved_tickers": ["SPY"], "resolution_method": "etf", "resolution_reason": "S&P 500 index; SPY ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Terrific wall of worry for the continuation of an #equity #bullmarket.", "reply_text": null, "parent_text": null, "quoted_text": "By EOY 2020:\n\n1. Stock market vol stays high, real returns anemic\n2. Credit markets roll over with increasing defaults \n3. Risk premiums go up\n4. Investors capitulate \n5. Capital tightens with more “sitting on sidelines”\n6. Venture downrounds, recaps spike\n7. Valuations reset", "parent_author": null, "ret_m1d": 0.0015195995491807945, "ret_signed_m1d": 0.0015195995491807945, "alpha_spy_m1d": 0.0, "alpha_c_m1d": 0.0, "bench_spy_m1d": 0.0015195995491807945, "bench_c_m1d": 0.0015195995491807945, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.023235883299422166, "ret_signed_p1d": -0.023235883299422166, "alpha_spy_p1d": 0.0, "alpha_c_p1d": 0.0, "bench_spy_p1d": -0.023235883299422166, "bench_c_p1d": -0.023235883299422166, "ret_p1w": -0.0165653600300546, "ret_signed_p1w": -0.0165653600300546, "alpha_spy_p1w": 0.0, "alpha_c_p1w": 0.0, "bench_spy_p1w": -0.0165653600300546, "bench_c_p1w": -0.0165653600300546, "ret_p1m": -0.05920584847331045, "ret_signed_p1m": -0.05920584847331045, "alpha_spy_p1m": 0.0, "alpha_c_p1m": 0.0, "bench_spy_p1m": -0.05920584847331045, "bench_c_p1m": -0.05920584847331045, "ret_p3m": 0.04005884341998556, "ret_signed_p3m": 0.04005884341998556, "alpha_spy_p3m": 0.0, "alpha_c_p3m": 0.0, "bench_spy_p3m": 0.04005884341998556, "bench_c_p3m": 0.04005884341998556, "ret_p6m": 0.030599808683418717, "ret_signed_p6m": 0.030599808683418717, "alpha_spy_p6m": 0.0, "alpha_c_p6m": 0.0, "bench_spy_p6m": 0.030599808683418717, "bench_c_p6m": 0.030599808683418717, "price_path": [0.0629, 0.0664, 0.0666, 0.0729, 0.0731, 0.0674, 0.0732, 0.0744, 0.0831, 0.0821, 0.0785, 0.0775, 0.0743, 0.0773, 0.0774, 0.0811, 0.0805, 0.0811, 0.0726, 0.0666, 0.0666, 0.0651, 0.0314, 0.0086, 0.0226, 0.0169, 0.0391, 0.0393, 0.0243, 0.0238, 0.0192, 0.014, -0.0168, 0.0009, -0.0167, -0.0222, -0.0077, 0.0029, 0.0136, 0.0076, 0.0132, 0.0196, 0.0414, 0.0395, 0.0294, 0.0101, 0.0082, 0.0013, 0.0118, 0.0144, -0.0027, -0.0212, -0.0179, -0.0179, -0.0244, -0.0087, -0.0053, 0.0176, 0.0153, 0.0215, 0.0351, 0.0015, 0.0015, 0.0, -0.0232, -0.0214, -0.0212, -0.0162, -0.0166, -0.0347, -0.0537, -0.0547, -0.0689, -0.084, -0.1028, -0.1265, -0.1265, -0.0824, -0.0753, -0.0765, -0.0684, -0.0684, -0.0674, -0.0897, -0.0592, -0.0518, -0.0429, -0.0384, -0.035, -0.0346, -0.0405, -0.0295, -0.0272, -0.0198, -0.0068, -0.0068, -0.0202, -0.0181, -0.0176, -0.0093, -0.0168, -0.0181, -0.0026, 0.0062, 0.0067, 0.0137, 0.018, 0.0166, 0.007, 0.0082, 0.0087, 0.0217, 0.025, 0.0228, 0.0339, 0.0339, 0.0357, 0.0378, 0.0341, 0.0405, 0.0419, 0.0412, 0.0407, 0.0388, 0.0453, 0.0415, 0.0401, 0.0338, 0.0251, 0.0231, 0.0379, 0.0418, 0.0487, 0.048, 0.0532, 0.057, 0.0573, 0.0541, 0.066, 0.0455, 0.0447, 0.0525, 0.047, 0.051, 0.0576, 0.0701, 0.0707, 0.0723, 0.0752, 0.0804, 0.0812, 0.0757, 0.0793, 0.079, 0.0863, 0.0856, 0.0863, 0.0837, 0.0858, 0.0858, 0.0868, 0.0965, 0.0941, 0.0934, 0.0985, 0.1002, 0.1008, 0.0925, 0.0902, 0.1008, 0.0963, 0.078, 0.0765, 0.0732, 0.0786, 0.0515, 0.061, 0.0673, 0.0771, 0.0702, 0.0631, 0.0727, 0.0694, 0.0563, 0.0587, 0.0587, 0.0489, 0.0418, 0.0447, 0.0306]}
{"unit_id": "quote:857628580439887872", "ticker_idx": 0, "ts": "2017-04-27T16:12:42+00:00", "symbol": "NASDAQ", "kind": "index", "geography": "US", "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "#ARK doesn't think so. The #bullmarket in #equities broadened to include value, and growth, beyond just defensive & yield-oriented strats.", "tweet_type": "prediction", "timeline": "unspecified", "summary": "ARK/Cathie Wood disagrees with Nasdaq topping thesis; bull market broadening to growth and value.", "resolved_tickers": ["QQQ"], "resolution_method": "etf", "resolution_reason": "NASDAQ index; QQQ is standard ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "#ARK doesn't think so.  The #bullmarket in #equities broadened to include value, and growth, beyond just defensive &amp; yield-oriented strats. https://t.co/LBpG67Va1S", "reply_text": null, "parent_text": null, "quoted_text": "Is the Nasdaq Topping Out? https://t.co/sviA9b6ytf", "parent_author": null, "ret_m1d": -0.005966592242498625, "ret_signed_m1d": -0.005966592242498625, "alpha_spy_m1d": -0.005128423552218098, "alpha_c_m1d": -0.005128423552218098, "bench_spy_m1d": -0.0008381686902805274, "bench_c_m1d": -0.0008381686902805274, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0017683502387975114, "ret_signed_p1d": 0.0017683502387975114, "alpha_spy_p1d": 0.003947957583500528, "alpha_c_p1d": 0.003947957583500528, "bench_spy_p1d": -0.002179607344703016, "bench_c_p1d": -0.002179607344703016, "ret_p1w": 0.009502815029669431, "ret_signed_p1w": 0.009502815029669431, "alpha_spy_p1w": 0.008832501327429298, "alpha_c_p1w": 0.008832501327429298, "bench_spy_p1w": 0.0006703137022401329, "bench_c_p1w": 0.0006703137022401329, "ret_p1m": 0.0402945009233755, "ret_signed_p1m": 0.0402945009233755, "alpha_spy_p1m": 0.02726022185206789, "alpha_c_p1m": 0.02726022185206789, "bench_spy_p1m": 0.013034279071307608, "bench_c_p1m": 0.013034279071307608, "ret_p3m": 0.06661751232202451, "ret_signed_p3m": 0.06661751232202451, "alpha_spy_p3m": 0.024595207816113795, "alpha_c_p3m": 0.024595207816113795, "bench_spy_p3m": 0.04202230450591071, "bench_c_p3m": 0.04202230450591071, "ret_p6m": 0.10085860076831721, "ret_signed_p6m": 0.10085860076831721, "alpha_spy_p6m": 0.01265257455299662, "alpha_c_p6m": 0.01265257455299662, "bench_spy_p6m": 0.08820602621532059, "bench_c_p6m": 0.08820602621532059, "price_path": [-0.0824, -0.0843, -0.0779, -0.0787, -0.0761, -0.075, -0.0716, -0.0701, -0.0667, -0.0636, -0.0583, -0.0552, -0.0496, -0.0499, -0.0457, -0.0457, -0.041, -0.0407, -0.0443, -0.0424, -0.0413, -0.0442, -0.0338, -0.0386, -0.0368, -0.039, -0.0406, -0.0389, -0.0382, -0.0341, -0.0325, -0.0349, -0.0289, -0.0296, -0.0299, -0.029, -0.0438, -0.0373, -0.0397, -0.0377, -0.0362, -0.0303, -0.0258, -0.0242, -0.0248, -0.0254, -0.0239, -0.0278, -0.0273, -0.0278, -0.0275, -0.0317, -0.0356, -0.0394, -0.0394, -0.0315, -0.0329, -0.0314, -0.0233, -0.0235, -0.0117, -0.0046, -0.006, 0.0, 0.0018, 0.0107, 0.0124, 0.0091, 0.0095, 0.0132, 0.0154, 0.0189, 0.0195, 0.0187, 0.021, 0.0242, 0.0285, 0.0024, 0.0111, 0.0154, 0.0239, 0.025, 0.0297, 0.0385, 0.0403, 0.0403, 0.0412, 0.0408, 0.0449, 0.0568, 0.0566, 0.0524, 0.0565, 0.0576, 0.0312, 0.0256, 0.034, 0.0295, 0.0249, 0.0205, 0.0375, 0.0294, 0.0396, 0.0393, 0.0433, 0.0384, 0.0196, 0.0343, 0.0163, 0.0167, 0.006, 0.006, 0.0159, 0.0067, 0.0176, 0.0242, 0.0271, 0.0393, 0.0416, 0.0498, 0.0503, 0.0573, 0.0635, 0.0649, 0.0645, 0.0694, 0.0666, 0.0701, 0.0634, 0.0625, 0.058, 0.0604, 0.0633, 0.0592, 0.0611, 0.0678, 0.066, 0.0645, 0.0417, 0.0496, 0.0631, 0.0639, 0.0657, 0.0439, 0.0432, 0.0419, 0.0578, 0.054, 0.0509, 0.0487, 0.0519, 0.0561, 0.0685, 0.0799, 0.0784, 0.0784, 0.0688, 0.072, 0.0745, 0.0652, 0.0775, 0.0801, 0.0815, 0.0752, 0.0789, 0.0775, 0.0793, 0.076, 0.0694, 0.0684, 0.0571, 0.0598, 0.0694, 0.069, 0.0767, 0.0777, 0.08, 0.081, 0.0916, 0.0931, 0.0918, 0.0926, 0.0959, 0.0939, 0.0981, 0.1019, 0.1033, 0.102, 0.0979, 0.1009]}
{"unit_id": "quote:1146224329170018304", "ticker_idx": 0, "ts": "2019-07-03T01:09:10+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Tesla: disruptive innovation at its best. Demand problem? I don't think so.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Cathie Wood endorses Tesla's demand strength, dismissing concerns; bullish stance.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "#Tesla: disruptive innovation at its best.  Demand problem?  I don’t think so.", "reply_text": null, "parent_text": null, "quoted_text": "Looks like US luxury auto sales were up in June, thanks to Tesla. $TSLA June US sales up 156% YOY, Porsche +6%, BMW +4%, Mercedes +1%, and every other luxury automaker's sales decreased. Tesla's volumes account for nearly all of the category's gains. Demand? ✔️.  (source: Wards)", "parent_author": null, "ret_m1d": -0.044061276315869646, "ret_signed_m1d": -0.044061276315869646, "alpha_spy_m1d": -0.03612957700353403, "alpha_c_m1d": -0.03542343794271985, "bench_spy_m1d": -0.007931699312335616, "bench_c_m1d": -0.008637838373149798, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0, "ret_signed_p1d": 0.0, "alpha_spy_p1d": 0.0, "alpha_c_p1d": 0.0, "bench_spy_p1d": 0.0, "bench_c_p1d": 0.0, "ret_p1w": 0.01711370404428547, "ret_signed_p1w": 0.01711370404428547, "alpha_spy_p1w": 0.017749828608261464, "alpha_c_p1w": 0.010039063036199058, "bench_spy_p1w": -0.0006361245639759927, "bench_c_p1w": 0.007074641008086413, "ret_p1m": -0.004469967784564655, "ret_signed_p1m": -0.004469967784564655, "alpha_spy_p1m": 0.008783041001130143, "alpha_c_p1m": 0.01593157054132799, "bench_spy_p1m": -0.013253008785694798, "bench_c_p1m": -0.020401538325892643, "ret_p3m": 0.025415116286151118, "ret_signed_p3m": 0.025415116286151118, "alpha_spy_p3m": 0.027622145834915623, "alpha_c_p3m": 0.02919615322795166, "bench_spy_p3m": -0.0022070295487645053, "bench_c_p3m": -0.003781036941800542, "ret_p6m": 0.8345679538631119, "ret_signed_p6m": 0.8345679538631119, "alpha_spy_p6m": 0.7434488078902384, "alpha_c_p6m": 0.7906790685655842, "bench_spy_p6m": 0.09111914597287352, "bench_c_p6m": 0.04388888529752766, "price_path": [0.1705, 0.163, 0.1593, 0.1752, 0.1427, 0.1396, 0.134, 0.1637, 0.1547, 0.1633, 0.1633, 0.1186, 0.1235, 0.1011, 0.0542, 0.001, 0.028, 0.0161, -0.0038, 0.0392, 0.0857, 0.087, 0.0518, 0.0423, 0.0301, 0.0197, -0.0336, -0.011, -0.0126, -0.028, -0.1016, -0.1258, -0.1269, -0.1795, -0.1678, -0.1885, -0.1885, -0.1967, -0.1917, -0.1987, -0.2117, -0.2381, -0.1758, -0.1631, -0.1232, -0.1294, -0.0937, -0.0758, -0.1092, -0.0894, -0.0851, -0.042, -0.0433, -0.0361, -0.065, -0.0555, -0.0479, -0.0645, -0.0665, -0.0513, -0.0487, -0.0329, -0.0441, 0.0, 0.0, -0.0077, -0.0194, -0.0206, 0.0171, 0.0158, 0.0433, 0.0792, 0.0744, 0.085, 0.0794, 0.0991, 0.0885, 0.1076, 0.1276, -0.0259, -0.0292, 0.0037, 0.0313, 0.0286, -0.0045, -0.0024, -0.028, -0.0177, -0.0063, 0.0145, 0.0005, -0.0251, 0.0004, -0.065, -0.082, -0.0637, -0.0344, -0.0385, -0.0599, -0.0543, -0.1, -0.0847, -0.0886, -0.0822, -0.0562, -0.0395, -0.0395, -0.0421, -0.0605, -0.0226, -0.0317, -0.0132, 0.0027, 0.0519, 0.0467, 0.0438, 0.0337, 0.0421, 0.0366, 0.0498, 0.0244, 0.0269, -0.0498, -0.0264, 0.0326, 0.0308, 0.0254, 0.0417, 0.035, -0.008, -0.0148, 0.012, 0.0219, 0.041, 0.0419, 0.0553, 0.0939, 0.0979, 0.1058, 0.1152, 0.0939, 0.0792, 0.088, 0.0842, 0.2758, 0.3969, 0.3951, 0.3462, 0.341, 0.3407, 0.3338, 0.3515, 0.3504, 0.3903, 0.4284, 0.4352, 0.4691, 0.4897, 0.4734, 0.4872, 0.4992, 0.49, 0.5305, 0.4994, 0.5106, 0.4178, 0.4318, 0.4003, 0.4103, 0.4103, 0.4046, 0.4256, 0.4312, 0.4178, 0.4064, 0.4299, 0.4454, 0.4851, 0.5015, 0.5312, 0.5257, 0.6241, 0.6134, 0.6737, 0.7201, 0.7266, 0.7847, 0.8103, 0.8103, 0.8346]}
{"unit_id": "quote:936625335684222976", "ticker_idx": 0, "ts": "2017-12-01T15:57:36+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "still doesn't get it. Good news for the massive wall of worry that #bitcoin is scaling.", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish BTC; dismisses El-Erian's skepticism as part of a 'wall of worry' Bitcoin is climbing.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "@elerianm still doesn't get it.  Good news for the massive wall of worry that #bitcoin is scaling. https://t.co/PkZfNu5EgB", "reply_text": null, "parent_text": null, "quoted_text": "El-Erian: Bitcoin isn't a fraud, but it's not for long-term investors, either https://t.co/pzwQALTLUT", "parent_author": null, "ret_m1d": -0.0676045069434027, "ret_signed_m1d": -0.0676045069434027, "alpha_spy_m1d": -0.06968434420401082, "alpha_c_m1d": null, "bench_spy_m1d": 0.0020798372606081195, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.06210144413024121, "ret_signed_p1d": 0.06210144413024121, "alpha_spy_p1d": 0.0633114869386765, "alpha_c_p1d": null, "bench_spy_p1d": -0.0012100428084352854, "bench_c_p1d": null, "ret_p1w": 0.5096578756819772, "ret_signed_p1w": 0.5096578756819772, "alpha_spy_p1w": 0.5056871694577714, "alpha_c_p1w": null, "bench_spy_p1w": 0.003970706224205811, "bench_c_p1w": null, "ret_p1m": 0.24432383481326747, "ret_signed_p1m": 0.24432383481326747, "alpha_spy_p1m": 0.23009066098068542, "alpha_c_p1m": null, "bench_spy_p1m": 0.014233173832582047, "bench_c_p1m": null, "ret_p3m": -0.05263486636817072, "ret_signed_p3m": -0.05263486636817072, "alpha_spy_p3m": -0.08507277680839909, "alpha_c_p3m": null, "bench_spy_p3m": 0.03243791044022837, "bench_c_p3m": null, "ret_p6m": -0.34983139980072986, "ret_signed_p6m": -0.34983139980072986, "alpha_spy_p6m": -0.3883122106565764, "alpha_c_p6m": null, "bench_spy_p6m": 0.03848081085584654, "bench_c_p6m": null, "price_path": [-0.6012, -0.5812, -0.5809, -0.6147, -0.6209, -0.6236, -0.6463, -0.7125, -0.6686, -0.6296, -0.6424, -0.6441, -0.6692, -0.6692, -0.6423, -0.6454, -0.6173, -0.6196, -0.6207, -0.5983, -0.6066, -0.6147, -0.6056, -0.6018, -0.5652, -0.5643, -0.5603, -0.5037, -0.4855, -0.4783, -0.4893, -0.4906, -0.4799, -0.4523, -0.4597, -0.4965, -0.476, -0.462, -0.4733, -0.4414, -0.4107, -0.3834, -0.3551, -0.3433, -0.3601, -0.3491, -0.3203, -0.3491, -0.397, -0.4024, -0.3954, -0.3335, -0.2828, -0.2976, -0.2528, -0.2646, -0.248, -0.2676, -0.248, -0.1054, -0.0835, -0.099, -0.0676, 0.0, 0.0621, 0.0857, 0.3021, 0.6309, 0.5097, 0.5431, 0.5867, 0.495, 0.5092, 0.6133, 0.7415, 0.6197, 0.5147, 0.4398, 0.2602, 0.278, 0.4669, 0.4431, 0.3308, 0.3353, 0.2443, 0.365, 0.385, 0.4213, 0.588, 0.3822, 0.3298, 0.3642, 0.2214, 0.2738, 0.2591, 0.0469, 0.0194, 0.0455, 0.0576, -0.004, -0.0098, 0.035, 0.0259, 0.0178, 0.0292, -0.0792, -0.0687, -0.1645, -0.1954, -0.3663, -0.2935, -0.3056, -0.2469, -0.204, -0.1867, -0.2166, -0.1349, -0.0737, -0.0676, 0.0228, 0.039, -0.026, -0.0884, -0.0615, -0.0555, -0.0228, -0.0526, -0.0022, 0.0101, 0.0545, -0.0178, -0.092, -0.144, -0.1492, -0.1613, -0.1622, -0.2465, -0.2437, -0.2403, -0.2137, -0.1879, -0.1864, -0.2047, -0.191, -0.252, -0.2863, -0.2753, -0.3471, -0.3722, -0.3546, -0.3207, -0.3755, -0.3794, -0.3954, -0.3831, -0.3773, -0.3651, -0.2812, -0.2806, -0.2658, -0.28, -0.2562, -0.2443, -0.194, -0.1863, -0.1164, -0.1941, -0.1544, -0.1812, -0.1581, -0.1692, -0.1585, -0.1122, -0.1162, -0.146, -0.1586, -0.1504, -0.176, -0.2309, -0.2058, -0.2246, -0.2375, -0.2625, -0.2482, -0.2329, -0.2673, -0.3114, -0.3087, -0.3185, -0.3498]}
{"unit_id": "quote:833153234487373824", "ticker_idx": 0, "ts": "2017-02-19T03:16:24+00:00", "symbol": "IBM", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "the first time this portfolio manager has paid attention to $IBM in 20 years!", "tweet_type": "prediction", "timeline": "unspecified", "summary": "First renewed attention to IBM in 20 years, impressed by Watson for Oncology; implied bullish interest.", "resolved_tickers": ["IBM"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLK", "bench_c_reason": "industry='Information Technology Services'", "bench_c_industry": "Information Technology Services", "unit_kind": "quote", "lang": "en", "tweet_text": "@ARKwebx0 @jwan584 are impressed by #Watson for Oncology, the first time this portfolio manager has paid attention to $IBM in 20 years! https://t.co/0V7BI0nagX", "reply_text": null, "parent_text": null, "quoted_text": "IBM wants to bring machine learning to the mainframe | #MachineLearning #IBM #RT https://t.co/vOikF0oWCW https://t.co/UbNJqDQqxG", "parent_author": null, "ret_m1d": 0.0, "ret_signed_m1d": 0.0, "alpha_spy_m1d": 0.0, "alpha_c_m1d": 0.0, "bench_spy_m1d": 0.0, "bench_c_m1d": 0.0, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.00226927634208951, "ret_signed_p1d": -0.00226927634208951, "alpha_spy_p1d": -0.00822455473257877, "alpha_c_p1d": -0.007442715660019195, "bench_spy_p1d": 0.00595527839048926, "bench_c_p1d": 0.0051734393179296845, "ret_p1w": -0.007028995349687039, "ret_signed_p1w": -0.007028995349687039, "alpha_spy_p1w": -0.015621775628053114, "alpha_c_p1w": -0.01488480389166369, "bench_spy_p1w": 0.008592780278366074, "bench_c_p1w": 0.00785580854197665, "ret_p1m": -0.03758212238449732, "ret_signed_p1m": -0.03758212238449732, "alpha_spy_p1m": -0.036122490168814525, "alpha_c_p1m": -0.04951214405300364, "bench_spy_p1m": -0.0014596322156827934, "bench_c_p1m": 0.011930021668506319, "ret_p3m": -0.15728698893952575, "ret_signed_p3m": -0.15728698893952575, "alpha_spy_p3m": -0.16881474559471876, "alpha_c_p3m": -0.21364890727337216, "bench_spy_p3m": 0.011527756655193011, "bench_c_p3m": 0.056361918333846406, "ret_p6m": -0.19757790832243904, "ret_signed_p6m": -0.19757790832243904, "alpha_spy_p6m": -0.2558525367405672, "alpha_c_p6m": -0.3196082587054113, "bench_spy_p6m": 0.05827462841812814, "bench_c_p6m": 0.12203035038297227, "price_path": [-0.1105, -0.1105, -0.1041, -0.0965, -0.102, -0.1092, -0.1223, -0.1212, -0.1222, -0.1194, -0.0951, -0.0919, -0.0855, -0.0912, -0.0758, -0.0746, -0.0773, -0.0844, -0.0847, -0.0796, -0.0811, -0.0826, -0.0845, -0.0845, -0.0821, -0.0874, -0.0851, -0.0885, -0.0885, -0.0819, -0.0705, -0.0736, -0.069, -0.0793, -0.091, -0.0788, -0.0777, -0.081, -0.081, -0.078, -0.084, -0.084, -0.0634, -0.0608, -0.034, -0.0209, -0.0189, -0.0264, -0.0346, -0.0416, -0.0429, -0.0413, -0.0345, -0.0343, -0.02, -0.0249, -0.0192, -0.011, -0.0073, -0.003, 0.0056, 0.0042, 0.0, 0.0, -0.0023, 0.0027, 0.0054, 0.0038, -0.007, -0.0047, 0.0071, -0.0008, -0.0034, -0.0011, -0.0016, -0.0068, -0.0193, -0.0157, -0.0233, -0.0274, -0.0269, -0.019, -0.0278, -0.0275, -0.0376, -0.0326, -0.0324, -0.0379, -0.0382, -0.0341, -0.0373, -0.0377, -0.0361, -0.0342, -0.034, -0.0431, -0.0455, -0.0472, -0.0524, -0.0558, -0.0554, -0.0617, -0.0617, -0.053, -0.0588, -0.1051, -0.1017, -0.1123, -0.1103, -0.1122, -0.1141, -0.1126, -0.1128, -0.1208, -0.1194, -0.122, -0.1197, -0.1418, -0.1447, -0.1499, -0.1547, -0.158, -0.1596, -0.1532, -0.1411, -0.1564, -0.1573, -0.1506, -0.1469, -0.1503, -0.1476, -0.1438, -0.1477, -0.1477, -0.152, -0.1469, -0.1467, -0.1502, -0.1482, -0.1484, -0.1562, -0.1499, -0.1387, -0.1327, -0.1379, -0.1404, -0.1381, -0.1316, -0.1346, -0.134, -0.1405, -0.1371, -0.1387, -0.1324, -0.1351, -0.1319, -0.1386, -0.1402, -0.1305, -0.1305, -0.1411, -0.1485, -0.1452, -0.1425, -0.1438, -0.141, -0.1414, -0.1379, -0.1448, -0.1393, -0.1755, -0.1747, -0.178, -0.1841, -0.1829, -0.1876, -0.1892, -0.1936, -0.1914, -0.1879, -0.1927, -0.1899, -0.1887, -0.1981, -0.1974, -0.1993, -0.1989, -0.1989, -0.1962, -0.1976]}
{"unit_id": "quote:890366958574735360", "ticker_idx": 0, "ts": "2017-07-27T00:23:19+00:00", "symbol": "PYPL", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$PYPL is enjoying the network effect thanks to 17mm merchants", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish PYPL on network effects from 17M merchants driving growth.", "resolved_tickers": ["PYPL"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLF", "bench_c_reason": "industry='Credit Services'", "bench_c_industry": "Credit Services", "unit_kind": "quote", "lang": "en", "tweet_text": "Mobile #payments are exploding in Asia, thanks to #Tencent and $BABA.  Now, $PYPL is enjoying the network effect thanks to 17mm merchants. https://t.co/he76fcUHpB", "reply_text": null, "parent_text": null, "quoted_text": "Record revenues, volume, and net new actives for @PayPal in Q2:\n&gt;$100B in TPV\nOne Touch &gt; 60M users\n$36B mobile TPV  https://t.co/Y8Rgi0Lnmi", "parent_author": null, "ret_m1d": -0.022610147800563474, "ret_signed_m1d": -0.022610147800563474, "alpha_spy_m1d": -0.02354054477064571, "alpha_c_m1d": -0.028230524333825335, "bench_spy_m1d": 0.0009303969700822368, "bench_c_m1d": 0.005620376533261862, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.01579388512244373, "ret_signed_p1d": -0.01579388512244373, "alpha_spy_p1d": -0.014620723540173852, "alpha_c_p1d": -0.01579388512244373, "bench_spy_p1d": -0.001173161582269877, "bench_c_p1d": 0.0, "ret_p1w": -0.02876146989041395, "ret_signed_p1w": -0.02876146989041395, "alpha_spy_p1w": -0.027790482280476536, "alpha_c_p1w": -0.04120590566617577, "bench_spy_p1w": -0.0009709876099374126, "bench_c_p1w": 0.01244443577576182, "ret_p1m": -0.002992519561839324, "ret_signed_p1m": -0.002992519561839324, "alpha_spy_p1m": 0.007687139887651018, "alpha_c_p1m": 0.0010218932066968778, "bench_spy_p1m": -0.010679659449490342, "bench_c_p1m": -0.004014412768536202, "ret_p3m": 0.16724852953065605, "ret_signed_p3m": 0.16724852953065605, "alpha_spy_p3m": 0.12423371465549704, "alpha_c_p3m": 0.08648548318580151, "bench_spy_p3m": 0.04301481487515901, "bench_c_p3m": 0.08076304634485454, "ret_p6m": 0.39384860139958233, "ret_signed_p6m": 0.39384860139958233, "alpha_spy_p6m": 0.2480478022669328, "alpha_c_p6m": 0.1975035708528603, "bench_spy_p6m": 0.14580079913264954, "bench_c_p6m": 0.19634503054672203, "price_path": [-0.2096, -0.1845, -0.185, -0.1869, -0.1804, -0.1825, -0.1817, -0.1722, -0.1737, -0.1792, -0.1726, -0.1631, -0.1845, -0.1835, -0.1789, -0.1726, -0.1666, -0.1513, -0.1533, -0.149, -0.149, -0.1511, -0.132, -0.1162, -0.1102, -0.1056, -0.1122, -0.1047, -0.0958, -0.1122, -0.1328, -0.1345, -0.1372, -0.1307, -0.1382, -0.12, -0.1268, -0.1099, -0.1044, -0.0968, -0.1066, -0.1234, -0.0958, -0.1119, -0.1077, -0.121, -0.121, -0.0921, -0.1111, -0.1027, -0.0866, -0.0896, -0.0599, -0.0374, -0.0497, -0.0427, -0.0198, -0.0299, -0.0176, -0.0246, -0.0261, -0.0314, -0.0226, 0.0, -0.0158, -0.0266, -0.0135, -0.0171, -0.0288, -0.0214, -0.0088, -0.0111, -0.008, -0.0354, -0.0351, -0.0181, -0.0076, 0.0023, -0.0143, -0.0118, -0.0125, 0.0115, -0.0017, -0.0025, -0.003, 0.0063, 0.0143, 0.0269, 0.0254, 0.0218, 0.0218, 0.0186, 0.0181, 0.0308, 0.0163, 0.0414, 0.0401, 0.0314, 0.0347, 0.0391, 0.0461, 0.0612, 0.0763, 0.0745, 0.082, 0.0557, 0.0464, 0.0529, 0.0628, 0.0645, 0.067, 0.0677, 0.0642, 0.0943, 0.0981, 0.1011, 0.0979, 0.1268, 0.1448, 0.1415, 0.119, 0.1084, 0.1182, 0.118, 0.1799, 0.1604, 0.1672, 0.1807, 0.186, 0.1814, 0.1829, 0.2063, 0.2033, 0.2012, 0.2201, 0.2426, 0.2371, 0.2431, 0.2319, 0.2301, 0.2308, 0.2384, 0.2208, 0.2918, 0.2698, 0.2637, 0.2929, 0.2896, 0.2896, 0.3062, 0.2941, 0.2933, 0.2178, 0.259, 0.2519, 0.1799, 0.1837, 0.216, 0.2251, 0.2121, 0.2185, 0.2239, 0.2318, 0.2346, 0.2577, 0.2522, 0.2386, 0.2303, 0.2306, 0.2284, 0.2284, 0.2347, 0.2401, 0.2331, 0.2239, 0.2239, 0.2276, 0.276, 0.2756, 0.3084, 0.3142, 0.3165, 0.3195, 0.3259, 0.339, 0.339, 0.337, 0.3711, 0.3789, 0.3938]}
{"unit_id": "thread:1746356051555876926", "ticker_idx": 0, "ts": "2024-01-14T02:18:23+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Spot Bitcoin ETFs could be a hedge against inflation but are more likely to be a hedge against price deflation and counter-party risk", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish BTC: ARK views Spot Bitcoin ETFs as a hedge against both inflation and deflation/counterparty risk amid Fed policy mistakes and China exporting deflation.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "self_thread", "lang": "en", "tweet_text": "Gold was not the only commodity to soar after regulators approved the gold ETF. In fact, gold underperformed many other commodities. The Fed stoked broad based commodity price inflation by easing aggressively in response to the implosion of Long Term Capital Management in 1998…\n\n---\n\n…and then easing more aggressively in 1999 in response to Y2K, the fear that — ill-prepared for the transition from a 1 to a 2 handle at the turn of the Millenium—computers and the economy would shut down globally at midnight on 1/1/2000…\n\n---\n\n…and easing even more aggressively during the tech and telecom bust from 2000 to 2003, even though most other parts of the economy were doing just fine.\n\n---\n\nIn contrast, during the past two years, the Fed has hiked interest rates at a record-breaking rate, pushed money supply growth into negative territory for the first time since the 1930’s and inverted the yield curve for the past year and a half, raising the odds of deflation.\n\n---\n\nInterestingly, during the regional bank crisis last March, as the regional bank index (KRE) imploded with Silicon Valley Bank and others, the bitcoin price shot up 40%+,  validating our view that it is a hedge not only against inflation but also against deflation.\n\n---\n\nUnlike money center and regional banks a la 2008, bitcoin—a global, decentralized, transparent, private, rules-based monetary ecosystem—is not subject to counterparty risk. Last year in March, we learned that bitcoin is unique: not only a risk-on asset but also a risk-off asset.\n\n---\n\nIn @ARKInvest’s view, Spot Bitcoin ETFs could be a hedge against inflation but are more likely to be a hedge against price deflation and counter-party risk, not only because the Fed has made mistakes but also because China has compounded the problem and is exporting deflation.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.008025956660734579, "ret_signed_m1d": 0.008025956660734579, "alpha_spy_m1d": 0.008025956660734579, "alpha_c_m1d": null, "bench_spy_m1d": 0.0, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.015124600939588229, "ret_signed_p1d": 0.015124600939588229, "alpha_spy_p1d": 0.018795814939301825, "alpha_c_p1d": null, "bench_spy_p1d": -0.003671213999713596, "bench_c_p1d": null, "ret_p1w": -0.07067660357414052, "ret_signed_p1w": -0.07067660357414052, "alpha_spy_p1w": -0.08487900753253641, "alpha_c_p1w": null, "bench_spy_p1w": 0.014202403958395893, "bench_c_p1w": null, "ret_p1m": 0.17008087060776256, "ret_signed_p1m": 0.17008087060776256, "alpha_spy_p1m": 0.1335784466053065, "alpha_c_p1m": null, "bench_spy_p1m": 0.03650242400245607, "bench_c_p1m": null, "ret_p3m": 0.648020814726441, "ret_signed_p3m": 0.648020814726441, "alpha_spy_p3m": 0.5579616752106389, "alpha_c_p3m": null, "bench_spy_p3m": 0.09005913951580213, "bench_c_p3m": null, "ret_p6m": 0.3645386997632285, "ret_signed_p6m": 0.3645386997632285, "alpha_spy_p6m": 0.19111903115265427, "alpha_c_p6m": null, "bench_spy_p6m": 0.17341966861057423, "bench_c_p6m": null, "price_path": [-0.3336, -0.3244, -0.3018, -0.2217, -0.2025, -0.1884, -0.1965, -0.2023, -0.1884, -0.1845, -0.1664, -0.1782, -0.183, -0.1758, -0.1663, -0.1613, -0.1369, -0.1223, -0.1414, -0.1641, -0.1089, -0.1495, -0.1391, -0.1184, -0.1576, -0.1195, -0.1228, -0.1127, -0.1237, -0.1101, -0.1095, -0.1129, -0.0899, -0.0125, 0.0369, 0.029, 0.0184, 0.0389, -0.0298, -0.025, 0.0089, 0.012, -0.0137, 0.0026, -0.0057, 0.0268, 0.0319, 0.035, 0.0259, 0.0002, 0.0219, 0.0027, -0.0097, 0.0389, 0.0575, 0.0079, 0.0392, 0.0388, 0.1049, 0.0853, 0.0968, 0.0907, 0.008, 0.0, 0.0151, 0.0054, -0.0294, -0.021, -0.0707, -0.0627, -0.0573, -0.0606, -0.0164, 0.0183, 0.0104, 0.0017, 0.0133, 0.0159, 0.0035, 0.0135, 0.0425, 0.0656, 0.109, 0.1752, 0.1701, 0.2191, 0.2217, 0.227, 0.218, 0.2299, 0.2194, 0.2068, 0.1934, 0.2825, 0.3428, 0.4703, 0.4396, 0.4688, 0.6073, 0.5008, 0.555, 0.5743, 0.6066, 0.6966, 0.6814, 0.7191, 0.6794, 0.6326, 0.5889, 0.4564, 0.5975, 0.5405, 0.5003, 0.6456, 0.6463, 0.6338, 0.6641, 0.6441, 0.6396, 0.5395, 0.5521, 0.6115, 0.5957, 0.685, 0.6263, 0.6604, 0.648, 0.5806, 0.492, 0.501, 0.4414, 0.494, 0.5018, 0.5722, 0.5621, 0.512, 0.5168, 0.4997, 0.5017, 0.4263, 0.3703, 0.3907, 0.4793, 0.4857, 0.4663, 0.4393, 0.4831, 0.43, 0.4796, 0.4479, 0.5588, 0.5344, 0.5772, 0.6807, 0.6498, 0.626, 0.5979, 0.6119, 0.6324, 0.6065, 0.5896, 0.6081, 0.5876, 0.6185, 0.66, 0.6721, 0.6644, 0.6311, 0.6351, 0.5838, 0.6052, 0.5703, 0.5528, 0.564, 0.5323, 0.528, 0.525, 0.5077, 0.4179, 0.4538, 0.4305, 0.4491, 0.4189, 0.4785, 0.4591, 0.4155, 0.3403, 0.3329, 0.3339, 0.3645]}
{"unit_id": "quote:1868104910975410283", "ticker_idx": 0, "ts": "2024-12-15T01:24:53+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "When $TSLA's solution enters the market next year, the transition is likely to shift from \"slowly, slowly\" to \"all at once\"", "tweet_type": "prediction", "timeline": "months", "summary": "Bullish TSLA on robotaxi market entry next year expected to rapidly accelerate ride-hail disruption.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "With a tiny fraction of cars compared to Uber and Lyft, Waymo is beginning to disrupt the raid-hail market in San Francisco. When $TSLA’s solution enters the market next year, the transition is likely to shift from “slowly, slowly”  to “all at once”. Can’t wait!", "reply_text": null, "parent_text": null, "quoted_text": "Waymo's market share is now equal to Lyft within SF. Incredible.\n\nNetwork effects is one of the best sources of defensibility. But it's proven to be not that important in ridesharing. \n\nYou need a minimum network size, but once you have that, there are diminishing returns. In https://t.co/0l0fKk9qoC", "parent_author": null, "ret_m1d": -0.05785922565548829, "ret_signed_m1d": -0.05785922565548829, "alpha_spy_m1d": -0.053607397336546514, "alpha_c_m1d": -0.044494036658082714, "bench_spy_m1d": -0.004251828318941775, "bench_c_m1d": -0.013365188997405575, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.036369912179738284, "ret_signed_p1d": 0.036369912179738284, "alpha_spy_p1d": 0.04048986276244748, "alpha_c_p1d": 0.033227610333748325, "bench_spy_p1d": -0.0041199505827091976, "bench_c_p1d": 0.0031423018459899588, "ret_p1w": -0.07001853846357153, "ret_signed_p1w": -0.07001853846357153, "alpha_spy_p1w": -0.05337603914292621, "alpha_c_p1w": -0.03199397373041213, "bench_spy_p1w": -0.01664249932064532, "bench_c_p1w": -0.038024564733159405, "ret_p1m": -0.14396787448444492, "ret_signed_p1m": -0.14396787448444492, "alpha_spy_p1m": -0.10665589496890726, "alpha_c_p1m": -0.07433501970894685, "bench_spy_p1m": -0.03731197951553766, "bench_c_p1m": -0.06963285477549808, "ret_p3m": -0.4801952434311113, "ret_signed_p3m": -0.4801952434311113, "alpha_spy_p3m": -0.39200313361054084, "alpha_c_p3m": -0.28866268557565766, "bench_spy_p3m": -0.08819210982057046, "bench_c_p3m": -0.19153255785545364, "ret_p6m": -0.29573235697117606, "ret_signed_p6m": -0.29573235697117606, "alpha_spy_p6m": -0.2959633477886767, "alpha_c_p6m": -0.2067304004851397, "bench_spy_p6m": 0.00023099081750066475, "bench_c_p6m": -0.08900195648603637, "price_path": [-0.5093, -0.4732, -0.4854, -0.4601, -0.4508, -0.4449, -0.451, -0.4375, -0.4349, -0.4427, -0.4622, -0.4802, -0.4599, -0.4799, -0.4719, -0.4794, -0.4843, -0.5296, -0.5267, -0.5258, -0.522, -0.5229, -0.5233, -0.5273, -0.5292, -0.5386, -0.4374, -0.4186, -0.433, -0.4395, -0.4438, -0.4604, -0.4623, -0.4755, -0.457, -0.3769, -0.3588, -0.3063, -0.2441, -0.2905, -0.2868, -0.3279, -0.3073, -0.2684, -0.2527, -0.2613, -0.2665, -0.2386, -0.2687, -0.2695, -0.281, -0.281, -0.2545, -0.2288, -0.241, -0.227, -0.202, -0.1594, -0.1582, -0.134, -0.0826, -0.097, -0.0579, 0.0, 0.0364, -0.0494, -0.058, -0.0906, -0.07, -0.0016, -0.0016, -0.0192, -0.0677, -0.0985, -0.1278, -0.1278, -0.1809, -0.1136, -0.1122, -0.1483, -0.147, -0.147, -0.1475, -0.129, -0.144, -0.0752, -0.1063, -0.0789, -0.0789, -0.0841, -0.1035, -0.1094, -0.1219, -0.1423, -0.1402, -0.1596, -0.1355, -0.1262, -0.1714, -0.1529, -0.1833, -0.1916, -0.219, -0.2425, -0.2905, -0.2732, -0.2313, -0.2315, -0.2315, -0.2352, -0.2213, -0.2346, -0.2704, -0.2861, -0.346, -0.3719, -0.3911, -0.3672, -0.3852, -0.4125, -0.3972, -0.431, -0.4327, -0.5202, -0.502, -0.4642, -0.4802, -0.4601, -0.486, -0.5134, -0.4906, -0.4897, -0.4629, -0.3988, -0.3777, -0.4124, -0.4101, -0.4308, -0.4403, -0.4202, -0.3893, -0.4227, -0.4829, -0.4962, -0.5208, -0.4121, -0.4549, -0.4551, -0.455, -0.4512, -0.4783, -0.4787, -0.4787, -0.5087, -0.486, -0.4585, -0.4395, -0.3846, -0.3826, -0.3693, -0.3906, -0.3942, -0.3797, -0.3947, -0.4053, -0.4034, -0.3849, -0.3558, -0.3124, -0.2785, -0.2491, -0.2596, -0.2441, -0.2612, -0.2574, -0.2773, -0.2634, -0.2671, -0.2671, -0.2163, -0.2292, -0.2259, -0.2517, -0.2599, -0.2565, -0.2829, -0.3851, -0.3626, -0.3335, -0.2957]}
{"unit_id": "quote:816303747735388160", "ticker_idx": 0, "ts": "2017-01-03T15:22:34+00:00", "symbol": "DXY", "kind": "macro", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": false, "explicit_audit": "kept_implicit_alias_present", "polarity_reversed": false, "quote": "the #dollar will curb this move higher", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Dollar strengthening will limit manufacturer pricing power; bullish USD view.", "resolved_tickers": ["UUP"], "resolution_method": "etf", "resolution_reason": "DXY dollar index; UUP ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "...though the #dollar will curb this move higher. https://t.co/8ukvuW0XfA", "reply_text": null, "parent_text": null, "quoted_text": "And pricing power for manufacturers is surging. https://t.co/AvibmjjKje https://t.co/0vMAbzXstc", "parent_author": null, "ret_m1d": -0.00898887299992035, "ret_signed_m1d": -0.00898887299992035, "alpha_spy_m1d": -0.001396979117579522, "alpha_c_m1d": -0.001396979117579522, "bench_spy_m1d": -0.007591893882340828, "bench_c_m1d": -0.007591893882340828, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.007490713248033409, "ret_signed_p1d": -0.007490713248033409, "alpha_spy_p1d": -0.013439956561657085, "alpha_c_p1d": -0.013439956561657085, "bench_spy_p1d": 0.0059492433136236755, "bench_c_p1d": 0.0059492433136236755, "ret_p1w": -0.013108726806208115, "ret_signed_p1w": -0.013108726806208115, "alpha_spy_p1w": -0.018525354306100916, "alpha_c_p1w": -0.018525354306100916, "bench_spy_p1w": 0.005416627499892801, "bench_c_p1w": 0.005416627499892801, "ret_p1m": -0.03558052450470295, "ret_signed_p1m": -0.03558052450470295, "alpha_spy_p1m": -0.04614700081169487, "alpha_c_p1m": -0.04614700081169487, "bench_spy_p1m": 0.010566476306991923, "bench_c_p1m": 0.010566476306991923, "ret_p3m": -0.02808981125666954, "ret_signed_p3m": -0.02808981125666954, "alpha_spy_p3m": -0.0792600046068811, "alpha_c_p3m": -0.0792600046068811, "bench_spy_p3m": 0.05117019335021156, "bench_c_p3m": 0.05117019335021156, "ret_p6m": -0.07003742919549083, "ret_signed_p6m": -0.07003742919549083, "alpha_spy_p6m": -0.16105980831845734, "alpha_c_p6m": -0.16105980831845734, "bench_spy_p6m": 0.09102237912296651, "bench_c_p6m": 0.09102237912296651, "price_path": [-0.0637, -0.0652, -0.0614, -0.0543, -0.0517, -0.0551, -0.0502, -0.0524, -0.0517, -0.0513, -0.0483, -0.0449, -0.0438, -0.0442, -0.0446, -0.0427, -0.0483, -0.0479, -0.0528, -0.0562, -0.0588, -0.0614, -0.0536, -0.0509, -0.0449, -0.0431, -0.0416, -0.0322, -0.0307, -0.0281, -0.0225, -0.0191, -0.0228, -0.0213, -0.0154, -0.0154, -0.0172, -0.0199, -0.0221, -0.0169, -0.0221, -0.0243, -0.0307, -0.027, -0.03, -0.0213, -0.0172, -0.0228, -0.0217, -0.0124, -0.0015, -0.0049, -0.0019, 0.0, -0.003, -0.0019, -0.0026, -0.0026, -0.003, -0.0004, -0.006, -0.009, -0.009, 0.0, -0.0075, -0.018, -0.0109, -0.0135, -0.0131, -0.0154, -0.0191, -0.0202, -0.0202, -0.0292, -0.0202, -0.0217, -0.0251, -0.0303, -0.03, -0.0333, -0.027, -0.0266, -0.0285, -0.0363, -0.0356, -0.0341, -0.0345, -0.0337, -0.0288, -0.03, -0.0262, -0.0251, -0.0228, -0.0206, -0.0225, -0.0281, -0.0232, -0.0232, -0.0187, -0.021, -0.0232, -0.0213, -0.0213, -0.0221, -0.0154, -0.0112, -0.0199, -0.0165, -0.0154, -0.012, -0.0139, -0.0206, -0.0191, -0.0157, -0.0273, -0.0307, -0.0303, -0.03, -0.036, -0.0367, -0.0356, -0.036, -0.0412, -0.036, -0.0341, -0.0277, -0.0281, -0.0281, -0.027, -0.0273, -0.0251, -0.0206, -0.0225, -0.0255, -0.0303, -0.027, -0.027, -0.0296, -0.0378, -0.0345, -0.0341, -0.0333, -0.0423, -0.0449, -0.0427, -0.0412, -0.0423, -0.0416, -0.0431, -0.0393, -0.0453, -0.0468, -0.0416, -0.0367, -0.0363, -0.036, -0.0408, -0.0434, -0.0506, -0.0569, -0.0536, -0.0603, -0.0618, -0.0577, -0.0607, -0.0596, -0.0573, -0.0573, -0.0584, -0.0607, -0.0596, -0.064, -0.0633, -0.0655, -0.0644, -0.061, -0.0581, -0.0596, -0.0607, -0.0614, -0.0558, -0.0592, -0.0551, -0.0536, -0.0554, -0.0551, -0.0581, -0.0566, -0.067, -0.07]}
{"unit_id": "quote:1907805967716139357", "ticker_idx": 0, "ts": "2025-04-03T14:42:42+00:00", "symbol": "biotechnology", "kind": "sector", "geography": "US", "sub_sector": null, "direction": "long", "conviction": "low", "explicit": false, "explicit_audit": "kept_implicit_alias_present", "polarity_reversed": false, "quote": "This shift could resuscitate ROIs in the biotech space significantly", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish US biotech sector: RFK-led HHS shift from sick care to early diagnosis/cures could significantly revive returns.", "resolved_tickers": ["XBI"], "resolution_method": "etf", "resolution_reason": "US biotech sector; XBI is standard ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Investors in the health care/multiomics space seem to be missing an impending shift from “sick care” to early diagnoses and cures, championed by Robert Kennedy and new HHS talent like Scott Steele. This shift could resuscitate ROIs in the biotech space significantly.", "reply_text": null, "parent_text": null, "quoted_text": "FDA shakeup: Scott Steele is now acting director of CBER.\n\nUnlike his predecessors, Steele isn’t an MD — but a molecular biologist turned science policy expert with deep White House + FDA experience. He co-authored a key 2022 paper advocating agile regulatory ecosystems to", "parent_author": null, "ret_m1d": 0.03135378749162743, "ret_signed_m1d": 0.03135378749162743, "alpha_spy_m1d": -0.020481382933076553, "alpha_c_m1d": -0.020481382933076553, "bench_spy_m1d": 0.05183517042470398, "bench_c_m1d": 0.05183517042470398, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.05733315236644421, "ret_signed_p1d": -0.05733315236644421, "alpha_spy_p1d": 0.0012099148940363236, "alpha_c_p1d": 0.0012099148940363236, "bench_spy_p1d": -0.05854306726048053, "bench_c_p1d": -0.05854306726048053, "ret_p1w": -0.08356809214023886, "ret_signed_p1w": -0.08356809214023886, "alpha_spy_p1w": -0.060985590967541636, "alpha_c_p1w": -0.060985590967541636, "bench_spy_p1w": -0.022582501172697222, "bench_c_p1w": -0.022582501172697222, "ret_p1m": 0.06859471534218664, "ret_signed_p1m": 0.06859471534218664, "alpha_spy_p1m": 0.012585916260007712, "alpha_c_p1m": 0.012585916260007712, "bench_spy_p1m": 0.05600879908217893, "bench_c_p1m": 0.05600879908217893, "ret_p3m": 0.06331015552536168, "ret_signed_p3m": 0.06331015552536168, "alpha_spy_p3m": -0.09092109000441329, "alpha_c_p3m": -0.09092109000441329, "bench_spy_p3m": 0.15423124552977496, "bench_c_p3m": 0.15423124552977496, "ret_p6m": 0.25397980977897383, "ret_signed_p6m": 0.25397980977897383, "alpha_spy_p6m": 0.013777151143931299, "alpha_c_p6m": 0.013777151143931299, "bench_spy_p6m": 0.24020265863504253, "bench_c_p6m": 0.24020265863504253, "price_path": [0.18, 0.1884, 0.1813, 0.1813, 0.1445, 0.1406, 0.109, 0.1332, 0.1247, 0.1257, 0.1257, 0.1582, 0.1672, 0.1898, 0.1832, 0.1851, 0.1924, 0.1847, 0.197, 0.1859, 0.1699, 0.1846, 0.2119, 0.1948, 0.1676, 0.1561, 0.1396, 0.1513, 0.1616, 0.1698, 0.1698, 0.1687, 0.1841, 0.1865, 0.1735, 0.1531, 0.1349, 0.1293, 0.1146, 0.1352, 0.0954, 0.1022, 0.1238, 0.1141, 0.1172, 0.1036, 0.1027, 0.1152, 0.1001, 0.115, 0.1298, 0.1027, 0.1192, 0.1081, 0.1149, 0.1367, 0.1144, 0.0888, 0.0946, 0.0801, 0.0379, 0.0003, 0.0314, 0.0, -0.0573, -0.0659, -0.1067, -0.0417, -0.0836, -0.0488, -0.0205, -0.0205, -0.0385, -0.0283, -0.0283, -0.0337, -0.0064, 0.0123, 0.0352, 0.027, 0.0413, 0.0479, 0.0616, 0.0558, 0.0686, 0.0577, -0.0124, -0.0101, -0.0013, -0.0224, 0.0168, -0.0076, -0.0227, -0.0072, 0.0113, 0.0202, 0.0417, 0.0152, 0.0142, 0.0115, 0.0115, 0.0148, 0.0081, 0.0297, 0.0134, 0.0397, 0.0537, 0.0555, 0.0566, 0.0783, 0.0784, 0.0914, 0.0797, 0.0796, 0.0699, 0.0669, 0.0507, 0.0578, 0.0578, 0.0543, 0.0529, 0.0728, 0.0657, 0.071, 0.0624, 0.0614, 0.0633, 0.0852, 0.091, 0.091, 0.0697, 0.0842, 0.1246, 0.1311, 0.1137, 0.1297, 0.0995, 0.124, 0.1278, 0.1041, 0.099, 0.11, 0.1291, 0.1198, 0.1213, 0.108, 0.0986, 0.1038, 0.0963, 0.0998, 0.1112, 0.1116, 0.1023, 0.092, 0.0934, 0.0899, 0.1125, 0.1457, 0.1464, 0.1606, 0.1546, 0.1365, 0.1419, 0.1509, 0.1637, 0.1364, 0.1506, 0.1556, 0.1556, 0.15, 0.15, 0.1887, 0.1986, 0.1963, 0.2219, 0.2086, 0.2156, 0.2018, 0.2248, 0.2046, 0.1958, 0.1997, 0.2001, 0.2374, 0.2235, 0.2457, 0.2389, 0.2475, 0.2272, 0.254]}
{"unit_id": "quote:1131326729174364160", "ticker_idx": 0, "ts": "2019-05-22T22:31:25+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$TSLA is an #EV company morphing into a transportation-as-a-service (think SaaS) company", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish TSLA: dismisses pure-auto valuation concerns, positioning it as a SaaS/TaaS company disrupting traditional auto.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "Ah, we forgot to mention in our analysis of batteries, artificial intelligence, robots, and autonomous systems that, as it disrupts most other traditional #auto companies, $TSLA is an #EV company morphing into a transportation-as-a-service (think SaaS) company.", "reply_text": null, "parent_text": null, "quoted_text": "@ARKInvest You understand that at $4000/share  that values this company at almost $700B? For a car company that’s outrageous", "parent_author": null, "ret_m1d": 0.06407923695765194, "ret_signed_m1d": 0.06407923695765194, "alpha_spy_m1d": 0.06099872399821993, "alpha_c_m1d": 0.05370446520475669, "bench_spy_m1d": 0.0030805129594320135, "bench_c_m1d": 0.010374771752895251, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.014320552722358215, "ret_signed_p1d": 0.014320552722358215, "alpha_spy_p1d": 0.02653953730710279, "alpha_c_p1d": 0.0267006813543611, "bench_spy_p1d": -0.012218984584744574, "bench_c_p1d": -0.012380128632002885, "ret_p1w": -0.014891332197811247, "ret_signed_p1w": -0.014891332197811247, "alpha_spy_p1w": 0.01087660779024291, "alpha_c_p1w": 0.011438199214178324, "bench_spy_p1w": -0.025767939988054156, "bench_c_p1w": -0.02632953141198957, "ret_p1m": 0.13952151311634897, "ret_signed_p1m": 0.13952151311634897, "alpha_spy_p1m": 0.10370641363332189, "alpha_c_p1m": 0.08904222608928936, "bench_spy_p1m": 0.03581509948302708, "bench_c_p1m": 0.050479287027059616, "ret_p3m": 0.1769313945337585, "ret_signed_p3m": 0.1769313945337585, "alpha_spy_p3m": 0.14849693036249745, "alpha_c_p3m": 0.15030029770312248, "bench_spy_p3m": 0.028434464171261054, "bench_c_p3m": 0.026631096830636025, "ret_p6m": 0.8126394475864118, "ret_signed_p6m": 0.8126394475864118, "alpha_spy_p6m": 0.7185951455094584, "alpha_c_p6m": 0.7492482703912495, "bench_spy_p6m": 0.09404430207695347, "bench_c_p6m": 0.0633911771951623, "price_path": [0.5291, 0.5502, 0.5455, 0.6331, 0.6597, 0.5295, 0.4806, 0.4349, 0.4333, 0.4351, 0.4743, 0.5095, 0.4702, 0.4993, 0.5045, 0.4291, 0.3983, 0.3878, 0.4196, 0.4218, 0.3725, 0.3512, 0.3894, 0.426, 0.4456, 0.4521, 0.5004, 0.4833, 0.5141, 0.3894, 0.4267, 0.4175, 0.4129, 0.4324, 0.3927, 0.389, 0.3821, 0.4184, 0.4073, 0.4178, 0.4178, 0.3633, 0.3693, 0.3421, 0.2849, 0.22, 0.2529, 0.2385, 0.2142, 0.2665, 0.3233, 0.3249, 0.2819, 0.2704, 0.2555, 0.2428, 0.1779, 0.2054, 0.2035, 0.1847, 0.095, 0.0655, 0.0641, 0.0, 0.0143, -0.0109, -0.0109, -0.0209, -0.0149, -0.0234, -0.0393, -0.0714, 0.0045, 0.02, 0.0686, 0.0611, 0.1046, 0.1264, 0.0858, 0.1099, 0.1151, 0.1676, 0.1661, 0.1749, 0.1395, 0.1511, 0.1604, 0.1402, 0.1377, 0.1562, 0.1594, 0.1787, 0.1651, 0.2188, 0.2188, 0.2095, 0.1951, 0.1937, 0.2397, 0.238, 0.2716, 0.3153, 0.3095, 0.3224, 0.3155, 0.3396, 0.3266, 0.3499, 0.3744, 0.1873, 0.1832, 0.2233, 0.257, 0.2536, 0.2134, 0.2159, 0.1847, 0.1973, 0.2111, 0.2364, 0.2194, 0.1882, 0.2193, 0.1395, 0.1189, 0.1412, 0.1769, 0.1719, 0.1458, 0.1526, 0.0969, 0.1156, 0.1108, 0.1186, 0.1504, 0.1706, 0.1706, 0.1675, 0.145, 0.1912, 0.1801, 0.2027, 0.2221, 0.2821, 0.2757, 0.2722, 0.2598, 0.2701, 0.2634, 0.2795, 0.2485, 0.2516, 0.1581, 0.1866, 0.2585, 0.2563, 0.2498, 0.2696, 0.2615, 0.2091, 0.2008, 0.2334, 0.2455, 0.2688, 0.2699, 0.2862, 0.3333, 0.3381, 0.3477, 0.3593, 0.3332, 0.3153, 0.3261, 0.3214, 0.5549, 0.7025, 0.7004, 0.6407, 0.6345, 0.634, 0.6256, 0.6472, 0.6459, 0.6945, 0.741, 0.7493, 0.7905, 0.8156, 0.7958, 0.8126]}
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{"unit_id": "quote:867707600414138374", "ticker_idx": 0, "ts": "2017-05-25T11:43:07+00:00", "symbol": "ILMN", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "science-based decisions will rescue us in the #genomic revolution! $ILMN $NVTA", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish on ILMN and NVTA as beneficiaries of genomic revolution fixing wasteful healthcare spending.", "resolved_tickers": ["ILMN"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLV", "bench_c_reason": "industry='Diagnostics & Research'", "bench_c_industry": "Diagnostics & Research", "unit_kind": "quote", "lang": "en", "tweet_text": "More than half of #healthcare spending is wasted, at best:  science-based decisions will rescue us in the #genomic revolution! $ILMN $NVTA https://t.co/ogKjZe4Lgk", "reply_text": null, "parent_text": null, "quoted_text": ". @EricTopol on what we get for $3.4T: &gt;60% False +s in screenings, 1/4 Inpatients harmed, 12M Dx errors, 75% drug unresponsive #BigDataMed https://t.co/nc5suImhDM", "parent_author": null, "ret_m1d": 0.004143673466145303, "ret_signed_m1d": 0.004143673466145303, "alpha_spy_m1d": 0.008900822527776908, "alpha_c_m1d": 0.008878935881035721, "bench_spy_m1d": -0.004757149061631605, "bench_c_m1d": -0.004735262414890418, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.012373425494808465, "ret_signed_p1d": 0.012373425494808465, "alpha_spy_p1d": 0.012580283379583945, "alpha_c_p1d": 0.0142151239331757, "bench_spy_p1d": -0.00020685788477547984, "bench_c_p1d": -0.0018416984383672341, "ret_p1w": 0.03965237593872706, "ret_signed_p1w": 0.03965237593872706, "alpha_spy_p1w": 0.03303423377437209, "alpha_c_p1w": 0.02794646176287796, "bench_spy_p1w": 0.006618142164354968, "bench_c_p1w": 0.011705914175849097, "ret_p1m": 0.06629832408760605, "ret_signed_p1m": 0.06629832408760605, "alpha_spy_p1m": 0.05572724565855269, "alpha_c_p1m": 0.003697267903489898, "bench_spy_p1m": 0.01057107842905336, "bench_c_p1m": 0.06260105618411616, "ret_p3m": 0.12085631524958673, "ret_signed_p3m": 0.12085631524958673, "alpha_spy_p3m": 0.10068395939666952, "alpha_c_p3m": 0.0737050302100164, "bench_spy_p3m": 0.020172355852917212, "bench_c_p3m": 0.047151285039570334, "ret_p6m": 0.20292354619585207, "ret_signed_p6m": 0.20292354619585207, "alpha_spy_p6m": 0.12580828057162208, "alpha_c_p6m": 0.12620599228511709, "bench_spy_p6m": 0.07711526562422999, "bench_c_p6m": 0.07671755391073498, "price_path": [-0.0399, -0.0366, -0.0285, -0.0348, -0.0303, -0.0407, -0.0471, -0.0539, -0.0534, -0.0376, -0.0394, -0.0514, -0.0449, -0.0823, -0.0768, -0.0591, -0.059, -0.0344, -0.0349, -0.0183, -0.0085, -0.017, -0.0063, -0.0035, -0.018, -0.0173, -0.0221, -0.0361, -0.0191, -0.0079, -0.0129, 0.0072, -0.0047, -0.0005, -0.0005, 0.0038, 0.0088, 0.0246, 0.0196, 0.0088, 0.0371, 0.0445, 0.0623, 0.0574, 0.0639, 0.0751, 0.0745, 0.0803, 0.0868, 0.077, 0.0627, 0.0566, 0.0481, 0.0459, 0.0496, 0.0362, 0.0258, 0.0104, 0.0123, 0.0187, 0.0067, 0.0055, 0.0041, 0.0, 0.0124, 0.0124, -0.001, 0.0207, 0.0397, 0.0577, 0.0446, 0.0327, 0.031, 0.0226, 0.0018, -0.0132, -0.0017, -0.0067, -0.0099, -0.0109, 0.0163, 0.0089, 0.0208, 0.0531, 0.0663, 0.041, 0.015, 0.0417, 0.0172, -0.0014, 0.0021, 0.0021, 0.0034, -0.0083, -0.0095, -0.0274, -0.0035, -0.0031, -0.0044, -0.0082, -0.0116, -0.0006, 0.0007, -0.0103, -0.0058, 0.0013, 0.0005, 0.0146, 0.0033, 0.0067, 0.0005, -0.0084, 0.1386, 0.1422, 0.1192, 0.1486, 0.1373, 0.1466, 0.1202, 0.1179, 0.1211, 0.116, 0.1173, 0.1004, 0.0895, 0.0974, 0.1209, 0.1143, 0.1163, 0.1061, 0.134, 0.1276, 0.1495, 0.1767, 0.1922, 0.1922, 0.1926, 0.1937, 0.2097, 0.2067, 0.2215, 0.2312, 0.2283, 0.2145, 0.2127, 0.2051, 0.1795, 0.1688, 0.1524, 0.1591, 0.159, 0.142, 0.1381, 0.1453, 0.1464, 0.1638, 0.1652, 0.1842, 0.1843, 0.1751, 0.1698, 0.1749, 0.1895, 0.1984, 0.1908, 0.1869, 0.1883, 0.1834, 0.1808, 0.2079, 0.2175, 0.2133, 0.1789, 0.1988, 0.2088, 0.1729, 0.1809, 0.1956, 0.2018, 0.2315, 0.2039, 0.2186, 0.2155, 0.2063, 0.2025, 0.2036, 0.1858, 0.1822, 0.2, 0.2029]}
{"unit_id": "quote:931637859487948800", "ticker_idx": 0, "ts": "2017-11-17T21:39:09+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "#bitcoin is an important part of a new asset class. the financial services ecosystem necessary to catapult it into prime time - futures, options, #custody - is evolving more rapidly than I expected. Good news for investors looking for uncorrelated asset classes!", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish BTC: institutional infrastructure (futures, options, custody) evolving faster than expected, good for investors seeking uncorrelated assets.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "#bitcoin is an important part of a new asset class.  the financial services ecosystem necessary to catapult it into prime time - futures, options, #custody - is evolving more rapidly than I expected.  Good news for investors looking for uncorrelated asset classes! https://t.co/Mn5ZKtp8qD", "reply_text": null, "parent_text": null, "quoted_text": "Meet @Coinbase Custody:\n\n\"Coinbase Custody is only available to institutional investors with a minimum of $10M in deposits”\n\nThis is a major point in the life of Bitcoin answering the huge demand and requirements of institutional investors.\n\nhttps://t.co/vPHdzZ46tp", "parent_author": null, "ret_m1d": 0.02110519044449677, "ret_signed_m1d": 0.02110519044449677, "alpha_spy_m1d": 0.018157840802170977, "alpha_c_m1d": null, "bench_spy_m1d": 0.0029473496423257917, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.06377611063381505, "ret_signed_p1d": 0.06377611063381505, "alpha_spy_p1d": 0.06206970763564912, "alpha_c_p1d": null, "bench_spy_p1d": 0.0017064029981659345, "bench_c_p1d": null, "ret_p1w": 0.07065778769359943, "ret_signed_p1w": 0.07065778769359943, "alpha_spy_p1w": 0.06096280756739647, "alpha_c_p1w": null, "bench_spy_p1w": 0.009694980126202957, "bench_c_p1w": null, "ret_p1m": 1.479468599339803, "ret_signed_p1m": 1.479468599339803, "alpha_spy_p1m": 1.434052884917008, "alpha_c_p1m": null, "bench_spy_p1m": 0.045415714422794906, "bench_c_p1m": null, "ret_p3m": 0.231630809502805, "ret_signed_p3m": 0.231630809502805, "alpha_spy_p3m": 0.18079706959343667, "alpha_c_p3m": null, "bench_spy_p3m": 0.05083373990936835, "bench_c_p3m": null, "ret_p6m": 0.13073045548736606, "ret_signed_p6m": 0.13073045548736606, "alpha_spy_p6m": 0.06242088376397481, "alpha_c_p6m": null, "bench_spy_p6m": 0.06830957172339125, "bench_c_p6m": null, "price_path": [-0.4681, -0.4615, -0.4377, -0.4329, -0.4315, -0.406, -0.4078, -0.3899, -0.3654, -0.4505, -0.4323, -0.4037, -0.4033, -0.4515, -0.4602, -0.4642, -0.4964, -0.5907, -0.5281, -0.4727, -0.4909, -0.4933, -0.529, -0.529, -0.4907, -0.4951, -0.4551, -0.4585, -0.46, -0.428, -0.4399, -0.4514, -0.4385, -0.433, -0.381, -0.3797, -0.3739, -0.2934, -0.2675, -0.2573, -0.2729, -0.2748, -0.2595, -0.2202, -0.2307, -0.2831, -0.254, -0.234, -0.2501, -0.2048, -0.1609, -0.1222, -0.0818, -0.065, -0.089, -0.0732, -0.0323, -0.0733, -0.1415, -0.1491, -0.1392, -0.051, 0.0211, 0.0, 0.0638, 0.047, 0.0706, 0.0428, 0.0707, 0.2736, 0.3048, 0.2827, 0.3275, 0.4237, 0.5122, 0.5458, 0.8539, 1.3219, 1.1494, 1.197, 1.2591, 1.1284, 1.1487, 1.2969, 1.4795, 1.306, 1.1565, 1.0499, 0.7942, 0.8195, 1.0884, 1.0545, 0.8947, 0.9012, 0.7716, 0.9435, 0.9719, 1.0235, 1.2609, 0.9678, 0.8933, 0.9423, 0.739, 0.8135, 0.7927, 0.4905, 0.4514, 0.4885, 0.5057, 0.418, 0.4098, 0.4735, 0.4606, 0.4491, 0.4654, 0.311, 0.3259, 0.1896, 0.1455, -0.0978, 0.0058, -0.0114, 0.0722, 0.1333, 0.1579, 0.1154, 0.2316, 0.3188, 0.3275, 0.4561, 0.4793, 0.3867, 0.2978, 0.3362, 0.3448, 0.3913, 0.3488, 0.4205, 0.4381, 0.5013, 0.3984, 0.2927, 0.2187, 0.2113, 0.1941, 0.1927, 0.0727, 0.0768, 0.0816, 0.1196, 0.1562, 0.1583, 0.1322, 0.1519, 0.0649, 0.0161, 0.0318, -0.0705, -0.1062, -0.0811, -0.0328, -0.1109, -0.1164, -0.1391, -0.1217, -0.1134, -0.0961, 0.0234, 0.0243, 0.0454, 0.025, 0.0589, 0.0759, 0.1475, 0.1585, 0.2579, 0.1475, 0.204, 0.1658, 0.1987, 0.1829, 0.1981, 0.264, 0.2584, 0.2159, 0.1979, 0.2096, 0.1732, 0.095, 0.1307]}
{"unit_id": "thread:1894473975742284278", "ticker_idx": 0, "ts": "2025-02-25T19:46:08+00:00", "symbol": "S&P 500", "kind": "index", "geography": "US", "sub_sector": null, "direction": "long", "conviction": "high", "explicit": false, "explicit_audit": "kept_implicit", "polarity_reversed": false, "quote": "the Trump Revolution could dwarf the Reagan Revolution for years", "tweet_type": "prediction", "timeline": "years", "summary": "Bullish US equities for years as Trump tax cuts + DOGE resolve near-term uncertainty and unleash growth surpassing the Reagan Revolution.", "resolved_tickers": ["SPY"], "resolution_method": "etf", "resolution_reason": "S&P 500 index; SPY is standard ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "self_thread", "lang": "en", "tweet_text": "Another short-term uncertainty weighing on the velocity of money—suggesting monetary policy could be tighter than the Fed appreciates—is tax policy. In anticipation of lower tax rates, consumers and businesses could be delaying income recognition, as in the early Reagan years.\n\n---\n\nOne of the lessons learned from the first Reagan Administration was the importance of making tax policy effective in real-time or, better yet, retroactively. Reagan phased in his cut over three years and faced back-to-back recessions spanning his first three years in office.\n\n---\n\nThereafter, we enjoyed the Reagan Revolution which lasted for years beyond his second term. #DOGE is giving the Trump Administration degrees of freedom to cut tax rates. Like Art Laffer, I believe that tax rate changes provide much more powerful incentives than tax rebates.\n\n---\n\nI believe that Trump and team understand this imperative, and that they will work decisively to resolve uncertainties that have been hitting the equity market in recent days. If so, the Trump Revolution could dwarf the Reagan Revolution for years.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.004998116562630495, "ret_signed_m1d": 0.004998116562630495, "alpha_spy_m1d": 0.0, "alpha_c_m1d": 0.0, "bench_spy_m1d": 0.004998116562630495, "bench_c_m1d": 0.004998116562630495, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0005047507949251795, "ret_signed_p1d": 0.0005047507949251795, "alpha_spy_p1d": 0.0, "alpha_c_p1d": 0.0, "bench_spy_p1d": 0.0005047507949251795, "bench_c_p1d": 0.0005047507949251795, "ret_p1w": -0.029247515972747218, "ret_signed_p1w": -0.029247515972747218, "alpha_spy_p1w": 0.0, "alpha_c_p1w": 0.0, "bench_spy_p1w": -0.029247515972747218, "bench_c_p1w": -0.029247515972747218, "ret_p1m": -0.040286074077701794, "ret_signed_p1m": -0.040286074077701794, "alpha_spy_p1m": 0.0, "alpha_c_p1m": 0.0, "bench_spy_p1m": -0.040286074077701794, "bench_c_p1m": -0.040286074077701794, "ret_p3m": -0.022529662184797794, "ret_signed_p3m": -0.022529662184797794, "alpha_spy_p3m": 0.0, "alpha_c_p3m": 0.0, "bench_spy_p3m": -0.022529662184797794, "bench_c_p3m": -0.022529662184797794, "ret_p6m": 0.08023974620746577, "ret_signed_p6m": 0.08023974620746577, "alpha_spy_p6m": 0.0, "alpha_c_p6m": 0.0, "bench_spy_p6m": 0.08023974620746577, "bench_c_p6m": 0.08023974620746577, "price_path": [0.0043, 0.0106, 0.0124, 0.0129, 0.0192, 0.0175, 0.0194, 0.0142, 0.011, 0.0188, 0.0136, 0.0134, 0.0177, 0.0135, -0.0167, -0.017, -0.0052, 0.0008, 0.0119, 0.0119, 0.0119, 0.0013, -0.0101, -0.0137, -0.0137, -0.0162, -0.0039, 0.0019, -0.0094, -0.008, -0.008, -0.0231, -0.0216, -0.0203, -0.0025, -0.0044, 0.0056, 0.0056, 0.0148, 0.0205, 0.0261, 0.0231, 0.0086, 0.0173, 0.0127, 0.0182, 0.0128, 0.0059, 0.0127, 0.0168, 0.0203, 0.011, 0.0179, 0.0186, 0.0153, 0.0261, 0.026, 0.026, 0.029, 0.0315, 0.0272, 0.0096, 0.005, 0.0, 0.0005, -0.0155, -0.0001, -0.0176, -0.0292, -0.0188, -0.0362, -0.0308, -0.0566, -0.0645, -0.0595, -0.0721, -0.0529, -0.0456, -0.0559, -0.0456, -0.0484, -0.0481, -0.031, -0.0287, -0.0403, -0.0428, -0.0621, -0.0558, -0.0531, -0.0472, -0.0941, -0.1471, -0.1487, -0.162, -0.074, -0.1146, -0.0988, -0.09, -0.0926, -0.1127, -0.1115, -0.1115, -0.1326, -0.1101, -0.0963, -0.0773, -0.0706, -0.0702, -0.0644, -0.064, -0.0574, -0.0434, -0.0489, -0.0568, -0.0528, -0.0462, -0.0475, -0.016, -0.0095, -0.0082, -0.0034, 0.0029, 0.004, 0.0007, -0.0162, -0.0158, -0.0225, -0.0225, -0.0022, -0.008, -0.0041, -0.0052, 0.0004, 0.0061, 0.0059, 0.001, 0.0113, 0.0122, 0.0179, 0.015, 0.0191, 0.0077, 0.0173, 0.0086, 0.0084, 0.0084, 0.006, 0.016, 0.0272, 0.0278, 0.0358, 0.041, 0.0459, 0.0456, 0.0503, 0.0586, 0.0586, 0.0507, 0.0502, 0.0565, 0.0594, 0.0557, 0.0577, 0.0532, 0.0567, 0.0632, 0.0624, 0.0644, 0.0646, 0.0736, 0.074, 0.0785, 0.0783, 0.0754, 0.0741, 0.07, 0.0525, 0.0685, 0.0631, 0.0712, 0.0703, 0.0787, 0.0765, 0.088, 0.0917, 0.0918, 0.0893, 0.089, 0.0831, 0.0802]}
{"unit_id": "quote:1010632409069576192", "ticker_idx": 0, "ts": "2018-06-23T21:15:17+00:00", "symbol": "AMZN", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Now that it has identified advertising as a priority, $AMZN could become a spoiler", "tweet_type": "analysis", "timeline": "unspecified", "summary": "AMZN ad push seen as spoiler to FB pricing power and GOOG search share at point of sale.", "resolved_tickers": ["AMZN"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Internet Retail'", "bench_c_industry": "Internet Retail", "unit_kind": "quote", "lang": "en", "tweet_text": "Now that it has identified advertising as a priority, $AMZN could become a spoiler, disturbing the soaring ad pricing at $FB and taking share from $GOOG in the search market (right at the point of sale).  In 2017, ad revenues were $95B at GOOG, $40B at FB, and only $2.8B at AMZN. https://t.co/a7sYiJPgFH", "reply_text": null, "parent_text": null, "quoted_text": "5/ At the current rate (or even a bit slower), internet advertising will capture 50% of ALL advertising by next year vs. industry forecasts of ~2023. \n\nThis internet thing..it's not slowing down guys. https://t.co/dRXctMrkol", "parent_author": null, "ret_m1d": 0.031578623841931996, "ret_signed_m1d": 0.031578623841931996, "alpha_spy_m1d": 0.01777803417051249, "alpha_c_m1d": 0.00935653067327169, "bench_spy_m1d": 0.013800589671419505, "bench_c_m1d": 0.022222093168660306, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.016799393006361685, "ret_signed_p1d": 0.016799393006361685, "alpha_spy_p1d": 0.014585318342093201, "alpha_c_p1d": 0.009636970601282213, "bench_spy_p1d": 0.002214074664268484, "bench_c_p1d": 0.007162422405079472, "ret_p1w": 0.030442253950137665, "ret_signed_p1w": 0.030442253950137665, "alpha_spy_p1w": 0.02726865178418203, "alpha_c_p1w": 0.02539222047079437, "bench_spy_p1w": 0.0031736021659556357, "bench_c_p1w": 0.005050033479343297, "ret_p1m": 0.09986467418130163, "ret_signed_p1m": 0.09986467418130163, "alpha_spy_p1m": 0.060713135756211845, "alpha_c_p1m": 0.07415330790280628, "bench_spy_p1m": 0.03915153842508978, "bench_c_p1m": 0.02571136627849535, "ret_p3m": 0.16904662731361286, "ret_signed_p3m": 0.16904662731361286, "alpha_spy_p3m": 0.08572529838166076, "alpha_c_p3m": 0.08741223803219156, "bench_spy_p3m": 0.0833213289319521, "bench_c_p3m": 0.0816343892814213, "ret_p6m": -0.06714371693692078, "ret_signed_p6m": -0.06714371693692078, "alpha_spy_p6m": -0.012659275370572542, "alpha_c_p6m": 0.0071409798129355995, "bench_spy_p6m": -0.05448444156634824, "bench_c_p6m": -0.07428469674985638, "price_path": [-0.1393, -0.1298, -0.1298, -0.1751, -0.163, -0.1519, -0.1271, -0.1551, -0.1546, -0.1364, -0.142, -0.1291, -0.1397, -0.1333, -0.0958, -0.0814, -0.0639, -0.0816, -0.0874, -0.1221, -0.122, -0.0873, -0.0544, -0.0583, -0.0486, -0.0562, -0.0548, -0.0494, -0.0379, -0.0425, -0.0332, -0.0325, -0.0362, -0.037, -0.0523, -0.0456, -0.0489, -0.0534, -0.0467, -0.0492, -0.0369, -0.0361, -0.0319, -0.0319, -0.0302, -0.023, -0.0202, -0.013, 0.0013, 0.02, 0.0196, 0.0157, 0.0125, 0.0156, 0.0214, 0.0251, 0.0365, 0.0318, 0.0365, 0.0431, 0.0523, 0.0403, 0.0316, 0.0, 0.0168, -0.0016, 0.023, 0.022, 0.0304, 0.0185, 0.0185, 0.022, 0.0285, 0.0456, 0.0481, 0.0552, 0.0803, 0.0901, 0.0958, 0.1087, 0.1081, 0.0901, 0.0905, 0.0835, 0.0999, 0.1205, 0.0871, 0.0927, 0.0698, 0.0687, 0.0806, 0.1029, 0.0963, 0.111, 0.1199, 0.1343, 0.1415, 0.1342, 0.1401, 0.1542, 0.132, 0.1343, 0.1317, 0.1284, 0.1324, 0.1454, 0.1442, 0.1457, 0.1591, 0.1621, 0.2014, 0.204, 0.2102, 0.2102, 0.2263, 0.1994, 0.1775, 0.1737, 0.1659, 0.1948, 0.1965, 0.1964, 0.1846, 0.1472, 0.1671, 0.1583, 0.169, 0.1514, 0.1631, 0.1872, 0.1874, 0.2103, 0.2043, 0.2052, 0.1853, 0.1741, 0.1481, 0.1362, 0.121, 0.1246, 0.0554, 0.0338, 0.0754, 0.0588, 0.0943, 0.1014, 0.0647, 0.0607, 0.0758, 0.0635, 0.0006, 0.0716, -0.0122, -0.0747, -0.0798, -0.0392, 0.0014, 0.0014, -0.0213, -0.0122, 0.0555, 0.0552, 0.0296, -0.0158, -0.0192, -0.0386, -0.0263, -0.0419, -0.0907, -0.1008, -0.088, -0.088, -0.0969, -0.0492, -0.0491, 0.0088, 0.0063, 0.0162, 0.0657, 0.0032, 0.0032, 0.0217, -0.0205, -0.0133, -0.012, 0.0002, -0.0029, -0.0428, -0.0855, -0.0671]}
{"unit_id": "quote:1010632409069576192", "ticker_idx": 2, "ts": "2018-06-23T21:15:17+00:00", "symbol": "GOOG", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "taking share from $GOOG in the search market", "tweet_type": "analysis", "timeline": "unspecified", "summary": "AMZN ad push seen as spoiler to FB pricing power and GOOG search share at point of sale.", "resolved_tickers": ["GOOG"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLC", "bench_c_reason": "industry='Internet Content & Information'", "bench_c_industry": "Internet Content & Information", "unit_kind": "quote", "lang": "en", "tweet_text": "Now that it has identified advertising as a priority, $AMZN could become a spoiler, disturbing the soaring ad pricing at $FB and taking share from $GOOG in the search market (right at the point of sale).  In 2017, ad revenues were $95B at GOOG, $40B at FB, and only $2.8B at AMZN. https://t.co/a7sYiJPgFH", "reply_text": null, "parent_text": null, "quoted_text": "5/ At the current rate (or even a bit slower), internet advertising will capture 50% of ALL advertising by next year vs. industry forecasts of ~2023. \n\nThis internet thing..it's not slowing down guys. https://t.co/dRXctMrkol", "parent_author": null, "ret_m1d": 0.02726673548948999, "ret_signed_m1d": -0.02726673548948999, "alpha_spy_m1d": -0.013466145818070485, "alpha_c_m1d": -0.006235383058467381, "bench_spy_m1d": 0.013800589671419505, "bench_c_m1d": 0.02103135243102261, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.005645468361743289, "ret_signed_p1d": 0.005645468361743289, "alpha_spy_p1d": 0.007859543026011773, "alpha_c_p1d": 0.00730408239736513, "bench_spy_p1d": 0.002214074664268484, "bench_c_p1d": 0.0016586140356218415, "ret_p1w": 0.002355868704872588, "ret_signed_p1w": -0.002355868704872588, "alpha_spy_p1w": 0.0008177334610830478, "alpha_c_p1w": 0.005530950854459871, "bench_spy_p1w": 0.0031736021659556357, "bench_c_p1w": 0.007886819559332459, "ret_p1m": 0.10959179804823282, "ret_signed_p1m": -0.10959179804823282, "alpha_spy_p1m": -0.07044025962314304, "alpha_c_p1m": -0.06934894287595439, "bench_spy_p1m": 0.03915153842508978, "bench_c_p1m": 0.040242855172278436, "ret_p3m": 0.05517376121653372, "ret_signed_p3m": -0.05517376121653372, "alpha_spy_p3m": 0.028147567715418376, "alpha_c_p3m": -0.06629594306605813, "bench_spy_p3m": 0.0833213289319521, "bench_c_p3m": -0.011122181849524404, "ret_p6m": -0.08543672403360825, "ret_signed_p6m": 0.08543672403360825, "alpha_spy_p6m": 0.030952282467260006, "alpha_c_p6m": -0.04365804176453236, "bench_spy_p6m": -0.05448444156634824, "bench_c_p6m": -0.1290947657981406, "price_path": [-0.1069, -0.0827, -0.0827, -0.1052, -0.099, -0.0886, -0.0862, -0.1047, -0.0972, -0.0828, -0.0932, -0.0821, -0.0849, -0.0772, -0.045, -0.0469, -0.033, -0.0461, -0.051, -0.0932, -0.0921, -0.0754, -0.0842, -0.0956, -0.0778, -0.0893, -0.0899, -0.0681, -0.0623, -0.063, -0.0374, -0.0242, -0.0236, -0.0219, -0.0405, -0.0383, -0.0411, -0.052, -0.0402, -0.049, -0.0401, -0.0405, -0.0437, -0.0437, -0.0573, -0.0507, -0.0354, -0.0047, 0.0129, 0.0132, 0.0107, -0.0008, -0.0035, 0.0046, 0.0129, 0.0089, 0.0243, 0.0244, 0.0433, 0.0385, 0.04, 0.0292, 0.0273, 0.0, -0.0056, -0.0185, -0.0094, -0.0081, 0.0024, -0.0195, -0.0195, -0.0005, 0.0137, 0.026, 0.0249, 0.0259, 0.0522, 0.0569, 0.0525, 0.0658, 0.0632, 0.0553, 0.0534, 0.0717, 0.1096, 0.1235, 0.1276, 0.1011, 0.0844, 0.0822, 0.0846, 0.0901, 0.0879, 0.0889, 0.1044, 0.1074, 0.1105, 0.1003, 0.098, 0.1043, 0.0796, 0.0726, 0.0677, 0.0738, 0.0683, 0.0734, 0.0716, 0.0852, 0.104, 0.0945, 0.1107, 0.1016, 0.083, 0.083, 0.0642, 0.0548, 0.0415, 0.0356, 0.0354, 0.0467, 0.0338, 0.0449, 0.0424, 0.0278, 0.0324, 0.0411, 0.0552, 0.0367, 0.0432, 0.0532, 0.0495, 0.0621, 0.061, 0.0627, 0.0669, 0.0695, 0.0386, 0.0289, 0.0215, 0.0125, -0.0388, -0.0404, -0.0131, -0.0289, -0.0031, -0.0081, -0.0328, -0.0252, -0.021, -0.0188, -0.0659, -0.026, -0.0474, -0.0931, -0.0788, -0.0427, -0.0487, -0.0596, -0.0753, -0.0613, -0.0279, -0.0377, -0.0522, -0.0766, -0.0789, -0.0721, -0.0534, -0.0563, -0.0932, -0.0881, -0.0775, -0.0775, -0.0897, -0.0677, -0.0715, -0.0343, -0.0325, -0.027, -0.0163, -0.0658, -0.0658, -0.0499, -0.0784, -0.0758, -0.065, -0.0543, -0.0559, -0.0735, -0.0963, -0.0854]}
{"unit_id": "quote:1116286839357353984", "ticker_idx": 0, "ts": "2019-04-11T10:28:16+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "our investment time horizon is five years. Our conviction in $TSLA has increased in the last three months", "tweet_type": "prediction", "timeline": "years", "summary": "Increased conviction in TSLA on 5-year horizon; autonomy day on April 22 as catalyst.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "Not in the least: our investment time horizon is five years.  Our conviction in $TSLA has increased in the last three months.  Tune in to its #autonomy day on April 22.  It will put $LYFT to shame.", "reply_text": null, "parent_text": null, "quoted_text": "Hi Cathie, does it bother you that the stock you have a ten-fold + return target on has underperformed the Nasdaq by 36 percentage points in the past three months as the growth story rolled over? Just curious.", "parent_author": null, "ret_m1d": 0.02846281890594482, "ret_signed_m1d": 0.02846281890594482, "alpha_spy_m1d": 0.02818483033486019, "alpha_c_m1d": 0.029738361471258523, "bench_spy_m1d": 0.0002779885710846308, "bench_c_m1d": -0.0012755425653137031, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.00268238221889483, "ret_signed_p1d": -0.00268238221889483, "alpha_spy_p1d": -0.009448377199349878, "alpha_c_p1d": -0.00889044670904382, "bench_spy_p1d": 0.006765994980455048, "bench_c_p1d": 0.00620806449014899, "ret_p1w": 0.018031415400557638, "ret_signed_p1w": 0.018031415400557638, "alpha_spy_p1w": 0.011751459634240069, "alpha_c_p1w": 0.00374445378774535, "bench_spy_p1w": 0.006279955766317569, "bench_c_p1w": 0.014286961612812288, "ret_p1m": -0.10766706612126531, "ret_signed_p1m": -0.10766706612126531, "alpha_spy_p1m": -0.10728528731412657, "alpha_c_p1m": -0.10511598099063779, "bench_spy_p1m": -0.000381778807138744, "bench_c_p1m": -0.0025510851306275173, "ret_p3m": -0.142910398563882, "ret_signed_p3m": -0.142910398563882, "alpha_spy_p3m": -0.17908347036932892, "alpha_c_p3m": -0.18382005100808652, "bench_spy_p3m": 0.03617307180544693, "bench_c_p3m": 0.040909652444204525, "ret_p6m": -0.13780640056090632, "ret_signed_p6m": -0.13780640056090632, "alpha_spy_p6m": -0.16881699539297546, "alpha_c_p6m": -0.15853875459334144, "bench_spy_p6m": 0.031010594832069138, "bench_c_p6m": 0.02073235403243512, "price_path": [0.2458, 0.2832, 0.2892, 0.2939, 0.1261, 0.1261, 0.1136, 0.0714, 0.086, 0.1066, 0.1042, 0.1082, 0.1503, 0.1438, 0.1631, 0.1657, 0.1972, 0.1818, 0.1456, 0.1393, 0.1655, 0.1616, 0.1481, 0.1317, 0.147, 0.147, 0.1387, 0.1272, 0.085, 0.0979, 0.1131, 0.1097, 0.1726, 0.1917, 0.0982, 0.0631, 0.0303, 0.0291, 0.0304, 0.0586, 0.0838, 0.0557, 0.0765, 0.0802, 0.0261, 0.004, -0.0035, 0.0193, 0.0209, -0.0145, -0.0298, -0.0024, 0.0239, 0.038, 0.0426, 0.0773, 0.065, 0.0871, -0.0024, 0.0244, 0.0178, 0.0145, 0.0285, 0.0, -0.0027, -0.0076, 0.0184, 0.0105, 0.018, 0.018, -0.0211, -0.0168, -0.0364, -0.0775, -0.124, -0.1004, -0.1108, -0.1282, -0.0906, -0.0499, -0.0487, -0.0796, -0.0878, -0.0985, -0.1077, -0.1543, -0.1345, -0.1359, -0.1494, -0.2138, -0.2349, -0.236, -0.282, -0.2717, -0.2898, -0.2898, -0.297, -0.2927, -0.2988, -0.3102, -0.3332, -0.2787, -0.2676, -0.2327, -0.2381, -0.2069, -0.1912, -0.2204, -0.2031, -0.1993, -0.1616, -0.1627, -0.1564, -0.1818, -0.1735, -0.1668, -0.1813, -0.1831, -0.1698, -0.1675, -0.1537, -0.1634, -0.1249, -0.1249, -0.1316, -0.1419, -0.1429, -0.1099, -0.1111, -0.087, -0.0556, -0.0598, -0.0505, -0.0554, -0.0381, -0.0475, -0.0307, -0.0132, -0.1475, -0.1504, -0.1216, -0.0975, -0.0999, -0.1288, -0.127, -0.1494, -0.1403, -0.1304, -0.1122, -0.1245, -0.1468, -0.1245, -0.1818, -0.1966, -0.1806, -0.1549, -0.1586, -0.1773, -0.1724, -0.2124, -0.199, -0.2024, -0.1968, -0.174, -0.1595, -0.1595, -0.1617, -0.1779, -0.1447, -0.1526, -0.1365, -0.1225, -0.0794, -0.084, -0.0865, -0.0954, -0.088, -0.0929, -0.0813, -0.1036, -0.1013, -0.1684, -0.148, -0.0963, -0.0979, -0.1026, -0.0884, -0.0942, -0.1318, -0.1378]}
{"unit_id": "quote:936229749478842368", "ticker_idx": 0, "ts": "2017-11-30T13:45:41+00:00", "symbol": "crypto", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "cryptoassets are a bigger idea!", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish crypto: argues the asset class is a bigger idea than the internet bubble that peaked at $4T in today's dollars, implying far more upside.", "resolved_tickers": ["BTC-USD", "ETH-USD"], "resolution_method": "basket", "resolution_reason": "Broad crypto; BTC and ETH as primary proxies", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "In today's dollars, the internet bubble peaked $4 trillion...and cryptoassets are a bigger idea!  Great chart @cburniske and @jmonegro. https://t.co/7HWpGSvLjc", "reply_text": null, "parent_text": null, "quoted_text": "Teaser slide from my presentation tomorrow at @coindesk's #ConsensusInvest. Yes, we are entering the frenzy stage of #crypto, I'd be concerned if we weren't. Credit @jmonegro for the beautiful graph. https://t.co/9H5iq1hhP3", "parent_author": null, "ret_m1d": -0.038764000119525466, "ret_signed_m1d": -0.038764000119525466, "alpha_spy_m1d": -0.030085094636715104, "alpha_c_m1d": null, "bench_spy_m1d": -0.008678905482810362, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.05797688813883317, "ret_signed_p1d": 0.05797688813883317, "alpha_spy_p1d": 0.06005240865453754, "alpha_c_p1d": null, "bench_spy_p1d": -0.0020755205157043655, "bench_c_p1d": null, "ret_p1w": 0.3603464505793829, "ret_signed_p1w": 0.3603464505793829, "alpha_spy_p1w": 0.363893627313249, "alpha_c_p1w": null, "bench_spy_p1w": -0.0035471767338660642, "bench_c_p1w": null, "ret_p1m": 0.5588114531691037, "ret_signed_p1m": 0.5588114531691037, "alpha_spy_p1m": 0.5466833410965191, "alpha_c_p1m": null, "bench_spy_p1m": 0.012128112072584685, "bench_c_p1m": null, "ret_p3m": 0.5061872967497504, "ret_signed_p3m": 0.5061872967497504, "alpha_spy_p3m": 0.4653482778056778, "alpha_c_p3m": null, "bench_spy_p3m": 0.0408390189440726, "bench_c_p3m": null, "ret_p6m": 0.02160431691365028, "ret_signed_p6m": 0.02160431691365028, "alpha_spy_p6m": -0.01472110571409957, "alpha_c_p6m": null, "bench_spy_p6m": 0.03632542262774985, "bench_c_p6m": null, "price_path": [-0.586, -0.5723, -0.5508, -0.5505, -0.5868, -0.5934, -0.5963, -0.6206, -0.6917, -0.6446, -0.6028, -0.6165, -0.6183, -0.6452, -0.6452, -0.6164, -0.6196, -0.5895, -0.5921, -0.5932, -0.5691, -0.5781, -0.5867, -0.577, -0.5729, -0.5337, -0.5327, -0.5284, -0.4677, -0.4482, -0.4405, -0.4522, -0.4537, -0.4422, -0.4126, -0.4205, -0.46, -0.438, -0.423, -0.4351, -0.4009, -0.3679, -0.3387, -0.3083, -0.2957, -0.3138, -0.3019, -0.2711, -0.2921, -0.342, -0.3253, -0.2982, -0.2698, -0.2453, -0.2516, -0.1892, -0.2026, -0.1711, -0.1486, -0.0657, 0.0169, 0.0203, -0.0388, 0.0, 0.058, 0.0954, 0.1003, 0.1775, 0.3603, 0.3195, 0.4036, 0.5794, 0.5876, 0.5874, 0.6305, 0.8225, 0.7932, 0.7282, 0.6903, 0.4305, 0.5417, 0.652, 0.6269, 0.5379, 0.5588, 0.5313, 0.7211, 0.8193, 0.8591, 0.9673, 1.0256, 1.1666, 1.1359, 0.9465, 1.1069, 1.1199, 0.7397, 0.6809, 0.7195, 0.7291, 0.656, 0.6339, 0.739, 0.7311, 0.7258, 0.8741, 0.6916, 0.75, 0.6075, 0.4556, 0.1203, 0.2658, 0.219, 0.3184, 0.4153, 0.4076, 0.3653, 0.4967, 0.5445, 0.5559, 0.604, 0.5584, 0.4728, 0.3978, 0.4697, 0.4786, 0.5062, 0.4644, 0.5104, 0.4999, 0.5201, 0.4403, 0.3288, 0.247, 0.2714, 0.2324, 0.2218, 0.091, 0.0892, 0.0802, 0.0443, 0.0586, 0.0644, 0.03, 0.0373, -0.051, -0.1139, -0.1123, -0.2183, -0.222, -0.2218, -0.1695, -0.2396, -0.2386, -0.2617, -0.2235, -0.2028, -0.1781, -0.0633, -0.0632, -0.0347, -0.0515, -0.0143, 0.0403, 0.1207, 0.1549, 0.2657, 0.1204, 0.1947, 0.1627, 0.2006, 0.1988, 0.2197, 0.3478, 0.3525, 0.3008, 0.2931, 0.2969, 0.2552, 0.1724, 0.2429, 0.2085, 0.1996, 0.1477, 0.1796, 0.1933, 0.1173, 0.0219, 0.0436, 0.0216]}
{"unit_id": "quote:1308230891160961028", "ticker_idx": 0, "ts": "2020-09-22T02:25:24+00:00", "symbol": "ILMN", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$ILMN - with 85-90% share of the DNA sequencing market - is entering a crowded molecular diagnostic testing market and will be competing with its customers, a questionable strategy", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bearish ILMN: entering crowded molec-dx market and competing with customers is a questionable strategy.", "resolved_tickers": ["ILMN"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLV", "bench_c_reason": "industry='Diagnostics & Research'", "bench_c_industry": "Diagnostics & Research", "unit_kind": "quote", "lang": "en", "tweet_text": "As @sbarnettARK elucidates in this extensive tweet thread, $ILMN - with 85-90% share of the DNA sequencing market - is entering a crowded molecular diagnostic testing market and will be competing with its customers, a questionable strategy.", "reply_text": null, "parent_text": null, "quoted_text": "Though not exhaustive, here's a list of GRAIL's comps. Please feel free to suggest others:\n\nScreening: Thrive Earlier Detection, Freenome, Exact Sciences, Guardant Health (GH)\n\nRx Optimization: Invitae (NVTA), Natera (NTRA), GH, Veracyte, Tempus, Roche\n\nMRD: NVTA, NTRA, GH, Roche", "parent_author": null, "ret_m1d": 0.006033261100421017, "ret_signed_m1d": -0.006033261100421017, "alpha_spy_m1d": -0.01611441546954251, "alpha_c_m1d": -0.0038965189928281685, "bench_spy_m1d": -0.010081154369121492, "bench_c_m1d": 0.0021367421075928483, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.016721917230593242, "ret_signed_p1d": -0.016721917230593242, "alpha_spy_p1d": -0.03991253919747084, "alpha_c_p1d": -0.027017026208163264, "bench_spy_p1d": -0.0231906219668776, "bench_c_p1d": -0.010295108977570022, "ret_p1w": 0.13776020176455184, "ret_signed_p1w": -0.13776020176455184, "alpha_spy_p1w": -0.13149287017068212, "alpha_c_p1w": -0.12940753411437744, "bench_spy_p1w": 0.006267331593869718, "bench_c_p1w": 0.008352667650174395, "ret_p1m": 0.18375473353018923, "ret_signed_p1m": -0.18375473353018923, "alpha_spy_p1m": -0.1461219389601225, "alpha_c_p1m": -0.15597684335666195, "bench_spy_p1m": 0.03763279457006674, "bench_c_p1m": 0.027777890173527275, "ret_p3m": 0.363301209608212, "ret_signed_p3m": -0.363301209608212, "alpha_spy_p3m": -0.24082491194265354, "alpha_c_p3m": -0.26578770930514817, "bench_spy_p3m": 0.12247629766555845, "bench_c_p3m": 0.09751350030306383, "ret_p6m": 0.5646343969724101, "ret_signed_p6m": -0.5646343969724101, "alpha_spy_p6m": -0.3567822517768362, "alpha_c_p6m": -0.4440658669011073, "bench_spy_p6m": 0.20785214519557393, "bench_c_p6m": 0.12056853007130286, "price_path": [0.364, 0.341, 0.3493, 0.3793, 0.3726, 0.3895, 0.3895, 0.4129, 0.3859, 0.3775, 0.3877, 0.3789, 0.3747, 0.4013, 0.4239, 0.3999, 0.4288, 0.4846, 0.4519, 0.4588, 0.4392, 0.4236, 0.4638, 0.4354, 0.4349, 0.4256, 0.4233, 0.4817, 0.4662, 0.4925, 0.4872, 0.3246, 0.316, 0.2708, 0.2817, 0.3166, 0.2944, 0.3189, 0.3261, 0.316, 0.3206, 0.3149, 0.2993, 0.307, 0.3167, 0.3076, 0.3184, 0.3304, 0.2954, 0.3576, 0.2905, 0.2751, 0.2751, 0.2698, 0.2923, 0.289, 0.3032, 0.3171, 0.3116, 0.201, 0.1099, 0.1005, 0.006, 0.0, 0.0167, 0.0663, 0.1169, 0.1376, 0.1378, 0.1511, 0.1531, 0.1487, 0.1775, 0.1816, 0.2079, 0.2431, 0.2627, 0.3121, 0.2854, 0.2295, 0.2058, 0.2153, 0.1965, 0.1934, 0.1838, 0.2138, 0.205, 0.1883, 0.1982, 0.1534, 0.1728, 0.0901, 0.0908, 0.1047, 0.1595, 0.1609, 0.1477, 0.1385, 0.1231, 0.126, 0.1333, 0.1503, 0.1051, 0.1096, 0.0995, 0.1136, 0.1203, 0.1242, 0.1382, 0.1321, 0.1321, 0.1807, 0.1995, 0.2452, 0.2693, 0.2886, 0.3059, 0.2767, 0.2764, 0.2579, 0.2801, 0.2737, 0.2927, 0.3132, 0.3159, 0.3456, 0.3633, 0.3505, 0.3815, 0.365, 0.3679, 0.3679, 0.366, 0.3635, 0.356, 0.378, 0.378, 0.3696, 0.3962, 0.4024, 0.4242, 0.4138, 0.3872, 0.3455, 0.3482, 0.3818, 0.4016, 0.4016, 0.4532, 0.5029, 0.5078, 0.513, 0.5679, 0.5662, 0.6092, 0.632, 0.5882, 0.6513, 0.6396, 0.5649, 0.5964, 0.5974, 0.6799, 0.6871, 0.6759, 0.6805, 0.8799, 0.8799, 0.8344, 0.8407, 0.8092, 0.811, 0.7525, 0.7301, 0.7171, 0.6605, 0.6365, 0.6629, 0.6424, 0.5508, 0.4882, 0.4854, 0.4287, 0.4929, 0.4877, 0.5377, 0.5088, 0.5654, 0.5624, 0.5646]}
{"unit_id": "quote:1973028158145442195", "ticker_idx": 0, "ts": "2025-09-30T14:12:24+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "our continued conviction in Bitcoin and the broader digital asset ecosystem", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Cathie Wood reaffirms high conviction long on Bitcoin and the broader digital asset ecosystem.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "It was a pleasure joining @WilfredFrost on The Master Investor Podcast to discuss our continued conviction in Bitcoin and the broader digital asset ecosystem.\n\nImportant info: https://t.co/ubOnzoCMdV", "reply_text": null, "parent_text": null, "quoted_text": "BONUS Crypto episode - with @CathieDWood of @ARKInvest - why bitcoin will always be the number one cryptocurrency:\n\nYouTube: https://t.co/GecafBVQkQ \n\nApple: https://t.co/Sqcsyz87yB\n\nSpotify: https://t.co/qdIsl1mVGr https://t.co/KXV0TydR35", "parent_author": null, "ret_m1d": 0.0030186628987836084, "ret_signed_m1d": 0.0030186628987836084, "alpha_spy_m1d": 0.0067713936212809855, "alpha_c_m1d": null, "bench_spy_m1d": -0.003752730722497377, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.04026829179914837, "ret_signed_p1d": 0.04026829179914837, "alpha_spy_p1d": 0.03686081451451173, "alpha_c_p1d": null, "bench_spy_p1d": 0.0034074772846366397, "bench_c_p1d": null, "ret_p1w": 0.06483912554260751, "ret_signed_p1w": 0.06483912554260751, "alpha_spy_p1w": 0.06042592600703656, "alpha_c_p1w": null, "bench_spy_p1w": 0.004413199535570955, "bench_c_p1w": null, "ret_p1m": -0.035077314964081174, "ret_signed_p1m": -0.035077314964081174, "alpha_spy_p1m": -0.06691563426260572, "alpha_c_p1m": null, "bench_spy_p1m": 0.03183831929852454, "bench_c_p1m": null, "ret_p3m": -0.23457456066536342, "ret_signed_p3m": -0.23457456066536342, "alpha_spy_p3m": -0.2738578967184008, "alpha_c_p3m": null, "bench_spy_p3m": 0.039283336053037354, "bench_c_p3m": null, "ret_p6m": -0.37478230796403, "ret_signed_p6m": -0.37478230796403, "alpha_spy_p6m": -0.36634603514212816, "alpha_c_p6m": null, "bench_spy_p6m": -0.008436272821901847, "bench_c_p6m": null, "price_path": [-0.0386, -0.0528, -0.0505, -0.0448, -0.0239, 0.0169, 0.0303, 0.0508, 0.0326, 0.0411, 0.0459, 0.0346, 0.0297, 0.0521, 0.0412, 0.0378, 0.0314, 0.0339, 0.0339, 0.0331, 0.0149, -0.0065, 0.0089, 0.0007, 0.0085, 0.0302, 0.0231, 0.041, 0.0536, 0.0814, 0.0377, 0.0293, 0.0193, -0.0107, 0.0019, -0.0144, 0.0247, -0.0345, -0.0198, -0.0248, -0.0133, -0.0495, -0.0421, -0.025, -0.0205, -0.0292, -0.0299, -0.0174, -0.0221, -0.0009, 0.0127, 0.0179, 0.0122, 0.0244, 0.0212, 0.027, 0.0143, -0.0115, -0.0179, -0.0064, -0.0439, -0.0381, 0.003, 0.0, 0.0403, 0.0581, 0.072, 0.0938, 0.0648, 0.0815, 0.0671, -0.0074, 0.0107, -0.0082, -0.0287, -0.0515, -0.0665, -0.0304, -0.0489, -0.0558, -0.035, -0.0265, 0.0006, -0.0096, -0.0351, -0.0504, -0.0395, -0.0658, -0.1093, -0.0891, -0.1118, -0.0937, -0.0707, -0.097, -0.1087, -0.1259, -0.1724, -0.1926, -0.1851, -0.1981, -0.2404, -0.254, -0.2261, -0.2342, -0.2064, -0.1996, -0.2029, -0.2432, -0.1991, -0.18, -0.1921, -0.2163, -0.2053, -0.1873, -0.1932, -0.1889, -0.2085, -0.2423, -0.2298, -0.2447, -0.2507, -0.2275, -0.2242, -0.2336, -0.2319, -0.2352, -0.2346, -0.236, -0.2247, -0.2328, -0.222, -0.2114, -0.1769, -0.1782, -0.1994, -0.2019, -0.2064, -0.2005, -0.1643, -0.1502, -0.1622, -0.1625, -0.1885, -0.2257, -0.2164, -0.2156, -0.2153, -0.2261, -0.2188, -0.2181, -0.2586, -0.2624, -0.3101, -0.3369, -0.3598, -0.4503, -0.3814, -0.3852, -0.3968, -0.4126, -0.4194, -0.3963, -0.3964, -0.4082, -0.4176, -0.4129, -0.4038, -0.4335, -0.4382, -0.4042, -0.4086, -0.4224, -0.397, -0.4012, -0.3625, -0.3789, -0.4026, -0.4003, -0.3869, -0.3845, -0.3819, -0.3778, -0.3436, -0.3519, -0.3753, -0.387, -0.3817, -0.3782, -0.3817, -0.3748]}
{"unit_id": "quote:875701901198852096", "ticker_idx": 0, "ts": "2017-06-16T13:09:37+00:00", "symbol": "GLD", "kind": "etf", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "A problem at the margin for $GLD...!", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bearish on GLD; poor UX of gold/paper promises vs crypto is a marginal headwind for the gold ETF.", "resolved_tickers": ["GLD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "A problem at the margin for $GLD...! https://t.co/d5wtQBjr9P", "reply_text": null, "parent_text": null, "quoted_text": "Maybe not \"zero,\" but agree that for younger generations, paper promises 4 gold &amp; waiting days 4 money transfer do not provide the best UX https://t.co/NZpoJwcoYR", "parent_author": null, "ret_m1d": -0.00016756027886732916, "ret_signed_m1d": 0.00016756027886732916, "alpha_spy_m1d": -5.068216221482125e-05, "alpha_c_m1d": -5.068216221482125e-05, "bench_spy_m1d": -0.0002182424410821504, "bench_c_m1d": -0.0002182424410821504, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.007625239321596311, "ret_signed_p1d": 0.007625239321596311, "alpha_spy_p1d": 0.015950351275493935, "alpha_c_p1d": 0.015950351275493935, "bench_spy_p1d": 0.008325111953897624, "bench_c_p1d": 0.008325111953897624, "ret_p1w": 0.0007541810796636295, "ret_signed_p1w": -0.0007541810796636295, "alpha_spy_p1w": 0.001265571882017591, "alpha_c_p1w": 0.001265571882017591, "bench_spy_p1w": 0.0020197529616812204, "bench_c_p1w": 0.0020197529616812204, "ret_p1m": -0.017177773464640222, "ret_signed_p1m": 0.017177773464640222, "alpha_spy_p1m": 0.029088585631078856, "alpha_c_p1m": 0.029088585631078856, "bench_spy_p1m": 0.011910812166438633, "bench_c_p1m": 0.011910812166438633, "ret_p3m": 0.05253900171664583, "ret_signed_p3m": -0.05253900171664583, "alpha_spy_p3m": -0.021505200841222205, "alpha_c_p3m": -0.021505200841222205, "bench_spy_p3m": 0.031033800875423623, "bench_c_p3m": 0.031033800875423623, "ret_p6m": -0.011144580546948446, "ret_signed_p6m": 0.011144580546948446, "alpha_spy_p6m": 0.11414375419908118, "alpha_c_p6m": 0.11414375419908118, "bench_spy_p6m": 0.10299917365213274, "bench_c_p6m": 0.10299917365213274, "price_path": [-0.0067, -0.0043, -0.0056, -0.004, 0.0016, -0.0025, -0.0001, -0.0073, -0.0052, 0.0001, 0.0023, 0.0023, -0.0013, 0.001, 0.001, 0.0155, 0.0225, 0.0273, 0.0273, 0.0243, 0.0292, 0.02, 0.022, 0.0249, 0.0179, 0.0076, 0.0126, 0.0088, 0.012, 0.0028, 0.0026, -0.0114, -0.0214, -0.0195, -0.0217, -0.0276, -0.0277, -0.0238, -0.021, -0.0184, -0.0142, 0.0038, -0.0044, 0.0005, 0.0047, -0.0017, 0.0023, 0.0012, 0.0101, 0.0101, 0.0067, 0.0107, 0.0116, 0.019, 0.02, 0.0315, 0.0261, 0.0194, 0.0101, 0.0085, 0.0096, 0.004, -0.0002, 0.0, -0.0076, -0.0097, -0.0069, -0.0035, 0.0008, -0.0082, -0.0044, -0.0037, -0.0085, -0.0111, -0.0272, -0.0272, -0.0236, -0.024, -0.034, -0.0324, -0.0312, -0.0277, -0.0295, -0.0215, -0.0172, -0.0103, -0.0106, -0.0092, -0.0007, -0.0003, -0.0035, 0.0045, 0.0038, 0.0113, 0.0118, 0.011, 0.0089, 0.0105, 0.0026, 0.0014, 0.0044, 0.0165, 0.024, 0.0289, 0.0216, 0.0137, 0.0212, 0.0264, 0.0248, 0.0287, 0.024, 0.0279, 0.0247, 0.0285, 0.0448, 0.0426, 0.0421, 0.0543, 0.0563, 0.0563, 0.068, 0.0626, 0.0737, 0.0723, 0.0574, 0.0605, 0.0525, 0.0571, 0.0519, 0.0421, 0.0442, 0.0359, 0.028, 0.0327, 0.0435, 0.0318, 0.0221, 0.024, 0.0188, 0.012, 0.0125, 0.0153, 0.0099, 0.0147, 0.023, 0.0256, 0.0289, 0.0297, 0.0375, 0.0304, 0.0234, 0.0195, 0.0256, 0.019, 0.0206, 0.0167, 0.0168, 0.0083, 0.0131, 0.015, 0.0111, 0.0148, 0.0155, 0.0107, 0.0194, 0.0157, 0.0192, 0.0234, 0.015, 0.0165, 0.0186, 0.0173, 0.0173, 0.0295, 0.0165, 0.0182, 0.0276, 0.0276, 0.025, 0.0292, 0.0291, 0.0226, 0.0147, 0.0189, 0.0154, 0.0082, 0.0061, -0.0071, -0.0072, -0.0111]}
{"unit_id": "quote:892721130657779721", "ticker_idx": 0, "ts": "2017-08-02T12:17:58+00:00", "symbol": "S&P500", "kind": "index", "geography": "US", "sub_sector": null, "direction": "long", "conviction": "high", "explicit": false, "explicit_audit": "flipped_to_implicit", "polarity_reversed": false, "quote": "A #deflationary boom, thanks to massively disruption #innovation, is playing havoc: if companies don't invest aggressively now, they lose!", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish S&P; dismisses valuation concerns, argues deflationary innovation boom justifies continued gains.", "resolved_tickers": ["SPY"], "resolution_method": "etf", "resolution_reason": "S&P 500 index; SPY ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "A #deflationary boom, thanks to massively disruption #innovation, is playing havoc: if companies don't invest aggressively now, they lose! https://t.co/v0a7qE6AKG", "reply_text": null, "parent_text": null, "quoted_text": "... prepared to own the losses when it goes down. This will be the 9th straight yr of gains for the S&amp;P, CAPE above 30. Would be careful... https://t.co/PE7xU6lO3t", "parent_author": null, "ret_m1d": -0.0004849166986429232, "ret_signed_m1d": -0.0004849166986429232, "alpha_spy_m1d": 0.0, "alpha_c_m1d": 0.0, "bench_spy_m1d": -0.0004849166986429232, "bench_c_m1d": -0.0004849166986429232, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.0019400914151486148, "ret_signed_p1d": -0.0019400914151486148, "alpha_spy_p1d": 0.0, "alpha_c_p1d": 0.0, "bench_spy_p1d": -0.0019400914151486148, "bench_c_p1d": -0.0019400914151486148, "ret_p1w": -0.0007678555429474487, "ret_signed_p1w": -0.0007678555429474487, "alpha_spy_p1w": 0.0, "alpha_c_p1w": 0.0, "bench_spy_p1w": -0.0007678555429474487, "bench_c_p1w": -0.0007678555429474487, "ret_p1m": 0.00020204862443451432, "ret_signed_p1m": 0.00020204862443451432, "alpha_spy_p1m": 0.0, "alpha_c_p1m": 0.0, "bench_spy_p1m": 0.00020204862443451432, "bench_c_p1m": 0.00020204862443451432, "ret_p3m": 0.04277457841899879, "ret_signed_p3m": 0.04277457841899879, "alpha_spy_p3m": 0.0, "alpha_c_p3m": 0.0, "bench_spy_p3m": 0.04277457841899879, "bench_c_p3m": 0.04277457841899879, "ret_p6m": 0.15648754425077183, "ret_signed_p6m": 0.15648754425077183, "alpha_spy_p6m": 0.0, "alpha_c_p6m": 0.0, "bench_spy_p6m": 0.15648754425077183, "bench_c_p6m": 0.15648754425077183, "price_path": [-0.036, -0.0361, -0.037, -0.0353, -0.0373, -0.0389, -0.0336, -0.0345, -0.0516, -0.0478, -0.0416, -0.0367, -0.0346, -0.0323, -0.0277, -0.0279, -0.0279, -0.0287, -0.029, -0.0213, -0.018, -0.0187, -0.0219, -0.0201, -0.0196, -0.0211, -0.0213, -0.0165, -0.0177, -0.0196, -0.0194, -0.0112, -0.0179, -0.0181, -0.0186, -0.0174, -0.0168, -0.0247, -0.016, -0.0246, -0.0228, -0.0211, -0.0211, -0.0189, -0.0278, -0.0215, -0.0205, -0.0212, -0.0139, -0.0122, -0.0076, -0.0077, -0.0072, -0.0018, -0.0014, -0.0023, -0.0025, -0.0001, -0.0, -0.001, -0.0021, -0.0027, -0.0005, 0.0, -0.0019, -0.0001, 0.0017, -0.0007, -0.0008, -0.0149, -0.0134, -0.0036, -0.0038, -0.002, -0.0176, -0.0191, -0.0183, -0.0081, -0.0116, -0.0139, -0.0116, -0.0116, -0.0105, -0.0058, 0.0002, 0.0016, 0.0016, -0.0056, -0.0022, -0.0023, -0.0035, 0.0072, 0.0105, 0.011, 0.0107, 0.0121, 0.0142, 0.0152, 0.0156, 0.0129, 0.0131, 0.011, 0.0116, 0.0156, 0.0168, 0.0204, 0.0248, 0.027, 0.0282, 0.0343, 0.0331, 0.0314, 0.0341, 0.0357, 0.0342, 0.0355, 0.0368, 0.0376, 0.0386, 0.0389, 0.0442, 0.0402, 0.042, 0.0368, 0.0382, 0.0467, 0.0428, 0.0444, 0.0458, 0.0462, 0.0497, 0.0513, 0.0506, 0.0524, 0.0485, 0.0482, 0.0492, 0.0468, 0.0415, 0.0504, 0.0473, 0.0491, 0.0559, 0.055, 0.055, 0.0574, 0.0569, 0.0676, 0.067, 0.0763, 0.0741, 0.0728, 0.0689, 0.0691, 0.0725, 0.0784, 0.0816, 0.0835, 0.0834, 0.079, 0.0879, 0.0948, 0.0906, 0.0901, 0.0923, 0.092, 0.092, 0.0907, 0.0913, 0.0935, 0.0894, 0.0894, 0.0972, 0.1041, 0.1088, 0.1162, 0.1182, 0.1207, 0.119, 0.1272, 0.1345, 0.1345, 0.1306, 0.1414, 0.1395, 0.1447, 0.154, 0.1564, 0.156, 0.1565]}
{"unit_id": "quote:892225879048409089", "ticker_idx": 0, "ts": "2017-08-01T03:30:00+00:00", "symbol": "RUT", "kind": "index", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Good sign for this #bullmarket: its base is broadening, not narrowing.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Interprets Dow highs + Russell 2000 weakness as broadening bull market base — bullish equities broadly.", "resolved_tickers": ["IWM"], "resolution_method": "etf", "resolution_reason": "RUT = Russell 2000; IWM is standard ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Good sign for this #bullmarket:  its base is broadening, not narrowing. https://t.co/dP2WGYSdiB", "reply_text": null, "parent_text": null, "quoted_text": "First time in history...\nDow all-time high 4 days in a row while...\nRussell 2000 down 4 days in a row.\n$DJIA $RUT https://t.co/I4Ky82f7Ri", "parent_author": null, "ret_m1d": -0.001904946476818048, "ret_signed_m1d": -0.001904946476818048, "alpha_spy_m1d": 0.00031909148568531887, "alpha_c_m1d": 0.00031909148568531887, "bench_spy_m1d": -0.002224037962503367, "bench_c_m1d": -0.002224037962503367, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.010932877171782374, "ret_signed_p1d": -0.010932877171782374, "alpha_spy_p1d": -0.011418029128710594, "alpha_c_p1d": -0.011418029128710594, "bench_spy_p1d": 0.00048515195692822033, "bench_c_p1d": 0.00048515195692822033, "ret_p1w": -0.012555402688369188, "ret_signed_p1w": -0.012555402688369188, "alpha_spy_p1w": -0.0123126142966139, "alpha_c_p1w": -0.0123126142966139, "bench_spy_p1w": -0.00024278839175528866, "bench_c_p1w": -0.00024278839175528866, "ret_p1m": -0.024051861776330008, "ret_signed_p1m": -0.024051861776330008, "alpha_spy_p1m": -0.018754840731129208, "alpha_c_p1m": -0.018754840731129208, "bench_spy_p1m": -0.0052970210452008, "bench_c_p1m": -0.0052970210452008, "ret_p3m": 0.059053400781562626, "ret_signed_p3m": 0.059053400781562626, "alpha_spy_p3m": 0.011872160556999356, "alpha_c_p3m": 0.011872160556999356, "bench_spy_p3m": 0.04718124022456327, "bench_c_p3m": 0.04718124022456327, "ret_p6m": 0.1282173159388742, "ret_signed_p6m": 0.1282173159388742, "alpha_spy_p6m": -0.028340342586935074, "alpha_c_p6m": -0.028340342586935074, "bench_spy_p6m": 0.15655765852580927, "bench_c_p6m": 0.15655765852580927, "price_path": [-0.0301, -0.0239, -0.028, -0.0284, -0.0224, -0.0292, -0.0343, -0.0268, -0.0264, -0.0527, -0.0492, -0.0447, -0.0382, -0.0351, -0.0344, -0.0338, -0.0341, -0.0341, -0.0417, -0.0426, -0.0242, -0.0179, -0.024, -0.0249, -0.024, -0.0106, -0.0055, -0.0071, -0.0021, -0.008, -0.013, -0.0155, -0.0082, -0.0182, -0.0207, -0.0169, -0.0104, -0.0092, -0.0179, -0.0029, -0.0088, -0.0103, -0.0021, -0.0021, -0.0056, -0.0186, -0.0091, -0.0134, -0.0105, -0.0029, -0.002, -0.0004, 0.002, -0.0006, 0.0093, 0.01, 0.0054, 0.0068, 0.016, 0.0104, 0.0039, 0.0013, -0.0019, 0.0, -0.0109, -0.0159, -0.0111, -0.0095, -0.0126, -0.0211, -0.0389, -0.0375, -0.0229, -0.0309, -0.0306, -0.0483, -0.0484, -0.049, -0.0387, -0.0403, -0.0373, -0.0346, -0.0305, -0.0303, -0.0241, -0.0145, -0.0089, -0.0089, -0.0184, -0.0164, -0.0188, -0.0181, -0.0078, -0.0017, 0.0013, 0.0004, 0.0044, 0.0113, 0.0113, 0.0145, 0.0135, 0.0178, 0.0192, 0.0224, 0.0424, 0.0452, 0.0477, 0.0605, 0.0629, 0.0595, 0.0624, 0.0609, 0.0565, 0.0595, 0.0588, 0.058, 0.0561, 0.0552, 0.0521, 0.0571, 0.0555, 0.0604, 0.0525, 0.0547, 0.0496, 0.0518, 0.0591, 0.0479, 0.0553, 0.0483, 0.0514, 0.0507, 0.0519, 0.0393, 0.0407, 0.0371, 0.0363, 0.0366, 0.0337, 0.0296, 0.0448, 0.0496, 0.0572, 0.0682, 0.0668, 0.0668, 0.0673, 0.064, 0.0808, 0.0844, 0.0863, 0.0819, 0.0779, 0.0671, 0.0621, 0.0695, 0.0705, 0.0701, 0.0668, 0.0731, 0.0612, 0.0764, 0.0909, 0.0823, 0.0844, 0.0892, 0.0872, 0.0872, 0.0878, 0.0868, 0.091, 0.082, 0.082, 0.0922, 0.0934, 0.0963, 0.0986, 0.1003, 0.0988, 0.0989, 0.1178, 0.1225, 0.1225, 0.1081, 0.1186, 0.111, 0.1256, 0.1316, 0.1352, 0.1282]}
{"unit_id": "quote:1672285959973421057", "ticker_idx": 0, "ts": "2023-06-23T16:50:17+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "this incredible ramp in compute will increase the odds that #Tesla will be the first to roll out a nationwide autonomous taxi platform, which we believe is a winner-take-most #AI-driven opportunity with SaaS-like margins", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish TSLA: massive compute ramp raises odds Tesla wins nationwide autonomous taxi market, a winner-take-most AI opportunity with SaaS margins.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "If successful, this incredible ramp in compute will increase the odds that #Tesla will be the first to roll out a nationwide autonomous taxi platform, which we believe is a winner-take-most #AI-driven opportunity with SaaS-like margins.", "reply_text": null, "parent_text": null, "quoted_text": "Tesla forecasts ramping up to 100 exaflops of AI training capacity by Q4 2024. That's a huge number that implies an over 20x scaling from the 4.6 exaflops disclosed at AI Day 2022 (14k Nvidia A100 GPUs), and over 50x the A100 capacity discussed in 2021.\n\nThis implies a compound", "parent_author": null, "ret_m1d": 0.031215818618552715, "ret_signed_m1d": 0.031215818618552715, "alpha_spy_m1d": 0.0235980401846958, "alpha_c_m1d": 0.01949016952988991, "bench_spy_m1d": 0.007617778433856914, "bench_c_m1d": 0.011725649088662804, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.060600166336257755, "ret_signed_p1d": -0.060600166336257755, "alpha_spy_p1d": -0.05651449375194573, "alpha_c_p1d": -0.04778661515463334, "bench_spy_p1d": -0.004085672584312028, "bench_c_p1d": -0.012813551181624416, "ret_p1w": 0.020148023332745346, "ret_signed_p1w": 0.020148023332745346, "alpha_spy_p1w": -0.003097111771087402, "alpha_c_p1w": -0.0062043156520383835, "bench_spy_p1w": 0.023245135103832748, "bench_c_p1w": 0.02635233898478373, "ret_p1m": 0.04855803257483804, "ret_signed_p1m": 0.04855803257483804, "alpha_spy_p1m": 0.00010562720703477524, "alpha_c_p1m": 0.008364511638287775, "bench_spy_p1m": 0.048452405367803264, "bench_c_p1m": 0.040193520936550264, "ret_p3m": 0.023343687029993898, "ret_signed_p3m": 0.023343687029993898, "alpha_spy_p3m": 0.0072376665286244535, "alpha_c_p3m": 0.011635015778745261, "bench_spy_p3m": 0.016106020501369445, "bench_c_p3m": 0.011708671251248637, "ret_p6m": -0.017614981157239362, "ret_signed_p6m": -0.017614981157239362, "alpha_spy_p6m": -0.11536232192183526, "alpha_c_p6m": -0.10944168987989566, "bench_spy_p6m": 0.0977473407645959, "bench_c_p6m": 0.0918267087226563, "price_path": [-0.2627, -0.2444, -0.239, -0.1915, -0.241, -0.2495, -0.277, -0.2788, -0.2788, -0.2809, -0.2721, -0.2964, -0.2755, -0.279, -0.2711, -0.2817, -0.2962, -0.3648, -0.3567, -0.3665, -0.3739, -0.4008, -0.3757, -0.3597, -0.3693, -0.3753, -0.3741, -0.3718, -0.3373, -0.3305, -0.3408, -0.3432, -0.3294, -0.3454, -0.3517, -0.3511, -0.3224, -0.3106, -0.298, -0.264, -0.276, -0.2872, -0.2811, -0.2472, -0.2472, -0.2161, -0.2053, -0.1913, -0.1661, -0.1519, -0.1375, -0.1248, -0.0847, -0.0475, -0.0264, 0.0082, 0.0007, -0.0027, 0.0154, 0.0154, 0.0696, 0.0111, 0.0312, 0.0, -0.0606, -0.0249, -0.0014, 0.0035, 0.0201, 0.0905, 0.0905, 0.1009, 0.0777, 0.0695, 0.0507, 0.0514, 0.06, 0.083, 0.0966, 0.1316, 0.1432, 0.1351, 0.0246, 0.0133, 0.0486, 0.0338, 0.0302, -0.0035, 0.0383, 0.0422, 0.0174, -0.0097, 0.0106, -0.0107, -0.0201, -0.0269, -0.0562, -0.0439, -0.0544, -0.0656, -0.0921, -0.1208, -0.1457, -0.1602, -0.0987, -0.0912, -0.0769, -0.1035, -0.0702, -0.0693, 0.0023, 0.0012, 0.0058, -0.0452, -0.0452, -0.0004, -0.0182, -0.0199, -0.0316, 0.0662, 0.0424, 0.0573, 0.0758, 0.0693, 0.0338, 0.0386, 0.0233, -0.0035, -0.0457, -0.0375, -0.0486, -0.0627, -0.0398, -0.0249, -0.0195, -0.0392, 0.0178, 0.0134, 0.0153, 0.012, 0.0274, 0.0249, 0.0088, -0.0214, -0.0104, -0.0068, -0.0542, -0.1422, -0.1739, -0.1735, -0.1562, -0.1722, -0.1981, -0.1921, -0.2309, -0.2173, -0.1985, -0.1484, -0.1428, -0.1455, -0.1341, -0.1344, -0.1817, -0.1635, -0.1282, -0.0748, -0.0536, -0.0897, -0.0869, -0.0818, -0.06, -0.0873, -0.0873, -0.0824, -0.08, -0.0385, -0.0486, -0.0644, -0.0693, -0.0819, -0.0697, -0.0671, -0.0544, -0.0497, -0.0657, -0.0763, -0.0675, -0.0216, -0.0121, -0.0176]}
{"unit_id": "orig:1169779041601298437", "ticker_idx": 0, "ts": "2019-09-06T01:07:11+00:00", "symbol": "equities", "kind": "sector", "geography": "US", "sub_sector": null, "direction": "long", "conviction": "low", "explicit": false, "explicit_audit": "kept_implicit_alias_present", "polarity_reversed": false, "quote": "Great for equities", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish on equities: record debt issuance funding buybacks plus institutional rebalancing into cheaper stocks supports upside.", "resolved_tickers": ["SPY"], "resolution_method": "etf", "resolution_reason": "US equities sector broad proxy is SPY", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "original", "lang": "en", "tweet_text": "Record debt sales also will fund share buybacks, at the same time that institutional investment firms are rebalancing, selling expensive bonds for relatively inexpensive stocks.  Great for equities.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.0007716499735996862, "ret_signed_m1d": -0.0007716499735996862, "alpha_spy_m1d": 0.0, "alpha_c_m1d": 0.0, "bench_spy_m1d": -0.0007716499735996862, "bench_c_m1d": -0.0007716499735996862, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0005032352290450515, "ret_signed_p1d": 0.0005032352290450515, "alpha_spy_p1d": 0.0, "alpha_c_p1d": 0.0, "bench_spy_p1d": 0.0005032352290450515, "bench_c_p1d": 0.0005032352290450515, "ret_p1w": 0.010199534069104121, "ret_signed_p1w": 0.010199534069104121, "alpha_spy_p1w": 0.0, "alpha_c_p1w": 0.0, "bench_spy_p1w": 0.010199534069104121, "bench_c_p1w": 0.010199534069104121, "ret_p1m": -0.012133862154493746, "ret_signed_p1m": -0.012133862154493746, "alpha_spy_p1m": 0.0, "alpha_c_p1m": 0.0, "bench_spy_p1m": -0.012133862154493746, "bench_c_p1m": -0.012133862154493746, "ret_p3m": 0.04981847788366567, "ret_signed_p3m": 0.04981847788366567, "alpha_spy_p3m": 0.0, "alpha_c_p3m": 0.0, "bench_spy_p3m": 0.04981847788366567, "bench_c_p3m": 0.04981847788366567, "ret_p6m": 0.046952333251440326, "ret_signed_p6m": 0.046952333251440326, "alpha_spy_p6m": 0.0, "alpha_c_p6m": 0.0, "bench_spy_p6m": 0.046952333251440326, "bench_c_p6m": 0.046952333251440326, "price_path": [-0.0354, -0.0371, -0.0331, -0.0342, -0.0338, -0.0237, -0.0215, -0.0122, -0.0136, -0.0148, -0.0245, -0.0254, -0.022, -0.0169, -0.008, -0.0054, 0.0025, 0.0025, 0.0014, -0.0041, -0.0029, 0.0019, 0.0042, 0.0087, 0.0091, 0.0058, -0.001, 0.0026, -0.003, -0.0005, 0.0066, 0.0114, 0.0065, 0.0133, 0.0114, 0.009, -0.0021, -0.0108, -0.0182, -0.0477, -0.0344, -0.0338, -0.0149, -0.0216, -0.0335, -0.0185, -0.0475, -0.045, -0.0309, -0.0192, -0.0267, -0.0188, -0.0191, -0.0443, -0.0337, -0.0375, -0.0307, -0.0184, -0.0188, -0.0188, -0.0245, -0.0135, -0.0008, 0.0, 0.0005, 0.0003, 0.0074, 0.0109, 0.0102, 0.0071, 0.0096, 0.0102, 0.0102, 0.0054, 0.0052, -0.0027, 0.0032, 0.0011, -0.0043, 0.0003, -0.0116, -0.0291, -0.0211, -0.0079, -0.0121, -0.0275, -0.0182, -0.0116, -0.0013, -0.0025, 0.0074, 0.0058, 0.0088, 0.0043, 0.0112, 0.0079, 0.0108, 0.0124, 0.0166, 0.0223, 0.022, 0.0251, 0.0224, 0.0319, 0.036, 0.0349, 0.0351, 0.0388, 0.0413, 0.0393, 0.0415, 0.0419, 0.0434, 0.0509, 0.0517, 0.0514, 0.0475, 0.0458, 0.0481, 0.0563, 0.0586, 0.0634, 0.0634, 0.0594, 0.0504, 0.0434, 0.0498, 0.0517, 0.0613, 0.058, 0.0568, 0.0598, 0.0689, 0.0696, 0.0769, 0.0772, 0.0772, 0.0816, 0.0864, 0.088, 0.0881, 0.0881, 0.0939, 0.0936, 0.0876, 0.0902, 0.0902, 0.1004, 0.0921, 0.0962, 0.0932, 0.099, 0.1064, 0.1032, 0.1108, 0.1091, 0.1116, 0.1209, 0.1244, 0.1244, 0.1222, 0.1223, 0.1236, 0.1136, 0.0958, 0.1072, 0.1063, 0.1099, 0.0898, 0.0979, 0.1146, 0.1275, 0.1313, 0.1252, 0.1336, 0.1356, 0.1429, 0.1417, 0.1435, 0.1435, 0.1406, 0.146, 0.1413, 0.1296, 0.0921, 0.059, 0.0551, 0.0077, 0.0035, 0.047]}
{"unit_id": "quote:1611526435562295299", "ticker_idx": 0, "ts": "2023-01-07T00:53:37+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$TSLA does not need autonomous ride hail to be a success: the EV opportunity alone is enormous", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish TSLA: EV opportunity alone is enormous, autonomous ride-hail not required for success.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "According to @TashaARK’s and @skorusARK’s research, $TSLA does not need autonomous ride hail to be a success: the EV opportunity alone is enormous.", "reply_text": null, "parent_text": null, "quoted_text": "Tesla's margins, superior drivetrain efficiency and low battery costs should make it one of the best positioned to weather any cyclical slowdown for autos. As it has done in the past, it can be the first to lower prices, which puts pressure on other automakers.", "parent_author": null, "ret_m1d": -0.05602404001454153, "ret_signed_m1d": -0.05602404001454153, "alpha_spy_m1d": -0.05659143157118396, "alpha_c_m1d": -0.050003182740317786, "bench_spy_m1d": 0.000567391556642427, "bench_c_m1d": -0.006020857274223745, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.007681374256751861, "ret_signed_p1d": -0.007681374256751861, "alpha_spy_p1d": -0.014694442237203953, "alpha_c_p1d": -0.02024992119447222, "bench_spy_p1d": 0.007013067980452092, "bench_c_p1d": 0.01256854693772036, "ret_p1w": 0.021958795662742947, "ret_signed_p1w": 0.021958795662742947, "alpha_spy_p1w": -0.00547396642693232, "alpha_c_p1w": -0.029444723360415592, "bench_spy_p1w": 0.027432762089675267, "bench_c_p1w": 0.05140351902315854, "ret_p1m": 0.6432328886600771, "ret_signed_p1m": 0.6432328886600771, "alpha_spy_p1m": 0.5727691443485612, "alpha_c_p1m": 0.5031713756961402, "bench_spy_p1m": 0.07046374431151592, "bench_c_p1m": 0.14006151296393687, "ret_p3m": 0.5451281852340859, "ret_signed_p3m": 0.5451281852340859, "alpha_spy_p3m": 0.486107480243716, "alpha_c_p3m": 0.45103448036764426, "bench_spy_p3m": 0.05902070499036993, "bench_c_p3m": 0.09409370486644164, "ret_p6m": 1.3363113898894627, "ret_signed_p6m": 1.3363113898894627, "alpha_spy_p6m": 1.1834763116472093, "alpha_c_p6m": 1.0363101504227168, "bench_spy_p6m": 0.1528350782422534, "bench_c_p6m": 0.30000123946674595, "price_path": [0.8138, 0.8512, 0.7115, 0.8314, 0.8384, 0.8539, 0.7307, 0.7904, 0.7638, 0.8571, 0.8756, 0.8794, 0.908, 0.8998, 0.9021, 0.7949, 0.7977, 0.7322, 0.6455, 0.5972, 0.4828, 0.5924, 0.6362, 0.5943, 0.6233, 0.5607, 0.5293, 0.5045, 0.4016, 0.4186, 0.5296, 0.5296, 0.5268, 0.5273, 0.5098, 0.6256, 0.6256, 0.627, 0.5233, 0.5014, 0.4531, 0.4481, 0.4949, 0.4012, 0.3438, 0.3092, 0.3164, 0.2543, 0.2513, 0.1505, 0.1486, 0.0466, 0.0282, 0.0282, -0.0891, -0.0589, 0.0171, 0.0285, 0.0285, -0.0974, -0.0512, -0.0787, -0.056, 0.0, -0.0077, 0.0288, 0.0316, 0.022, 0.022, 0.0979, 0.0752, 0.0618, 0.114, 0.2002, 0.2014, 0.2059, 0.3381, 0.4853, 0.3915, 0.4463, 0.5147, 0.5719, 0.5862, 0.6261, 0.6432, 0.6806, 0.731, 0.6439, 0.6251, 0.7471, 0.7888, 0.6869, 0.7393, 0.7393, 0.6479, 0.677, 0.6872, 0.6438, 0.7336, 0.7175, 0.693, 0.5939, 0.6514, 0.6182, 0.5673, 0.5196, 0.4438, 0.4481, 0.4568, 0.5301, 0.5066, 0.5374, 0.504, 0.53, 0.6497, 0.596, 0.6049, 0.5898, 0.6015, 0.5796, 0.6188, 0.6305, 0.7322, 0.6262, 0.6079, 0.549, 0.5451, 0.5451, 0.5405, 0.5596, 0.5074, 0.5521, 0.5446, 0.5617, 0.5389, 0.5078, 0.3609, 0.3783, 0.3572, 0.3415, 0.2837, 0.3375, 0.3719, 0.3512, 0.3385, 0.341, 0.3459, 0.4199, 0.4343, 0.4123, 0.4072, 0.4368, 0.4025, 0.3889, 0.3903, 0.4516, 0.4769, 0.504, 0.5769, 0.5511, 0.5271, 0.5402, 0.6128, 0.6128, 0.6796, 0.7027, 0.7327, 0.7865, 0.8169, 0.8478, 0.875, 0.9609, 1.0406, 1.0859, 1.1601, 1.144, 1.1366, 1.1753, 1.1753, 1.2915, 1.1663, 1.2093, 1.1424, 1.0126, 1.0891, 1.1394, 1.15, 1.1856, 1.3363, 1.3363]}
{"unit_id": "thread:1316577199877746688", "ticker_idx": 0, "ts": "2020-10-15T03:10:39+00:00", "symbol": "SPY", "kind": "etf", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": false, "explicit_audit": "kept_implicit", "polarity_reversed": false, "quote": "Passive investing is unlikely to keep pace with the exponential growth of the five innovation platforms", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Passive/S&P benchmarks will underperform disruptive innovation; TSLA cited as a key opportunity being missed by index investors.", "resolved_tickers": ["SPY"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "self_thread", "lang": "en", "tweet_text": "Disruptive innovation is another way of saying “creative destruction”. @ARKInvest typically researches the “Big Ideas” that will transform the way the world works. In “Bad Ideas”, we highlight the likely victims.\n\n---\n\nThe S&amp;P 500 and the NASDAQ are populating their benchmarks increasingly with the “value traps” created by innovation, stocks that are cheap for a reason. Innovation is disintermediating and/or disrupting the biggest companies in traditional benchmarks.\n\n---\n\nPassive and benchmark-sensitive investing is contributing to the most massive misallocation of capital in history. Investing in companies because of their past successes risks putting the US at a serious competitive disadvantage to countries like China.\n\n---\n\nPassive investing is unlikely to keep pace with the exponential growth of the five innovation platforms and 14 technologies evolving today. In our view, S&amp;P is depriving benchmark-sensitive investors of some of the most important investment opportunities in the world, like $TSLA.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.001237371675149923, "ret_signed_m1d": -0.001237371675149923, "alpha_spy_m1d": 0.0, "alpha_c_m1d": 0.0, "bench_spy_m1d": 0.001237371675149923, "bench_c_m1d": 0.001237371675149923, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.0006043330461511509, "ret_signed_p1d": 0.0006043330461511509, "alpha_spy_p1d": 0.0, "alpha_c_p1d": 0.0, "bench_spy_p1d": -0.0006043330461511509, "bench_c_p1d": -0.0006043330461511509, "ret_p1w": -0.008316471566599093, "ret_signed_p1w": 0.008316471566599093, "alpha_spy_p1w": 0.0, "alpha_c_p1w": 0.0, "bench_spy_p1w": -0.008316471566599093, "bench_c_p1w": -0.008316471566599093, "ret_p1m": 0.030503708136033758, "ret_signed_p1m": -0.030503708136033758, "alpha_spy_p1m": 0.0, "alpha_c_p1m": 0.0, "bench_spy_p1m": 0.030503708136033758, "bench_c_p1m": 0.030503708136033758, "ret_p3m": 0.09463198021721131, "ret_signed_p3m": -0.09463198021721131, "alpha_spy_p3m": 0.0, "alpha_c_p3m": 0.0, "bench_spy_p3m": 0.09463198021721131, "bench_c_p3m": 0.09463198021721131, "ret_p6m": 0.19308644511009398, "ret_signed_p6m": -0.19308644511009398, "alpha_spy_p6m": 0.0, "alpha_c_p6m": 0.0, "bench_spy_p6m": 0.19308644511009398, "bench_c_p6m": 0.19308644511009398, "price_path": [-0.0704, -0.0684, -0.0631, -0.0743, -0.0803, -0.0736, -0.0795, -0.0681, -0.0715, -0.0641, -0.0576, -0.054, -0.0481, -0.0417, -0.041, -0.0382, -0.0461, -0.0328, -0.0346, -0.0345, -0.0315, -0.0294, -0.0334, -0.0304, -0.027, -0.0171, -0.0137, -0.0038, -0.0016, 0.0048, 0.0012, 0.0106, 0.0252, -0.01, -0.0181, -0.0181, -0.0449, -0.0261, -0.043, -0.0425, -0.0299, -0.025, -0.0289, -0.0374, -0.0485, -0.0591, -0.0495, -0.0715, -0.0691, -0.054, -0.0383, -0.0435, -0.0363, -0.0301, -0.0393, -0.0223, -0.0362, -0.0194, -0.0107, -0.0019, 0.0142, 0.0076, 0.0012, 0.0, -0.0006, -0.0158, -0.0119, -0.0137, -0.0083, -0.0049, -0.0233, -0.0267, -0.06, -0.0504, -0.0603, -0.0498, -0.033, -0.0114, 0.0079, 0.0077, 0.0203, 0.0188, 0.0264, 0.0164, 0.0305, 0.0434, 0.0378, 0.0253, 0.0296, 0.0225, 0.0287, 0.0452, 0.0436, 0.0436, 0.0465, 0.0419, 0.0533, 0.0555, 0.0552, 0.0643, 0.0621, 0.0652, 0.0557, 0.0553, 0.0541, 0.0494, 0.0636, 0.0652, 0.0712, 0.0669, 0.0631, 0.0613, 0.0623, 0.0664, 0.0664, 0.0756, 0.0735, 0.075, 0.0805, 0.0805, 0.0658, 0.0731, 0.0795, 0.0956, 0.1018, 0.0944, 0.0946, 0.0976, 0.0937, 0.0858, 0.0858, 0.0943, 0.1094, 0.1104, 0.1065, 0.1109, 0.1091, 0.082, 0.0913, 0.0695, 0.0873, 0.1027, 0.1035, 0.1161, 0.1205, 0.1286, 0.1278, 0.1273, 0.1291, 0.1347, 0.1347, 0.1337, 0.134, 0.1292, 0.1272, 0.1185, 0.1199, 0.1322, 0.1049, 0.0992, 0.1259, 0.1171, 0.1023, 0.0886, 0.1087, 0.1032, 0.1189, 0.1259, 0.1373, 0.1388, 0.1456, 0.1442, 0.1481, 0.1314, 0.1293, 0.1383, 0.1293, 0.1236, 0.1299, 0.1481, 0.1475, 0.1445, 0.1491, 0.1615, 0.1615, 0.1782, 0.1775, 0.1789, 0.1845, 0.1931]}
{"unit_id": "thread:1316577199877746688", "ticker_idx": 1, "ts": "2020-10-15T03:10:39+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "S&P is depriving benchmark-sensitive investors of some of the most important investment opportunities in the world, like $TSLA", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Passive/S&P benchmarks will underperform disruptive innovation; TSLA cited as a key opportunity being missed by index investors.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "self_thread", "lang": "en", "tweet_text": "Disruptive innovation is another way of saying “creative destruction”. @ARKInvest typically researches the “Big Ideas” that will transform the way the world works. In “Bad Ideas”, we highlight the likely victims.\n\n---\n\nThe S&amp;P 500 and the NASDAQ are populating their benchmarks increasingly with the “value traps” created by innovation, stocks that are cheap for a reason. Innovation is disintermediating and/or disrupting the biggest companies in traditional benchmarks.\n\n---\n\nPassive and benchmark-sensitive investing is contributing to the most massive misallocation of capital in history. Investing in companies because of their past successes risks putting the US at a serious competitive disadvantage to countries like China.\n\n---\n\nPassive investing is unlikely to keep pace with the exponential growth of the five innovation platforms and 14 technologies evolving today. In our view, S&amp;P is depriving benchmark-sensitive investors of some of the most important investment opportunities in the world, like $TSLA.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.02766886129040458, "ret_signed_m1d": 0.02766886129040458, "alpha_spy_m1d": 0.026431489615254655, "alpha_c_m1d": 0.03136398953540165, "bench_spy_m1d": 0.001237371675149923, "bench_c_m1d": -0.00369512824499707, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.02051768046956881, "ret_signed_p1d": -0.02051768046956881, "alpha_spy_p1d": -0.01991334742341766, "alpha_c_p1d": -0.011441654823877712, "bench_spy_p1d": -0.0006043330461511509, "bench_c_p1d": -0.0090760256456911, "ret_p1w": -0.05143916443239005, "ret_signed_p1w": -0.05143916443239005, "alpha_spy_p1w": -0.04312269286579096, "alpha_c_p1w": -0.0346483619128134, "bench_spy_p1w": -0.008316471566599093, "bench_c_p1w": -0.016790802519576653, "ret_p1m": -0.0899571718468809, "ret_signed_p1m": -0.0899571718468809, "alpha_spy_p1m": -0.12046087998291466, "alpha_c_p1m": -0.08477094532317553, "bench_spy_p1m": 0.030503708136033758, "bench_c_p1m": -0.005186226523705373, "ret_p3m": 0.8923543532267659, "ret_signed_p3m": 0.8923543532267659, "alpha_spy_p3m": 0.7977223730095546, "alpha_c_p3m": 0.8000902823372058, "bench_spy_p3m": 0.09463198021721131, "bench_c_p3m": 0.09226407088956012, "ret_p6m": 0.5082428158544423, "ret_signed_p6m": 0.5082428158544423, "alpha_spy_p6m": 0.3151563707443483, "alpha_c_p6m": 0.3634371476339926, "bench_spy_p6m": 0.19308644511009398, "bench_c_p6m": 0.1448056682204497, "price_path": [-0.268, -0.3012, -0.2905, -0.3258, -0.3687, -0.314, -0.3421, -0.3321, -0.3372, -0.3625, -0.3384, -0.3375, -0.3383, -0.3363, -0.3527, -0.368, -0.3876, -0.3073, -0.2778, -0.2645, -0.1821, -0.1592, -0.163, -0.1081, -0.0866, -0.1026, -0.0985, -0.0406, -0.0025, -0.0138, 0.1101, 0.0583, -0.0034, -0.0933, -0.0681, -0.0681, -0.2644, -0.184, -0.1727, -0.1697, -0.0652, 0.002, -0.0159, -0.0567, -0.015, 0.0011, -0.0549, -0.1526, -0.1361, -0.0925, -0.0617, -0.0664, -0.0443, -0.0016, -0.0753, -0.0517, -0.0777, -0.0525, -0.0511, -0.0331, -0.0147, -0.005, 0.0277, 0.0, -0.0205, -0.0402, -0.06, -0.0585, -0.0514, -0.0629, -0.0637, -0.0539, -0.0955, -0.0848, -0.1355, -0.1078, -0.0556, -0.0622, -0.024, -0.0422, -0.0615, -0.0858, -0.0707, -0.0827, -0.09, -0.0909, -0.0162, 0.0841, 0.1123, 0.0907, 0.1626, 0.2373, 0.2787, 0.2787, 0.3049, 0.2645, 0.3027, 0.2672, 0.3219, 0.3345, 0.4297, 0.4478, 0.3466, 0.397, 0.3589, 0.4254, 0.4107, 0.3874, 0.4612, 0.5483, 0.4477, 0.4265, 0.4391, 0.4743, 0.4743, 0.4785, 0.4837, 0.5478, 0.5721, 0.5721, 0.6258, 0.6377, 0.6841, 0.8179, 0.9605, 0.8071, 0.8924, 0.9034, 0.8825, 0.8405, 0.8405, 0.8815, 0.8946, 0.8824, 0.8861, 0.9622, 0.9673, 0.9251, 0.8611, 0.7678, 0.8709, 0.9444, 0.9041, 0.8936, 0.8986, 0.9235, 0.8924, 0.793, 0.8082, 0.8181, 0.8181, 0.7738, 0.7781, 0.7541, 0.7406, 0.5917, 0.5569, 0.653, 0.5198, 0.5049, 0.6005, 0.5292, 0.4552, 0.3844, 0.3321, 0.2542, 0.5006, 0.4883, 0.5585, 0.5455, 0.5771, 0.5079, 0.5635, 0.4551, 0.4589, 0.4926, 0.4751, 0.4041, 0.4266, 0.3783, 0.3618, 0.416, 0.488, 0.4742, 0.4742, 0.5395, 0.5408, 0.4948, 0.5233, 0.5082]}
{"unit_id": "quote:1027141297956679680", "ticker_idx": 0, "ts": "2018-08-08T10:35:43+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "stocks of companies focused on innovation are the most inefficiently priced stocks in the market. $TSLA is in that category today", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish TSLA: CathieWood argues it is mispriced due to short-term thinking, implying upside from current levels.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "Yes, @jwangARK, and because of such short term thinking, stocks of companies focused on innovation are the most inefficiently priced stocks in the market. $TSLA is in that category today.", "reply_text": null, "parent_text": null, "quoted_text": "1/ No narrative is more tiresome and false than the idea that because companies are going public later, investors now have fewer choices and lower returns than a decade ago. It's the worst combination of hindsight bias plus laziness.", "parent_author": null, "ret_m1d": 0.024923053128858674, "ret_signed_m1d": 0.024923053128858674, "alpha_spy_m1d": 0.024502548699380844, "alpha_c_m1d": 0.025982628228365168, "bench_spy_m1d": 0.0004205044294778304, "bench_c_m1d": -0.0010595750995064934, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.04830689844604441, "ret_signed_p1d": -0.04830689844604441, "alpha_spy_p1d": -0.046940424650582124, "alpha_c_p1d": -0.052015338770354136, "bench_spy_p1d": -0.0013664737954622863, "bench_c_p1d": 0.0037084403243097253, "ret_p1w": -0.08546203389115581, "ret_signed_p1w": -0.08546203389115581, "alpha_spy_p1w": -0.0725701978916169, "alpha_c_p1w": -0.07318836848800159, "bench_spy_p1w": -0.012891835999538914, "bench_c_p1w": -0.012273665403154221, "ret_p1m": -0.2413727997011199, "ret_signed_p1m": -0.2413727997011199, "alpha_spy_p1m": -0.25083140943145876, "alpha_c_p1m": -0.2620350943332008, "bench_spy_p1m": 0.009458609730338852, "bench_c_p1m": 0.020662294632080913, "ret_p3m": -0.07814438470739404, "ret_signed_p3m": -0.07814438470739404, "alpha_spy_p3m": -0.04019697624433738, "alpha_c_p3m": -0.03569988040650551, "bench_spy_p3m": -0.037947408463056664, "bench_c_p3m": -0.04244450430088853, "ret_p6m": -0.1709779910433309, "ret_signed_p6m": -0.1709779910433309, "alpha_spy_p6m": -0.12640169125829814, "alpha_c_p6m": -0.13815437062679092, "bench_spy_p6m": -0.04457629978503275, "bench_c_p6m": -0.03282362041653997, "price_path": [-0.1871, -0.2116, -0.2327, -0.2264, -0.2317, -0.2525, -0.2318, -0.2574, -0.2464, -0.2497, -0.247, -0.247, -0.2338, -0.2123, -0.2312, -0.212, -0.1987, -0.2139, -0.1373, -0.1465, -0.1422, -0.1033, -0.0744, -0.069, -0.0341, -0.0329, 0.0013, -0.048, -0.0219, -0.0616, -0.0991, -0.1008, -0.0765, -0.0698, -0.0551, -0.074, -0.0952, -0.1606, -0.1606, -0.1652, -0.1659, -0.14, -0.1293, -0.1387, -0.1448, -0.139, -0.1627, -0.1287, -0.1255, -0.1353, -0.1533, -0.1813, -0.1969, -0.1663, -0.172, -0.1975, -0.2165, -0.195, -0.1877, -0.0562, -0.0599, -0.0766, 0.0249, 0.0, -0.0483, -0.0401, -0.0376, -0.0613, -0.0855, -0.0942, -0.1751, -0.1671, -0.1308, -0.1315, -0.1357, -0.1283, -0.1379, -0.1579, -0.1764, -0.1814, -0.1855, -0.1855, -0.2198, -0.2419, -0.2414, -0.2892, -0.2291, -0.2455, -0.2155, -0.2184, -0.2029, -0.2039, -0.2305, -0.1926, -0.1944, -0.1924, -0.1908, -0.1873, -0.1641, -0.1696, -0.2851, -0.161, -0.1872, -0.204, -0.239, -0.2927, -0.3234, -0.2904, -0.3064, -0.3189, -0.3012, -0.299, -0.2531, -0.2661, -0.2874, -0.2979, -0.2954, -0.2058, -0.221, -0.1498, -0.1065, -0.0958, -0.1092, -0.0892, -0.0704, -0.0646, -0.0781, -0.0791, -0.0599, -0.0511, -0.0535, -0.1055, -0.0854, -0.0711, -0.0591, -0.0433, -0.0456, -0.0617, -0.0868, -0.0868, -0.1202, -0.0657, -0.0713, -0.0607, -0.0788, -0.0536, -0.032, -0.0287, -0.0287, -0.0197, -0.0334, -0.014, -0.0097, -0.0101, 0.0174, -0.0125, -0.0592, -0.0899, -0.1009, -0.1484, -0.1366, -0.2024, -0.2024, -0.1195, -0.1464, -0.0985, -0.1014, -0.1014, -0.1626, -0.189, -0.1422, -0.0955, -0.0945, -0.0859, -0.0685, -0.0623, -0.097, -0.07, -0.0656, -0.0622, -0.1838, -0.1838, -0.1928, -0.2234, -0.2129, -0.1979, -0.1997, -0.1968, -0.1663, -0.171]}
{"unit_id": "quote:2017660563870847014", "ticker_idx": 0, "ts": "2026-01-31T18:05:39+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "the gold price led the last two significant bull moves in the bitcoin price in the last two major cycles", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Implies BTC is poised for a bull move as gold (now at ATH ratio) has historically led major BTC cycles.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Also important to note is that the correlation between the bitcoin and gold prices has been 0.14 since early 2020, and that the gold price led the last two significant bull moves in the bitcoin price in the last two major cycles.", "reply_text": null, "parent_text": null, "quoted_text": "Gold’s market cap as a % of US M2 just hit ~170%+.\n\nThis is an all-time high, matching the Great Depression (1934) and above the 1980 inflation peak. \n\nHistorically, extremes in this ratio show up around macro stress/dollar regime shifts and often mark turning points (1980 https://t.co/7Pag3QCN7A", "parent_author": null, "ret_m1d": 0.06913173159843944, "ret_signed_m1d": 0.06913173159843944, "alpha_spy_m1d": 0.07407850154459417, "alpha_c_m1d": null, "bench_spy_m1d": -0.004946769946154728, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.03882661934945053, "ret_signed_p1d": -0.03882661934945053, "alpha_spy_p1d": -0.03037122291874994, "alpha_c_p1d": null, "bench_spy_p1d": -0.00845539643070059, "bench_c_p1d": null, "ret_p1w": -0.10888446790272044, "ret_signed_p1w": -0.10888446790272044, "alpha_spy_p1w": -0.10678503015247987, "alpha_c_p1w": null, "bench_spy_p1w": -0.0020994377502405737, "bench_c_p1w": null, "ret_p1m": -0.13210420960266522, "ret_signed_p1m": -0.13210420960266522, "alpha_spy_p1m": -0.11041923105116547, "alpha_c_p1m": null, "bench_spy_p1m": -0.021684978551499756, "bench_c_p1m": null, "ret_p3m": -0.030302233026037517, "ret_signed_p3m": -0.030302233026037517, "alpha_spy_p3m": -0.06655804003301113, "alpha_c_p3m": null, "bench_spy_p3m": 0.03625580700697362, "bench_c_p3m": null, "ret_p6m": null, "ret_signed_p6m": null, "alpha_spy_p6m": null, "alpha_c_p6m": null, "bench_spy_p6m": null, "bench_c_p6m": null, "price_path": [0.3203, 0.2874, 0.3137, 0.347, 0.3089, 0.292, 0.267, 0.1996, 0.1704, 0.1812, 0.1624, 0.1009, 0.0814, 0.1218, 0.11, 0.1503, 0.1601, 0.1554, 0.097, 0.1609, 0.1886, 0.171, 0.136, 0.1519, 0.178, 0.1694, 0.1757, 0.1472, 0.0982, 0.1163, 0.0947, 0.0861, 0.1196, 0.1246, 0.1109, 0.1134, 0.1086, 0.1095, 0.1074, 0.1238, 0.1121, 0.1276, 0.143, 0.1931, 0.1911, 0.1604, 0.1568, 0.1503, 0.1589, 0.2114, 0.2318, 0.2143, 0.214, 0.1762, 0.1223, 0.1358, 0.1369, 0.1374, 0.1217, 0.1323, 0.1334, 0.0746, 0.0691, 0.0, -0.0388, -0.072, -0.2032, -0.1034, -0.1089, -0.1257, -0.1486, -0.1584, -0.1249, -0.1251, -0.1423, -0.1558, -0.1491, -0.1358, -0.1788, -0.1857, -0.1363, -0.1428, -0.1628, -0.126, -0.1321, -0.076, -0.0997, -0.1341, -0.1307, -0.1113, -0.1078, -0.1041, -0.0981, -0.0486, -0.0606, -0.0946, -0.1115, -0.1038, -0.0988, -0.1038, -0.0938, -0.1258, -0.157, -0.1525, -0.1329, -0.1348, -0.15, -0.1494, -0.1249, -0.0858, -0.0961, -0.088, -0.0726, -0.0534, -0.0573, -0.0494, -0.0449, -0.0198, -0.0358, -0.0297, -0.0062, -0.0053, -0.0157, -0.0168, -0.0297, -0.037, -0.0303, -0.0065, 0.0145, 0.0284, 0.0348, 0.0168, 0.019, 0.0386, 0.0227, 0.0075, 0.03, 0.0048, -0.022, -0.0246, -0.0156, -0.0146, -0.0407, -0.0179, -0.0364, -0.0552, -0.0655, -0.0676, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null]}
{"unit_id": "quote:885249140027871232", "ticker_idx": 0, "ts": "2017-07-12T21:26:56+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Bitcoin is in the early stages of a serious bull market and will remain volatile!", "tweet_type": "prediction", "timeline": "years", "summary": "BTC in early stages of a serious bull market; long-term bullish despite expected volatility.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Keeping the big picture in perspective is important.  #Bitcoin is in the early stages of a serious bull market and will remain volatile! https://t.co/Z27uTOwi9u", "reply_text": null, "parent_text": null, "quoted_text": "Just published my first blog @Medium: \"#Cryptoassets could correct 75% and still be in a bull market\" https://t.co/LPqPv2w3mR", "parent_author": null, "ret_m1d": -0.02544982015946229, "ret_signed_m1d": -0.02544982015946229, "alpha_spy_m1d": -0.017990935525195262, "alpha_c_m1d": null, "bench_spy_m1d": -0.007458884634267027, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.01706665890466874, "ret_signed_p1d": -0.01706665890466874, "alpha_spy_p1d": -0.018746818687778055, "alpha_c_p1d": null, "bench_spy_p1d": 0.001680159783109314, "bench_c_p1d": null, "ret_p1w": -0.05227949828046985, "ret_signed_p1w": -0.05227949828046985, "alpha_spy_p1w": -0.06449208973317011, "alpha_c_p1w": null, "bench_spy_p1w": 0.012212591452700261, "bench_c_p1w": null, "ret_p1m": 0.4095479087437379, "ret_signed_p1m": 0.4095479087437379, "alpha_spy_p1m": 0.4105724244221792, "alpha_c_p1m": null, "bench_spy_p1m": -0.0010245156784413068, "bench_c_p1m": null, "ret_p3m": 0.9893030984518172, "ret_signed_p3m": 0.9893030984518172, "alpha_spy_p3m": 0.9434024852279435, "alpha_c_p3m": null, "bench_spy_p3m": 0.04590061322387373, "bench_c_p3m": null, "ret_p6m": 5.502809534515227, "ret_signed_p6m": 5.502809534515227, "alpha_spy_p6m": 5.378457401099115, "alpha_c_p6m": null, "bench_spy_p6m": 0.12435213341611173, "bench_c_p6m": null, "price_path": [-0.5133, -0.5023, -0.4949, -0.4955, -0.4876, -0.4906, -0.4789, -0.4725, -0.466, -0.4507, -0.4512, -0.4074, -0.3944, -0.3788, -0.359, -0.3516, -0.2816, -0.2682, -0.255, -0.2294, -0.2812, -0.2753, -0.277, -0.2333, -0.2127, -0.1714, -0.094, -0.0327, 0.0187, -0.0391, -0.0819, -0.0597, -0.0931, -0.0469, 0.0038, 0.0374, 0.12, 0.1936, 0.139, 0.1696, 0.1772, 0.1087, 0.1326, 0.0448, 0.0274, 0.0499, 0.0795, 0.1346, 0.121, 0.1278, 0.1443, 0.0332, 0.064, 0.0733, 0.0586, 0.0342, 0.0689, 0.0845, 0.0847, 0.0874, 0.0499, -0.011, -0.0254, 0.0, -0.0171, -0.069, -0.071, -0.0333, -0.0523, 0.1746, 0.1121, 0.1484, 0.0741, 0.0544, 0.1138, 0.171, 0.1986, 0.1332, 0.13, 0.1692, 0.2072, 0.4086, 0.4257, 0.3934, 0.4095, 0.5218, 0.803, 0.7433, 0.8245, 0.8057, 0.7344, 0.6682, 0.7094, 0.7306, 0.807, 0.8224, 0.827, 0.9088, 0.9031, 0.9607, 1.0393, 0.766, 0.8244, 0.9164, 0.9175, 0.7628, 0.7347, 0.722, 0.6185, 0.3152, 0.5164, 0.6947, 0.6362, 0.6283, 0.5137, 0.5135, 0.6367, 0.6226, 0.7511, 0.7403, 0.7355, 0.8381, 0.7998, 0.7631, 0.8044, 0.8221, 0.9893, 0.9935, 1.012, 1.2706, 1.3541, 1.3868, 1.3368, 1.3306, 1.3797, 1.506, 1.4722, 1.3039, 1.3973, 1.4615, 1.4099, 1.5556, 1.6965, 1.8211, 1.9508, 2.0047, 1.9276, 1.9783, 2.1097, 1.9779, 1.7589, 1.7344, 1.7662, 2.0496, 2.2815, 2.2136, 2.4186, 2.3647, 2.4406, 2.3511, 2.4407, 3.093, 3.1932, 3.1222, 3.2661, 3.5754, 3.8595, 3.9677, 4.9577, 6.4618, 5.9073, 6.0604, 6.2599, 5.8401, 5.905, 6.3814, 6.9681, 6.4105, 5.9303, 5.5877, 4.766, 4.8472, 5.7115, 5.6026, 5.089, 5.1097, 4.6933, 5.2456, 5.3368, 5.5028]}
{"unit_id": "quote:1857569183522754949", "ticker_idx": 0, "ts": "2024-11-15T23:39:39+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "the bull market in bitcoin is in good shape", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Endorses bullish Bitcoin thesis: bull market on track, post-halving supply growth below gold's for first time.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Based on @dpuellARK’s on-chain analytics and analysis, the bull market in bitcoin is in good shape. After its halving in April, growth in the supply of bitcoin dropped to 0.9%, below the long term growth in the supply of gold for the first time!", "reply_text": null, "parent_text": null, "quoted_text": "New #Bitcoin blog is now live!\n\nWhat are the cycles of bitcoin's growth? Are we on track with past cycles?\n\nFull blog here: https://t.co/iY1ss65m2Z\n\nA thread below... https://t.co/v0iPG0zVq4", "parent_author": null, "ret_m1d": -0.04189903803465356, "ret_signed_m1d": -0.04189903803465356, "alpha_spy_m1d": -0.054873726546668555, "alpha_c_m1d": null, "bench_spy_m1d": 0.012974688512014998, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.0057471190411420014, "ret_signed_p1d": -0.0057471190411420014, "alpha_spy_p1d": -0.00984450074740928, "alpha_c_p1d": null, "bench_spy_p1d": 0.004097381706267278, "bench_c_p1d": null, "ret_p1w": 0.08709788032358734, "ret_signed_p1w": 0.08709788032358734, "alpha_spy_p1w": 0.07043544220858222, "alpha_c_p1w": null, "bench_spy_p1w": 0.016662438115005118, "bench_c_p1w": null, "ret_p1m": 0.16431719471341566, "ret_signed_p1m": 0.16431719471341566, "alpha_spy_p1m": 0.12839748684835195, "alpha_c_p1m": null, "bench_spy_p1m": 0.03591970786506371, "bench_c_p1m": null, "ret_p3m": 0.07488910216138733, "ret_signed_p3m": 0.07488910216138733, "alpha_spy_p3m": 0.041358349206244815, "alpha_c_p3m": null, "bench_spy_p3m": 0.03353075295514252, "bench_c_p3m": null, "ret_p6m": 0.12899374414969778, "ret_signed_p6m": 0.12899374414969778, "alpha_spy_p6m": 0.12735182158140845, "alpha_c_p6m": null, "bench_spy_p6m": 0.0016419225682893224, "bench_c_p6m": null, "price_path": [-0.352, -0.3282, -0.3369, -0.2962, -0.3095, -0.3466, -0.3518, -0.3479, -0.3508, -0.3509, -0.3693, -0.3634, -0.3833, -0.4076, -0.3739, -0.367, -0.3703, -0.3617, -0.3349, -0.361, -0.3377, -0.323, -0.3088, -0.3061, -0.3046, -0.2939, -0.3066, -0.2842, -0.2775, -0.3046, -0.3319, -0.3342, -0.3328, -0.3184, -0.3166, -0.3177, -0.3347, -0.3381, -0.3143, -0.2747, -0.2638, -0.2575, -0.2599, -0.2487, -0.2602, -0.2603, -0.2705, -0.2515, -0.2682, -0.2323, -0.2015, -0.2056, -0.229, -0.237, -0.2554, -0.2384, -0.1694, -0.1665, -0.1595, -0.026, -0.0342, -0.0053, -0.0419, 0.0, -0.0057, 0.014, 0.0359, 0.0817, 0.0871, 0.0224, 0.0101, 0.0538, 0.0504, 0.0702, 0.0527, 0.0542, 0.0846, 0.0607, 0.0972, 0.0699, 0.0616, 0.111, 0.0986, 0.1141, 0.1643, 0.1655, 0.0986, 0.0706, 0.0735, 0.0398, 0.0836, 0.0904, 0.0519, 0.034, 0.0173, 0.026, 0.0368, 0.0639, 0.0773, 0.1209, 0.0643, 0.0437, 0.0156, 0.0399, 0.0379, 0.06, 0.1036, 0.0954, 0.1471, 0.1202, 0.1656, 0.1382, 0.1416, 0.151, 0.121, 0.1127, 0.1388, 0.1501, 0.1245, 0.1135, 0.0747, 0.0609, 0.0607, 0.06, 0.07, 0.0514, 0.0749, 0.061, 0.0708, 0.0517, 0.0491, 0.0612, 0.0798, 0.0556, 0.0039, -0.0256, -0.0738, -0.0699, -0.0735, -0.0549, -0.0422, -0.0049, -0.0121, -0.0475, -0.1376, -0.0901, -0.0806, -0.1098, -0.0779, -0.0768, -0.0917, -0.0462, -0.0758, -0.0771, -0.0392, -0.0395, -0.0457, -0.0427, -0.0737, -0.0935, -0.0648, -0.0942, -0.0874, -0.0793, -0.1299, -0.1625, -0.0933, -0.1256, -0.0841, -0.0716, -0.0812, -0.0772, -0.0678, -0.0726, -0.039, 0.0261, 0.0289, 0.0316, 0.0401, 0.043, 0.0353, 0.0345, 0.0596, 0.0642, 0.0404, 0.063, 0.0655, 0.1337, 0.1307, 0.129]}
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{"unit_id": "quote:887493274394558466", "ticker_idx": 0, "ts": "2017-07-19T02:04:20+00:00", "symbol": "S&P500", "kind": "index", "geography": "US", "sub_sector": null, "direction": "long", "conviction": "high", "explicit": false, "explicit_audit": "kept_implicit", "polarity_reversed": false, "quote": "This market is climbing a wall of worry, broadening out...into a real bull market.", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish US equities broadly; dismisses 1999-bubble comparison, calls it a real broadening bull market.", "resolved_tickers": ["SPY"], "resolution_method": "etf", "resolution_reason": "S&P 500 index; SPY ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "This equity market bears no resemblance to 1999.  This market is climbing a wall of worry, broadening out...into a real bull market. https://t.co/Bp4Ykq5yWk", "reply_text": null, "parent_text": null, "quoted_text": "In 1999, there were more than 500 IPOs. Average first-day gain was 68%, ten popped &gt;350%. Is it really like '99? https://t.co/mbYwW90wM3", "parent_author": null, "ret_m1d": -0.005385065429884928, "ret_signed_m1d": -0.005385065429884928, "alpha_spy_m1d": 0.0, "alpha_c_m1d": 0.0, "bench_spy_m1d": -0.005385065429884928, "bench_c_m1d": -0.005385065429884928, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.00044531684921267356, "ret_signed_p1d": 0.00044531684921267356, "alpha_spy_p1d": 0.0, "alpha_c_p1d": 0.0, "bench_spy_p1d": 0.00044531684921267356, "bench_c_p1d": 0.00044531684921267356, "ret_p1w": 0.00178133829588778, "ret_signed_p1w": 0.00178133829588778, "alpha_spy_p1w": 0.0, "alpha_c_p1w": 0.0, "bench_spy_p1w": 0.00178133829588778, "bench_c_p1w": 0.00178133829588778, "ret_p1m": -0.015790137149932493, "ret_signed_p1m": -0.015790137149932493, "alpha_spy_p1m": 0.0, "alpha_c_p1m": 0.0, "bench_spy_p1m": -0.015790137149932493, "bench_c_p1m": -0.015790137149932493, "ret_p3m": 0.03873391619904032, "ret_signed_p3m": 0.03873391619904032, "alpha_spy_p3m": 0.0, "alpha_c_p3m": 0.0, "bench_spy_p3m": 0.03873391619904032, "bench_c_p3m": 0.03873391619904032, "ret_p6m": 0.129231006360778, "ret_signed_p6m": 0.129231006360778, "alpha_spy_p6m": 0.0, "alpha_c_p6m": 0.0, "bench_spy_p6m": 0.129231006360778, "bench_c_p6m": 0.129231006360778, "price_path": [-0.0548, -0.0444, -0.0389, -0.0395, -0.0387, -0.0408, -0.0383, -0.038, -0.0391, -0.038, -0.0342, -0.0344, -0.0353, -0.0335, -0.0355, -0.0371, -0.0318, -0.0327, -0.0499, -0.046, -0.0398, -0.035, -0.0328, -0.0306, -0.0259, -0.0261, -0.0261, -0.027, -0.0272, -0.0195, -0.0162, -0.0169, -0.0201, -0.0183, -0.0178, -0.0193, -0.0195, -0.0147, -0.0159, -0.0178, -0.0176, -0.0094, -0.0161, -0.0164, -0.0168, -0.0156, -0.015, -0.0229, -0.0142, -0.0228, -0.021, -0.0194, -0.0194, -0.0171, -0.0261, -0.0198, -0.0187, -0.0194, -0.0121, -0.0104, -0.0058, -0.0059, -0.0054, 0.0, 0.0004, -0.0004, -0.0007, 0.0017, 0.0018, 0.0009, -0.0003, -0.0009, 0.0013, 0.0018, -0.0001, 0.0017, 0.0036, 0.0011, 0.0011, -0.0131, -0.0116, -0.0018, -0.0019, -0.0002, -0.0158, -0.0173, -0.0166, -0.0063, -0.0098, -0.0121, -0.0098, -0.0098, -0.0087, -0.004, 0.002, 0.0034, 0.0034, -0.0038, -0.0004, -0.0005, -0.0017, 0.009, 0.0124, 0.0129, 0.0126, 0.0139, 0.0161, 0.0171, 0.0175, 0.0147, 0.0149, 0.0129, 0.0135, 0.0174, 0.0186, 0.0222, 0.0266, 0.0288, 0.0301, 0.0362, 0.035, 0.0333, 0.036, 0.0376, 0.0361, 0.0374, 0.0387, 0.0395, 0.0405, 0.0408, 0.0461, 0.0421, 0.0439, 0.0387, 0.0401, 0.0486, 0.0447, 0.0463, 0.0477, 0.0481, 0.0516, 0.0532, 0.0525, 0.0543, 0.0505, 0.0501, 0.0511, 0.0487, 0.0434, 0.0523, 0.0492, 0.051, 0.0579, 0.0569, 0.0569, 0.0594, 0.0588, 0.0696, 0.0689, 0.0783, 0.076, 0.0747, 0.0709, 0.0711, 0.0745, 0.0803, 0.0836, 0.0855, 0.0854, 0.0809, 0.0899, 0.0968, 0.0926, 0.0921, 0.0943, 0.094, 0.094, 0.0927, 0.0932, 0.0955, 0.0914, 0.0914, 0.0992, 0.1061, 0.1108, 0.1182, 0.1202, 0.1228, 0.1211, 0.1292]}
{"unit_id": "quote:865232793223266304", "ticker_idx": 0, "ts": "2017-05-18T15:49:07+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Not true, if $TSLA is aiming for the $2T autonomous taxi market, which will turn into natural monopolies. #Tesla has a good shot at the US.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish TSLA: disputes Musk's self-deprecation, citing $2T autonomous taxi market where Tesla could be a natural monopoly in the US.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "Not true, if $TSLA is aiming for the $2T autonomous taxi market, which will turn into natural monopolies. #Tesla has a good shot at the US. https://t.co/3DBIK0oySE", "reply_text": null, "parent_text": null, "quoted_text": "ELON MUSK: Tesla is worth more than 'we have any right to deserve' $TSLA https://t.co/4CqwHcD1EN https://t.co/NeZxRYtNwQ", "parent_author": null, "ret_m1d": -0.02220020763573094, "ret_signed_m1d": -0.02220020763573094, "alpha_spy_m1d": -0.018187966532340116, "alpha_c_m1d": -0.016446944700981514, "bench_spy_m1d": -0.004012241103390823, "bench_c_m1d": -0.005753262934749426, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.007123221570720428, "ret_signed_p1d": -0.007123221570720428, "alpha_spy_p1d": -0.013627859177710588, "alpha_c_p1d": -0.013891162853938877, "bench_spy_p1d": 0.00650463760699016, "bench_c_p1d": 0.006767941283218448, "ret_p1w": 0.012042415446928523, "ret_signed_p1w": 0.012042415446928523, "alpha_spy_p1w": -0.009033109830316688, "alpha_c_p1w": -0.008487436168007845, "bench_spy_p1w": 0.02107552527724521, "bench_c_p1w": 0.020529851614936367, "ret_p1m": 0.18635407375455126, "ret_signed_p1m": 0.18635407375455126, "alpha_spy_p1m": 0.15656459935843303, "alpha_c_p1m": 0.1663328316614061, "bench_spy_p1m": 0.029789474396118232, "bench_c_p1m": 0.020021242093145153, "ret_p3m": 0.15738194373364145, "ret_signed_p3m": 0.15738194373364145, "alpha_spy_p3m": 0.11116781717569846, "alpha_c_p3m": 0.14279148449547163, "bench_spy_p3m": 0.04621412655794299, "bench_c_p3m": 0.014590459238169817, "ret_p6m": -0.03216635716270155, "ret_signed_p6m": -0.03216635716270155, "alpha_spy_p6m": -0.13296334286122402, "alpha_c_p6m": -0.08100406913313019, "bench_spy_p6m": 0.10079698569852247, "bench_c_p6m": 0.04883771197042863, "price_path": [-0.1304, -0.1139, -0.1263, -0.1823, -0.1791, -0.2135, -0.2015, -0.2014, -0.1999, -0.1964, -0.1976, -0.2059, -0.2114, -0.2177, -0.2216, -0.2137, -0.1759, -0.1831, -0.1629, -0.1647, -0.1634, -0.1993, -0.1854, -0.1862, -0.1594, -0.1368, -0.1137, -0.114, -0.1122, -0.111, -0.0464, -0.0299, -0.0577, -0.0459, -0.0336, -0.0021, -0.0139, -0.0518, -0.0289, -0.0289, -0.0371, -0.0409, -0.0241, -0.0337, -0.0238, -0.0161, 0.0023, -0.0092, -0.0142, 0.0032, 0.0312, 0.0186, -0.0065, -0.0562, -0.015, -0.0188, 0.0262, 0.0388, 0.0321, 0.0375, 0.009, 0.0126, -0.0222, 0.0, -0.0071, -0.0087, -0.0294, -0.0091, 0.012, 0.0386, 0.0386, 0.0704, 0.0893, 0.0872, 0.0856, 0.1094, 0.1271, 0.1488, 0.1819, 0.1414, 0.1468, 0.2009, 0.2159, 0.1989, 0.1864, 0.1812, 0.189, 0.2023, 0.2222, 0.2248, 0.2058, 0.1575, 0.1858, 0.1523, 0.1551, 0.1264, 0.1264, 0.0448, -0.0135, 0.0005, 0.0096, 0.0452, 0.0526, 0.0331, 0.047, 0.0208, 0.0485, 0.039, 0.0539, 0.049, 0.0941, 0.0848, 0.0984, 0.0684, 0.0703, 0.0333, 0.0208, 0.041, 0.1087, 0.1401, 0.1345, 0.1666, 0.1612, 0.1352, 0.1431, 0.1621, 0.1574, 0.1592, 0.1241, 0.1099, 0.0792, 0.0904, 0.1268, 0.1274, 0.1118, 0.1041, 0.1096, 0.1282, 0.1368, 0.1352, 0.1352, 0.1167, 0.1005, 0.1199, 0.0969, 0.1617, 0.1587, 0.1698, 0.2063, 0.2132, 0.2298, 0.1982, 0.1944, 0.1706, 0.1215, 0.102, 0.1028, 0.0892, 0.0848, 0.0896, 0.0909, 0.1121, 0.134, 0.135, 0.14, 0.0954, 0.1359, 0.1327, 0.1361, 0.1358, 0.1199, 0.1364, 0.1488, 0.1238, 0.1023, 0.0765, 0.0776, 0.0408, 0.0419, 0.0249, 0.0224, 0.059, 0.0256, -0.0441, -0.0223, -0.0328, -0.0224, -0.0277, -0.0322, -0.0322]}
{"unit_id": "quote:877507504716042240", "ticker_idx": 1, "ts": "2017-06-21T12:44:27+00:00", "symbol": "NVDA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "#ARM, now part of #SoftBank, and $NVDA have stolen the march from $INTC", "tweet_type": "analysis", "timeline": "unspecified", "summary": "ARM and NVDA are displacing INTC in the post-ARM world; warns index-fund holders of INTC exposure.", "resolved_tickers": ["NVDA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SMH", "bench_c_reason": "industry='Semiconductors'", "bench_c_industry": "Semiconductors", "unit_kind": "quote", "lang": "en", "tweet_text": "#ARM, now part of #SoftBank, and $NVDA have stolen the march from $INTC.  Index funds beware! https://t.co/v9HDTQRXLy", "reply_text": null, "parent_text": null, "quoted_text": "Intel axes its x86 IoT chips. The Intel model is simply anachronistic in the post ARM world. https://t.co/ZTjEDovVpt", "parent_author": null, "ret_m1d": -0.014924286466927561, "ret_signed_m1d": -0.014924286466927561, "alpha_spy_m1d": -0.015171153685879957, "alpha_c_m1d": -0.0035845669029368477, "bench_spy_m1d": 0.0002468672189523957, "bench_c_m1d": -0.011339719563990713, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.006897860899922503, "ret_signed_p1d": -0.006897860899922503, "alpha_spy_p1d": -0.0064449226214122746, "alpha_c_p1d": -0.004325918680967988, "bench_spy_p1d": -0.0004529382785102287, "bench_c_p1d": -0.002571942218954515, "ret_p1w": -0.04841028777066447, "ret_signed_p1w": -0.04841028777066447, "alpha_spy_p1w": -0.05063310183351866, "alpha_c_p1w": -0.03157606591406037, "bench_spy_p1w": 0.0022228140628541837, "bench_c_p1w": -0.016834221856604104, "ret_p1m": 0.05035438456943431, "ret_signed_p1m": 0.05035438456943431, "alpha_spy_p1m": 0.03327261457832509, "alpha_c_p1m": 0.02206350578123173, "bench_spy_p1m": 0.01708176999110922, "bench_c_p1m": 0.028290878788202578, "ret_p3m": 0.17711850886031089, "ret_signed_p3m": 0.17711850886031089, "alpha_spy_p3m": 0.14415160816832584, "alpha_c_p3m": 0.09738965980955294, "bench_spy_p3m": 0.032966900691985046, "bench_c_p3m": 0.07972884905075794, "ret_p6m": 0.17115344615022687, "ret_signed_p6m": 0.17115344615022687, "alpha_spy_p6m": 0.07225072588970805, "alpha_c_p6m": 0.029582211965665905, "bench_spy_p6m": 0.09890272026051883, "bench_c_p6m": 0.14157123418456097, "price_path": [-0.3268, -0.3219, -0.3254, -0.3276, -0.3147, -0.3176, -0.3211, -0.3687, -0.3734, -0.3688, -0.3715, -0.3876, -0.3854, -0.3904, -0.4018, -0.4018, -0.3784, -0.378, -0.3756, -0.3657, -0.3631, -0.3551, -0.3439, -0.3484, -0.3383, -0.3466, -0.332, -0.3518, -0.347, -0.3495, -0.3494, -0.3562, -0.3552, -0.2402, -0.2076, -0.1989, -0.1587, -0.143, -0.1999, -0.1664, -0.1472, -0.129, -0.1407, -0.1311, -0.133, -0.1106, -0.1106, -0.0916, -0.0948, -0.0948, -0.0993, -0.0719, -0.0761, -0.0649, 0.0029, -0.0619, -0.0596, -0.0506, -0.0486, -0.0445, -0.0492, -0.0135, -0.0149, 0.0, -0.0069, -0.0354, -0.0459, -0.0808, -0.0484, -0.0802, -0.0935, -0.1263, -0.1263, -0.103, -0.1003, -0.0797, -0.0362, -0.0225, 0.0191, 0.0073, 0.0344, 0.03, 0.0407, 0.0353, 0.0504, 0.0541, 0.0419, 0.0369, 0.0488, 0.0142, 0.0309, 0.0191, 0.0315, 0.0309, 0.044, 0.0485, 0.0808, 0.0679, 0.0793, 0.033, -0.022, 0.056, 0.0471, 0.0356, 0.0125, 0.0127, -0.002, 0.0202, 0.0406, 0.0368, 0.0281, 0.0354, 0.0337, 0.0399, 0.0635, 0.0699, 0.0699, 0.0413, 0.0407, 0.0455, 0.0274, 0.0607, 0.0645, 0.0693, 0.0632, 0.1304, 0.1771, 0.1759, 0.1664, 0.1345, 0.1235, 0.0732, 0.0793, 0.1029, 0.1026, 0.122, 0.1235, 0.1258, 0.1352, 0.1346, 0.1379, 0.1636, 0.1858, 0.1984, 0.199, 0.2213, 0.2423, 0.2411, 0.2401, 0.2415, 0.2358, 0.234, 0.247, 0.2155, 0.2282, 0.2669, 0.2794, 0.298, 0.3004, 0.2925, 0.3098, 0.3157, 0.3308, 0.3127, 0.2886, 0.3566, 0.3345, 0.3443, 0.3179, 0.3281, 0.3266, 0.3436, 0.356, 0.3499, 0.3499, 0.3627, 0.3449, 0.3234, 0.2336, 0.2606, 0.2416, 0.1723, 0.1791, 0.1887, 0.2058, 0.2027, 0.2226, 0.1986, 0.1693, 0.1712]}
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{"unit_id": "thread:1026921056588709898", "ticker_idx": 0, "ts": "2018-08-07T20:00:33+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "if it delivers on its goal of fully autonomous driving, $TSLA will be worth more than 10X $420 in the next five years", "tweet_type": "analysis", "timeline": "years", "summary": "Relays ARK research projecting TSLA >10x $420 on full autonomy; also cites Musk's $1T (15x) potential within 10 years — author adopts bullish thesis.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "self_thread", "lang": "en", "tweet_text": "Based on @ARKInvest's research, if it delivers on its goal of fully autonomous driving, $TSLA will be worth more than 10X $420 in the next five years. https://t.co/dFsPb4Jdg6\n\n---\n\nThis past January in the NYT, @elonmusk said he sees the potential for $TSLA to be a $1 trillion company - or 15X its current market cap - within a 10 year period.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.09900675612064969, "ret_signed_m1d": -0.09900675612064969, "alpha_spy_m1d": -0.09571480125745002, "alpha_c_m1d": -0.09441039383175853, "bench_spy_m1d": -0.0032919548631996642, "bench_c_m1d": -0.004596362288891154, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.024316999264261008, "ret_signed_p1d": -0.024316999264261008, "alpha_spy_p1d": -0.023896671584434315, "alpha_c_p1d": -0.025377698254005154, "bench_spy_p1d": -0.00042032767982669306, "bench_c_p1d": 0.0010606989897441466, "ret_p1w": -0.0841214770587897, "ret_signed_p1w": -0.0841214770587897, "alpha_spy_p1w": -0.07823833417308101, "alpha_c_p1w": -0.08509382076649974, "bench_spy_p1w": -0.005883142885708681, "bench_c_p1w": 0.0009723437077100439, "ret_p1m": -0.26037359199748733, "ret_signed_p1m": -0.26037359199748733, "alpha_spy_p1m": -0.2724540250066273, "alpha_c_p1m": -0.28494703273367195, "bench_spy_p1m": 0.012080433009139968, "bench_c_p1m": 0.024573440736184615, "ret_p3m": -0.08736201501884422, "ret_signed_p3m": -0.08736201501884422, "alpha_spy_p3m": -0.04373389191285437, "alpha_c_p3m": -0.044603285778342494, "bench_spy_p3m": -0.04362812310598985, "bench_c_p3m": -0.042758729240501725, "ret_p6m": -0.18652683329296982, "ret_signed_p6m": -0.18652683329296982, "alpha_spy_p6m": -0.13323472493763444, "alpha_c_p6m": -0.14600689766963015, "bench_spy_p6m": -0.05329210835533538, "bench_c_p6m": -0.040519935623339665, "price_path": [-0.1964, -0.2068, -0.2308, -0.2513, -0.2453, -0.2504, -0.2707, -0.2505, -0.2755, -0.2648, -0.268, -0.2654, -0.2654, -0.2524, -0.2314, -0.2499, -0.2312, -0.2182, -0.233, -0.1583, -0.1672, -0.1631, -0.1251, -0.097, -0.0917, -0.0576, -0.0564, -0.023, -0.0712, -0.0457, -0.0845, -0.121, -0.1227, -0.099, -0.0924, -0.0781, -0.0965, -0.1172, -0.181, -0.181, -0.1855, -0.1862, -0.1609, -0.1504, -0.1597, -0.1656, -0.1599, -0.183, -0.1499, -0.1468, -0.1563, -0.1739, -0.2012, -0.2164, -0.1866, -0.1921, -0.2171, -0.2355, -0.2145, -0.2074, -0.0791, -0.0827, -0.099, 0.0, -0.0243, -0.0714, -0.0634, -0.061, -0.0841, -0.1077, -0.1162, -0.1951, -0.1874, -0.1519, -0.1526, -0.1567, -0.1495, -0.1589, -0.1784, -0.1964, -0.2013, -0.2053, -0.2053, -0.2387, -0.2604, -0.2598, -0.3065, -0.2478, -0.2638, -0.2346, -0.2374, -0.2223, -0.2232, -0.2493, -0.2122, -0.214, -0.212, -0.2105, -0.207, -0.1844, -0.1898, -0.3024, -0.1814, -0.2069, -0.2233, -0.2575, -0.3099, -0.3399, -0.3076, -0.3232, -0.3355, -0.3182, -0.3161, -0.2713, -0.284, -0.3047, -0.315, -0.3125, -0.2251, -0.2399, -0.1705, -0.1282, -0.1178, -0.1309, -0.1113, -0.093, -0.0874, -0.1006, -0.1015, -0.0828, -0.0742, -0.0766, -0.1272, -0.1076, -0.0937, -0.082, -0.0665, -0.0688, -0.0845, -0.109, -0.109, -0.1416, -0.0884, -0.0939, -0.0835, -0.1012, -0.0766, -0.0555, -0.0523, -0.0523, -0.0435, -0.0569, -0.038, -0.0337, -0.0342, -0.0073, -0.0365, -0.0821, -0.1121, -0.1228, -0.1691, -0.1575, -0.2218, -0.2218, -0.1409, -0.1671, -0.1204, -0.1232, -0.1232, -0.183, -0.2087, -0.163, -0.1175, -0.1165, -0.1081, -0.0912, -0.0851, -0.119, -0.0926, -0.0883, -0.085, -0.2037, -0.2037, -0.2125, -0.2423, -0.232, -0.2174, -0.2192, -0.2163, -0.1865]}
{"unit_id": "quote:1007014827569672192", "ticker_idx": 0, "ts": "2018-06-13T21:40:18+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$TSLA already is two to three years ahead of the competition based on this variable alone", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish TSLA: two to three years ahead of competitors on cobalt-free battery technology.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "#Cobalt could have become the gating factory in battery production. According to @ARKInvest analyst, @skorusARK, $TSLA already is two to three years ahead of the competition based on this variable alone. https://t.co/qVZrrE0b5B", "reply_text": null, "parent_text": null, "quoted_text": "@korihale @Tesla @CultureBanx @Forbes We use less than 3% cobalt in our batteries &amp; will use none in next gen", "parent_author": null, "ret_m1d": -0.005829755602345887, "ret_signed_m1d": -0.005829755602345887, "alpha_spy_m1d": -0.00903115450958003, "alpha_c_m1d": -0.004299037771759551, "bench_spy_m1d": 0.003201398907234143, "bench_c_m1d": -0.0015307178305863367, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.037531198826580514, "ret_signed_p1d": 0.037531198826580514, "alpha_spy_p1d": 0.03501364028885745, "alpha_c_p1d": 0.027086592920059216, "bench_spy_p1d": 0.0025175585377230636, "bench_c_p1d": 0.010444605906521298, "ret_p1w": 0.0505830502432425, "ret_signed_p1w": 0.0505830502432425, "alpha_spy_p1w": 0.05353522097838981, "alpha_c_p1w": 0.03667186227822605, "bench_spy_p1w": -0.002952170735147308, "bench_c_p1w": 0.013911187965016447, "ret_p1m": -0.08141418748123586, "ret_signed_p1m": -0.08141418748123586, "alpha_spy_p1m": -0.09074568026482888, "alpha_c_p1m": -0.09559646168867741, "bench_spy_p1m": 0.00933149278359302, "bench_c_p1m": 0.014182274207441559, "ret_p3m": -0.17193571884137782, "ret_signed_p3m": -0.17193571884137782, "alpha_spy_p3m": -0.21280758643358577, "alpha_c_p3m": -0.21924990742560702, "bench_spy_p3m": 0.040871867592207956, "bench_c_p3m": 0.0473141885842292, "ret_p6m": 0.053019375925550616, "ret_signed_p6m": 0.053019375925550616, "alpha_spy_p6m": 0.07370556262955985, "alpha_c_p6m": 0.08814269161875243, "bench_spy_p6m": -0.020686186704009235, "bench_c_p6m": -0.03512331569320182, "price_path": [-0.068, -0.0906, -0.0993, -0.0819, -0.1035, -0.1254, -0.1178, -0.1903, -0.2523, -0.2281, -0.2281, -0.2677, -0.2241, -0.1678, -0.1133, -0.1319, -0.1599, -0.1162, -0.1272, -0.1471, -0.1289, -0.1554, -0.1656, -0.1492, -0.1296, -0.1582, -0.1781, -0.1779, -0.1859, -0.172, -0.1471, -0.1476, -0.1301, -0.1265, -0.175, -0.147, -0.1218, -0.1242, -0.11, -0.1153, -0.1268, -0.1532, -0.1758, -0.1691, -0.1747, -0.1971, -0.1749, -0.2024, -0.1906, -0.1941, -0.1912, -0.1912, -0.177, -0.1539, -0.1742, -0.1536, -0.1393, -0.1556, -0.0733, -0.0832, -0.0787, -0.0368, -0.0058, 0.0, 0.0375, 0.0388, 0.0756, 0.0225, 0.0506, 0.0079, -0.0323, -0.0341, -0.0081, -0.0008, 0.0149, -0.0053, -0.0282, -0.0984, -0.0984, -0.1033, -0.1041, -0.0762, -0.0647, -0.0749, -0.0814, -0.0751, -0.1006, -0.0641, -0.0607, -0.0712, -0.0905, -0.1206, -0.1373, -0.1045, -0.1106, -0.1381, -0.1584, -0.1353, -0.1274, 0.0138, 0.0098, -0.0081, 0.1009, 0.0741, 0.0222, 0.0311, 0.0337, 0.0083, -0.0177, -0.0271, -0.1139, -0.1054, -0.0664, -0.0671, -0.0716, -0.0637, -0.074, -0.0955, -0.1153, -0.1207, -0.1251, -0.1251, -0.1619, -0.1857, -0.1851, -0.2365, -0.1719, -0.1895, -0.1573, -0.1605, -0.1438, -0.1448, -0.1735, -0.1327, -0.1347, -0.1325, -0.1308, -0.127, -0.1021, -0.1081, -0.2321, -0.0988, -0.1269, -0.145, -0.1826, -0.2402, -0.2733, -0.2378, -0.2549, -0.2684, -0.2494, -0.2471, -0.1978, -0.2117, -0.2346, -0.2459, -0.2431, -0.1469, -0.1632, -0.0868, -0.0403, -0.0288, -0.0432, -0.0216, -0.0015, 0.0047, -0.0098, -0.0108, 0.0098, 0.0192, 0.0166, -0.0392, -0.0175, -0.0023, 0.0106, 0.0276, 0.0252, 0.0079, -0.0191, -0.0191, -0.055, 0.0035, -0.0025, 0.009, -0.0105, 0.0165, 0.0398, 0.0433, 0.0433, 0.053]}
{"unit_id": "thread:1283517272217333761", "ticker_idx": 0, "ts": "2020-07-15T21:42:18+00:00", "symbol": "oil", "kind": "commodity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "I believe that #Oilprices are on their way back to $12, the level reached after the 1973 oil cartel crisis, or lower, now that EVs are taking off", "tweet_type": "prediction", "timeline": "years", "summary": "Oil prices headed to $12 or lower as EV adoption drives secular demand decline past its peak.", "resolved_tickers": ["USO"], "resolution_method": "etf", "resolution_reason": "Oil commodity; USO is standard ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "self_thread", "lang": "en", "tweet_text": "Yes, a 10% drop in US VMT is a big deal. #Oilpricesare determined at the margin. A 1% drop in demand has a significant impact, so the impact of a 10% drop in one year is huge.\n\n---\n\n.@ARKInvest believes that the oil price peaked at more than $135 per barrel in 2008 and has been hitting “lower highs” and “lower lows” as demand “growth” has disappointed expectations for the last 12 years.\n\n---\n\nOil demand probably hit a secular peak last year and, thanks to #EVs, now is in secular “decline”. Though ARK has no formal forecast, I believe that #Oilprices are on their way back to $12, the level reached after the 1973 oil cartel crisis, or lower, now that EVs are taking off.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.013998010991641552, "ret_signed_m1d": 0.013998010991641552, "alpha_spy_m1d": 0.004894387010901835, "alpha_c_m1d": 0.004894387010901835, "bench_spy_m1d": -0.009103623980739717, "bench_c_m1d": -0.009103623980739717, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.004438411200128001, "ret_signed_p1d": 0.004438411200128001, "alpha_spy_p1d": 0.0011450035918213475, "alpha_c_p1d": 0.0011450035918213475, "bench_spy_p1d": -0.0032934076083066532, "bench_c_p1d": -0.0032934076083066532, "ret_p1w": 0.015704987029508732, "ret_signed_p1w": -0.015704987029508732, "alpha_spy_p1w": -0.00013891456057457674, "alpha_c_p1w": -0.00013891456057457674, "bench_spy_p1w": 0.015566072468934156, "bench_c_p1w": 0.015566072468934156, "ret_p1m": 0.03789684767181045, "ret_signed_p1m": -0.03789684767181045, "alpha_spy_p1m": 0.008646501835359421, "alpha_c_p1m": 0.008646501835359421, "bench_spy_p1m": 0.04654334950716987, "bench_c_p1m": 0.04654334950716987, "ret_p3m": -0.04165248148068079, "ret_signed_p3m": 0.04165248148068079, "alpha_spy_p3m": 0.1410490204295981, "alpha_c_p3m": 0.1410490204295981, "bench_spy_p3m": 0.09939653894891731, "bench_c_p3m": 0.09939653894891731, "ret_p6m": 0.17890057015982141, "ret_signed_p6m": -0.17890057015982141, "alpha_spy_p6m": 0.00873370046320665, "alpha_c_p6m": 0.00873370046320665, "bench_spy_p6m": 0.18763427062302807, "bench_c_p6m": 0.18763427062302807, "price_path": [0.1499, 0.0242, -0.2325, -0.3144, -0.2789, -0.2981, -0.4018, -0.4182, -0.3855, -0.3472, -0.3561, -0.3284, -0.2656, -0.2882, -0.3011, -0.267, -0.2772, -0.2841, -0.2967, -0.2677, -0.2356, -0.17, -0.1656, -0.1349, -0.0918, -0.127, -0.127, -0.1239, -0.1465, -0.1454, -0.1164, -0.1048, -0.0758, -0.0741, -0.0611, -0.0143, -0.0314, -0.0297, -0.0294, -0.1, -0.0976, -0.0789, -0.0563, -0.0686, -0.0478, -0.0362, -0.0106, -0.0195, -0.0696, -0.0461, -0.0659, -0.0348, -0.042, -0.0321, -0.0184, -0.0184, -0.0113, -0.0171, -0.0038, -0.03, -0.0089, -0.027, -0.014, 0.0, -0.0044, -0.0065, -0.0058, 0.0147, 0.0157, 0.0041, 0.0051, 0.0147, 0.002, 0.0096, -0.0123, -0.0075, 0.0017, 0.0167, 0.0321, 0.0304, 0.0191, 0.0297, 0.0181, 0.0434, 0.0379, 0.0355, 0.0505, 0.0447, 0.0468, 0.042, 0.0304, 0.0362, 0.0557, 0.056, 0.0471, 0.0488, 0.044, 0.0451, 0.0195, 0.0119, -0.0266, -0.0266, -0.0867, -0.0642, -0.0854, -0.0768, -0.0802, -0.0604, -0.0201, -0.002, -0.0079, -0.0341, -0.0382, -0.043, -0.027, -0.0321, -0.0205, -0.0543, -0.0341, -0.0608, -0.1004, -0.0464, -0.0307, -0.0307, -0.0051, -0.0205, -0.0417, -0.0283, -0.0106, -0.0119, -0.0195, -0.0239, -0.0082, -0.0406, -0.0266, -0.0481, -0.0744, -0.0546, -0.1017, -0.126, -0.1379, -0.1034, -0.0877, -0.0632, -0.0727, -0.0963, -0.0417, -0.013, -0.0085, -0.0215, -0.0396, -0.0164, -0.0143, -0.0099, -0.0068, -0.0007, 0.0079, 0.0516, 0.071, 0.071, 0.0659, 0.0574, 0.0454, 0.0574, 0.0669, 0.0775, 0.072, 0.0724, 0.07, 0.0963, 0.0905, 0.0983, 0.111, 0.1178, 0.1321, 0.1431, 0.1144, 0.0956, 0.1181, 0.1239, 0.1239, 0.1127, 0.1192, 0.1236, 0.127, 0.127, 0.1055, 0.1588, 0.1646, 0.1789]}
{"unit_id": "quote:884598418223628288", "ticker_idx": 0, "ts": "2017-07-11T02:21:12+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "This test of #cryptoassets is healthy...a purge of the weak holders. The strongest bull markets climb a \"wall of worry\".", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish crypto/Bitcoin; views selloff as healthy purge in an ongoing bull market.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "This test of #cryptoassets is healthy...a purge of the weak holders.  The strongest bull markets climb a \"wall of worry\". https://t.co/pSJMY1bONU", "reply_text": null, "parent_text": null, "quoted_text": "Collectively, the cryptocurrency sector lost $13 billion in market cap today. Bitcoin was responsible for $4 billion of that. https://t.co/e93ODedAHc", "parent_author": null, "ret_m1d": 0.014873029207188138, "ret_signed_m1d": 0.014873029207188138, "alpha_spy_m1d": 0.014129886574270945, "alpha_c_m1d": null, "bench_spy_m1d": 0.0007431426329171931, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.026114427646636518, "ret_signed_p1d": 0.026114427646636518, "alpha_spy_p1d": 0.018599489959124638, "alpha_c_p1d": null, "bench_spy_p1d": 0.00751493768751188, "bench_c_p1d": null, "ret_p1w": -0.008088902738923154, "ret_signed_p1w": -0.008088902738923154, "alpha_spy_p1w": -0.022416415053413963, "alpha_c_p1w": null, "bench_spy_p1w": 0.014327512314490809, "bench_c_p1w": null, "ret_p1m": 0.4297562718863843, "ret_signed_p1m": 0.4297562718863843, "alpha_spy_p1m": 0.40886339302644226, "alpha_c_p1m": null, "bench_spy_p1m": 0.020892878859942066, "bench_c_p1m": null, "ret_p3m": 0.8696332799615021, "ret_signed_p3m": 0.8696332799615021, "alpha_spy_p3m": 0.8141298959077321, "alpha_c_p3m": null, "bench_spy_p3m": 0.05550338405376998, "bench_c_p3m": null, "ret_p6m": 5.502294793802741, "ret_signed_p6m": 5.502294793802741, "alpha_spy_p6m": 5.3742480210793, "alpha_c_p6m": null, "bench_spy_p6m": 0.12804677272344067, "bench_c_p6m": null, "price_path": [-0.4998, -0.5006, -0.4893, -0.4817, -0.4823, -0.4743, -0.4773, -0.4652, -0.4587, -0.452, -0.4363, -0.4369, -0.3919, -0.3785, -0.3626, -0.3423, -0.3346, -0.2628, -0.2491, -0.2355, -0.2093, -0.2624, -0.2564, -0.2581, -0.2133, -0.1921, -0.1497, -0.0703, -0.0074, 0.0453, -0.014, -0.0579, -0.0352, -0.0694, -0.022, 0.03, 0.0645, 0.1493, 0.2247, 0.1687, 0.2001, 0.2079, 0.1377, 0.1622, 0.0721, 0.0542, 0.0773, 0.1077, 0.1643, 0.1503, 0.1573, 0.1741, 0.0602, 0.0918, 0.1014, 0.0862, 0.0612, 0.0968, 0.1129, 0.113, 0.1158, 0.0774, 0.0149, 0.0, 0.0261, 0.0086, -0.0447, -0.0468, -0.0081, -0.0275, 0.2052, 0.1411, 0.1784, 0.1021, 0.082, 0.1429, 0.2016, 0.2299, 0.1627, 0.1595, 0.1997, 0.2387, 0.4454, 0.4629, 0.4298, 0.4464, 0.5616, 0.8501, 0.7888, 0.8721, 0.8529, 0.7797, 0.7118, 0.754, 0.7758, 0.8542, 0.87, 0.8747, 0.9587, 0.9528, 1.0119, 1.0926, 0.8121, 0.8721, 0.9664, 0.9676, 0.8089, 0.78, 0.767, 0.6608, 0.3495, 0.556, 0.7389, 0.6789, 0.6708, 0.5532, 0.553, 0.6794, 0.665, 0.7969, 0.7858, 0.7808, 0.8861, 0.8468, 0.8091, 0.8515, 0.8696, 1.0413, 1.0455, 1.0645, 1.3299, 1.4156, 1.4491, 1.3978, 1.3914, 1.4418, 1.5714, 1.5367, 1.364, 1.4599, 1.5258, 1.4728, 1.6224, 1.7669, 1.8947, 2.0279, 2.0832, 2.004, 2.056, 2.1909, 2.0557, 1.8309, 1.8059, 1.8385, 2.1293, 2.3672, 2.2976, 2.5079, 2.4525, 2.5305, 2.4386, 2.5306, 3.1998, 3.3027, 3.2299, 3.3775, 3.6949, 3.9864, 4.0974, 5.1133, 6.6567, 6.0876, 6.2448, 6.4495, 6.0187, 6.0853, 6.5742, 7.1762, 6.6041, 6.1112, 5.7598, 4.9166, 4.9999, 5.8868, 5.775, 5.248, 5.2693, 4.8419, 5.4087, 5.5023]}
{"unit_id": "quote:827188079731548161", "ticker_idx": 0, "ts": "2017-02-02T16:13:01+00:00", "symbol": "AMZN", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Amazon's next leg of business: Logistics-as-a-Service", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish AMZN: air cargo hub signals a new Logistics-as-a-Service growth leg.", "resolved_tickers": ["AMZN"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Internet Retail'", "bench_c_industry": "Internet Retail", "unit_kind": "quote", "lang": "en", "tweet_text": "#Amazon's next leg of business: #Logistics-as-a-Service. https://t.co/AMiB2TJnU7", "reply_text": null, "parent_text": null, "quoted_text": "Amazon is opening its first air cargo hub $AMZN https://t.co/7fo970qWzO https://t.co/De5RI8IA8i", "parent_author": null, "ret_m1d": -0.009048182765389545, "ret_signed_m1d": -0.009048182765389545, "alpha_spy_m1d": -0.008389808025315637, "alpha_c_m1d": -0.009875576766041338, "bench_spy_m1d": -0.0006583747400739082, "bench_c_m1d": 0.0008273940006517932, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.03541884643413129, "ret_signed_p1d": -0.03541884643413129, "alpha_spy_p1d": -0.04231187865678343, "alpha_c_p1d": -0.034118613476138426, "bench_spy_p1d": 0.00689303222265214, "bench_c_p1d": -0.001300232957992864, "ret_p1w": -0.022132282860644503, "ret_signed_p1w": -0.022132282860644503, "alpha_spy_p1w": -0.03455744753386214, "alpha_c_p1w": -0.029342557737230157, "bench_spy_p1w": 0.012425164673217637, "bench_c_p1w": 0.007210274876585654, "ret_p1m": 0.011822086830763467, "ret_signed_p1m": 0.011822086830763467, "alpha_spy_p1m": -0.03493578807989817, "alpha_c_p1m": -0.016546767115800165, "bench_spy_p1m": 0.046757874910661634, "bench_c_p1m": 0.028368853946563632, "ret_p3m": 0.12737659560340875, "ret_signed_p3m": 0.12737659560340875, "alpha_spy_p3m": 0.07452155761669932, "alpha_c_p3m": 0.05704484186141889, "bench_spy_p3m": 0.05285503798670943, "bench_c_p3m": 0.07033175374198986, "ret_p6m": 0.2144055535123508, "ret_signed_p6m": 0.2144055535123508, "alpha_spy_p6m": 0.12034781812126738, "alpha_c_p6m": 0.12760948991397814, "bench_spy_p6m": 0.09405773539108342, "bench_c_p6m": 0.08679606359837266, "price_path": [-0.0655, -0.0621, -0.081, -0.1162, -0.1202, -0.1439, -0.1151, -0.1113, -0.0995, -0.095, -0.0714, -0.065, -0.0712, -0.0712, -0.0709, -0.0871, -0.0922, -0.1064, -0.1146, -0.1186, -0.0959, -0.0896, -0.0828, -0.0865, -0.0849, -0.095, -0.0781, -0.0847, -0.094, -0.0978, -0.088, -0.0818, -0.0826, -0.0876, -0.0945, -0.0945, -0.0816, -0.0807, -0.0891, -0.1072, -0.1072, -0.1027, -0.0985, -0.0708, -0.0523, -0.0512, -0.0524, -0.0487, -0.0313, -0.0272, -0.0272, -0.036, -0.0387, -0.0368, -0.0376, -0.0263, -0.0208, -0.0041, -0.001, -0.005, -0.0114, -0.0196, -0.009, 0.0, -0.0354, -0.0385, -0.0327, -0.0241, -0.0221, -0.0149, -0.0041, -0.0042, 0.0033, 0.005, 0.0061, 0.0061, 0.0196, 0.0186, 0.0146, 0.0063, 0.0103, 0.0061, 0.0156, 0.0107, 0.0118, 0.0079, 0.0072, 0.0126, 0.0155, 0.0149, 0.0174, 0.015, 0.0155, 0.016, 0.0147, 0.0203, 0.0039, 0.0097, 0.0088, 0.0067, 0.0082, 0.0191, 0.0409, 0.0433, 0.0555, 0.0614, 0.0796, 0.0825, 0.0694, 0.0654, 0.0799, 0.0743, 0.067, 0.0532, 0.0532, 0.0739, 0.076, 0.0705, 0.0739, 0.0697, 0.0803, 0.0806, 0.0826, 0.0934, 0.1012, 0.1289, 0.1274, 0.1203, 0.1162, 0.1121, 0.1299, 0.1344, 0.1298, 0.1282, 0.1445, 0.1405, 0.1502, 0.1248, 0.1411, 0.1427, 0.1556, 0.1567, 0.1672, 0.1827, 0.1855, 0.1855, 0.1866, 0.1841, 0.1857, 0.1986, 0.204, 0.1941, 0.2025, 0.2028, 0.1647, 0.1488, 0.1677, 0.1625, 0.1479, 0.1759, 0.1848, 0.1817, 0.1932, 0.1921, 0.195, 0.1834, 0.1629, 0.179, 0.1619, 0.1524, 0.1354, 0.1354, 0.1565, 0.149, 0.1653, 0.1863, 0.1836, 0.1983, 0.1913, 0.1927, 0.2025, 0.2197, 0.2225, 0.2247, 0.2211, 0.2369, 0.238, 0.2534, 0.2453, 0.2144]}
{"unit_id": "quote:890602725271982082", "ticker_idx": 0, "ts": "2017-07-27T16:00:10+00:00", "symbol": "cryptoassets", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "the ferocity of the secular uptrend will now haunt him", "tweet_type": "prediction", "timeline": "years", "summary": "Bullish crypto secular uptrend; ARK endorses cryptoassets as a new asset class with a durable long-term bull thesis.", "resolved_tickers": ["BTC-USD", "ETH-USD"], "resolution_method": "basket", "resolution_reason": "Broad cryptoassets basket; BTC and ETH as proxies", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Based on the #SEC's pronouncement, Howard is behind way the times.  @ARKInvest agrees with @cburniske: #cryptoassets are a new asset class! https://t.co/Qp1wLPVmqt", "reply_text": null, "parent_text": null, "quoted_text": "6/ Howard will have moments of vindication when #cryptoassets correct &gt; 50%, but the ferocity of the secular uptrend will now haunt him", "parent_author": null, "ret_m1d": -0.05327163036039928, "ret_signed_m1d": -0.05327163036039928, "alpha_spy_m1d": -0.05420202733048152, "alpha_c_m1d": null, "bench_spy_m1d": 0.0009303969700822368, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.05136275403063939, "ret_signed_p1d": 0.05136275403063939, "alpha_spy_p1d": 0.05253591561290927, "alpha_c_p1d": null, "bench_spy_p1d": -0.001173161582269877, "bench_c_p1d": null, "ret_p1w": 0.049760814780422935, "ret_signed_p1w": 0.049760814780422935, "alpha_spy_p1w": 0.05073180239036035, "alpha_c_p1w": null, "bench_spy_p1w": -0.0009709876099374126, "bench_c_p1w": null, "ret_p1m": 0.6362125810210177, "ret_signed_p1m": 0.6362125810210177, "alpha_spy_p1m": 0.6468922404705081, "alpha_c_p1m": null, "bench_spy_p1m": -0.010679659449490342, "bench_c_p1m": null, "ret_p3m": 1.0685236344749462, "ret_signed_p3m": 1.0685236344749462, "alpha_spy_p3m": 1.0255088195997872, "alpha_c_p3m": null, "bench_spy_p3m": 0.04301481487515901, "bench_c_p3m": null, "ret_p6m": 3.3444446261841723, "ret_signed_p6m": 3.3444446261841723, "alpha_spy_p6m": 3.198643827051523, "alpha_c_p6m": null, "bench_spy_p6m": 0.14580079913264954, "bench_c_p6m": null, "price_path": [-0.4679, -0.4562, -0.4423, -0.4245, -0.4178, -0.355, -0.343, -0.3311, -0.3081, -0.3546, -0.3493, -0.3508, -0.3117, -0.2931, -0.256, -0.1865, -0.1315, -0.0854, -0.1373, -0.1757, -0.1558, -0.1858, -0.1442, -0.0988, -0.0686, 0.0056, 0.0716, 0.0226, 0.0501, 0.0569, -0.0045, 0.0169, -0.0619, -0.0776, -0.0573, -0.0308, 0.0187, 0.0065, 0.0126, 0.0274, -0.0724, -0.0447, -0.0363, -0.0496, -0.0715, -0.0403, -0.0263, -0.0261, -0.0237, -0.0573, -0.112, -0.125, -0.1022, -0.1175, -0.1641, -0.1659, -0.1321, -0.1491, 0.0546, -0.0015, 0.0311, -0.0357, -0.0533, 0.0, 0.0514, 0.0762, 0.0174, 0.0146, 0.0498, 0.0839, 0.2647, 0.28, 0.251, 0.2656, 0.3664, 0.6188, 0.5652, 0.6381, 0.6213, 0.5572, 0.4978, 0.5348, 0.5538, 0.6224, 0.6362, 0.6404, 0.7138, 0.7087, 0.7604, 0.831, 0.5856, 0.6381, 0.7206, 0.7217, 0.5827, 0.5575, 0.5461, 0.4532, 0.1808, 0.3615, 0.5215, 0.469, 0.4619, 0.359, 0.3589, 0.4695, 0.4568, 0.5722, 0.5625, 0.5582, 0.6503, 0.616, 0.583, 0.62, 0.6359, 0.7861, 0.7898, 0.8065, 1.0387, 1.1137, 1.143, 1.098, 1.0925, 1.1366, 1.25, 1.2196, 1.0685, 1.1524, 1.2101, 1.1637, 1.2945, 1.421, 1.5329, 1.6494, 1.6977, 1.6285, 1.674, 1.792, 1.6737, 1.4771, 1.4551, 1.4836, 1.7381, 1.9462, 1.8853, 2.0694, 2.0209, 2.0892, 2.0088, 2.0892, 2.6748, 2.7648, 2.7011, 2.8303, 3.108, 3.3631, 3.4602, 4.3491, 5.6995, 5.2016, 5.3391, 5.5183, 5.1413, 5.1996, 5.6274, 6.1541, 5.6535, 5.2223, 4.9147, 4.177, 4.2499, 5.0259, 4.9281, 4.467, 4.4856, 4.1116, 4.6075, 4.6895, 4.8385, 5.5236, 4.6779, 4.4628, 4.6042, 4.0176, 4.2327, 4.1725, 3.3007, 3.1877, 3.2949, 3.3444]}
{"unit_id": "quote:1985762139022196897", "ticker_idx": 0, "ts": "2025-11-04T17:32:42+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "If @BrianRoemmele thinks #Tesla's A15 chip will be a big deal, then it will be a big deal.", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Endorses Tesla AI5 chip as a big deal, implying bullish stance on TSLA.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "If @BrianRoemmele thinks #Tesla’s A15 chip will be a big deal, then it will be a big deal.", "reply_text": null, "parent_text": null, "quoted_text": "The new Tesla AI5 chip \n\nIn-house design\n40× faster\n8× compute\n9× memory\n5× bandwidth\nCode paths shrunk to ~5\n10× cheaper per inference than Nvidia\n3× more efficient per watt\n\nBuilt by Samsung with lithography by TSMC all performed in Texas and Arizona.\n\nProduction 2026.\n\nIt is a https://t.co/KTf6jvPnr5", "parent_author": null, "ret_m1d": 0.05426998789353554, "ret_signed_m1d": 0.05426998789353554, "alpha_spy_m1d": 0.04227425606471624, "alpha_c_m1d": 0.03739061207652239, "bench_spy_m1d": 0.0119957318288193, "bench_c_m1d": 0.016879375817013154, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.040089130615176494, "ret_signed_p1d": 0.040089130615176494, "alpha_spy_p1d": 0.036623741418180256, "alpha_c_p1d": 0.027912393182401463, "bench_spy_p1d": 0.003465389196996238, "bench_c_p1d": 0.012176737432775031, "ret_p1w": -0.010444367141857702, "ret_signed_p1w": -0.010444367141857702, "alpha_spy_p1w": -0.021936485315438237, "alpha_c_p1w": -0.01628080535594223, "bench_spy_p1w": 0.011492118173580534, "bench_c_p1w": 0.005836438214084527, "ret_p1m": 0.005582272575148872, "ret_signed_p1m": 0.005582272575148872, "alpha_spy_p1m": -0.007227967981277006, "alpha_c_p1m": 0.00209718571589268, "bench_spy_p1m": 0.012810240556425878, "bench_c_p1m": 0.0034850868592561923, "ret_p3m": -0.031175450860009613, "ret_signed_p3m": -0.031175450860009613, "alpha_spy_p3m": -0.05897983349875602, "alpha_c_p3m": -0.05074324322579182, "bench_spy_p3m": 0.027804382638746405, "bench_c_p3m": 0.01956779236578221, "ret_p6m": -0.16085179940088667, "ret_signed_p6m": -0.16085179940088667, "alpha_spy_p6m": -0.22067010213923588, "alpha_c_p6m": -0.14596033632309813, "bench_spy_p6m": 0.059818302738349205, "bench_c_p6m": -0.014891463077788547, "price_path": [-0.2746, -0.258, -0.2369, -0.2328, -0.2361, -0.2446, -0.2559, -0.2456, -0.2587, -0.2709, -0.2795, -0.2347, -0.2198, -0.2084, -0.2131, -0.2212, -0.2485, -0.2485, -0.2586, -0.248, -0.238, -0.2103, -0.2203, -0.219, -0.2171, -0.1698, -0.1088, -0.077, -0.051, -0.0414, -0.0617, -0.0409, -0.0226, -0.0414, -0.0033, -0.047, -0.0087, -0.0024, 0.001, 0.0342, -0.0186, -0.0325, 0.0202, -0.0251, -0.0125, -0.0196, -0.0693, -0.0188, -0.0338, -0.0205, -0.0349, -0.0111, 0.0071, -0.0037, -0.0119, 0.0106, -0.0237, 0.0184, 0.0367, 0.0388, -0.0094, 0.0277, 0.0543, 0.0, 0.0401, 0.0037, -0.0332, 0.0022, -0.0104, -0.0307, -0.0951, -0.0898, -0.0795, -0.0968, -0.0906, -0.1104, -0.1197, -0.0596, -0.056, -0.0398, -0.0398, -0.0317, -0.0318, -0.0338, 0.0056, 0.0231, 0.0242, -0.0105, 0.002, 0.0162, 0.0059, 0.0331, 0.0699, 0.1027, 0.0518, 0.088, 0.0831, 0.1001, 0.093, 0.0926, 0.0926, 0.0696, 0.0346, 0.0229, 0.0123, 0.0123, -0.0139, 0.0167, -0.0254, -0.0289, -0.019, 0.0017, 0.0106, 0.0066, -0.0114, -0.0128, -0.0152, -0.0152, -0.0563, -0.0289, 0.0115, 0.0108, -0.0204, -0.0301, -0.0288, -0.0624, -0.0312, -0.0505, -0.0502, -0.0861, -0.1059, -0.0746, -0.0606, -0.0429, -0.036, -0.0612, -0.0604, -0.0604, -0.0757, -0.0741, -0.0733, -0.073, -0.1, -0.0785, -0.0605, -0.0803, -0.094, -0.0922, -0.1167, -0.0863, -0.0871, -0.107, -0.1026, -0.1013, -0.082, -0.1109, -0.1194, -0.1096, -0.1013, -0.1159, -0.144, -0.1717, -0.1427, -0.1378, -0.1313, -0.1624, -0.1855, -0.2003, -0.1632, -0.1418, -0.1883, -0.1883, -0.2058, -0.2197, -0.2274, -0.222, -0.2145, -0.2067, -0.1802, -0.1177, -0.1246, -0.0982, -0.1165, -0.1302, -0.1277, -0.1588, -0.153, -0.1476, -0.1536, -0.1609]}
{"unit_id": "thread:1443766602625921025", "ticker_idx": 0, "ts": "2021-10-01T02:35:56+00:00", "symbol": "oil", "kind": "commodity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "If @ARKInvest's research is correct, oil prices will suffer the same fate as whale oil prices", "tweet_type": "prediction", "timeline": "years", "summary": "ARK believes oil demand has peaked; long-term oil prices will collapse like whale oil as EVs displace demand.", "resolved_tickers": ["USO"], "resolution_method": "etf", "resolution_reason": "Oil commodity; USO is standard ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "self_thread", "lang": "en", "tweet_text": "According to the EIA, global oil demand peaked at 101 million barrels per day (mbd) in 2019, dropped to 92 mbd during the coronavirus crisis in 2020, and has rebounded to 97 mbd in 2021. Based on our forecast for EV sales, @ARKInvest believes that oil demand has peaked.\n\n---\n\nThat said, based on ESG mandates, pension funds are demanding that oil companies cut back on capital spending while US banks, in response to the collapse in oil prices last year, are denying fracking companies of loans for capital spending, and OPEC is holding the line on supply.\n\n---\n\nThe rise in oil prices this year is a function more of supply than demand. At the turn of the 20th century, whale oil faced the same fate and whale oil prices fluctuated dramatically. If @ARKInvest’s research is correct, oil prices will suffer the same fate as whale oil prices.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.013143014838571165, "ret_signed_m1d": 0.013143014838571165, "alpha_spy_m1d": 0.0013983993697637143, "alpha_c_m1d": 0.0013983993697637143, "bench_spy_m1d": -0.011744615468807451, "bench_c_m1d": -0.011744615468807451, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.02309431835705289, "ret_signed_p1d": -0.02309431835705289, "alpha_spy_p1d": -0.03599039896469636, "alpha_c_p1d": -0.03599039896469636, "bench_spy_p1d": -0.012896080607643468, "bench_c_p1d": -0.012896080607643468, "ret_p1w": 0.04149461075511174, "ret_signed_p1w": -0.04149461075511174, "alpha_spy_p1w": -0.033158188556610346, "alpha_c_p1w": -0.033158188556610346, "bench_spy_p1w": 0.008336422198501392, "bench_c_p1w": 0.008336422198501392, "ret_p1m": 0.08017274863557966, "ret_signed_p1m": -0.08017274863557966, "alpha_spy_p1m": -0.020758582878128262, "alpha_c_p1m": -0.020758582878128262, "bench_spy_p1m": 0.0594141657574514, "bench_c_p1m": 0.0594141657574514, "ret_p3m": 0.034172053452462325, "ret_signed_p3m": -0.034172053452462325, "alpha_spy_p3m": 0.06926730010026594, "alpha_c_p3m": 0.06926730010026594, "bench_spy_p3m": 0.10343935355272826, "bench_c_p3m": 0.10343935355272826, "ret_p6m": 0.3993616434111702, "ret_signed_p6m": -0.3993616434111702, "alpha_spy_p6m": -0.3424965950955374, "alpha_c_p6m": -0.3424965950955374, "bench_spy_p6m": 0.05686504831563277, "bench_c_p6m": 0.05686504831563277, "price_path": [-0.0631, -0.0864, -0.0702, -0.0535, -0.0554, -0.0396, -0.0668, -0.0792, -0.0774, -0.1393, -0.1267, -0.0937, -0.0768, -0.0712, -0.0674, -0.0712, -0.0665, -0.0492, -0.0488, -0.0766, -0.0828, -0.1138, -0.0969, -0.1068, -0.125, -0.1048, -0.0931, -0.0969, -0.1095, -0.1168, -0.1254, -0.1476, -0.1594, -0.1846, -0.1391, -0.1106, -0.1023, -0.1085, -0.0959, -0.0913, -0.098, -0.1001, -0.0809, -0.0864, -0.0864, -0.098, -0.0877, -0.1035, -0.0837, -0.071, -0.0742, -0.0483, -0.0481, -0.0552, -0.0687, -0.0691, -0.0522, -0.0353, -0.027, -0.0066, -0.0161, -0.0176, -0.0131, 0.0, 0.0231, 0.0445, 0.0169, 0.0394, 0.0415, 0.0548, 0.0535, 0.0544, 0.0667, 0.073, 0.0695, 0.0781, 0.0913, 0.0779, 0.0896, 0.0858, 0.0974, 0.0683, 0.0777, 0.073, 0.0802, 0.0802, 0.0391, 0.0312, 0.0618, 0.0719, 0.0884, 0.0575, 0.0556, 0.0511, 0.0528, 0.0552, 0.0327, 0.043, 0.0098, 0.0223, 0.0552, 0.0492, 0.0492, -0.0682, -0.058, -0.1005, -0.1168, -0.0933, -0.0988, -0.0516, -0.0314, -0.0158, -0.0421, -0.0231, -0.0342, -0.0439, -0.0308, -0.0261, -0.0466, -0.0631, -0.0317, -0.0146, -0.0024, -0.0024, 0.0237, 0.0265, 0.0342, 0.0345, 0.0207, 0.0295, 0.0437, 0.0407, 0.0682, 0.064, 0.0544, 0.092, 0.1061, 0.0941, 0.126, 0.126, 0.1448, 0.1463, 0.1389, 0.1412, 0.1286, 0.1448, 0.1581, 0.1615, 0.1635, 0.1731, 0.1741, 0.1739, 0.1925, 0.2187, 0.2144, 0.1945, 0.2048, 0.2009, 0.2343, 0.246, 0.2069, 0.193, 0.2048, 0.2155, 0.2155, 0.2306, 0.2437, 0.2456, 0.2354, 0.267, 0.3485, 0.4161, 0.3994, 0.4919, 0.5466, 0.604, 0.417, 0.3905, 0.4345, 0.3676, 0.2886, 0.282, 0.3834, 0.4014, 0.4934, 0.475, 0.5387, 0.4974, 0.516, 0.3994]}
{"unit_id": "quote:896740143624794112", "ticker_idx": 0, "ts": "2017-08-13T14:28:05+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "On this log chart, #bitcoin looks like it's just getting going again!", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish Bitcoin; log chart suggests the current move is just beginning.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "On this log chart, #bitcoin looks like it's just getting going again! https://t.co/O6guFkRCWC", "reply_text": null, "parent_text": null, "quoted_text": "Bitcoin: $10,000 invested 7 years ago is worth over $430 million today. $BTCUSD https://t.co/XL4MXrfHL4", "parent_author": null, "ret_m1d": -0.15595133184448717, "ret_signed_m1d": -0.15595133184448717, "alpha_spy_m1d": -0.1461354823685742, "alpha_c_m1d": null, "bench_spy_m1d": -0.009815849475912963, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.033108764571511906, "ret_signed_p1d": -0.033108764571511906, "alpha_spy_p1d": -0.032987021785890636, "alpha_c_p1d": null, "bench_spy_p1d": -0.0001217427856212705, "bench_c_p1d": null, "ret_p1w": -0.07476998410226576, "ret_signed_p1w": -0.07476998410226576, "alpha_spy_p1w": -0.06000572366447332, "alpha_c_p1w": null, "bench_spy_p1w": -0.014764260437792442, "bench_c_p1w": null, "ret_p1m": -0.044928089903369495, "ret_signed_p1m": -0.044928089903369495, "alpha_spy_p1m": -0.059165532230921025, "alpha_c_p1m": null, "bench_spy_p1m": 0.01423744232755153, "bench_c_p1m": null, "ret_p3m": 0.6516452156761008, "ret_signed_p3m": 0.6516452156761008, "alpha_spy_p3m": 0.5992752196046851, "alpha_c_p3m": null, "bench_spy_p3m": 0.05236999607141568, "bench_c_p3m": null, "ret_p6m": 0.7927785315334415, "ret_signed_p6m": 0.7927785315334415, "alpha_spy_p6m": 0.69012528460576, "alpha_c_p6m": null, "bench_spy_p6m": 0.10265324692768152, "bench_c_p6m": null, "price_path": [-0.5748, -0.5633, -0.5404, -0.4975, -0.4635, -0.435, -0.4671, -0.4908, -0.4785, -0.497, -0.4714, -0.4433, -0.4246, -0.3788, -0.338, -0.3683, -0.3513, -0.3471, -0.3851, -0.3718, -0.4205, -0.4302, -0.4177, -0.4013, -0.3707, -0.3783, -0.3745, -0.3654, -0.427, -0.4099, -0.4047, -0.4129, -0.4264, -0.4072, -0.3985, -0.3984, -0.3969, -0.4177, -0.4514, -0.4595, -0.4454, -0.4548, -0.4836, -0.4848, -0.4639, -0.4744, -0.3486, -0.3832, -0.3631, -0.4043, -0.4152, -0.3823, -0.3505, -0.3352, -0.3715, -0.3733, -0.3515, -0.3305, -0.2188, -0.2093, -0.2272, -0.2182, -0.156, 0.0, -0.0331, 0.0119, 0.0015, -0.038, -0.0748, -0.0519, -0.0401, 0.0022, 0.0107, 0.0133, 0.0587, 0.0555, 0.0875, 0.1311, -0.0205, 0.0119, 0.0629, 0.0635, -0.0223, -0.0379, -0.0449, -0.1023, -0.2706, -0.159, -0.0601, -0.0925, -0.0969, -0.1605, -0.1606, -0.0923, -0.1001, -0.0288, -0.0348, -0.0375, 0.0195, -0.0018, -0.0221, 0.0008, 0.0106, 0.1033, 0.1056, 0.1159, 0.2594, 0.3057, 0.3238, 0.296, 0.2926, 0.3198, 0.3899, 0.3711, 0.2778, 0.3296, 0.3652, 0.3366, 0.4174, 0.4955, 0.5646, 0.6366, 0.6665, 0.6237, 0.6518, 0.7247, 0.6516, 0.5302, 0.5166, 0.5342, 0.6914, 0.82, 0.7824, 0.896, 0.8661, 0.9083, 0.8586, 0.9083, 1.2701, 1.3257, 1.2863, 1.3661, 1.5376, 1.6952, 1.7552, 2.3043, 3.1385, 2.831, 2.9159, 3.0266, 2.7937, 2.8297, 3.094, 3.4193, 3.1101, 2.8437, 2.6537, 2.198, 2.243, 2.7224, 2.662, 2.3771, 2.3886, 2.1576, 2.464, 2.5146, 2.6066, 3.0298, 2.5074, 2.3746, 2.4619, 2.0995, 2.2324, 2.1952, 1.6567, 1.5869, 1.6531, 1.6837, 1.5274, 1.5128, 1.6264, 1.6033, 1.5829, 1.6118, 1.3366, 1.3632, 1.1203, 1.0417, 0.6081, 0.7928]}
{"unit_id": "quote:1010621104787001347", "ticker_idx": 0, "ts": "2018-06-23T20:30:22+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "#bitcoin is behaving like the reserve currency of the #cryptoasset ecosystem. Its share of the ecosystem increases during panic attacks and flights to safety", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bitcoin gaining dominance as crypto's reserve currency during risk-off episodes; implicitly bullish BTC relative to altcoins.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "#bitcoin is behaving like the reserve currency of the #cryptoasset ecosystem.  Its share of the ecosystem increases during panic attacks and flights to safety. https://t.co/buv4JNxbcw", "reply_text": null, "parent_text": null, "quoted_text": "Bitcoin dominance back at the levels of one year ago, while small cap altcoin index loses ground. https://t.co/JAvO9ssacp", "parent_author": null, "ret_m1d": -0.02648191118194332, "ret_signed_m1d": -0.02648191118194332, "alpha_spy_m1d": -0.040282500853362824, "alpha_c_m1d": null, "bench_spy_m1d": 0.013800589671419505, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.02488490482462502, "ret_signed_p1d": -0.02488490482462502, "alpha_spy_p1d": -0.027098979488893504, "alpha_c_p1d": null, "bench_spy_p1d": 0.002214074664268484, "bench_c_p1d": null, "ret_p1w": 0.058407661442465786, "ret_signed_p1w": 0.058407661442465786, "alpha_spy_p1w": 0.05523405927651015, "alpha_c_p1w": null, "bench_spy_p1w": 0.0031736021659556357, "bench_c_p1w": null, "ret_p1m": 0.3480599525515886, "ret_signed_p1m": 0.3480599525515886, "alpha_spy_p1m": 0.30890841412649883, "alpha_c_p1m": null, "bench_spy_p1m": 0.03915153842508978, "bench_c_p1m": null, "ret_p3m": 0.043284037023293864, "ret_signed_p3m": 0.043284037023293864, "alpha_spy_p3m": -0.040037291908658235, "alpha_c_p3m": null, "bench_spy_p3m": 0.0833213289319521, "bench_c_p3m": null, "ret_p6m": -0.40855296565854227, "ret_signed_p6m": -0.40855296565854227, "alpha_spy_p6m": -0.354068524092194, "alpha_c_p6m": null, "bench_spy_p6m": -0.05448444156634824, "bench_c_p6m": null, "price_path": [0.2729, 0.1467, 0.1026, 0.1336, 0.1931, 0.0968, 0.09, 0.062, 0.0835, 0.0937, 0.1151, 0.2624, 0.2635, 0.2896, 0.2645, 0.3063, 0.3273, 0.4155, 0.4291, 0.5518, 0.4155, 0.4852, 0.4381, 0.4787, 0.4592, 0.4779, 0.5592, 0.5523, 0.4999, 0.4778, 0.4922, 0.4472, 0.3508, 0.3949, 0.3618, 0.3392, 0.2953, 0.3203, 0.3472, 0.2869, 0.2094, 0.2141, 0.197, 0.1419, 0.1958, 0.1852, 0.1992, 0.2068, 0.2025, 0.2216, 0.2248, 0.2287, 0.2201, 0.1053, 0.0533, 0.0161, 0.0682, 0.0332, 0.0777, 0.0833, 0.0844, 0.0769, -0.0265, 0.0, -0.0249, -0.0147, -0.0553, -0.0049, 0.0584, 0.0449, 0.0557, 0.0624, 0.0679, 0.0788, 0.0129, 0.0233, -0.0033, -0.0018, 0.0788, 0.1715, 0.1795, 0.1949, 0.1768, 0.2339, 0.3481, 0.3092, 0.2724, 0.3066, 0.309, 0.245, 0.2201, 0.2109, 0.1897, 0.1124, 0.0806, 0.0091, 0.0511, -0.0103, 0.0077, -0.0079, 0.0095, 0.0137, 0.053, 0.0095, 0.0383, 0.0204, 0.0457, 0.0753, 0.1017, 0.1356, 0.1277, 0.1167, 0.1262, 0.1618, 0.178, 0.087, 0.0448, 0.0349, 0.0129, 0.0115, 0.0164, 0.0429, 0.0422, 0.0051, 0.0195, 0.0239, 0.0433, 0.0777, 0.0554, 0.0316, 0.0393, 0.0684, 0.0632, 0.0545, 0.0491, 0.0406, 0.0524, 0.0597, 0.0645, 0.063, 0.0538, 0.0011, 0.0041, 0.0556, 0.0555, 0.0472, 0.0364, 0.0346, 0.0381, 0.0363, 0.0395, 0.0363, 0.0361, 0.0134, 0.0136, 0.011, 0.0206, 0.0223, 0.0273, 0.0339, 0.045, 0.0327, 0.0218, 0.0195, 0.0177, -0.0817, -0.0962, -0.1078, -0.2205, -0.2876, -0.2636, -0.3014, -0.3044, -0.3953, -0.3886, -0.3187, -0.3153, -0.3572, -0.3769, -0.3668, -0.3993, -0.4365, -0.4527, -0.4395, -0.452, -0.442, -0.4697, -0.4811, -0.4326, -0.4086]}
{"unit_id": "reply:1511059989707862024", "ticker_idx": 0, "ts": "2022-04-04T19:15:50+00:00", "symbol": "oil", "kind": "commodity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "This supply and price shock is destroying demand and accelerating the shift to electric transportation. So, yes.", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Confirms oil will continue falling toward $12/barrel as supply/price shock destroys demand and accelerates EV adoption.", "resolved_tickers": ["USO"], "resolution_method": "etf", "resolution_reason": "Oil commodity; USO is standard ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "reply_other", "lang": "en", "tweet_text": "@JavierBlas @EdLudlow @BloombergTV @BloombergRadio @elonmusk This supply and price shock is destroying demand and accelerating the shift to electric transportation. So, yes.", "reply_text": null, "parent_text": "@EdLudlow @CathieDWood @BloombergTV @BloombergRadio @elonmusk Still thinking oil prices going down to $12 a barrel?", "quoted_text": null, "parent_author": "JavierBlas", "ret_m1d": -0.03499873041952539, "ret_signed_m1d": 0.03499873041952539, "alpha_spy_m1d": 0.0265047970760397, "alpha_c_m1d": 0.0265047970760397, "bench_spy_m1d": -0.008493933343485693, "bench_c_m1d": -0.008493933343485693, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.026801945644485348, "ret_signed_p1d": 0.026801945644485348, "alpha_spy_p1d": 0.014170476239201202, "alpha_c_p1d": 0.014170476239201202, "bench_spy_p1d": -0.012631469405284146, "bench_c_p1d": -0.012631469405284146, "ret_p1w": -0.05932861725712246, "ret_signed_p1w": 0.05932861725712246, "alpha_spy_p1w": 0.022375806489545846, "alpha_c_p1w": 0.022375806489545846, "bench_spy_p1w": -0.036952810767576616, "bench_c_p1w": -0.036952810767576616, "ret_p1m": -0.00221178984641357, "ret_signed_p1m": 0.00221178984641357, "alpha_spy_p1m": -0.08627344835260708, "alpha_c_p1m": -0.08627344835260708, "bench_spy_p1m": -0.08848523819902065, "bench_c_p1m": -0.08848523819902065, "ret_p3m": 0.04540720577745483, "ret_signed_p3m": -0.04540720577745483, "alpha_spy_p3m": -0.2159860873500249, "alpha_c_p3m": -0.2159860873500249, "bench_spy_p3m": -0.17057888157257006, "bench_c_p3m": -0.17057888157257006, "ret_p6m": -0.16185274970881047, "ret_signed_p6m": 0.16185274970881047, "alpha_spy_p6m": -0.03593891234235547, "alpha_c_p6m": -0.03593891234235547, "bench_spy_p6m": -0.19779166205116594, "bench_c_p6m": -0.19779166205116594, "price_path": [-0.2788, -0.2598, -0.2627, -0.2693, -0.2433, -0.2335, -0.2419, -0.2198, -0.2198, -0.2067, -0.2057, -0.2108, -0.2092, -0.2179, -0.2067, -0.1975, -0.1952, -0.1937, -0.1871, -0.1864, -0.1866, -0.1737, -0.1555, -0.1585, -0.1723, -0.1651, -0.1678, -0.1447, -0.1366, -0.1637, -0.1733, -0.1651, -0.1577, -0.1577, -0.1473, -0.1382, -0.1369, -0.1439, -0.122, -0.0656, -0.0187, -0.0303, 0.0338, 0.0717, 0.1115, -0.0181, -0.0364, -0.006, -0.0523, -0.1071, -0.1116, -0.0414, -0.0289, 0.0349, 0.0221, 0.0662, 0.0376, 0.0505, -0.0303, -0.0092, 0.0137, -0.0356, -0.035, 0.0, -0.0268, -0.0496, -0.0488, -0.0358, -0.0593, -0.0114, 0.0203, 0.0353, 0.0353, 0.0462, 0.0, 0.0049, 0.0164, -0.0072, -0.0288, -0.0052, -0.0064, 0.0159, 0.0039, 0.0198, -0.0022, 0.0437, 0.0471, 0.0686, -0.0038, -0.0303, 0.0172, 0.0308, 0.0575, 0.0813, 0.0553, 0.0316, 0.0484, 0.0623, 0.0665, 0.0669, 0.0731, 0.1006, 0.1119, 0.1119, 0.112, 0.1129, 0.1352, 0.1641, 0.15, 0.1715, 0.1969, 0.185, 0.1727, 0.1756, 0.1508, 0.131, 0.1405, 0.0843, 0.0843, 0.0935, 0.0523, 0.0276, 0.0574, 0.079, 0.1023, 0.0792, 0.0454, 0.0626, 0.0626, -0.0271, -0.0415, -0.004, 0.0219, 0.0178, -0.0527, -0.0477, -0.0522, -0.0406, -0.0007, 0.0155, 0.0101, -0.0178, -0.0303, -0.0083, -0.0221, 0.0131, 0.0035, 0.0155, -0.0225, -0.0121, -0.0433, -0.0693, -0.0692, -0.0432, -0.0444, -0.033, -0.0075, -0.0245, -0.0518, -0.0731, -0.0626, -0.0345, -0.0364, -0.0284, -0.0004, 0.0154, -0.0047, -0.0131, 0.0238, -0.0181, -0.0488, -0.0769, -0.0706, -0.0706, -0.0708, -0.1202, -0.1141, -0.0749, -0.0584, -0.0631, -0.0537, -0.0924, -0.0906, -0.0886, -0.0994, -0.1064, -0.1027, -0.1501, -0.1777, -0.1619]}
{"unit_id": "quote:869156938193436674", "ticker_idx": 0, "ts": "2017-05-29T11:42:16+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "The uptrend in #cryptoasset network value still seems to be intact. #bitcoin", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Despite $20B crypto selloff, author sees crypto uptrend as intact; bullish BTC and ETH.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "The uptrend in #cryptoasset network value still seems to be intact. #bitcoin #ether https://t.co/OJrR9jQkgQ", "reply_text": null, "parent_text": null, "quoted_text": "In one day we've shed $20B in #cryptoasset network value, qualifying as a \"bear market.\" Never thought a bear market would be relieving 😅 https://t.co/St0BDOAXZO", "parent_author": null, "ret_m1d": -0.023581285334667412, "ret_signed_m1d": -0.023581285334667412, "alpha_spy_m1d": -0.023581285334667412, "alpha_c_m1d": null, "bench_spy_m1d": 0.0, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.03552925058061074, "ret_signed_p1d": -0.03552925058061074, "alpha_spy_p1d": -0.034660296829028825, "alpha_c_p1d": null, "bench_spy_p1d": -0.0008689537515819135, "bench_c_p1d": null, "ret_p1w": 0.19116776864629736, "ret_signed_p1w": 0.19116776864629736, "alpha_spy_p1w": 0.1817350776539246, "alpha_c_p1w": null, "bench_spy_p1w": 0.009432690992372761, "bench_c_p1w": null, "ret_p1m": 0.13160068877740705, "ret_signed_p1m": 0.13160068877740705, "alpha_spy_p1m": 0.12830381883821995, "alpha_c_p1m": null, "bench_spy_p1m": 0.003296869939187097, "bench_c_p1m": null, "ret_p3m": 0.9217329100975336, "ret_signed_p3m": 0.9217329100975336, "alpha_spy_p3m": 0.9073774825327567, "alpha_c_p3m": null, "bench_spy_p3m": 0.014355427564776813, "bench_c_p3m": null, "ret_p6m": 2.578304485809525, "ret_signed_p6m": 2.578304485809525, "alpha_spy_p6m": 2.4920672324605118, "alpha_c_p6m": null, "bench_spy_p6m": 0.08623725334901367, "bench_c_p6m": null, "price_path": [-0.458, -0.4454, -0.4347, -0.4357, -0.4576, -0.4902, -0.4731, -0.5049, -0.4538, -0.4503, -0.446, -0.4734, -0.5122, -0.5326, -0.5032, -0.5349, -0.5396, -0.5844, -0.5364, -0.5358, -0.5389, -0.5449, -0.5248, -0.4929, -0.4976, -0.5013, -0.4757, -0.4782, -0.4737, -0.4658, -0.4678, -0.4816, -0.4824, -0.4707, -0.4628, -0.4634, -0.4551, -0.4582, -0.4458, -0.439, -0.432, -0.4158, -0.4164, -0.3697, -0.3559, -0.3394, -0.3183, -0.3104, -0.236, -0.2218, -0.2077, -0.1805, -0.2356, -0.2293, -0.2311, -0.1847, -0.1627, -0.1188, -0.0364, 0.0287, 0.0834, 0.0219, -0.0236, 0.0, -0.0355, 0.0137, 0.0675, 0.1033, 0.1912, 0.2694, 0.2113, 0.2438, 0.2519, 0.1791, 0.2046, 0.1112, 0.0926, 0.1166, 0.1481, 0.2067, 0.1922, 0.1994, 0.2169, 0.0988, 0.1316, 0.1415, 0.1258, 0.0999, 0.1367, 0.1534, 0.1536, 0.1565, 0.1166, 0.0518, 0.0364, 0.0635, 0.0453, -0.0099, -0.0121, 0.028, 0.0079, 0.2492, 0.1827, 0.2213, 0.1423, 0.1214, 0.1845, 0.2453, 0.2748, 0.2051, 0.2017, 0.2434, 0.2839, 0.498, 0.5162, 0.4818, 0.4991, 0.6185, 0.9175, 0.854, 0.9403, 0.9204, 0.8446, 0.7741, 0.8179, 0.8405, 0.9217, 0.9381, 0.943, 1.0301, 1.024, 1.0852, 1.1688, 0.8781, 0.9403, 1.0381, 1.0393, 0.8748, 0.8449, 0.8313, 0.7213, 0.3987, 0.6127, 0.8023, 0.7401, 0.7317, 0.6098, 0.6096, 0.7406, 0.7256, 0.8623, 0.8508, 0.8457, 0.9548, 0.9141, 0.875, 0.919, 0.9378, 1.1156, 1.12, 1.1398, 1.4148, 1.5036, 1.5384, 1.4851, 1.4786, 1.5308, 1.6651, 1.6291, 1.4502, 1.5496, 1.6178, 1.5629, 1.7179, 1.8677, 2.0002, 2.1382, 2.1955, 2.1135, 2.1674, 2.3072, 2.167, 1.9341, 1.9081, 1.9419, 2.2433, 2.4898, 2.4177, 2.6357, 2.5783]}
{"unit_id": "quote:915552810690805761", "ticker_idx": 0, "ts": "2017-10-04T12:22:54+00:00", "symbol": "oil", "kind": "commodity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "oil prices should crumble, pushing its dollar value down toward that of gold during the next five to ten years", "tweet_type": "prediction", "timeline": "years", "summary": "Bearish oil: EV adoption across cars, trucks, drones, planes will crumble oil prices over 5–10 years.", "resolved_tickers": ["USO"], "resolution_method": "etf", "resolution_reason": "Oil commodity; USO is standard ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "With a shift to #EVs, both cars and trucks (not to mention drones and planes), #oil prices should crumble, pushing its dollar value down toward that of gold during the next five to ten years. https://t.co/ReQ27zHzuH", "reply_text": null, "parent_text": null, "quoted_text": "THE #OIL #MARKET IS BIGGER THAN ALL #METAL #MARKETS COMBINED - #metals #mining #commodities #copper #ironore #gold #zinc #silver $oil $gld https://t.co/j6961ZXyEq", "parent_author": null, "ret_m1d": 0.009920672839941913, "ret_signed_m1d": -0.009920672839941913, "alpha_spy_m1d": -0.011105573101487187, "alpha_c_m1d": -0.011105573101487187, "bench_spy_m1d": -0.0011849002615452742, "bench_c_m1d": -0.0011849002615452742, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.016865087061572304, "ret_signed_p1d": -0.016865087061572304, "alpha_spy_p1d": -0.010939622140504923, "alpha_c_p1d": -0.010939622140504923, "bench_spy_p1d": 0.00592546492106738, "bench_c_p1d": 0.00592546492106738, "ret_p1w": 0.02777775149707007, "ret_signed_p1w": -0.02777775149707007, "alpha_spy_p1w": -0.020430337432624013, "alpha_c_p1w": -0.020430337432624013, "bench_spy_p1w": 0.007347414064446056, "bench_c_p1w": 0.007347414064446056, "ret_p1m": 0.09027776332338844, "ret_signed_p1m": -0.09027776332338844, "alpha_spy_p1m": -0.07277875154328428, "alpha_c_p1m": -0.07277875154328428, "bench_spy_p1m": 0.017499011780104157, "bench_c_p1m": 0.017499011780104157, "ret_p3m": 0.1914682856928227, "ret_signed_p3m": -0.1914682856928227, "alpha_spy_p3m": -0.1319638541383128, "alpha_c_p3m": -0.1319638541383128, "bench_spy_p3m": 0.05950443155450991, "bench_c_p3m": 0.05950443155450991, "ret_p6m": 0.29861113607778345, "ret_signed_p6m": -0.29861113607778345, "alpha_spy_p6m": -0.24965228243626458, "alpha_c_p6m": -0.24965228243626458, "bench_spy_p6m": 0.04895885364151886, "bench_c_p6m": 0.04895885364151886, "price_path": [-0.0972, -0.0942, -0.0804, -0.0744, -0.0605, -0.0486, -0.0625, -0.0536, -0.0387, -0.0466, -0.0734, -0.0575, -0.0268, -0.0119, -0.002, 0.0089, 0.0198, 0.001, 0.006, -0.006, 0.005, 0.002, -0.002, 0.0069, -0.0169, -0.0089, -0.0357, -0.0327, -0.0506, -0.0456, -0.0109, -0.0367, -0.0308, -0.0198, -0.0367, -0.0327, -0.0546, -0.0615, -0.0694, -0.0446, -0.0407, -0.0407, -0.0159, -0.004, -0.005, -0.0347, -0.0258, -0.0208, -0.001, 0.005, 0.0119, 0.0089, 0.003, 0.0159, 0.0169, 0.0159, 0.0466, 0.0407, 0.0437, 0.0347, 0.0347, 0.0129, 0.0099, 0.0, 0.0169, -0.0109, -0.0079, 0.0198, 0.0278, 0.0149, 0.0288, 0.0377, 0.0407, 0.0397, 0.0268, 0.0347, 0.0337, 0.0456, 0.0397, 0.0486, 0.0754, 0.0784, 0.0843, 0.0813, 0.0903, 0.1091, 0.1419, 0.1399, 0.1319, 0.1369, 0.1329, 0.129, 0.1042, 0.1002, 0.0982, 0.126, 0.119, 0.131, 0.1508, 0.1508, 0.1696, 0.1498, 0.1488, 0.1379, 0.1379, 0.1577, 0.1399, 0.1448, 0.1111, 0.124, 0.1399, 0.1508, 0.1349, 0.124, 0.1339, 0.1369, 0.1349, 0.1419, 0.1518, 0.1548, 0.1567, 0.1567, 0.1855, 0.1825, 0.1875, 0.1915, 0.1915, 0.1974, 0.2242, 0.2272, 0.2212, 0.2282, 0.247, 0.2579, 0.2599, 0.2768, 0.2768, 0.2659, 0.2679, 0.2659, 0.2619, 0.2679, 0.2867, 0.3115, 0.2956, 0.3135, 0.3006, 0.2798, 0.2877, 0.3135, 0.2937, 0.2669, 0.2599, 0.2272, 0.1994, 0.1766, 0.1796, 0.1776, 0.2083, 0.2232, 0.2282, 0.2282, 0.2292, 0.2192, 0.249, 0.2669, 0.2758, 0.255, 0.2272, 0.2252, 0.2272, 0.249, 0.247, 0.2252, 0.2054, 0.2371, 0.2272, 0.2143, 0.2183, 0.2242, 0.245, 0.245, 0.2708, 0.3075, 0.2847, 0.3175, 0.3105, 0.2976, 0.2937, 0.2986]}
{"unit_id": "quote:938747210480660481", "ticker_idx": 0, "ts": "2017-12-07T12:29:10+00:00", "symbol": "crypto", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": false, "explicit_audit": "kept_implicit_alias_present", "polarity_reversed": false, "quote": "The #commodities boom is already under way but is not captured by this chart: think #cryptoassets", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Cryptoassets are already in a commodities-style boom; implicitly bullish on crypto broadly.", "resolved_tickers": ["BTC-USD", "ETH-USD"], "resolution_method": "basket", "resolution_reason": "Broad crypto; BTC and ETH as primary proxies", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "The #commodities boom is already under way but is not captured by this chart:  think #cryptoassets. https://t.co/B670TlTzTS", "reply_text": null, "parent_text": null, "quoted_text": "Commodities bottoming out against stocks... price/CPI inflation usually creeps in at the early stage of production, the raw materials. So new commodities boom could herald era of weak USD &amp; volatile stocks as companies deal with rising cost &amp; lower consumption challenge. https://t.co/S9E1lejpD7", "parent_author": null, "ret_m1d": -0.10748812640925015, "ret_signed_m1d": -0.10748812640925015, "alpha_spy_m1d": -0.10434489101671657, "alpha_c_m1d": null, "bench_spy_m1d": -0.003143235392533583, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.01227189671744261, "ret_signed_p1d": -0.01227189671744261, "alpha_spy_p1d": -0.01772536228375582, "alpha_c_p1d": null, "bench_spy_p1d": 0.005453465566313209, "bench_c_p1d": null, "ret_p1w": 0.2635677710590923, "ret_signed_p1w": 0.2635677710590923, "alpha_spy_p1w": 0.2575465633427348, "alpha_c_p1w": null, "bench_spy_p1w": 0.006021207716357502, "bench_c_p1w": null, "ret_p1m": 0.6352331503215041, "ret_signed_p1m": 0.6352331503215041, "alpha_spy_p1m": 0.5945334153800166, "alpha_c_p1m": null, "bench_spy_p1m": 0.040699734941487486, "bench_c_p1m": null, "ret_p3m": 0.24142342145573714, "ret_signed_p3m": 0.24142342145573714, "alpha_spy_p3m": 0.20277907938172168, "alpha_c_p3m": null, "bench_spy_p3m": 0.03864434207401546, "bench_c_p3m": null, "ret_p6m": -0.12171670098967569, "ret_signed_p6m": -0.12171670098967569, "alpha_spy_p6m": -0.1672724657203376, "alpha_c_p6m": null, "bench_spy_p6m": 0.04555576473066192, "bench_c_p6m": null, "price_path": [-0.7675, -0.7692, -0.7831, -0.8237, -0.7968, -0.7729, -0.7807, -0.7818, -0.7971, -0.7972, -0.7807, -0.7825, -0.7653, -0.7668, -0.7674, -0.7537, -0.7588, -0.7637, -0.7582, -0.7558, -0.7334, -0.7328, -0.7304, -0.6957, -0.6845, -0.6801, -0.6868, -0.6877, -0.6811, -0.6642, -0.6687, -0.6912, -0.6787, -0.6701, -0.677, -0.6575, -0.6386, -0.6219, -0.6045, -0.5973, -0.6077, -0.6009, -0.5833, -0.4311, -0.4707, -0.4522, -0.426, -0.412, -0.3992, -0.4021, -0.3488, -0.3597, -0.3313, -0.3034, -0.2228, -0.1729, -0.1747, -0.2317, -0.1995, -0.1564, -0.1332, -0.1339, -0.1075, 0.0, -0.0123, 0.066, 0.2363, 0.2672, 0.2636, 0.2824, 0.4486, 0.4482, 0.4071, 0.3865, 0.1631, 0.2733, 0.3404, 0.3204, 0.2563, 0.2768, 0.2708, 0.4365, 0.5327, 0.5648, 0.6352, 0.7457, 0.9037, 0.8637, 0.7038, 0.856, 0.873, 0.5338, 0.4799, 0.5133, 0.5202, 0.4601, 0.4387, 0.536, 0.53, 0.5265, 0.6764, 0.5152, 0.5727, 0.4495, 0.3007, -0.0024, 0.1295, 0.0843, 0.1722, 0.2614, 0.2492, 0.2131, 0.3282, 0.3624, 0.3726, 0.3999, 0.3491, 0.2769, 0.2151, 0.2824, 0.2902, 0.3105, 0.2748, 0.3098, 0.2959, 0.3059, 0.2414, 0.1449, 0.0734, 0.0998, 0.0626, 0.052, -0.062, -0.0645, -0.0746, -0.1181, -0.1097, -0.104, -0.135, -0.1309, -0.2068, -0.2631, -0.2641, -0.3556, -0.3533, -0.3574, -0.3119, -0.3705, -0.3686, -0.3884, -0.3522, -0.3323, -0.3098, -0.2123, -0.2123, -0.1866, -0.2004, -0.1679, -0.1147, -0.0442, -0.011, 0.086, -0.0446, 0.0222, -0.0042, 0.0292, 0.03, 0.0489, 0.1694, 0.1752, 0.1294, 0.1245, 0.1263, 0.0897, 0.018, 0.0843, 0.0536, 0.0476, 0.0003, 0.0297, 0.04, -0.0298, -0.1172, -0.0954, -0.1157, -0.2067, -0.1405, -0.149, -0.1258, -0.1217]}
{"unit_id": "quote:904528894434447360", "ticker_idx": 0, "ts": "2017-09-04T02:17:48+00:00", "symbol": "DXY", "kind": "index", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "#TaxReform17 could change this $DXY pattern to a reverse-head-and-shoulders in the next few months", "tweet_type": "prediction", "timeline": "months", "summary": "Bullish DXY: tax reform could flip the multi-decade bear trend into a reverse head-and-shoulders reversal pattern.", "resolved_tickers": ["UUP"], "resolution_method": "etf", "resolution_reason": "DXY dollar index; UUP ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "If we're talking technicals, then #TaxReform17 could change this $DXY pattern to a reverse-head-and-shoulders in the next few months. https://t.co/peBEnhe9Un", "reply_text": null, "parent_text": null, "quoted_text": "Lower-highs &amp; lower-lows in the #DXY’s multi-decade trend suggest that the dollar remains in a long-term bear market #WILTW https://t.co/zrjmfeMRME", "parent_author": null, "ret_m1d": 0.0, "ret_signed_m1d": 0.0, "alpha_spy_m1d": 0.0, "alpha_c_m1d": 0.0, "bench_spy_m1d": 0.0, "bench_c_m1d": 0.0, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.005398693500812679, "ret_signed_p1d": -0.005398693500812679, "alpha_spy_p1d": 0.001783336783575229, "alpha_c_p1d": 0.001783336783575229, "bench_spy_p1d": -0.007182030284387908, "bench_c_p1d": -0.007182030284387908, "ret_p1w": -0.009136126550480572, "ret_signed_p1w": -0.009136126550480572, "alpha_spy_p1w": -0.014663819739414885, "alpha_c_p1w": -0.014663819739414885, "bench_spy_p1w": 0.005527693188934313, "bench_c_p1w": 0.005527693188934313, "ret_p1m": 0.009551607590199573, "ret_signed_p1m": 0.009551607590199573, "alpha_spy_p1m": -0.015766730772537985, "alpha_c_p1m": -0.015766730772537985, "bench_spy_p1m": 0.025318338362737558, "bench_c_p1m": 0.025318338362737558, "ret_p3m": 0.004568110682935389, "ret_signed_p3m": 0.004568110682935389, "alpha_spy_p3m": -0.07001723990560338, "alpha_c_p3m": -0.07001723990560338, "bench_spy_p3m": 0.07458535058853877, "bench_c_p3m": 0.07458535058853877, "ret_p6m": -0.018178575495474414, "ret_signed_p6m": -0.018178575495474414, "alpha_spy_p6m": -0.13664893757372143, "alpha_c_p6m": -0.13664893757372143, "bench_spy_p6m": 0.11847036207824702, "bench_c_p6m": 0.11847036207824702, "price_path": [0.0374, 0.0411, 0.0444, 0.0428, 0.0415, 0.0407, 0.0469, 0.0432, 0.0478, 0.0494, 0.0473, 0.0478, 0.0444, 0.0461, 0.0345, 0.0311, 0.0262, 0.0278, 0.0341, 0.0341, 0.0345, 0.0299, 0.0316, 0.032, 0.0282, 0.0282, 0.0287, 0.0224, 0.0224, 0.017, 0.0195, 0.0133, 0.01, 0.0104, 0.012, 0.0062, 0.01, 0.0037, -0.0004, 0.0012, 0.0, -0.0025, 0.0062, 0.0058, 0.0075, 0.0066, 0.005, 0.0012, 0.0054, 0.01, 0.0066, 0.0087, 0.0054, 0.0025, 0.0066, 0.0025, 0.0046, -0.0037, -0.0066, -0.0054, 0.0008, -0.0021, 0.0, 0.0, -0.0054, -0.0062, -0.0133, -0.0158, -0.0091, -0.0096, -0.0037, -0.0066, -0.01, -0.0075, -0.0104, -0.0025, -0.0054, -0.0062, -0.0004, 0.0029, 0.0079, 0.005, 0.0042, 0.01, 0.0096, 0.0083, 0.0137, 0.012, 0.0104, 0.005, 0.0021, 0.0042, 0.0042, 0.0066, 0.0091, 0.0079, 0.0054, 0.0112, 0.0125, 0.0141, 0.0116, 0.0224, 0.0249, 0.0199, 0.0208, 0.0228, 0.0228, 0.0253, 0.0228, 0.0245, 0.0241, 0.0199, 0.0191, 0.0199, 0.0129, 0.0125, 0.0137, 0.0108, 0.0158, 0.0145, 0.0066, 0.0066, 0.0021, 0.0033, 0.0075, 0.0071, 0.0046, 0.0037, 0.0071, 0.0087, 0.0112, 0.0133, 0.015, 0.015, 0.0166, 0.0096, 0.0104, 0.0145, 0.013, 0.0101, 0.0088, 0.0084, 0.0088, 0.0088, 0.008, 0.0059, 0.003, -0.0011, -0.0011, -0.0053, -0.0016, -0.0049, -0.004, 0.0005, 0.0026, 0.0001, -0.004, -0.0144, -0.0144, -0.0198, -0.0173, -0.0186, -0.0169, -0.0203, -0.0228, -0.0323, -0.0311, -0.0331, -0.0306, -0.0323, -0.0336, -0.0385, -0.0327, -0.0286, -0.0265, -0.019, -0.019, -0.0182, -0.0215, -0.0269, -0.0344, -0.0385, -0.0319, -0.0319, -0.0257, -0.0219, -0.0252, -0.0232, -0.0244, -0.0182]}
{"unit_id": "quote:1545183009237778432", "ticker_idx": 0, "ts": "2022-07-07T23:08:32+00:00", "symbol": "ROKU", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Roku should be a prime beneficiary of the $150+ billion shift in global advertising from linear to digital TV", "tweet_type": "news_reaction", "timeline": "years", "summary": "Endorses ARK's bullish Roku thesis; prime beneficiary of $150B+ ad shift from linear to digital TV, base case $605 by 2026.", "resolved_tickers": ["ROKU"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLC", "bench_c_reason": "industry='Entertainment'", "bench_c_industry": "Entertainment", "unit_kind": "quote", "lang": "en", "tweet_text": "According to Nick’s original research (with support from @andrewkimARK), Roku should be a prime beneficiary of the $150+ billion shift in global advertising from linear to digital TV. A big idea, and another @ARKInvest open-source model!", "reply_text": null, "parent_text": null, "quoted_text": "Our Roku open-source model is now available on Github: https://t.co/90BgoAatof\n\nYou can read about our thesis and assumptions in our blog post: https://t.co/BeOo1kmy4Z\n\nOur base case suggests Roku’s share price could reach $605 by 2026.", "parent_author": null, "ret_m1d": -0.05305379396521326, "ret_signed_m1d": -0.05305379396521326, "alpha_spy_m1d": -0.03829770233382279, "alpha_c_m1d": -0.03760979977750434, "bench_spy_m1d": -0.014756091631390467, "bench_c_m1d": -0.01544399418770892, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.009840686911560814, "ret_signed_p1d": 0.009840686911560814, "alpha_spy_p1d": 0.010663308620568301, "alpha_c_p1d": 0.014579079803734518, "bench_spy_p1d": -0.0008226217090074872, "bench_c_p1d": -0.004738392892173704, "ret_p1w": -0.11926411146277183, "ret_signed_p1w": -0.11926411146277183, "alpha_spy_p1w": -0.090780267249575, "alpha_c_p1w": -0.06731608033073466, "bench_spy_p1w": -0.02848384421319683, "bench_c_p1w": -0.051948031132037165, "ret_p1m": -0.12011975595403301, "ret_signed_p1m": -0.12011975595403301, "alpha_spy_p1m": -0.18305192643955492, "alpha_c_p1m": -0.12205026393854634, "bench_spy_p1m": 0.06293217048552191, "bench_c_p1m": 0.00193050798451333, "ret_p3m": -0.3325489041426005, "ret_signed_p3m": -0.3325489041426005, "alpha_spy_p3m": -0.3082105285055433, "alpha_c_p3m": -0.22491942536512177, "bench_spy_p3m": -0.024338375637057208, "bench_c_p3m": -0.10762947877747875, "ret_p6m": -0.5646593037444912, "ret_signed_p6m": -0.5646593037444912, "alpha_spy_p6m": -0.5563666330191173, "alpha_c_p6m": -0.4107430701737923, "bench_spy_p6m": -0.008292670725373985, "bench_c_p6m": -0.15391623357069895, "price_path": [0.2349, 0.2149, 0.2459, 0.1911, 0.1911, 0.1542, 0.2491, 0.172, 0.0648, 0.0385, 0.0847, -0.0185, -0.0934, -0.0199, -0.0063, 0.1031, 0.1119, 0.1767, 0.0958, 0.0357, -0.0612, -0.1029, -0.158, -0.0641, 0.0465, -0.0025, 0.0446, 0.0144, 0.0362, 0.0076, -0.0184, -0.1533, -0.0931, -0.0529, 0.0319, 0.0319, 0.0151, -0.0291, 0.0252, -0.0664, -0.0424, -0.0007, 0.0897, -0.012, -0.1153, -0.2165, -0.2054, -0.1122, -0.1595, -0.1184, -0.1184, -0.0472, -0.0246, 0.0272, 0.0565, 0.0135, -0.0471, -0.0682, -0.1214, -0.1025, -0.1025, -0.0153, -0.0531, 0.0, 0.0098, -0.0816, -0.0634, -0.0692, -0.1193, -0.0826, -0.0564, -0.0387, 0.0277, 0.0432, -0.0497, -0.0725, -0.1457, -0.0703, -0.089, -0.2992, -0.2332, -0.1902, -0.155, -0.1306, -0.1201, -0.1058, -0.1646, -0.1327, -0.1373, -0.1035, -0.0974, -0.1002, -0.1612, -0.1666, -0.2069, -0.2407, -0.2636, -0.2618, -0.2146, -0.2692, -0.2832, -0.2832, -0.2726, -0.2694, -0.2941, -0.2941, -0.3183, -0.299, -0.2591, -0.2347, -0.2298, -0.2721, -0.2689, -0.2105, -0.2368, -0.219, -0.2684, -0.2981, -0.3487, -0.3595, -0.3777, -0.3701, -0.3463, -0.3927, -0.3967, -0.3629, -0.3325, -0.3614, -0.3647, -0.4108, -0.4266, -0.447, -0.4325, -0.4444, -0.4729, -0.4378, -0.4306, -0.4534, -0.4451, -0.4636, -0.4586, -0.4081, -0.4374, -0.4409, -0.4165, -0.4059, -0.3926, -0.419, -0.4455, -0.4696, -0.4612, -0.453, -0.4854, -0.4062, -0.3443, -0.3739, -0.3682, -0.3916, -0.3966, -0.4047, -0.426, -0.4185, -0.3956, -0.3956, -0.4001, -0.4234, -0.4205, -0.365, -0.3606, -0.3504, -0.3965, -0.4523, -0.4521, -0.4554, -0.4466, -0.4487, -0.4381, -0.4598, -0.5018, -0.5096, -0.524, -0.5401, -0.5406, -0.5469, -0.5577, -0.5577, -0.5804, -0.585, -0.5662, -0.5647]}
{"unit_id": "quote:1938957518644093380", "ticker_idx": 0, "ts": "2025-06-28T13:47:51+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "makes the case for $TSLA in The Brainstorm this week", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Cathie Wood endorses ARK's bullish case for TSLA winning the US robotaxi winner-take-most opportunity.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "Now that #robotaxis are commercializing , the next question is who will win this winner-take-most opportunity in the US. Based on two major competitive advantages, @skorusARK makes the case for $TSLA in The Brainstorm this week.", "reply_text": null, "parent_text": null, "quoted_text": "One big differentiator between Waymo and Tesla? The ride model. Waymo requires partnerships and fleet control. Tesla can crowdsource its fleet, allowing owners to “opt in” like Airbnb hosts for autonomous rides. @skorusARK highlights more distinctions in \"The Brainstorm.\"", "parent_author": null, "ret_m1d": 0.018793682402186596, "ret_signed_m1d": 0.018793682402186596, "alpha_spy_m1d": 0.023552037692714967, "alpha_c_m1d": 0.0129960479630149, "bench_spy_m1d": -0.004758355290528371, "bench_c_m1d": 0.005797634439171695, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.05335897504131726, "ret_signed_p1d": -0.05335897504131726, "alpha_spy_p1d": -0.0530353953251429, "alpha_c_p1d": -0.05763824530286743, "bench_spy_p1d": -0.0003235797161743603, "bench_c_p1d": 0.004279270261550172, "ret_p1w": -0.0746710349028824, "ret_signed_p1w": -0.0746710349028824, "alpha_spy_p1w": -0.07925146119923354, "alpha_c_p1w": -0.07959438476931047, "bench_spy_p1w": 0.004580426296351137, "bench_c_p1w": 0.004923349866428062, "ret_p1m": 0.011144017201131007, "ret_signed_p1m": 0.011144017201131007, "alpha_spy_p1m": -0.01703441629048541, "alpha_c_p1m": -0.02239945937265353, "bench_spy_p1m": 0.028178433491616417, "bench_c_p1m": 0.033543476573784536, "ret_p3m": 0.33284017429777446, "ret_signed_p3m": 0.33284017429777446, "alpha_spy_p3m": 0.2648229807381266, "alpha_c_p3m": 0.24400457150359456, "bench_spy_p3m": 0.06801719355964786, "bench_c_p3m": 0.0888356027941799, "ret_p6m": 0.5285525151447059, "ret_signed_p6m": 0.5285525151447059, "alpha_spy_p6m": 0.408691933370692, "alpha_c_p6m": 0.4000564802134323, "bench_spy_p6m": 0.11986058177401393, "bench_c_p6m": 0.1284960349312736, "price_path": [-0.1099, -0.1586, -0.2463, -0.2656, -0.3016, -0.1431, -0.2054, -0.2057, -0.2056, -0.2001, -0.2396, -0.2402, -0.2402, -0.2838, -0.2509, -0.2107, -0.1831, -0.103, -0.1, -0.0807, -0.1118, -0.1169, -0.0959, -0.1177, -0.1332, -0.1305, -0.1034, -0.0611, 0.0023, 0.0517, 0.0945, 0.0792, 0.1017, 0.0769, 0.0824, 0.0534, 0.0736, 0.0682, 0.0682, 0.1424, 0.1235, 0.1283, 0.0907, 0.0788, 0.0838, 0.0453, -0.1038, -0.0709, -0.0286, 0.0265, 0.0276, 0.0046, 0.0241, 0.0361, -0.0041, 0.0138, 0.0138, 0.0142, 0.0977, 0.0718, 0.0311, 0.0256, 0.0188, 0.0, -0.0534, -0.0063, -0.0073, -0.0073, -0.0747, -0.0625, -0.0686, -0.0245, -0.0131, -0.0024, -0.0217, 0.0126, 0.0055, 0.0377, 0.0341, 0.0455, 0.0469, -0.0389, -0.005, 0.025, 0.0111, 0.0043, -0.0296, -0.0473, -0.0264, -0.0281, 0.0071, 0.0145, 0.0377, 0.0673, 0.073, 0.0684, 0.0564, 0.0406, 0.0551, 0.0367, 0.0196, 0.0077, 0.0704, 0.0911, 0.1071, 0.1005, 0.0892, 0.051, 0.051, 0.0368, 0.0517, 0.0657, 0.1045, 0.0905, 0.0923, 0.0948, 0.161, 0.2464, 0.2908, 0.3273, 0.3406, 0.3123, 0.3413, 0.3669, 0.3406, 0.3939, 0.3328, 0.3864, 0.3952, 0.4, 0.4464, 0.3725, 0.3531, 0.4268, 0.3634, 0.381, 0.3711, 0.3017, 0.3722, 0.3513, 0.3699, 0.3497, 0.383, 0.4085, 0.3933, 0.3819, 0.4134, 0.3654, 0.4242, 0.4498, 0.4528, 0.3854, 0.4373, 0.4744, 0.3985, 0.4546, 0.4037, 0.3521, 0.4016, 0.3839, 0.3555, 0.2655, 0.2729, 0.2873, 0.2631, 0.2718, 0.2442, 0.2312, 0.3152, 0.3203, 0.3429, 0.3429, 0.3542, 0.3541, 0.3513, 0.4063, 0.4309, 0.4323, 0.3838, 0.4014, 0.4212, 0.4068, 0.4448, 0.4963, 0.5422, 0.4709, 0.5217, 0.5148, 0.5385, 0.5286]}
{"unit_id": "quote:1985758702784188926", "ticker_idx": 0, "ts": "2025-11-04T17:19:03+00:00", "symbol": "HOOD", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Robinhood is a generational company, literally", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Cathie Wood vouches HOOD as a generational company disrupting traditional finance; decisive bullish quality verdict.", "resolved_tickers": ["HOOD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLF", "bench_c_reason": "industry='Capital Markets'", "bench_c_industry": "Capital Markets", "unit_kind": "quote", "lang": "en", "tweet_text": "Robinhood is a generational company, literally. In this blog, @GrousARK and @varshikaARK describe how profoundly $HOOD is challenging and changing the traditional financial world.", "reply_text": null, "parent_text": null, "quoted_text": "Legacy financial institutions built empires on fees. Then came @RobinhoodApp, capturing the hearts—and wallets—of Millennials and Gen-Z. Now, it's on track to become the first consumer finance super-app and target a $600B+ TAM. This blog unpacks the $HOOD playbook in 3 Acts 🧵", "parent_author": null, "ret_m1d": 0.07514618823076691, "ret_signed_m1d": 0.07514618823076691, "alpha_spy_m1d": 0.06315045640194761, "alpha_c_m1d": 0.08029684594137221, "bench_spy_m1d": 0.0119957318288193, "bench_c_m1d": -0.0051506577106053, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.04152041337040213, "ret_signed_p1d": 0.04152041337040213, "alpha_spy_p1d": 0.038055024173405894, "alpha_c_p1d": 0.038086617096160236, "bench_spy_p1d": 0.003465389196996238, "bench_c_p1d": 0.003433796274241896, "ret_p1w": -0.03559949025830078, "ret_signed_p1w": -0.03559949025830078, "alpha_spy_p1w": -0.047091608431881316, "alpha_c_p1w": -0.0506700691180626, "bench_spy_p1w": 0.011492118173580534, "bench_c_p1w": 0.015070578859761818, "ret_p1m": -0.023099441459177417, "ret_signed_p1m": -0.023099441459177417, "alpha_spy_p1m": -0.035909682015603295, "alpha_c_p1m": -0.04465614519385386, "bench_spy_p1m": 0.012810240556425878, "bench_c_p1m": 0.02155670373467644, "ret_p3m": -0.2728070092272171, "ret_signed_p3m": -0.2728070092272171, "alpha_spy_p3m": -0.30061139186596353, "alpha_c_p3m": -0.2958282933911266, "bench_spy_p3m": 0.027804382638746405, "bench_c_p3m": 0.023021284163909472, "ret_p6m": -0.479532197661546, "ret_signed_p6m": -0.479532197661546, "alpha_spy_p6m": -0.5393505003998952, "alpha_c_p6m": -0.4785646922920417, "bench_spy_p6m": 0.059818302738349205, "bench_c_p6m": -0.0009675053695042957, "price_path": [-0.1869, -0.1621, -0.1694, -0.166, -0.206, -0.1907, -0.1654, -0.1592, -0.2142, -0.23, -0.223, -0.2009, -0.211, -0.2047, -0.2477, -0.242, -0.2395, -0.2395, -0.2629, -0.263, -0.2477, -0.2599, -0.1427, -0.1338, -0.1414, -0.1393, -0.1591, -0.1606, -0.142, -0.1327, -0.1162, -0.0879, -0.0871, -0.0775, -0.0731, -0.1034, -0.1098, -0.0006, 0.0466, 0.0171, 0.0651, 0.0868, 0.0545, 0.0599, 0.1029, 0.1145, 0.0158, 0.0284, -0.0135, -0.0194, -0.0392, -0.0504, -0.0073, -0.0363, -0.07, -0.0181, 0.0219, 0.0662, 0.0691, 0.0585, 0.0093, 0.073, 0.0751, 0.0, 0.0415, -0.0711, -0.0471, -0.0067, -0.0356, -0.0279, -0.1116, -0.1045, -0.1523, -0.1645, -0.1363, -0.2236, -0.2156, -0.1596, -0.1552, -0.0629, -0.0629, -0.0607, -0.0991, -0.0793, -0.0231, 0.002, -0.0355, -0.0027, -0.008, -0.0083, -0.0981, -0.1265, -0.1575, -0.1272, -0.1535, -0.1436, -0.1129, -0.1055, -0.1211, -0.1196, -0.1196, -0.1365, -0.1416, -0.1561, -0.1732, -0.1732, -0.1578, -0.0991, -0.1104, -0.145, -0.1565, -0.1574, -0.1409, -0.1211, -0.1252, -0.1933, -0.2051, -0.2051, -0.2268, -0.2257, -0.2233, -0.2179, -0.2178, -0.2307, -0.2442, -0.2599, -0.2728, -0.3428, -0.3635, -0.4107, -0.4687, -0.3946, -0.3673, -0.3743, -0.43, -0.4801, -0.4447, -0.4447, -0.4485, -0.4502, -0.447, -0.4436, -0.4753, -0.4635, -0.4333, -0.4192, -0.4455, -0.4241, -0.4439, -0.399, -0.4111, -0.4365, -0.42, -0.426, -0.4248, -0.4436, -0.4635, -0.4495, -0.4346, -0.4525, -0.4579, -0.4818, -0.4701, -0.495, -0.4697, -0.4857, -0.5174, -0.5237, -0.4934, -0.4875, -0.4963, -0.4963, -0.4899, -0.4909, -0.4749, -0.4874, -0.4942, -0.4761, -0.4219, -0.3617, -0.3651, -0.3366, -0.3328, -0.3682, -0.3536, -0.3893, -0.3808, -0.3863, -0.4001, -0.4795]}
{"unit_id": "orig:1921000312057254365", "ticker_idx": 0, "ts": "2025-05-10T00:32:19+00:00", "symbol": "ARK Invest", "kind": "etf", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "your transparency and focus on life science as the most profound application of AI will transform health care", "tweet_type": "analysis", "timeline": "unspecified", "summary": "ARK Invest bullish on AI-driven life science / health care transformation.", "resolved_tickers": ["ARKK"], "resolution_method": "etf", "resolution_reason": "ARK Invest flagship fund is ARKK; life science context fits", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "original", "lang": "en", "tweet_text": "Thank you, @MartyMakary and @VPrasadMDMPH, for setting the wayward financial markets straight with your X video post yesterday. @ARKInvest believes that your transparency and focus on life science as the most profound application of AI will transform health care. @NMDespotARK", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.057452296152988414, "ret_signed_m1d": -0.057452296152988414, "alpha_spy_m1d": -0.025462087487767238, "alpha_c_m1d": -0.025462087487767238, "bench_spy_m1d": -0.031990208665221176, "bench_c_m1d": -0.031990208665221176, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.053781210165104065, "ret_signed_p1d": 0.053781210165104065, "alpha_spy_p1d": 0.04717726914861986, "alpha_c_p1d": 0.04717726914861986, "bench_spy_p1d": 0.006603941016484205, "bench_c_p1d": 0.006603941016484205, "ret_p1w": 0.05359768737477344, "ret_signed_p1w": 0.05359768737477344, "alpha_spy_p1w": 0.03325427905332479, "alpha_c_p1w": 0.03325427905332479, "bench_spy_p1w": 0.020343408321448653, "bench_c_p1w": 0.020343408321448653, "ret_p1m": 0.1552863281122816, "ret_signed_p1m": 0.1552863281122816, "alpha_spy_p1m": 0.12082583633448674, "alpha_c_p1m": 0.12082583633448674, "bench_spy_p1m": 0.034460491777794866, "bench_c_p1m": 0.034460491777794866, "ret_p3m": 0.36472098199046954, "ret_signed_p3m": 0.36472098199046954, "alpha_spy_p3m": 0.2770193660983149, "alpha_c_p3m": 0.2770193660983149, "bench_spy_p3m": 0.08770161589215464, "bench_c_p3m": 0.08770161589215464, "ret_p6m": 0.5326725532599452, "ret_signed_p6m": 0.5326725532599452, "alpha_spy_p6m": 0.3677917448437009, "alpha_c_p6m": 0.3677917448437009, "bench_spy_p6m": 0.1648808084162443, "bench_c_p6m": 0.1648808084162443, "price_path": [0.1505, 0.1891, 0.2302, 0.2302, 0.2203, 0.2061, 0.1744, 0.105, 0.0844, 0.0279, 0.0363, 0.002, 0.0213, -0.0255, -0.024, 0.004, -0.043, -0.0373, -0.1215, -0.1155, -0.0894, -0.1327, -0.0971, -0.0826, -0.1145, -0.0813, -0.0819, -0.0547, -0.0055, -0.0062, -0.0518, -0.0679, -0.1061, -0.1267, -0.1226, -0.0978, -0.1718, -0.2302, -0.2239, -0.2564, -0.1327, -0.1826, -0.1577, -0.1509, -0.1456, -0.1725, -0.1718, -0.1718, -0.1843, -0.1535, -0.1199, -0.0824, -0.0639, -0.0595, -0.0541, -0.0668, -0.0681, -0.0474, -0.0696, -0.1046, -0.0898, -0.0552, -0.0575, 0.0, 0.0538, 0.0565, 0.0413, 0.0714, 0.0536, 0.0547, 0.022, 0.0349, 0.0292, 0.0292, 0.0655, 0.0459, 0.0393, 0.0347, 0.0486, 0.0635, 0.0642, 0.0345, 0.1221, 0.1456, 0.1553, 0.1661, 0.1384, 0.1415, 0.1918, 0.1731, 0.2256, 0.2256, 0.2432, 0.2638, 0.2904, 0.2757, 0.3038, 0.2819, 0.2902, 0.2654, 0.2955, 0.3049, 0.3049, 0.293, 0.3014, 0.3284, 0.3502, 0.3269, 0.3519, 0.3324, 0.3812, 0.3994, 0.4249, 0.4099, 0.4022, 0.4196, 0.3913, 0.4095, 0.4104, 0.3719, 0.3886, 0.3827, 0.3062, 0.3508, 0.3331, 0.3612, 0.3647, 0.3722, 0.3809, 0.4093, 0.4301, 0.4143, 0.4135, 0.4154, 0.3588, 0.3543, 0.3493, 0.4046, 0.3888, 0.4, 0.3862, 0.3963, 0.3759, 0.3759, 0.3658, 0.3728, 0.377, 0.3834, 0.3974, 0.4058, 0.3869, 0.4372, 0.4422, 0.4633, 0.4873, 0.4807, 0.5264, 0.5595, 0.5545, 0.5341, 0.5319, 0.4983, 0.5253, 0.5817, 0.5841, 0.5954, 0.6377, 0.6211, 0.6812, 0.6356, 0.6984, 0.6825, 0.5881, 0.611, 0.5943, 0.6391, 0.591, 0.583, 0.6522, 0.6272, 0.5666, 0.614, 0.6397, 0.6566, 0.6388, 0.6378, 0.5727, 0.6333, 0.6188, 0.5327]}
{"unit_id": "quote:1912596135623176307", "ticker_idx": 0, "ts": "2025-04-16T19:57:07+00:00", "symbol": "S&P 500", "kind": "index", "geography": "global", "sub_sector": null, "direction": "long", "conviction": "low", "explicit": false, "explicit_audit": "kept_implicit", "polarity_reversed": false, "quote": "investors shorting the equity market now will be caught flat footed or worse", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Warns equity shorts will be caught offside if tariff negotiations deliver lower global trade barriers — implied bullish on equities.", "resolved_tickers": ["SPY"], "resolution_method": "etf", "resolution_reason": "S&P 500 global context; SPY ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "If negotiations lead to lower global tariffs and lower non-tariff trade barriers, investors shorting the equity market now will be caught flat footed or worse. A global “tax cut” would be a very good thing.", "reply_text": null, "parent_text": null, "quoted_text": "Trusting President Trump will get this call right, Art Laffer just published an important article on the destructive impact of tariffs. The historical perspective—back to the 1920s—and the logic are the best I have seen. Let us know what you think. https://t.co/JQUvhcZ5ez", "parent_author": null, "ret_m1d": 0.022733470490564622, "ret_signed_m1d": 0.022733470490564622, "alpha_spy_m1d": 0.0, "alpha_c_m1d": 0.0, "bench_spy_m1d": 0.022733470490564622, "bench_c_m1d": 0.022733470490564622, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0014269268974194116, "ret_signed_p1d": 0.0014269268974194116, "alpha_spy_p1d": 0.0, "alpha_c_p1d": 0.0, "bench_spy_p1d": 0.0014269268974194116, "bench_c_p1d": 0.0014269268974194116, "ret_p1w": 0.01856719627772896, "ret_signed_p1w": 0.01856719627772896, "alpha_spy_p1w": 0.0, "alpha_c_p1w": 0.0, "bench_spy_p1w": 0.01856719627772896, "bench_c_p1w": 0.01856719627772896, "ret_p1m": 0.12327391758493023, "ret_signed_p1m": 0.12327391758493023, "alpha_spy_p1m": 0.0, "alpha_c_p1m": 0.0, "bench_spy_p1m": 0.12327391758493023, "bench_c_p1m": 0.12327391758493023, "ret_p3m": 0.19213412126318374, "ret_signed_p3m": 0.19213412126318374, "alpha_spy_p3m": 0.0, "alpha_c_p3m": 0.0, "bench_spy_p3m": 0.19213412126318374, "bench_c_p3m": 0.19213412126318374, "ret_p6m": 0.2841199360830704, "ret_signed_p6m": 0.2841199360830704, "alpha_spy_p6m": 0.0, "alpha_c_p6m": 0.0, "bench_spy_p6m": 0.2841199360830704, "bench_c_p6m": 0.2841199360830704, "price_path": [0.1334, 0.1334, 0.1438, 0.1502, 0.1565, 0.1531, 0.1368, 0.1466, 0.1414, 0.1476, 0.1415, 0.1338, 0.1414, 0.146, 0.15, 0.1395, 0.1472, 0.1481, 0.1444, 0.1565, 0.1564, 0.1564, 0.1598, 0.1625, 0.1577, 0.1379, 0.1327, 0.1271, 0.1276, 0.1096, 0.127, 0.1072, 0.0941, 0.1059, 0.0862, 0.0923, 0.0632, 0.0544, 0.06, 0.0459, 0.0675, 0.0757, 0.0641, 0.0757, 0.0725, 0.0729, 0.0921, 0.0947, 0.0817, 0.0788, 0.0571, 0.0642, 0.0672, 0.0739, 0.021, -0.0388, -0.0405, -0.0555, 0.0437, -0.0021, 0.0158, 0.0256, 0.0227, 0.0, 0.0014, 0.0014, -0.0224, 0.003, 0.0186, 0.04, 0.0475, 0.0479, 0.0545, 0.0549, 0.0624, 0.0782, 0.072, 0.063, 0.0675, 0.075, 0.0736, 0.1091, 0.1164, 0.1178, 0.1233, 0.1304, 0.1316, 0.1278, 0.1088, 0.1093, 0.1017, 0.1017, 0.1246, 0.1181, 0.1225, 0.1212, 0.1276, 0.134, 0.1337, 0.1282, 0.1398, 0.1408, 0.1473, 0.144, 0.1486, 0.1357, 0.1465, 0.1367, 0.1366, 0.1366, 0.1339, 0.1451, 0.1577, 0.1584, 0.1674, 0.1732, 0.1789, 0.1785, 0.1838, 0.1931, 0.1931, 0.1843, 0.1836, 0.1907, 0.1941, 0.1899, 0.1921, 0.187, 0.191, 0.1983, 0.1974, 0.1997, 0.1999, 0.2101, 0.2105, 0.2156, 0.2153, 0.2121, 0.2105, 0.206, 0.1862, 0.2043, 0.1982, 0.2073, 0.2063, 0.2157, 0.2133, 0.2262, 0.2304, 0.2306, 0.2277, 0.2274, 0.2208, 0.2175, 0.2126, 0.2312, 0.2258, 0.231, 0.2338, 0.2381, 0.2308, 0.2308, 0.2216, 0.2283, 0.2385, 0.2349, 0.238, 0.2408, 0.2444, 0.2548, 0.2543, 0.261, 0.2593, 0.2577, 0.2636, 0.2698, 0.2759, 0.2689, 0.2649, 0.259, 0.2662, 0.2698, 0.2746, 0.2789, 0.2804, 0.2804, 0.285, 0.2802, 0.2879, 0.2841]}
{"unit_id": "quote:1010624856575102977", "ticker_idx": 0, "ts": "2018-06-23T20:45:16+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "His thoughts on #EVs and $TSLA are sensational and ill-informed", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Defends bullish EV/TSLA thesis against a WSJ skeptic; implied bullish on TSLA.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "As much I respect his thinking on most subjects, @HolmanJenkins @WSJ needs to read @ARKInvest’s research. His thoughts on #EVs and $TSLA are sensational and ill-informed. https://t.co/3Q22eeOkBY", "reply_text": null, "parent_text": null, "quoted_text": "1/ In January 2018 @Reuters reported that $90B is being invested in #EV production. \n\nIt's now June and @WSJ reports that $105B is being invested in EVs. \n\nARK expects this number to continue to rise as automakers recognize the opportunity.", "parent_author": null, "ret_m1d": 0.0018618428575760682, "ret_signed_m1d": 0.0018618428575760682, "alpha_spy_m1d": -0.011938746813843437, "alpha_c_m1d": -0.020360250311084238, "bench_spy_m1d": 0.013800589671419505, "bench_c_m1d": 0.022222093168660306, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.02699616299368457, "ret_signed_p1d": 0.02699616299368457, "alpha_spy_p1d": 0.024782088329416085, "alpha_c_p1d": 0.019833740588605098, "bench_spy_p1d": 0.002214074664268484, "bench_c_p1d": 0.007162422405079472, "ret_p1w": 0.006185981700484344, "ret_signed_p1w": 0.006185981700484344, "alpha_spy_p1w": 0.0030123795345287085, "alpha_c_p1w": 0.0011359482211410477, "bench_spy_p1w": 0.0031736021659556357, "bench_c_p1w": 0.005050033479343297, "ret_p1m": -0.10684362779535239, "ret_signed_p1m": -0.10684362779535239, "alpha_spy_p1m": -0.14599516622044217, "alpha_c_p1m": -0.13255499407384774, "bench_spy_p1m": 0.03915153842508978, "bench_c_p1m": 0.02571136627849535, "ret_p3m": -0.10414103027928157, "ret_signed_p3m": -0.10414103027928157, "alpha_spy_p3m": -0.18746235921123366, "alpha_c_p3m": -0.18577541956070287, "bench_spy_p3m": 0.0833213289319521, "bench_c_p3m": 0.0816343892814213, "ret_p6m": 0.01207169388007756, "ret_signed_p6m": 0.01207169388007756, "alpha_spy_p6m": 0.0665561354464258, "alpha_c_p6m": 0.08635639062993394, "bench_spy_p6m": -0.05448444156634824, "bench_c_p6m": -0.07428469674985638, "price_path": [-0.2259, -0.2008, -0.2008, -0.2418, -0.1966, -0.1383, -0.0819, -0.1012, -0.1302, -0.085, -0.0963, -0.1169, -0.0981, -0.1255, -0.1361, -0.1191, -0.0989, -0.1284, -0.1491, -0.1488, -0.1571, -0.1427, -0.1169, -0.1174, -0.0994, -0.0957, -0.1458, -0.1169, -0.0908, -0.0932, -0.0786, -0.0841, -0.0959, -0.1232, -0.1466, -0.1397, -0.1456, -0.1687, -0.1457, -0.1742, -0.162, -0.1656, -0.1626, -0.1626, -0.1479, -0.124, -0.145, -0.1237, -0.1089, -0.1258, -0.0406, -0.0508, -0.0461, -0.0027, 0.0293, 0.0353, 0.0742, 0.0756, 0.1136, 0.0587, 0.0877, 0.0435, 0.0019, 0.0, 0.027, 0.0345, 0.0508, 0.0298, 0.0062, -0.0665, -0.0665, -0.0716, -0.0724, -0.0435, -0.0317, -0.0422, -0.0489, -0.0425, -0.0688, -0.031, -0.0275, -0.0384, -0.0583, -0.0895, -0.1068, -0.0729, -0.0792, -0.1076, -0.1286, -0.1047, -0.0966, 0.0496, 0.0455, 0.027, 0.1398, 0.1121, 0.0584, 0.0675, 0.0703, 0.0439, 0.0171, 0.0073, -0.0826, -0.0738, -0.0334, -0.0341, -0.0388, -0.0306, -0.0413, -0.0635, -0.0841, -0.0897, -0.0941, -0.0941, -0.1323, -0.157, -0.1563, -0.2095, -0.1427, -0.1609, -0.1275, -0.1308, -0.1135, -0.1146, -0.1443, -0.1021, -0.1041, -0.1018, -0.1001, -0.0962, -0.0704, -0.0765, -0.2049, -0.067, -0.0961, -0.1147, -0.1537, -0.2134, -0.2476, -0.2108, -0.2286, -0.2426, -0.2229, -0.2205, -0.1694, -0.1839, -0.2075, -0.2192, -0.2164, -0.1167, -0.1337, -0.0545, -0.0063, 0.0055, -0.0093, 0.0129, 0.0338, 0.0402, 0.0252, 0.0242, 0.0455, 0.0552, 0.0526, -0.0052, 0.0172, 0.033, 0.0463, 0.064, 0.0614, 0.0435, 0.0156, 0.0156, -0.0216, 0.039, 0.0328, 0.0446, 0.0245, 0.0525, 0.0765, 0.0801, 0.0801, 0.0902, 0.075, 0.0965, 0.1013, 0.1009, 0.1315, 0.0982, 0.0463, 0.0121]}
{"unit_id": "thread:1864526798056235407", "ticker_idx": 0, "ts": "2024-12-05T04:26:44+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "At $2,700, gold is a ~$15 trillion market, compared to bitcoin at only ~$2 trillion. Even after breaking through $100,000, bitcoin still is in early innings", "tweet_type": "prediction", "timeline": "years", "summary": "Long BTC: Fed Chair compared it to gold, but BTC's $2T market cap is far below gold's $15T, implying massive upside; still early innings.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "self_thread", "lang": "en", "tweet_text": "Great day for #bitcoin and digital property rights! Incoming SEC Chairman Paul Atkins will free digital assets from Gary Gensler’s chokehold and protect private property rights in the digital world.\n\n---\n\nToday, Fed Chair Powell described bitcoin as a virtual, digital version of gold. At $2,700, gold is a ~$15 trillion market, compared to bitcoin at only ~$2 trillion. Even after breaking through $100,000, bitcoin still is in early innings.\n\n---\n\nIndeed, @ARKInvest believes that bitcoin is a much bigger idea than gold!", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.022516622281002263, "ret_signed_m1d": 0.022516622281002263, "alpha_spy_m1d": 0.02086810429836139, "alpha_c_m1d": null, "bench_spy_m1d": 0.0016485179826408736, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.03444474217316973, "ret_signed_p1d": 0.03444474217316973, "alpha_spy_p1d": 0.032548900407955994, "alpha_c_p1d": null, "bench_spy_p1d": 0.001895841765213735, "bench_c_p1d": null, "ret_p1w": 0.03571075876313912, "ret_signed_p1w": 0.03571075876313912, "alpha_spy_p1w": 0.03955119016955222, "alpha_c_p1w": null, "bench_spy_p1w": -0.003840431406413103, "bench_c_p1w": null, "ret_p1m": 0.015672465259357837, "ret_signed_p1m": 0.015672465259357837, "alpha_spy_p1m": 0.03663579292865227, "alpha_c_p1m": null, "bench_spy_p1m": -0.02096332766929443, "bench_c_p1m": null, "ret_p3m": -0.09701862111196102, "ret_signed_p3m": -0.09701862111196102, "alpha_spy_p3m": -0.05109771228769422, "alpha_c_p3m": null, "bench_spy_p3m": -0.045920908824266804, "bench_c_p3m": null, "ret_p6m": 0.07666141727698128, "ret_signed_p6m": 0.07666141727698128, "alpha_spy_p6m": 0.09892629275278508, "alpha_c_p6m": null, "bench_spy_p6m": -0.022264875475803803, "bench_c_p6m": null, "price_path": [-0.4097, -0.4032, -0.4063, -0.3982, -0.3729, -0.3976, -0.3756, -0.3618, -0.3484, -0.3458, -0.3444, -0.3343, -0.3463, -0.3252, -0.3189, -0.3444, -0.3702, -0.3723, -0.371, -0.3574, -0.3557, -0.3568, -0.3728, -0.376, -0.3535, -0.3162, -0.3059, -0.3, -0.3022, -0.2917, -0.3026, -0.3026, -0.3123, -0.2944, -0.3101, -0.2763, -0.2471, -0.2511, -0.2731, -0.2807, -0.298, -0.2819, -0.2169, -0.2142, -0.2076, -0.0817, -0.0894, -0.0622, -0.0967, -0.0572, -0.0626, -0.044, -0.0233, 0.0198, 0.0249, -0.0361, -0.0477, -0.0065, -0.0097, 0.009, -0.0075, -0.0061, 0.0225, 0.0, 0.0344, 0.0087, 0.0008, 0.0474, 0.0357, 0.0504, 0.0977, 0.0988, 0.0357, 0.0093, 0.012, -0.0197, 0.0216, 0.028, -0.0083, -0.0251, -0.0409, -0.0328, -0.0225, 0.003, 0.0157, 0.0568, 0.0034, -0.016, -0.0425, -0.0196, -0.0215, -0.0006, 0.0405, 0.0327, 0.0815, 0.0561, 0.0989, 0.0731, 0.0763, 0.0852, 0.0569, 0.0491, 0.0736, 0.0843, 0.0602, 0.0498, 0.0132, 0.0002, -0.0, -0.0007, 0.0087, -0.0088, 0.0134, 0.0003, 0.0095, -0.0085, -0.0109, 0.0004, 0.018, -0.0048, -0.0536, -0.0813, -0.1268, -0.1231, -0.1265, -0.109, -0.097, -0.0618, -0.0687, -0.102, -0.187, -0.1422, -0.1333, -0.1607, -0.1307, -0.1296, -0.1436, -0.1008, -0.1286, -0.1299, -0.0942, -0.0944, -0.1003, -0.0975, -0.1267, -0.1454, -0.1183, -0.1461, -0.1397, -0.132, -0.1797, -0.2104, -0.1451, -0.1757, -0.1365, -0.1248, -0.1338, -0.13, -0.1211, -0.1257, -0.0939, -0.0326, -0.03, -0.0274, -0.0194, -0.0167, -0.0239, -0.0247, -0.001, 0.0033, -0.0191, 0.0022, 0.0045, 0.0688, 0.066, 0.0644, 0.0784, 0.0719, 0.074, 0.0714, 0.0933, 0.1056, 0.1355, 0.1561, 0.1107, 0.133, 0.1284, 0.116, 0.0937, 0.0767]}
{"unit_id": "quote:834168915936813057", "ticker_idx": 0, "ts": "2017-02-21T22:32:22+00:00", "symbol": "GM", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$GM also is interesting given the autonomous taxi ecosystem evolving in China", "tweet_type": "analysis", "timeline": "unspecified", "summary": "GM flagged as interesting play on autonomous taxi ecosystem evolving in China.", "resolved_tickers": ["GM"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "$GM also is interesting given the autonomous taxi ecosystem evolving in China:  $SAIC, $BABA, #Lyft,  #Didi. https://t.co/qA6dP230Wy", "reply_text": null, "parent_text": null, "quoted_text": "LG is adding production capacity at its Chevy Bolt #EV battery factory. https://t.co/fXxB0AtIfA", "parent_author": null, "ret_m1d": -0.015604273678235359, "ret_signed_m1d": -0.015604273678235359, "alpha_spy_m1d": -0.009684250672821304, "alpha_c_m1d": -0.009864333317522012, "bench_spy_m1d": -0.005920023005414055, "bench_c_m1d": -0.005739940360713347, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0007934701415741596, "ret_signed_p1d": 0.0007934701415741596, "alpha_spy_p1d": 0.0016815072216621596, "alpha_c_p1d": 0.0007934701415741596, "bench_spy_p1d": -0.000888037080088, "bench_c_p1d": 0.0, "ret_p1w": -0.025654675778801206, "ret_signed_p1w": -0.025654675778801206, "alpha_spy_p1w": -0.025570378393768856, "alpha_c_p1w": -0.017159544834970952, "bench_spy_p1w": -8.429738503235029e-05, "bench_c_p1w": -0.008495130943830254, "ret_p1m": -0.08114593793077873, "ret_signed_p1m": -0.08114593793077873, "alpha_spy_p1m": -0.07611066380958276, "alpha_c_p1m": -0.07308379981067836, "bench_spy_p1m": -0.005035274121195976, "bench_c_p1m": -0.00806213812010037, "ret_p3m": -0.12576624572145956, "ret_signed_p3m": -0.12576624572145956, "alpha_spy_p3m": -0.13784640476252596, "alpha_c_p3m": -0.15339768084678262, "bench_spy_p3m": 0.012080159041066407, "bench_c_p3m": 0.027631435125323067, "ret_p6m": -0.03414869485455918, "ret_signed_p6m": -0.03414869485455918, "alpha_spy_p6m": -0.08799350008051887, "alpha_c_p6m": -0.07507717823284066, "bench_spy_p6m": 0.05384480522595969, "bench_c_p6m": 0.04092848337828148, "price_path": [-0.1141, -0.1039, -0.1091, -0.0955, -0.0965, -0.0468, -0.0735, -0.0759, -0.0725, -0.0399, -0.0368, -0.004, -0.0188, -0.0119, -0.0492, -0.0415, -0.0381, -0.0373, -0.0317, -0.0368, -0.0561, -0.0561, -0.0561, -0.06, -0.0704, -0.0706, -0.0786, -0.0786, -0.0704, -0.019, -0.0376, -0.0481, -0.0476, -0.0122, 0.0037, -0.0079, -0.0124, -0.0124, -0.0132, -0.009, -0.0135, -0.0212, -0.0307, -0.0214, 0.0124, -0.0077, -0.0212, -0.0391, -0.0317, -0.0442, -0.055, -0.0391, -0.0259, -0.0717, -0.0706, -0.0722, -0.0698, -0.0606, -0.0151, -0.0193, -0.0206, -0.0156, -0.0156, 0.0, 0.0008, -0.0148, -0.0241, -0.0143, -0.0257, -0.0101, -0.0013, 0.0111, 0.0026, -0.0077, -0.0042, -0.016, -0.016, -0.0149, -0.0125, -0.009, -0.0093, -0.0293, -0.0459, -0.0769, -0.0811, -0.0846, -0.0766, -0.0726, -0.0499, -0.0504, -0.0539, -0.0552, -0.087, -0.0844, -0.0916, -0.0873, -0.0993, -0.0924, -0.0937, -0.0932, -0.1079, -0.1079, -0.0942, -0.0998, -0.0972, -0.0889, -0.0982, -0.094, -0.0918, -0.0814, -0.0771, -0.0745, -0.0862, -0.1129, -0.1055, -0.1143, -0.0977, -0.0924, -0.0846, -0.0854, -0.0886, -0.1017, -0.0964, -0.1071, -0.1338, -0.1324, -0.1258, -0.1204, -0.1124, -0.1129, -0.129, -0.1164, -0.1164, -0.1041, -0.0934, -0.0801, -0.0795, -0.0793, -0.0801, -0.0722, -0.0785, -0.0722, -0.0631, -0.0676, -0.0649, -0.0652, -0.0736, -0.072, -0.0706, -0.0779, -0.0763, -0.076, -0.0674, -0.0758, -0.0658, -0.0582, -0.0563, -0.039, -0.039, -0.0541, -0.0579, -0.056, -0.0493, -0.0436, -0.0409, -0.0312, -0.0179, -0.0171, -0.0158, -0.0147, -0.0163, -0.0255, -0.0323, -0.039, -0.0377, -0.029, -0.0336, -0.0279, -0.0609, -0.0593, -0.0606, -0.0471, -0.0463, -0.0439, -0.0468, -0.0577, -0.0563, -0.0417, -0.0398, -0.0341]}
{"unit_id": "orig:1119499270992711680", "ticker_idx": 1, "ts": "2019-04-20T07:13:20+00:00", "symbol": "LYFT", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Like $LYFT, Uber is an accident waiting to happen", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bearish UBER and LYFT on driver dissatisfaction and Tesla autonomy threat; bullish XBT over UBER.", "resolved_tickers": ["LYFT"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": "Software - Application", "unit_kind": "original", "lang": "en", "tweet_text": "No comparison. In LA for the holiday, I’m struck that all of my #Uber drivers are unhappy that their take rate dropped by 25% in March.  Like $LYFT, Uber is an accident waiting to happen, which $TSLA’s autonomy day on Monday will crystalize. $XBT will trounce $UBER.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.04233669305050902, "ret_signed_m1d": 0.04233669305050902, "alpha_spy_m1d": 0.04147538379742166, "alpha_c_m1d": 0.04147538379742166, "bench_spy_m1d": -0.0008613092530873612, "bench_c_m1d": -0.0008613092530873612, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.01132259012566783, "ret_signed_p1d": 0.01132259012566783, "alpha_spy_p1d": 0.020314635386185276, "alpha_c_p1d": 0.020314635386185276, "bench_spy_p1d": 0.008992045260517445, "bench_c_p1d": 0.008992045260517445, "ret_p1w": -0.00574332920919518, "ret_signed_p1w": 0.00574332920919518, "alpha_spy_p1w": 0.018145598910798255, "alpha_c_p1w": 0.018145598910798255, "bench_spy_p1w": 0.012402269701603075, "bench_c_p1w": 0.012402269701603075, "ret_p1m": -0.08910404377324521, "ret_signed_p1m": 0.08910404377324521, "alpha_spy_p1m": 0.0761505594913805, "alpha_c_p1m": 0.0761505594913805, "bench_spy_p1m": -0.012953484281864713, "bench_c_p1m": -0.012953484281864713, "ret_p3m": 0.0830325153810112, "ret_signed_p3m": -0.0830325153810112, "alpha_spy_p3m": -0.04853532916630088, "alpha_c_p3m": -0.04853532916630088, "bench_spy_p3m": 0.03449718621471032, "bench_c_p3m": 0.03449718621471032, "ret_p6m": -0.32589427704630747, "ret_signed_p6m": 0.32589427704630747, "alpha_spy_p6m": 0.3653427076719903, "alpha_c_p6m": 0.3653427076719903, "bench_spy_p6m": 0.03944843062568282, "bench_c_p6m": 0.03944843062568282, "price_path": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 0.2847, 0.1324, 0.1318, 0.1487, 0.1815, 0.2217, 0.1524, 0.1067, -0.0135, 0.0011, -0.0171, -0.0793, -0.077, -0.0235, -0.0423, -0.0423, 0.0, -0.0113, -0.0512, -0.0755, -0.0607, -0.0057, -0.0187, -0.0359, 0.0092, 0.0258, -0.0061, -0.0263, -0.1318, -0.0945, -0.1616, -0.2099, -0.171, -0.1132, -0.0876, -0.1173, -0.1035, -0.0891, -0.0502, -0.0464, -0.063, -0.063, -0.0665, -0.0768, -0.1003, -0.0545, -0.023, -0.029, 0.034, 0.0113, -0.0276, -0.0686, -0.0471, -0.0415, 0.0044, 0.0003, 0.0436, 0.0568, 0.0428, 0.0312, 0.0545, 0.0463, 0.0509, 0.0333, 0.0711, 0.0783, 0.0174, -0.0097, -0.0056, -0.0056, -0.0254, -0.0189, 0.0146, 0.0223, 0.0149, 0.0543, 0.0632, 0.0633, 0.0694, 0.083, 0.1068, 0.083, 0.0655, 0.0704, 0.0668, 0.0752, 0.0507, 0.0249, -0.0011, -0.0192, -0.0382, -0.0235, -0.0368, -0.0107, 0.019, -0.0299, -0.0781, -0.0469, -0.1058, -0.1336, -0.139, -0.152, -0.1196, -0.1114, -0.1572, -0.1941, -0.1597, -0.1859, -0.1986, -0.184, -0.1964, -0.1964, -0.2547, -0.2394, -0.2386, -0.2698, -0.2717, -0.2542, -0.2365, -0.2289, -0.2435, -0.2158, -0.2114, -0.235, -0.2242, -0.2381, -0.2565, -0.3128, -0.3144, -0.3124, -0.3215, -0.3298, -0.3507, -0.37, -0.3515, -0.3574, -0.3561, -0.3656, -0.3732, -0.3814, -0.3521, -0.3469, -0.3259]}
{"unit_id": "orig:1119499270992711680", "ticker_idx": 2, "ts": "2019-04-20T07:13:20+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$TSLA's autonomy day on Monday will crystalize", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bearish UBER and LYFT on driver dissatisfaction and Tesla autonomy threat; bullish XBT over UBER.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "original", "lang": "en", "tweet_text": "No comparison. In LA for the holiday, I’m struck that all of my #Uber drivers are unhappy that their take rate dropped by 25% in March.  Like $LYFT, Uber is an accident waiting to happen, which $TSLA’s autonomy day on Monday will crystalize. $XBT will trounce $UBER.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.03999998693348217, "ret_signed_m1d": 0.03999998693348217, "alpha_spy_m1d": 0.04086129618656953, "alpha_c_m1d": 0.03621283532166952, "bench_spy_m1d": -0.0008613092530873612, "bench_c_m1d": 0.0037871516118126447, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.004376739071872082, "ret_signed_p1d": 0.004376739071872082, "alpha_spy_p1d": -0.004615306188645363, "alpha_c_p1d": -0.007573980271424752, "bench_spy_p1d": 0.008992045260517445, "bench_c_p1d": 0.011950719343296834, "ret_p1w": -0.08098954482566978, "ret_signed_p1w": -0.08098954482566978, "alpha_spy_p1w": -0.09339181452727285, "alpha_c_p1w": -0.09302462073905715, "bench_spy_p1w": 0.012402269701603075, "bench_c_p1w": 0.012035075913387372, "ret_p1m": -0.2194861962037845, "ret_signed_p1m": -0.2194861962037845, "alpha_spy_p1m": -0.2065327119219198, "alpha_c_p1m": -0.19482691670057017, "bench_spy_p1m": -0.012953484281864713, "bench_c_p1m": -0.024659279503214337, "ret_p3m": -0.035052349915252745, "ret_signed_p3m": -0.035052349915252745, "alpha_spy_p3m": -0.06954953612996306, "alpha_c_p3m": -0.07354733839609973, "bench_spy_p3m": 0.03449718621471032, "bench_c_p3m": 0.03849498848084698, "ret_p6m": -0.01849663613384378, "ret_signed_p6m": -0.01849663613384378, "alpha_spy_p6m": -0.0579450667595266, "alpha_c_p6m": -0.048743563481696506, "bench_spy_p6m": 0.03944843062568282, "bench_c_p6m": 0.030246927347852726, "price_path": [0.0945, 0.1095, 0.1305, 0.128, 0.1321, 0.1751, 0.1685, 0.1882, 0.1908, 0.223, 0.2073, 0.1704, 0.1638, 0.1906, 0.1867, 0.1729, 0.1561, 0.1718, 0.1718, 0.1632, 0.1515, 0.1084, 0.1216, 0.1371, 0.1336, 0.1979, 0.2174, 0.1219, 0.0861, 0.0525, 0.0513, 0.0527, 0.0814, 0.1072, 0.0784, 0.0998, 0.1036, 0.0483, 0.0257, 0.018, 0.0413, 0.0429, 0.0068, -0.0089, 0.0191, 0.046, 0.0604, 0.0651, 0.1006, 0.088, 0.1106, 0.0191, 0.0465, 0.0398, 0.0364, 0.0507, 0.0216, 0.0188, 0.0138, 0.0404, 0.0323, 0.04, 0.04, 0.0, 0.0044, -0.0156, -0.0575, -0.1051, -0.081, -0.0916, -0.1094, -0.071, -0.0294, -0.0282, -0.0597, -0.0682, -0.079, -0.0884, -0.136, -0.1159, -0.1172, -0.131, -0.1968, -0.2184, -0.2195, -0.2665, -0.256, -0.2745, -0.2745, -0.2818, -0.2774, -0.2837, -0.2953, -0.3189, -0.2632, -0.2518, -0.2162, -0.2217, -0.1898, -0.1737, -0.2036, -0.1859, -0.182, -0.1436, -0.1447, -0.1382, -0.1641, -0.1556, -0.1488, -0.1636, -0.1655, -0.1519, -0.1495, -0.1354, -0.1454, -0.106, -0.106, -0.1128, -0.1233, -0.1244, -0.0907, -0.0919, -0.0673, -0.0352, -0.0395, -0.03, -0.0351, -0.0174, -0.0269, -0.0098, 0.0081, -0.1291, -0.1321, -0.1027, -0.078, -0.0805, -0.11, -0.1081, -0.131, -0.1218, -0.1116, -0.0931, -0.1056, -0.1284, -0.1056, -0.1641, -0.1793, -0.1629, -0.1367, -0.1404, -0.1595, -0.1545, -0.1954, -0.1817, -0.1852, -0.1795, -0.1562, -0.1414, -0.1414, -0.1436, -0.1601, -0.1262, -0.1343, -0.1178, -0.1036, -0.0596, -0.0642, -0.0668, -0.0759, -0.0684, -0.0733, -0.0615, -0.0842, -0.0819, -0.1505, -0.1296, -0.0768, -0.0785, -0.0833, -0.0687, -0.0747, -0.1131, -0.1192, -0.0953, -0.0864, -0.0693, -0.0685, -0.0566, -0.022, -0.0185]}
{"unit_id": "orig:942541350465163265", "ticker_idx": 0, "ts": "2017-12-17T23:45:44+00:00", "symbol": "BIDU", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$BIDU and #Tencent, both investing in #NIO and the latter also invested in $TSLA, will be important beneficiaries of #autonomous taxi networks", "tweet_type": "analysis", "timeline": "years", "summary": "BIDU and Tencent named as key beneficiaries of autonomous taxi networks and China's share of a $2T revenue opportunity; NIO cited as an investee.", "resolved_tickers": ["BIDU"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLC", "bench_c_reason": "industry='Internet Content & Information'", "bench_c_industry": "Internet Content & Information", "unit_kind": "original", "lang": "en", "tweet_text": "$BIDU and #Tencent, both investing in #NIO and the latter also invested in $TSLA, will be important beneficiaries of #autonomous taxi networks.  China will get a disproportionate share of what we believe will be a $2 trillion revenue opportunity. https://t.co/OArh8kApUZ", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.030921832792597304, "ret_signed_m1d": -0.030921832792597304, "alpha_spy_m1d": -0.024620597645017006, "alpha_c_m1d": null, "bench_spy_m1d": -0.0063012351475802975, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.022039587100056046, "ret_signed_p1d": -0.022039587100056046, "alpha_spy_p1d": -0.01819910634896782, "alpha_c_p1d": null, "bench_spy_p1d": -0.0038404807510882266, "bench_c_p1d": null, "ret_p1w": -0.00780305350589261, "ret_signed_p1w": -0.00780305350589261, "alpha_spy_p1w": -0.005230602358838765, "alpha_c_p1w": null, "bench_spy_p1w": -0.0025724511470538447, "bench_c_p1w": null, "ret_p1m": 0.06993735365355946, "ret_signed_p1m": 0.06993735365355946, "alpha_spy_p1m": 0.03723767745132145, "alpha_c_p1m": null, "bench_spy_p1m": 0.032699676202238015, "bench_c_p1m": null, "ret_p3m": 0.09039969883951371, "ret_signed_p3m": 0.09039969883951371, "alpha_spy_p3m": 0.06504537677318067, "alpha_c_p3m": null, "bench_spy_p3m": 0.025354322066333035, "bench_c_p3m": null, "ret_p6m": 0.10994903730230332, "ret_signed_p6m": 0.10994903730230332, "alpha_spy_p6m": 0.06581330739280289, "alpha_c_p6m": null, "bench_spy_p6m": 0.04413572990950043, "bench_c_p6m": null, "price_path": [-0.0123, -0.0083, -0.0015, -0.0267, -0.0197, -0.0046, 0.0015, 0.0281, 0.0321, 0.0252, 0.0126, 0.018, 0.0281, 0.0469, 0.0892, 0.0805, 0.0764, 0.0903, 0.1324, 0.122, 0.1164, 0.0979, 0.0995, 0.1046, 0.0958, 0.0918, 0.0817, -0.0065, -0.0187, 0.0125, 0.0187, 0.0048, 0.0025, 0.0149, 0.0105, 0.001, -0.0036, -0.0147, -0.0148, -0.0249, -0.0279, -0.0067, -0.0069, -0.0099, 0.014, 0.0362, 0.0362, 0.0352, 0.0253, 0.0129, -0.0226, -0.0098, -0.0243, -0.0468, -0.0381, -0.0406, -0.0329, -0.0263, -0.0307, -0.034, -0.0319, -0.0378, -0.0309, 0.0, -0.022, -0.0314, -0.006, -0.0078, -0.0078, -0.0129, -0.0134, -0.0257, -0.0279, -0.0279, 0.0061, 0.0192, 0.0199, 0.0175, 0.041, 0.0573, 0.0333, 0.0386, 0.0503, 0.0503, 0.0699, 0.0604, 0.0582, 0.0625, 0.0557, 0.0682, 0.0707, 0.0548, 0.0802, 0.0531, 0.013, 0.0249, -0.0017, -0.0322, -0.0648, -0.0505, -0.0765, -0.1198, -0.1048, -0.0801, -0.0636, -0.0209, 0.0302, 0.0157, 0.0157, 0.0187, 0.0249, 0.0349, 0.0407, 0.0636, 0.0396, 0.0474, 0.0366, 0.0401, 0.0579, 0.0739, 0.0678, 0.0673, 0.0939, 0.1027, 0.0723, 0.0765, 0.0904, 0.0891, 0.0494, 0.0562, 0.0379, -0.02, -0.045, -0.0207, -0.0414, -0.074, -0.0736, -0.0736, -0.0866, -0.0868, -0.069, -0.0638, -0.0876, -0.0689, -0.0391, -0.0468, -0.0398, -0.053, -0.0458, -0.0218, -0.0132, -0.0159, -0.035, -0.0395, -0.0395, -0.0395, -0.0093, 0.0457, 0.0414, 0.0465, 0.0368, 0.0479, 0.0448, 0.0538, 0.092, 0.0845, 0.1152, 0.1203, 0.13, 0.1286, 0.1791, 0.1608, 0.0501, -0.0017, -0.004, -0.0022, -0.0027, 0.0119, 0.0119, 0.0046, 0.0029, 0.0068, 0.0313, 0.0829, 0.0791, 0.0955, 0.0994, 0.0941, 0.1197, 0.1099]}
{"unit_id": "orig:942541350465163265", "ticker_idx": 1, "ts": "2017-12-17T23:45:44+00:00", "symbol": "Tencent", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$BIDU and #Tencent, both investing in #NIO and the latter also invested in $TSLA, will be important beneficiaries of #autonomous taxi networks", "tweet_type": "analysis", "timeline": "years", "summary": "BIDU and Tencent named as key beneficiaries of autonomous taxi networks and China's share of a $2T revenue opportunity; NIO cited as an investee.", "resolved_tickers": ["0700.HK"], "resolution_method": "exchange_ticker", "resolution_reason": "Tencent primary listing is 0700.HK on HKEX", "bench_c": "XLC", "bench_c_reason": "industry='Internet Content & Information'", "bench_c_industry": "Internet Content & Information", "unit_kind": "original", "lang": "en", "tweet_text": "$BIDU and #Tencent, both investing in #NIO and the latter also invested in $TSLA, will be important beneficiaries of #autonomous taxi networks.  China will get a disproportionate share of what we believe will be a $2 trillion revenue opportunity. https://t.co/OArh8kApUZ", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.013191203033363519, "ret_signed_m1d": -0.013191203033363519, "alpha_spy_m1d": -0.006889967885783221, "alpha_c_m1d": null, "bench_spy_m1d": -0.0063012351475802975, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.0177576166985407, "ret_signed_p1d": 0.0177576166985407, "alpha_spy_p1d": 0.021598097449628928, "alpha_c_p1d": null, "bench_spy_p1d": -0.0038404807510882266, "bench_c_p1d": null, "ret_p1w": 0.02942674082853003, "ret_signed_p1w": 0.02942674082853003, "alpha_spy_p1w": 0.031999191975583874, "alpha_c_p1w": null, "bench_spy_p1w": -0.0025724511470538447, "bench_c_p1w": null, "ret_p1m": 0.12683925977931043, "ret_signed_p1m": 0.12683925977931043, "alpha_spy_p1m": 0.09413958357707242, "alpha_c_p1m": null, "bench_spy_p1m": 0.032699676202238015, "bench_c_p1m": null, "ret_p3m": 0.18873663381053696, "ret_signed_p3m": 0.18873663381053696, "alpha_spy_p3m": 0.16338231174420392, "alpha_c_p3m": null, "bench_spy_p3m": 0.025354322066333035, "bench_c_p3m": null, "ret_p6m": 0.06131828861457911, "ret_signed_p6m": 0.06131828861457911, "alpha_spy_p6m": 0.017182558705078677, "alpha_c_p6m": null, "bench_spy_p6m": 0.04413572990950043, "bench_c_p6m": null, "price_path": [-0.1213, -0.1192, -0.1218, -0.1334, -0.1436, -0.1416, -0.1553, -0.1471, -0.1471, -0.1202, -0.1136, -0.1136, -0.1071, -0.1147, -0.1091, -0.1081, -0.1116, -0.1142, -0.0979, -0.0999, -0.1005, -0.1218, -0.1131, -0.1157, -0.1187, -0.1071, -0.1197, -0.1177, -0.1131, -0.1126, -0.0868, -0.0822, -0.0665, -0.0436, -0.0081, -0.0218, -0.0162, -0.0223, -0.0167, -0.0157, -0.0284, -0.0061, 0.0233, 0.0654, 0.0908, 0.0827, 0.0644, 0.0548, 0.0436, 0.0634, 0.0441, 0.0096, -0.0233, -0.0147, -0.0462, -0.0715, -0.0411, -0.0005, 0.0284, -0.0025, 0.0036, 0.0076, -0.0132, 0.0, 0.0178, 0.0081, 0.0142, 0.0294, 0.0294, 0.0294, 0.0178, 0.0355, 0.0299, 0.0299, 0.0599, 0.071, 0.0954, 0.0989, 0.1126, 0.1258, 0.1172, 0.0893, 0.1218, 0.0989, 0.1268, 0.139, 0.136, 0.1476, 0.1669, 0.204, 0.1898, 0.1618, 0.1953, 0.1963, 0.1715, 0.1761, 0.1669, 0.1476, 0.1187, 0.0401, 0.0523, 0.066, 0.0335, 0.0391, 0.0715, 0.0999, 0.1339, 0.1339, 0.1339, 0.1309, 0.1618, 0.1324, 0.1502, 0.1492, 0.1314, 0.0964, 0.1339, 0.106, 0.0781, 0.1126, 0.1015, 0.1238, 0.1339, 0.1669, 0.174, 0.1761, 0.1887, 0.1801, 0.1715, 0.1837, 0.1735, 0.1147, 0.0654, 0.0822, 0.0964, 0.0457, 0.0391, 0.0391, 0.0391, 0.0386, 0.0086, 0.0086, 0.0294, 0.0401, 0.0583, 0.0644, 0.0482, 0.035, 0.0223, 0.0076, 0.0147, 0.0294, 0.0152, -0.0005, 0.0061, -0.0188, -0.0304, -0.0147, -0.0081, -0.0081, -0.002, -0.0233, -0.0289, -0.036, -0.0091, 0.001, 0.0304, 0.037, 0.0446, 0.0096, 0.0051, 0.0426, 0.045, 0.0374, 0.0374, 0.0349, 0.0349, 0.0272, 0.0303, 0.0222, 0.0044, 0.015, 0.0272, 0.0552, 0.0679, 0.0806, 0.0913, 0.0552, 0.0654, 0.0613]}
{"unit_id": "thread:1310400552468131842", "ticker_idx": 0, "ts": "2020-09-28T02:06:52+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "traditional financial analysts have missed the mark... Analysts following $TSLA should be expert in energy storage, robotics, artificial intelligence, and software-as-service", "tweet_type": "analysis", "timeline": "years", "summary": "Bullish TSLA: dismisses analyst downgrades as misguided; EVs entering exponential multi-year growth driven by Wright's Law cost declines and 20x EV sales scaling.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "self_thread", "lang": "en", "tweet_text": "Predictably, when @elonmusk announced at Battery Day last week that $TSLA would cut the price of a Model 3 to $25,000, several financial analysts panicked, downgrading the stock and/or cutting their price targets. In our view, traditional financial analysts have missed the mark.\n\n---\n\nTraditional auto analysts are analyzing a mature industry in which lower prices signal trouble: higher inventories and lower sales. Led by #Tesla, electric vehicles (EVs) are in their infancy, and BECAUSE of lower costs and prices, are moving into exponential growth trajectory.\n\n---\n\nAccording to Wright’s Law, for every cumulative doubling in the number of EVs produced, costs will drop by 28%, suggesting that EV prices will drop below those of gas powered vehicles on a like-for-like basis during the next two years.\n\n---\n\nAnalysts following $TSLA should be expert in energy storage, robotics, artificial intelligence, and software-as-service. While they are expert at the internal combustion engine, traditional auto analysts are not equipped to analyze EVs, particularly $TSLA.\n\n---\n\nAccording to @skorusARK’s battery research, #EV sales will scale nearly 20-fold from roughly 1.8 million last year to 35 million, 40% of total global auto sales, during the next five to six years.\n\n---\n\nThe auto industry has not enjoyed exponential growth in roughly 100 years. EVs have entered exponential growth territory that will last for the next five to ten years.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.03290594955861448, "ret_signed_m1d": -0.03290594955861448, "alpha_spy_m1d": -0.016567988044129067, "alpha_c_m1d": -0.012419856762593273, "bench_spy_m1d": -0.01633796151448541, "bench_c_m1d": -0.020486092796021205, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.005056919415549199, "ret_signed_p1d": -0.005056919415549199, "alpha_spy_p1d": 0.0003893632891390775, "alpha_c_p1d": 0.0027020581259720178, "bench_spy_p1d": -0.005446282704688277, "bench_c_p1d": -0.007758977541521217, "ret_p1w": 0.010636267621782824, "ret_signed_p1w": 0.010636267621782824, "alpha_spy_p1w": -0.006030917869822794, "alpha_c_p1w": -0.01182329645845659, "bench_spy_p1w": 0.01666718549160562, "bench_c_p1w": 0.022459564080239414, "ret_p1m": 0.008262134704682733, "ret_signed_p1m": 0.008262134704682733, "alpha_spy_p1m": -0.003796998728947898, "alpha_c_p1m": -0.012495943959360822, "bench_spy_p1m": 0.012059133433630631, "bench_c_p1m": 0.020758078664043556, "ret_p3m": 0.5711538883721718, "ret_signed_p3m": 0.5711538883721718, "alpha_spy_p3m": 0.46228497665148294, "alpha_c_p3m": 0.4946369702216844, "bench_spy_p3m": 0.10886891172068891, "bench_c_p3m": 0.07651691815048745, "ret_p6m": 0.5720798491162182, "ret_signed_p6m": 0.5720798491162182, "alpha_spy_p6m": 0.39777378075584435, "alpha_c_p6m": 0.4403785612316584, "bench_spy_p6m": 0.17430606836037388, "bench_c_p6m": 0.13170128788455981, "price_path": [-0.4684, -0.4261, -0.4261, -0.3487, -0.34, -0.3514, -0.3379, -0.2665, -0.2891, -0.2798, -0.2659, -0.2874, -0.2874, -0.2198, -0.2553, -0.2439, -0.2815, -0.3272, -0.2689, -0.2989, -0.2882, -0.2937, -0.3206, -0.2949, -0.2939, -0.2949, -0.2927, -0.3102, -0.3264, -0.3474, -0.2617, -0.2303, -0.2162, -0.1284, -0.1039, -0.108, -0.0495, -0.0266, -0.0436, -0.0392, 0.0224, 0.063, 0.051, 0.1831, 0.1278, 0.0621, -0.0337, -0.0068, -0.0068, -0.216, -0.1304, -0.1184, -0.1151, -0.0038, 0.0678, 0.0488, 0.0053, 0.0497, 0.0669, 0.0072, -0.097, -0.0793, -0.0329, 0.0, -0.0051, 0.0185, 0.064, -0.0145, 0.0106, -0.0171, 0.0097, 0.0112, 0.0304, 0.0501, 0.0604, 0.0952, 0.0657, 0.0439, 0.0229, 0.0018, 0.0034, 0.0109, -0.0014, -0.0022, 0.0083, -0.036, -0.0246, -0.0787, -0.0491, 0.0064, -0.0005, 0.0401, 0.0208, 0.0001, -0.0257, -0.0097, -0.0224, -0.0302, -0.0311, 0.0485, 0.1554, 0.1854, 0.1624, 0.239, 0.3186, 0.3628, 0.3628, 0.3907, 0.3476, 0.3883, 0.3505, 0.4088, 0.4222, 0.5236, 0.5429, 0.4351, 0.4888, 0.4482, 0.5191, 0.5034, 0.4786, 0.5572, 0.65, 0.5429, 0.5203, 0.5337, 0.5712, 0.5712, 0.5757, 0.5812, 0.6495, 0.6754, 0.6754, 0.7326, 0.7453, 0.7948, 0.9374, 1.0893, 0.9259, 1.0167, 1.0285, 1.0062, 0.9614, 0.9614, 1.0051, 1.0191, 1.0061, 1.0101, 1.0912, 1.0966, 1.0517, 0.9835, 0.884, 0.9939, 1.0722, 1.0292, 1.018, 1.0233, 1.0499, 1.0168, 0.9108, 0.927, 0.9376, 0.9376, 0.8904, 0.8949, 0.8694, 0.8549, 0.6963, 0.6592, 0.7617, 0.6197, 0.6038, 0.7057, 0.6297, 0.5508, 0.4754, 0.4196, 0.3367, 0.5992, 0.5861, 0.661, 0.647, 0.6808, 0.607, 0.6662, 0.5507, 0.5548, 0.5907, 0.5721]}
{"unit_id": "quote:983853844483510272", "ticker_idx": 0, "ts": "2018-04-10T23:46:50+00:00", "symbol": "oil", "kind": "commodity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$80 will be the prelude to $30, then $10, to $3, a full circle back to the Arab oil embargo in 1973", "tweet_type": "prediction", "timeline": "years", "summary": "Bearish oil long-term: $80 price will accelerate EV/autonomous adoption, causing demand peak within two years and price collapse to $30, then $10, then $3.", "resolved_tickers": ["USO"], "resolution_method": "etf", "resolution_reason": "Oil commodity; USO is standard ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "If Saudi Arabia succeeds in getting the #oil price to $80, global demand could peak within two years, accelerated by the shift to #EVs and #autonomous taxi networks.  $80 will be the prelude to $30, then $10, to $3, a full circle back to the Arab oil embargo in 1973. https://t.co/L3PXVuJjye", "reply_text": null, "parent_text": null, "quoted_text": "Saudi Arabia could use an 80s revival for oil despite its drawbacks https://t.co/EfEvU7mJgG via @gadfly https://t.co/R0cbHx3Bun", "parent_author": null, "ret_m1d": -0.036226380546138026, "ret_signed_m1d": 0.036226380546138026, "alpha_spy_m1d": 0.020575207587313793, "alpha_c_m1d": 0.020575207587313793, "bench_spy_m1d": -0.015651172958824233, "bench_c_m1d": -0.015651172958824233, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.015094325227557492, "ret_signed_p1d": -0.015094325227557492, "alpha_spy_p1d": -0.020336389747619088, "alpha_c_p1d": -0.020336389747619088, "bench_spy_p1d": -0.005242064520061596, "bench_c_p1d": -0.005242064520061596, "ret_p1w": 0.012075460182046083, "ret_signed_p1w": -0.012075460182046083, "alpha_spy_p1w": 0.0069326893215089225, "alpha_c_p1w": 0.0069326893215089225, "bench_spy_p1w": 0.019008149503555005, "bench_c_p1w": 0.019008149503555005, "ret_p1m": 0.08452829324974198, "ret_signed_p1m": -0.08452829324974198, "alpha_spy_p1m": -0.06812235573382774, "alpha_c_p1m": -0.06812235573382774, "bench_spy_p1m": 0.016405937515914237, "bench_c_p1m": 0.016405937515914237, "ret_p3m": 0.12905660665260177, "ret_signed_p3m": -0.12905660665260177, "alpha_spy_p3m": -0.08565927267117379, "alpha_c_p3m": -0.08565927267117379, "bench_spy_p3m": 0.04339733398142798, "bench_c_p3m": 0.04339733398142798, "ret_p6m": 0.21358489990234375, "ret_signed_p6m": -0.21358489990234375, "alpha_spy_p6m": -0.10343433902566557, "alpha_c_p6m": -0.10343433902566557, "bench_spy_p6m": 0.11015056087667818, "bench_c_p6m": 0.11015056087667818, "price_path": [-0.0415, -0.0287, -0.0287, -0.037, -0.0355, -0.037, -0.04, -0.0355, -0.0211, -0.0023, -0.0143, -0.0008, -0.0106, -0.0264, -0.0204, -0.0008, -0.0158, -0.0362, -0.0415, -0.0664, -0.0875, -0.1049, -0.1026, -0.1042, -0.0808, -0.0694, -0.0657, -0.0657, -0.0649, -0.0725, -0.0498, -0.0362, -0.0294, -0.0453, -0.0664, -0.0679, -0.0664, -0.0498, -0.0513, -0.0679, -0.083, -0.0589, -0.0664, -0.0762, -0.0732, -0.0687, -0.0528, -0.0528, -0.0332, -0.0053, -0.0226, 0.0023, -0.003, -0.0128, -0.0158, -0.0121, -0.0121, -0.0385, -0.0332, -0.0325, -0.0317, -0.0558, -0.0362, 0.0, 0.0151, 0.0204, 0.0226, 0.0098, 0.0121, 0.0475, 0.0392, 0.0377, 0.0506, 0.0325, 0.0355, 0.0392, 0.0362, 0.0415, 0.0272, 0.0317, 0.043, 0.0634, 0.0642, 0.0611, 0.0845, 0.0875, 0.0755, 0.0853, 0.0868, 0.0913, 0.0936, 0.0891, 0.1072, 0.0989, 0.0951, 0.0785, 0.0325, 0.0325, 0.0196, 0.0438, 0.0226, 0.0, -0.0098, -0.0023, -0.0068, 0.0075, 0.0015, 0.0083, 0.0113, 0.0166, 0.0204, -0.0151, 0.003, -0.0083, 0.0023, 0.0045, 0.0581, 0.0392, 0.077, 0.1057, 0.1215, 0.1366, 0.1291, 0.126, 0.126, 0.1155, 0.1291, 0.1343, 0.1374, 0.08, 0.086, 0.0921, 0.0521, 0.0528, 0.0642, 0.0664, 0.0679, 0.0634, 0.074, 0.0883, 0.0921, 0.0808, 0.0974, 0.0777, 0.0634, 0.0838, 0.077, 0.08, 0.0838, 0.0491, 0.0475, 0.0626, 0.0574, 0.0558, 0.0196, 0.0287, 0.0332, 0.0385, 0.0438, 0.077, 0.077, 0.0891, 0.0943, 0.0891, 0.1064, 0.1132, 0.1102, 0.1102, 0.1004, 0.0936, 0.0792, 0.0777, 0.0725, 0.1019, 0.1155, 0.0936, 0.0943, 0.0921, 0.1087, 0.1275, 0.117, 0.1291, 0.1509, 0.1525, 0.1404, 0.1517, 0.1713, 0.2038, 0.1977, 0.2136]}
{"unit_id": "quote:1004423717064146944", "ticker_idx": 0, "ts": "2018-06-06T18:04:10+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$TSLA is ahead of the curve", "tweet_type": "news_reaction", "timeline": "unspecified", "summary": "Cathie Wood endorses TSLA as ahead of curve on battery cost, reaching sub-$100/kWh two years earlier than ARK expected.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "Two years ahead of when @ARKInvest @skorusARK expected!  $TSLA is ahead of the curve. https://t.co/meCaP4ovvl", "reply_text": null, "parent_text": null, "quoted_text": "Musk on battery price at the $TSLA shareholder meeting: can likely get below $100/kWh on the cell level by the end of the year. Can eventually get below $100/kWh at pack level", "parent_author": null, "ret_m1d": -0.08879496216375371, "ret_signed_m1d": -0.08879496216375371, "alpha_spy_m1d": -0.08050345104526713, "alpha_c_m1d": -0.0795603700791786, "bench_spy_m1d": -0.008291511118486583, "bench_c_m1d": -0.00923459208457511, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.01067291441269691, "ret_signed_p1d": -0.01067291441269691, "alpha_spy_p1d": -0.010564668191946569, "alpha_c_p1d": -0.013598616179803624, "bench_spy_p1d": -0.00010824622075034096, "bench_c_p1d": 0.0029257017671067143, "ret_p1w": 0.0791236296863691, "ret_signed_p1w": 0.0791236296863691, "alpha_spy_p1w": 0.07685257542295565, "alpha_c_p1w": 0.06367140369994528, "bench_spy_p1w": 0.0022710542634134523, "bench_c_p1w": 0.015452225986423818, "ret_p1m": -0.03236305102005543, "ret_signed_p1m": -0.03236305102005543, "alpha_spy_p1m": -0.021318886437496798, "alpha_c_p1m": -0.03563149140424193, "bench_spy_p1m": -0.011044164582558635, "bench_c_p1m": 0.0032684403841864995, "ret_p3m": -0.05583723026462717, "ret_signed_p3m": -0.05583723026462717, "alpha_spy_p3m": -0.107075974120456, "alpha_c_p3m": -0.12795178447327216, "bench_spy_p3m": 0.05123874385582883, "bench_c_p3m": 0.07211455420864499, "ret_p6m": 0.06782478253090662, "ret_signed_p6m": 0.06782478253090662, "alpha_spy_p6m": 0.0712273490431985, "alpha_c_p6m": 0.0820617621905142, "bench_spy_p6m": -0.0034025665122918713, "bench_c_p6m": -0.014236979659607574, "price_path": [0.024, 0.0814, 0.0699, 0.0223, 0.0191, 0.0058, -0.0186, -0.028, -0.0093, -0.0326, -0.0562, -0.0479, -0.1262, -0.1932, -0.167, -0.167, -0.2098, -0.1627, -0.1019, -0.0431, -0.0632, -0.0934, -0.0463, -0.0581, -0.0796, -0.06, -0.0885, -0.0996, -0.0818, -0.0608, -0.0916, -0.1131, -0.1128, -0.1215, -0.1065, -0.0796, -0.0801, -0.0613, -0.0574, -0.1097, -0.0795, -0.0524, -0.0549, -0.0396, -0.0453, -0.0577, -0.0862, -0.1105, -0.1033, -0.1094, -0.1336, -0.1096, -0.1392, -0.1265, -0.1304, -0.1272, -0.1272, -0.1119, -0.0869, -0.1088, -0.0866, -0.0712, -0.0888, 0.0, -0.0107, -0.0058, 0.0394, 0.0728, 0.0791, 0.1196, 0.121, 0.1607, 0.1034, 0.1337, 0.0877, 0.0442, 0.0423, 0.0704, 0.0782, 0.0952, 0.0734, 0.0487, -0.027, -0.027, -0.0324, -0.0332, -0.0031, 0.0093, -0.0017, -0.0087, -0.002, -0.0294, 0.01, 0.0136, 0.0023, -0.0185, -0.051, -0.0691, -0.0337, -0.0402, -0.0699, -0.0918, -0.0669, -0.0584, 0.094, 0.0897, 0.0704, 0.188, 0.1591, 0.1031, 0.1126, 0.1155, 0.0881, 0.0601, 0.0499, -0.0438, -0.0346, 0.0075, 0.0067, 0.0019, 0.0104, -0.0007, -0.0239, -0.0454, -0.0512, -0.0558, -0.0558, -0.0956, -0.1213, -0.1207, -0.1761, -0.1064, -0.1254, -0.0906, -0.094, -0.0761, -0.0772, -0.1081, -0.0641, -0.0663, -0.0638, -0.062, -0.0579, -0.031, -0.0375, -0.1713, -0.0275, -0.0578, -0.0773, -0.1179, -0.1801, -0.2158, -0.1775, -0.196, -0.2105, -0.19, -0.1875, -0.1343, -0.1494, -0.174, -0.1862, -0.1833, -0.0794, -0.097, -0.0145, 0.0357, 0.048, 0.0326, 0.0558, 0.0776, 0.0842, 0.0685, 0.0675, 0.0897, 0.0998, 0.0971, 0.0369, 0.0602, 0.0767, 0.0906, 0.109, 0.1063, 0.0876, 0.0585, 0.0585, 0.0198, 0.0829, 0.0764, 0.0888, 0.0678]}
{"unit_id": "quote:1523439741542100992", "ticker_idx": 0, "ts": "2022-05-08T23:08:33+00:00", "symbol": "ZM", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "we believe that Zoom will be a prime beneficiary of the first 'rip and replace' cycle since the early nineties in the $1.5 trillion global enterprise communications space", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Long ZM as prime beneficiary of enterprise communications rip-and-replace cycle; dismisses naysayers conflating it with profitless tech.", "resolved_tickers": ["ZM"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": "Software - Application", "unit_kind": "quote", "lang": "en", "tweet_text": "Naysayers lump Zoom $ZM into profit less tech, concept capital, stay at home stocks. Along with Microsoft, we believe that Zoom will be a prime beneficiary of the first “rip and replace” cycle since the early nineties in the $1.5 trillion global enterprise communications space.", "reply_text": null, "parent_text": null, "quoted_text": "Just a reminder that in Q4 FY22 Zoom reported a $5.4B cash position with a 38% adjusted free cash flow margin on &gt;$4B ARR", "parent_author": null, "ret_m1d": 0.043751365342751036, "ret_signed_m1d": 0.043751365342751036, "alpha_spy_m1d": 0.010675022198724182, "alpha_c_m1d": 0.010675022198724182, "bench_spy_m1d": 0.033076343144026854, "bench_c_m1d": 0.033076343144026854, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.01797699911791839, "ret_signed_p1d": -0.01797699911791839, "alpha_spy_p1d": -0.02028749713448308, "alpha_c_p1d": -0.02028749713448308, "bench_spy_p1d": 0.0023104980165646882, "bench_c_p1d": 0.0023104980165646882, "ret_p1w": -0.037037018676401634, "ret_signed_p1w": -0.037037018676401634, "alpha_spy_p1w": -0.04185888532164206, "alpha_c_p1w": -0.04185888532164206, "bench_spy_p1w": 0.004821866645240425, "bench_c_p1w": 0.004821866645240425, "ret_p1m": 0.24583068527069063, "ret_signed_p1m": 0.24583068527069063, "alpha_spy_p1m": 0.20170386658168882, "alpha_c_p1m": 0.20170386658168882, "bench_spy_p1m": 0.04412681868900181, "bench_c_p1m": 0.04412681868900181, "ret_p3m": 0.22222227730412847, "ret_signed_p3m": 0.22222227730412847, "alpha_spy_p3m": 0.1775451703333999, "alpha_c_p3m": 0.1775451703333999, "bench_spy_p3m": 0.044677106970728575, "bench_c_p3m": 0.044677106970728575, "ret_p6m": -0.10233915229607271, "ret_signed_p6m": -0.10233915229607271, "alpha_spy_p6m": -0.07621293233108895, "alpha_c_p6m": -0.07621293233108895, "bench_spy_p6m": -0.026126219964983766, "bench_c_p6m": -0.026126219964983766, "price_path": [0.6201, 0.5781, 0.5296, 0.5388, 0.5909, 0.5, 0.4011, 0.3749, 0.3749, 0.3711, 0.3006, 0.375, 0.3572, 0.436, 0.3297, 0.317, 0.2249, 0.1798, 0.1683, 0.1749, 0.1813, 0.119, 0.0626, 0.0249, 0.0718, 0.157, 0.2052, 0.2593, 0.2656, 0.2974, 0.265, 0.2752, 0.2338, 0.2719, 0.3673, 0.3254, 0.2695, 0.2781, 0.3459, 0.3214, 0.2572, 0.238, 0.201, 0.181, 0.1542, 0.2442, 0.1946, 0.1946, 0.1451, 0.204, 0.123, 0.0932, 0.0848, 0.1094, 0.0652, 0.0572, 0.1107, 0.0783, 0.1348, 0.1212, 0.1802, 0.0921, 0.0438, 0.0, -0.018, -0.0817, -0.0798, 0.0271, -0.037, -0.0152, -0.0828, -0.0152, -0.0282, -0.0326, 0.0217, 0.1083, 0.1588, 0.1958, 0.1958, 0.1636, 0.1658, 0.2155, 0.185, 0.2022, 0.2458, 0.2504, 0.1956, 0.1812, 0.1189, 0.1572, 0.223, 0.1489, 0.1912, 0.1912, 0.2326, 0.2472, 0.2743, 0.3281, 0.2976, 0.2251, 0.2115, 0.1693, 0.2018, 0.2018, 0.3041, 0.2677, 0.3076, 0.2974, 0.1737, 0.1695, 0.0939, 0.0543, 0.0813, 0.0713, 0.1055, 0.1597, 0.2005, 0.1539, 0.149, 0.0865, 0.147, 0.1503, 0.1248, 0.1413, 0.1713, 0.2234, 0.2222, 0.2329, 0.2426, 0.1402, 0.213, 0.1702, 0.1861, 0.2262, 0.1825, 0.1087, 0.1174, 0.0775, 0.0552, -0.1193, -0.0945, -0.0717, -0.1184, -0.1228, -0.1183, -0.1293, -0.1213, -0.1251, -0.1251, -0.1334, -0.1226, -0.1311, -0.1053, -0.0895, -0.146, -0.1381, -0.1314, -0.1479, -0.1518, -0.1652, -0.1776, -0.1928, -0.1937, -0.2059, -0.1958, -0.1781, -0.1935, -0.2031, -0.1993, -0.1603, -0.1605, -0.1515, -0.1706, -0.2016, -0.2018, -0.1854, -0.1907, -0.2171, -0.1695, -0.1528, -0.1734, -0.1341, -0.123, -0.127, -0.0893, -0.0971, -0.1054, -0.088, -0.0964, -0.1023]}
{"unit_id": "orig:2018149219786178605", "ticker_idx": 0, "ts": "2026-02-02T02:27:24+00:00", "symbol": "DXY", "kind": "index", "geography": "US", "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "the dollar could soar, like it did under Reaganomics in the early eighties", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Dollar could soar if US ROIC improves under current Administration policies, analogous to Reagan-era dollar surge.", "resolved_tickers": ["UUP"], "resolution_method": "etf", "resolution_reason": "DXY US dollar index; UUP ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "original", "lang": "en", "tweet_text": "Put in perspective, the trade-weighted dollar (DXY) has corrected but has not crashed. If this Administration's policies increase the ROIC in the US relative to that in the rest of the world, the dollar could soar, like it did under Reaganomics in the early eighties. https://t.co/VpjZI75Y2P", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.005187083765678668, "ret_signed_m1d": -0.005187083765678668, "alpha_spy_m1d": -0.0002403138195239407, "alpha_c_m1d": -0.0002403138195239407, "bench_spy_m1d": -0.004946769946154728, "bench_c_m1d": -0.004946769946154728, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.002593541882839334, "ret_signed_p1d": -0.002593541882839334, "alpha_spy_p1d": 0.005861854547861256, "alpha_c_p1d": 0.005861854547861256, "bench_spy_p1d": -0.00845539643070059, "bench_c_p1d": -0.00845539643070059, "ret_p1w": -0.007410109569724321, "ret_signed_p1w": -0.007410109569724321, "alpha_spy_p1w": -0.005310671819483748, "alpha_c_p1w": -0.005310671819483748, "bench_spy_p1w": -0.0020994377502405737, "bench_c_p1w": -0.0020994377502405737, "ret_p1m": 0.01741383169100419, "ret_signed_p1m": 0.01741383169100419, "alpha_spy_p1m": 0.039098810242503945, "alpha_c_p1m": 0.039098810242503945, "bench_spy_p1m": -0.021684978551499756, "bench_c_p1m": -0.021684978551499756, "ret_p3m": 0.013708812240500023, "ret_signed_p3m": 0.013708812240500023, "alpha_spy_p3m": -0.022546994766473594, "alpha_c_p3m": -0.022546994766473594, "bench_spy_p3m": 0.03625580700697362, "bench_c_p3m": 0.03625580700697362, "ret_p6m": null, "ret_signed_p6m": null, "alpha_spy_p6m": null, "alpha_c_p6m": null, "bench_spy_p6m": null, "bench_c_p6m": null, "price_path": [0.015, 0.0096, 0.0089, 0.0096, 0.0082, 0.0085, 0.0057, 0.0071, 0.0096, 0.0107, 0.0171, 0.0178, 0.0171, 0.0171, 0.0143, 0.0114, 0.0114, 0.0107, 0.0103, 0.01, 0.005, 0.0071, 0.006, 0.0075, 0.0089, 0.0035, -0.0001, 0.0014, 0.0007, -0.0004, 0.0017, 0.0024, 0.0057, 0.0015, -0.0019, -0.0015, -0.0015, -0.0007, -0.0004, 0.0022, 0.0015, 0.0015, 0.0044, 0.003, 0.0063, 0.0078, 0.0104, 0.0126, 0.0107, 0.0133, 0.0126, 0.0163, 0.0163, 0.0163, 0.0082, 0.0104, 0.0059, -0.003, -0.0078, -0.0193, -0.0133, -0.0148, -0.0052, 0.0, -0.0026, 0.0007, 0.0037, 0.0007, -0.0074, -0.007, -0.0059, -0.0063, -0.0063, -0.0063, -0.003, 0.0033, 0.0048, 0.0037, 0.0037, 0.0044, 0.0033, 0.0041, 0.0033, 0.0126, 0.0174, 0.0156, 0.0182, 0.0178, 0.0174, 0.017, 0.0207, 0.0256, 0.0333, 0.0274, 0.0256, 0.0319, 0.0219, 0.0256, 0.0211, 0.0245, 0.0263, 0.0304, 0.0315, 0.0367, 0.0293, 0.0274, 0.0322, 0.0322, 0.0311, 0.0282, 0.02, 0.0182, 0.0167, 0.0144, 0.0122, 0.0111, 0.0141, 0.0137, 0.0122, 0.0178, 0.0182, 0.02, 0.0182, 0.017, 0.02, 0.023, 0.0137, 0.0156, 0.0182, 0.0189, 0.0133, 0.0156, 0.013, 0.0133, 0.017, 0.0193, 0.0233, 0.0289, 0.0263, 0.0296, 0.0274, 0.0274, 0.0289, 0.0289, 0.0282, 0.0282, 0.0263, 0.0248, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null]}
{"unit_id": "quote:1760864692560371861", "ticker_idx": 0, "ts": "2024-02-23T03:10:32+00:00", "symbol": "SOFI", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "CEO Anthony Noto made a convincing case that SoFi has a good shot at becoming one of the few \"digital wallets\" that we believe will dominate the US financial services industry during the next five to ten years", "tweet_type": "prediction", "timeline": "years", "summary": "Bullish SOFI: Cathie Wood endorses Noto's thesis that SoFi could become a dominant US digital wallet over the next 5–10 years.", "resolved_tickers": ["SOFI"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLF", "bench_c_reason": "industry='Credit Services'", "bench_c_industry": "Credit Services", "unit_kind": "quote", "lang": "en", "tweet_text": "In our FYI podcast, CEO Anthony Noto made a convincing case that SoFi has a good shot at becoming one of the few “digital wallets” that we believe will dominate the US financial services industry during the next five to ten years.", "reply_text": null, "parent_text": null, "quoted_text": "\"Building trust is the only thing standing between us and being the best. We won't stop until we're there.\" – Anthony Noto, @SoFi CEO\n\n@anthonynoto joined @CathieDWood &amp; @andrewkimARK to discuss the evolution of financial markets &amp; all things SoFi. Listen. https://t.co/cwUphJ3s8t", "parent_author": null, "ret_m1d": -0.0012240182115607068, "ret_signed_m1d": -0.0012240182115607068, "alpha_spy_m1d": -0.0005348776126771204, "alpha_c_m1d": 0.0037386554239612346, "bench_spy_m1d": -0.0006891405988835864, "bench_c_m1d": -0.004962673635521941, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.04528762326853242, "ret_signed_p1d": 0.04528762326853242, "alpha_spy_p1d": 0.04895017616737474, "alpha_c_p1d": 0.05025029690405436, "bench_spy_p1d": -0.0036625528988423195, "bench_c_p1d": -0.004962673635521941, "ret_p1w": 0.10036715877194768, "ret_signed_p1w": 0.10036715877194768, "alpha_spy_p1w": 0.09052172854408358, "alpha_c_p1w": 0.10061515527667653, "bench_spy_p1w": 0.009845430227864105, "bench_c_p1w": -0.0002479965047288424, "ret_p1m": -0.08812732684274505, "ret_signed_p1m": -0.08812732684274505, "alpha_spy_p1m": -0.11477874815432398, "alpha_c_p1m": -0.11580338402950441, "bench_spy_p1m": 0.026651421311578938, "bench_c_p1m": 0.027676057186759362, "ret_p3m": -0.14075888428743955, "ret_signed_p3m": -0.14075888428743955, "alpha_spy_p3m": -0.18728096870898436, "alpha_c_p3m": -0.18537189754883465, "bench_spy_p3m": 0.04652208442154482, "bench_c_p3m": 0.04461301326139511, "ret_p6m": -0.08690330863118434, "ret_signed_p6m": -0.08690330863118434, "alpha_spy_p6m": -0.19581271538492273, "alpha_c_p6m": -0.1874148908322273, "bench_spy_p6m": 0.10890940675373839, "bench_c_p6m": 0.10051158220104295, "price_path": [-0.1016, -0.1004, -0.1077, -0.0416, -0.0257, -0.022, -0.0343, -0.0257, -0.0049, -0.0122, -0.0269, 0.0942, 0.1591, 0.1444, 0.1824, 0.2166, 0.1395, 0.1799, 0.1885, 0.1885, 0.2191, 0.2632, 0.2583, 0.2179, 0.2179, 0.1812, 0.0171, 0.0306, 0.0061, 0.0441, 0.0184, 0.0379, 0.0, -0.0343, -0.0343, -0.0551, -0.0783, -0.093, -0.0832, -0.0306, -0.0514, -0.0747, -0.0636, -0.0673, 0.1212, 0.0282, -0.0416, -0.0539, -0.0355, -0.0722, -0.0453, -0.0624, -0.011, -0.0049, 0.0196, -0.0184, 0.0306, 0.0441, 0.0233, 0.0233, 0.0416, -0.0073, -0.0012, 0.0, 0.0453, 0.12, 0.0845, 0.0991, 0.1004, 0.0502, -0.1102, -0.0942, -0.0857, -0.0563, -0.06, -0.0845, -0.0967, -0.1371, -0.1395, -0.1334, -0.153, -0.0991, -0.0894, -0.1065, -0.0881, -0.1187, -0.0991, -0.1065, -0.1065, -0.1163, -0.1187, -0.0771, -0.1053, -0.0942, -0.0502, -0.0343, -0.0747, -0.0649, -0.1028, -0.1285, -0.1187, -0.1236, -0.1273, -0.1297, -0.1126, -0.0722, -0.0698, -0.071, -0.0367, -0.1377, -0.1701, -0.153, -0.1444, -0.1481, -0.1236, -0.1359, -0.1371, -0.1359, -0.1506, -0.1297, -0.0857, -0.1102, -0.1285, -0.1089, -0.12, -0.1334, -0.1408, -0.164, -0.153, -0.153, -0.1567, -0.1616, -0.1542, -0.1554, -0.1714, -0.1775, -0.1542, -0.1334, -0.1444, -0.1395, -0.1432, -0.1346, -0.1677, -0.2093, -0.2093, -0.2142, -0.2142, -0.2264, -0.2264, -0.1995, -0.2105, -0.2093, -0.1995, -0.1909, -0.213, -0.2105, -0.202, -0.202, -0.2081, -0.2228, -0.2191, -0.1958, -0.1714, -0.1469, -0.1028, -0.0514, -0.0404, -0.0783, -0.0857, -0.0771, -0.0906, -0.131, -0.1102, -0.093, -0.1028, -0.0918, -0.0771, -0.1236, -0.186, -0.1995, -0.213, -0.2264, -0.1873, -0.1873, -0.2069, -0.1873, -0.1909, -0.1542, -0.1432, -0.0869]}
{"unit_id": "thread:1123015716146491396", "ticker_idx": 0, "ts": "2019-04-30T00:06:26+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Traditional #auto manufacturers already are seven years behind $TSLA in #battery technology... 3-4 years behind on chip technology... $TSLA has collected 10 billion miles of driving data", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish TSLA: OEMs 7 years behind on battery tech, 3-4 years behind on chips, and 10B vs 15M miles of driving data makes TSLA the dominant AI play.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "self_thread", "lang": "en", "tweet_text": "Truth will win out.  Traditional #auto manufacturers already are seven years behind $TSLA in #battery technology.  After analyzing the specs of #Tesla’s new #AI chip, and @jwangARK concluded that they are 3-4 years behind on chip technology.\n\n---\n\nFinally, after discovering that $TSLA has collected 10 billion miles of driving data, compared to $GOOG’s 15 million miles, well what more is there to say about an AI project?", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.011646840537921088, "ret_signed_m1d": 0.011646840537921088, "alpha_spy_m1d": 0.012157265183573518, "alpha_c_m1d": 0.01014781844655599, "bench_spy_m1d": -0.0005104246456524297, "bench_c_m1d": 0.0014990220913650987, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.019607038171323476, "ret_signed_p1d": -0.019607038171323476, "alpha_spy_p1d": -0.012090315139027807, "alpha_c_p1d": -0.007447295401104115, "bench_spy_p1d": -0.007516723032295669, "bench_c_p1d": -0.012159742770219362, "ret_p1w": 0.035066378330925296, "ret_signed_p1w": 0.035066378330925296, "alpha_spy_p1w": 0.05577959480351535, "alpha_c_p1w": 0.05597103724906749, "bench_spy_p1w": -0.020713216472590057, "bench_c_p1w": -0.020904658918142194, "ret_p1m": -0.20457499954601688, "ret_signed_p1m": -0.20457499954601688, "alpha_spy_p1m": -0.15100696996489227, "alpha_c_p1m": -0.13469894560640727, "bench_spy_p1m": -0.05356802958112461, "bench_c_p1m": -0.0698760539396096, "ret_p3m": -0.04461854357288397, "ret_signed_p3m": -0.04461854357288397, "alpha_spy_p3m": -0.07678935309024115, "alpha_c_p3m": -0.0771493743700461, "bench_spy_p3m": 0.03217080951735718, "bench_c_p3m": 0.032530830797162125, "ret_p6m": 0.06699059388848161, "ret_signed_p6m": 0.06699059388848161, "alpha_spy_p6m": 0.037366837918932916, "alpha_c_p6m": 0.05023629187584766, "bench_spy_p6m": 0.029623755969548693, "bench_c_p6m": 0.016754302012633948, "price_path": [0.2863, 0.308, 0.3109, 0.3463, 0.329, 0.2883, 0.2812, 0.3107, 0.3063, 0.2911, 0.2727, 0.2899, 0.2899, 0.2805, 0.2676, 0.2201, 0.2347, 0.2517, 0.2479, 0.3186, 0.3401, 0.235, 0.1955, 0.1586, 0.1573, 0.1588, 0.1904, 0.2188, 0.1871, 0.2106, 0.2148, 0.1539, 0.129, 0.1206, 0.1463, 0.148, 0.1083, 0.091, 0.1218, 0.1514, 0.1673, 0.1725, 0.2115, 0.1977, 0.2225, 0.1219, 0.152, 0.1446, 0.1409, 0.1566, 0.1246, 0.1215, 0.116, 0.1453, 0.1363, 0.1448, 0.1448, 0.1008, 0.1056, 0.0837, 0.0375, -0.0149, 0.0116, 0.0, -0.0196, 0.0227, 0.0685, 0.0698, 0.0351, 0.0258, 0.0138, 0.0035, -0.0489, -0.0267, -0.0282, -0.0434, -0.1159, -0.1396, -0.1408, -0.1926, -0.181, -0.2013, -0.2013, -0.2094, -0.2046, -0.2114, -0.2243, -0.2502, -0.1889, -0.1764, -0.1372, -0.1432, -0.1081, -0.0905, -0.1233, -0.1038, -0.0996, -0.0572, -0.0584, -0.0514, -0.0799, -0.0705, -0.0631, -0.0793, -0.0814, -0.0664, -0.0638, -0.0483, -0.0592, -0.0159, -0.0159, -0.0234, -0.035, -0.0362, 0.001, -0.0004, 0.0268, 0.062, 0.0574, 0.0677, 0.0622, 0.0817, 0.0712, 0.09, 0.1097, -0.0414, -0.0446, -0.0122, 0.015, 0.0122, -0.0203, -0.0182, -0.0434, -0.0333, -0.0221, -0.0016, -0.0154, -0.0406, -0.0155, -0.0799, -0.0966, -0.0786, -0.0497, -0.0538, -0.0748, -0.0693, -0.1143, -0.0993, -0.1031, -0.0968, -0.0711, -0.0548, -0.0548, -0.0573, -0.0755, -0.0382, -0.0471, -0.0289, -0.0132, 0.0352, 0.0301, 0.0273, 0.0173, 0.0256, 0.0201, 0.0331, 0.0081, 0.0106, -0.0649, -0.0419, 0.0162, 0.0144, 0.0091, 0.0251, 0.0186, -0.0237, -0.0304, -0.0041, 0.0057, 0.0245, 0.0253, 0.0385, 0.0765, 0.0804, 0.0882, 0.0975, 0.0765, 0.062, 0.0708, 0.067]}
{"unit_id": "quote:1938961940501667967", "ticker_idx": 0, "ts": "2025-06-28T14:05:25+00:00", "symbol": "crypto", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": false, "explicit_audit": "kept_implicit_alias_present", "polarity_reversed": false, "quote": "directive could bolster both crypto and housing significantly", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Counting crypto as mortgage assets bullish for both crypto broadly and US housing; ramifications underappreciated.", "resolved_tickers": ["BTC-USD", "ETH-USD"], "resolution_method": "basket", "resolution_reason": "Broad crypto; BTC and ETH as primary proxies", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": ".@Pulte’s directive could bolster both crypto and housing significantly. I do not believe that the ramifications of this move are well-understood. Find @GrousARK’s early analysis in our ARK Disrupt newsletter on Monday at https://t.co/4GzS1p9lDa.", "reply_text": null, "parent_text": null, "quoted_text": "After significant studying, and in keeping with President Trump’s vision to make the United States the crypto capital of the world, today I ordered the Great Fannie Mae and Freddie Mac to prepare their businesses to count cryptocurrency as an asset for a mortgage.\n\nSO ORDERED https://t.co/Tg9ReJQXC3", "parent_author": null, "ret_m1d": -0.012806546324127865, "ret_signed_m1d": -0.012806546324127865, "alpha_spy_m1d": -0.008048191033599494, "alpha_c_m1d": null, "bench_spy_m1d": -0.004758355290528371, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.022928883119285037, "ret_signed_p1d": -0.022928883119285037, "alpha_spy_p1d": -0.022605303403110677, "alpha_c_p1d": null, "bench_spy_p1d": -0.0003235797161743603, "bench_c_p1d": null, "ret_p1w": 0.01680612071405918, "ret_signed_p1w": 0.01680612071405918, "alpha_spy_p1w": 0.012225694417708044, "alpha_c_p1w": null, "bench_spy_p1w": 0.004580426296351137, "bench_c_p1w": null, "ret_p1m": 0.313163069007633, "ret_signed_p1m": 0.313163069007633, "alpha_spy_p1m": 0.2849846355160166, "alpha_c_p1m": null, "bench_spy_p1m": 0.028178433491616417, "bench_c_p1m": null, "ret_p3m": 0.2868108395350153, "ret_signed_p3m": 0.2868108395350153, "alpha_spy_p3m": 0.21879364597536743, "alpha_c_p3m": null, "bench_spy_p3m": 0.06801719355964786, "bench_c_p3m": null, "ret_p6m": 0.003861805224563253, "ret_signed_p6m": 0.003861805224563253, "alpha_spy_p6m": -0.11599877654945068, "alpha_c_p6m": null, "bench_spy_p6m": 0.11986058177401393, "bench_c_p6m": null, "price_path": [-0.254, -0.2471, -0.2437, -0.3175, -0.3479, -0.2792, -0.3222, -0.2956, -0.2791, -0.2901, -0.2905, -0.2856, -0.2864, -0.2739, -0.2105, -0.2015, -0.2057, -0.1987, -0.195, -0.1982, -0.1996, -0.1798, -0.1772, -0.1919, -0.1832, -0.1829, -0.0745, -0.0478, -0.0182, 0.0251, 0.0081, -0.0037, -0.007, 0.0015, 0.006, 0.0251, 0.0569, 0.0088, 0.0264, 0.0442, 0.0425, 0.0224, -0.0059, 0.0184, 0.0135, 0.0134, -0.0401, -0.0147, 0.054, 0.0803, 0.065, 0.0276, 0.0138, 0.0093, -0.0069, -0.0029, -0.0044, -0.0338, -0.0203, -0.0128, -0.0124, -0.015, -0.0128, 0.0, -0.0229, 0.0251, 0.0327, 0.0086, 0.0168, 0.0344, 0.0767, 0.1355, 0.1432, 0.1653, 0.1811, 0.2321, 0.2559, 0.2644, 0.3049, 0.3139, 0.2841, 0.2981, 0.2985, 0.312, 0.3132, 0.3157, 0.2836, 0.2303, 0.2849, 0.259, 0.2776, 0.3355, 0.3509, 0.4041, 0.484, 0.5321, 0.467, 0.4407, 0.4097, 0.3457, 0.4049, 0.3739, 0.517, 0.3933, 0.4469, 0.4247, 0.4316, 0.3827, 0.3775, 0.3888, 0.4163, 0.3812, 0.3825, 0.3893, 0.387, 0.4064, 0.4362, 0.49, 0.4491, 0.4509, 0.4671, 0.4697, 0.439, 0.3713, 0.3604, 0.3641, 0.2868, 0.3236, 0.382, 0.366, 0.4287, 0.4657, 0.4785, 0.5249, 0.4619, 0.4862, 0.4466, 0.3012, 0.3917, 0.3575, 0.3189, 0.2881, 0.2676, 0.3166, 0.2858, 0.2684, 0.2891, 0.3094, 0.3611, 0.328, 0.2985, 0.2705, 0.2849, 0.2216, 0.1362, 0.1736, 0.1388, 0.1732, 0.2123, 0.1675, 0.1608, 0.1154, 0.0647, 0.038, 0.0618, 0.0348, -0.0263, -0.0467, 0.0057, 0.0024, 0.0313, 0.0322, 0.0341, -0.0341, 0.0292, 0.0783, 0.0603, 0.0254, 0.0515, 0.1004, 0.0982, 0.0827, 0.0415, -0.0006, 0.006, -0.0286, -0.0327, 0.01, 0.0175, 0.0039]}
{"unit_id": "quote:1938961940501667967", "ticker_idx": 1, "ts": "2025-06-28T14:05:25+00:00", "symbol": "housing", "kind": "sector", "geography": "US", "sub_sector": null, "direction": "long", "conviction": "low", "explicit": false, "explicit_audit": "kept_implicit_alias_present", "polarity_reversed": false, "quote": "directive could bolster both crypto and housing significantly", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Counting crypto as mortgage assets bullish for both crypto broadly and US housing; ramifications underappreciated.", "resolved_tickers": ["ITB"], "resolution_method": "etf", "resolution_reason": "US housing sector; ITB is homebuilders ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": ".@Pulte’s directive could bolster both crypto and housing significantly. I do not believe that the ramifications of this move are well-understood. Find @GrousARK’s early analysis in our ARK Disrupt newsletter on Monday at https://t.co/4GzS1p9lDa.", "reply_text": null, "parent_text": null, "quoted_text": "After significant studying, and in keeping with President Trump’s vision to make the United States the crypto capital of the world, today I ordered the Great Fannie Mae and Freddie Mac to prepare their businesses to count cryptocurrency as an asset for a mortgage.\n\nSO ORDERED https://t.co/Tg9ReJQXC3", "parent_author": null, "ret_m1d": 0.0003219551174984403, "ret_signed_m1d": 0.0003219551174984403, "alpha_spy_m1d": 0.005080310408026811, "alpha_c_m1d": 0.005080310408026811, "bench_spy_m1d": -0.004758355290528371, "bench_c_m1d": -0.004758355290528371, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.042502929931442335, "ret_signed_p1d": 0.042502929931442335, "alpha_spy_p1d": 0.042826509647616695, "alpha_c_p1d": 0.042826509647616695, "bench_spy_p1d": -0.0003235797161743603, "bench_c_p1d": -0.0003235797161743603, "ret_p1w": 0.020714804537946163, "ret_signed_p1w": 0.020714804537946163, "alpha_spy_p1w": 0.016134378241595027, "alpha_c_p1w": 0.016134378241595027, "bench_spy_p1w": 0.004580426296351137, "bench_c_p1w": 0.004580426296351137, "ret_p1m": 0.08049799454790851, "ret_signed_p1m": 0.08049799454790851, "alpha_spy_p1m": 0.052319561056292097, "alpha_c_p1m": 0.052319561056292097, "bench_spy_p1m": 0.028178433491616417, "bench_c_p1m": 0.028178433491616417, "ret_p3m": 0.13369315842495566, "ret_signed_p3m": 0.13369315842495566, "alpha_spy_p3m": 0.0656759648653078, "alpha_c_p3m": 0.0656759648653078, "bench_spy_p3m": 0.06801719355964786, "bench_c_p3m": 0.06801719355964786, "ret_p6m": 0.04516455172954004, "ret_signed_p6m": 0.04516455172954004, "alpha_spy_p6m": -0.0746960300444739, "alpha_c_p6m": -0.0746960300444739, "bench_spy_p6m": 0.11986058177401393, "bench_c_p6m": 0.11986058177401393, "price_path": [0.0294, -0.0329, -0.0138, -0.0545, -0.0887, -0.0303, -0.0591, -0.0491, -0.0413, -0.0503, -0.07, -0.0509, -0.0509, -0.0678, -0.0342, -0.0356, -0.0181, -0.0276, -0.026, -0.0241, -0.0187, -0.0211, -0.002, -0.0102, -0.0309, -0.029, -0.012, -0.0192, 0.0228, 0.0244, -0.0063, 0.0022, 0.0168, 0.0072, -0.0074, -0.0351, -0.0394, -0.0438, -0.0438, -0.0243, -0.0511, -0.0441, -0.0465, -0.057, -0.0416, -0.0216, -0.0224, -0.0339, -0.0229, 0.0034, -0.0146, -0.0086, -0.0377, -0.0313, -0.0586, -0.0583, -0.0583, -0.0379, -0.007, 0.0008, -0.0144, -0.0098, 0.0003, 0.0, 0.0425, 0.0526, 0.0342, 0.0342, 0.0207, 0.0278, 0.0648, 0.0758, 0.0599, 0.0521, 0.0108, 0.02, 0.027, 0.0205, 0.0176, 0.0978, 0.0952, 0.0707, 0.0779, 0.0805, 0.0805, 0.0537, 0.0455, 0.0734, 0.0952, 0.1118, 0.1052, 0.1088, 0.1147, 0.1074, 0.1426, 0.1935, 0.1751, 0.1766, 0.1709, 0.1921, 0.1604, 0.1514, 0.212, 0.1971, 0.1901, 0.189, 0.1882, 0.1882, 0.1882, 0.1826, 0.1898, 0.2254, 0.2525, 0.2573, 0.2173, 0.2107, 0.2441, 0.2201, 0.2038, 0.1992, 0.1865, 0.1895, 0.1695, 0.1463, 0.1501, 0.1512, 0.1337, 0.1491, 0.1557, 0.1525, 0.162, 0.1634, 0.1739, 0.1498, 0.1148, 0.1153, 0.0863, 0.0729, 0.0772, 0.111, 0.1107, 0.1045, 0.1122, 0.1163, 0.1358, 0.1156, 0.1223, 0.1173, 0.1193, 0.1149, 0.0818, 0.0772, 0.0791, 0.0606, 0.0621, 0.0562, 0.0508, 0.0604, 0.0621, 0.0717, 0.0685, 0.0508, 0.0435, 0.0111, 0.0081, 0.0082, 0.0078, 0.058, 0.0526, 0.1024, 0.1164, 0.1164, 0.1166, 0.1137, 0.1118, 0.1347, 0.1105, 0.1037, 0.0809, 0.064, 0.0979, 0.1049, 0.1018, 0.0992, 0.0876, 0.075, 0.0752, 0.0568, 0.0525, 0.0452]}
{"unit_id": "reply:878800337494257664", "ticker_idx": 1, "ts": "2017-06-25T02:21:42+00:00", "symbol": "GOOG", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$FB, $GOOG, $AMZN, and other centralized data aggregators should be disintermediated by #blockchain technology longer run...say 5-10 years", "tweet_type": "prediction", "timeline": "years", "summary": "Bearish on FB, GOOG, AMZN over 5-10 years as blockchain disintermediates centralized data aggregators.", "resolved_tickers": ["GOOG"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLC", "bench_c_reason": "industry='Internet Content & Information'", "bench_c_industry": "Internet Content & Information", "unit_kind": "reply_other", "lang": "en", "tweet_text": "@DelRayMan @coindesk $FB, $GOOG, $AMZN, and other centralized data aggregators should be disintermediated by #blockchain technology longer run...say 5-10 years.", "reply_text": null, "parent_text": "Entirely new business models will be required if blockchain moves ID from Google and Facebook: https://t.co/9Z84a0Ma9V via @coindesk https://t.co/WFROfct10t", "quoted_text": null, "parent_author": "DelRayMan", "ret_m1d": 0.013987692200819746, "ret_signed_m1d": -0.013987692200819746, "alpha_spy_m1d": -0.014645132817751594, "alpha_c_m1d": null, "bench_spy_m1d": -0.0006574406169318481, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.026190079043098335, "ret_signed_p1d": 0.026190079043098335, "alpha_spy_p1d": 0.018134020246285187, "alpha_c_p1d": null, "bench_spy_p1d": -0.008056058796813148, "bench_c_p1d": null, "ret_p1w": -0.0562550510078591, "ret_signed_p1w": 0.0562550510078591, "alpha_spy_p1w": 0.051815923286307575, "alpha_c_p1w": null, "bench_spy_p1w": -0.004439127721551528, "bench_c_p1w": null, "ret_p1m": -0.0016487943615304257, "ret_signed_p1m": 0.0016487943615304257, "alpha_spy_p1m": 0.01862442356905314, "alpha_c_p1m": null, "bench_spy_p1m": 0.016975629207522713, "bench_c_p1m": null, "ret_p3m": -0.02081340360284023, "ret_signed_p3m": 0.02081340360284023, "alpha_spy_p3m": 0.05097361786485344, "alpha_c_p3m": null, "bench_spy_p3m": 0.030160214262013207, "bench_c_p3m": null, "ret_p6m": 0.1243448784749217, "ret_signed_p6m": -0.1243448784749217, "alpha_spy_p6m": -0.015099538824860925, "alpha_c_p6m": null, "bench_spy_p6m": 0.10924533965006078, "bench_c_p6m": null, "price_path": [-0.1269, -0.1268, -0.1289, -0.1194, -0.1236, -0.1269, -0.1306, -0.134, -0.1339, -0.1354, -0.1344, -0.1352, -0.1352, -0.1209, -0.1212, -0.1198, -0.1162, -0.1145, -0.094, -0.084, -0.0846, -0.0819, -0.0486, -0.0417, -0.0376, -0.0265, -0.0216, -0.0264, -0.0189, -0.0211, -0.0247, -0.0228, -0.0211, -0.016, -0.0097, -0.0343, -0.0231, -0.0192, -0.0109, -0.0036, 0.0028, 0.0181, 0.0202, 0.0202, 0.0248, 0.0132, 0.0154, 0.0245, 0.033, 0.0255, 0.0301, 0.0327, -0.0026, -0.0098, 0.0012, -0.0016, -0.0105, -0.0131, 0.0054, -0.0017, 0.0075, 0.0051, 0.014, 0.0, -0.0262, -0.0124, -0.0362, -0.0457, -0.0563, -0.0563, -0.0426, -0.0479, -0.0354, -0.0246, -0.0233, -0.0089, -0.0054, 0.0039, 0.0012, 0.0138, 0.0196, 0.0167, 0.0217, 0.0295, -0.0016, -0.0047, -0.0191, -0.0113, -0.0229, -0.0225, -0.023, -0.0301, -0.0255, -0.0241, -0.0268, -0.0308, -0.0473, -0.0398, -0.0311, -0.0316, -0.0266, -0.0434, -0.0437, -0.0479, -0.029, -0.0265, -0.0325, -0.0382, -0.0404, -0.0325, -0.0238, -0.0136, -0.0157, -0.0157, -0.025, -0.0257, -0.0171, -0.0271, -0.0244, -0.0212, -0.018, -0.0285, -0.0336, -0.0391, -0.032, -0.0217, -0.0208, -0.0249, -0.0329, -0.0288, -0.0082, -0.0029, 0.0072, 0.0011, 0.0058, -0.0006, 0.0186, 0.028, 0.026, 0.0213, 0.0388, 0.0373, 0.0393, 0.0417, 0.0419, 0.0426, 0.0338, 0.0377, 0.017, 0.0192, 0.0221, 0.0213, 0.0704, 0.0681, 0.0676, 0.0769, 0.077, 0.0842, 0.0773, 0.0851, 0.092, 0.0829, 0.0796, 0.0772, 0.0774, 0.0721, 0.0843, 0.0702, 0.0694, 0.0863, 0.0879, 0.0879, 0.0928, 0.107, 0.0999, 0.0729, 0.0726, 0.0608, 0.0487, 0.0555, 0.0694, 0.0826, 0.089, 0.0933, 0.0926, 0.0928, 0.1017, 0.1175, 0.1311, 0.1243]}
{"unit_id": "reply:878800337494257664", "ticker_idx": 2, "ts": "2017-06-25T02:21:42+00:00", "symbol": "AMZN", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$FB, $GOOG, $AMZN, and other centralized data aggregators should be disintermediated by #blockchain technology longer run...say 5-10 years", "tweet_type": "prediction", "timeline": "years", "summary": "Bearish on FB, GOOG, AMZN over 5-10 years as blockchain disintermediates centralized data aggregators.", "resolved_tickers": ["AMZN"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Internet Retail'", "bench_c_industry": "Internet Retail", "unit_kind": "reply_other", "lang": "en", "tweet_text": "@DelRayMan @coindesk $FB, $GOOG, $AMZN, and other centralized data aggregators should be disintermediated by #blockchain technology longer run...say 5-10 years.", "reply_text": null, "parent_text": "Entirely new business models will be required if blockchain moves ID from Google and Facebook: https://t.co/9Z84a0Ma9V via @coindesk https://t.co/WFROfct10t", "quoted_text": null, "parent_author": "DelRayMan", "ret_m1d": 0.009819089911611512, "ret_signed_m1d": -0.009819089911611512, "alpha_spy_m1d": -0.01047653052854336, "alpha_c_m1d": -0.01338113309639788, "bench_spy_m1d": -0.0006574406169318481, "bench_c_m1d": -0.0035620431847863676, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.017304182934144485, "ret_signed_p1d": 0.017304182934144485, "alpha_spy_p1d": 0.009248124137331337, "alpha_c_p1d": 0.009400925653520353, "bench_spy_p1d": -0.008056058796813148, "bench_c_p1d": -0.007903257280624132, "ret_p1w": -0.040564248813831694, "ret_signed_p1w": 0.040564248813831694, "alpha_spy_p1w": 0.036125121092280166, "alpha_c_p1w": 0.0372249316848835, "bench_spy_p1w": -0.004439127721551528, "bench_c_p1w": -0.0033393171289481938, "ret_p1m": 0.046167898408809416, "ret_signed_p1m": -0.046167898408809416, "alpha_spy_p1m": -0.029192269201286702, "alpha_c_p1m": -0.02813588213999485, "bench_spy_p1m": 0.016975629207522713, "bench_c_p1m": 0.018032016268814566, "ret_p3m": -0.029507698436364804, "ret_signed_p3m": 0.029507698436364804, "alpha_spy_p3m": 0.05966791269837801, "alpha_c_p3m": 0.028018970078098393, "bench_spy_p3m": 0.030160214262013207, "bench_c_p3m": -0.0014887283582664113, "ret_p6m": 0.19457127736208002, "ret_signed_p6m": -0.19457127736208002, "alpha_spy_p6m": -0.08532593771201924, "alpha_c_p6m": -0.08808841245700427, "bench_spy_p6m": 0.10924533965006078, "bench_c_p6m": 0.10648286490507575, "price_path": [-0.1204, -0.1184, -0.1081, -0.1031, -0.0877, -0.0852, -0.0963, -0.0997, -0.0875, -0.0922, -0.0983, -0.11, -0.11, -0.0925, -0.0907, -0.0954, -0.0925, -0.096, -0.0871, -0.0869, -0.0852, -0.0761, -0.0694, -0.046, -0.0473, -0.0533, -0.0568, -0.0602, -0.0452, -0.0414, -0.0453, -0.0466, -0.0328, -0.0362, -0.0281, -0.0495, -0.0357, -0.0343, -0.0235, -0.0226, -0.0137, -0.0006, 0.0018, 0.0018, 0.0027, 0.0006, 0.002, 0.0128, 0.0175, 0.0091, 0.0162, 0.0164, -0.0158, -0.0292, -0.0133, -0.0176, -0.03, -0.0063, 0.0012, -0.0014, 0.0083, 0.0074, 0.0098, 0.0, -0.0173, -0.0037, -0.0182, -0.0261, -0.0406, -0.0406, -0.0227, -0.029, -0.0153, 0.0025, 0.0002, 0.0126, 0.0067, 0.0079, 0.0162, 0.0307, 0.0331, 0.0349, 0.0319, 0.0452, 0.0462, 0.0592, 0.0523, 0.0262, -0.0062, 0.0022, 0.0019, -0.0071, -0.0064, -0.0017, -0.0042, -0.012, -0.0373, -0.0261, -0.0107, -0.0113, -0.0159, -0.0336, -0.0357, -0.0409, -0.0272, -0.0362, -0.0418, -0.049, -0.0483, -0.0402, -0.0265, -0.0135, -0.0158, -0.0158, -0.0289, -0.0263, -0.0146, -0.0283, -0.0161, -0.0115, 0.0057, -0.0018, -0.0072, -0.0199, -0.0243, -0.0209, -0.0295, -0.0391, -0.0545, -0.0557, -0.0434, -0.0378, -0.0328, -0.035, -0.0371, -0.0287, -0.0132, -0.0044, -0.003, -0.0068, 0.001, 0.007, 0.009, 0.0124, 0.0152, 0.003, -0.0074, -0.0111, -0.0278, -0.0182, -0.0212, -0.0217, 0.1076, 0.1176, 0.112, 0.1104, 0.1008, 0.1183, 0.1274, 0.13, 0.1397, 0.136, 0.1322, 0.136, 0.1437, 0.1335, 0.1442, 0.1367, 0.1331, 0.1464, 0.1632, 0.1632, 0.1932, 0.2031, 0.2008, 0.1683, 0.1839, 0.1694, 0.1408, 0.1485, 0.1593, 0.1668, 0.169, 0.176, 0.1721, 0.1712, 0.1814, 0.1863, 0.1978, 0.1946]}
{"unit_id": "thread:1227953683117330439", "ticker_idx": 0, "ts": "2020-02-13T13:52:26+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Tesla's capital raise increases our confidence that it will gain market share in the #EV market during the next 5 years, increasing the probability that our bull case for the stock is correct", "tweet_type": "analysis", "timeline": "years", "summary": "ARKInvest bullish TSLA: capital raise boosts confidence in market-share gains and bull-case scenario over 5 years.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "self_thread", "lang": "en", "tweet_text": ".@ARKInvest included $15B of equity dilution in its 5 year forecast for $TSLA, so $2 billion+ now makes sense. We wouldn’t be surprised if Elon announces plans for another #Gigafactory in China, a vote of confidence in the resilience of that country.\n\n---\n\n.#Tesla’s capital raise increases our confidence that it will gain market share in the #EV market during the next 5 years, increasing the probability that our bull case for the stock is correct.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.04565915195007186, "ret_signed_m1d": -0.04565915195007186, "alpha_spy_m1d": -0.04672736755247919, "alpha_c_m1d": -0.04740322085269233, "bench_spy_m1d": 0.0010682156024073297, "bench_c_m1d": 0.0017440689026204659, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.004937755668348531, "ret_signed_p1d": -0.004937755668348531, "alpha_spy_p1d": -0.006539880924008923, "alpha_c_p1d": -0.003421595846663128, "bench_spy_p1d": 0.0016021252556603915, "bench_c_p1d": -0.0015161598216854033, "ret_p1w": 0.11866918588522113, "ret_signed_p1w": 0.11866918588522113, "alpha_spy_p1w": 0.11899523833815406, "alpha_c_p1w": 0.11540895716091515, "bench_spy_p1w": -0.0003260524529329345, "bench_c_p1w": 0.00326022872430598, "ret_p1m": -0.3201243505940323, "ret_signed_p1m": -0.3201243505940323, "alpha_spy_p1m": -0.11915130545236252, "alpha_c_p1m": -0.09577077336116713, "bench_spy_p1m": -0.2009730451416698, "bench_c_p1m": -0.2243535772328652, "ret_p3m": 0.0067288841910542185, "ret_signed_p3m": 0.0067288841910542185, "alpha_spy_p3m": 0.15122609763642303, "alpha_c_p3m": 0.13482586960377463, "bench_spy_p3m": -0.1444972134453688, "bench_c_p3m": -0.1280969854127204, "ret_p6m": 0.8068533315759154, "ret_signed_p6m": 0.8068533315759154, "alpha_spy_p6m": 0.804010106630832, "alpha_c_p6m": 0.734825885342627, "bench_spy_p6m": 0.002843224945083378, "bench_c_p6m": 0.07202744623328838, "price_path": [-0.5647, -0.5528, -0.5619, -0.5587, -0.5858, -0.5817, -0.5909, -0.5879, -0.5879, -0.5896, -0.5835, -0.5818, -0.5858, -0.5891, -0.5822, -0.5777, -0.5661, -0.5613, -0.5526, -0.5542, -0.5255, -0.5286, -0.511, -0.4975, -0.4955, -0.4786, -0.4711, -0.4711, -0.464, -0.4647, -0.4842, -0.4797, -0.4797, -0.4649, -0.449, -0.4384, -0.4166, -0.3879, -0.4013, -0.4053, -0.3472, -0.3309, -0.3551, -0.3613, -0.365, -0.365, -0.3194, -0.2916, -0.2883, -0.2975, -0.3059, -0.2949, -0.2774, -0.203, -0.1908, -0.0299, 0.1033, -0.0862, -0.0685, -0.0696, -0.0407, -0.0368, -0.0457, 0.0, -0.0049, -0.0049, 0.0677, 0.1411, 0.1187, 0.1206, 0.0371, -0.0051, -0.0313, -0.1555, -0.1692, -0.0751, -0.0727, -0.0678, -0.0988, -0.125, -0.2438, -0.1974, -0.2112, -0.3028, -0.3201, -0.4464, -0.4649, -0.5507, -0.4681, -0.4682, -0.4598, -0.3719, -0.3293, -0.3431, -0.3602, -0.3755, -0.3483, -0.401, -0.4347, -0.403, -0.3579, -0.3216, -0.3174, -0.2873, -0.2873, -0.1904, -0.1171, -0.0923, -0.0731, -0.0623, -0.0717, -0.1459, -0.0894, -0.1224, -0.0981, -0.0065, -0.0434, -0.0043, -0.0275, -0.1277, -0.0532, -0.0445, -0.0266, -0.0298, 0.0192, 0.0091, 0.0067, -0.0162, -0.0008, -0.006, 0.012, 0.005, 0.0144, 0.0294, 0.016, 0.016, 0.0185, 0.0202, 0.0023, 0.0386, 0.117, 0.0965, 0.0982, 0.0751, 0.1016, 0.1815, 0.17, 0.2749, 0.21, 0.1633, 0.2325, 0.2216, 0.2336, 0.2487, 0.2449, 0.2367, 0.246, 0.1951, 0.2263, 0.1937, 0.2554, 0.343, 0.3926, 0.5033, 0.5033, 0.7059, 0.7287, 0.6989, 0.7342, 0.9212, 0.862, 0.8866, 0.9229, 0.8665, 0.8667, 1.0435, 0.9507, 0.9805, 0.8819, 0.7624, 0.9149, 0.8364, 0.8646, 0.8501, 0.7796, 0.847, 0.8495, 0.847, 0.8527, 0.8069]}
{"unit_id": "quote:825532510318772224", "ticker_idx": 0, "ts": "2017-01-29T02:34:22+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Isn't it impressive that #bitcoin's price trend still is up, even though China's exchanges are down from 90%+ of trading to less than 5%?", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish BTC: price trending up despite China exchange volumes collapsing from 90%+ to under 5%, showing resilience.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Isn't it impressive that #bitcoin's price trend still is up, even though China's exchanges are down from 90%+ of trading to less than 5%? https://t.co/14Em8q8IPS", "reply_text": null, "parent_text": null, "quoted_text": "#bitcoin trading volumes on 3 biggest Chinese exchanges have dropped 2 orders of magnitude post-China's actions 😮 https://t.co/w2siTE8Onl https://t.co/XnaSIiWBvi", "parent_author": null, "ret_m1d": -0.0006866920799104559, "ret_signed_m1d": -0.0006866920799104559, "alpha_spy_m1d": -0.006927144280468367, "alpha_c_m1d": null, "bench_spy_m1d": 0.006240452200557911, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.05434808053482265, "ret_signed_p1d": 0.05434808053482265, "alpha_spy_p1d": 0.054435767478298924, "alpha_c_p1d": null, "bench_spy_p1d": -8.768694347627282e-05, "bench_c_p1d": null, "ret_p1w": 0.12795556946402664, "ret_signed_p1w": 0.12795556946402664, "alpha_spy_p1w": 0.12189087948940935, "alpha_c_p1w": null, "bench_spy_p1w": 0.006064689974617288, "bench_c_p1w": null, "ret_p1m": 0.28204370173385285, "ret_signed_p1m": 0.28204370173385285, "alpha_spy_p1m": 0.2428431332677088, "alpha_c_p1m": null, "bench_spy_p1m": 0.03920056846614406, "bench_c_p1m": null, "ret_p3m": 0.4317206911961964, "ret_signed_p3m": 0.4317206911961964, "alpha_spy_p3m": 0.37859793700910593, "alpha_c_p3m": null, "bench_spy_p3m": 0.05312275418709045, "bench_c_p3m": null, "ret_p6m": 1.799359317284169, "ret_signed_p6m": 1.799359317284169, "alpha_spy_p6m": 1.7019819180385254, "alpha_c_p6m": null, "bench_spy_p6m": 0.0973773992456437, "bench_c_p6m": null, "price_path": [-0.1951, -0.2517, -0.2359, -0.236, -0.2287, -0.2142, -0.2226, -0.2216, -0.234, -0.2268, -0.1914, -0.1949, -0.1834, -0.1968, -0.1837, -0.191, -0.1957, -0.1942, -0.2005, -0.2008, -0.1898, -0.1778, -0.1548, -0.1757, -0.1697, -0.1654, -0.1625, -0.1604, -0.1524, -0.1519, -0.1509, -0.1546, -0.1472, -0.1387, -0.1298, -0.0935, -0.0607, 0.0017, -0.0139, 0.0139, 0.0603, 0.0577, 0.0444, 0.1101, 0.1341, 0.2546, 0.101, -0.0198, -0.0191, -0.0138, -0.155, -0.1255, -0.1047, -0.0965, -0.0135, -0.0367, -0.0232, -0.0275, 0.0007, -0.0301, -0.0205, -0.003, -0.0007, 0.0, 0.0543, 0.0746, 0.0993, 0.119, 0.128, 0.1532, 0.155, 0.0804, 0.0742, 0.0763, 0.0914, 0.0946, 0.1163, 0.1367, 0.1734, 0.2118, 0.2141, 0.2676, 0.2752, 0.282, 0.282, 0.3283, 0.3592, 0.3853, 0.3829, 0.3294, 0.2495, 0.2913, 0.2133, 0.3385, 0.3473, 0.3577, 0.2906, 0.1954, 0.1454, 0.2175, 0.1399, 0.1284, 0.0186, 0.1362, 0.1377, 0.1299, 0.1152, 0.1645, 0.2428, 0.2313, 0.2221, 0.285, 0.2787, 0.2898, 0.3092, 0.3042, 0.2704, 0.2685, 0.2972, 0.3165, 0.315, 0.3354, 0.3278, 0.3583, 0.375, 0.3919, 0.4317, 0.4304, 0.5446, 0.5785, 0.619, 0.6707, 0.69, 0.8724, 0.9072, 0.9417, 1.0085, 0.8734, 0.8888, 0.8845, 0.9982, 1.052, 1.1597, 1.3614, 1.5211, 1.655, 1.5044, 1.3929, 1.4507, 1.3637, 1.4842, 1.6162, 1.7038, 1.9192, 2.1109, 1.9685, 2.0483, 2.0681, 1.8897, 1.9521, 1.7232, 1.6778, 1.7364, 1.8136, 1.9572, 1.9217, 1.9394, 1.9824, 1.6928, 1.7733, 1.7975, 1.759, 1.6954, 1.7859, 1.8267, 1.8271, 1.8342, 1.7365, 1.5778, 1.54, 1.6064, 1.5619, 1.4265, 1.4212, 1.5195, 1.4701, 2.0613, 1.8985, 1.9932, 1.7994]}
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{"unit_id": "quote:1117962322327240705", "ticker_idx": 0, "ts": "2019-04-16T01:26:03+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "the Model 3 will generate cash flow of $10,000 per year at a minimum on an #autonomous taxi platform", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish TSLA: ARK research shows Model 3 generates $10K+/yr on autonomous taxi platform, endorsing Tesla as appreciating asset thesis.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": ".@ARKInvest’s research suggests that the Model 3 will generate cash flow of $10,000 per year at a minimum on an #autonomous taxi platform.  @TashaARK and @skorusARK have done the research.  We are happy to share it!", "reply_text": null, "parent_text": null, "quoted_text": "“Buying a car today is an investment into the future. I think the most profound thing is that if you buy a Tesla today, I believe you are buying an appreciating asset – not a depreciating asset (due to the self-driving AI).\"    \n\n@elonmusk", "parent_author": null, "ret_m1d": -0.025534126143098246, "ret_signed_m1d": -0.025534126143098246, "alpha_spy_m1d": -0.0248792597584907, "alpha_c_m1d": -0.021167333591037174, "bench_spy_m1d": -0.0006548663846075442, "bench_c_m1d": -0.004366792552061072, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.007791933226055425, "ret_signed_p1d": -0.007791933226055425, "alpha_spy_p1d": -0.0053452618129987695, "alpha_c_p1d": -0.009723529131140385, "bench_spy_p1d": -0.002446671413056656, "bench_c_p1d": 0.0019315959050849596, "ret_p1w": -0.03460648638748254, "ret_signed_p1w": -0.03460648638748254, "alpha_spy_p1w": -0.04398080119456138, "alpha_c_p1w": -0.04434775083972131, "bench_spy_p1w": 0.009374314807078843, "bench_c_p1w": 0.009741264452238774, "ret_p1m": -0.15148527545560397, "ret_signed_p1m": -0.15148527545560397, "alpha_spy_p1m": -0.13390861032151224, "alpha_c_p1m": -0.12335319730348626, "bench_spy_p1m": -0.01757666513409173, "bench_c_p1m": -0.028132078152117712, "ret_p3m": -0.10345335374229758, "ret_signed_p3m": -0.10345335374229758, "alpha_spy_p3m": -0.14464525492834246, "alpha_c_p3m": -0.14903457979062773, "bench_spy_p3m": 0.04119190118604488, "bench_c_p3m": 0.04558122604833015, "ret_p6m": -0.10546536363279568, "ret_signed_p6m": -0.10546536363279568, "alpha_spy_p6m": -0.11883110598321134, "alpha_c_p6m": -0.10691534055536167, "bench_spy_p6m": 0.013365742350415655, "bench_c_p6m": 0.0014499769225659875, "price_path": [0.2705, 0.1057, 0.1057, 0.0935, 0.0521, 0.0664, 0.0866, 0.0842, 0.0882, 0.1295, 0.1231, 0.1421, 0.1446, 0.1756, 0.1604, 0.1249, 0.1187, 0.1444, 0.1407, 0.1273, 0.1112, 0.1263, 0.1263, 0.1181, 0.1068, 0.0654, 0.0781, 0.093, 0.0896, 0.1514, 0.1702, 0.0784, 0.0439, 0.0116, 0.0105, 0.0118, 0.0394, 0.0642, 0.0366, 0.0571, 0.0607, 0.0076, -0.0142, -0.0215, 0.0009, 0.0024, -0.0323, -0.0473, -0.0204, 0.0054, 0.0192, 0.0238, 0.0579, 0.0458, 0.0675, -0.0204, 0.0059, -0.0006, -0.0038, 0.0099, -0.0181, -0.0207, -0.0255, 0.0, -0.0078, -0.0004, -0.0004, -0.0388, -0.0346, -0.0538, -0.0941, -0.1398, -0.1167, -0.1268, -0.1439, -0.107, -0.0671, -0.0659, -0.0962, -0.1043, -0.1148, -0.1238, -0.1696, -0.1502, -0.1515, -0.1647, -0.228, -0.2488, -0.2498, -0.295, -0.2849, -0.3026, -0.3026, -0.3097, -0.3055, -0.3115, -0.3227, -0.3453, -0.2918, -0.2808, -0.2466, -0.2519, -0.2212, -0.2058, -0.2345, -0.2175, -0.2138, -0.1768, -0.1779, -0.1717, -0.1966, -0.1884, -0.1819, -0.1961, -0.1979, -0.1848, -0.1825, -0.169, -0.1786, -0.1407, -0.1407, -0.1473, -0.1574, -0.1584, -0.126, -0.1272, -0.1035, -0.0727, -0.0767, -0.0677, -0.0725, -0.0555, -0.0647, -0.0483, -0.031, -0.1629, -0.1658, -0.1375, -0.1138, -0.1161, -0.1445, -0.1427, -0.1648, -0.1559, -0.1461, -0.1283, -0.1403, -0.1622, -0.1403, -0.1966, -0.2112, -0.1954, -0.1702, -0.1738, -0.1922, -0.1873, -0.2267, -0.2135, -0.2169, -0.2113, -0.1889, -0.1747, -0.1747, -0.1769, -0.1927, -0.1602, -0.1679, -0.1521, -0.1384, -0.0961, -0.1006, -0.103, -0.1118, -0.1045, -0.1093, -0.0979, -0.1198, -0.1175, -0.1835, -0.1634, -0.1127, -0.1142, -0.1189, -0.1049, -0.1106, -0.1475, -0.1534, -0.1304, -0.1219, -0.1055]}
{"unit_id": "quote:948019628504174592", "ticker_idx": 0, "ts": "2018-01-02T02:34:27+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "2014 has been the only significant year of negative price action in the life of #bitcoin", "tweet_type": "news_reaction", "timeline": "unspecified", "summary": "Endorses bullish BTC perspective, highlighting 2014 as the only major down year — implicitly bullish on continued performance.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Great perspective:  2014 has been the only significant year of negative price action in the life of #bitcoin. https://t.co/1UOtYsBwww", "reply_text": null, "parent_text": null, "quoted_text": "2017 another amazing year of $BTC performance.\nGreat work &amp; much accomplished: #SegWit @CMEGroup @CBOE #LightningNetwork\n2011 +1500%\n2012 +299%\n2013 +5400%\n2014 -43%\n2015 +37%\n2016 +130%\n2017 +1516%\n200DMA passed $6k &amp; @TIPMayerMultple at 2.2x.\n2018 will be onward &amp; upward. 🚂 🚀 https://t.co/a3HflLhMAW", "parent_author": null, "ret_m1d": -0.08843215895010126, "ret_signed_m1d": -0.08843215895010126, "alpha_spy_m1d": -0.08132594737166565, "alpha_c_m1d": null, "bench_spy_m1d": -0.007106211578435606, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.014610795304552893, "ret_signed_p1d": 0.014610795304552893, "alpha_spy_p1d": 0.008285641328034998, "alpha_c_p1d": null, "bench_spy_p1d": 0.006325153976517894, "bench_c_p1d": null, "ret_p1w": -0.025810749416458556, "ret_signed_p1w": -0.025810749416458556, "alpha_spy_p1w": -0.047278835837589295, "alpha_c_p1w": null, "bench_spy_p1w": 0.02146808642113074, "bench_c_p1w": null, "ret_p1m": -0.31777922481711574, "ret_signed_p1m": -0.31777922481711574, "alpha_spy_p1m": -0.36663128493474983, "alpha_c_p1m": null, "bench_spy_p1m": 0.0488520601176341, "bench_c_p1m": null, "ret_p3m": -0.540083152616371, "ret_signed_p3m": -0.540083152616371, "alpha_spy_p3m": -0.5230943596222428, "alpha_c_p3m": null, "bench_spy_p3m": -0.016988792994128143, "bench_c_p3m": null, "ret_p6m": -0.5890342446422066, "ret_signed_p6m": -0.5890342446422066, "alpha_spy_p6m": -0.5997240070662728, "alpha_c_p6m": null, "bench_spy_p6m": 0.010689762424066274, "bench_c_p6m": null, "price_path": [-0.7111, -0.7083, -0.6815, -0.6808, -0.6779, -0.6364, -0.6231, -0.6178, -0.6259, -0.6268, -0.619, -0.5988, -0.6042, -0.6311, -0.6162, -0.6059, -0.6141, -0.5908, -0.5683, -0.5483, -0.5275, -0.5189, -0.5313, -0.5231, -0.5021, -0.5232, -0.5583, -0.5622, -0.5571, -0.5117, -0.4746, -0.4855, -0.4526, -0.4613, -0.4491, -0.4634, -0.4491, -0.3447, -0.3286, -0.34, -0.3169, -0.2674, -0.2219, -0.2046, -0.0461, 0.1947, 0.1059, 0.1305, 0.1624, 0.0952, 0.1056, 0.1819, 0.2758, 0.1865, 0.1096, 0.0548, -0.0768, -0.0638, 0.0746, 0.0572, -0.0251, -0.0218, -0.0884, 0.0, 0.0146, 0.0412, 0.1634, 0.0125, -0.0258, -0.0006, -0.1052, -0.0668, -0.0776, -0.2331, -0.2532, -0.2341, -0.2252, -0.2704, -0.2746, -0.2418, -0.2485, -0.2544, -0.246, -0.3254, -0.3178, -0.3879, -0.4106, -0.5358, -0.4824, -0.4913, -0.4483, -0.4168, -0.4042, -0.4261, -0.3663, -0.3214, -0.3169, -0.2508, -0.2388, -0.2865, -0.3322, -0.3124, -0.3081, -0.2841, -0.306, -0.2691, -0.26, -0.2275, -0.2805, -0.3348, -0.3729, -0.3768, -0.3856, -0.3863, -0.448, -0.4459, -0.4434, -0.4239, -0.4051, -0.404, -0.4174, -0.4073, -0.4521, -0.4772, -0.4691, -0.5217, -0.5401, -0.5272, -0.5023, -0.5425, -0.5454, -0.5571, -0.5481, -0.5438, -0.5349, -0.4734, -0.473, -0.4621, -0.4726, -0.4551, -0.4464, -0.4096, -0.4039, -0.3527, -0.4096, -0.3805, -0.4001, -0.3832, -0.3913, -0.3835, -0.3496, -0.3525, -0.3744, -0.3836, -0.3776, -0.3964, -0.4366, -0.4182, -0.432, -0.4414, -0.4597, -0.4493, -0.4381, -0.4632, -0.4955, -0.4936, -0.5007, -0.5237, -0.5012, -0.5056, -0.4998, -0.4966, -0.4984, -0.4905, -0.4891, -0.4875, -0.4911, -0.539, -0.5607, -0.5762, -0.5544, -0.569, -0.5505, -0.5481, -0.5477, -0.5508, -0.5939, -0.5829, -0.5933, -0.589]}
{"unit_id": "thread:1257975884037980161", "ticker_idx": 1, "ts": "2020-05-06T10:09:57+00:00", "symbol": "PYPL", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$SQ Cash App and $PYPL Venmo pay a fraction - as low as 1% - of bank costs. Banks do not have the right DNA to compete against digital wallets", "tweet_type": "analysis", "timeline": "years", "summary": "Digital wallets (SQ, PYPL) will disrupt traditional banking at a fraction of customer acquisition cost; banks lack the DNA to compete.", "resolved_tickers": ["PYPL"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLF", "bench_c_reason": "industry='Credit Services'", "bench_c_industry": "Credit Services", "unit_kind": "self_thread", "lang": "en", "tweet_text": "In this white paper, @mfriedrichARK illustrates why and how digital wallets - bank branches in our pockets - will disrupt traditional #banking. Banks as we know them will disappear.\n\n---\n\nTo acquire a new customer, $SQ Cash App and $PYPL Venmo pay a fraction - as low as 1% - of bank costs. Banks do not have the right DNA to compete against digital wallets.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.02244564651119585, "ret_signed_m1d": -0.02244564651119585, "alpha_spy_m1d": -0.02927061166283218, "alpha_c_m1d": -0.0444908202414277, "bench_spy_m1d": 0.006824965151636331, "bench_c_m1d": 0.02204517373023185, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.14012932848194604, "ret_signed_p1d": 0.14012932848194604, "alpha_spy_p1d": 0.12806265554734297, "alpha_c_p1d": 0.1166769141402002, "bench_spy_p1d": 0.012066672934603062, "bench_c_p1d": 0.02345241434174583, "ret_p1w": 0.12017764269421649, "ret_signed_p1w": 0.12017764269421649, "alpha_spy_p1w": 0.1295005946119422, "alpha_c_p1w": 0.15113414340975584, "bench_spy_p1w": -0.009322951917725697, "bench_c_p1w": -0.030956500715539348, "ret_p1m": 0.20489447563190555, "ret_signed_p1m": 0.20489447563190555, "alpha_spy_p1m": 0.10952062145252528, "alpha_c_p1m": 0.01821501689640126, "bench_spy_p1m": 0.09537385417938027, "bench_c_p1m": 0.1866794587355043, "ret_p3m": 0.5358896908977189, "ret_signed_p3m": 0.5358896908977189, "alpha_spy_p3m": 0.374106389030594, "alpha_c_p3m": 0.39828451938571874, "bench_spy_p3m": 0.16178330186712486, "bench_c_p3m": 0.13760517151200014, "ret_p6m": 0.5200684631672428, "ret_signed_p6m": 0.5200684631672428, "alpha_spy_p6m": 0.34941303362575793, "alpha_c_p6m": 0.39092010056934234, "bench_spy_p6m": 0.17065542954148483, "bench_c_p6m": 0.1291483625979004, "price_path": [-0.0735, -0.0643, -0.0738, -0.076, -0.0608, -0.0415, -0.0415, -0.0471, -0.0343, -0.0458, -0.0687, -0.0925, -0.1454, -0.1496, -0.1595, -0.1584, -0.1204, -0.1446, -0.1014, -0.1257, -0.1358, -0.2079, -0.1447, -0.1902, -0.2443, -0.1415, -0.2774, -0.2372, -0.2872, -0.2698, -0.3244, -0.3355, -0.2418, -0.2541, -0.2157, -0.2715, -0.2438, -0.2538, -0.2878, -0.2711, -0.2799, -0.2076, -0.2185, -0.1812, -0.1751, -0.1751, -0.174, -0.1444, -0.1587, -0.1559, -0.1283, -0.1258, -0.1619, -0.1023, -0.1019, -0.0634, -0.0606, -0.0948, -0.0369, -0.0414, -0.06, -0.0362, -0.0224, 0.0, 0.1401, 0.1298, 0.122, 0.0991, 0.1202, 0.1255, 0.1341, 0.1397, 0.1331, 0.1764, 0.1552, 0.1757, 0.1757, 0.1457, 0.1376, 0.1596, 0.2081, 0.2043, 0.2274, 0.2219, 0.2049, 0.2158, 0.2165, 0.2225, 0.2463, 0.1927, 0.21, 0.2279, 0.2565, 0.2768, 0.3097, 0.281, 0.3269, 0.3467, 0.3093, 0.3444, 0.3317, 0.3121, 0.3579, 0.3828, 0.3811, 0.3811, 0.3731, 0.3817, 0.4151, 0.428, 0.3904, 0.3367, 0.3428, 0.341, 0.3234, 0.3555, 0.3937, 0.3684, 0.3905, 0.355, 0.3449, 0.3871, 0.3738, 0.4387, 0.5004, 0.5281, 0.5359, 0.5379, 0.5814, 0.5906, 0.548, 0.5067, 0.4732, 0.4911, 0.5047, 0.4922, 0.5298, 0.5164, 0.4998, 0.5445, 0.5337, 0.55, 0.5717, 0.5858, 0.5925, 0.5936, 0.591, 0.6283, 0.6431, 0.5976, 0.4951, 0.4951, 0.4492, 0.5166, 0.4815, 0.434, 0.4571, 0.4498, 0.4099, 0.37, 0.3722, 0.4279, 0.4635, 0.4154, 0.4199, 0.4594, 0.4965, 0.5159, 0.5356, 0.5349, 0.4957, 0.5342, 0.4937, 0.5167, 0.5046, 0.5374, 0.5705, 0.619, 0.5868, 0.5832, 0.5934, 0.5592, 0.574, 0.6606, 0.5894, 0.5824, 0.5371, 0.5621, 0.4988, 0.5201]}
{"unit_id": "thread:1257975884037980161", "ticker_idx": 2, "ts": "2020-05-06T10:09:57+00:00", "symbol": "banking", "kind": "sector", "geography": "US", "sub_sector": null, "direction": "short", "conviction": "low", "explicit": false, "explicit_audit": "kept_implicit_alias_present", "polarity_reversed": false, "quote": "Banks as we know them will disappear. Banks do not have the right DNA to compete against digital wallets", "tweet_type": "analysis", "timeline": "years", "summary": "Digital wallets (SQ, PYPL) will disrupt traditional banking at a fraction of customer acquisition cost; banks lack the DNA to compete.", "resolved_tickers": ["KBE"], "resolution_method": "etf", "resolution_reason": "US banking sector; KBE is standard ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "self_thread", "lang": "en", "tweet_text": "In this white paper, @mfriedrichARK illustrates why and how digital wallets - bank branches in our pockets - will disrupt traditional #banking. Banks as we know them will disappear.\n\n---\n\nTo acquire a new customer, $SQ Cash App and $PYPL Venmo pay a fraction - as low as 1% - of bank costs. Banks do not have the right DNA to compete against digital wallets.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.026120504887425566, "ret_signed_m1d": -0.026120504887425566, "alpha_spy_m1d": -0.019295539735789236, "alpha_c_m1d": -0.019295539735789236, "bench_spy_m1d": 0.006824965151636331, "bench_c_m1d": 0.006824965151636331, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.016589993361103783, "ret_signed_p1d": -0.016589993361103783, "alpha_spy_p1d": -0.004523320426500721, "alpha_c_p1d": -0.004523320426500721, "bench_spy_p1d": 0.012066672934603062, "bench_c_p1d": 0.012066672934603062, "ret_p1w": -0.08012700234081627, "ret_signed_p1w": 0.08012700234081627, "alpha_spy_p1w": 0.07080405042309057, "alpha_c_p1w": 0.07080405042309057, "bench_spy_p1w": -0.009322951917725697, "bench_c_p1w": -0.009322951917725697, "ret_p1m": 0.2244971131632365, "ret_signed_p1m": -0.2244971131632365, "alpha_spy_p1m": -0.12912325898385624, "alpha_c_p1m": -0.12912325898385624, "bench_spy_p1m": 0.09537385417938027, "bench_c_p1m": 0.09537385417938027, "ret_p3m": 0.10325188048967271, "ret_signed_p3m": -0.10325188048967271, "alpha_spy_p3m": 0.05853142137745215, "alpha_c_p3m": 0.05853142137745215, "bench_spy_p3m": 0.16178330186712486, "bench_c_p3m": 0.16178330186712486, "ret_p6m": 0.17404484631783368, "ret_signed_p6m": -0.17404484631783368, "alpha_spy_p6m": -0.0033894167763488525, "alpha_c_p6m": -0.0033894167763488525, "bench_spy_p6m": 0.17065542954148483, "bench_c_p6m": 0.17065542954148483, "price_path": [0.5976, 0.5969, 0.6102, 0.6102, 0.6172, 0.607, 0.607, 0.5864, 0.5958, 0.6127, 0.5909, 0.5415, 0.479, 0.4559, 0.398, 0.3591, 0.4194, 0.3643, 0.3924, 0.3254, 0.2725, 0.0852, 0.156, 0.0771, -0.0183, 0.0953, -0.046, 0.0076, -0.1042, -0.0464, -0.1095, -0.1836, -0.0875, -0.0699, 0.012, -0.0254, -0.0226, -0.0484, -0.1119, -0.0971, -0.137, -0.0695, -0.0349, 0.0113, 0.0868, 0.0868, 0.0318, 0.0169, -0.0487, -0.0815, -0.006, -0.0127, -0.0462, -0.0441, -0.0318, -0.0071, 0.054, 0.0822, 0.1461, 0.1052, 0.0537, 0.0424, 0.0261, 0.0, 0.0166, 0.06, 0.0222, -0.0289, -0.0801, -0.0473, -0.0589, 0.0282, -0.0106, 0.036, 0.0321, 0.0201, 0.0201, 0.1027, 0.1804, 0.1359, 0.1101, 0.1253, 0.1271, 0.1839, 0.2245, 0.294, 0.336, 0.3032, 0.2227, 0.1112, 0.1539, 0.1652, 0.2051, 0.168, 0.1708, 0.161, 0.1584, 0.1499, 0.0897, 0.1253, 0.057, 0.0958, 0.1228, 0.0812, 0.079, 0.079, 0.0897, 0.0509, 0.0534, 0.0118, 0.0595, 0.0719, 0.0545, 0.1104, 0.1068, 0.0769, 0.0616, 0.1157, 0.1072, 0.1303, 0.1253, 0.1, 0.0951, 0.1339, 0.1143, 0.1061, 0.1033, 0.0983, 0.1221, 0.1154, 0.1602, 0.1812, 0.2047, 0.193, 0.1723, 0.1851, 0.1652, 0.1356, 0.1392, 0.1164, 0.1086, 0.1524, 0.1552, 0.1328, 0.1538, 0.1552, 0.1353, 0.1371, 0.1478, 0.1481, 0.1705, 0.1705, 0.1207, 0.1164, 0.0979, 0.1043, 0.1289, 0.1089, 0.1189, 0.1154, 0.105, 0.0555, 0.0368, 0.0135, 0.0153, 0.0271, 0.0634, 0.0487, 0.058, 0.0684, 0.0975, 0.137, 0.1356, 0.1661, 0.1848, 0.1766, 0.1927, 0.1586, 0.1421, 0.1651, 0.1676, 0.1568, 0.1769, 0.1784, 0.2269, 0.2427, 0.2168, 0.174, 0.1496, 0.174]}
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{"unit_id": "quote:877505000330719232", "ticker_idx": 0, "ts": "2017-06-21T12:34:29+00:00", "symbol": "crypto", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": false, "explicit_audit": "kept_implicit", "polarity_reversed": false, "quote": "Growing pains (emphasis on \"growing\") usually are a buy signal! #cryptoassets signals should not be much different.", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Crypto dips / growing pains are a buy signal; broadly bullish crypto assets.", "resolved_tickers": ["BTC-USD", "ETH-USD"], "resolution_method": "basket", "resolution_reason": "Broad crypto; BTC and ETH as primary proxies", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Growing pains (emphasis on \"growing\") usually are a buy signal!  #cryptoassets signals should not be much different. https://t.co/dJqhQVBGMb", "reply_text": null, "parent_text": null, "quoted_text": "Every #cryptoasset architecture hits bumps in the road, and the market quickly tempers its enthusiasm. Natural. https://t.co/jKNYMCWjdt", "parent_author": null, "ret_m1d": 0.0121564613510452, "ret_signed_m1d": 0.0121564613510452, "alpha_spy_m1d": 0.011909594132092804, "alpha_c_m1d": null, "bench_spy_m1d": 0.0002468672189523957, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.006065157064008231, "ret_signed_p1d": 0.006065157064008231, "alpha_spy_p1d": 0.00651809534251846, "alpha_c_p1d": null, "bench_spy_p1d": -0.0004529382785102287, "bench_c_p1d": null, "ret_p1w": -0.042508666261021566, "ret_signed_p1w": -0.042508666261021566, "alpha_spy_p1w": -0.04473148032387575, "alpha_c_p1w": null, "bench_spy_p1w": 0.0022228140628541837, "bench_c_p1w": null, "ret_p1m": 0.04778550270850723, "ret_signed_p1m": 0.04778550270850723, "alpha_spy_p1m": 0.030703732717398013, "alpha_c_p1m": null, "bench_spy_p1m": 0.01708176999110922, "bench_c_p1m": null, "ret_p3m": 0.5117324768665168, "ret_signed_p3m": 0.5117324768665168, "alpha_spy_p3m": 0.47876557617453175, "alpha_c_p3m": null, "bench_spy_p3m": 0.032966900691985046, "bench_c_p3m": null, "ret_p6m": 5.159681454192335, "ret_signed_p6m": 5.159681454192335, "alpha_spy_p6m": 5.060778733931817, "alpha_c_p6m": null, "bench_spy_p6m": 0.09890272026051883, "bench_c_p6m": null, "price_path": [-0.6514, -0.6111, -0.6106, -0.6133, -0.6183, -0.6014, -0.5746, -0.5786, -0.5817, -0.5602, -0.5623, -0.5585, -0.5519, -0.5536, -0.5652, -0.5658, -0.556, -0.5494, -0.5499, -0.5429, -0.5456, -0.5351, -0.5294, -0.5236, -0.51, -0.5104, -0.4713, -0.4597, -0.4459, -0.4282, -0.4216, -0.3591, -0.3472, -0.3354, -0.3126, -0.3588, -0.3535, -0.355, -0.3161, -0.2977, -0.2608, -0.1918, -0.1371, -0.0913, -0.1428, -0.181, -0.1612, -0.191, -0.1497, -0.1046, -0.0746, -0.0009, 0.0647, 0.016, 0.0433, 0.0501, -0.011, 0.0104, -0.068, -0.0835, -0.0634, -0.037, 0.0122, 0.0, 0.0061, 0.0208, -0.0783, -0.0508, -0.0425, -0.0557, -0.0774, -0.0465, -0.0325, -0.0324, -0.03, -0.0634, -0.1177, -0.1306, -0.1079, -0.1232, -0.1695, -0.1713, -0.1377, -0.1546, 0.0478, -0.0079, 0.0245, -0.0419, -0.0594, -0.0064, 0.0446, 0.0693, 0.0108, 0.008, 0.043, 0.0769, 0.2565, 0.2718, 0.243, 0.2574, 0.3576, 0.6084, 0.5551, 0.6275, 0.6108, 0.5472, 0.4881, 0.5249, 0.5438, 0.6119, 0.6257, 0.6298, 0.7028, 0.6977, 0.7491, 0.8192, 0.5754, 0.6275, 0.7095, 0.7106, 0.5726, 0.5475, 0.5361, 0.4438, 0.1732, 0.3527, 0.5117, 0.4596, 0.4525, 0.3503, 0.3502, 0.46, 0.4475, 0.5621, 0.5525, 0.5481, 0.6397, 0.6055, 0.5728, 0.6096, 0.6254, 0.7746, 0.7783, 0.7948, 1.0256, 1.1, 1.1292, 1.0845, 1.079, 1.1228, 1.2355, 1.2053, 1.0552, 1.1386, 1.1958, 1.1498, 1.2798, 1.4054, 1.5166, 1.6323, 1.6804, 1.6116, 1.6568, 1.774, 1.6565, 1.4611, 1.4393, 1.4676, 1.7204, 1.9273, 1.8668, 2.0496, 2.0015, 2.0693, 1.9894, 2.0693, 2.6512, 2.7406, 2.6773, 2.8056, 3.0815, 3.335, 3.4315, 4.3146, 5.6564, 5.1617, 5.2983, 5.4763, 5.1017, 5.1597]}
{"unit_id": "quote:1026875270345760769", "ticker_idx": 0, "ts": "2018-08-07T16:58:37+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "perhaps public markets do not deserve $TSLA, one of the world's most important #Mobility-as-a-Service plays", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish TSLA as a world-class MaaS platform; urges staying public to democratize access, implying long-term upside.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": ".@elonmusk  Given their short-term focus, perhaps public markets do not deserve $TSLA, one of the world's most important #Mobility-as-a-Service plays, $AMZN suffered slings and arrows in order to democratize access to its stock. Now that you do not need cash, you can do the same!", "reply_text": null, "parent_text": null, "quoted_text": "Am considering taking Tesla private at $420. Funding secured.", "parent_author": null, "ret_m1d": -0.09900675612064969, "ret_signed_m1d": -0.09900675612064969, "alpha_spy_m1d": -0.09571480125745002, "alpha_c_m1d": -0.09441039383175853, "bench_spy_m1d": -0.0032919548631996642, "bench_c_m1d": -0.004596362288891154, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.024316999264261008, "ret_signed_p1d": -0.024316999264261008, "alpha_spy_p1d": -0.023896671584434315, "alpha_c_p1d": -0.025377698254005154, "bench_spy_p1d": -0.00042032767982669306, "bench_c_p1d": 0.0010606989897441466, "ret_p1w": -0.0841214770587897, "ret_signed_p1w": -0.0841214770587897, "alpha_spy_p1w": -0.07823833417308101, "alpha_c_p1w": -0.08509382076649974, "bench_spy_p1w": -0.005883142885708681, "bench_c_p1w": 0.0009723437077100439, "ret_p1m": -0.26037359199748733, "ret_signed_p1m": -0.26037359199748733, "alpha_spy_p1m": -0.2724540250066273, "alpha_c_p1m": -0.28494703273367195, "bench_spy_p1m": 0.012080433009139968, "bench_c_p1m": 0.024573440736184615, "ret_p3m": -0.08736201501884422, "ret_signed_p3m": -0.08736201501884422, "alpha_spy_p3m": -0.04373389191285437, "alpha_c_p3m": -0.044603285778342494, "bench_spy_p3m": -0.04362812310598985, "bench_c_p3m": -0.042758729240501725, "ret_p6m": -0.18652683329296982, "ret_signed_p6m": -0.18652683329296982, "alpha_spy_p6m": -0.13323472493763444, "alpha_c_p6m": -0.14600689766963015, "bench_spy_p6m": -0.05329210835533538, "bench_c_p6m": -0.040519935623339665, "price_path": [-0.1964, -0.2068, -0.2308, -0.2513, -0.2453, -0.2504, -0.2707, -0.2505, -0.2755, -0.2648, -0.268, -0.2654, -0.2654, -0.2524, -0.2314, -0.2499, -0.2312, -0.2182, -0.233, -0.1583, -0.1672, -0.1631, -0.1251, -0.097, -0.0917, -0.0576, -0.0564, -0.023, -0.0712, -0.0457, -0.0845, -0.121, -0.1227, -0.099, -0.0924, -0.0781, -0.0965, -0.1172, -0.181, -0.181, -0.1855, -0.1862, -0.1609, -0.1504, -0.1597, -0.1656, -0.1599, -0.183, -0.1499, -0.1468, -0.1563, -0.1739, -0.2012, -0.2164, -0.1866, -0.1921, -0.2171, -0.2355, -0.2145, -0.2074, -0.0791, -0.0827, -0.099, 0.0, -0.0243, -0.0714, -0.0634, -0.061, -0.0841, -0.1077, -0.1162, -0.1951, -0.1874, -0.1519, -0.1526, -0.1567, -0.1495, -0.1589, -0.1784, -0.1964, -0.2013, -0.2053, -0.2053, -0.2387, -0.2604, -0.2598, -0.3065, -0.2478, -0.2638, -0.2346, -0.2374, -0.2223, -0.2232, -0.2493, -0.2122, -0.214, -0.212, -0.2105, -0.207, -0.1844, -0.1898, -0.3024, -0.1814, -0.2069, -0.2233, -0.2575, -0.3099, -0.3399, -0.3076, -0.3232, -0.3355, -0.3182, -0.3161, -0.2713, -0.284, -0.3047, -0.315, -0.3125, -0.2251, -0.2399, -0.1705, -0.1282, -0.1178, -0.1309, -0.1113, -0.093, -0.0874, -0.1006, -0.1015, -0.0828, -0.0742, -0.0766, -0.1272, -0.1076, -0.0937, -0.082, -0.0665, -0.0688, -0.0845, -0.109, -0.109, -0.1416, -0.0884, -0.0939, -0.0835, -0.1012, -0.0766, -0.0555, -0.0523, -0.0523, -0.0435, -0.0569, -0.038, -0.0337, -0.0342, -0.0073, -0.0365, -0.0821, -0.1121, -0.1228, -0.1691, -0.1575, -0.2218, -0.2218, -0.1409, -0.1671, -0.1204, -0.1232, -0.1232, -0.183, -0.2087, -0.163, -0.1175, -0.1165, -0.1081, -0.0912, -0.0851, -0.119, -0.0926, -0.0883, -0.085, -0.2037, -0.2037, -0.2125, -0.2423, -0.232, -0.2174, -0.2192, -0.2163, -0.1865]}
{"unit_id": "quote:1647261223451340804", "ticker_idx": 0, "ts": "2023-04-15T15:30:54+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Tesla's Cybertruck is the sleeper that could destroy the pricing structure of light duty trucks, the lifeblood of most traditional auto companies in the US", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish TSLA: Cybertruck positioned to disrupt light-duty truck pricing and undermine traditional auto incumbents.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "Tesla’s Cybertruck is the sleeper that could destroy the pricing structure of light duty trucks, the lifeblood of most traditional auto companies in the US.", "reply_text": null, "parent_text": null, "quoted_text": "In cars Tesla is delivering transformative margins in vehicle segments where traditional manufacturers can barely tread water\n\nTesla could opt for similar margins in trucks and by doing so push all of its incumbent domestic competitors onto its Cybertruck blade.", "parent_author": null, "ret_m1d": -0.010906722408891678, "ret_signed_m1d": -0.010906722408891678, "alpha_spy_m1d": -0.007331294940026045, "alpha_c_m1d": -0.003876903946034127, "bench_spy_m1d": -0.003575427468865633, "bench_c_m1d": -0.007029818462857551, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.014595786064655836, "ret_signed_p1d": -0.014595786064655836, "alpha_spy_p1d": -0.01524806465365336, "alpha_c_p1d": -0.016218133169354387, "bench_spy_p1d": 0.0006522785889975236, "bench_c_p1d": 0.0016223471046985516, "ret_p1w": -0.1309345119410389, "ret_signed_p1w": -0.1309345119410389, "alpha_spy_p1w": -0.12776972732359748, "alpha_c_p1w": -0.12694655466302218, "bench_spy_p1w": -0.0031647846174414074, "bench_c_p1w": -0.003987957278016707, "ret_p1m": -0.1097090983225203, "ret_signed_p1m": -0.1097090983225203, "alpha_spy_p1m": -0.10079462427288843, "alpha_c_p1m": -0.10619403054521515, "bench_spy_p1m": -0.00891447404963186, "bench_c_p1m": -0.0035150677773051475, "ret_p3m": 0.4857784638141769, "ret_signed_p3m": 0.4857784638141769, "alpha_spy_p3m": 0.39569322860814116, "alpha_c_p3m": 0.30407696215219326, "bench_spy_p3m": 0.09008523520603573, "bench_c_p3m": 0.18170150166198362, "ret_p6m": 0.40943116221086995, "ret_signed_p6m": 0.40943116221086995, "alpha_spy_p6m": 0.35204949304727506, "alpha_c_p6m": 0.3065743134940768, "bench_spy_p6m": 0.057381669163594884, "bench_c_p6m": 0.10285684871679313, "price_path": [-0.3115, -0.3201, -0.2867, -0.2314, -0.2307, -0.2278, -0.1431, -0.0489, -0.109, -0.0739, -0.0301, 0.0066, 0.0157, 0.0413, 0.0522, 0.0762, 0.1084, 0.0527, 0.0406, 0.1187, 0.1454, 0.0802, 0.1137, 0.1137, 0.0552, 0.0739, 0.0804, 0.0526, 0.1101, 0.0998, 0.0841, 0.0206, 0.0575, 0.0362, 0.0036, -0.0269, -0.0755, -0.0727, -0.0672, -0.0202, -0.0352, -0.0156, -0.0369, -0.0203, 0.0564, 0.022, 0.0277, 0.018, 0.0255, 0.0115, 0.0366, 0.0441, 0.1092, 0.0413, 0.0296, -0.0081, -0.0106, -0.0106, -0.0135, -0.0013, -0.0348, -0.0061, -0.0109, 0.0, -0.0146, -0.0345, -0.1286, -0.1174, -0.1309, -0.141, -0.178, -0.1436, -0.1215, -0.1348, -0.1429, -0.1413, -0.1382, -0.0908, -0.0815, -0.0956, -0.0989, -0.08, -0.1019, -0.1106, -0.1097, -0.0705, -0.0543, -0.0369, 0.0098, -0.0068, -0.0221, -0.0137, 0.0328, 0.0328, 0.0755, 0.0903, 0.1095, 0.144, 0.1634, 0.1832, 0.2007, 0.2557, 0.3067, 0.3357, 0.3832, 0.3729, 0.3682, 0.393, 0.393, 0.4673, 0.3872, 0.4147, 0.3719, 0.2888, 0.3377, 0.37, 0.3767, 0.3995, 0.496, 0.496, 0.5103, 0.4785, 0.4672, 0.4415, 0.4424, 0.4542, 0.4858, 0.5044, 0.5525, 0.5683, 0.5572, 0.4056, 0.3902, 0.4385, 0.4183, 0.4133, 0.3671, 0.4245, 0.4298, 0.3958, 0.3586, 0.3864, 0.3572, 0.3444, 0.335, 0.2949, 0.3117, 0.2973, 0.2819, 0.2455, 0.2062, 0.172, 0.1521, 0.2365, 0.2467, 0.2664, 0.2299, 0.2756, 0.2768, 0.375, 0.3735, 0.3798, 0.3099, 0.3099, 0.3713, 0.3469, 0.3446, 0.3286, 0.4627, 0.4301, 0.4505, 0.4758, 0.467, 0.4183, 0.4248, 0.4039, 0.3671, 0.3092, 0.3205, 0.3052, 0.2858, 0.3173, 0.3378, 0.3452, 0.3181, 0.3963, 0.3903, 0.3929, 0.3883, 0.4094]}
{"unit_id": "quote:1937284105378336832", "ticker_idx": 0, "ts": "2025-06-23T22:58:18+00:00", "symbol": "EVs", "kind": "sector", "geography": "US", "sub_sector": null, "direction": "long", "conviction": "high", "explicit": false, "explicit_audit": "kept_implicit_alias_present", "polarity_reversed": false, "quote": "EVs costs and prices will drop well below those for \"like-for-like\" gas-powered vehicles during the next three years!", "tweet_type": "prediction", "timeline": "years", "summary": "Bullish US EV sector: cost/price advantage over ICE vehicles expected within 3 years, driving accelerating US adoption.", "resolved_tickers": ["DRIV"], "resolution_method": "etf", "resolution_reason": "US EV sector; DRIV is broad EV/autonomous ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "China is pointing the way forward for EV sales in the US. Why? Economics, as usual. EVs costs and prices will drop well below those for “like-for-like” gas-powered vehicles during the next three years!", "reply_text": null, "parent_text": null, "quoted_text": "More EVs are now sold every year in China than cars - of all sorts - are sold in the US. This trend isn't stopping. EVs are all of the growth in the global auto market since 2017.  \nvia @electricfelix https://t.co/2VVoRZUwCT", "parent_author": null, "ret_m1d": -0.01242787489671926, "ret_signed_m1d": -0.01242787489671926, "alpha_spy_m1d": -0.002647106305782132, "alpha_c_m1d": -0.002647106305782132, "bench_spy_m1d": -0.009780768590937128, "bench_c_m1d": -0.009780768590937128, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0252995504408271, "ret_signed_p1d": 0.0252995504408271, "alpha_spy_p1d": 0.014252135189744886, "alpha_c_p1d": 0.014252135189744886, "bench_spy_p1d": 0.011047415251082215, "bench_c_p1d": 0.011047415251082215, "ret_p1w": 0.04175376579288459, "ret_signed_p1w": 0.04175376579288459, "alpha_spy_p1w": 0.012261103420577513, "alpha_c_p1w": 0.012261103420577513, "bench_spy_p1w": 0.029492662372307077, "bench_c_p1w": 0.029492662372307077, "ret_p1m": 0.12044418797678147, "ret_signed_p1m": 0.12044418797678147, "alpha_spy_p1m": 0.07260617434130445, "alpha_c_p1m": 0.07260617434130445, "bench_spy_p1m": 0.04783801363547702, "bench_c_p1m": 0.04783801363547702, "ret_p3m": 0.25099870141822533, "ret_signed_p3m": 0.25099870141822533, "alpha_spy_p3m": 0.1475078232228655, "alpha_c_p3m": 0.1475078232228655, "bench_spy_p3m": 0.10349087819535985, "bench_c_p3m": 0.10349087819535985, "ret_p6m": 0.3241898174530282, "ret_signed_p6m": 0.3241898174530282, "alpha_spy_p6m": 0.1898864002967453, "alpha_c_p6m": 0.1898864002967453, "bench_spy_p6m": 0.1343034171562829, "bench_c_p6m": 0.1343034171562829, "price_path": [-0.0018, -0.0178, -0.0497, -0.0617, -0.0617, -0.0573, -0.115, -0.1691, -0.1838, -0.2122, -0.1238, -0.1545, -0.1318, -0.1234, -0.1252, -0.1438, -0.1389, -0.1389, -0.1558, -0.1349, -0.1127, -0.0808, -0.0786, -0.0755, -0.071, -0.079, -0.0803, -0.0546, -0.0559, -0.0613, -0.0679, -0.0546, -0.0448, -0.0027, 0.0075, 0.0093, 0.0027, 0.0075, 0.0013, 0.0004, -0.0124, -0.0186, -0.0262, -0.0262, -0.0089, -0.016, -0.0098, -0.0253, -0.0293, -0.0173, -0.0062, -0.0138, -0.0044, 0.0093, 0.024, 0.0249, 0.0217, -0.0009, 0.0124, -0.0058, -0.0022, -0.0022, -0.0124, 0.0, 0.0253, 0.0266, 0.0435, 0.0431, 0.0418, 0.0435, 0.0641, 0.0762, 0.0762, 0.0489, 0.0695, 0.0771, 0.0878, 0.0811, 0.0896, 0.0865, 0.0815, 0.1052, 0.109, 0.1124, 0.1204, 0.1379, 0.1272, 0.1249, 0.1182, 0.1012, 0.0923, 0.0735, 0.0583, 0.0735, 0.0802, 0.0829, 0.0883, 0.1119, 0.1272, 0.15, 0.1558, 0.1415, 0.15, 0.1491, 0.141, 0.1307, 0.128, 0.1687, 0.1643, 0.1701, 0.1667, 0.1732, 0.1627, 0.1627, 0.1428, 0.139, 0.1446, 0.1598, 0.175, 0.1714, 0.1571, 0.1817, 0.1777, 0.2005, 0.2137, 0.2282, 0.251, 0.2506, 0.2675, 0.2541, 0.2452, 0.2479, 0.2497, 0.2532, 0.2644, 0.2863, 0.302, 0.3123, 0.3216, 0.2984, 0.3105, 0.2988, 0.2331, 0.2958, 0.2957, 0.312, 0.3024, 0.2926, 0.3121, 0.3038, 0.282, 0.3072, 0.3401, 0.3541, 0.3551, 0.3731, 0.3576, 0.3671, 0.3643, 0.3155, 0.3416, 0.3255, 0.3237, 0.3574, 0.3472, 0.3471, 0.3172, 0.31, 0.2878, 0.2765, 0.2778, 0.2342, 0.2452, 0.2649, 0.2774, 0.2959, 0.2959, 0.3182, 0.303, 0.3154, 0.3328, 0.3402, 0.3507, 0.3512, 0.352, 0.3688, 0.3707, 0.3431, 0.3308, 0.3242]}
{"unit_id": "quote:993499622592008197", "ticker_idx": 0, "ts": "2018-05-07T14:35:43+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Nice to see @fredwilson's vision on a day when #WarrenBuffet and @BillGates miss the mark on #bitcoin and other #cryptoassets", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish bitcoin and crypto assets; endorses decentralized-network/token thesis while dismissing Buffett and Gates skepticism.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Nice to see @fredwilson's vision on a day when #WarrenBuffet and @BillGates miss the mark on #bitcoin and other #cryptoassets. https://t.co/UeJQrMpa46", "reply_text": null, "parent_text": null, "quoted_text": "“what we are seeing here is the creation of a new internet, built upon protocols that allow for decentralized networks to form and tokens that allow people and companies to be compensated for that formation.”\n-@fredwilson  https://t.co/RZ9ay1uf7Y", "parent_author": null, "ret_m1d": 0.034967423292569855, "ret_signed_m1d": 0.034967423292569855, "alpha_spy_m1d": 0.03833952978041555, "alpha_c_m1d": null, "bench_spy_m1d": -0.003372106487845694, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.014743338221176572, "ret_signed_p1d": -0.014743338221176572, "alpha_spy_p1d": -0.014743338221176572, "alpha_c_p1d": null, "bench_spy_p1d": 0.0, "bench_c_p1d": null, "ret_p1w": -0.07001163371974173, "ret_signed_p1w": -0.07001163371974173, "alpha_spy_p1w": -0.09271537391351481, "alpha_c_p1w": null, "bench_spy_p1w": 0.02270374019377308, "bench_c_p1w": null, "ret_p1m": -0.1855593927127447, "ret_signed_p1m": -0.1855593927127447, "alpha_spy_p1m": -0.21620514977901795, "alpha_c_p1m": null, "bench_spy_p1m": 0.03064575706627326, "bench_c_p1m": null, "ret_p3m": -0.19266595345970317, "ret_signed_p3m": -0.19266595345970317, "alpha_spy_p3m": -0.2553740537735153, "alpha_c_p3m": null, "bench_spy_p3m": 0.06270810031381213, "bench_c_p3m": null, "ret_p6m": -0.32420106476770794, "ret_signed_p6m": -0.32420106476770794, "alpha_spy_p6m": -0.33645183765397146, "alpha_c_p6m": null, "bench_spy_p6m": 0.012250772886263528, "bench_c_p6m": null, "price_path": [-0.1869, -0.1181, -0.0679, -0.0476, -0.0827, 0.013, 0.0846, 0.0918, 0.1976, 0.2167, 0.1406, 0.0674, 0.099, 0.106, 0.1443, 0.1093, 0.1684, 0.1828, 0.2347, 0.1501, 0.0632, 0.0023, -0.0038, -0.0179, -0.019, -0.1177, -0.1144, -0.1104, -0.0792, -0.049, -0.0473, -0.0688, -0.0526, -0.1241, -0.1643, -0.1513, -0.2355, -0.2649, -0.2442, -0.2045, -0.2688, -0.2733, -0.292, -0.2776, -0.2708, -0.2566, -0.1583, -0.1576, -0.1402, -0.1569, -0.1291, -0.1151, -0.0562, -0.0472, 0.0346, -0.0563, -0.0098, -0.0412, -0.0141, -0.0271, -0.0146, 0.0396, 0.035, 0.0, -0.0147, -0.0051, -0.0351, -0.0994, -0.07, -0.092, -0.1071, -0.1364, -0.1197, -0.1018, -0.142, -0.1937, -0.1905, -0.2019, -0.2387, -0.2028, -0.2098, -0.2005, -0.1954, -0.1983, -0.1856, -0.1834, -0.1808, -0.1865, -0.2631, -0.2977, -0.3225, -0.2878, -0.3112, -0.2815, -0.2777, -0.277, -0.282, -0.3509, -0.3333, -0.3499, -0.3431, -0.3702, -0.3366, -0.2943, -0.3034, -0.2961, -0.2917, -0.288, -0.2807, -0.3247, -0.3178, -0.3355, -0.3345, -0.2807, -0.2189, -0.2136, -0.2034, -0.2154, -0.1773, -0.1012, -0.1271, -0.1517, -0.1289, -0.1272, -0.1699, -0.1865, -0.1927, -0.2068, -0.2583, -0.2795, -0.3272, -0.2992, -0.3402, -0.3281, -0.3386, -0.3269, -0.3242, -0.2979, -0.3269, -0.3077, -0.3197, -0.3028, -0.2831, -0.2655, -0.2429, -0.2481, -0.2555, -0.2492, -0.2254, -0.2146, -0.2753, -0.3034, -0.31, -0.3247, -0.3256, -0.3223, -0.3047, -0.3052, -0.3299, -0.3203, -0.3173, -0.3044, -0.2815, -0.2963, -0.3122, -0.3071, -0.2877, -0.2911, -0.297, -0.3005, -0.3062, -0.2983, -0.2935, -0.2903, -0.2913, -0.2974, -0.3325, -0.3306, -0.2962, -0.2963, -0.3018, -0.309, -0.3102, -0.3079, -0.3091, -0.307, -0.309, -0.3092, -0.3244, -0.3242]}
{"unit_id": "quote:1158888505340309506", "ticker_idx": 0, "ts": "2019-08-06T23:52:05+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Venezuela-like flight to safety would be a boon for #bitcoin", "tweet_type": "analysis", "timeline": "unspecified", "summary": "USD deflation/negative rates would trigger flight-to-safety into Bitcoin, bullish BTC.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "As a first thought, emerging markets, particularly those with dollar denominated debt, would be in real trouble. Venezuela-like flight to safety would be a boon for #bitcoin.", "reply_text": null, "parent_text": null, "quoted_text": "Question for debate : If the USD went into deflation and/or negative interest rates, what would that mean for Bitcoin?", "parent_author": null, "ret_m1d": 0.02853106419327789, "ret_signed_m1d": 0.02853106419327789, "alpha_spy_m1d": 0.04236031233209214, "alpha_c_m1d": null, "bench_spy_m1d": -0.013829248138814254, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.040407124768529146, "ret_signed_p1d": 0.040407124768529146, "alpha_spy_p1d": 0.03981685412492908, "alpha_c_p1d": null, "bench_spy_p1d": 0.000590270643600066, "bench_c_p1d": null, "ret_p1w": -0.05073447428436029, "ret_signed_p1w": -0.05073447428436029, "alpha_spy_p1w": -0.06723850707805878, "alpha_c_p1w": null, "bench_spy_p1w": 0.016504032793698498, "bench_c_p1w": null, "ret_p1m": -0.07698752174325496, "ret_signed_p1m": -0.07698752174325496, "alpha_spy_p1m": -0.09866939597144597, "alpha_c_p1m": null, "bench_spy_p1m": 0.02168187422819101, "bench_c_p1m": null, "ret_p3m": -0.19315488939813985, "ret_signed_p3m": -0.19315488939813985, "alpha_spy_p3m": -0.26179180348804887, "alpha_c_p3m": null, "bench_spy_p3m": 0.06863691408990902, "bench_c_p3m": null, "ret_p6m": -0.18831741132218982, "ret_signed_p6m": -0.18831741132218982, "alpha_spy_p6m": -0.33404877878915207, "alpha_c_p6m": null, "bench_spy_p6m": 0.14573136746696225, "bench_c_p6m": null, "price_path": [-0.4621, -0.4443, -0.3191, -0.3035, -0.2852, -0.3131, -0.3602, -0.3049, -0.3062, -0.3309, -0.3133, -0.3041, -0.2328, -0.2403, -0.2456, -0.2752, -0.253, -0.2848, -0.3285, -0.3183, -0.3185, -0.2992, -0.303, -0.3093, -0.2903, -0.2829, -0.2426, -0.188, -0.2088, -0.1921, -0.17, -0.1162, -0.0407, 0.0272, 0.134, -0.0257, 0.081, -0.078, -0.0589, 0.0421, -0.0229, -0.0435, 0.0704, 0.0955, 0.0591, -0.0104, 0.0294, -0.0508, -0.1743, -0.1555, -0.0707, -0.0825, -0.0989, -0.1374, -0.1452, -0.1365, -0.1401, -0.1707, -0.163, -0.1213, -0.094, -0.0836, 0.0285, 0.0, 0.0404, 0.0425, 0.0335, -0.0083, -0.0507, -0.1243, -0.1016, -0.0962, -0.049, -0.0623, -0.1168, -0.1174, -0.0932, -0.0965, -0.1126, -0.1502, -0.1715, -0.1638, -0.0986, -0.0745, -0.077, -0.0786, -0.098, -0.0996, -0.1187, -0.1132, -0.093, -0.0974, -0.1047, -0.1078, -0.1115, -0.1056, -0.113, -0.1524, -0.249, -0.2606, -0.2927, -0.2811, -0.2774, -0.2731, -0.2688, -0.2804, -0.2851, -0.2816, -0.2831, -0.2511, -0.2519, -0.275, -0.2704, -0.2851, -0.2989, -0.294, -0.3054, -0.2818, -0.2962, -0.3453, -0.3472, -0.2455, -0.1936, -0.1786, -0.198, -0.1985, -0.1932, -0.18, -0.1861, -0.1845, -0.1926, -0.2329, -0.237, -0.232, -0.2326, -0.2413, -0.2602, -0.2761, -0.2851, -0.3006, -0.3341, -0.3643, -0.3774, -0.3711, -0.3438, -0.3498, -0.3238, -0.3621, -0.3623, -0.3682, -0.3511, -0.3425, -0.3552, -0.3659, -0.3712, -0.369, -0.3667, -0.396, -0.4215, -0.366, -0.3725, -0.3711, -0.3592, -0.362, -0.3662, -0.3693, -0.3649, -0.3646, -0.3733, -0.3727, -0.3914, -0.3601, -0.3231, -0.2888, -0.2961, -0.3136, -0.2885, -0.2905, -0.2309, -0.2327, -0.24, -0.2221, -0.2457, -0.238, -0.2437, -0.2676, -0.2642, -0.2238, -0.1847, -0.1883]}
{"unit_id": "thread:1130817416693473280", "ticker_idx": 0, "ts": "2019-05-21T12:47:36+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "EV demand growth should transition from strong to explosive", "tweet_type": "analysis", "timeline": "quarters", "summary": "Long TSLA on TCO advantage + explosive EV demand ahead; short GM as gas car sales have peaked and Bolt is flat.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "self_thread", "lang": "en", "tweet_text": ".@ARKInvest would like to compare notes with Adam Jonas and his team at Morgan Stanley on their concern about EV demand. The concern should be about gas-powered cars. EVs are growing nicely.\n\n---\n\nBased on original research (which seems rare on the Street these days), the total cost of ownership (TCO) of a $TSLA’s Model 3 is lower than that of the average gas powered vehicle, as shown in ARK’s Sunday newsletter above.\n\n---\n\nAs the average price of an EV moves toward and drops below that of gas powered cars in the next few years, EV demand growth should transition from strong to explosive.\n\n---\n\nIncreasingly, when #UBER drivers drop me off at the train, they ask about the economics of the #Model3. Demand for the Model 3 extends well beyond the premium sedan market.\n\n---\n\nI’d be much more concerned about the demand for gas powered cars.  I’m puzzled over Adam Jonas’s “overweight” rating on $GM because the #Bolt’s sales are flat year over year and its gas powered car sales are falling.  Gas powered car sales seem to have peaked globally.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.0013653614074815579, "ret_signed_m1d": 0.0013653614074815579, "alpha_spy_m1d": 0.010300358979419166, "alpha_c_m1d": 0.008268234445697575, "bench_spy_m1d": -0.008934997571937608, "bench_c_m1d": -0.0069028730382160175, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.06022036210467108, "ret_signed_p1d": -0.06022036210467108, "alpha_spy_p1d": -0.05714930956239461, "alpha_c_p1d": -0.049952121009442574, "bench_spy_p1d": -0.0030710525422764645, "bench_c_p1d": -0.010268241095228503, "ret_p1w": -0.07987127070755706, "ret_signed_p1w": -0.07987127070755706, "alpha_spy_p1w": -0.05767327064583572, "alpha_c_p1w": -0.052172657910909304, "bench_spy_p1w": -0.022198000061721346, "bench_c_p1w": -0.02769861279664776, "ret_p1m": 0.10410570327517243, "ret_signed_p1m": 0.10410570327517243, "alpha_spy_p1m": 0.08124419836838181, "alpha_c_p1m": 0.07157470056636583, "bench_spy_p1m": 0.02286150490679062, "bench_c_p1m": 0.0325310027088066, "ret_p3m": 0.07245957783170365, "ret_signed_p3m": 0.07245957783170365, "alpha_spy_p3m": 0.05938883389633176, "alpha_c_p3m": 0.06901178887578152, "bench_spy_p3m": 0.013070743935371887, "bench_c_p3m": 0.0034477889559221264, "ret_p6m": 0.687682820420656, "ret_signed_p6m": 0.687682820420656, "alpha_spy_p6m": 0.5985836321514075, "alpha_c_p6m": 0.6397280967807359, "bench_spy_p6m": 0.08909918826924845, "bench_c_p6m": 0.04795472363992004, "price_path": [0.4201, 0.437, 0.4568, 0.4524, 0.5347, 0.5598, 0.4374, 0.3915, 0.3484, 0.347, 0.3487, 0.3855, 0.4186, 0.3817, 0.409, 0.4139, 0.343, 0.3141, 0.3042, 0.3341, 0.3362, 0.2899, 0.2698, 0.3057, 0.3401, 0.3586, 0.3646, 0.4101, 0.394, 0.4229, 0.3057, 0.3407, 0.3322, 0.3278, 0.3461, 0.3089, 0.3053, 0.2989, 0.3329, 0.3226, 0.3325, 0.3325, 0.2812, 0.2868, 0.2613, 0.2075, 0.1466, 0.1774, 0.1639, 0.1411, 0.1903, 0.2436, 0.2451, 0.2047, 0.1939, 0.1799, 0.1679, 0.1069, 0.1328, 0.131, 0.1134, 0.029, 0.0014, 0.0, -0.0602, -0.0468, -0.0705, -0.0705, -0.0799, -0.0742, -0.0822, -0.0971, -0.1273, -0.056, -0.0414, 0.0042, -0.0028, 0.038, 0.0586, 0.0204, 0.0431, 0.048, 0.0973, 0.0959, 0.1041, 0.0709, 0.0818, 0.0905, 0.0716, 0.0692, 0.0866, 0.0896, 0.1077, 0.0949, 0.1454, 0.1454, 0.1366, 0.1232, 0.1218, 0.165, 0.1634, 0.195, 0.2361, 0.2306, 0.2427, 0.2363, 0.2589, 0.2467, 0.2686, 0.2916, 0.1158, 0.112, 0.1496, 0.1813, 0.1781, 0.1403, 0.1427, 0.1133, 0.1252, 0.1382, 0.162, 0.1459, 0.1167, 0.1459, 0.0709, 0.0515, 0.0725, 0.1061, 0.1013, 0.0768, 0.0832, 0.0308, 0.0484, 0.0439, 0.0512, 0.0811, 0.1001, 0.1001, 0.0972, 0.0761, 0.1195, 0.1091, 0.1302, 0.1485, 0.2049, 0.1989, 0.1956, 0.184, 0.1936, 0.1873, 0.2025, 0.1733, 0.1763, 0.0884, 0.1152, 0.1828, 0.1807, 0.1745, 0.1931, 0.1855, 0.1363, 0.1285, 0.1592, 0.1705, 0.1924, 0.1934, 0.2087, 0.253, 0.2575, 0.2666, 0.2774, 0.2529, 0.2361, 0.2462, 0.2419, 0.4613, 0.6, 0.598, 0.5419, 0.536, 0.5356, 0.5277, 0.548, 0.5468, 0.5925, 0.6361, 0.6439, 0.6827, 0.7063, 0.6877]}
{"unit_id": "thread:1130817416693473280", "ticker_idx": 1, "ts": "2019-05-21T12:47:36+00:00", "symbol": "GM", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "I'm puzzled over Adam Jonas's 'overweight' rating on $GM because the #Bolt's sales are flat year over year and its gas powered car sales are falling. Gas powered car sales seem to have peaked globally.", "tweet_type": "analysis", "timeline": "quarters", "summary": "Long TSLA on TCO advantage + explosive EV demand ahead; short GM as gas car sales have peaked and Bolt is flat.", "resolved_tickers": ["GM"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "self_thread", "lang": "en", "tweet_text": ".@ARKInvest would like to compare notes with Adam Jonas and his team at Morgan Stanley on their concern about EV demand. The concern should be about gas-powered cars. EVs are growing nicely.\n\n---\n\nBased on original research (which seems rare on the Street these days), the total cost of ownership (TCO) of a $TSLA’s Model 3 is lower than that of the average gas powered vehicle, as shown in ARK’s Sunday newsletter above.\n\n---\n\nAs the average price of an EV moves toward and drops below that of gas powered cars in the next few years, EV demand growth should transition from strong to explosive.\n\n---\n\nIncreasingly, when #UBER drivers drop me off at the train, they ask about the economics of the #Model3. Demand for the Model 3 extends well beyond the premium sedan market.\n\n---\n\nI’d be much more concerned about the demand for gas powered cars.  I’m puzzled over Adam Jonas’s “overweight” rating on $GM because the #Bolt’s sales are flat year over year and its gas powered car sales are falling.  Gas powered car sales seem to have peaked globally.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.004309176742797072, "ret_signed_m1d": 0.004309176742797072, "alpha_spy_m1d": -0.004625820829140537, "alpha_c_m1d": -0.0025936962954189458, "bench_spy_m1d": -0.008934997571937608, "bench_c_m1d": -0.0069028730382160175, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.04255345476005401, "ret_signed_p1d": 0.04255345476005401, "alpha_spy_p1d": 0.039482402217777546, "alpha_c_p1d": 0.03228521366482551, "bench_spy_p1d": -0.0030710525422764645, "bench_c_p1d": -0.010268241095228503, "ret_p1w": -0.06140588005983527, "ret_signed_p1w": 0.06140588005983527, "alpha_spy_p1w": 0.039207879998113926, "alpha_c_p1w": 0.03370726726318751, "bench_spy_p1w": -0.022198000061721346, "bench_c_p1w": -0.02769861279664776, "ret_p1m": 0.0011888806385018658, "ret_signed_p1m": -0.0011888806385018658, "alpha_spy_p1m": 0.021672624268288754, "alpha_c_p1m": 0.031342122070304734, "bench_spy_p1m": 0.02286150490679062, "bench_c_p1m": 0.0325310027088066, "ret_p3m": 0.007177427922230084, "ret_signed_p3m": -0.007177427922230084, "alpha_spy_p3m": 0.005893316013141803, "alpha_c_p3m": -0.0037296389663079577, "bench_spy_p3m": 0.013070743935371887, "bench_c_p3m": 0.0034477889559221264, "ret_p6m": 0.022510142272169853, "ret_signed_p6m": -0.022510142272169853, "alpha_spy_p6m": 0.0665890459970786, "alpha_c_p6m": 0.025444581367750185, "bench_spy_p6m": 0.08909918826924845, "bench_c_p6m": 0.04795472363992004, "price_path": [0.0566, 0.0664, 0.0704, 0.0696, 0.0667, 0.0528, 0.0542, 0.0467, 0.0475, 0.0312, 0.0245, 0.0232, 0.0401, 0.0401, 0.045, 0.0242, 0.0253, 0.0229, 0.0307, -0.0035, 0.0059, -0.0186, -0.0102, -0.007, -0.014, -0.0019, -0.0008, 0.017, 0.0183, 0.0339, 0.0447, 0.0487, 0.052, 0.0466, 0.0571, 0.0593, 0.0695, 0.0657, 0.0681, 0.077, 0.0854, 0.0854, 0.0638, 0.0727, 0.0698, 0.0533, 0.0687, 0.0776, 0.049, 0.0436, 0.0302, 0.045, 0.0259, 0.0377, 0.0291, 0.0121, 0.0205, -0.0154, -0.0024, 0.0065, 0.0067, -0.0035, -0.0043, 0.0, -0.0426, -0.0539, -0.0541, -0.0541, -0.0614, -0.063, -0.0622, -0.1021, -0.0924, -0.0377, -0.0347, -0.0421, -0.0339, -0.0198, -0.0146, -0.029, -0.0195, -0.0293, -0.0162, -0.001, 0.0012, 0.0061, 0.005, 0.0061, 0.0257, 0.0379, 0.0431, 0.0488, 0.0548, 0.0437, 0.0388, 0.0388, 0.048, 0.0407, 0.0366, 0.0371, 0.0461, 0.0673, 0.0714, 0.0733, 0.066, 0.0649, 0.0747, 0.085, 0.1082, 0.1128, 0.1093, 0.1098, 0.1074, 0.1005, 0.0981, 0.0929, 0.0829, 0.0619, 0.0638, 0.0722, 0.0916, 0.0782, 0.0578, 0.0619, 0.0123, -0.0072, 0.0072, 0.017, 0.0061, 0.0104, 0.0143, -0.0184, -0.0132, -0.023, -0.0081, 0.0047, 0.0096, 0.0096, 0.0047, 0.0409, 0.0649, 0.0662, 0.0882, 0.0882, 0.0849, 0.0742, 0.0684, 0.0231, 0.0528, 0.0497, 0.0387, 0.0275, 0.0239, 0.011, 0.0203, 0.0341, 0.0288, 0.0305, -0.0072, -0.0465, -0.0383, -0.0402, -0.0446, -0.0685, -0.0613, -0.0471, -0.022, -0.024, -0.0031, 0.0077, -0.005, -0.0055, -0.0121, -0.0017, 0.0066, -0.0152, 0.0101, 0.0074, 0.0506, 0.0423, 0.0217, 0.044, 0.0555, 0.0511, 0.0563, 0.0583, 0.0632, 0.0646, 0.061, 0.0225]}
{"unit_id": "quote:1623151071760637952", "ticker_idx": 0, "ts": "2023-02-08T02:45:46+00:00", "symbol": "connected TV", "kind": "sector", "geography": "US", "sub_sector": null, "direction": "long", "conviction": "low", "explicit": false, "explicit_audit": "kept_implicit_alias_present", "polarity_reversed": false, "quote": "Connected TV should be a prime beneficiary of the $70 billion shift in advertising dollars from linear to digital TV in the US", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish on Connected TV sector and ROKU/DASH partnership as beneficiaries of $70B US / $170B global ad-dollar shift from linear to digital TV.", "resolved_tickers": ["ROKU", "TTD", "FUBO"], "resolution_method": "basket", "resolution_reason": "Connected TV basket: Roku, The Trade Desk, FuboTV", "bench_c": "XLC", "bench_c_reason": "industry='Entertainment'", "bench_c_industry": "Entertainment", "unit_kind": "quote", "lang": "en", "tweet_text": "Connected TV should be a prime beneficiary of the $70 billion shift in advertising dollars from linear to digital TV in the US and the $170 billion shift globally. Good catch @andrewkimARK!", "reply_text": null, "parent_text": null, "quoted_text": "1/ The $ROKU + $DASH partnership announced today seems like one of the most intuitive use cases for bottom-funnel CTV advertising, finally giving food services the ability to granularly target high-intent customers. We outline some potential value-add scenarios below. https://t.co/yJnInaXrV6", "parent_author": null, "ret_m1d": 0.05474686678052517, "ret_signed_m1d": 0.05474686678052517, "alpha_spy_m1d": 0.04369120816940238, "alpha_c_m1d": 0.022312473995646696, "bench_spy_m1d": 0.011055658611122787, "bench_c_m1d": 0.032434392784878474, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.0700319925712712, "ret_signed_p1d": -0.0700319925712712, "alpha_spy_p1d": -0.06136281820334451, "alpha_c_p1d": -0.048174115524877895, "bench_spy_p1d": -0.00866917436792669, "bench_c_p1d": -0.021857877046393304, "ret_p1w": 0.10777064364802036, "ret_signed_p1w": 0.10777064364802036, "alpha_spy_p1w": 0.09966132600266508, "alpha_c_p1w": 0.11587908507253863, "bench_spy_p1w": 0.008109317645355274, "bench_c_p1w": -0.008108441424518276, "ret_p1m": -0.09869178243743293, "ret_signed_p1m": -0.09869178243743293, "alpha_spy_p1m": -0.05220452677493026, "alpha_c_p1m": -0.03311815129825313, "bench_spy_p1m": -0.04648725566250267, "bench_c_p1m": -0.0655736311391798, "ret_p3m": -0.02023687810148615, "ret_signed_p3m": -0.02023687810148615, "alpha_spy_p3m": -0.029162414444148948, "alpha_c_p3m": -0.06168069669781499, "bench_spy_p3m": 0.008925536342662799, "bench_c_p3m": 0.04144381859632884, "ret_p6m": 0.47466182982479915, "ret_signed_p6m": 0.47466182982479915, "alpha_spy_p6m": 0.37341598194690967, "alpha_c_p6m": 0.28422741195644835, "bench_spy_p6m": 0.10124584787788948, "bench_c_p6m": 0.1904344178683508, "price_path": [0.1405, 0.1036, 0.1708, 0.0817, 0.0489, 0.0267, -0.0126, -0.019, 0.0113, 0.0113, -0.0041, -0.0362, -0.026, 0.0442, 0.0531, 0.0724, 0.0152, -0.0602, -0.0835, -0.0738, -0.0749, -0.0616, -0.0519, -0.0751, -0.1455, -0.1496, -0.1877, -0.1763, -0.1807, -0.2122, -0.2274, -0.2274, -0.2689, -0.2812, -0.2516, -0.2488, -0.2488, -0.2628, -0.2388, -0.2529, -0.2474, -0.2155, -0.2004, -0.1661, -0.1422, -0.1173, -0.1173, -0.1078, -0.1319, -0.1695, -0.1125, -0.0759, -0.094, -0.0882, -0.0671, -0.0253, -0.0571, -0.0051, 0.0531, 0.1434, 0.0887, 0.0816, 0.0547, 0.0, -0.07, -0.0956, -0.0974, -0.0712, 0.1078, 0.1229, 0.1079, 0.1079, 0.0396, 0.0595, 0.0483, 0.018, -0.0258, -0.019, -0.0432, -0.0481, -0.0346, -0.0474, -0.0492, -0.0434, -0.0987, -0.1346, -0.1407, -0.1205, -0.1316, -0.0911, -0.1135, -0.138, -0.078, -0.1168, -0.1166, -0.1223, -0.1126, -0.1438, -0.1055, -0.1248, -0.0744, -0.0873, -0.0856, -0.1281, -0.0994, -0.0994, -0.0843, -0.0743, -0.1184, -0.0818, -0.0977, -0.0748, -0.0655, -0.093, -0.117, -0.1167, -0.1184, -0.1501, -0.1553, -0.1189, -0.1159, -0.1076, -0.1294, -0.1403, -0.1566, -0.0893, -0.0202, -0.004, -0.0184, -0.0227, -0.0654, -0.0235, -0.058, -0.0204, -0.0153, -0.0346, 0.011, -0.0228, -0.0186, -0.0525, -0.0325, -0.0325, -0.0001, -0.0128, 0.0163, 0.0423, 0.0633, 0.0852, 0.1072, 0.1162, 0.1132, 0.1463, 0.2102, 0.1924, 0.1969, 0.1708, 0.1708, 0.1399, 0.1201, 0.1093, 0.0957, 0.0819, 0.1137, 0.1369, 0.1335, 0.1366, 0.1686, 0.1686, 0.1465, 0.1019, 0.1331, 0.2104, 0.3075, 0.3764, 0.3957, 0.3672, 0.4095, 0.3798, 0.4211, 0.3469, 0.3261, 0.2699, 0.2625, 0.2947, 0.2625, 0.4642, 0.5819, 0.573, 0.4971, 0.4747]}
{"unit_id": "quote:1623151071760637952", "ticker_idx": 1, "ts": "2023-02-08T02:45:46+00:00", "symbol": "ROKU", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Good catch @andrewkimARK!", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish on Connected TV sector and ROKU/DASH partnership as beneficiaries of $70B US / $170B global ad-dollar shift from linear to digital TV.", "resolved_tickers": ["ROKU"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLC", "bench_c_reason": "industry='Entertainment'", "bench_c_industry": "Entertainment", "unit_kind": "quote", "lang": "en", "tweet_text": "Connected TV should be a prime beneficiary of the $70 billion shift in advertising dollars from linear to digital TV in the US and the $170 billion shift globally. Good catch @andrewkimARK!", "reply_text": null, "parent_text": null, "quoted_text": "1/ The $ROKU + $DASH partnership announced today seems like one of the most intuitive use cases for bottom-funnel CTV advertising, finally giving food services the ability to granularly target high-intent customers. We outline some potential value-add scenarios below. https://t.co/yJnInaXrV6", "parent_author": null, "ret_m1d": 0.05752963813303169, "ret_signed_m1d": 0.05752963813303169, "alpha_spy_m1d": 0.046473979521908904, "alpha_c_m1d": 0.025095245348153217, "bench_spy_m1d": 0.011055658611122787, "bench_c_m1d": 0.032434392784878474, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.06954309478457932, "ret_signed_p1d": -0.06954309478457932, "alpha_spy_p1d": -0.06087392041665263, "alpha_c_p1d": -0.047685217738186014, "bench_spy_p1d": -0.00866917436792669, "bench_c_p1d": -0.021857877046393304, "ret_p1w": 0.07428093600151287, "ret_signed_p1w": 0.07428093600151287, "alpha_spy_p1w": 0.06617161835615759, "alpha_c_p1w": 0.08238937742603114, "bench_spy_p1w": 0.008109317645355274, "bench_c_p1w": -0.008108441424518276, "ret_p1m": 0.0240271069425555, "ret_signed_p1m": 0.0240271069425555, "alpha_spy_p1m": 0.07051436260505817, "alpha_c_p1m": 0.0896007380817353, "bench_spy_p1m": -0.04648725566250267, "bench_c_p1m": -0.0655736311391798, "ret_p3m": -0.05736039724489772, "ret_signed_p3m": -0.05736039724489772, "alpha_spy_p3m": -0.06628593358756052, "alpha_c_p3m": -0.09880421584122656, "bench_spy_p3m": 0.008925536342662799, "bench_c_p3m": 0.04144381859632884, "ret_p6m": 0.4969543740249447, "ret_signed_p6m": 0.4969543740249447, "alpha_spy_p6m": 0.3957085261470552, "alpha_c_p6m": 0.3065199561565939, "bench_spy_p6m": 0.10124584787788948, "bench_c_p6m": 0.1904344178683508, "price_path": [0.0372, -0.0096, -0.0005, -0.0376, -0.0455, -0.0584, -0.092, -0.0802, -0.0438, -0.0438, -0.0511, -0.0878, -0.0832, 0.0046, 0.0115, 0.0276, -0.0453, -0.1337, -0.1333, -0.1386, -0.1245, -0.1279, -0.1112, -0.1455, -0.2118, -0.2242, -0.247, -0.2724, -0.2733, -0.2832, -0.3003, -0.3003, -0.3362, -0.3435, -0.3137, -0.3113, -0.3113, -0.3137, -0.2834, -0.2765, -0.2623, -0.2354, -0.2027, -0.1714, -0.1684, -0.1401, -0.1401, -0.1365, -0.1499, -0.155, -0.1135, -0.0755, -0.1098, -0.1176, -0.1103, -0.0518, -0.0863, -0.0271, 0.0161, 0.1078, 0.0633, 0.0526, 0.0575, 0.0, -0.0695, -0.0711, -0.0633, -0.0416, 0.0743, 0.1941, 0.2108, 0.2108, 0.1105, 0.1648, 0.1301, 0.0601, 0.055, 0.0946, 0.0768, 0.0834, 0.1103, 0.0768, 0.0558, 0.0701, 0.024, 0.0151, 0.0074, 0.0442, 0.0548, 0.1029, 0.087, 0.046, 0.1152, 0.065, 0.0694, 0.0152, 0.0629, 0.0254, 0.0814, 0.0426, 0.1137, 0.1118, 0.1188, 0.0367, 0.0843, 0.0843, 0.0883, 0.0824, 0.0232, 0.0714, 0.0443, 0.0909, 0.0971, 0.0447, -0.003, -0.0178, -0.0007, -0.0234, -0.043, -0.0354, -0.0489, -0.0409, -0.0635, -0.0946, -0.1068, -0.0699, -0.0574, -0.0623, -0.0536, -0.0381, -0.0909, -0.086, -0.1162, -0.1107, -0.0895, -0.1098, -0.042, -0.0545, -0.0156, -0.0765, -0.0516, -0.0516, -0.0232, -0.0152, -0.0093, 0.0176, 0.0308, 0.0657, 0.1511, 0.1692, 0.1756, 0.2132, 0.2452, 0.2415, 0.214, 0.1961, 0.1961, 0.1499, 0.0917, 0.0689, 0.0587, 0.065, 0.0746, 0.1036, 0.066, 0.0822, 0.1056, 0.1056, 0.101, 0.0423, 0.0631, 0.1484, 0.2763, 0.2914, 0.2929, 0.2525, 0.2832, 0.28, 0.308, 0.2452, 0.2437, 0.2159, 0.1912, 0.2093, 0.1538, 0.5162, 0.6289, 0.6496, 0.544, 0.497]}
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{"unit_id": "quote:1846319737766379551", "ticker_idx": 0, "ts": "2024-10-15T22:38:23+00:00", "symbol": "ETH-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "ARKInvest believes that the Ethereum network is a big idea that will transform the financial services industry", "tweet_type": "news_reaction", "timeline": "years", "summary": "Endorses ARK's bullish thesis: ETH is a transformative big idea powering DeFi as programmable collateral.", "resolved_tickers": ["ETH-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "This thoughtful paper by @LorenzoARK explains why @ARKInvest believes that the Ethereum network is a big idea that will transform the financial services industry.", "reply_text": null, "parent_text": null, "quoted_text": "How does Ethereum &amp; its staking yield play an increasingly significant role in establishing the endogenous benchmark in decentralized finance? @LorenzoARK analyzes how the asset is positioning itself as the programmable collateral powering all major DeFi applications. Read here.", "parent_author": null, "ret_m1d": 0.008778870603374456, "ret_signed_m1d": 0.008778870603374456, "alpha_spy_m1d": 0.0009484029656567916, "alpha_c_m1d": null, "bench_spy_m1d": 0.007830467637717664, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.0019493612019787498, "ret_signed_p1d": 0.0019493612019787498, "alpha_spy_p1d": -0.002397136106924158, "alpha_c_p1d": null, "bench_spy_p1d": 0.004346497308902908, "bench_c_p1d": null, "ret_p1w": 0.0054395309241872525, "ret_signed_p1w": 0.0054395309241872525, "alpha_spy_p1w": -0.0006659899128742541, "alpha_c_p1w": null, "bench_spy_p1w": 0.006105520837061507, "bench_c_p1w": null, "ret_p1m": 0.22508404793360026, "ret_signed_p1m": 0.22508404793360026, "alpha_spy_p1m": 0.19505548563501995, "alpha_c_p1m": null, "bench_spy_p1m": 0.030028562298580308, "bench_c_p1m": null, "ret_p3m": 0.2538228858077922, "ret_signed_p3m": 0.2538228858077922, "alpha_spy_p3m": 0.2492285285280924, "alpha_c_p3m": null, "bench_spy_p3m": 0.004594357279699812, "bench_c_p3m": null, "ret_p6m": -0.359928635842502, "ret_signed_p6m": -0.359928635842502, "alpha_spy_p6m": -0.3122249679221404, "alpha_c_p6m": null, "bench_spy_p6m": -0.047703667920361625, "bench_c_p6m": null, "price_path": [0.3147, 0.3452, 0.3202, 0.3361, 0.2802, 0.2181, 0.2571, 0.2742, 0.2581, 0.2399, 0.2285, 0.1458, -0.0725, -0.0565, -0.1034, 0.0297, -0.0025, 0.0454, 0.0375, 0.0218, -0.0138, -0.0049, 0.012, -0.0126, 0.0097, 0.0065, 0.0608, 0.0289, -0.0565, -0.0298, -0.0296, -0.0308, -0.026, -0.0711, -0.0603, -0.0914, -0.1466, -0.095, -0.0831, -0.1021, -0.0937, -0.0631, -0.1192, -0.1014, -0.0907, -0.0542, -0.0172, 0.0163, 0.0185, -0.0102, 0.01, 0.0345, -0.0011, -0.0603, -0.0924, -0.0983, -0.0734, -0.0707, -0.0638, -0.0912, -0.0853, -0.065, 0.0088, 0.0, 0.0019, -0.0007, 0.0136, 0.0229, 0.0054, -0.0372, -0.0274, -0.0653, -0.0156, 0.0123, 0.0197, -0.0346, -0.0361, -0.0802, -0.0704, 0.0453, 0.1111, 0.1367, 0.295, 0.2457, 0.2251, 0.1738, 0.1907, 0.2309, 0.1939, 0.1789, 0.2897, 0.2784, 0.3099, 0.2765, 0.4034, 0.3737, 0.3789, 0.3984, 0.3894, 0.474, 0.4624, 0.5371, 0.427, 0.3936, 0.4708, 0.49, 0.5008, 0.5301, 0.4915, 0.3886, 0.3115, 0.3325, 0.3107, 0.34, 0.3404, 0.2783, 0.2774, 0.2879, 0.2788, 0.2868, 0.3244, 0.3833, 0.4154, 0.2976, 0.2764, 0.2354, 0.2538, 0.2032, 0.237, 0.3241, 0.2695, 0.3331, 0.2579, 0.2768, 0.2434, 0.2796, 0.27, 0.2198, 0.1808, 0.1945, 0.2463, 0.2656, 0.1069, 0.0495, 0.0697, 0.0316, 0.0062, 0.0212, -0.0012, 0.0502, 0.0268, 0.0461, 0.0526, 0.0243, 0.0421, 0.0516, 0.0206, -0.0354, -0.0431, -0.1054, -0.1153, -0.1413, -0.1767, -0.1673, -0.1397, -0.1549, -0.1792, -0.2858, -0.2633, -0.2675, -0.2851, -0.2673, -0.2606, -0.2584, -0.2104, -0.2394, -0.246, -0.2028, -0.2065, -0.229, -0.2316, -0.2726, -0.3003, -0.2688, -0.3111, -0.3033, -0.3034, -0.4032, -0.4349, -0.3599]}
{"unit_id": "quote:1006658415190560769", "ticker_idx": 0, "ts": "2018-06-12T22:04:03+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "As Venezuelans shift into #bitcoin in a desperate attempt to salvage their savings and purchasing power in the face of 40,000% inflation", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish BTC as Venezuelan hyperinflation drives adoption as a savings vehicle.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "As Venezuelans shift into #bitcoin in a desperate attempt to salvage their savings and purchasing power in the face of 40,000% inflation, bolivars are imploding much faster than they would have in a currency crisis historically. https://t.co/DFIWw4Otiq", "reply_text": null, "parent_text": null, "quoted_text": "The Venezuelan #bolivar isn't worth the paper it's printed on. The black-market exchange rate is now 2,220,978 VEF/USD. https://t.co/mCX7ifNqao", "parent_author": null, "ret_m1d": 0.04930755311696977, "ret_signed_m1d": 0.04930755311696977, "alpha_spy_m1d": 0.050598500039816696, "alpha_c_m1d": null, "bench_spy_m1d": -0.001290946922846925, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.03531559589050193, "ret_signed_p1d": -0.03531559589050193, "alpha_spy_p1d": -0.032124413231943705, "alpha_c_p1d": null, "bench_spy_p1d": -0.0031911826585582226, "bench_c_p1d": null, "ret_p1w": 0.02849739030091447, "ret_signed_p1w": 0.02849739030091447, "alpha_spy_p1w": 0.03632392239576909, "alpha_c_p1w": null, "bench_spy_p1w": -0.007826532094854621, "bench_c_p1w": null, "ret_p1m": -0.028507998079917773, "ret_signed_p1m": -0.028507998079917773, "alpha_spy_p1m": -0.025578991617506652, "alpha_c_p1m": null, "bench_spy_p1m": -0.002929006462411121, "bench_c_p1m": null, "ret_p3m": -0.017515000920206303, "ret_signed_p3m": -0.017515000920206303, "alpha_spy_p3m": -0.05326450509146974, "alpha_c_p3m": null, "bench_spy_p3m": 0.035749504171263435, "bench_c_p3m": null, "ret_p6m": -0.4296885993748235, "ret_signed_p6m": -0.4296885993748235, "alpha_spy_p6m": -0.4073606592359327, "alpha_c_p6m": null, "bench_spy_p6m": -0.022327940138890834, "bench_c_p6m": null, "price_path": [0.2611, 0.2668, 0.3112, 0.3541, 0.3565, 0.326, 0.349, 0.2472, 0.19, 0.2085, 0.0886, 0.0468, 0.0762, 0.1327, 0.0412, 0.0348, 0.0082, 0.0286, 0.0383, 0.0586, 0.1985, 0.1996, 0.2243, 0.2005, 0.2402, 0.2601, 0.3439, 0.3568, 0.4733, 0.3439, 0.4101, 0.3653, 0.4038, 0.3854, 0.4031, 0.4803, 0.4738, 0.424, 0.403, 0.4167, 0.374, 0.2824, 0.3243, 0.2929, 0.2714, 0.2297, 0.2535, 0.279, 0.2217, 0.1482, 0.1527, 0.1364, 0.0841, 0.1352, 0.1252, 0.1385, 0.1457, 0.1416, 0.1597, 0.1628, 0.1665, 0.1584, 0.0493, 0.0, -0.0353, 0.0141, -0.0191, 0.0232, 0.0285, 0.0295, 0.0224, -0.0758, -0.0506, -0.0742, -0.0646, -0.1031, -0.0553, 0.0048, -0.008, 0.0023, 0.0086, 0.0138, 0.0242, -0.0383, -0.0285, -0.0537, -0.0523, 0.0242, 0.1122, 0.1198, 0.1344, 0.1172, 0.1715, 0.2798, 0.2429, 0.208, 0.2404, 0.2428, 0.182, 0.1584, 0.1496, 0.1294, 0.0561, 0.0259, -0.042, -0.0021, -0.0604, -0.0433, -0.0581, -0.0416, -0.0376, -0.0003, -0.0416, -0.0142, -0.0312, -0.0072, 0.0209, 0.0459, 0.0781, 0.0706, 0.0601, 0.0692, 0.103, 0.1184, 0.032, -0.0081, -0.0175, -0.0384, -0.0397, -0.035, -0.0099, -0.0106, -0.0458, -0.0321, -0.0279, -0.0095, 0.0232, 0.002, -0.0206, -0.0133, 0.0143, 0.0094, 0.0011, -0.004, -0.0121, -0.0009, 0.0061, 0.0106, 0.0092, 0.0005, -0.0495, -0.0468, 0.0022, 0.0021, -0.0058, -0.0161, -0.0178, -0.0145, -0.0162, -0.0131, -0.0161, -0.0163, -0.0379, -0.0377, -0.0402, -0.0311, -0.0295, -0.0247, -0.0184, -0.0079, -0.0195, -0.0299, -0.0321, -0.0339, -0.1282, -0.1419, -0.153, -0.2599, -0.3237, -0.3008, -0.3367, -0.3396, -0.4259, -0.4196, -0.3532, -0.35, -0.3897, -0.4084, -0.3989, -0.4297]}
{"unit_id": "quote:886065233915256832", "ticker_idx": 0, "ts": "2017-07-15T03:29:48+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$TSLA will diagnose 90% of the problems remotely and send vans to repair 80% of them...delighting the customer, good for business!", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish TSLA on mobile service model: remote diagnostics + van repairs delight customers and boost business.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "$TSLA will diagnose 90% of the problems remotely and send vans to repair 80% of them...delighting the customer, good for business! https://t.co/rN3er9cuwQ", "reply_text": null, "parent_text": null, "quoted_text": "Tesla readies for Model 3 with plan to add hundreds of repair vans and 1,400 technicians https://t.co/hFkYrk97jT", "parent_author": null, "ret_m1d": 0.025690745413898375, "ret_signed_m1d": 0.025690745413898375, "alpha_spy_m1d": 0.025568787131903914, "alpha_c_m1d": 0.02812418234967018, "bench_spy_m1d": 0.0001219582819944609, "bench_c_m1d": -0.0024334369357718044, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.027130254389051922, "ret_signed_p1d": 0.027130254389051922, "alpha_spy_p1d": 0.026600912652816833, "alpha_c_p1d": 0.022595363351907816, "bench_spy_p1d": 0.0005293417362350894, "bench_c_p1d": 0.0045348910371441065, "ret_p1w": 0.0718152844715576, "ret_signed_p1w": 0.0718152844715576, "alpha_spy_p1w": 0.06656130741911381, "alpha_c_p1w": 0.0672803934344135, "bench_spy_p1w": 0.005253977052443792, "bench_c_p1w": 0.0045348910371441065, "ret_p1m": 0.13380477200045382, "ret_signed_p1m": 0.13380477200045382, "alpha_spy_p1m": 0.12981359807139725, "alpha_c_p1m": 0.1419896344662851, "bench_spy_p1m": 0.003991173929056568, "bench_c_p1m": -0.008184862465831277, "ret_p3m": 0.11299559051336816, "ret_signed_p3m": 0.11299559051336816, "alpha_spy_p3m": 0.07074510503382103, "alpha_c_p3m": 0.1053506025986839, "bench_spy_p3m": 0.04225048547954713, "bench_c_p3m": 0.007644987914684265, "ret_p6m": 0.04418439358837922, "ret_signed_p6m": 0.04418439358837922, "alpha_spy_p6m": -0.08526091446968254, "alpha_c_p6m": -0.09296811908657632, "bench_spy_p6m": 0.12944530805806176, "bench_c_p6m": 0.13715251267495554, "price_path": [-0.044, -0.0534, -0.0437, -0.0361, -0.0181, -0.0294, -0.0342, -0.0172, 0.0102, -0.0021, -0.0268, -0.0754, -0.0351, -0.0387, 0.0053, 0.0177, 0.011, 0.0164, -0.0115, -0.008, -0.0421, -0.0204, -0.0273, -0.0289, -0.0492, -0.0293, -0.0086, 0.0174, 0.0174, 0.0486, 0.0671, 0.0651, 0.0635, 0.0868, 0.1041, 0.1254, 0.1578, 0.1181, 0.1234, 0.1764, 0.1912, 0.1745, 0.1622, 0.1572, 0.1648, 0.1778, 0.1973, 0.1999, 0.1812, 0.1339, 0.1617, 0.1289, 0.1316, 0.1034, 0.1034, 0.0235, -0.0336, -0.0199, -0.011, 0.0239, 0.0311, 0.012, 0.0257, 0.0, 0.0271, 0.0178, 0.0324, 0.0276, 0.0718, 0.0627, 0.076, 0.0466, 0.0485, 0.0122, 0.0, 0.0198, 0.0861, 0.1168, 0.1114, 0.1428, 0.1376, 0.1121, 0.1198, 0.1384, 0.1338, 0.1356, 0.1012, 0.0873, 0.0572, 0.0682, 0.1039, 0.1044, 0.0891, 0.0816, 0.087, 0.1052, 0.1137, 0.1121, 0.1121, 0.0939, 0.0781, 0.0971, 0.0746, 0.1381, 0.1351, 0.146, 0.1817, 0.1885, 0.2047, 0.1738, 0.17, 0.1468, 0.0986, 0.0795, 0.0804, 0.067, 0.0627, 0.0674, 0.0687, 0.0894, 0.1109, 0.1119, 0.1168, 0.0731, 0.1127, 0.1096, 0.113, 0.1127, 0.0971, 0.1132, 0.1254, 0.1009, 0.0799, 0.0546, 0.0556, 0.0196, 0.0207, 0.0041, 0.0016, 0.0374, 0.0047, -0.0636, -0.0422, -0.0525, -0.0423, -0.0475, -0.0519, -0.0519, -0.013, -0.034, -0.0259, -0.0221, -0.0141, -0.0339, -0.0055, -0.0218, -0.0218, -0.0126, -0.0086, -0.0063, -0.0376, -0.0335, -0.0408, -0.045, -0.0497, -0.0197, -0.0261, -0.0139, 0.0292, 0.0672, 0.0609, 0.0573, 0.0747, 0.0604, 0.0361, 0.0294, 0.0378, 0.0176, 0.0176, -0.0071, -0.0248, -0.0132, -0.0257, -0.0257, 0.003, -0.0073, -0.0155, -0.0094, 0.0527, 0.0442]}
{"unit_id": "quote:841012042748239872", "ticker_idx": 0, "ts": "2017-03-12T19:44:30+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Classic bull market behavior...#bitcoin has been resilient in the face of #Bitfinex hack, Chinese crackdown, and #SEC's no-go to the ETF", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish BTC: resilience amid multiple headwinds is classic bull market behavior.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Classic bull market behavior...#bitcoin has been resilient in the face of #Bitfinex hack, Chinese crackdown, and #SEC's no-go to the ETF. https://t.co/jS38oeOqZk", "reply_text": null, "parent_text": null, "quoted_text": "Bitcoin Surges Back Above $1200, Erases ETF-Denial Losses https://t.co/lUnzYKJOMy", "parent_author": null, "ret_m1d": -0.09351262186890874, "ret_signed_m1d": -0.09351262186890874, "alpha_spy_m1d": -0.09300815861765943, "alpha_c_m1d": null, "bench_spy_m1d": -0.0005044632512493097, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.006558831552744948, "ret_signed_p1d": 0.006558831552744948, "alpha_spy_p1d": 0.010385335433648835, "alpha_c_p1d": null, "bench_spy_p1d": -0.0038265038809038865, "bench_c_p1d": null, "ret_p1w": -0.14423830860604991, "ret_signed_p1w": -0.14423830860604991, "alpha_spy_p1w": -0.1441964681802318, "alpha_c_p1w": null, "bench_spy_p1w": -4.18404258181182e-05, "bench_c_p1w": null, "ret_p1m": -0.02184397787173442, "ret_signed_p1m": -0.02184397787173442, "alpha_spy_p1m": -0.014580688037085121, "alpha_c_p1m": null, "bench_spy_p1m": -0.0072632898346493, "bench_c_p1m": null, "ret_p3m": 1.2774368604331658, "ret_signed_p3m": 1.2774368604331658, "alpha_spy_p3m": 1.2478729952220604, "alpha_c_p3m": null, "bench_spy_p3m": 0.029563865211105433, "bench_c_p3m": null, "ret_p6m": 2.552608634518275, "ret_signed_p6m": 2.552608634518275, "alpha_spy_p6m": 2.5083479295747284, "alpha_c_p6m": null, "bench_spy_p6m": 0.044260704943546614, "bench_c_p6m": null, "price_path": [-0.3656, -0.3684, -0.3629, -0.3565, -0.3499, -0.3228, -0.2982, -0.2516, -0.2633, -0.2425, -0.2078, -0.2098, -0.2197, -0.1706, -0.1527, -0.0627, -0.1774, -0.2676, -0.2671, -0.2632, -0.3687, -0.3467, -0.3311, -0.325, -0.263, -0.2803, -0.2702, -0.2735, -0.2524, -0.2754, -0.2682, -0.2552, -0.2534, -0.2529, -0.2123, -0.1972, -0.1787, -0.164, -0.1573, -0.1385, -0.1371, -0.1928, -0.1975, -0.1959, -0.1846, -0.1822, -0.166, -0.1507, -0.1233, -0.0947, -0.0929, -0.0529, -0.0473, -0.0422, -0.0422, -0.0076, 0.0155, 0.035, 0.0332, -0.0068, -0.0665, -0.0353, -0.0935, 0.0, 0.0066, 0.0144, -0.0358, -0.1069, -0.1442, -0.0904, -0.1484, -0.1569, -0.239, -0.1511, -0.15, -0.1558, -0.1668, -0.13, -0.0715, -0.0801, -0.087, -0.04, -0.0447, -0.0364, -0.0218, -0.0256, -0.0508, -0.0523, -0.0309, -0.0164, -0.0176, -0.0023, -0.008, 0.0148, 0.0273, 0.0399, 0.0697, 0.0686, 0.154, 0.1793, 0.2096, 0.2482, 0.2626, 0.3989, 0.4249, 0.4507, 0.5006, 0.3996, 0.4112, 0.4079, 0.4929, 0.5331, 0.6135, 0.7642, 0.8836, 0.9836, 0.871, 0.7878, 0.831, 0.7659, 0.856, 0.9546, 1.0201, 1.181, 1.3242, 1.2178, 1.2774, 1.2922, 1.1589, 1.2055, 1.0345, 1.0006, 1.0444, 1.1021, 1.2094, 1.1829, 1.1961, 1.2282, 1.0119, 1.0719, 1.0901, 1.0613, 1.0138, 1.0814, 1.1119, 1.1121, 1.1175, 1.0445, 0.9259, 0.8977, 0.9472, 0.914, 0.8129, 0.8089, 0.8823, 0.8454, 1.2872, 1.1655, 1.2362, 1.0914, 1.0533, 1.1688, 1.2802, 1.334, 1.2065, 1.2004, 1.2767, 1.3507, 1.7428, 1.7761, 1.7132, 1.7447, 1.9634, 2.5109, 2.3946, 2.5527, 2.5162, 2.3773, 2.2484, 2.3286, 2.37, 2.5186, 2.5486, 2.5576, 2.717, 2.7058, 2.8179, 2.971, 2.4388, 2.5526]}
{"unit_id": "quote:896751460523945984", "ticker_idx": 0, "ts": "2017-08-13T15:13:03+00:00", "symbol": "NASDAQ", "kind": "index", "geography": "US", "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "After 14 years in a range, the #NASDAQ broke out in 2014, reminiscent of the breakout after 16 years in 1982!", "tweet_type": "prediction", "timeline": "years", "summary": "Bullish NASDAQ: rejects 1929-crash analogy, drawing parallel to 1982 secular breakout as evidence of sustained uptrend.", "resolved_tickers": ["QQQ"], "resolution_method": "etf", "resolution_reason": "NASDAQ index; QQQ is standard ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Wrong index, @charliebilello.  After 14 years in a range, the #NASDAQ broke out in 2014, reminiscent of the breakout after 16 years in 1982! https://t.co/dA2XnH6999", "reply_text": null, "parent_text": null, "quoted_text": "If this is 1929, the Dow would go back to 1989 levels, wiping out 28 years of gains. Great read via @michaelbatnick\n\nhttps://t.co/YIhlbSpnTW https://t.co/WECl63rsT3", "parent_author": null, "ret_m1d": -0.012714231892438699, "ret_signed_m1d": -0.012714231892438699, "alpha_spy_m1d": -0.0028983824165257355, "alpha_c_m1d": -0.0028983824165257355, "bench_spy_m1d": -0.009815849475912963, "bench_c_m1d": -0.009815849475912963, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0006948698921840357, "ret_signed_p1d": 0.0006948698921840357, "alpha_spy_p1d": 0.0008166126778053062, "alpha_c_p1d": 0.0008166126778053062, "bench_spy_p1d": -0.0001217427856212705, "bench_c_p1d": -0.0001217427856212705, "ret_p1w": -0.020009467124880942, "ret_signed_p1w": -0.020009467124880942, "alpha_spy_p1w": -0.0052452066870884995, "alpha_c_p1w": -0.0052452066870884995, "bench_spy_p1w": -0.014764260437792442, "bench_c_p1w": -0.014764260437792442, "ret_p1m": 0.015910790657695628, "ret_signed_p1m": 0.015910790657695628, "alpha_spy_p1m": 0.0016733483301440977, "alpha_c_p1m": 0.0016733483301440977, "bench_spy_p1m": 0.01423744232755153, "bench_c_p1m": 0.01423744232755153, "ret_p3m": 0.07014827260916334, "ret_signed_p3m": 0.07014827260916334, "alpha_spy_p3m": 0.01777827653774766, "alpha_c_p3m": 0.01777827653774766, "bench_spy_p3m": 0.05236999607141568, "bench_c_p3m": 0.05236999607141568, "ret_p6m": 0.13253312089590374, "ret_signed_p6m": 0.13253312089590374, "alpha_spy_p6m": 0.029879873968222226, "alpha_c_p6m": 0.029879873968222226, "bench_spy_p6m": 0.10265324692768152, "bench_c_p6m": 0.10265324692768152, "price_path": [-0.0572, -0.0489, -0.0449, -0.0369, -0.0359, -0.0315, -0.0232, -0.0215, -0.0215, -0.0207, -0.021, -0.0172, -0.006, -0.0062, -0.0101, -0.0063, -0.0052, -0.0301, -0.0353, -0.0275, -0.0317, -0.036, -0.0402, -0.0241, -0.0318, -0.0222, -0.0224, -0.0187, -0.0233, -0.041, -0.0272, -0.044, -0.0437, -0.0538, -0.0538, -0.0445, -0.0531, -0.0429, -0.0366, -0.0339, -0.0224, -0.0203, -0.0126, -0.0121, -0.0055, 0.0003, 0.0017, 0.0013, 0.0058, 0.0033, 0.0065, 0.0002, -0.0006, -0.0049, -0.0026, 0.0001, -0.0038, -0.0019, 0.0044, 0.0026, 0.0013, -0.0201, -0.0127, 0.0, 0.0007, 0.0024, -0.0181, -0.0188, -0.02, -0.0051, -0.0086, -0.0115, -0.0136, -0.0106, -0.0067, 0.005, 0.0158, 0.0144, 0.0144, 0.0053, 0.0083, 0.0107, 0.0019, 0.0135, 0.0159, 0.0173, 0.0113, 0.0148, 0.0135, 0.0152, 0.0121, 0.0059, 0.0049, -0.0057, -0.0031, 0.0059, 0.0055, 0.0128, 0.0137, 0.0158, 0.0168, 0.0268, 0.0282, 0.027, 0.0277, 0.0308, 0.0289, 0.0329, 0.0364, 0.0378, 0.0365, 0.0327, 0.0355, 0.0287, 0.0305, 0.0266, 0.0233, 0.0531, 0.0555, 0.0594, 0.0591, 0.0571, 0.0672, 0.0708, 0.0715, 0.0758, 0.0701, 0.0701, 0.0714, 0.0675, 0.0625, 0.0761, 0.072, 0.0711, 0.0828, 0.0841, 0.0841, 0.088, 0.0876, 0.0903, 0.0713, 0.0803, 0.0757, 0.0633, 0.064, 0.0688, 0.0724, 0.0772, 0.0855, 0.0841, 0.0862, 0.0854, 0.0977, 0.1069, 0.1004, 0.0992, 0.0993, 0.0981, 0.0981, 0.0921, 0.0923, 0.0936, 0.0868, 0.0868, 0.1059, 0.1166, 0.1186, 0.1298, 0.1342, 0.1343, 0.1316, 0.1394, 0.1477, 0.1477, 0.1445, 0.1568, 0.157, 0.1607, 0.1731, 0.1828, 0.1751, 0.1747, 0.1927, 0.1869, 0.1771, 0.182, 0.172, 0.1486, 0.1033, 0.1325]}
{"unit_id": "quote:936644641855868928", "ticker_idx": 0, "ts": "2017-12-01T17:14:19+00:00", "symbol": "SPY", "kind": "etf", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Today's market is much healthier, thanks to the wall of worry exemplified by articles like this one", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish on equities: today's market is healthier than the Roaring '20s because it's climbing a wall of worry, not ignoring risk.", "resolved_tickers": ["SPY"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "During the Roaring '20s, #equities were \"to the moon.\"  They were not scaling the \"wall of worry\" and got slammed by the Great #Depression.  Today's market is much healthier, thanks to the wall of worry exemplified by articles like this one. https://t.co/hUIyRGbLMS", "reply_text": null, "parent_text": null, "quoted_text": "Goldman: The Last Time Stocks Went This Long Without A 10% Correction Was Just Before The Great Depression: https://t.co/RiOmY2Koy7 @zerohedge $SPY $SPX https://t.co/7YOFNdCO0T", "parent_author": null, "ret_m1d": 0.0020798372606081195, "ret_signed_m1d": 0.0020798372606081195, "alpha_spy_m1d": 0.0, "alpha_c_m1d": 0.0, "bench_spy_m1d": 0.0020798372606081195, "bench_c_m1d": 0.0020798372606081195, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.0012100428084352854, "ret_signed_p1d": -0.0012100428084352854, "alpha_spy_p1d": 0.0, "alpha_c_p1d": 0.0, "bench_spy_p1d": -0.0012100428084352854, "bench_c_p1d": -0.0012100428084352854, "ret_p1w": 0.003970706224205811, "ret_signed_p1w": 0.003970706224205811, "alpha_spy_p1w": 0.0, "alpha_c_p1w": 0.0, "bench_spy_p1w": 0.003970706224205811, "bench_c_p1w": 0.003970706224205811, "ret_p1m": 0.014233173832582047, "ret_signed_p1m": 0.014233173832582047, "alpha_spy_p1m": 0.0, "alpha_c_p1m": 0.0, "bench_spy_p1m": 0.014233173832582047, "bench_c_p1m": 0.014233173832582047, "ret_p3m": 0.03243791044022837, "ret_signed_p3m": 0.03243791044022837, "alpha_spy_p3m": 0.0, "alpha_c_p3m": 0.0, "bench_spy_p3m": 0.03243791044022837, "bench_c_p3m": 0.03243791044022837, "ret_p6m": 0.03848081085584654, "ret_signed_p6m": 0.03848081085584654, "alpha_spy_p6m": 0.0, "alpha_c_p6m": 0.0, "bench_spy_p6m": 0.03848081085584654, "bench_c_p6m": 0.03848081085584654, "price_path": [-0.0742, -0.071, -0.0711, -0.0722, -0.0623, -0.0592, -0.0587, -0.059, -0.0577, -0.0557, -0.0548, -0.0545, -0.057, -0.0568, -0.0587, -0.0582, -0.0545, -0.0534, -0.05, -0.0459, -0.0439, -0.0427, -0.0371, -0.0382, -0.0397, -0.0372, -0.0357, -0.0371, -0.036, -0.0347, -0.034, -0.033, -0.0328, -0.0278, -0.0316, -0.0299, -0.0347, -0.0334, -0.0255, -0.0292, -0.0276, -0.0264, -0.026, -0.0227, -0.0212, -0.0219, -0.0202, -0.0238, -0.0241, -0.0232, -0.0254, -0.0303, -0.0221, -0.025, -0.0233, -0.0169, -0.0178, -0.0178, -0.0155, -0.016, -0.006, -0.0066, 0.0021, 0.0, -0.0012, -0.0048, -0.0046, -0.0015, 0.004, 0.007, 0.0088, 0.0087, 0.0045, 0.0129, 0.0193, 0.0154, 0.0149, 0.017, 0.0167, 0.0167, 0.0155, 0.016, 0.0181, 0.0142, 0.0142, 0.0215, 0.028, 0.0323, 0.0392, 0.0411, 0.0434, 0.0418, 0.0494, 0.0563, 0.0563, 0.0527, 0.0627, 0.0609, 0.0657, 0.0744, 0.0767, 0.0763, 0.0767, 0.0892, 0.082, 0.0709, 0.0714, 0.0702, 0.0469, 0.0031, 0.0229, 0.0173, -0.0208, -0.0061, 0.0085, 0.011, 0.0246, 0.0377, 0.038, 0.038, 0.0315, 0.0264, 0.0277, 0.0441, 0.0562, 0.043, 0.0324, 0.0174, 0.0227, 0.0345, 0.0371, 0.0367, 0.0417, 0.0599, 0.0585, 0.0517, 0.0463, 0.0452, 0.0463, 0.0321, 0.0339, 0.0319, 0.0061, -0.0153, 0.0116, -0.0056, -0.0085, 0.0041, 0.0041, -0.0175, -0.0049, 0.0057, 0.0136, -0.009, -0.0041, 0.0118, 0.0065, 0.0147, 0.0118, 0.0201, 0.031, 0.0318, 0.026, 0.0173, 0.0172, 0.0035, 0.006, 0.0162, 0.0172, 0.0093, 0.0111, 0.0043, 0.0021, 0.0151, 0.0185, 0.0185, 0.0284, 0.038, 0.0412, 0.0416, 0.0345, 0.0388, 0.0379, 0.0354, 0.0431, 0.0402, 0.0431, 0.041, 0.0385, 0.0385]}
{"unit_id": "quote:995377528318644224", "ticker_idx": 0, "ts": "2018-05-12T18:57:50+00:00", "symbol": "DCR-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Decred could solve most of Bitcoin's structural problems. Given its strong governance, Decred may be able to overcome the 21 million unit limitation", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish Decred: strong governance could solve Bitcoin's structural limits including the 21M supply cap.", "resolved_tickers": ["DCR-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "If I understand it correctly, #Decred could solve most of #Bitcoin's structural problems. Given its strong governance, #Decred may be able to overcome the 21 million unit limitation, if 21mm ever inhibits the network from evolving. Thanks @placeholdervc for enlightening us! https://t.co/zTQ2muUra1", "reply_text": null, "parent_text": null, "quoted_text": "Decred Investment Thesis: https://t.co/afI9GJbmmt https://t.co/rpZiytjfgz", "parent_author": null, "ret_m1d": -0.15439110157606717, "ret_signed_m1d": -0.15439110157606717, "alpha_spy_m1d": -0.15391486143034494, "alpha_c_m1d": null, "bench_spy_m1d": -0.0004762401457222287, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.048429751326319326, "ret_signed_p1d": -0.048429751326319326, "alpha_spy_p1d": -0.04154220175170631, "alpha_c_p1d": null, "bench_spy_p1d": -0.006887549574613017, "bench_c_p1d": null, "ret_p1w": 0.1419589840602975, "ret_signed_p1w": 0.1419589840602975, "alpha_spy_p1w": 0.14053057989364848, "alpha_c_p1w": null, "bench_spy_p1w": 0.0014284041666490221, "bench_c_p1w": null, "ret_p1m": -0.1527650549922719, "ret_signed_p1m": -0.1527650549922719, "alpha_spy_p1m": -0.17452497265060996, "alpha_c_p1m": null, "bench_spy_p1m": 0.021759917658338068, "bench_c_p1m": null, "ret_p3m": -0.5378622761369943, "ret_signed_p3m": -0.5378622761369943, "alpha_spy_p3m": -0.5868401182877704, "alpha_c_p3m": null, "bench_spy_p3m": 0.04897784215077605, "bench_c_p3m": null, "ret_p6m": -0.5990378963292733, "ret_signed_p6m": -0.5990378963292733, "alpha_spy_p6m": -0.6159853152803672, "alpha_c_p6m": null, "bench_spy_p6m": 0.016947418951093862, "bench_c_p6m": null, "price_path": [-0.2053, -0.1442, -0.116, -0.1376, -0.2088, -0.2613, -0.2925, -0.2559, -0.2614, -0.2382, -0.2724, -0.2223, -0.2114, -0.1945, -0.2872, -0.3471, -0.4264, -0.4024, -0.4155, -0.4174, -0.4898, -0.4639, -0.4695, -0.4879, -0.4861, -0.4935, -0.5046, -0.4841, -0.5284, -0.5508, -0.5425, -0.6053, -0.6205, -0.5917, -0.5407, -0.586, -0.5731, -0.5712, -0.5301, -0.5013, -0.4881, -0.4021, -0.4332, -0.3903, -0.408, -0.3969, -0.3915, -0.3508, -0.3573, -0.2591, -0.2421, -0.1686, -0.1826, -0.1836, -0.2021, -0.2034, -0.1799, -0.1031, -0.1401, -0.1632, -0.1667, -0.1503, -0.1544, 0.0, -0.0484, -0.0952, -0.0848, 0.0256, 0.142, 0.0743, 0.0122, 0.0088, -0.0079, -0.1221, -0.0853, -0.1188, -0.0843, -0.0588, -0.0223, -0.011, -0.0165, 0.0485, 0.0634, -0.0667, -0.1528, -0.1553, -0.0297, -0.1099, -0.0834, -0.091, -0.1055, -0.1162, -0.2413, -0.2672, -0.3007, -0.3187, -0.4094, -0.3177, -0.3097, -0.316, -0.3238, -0.3501, -0.3466, -0.3863, -0.4251, -0.4181, -0.4424, -0.4392, -0.3, -0.2499, -0.2952, -0.2845, -0.2897, -0.3355, -0.3445, -0.3509, -0.3729, -0.3767, -0.4117, -0.4488, -0.44, -0.476, -0.4619, -0.5137, -0.5371, -0.5578, -0.5379, -0.5848, -0.6224, -0.6117, -0.6344, -0.6296, -0.5851, -0.6388, -0.6295, -0.6439, -0.6355, -0.601, -0.6061, -0.597, -0.5931, -0.5856, -0.582, -0.5818, -0.5784, -0.6359, -0.634, -0.6262, -0.6433, -0.6497, -0.6602, -0.6361, -0.6248, -0.6452, -0.6452, -0.6446, -0.6407, -0.6244, -0.6299, -0.6388, -0.6378, -0.6217, -0.6206, -0.6224, -0.62, -0.6222, -0.5973, -0.5894, -0.5687, -0.5982, -0.595, -0.64, -0.6456, -0.6097, -0.6052, -0.6117, -0.6192, -0.625, -0.6228, -0.4973, -0.5334, -0.5753, -0.5741, -0.6093, -0.6099, -0.6111, -0.6065, -0.5884, -0.6145, -0.599]}
{"unit_id": "thread:1133846424125411335", "ticker_idx": 0, "ts": "2019-05-29T21:23:48+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "our bear case assumes that $TSLA loses two-thirds of its 17% global EV market share during the next five years and that its autonomous strategy fails, in which case our five-year price target is $560 … our bull case … five-year price target is $4,000-$6,000", "tweet_type": "analysis", "timeline": "years", "summary": "Long TSLA with 5-year bear/bull price targets of $560 and $4,000–$6,000 on EV demand surge and autonomous strategy.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "self_thread", "lang": "en", "tweet_text": "Negative responses to our open-source $TSLA model focus on changes we made to PP&amp;E and R&amp;D while maintaining our price targets.  Those responses highlight the short term time horizon of analysts in the public markets and their unwillingness/inability to model exponential growth.\n\n---\n\nBased on #Tesla’s stunning results year-over-year in the first quarter relative to the $GM Bolt - the Model 3 sales up 6-fold from a base more than 50% higher than the Bolt’s, while the Bolt’s sales were flat - $TSLA should go full throttle in EV production.\n\n---\n\nThe shift in our model from spending from R&amp;D to PP&amp;E during the next five years is based on the demand metrics for #Tesla’s EVs that are surfacing around the world Check out not only the US but also Norway which the bears wrote off after subsidies lapsed last year.\n\n---\n\nThis week, @elonmusk highlighted in an internal email that #Tesla’s second quarter deliveries could surpass those in the fourth quarter, breaking another record.  If so, $TSLA should shift R&amp;D dollars to #EV capex to pull even further ahead on its autonomous vehicle strategy.\n\n---\n\nBecause the investment world has been built on the linear growth industries that have evolved in post WWII experience, $TSLA’s exponential growth strategy seems out of place, if not impossible. Post WWII does not incorporate the last great wave of innovation.\n\n---\n\nThe last wave of innovation - exponential growth - was not the #Internet.  It was electricity, telephony, and the ICE in the late 1800’s/early 1900’s. Our shift from R&amp;D to PP&amp;E reflects a more aggressive pivot from trucks and utility storage to EVs based on recent EV demand.\n\n---\n\nBased on Wright’s Law, our models suggest that global #EV sales will increase nearly 20-fold during the next five years, from roughly 1.4 million last year to 26 million in 2023. $TSLA should capture a significant share of the market.\n\n---\n\nIn an attempt to remain conservative, our bear case assumes that $TSLA loses two-thirds of its 17% global EV market share during the next five years and that its autonomous strategy fails, in which case our five-year price target is $560.\n\n---\n\nOur bull case assumes that #Tesla loses one-third of its 17% global EV market share during the next five years and that its autonomous strategy succeeds, in which case our five- year price target is $4,000-$6,000.\n\n---\n\nThe yield curve is giving us clues that, after more than one hundred years, truly disruptive innovation and exponential growth have returned. Technologically enabled “good deflation” should increase broad based purchasing power and turbochargers volume growth.\n\n---\n\nDuring the 50 years ended 1929, electricity, telephony, and the internal combustion combined to turbocharge unit growth and lower inflation.  The yield curve was inverted more than half of the time back then, with the steepest inversions during periods with the strongest growth.\n\n---\n\nBack to the future?  Yes!", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.006109774312818006, "ret_signed_m1d": -0.006109774312818006, "alpha_spy_m1d": -0.012865938402532473, "alpha_c_m1d": -0.015063854634513651, "bench_spy_m1d": 0.006756164089714467, "bench_c_m1d": 0.008954080321695645, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.008637920413351985, "ret_signed_p1d": -0.008637920413351985, "alpha_spy_p1d": -0.011369311820243144, "alpha_c_p1d": -0.01517443617094072, "bench_spy_p1d": 0.0027313914068911593, "bench_c_p1d": 0.0065365157575887345, "ret_p1w": 0.035447164052074154, "ret_signed_p1w": 0.035447164052074154, "alpha_spy_p1w": 0.018592667558623877, "alpha_c_p1w": 0.018702765256481735, "bench_spy_p1w": 0.016854496493450277, "bench_c_p1w": 0.01674439879559242, "ret_p1m": 0.17370693396470926, "ret_signed_p1m": 0.17370693396470926, "alpha_spy_p1m": 0.12106817867861897, "alpha_c_p1m": 0.10574667772746849, "bench_spy_p1m": 0.0526387552860903, "bench_c_p1m": 0.06796025623724078, "ret_p3m": 0.13241332845495712, "ret_signed_p3m": 0.13241332845495712, "alpha_spy_p3m": 0.09241340636949191, "alpha_c_p3m": 0.07541483825907558, "bench_spy_p3m": 0.03999992208546521, "bench_c_p3m": 0.056998490195881546, "ret_p6m": 0.8689033358207425, "ret_signed_p6m": 0.8689033358207425, "alpha_spy_p6m": 0.7433100364220298, "alpha_c_p6m": 0.7917208419783879, "bench_spy_p6m": 0.12559329939871278, "bench_c_p6m": 0.07718249384235465, "price_path": [0.5527, 0.503, 0.4565, 0.455, 0.4568, 0.4966, 0.5323, 0.4925, 0.522, 0.5272, 0.4507, 0.4194, 0.4088, 0.4411, 0.4433, 0.3933, 0.3716, 0.4104, 0.4475, 0.4675, 0.474, 0.5231, 0.5057, 0.537, 0.4104, 0.4482, 0.439, 0.4343, 0.454, 0.4138, 0.41, 0.403, 0.4398, 0.4286, 0.4393, 0.4393, 0.3839, 0.39, 0.3624, 0.3043, 0.2385, 0.2718, 0.2572, 0.2325, 0.2857, 0.3433, 0.3449, 0.3013, 0.2896, 0.2745, 0.2616, 0.1957, 0.2236, 0.2217, 0.2026, 0.1115, 0.0816, 0.0802, 0.0151, 0.0297, 0.0041, 0.0041, -0.0061, 0.0, -0.0086, -0.0248, -0.0574, 0.0197, 0.0354, 0.0847, 0.0771, 0.1212, 0.1435, 0.1022, 0.1267, 0.132, 0.1852, 0.1837, 0.1926, 0.1567, 0.1685, 0.1779, 0.1575, 0.1549, 0.1737, 0.177, 0.1965, 0.1827, 0.2372, 0.2372, 0.2277, 0.2132, 0.2117, 0.2584, 0.2567, 0.2908, 0.3352, 0.3293, 0.3424, 0.3354, 0.3598, 0.3467, 0.3703, 0.3951, 0.2052, 0.2011, 0.2418, 0.276, 0.2726, 0.2317, 0.2343, 0.2026, 0.2154, 0.2294, 0.2551, 0.2378, 0.2062, 0.2378, 0.1567, 0.1358, 0.1584, 0.1947, 0.1896, 0.1631, 0.1701, 0.1135, 0.1324, 0.1276, 0.1355, 0.1678, 0.1883, 0.1883, 0.1851, 0.1623, 0.2092, 0.198, 0.2208, 0.2406, 0.3015, 0.295, 0.2915, 0.2789, 0.2893, 0.2825, 0.2989, 0.2674, 0.2706, 0.1757, 0.2046, 0.2776, 0.2753, 0.2687, 0.2888, 0.2806, 0.2274, 0.219, 0.2521, 0.2644, 0.2879, 0.2891, 0.3056, 0.3534, 0.3583, 0.3681, 0.3798, 0.3534, 0.3352, 0.3461, 0.3414, 0.5784, 0.7283, 0.7261, 0.6655, 0.6592, 0.6587, 0.6502, 0.6721, 0.6708, 0.7201, 0.7673, 0.7757, 0.8176, 0.8431, 0.823, 0.84, 0.8549, 0.8434, 0.8936, 0.8552, 0.8689]}
{"unit_id": "quote:928091086547030017", "ticker_idx": 1, "ts": "2017-11-08T02:45:32+00:00", "symbol": "SNAP", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$FB is copying and crushing $SNAP", "tweet_type": "prediction", "timeline": "unspecified", "summary": "FB is dominating SNAP via Stories; implied long FB, short SNAP.", "resolved_tickers": ["SNAP"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLC", "bench_c_reason": "industry='Internet Content & Information'", "bench_c_industry": "Internet Content & Information", "unit_kind": "quote", "lang": "en", "tweet_text": "$FB is copying and crushing $SNAP. https://t.co/5ZLSlFZjkU", "reply_text": null, "parent_text": null, "quoted_text": "Instagram Stories are still wildly outpacing Snapchat. https://t.co/Nc44TZ8kMv https://t.co/VIsj3A2qxa", "parent_author": null, "ret_m1d": 0.17118513278603809, "ret_signed_m1d": -0.17118513278603809, "alpha_spy_m1d": -0.17288296778582357, "alpha_c_m1d": null, "bench_spy_m1d": -0.0016978349997854858, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.041053426741707755, "ret_signed_p1d": 0.041053426741707755, "alpha_spy_p1d": 0.03742594950784117, "alpha_c_p1d": null, "bench_spy_p1d": -0.003627477233866583, "bench_c_p1d": null, "ret_p1w": -0.034856685870166104, "ret_signed_p1w": 0.034856685870166104, "alpha_spy_p1w": 0.02455239365021411, "alpha_c_p1w": null, "bench_spy_p1w": -0.010304292219951994, "bench_c_p1w": null, "ret_p1m": 0.13865220627495556, "ret_signed_p1m": -0.13865220627495556, "alpha_spy_p1m": -0.11950958235156128, "alpha_c_p1m": null, "bench_spy_p1m": 0.019142623923394275, "bench_c_p1m": null, "ret_p3m": 0.0728118160470812, "ret_signed_p3m": -0.0728118160470812, "alpha_spy_p3m": -0.04900291989470462, "alpha_c_p3m": null, "bench_spy_p3m": 0.02380889615237658, "bench_c_p3m": null, "ret_p6m": -0.15027107694135144, "ret_signed_p6m": 0.15027107694135144, "alpha_spy_p6m": 0.1730785012825501, "alpha_c_p6m": null, "bench_spy_p6m": 0.022807424341198645, "bench_c_p6m": null, "price_path": [-0.0837, -0.024, -0.0132, 0.0163, 0.0341, 0.0852, 0.0519, 0.1255, 0.1689, 0.1255, 0.1448, 0.1766, 0.1611, 0.1588, 0.1239, 0.1053, 0.1053, 0.1224, 0.1232, 0.1735, 0.1882, 0.1828, 0.172, 0.1642, 0.1549, 0.1813, 0.1557, 0.1402, 0.0968, 0.0666, 0.0612, 0.024, 0.0775, 0.0937, 0.1193, 0.1263, 0.1526, 0.134, 0.1255, 0.1216, 0.1456, 0.1394, 0.1108, 0.2378, 0.282, 0.2781, 0.2448, 0.2463, 0.22, 0.1813, 0.2053, 0.1596, 0.1301, 0.0968, 0.1146, 0.196, 0.2146, 0.1882, 0.1239, 0.127, 0.1828, 0.1487, 0.1712, 0.0, -0.0411, -0.0116, -0.0395, -0.0263, -0.0349, -0.0271, 0.0062, -0.0387, -0.0442, -0.0225, -0.0225, 0.0046, 0.0116, 0.0542, 0.0612, 0.0674, 0.0744, 0.0511, 0.1572, 0.1309, 0.1387, 0.1673, 0.2564, 0.2339, 0.2363, 0.2424, 0.22, 0.2471, 0.2215, 0.2006, 0.1905, 0.1735, 0.1735, 0.1627, 0.1495, 0.1503, 0.1317, 0.1317, 0.158, 0.1859, 0.1301, 0.1232, 0.0891, 0.0922, 0.1348, 0.1309, 0.093, 0.093, 0.0457, 0.0473, 0.0852, 0.0875, 0.0976, 0.1038, 0.1185, 0.062, 0.0503, 0.0434, 0.0271, 0.0473, 0.0782, 0.062, 0.0728, 0.0891, 0.6073, 0.5019, 0.4562, 0.4431, 0.4392, 0.5151, 0.5298, 0.5817, 0.5817, 0.4663, 0.4438, 0.3563, 0.3517, 0.3238, 0.2641, 0.3416, 0.3331, 0.395, 0.4136, 0.395, 0.3958, 0.3672, 0.385, 0.4028, 0.3563, 0.3826, 0.3323, 0.3176, 0.2719, 0.2393, 0.2835, 0.2835, 0.2672, 0.2587, 0.2548, 0.2355, 0.2293, 0.2293, 0.1201, 0.0906, 0.1301, 0.1146, 0.1038, 0.096, 0.1216, 0.1464, 0.1557, 0.1526, 0.1294, 0.1526, 0.1348, 0.1495, 0.1774, 0.2037, 0.2107, 0.1263, 0.1387, 0.1022, 0.11, 0.0945, -0.1456, -0.1503]}
{"unit_id": "reply:1145869561356521473", "ticker_idx": 0, "ts": "2019-07-02T01:39:27+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$TSLA is doing the same to traditional autos and transportation", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish TSLA: compares it to early Amazon disrupting retail; negative media narrative misses the long-term disruption thesis.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "reply_other", "lang": "en", "tweet_text": "@p_ferragu @WSJ The last time I experienced this “whack-a-mole” kind of “analysis” was with cash-burning $AMZN from 2002 to 2006.  #Amazon was setting traditional retail on fire but analysts didn’t have a clue.  $TSLA is doing the same to traditional autos and transportation.", "reply_text": null, "parent_text": "Even it Tesla sells again this quarter in the US more than all other premium sedan manufacturers combined, we should be worried about demand, writes the WSJ. Isn’t that unbelievable? I find the systematic Tesla bashing of the Journal suspicious.  https://t.co/mqjDKTcKid via @WSJ", "quoted_text": null, "parent_author": "p_ferragu", "ret_m1d": 0.01166776229849642, "ret_signed_m1d": 0.01166776229849642, "alpha_spy_m1d": 0.014265358384815352, "alpha_c_m1d": 0.01382513066403579, "bench_spy_m1d": -0.002597596086318932, "bench_c_m1d": -0.0021573683655393694, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0460921555160565, "ret_signed_p1d": 0.0460921555160565, "alpha_spy_p1d": 0.03809704136228542, "alpha_c_p1d": 0.03737905478708092, "bench_spy_p1d": 0.007995114153771077, "bench_c_p1d": 0.008713100728975576, "ret_p1w": 0.02453790594146743, "ret_signed_p1w": 0.02453790594146743, "alpha_spy_p1w": 0.021974087702680833, "alpha_c_p1w": 0.012339820373967303, "bench_spy_p1w": 0.002563818238786597, "bench_c_p1w": 0.012198085567500128, "ret_p1m": 0.07597407764182917, "ret_signed_p1m": 0.07597407764182917, "alpha_spy_p1m": 0.07260061463340572, "alpha_c_p1m": 0.07423155161032136, "bench_spy_p1m": 0.0033734630084234496, "bench_c_p1m": 0.0017425260315078184, "ret_p3m": 0.07828990717633855, "ret_signed_p3m": 0.07828990717633855, "alpha_spy_p3m": 0.07716284162399956, "alpha_c_p3m": 0.08196601124280856, "bench_spy_p3m": 0.0011270655523389905, "bench_c_p3m": -0.0036761040664700095, "ret_p6m": 0.8937875668519633, "ret_signed_p6m": 0.8937875668519633, "alpha_spy_p6m": 0.799768577332763, "alpha_c_p6m": 0.8534996604908391, "bench_spy_p6m": 0.09401898951920029, "bench_c_p6m": 0.040287906361124115, "price_path": [0.1925, 0.2245, 0.2167, 0.2127, 0.2294, 0.1954, 0.1922, 0.1863, 0.2174, 0.2079, 0.2169, 0.2169, 0.1701, 0.1752, 0.1519, 0.1028, 0.0472, 0.0754, 0.063, 0.0421, 0.0871, 0.1357, 0.1371, 0.1002, 0.0904, 0.0776, 0.0667, 0.011, 0.0346, 0.033, 0.0168, -0.0602, -0.0855, -0.0867, -0.1417, -0.1294, -0.1511, -0.1511, -0.1597, -0.1545, -0.1618, -0.1754, -0.203, -0.1378, -0.1245, -0.0828, -0.0893, -0.052, -0.0332, -0.0681, -0.0474, -0.0429, 0.0021, 0.0008, 0.0084, -0.022, -0.012, -0.0041, -0.0213, -0.0235, -0.0076, -0.0049, 0.0117, 0.0, 0.0461, 0.0461, 0.0381, 0.0258, 0.0245, 0.064, 0.0626, 0.0914, 0.1289, 0.1239, 0.135, 0.1291, 0.1498, 0.1386, 0.1586, 0.1796, 0.019, 0.0155, 0.05, 0.0789, 0.076, 0.0414, 0.0436, 0.0168, 0.0276, 0.0395, 0.0612, 0.0466, 0.0199, 0.0465, -0.022, -0.0397, -0.0205, 0.0102, 0.0058, -0.0166, -0.0107, -0.0586, -0.0425, -0.0466, -0.0399, -0.0126, 0.0047, 0.0047, 0.002, -0.0172, 0.0224, 0.0129, 0.0322, 0.0489, 0.1004, 0.0949, 0.092, 0.0813, 0.0901, 0.0843, 0.0982, 0.0716, 0.0743, -0.006, 0.0185, 0.0802, 0.0783, 0.0727, 0.0897, 0.0827, 0.0378, 0.0306, 0.0587, 0.069, 0.089, 0.0899, 0.1039, 0.1443, 0.1485, 0.1568, 0.1666, 0.1443, 0.1289, 0.1382, 0.1342, 0.3346, 0.4613, 0.4594, 0.4082, 0.4029, 0.4024, 0.3953, 0.4138, 0.4127, 0.4544, 0.4943, 0.5014, 0.5368, 0.5584, 0.5413, 0.5558, 0.5683, 0.5586, 0.6011, 0.5686, 0.5802, 0.4831, 0.4978, 0.4648, 0.4754, 0.4754, 0.4693, 0.4913, 0.4972, 0.4831, 0.4713, 0.4958, 0.512, 0.5535, 0.5707, 0.6018, 0.596, 0.699, 0.6878, 0.7508, 0.7993, 0.8062, 0.8669, 0.8938, 0.8938]}
{"unit_id": "quote:881374785699229696", "ticker_idx": 0, "ts": "2017-07-02T04:51:38+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": false, "explicit_audit": "flipped_to_implicit", "polarity_reversed": false, "quote": "If @jimmysong is right, then #XBT and $GBTC should do very well", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Conditionally bullish on Bitcoin and GBTC if Segwit2x analysis is correct.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "If @jimmysong is right, then #XBT and $GBTC should do very well. https://t.co/jODchPaXAR", "reply_text": null, "parent_text": null, "quoted_text": "Segwit2x review by @LukeDashjr. Well worth reading.\n\nhttps://t.co/sKeCWEG8gx https://t.co/YNz1hFIyuX", "parent_author": null, "ret_m1d": -0.0324563266075627, "ret_signed_m1d": -0.0324563266075627, "alpha_spy_m1d": -0.03076368029256049, "alpha_c_m1d": null, "bench_spy_m1d": -0.0016926463150022109, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.01465637821486343, "ret_signed_p1d": 0.01465637821486343, "alpha_spy_p1d": 0.01465637821486343, "alpha_c_p1d": null, "bench_spy_p1d": 0.0, "bench_c_p1d": null, "ret_p1w": -0.07468623808485497, "ret_signed_p1w": -0.07468623808485497, "alpha_spy_p1w": -0.07534675477432451, "alpha_c_p1w": null, "bench_spy_p1w": 0.0006605166894695369, "bench_c_p1w": null, "ret_p1m": 0.0601389778897945, "ret_signed_p1m": 0.0601389778897945, "alpha_spy_p1m": 0.03904134027805406, "alpha_c_p1m": null, "bench_spy_p1m": 0.02109763761174044, "bench_c_p1m": null, "ret_p3m": 0.6281716828264805, "ret_signed_p3m": 0.6281716828264805, "alpha_spy_p3m": 0.5894348660484312, "alpha_c_p3m": null, "bench_spy_p3m": 0.0387368167780493, "bench_c_p3m": null, "ret_p6m": 5.279026012174372, "ret_signed_p6m": 5.279026012174372, "alpha_spy_p6m": 5.164751274826635, "alpha_c_p6m": null, "bench_spy_p6m": 0.11427473734773619, "bench_c_p6m": null, "price_path": [-0.5613, -0.5387, -0.541, -0.537, -0.53, -0.5318, -0.544, -0.5447, -0.5344, -0.5274, -0.528, -0.5207, -0.5234, -0.5124, -0.5065, -0.5004, -0.4861, -0.4866, -0.4456, -0.4334, -0.4189, -0.4003, -0.3934, -0.3279, -0.3154, -0.303, -0.279, -0.3275, -0.322, -0.3236, -0.2827, -0.2634, -0.2248, -0.1524, -0.095, -0.047, -0.101, -0.141, -0.1203, -0.1516, -0.1083, -0.0609, -0.0294, 0.0479, 0.1167, 0.0656, 0.0942, 0.1013, 0.0373, 0.0597, -0.0225, -0.0388, -0.0177, 0.01, 0.0615, 0.0488, 0.0551, 0.0705, -0.0334, -0.0045, 0.0042, -0.0096, -0.0325, 0.0, 0.0147, 0.0148, 0.0174, -0.0177, -0.0747, -0.0882, -0.0644, -0.0804, -0.129, -0.1309, -0.0956, -0.1133, 0.0989, 0.0404, 0.0744, 0.0048, -0.0135, 0.042, 0.0955, 0.1214, 0.0601, 0.0572, 0.0939, 0.1294, 0.3178, 0.3338, 0.3036, 0.3187, 0.4238, 0.6868, 0.631, 0.7069, 0.6894, 0.6227, 0.5607, 0.5992, 0.6191, 0.6906, 0.705, 0.7093, 0.7858, 0.7805, 0.8344, 0.9079, 0.6522, 0.7069, 0.7929, 0.794, 0.6492, 0.6229, 0.611, 0.5142, 0.2305, 0.4187, 0.5855, 0.5308, 0.5233, 0.4161, 0.416, 0.5312, 0.518, 0.6383, 0.6282, 0.6236, 0.7197, 0.6838, 0.6495, 0.6881, 0.7046, 0.8611, 0.865, 0.8824, 1.1243, 1.2024, 1.233, 1.1862, 1.1804, 1.2264, 1.3445, 1.3129, 1.1554, 1.2428, 1.3029, 1.2546, 1.3909, 1.5227, 1.6393, 1.7607, 1.8111, 1.7389, 1.7864, 1.9093, 1.786, 1.5811, 1.5582, 1.588, 1.8531, 2.07, 2.0066, 2.1983, 2.1478, 2.2189, 2.1352, 2.219, 2.8292, 2.923, 2.8566, 2.9912, 3.2806, 3.5464, 3.6476, 4.5738, 5.981, 5.4622, 5.6055, 5.7921, 5.3993, 5.4601, 5.9058, 6.4547, 5.933, 5.4837, 5.1632, 4.3945, 4.4705, 5.279]}
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{"unit_id": "quote:1120638775456075776", "ticker_idx": 0, "ts": "2019-04-23T10:41:19+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "If $TSLA is even half right, @ARKInvest agrees that \"The implications [would be] staggering.\"", "tweet_type": "prediction", "timeline": "unspecified", "summary": "ARK/Cathie Wood endorses Tesla autonomy thesis; even partial success would have staggering implications, implying bullish.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "If $TSLA is even half right, @ARKInvest agrees that “The implications [would be] staggering.”", "reply_text": null, "parent_text": null, "quoted_text": "Tesla's Compelling Approach to Autonomy\nhttps://t.co/n4UnA0GaDv", "parent_author": null, "ret_m1d": -0.004357666701756413, "ret_signed_m1d": -0.004357666701756413, "alpha_spy_m1d": 0.004554242269930064, "alpha_c_m1d": 0.0074519195902046365, "bench_spy_m1d": -0.008911908971686477, "bench_c_m1d": -0.01180958629196105, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.019855977462206353, "ret_signed_p1d": -0.019855977462206353, "alpha_spy_p1d": -0.017636299432345792, "alpha_c_p1d": -0.020770710299370942, "bench_spy_p1d": -0.002219678029860561, "bench_c_p1d": 0.0009147328371645891, "ret_p1w": -0.09552852116978228, "ret_signed_p1w": -0.09552852116978228, "alpha_spy_p1w": -0.09942076534408173, "alpha_c_p1w": -0.09411497836420679, "bench_spy_p1w": 0.003892244174299453, "bench_c_p1w": -0.001413542805575485, "ret_p1m": -0.2696854164685868, "ret_signed_p1m": -0.2696854164685868, "alpha_spy_p1m": -0.24493120619394126, "alpha_c_p1m": -0.223611006298867, "bench_spy_p1m": -0.024754210274645527, "bench_c_p1m": -0.046074410169719804, "ret_p3m": -0.021674824937150228, "ret_signed_p3m": -0.021674824937150228, "alpha_spy_p3m": -0.041257266370153034, "alpha_c_p3m": -0.0411457888965413, "bench_spy_p3m": 0.019582441433002806, "bench_c_p3m": 0.019470963959391074, "ret_p6m": -0.015725544730020302, "ret_signed_p6m": -0.015725544730020302, "alpha_spy_p6m": -0.04425552102492303, "alpha_c_p6m": -0.037992224305259836, "bench_spy_p6m": 0.028529976294902726, "bench_c_p6m": 0.022266679575239534, "price_path": [0.1046, 0.1256, 0.1231, 0.1272, 0.17, 0.1634, 0.1831, 0.1856, 0.2177, 0.202, 0.1653, 0.1588, 0.1854, 0.1815, 0.1678, 0.1511, 0.1667, 0.1667, 0.1582, 0.1465, 0.1036, 0.1167, 0.1321, 0.1287, 0.1926, 0.2121, 0.1171, 0.0813, 0.0479, 0.0468, 0.0481, 0.0767, 0.1024, 0.0737, 0.095, 0.0987, 0.0437, 0.0212, 0.0135, 0.0368, 0.0383, 0.0024, -0.0132, 0.0147, 0.0414, 0.0558, 0.0605, 0.0958, 0.0833, 0.1058, 0.0147, 0.0419, 0.0352, 0.0319, 0.0461, 0.0171, 0.0144, 0.0094, 0.0358, 0.0278, 0.0355, 0.0355, -0.0044, 0.0, -0.0199, -0.0617, -0.109, -0.085, -0.0955, -0.1133, -0.075, -0.0336, -0.0324, -0.0638, -0.0722, -0.0831, -0.0924, -0.1398, -0.1197, -0.1211, -0.1348, -0.2003, -0.2218, -0.2229, -0.2697, -0.2592, -0.2776, -0.2776, -0.285, -0.2806, -0.2868, -0.2984, -0.3218, -0.2664, -0.2551, -0.2196, -0.2251, -0.1933, -0.1773, -0.207, -0.1894, -0.1856, -0.1473, -0.1484, -0.142, -0.1678, -0.1593, -0.1526, -0.1673, -0.1691, -0.1556, -0.1532, -0.1392, -0.1491, -0.1099, -0.1099, -0.1167, -0.1272, -0.1282, -0.0947, -0.0959, -0.0713, -0.0394, -0.0437, -0.0343, -0.0393, -0.0217, -0.0311, -0.0141, 0.0037, -0.1329, -0.1359, -0.1066, -0.082, -0.0845, -0.1139, -0.112, -0.1348, -0.1256, -0.1155, -0.097, -0.1095, -0.1322, -0.1095, -0.1678, -0.1829, -0.1666, -0.1405, -0.1441, -0.1632, -0.1582, -0.1989, -0.1853, -0.1888, -0.1831, -0.1599, -0.1451, -0.1451, -0.1474, -0.1638, -0.13, -0.1381, -0.1217, -0.1075, -0.0637, -0.0683, -0.0709, -0.0799, -0.0724, -0.0773, -0.0656, -0.0882, -0.0859, -0.1542, -0.1334, -0.0809, -0.0825, -0.0873, -0.0728, -0.0787, -0.117, -0.123, -0.0992, -0.0904, -0.0734, -0.0726, -0.0607, -0.0263, -0.0228, -0.0157]}
{"unit_id": "quote:1055237741863231489", "ticker_idx": 0, "ts": "2018-10-24T23:20:57+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "If Uber's pending upround hits $120 billion, shouldn't $TSLA's be multiples of #Uber's, not to mention #Airbnb's?", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish TSLA: argues its autonomous taxi valuation should be multiples of Uber's $120B upround plus Airbnb.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "If Uber’s pending upround hits $120 billion, shouldn’t $TSLA’s be multiples of #Uber’s, not to mention #Airbnb’s?", "reply_text": null, "parent_text": null, "quoted_text": "Elon just described $TSLA’s #autonomous strategy, with 1 million potential “taxis”, like my new Model 3, on the road, combining the Uber and Airbnb models. No other competitor will come close during the next few years.  Congratulations to @elonmusk and your amazing #Tesla team!", "parent_author": null, "ret_m1d": 0.019549364595074614, "ret_signed_m1d": 0.019549364595074614, "alpha_spy_m1d": -0.011695959341930573, "alpha_c_m1d": -0.01124219037710783, "bench_spy_m1d": 0.031245323937005187, "bench_c_m1d": 0.030791554972182444, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.09136917152114976, "ret_signed_p1d": 0.09136917152114976, "alpha_spy_p1d": 0.0734286334991463, "alpha_c_p1d": 0.06115668628442439, "bench_spy_p1d": 0.01794053802200346, "bench_c_p1d": 0.030212485236725373, "ret_p1w": 0.16922013374711886, "ret_signed_p1w": 0.16922013374711886, "alpha_spy_p1w": 0.14920664862641586, "alpha_c_p1w": 0.15203853554942803, "bench_spy_p1w": 0.020013485120703, "bench_c_p1w": 0.01718159819769083, "ret_p1m": 0.1722356618126133, "ret_signed_p1m": 0.1722356618126133, "alpha_spy_p1m": 0.17336655958574954, "alpha_c_p1m": 0.18304622823071048, "bench_spy_p1m": -0.0011308977731362413, "bench_c_p1m": -0.01081056641809719, "ret_p3m": 0.04769498738869027, "ret_signed_p3m": 0.04769498738869027, "alpha_spy_p3m": 0.03753361226240437, "alpha_c_p3m": 0.012669646961923853, "bench_spy_p3m": 0.010161375126285899, "bench_c_p3m": 0.035025340426766416, "ret_p6m": -0.05282499484817538, "ret_signed_p6m": -0.05282499484817538, "alpha_spy_p6m": -0.1571460898389445, "alpha_c_p6m": -0.21253592159213874, "bench_spy_p6m": 0.10432109499076914, "bench_c_p6m": 0.15971092674396337, "price_path": [0.0301, 0.0058, 0.0334, 0.0428, 0.2116, 0.2068, 0.1854, 0.3157, 0.2837, 0.2217, 0.2322, 0.2354, 0.205, 0.174, 0.1627, 0.0589, 0.0691, 0.1158, 0.1149, 0.1095, 0.119, 0.1067, 0.081, 0.0572, 0.0508, 0.0456, 0.0456, 0.0016, -0.0269, -0.0262, -0.0876, -0.0104, -0.0314, 0.0071, 0.0033, 0.0232, 0.022, -0.0123, 0.0365, 0.0341, 0.0367, 0.0388, 0.0433, 0.0731, 0.0659, -0.0823, 0.0769, 0.0434, 0.0218, -0.0231, -0.092, -0.1315, -0.0891, -0.1096, -0.1257, -0.103, -0.1002, -0.0413, -0.058, -0.0852, -0.0988, -0.0955, 0.0195, 0.0, 0.0914, 0.147, 0.1607, 0.1435, 0.1692, 0.1933, 0.2007, 0.1834, 0.1822, 0.2068, 0.218, 0.2149, 0.1483, 0.1741, 0.1924, 0.2078, 0.2281, 0.2252, 0.2045, 0.1722, 0.1722, 0.1294, 0.1993, 0.1921, 0.2058, 0.1826, 0.2148, 0.2426, 0.2468, 0.2468, 0.2584, 0.2408, 0.2657, 0.2713, 0.2707, 0.306, 0.2676, 0.2077, 0.1682, 0.1541, 0.0932, 0.1084, 0.0239, 0.0239, 0.1303, 0.0958, 0.1573, 0.1536, 0.1536, 0.0749, 0.0411, 0.1012, 0.161, 0.1624, 0.1734, 0.1957, 0.2037, 0.1591, 0.1939, 0.1995, 0.2038, 0.0477, 0.0477, 0.0361, -0.0032, 0.0104, 0.0296, 0.0273, 0.0311, 0.0703, 0.0642, 0.0822, 0.0845, 0.1139, 0.0995, 0.0659, 0.06, 0.0844, 0.0808, 0.0682, 0.0529, 0.0672, 0.0672, 0.0594, 0.0487, 0.0095, 0.0215, 0.0356, 0.0324, 0.091, 0.1088, 0.0218, -0.0109, -0.0415, -0.0425, -0.0413, -0.0151, 0.0084, -0.0178, 0.0016, 0.0051, -0.0453, -0.0659, -0.0729, -0.0516, -0.0502, -0.0831, -0.0973, -0.0719, -0.0474, -0.0342, -0.0299, 0.0024, -0.0091, 0.0115, -0.0718, -0.0469, -0.053, -0.0561, -0.0431, -0.0696, -0.0721, -0.0767, -0.0525, -0.0599, -0.0528]}
{"unit_id": "quote:1276746960876318720", "ticker_idx": 1, "ts": "2020-06-27T05:19:30+00:00", "symbol": "PYPL", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Digital wallets are going to disintermediate and disrupt all kinds of financial services", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish on digital wallet leaders SQ and PYPL as Cash App hits 40M MAUs and digital wallets disrupt financial services.", "resolved_tickers": ["PYPL"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLF", "bench_c_reason": "industry='Credit Services'", "bench_c_industry": "Credit Services", "unit_kind": "quote", "lang": "en", "tweet_text": "If SensorTower’s numbers are correct, $SQ Cash App surpassed $PYPL’s Venmo and $JPM with 40 million monthly active users (MAUs) this month. Digital wallets are going to disintermediate and disrupt all kinds of financial@services.", "reply_text": null, "parent_text": null, "quoted_text": "It looks like Cash App hit 40 million MAUs.\n\nSensorTower (data source) was pretty close to Cash App's disclosed MAUs of 24M in December 2019.\n\nIf their methodology didn't change recently, and the number is accurate, this would be huge.\n\n1 in every ~7 US adults uses Cash App.", "parent_author": null, "ret_m1d": 0.014968772988340984, "ret_signed_m1d": 0.014968772988340984, "alpha_spy_m1d": 0.029453513376982654, "alpha_c_m1d": 0.025919122131718653, "bench_spy_m1d": -0.01448474038864167, "bench_c_m1d": -0.010950349143377669, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.03492719772071373, "ret_signed_p1d": 0.03492719772071373, "alpha_spy_p1d": 0.02211758995035651, "alpha_c_p1d": 0.021348612995540917, "bench_spy_p1d": 0.012809607770357223, "bench_c_p1d": 0.013578584725172815, "ret_p1w": 0.04651015512314993, "ret_signed_p1w": 0.04651015512314993, "alpha_spy_p1w": 0.005158263390347306, "alpha_c_p1w": 0.021104741663107385, "bench_spy_p1w": 0.041351891732802626, "bench_c_p1w": 0.025405413460042547, "ret_p1m": 0.047044767175858704, "ret_signed_p1m": 0.047044767175858704, "alpha_spy_p1m": -0.007839438603381321, "alpha_c_p1m": -0.004641798909452932, "bench_spy_p1m": 0.054884205779240025, "bench_c_p1m": 0.051686566085311636, "ret_p3m": 0.08220970187382126, "ret_signed_p3m": 0.08220970187382126, "alpha_spy_p3m": 0.015419352591843127, "alpha_c_p3m": 0.05821137597760706, "bench_spy_p3m": 0.06679034928197813, "bench_c_p3m": 0.0239983258962142, "ret_p6m": 0.4463319936291228, "ret_signed_p6m": 0.4463319936291228, "alpha_spy_p6m": 0.2301404418342503, "alpha_c_p6m": 0.18703212404595404, "bench_spy_p6m": 0.21619155179487248, "bench_c_p6m": 0.25929986958316875, "price_path": [-0.4572, -0.4445, -0.4512, -0.3961, -0.4043, -0.3759, -0.3713, -0.3713, -0.3705, -0.3479, -0.3588, -0.3566, -0.3356, -0.3337, -0.3612, -0.3158, -0.3155, -0.2861, -0.2841, -0.3101, -0.2659, -0.2694, -0.2836, -0.2655, -0.2549, -0.2378, -0.131, -0.1389, -0.1449, -0.1623, -0.1462, -0.1422, -0.1357, -0.1313, -0.1364, -0.1034, -0.1196, -0.1039, -0.1039, -0.1268, -0.133, -0.1162, -0.0792, -0.0821, -0.0645, -0.0687, -0.0817, -0.0734, -0.0728, -0.0683, -0.0501, -0.0909, -0.0778, -0.0642, -0.0424, -0.0268, -0.0018, -0.0237, 0.0113, 0.0264, -0.0021, 0.0247, 0.015, 0.0, 0.0349, 0.0539, 0.0526, 0.0526, 0.0465, 0.053, 0.0785, 0.0884, 0.0597, 0.0188, 0.0235, 0.022, 0.0087, 0.0331, 0.0622, 0.0429, 0.0598, 0.0327, 0.025, 0.0572, 0.047, 0.0965, 0.1435, 0.1647, 0.1706, 0.1721, 0.2053, 0.2123, 0.1799, 0.1483, 0.1228, 0.1364, 0.1468, 0.1373, 0.166, 0.1557, 0.1431, 0.1772, 0.1689, 0.1813, 0.1979, 0.2087, 0.2138, 0.2146, 0.2126, 0.241, 0.2523, 0.2176, 0.1395, 0.1395, 0.1045, 0.1559, 0.1291, 0.093, 0.1105, 0.105, 0.0746, 0.0442, 0.0459, 0.0883, 0.1154, 0.0788, 0.0822, 0.1123, 0.1406, 0.1553, 0.1704, 0.1698, 0.1399, 0.1693, 0.1385, 0.156, 0.1468, 0.1718, 0.197, 0.234, 0.2094, 0.2067, 0.2144, 0.1884, 0.1996, 0.2656, 0.2113, 0.2061, 0.1715, 0.1906, 0.1423, 0.1585, 0.1056, 0.1153, 0.0681, 0.1541, 0.2151, 0.2042, 0.0972, 0.0892, 0.1425, 0.1233, 0.1204, 0.1401, 0.1423, 0.1293, 0.1339, 0.1445, 0.1929, 0.2236, 0.2739, 0.2739, 0.2557, 0.2719, 0.2862, 0.2626, 0.2744, 0.2936, 0.2945, 0.2886, 0.2522, 0.2791, 0.2715, 0.3115, 0.3163, 0.3674, 0.3989, 0.4045, 0.4121, 0.4463]}
{"unit_id": "quote:1055231725431939072", "ticker_idx": 0, "ts": "2018-10-24T22:57:03+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "No other competitor will come close during the next few years.", "tweet_type": "analysis", "timeline": "years", "summary": "Bullish TSLA: autonomous taxi strategy combining Uber/Airbnb models gives multi-year competitive moat with no close rivals.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "Elon just described $TSLA’s #autonomous strategy, with 1 million potential “taxis”, like my new Model 3, on the road, combining the Uber and Airbnb models. No other competitor will come close during the next few years.  Congratulations to @elonmusk and your amazing #Tesla team!", "reply_text": null, "parent_text": null, "quoted_text": "nothing short of incredible! Better than our numbers. Great job @elonmusk !!!!! $TSLA kills its numbers! #tesla", "parent_author": null, "ret_m1d": 0.019549364595074614, "ret_signed_m1d": 0.019549364595074614, "alpha_spy_m1d": -0.011695959341930573, "alpha_c_m1d": -0.01124219037710783, "bench_spy_m1d": 0.031245323937005187, "bench_c_m1d": 0.030791554972182444, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.09136917152114976, "ret_signed_p1d": 0.09136917152114976, "alpha_spy_p1d": 0.0734286334991463, "alpha_c_p1d": 0.06115668628442439, "bench_spy_p1d": 0.01794053802200346, "bench_c_p1d": 0.030212485236725373, "ret_p1w": 0.16922013374711886, "ret_signed_p1w": 0.16922013374711886, "alpha_spy_p1w": 0.14920664862641586, "alpha_c_p1w": 0.15203853554942803, "bench_spy_p1w": 0.020013485120703, "bench_c_p1w": 0.01718159819769083, "ret_p1m": 0.1722356618126133, "ret_signed_p1m": 0.1722356618126133, "alpha_spy_p1m": 0.17336655958574954, "alpha_c_p1m": 0.18304622823071048, "bench_spy_p1m": -0.0011308977731362413, "bench_c_p1m": -0.01081056641809719, "ret_p3m": 0.04769498738869027, "ret_signed_p3m": 0.04769498738869027, "alpha_spy_p3m": 0.03753361226240437, "alpha_c_p3m": 0.012669646961923853, "bench_spy_p3m": 0.010161375126285899, "bench_c_p3m": 0.035025340426766416, "ret_p6m": -0.05282499484817538, "ret_signed_p6m": -0.05282499484817538, "alpha_spy_p6m": -0.1571460898389445, "alpha_c_p6m": -0.21253592159213874, "bench_spy_p6m": 0.10432109499076914, "bench_c_p6m": 0.15971092674396337, "price_path": [0.0301, 0.0058, 0.0334, 0.0428, 0.2116, 0.2068, 0.1854, 0.3157, 0.2837, 0.2217, 0.2322, 0.2354, 0.205, 0.174, 0.1627, 0.0589, 0.0691, 0.1158, 0.1149, 0.1095, 0.119, 0.1067, 0.081, 0.0572, 0.0508, 0.0456, 0.0456, 0.0016, -0.0269, -0.0262, -0.0876, -0.0104, -0.0314, 0.0071, 0.0033, 0.0232, 0.022, -0.0123, 0.0365, 0.0341, 0.0367, 0.0388, 0.0433, 0.0731, 0.0659, -0.0823, 0.0769, 0.0434, 0.0218, -0.0231, -0.092, -0.1315, -0.0891, -0.1096, -0.1257, -0.103, -0.1002, -0.0413, -0.058, -0.0852, -0.0988, -0.0955, 0.0195, 0.0, 0.0914, 0.147, 0.1607, 0.1435, 0.1692, 0.1933, 0.2007, 0.1834, 0.1822, 0.2068, 0.218, 0.2149, 0.1483, 0.1741, 0.1924, 0.2078, 0.2281, 0.2252, 0.2045, 0.1722, 0.1722, 0.1294, 0.1993, 0.1921, 0.2058, 0.1826, 0.2148, 0.2426, 0.2468, 0.2468, 0.2584, 0.2408, 0.2657, 0.2713, 0.2707, 0.306, 0.2676, 0.2077, 0.1682, 0.1541, 0.0932, 0.1084, 0.0239, 0.0239, 0.1303, 0.0958, 0.1573, 0.1536, 0.1536, 0.0749, 0.0411, 0.1012, 0.161, 0.1624, 0.1734, 0.1957, 0.2037, 0.1591, 0.1939, 0.1995, 0.2038, 0.0477, 0.0477, 0.0361, -0.0032, 0.0104, 0.0296, 0.0273, 0.0311, 0.0703, 0.0642, 0.0822, 0.0845, 0.1139, 0.0995, 0.0659, 0.06, 0.0844, 0.0808, 0.0682, 0.0529, 0.0672, 0.0672, 0.0594, 0.0487, 0.0095, 0.0215, 0.0356, 0.0324, 0.091, 0.1088, 0.0218, -0.0109, -0.0415, -0.0425, -0.0413, -0.0151, 0.0084, -0.0178, 0.0016, 0.0051, -0.0453, -0.0659, -0.0729, -0.0516, -0.0502, -0.0831, -0.0973, -0.0719, -0.0474, -0.0342, -0.0299, 0.0024, -0.0091, 0.0115, -0.0718, -0.0469, -0.053, -0.0561, -0.0431, -0.0696, -0.0721, -0.0767, -0.0525, -0.0599, -0.0528]}
{"unit_id": "quote:894561034865975298", "ticker_idx": 0, "ts": "2017-08-07T14:09:05+00:00", "symbol": "NFLX", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$NFLX's first acquisition is terrific!", "tweet_type": "news_reaction", "timeline": "unspecified", "summary": "Endorses NFLX's Millarworld acquisition as terrific; bullish on the deal.", "resolved_tickers": ["NFLX"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLC", "bench_c_reason": "industry='Entertainment'", "bench_c_industry": "Entertainment", "unit_kind": "quote", "lang": "en", "tweet_text": "$NFLX's first acquisition is terrific! https://t.co/VLWLfXj3vS", "reply_text": null, "parent_text": null, "quoted_text": "Netflix hedges against Marvel by acquiring comics publisher Millarworld https://t.co/PDVQ2BOjsi https://t.co/BUkKfu6KmZ", "parent_author": null, "ret_m1d": -0.0058456403413347235, "ret_signed_m1d": -0.0058456403413347235, "alpha_spy_m1d": -0.003990088008082759, "alpha_c_m1d": null, "bench_spy_m1d": -0.0018555523332519641, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.01637892169846067, "ret_signed_p1d": -0.01637892169846067, "alpha_spy_p1d": -0.013917992325664152, "alpha_c_p1d": null, "bench_spy_p1d": -0.0024609293727965165, "bench_c_p1d": null, "ret_p1w": -0.056967907777434434, "ret_signed_p1w": -0.056967907777434434, "alpha_spy_p1w": -0.05160210115968633, "alpha_c_p1w": null, "bench_spy_p1w": -0.005365806617748103, "bench_c_p1w": null, "ret_p1m": -0.03755582516050948, "ret_signed_p1m": -0.03755582516050948, "alpha_spy_p1m": -0.030253575007469724, "alpha_c_p1m": null, "bench_spy_p1m": -0.007302250153039758, "bench_c_p1m": null, "ret_p3m": 0.09921137395373525, "ret_signed_p3m": 0.09921137395373525, "alpha_spy_p3m": 0.05483982971242929, "alpha_c_p3m": null, "bench_spy_p3m": 0.04437154424130596, "bench_c_p3m": null, "ret_p6m": 0.5375282662702114, "ret_signed_p6m": 0.5375282662702114, "alpha_spy_p6m": 0.38932272631790554, "alpha_c_p6m": null, "bench_spy_p6m": 0.1482055399523059, "bench_c_p6m": null, "price_path": [-0.1161, -0.1257, -0.1132, -0.1175, -0.1209, -0.1551, -0.1413, -0.1341, -0.1333, -0.1289, -0.13, -0.1008, -0.1042, -0.1042, -0.0999, -0.1007, -0.1011, -0.0891, -0.0897, -0.0891, -0.0867, -0.0852, -0.1285, -0.1648, -0.1578, -0.1606, -0.1631, -0.1597, -0.154, -0.1615, -0.145, -0.1458, -0.1286, -0.1314, -0.1671, -0.154, -0.1723, -0.176, -0.1939, -0.1939, -0.186, -0.1935, -0.1718, -0.1581, -0.1489, -0.1245, -0.1275, -0.1115, -0.1083, 0.0125, 0.014, 0.0125, 0.0398, 0.0363, 0.0311, 0.0427, 0.0074, 0.0149, 0.0018, 0.0039, -0.0033, -0.0116, -0.0058, 0.0, -0.0164, -0.0306, -0.0672, -0.0548, -0.057, -0.0708, -0.0626, -0.084, -0.0816, -0.0804, -0.0661, -0.0677, -0.0728, -0.0848, -0.0784, -0.069, -0.0366, -0.0365, -0.0363, -0.0363, -0.0376, -0.0115, -0.0128, -0.0271, 0.0023, 0.0211, 0.0127, 0.0072, 0.0056, 0.0181, 0.024, 0.0231, 0.0411, 0.0332, -0.0153, -0.0108, 0.0035, -0.0035, 0.0001, -0.0238, -0.0118, 0.0172, 0.072, 0.092, 0.0857, 0.0758, 0.0751, 0.0801, 0.1001, 0.1177, 0.1001, 0.0784, 0.0761, 0.0708, 0.0614, 0.081, 0.0686, 0.0765, 0.1004, 0.094, 0.0833, 0.0919, 0.0992, 0.103, 0.1037, 0.0803, 0.0833, 0.0693, 0.059, 0.0758, 0.0793, 0.0595, 0.0782, 0.0655, 0.0704, 0.0822, 0.0827, 0.0827, 0.0795, 0.0757, 0.0984, 0.0376, 0.0345, 0.0303, 0.0149, 0.0159, 0.0219, 0.0213, 0.0398, 0.027, 0.0243, 0.036, 0.0454, 0.0485, 0.0501, 0.0314, 0.0413, 0.0402, 0.0475, 0.0475, 0.0355, 0.0271, 0.0628, 0.0586, 0.0586, 0.1089, 0.1308, 0.134, 0.1581, 0.1694, 0.1543, 0.172, 0.198, 0.22, 0.22, 0.2217, 0.1995, 0.2151, 0.2158, 0.2551, 0.3803, 0.441, 0.4873, 0.5144, 0.5695, 0.5375]}
{"unit_id": "quote:832213912150036481", "ticker_idx": 0, "ts": "2017-02-16T13:03:53+00:00", "symbol": "SPY", "kind": "etf", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Positive correlation between the #VIX and stocks confirms that this #bullmarket is gaining traction", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish on equities; SPY/VIX positive correlation seen as confirmation the bull market is gaining traction.", "resolved_tickers": ["SPY"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Positive correlation between the #VIX and stocks confirms that this #bullmarket is gaining traction. https://t.co/OBQjjRzrAr", "reply_text": null, "parent_text": null, "quoted_text": "Today was just 4th time $SPY closed up while $VIX up &gt; 10%. Other 3: 3/14/94, 3/31/94 &amp; 5/5/97.", "parent_author": null, "ret_m1d": 0.0008519660273746954, "ret_signed_m1d": 0.0008519660273746954, "alpha_spy_m1d": 0.0, "alpha_c_m1d": 0.0, "bench_spy_m1d": 0.0008519660273746954, "bench_c_m1d": 0.0008519660273746954, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.001576306565010066, "ret_signed_p1d": 0.001576306565010066, "alpha_spy_p1d": 0.0, "alpha_c_p1d": 0.0, "bench_spy_p1d": 0.001576306565010066, "bench_c_p1d": 0.001576306565010066, "ret_p1w": 0.007327961969260555, "ret_signed_p1w": 0.007327961969260555, "alpha_spy_p1w": 0.0, "alpha_c_p1w": 0.0, "bench_spy_p1w": 0.007327961969260555, "bench_c_p1w": 0.007327961969260555, "ret_p1m": 0.014234797470018545, "ret_signed_p1m": 0.014234797470018545, "alpha_spy_p1m": 0.0, "alpha_c_p1m": 0.0, "bench_spy_p1m": 0.014234797470018545, "bench_c_p1m": 0.014234797470018545, "ret_p3m": 0.027285652048791853, "ret_signed_p3m": 0.027285652048791853, "alpha_spy_p3m": 0.0, "alpha_c_p3m": 0.0, "bench_spy_p3m": 0.027285652048791853, "bench_c_p3m": 0.027285652048791853, "ret_p6m": 0.049666344051515265, "ret_signed_p6m": 0.049666344051515265, "alpha_spy_p6m": 0.0, "alpha_c_p6m": 0.0, "bench_spy_p6m": 0.049666344051515265, "bench_c_p6m": 0.049666344051515265, "price_path": [-0.0676, -0.0657, -0.0652, -0.0652, -0.0618, -0.0662, -0.0644, -0.0666, -0.07, -0.0696, -0.064, -0.061, -0.0487, -0.0464, -0.0406, -0.0417, -0.0353, -0.0433, -0.0394, -0.0412, -0.0392, -0.0354, -0.0381, -0.0398, -0.0384, -0.0384, -0.036, -0.044, -0.0442, -0.0477, -0.0477, -0.0404, -0.0347, -0.0354, -0.032, -0.0352, -0.0352, -0.0325, -0.0349, -0.0327, -0.0327, -0.0361, -0.034, -0.0375, -0.034, -0.0365, -0.0303, -0.0219, -0.023, -0.0245, -0.0305, -0.0306, -0.0302, -0.0296, -0.0229, -0.0247, -0.0246, -0.0233, -0.0176, -0.0137, -0.0083, -0.0043, 0.0009, 0.0, 0.0016, 0.0016, 0.0075, 0.0066, 0.0073, 0.0086, 0.0102, 0.0075, 0.0216, 0.0151, 0.0158, 0.0127, 0.0097, 0.0078, 0.0091, 0.0127, 0.0132, 0.0093, 0.018, 0.016, 0.0142, 0.0131, 0.0001, 0.0025, 0.0014, 0.0007, -0.0004, 0.0069, 0.0079, 0.0111, 0.0087, 0.007, 0.0076, 0.0046, 0.0074, 0.0064, 0.007, 0.0058, 0.0014, -0.0051, -0.0051, 0.0037, 0.0007, -0.0011, 0.007, 0.0038, 0.0148, 0.0207, 0.0201, 0.021, 0.0187, 0.0213, 0.0217, 0.0204, 0.0216, 0.0257, 0.0255, 0.0245, 0.0264, 0.0243, 0.0226, 0.0282, 0.0273, 0.0091, 0.0131, 0.0197, 0.0249, 0.0272, 0.0296, 0.0345, 0.0343, 0.0343, 0.0334, 0.0331, 0.0413, 0.0448, 0.044, 0.0407, 0.0426, 0.0431, 0.0415, 0.0413, 0.0464, 0.0451, 0.0431, 0.0433, 0.052, 0.0449, 0.0446, 0.0442, 0.0454, 0.0461, 0.0377, 0.047, 0.0378, 0.0397, 0.0415, 0.0415, 0.0439, 0.0343, 0.041, 0.0421, 0.0414, 0.0492, 0.051, 0.0559, 0.0557, 0.0563, 0.062, 0.0625, 0.0615, 0.0613, 0.0639, 0.0639, 0.0629, 0.0617, 0.0611, 0.0634, 0.0639, 0.0619, 0.0638, 0.0658, 0.0632, 0.0631, 0.0481, 0.0497]}
{"unit_id": "quote:887145752484618240", "ticker_idx": 0, "ts": "2017-07-18T03:03:24+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "According @ARKInvest, the #autonomous taxi networks should be worth $2 trillion today. $TSLA ($53B) is in the pole position in the US.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish TSLA: ARK values autonomous taxi networks at $2T; TSLA at $53B market cap is the US pole-position play, supporting the 'low if you believe in the future' framing.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "According @ARKInvest, the #autonomous taxi networks should be worth $2 trillion today. $TSLA ($53B) is in the pole position in the US. https://t.co/AyCtP3AKPg", "reply_text": null, "parent_text": null, "quoted_text": "I should clarify: Tesla stock is obviously high based on past &amp; present, but low if you believe in Tesla's future. Place bets accordingly … https://t.co/4zbc6vqZSZ", "parent_author": null, "ret_m1d": -0.02641364546815861, "ret_signed_m1d": -0.02641364546815861, "alpha_spy_m1d": -0.02588458378635261, "alpha_c_m1d": -0.021899226827645224, "bench_spy_m1d": -0.0005290616818059979, "bench_c_m1d": -0.004514418640513385, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.009078761803985369, "ret_signed_p1d": -0.009078761803985369, "alpha_spy_p1d": -0.014492983170179219, "alpha_c_p1d": -0.01392357299718694, "bench_spy_p1d": 0.00541422136619385, "bench_c_p1d": 0.00484481119320157, "ret_p1w": 0.03460875355841031, "ret_signed_p1w": 0.03460875355841031, "alpha_spy_p1w": 0.027444323155113137, "alpha_c_p1w": 0.02756172216022068, "bench_spy_p1w": 0.007164430403297173, "bench_c_p1w": 0.007047031398189629, "ret_p1m": 0.10562390066260963, "ret_signed_p1m": 0.10562390066260963, "alpha_spy_p1m": 0.10041340582384795, "alpha_c_p1m": 0.11322146421899237, "bench_spy_p1m": 0.005210494838761681, "bench_c_p1m": -0.007597563556382747, "ret_p3m": 0.0832621796559172, "ret_signed_p3m": 0.0832621796559172, "alpha_spy_p3m": 0.0402951287506601, "alpha_c_p3m": 0.07530418786023829, "bench_spy_p3m": 0.0429670509052571, "bench_c_p3m": 0.00795799179567891, "ret_p6m": 0.01998532183020396, "ret_signed_p6m": 0.01998532183020396, "alpha_spy_p6m": -0.10713511276737919, "alpha_c_p6m": -0.11125735067559561, "bench_spy_p6m": 0.12712043459758315, "bench_c_p6m": 0.13124267250579957, "price_path": [-0.0784, -0.069, -0.0616, -0.044, -0.0551, -0.0597, -0.0432, -0.0165, -0.0285, -0.0525, -0.0999, -0.0606, -0.0641, -0.0213, -0.0092, -0.0157, -0.0104, -0.0377, -0.0342, -0.0674, -0.0462, -0.053, -0.0545, -0.0743, -0.0549, -0.0348, -0.0094, -0.0094, 0.0209, 0.0389, 0.037, 0.0354, 0.0581, 0.075, 0.0957, 0.1272, 0.0886, 0.0937, 0.1454, 0.1597, 0.1435, 0.1315, 0.1266, 0.134, 0.1467, 0.1656, 0.1682, 0.15, 0.104, 0.131, 0.099, 0.1017, 0.0743, 0.0743, -0.0035, -0.0591, -0.0458, -0.0371, -0.0031, 0.0039, -0.0147, -0.0014, -0.0264, 0.0, -0.0091, 0.0051, 0.0005, 0.0435, 0.0346, 0.0476, 0.0189, 0.0208, -0.0145, -0.0264, -0.0072, 0.0574, 0.0873, 0.082, 0.1127, 0.1075, 0.0827, 0.0903, 0.1083, 0.1039, 0.1056, 0.0721, 0.0586, 0.0293, 0.0399, 0.0747, 0.0752, 0.0604, 0.0531, 0.0583, 0.076, 0.0843, 0.0827, 0.0827, 0.065, 0.0496, 0.0682, 0.0462, 0.108, 0.1051, 0.1157, 0.1505, 0.1571, 0.1729, 0.1428, 0.1391, 0.1165, 0.0696, 0.051, 0.0518, 0.0388, 0.0346, 0.0392, 0.0405, 0.0606, 0.0816, 0.0825, 0.0873, 0.0448, 0.0833, 0.0803, 0.0836, 0.0833, 0.0681, 0.0838, 0.0957, 0.0718, 0.0514, 0.0267, 0.0277, -0.0073, -0.0063, -0.0225, -0.0249, 0.01, -0.0218, -0.0883, -0.0675, -0.0776, -0.0676, -0.0727, -0.0769, -0.0769, -0.0391, -0.0595, -0.0516, -0.048, -0.0402, -0.0594, -0.0318, -0.0476, -0.0476, -0.0387, -0.0348, -0.0326, -0.0631, -0.0591, -0.0661, -0.0702, -0.0748, -0.0456, -0.0518, -0.0399, 0.002, 0.039, 0.0329, 0.0294, 0.0463, 0.0324, 0.0087, 0.0023, 0.0104, -0.0093, -0.0093, -0.0334, -0.0506, -0.0392, -0.0515, -0.0515, -0.0235, -0.0335, -0.0415, -0.0355, 0.0249, 0.0166, 0.02]}
{"unit_id": "quote:952771047060783105", "ticker_idx": 0, "ts": "2018-01-15T05:14:53+00:00", "symbol": "equities", "kind": "sector", "geography": "US", "sub_sector": null, "direction": "long", "conviction": "high", "explicit": false, "explicit_audit": "kept_implicit_alias_present", "polarity_reversed": false, "quote": "could become the strongest and longest bull market in history", "tweet_type": "prediction", "timeline": "years", "summary": "Bullish equities: ARK's 'deflationary boom' thesis could make this the strongest and longest bull market in history.", "resolved_tickers": ["SPY"], "resolution_method": "etf", "resolution_reason": "US equities sector broad proxy is SPY", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "The strongest bull markets are when #equities are climbing a wall of worry.  This one qualifies and, given the “deflationary boom” that @ARKInvest is anticipating, could become the strongest and longest bull market in history! https://t.co/8Ed4kAooE2", "reply_text": null, "parent_text": null, "quoted_text": "2017 Is A Win For Active – Best Performance In A Decade https://t.co/fpORYyUPNq #TopStories #activeinvestmentmanagers $ https://t.co/AEloottMGP", "parent_author": null, "ret_m1d": 0.0, "ret_signed_m1d": 0.0, "alpha_spy_m1d": 0.0, "alpha_c_m1d": 0.0, "bench_spy_m1d": 0.0, "bench_c_m1d": 0.0, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.00341803664157736, "ret_signed_p1d": -0.00341803664157736, "alpha_spy_p1d": 0.0, "alpha_c_p1d": 0.0, "bench_spy_p1d": -0.00341803664157736, "bench_c_p1d": -0.00341803664157736, "ret_p1w": 0.017162979060806327, "ret_signed_p1w": 0.017162979060806327, "alpha_spy_p1w": 0.0, "alpha_c_p1w": 0.0, "bench_spy_p1w": 0.017162979060806327, "bench_c_p1w": 0.017162979060806327, "ret_p1m": -0.04288991925898189, "ret_signed_p1m": -0.04288991925898189, "alpha_spy_p1m": 0.0, "alpha_c_p1m": 0.0, "bench_spy_p1m": -0.04288991925898189, "bench_c_p1m": -0.04288991925898189, "ret_p3m": -0.0393096358192524, "ret_signed_p3m": -0.0393096358192524, "alpha_spy_p3m": 0.0, "alpha_c_p3m": 0.0, "bench_spy_p3m": -0.0393096358192524, "bench_c_p3m": -0.0393096358192524, "ret_p6m": 0.012069639744115346, "ret_signed_p6m": 0.012069639744115346, "alpha_spy_p6m": 0.0, "alpha_c_p6m": 0.0, "bench_spy_p6m": 0.012069639744115346, "bench_c_p6m": 0.012069639744115346, "price_path": [-0.0846, -0.0843, -0.0796, -0.0832, -0.0816, -0.0861, -0.0849, -0.0774, -0.0809, -0.0794, -0.0782, -0.0779, -0.0748, -0.0734, -0.074, -0.0724, -0.0758, -0.0761, -0.0752, -0.0774, -0.082, -0.0742, -0.0769, -0.0753, -0.0693, -0.0701, -0.0701, -0.0679, -0.0684, -0.059, -0.0595, -0.0513, -0.0533, -0.0544, -0.0578, -0.0576, -0.0547, -0.0495, -0.0466, -0.045, -0.0451, -0.049, -0.0411, -0.035, -0.0387, -0.0392, -0.0372, -0.0375, -0.0375, -0.0386, -0.0381, -0.0362, -0.0398, -0.0398, -0.0329, -0.0268, -0.0227, -0.0162, -0.0144, -0.0122, -0.0137, -0.0065, 0.0, 0.0, -0.0034, 0.0061, 0.0044, 0.009, 0.0172, 0.0193, 0.0189, 0.0194, 0.0312, 0.0243, 0.0138, 0.0143, 0.0132, -0.0089, -0.0503, -0.0316, -0.0369, -0.073, -0.0591, -0.0453, -0.0429, -0.03, -0.0176, -0.0173, -0.0173, -0.0235, -0.0283, -0.0271, -0.0116, -0.0001, -0.0126, -0.0226, -0.0368, -0.0318, -0.0206, -0.0181, -0.0185, -0.0137, 0.0034, 0.0022, -0.0043, -0.0094, -0.0105, -0.0094, -0.0228, -0.0212, -0.0231, -0.0475, -0.0678, -0.0423, -0.0586, -0.0613, -0.0494, -0.0494, -0.0699, -0.058, -0.0479, -0.0404, -0.0617, -0.0571, -0.0421, -0.0471, -0.0393, -0.0421, -0.0343, -0.0239, -0.0232, -0.0286, -0.0369, -0.037, -0.05, -0.0476, -0.0379, -0.037, -0.0444, -0.0427, -0.0492, -0.0513, -0.039, -0.0357, -0.0357, -0.0264, -0.0173, -0.0143, -0.0138, -0.0206, -0.0165, -0.0173, -0.0198, -0.0124, -0.0152, -0.0125, -0.0145, -0.0168, -0.0168, -0.0281, -0.0152, -0.0212, -0.0116, -0.0069, -0.0062, 0.0021, 0.002, 0.005, 0.0063, 0.0076, 0.0044, 0.0069, 0.0056, 0.0036, -0.0003, 0.0014, -0.0048, -0.003, -0.0166, -0.0144, -0.0226, -0.017, -0.0156, -0.0135, -0.017, -0.017, -0.0089, -0.0006, 0.0084, 0.0121]}
{"unit_id": "quote:1944422704381108428", "ticker_idx": 0, "ts": "2025-07-13T15:44:33+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": false, "explicit_audit": "flipped_to_implicit", "polarity_reversed": false, "quote": "Supply shock coming for BTC and ETH", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Endorses supply-shock thesis for BTC and ETH; ETF demand absorbing years of new ETH supply in days.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "The price of any good is determined at the margin, demand relative to supply. The math is mathin’ !", "reply_text": null, "parent_text": null, "quoted_text": "Since The Merge 1,030 days ago, only ~373k ETH net has been issued (accounting for the burn).\n\nIn just the last 9 days, ETH ETFs have pulled in ~380k ETH.\n\nThat’s 3 years of new supply eaten up in less than two weeks.\n\nSupply shock coming for BTC and ETH", "parent_author": null, "ret_m1d": -0.019463635509109678, "ret_signed_m1d": -0.019463635509109678, "alpha_spy_m1d": -0.017559053932865276, "alpha_c_m1d": null, "bench_spy_m1d": -0.0019045815762444018, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.01729262210051885, "ret_signed_p1d": -0.01729262210051885, "alpha_spy_p1d": -0.01301935695632217, "alpha_c_p1d": null, "bench_spy_p1d": -0.004273265144196681, "bench_c_p1d": null, "ret_p1w": -0.02010988763139665, "ret_signed_p1w": -0.02010988763139665, "alpha_spy_p1w": -0.02644782047718819, "alpha_c_p1w": null, "bench_spy_p1w": 0.0063379328457915385, "bench_c_p1w": null, "ret_p1m": 0.0026967369678245756, "ret_signed_p1m": 0.0026967369678245756, "alpha_spy_p1m": -0.025919963256177736, "alpha_c_p1m": null, "bench_spy_p1m": 0.02861670022400231, "bench_c_p1m": null, "ret_p3m": 0.015485084769583102, "ret_signed_p3m": 0.015485084769583102, "alpha_spy_p3m": -0.061675541018409996, "alpha_c_p3m": null, "bench_spy_p3m": 0.0771606257879931, "bench_c_p3m": null, "ret_p6m": -0.2179452363578811, "ret_signed_p6m": -0.2179452363578811, "alpha_spy_p6m": -0.3315283618419569, "alpha_c_p6m": null, "bench_spy_p6m": 0.11358312548407579, "bench_c_p6m": null, "price_path": [-0.2988, -0.2916, -0.2954, -0.2698, -0.2203, -0.2182, -0.2162, -0.2097, -0.2075, -0.2133, -0.214, -0.1949, -0.1914, -0.2094, -0.1923, -0.1904, -0.1386, -0.1408, -0.1422, -0.1308, -0.1361, -0.1344, -0.1365, -0.1188, -0.109, -0.0849, -0.0682, -0.1048, -0.0869, -0.0906, -0.1005, -0.1185, -0.1323, -0.1165, -0.1203, -0.1261, -0.1525, -0.129, -0.0797, -0.08, -0.0931, -0.1162, -0.1148, -0.1089, -0.1272, -0.1249, -0.1265, -0.138, -0.1191, -0.1152, -0.1042, -0.1075, -0.1065, -0.1061, -0.1181, -0.0917, -0.0851, -0.0986, -0.0964, -0.0909, -0.0711, -0.0322, -0.0195, 0.0, -0.0173, -0.0093, -0.0047, -0.0154, -0.0201, 0.0012, -0.0091, -0.0124, -0.0185, -0.0161, -0.0161, -0.0168, -0.0341, -0.0545, -0.0399, -0.0476, -0.0402, -0.0196, -0.0264, -0.0093, 0.0027, 0.0292, -0.0124, -0.0205, -0.03, -0.0586, -0.0465, -0.062, -0.0248, -0.0811, -0.0671, -0.072, -0.061, -0.0954, -0.0884, -0.0722, -0.0678, -0.0761, -0.0768, -0.0649, -0.0694, -0.0492, -0.0362, -0.0313, -0.0368, -0.0251, -0.0282, -0.0226, -0.0347, -0.0593, -0.0654, -0.0544, -0.0901, -0.0846, -0.0455, -0.0483, -0.01, 0.0069, 0.0202, 0.0409, 0.0134, 0.0292, 0.0155, -0.0554, -0.0382, -0.0562, -0.0756, -0.0973, -0.1117, -0.0773, -0.0949, -0.1015, -0.0816, -0.0736, -0.0478, -0.0575, -0.0817, -0.0963, -0.0859, -0.111, -0.1524, -0.1331, -0.1548, -0.1375, -0.1156, -0.1406, -0.1517, -0.1681, -0.2124, -0.2316, -0.2245, -0.2368, -0.2772, -0.29, -0.2635, -0.2712, -0.2447, -0.2383, -0.2414, -0.2798, -0.2378, -0.2196, -0.2312, -0.2542, -0.2437, -0.2266, -0.2322, -0.2281, -0.2468, -0.2789, -0.267, -0.2812, -0.2869, -0.2649, -0.2617, -0.2706, -0.269, -0.2721, -0.2716, -0.2729, -0.2622, -0.2698, -0.2596, -0.2495, -0.2167, -0.2179]}
{"unit_id": "quote:1944422704381108428", "ticker_idx": 1, "ts": "2025-07-13T15:44:33+00:00", "symbol": "ETH-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": false, "explicit_audit": "flipped_to_implicit", "polarity_reversed": false, "quote": "Supply shock coming for BTC and ETH", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Endorses supply-shock thesis for BTC and ETH; ETF demand absorbing years of new ETH supply in days.", "resolved_tickers": ["ETH-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "The price of any good is determined at the margin, demand relative to supply. The math is mathin’ !", "reply_text": null, "parent_text": null, "quoted_text": "Since The Merge 1,030 days ago, only ~373k ETH net has been issued (accounting for the burn).\n\nIn just the last 9 days, ETH ETFs have pulled in ~380k ETH.\n\nThat’s 3 years of new supply eaten up in less than two weeks.\n\nSupply shock coming for BTC and ETH", "parent_author": null, "ret_m1d": -0.01840628680064349, "ret_signed_m1d": -0.01840628680064349, "alpha_spy_m1d": -0.016501705224399088, "alpha_c_m1d": null, "bench_spy_m1d": -0.0019045815762444018, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.04199272686615596, "ret_signed_p1d": 0.04199272686615596, "alpha_spy_p1d": 0.04626599201035264, "alpha_c_p1d": null, "bench_spy_p1d": -0.004273265144196681, "bench_c_p1d": null, "ret_p1w": 0.24889916578118942, "ret_signed_p1w": 0.24889916578118942, "alpha_spy_p1w": 0.24256123293539789, "alpha_c_p1w": null, "bench_spy_p1w": 0.0063379328457915385, "bench_c_p1w": null, "ret_p1m": 0.5235281464284312, "ret_signed_p1m": 0.5235281464284312, "alpha_spy_p1m": 0.49491144620442884, "alpha_c_p1m": null, "bench_spy_p1m": 0.02861670022400231, "bench_c_p1m": null, "ret_p3m": 0.449928601434777, "ret_signed_p3m": 0.449928601434777, "alpha_spy_p3m": 0.3727679756467839, "alpha_c_p3m": null, "bench_spy_p3m": 0.0771606257879931, "bench_c_p3m": null, "ret_p6m": 0.09378129637108934, "ret_signed_p6m": 0.09378129637108934, "alpha_spy_p6m": -0.019801829112986447, "alpha_c_p6m": null, "bench_spy_p6m": 0.11358312548407579, "bench_c_p6m": null, "price_path": [-0.4763, -0.4748, -0.4727, -0.4758, -0.4168, -0.404, -0.4127, -0.4071, -0.403, -0.4029, -0.4047, -0.3896, -0.3885, -0.3961, -0.3977, -0.3988, -0.2678, -0.2216, -0.1716, -0.1106, -0.1338, -0.1548, -0.1583, -0.1607, -0.1623, -0.153, -0.1159, -0.1616, -0.1491, -0.1162, -0.1099, -0.1263, -0.1604, -0.1348, -0.1394, -0.1343, -0.1981, -0.1779, -0.1101, -0.0663, -0.0796, -0.12, -0.144, -0.1569, -0.1668, -0.1623, -0.1632, -0.2011, -0.1963, -0.1876, -0.1971, -0.1982, -0.1956, -0.1749, -0.2016, -0.1467, -0.1402, -0.1675, -0.1561, -0.132, -0.0805, -0.0194, -0.0184, 0.0, 0.042, 0.1189, 0.1538, 0.1778, 0.2489, 0.2442, 0.2045, 0.2305, 0.2369, 0.2569, 0.2589, 0.2638, 0.2268, 0.1576, 0.2342, 0.1986, 0.2225, 0.299, 0.3307, 0.4027, 0.5235, 0.5784, 0.5093, 0.4734, 0.4311, 0.3518, 0.4384, 0.4015, 0.6033, 0.4512, 0.5267, 0.4945, 0.4957, 0.4469, 0.4318, 0.4354, 0.4769, 0.4266, 0.4293, 0.4297, 0.43, 0.4433, 0.4805, 0.5648, 0.5023, 0.4945, 0.5241, 0.5232, 0.4837, 0.3948, 0.3823, 0.3784, 0.2837, 0.3393, 0.3996, 0.3759, 0.4439, 0.4893, 0.4983, 0.5557, 0.4771, 0.5025, 0.4499, 0.2753, 0.4089, 0.369, 0.3233, 0.2925, 0.2719, 0.321, 0.2865, 0.2638, 0.2796, 0.3057, 0.3673, 0.3215, 0.2954, 0.2625, 0.2767, 0.1954, 0.0927, 0.1367, 0.0992, 0.14, 0.1842, 0.1334, 0.1327, 0.0728, 0.03, 0.0037, 0.0364, 0.0032, -0.0603, -0.0822, -0.0201, -0.0184, 0.0048, 0.0004, 0.0063, -0.0707, -0.0051, 0.0591, 0.0401, 0.0037, 0.0371, 0.1021, 0.1036, 0.0742, 0.0235, -0.0163, -0.0163, -0.0604, -0.0618, -0.0117, -0.0024, -0.0166, -0.0225, -0.0364, -0.0291, -0.0262, -0.0139, -0.0154, -0.0043, 0.0369, 0.0706, 0.0938]}
{"unit_id": "quote:1554672065319419904", "ticker_idx": 0, "ts": "2022-08-03T03:34:39+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "the weight of the evidence suggests that the worst is behind us", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Cathie Wood implies Bitcoin's downturn has bottomed; worst is behind, bullish forward.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "In The Bitcoin Monthly, @yassineARK, @downingARK, and @dpuellARK harness on-chain crypto analytics and macroeconomic analysis to understand crypto market dynamics. Thanks to the transparency of crypto networks, the weight of the evidence suggests that the worst is behind us.", "reply_text": null, "parent_text": null, "quoted_text": "In our July report of The Bitcoin Monthly:\n\n▪️Bitcoin closed July up 16.6%, rising from $19,965 to $23,325, its most significant gain since October 2021.\n▪️Market contagion appears to be contained, as deleveraging subsides.\n▪️Much more - read it here!\nhttps://t.co/pZYBvklsFn", "parent_author": null, "ret_m1d": 0.005760590462232207, "ret_signed_m1d": 0.005760590462232207, "alpha_spy_m1d": 0.02117855320663009, "alpha_c_m1d": null, "bench_spy_m1d": -0.015417962744397884, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.009434736504108754, "ret_signed_p1d": -0.009434736504108754, "alpha_spy_p1d": -0.008759266516693787, "alpha_c_p1d": null, "bench_spy_p1d": -0.0006754699874149672, "bench_c_p1d": null, "ret_p1w": 0.04819707128380202, "ret_signed_p1w": 0.04819707128380202, "alpha_spy_p1w": 0.034829847198144526, "alpha_c_p1w": null, "bench_spy_p1w": 0.013367224085657492, "bench_c_p1w": null, "ret_p1m": -0.11902769604079944, "ret_signed_p1m": -0.11902769604079944, "alpha_spy_p1m": -0.07552434515025674, "alpha_c_p1m": null, "bench_spy_p1m": -0.04350335089054269, "bench_c_p1m": null, "ret_p3m": -0.10289250305965114, "ret_signed_p3m": -0.10289250305965114, "alpha_spy_p3m": -0.03858199575131849, "alpha_c_p3m": null, "bench_spy_p3m": -0.06431050730833265, "bench_c_p3m": null, "ret_p6m": 0.008153085485917755, "ret_signed_p6m": 0.008153085485917755, "alpha_spy_p6m": 0.023042867580601478, "alpha_c_p6m": null, "bench_spy_p6m": -0.014889782094683723, "bench_c_p6m": null, "price_path": [0.5775, 0.3261, 0.3579, 0.2666, 0.2714, 0.2817, 0.3071, 0.3318, 0.2571, 0.3269, 0.2781, 0.2737, 0.298, 0.294, 0.281, 0.253, 0.3887, 0.3916, 0.3043, 0.3336, 0.3002, 0.3731, 0.3637, 0.3225, 0.318, 0.273, -0.0157, -0.028, -0.012, -0.1079, -0.104, -0.0984, -0.0935, -0.1252, -0.0771, -0.0707, -0.0924, -0.1123, -0.12, -0.134, -0.1566, -0.1145, -0.1163, -0.1006, -0.0529, -0.0488, -0.1259, -0.1542, -0.1153, -0.0996, -0.088, -0.0158, 0.0238, 0.0169, 0.0139, -0.0058, -0.065, -0.0703, 0.0037, 0.0437, 0.0419, 0.0205, 0.0058, 0.0, -0.0094, 0.0194, 0.0421, 0.0139, 0.0482, 0.0486, 0.0681, 0.0565, 0.0454, 0.0214, 0.016, -0.0862, -0.0634, -0.0577, -0.0635, -0.0545, -0.1132, -0.1115, -0.1335, -0.1224, -0.119, -0.1259, -0.1328, -0.1755, -0.1557, -0.1539, -0.0641, -0.0208, -0.1116, -0.114, -0.1377, -0.1345, -0.1445, -0.1731, -0.1882, -0.1503, -0.1553, -0.1586, -0.1635, -0.1497, -0.1433, -0.1495, -0.1411, -0.1098, -0.1176, -0.1265, -0.1444, -0.1622, -0.1661, -0.1615, -0.1516, -0.1602, -0.1443, -0.1537, -0.1623, -0.166, -0.1608, -0.1532, -0.1204, -0.0909, -0.1121, -0.0985, -0.1029, -0.1034, -0.1176, -0.1154, -0.0744, -0.0982, -0.1884, -0.3049, -0.2302, -0.2544, -0.2726, -0.261, -0.2704, -0.2696, -0.2691, -0.309, -0.2914, -0.2729, -0.2732, -0.2768, -0.2902, -0.2802, -0.2485, -0.2573, -0.252, -0.257, -0.252, -0.2626, -0.2457, -0.2501, -0.2469, -0.2217, -0.2202, -0.2399, -0.2713, -0.2804, -0.26, -0.2639, -0.2633, -0.2648, -0.2594, -0.2683, -0.2755, -0.2716, -0.2733, -0.2695, -0.2699, -0.2619, -0.263, -0.258, -0.2473, -0.2364, -0.215, -0.1741, -0.1286, -0.0734, -0.0738, -0.0944, -0.077, -0.0074, 0.0038, -0.0092, 0.0119, 0.0082]}
{"unit_id": "quote:1922109018710913516", "ticker_idx": 0, "ts": "2025-05-13T01:57:55+00:00", "symbol": "COIN", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "@ARKInvest is pleased that index-sensitive managers will be compelled to consider $COIN now", "tweet_type": "news_reaction", "timeline": "unspecified", "summary": "Bullish on COIN: S&P 500 inclusion will compel index-sensitive managers to buy, broadening the investor base.", "resolved_tickers": ["COIN"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLF", "bench_c_reason": "industry='Financial Data & Stock Exchanges'", "bench_c_industry": "Financial Data & Stock Exchanges", "unit_kind": "quote", "lang": "en", "tweet_text": "Well deserved recognition, @brian_armstrong and @coinbase! While you probably agree that active managers should depend on fundamental research, not index providers, to screen for stocks, @ARKInvest is pleased that index-sensitive managers will be compelled to consider $COIN now.", "reply_text": null, "parent_text": null, "quoted_text": "Coinbase just became the first and only crypto company to join the S&amp;P 500.\n\nThis milestone represents what the true believers, from retail investors to institutional investors to our employees and partners, knew all along.\n\nCrypto is here to stay.", "parent_author": null, "ret_m1d": -0.1933826152436554, "ret_signed_m1d": -0.1933826152436554, "alpha_spy_m1d": -0.1868220001423322, "alpha_c_m1d": -0.18927134788069055, "bench_spy_m1d": -0.0065606151013232195, "bench_c_m1d": -0.004111267362964854, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.025340638070424193, "ret_signed_p1d": 0.025340638070424193, "alpha_spy_p1d": 0.02406257840674031, "alpha_c_p1d": 0.02808143242303196, "bench_spy_p1d": 0.0012780596636838837, "bench_c_p1d": -0.002740794352607767, "ret_p1w": 0.01743873527740636, "ret_signed_p1w": 0.01743873527740636, "alpha_spy_p1w": 0.007197531366032628, "alpha_c_p1w": 0.012348677789127294, "bench_spy_p1w": 0.01024120391137373, "bench_c_p1w": 0.005090057488279065, "ret_p1m": -0.024211760873802946, "ret_signed_p1m": -0.024211760873802946, "alpha_spy_p1m": -0.048954402641747996, "alpha_c_p1m": -0.022645636006057512, "bench_spy_p1m": 0.02474264176794505, "bench_c_p1m": -0.0015661248677454331, "ret_p3m": 0.2087972593337284, "ret_signed_p3m": 0.2087972593337284, "alpha_spy_p3m": 0.11980584607683387, "alpha_c_p3m": 0.19024415486959012, "bench_spy_p3m": 0.08899141325689452, "bench_c_p3m": 0.01855310446413827, "ret_p6m": 0.24289605052162022, "ret_signed_p6m": 0.24289605052162022, "alpha_spy_p6m": 0.08164729502288126, "alpha_c_p6m": 0.20620829389918405, "bench_spy_p6m": 0.16124875549873896, "bench_c_p6m": 0.036687756622436174, "price_path": [0.1604, 0.0678, 0.0678, 0.0301, 0.0069, -0.0012, -0.0838, -0.1161, -0.1729, -0.171, -0.1889, -0.1607, -0.1991, -0.1726, -0.1341, -0.1663, -0.1536, -0.3023, -0.2538, -0.2537, -0.3091, -0.2872, -0.2645, -0.2949, -0.2614, -0.2589, -0.261, -0.2097, -0.205, -0.245, -0.2659, -0.323, -0.3296, -0.3207, -0.2879, -0.3353, -0.375, -0.3878, -0.4104, -0.3107, -0.3397, -0.3169, -0.3127, -0.3166, -0.3297, -0.3187, -0.3187, -0.3188, -0.2604, -0.2417, -0.2064, -0.184, -0.201, -0.1976, -0.2102, -0.2164, -0.2023, -0.2238, -0.2336, -0.2349, -0.1962, -0.2241, -0.1934, 0.0, 0.0253, -0.0485, 0.0372, 0.0276, 0.0174, 0.0081, 0.0586, 0.0244, 0.0244, 0.037, -0.0102, -0.0314, -0.04, -0.0396, 0.0078, -0.0035, -0.0494, -0.0219, -0.0011, -0.0076, -0.0242, -0.0617, -0.0552, 0.0182, -0.0119, 0.1494, 0.1494, 0.2004, 0.1973, 0.3422, 0.3833, 0.46, 0.3757, 0.3643, 0.3053, 0.3797, 0.385, 0.385, 0.39, 0.3812, 0.4552, 0.5141, 0.5067, 0.5337, 0.5104, 0.55, 0.5989, 0.634, 0.6101, 0.5743, 0.5485, 0.5442, 0.5246, 0.4772, 0.4459, 0.4694, 0.4705, 0.225, 0.2385, 0.1599, 0.1817, 0.2098, 0.2088, 0.2441, 0.2558, 0.2729, 0.2647, 0.2361, 0.2485, 0.1758, 0.1849, 0.1689, 0.245, 0.1911, 0.2008, 0.2027, 0.2007, 0.1854, 0.1854, 0.1816, 0.1768, 0.1942, 0.1641, 0.1763, 0.2409, 0.2275, 0.261, 0.2575, 0.2729, 0.2764, 0.2478, 0.3357, 0.333, 0.2921, 0.2459, 0.2525, 0.1938, 0.2168, 0.3001, 0.3137, 0.3475, 0.4483, 0.4793, 0.5028, 0.4627, 0.5075, 0.5064, 0.3897, 0.3896, 0.3295, 0.3091, 0.2855, 0.308, 0.3382, 0.3181, 0.2469, 0.2564, 0.3798, 0.4069, 0.3827, 0.357, 0.2787, 0.3382, 0.2862, 0.1963, 0.2429]}
{"unit_id": "quote:908057038273617920", "ticker_idx": 0, "ts": "2017-09-13T19:57:23+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Validating $TSLA's cylindrical strategy after most traditional OEMs have gone prismatic.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish TSLA: Samsung's cylindrical EV battery validates Tesla's battery strategy over prismatic OEM approach.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "Validating $TSLA's cylindrical strategy after most traditional OEMs have gone prismatic. https://t.co/2HLGOc0JrP", "reply_text": null, "parent_text": null, "quoted_text": "Interesting to see Samsung unveil a #EV battery pack using cylindrical cells. https://t.co/49mjoIUViv", "parent_author": null, "ret_m1d": -0.009502239961576953, "ret_signed_m1d": -0.009502239961576953, "alpha_spy_m1d": -0.009022824885768221, "alpha_c_m1d": -0.0023348803070862845, "bench_spy_m1d": -0.0004794150758087312, "bench_c_m1d": -0.007167359654490668, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.031155332074128017, "ret_signed_p1d": 0.031155332074128017, "alpha_spy_p1d": 0.03147515211813001, "alpha_c_p1d": 0.036558775521011944, "bench_spy_p1d": -0.00031982004400199493, "bench_c_p1d": -0.0054034434468839265, "ret_p1w": 0.02097047138016106, "ret_signed_p1w": 0.02097047138016106, "alpha_spy_p1w": 0.01644959211513264, "alpha_c_p1w": 0.030157875028473446, "bench_spy_p1w": 0.004520879265028421, "bench_c_p1w": -0.009187403648312387, "ret_p1m": -0.028807016759909265, "ret_signed_p1m": -0.028807016759909265, "alpha_spy_p1m": -0.05172647327722779, "alpha_c_p1m": -0.033340836219440284, "bench_spy_p1m": 0.022919456517318526, "bench_c_p1m": 0.004533819459531019, "ret_p3m": -0.10190313535248874, "ret_signed_p3m": -0.10190313535248874, "alpha_spy_p3m": -0.1717023725022363, "alpha_c_p3m": -0.18035499373702402, "bench_spy_p3m": 0.06979923714974756, "bench_c_p3m": 0.07845185838453528, "ret_p6m": -0.10138433422136006, "ret_signed_p6m": -0.10138433422136006, "alpha_spy_p6m": -0.20810483201226382, "alpha_c_p6m": -0.2630061027172388, "bench_spy_p6m": 0.10672049779090376, "bench_c_p6m": 0.16162176849587873, "price_path": [0.0141, 0.0097, 0.0164, 0.0278, 0.0447, 0.047, 0.0307, -0.0105, 0.0137, -0.015, -0.0126, -0.0372, -0.0372, -0.1069, -0.1567, -0.1447, -0.137, -0.1065, -0.1002, -0.1169, -0.105, -0.1274, -0.1037, -0.1119, -0.0991, -0.1033, -0.0647, -0.0727, -0.0611, -0.0867, -0.0851, -0.1168, -0.1274, -0.1101, -0.0523, -0.0254, -0.0302, -0.0028, -0.0074, -0.0296, -0.0228, -0.0066, -0.0106, -0.0091, -0.0391, -0.0513, -0.0775, -0.0679, -0.0368, -0.0363, -0.0496, -0.0562, -0.0515, -0.0356, -0.0282, -0.0296, -0.0296, -0.0454, -0.0593, -0.0427, -0.0623, -0.0069, -0.0095, 0.0, 0.0312, 0.0371, 0.0513, 0.0242, 0.021, 0.0007, -0.0413, -0.058, -0.0573, -0.069, -0.0727, -0.0686, -0.0674, -0.0494, -0.0306, -0.0298, -0.0255, -0.0636, -0.0291, -0.0318, -0.0288, -0.0291, -0.0427, -0.0286, -0.018, -0.0394, -0.0577, -0.0798, -0.0789, -0.1103, -0.1094, -0.1239, -0.126, -0.0947, -0.1233, -0.1829, -0.1642, -0.1733, -0.1643, -0.1689, -0.1727, -0.1727, -0.1388, -0.1571, -0.15, -0.1467, -0.1397, -0.157, -0.1322, -0.1464, -0.1464, -0.1384, -0.1349, -0.1329, -0.1603, -0.1567, -0.163, -0.1666, -0.1707, -0.1446, -0.1502, -0.1395, -0.1019, -0.0688, -0.0743, -0.0774, -0.0622, -0.0747, -0.0959, -0.1017, -0.0944, -0.112, -0.112, -0.1336, -0.1491, -0.1389, -0.1499, -0.1499, -0.1248, -0.1337, -0.1409, -0.1356, -0.0814, -0.0889, -0.0858, -0.0772, -0.0819, -0.0819, -0.0715, -0.0521, -0.0591, -0.0443, -0.0401, -0.0367, -0.0555, -0.0781, -0.0638, -0.0456, -0.0557, -0.0325, -0.0464, -0.0614, -0.0904, -0.0881, -0.058, -0.1393, -0.1524, -0.1379, -0.1162, -0.1199, -0.0878, -0.0839, -0.0839, -0.0859, -0.0899, -0.0548, -0.0387, -0.0241, -0.0416, -0.0633, -0.0964, -0.0849, -0.0898, -0.1038, -0.0926, -0.1014]}
{"unit_id": "quote:1212913782592331777", "ticker_idx": 0, "ts": "2020-01-03T01:49:15+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Attempting to explain how misunderstood $TSLA has been and how disruptive it will be, I have compared it to $AMZN. If our analysis - based on Wright's Law - is correct, #Tesla will have more of an impact on global transportation than #Amazon has had & will have on global retail.", "tweet_type": "prediction", "timeline": "years", "summary": "Long TSLA: Cathie Wood argues it is deeply misunderstood and will be more disruptive to global transportation than Amazon has been to retail.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "Attempting to explain how misunderstood $TSLA has been and how disruptive it will be, I have compared it to $AMZN. If our analysis - based on Wright’s Law - is correct, #Tesla will have more of an impact on global transportation than #Amazon has had &amp; will have on global retail.", "reply_text": null, "parent_text": null, "quoted_text": "Elon Musk has faced the same skepticism as Jeff Bezos did during Amazon's first 10 years as a public company https://t.co/3p3n26ZBlY", "parent_author": null, "ret_m1d": -0.02878040123422909, "ret_signed_m1d": -0.02878040123422909, "alpha_spy_m1d": -0.03641051804595541, "alpha_c_m1d": -0.03736325499568893, "bench_spy_m1d": 0.007630116811726317, "bench_c_m1d": 0.008582853761459841, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.01925463704513497, "ret_signed_p1d": 0.01925463704513497, "alpha_spy_p1d": 0.01543983757871592, "alpha_c_p1d": 0.016473271547984503, "bench_spy_p1d": 0.00381479946641905, "bench_c_p1d": 0.0027813654971504675, "ret_p1w": 0.07932100611185944, "ret_signed_p1w": 0.07932100611185944, "alpha_spy_p1w": 0.06908575134082251, "alpha_c_p1w": 0.07526801670838412, "bench_spy_p1w": 0.010235254771036928, "bench_c_p1w": 0.0040529894034753156, "ret_p1m": 0.7606825794503627, "ret_signed_p1m": 0.7606825794503627, "alpha_spy_p1m": 0.7553789817560839, "alpha_c_p1m": 0.757662904393059, "bench_spy_p1m": 0.005303597694278794, "bench_c_p1m": 0.0030196750573037168, "ret_p3m": 0.08701834022826449, "ret_signed_p3m": 0.08701834022826449, "alpha_spy_p3m": 0.31906013885478757, "alpha_c_p3m": 0.3387496662182181, "bench_spy_p3m": -0.23204179862652308, "bench_c_p3m": -0.2517313259899536, "ret_p6m": 1.2783910073686147, "ret_signed_p6m": 1.2783910073686147, "alpha_spy_p6m": 1.3243326649974316, "alpha_c_p6m": 1.2690372611947751, "bench_spy_p6m": -0.04594165762881697, "bench_c_p6m": 0.00935374617383955, "price_path": [-0.4581, -0.448, -0.4476, -0.4404, -0.42, -0.4179, -0.4137, -0.4087, -0.42, -0.4278, -0.4231, -0.4251, -0.3235, -0.2593, -0.2603, -0.2862, -0.2889, -0.2891, -0.2928, -0.2834, -0.2839, -0.2628, -0.2426, -0.239, -0.221, -0.2101, -0.2187, -0.2114, -0.2051, -0.21, -0.1885, -0.2049, -0.199, -0.2482, -0.2408, -0.2575, -0.2522, -0.2522, -0.2552, -0.2441, -0.2411, -0.2483, -0.2543, -0.2418, -0.2336, -0.2126, -0.2039, -0.1881, -0.191, -0.1388, -0.1445, -0.1125, -0.088, -0.0845, -0.0537, -0.0401, -0.0401, -0.0272, -0.0285, -0.0639, -0.0557, -0.0557, -0.0288, 0.0, 0.0193, 0.0588, 0.1109, 0.0865, 0.0793, 0.1848, 0.2142, 0.1704, 0.1591, 0.1523, 0.1523, 0.2352, 0.2857, 0.2916, 0.275, 0.2596, 0.2797, 0.3115, 0.4465, 0.4685, 0.7607, 1.0023, 0.6584, 0.6906, 0.6886, 0.741, 0.748, 0.732, 0.8149, 0.8059, 0.8059, 0.9377, 1.0709, 1.0302, 1.0338, 0.8821, 0.8056, 0.758, 0.5327, 0.5078, 0.6786, 0.6828, 0.6918, 0.6355, 0.588, 0.3724, 0.4567, 0.4316, 0.2653, 0.2339, 0.0046, -0.0289, -0.1846, -0.0347, -0.0349, -0.0197, 0.1399, 0.2172, 0.1922, 0.1611, 0.1335, 0.1828, 0.087, 0.0259, 0.0835, 0.1653, 0.2312, 0.2389, 0.2934, 0.2934, 0.4694, 0.6024, 0.6474, 0.6822, 0.7017, 0.6847, 0.5501, 0.6526, 0.5928, 0.6369, 0.803, 0.7361, 0.807, 0.7649, 0.5831, 0.7182, 0.7341, 0.7665, 0.7608, 0.8497, 0.8313, 0.8271, 0.7854, 0.8133, 0.804, 0.8366, 0.8239, 0.841, 0.8681, 0.8439, 0.8439, 0.8484, 0.8515, 0.8189, 0.8848, 1.0273, 0.9899, 0.9931, 0.9512, 0.9992, 1.1442, 1.1234, 1.3138, 1.196, 1.1112, 1.2367, 1.2169, 1.2388, 1.2662, 1.2593, 1.2445, 1.2613, 1.1689, 1.2256, 1.1664, 1.2784]}
{"unit_id": "quote:883828406584061952", "ticker_idx": 0, "ts": "2017-07-08T23:21:27+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": false, "explicit_audit": "flipped_to_implicit", "polarity_reversed": false, "quote": "Agree. #BTC is the sleeper!", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Cathie Wood endorses bullish BTC view, calling it a sleeper with upside ahead.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Agree. #BTC is the sleeper! https://t.co/LEqJg2kavT", "reply_text": null, "parent_text": null, "quoted_text": "@NeerajKA yup, but the key is continued ridicule. which BTC definitely has.", "parent_author": null, "ret_m1d": 0.06157899058716376, "ret_signed_m1d": 0.06157899058716376, "alpha_spy_m1d": 0.06265162171678895, "alpha_c_m1d": null, "bench_spy_m1d": -0.00107263112962519, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.014655064012102925, "ret_signed_p1d": -0.014655064012102925, "alpha_spy_p1d": -0.013912473230054734, "alpha_c_p1d": null, "bench_spy_p1d": -0.0007425907820481914, "bench_c_p1d": null, "ret_p1w": -0.060757217066958025, "ret_signed_p1w": -0.060757217066958025, "alpha_spy_p1w": -0.07379525580652768, "alpha_c_p1w": null, "bench_spy_p1w": 0.013038038739569657, "bench_c_p1w": null, "ret_p1m": 0.44145558255469286, "ret_signed_p1m": 0.44145558255469286, "alpha_spy_p1m": 0.4212796987936316, "alpha_c_p1m": null, "bench_spy_p1m": 0.020175883761061275, "bench_c_p1m": null, "ret_p3m": 0.8243627344951217, "ret_signed_p3m": 0.8243627344951217, "alpha_spy_p3m": 0.7684404032195793, "alpha_c_p3m": null, "bench_spy_p3m": 0.05592233127554236, "bench_c_p3m": null, "ret_p6m": 5.314739875649387, "ret_signed_p6m": 5.314739875649387, "alpha_spy_p6m": 5.194615737706394, "alpha_c_p6m": null, "bench_spy_p6m": 0.12012413794299315, "bench_c_p6m": null, "price_path": [-0.4941, -0.5072, -0.5079, -0.4968, -0.4893, -0.4899, -0.482, -0.4849, -0.4731, -0.4666, -0.46, -0.4446, -0.4451, -0.4008, -0.3877, -0.3719, -0.3519, -0.3444, -0.2736, -0.2601, -0.2468, -0.2209, -0.2733, -0.2673, -0.269, -0.2248, -0.204, -0.1622, -0.0839, -0.022, 0.03, -0.0285, -0.0717, -0.0493, -0.0831, -0.0363, 0.0149, 0.0489, 0.1325, 0.2068, 0.1516, 0.1825, 0.1902, 0.121, 0.1452, 0.0564, 0.0388, 0.0615, 0.0915, 0.1472, 0.1334, 0.1403, 0.1569, 0.0446, 0.0758, 0.0852, 0.0703, 0.0456, 0.0807, 0.0966, 0.0967, 0.0995, 0.0616, 0.0, -0.0147, 0.0111, -0.0062, -0.0587, -0.0608, -0.0226, -0.0418, 0.1876, 0.1244, 0.1611, 0.0859, 0.0661, 0.1261, 0.184, 0.2119, 0.1457, 0.1425, 0.1822, 0.2206, 0.4242, 0.4415, 0.4088, 0.4252, 0.5387, 0.823, 0.7626, 0.8447, 0.8257, 0.7536, 0.6867, 0.7283, 0.7498, 0.827, 0.8426, 0.8472, 0.93, 0.9242, 0.9824, 1.0619, 0.7855, 0.8446, 0.9376, 0.9388, 0.7824, 0.7539, 0.7411, 0.6365, 0.3298, 0.5332, 0.7134, 0.6543, 0.6463, 0.5304, 0.5303, 0.6548, 0.6406, 0.7705, 0.7596, 0.7547, 0.8585, 0.8198, 0.7826, 0.8244, 0.8422, 1.0113, 1.0155, 1.0343, 1.2958, 1.3802, 1.4133, 1.3626, 1.3564, 1.4061, 1.5337, 1.4995, 1.3294, 1.4239, 1.4888, 1.4366, 1.5839, 1.7263, 1.8523, 1.9835, 2.038, 1.96, 2.0113, 2.1442, 2.0109, 1.7895, 1.7647, 1.7969, 2.0834, 2.3178, 2.2492, 2.4565, 2.4019, 2.4788, 2.3882, 2.4788, 3.1383, 3.2396, 3.1679, 3.3133, 3.6261, 3.9133, 4.0227, 5.0237, 6.5445, 5.9838, 6.1386, 6.3403, 5.9158, 5.9815, 6.4632, 7.0564, 6.4926, 6.007, 5.6607, 4.8299, 4.912, 5.7858, 5.6757, 5.1564, 5.1774, 4.7563, 5.3147]}
{"unit_id": "quote:832612275072679936", "ticker_idx": 0, "ts": "2017-02-17T15:26:50+00:00", "symbol": "IBM", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Finally, a needle mover for $IBM.", "tweet_type": "news_reaction", "timeline": "unspecified", "summary": "Author views Watson for Oncology US hospital deployment as a meaningful positive catalyst for IBM.", "resolved_tickers": ["IBM"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLK", "bench_c_reason": "industry='Information Technology Services'", "bench_c_industry": "Information Technology Services", "unit_kind": "quote", "lang": "en", "tweet_text": "Finally, a needle mover for $IBM. https://t.co/giX66iDMFR", "reply_text": null, "parent_text": null, "quoted_text": "IBM Watson for Oncology officially deployed in the first US hospital after multi-year trial. https://t.co/jH10bdclr8", "parent_author": null, "ret_m1d": 0.004206933989307604, "ret_signed_m1d": 0.004206933989307604, "alpha_spy_m1d": 0.005780759722482265, "alpha_c_m1d": 0.007656268788597487, "bench_spy_m1d": -0.0015738257331746608, "bench_c_m1d": -0.0034493347992898826, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0, "ret_signed_p1d": 0.0, "alpha_spy_p1d": 0.0, "alpha_c_p1d": 0.0, "bench_spy_p1d": 0.0, "bench_c_p1d": 0.0, "ret_p1w": 0.003763751205804411, "ret_signed_p1w": 0.003763751205804411, "alpha_spy_p1w": -0.003255203339387114, "alpha_c_p1w": -0.004666598019241075, "bench_spy_p1w": 0.007018954545191525, "bench_c_p1w": 0.008430349225045486, "ret_p1m": -0.0275083952630647, "ret_signed_p1m": -0.0275083952630647, "alpha_spy_p1m": -0.03903615191825771, "alpha_c_p1m": -0.054441366830095705, "bench_spy_p1m": 0.011527756655193011, "bench_c_p1m": 0.026932971567031005, "ret_p3m": -0.15644855800145685, "ret_signed_p3m": -0.15644855800145685, "alpha_spy_p3m": -0.1639178214141771, "alpha_c_p3m": -0.2066552117213244, "bench_spy_p3m": 0.007469263412720251, "bench_c_p3m": 0.050206653719867544, "ret_p6m": -0.19616576592507062, "ret_signed_p6m": -0.19616576592507062, "alpha_spy_p6m": -0.25456924733133635, "alpha_c_p6m": -0.3164581809989917, "bench_spy_p6m": 0.05840348140626572, "bench_c_p6m": 0.12029241507392108, "price_path": [-0.1067, -0.1105, -0.1105, -0.1041, -0.0965, -0.102, -0.1092, -0.1223, -0.1212, -0.1222, -0.1194, -0.0951, -0.0919, -0.0855, -0.0912, -0.0758, -0.0746, -0.0773, -0.0844, -0.0847, -0.0796, -0.0811, -0.0826, -0.0845, -0.0845, -0.0821, -0.0874, -0.0851, -0.0885, -0.0885, -0.0819, -0.0705, -0.0736, -0.069, -0.0793, -0.091, -0.0788, -0.0777, -0.081, -0.081, -0.078, -0.084, -0.084, -0.0634, -0.0608, -0.034, -0.0209, -0.0189, -0.0264, -0.0346, -0.0416, -0.0429, -0.0413, -0.0345, -0.0343, -0.02, -0.0249, -0.0192, -0.011, -0.0073, -0.003, 0.0056, 0.0042, 0.0, 0.0, -0.0023, 0.0027, 0.0054, 0.0038, -0.007, -0.0047, 0.0071, -0.0008, -0.0034, -0.0011, -0.0016, -0.0068, -0.0193, -0.0157, -0.0233, -0.0274, -0.0269, -0.019, -0.0278, -0.0275, -0.0376, -0.0326, -0.0324, -0.0379, -0.0382, -0.0341, -0.0373, -0.0377, -0.0361, -0.0342, -0.034, -0.0431, -0.0455, -0.0472, -0.0524, -0.0558, -0.0554, -0.0617, -0.0617, -0.053, -0.0588, -0.1051, -0.1017, -0.1123, -0.1103, -0.1122, -0.1141, -0.1126, -0.1128, -0.1208, -0.1194, -0.122, -0.1197, -0.1418, -0.1447, -0.1499, -0.1547, -0.158, -0.1596, -0.1532, -0.1411, -0.1564, -0.1573, -0.1506, -0.1469, -0.1503, -0.1476, -0.1438, -0.1477, -0.1477, -0.152, -0.1469, -0.1467, -0.1502, -0.1482, -0.1484, -0.1562, -0.1499, -0.1387, -0.1327, -0.1379, -0.1404, -0.1381, -0.1316, -0.1346, -0.134, -0.1405, -0.1371, -0.1387, -0.1324, -0.1351, -0.1319, -0.1386, -0.1402, -0.1305, -0.1305, -0.1411, -0.1485, -0.1452, -0.1425, -0.1438, -0.141, -0.1414, -0.1379, -0.1448, -0.1393, -0.1755, -0.1747, -0.178, -0.1841, -0.1829, -0.1876, -0.1892, -0.1936, -0.1914, -0.1879, -0.1927, -0.1899, -0.1887, -0.1981, -0.1974, -0.1993, -0.1989, -0.1989, -0.1962]}
{"unit_id": "thread:1784715540369375338", "ticker_idx": 0, "ts": "2024-04-28T22:45:17+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "If the #CyberCab robotaxi network scales as we believe it will, then #Tesla's gross margin (GM) should increase dramatically... its robotaxi margins should be SaaS-like, in the 70-85% range", "tweet_type": "analysis", "timeline": "years", "summary": "Long TSLA on CyberCab network scaling to SaaS-like 70-85% margins + doubling down on low-cost EVs; GM and F sacrificing long-term for short-term shareholder demands.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "self_thread", "lang": "en", "tweet_text": "Yes, at a time when many companies are bowing to short-term oriented shareholders who are demanding profits, dividends, and share repurchases NOW, #Tesla's increased investment in the largest #AI project on Earth is separating it from the auto and tech packs.\n\n---\n\nShareholders have rewarded $GM and $F in the short term for cutting investments in #EVs and robotaxis. In its earnings call last week, @elonmusk suggested that a US OEM might sign on to #Tesla's autonomous—or robotaxi—network, possibly this year, boosting our robotaxi forecast!\n\n---\n\nIf the #CyberCab robotaxi network scales as we believe it will, then #Tesla's gross margin (GM) should increase dramatically. While its GMs are likely to increase from 15-16% now to 25-35% as EVs gain share, its robotaxi margins should be SaaS-like, in the 70-85% range.\n\n---\n\nThe @WSJ suggested that #Tesla finally is heeding shareholder demands for less investment and more cash. @TashaARK and @skorusARK believe that @elonmusk is using cost savings from \"unboxed\" manufacturing to double down on low cost cars and the CyberCab network. Doubling down!\n\n---\n\nInvestor time horizons have collapsed from years to quarters in the risk-off environment that the Fed has engineered during the past three years. According to Morningstar, US active large cap growth managers have raised their exposure to the Mag 6 to 45% on average. What?\n\n---\n\nInvestors have piled into cash-rich megacap innovation stocks, a crowded trade, and are neglecting pure plays in disruptive innovation that are not in the broad based benchmarks. We believe this crowded trade will lead to subpar returns relative to those from small to large cap stocks that are not in broad based benchmarks.\n\n---\n\n$TSLA did earn a place in broad based benchmarks and is in the Mag 7, but investors and journalists have shifted their attention to the Mag 6 in a tough macro environment, perhaps in response to @elonmusk's bold vision and willingness to invest aggressively in the new world.\n\n---\n\nMore evidence of fear in the equity markets is in the Depression-era-like concentration of stocks, suggesting a record-breaking flight to \"safety\", as shown in the chart below. https://t.co/b2G8OW2CtR", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.1327493396573366, "ret_signed_m1d": -0.1327493396573366, "alpha_spy_m1d": -0.1292202850182772, "alpha_c_m1d": -0.11002707441135062, "bench_spy_m1d": -0.0035290546390593924, "bench_c_m1d": -0.022722265245985973, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.05550118063944742, "ret_signed_p1d": -0.05550118063944742, "alpha_spy_p1d": -0.039659842601770245, "alpha_c_p1d": -0.031167822940028844, "bench_spy_p1d": -0.015841338037677177, "bench_c_p1d": -0.02433335769941858, "ret_p1w": -0.04787430249328062, "ret_signed_p1w": -0.04787430249328062, "alpha_spy_p1w": -0.06063747775011041, "alpha_c_p1w": -0.04681877402392365, "bench_spy_p1w": 0.012763175256829795, "bench_c_p1w": -0.00105552846935697, "ret_p1m": -0.08915229466470809, "ret_signed_p1m": -0.08915229466470809, "alpha_spy_p1m": -0.12787328416794308, "alpha_c_p1m": -0.061985776148437144, "bench_spy_p1m": 0.03872098950323499, "bench_c_p1m": -0.027166518516270943, "ret_p3m": 0.13501673041073858, "ret_signed_p3m": 0.13501673041073858, "alpha_spy_p3m": 0.07602969326054665, "alpha_c_p3m": 0.12958073724335661, "bench_spy_p3m": 0.058987037150191934, "bench_c_p3m": 0.0054359931673819695, "ret_p6m": 0.12326718780089507, "ret_signed_p6m": 0.12326718780089507, "alpha_spy_p6m": -0.027571368705317623, "alpha_c_p6m": 0.02331265008874639, "bench_spy_p6m": 0.1508385565062127, "bench_c_p6m": 0.09995453771214868, "price_path": [-0.0348, -0.0267, -0.0316, -0.0669, -0.0461, -0.0333, -0.0231, -0.0025, -0.0305, -0.0517, -0.0275, 0.033, 0.0304, 0.0304, -0.0015, 0.0037, 0.0173, -0.0107, 0.0276, 0.0293, 0.0412, 0.0404, 0.0443, -0.0305, -0.0686, -0.0902, -0.0794, -0.0964, -0.0839, -0.0851, -0.1266, -0.1626, -0.1571, -0.1044, -0.1171, -0.0948, -0.1094, -0.1197, -0.1104, -0.0844, -0.0733, -0.0941, -0.0941, -0.097, -0.1413, -0.1323, -0.1182, -0.1502, -0.1086, -0.0885, -0.1149, -0.1002, -0.1185, -0.1678, -0.1904, -0.1989, -0.2274, -0.2422, -0.268, -0.2544, -0.1645, -0.123, -0.1327, 0.0, -0.0555, -0.0725, -0.0724, -0.0663, -0.0479, -0.0837, -0.0996, -0.1138, -0.1318, -0.1142, -0.085, -0.1034, -0.099, -0.0855, -0.0984, -0.0384, -0.0718, -0.1047, -0.0763, -0.0763, -0.0892, -0.092, -0.0786, -0.0823, -0.0915, -0.0994, -0.0982, -0.083, -0.0854, -0.1044, -0.1205, -0.0864, -0.0597, -0.0827, -0.0341, -0.0474, -0.0474, -0.0643, -0.0569, -0.0591, -0.0345, 0.012, 0.0174, 0.0197, 0.0815, 0.1918, 0.2697, 0.2697, 0.2962, 0.3035, 0.3519, 0.3567, 0.2421, 0.2792, 0.3019, 0.3221, 0.2806, 0.2844, 0.2327, 0.2961, 0.2697, 0.1131, 0.135, 0.1327, 0.1961, 0.1472, 0.1959, 0.1175, 0.0702, 0.0249, 0.034, -0.0118, 0.0247, 0.0307, 0.0177, 0.071, 0.0378, 0.1035, 0.1137, 0.1477, 0.1394, 0.1506, 0.0856, 0.1354, 0.0987, 0.0781, 0.0603, 0.063, 0.1034, 0.1034, 0.0853, 0.1307, 0.1861, 0.086, 0.1145, 0.1655, 0.1756, 0.1843, 0.1868, 0.1687, 0.1743, 0.1708, 0.257, 0.2278, 0.2883, 0.3103, 0.3245, 0.3101, 0.3422, 0.3483, 0.3297, 0.2833, 0.2402, 0.2887, 0.2411, 0.26, 0.2422, 0.2305, 0.1224, 0.1294, 0.1315, 0.1406, 0.1383, 0.1373, 0.1278, 0.1233]}
{"unit_id": "thread:1784715540369375338", "ticker_idx": 1, "ts": "2024-04-28T22:45:17+00:00", "symbol": "GM", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Shareholders have rewarded $GM and $F in the short term for cutting investments in #EVs and robotaxis", "tweet_type": "analysis", "timeline": "years", "summary": "Long TSLA on CyberCab network scaling to SaaS-like 70-85% margins + doubling down on low-cost EVs; GM and F sacrificing long-term for short-term shareholder demands.", "resolved_tickers": ["GM"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "self_thread", "lang": "en", "tweet_text": "Yes, at a time when many companies are bowing to short-term oriented shareholders who are demanding profits, dividends, and share repurchases NOW, #Tesla's increased investment in the largest #AI project on Earth is separating it from the auto and tech packs.\n\n---\n\nShareholders have rewarded $GM and $F in the short term for cutting investments in #EVs and robotaxis. In its earnings call last week, @elonmusk suggested that a US OEM might sign on to #Tesla's autonomous—or robotaxi—network, possibly this year, boosting our robotaxi forecast!\n\n---\n\nIf the #CyberCab robotaxi network scales as we believe it will, then #Tesla's gross margin (GM) should increase dramatically. While its GMs are likely to increase from 15-16% now to 25-35% as EVs gain share, its robotaxi margins should be SaaS-like, in the 70-85% range.\n\n---\n\nThe @WSJ suggested that #Tesla finally is heeding shareholder demands for less investment and more cash. @TashaARK and @skorusARK believe that @elonmusk is using cost savings from \"unboxed\" manufacturing to double down on low cost cars and the CyberCab network. Doubling down!\n\n---\n\nInvestor time horizons have collapsed from years to quarters in the risk-off environment that the Fed has engineered during the past three years. According to Morningstar, US active large cap growth managers have raised their exposure to the Mag 6 to 45% on average. What?\n\n---\n\nInvestors have piled into cash-rich megacap innovation stocks, a crowded trade, and are neglecting pure plays in disruptive innovation that are not in the broad based benchmarks. We believe this crowded trade will lead to subpar returns relative to those from small to large cap stocks that are not in broad based benchmarks.\n\n---\n\n$TSLA did earn a place in broad based benchmarks and is in the Mag 7, but investors and journalists have shifted their attention to the Mag 6 in a tough macro environment, perhaps in response to @elonmusk's bold vision and willingness to invest aggressively in the new world.\n\n---\n\nMore evidence of fear in the equity markets is in the Depression-era-like concentration of stocks, suggesting a record-breaking flight to \"safety\", as shown in the chart below. https://t.co/b2G8OW2CtR", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.004344283747301669, "ret_signed_m1d": 0.004344283747301669, "alpha_spy_m1d": 0.0008152291082422769, "alpha_c_m1d": -0.018377981498684304, "bench_spy_m1d": -0.0035290546390593924, "bench_c_m1d": -0.022722265245985973, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.032797731920557016, "ret_signed_p1d": 0.032797731920557016, "alpha_spy_p1d": 0.01695639388287984, "alpha_c_p1d": 0.008464374221138438, "bench_spy_p1d": -0.015841338037677177, "bench_c_p1d": -0.02433335769941858, "ret_p1w": -0.021286068941824388, "ret_signed_p1w": 0.021286068941824388, "alpha_spy_p1w": 0.03404924419865418, "alpha_c_p1w": 0.020230540472467418, "bench_spy_p1w": 0.012763175256829795, "bench_c_p1w": -0.00105552846935697, "ret_p1m": -0.0640748673155267, "ret_signed_p1m": 0.0640748673155267, "alpha_spy_p1m": 0.10279585681876169, "alpha_c_p1m": 0.03690834879925575, "bench_spy_p1m": 0.03872098950323499, "bench_c_p1m": -0.027166518516270943, "ret_p3m": -0.03895729751077981, "ret_signed_p3m": 0.03895729751077981, "alpha_spy_p3m": 0.09794433466097174, "alpha_c_p3m": 0.04439329067816178, "bench_spy_p3m": 0.058987037150191934, "bench_c_p3m": 0.0054359931673819695, "ret_p6m": 0.17303040990169727, "ret_signed_p6m": -0.17303040990169727, "alpha_spy_p6m": -0.022191853395484573, "alpha_c_p6m": -0.07307587218954859, "bench_spy_p6m": 0.1508385565062127, "bench_c_p6m": 0.09995453771214868, "price_path": [-0.1597, -0.1582, -0.1574, -0.1816, -0.1764, -0.1615, -0.163, -0.1649, -0.1493, -0.1704, -0.1691, -0.1556, -0.1619, -0.1619, -0.1552, -0.1448, -0.148, -0.1418, -0.1383, -0.1299, -0.1201, -0.1099, -0.1097, -0.111, -0.1171, -0.1279, -0.1453, -0.1421, -0.1414, -0.1483, -0.1255, -0.1447, -0.1162, -0.1134, -0.0984, -0.0693, -0.0569, -0.0647, -0.0541, -0.0443, -0.0315, -0.015, -0.015, -0.0139, -0.025, -0.0189, -0.0513, -0.0393, -0.0369, -0.0285, -0.0456, -0.0478, -0.0643, -0.0728, -0.0734, -0.0778, -0.0782, -0.0797, -0.0615, -0.0204, -0.0209, -0.0091, -0.0043, 0.0, -0.0328, -0.0341, -0.0298, -0.0256, -0.0213, -0.0165, -0.0215, -0.0148, -0.018, -0.0189, -0.0219, -0.0119, -0.0037, -0.0061, -0.0202, -0.0243, -0.045, -0.0502, -0.0419, -0.0419, -0.0641, -0.0738, -0.0571, -0.0228, -0.0065, -0.0169, -0.0091, -0.0093, -0.0043, 0.036, 0.0499, 0.0641, 0.0377, 0.0185, 0.0323, 0.0331, 0.0331, 0.0403, 0.0392, 0.0477, 0.0107, -0.0032, -0.0074, 0.0118, 0.0166, 0.0225, 0.0172, 0.0172, 0.0131, 0.0137, 0.0074, 0.0133, 0.0438, 0.0673, 0.0736, 0.0839, 0.0867, 0.0813, 0.0519, 0.0793, 0.01, 0.0124, -0.039, -0.0392, -0.0385, -0.0368, -0.0348, -0.0555, -0.1034, -0.13, -0.1156, -0.1147, -0.0694, -0.0531, -0.0638, -0.0566, -0.0503, -0.0231, -0.013, -0.0035, 0.0013, 0.014, 0.0118, 0.0577, 0.0617, 0.0725, 0.0682, 0.0773, 0.0841, 0.0841, 0.0543, 0.0551, 0.0486, 0.0292, 0.0348, -0.0215, -0.0248, 0.0069, 0.0108, 0.0233, 0.0375, 0.0623, 0.0615, 0.0671, 0.0488, 0.0495, -0.0016, 0.0001, 0.0147, -0.0211, -0.0202, -0.0215, -0.018, -0.0027, 0.0038, 0.0045, 0.0464, 0.0412, 0.0451, 0.0617, 0.0447, 0.07, 0.0781, 0.0737, 0.0682, 0.173]}
{"unit_id": "thread:1784715540369375338", "ticker_idx": 2, "ts": "2024-04-28T22:45:17+00:00", "symbol": "F", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": false, "explicit_audit": "flipped_to_implicit", "polarity_reversed": false, "quote": "Shareholders have rewarded $GM and $F in the short term for cutting investments in #EVs and robotaxis", "tweet_type": "analysis", "timeline": "years", "summary": "Long TSLA on CyberCab network scaling to SaaS-like 70-85% margins + doubling down on low-cost EVs; GM and F sacrificing long-term for short-term shareholder demands.", "resolved_tickers": ["F"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "self_thread", "lang": "en", "tweet_text": "Yes, at a time when many companies are bowing to short-term oriented shareholders who are demanding profits, dividends, and share repurchases NOW, #Tesla's increased investment in the largest #AI project on Earth is separating it from the auto and tech packs.\n\n---\n\nShareholders have rewarded $GM and $F in the short term for cutting investments in #EVs and robotaxis. In its earnings call last week, @elonmusk suggested that a US OEM might sign on to #Tesla's autonomous—or robotaxi—network, possibly this year, boosting our robotaxi forecast!\n\n---\n\nIf the #CyberCab robotaxi network scales as we believe it will, then #Tesla's gross margin (GM) should increase dramatically. While its GMs are likely to increase from 15-16% now to 25-35% as EVs gain share, its robotaxi margins should be SaaS-like, in the 70-85% range.\n\n---\n\nThe @WSJ suggested that #Tesla finally is heeding shareholder demands for less investment and more cash. @TashaARK and @skorusARK believe that @elonmusk is using cost savings from \"unboxed\" manufacturing to double down on low cost cars and the CyberCab network. Doubling down!\n\n---\n\nInvestor time horizons have collapsed from years to quarters in the risk-off environment that the Fed has engineered during the past three years. According to Morningstar, US active large cap growth managers have raised their exposure to the Mag 6 to 45% on average. What?\n\n---\n\nInvestors have piled into cash-rich megacap innovation stocks, a crowded trade, and are neglecting pure plays in disruptive innovation that are not in the broad based benchmarks. We believe this crowded trade will lead to subpar returns relative to those from small to large cap stocks that are not in broad based benchmarks.\n\n---\n\n$TSLA did earn a place in broad based benchmarks and is in the Mag 7, but investors and journalists have shifted their attention to the Mag 6 in a tough macro environment, perhaps in response to @elonmusk's bold vision and willingness to invest aggressively in the new world.\n\n---\n\nMore evidence of fear in the equity markets is in the Depression-era-like concentration of stocks, suggesting a record-breaking flight to \"safety\", as shown in the chart below. https://t.co/b2G8OW2CtR", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.003137096649822313, "ret_signed_m1d": -0.003137096649822313, "alpha_spy_m1d": -0.006666151288881705, "alpha_c_m1d": -0.025859361895808286, "bench_spy_m1d": -0.0035290546390593924, "bench_c_m1d": -0.022722265245985973, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.047058934406706165, "ret_signed_p1d": 0.047058934406706165, "alpha_spy_p1d": 0.031217596369028988, "alpha_c_p1d": 0.022725576707287587, "bench_spy_p1d": -0.015841338037677177, "bench_c_p1d": -0.02433335769941858, "ret_p1w": -0.01960781793786981, "ret_signed_p1w": 0.01960781793786981, "alpha_spy_p1w": 0.032370993194699604, "alpha_c_p1w": 0.01855228946851284, "bench_spy_p1w": 0.012763175256829795, "bench_c_p1w": -0.00105552846935697, "ret_p1m": -0.0727952075204642, "ret_signed_p1m": 0.0727952075204642, "alpha_spy_p1m": 0.11151619702369919, "alpha_c_p1m": 0.04562868900419326, "bench_spy_p1m": 0.03872098950323499, "bench_c_p1m": -0.027166518516270943, "ret_p3m": -0.11407465287595042, "ret_signed_p3m": 0.11407465287595042, "alpha_spy_p3m": 0.17306169002614236, "alpha_c_p3m": 0.11951064604333239, "bench_spy_p3m": 0.058987037150191934, "bench_c_p3m": 0.0054359931673819695, "ret_p6m": -0.10430660011206672, "ret_signed_p6m": 0.10430660011206672, "alpha_spy_p6m": 0.2551451566182794, "alpha_c_p6m": 0.2042611378242154, "bench_spy_p6m": 0.1508385565062127, "bench_c_p6m": 0.09995453771214868, "price_path": [-0.1049, -0.0759, -0.0729, -0.1149, -0.0782, -0.0225, -0.0202, -0.0316, -0.0087, -0.0316, -0.0408, -0.018, -0.0353, -0.0353, -0.0392, -0.0478, -0.0494, -0.0478, -0.0627, -0.0588, -0.0353, -0.0243, -0.0235, -0.0008, -0.0133, -0.029, -0.0267, -0.0447, -0.0502, -0.0502, -0.0298, -0.0525, -0.0541, -0.0447, -0.0353, 0.0118, 0.0133, 0.0125, 0.0118, -0.0243, 0.0243, 0.0416, 0.0416, 0.0424, 0.0416, 0.0706, 0.0361, 0.0416, 0.0518, 0.062, 0.0243, 0.0227, -0.011, -0.0408, -0.0518, -0.0557, -0.0541, -0.0478, 0.0102, 0.0149, 0.0157, 0.0227, 0.0031, 0.0, -0.0471, -0.0431, -0.0204, -0.0251, -0.0196, -0.0339, -0.0355, -0.0371, -0.0482, -0.0212, -0.0125, -0.0228, -0.0172, -0.0252, -0.0355, -0.0355, -0.045, -0.0387, -0.0347, -0.0347, -0.0728, -0.0823, -0.0657, -0.0371, -0.0323, -0.045, -0.0418, -0.0418, -0.0355, -0.0172, -0.0387, -0.041, -0.0522, -0.0704, -0.0593, -0.0649, -0.0649, -0.0522, -0.0601, -0.0291, -0.0402, -0.0387, -0.0291, -0.0045, 0.0129, 0.0217, 0.0217, 0.0217, 0.0193, 0.0304, 0.0241, 0.0455, 0.0693, 0.1138, 0.1296, 0.1423, 0.1495, 0.155, 0.1098, 0.1209, 0.0979, 0.0852, -0.1141, -0.1117, -0.126, -0.1395, -0.1411, -0.1514, -0.2038, -0.2292, -0.2236, -0.2123, -0.1833, -0.1857, -0.2051, -0.1825, -0.1793, -0.1567, -0.1527, -0.1357, -0.139, -0.1253, -0.1196, -0.0914, -0.1043, -0.1019, -0.1099, -0.1043, -0.0979, -0.0979, -0.1148, -0.1172, -0.1317, -0.147, -0.1406, -0.168, -0.1575, -0.1438, -0.1382, -0.1293, -0.1212, -0.1148, -0.1196, -0.1228, -0.1204, -0.1237, -0.1599, -0.139, -0.1309, -0.1486, -0.1333, -0.1551, -0.1575, -0.1478, -0.1543, -0.1543, -0.1438, -0.139, -0.1357, -0.1196, -0.1261, -0.1108, -0.1075, -0.1051, -0.1228, -0.1043]}
{"unit_id": "quote:1001568722220302341", "ticker_idx": 0, "ts": "2018-05-29T20:59:26+00:00", "symbol": "AMZN", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Amazon is making advertising a priority", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Long AMZN on ad revenue ramp; short GOOG and FB as Amazon takes share in digital advertising.", "resolved_tickers": ["AMZN"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Internet Retail'", "bench_c_industry": "Internet Retail", "unit_kind": "quote", "lang": "en", "tweet_text": "#Facebook's advertising revenues were $40 billion, #Google's $95 billion, $AMZN's $2.8 billion.  Amazon is making advertising a priority, which also will make life a little more difficult at the margin for $GOOG and $FB. https://t.co/xC9kyTmhQe", "reply_text": null, "parent_text": null, "quoted_text": "$AMZN has called out advertising as a primary focus. At only $2.8 billion in 2017 Amazon's advertising revenue was a fraction of $GOOG's $95 billion and $FB's $$) billion. With a powerful search engine at the point-of-sale, #Amazon will take share in this highly profitable space. https://t.co/PLXT7IKqxq", "parent_author": null, "ret_m1d": -0.001686454391891079, "ret_signed_m1d": -0.001686454391891079, "alpha_spy_m1d": -0.013321246353769745, "alpha_c_m1d": -0.009473222118128177, "bench_spy_m1d": 0.011634791961878665, "bench_c_m1d": 0.007786767726237098, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.00745252767120097, "ret_signed_p1d": 0.00745252767120097, "alpha_spy_p1d": -0.005891966189449871, "alpha_c_p1d": -0.0016635871196384322, "bench_spy_p1d": 0.013344493860650841, "bench_c_p1d": 0.009116114790839402, "ret_p1w": 0.05175861545367799, "ret_signed_p1w": 0.05175861545367799, "alpha_spy_p1w": 0.02915822670943058, "alpha_c_p1w": 0.02279620915407432, "bench_spy_p1w": 0.022600388744247413, "bench_c_p1w": 0.02896240629960367, "ret_p1m": 0.029537360319504824, "ret_signed_p1m": 0.029537360319504824, "alpha_spy_p1m": 0.023814862197083286, "alpha_c_p1m": -0.001175326882863148, "bench_spy_p1m": 0.005722498122421538, "bench_c_p1m": 0.030712687202367972, "ret_p3m": 0.181366126448129, "ret_signed_p3m": 0.181366126448129, "alpha_spy_p3m": 0.10783623612591975, "alpha_c_p3m": 0.08753087962395867, "bench_spy_p3m": 0.07352989032220925, "bench_c_p3m": 0.09383524682417033, "ret_p6m": -0.059608017138902625, "ret_signed_p6m": -0.059608017138902625, "alpha_spy_p6m": -0.05364219281990312, "alpha_c_p6m": -0.03820748432095977, "bench_spy_p6m": -0.005965824318999502, "bench_c_p6m": -0.021400532817942852, "price_path": [-0.074, -0.0698, -0.0553, -0.0466, -0.0421, -0.0378, -0.0211, -0.009, -0.0153, -0.0136, -0.0189, -0.0255, -0.0421, -0.0163, -0.0192, -0.0421, -0.0727, -0.0353, -0.0718, -0.1125, -0.1026, -0.1026, -0.1493, -0.1369, -0.1254, -0.0999, -0.1287, -0.1282, -0.1095, -0.1152, -0.1019, -0.1129, -0.1063, -0.0676, -0.0527, -0.0347, -0.0529, -0.0589, -0.0947, -0.0947, -0.0588, -0.025, -0.029, -0.019, -0.0268, -0.0253, -0.0198, -0.0079, -0.0127, -0.003, -0.0023, -0.0062, -0.007, -0.0228, -0.0159, -0.0193, -0.0239, -0.017, -0.0195, -0.0068, -0.0061, -0.0017, -0.0017, 0.0, 0.0075, 0.0104, 0.0178, 0.0325, 0.0518, 0.0514, 0.0474, 0.0441, 0.0473, 0.0532, 0.057, 0.0688, 0.0639, 0.0688, 0.0756, 0.0851, 0.0728, 0.0637, 0.0312, 0.0485, 0.0295, 0.0549, 0.0539, 0.0626, 0.0503, 0.0503, 0.0539, 0.0606, 0.0782, 0.0807, 0.0881, 0.1139, 0.1241, 0.13, 0.1433, 0.1426, 0.1241, 0.1245, 0.1173, 0.1342, 0.1555, 0.121, 0.1267, 0.1031, 0.102, 0.1143, 0.1373, 0.1305, 0.1456, 0.1548, 0.1697, 0.1771, 0.1695, 0.1757, 0.1902, 0.1672, 0.1697, 0.167, 0.1636, 0.1677, 0.1811, 0.1798, 0.1814, 0.1952, 0.1984, 0.2388, 0.2415, 0.2479, 0.2479, 0.2645, 0.2368, 0.2142, 0.2103, 0.2022, 0.2321, 0.2338, 0.2337, 0.2215, 0.183, 0.2035, 0.1944, 0.2055, 0.1873, 0.1993, 0.2242, 0.2244, 0.2481, 0.2419, 0.2427, 0.2222, 0.2107, 0.1839, 0.1716, 0.156, 0.1596, 0.0883, 0.066, 0.109, 0.0918, 0.1284, 0.1357, 0.0979, 0.0937, 0.1094, 0.0966, 0.0318, 0.105, 0.0186, -0.0459, -0.0511, -0.0092, 0.0326, 0.0326, 0.0093, 0.0186, 0.0884, 0.0881, 0.0617, 0.0149, 0.0113, -0.0086, 0.0041, -0.0121, -0.0624, -0.0728, -0.0596]}
{"unit_id": "quote:1001568722220302341", "ticker_idx": 1, "ts": "2018-05-29T20:59:26+00:00", "symbol": "GOOG", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "which also will make life a little more difficult at the margin for $GOOG and $FB", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Long AMZN on ad revenue ramp; short GOOG and FB as Amazon takes share in digital advertising.", "resolved_tickers": ["GOOG"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLC", "bench_c_reason": "industry='Internet Content & Information'", "bench_c_industry": "Internet Content & Information", "unit_kind": "quote", "lang": "en", "tweet_text": "#Facebook's advertising revenues were $40 billion, #Google's $95 billion, $AMZN's $2.8 billion.  Amazon is making advertising a priority, which also will make life a little more difficult at the margin for $GOOG and $FB. https://t.co/xC9kyTmhQe", "reply_text": null, "parent_text": null, "quoted_text": "$AMZN has called out advertising as a primary focus. At only $2.8 billion in 2017 Amazon's advertising revenue was a fraction of $GOOG's $95 billion and $FB's $$) billion. With a powerful search engine at the point-of-sale, #Amazon will take share in this highly profitable space. https://t.co/PLXT7IKqxq", "parent_author": null, "ret_m1d": 0.014467318913676142, "ret_signed_m1d": -0.014467318913676142, "alpha_spy_m1d": -0.002832526951797476, "alpha_c_m1d": null, "bench_spy_m1d": 0.011634791961878665, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.007054438431719934, "ret_signed_p1d": -0.007054438431719934, "alpha_spy_p1d": 0.006290055428930907, "alpha_c_p1d": null, "bench_spy_p1d": 0.013344493860650841, "bench_c_p1d": null, "ret_p1w": 0.07482646464492593, "ret_signed_p1w": -0.07482646464492593, "alpha_spy_p1w": -0.052226075900678515, "alpha_c_p1w": null, "bench_spy_p1w": 0.022600388744247413, "bench_c_p1w": null, "ret_p1m": 0.04117629349446905, "ret_signed_p1m": -0.04117629349446905, "alpha_spy_p1m": -0.035453795372047514, "alpha_c_p1m": null, "bench_spy_p1m": 0.005722498122421538, "bench_c_p1m": null, "ret_p3m": 0.15120907995158395, "ret_signed_p3m": -0.15120907995158395, "alpha_spy_p3m": -0.0776791896293747, "alpha_c_p3m": null, "bench_spy_p3m": 0.07352989032220925, "bench_c_p3m": null, "ret_p6m": -0.021418018804242878, "ret_signed_p6m": 0.021418018804242878, "alpha_spy_p6m": 0.015452194485243376, "alpha_c_p6m": null, "bench_spy_p6m": -0.005965824318999502, "bench_c_p6m": null, "price_path": [0.0087, 0.0175, 0.0289, 0.0328, 0.0465, 0.0619, 0.094, 0.0983, 0.0734, 0.0841, 0.0842, 0.0711, 0.0373, 0.0353, 0.0288, -0.0106, -0.0365, -0.0067, -0.0521, -0.0526, -0.0269, -0.0269, -0.0508, -0.0442, -0.0332, -0.0307, -0.0502, -0.0423, -0.027, -0.0381, -0.0262, -0.0293, -0.0211, 0.0131, 0.0111, 0.0258, 0.0119, 0.0067, -0.038, -0.0369, -0.0191, -0.0285, -0.0405, -0.0217, -0.0339, -0.0345, -0.0114, -0.0052, -0.006, 0.0212, 0.0351, 0.0358, 0.0376, 0.0178, 0.0202, 0.0172, 0.0057, 0.0182, 0.0089, 0.0183, 0.0178, 0.0145, 0.0145, 0.0, 0.0071, 0.0233, 0.0558, 0.0745, 0.0748, 0.0722, 0.0599, 0.0571, 0.0657, 0.0745, 0.0702, 0.0866, 0.0867, 0.1067, 0.1016, 0.1033, 0.0918, 0.0897, 0.0608, 0.0548, 0.0412, 0.0508, 0.0522, 0.0633, 0.0401, 0.0401, 0.0603, 0.0753, 0.0884, 0.0873, 0.0883, 0.1162, 0.1212, 0.1165, 0.1306, 0.1278, 0.1194, 0.1175, 0.1369, 0.1771, 0.1918, 0.1962, 0.168, 0.1504, 0.148, 0.1506, 0.1564, 0.1541, 0.1551, 0.1716, 0.1747, 0.178, 0.1672, 0.1648, 0.1714, 0.1453, 0.1379, 0.1326, 0.1391, 0.1333, 0.1386, 0.1368, 0.1512, 0.1712, 0.1611, 0.1782, 0.1686, 0.1489, 0.1489, 0.1289, 0.119, 0.1048, 0.0986, 0.0984, 0.1104, 0.0967, 0.1085, 0.1058, 0.0903, 0.0952, 0.1045, 0.1194, 0.0998, 0.1066, 0.1173, 0.1133, 0.1267, 0.1256, 0.1273, 0.1318, 0.1345, 0.1017, 0.0915, 0.0836, 0.074, 0.0197, 0.0179, 0.0469, 0.0301, 0.0575, 0.0522, 0.0261, 0.0341, 0.0385, 0.0409, -0.0091, 0.0332, 0.0105, -0.038, -0.0227, 0.0155, 0.0091, -0.0024, -0.0191, -0.0043, 0.0312, 0.0208, 0.0055, -0.0205, -0.0229, -0.0157, 0.0041, 0.0011, -0.038, -0.0326, -0.0214]}
{"unit_id": "quote:1024783810427273216", "ticker_idx": 0, "ts": "2018-08-01T22:27:54+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Great for $TSLA in China", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Sensor-based approach in China obviates LiDAR need, bullish for TSLA in China.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "In China, sensors will obviate the need for #LiDAR. Great for $TSLA in China", "reply_text": null, "parent_text": null, "quoted_text": "This is pretty interesting - from $BIDU call last night: https://t.co/Af43wwnZ39 https://t.co/wmIx4k4FIw", "parent_author": null, "ret_m1d": -0.0089748856884182, "ret_signed_m1d": -0.0089748856884182, "alpha_spy_m1d": -0.01064791283687172, "alpha_c_m1d": -0.013942576448462862, "bench_spy_m1d": 0.0016730271484535209, "bench_c_m1d": 0.004967690760044663, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.1618801307070199, "ret_signed_p1d": 0.1618801307070199, "alpha_spy_p1d": 0.15643273962255622, "alpha_c_p1d": 0.1550159982028243, "bench_spy_p1d": 0.005447391084463682, "bench_c_p1d": 0.006864132504195597, "ret_p1w": 0.23101980766743502, "ret_signed_p1w": 0.23101980766743502, "alpha_spy_p1w": 0.2146415237128334, "alpha_c_p1w": 0.20816926100039157, "bench_spy_p1w": 0.016378283954601613, "bench_c_p1w": 0.022850546667043448, "ret_p1m": 0.007678466817306884, "ret_signed_p1m": 0.007678466817306884, "alpha_spy_p1m": -0.025932210982390957, "alpha_c_p1m": -0.04443521820749452, "bench_spy_p1m": 0.03361067779969784, "bench_c_p1m": 0.052113685024801404, "ret_p3m": 0.11305016015033598, "ret_signed_p3m": 0.11305016015033598, "alpha_spy_p3m": 0.1693259949853746, "alpha_c_p3m": 0.18452446427342217, "bench_spy_p3m": -0.05627583483503862, "bench_c_p3m": -0.0714743041230862, "ret_p6m": -0.0310131505869643, "ret_signed_p6m": -0.0310131505869643, "alpha_spy_p6m": 0.020866665410039564, "alpha_c_p6m": 0.006265115389491038, "bench_spy_p6m": -0.051879815997003864, "bench_c_p6m": -0.03727826597645534, "price_path": [-0.0224, 0.0064, 0.0038, 0.02, 0.0139, 0.0007, -0.0295, -0.0554, -0.0477, -0.0542, -0.0798, -0.0543, -0.0859, -0.0724, -0.0764, -0.0731, -0.0731, -0.0568, -0.0303, -0.0536, -0.03, -0.0136, -0.0323, 0.062, 0.0507, 0.0559, 0.1039, 0.1394, 0.1461, 0.1891, 0.1906, 0.2326, 0.1719, 0.204, 0.1551, 0.109, 0.1069, 0.1368, 0.1451, 0.1632, 0.14, 0.1138, 0.0333, 0.0333, 0.0277, 0.0268, 0.0587, 0.0719, 0.0602, 0.0528, 0.0599, 0.0308, 0.0726, 0.0765, 0.0645, 0.0423, 0.0078, -0.0113, 0.0263, 0.0193, -0.0122, -0.0355, -0.009, 0.0, 0.1619, 0.1573, 0.1368, 0.2617, 0.231, 0.1716, 0.1817, 0.1847, 0.1556, 0.1258, 0.115, 0.0155, 0.0253, 0.07, 0.0691, 0.064, 0.0731, 0.0613, 0.0366, 0.0139, 0.0077, 0.0027, 0.0027, -0.0395, -0.0668, -0.0661, -0.125, -0.051, -0.0711, -0.0342, -0.0378, -0.0187, -0.0199, -0.0528, -0.006, -0.0083, -0.0058, -0.0039, 0.0005, 0.0291, 0.0222, -0.1199, 0.0328, 0.0006, -0.0201, -0.0632, -0.1293, -0.1671, -0.1264, -0.1461, -0.1616, -0.1398, -0.1371, -0.0806, -0.0966, -0.1228, -0.1358, -0.1326, -0.0223, -0.041, 0.0466, 0.0999, 0.1131, 0.0966, 0.1213, 0.1444, 0.1515, 0.1348, 0.1337, 0.1573, 0.1681, 0.1651, 0.1012, 0.1259, 0.1435, 0.1582, 0.1777, 0.1749, 0.1551, 0.1242, 0.1242, 0.0831, 0.1501, 0.1432, 0.1563, 0.1341, 0.165, 0.1916, 0.1957, 0.1957, 0.2068, 0.1899, 0.2138, 0.2191, 0.2186, 0.2525, 0.2156, 0.1582, 0.1203, 0.1068, 0.0483, 0.0629, -0.0181, -0.0181, 0.0839, 0.0508, 0.1098, 0.1062, 0.1062, 0.0308, -0.0016, 0.056, 0.1134, 0.1147, 0.1253, 0.1467, 0.1543, 0.1116, 0.1449, 0.1503, 0.1545, 0.0047, 0.0047, -0.0064, -0.044, -0.031]}
{"unit_id": "quote:843935388926382081", "ticker_idx": 0, "ts": "2017-03-20T21:20:50+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Tesla is a leading contender", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish TSLA as a leading contender to win the autonomous taxi network game on data advantage.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "Data will win the #autonomous taxi network game!  #Tesla is a leading contender. https://t.co/ecYNrwz1v6", "reply_text": null, "parent_text": null, "quoted_text": "Tesla's global fleet reached 4B electric miles driven over the weekend https://t.co/QLcoYbdvWY $TSLA", "parent_author": null, "ret_m1d": -0.0016035361686430605, "ret_signed_m1d": -0.0016035361686430605, "alpha_spy_m1d": -0.002701688922018164, "alpha_c_m1d": -0.00401317818259983, "bench_spy_m1d": 0.0010981527533751034, "bench_c_m1d": 0.00240964201395677, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.04291381746799239, "ret_signed_p1d": -0.04291381746799239, "alpha_spy_p1d": -0.030074437841059565, "alpha_c_p1d": -0.030292056315836202, "bench_spy_p1d": -0.012839379626932823, "bench_c_p1d": -0.012621761152156186, "ret_p1w": 0.03168917352019984, "ret_signed_p1w": 0.03168917352019984, "alpha_spy_p1w": 0.044993201970501606, "alpha_c_p1w": 0.038803523352858305, "bench_spy_p1w": -0.013304028450301764, "bench_c_p1w": -0.007114349832658462, "ret_p1m": 0.1463424465090155, "ret_signed_p1m": 0.1463424465090155, "alpha_spy_p1m": 0.15859038734254283, "alpha_c_p1m": 0.142900182820054, "bench_spy_p1m": -0.012247940833527315, "bench_c_p1m": 0.0034422636889615, "ret_p3m": 0.43303308538600715, "ret_signed_p3m": 0.43303308538600715, "alpha_spy_p3m": 0.4034683547585818, "alpha_c_p3m": 0.39516694045428147, "bench_spy_p3m": 0.029564730627425373, "bench_c_p3m": 0.03786614493172569, "ret_p6m": 0.38496490407675044, "ret_signed_p6m": 0.38496490407675044, "alpha_spy_p6m": 0.3237261660694948, "alpha_c_p6m": 0.34865276478960205, "bench_spy_p6m": 0.061238738007255655, "bench_c_p6m": 0.03631213928714838, "price_path": [-0.207, -0.2041, -0.1855, -0.1855, -0.1618, -0.161, -0.1804, -0.1841, -0.1841, -0.1715, -0.1334, -0.1343, -0.1256, -0.117, -0.1224, -0.1229, -0.1234, -0.0923, -0.0923, -0.1006, -0.09, -0.0693, -0.0656, -0.0496, -0.0279, -0.0284, -0.0359, -0.0342, -0.0431, -0.0381, -0.0484, -0.0396, -0.0404, -0.0158, -0.017, 0.0006, 0.0278, 0.0279, 0.0713, 0.0728, 0.0681, 0.0268, 0.0394, 0.0394, 0.0591, 0.0443, -0.0226, -0.0188, -0.0599, -0.0455, -0.0454, -0.0437, -0.0395, -0.0409, -0.0509, -0.0575, -0.065, -0.0696, -0.0601, -0.015, -0.0236, 0.0005, -0.0016, 0.0, -0.0429, -0.0264, -0.0273, 0.0047, 0.0317, 0.0593, 0.059, 0.0611, 0.0625, 0.1397, 0.1595, 0.1263, 0.1404, 0.1551, 0.1927, 0.1786, 0.1333, 0.1607, 0.1607, 0.1509, 0.1463, 0.1665, 0.155, 0.1668, 0.176, 0.198, 0.1842, 0.1783, 0.1991, 0.2326, 0.2175, 0.1875, 0.1281, 0.1773, 0.1728, 0.2266, 0.2417, 0.2336, 0.2401, 0.206, 0.2103, 0.1687, 0.1953, 0.1867, 0.1849, 0.1601, 0.1844, 0.2096, 0.2414, 0.2414, 0.2794, 0.302, 0.2995, 0.2975, 0.3261, 0.3472, 0.3731, 0.4126, 0.3642, 0.3707, 0.4354, 0.4533, 0.433, 0.418, 0.4119, 0.4212, 0.4371, 0.4608, 0.464, 0.4412, 0.3835, 0.4174, 0.3773, 0.3806, 0.3463, 0.3463, 0.2488, 0.1791, 0.1959, 0.2067, 0.2493, 0.2581, 0.2348, 0.2515, 0.2201, 0.2532, 0.2418, 0.2596, 0.2538, 0.3077, 0.2966, 0.3128, 0.277, 0.2793, 0.235, 0.2201, 0.2442, 0.3252, 0.3627, 0.356, 0.3944, 0.3879, 0.3569, 0.3663, 0.389, 0.3834, 0.3856, 0.3436, 0.3266, 0.2899, 0.3033, 0.3469, 0.3475, 0.3288, 0.3197, 0.3262, 0.3484, 0.3588, 0.3569, 0.3569, 0.3347, 0.3154, 0.3386, 0.3111, 0.3886, 0.385]}
{"unit_id": "thread:1820660091831353608", "ticker_idx": 0, "ts": "2024-08-06T03:16:06+00:00", "symbol": "TLT", "kind": "etf", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": false, "explicit_audit": "kept_implicit_alias_present", "polarity_reversed": false, "quote": "the metals to gold ratio suggests that the 10-year Treasury bond yield should be around 2% today, not where it is at 3.8% or last October's 5%", "tweet_type": "analysis", "timeline": "unspecified", "summary": "10-yr Treasury yield should be ~2% vs current 3.8%; strongly bullish duration / long Treasuries.", "resolved_tickers": ["TLT"], "resolution_method": "etf", "resolution_reason": "TLT is iShares 20+ Year Treasury Bond ETF", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "self_thread", "lang": "en", "tweet_text": "After I recorded “ITK” on Friday, today the VIX (Equity Volatility Index) shot up to 65, the fourth highest level in the past 40 years: after “portfolio insurance” failed on Black Monday in October 1987, Lehman went under in 2008, and COVID hit in 2020. What does this move mean?\n\n---\n\nIn 1987 and 2020, the panic/cathartic moves in the VIX created significant buying opportunities, particularly for stocks trounced during those downturns. In 2008, however, after the VIX spiked, the broad based equity markets did not bottom for another six months in March, 2009.\n\n---\n\nIn our view, the spike in the VIX today stems from conditions resembling both 1987 and 2008. On Black Monday in 1987, portfolio insurance failed because those relying on it tried to cash out at the same time, much like those relying on the carry trade with Japan today.\n\n---\n\nFor the past three years, investors and speculators borrowing yen at di minimis interest rates have been betting on its continued depreciation and reinvesting in higher yielding US fixed income or perhaps, as we have learned recently, the Mag 6.\n\n---\n\nIn the last week, as US statistics like employment and the PMI have disappointed expectations and, at the same time, the Bank of Japan has raised interest rates more than expected, investors and speculators have faced margin calls forcing them to unwind the yen carry trade.\n\n---\n\nDelivering consistent returns over many years, the yen carry trade probably was leveraged and is hurting macro-oriented strategies disproportionately today. Like 1987 and unlike 2008, its impact could be limited.\n\n---\n\nUnlike 1987 and like 2008, broad based price deflation could be more relevant today. As illustrated in ARK’s ITK on Friday, the metals to gold ratio suggests that the 10-year Treasury bond yield should be around 2% today, not where it is at 3.8% or last October’s 5%.\n\n---\n\nIf the 10-year Treasury should yield ~2% today, should the Fed funds rate be closer to 1%? Perhaps, unless we revisit the early 1900s when the booms associated with telephone, electricity, and the ICE resulted in inverted yield curves more often than not. Lots to discuss!", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.02288060882521581, "ret_signed_m1d": 0.02288060882521581, "alpha_spy_m1d": 0.032016088735246084, "alpha_c_m1d": 0.032016088735246084, "bench_spy_m1d": -0.009135479910030275, "bench_c_m1d": -0.009135479910030275, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.007039741744382266, "ret_signed_p1d": -0.007039741744382266, "alpha_spy_p1d": -0.00035574639981594824, "alpha_c_p1d": -0.00035574639981594824, "bench_spy_p1d": -0.006683995344566318, "bench_c_p1d": -0.006683995344566318, "ret_p1w": 0.007143838603187014, "ret_signed_p1w": 0.007143838603187014, "alpha_spy_p1w": -0.030948519705271904, "alpha_c_p1w": -0.030948519705271904, "bench_spy_p1w": 0.03809235830845892, "bench_c_p1w": 0.03809235830845892, "ret_p1m": 0.028390586747652158, "ret_signed_p1m": 0.028390586747652158, "alpha_spy_p1m": -0.02676572731998439, "alpha_c_p1m": -0.02676572731998439, "bench_spy_p1m": 0.05515631406763655, "bench_c_p1m": 0.05515631406763655, "ret_p3m": -0.050224945474797944, "ret_signed_p3m": -0.050224945474797944, "alpha_spy_p3m": -0.1472112963511053, "alpha_c_p3m": -0.1472112963511053, "bench_spy_p3m": 0.09698635087630736, "bench_c_p3m": 0.09698635087630736, "ret_p6m": -0.07303067611761649, "ret_signed_p6m": -0.07303067611761649, "alpha_spy_p6m": -0.2330181513469105, "alpha_c_p6m": -0.2330181513469105, "bench_spy_p6m": 0.15998747522929402, "bench_c_p6m": 0.15998747522929402, "price_path": [-0.071, -0.0762, -0.0738, -0.0686, -0.0559, -0.0568, -0.0632, -0.0659, -0.0611, -0.06, -0.066, -0.0633, -0.0633, -0.0767, -0.0879, -0.0791, -0.0728, -0.0578, -0.0468, -0.0398, -0.0412, -0.0588, -0.0651, -0.0554, -0.0483, -0.0344, -0.0262, -0.0359, -0.0271, -0.0271, -0.0335, -0.0335, -0.0296, -0.028, -0.0419, -0.0381, -0.056, -0.0723, -0.065, -0.0527, -0.0527, -0.0449, -0.0428, -0.0471, -0.0441, -0.0348, -0.0307, -0.0418, -0.0283, -0.0281, -0.0355, -0.0412, -0.044, -0.0453, -0.0556, -0.0479, -0.0405, -0.0353, -0.0316, -0.0217, -0.0133, 0.0175, 0.0229, 0.0, -0.007, -0.0131, -0.0034, 0.0002, 0.0071, 0.0135, 0.0053, 0.0088, 0.0135, 0.0215, 0.0222, 0.012, 0.0186, 0.016, 0.0143, 0.013, 0.0097, -0.001, -0.001, 0.0153, 0.0284, 0.0342, 0.0341, 0.0386, 0.0458, 0.045, 0.0401, 0.0429, 0.0525, 0.0474, 0.0344, 0.031, 0.027, 0.0249, 0.0247, 0.0161, 0.0185, 0.0238, 0.0189, 0.0263, 0.0176, 0.0081, -0.0043, -0.0118, -0.0102, -0.0158, -0.0197, -0.0236, -0.0229, -0.011, -0.0068, -0.0226, -0.0218, -0.0389, -0.038, -0.0406, -0.0345, -0.0399, -0.0425, -0.041, -0.0382, -0.0366, -0.0502, -0.0355, -0.0304, -0.0569, -0.0451, -0.033, -0.0377, -0.0521, -0.0611, -0.0557, -0.0582, -0.0565, -0.0517, -0.0547, -0.0555, -0.0549, -0.0305, -0.0342, -0.0275, -0.0275, -0.0175, -0.0151, -0.0236, -0.0131, -0.0112, -0.0097, -0.0188, -0.0234, -0.0327, -0.0444, -0.0542, -0.0513, -0.049, -0.0609, -0.0751, -0.0699, -0.0784, -0.0745, -0.0745, -0.075, -0.0826, -0.0752, -0.0802, -0.0802, -0.0777, -0.0806, -0.0847, -0.095, -0.0939, -0.0939, -0.0999, -0.1002, -0.1017, -0.0862, -0.0832, -0.0817, -0.0817, -0.0735, -0.0783, -0.0855, -0.0814, -0.0705, -0.0711, -0.073]}
{"unit_id": "quote:1864531765940891688", "ticker_idx": 0, "ts": "2024-12-05T04:46:28+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "@dpuellARK's on-chain analytics have been pointing the way to higher price points", "tweet_type": "news_reaction", "timeline": "months", "summary": "Endorses on-chain analytics pointing to higher BTC price points; shares Bitcoin Cycles target range of 104k–124k.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Happy day for bitcoin at $100,000! @dpuellARK’s on-chain analytics have been pointing the way to higher price points. Check out his “Bitcoin Cycles” paper at https://t.co/4GzS1p8NNC!", "reply_text": null, "parent_text": null, "quoted_text": "Bitcoin breaking 100k...\n\nAbout a month ago in our \"Bitcoin Cycles\" piece, we flagged a potential price target range between 104k and 124k by year's end, based on the averaged performance multiple of all years sampled (2011-2023) and all halving years, respectively.\n\nThe lower https://t.co/VTujyZym1L", "parent_author": null, "ret_m1d": 0.022516622281002263, "ret_signed_m1d": 0.022516622281002263, "alpha_spy_m1d": 0.02086810429836139, "alpha_c_m1d": null, "bench_spy_m1d": 0.0016485179826408736, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.03444474217316973, "ret_signed_p1d": 0.03444474217316973, "alpha_spy_p1d": 0.032548900407955994, "alpha_c_p1d": null, "bench_spy_p1d": 0.001895841765213735, "bench_c_p1d": null, "ret_p1w": 0.03571075876313912, "ret_signed_p1w": 0.03571075876313912, "alpha_spy_p1w": 0.03955119016955222, "alpha_c_p1w": null, "bench_spy_p1w": -0.003840431406413103, "bench_c_p1w": null, "ret_p1m": 0.015672465259357837, "ret_signed_p1m": 0.015672465259357837, "alpha_spy_p1m": 0.03663579292865227, "alpha_c_p1m": null, "bench_spy_p1m": -0.02096332766929443, "bench_c_p1m": null, "ret_p3m": -0.09701862111196102, "ret_signed_p3m": -0.09701862111196102, "alpha_spy_p3m": -0.05109771228769422, "alpha_c_p3m": null, "bench_spy_p3m": -0.045920908824266804, "bench_c_p3m": null, "ret_p6m": 0.07666141727698128, "ret_signed_p6m": 0.07666141727698128, "alpha_spy_p6m": 0.09892629275278508, "alpha_c_p6m": null, "bench_spy_p6m": -0.022264875475803803, "bench_c_p6m": null, "price_path": [-0.4097, -0.4032, -0.4063, -0.3982, -0.3729, -0.3976, -0.3756, -0.3618, -0.3484, -0.3458, -0.3444, -0.3343, -0.3463, -0.3252, -0.3189, -0.3444, -0.3702, -0.3723, -0.371, -0.3574, -0.3557, -0.3568, -0.3728, -0.376, -0.3535, -0.3162, -0.3059, -0.3, -0.3022, -0.2917, -0.3026, -0.3026, -0.3123, -0.2944, -0.3101, -0.2763, -0.2471, -0.2511, -0.2731, -0.2807, -0.298, -0.2819, -0.2169, -0.2142, -0.2076, -0.0817, -0.0894, -0.0622, -0.0967, -0.0572, -0.0626, -0.044, -0.0233, 0.0198, 0.0249, -0.0361, -0.0477, -0.0065, -0.0097, 0.009, -0.0075, -0.0061, 0.0225, 0.0, 0.0344, 0.0087, 0.0008, 0.0474, 0.0357, 0.0504, 0.0977, 0.0988, 0.0357, 0.0093, 0.012, -0.0197, 0.0216, 0.028, -0.0083, -0.0251, -0.0409, -0.0328, -0.0225, 0.003, 0.0157, 0.0568, 0.0034, -0.016, -0.0425, -0.0196, -0.0215, -0.0006, 0.0405, 0.0327, 0.0815, 0.0561, 0.0989, 0.0731, 0.0763, 0.0852, 0.0569, 0.0491, 0.0736, 0.0843, 0.0602, 0.0498, 0.0132, 0.0002, -0.0, -0.0007, 0.0087, -0.0088, 0.0134, 0.0003, 0.0095, -0.0085, -0.0109, 0.0004, 0.018, -0.0048, -0.0536, -0.0813, -0.1268, -0.1231, -0.1265, -0.109, -0.097, -0.0618, -0.0687, -0.102, -0.187, -0.1422, -0.1333, -0.1607, -0.1307, -0.1296, -0.1436, -0.1008, -0.1286, -0.1299, -0.0942, -0.0944, -0.1003, -0.0975, -0.1267, -0.1454, -0.1183, -0.1461, -0.1397, -0.132, -0.1797, -0.2104, -0.1451, -0.1757, -0.1365, -0.1248, -0.1338, -0.13, -0.1211, -0.1257, -0.0939, -0.0326, -0.03, -0.0274, -0.0194, -0.0167, -0.0239, -0.0247, -0.001, 0.0033, -0.0191, 0.0022, 0.0045, 0.0688, 0.066, 0.0644, 0.0784, 0.0719, 0.074, 0.0714, 0.0933, 0.1056, 0.1355, 0.1561, 0.1107, 0.133, 0.1284, 0.116, 0.0937, 0.0767]}
{"unit_id": "quote:1257008578168262658", "ticker_idx": 0, "ts": "2020-05-03T18:06:13+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "TSLA's balance sheet looks like a fortress compared to those of many other auto manufacturers. What a difference a year makes!", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish TSLA on fortress balance sheet and disruptive market-share gains vs weakened auto peers.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "#Tesla: This is what truly disruptive innovation looks like!                      Oh, and TSLA’s balance sheet looks like a fortress compared to those of many other auto manufacturers. What a difference a year makes!", "reply_text": null, "parent_text": null, "quoted_text": "This is what gaining market share looks like. https://t.co/XxvoYCwqBK", "parent_author": null, "ret_m1d": -0.07865315758933922, "ret_signed_m1d": -0.07865315758933922, "alpha_spy_m1d": -0.07590285673859809, "alpha_c_m1d": -0.07324767354071582, "bench_spy_m1d": -0.0027503008507411275, "bench_c_m1d": -0.005405484048623399, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.009222447764407393, "ret_signed_p1d": 0.009222447764407393, "alpha_spy_p1d": -1.702708407269604e-05, "alpha_c_p1d": 0.005589244260157722, "bench_spy_p1d": 0.00923947484848009, "bench_c_p1d": 0.0036332035042496713, "ret_p1w": 0.0658180006117528, "ret_signed_p1w": 0.0658180006117528, "alpha_spy_p1w": 0.03432675147853903, "alpha_c_p1w": 0.029043605140251838, "bench_spy_p1w": 0.03149124913321377, "bench_c_p1w": 0.036774395471500965, "ret_p1m": 0.15813403820966765, "ret_signed_p1m": 0.15813403820966765, "alpha_spy_p1m": 0.07170046028156962, "alpha_c_p1m": 0.03770859719768205, "bench_spy_p1m": 0.08643357792809803, "bench_c_p1m": 0.1204254410119856, "ret_p3m": 0.9541639444870045, "ret_signed_p3m": 0.9541639444870045, "alpha_spy_p3m": 0.8067025346897192, "alpha_c_p3m": 0.7436414013510075, "bench_spy_p3m": 0.14746140979728528, "bench_c_p3m": 0.21052254313599694, "ret_p6m": 1.7895795150464653, "ret_signed_p6m": 1.7895795150464653, "alpha_spy_p6m": 1.5868136667773274, "alpha_c_p6m": 1.4546243117579665, "bench_spy_p6m": 0.2027658482691379, "bench_c_p6m": 0.3349552032884988, "price_path": [-0.0348, -0.0161, -0.0172, 0.0133, 0.0173, 0.008, 0.0562, 0.051, 0.051, 0.1277, 0.2052, 0.1816, 0.1837, 0.0954, 0.0509, 0.0231, -0.108, -0.1224, -0.0231, -0.0206, -0.0154, -0.0481, -0.0758, -0.2013, -0.1522, -0.1668, -0.2636, -0.2819, -0.4153, -0.4348, -0.5255, -0.4382, -0.4383, -0.4295, -0.3366, -0.2916, -0.3061, -0.3243, -0.3403, -0.3116, -0.3674, -0.4029, -0.3694, -0.3218, -0.2834, -0.279, -0.2472, -0.2472, -0.1448, -0.0674, -0.0412, -0.021, -0.0096, -0.0195, -0.0978, -0.0382, -0.073, -0.0473, 0.0493, 0.0104, 0.0517, 0.0272, -0.0787, 0.0, 0.0092, 0.0281, 0.0248, 0.0765, 0.0658, 0.0633, 0.0391, 0.0554, 0.0499, 0.0689, 0.0615, 0.0714, 0.0872, 0.0732, 0.0732, 0.0758, 0.0776, 0.0586, 0.097, 0.1799, 0.1581, 0.16, 0.1356, 0.1635, 0.2479, 0.2358, 0.3466, 0.2781, 0.2287, 0.3018, 0.2903, 0.3029, 0.3189, 0.3149, 0.3063, 0.3161, 0.2623, 0.2953, 0.2608, 0.326, 0.4186, 0.4709, 0.5879, 0.5879, 0.8019, 0.8259, 0.7944, 0.8317, 1.0293, 0.9667, 0.9927, 1.031, 0.9714, 0.9717, 1.1585, 1.0604, 1.0919, 0.9878, 0.8616, 1.0226, 0.9397, 0.9694, 0.9542, 0.8796, 0.9509, 0.9535, 0.9509, 0.9569, 0.9085, 0.8636, 0.8056, 1.0425, 1.1296, 1.1686, 1.4115, 1.4791, 1.4679, 1.6299, 1.6931, 1.6461, 1.6581, 1.8287, 1.9411, 1.9078, 2.2733, 2.1204, 1.9386, 1.6734, 1.7478, 1.7478, 1.169, 1.406, 1.4392, 1.4483, 1.7563, 1.9543, 1.9018, 1.7814, 1.9043, 1.9519, 1.7866, 1.4985, 1.5473, 1.6757, 1.7667, 1.7527, 1.818, 1.9438, 1.7266, 1.7961, 1.7193, 1.7937, 1.7977, 1.8508, 1.9053, 1.9339, 2.0301, 1.9485, 1.888, 1.83, 1.7716, 1.7762, 1.7969, 1.763, 1.7607, 1.7896]}
{"unit_id": "quote:962101290498187264", "ticker_idx": 0, "ts": "2018-02-09T23:09:57+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "bitcoin successfully tested $6,400, its 200-day moving average, this week. The \"200-day\" is a very important test in a bull market, according to traders.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "BTC held 200-day MA at $6,400 — author frames this as a bullish signal in an ongoing bull market.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "#bitcoin successfully tested $6,400, its 200-day moving average, this week. The “200-day” is a very important test in a bull market, according to traders.  Bitcoin’s low correlation to equities certainly helped as the $XIV, the “short vol” trade, ended in flames this week. https://t.co/uPbNW9EEBJ", "reply_text": null, "parent_text": null, "quoted_text": "$1,700? Even #Bitcoin's Bear Case Is Bullish - read @coindesk's latest piece from ARK CEO/ CIO @CathieDWood: https://t.co/6o0jHk3jip", "parent_author": null, "ret_m1d": -0.053953494194710294, "ret_signed_m1d": -0.053953494194710294, "alpha_spy_m1d": -0.03915428926306952, "alpha_c_m1d": null, "bench_spy_m1d": -0.014799204931640775, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.021699698703472547, "ret_signed_p1d": 0.021699698703472547, "alpha_spy_p1d": 0.007015317532606868, "alpha_c_p1d": null, "bench_spy_p1d": 0.014684381170865679, "bench_c_p1d": null, "ret_p1w": 0.17133149458547026, "ret_signed_p1w": 0.17133149458547026, "alpha_spy_p1w": 0.12693387979054793, "alpha_c_p1w": null, "bench_spy_p1w": 0.044397614794922324, "bench_c_p1w": null, "ret_p1m": 0.05358140036044712, "ret_signed_p1m": 0.05358140036044712, "alpha_spy_p1m": -0.011504380016172266, "alpha_c_p1m": null, "bench_spy_p1m": 0.06508578037661938, "bench_c_p1m": null, "ret_p3m": 0.06732294078644707, "ret_signed_p3m": 0.06732294078644707, "alpha_spy_p3m": 0.032602542610527196, "alpha_c_p3m": null, "bench_spy_p3m": 0.034720398175919875, "bench_c_p3m": null, "ret_p6m": -0.20432467148663613, "ret_signed_p6m": -0.20432467148663613, "alpha_spy_p6m": -0.30208086139559, "alpha_c_p6m": null, "bench_spy_p6m": 0.09775618990895385, "bench_c_p6m": null, "price_path": [-0.2405, -0.1627, -0.099, -0.1177, -0.0614, -0.0762, -0.0553, -0.0799, -0.0553, 0.1238, 0.1513, 0.1318, 0.1713, 0.2562, 0.3342, 0.3639, 0.6357, 1.0487, 0.8965, 0.9385, 0.9933, 0.878, 0.8958, 1.0267, 1.1877, 1.0347, 0.9028, 0.8087, 0.5831, 0.6054, 0.8427, 0.8128, 0.6718, 0.6775, 0.5631, 0.7148, 0.7398, 0.7854, 0.9949, 0.7363, 0.6705, 0.7138, 0.5344, 0.6002, 0.5818, 0.3152, 0.2806, 0.3134, 0.3285, 0.2512, 0.244, 0.3002, 0.2887, 0.2786, 0.2929, 0.1567, 0.1699, 0.0496, 0.0107, -0.2039, -0.1125, -0.1277, -0.054, 0.0, 0.0217, -0.0159, 0.0867, 0.1636, 0.1713, 0.2848, 0.3052, 0.2236, 0.1451, 0.179, 0.1865, 0.2276, 0.1901, 0.2534, 0.2689, 0.3246, 0.2338, 0.1406, 0.0753, 0.0687, 0.0536, 0.0524, -0.0535, -0.0499, -0.0456, -0.0122, 0.0202, 0.022, -0.001, 0.0163, -0.0604, -0.1035, -0.0896, -0.1798, -0.2113, -0.1892, -0.1466, -0.2155, -0.2204, -0.2404, -0.225, -0.2177, -0.2024, -0.097, -0.0963, -0.0776, -0.0956, -0.0656, -0.0507, 0.0125, 0.0222, 0.1099, 0.0124, 0.0623, 0.0286, 0.0576, 0.0437, 0.0571, 0.1152, 0.1103, 0.0728, 0.057, 0.0673, 0.0351, -0.0338, -0.0023, -0.0259, -0.0421, -0.0736, -0.0556, -0.0364, -0.0796, -0.135, -0.1316, -0.1439, -0.1832, -0.1447, -0.1523, -0.1422, -0.1368, -0.1399, -0.1263, -0.124, -0.1212, -0.1273, -0.2095, -0.2466, -0.2732, -0.236, -0.261, -0.2292, -0.2251, -0.2244, -0.2297, -0.3037, -0.2847, -0.3025, -0.2953, -0.3243, -0.2883, -0.243, -0.2526, -0.2449, -0.2401, -0.2362, -0.2284, -0.2755, -0.2681, -0.2871, -0.286, -0.2284, -0.1621, -0.1564, -0.1454, -0.1583, -0.1174, -0.0358, -0.0636, -0.0899, -0.0655, -0.0637, -0.1095, -0.1273, -0.1339, -0.1491, -0.2043]}
{"unit_id": "quote:1115347134738464768", "ticker_idx": 0, "ts": "2019-04-08T20:14:13+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "adding roughly $500 million to $TSLA's free cash flow. $500 million is double the consensus expectation for its free cash flow this year", "tweet_type": "analysis", "timeline": "months", "summary": "Fiat pooling deal adds ~$500M to TSLA free cash flow, double consensus — materially bullish catalyst.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "To minimize EU fines for carbon emissions, Fiat will team up, or pool environmentally, with #Tesla, adding roughly $500 million to $TSLA’s free cash flow.  $500 million is double the consensus expectation for its free cash flow this year.", "reply_text": null, "parent_text": null, "quoted_text": "Fiat to pay Tesla so that Fiat can continue developing on the wrong technology path🤔", "parent_author": null, "ret_m1d": 0.006442223672514569, "ret_signed_m1d": 0.006442223672514569, "alpha_spy_m1d": 0.007204013138728205, "alpha_c_m1d": 0.010003639239739792, "bench_spy_m1d": -0.000761789466213636, "bench_c_m1d": -0.0035614155672252235, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.003257712404775681, "ret_signed_p1d": -0.003257712404775681, "alpha_spy_p1d": 0.0018671810661113897, "alpha_c_p1d": 0.005730054301619991, "bench_spy_p1d": -0.005124893470887071, "bench_c_p1d": -0.008987766706395672, "ret_p1w": -0.024963368014684684, "ret_signed_p1w": -0.024963368014684684, "alpha_spy_p1w": -0.029049393682555436, "alpha_c_p1w": -0.03022009183218033, "bench_spy_p1w": 0.004086025667870752, "bench_c_p1w": 0.0052567238174956454, "ret_p1m": -0.09568079780233218, "ret_signed_p1m": -0.09568079780233218, "alpha_spy_p1m": -0.09270261625502207, "alpha_c_p1m": -0.09245863687845679, "bench_spy_p1m": -0.0029781815473101103, "bench_c_p1m": -0.0032221609238753945, "ret_p3m": -0.1401903355230143, "ret_signed_p3m": -0.1401903355230143, "alpha_spy_p3m": -0.17988444666990389, "alpha_c_p3m": -0.17443747832619771, "bench_spy_p3m": 0.03969411114688959, "bench_c_p3m": 0.03424714280318342, "ret_p6m": -0.10435570851579512, "ret_signed_p6m": -0.10435570851579512, "alpha_spy_p6m": -0.12941557890366373, "alpha_c_p6m": -0.1260706938110845, "bench_spy_p6m": 0.02505987038786861, "bench_c_p6m": 0.02171498529528937, "price_path": [0.2391, 0.2627, 0.2711, 0.224, 0.2607, 0.2667, 0.2713, 0.1064, 0.1064, 0.0941, 0.0527, 0.067, 0.0873, 0.0848, 0.0888, 0.1302, 0.1238, 0.1428, 0.1453, 0.1762, 0.1611, 0.1256, 0.1193, 0.1451, 0.1413, 0.128, 0.1119, 0.1269, 0.1269, 0.1187, 0.1075, 0.066, 0.0787, 0.0936, 0.0903, 0.152, 0.1709, 0.079, 0.0445, 0.0122, 0.0111, 0.0124, 0.04, 0.0649, 0.0372, 0.0577, 0.0613, 0.0082, -0.0136, -0.021, 0.0015, 0.003, -0.0317, -0.0468, -0.0199, 0.006, 0.0198, 0.0244, 0.0585, 0.0464, 0.0681, -0.0198, 0.0064, 0.0, -0.0033, 0.0105, -0.0175, -0.0201, -0.025, 0.0006, -0.0072, 0.0002, 0.0002, -0.0383, -0.034, -0.0532, -0.0936, -0.1393, -0.1161, -0.1263, -0.1434, -0.1065, -0.0665, -0.0654, -0.0957, -0.1038, -0.1143, -0.1233, -0.1691, -0.1497, -0.151, -0.1642, -0.2276, -0.2483, -0.2493, -0.2945, -0.2844, -0.3022, -0.3022, -0.3093, -0.3051, -0.3111, -0.3223, -0.3449, -0.2914, -0.2804, -0.2462, -0.2515, -0.2208, -0.2053, -0.234, -0.217, -0.2133, -0.1763, -0.1774, -0.1712, -0.1961, -0.1879, -0.1814, -0.1956, -0.1974, -0.1843, -0.1821, -0.1685, -0.1781, -0.1402, -0.1402, -0.1468, -0.1569, -0.1579, -0.1255, -0.1266, -0.1029, -0.0721, -0.0762, -0.0671, -0.072, -0.055, -0.0641, -0.0477, -0.0305, -0.1624, -0.1653, -0.137, -0.1133, -0.1156, -0.144, -0.1422, -0.1643, -0.1554, -0.1456, -0.1277, -0.1398, -0.1617, -0.1398, -0.1961, -0.2107, -0.1949, -0.1697, -0.1733, -0.1917, -0.1869, -0.2262, -0.213, -0.2164, -0.2109, -0.1885, -0.1742, -0.1742, -0.1764, -0.1922, -0.1597, -0.1675, -0.1516, -0.1378, -0.0955, -0.1, -0.1025, -0.1112, -0.104, -0.1087, -0.0974, -0.1193, -0.117, -0.183, -0.1629, -0.1122, -0.1137, -0.1183, -0.1044]}
{"unit_id": "quote:965021706048983040", "ticker_idx": 0, "ts": "2018-02-18T00:34:38+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Traders provided important support for #bitcoin as it stabilized around its 200-day moving average in 2015, and they played the downside in January until it hit the important 200-day moving average around $6,000, a good test.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish BTC: $6,000 200-day MA held as a good test, analogous to 2015 support pattern.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Traders provided important support for #bitcoin as it stabilized around its 200-day moving average in 2015, and they played the downside in January until it hit the important 200-day moving average around $6,000, a good test. https://t.co/SlB2WAUndr", "reply_text": null, "parent_text": null, "quoted_text": "This is pretty much what I’m expecting for 2018. https://t.co/V8B3p35JX9", "parent_author": null, "ret_m1d": -0.08831830163222076, "ret_signed_m1d": -0.08831830163222076, "alpha_spy_m1d": -0.08831830163222076, "alpha_c_m1d": null, "bench_spy_m1d": 0.0, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.01589270609507487, "ret_signed_p1d": 0.01589270609507487, "alpha_spy_p1d": 0.022153783269492355, "alpha_c_p1d": null, "bench_spy_p1d": -0.006261077174417484, "bench_c_p1d": null, "ret_p1w": -0.0764879000395573, "ret_signed_p1w": -0.0764879000395573, "alpha_spy_p1w": -0.09402653339624822, "alpha_c_p1w": null, "bench_spy_p1w": 0.017538633356690925, "bench_c_p1w": null, "ret_p1m": -0.20594818119330927, "ret_signed_p1m": -0.20594818119330927, "alpha_spy_p1m": -0.20201265603756624, "alpha_c_p1m": null, "bench_spy_p1m": -0.003935525155743025, "bench_c_p1m": null, "ret_p3m": -0.2789217245815835, "ret_signed_p3m": -0.2789217245815835, "alpha_spy_p3m": -0.2788830669448499, "alpha_c_p3m": null, "bench_spy_p3m": -3.865763673360778e-05, "bench_c_p3m": null, "ret_p6m": -0.44770205973932176, "ret_signed_p6m": -0.44770205973932176, "alpha_spy_p6m": -0.4960597798629831, "alpha_c_p6m": null, "bench_spy_p6m": 0.04835772012366135, "bench_c_p6m": null, "price_path": [-0.2647, -0.2839, -0.2647, -0.1253, -0.1039, -0.1191, -0.0883, -0.0222, 0.0385, 0.0616, 0.2732, 0.5946, 0.4761, 0.5088, 0.5514, 0.4617, 0.4756, 0.5774, 0.7028, 0.5836, 0.481, 0.4078, 0.2322, 0.2496, 0.4342, 0.411, 0.3012, 0.3056, 0.2166, 0.3347, 0.3542, 0.3896, 0.5527, 0.3514, 0.3002, 0.3339, 0.1942, 0.2455, 0.2311, 0.0236, -0.0033, 0.0222, 0.034, -0.0262, -0.0318, 0.0119, 0.003, -0.0048, 0.0063, -0.0997, -0.0895, -0.183, -0.2133, -0.3804, -0.3092, -0.3211, -0.2637, -0.2217, -0.2048, -0.234, -0.1542, -0.0943, -0.0883, 0.0, 0.0159, -0.0477, -0.1087, -0.0823, -0.0765, -0.0445, -0.0737, -0.0244, -0.0124, 0.031, -0.0397, -0.1122, -0.1631, -0.1682, -0.18, -0.1809, -0.2633, -0.2605, -0.2572, -0.2311, -0.2059, -0.2045, -0.2224, -0.209, -0.2687, -0.3022, -0.2914, -0.3616, -0.3862, -0.3689, -0.3358, -0.3894, -0.3932, -0.4088, -0.3968, -0.3911, -0.3792, -0.2972, -0.2966, -0.2821, -0.296, -0.2728, -0.2611, -0.212, -0.2044, -0.1361, -0.212, -0.1732, -0.1994, -0.1768, -0.1876, -0.1772, -0.132, -0.1358, -0.165, -0.1773, -0.1693, -0.1943, -0.248, -0.2235, -0.2419, -0.2545, -0.2789, -0.265, -0.25, -0.2836, -0.3267, -0.3241, -0.3336, -0.3643, -0.3343, -0.3402, -0.3324, -0.3282, -0.3306, -0.32, -0.3181, -0.316, -0.3207, -0.3847, -0.4136, -0.4343, -0.4053, -0.4248, -0.4, -0.3969, -0.3963, -0.4005, -0.458, -0.4433, -0.4571, -0.4515, -0.4741, -0.446, -0.4108, -0.4183, -0.4123, -0.4086, -0.4055, -0.3994, -0.4361, -0.4303, -0.4451, -0.4443, -0.3994, -0.3478, -0.3434, -0.3348, -0.3449, -0.3131, -0.2495, -0.2712, -0.2916, -0.2726, -0.2712, -0.3069, -0.3207, -0.3259, -0.3377, -0.3807, -0.3984, -0.4383, -0.4149, -0.449, -0.439, -0.4477]}
{"unit_id": "thread:1638738845914021888", "ticker_idx": 0, "ts": "2023-03-23T03:06:01+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Why have bitcoin and other crypto assets appreciated during this banking crisis? In our view and in contrast to those in the traditional financial world, many crypto assets face no central points of failure: they are decentralized, transparent, and auditable.", "tweet_type": "analysis", "timeline": "months", "summary": "Long crypto as decentralized hedge vs. banking-system failure; short US regional banks facing solvency erosion from deposit outflows and negative net interest margins.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "self_thread", "lang": "en", "tweet_text": "Ironically, as crypto assets soared during the Silicon Valley Bank meltdown, this administration suggested that investors in regional banks - equity and bond holders - should prepare to be “wiped out” in the aftermath of an unprecedented 20-fold increase in the Fed funds rate.\n\n---\n\nNow we are hearing anecdotes not only that businesses and individuals are hedging their fiat assets with some crypto assets but that they also are lowering risk and increasing returns by shifting from low yielding bank deposits into higher yielding money market funds, a win-win.\n\n---\n\nAs a result, now that they can borrow at will from a government facility at ~4.5%, regional banks seem to be moving from a liquidity crisis to a slower moving solvency crisis.\n\n---\n\nAgainst depressed interest rates on the long-term assets they purchased during the coronavirus crisis, banks now are borrowing at ~4.5% to plug deposit outflows, causing net interest losses and lower earnings that will erode their equity and threaten their future.\n\n---\n\nGiven this negative feedback loop, why will deposits flow back to regional banks? If they do not, then M2 growth is likely to accelerate further into negative territory for the first time since the 1930’s, putting significant stress on both commercial and residential real estate.\n\n---\n\nWhy have bitcoin and other crypto assets appreciated during  this banking crisis? In our view and in contrast to those in the traditional financial world, many crypto assets face no central points of failure: they are decentralized, transparent, and auditable.\n\n---\n\nWhy would regulators deprive US citizens of access to crypto assets, “insurance” born in the 2008-09 global financial crisis against the probability, hopefully low, that once again the Fed and regulators have made policy mistakes that threaten our well-being?", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.03622983507127664, "ret_signed_m1d": -0.03622983507127664, "alpha_spy_m1d": -0.03353362416429817, "alpha_c_m1d": null, "bench_spy_m1d": -0.002696210906978469, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.02967065403073854, "ret_signed_p1d": -0.02967065403073854, "alpha_spy_p1d": -0.036232560451159745, "alpha_c_p1d": null, "bench_spy_p1d": 0.006561906420421204, "bench_c_p1d": null, "ret_p1w": -0.010602472159290888, "ret_signed_p1w": -0.010602472159290888, "alpha_spy_p1w": -0.037384629497437705, "alpha_c_p1w": null, "bench_spy_p1w": 0.026782157338146817, "bench_c_p1w": null, "ret_p1m": -0.037307246421967255, "ret_signed_p1m": -0.037307246421967255, "alpha_spy_p1m": -0.08570861605548763, "alpha_c_p1m": null, "bench_spy_p1m": 0.048401369633520375, "bench_c_p1m": null, "ret_p3m": -0.0002288551301531383, "ret_signed_p3m": -0.0002288551301531383, "alpha_spy_p3m": -0.11629538290623931, "alpha_c_p3m": null, "bench_spy_p3m": 0.11606652777608617, "bench_c_p3m": null, "ret_p6m": -0.060890836516510616, "ret_signed_p6m": -0.060890836516510616, "alpha_spy_p6m": -0.19675221609214222, "alpha_c_p6m": null, "bench_spy_p6m": 0.1358613795756316, "bench_c_p6m": null, "price_path": [-0.4028, -0.41, -0.4158, -0.4126, -0.414, -0.411, -0.4113, -0.4048, -0.4058, -0.4017, -0.3931, -0.3843, -0.367, -0.334, -0.2973, -0.2529, -0.2531, -0.2698, -0.2558, -0.1997, -0.1906, -0.2011, -0.1841, -0.1871, -0.1855, -0.1939, -0.1833, -0.1627, -0.1716, -0.1724, -0.1967, -0.1789, -0.1904, -0.2299, -0.2359, -0.2303, -0.2158, -0.1421, -0.1662, -0.133, -0.1237, -0.1376, -0.1463, -0.1548, -0.1813, -0.1698, -0.1831, -0.1654, -0.1715, -0.2107, -0.2084, -0.2158, -0.2335, -0.2813, -0.2875, -0.146, -0.1266, -0.1397, -0.1158, -0.0321, -0.02, -0.0056, -0.0362, 0.0, -0.0297, -0.0421, -0.0376, 0.0005, -0.0106, 0.0051, -0.0192, -0.0059, -0.0055, -0.0102, -0.0144, 0.0466, 0.0671, 0.0637, 0.0729, 0.0759, 0.0392, 0.0728, 0.0172, -0.0031, -0.0373, -0.0285, -0.0009, 0.0031, 0.0402, 0.0355, -0.0086, 0.0122, 0.0237, 0.0181, 0.0424, -0.0226, -0.0238, -0.0251, -0.0471, -0.054, -0.0403, -0.0458, -0.033, -0.053, -0.051, -0.0523, -0.0391, -0.0706, -0.0656, -0.057, -0.0208, -0.0223, -0.0393, -0.0534, -0.0383, -0.0908, -0.0387, -0.0702, -0.0644, -0.0654, -0.0858, -0.0852, -0.1133, -0.0973, -0.0708, -0.0523, -0.0002, 0.0598, 0.0557, 0.0833, 0.0684, 0.0831, 0.0618, 0.0745, 0.0756, 0.0996, 0.0862, 0.0769, 0.0556, 0.0709, 0.0734, 0.0807, 0.0726, 0.1109, 0.0706, 0.0639, 0.0537, 0.0558, 0.0515, 0.0556, 0.0298, 0.0315, 0.036, 0.0309, 0.0348, 0.0316, 0.0474, 0.0289, 0.0298, 0.0261, 0.0299, 0.0505, 0.0433, 0.0387, 0.0375, 0.0379, 0.0295, 0.013, -0.0589, -0.0806, -0.078, -0.0813, -0.0671, -0.0766, -0.0807, -0.0786, -0.0214, -0.0366, -0.0848, -0.0894, -0.089, -0.0901, -0.0911, -0.0739, -0.0857, -0.1119, -0.0883, -0.0743, -0.0633, -0.0609]}
{"unit_id": "thread:1638738845914021888", "ticker_idx": 1, "ts": "2023-03-23T03:06:01+00:00", "symbol": "regional banks", "kind": "sector", "geography": "US", "sub_sector": null, "direction": "short", "conviction": "low", "explicit": false, "explicit_audit": "kept_implicit_alias_present", "polarity_reversed": false, "quote": "regional banks seem to be moving from a liquidity crisis to a slower moving solvency crisis", "tweet_type": "analysis", "timeline": "months", "summary": "Long crypto as decentralized hedge vs. banking-system failure; short US regional banks facing solvency erosion from deposit outflows and negative net interest margins.", "resolved_tickers": ["KRE"], "resolution_method": "etf", "resolution_reason": "US regional banks; KRE is standard ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "self_thread", "lang": "en", "tweet_text": "Ironically, as crypto assets soared during the Silicon Valley Bank meltdown, this administration suggested that investors in regional banks - equity and bond holders - should prepare to be “wiped out” in the aftermath of an unprecedented 20-fold increase in the Fed funds rate.\n\n---\n\nNow we are hearing anecdotes not only that businesses and individuals are hedging their fiat assets with some crypto assets but that they also are lowering risk and increasing returns by shifting from low yielding bank deposits into higher yielding money market funds, a win-win.\n\n---\n\nAs a result, now that they can borrow at will from a government facility at ~4.5%, regional banks seem to be moving from a liquidity crisis to a slower moving solvency crisis.\n\n---\n\nAgainst depressed interest rates on the long-term assets they purchased during the coronavirus crisis, banks now are borrowing at ~4.5% to plug deposit outflows, causing net interest losses and lower earnings that will erode their equity and threaten their future.\n\n---\n\nGiven this negative feedback loop, why will deposits flow back to regional banks? If they do not, then M2 growth is likely to accelerate further into negative territory for the first time since the 1930’s, putting significant stress on both commercial and residential real estate.\n\n---\n\nWhy have bitcoin and other crypto assets appreciated during  this banking crisis? In our view and in contrast to those in the traditional financial world, many crypto assets face no central points of failure: they are decentralized, transparent, and auditable.\n\n---\n\nWhy would regulators deprive US citizens of access to crypto assets, “insurance” born in the 2008-09 global financial crisis against the probability, hopefully low, that once again the Fed and regulators have made policy mistakes that threaten our well-being?", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.028645954751636227, "ret_signed_m1d": -0.028645954751636227, "alpha_spy_m1d": -0.031342165658614696, "alpha_c_m1d": -0.031342165658614696, "bench_spy_m1d": -0.002696210906978469, "bench_c_m1d": -0.002696210906978469, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.03030295264012195, "ret_signed_p1d": -0.03030295264012195, "alpha_spy_p1d": -0.023741046219700745, "alpha_c_p1d": -0.023741046219700745, "bench_spy_p1d": 0.006561906420421204, "bench_c_p1d": 0.006561906420421204, "ret_p1w": 0.02817241412960847, "ret_signed_p1w": -0.02817241412960847, "alpha_spy_p1w": -0.0013902567914616526, "alpha_c_p1w": -0.0013902567914616526, "bench_spy_p1w": 0.026782157338146817, "bench_c_p1w": 0.026782157338146817, "ret_p1m": 0.016335278589054036, "ret_signed_p1m": -0.016335278589054036, "alpha_spy_p1m": 0.03206609104446634, "alpha_c_p1m": 0.03206609104446634, "bench_spy_p1m": 0.048401369633520375, "bench_c_p1m": 0.048401369633520375, "ret_p3m": 0.0064828933450291615, "ret_signed_p3m": -0.0064828933450291615, "alpha_spy_p3m": 0.10958363443105701, "alpha_c_p3m": 0.10958363443105701, "bench_spy_p3m": 0.11606652777608617, "bench_c_p3m": 0.11606652777608617, "ret_p6m": 0.044477036779143164, "ret_signed_p6m": -0.044477036779143164, "alpha_spy_p6m": 0.09138434279648844, "alpha_c_p6m": 0.09138434279648844, "bench_spy_p6m": 0.1358613795756316, "bench_c_p6m": 0.1358613795756316, "price_path": [0.3668, 0.3682, 0.3586, 0.3842, 0.379, 0.379, 0.3694, 0.3879, 0.3616, 0.4015, 0.3889, 0.3994, 0.4072, 0.4245, 0.4229, 0.4229, 0.4142, 0.3637, 0.3654, 0.4032, 0.4255, 0.4086, 0.4119, 0.4217, 0.4307, 0.4161, 0.4584, 0.479, 0.5185, 0.5194, 0.5048, 0.521, 0.5039, 0.4818, 0.4788, 0.4908, 0.4851, 0.5027, 0.4762, 0.4837, 0.4837, 0.4492, 0.4422, 0.4478, 0.448, 0.4476, 0.4452, 0.4365, 0.4001, 0.4175, 0.4069, 0.3616, 0.3546, 0.2447, 0.19, 0.0435, 0.0654, 0.048, 0.0848, 0.0198, 0.0313, 0.0907, 0.0286, 0.0, 0.0303, 0.0393, 0.0384, 0.0495, 0.0282, 0.0384, 0.0275, 0.0047, -0.0054, 0.0092, 0.0092, 0.0144, 0.0173, 0.0062, 0.0215, 0.0017, 0.0315, 0.0092, 0.049, 0.0294, 0.0163, 0.0111, -0.0315, -0.0256, -0.0073, 0.0099, -0.0185, -0.08, -0.0966, -0.1458, -0.0921, -0.1103, -0.1141, -0.1226, -0.1444, -0.139, -0.1117, -0.125, -0.0606, -0.0549, -0.0717, -0.0421, -0.0327, -0.05, -0.0578, -0.0462, -0.0462, -0.0481, -0.0774, -0.0587, -0.0007, -0.0265, 0.0218, 0.0556, 0.0431, 0.0289, 0.0213, 0.045, 0.0144, 0.0339, 0.0196, 0.0196, 0.0065, -0.009, -0.0404, -0.0542, -0.0423, -0.026, -0.0313, -0.0131, -0.0243, -0.0019, -0.0019, -0.015, -0.0301, -0.009, -0.0012, 0.0122, 0.0325, 0.0502, 0.0306, 0.0485, 0.0927, 0.1267, 0.1224, 0.1083, 0.1362, 0.1147, 0.1675, 0.1477, 0.1642, 0.1635, 0.1511, 0.1458, 0.1558, 0.1604, 0.1718, 0.1568, 0.1401, 0.1391, 0.142, 0.1197, 0.0825, 0.0703, 0.0703, 0.0693, 0.0622, 0.0318, 0.0452, 0.05, 0.0426, 0.0576, 0.0677, 0.0598, 0.0648, 0.0901, 0.0901, 0.0655, 0.0409, 0.0268, 0.0361, 0.0342, 0.0428, 0.0301, 0.0505, 0.0445]}
{"unit_id": "quote:2052910169424805980", "ticker_idx": 1, "ts": "2026-05-09T00:35:00+00:00", "symbol": "TLT", "kind": "etf", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": false, "explicit_audit": "kept_implicit_alias_present", "polarity_reversed": false, "quote": "We believe inflation is likely to surprise on the low side over the next 6–9 months. If that proves correct, the implications for interest rates and long-duration equities could be profound", "tweet_type": "analysis", "timeline": "quarters", "summary": "Cathie Wood: AI-driven disinflation will surprise to the downside in 6–9 months, profoundly bullish for long-duration bonds and equities.", "resolved_tickers": ["TLT"], "resolution_method": "etf", "resolution_reason": "TLT is iShares 20+ Year Treasury Bond ETF", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "One of the more interesting signals in the data right now is that the yield curve continues to flatten despite a significant increase in oil prices on a trailing three-month basis. Historically, in a more traditional economic cycle, an energy shock that is being monetized by the Federal Reserve would steepen the curve, not flatten it. The Fed is not monetizing this energy shock.\n\nIn our view, the bond market may be beginning to discount something much more powerful: the deflationary impact of artificial intelligence and technologically enabled productivity gains across the economy.\n\nThe cost to train AI models is falling dramatically. Inference costs are collapsing even more rapidly. At the same time, productivity growth appears to be accelerating beneath the surface of the official data, while unit labor costs remain remarkably subdued.\n\nMuch of the market narrative today is centered around tariffs, deficits, and structurally higher inflation. Yet the underlying signals increasingly suggest that disinflationary forces tied to innovation are building momentum.\n\nWe believe inflation is likely to surprise on the low side over the next 6–9 months. If that proves correct, the implications for interest rates and long-duration equities could be profound.\n\nHistorically, the market has tended to underestimate the speed and scale at which technologically driven innovation can reshape the macroeconomic environment.\n\nI share my thoughts on this month's episode of In The Know.", "reply_text": null, "parent_text": null, "quoted_text": "The narrative says: dollar crashing, deficits exploding, AI killing entry-level jobs, recession looming.\n\nWe see something almost the opposite. What we think is actually happening in this month’s “In The Know” with @CathieDWood.\nhttps://t.co/Ax02RKAjTq", "parent_author": null, "ret_m1d": 0.006077656466794812, "ret_signed_m1d": 0.006077656466794812, "alpha_spy_m1d": 0.008350066453972738, "alpha_c_m1d": 0.008350066453972738, "bench_spy_m1d": -0.0022724099871779257, "bench_c_m1d": -0.0022724099871779257, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.006661988208144454, "ret_signed_p1d": -0.006661988208144454, "alpha_spy_p1d": -0.00514704821669254, "alpha_c_p1d": -0.00514704821669254, "bench_spy_p1d": -0.0015149399914519135, "bench_c_p1d": -0.0015149399914519135, "ret_p1w": -0.023375409736662855, "ret_signed_p1w": -0.023375409736662855, "alpha_spy_p1w": -0.022496249193394657, "alpha_c_p1w": -0.022496249193394657, "bench_spy_p1w": -0.0008791605432681981, "bench_c_p1w": -0.0008791605432681981, "ret_p1m": null, "ret_signed_p1m": null, "alpha_spy_p1m": null, "alpha_c_p1m": null, "bench_spy_p1m": null, "bench_c_p1m": null, "ret_p3m": null, "ret_signed_p3m": null, "alpha_spy_p3m": null, "alpha_c_p3m": null, "bench_spy_p3m": null, "bench_c_p3m": null, "ret_p6m": null, "ret_signed_p6m": null, "alpha_spy_p6m": null, "alpha_c_p6m": null, "bench_spy_p6m": null, "bench_c_p6m": null, "price_path": [0.018, 0.0315, 0.0372, 0.0372, 0.0389, 0.035, 0.036, 0.0336, 0.0374, 0.0392, 0.0394, 0.0435, 0.0499, 0.0393, 0.0372, 0.034, 0.0298, 0.026, 0.0349, 0.0239, 0.0107, 0.0087, 0.0037, 0.0115, 0.0143, 0.0086, 0.0147, -0.0045, 0.002, -0.0024, 0.0072, -0.0013, -0.0067, 0.0065, 0.0055, 0.0045, 0.0106, 0.0106, 0.009, 0.0089, 0.0122, 0.0096, 0.0072, 0.0102, 0.0155, 0.0111, 0.0047, 0.0139, 0.0137, 0.0081, 0.0101, 0.0078, 0.0097, 0.0047, 0.0058, -0.002, -0.003, 0.0006, -0.007, -0.0015, 0.0061, 0.0011, 0.0061, 0.0, -0.0067, -0.0089, -0.0075, -0.0222, -0.0234, -0.0297, -0.0193, -0.0157, -0.0103, -0.0103, -0.0054, -0.003, 0.0021, 0.0023, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null]}
{"unit_id": "quote:1276743970278817792", "ticker_idx": 0, "ts": "2020-06-27T05:07:37+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "ARKInvest would love to debate $GS on the merits of #bitcoin as a new asset class", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Endorses bitcoin as a legitimate asset class, challenging Goldman's dismissal of BTC myths; implicitly bullish.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": ".@ARKInvest would love to debate $GS on the merits of #bitcoin as a new asset class. In this blog, @yassineARK, @ARKInvest’s crypto analyst, debunks the long held myths that Goldman Sachs seems to be perpetuating.", "reply_text": null, "parent_text": null, "quoted_text": "Eleven years after Bitcoin’s creation, major financial institutions STILL dismiss it based on outdated arguments:\n\n“bitcoin is too volatile”\n“bitcoin is a bubble”\n“bitcoin is for criminals”\n“bitcoin is wasteful”\n\nHere's why they have it wrong:\nhttps://t.co/CD12cvkP0f", "parent_author": null, "ret_m1d": -0.003039600230995587, "ret_signed_m1d": -0.003039600230995587, "alpha_spy_m1d": 0.011445140157646083, "alpha_c_m1d": null, "bench_spy_m1d": -0.01448474038864167, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.005751513982724221, "ret_signed_p1d": -0.005751513982724221, "alpha_spy_p1d": -0.018561121753081444, "alpha_c_p1d": null, "bench_spy_p1d": 0.012809607770357223, "bench_c_p1d": null, "ret_p1w": 0.02008737243576575, "ret_signed_p1w": 0.02008737243576575, "alpha_spy_p1w": -0.021264519297036877, "alpha_c_p1w": null, "bench_spy_p1w": 0.041351891732802626, "bench_c_p1w": null, "ret_p1m": 0.18735676334161577, "ret_signed_p1m": 0.18735676334161577, "alpha_spy_p1m": 0.13247255756237575, "alpha_c_p1m": null, "bench_spy_p1m": 0.054884205779240025, "bench_c_p1m": null, "ret_p3m": 0.17073623735381482, "ret_signed_p3m": 0.17073623735381482, "alpha_spy_p3m": 0.10394588807183669, "alpha_c_p3m": null, "bench_spy_p3m": 0.06679034928197813, "bench_c_p3m": null, "ret_p6m": 1.5876842373134386, "ret_signed_p6m": 1.5876842373134386, "alpha_spy_p6m": 1.371492685518566, "alpha_c_p6m": null, "bench_spy_p6m": 0.21619155179487248, "bench_c_p6m": null, "price_path": [-0.2812, -0.2608, -0.2674, -0.2088, -0.2192, -0.202, -0.2055, -0.253, -0.2552, -0.2555, -0.2773, -0.2257, -0.2279, -0.2512, -0.2514, -0.2256, -0.1916, -0.1784, -0.1518, -0.1506, -0.0424, -0.0579, -0.0355, -0.0303, -0.0204, 0.0085, 0.0828, 0.0709, -0.0641, -0.042, 0.0086, 0.0591, 0.0149, 0.0583, 0.0586, 0.0361, -0.0119, -0.0009, -0.0309, -0.0387, -0.0011, 0.0364, 0.027, 0.1062, 0.0369, 0.0507, 0.0663, 0.0516, 0.0632, 0.0658, 0.0739, 0.0142, 0.0316, 0.0283, 0.0378, 0.0315, 0.024, 0.0106, 0.0498, 0.0477, 0.0134, 0.008, -0.003, 0.0, -0.0058, 0.0041, -0.0073, -0.0113, 0.0201, 0.0067, 0.0258, 0.0095, 0.0096, 0.0057, 0.0057, 0.0002, -0.0064, -0.0043, -0.0029, 0.02, 0.0364, 0.0425, 0.0377, 0.1958, 0.1874, 0.2078, 0.2089, 0.232, 0.2236, 0.2192, 0.2781, 0.2817, 0.2623, 0.2924, 0.2415, 0.2605, 0.2822, 0.2805, 0.3333, 0.3047, 0.2793, 0.2924, 0.2613, 0.2811, 0.2367, 0.25, 0.232, 0.2559, 0.2709, 0.3024, 0.2419, 0.1147, 0.1437, 0.1282, 0.1023, 0.1144, 0.1275, 0.1317, 0.1621, 0.1747, 0.1941, 0.1913, 0.1908, 0.1383, 0.1466, 0.1148, 0.1707, 0.1634, 0.1653, 0.1799, 0.1734, 0.1554, 0.1507, 0.1744, 0.1538, 0.1608, 0.1877, 0.2039, 0.2573, 0.2432, 0.2436, 0.2507, 0.2319, 0.2776, 0.2965, 0.3953, 0.4107, 0.407, 0.4226, 0.4856, 0.444, 0.4621, 0.4739, 0.4743, 0.5178, 0.5378, 0.6951, 0.6936, 0.6682, 0.6637, 0.7084, 0.7709, 0.7754, 0.8188, 0.9199, 0.9371, 0.9386, 1.0261, 0.9981, 1.079, 1.0381, 0.8661, 0.8615, 1.1354, 1.0458, 1.0892, 1.1157, 1.0346, 1.0881, 0.9934, 1.0187, 0.9873, 0.9649, 1.0941, 1.1127, 1.3187, 1.4813, 1.5175, 1.4811, 1.5877]}
{"unit_id": "quote:1114126024386777088", "ticker_idx": 0, "ts": "2019-04-05T11:21:58+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "So, $TSLA had it right after all!", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish TSLA; Wayve's camera-only AV success validates Tesla's non-LiDAR autonomous driving approach.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "So, $TSLA had it right after all!", "reply_text": null, "parent_text": null, "quoted_text": "Wayve's latest video shows a car using basic cameras and no base maps on roads its never seen before thanks to end to end imitation and reinforcement learning. Gives credit to a non-LiDAR approach. #Tesla", "parent_author": null, "ret_m1d": -0.02611297231823073, "ret_signed_m1d": -0.02611297231823073, "alpha_spy_m1d": -0.02129609320181003, "alpha_c_m1d": -0.020241608043656156, "bench_spy_m1d": -0.0048168791164207025, "bench_c_m1d": -0.005871364274574575, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.0064009870820075365, "ret_signed_p1d": -0.0064009870820075365, "alpha_spy_p1d": -0.0071633573138331075, "alpha_c_p1d": -0.009975131663384373, "bench_spy_p1d": 0.000762370231825571, "bench_c_p1d": 0.003574144581376837, "ret_p1w": -0.026403902628247322, "ret_signed_p1w": -0.026403902628247322, "alpha_spy_p1w": -0.03191388828127073, "alpha_c_p1w": -0.03321130956733109, "bench_spy_p1w": 0.005509985653023408, "bench_c_p1w": 0.006807406939083771, "ret_p1m": -0.07135586114799475, "ret_signed_p1m": -0.07135586114799475, "alpha_spy_p1m": -0.08608378807033534, "alpha_c_p1m": -0.08709793781522901, "bench_spy_p1m": 0.014727926922340595, "bench_c_p1m": 0.01574207666723426, "ret_p3m": -0.14569396607831664, "ret_signed_p3m": -0.14569396607831664, "alpha_spy_p3m": -0.18618070906574913, "alpha_c_p3m": -0.18363765770275464, "bench_spy_p3m": 0.04048674298743249, "bench_c_p3m": 0.037943691624438, "ret_p6m": -0.12398167888223655, "ret_signed_p6m": -0.12398167888223655, "alpha_spy_p6m": -0.1621720368827979, "alpha_c_p6m": -0.1580008670651336, "bench_spy_p6m": 0.038190358000561364, "bench_c_p6m": 0.034019188182897064, "price_path": [0.2196, 0.2312, 0.2546, 0.2629, 0.2162, 0.2527, 0.2585, 0.2631, 0.0993, 0.0993, 0.0871, 0.0459, 0.0602, 0.0803, 0.0779, 0.0818, 0.123, 0.1166, 0.1355, 0.1379, 0.1687, 0.1537, 0.1184, 0.1122, 0.1378, 0.134, 0.1208, 0.1048, 0.1197, 0.1197, 0.1116, 0.1004, 0.0592, 0.0718, 0.0866, 0.0833, 0.1447, 0.1634, 0.0721, 0.0378, 0.0057, 0.0047, 0.0059, 0.0334, 0.058, 0.0305, 0.0509, 0.0546, 0.0017, -0.0199, -0.0272, -0.0049, -0.0034, -0.0379, -0.0529, -0.0261, -0.0005, 0.0133, 0.0178, 0.0517, 0.0397, 0.0613, -0.0261, 0.0, -0.0064, -0.0096, 0.004, -0.0238, -0.0264, -0.0312, -0.0058, -0.0136, -0.0062, -0.0062, -0.0444, -0.0402, -0.0593, -0.0994, -0.1448, -0.1218, -0.1319, -0.1489, -0.1122, -0.0725, -0.0714, -0.1015, -0.1095, -0.1199, -0.1289, -0.1744, -0.1551, -0.1564, -0.1696, -0.2325, -0.2531, -0.2541, -0.2991, -0.289, -0.3067, -0.3067, -0.3137, -0.3095, -0.3155, -0.3266, -0.3491, -0.2959, -0.285, -0.251, -0.2563, -0.2258, -0.2104, -0.2389, -0.222, -0.2184, -0.1816, -0.1826, -0.1765, -0.2013, -0.1931, -0.1866, -0.2008, -0.2025, -0.1896, -0.1873, -0.1738, -0.1833, -0.1457, -0.1457, -0.1522, -0.1623, -0.1633, -0.1311, -0.1322, -0.1087, -0.078, -0.0821, -0.0731, -0.0779, -0.061, -0.0701, -0.0538, -0.0367, -0.1678, -0.1706, -0.1425, -0.1189, -0.1213, -0.1495, -0.1477, -0.1696, -0.1608, -0.1511, -0.1333, -0.1453, -0.1671, -0.1453, -0.2013, -0.2157, -0.2001, -0.175, -0.1786, -0.1969, -0.1921, -0.2312, -0.2181, -0.2214, -0.2159, -0.1937, -0.1795, -0.1795, -0.1817, -0.1974, -0.165, -0.1728, -0.157, -0.1434, -0.1013, -0.1058, -0.1082, -0.1169, -0.1097, -0.1145, -0.1031, -0.1249, -0.1227, -0.1882, -0.1682, -0.1178, -0.1194, -0.124]}
{"unit_id": "orig:860078585972916227", "ticker_idx": 0, "ts": "2017-05-04T10:28:09+00:00", "symbol": "^GSPC", "kind": "index", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": false, "explicit_audit": "flipped_to_implicit", "polarity_reversed": false, "quote": "Lower #oil prices are good for the S&P", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Lower oil prices are a net positive for the S&P 500; implied bullish on equities.", "resolved_tickers": ["^GSPC"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "original", "lang": "en", "tweet_text": "No.  Lower #oil prices are good for the S&amp;P. https://t.co/VGldh92sC9", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.0005817639975339572, "ret_signed_m1d": -0.0005817639975339572, "alpha_spy_m1d": 0.0005908124248211744, "alpha_c_m1d": null, "bench_spy_m1d": -0.0011725764223551316, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.0040886954080285864, "ret_signed_p1d": 0.0040886954080285864, "alpha_spy_p1d": 0.00015146236999874496, "alpha_c_p1d": null, "bench_spy_p1d": 0.0039372330380298415, "bench_c_p1d": null, "ret_p1w": 0.0020589582153678343, "ret_signed_p1w": 0.0020589582153678343, "alpha_spy_p1w": -0.0005381032535793917, "alpha_c_p1w": null, "bench_spy_p1w": 0.002597061468947226, "bench_c_p1w": null, "ret_p1m": 0.020736402467071757, "ret_signed_p1m": 0.020736402467071757, "alpha_spy_p1m": -0.0019224024100206183, "alpha_c_p1m": null, "bench_spy_p1m": 0.022658804877092376, "bench_c_p1m": null, "ret_p3m": 0.03633787430750779, "ret_signed_p3m": 0.03633787430750779, "alpha_spy_p3m": -0.004565806978113596, "alpha_c_p3m": null, "bench_spy_p3m": 0.040903681285621385, "bench_c_p3m": null, "ret_p6m": 0.0801625628839473, "ret_signed_p6m": 0.0801625628839473, "alpha_spy_p6m": -0.00985224503904325, "alpha_c_p6m": null, "bench_spy_p6m": 0.09001480792299055, "bench_c_p6m": null, "price_path": [-0.0406, -0.0404, -0.0397, -0.0342, -0.0307, -0.0256, -0.0217, -0.0169, -0.0177, -0.0161, -0.0161, -0.0101, -0.0112, -0.0108, -0.0093, -0.0083, -0.0108, 0.0027, -0.0032, -0.0027, -0.0059, -0.0088, -0.0111, -0.0103, -0.0071, -0.0067, -0.0101, -0.0018, -0.0034, -0.0047, -0.0067, -0.019, -0.0172, -0.0182, -0.0191, -0.0201, -0.013, -0.0119, -0.009, -0.0112, -0.0128, -0.0123, -0.0153, -0.0134, -0.0142, -0.0135, -0.015, -0.0187, -0.0253, -0.0253, -0.017, -0.0198, -0.0215, -0.0141, -0.0171, -0.0064, -0.0004, -0.0009, -0.0003, -0.0022, -0.0005, 0.0007, -0.0006, 0.0, 0.0041, 0.0041, 0.0031, 0.0042, 0.0021, 0.0006, 0.0054, 0.0047, -0.0136, -0.01, -0.0033, 0.0019, 0.0037, 0.0062, 0.0107, 0.011, 0.011, 0.0098, 0.0093, 0.017, 0.0207, 0.0195, 0.0167, 0.0183, 0.0185, 0.0177, 0.0167, 0.0213, 0.0203, 0.018, 0.0183, 0.0268, 0.0199, 0.0193, 0.0188, 0.0204, 0.0207, 0.0125, 0.0214, 0.0126, 0.0142, 0.0165, 0.0165, 0.018, 0.0085, 0.0149, 0.0159, 0.0151, 0.0225, 0.0244, 0.0292, 0.0291, 0.0298, 0.0353, 0.0351, 0.0347, 0.0336, 0.0367, 0.037, 0.0359, 0.0346, 0.0338, 0.0363, 0.0368, 0.0346, 0.0365, 0.0382, 0.0357, 0.0354, 0.0204, 0.0217, 0.0319, 0.0314, 0.0329, 0.0169, 0.0151, 0.0163, 0.0264, 0.0228, 0.0207, 0.0224, 0.0229, 0.0238, 0.0285, 0.0344, 0.0364, 0.0364, 0.0286, 0.0318, 0.0316, 0.0301, 0.0413, 0.0448, 0.0456, 0.0444, 0.0463, 0.0479, 0.049, 0.0497, 0.0465, 0.0472, 0.0448, 0.0449, 0.0492, 0.0504, 0.0543, 0.0584, 0.0607, 0.062, 0.068, 0.0669, 0.065, 0.0674, 0.0694, 0.0675, 0.0685, 0.0704, 0.0711, 0.0719, 0.0722, 0.0777, 0.0734, 0.0752, 0.0702, 0.0715, 0.0802]}
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{"unit_id": "quote:921542385145966592", "ticker_idx": 0, "ts": "2017-10-21T01:03:20+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Another important milestone for cryptoassets...starting with #bitcoin. Now I understand why it broke out to a new high today.", "tweet_type": "news_reaction", "timeline": "unspecified", "summary": "Bullish BTC: institutional trading milestone explains new high breakout, implying continued upward momentum.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Another important milestone for cryptoassets...starting with #bitcoin.  Now I understand why it broke out to a new high today. https://t.co/FqK6pF8RnX", "reply_text": null, "parent_text": null, "quoted_text": "It's official! LedgerX's institutional bitcoin trading platform is open for business, and traded $1m its first week: https://t.co/LM38SLJzIf https://t.co/6AZl31k3LO", "parent_author": null, "ret_m1d": 0.013680606358264624, "ret_signed_m1d": 0.013680606358264624, "alpha_spy_m1d": 0.009776047708308866, "alpha_c_m1d": null, "bench_spy_m1d": 0.0039045586499557583, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.06807047502757235, "ret_signed_p1d": -0.06807047502757235, "alpha_spy_p1d": -0.06982772712834173, "alpha_c_p1d": null, "bench_spy_p1d": 0.0017572521007693798, "bench_c_p1d": null, "ret_p1w": 0.03376039857409796, "ret_signed_p1w": 0.03376039857409796, "alpha_spy_p1w": 0.031261410279949775, "alpha_c_p1w": null, "bench_spy_p1w": 0.0024989882941481856, "bench_c_p1w": null, "ret_p1m": 0.3610159325071973, "ret_signed_p1m": 0.3610159325071973, "alpha_spy_p1m": 0.3458661306436992, "alpha_c_p1m": null, "bench_spy_p1m": 0.015149801863498125, "bench_c_p1m": null, "ret_p3m": 0.9349547293828597, "ret_signed_p3m": 0.9349547293828597, "alpha_spy_p3m": 0.8394612632201002, "alpha_c_p3m": null, "bench_spy_p3m": 0.09549346616275955, "bench_c_p3m": null, "ret_p6m": 0.3324896595759921, "ret_signed_p6m": 0.3324896595759921, "alpha_spy_p6m": 0.2678739050502583, "alpha_c_p6m": null, "bench_spy_p6m": 0.06461575452573376, "bench_c_p6m": null, "price_path": [-0.5735, -0.5495, -0.5263, -0.5151, -0.5416, -0.5429, -0.5271, -0.5117, -0.4302, -0.4233, -0.4364, -0.4298, -0.3844, -0.2707, -0.2948, -0.262, -0.2696, -0.2984, -0.3252, -0.3085, -0.3, -0.2691, -0.2628, -0.261, -0.2279, -0.2302, -0.2069, -0.1751, -0.2857, -0.262, -0.2248, -0.2243, -0.2869, -0.2983, -0.3034, -0.3453, -0.468, -0.3866, -0.3145, -0.3382, -0.3414, -0.3877, -0.3878, -0.338, -0.3437, -0.2917, -0.296, -0.298, -0.2565, -0.272, -0.2868, -0.2701, -0.263, -0.1953, -0.1936, -0.1861, -0.0815, -0.0477, -0.0345, -0.0548, -0.0573, -0.0374, 0.0137, 0.0, -0.0681, -0.0303, -0.0043, -0.0252, 0.0338, 0.0907, 0.1411, 0.1936, 0.2154, 0.1842, 0.2047, 0.2579, 0.2046, 0.116, 0.1061, 0.119, 0.2336, 0.3274, 0.2999, 0.3828, 0.361, 0.3918, 0.3555, 0.3918, 0.6556, 0.6962, 0.6675, 0.7256, 0.8508, 0.9657, 1.0095, 1.4099, 2.0183, 1.794, 1.856, 1.9367, 1.7668, 1.7931, 1.9858, 2.2231, 1.9976, 1.8033, 1.6648, 1.3324, 1.3652, 1.7148, 1.6708, 1.463, 1.4714, 1.3029, 1.5264, 1.5633, 1.6304, 1.939, 1.5581, 1.4611, 1.5249, 1.2606, 1.3575, 1.3304, 0.9376, 0.8867, 0.935, 0.9573, 0.8433, 0.8327, 0.9155, 0.8986, 0.8838, 0.9049, 0.7042, 0.7235, 0.5464, 0.4891, 0.1728, 0.3075, 0.2851, 0.3938, 0.4733, 0.5052, 0.4499, 0.601, 0.7143, 0.7257, 0.8929, 0.9229, 0.8027, 0.6871, 0.737, 0.7481, 0.8086, 0.7533, 0.8466, 0.8694, 0.9515, 0.8178, 0.6804, 0.5842, 0.5745, 0.5522, 0.5505, 0.3945, 0.3997, 0.4061, 0.4553, 0.503, 0.5057, 0.4718, 0.4973, 0.3843, 0.3208, 0.3413, 0.2083, 0.1619, 0.1945, 0.2573, 0.1557, 0.1486, 0.119, 0.1417, 0.1525, 0.175, 0.3303, 0.3315, 0.3589, 0.3325]}
{"unit_id": "quote:1851084484206116978", "ticker_idx": 0, "ts": "2024-10-29T02:11:47+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Tesla Cybercab", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish on Tesla Cybercab; endorses forecasts implying a $15,000 production cost as compelling.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "in", "tweet_text": "Tesla Cybercab", "reply_text": null, "parent_text": null, "quoted_text": "Forecasts that have been made:\n-5.5 miles/kWh\n-~$50/kWh \n-5x faster manufacturing line\n\nNot to be too 5 biased, but that strikes me as a car that could be made for $15,000", "parent_author": null, "ret_m1d": 0.01152135048755576, "ret_signed_m1d": 0.01152135048755576, "alpha_spy_m1d": 0.013137128339352988, "alpha_c_m1d": 0.00627737931431116, "bench_spy_m1d": -0.0016157778517972288, "bench_c_m1d": 0.005243971173244599, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.007590942139718337, "ret_signed_p1d": -0.007590942139718337, "alpha_spy_p1d": -0.004565817274691297, "alpha_c_p1d": -0.0061925395380505455, "bench_spy_p1d": -0.00302512486502704, "bench_c_p1d": -0.001398402601667792, "ret_p1w": -0.03113435155023825, "ret_signed_p1w": -0.03113435155023825, "alpha_spy_p1w": -0.022419616862990543, "alpha_c_p1w": -0.04461880475799873, "bench_spy_p1w": -0.008714734687247705, "bench_c_p1w": 0.013484453207760483, "ret_p1m": 0.28271435242277376, "ret_signed_p1m": 0.28271435242277376, "alpha_spy_p1m": 0.253390066875848, "alpha_c_p1m": 0.18377810143196216, "bench_spy_p1m": 0.029324285546925788, "bench_c_p1m": 0.0989362509908116, "ret_p3m": 0.5666615435578122, "ret_signed_p3m": 0.5666615435578122, "alpha_spy_p3m": 0.5181092879885314, "alpha_c_p3m": 0.4157555218920632, "bench_spy_p3m": 0.04855225556928078, "bench_c_p3m": 0.15090602166574896, "ret_p6m": -0.033831627204813364, "ret_signed_p6m": -0.033831627204813364, "alpha_spy_p6m": 0.03996371322505621, "alpha_c_p6m": 0.011238652518919978, "bench_spy_p6m": -0.07379534042986957, "bench_c_p6m": -0.04507027972373334, "price_path": [-0.1644, -0.1998, -0.2337, -0.2269, -0.2611, -0.2338, -0.2293, -0.239, -0.1992, -0.224, -0.1749, -0.1672, -0.1418, -0.148, -0.1397, -0.1883, -0.151, -0.1784, -0.1939, -0.2072, -0.2051, -0.175, -0.175, -0.1885, -0.1546, -0.1131, -0.188, -0.1667, -0.1285, -0.121, -0.1145, -0.1126, -0.1262, -0.122, -0.1245, -0.0601, -0.082, -0.0367, -0.0202, -0.0096, -0.0204, 0.0036, 0.0081, -0.0058, -0.0405, -0.0727, -0.0364, -0.072, -0.0579, -0.0712, -0.08, -0.1608, -0.1555, -0.1539, -0.1472, -0.1489, -0.1496, -0.1567, -0.1601, -0.1767, 0.0037, 0.0373, 0.0115, 0.0, -0.0076, -0.0373, -0.0406, -0.0643, -0.0311, 0.1118, 0.1441, 0.2377, 0.3486, 0.2658, 0.2725, 0.1991, 0.2358, 0.3053, 0.3332, 0.3179, 0.3087, 0.3585, 0.3047, 0.3033, 0.2827, 0.2827, 0.33, 0.376, 0.3541, 0.3792, 0.4237, 0.4998, 0.502, 0.5451, 0.6368, 0.6111, 0.6809, 0.7841, 0.849, 0.6959, 0.6807, 0.6225, 0.6592, 0.7813, 0.7813, 0.7499, 0.6633, 0.6084, 0.5561, 0.5561, 0.4615, 0.5815, 0.5839, 0.5196, 0.5218, 0.5218, 0.521, 0.5541, 0.5273, 0.65, 0.5946, 0.6434, 0.6434, 0.6341, 0.5995, 0.589, 0.5667, 0.5303, 0.5339, 0.4993, 0.5424, 0.559, 0.4784, 0.5113, 0.4572, 0.4424, 0.3934, 0.3515, 0.2658, 0.2967, 0.3715, 0.3711, 0.3711, 0.3645, 0.3893, 0.3656, 0.3016, 0.2736, 0.1668, 0.1205, 0.0864, 0.1289, 0.0968, 0.0482, 0.0754, 0.0151, 0.0121, -0.144, -0.1115, -0.044, -0.0726, -0.0368, -0.0829, -0.1318, -0.0912, -0.0896, -0.0417, 0.0727, 0.1103, 0.0483, 0.0524, 0.0155, -0.0014, 0.0344, 0.0896, 0.0299, -0.0774, -0.1011, -0.1451, 0.0489, -0.0274, -0.0278, -0.0276, -0.0208, -0.0692, -0.0699, -0.0699, -0.1234, -0.083, -0.0338]}
{"unit_id": "quote:937088839126003712", "ticker_idx": 0, "ts": "2017-12-02T22:39:24+00:00", "symbol": "oil", "kind": "commodity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "the #oil price will peak whenever the #Aramco deal is done in 2018 or 2019, at the latest", "tweet_type": "prediction", "timeline": "months", "summary": "Oil price will peak when the Aramco IPO closes in 2018–2019, implying a top and decline thereafter.", "resolved_tickers": ["USO"], "resolution_method": "etf", "resolution_reason": "Oil commodity; USO is standard ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Another clue that the #oil price will peak whenever the #Aramco deal is done in 2018 or 2019, at the latest. https://t.co/wK6gmhjmj7", "reply_text": null, "parent_text": null, "quoted_text": "OPEC extends oil production cut through end of 2018 https://t.co/zAuXOmvWa8 via @ReutersTV #video #oott #opec #oil #ReutersEnergy #ReutersTV #shale #permian #texas #saudi #russia https://t.co/Rla3YWx741", "parent_author": null, "ret_m1d": 0.015665823216832298, "ret_signed_m1d": -0.015665823216832298, "alpha_spy_m1d": -0.014454314430903281, "alpha_c_m1d": -0.014454314430903281, "bench_spy_m1d": 0.0012115087859290163, "bench_c_m1d": 0.0012115087859290163, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.004351626782495455, "ret_signed_p1d": -0.004351626782495455, "alpha_spy_p1d": -0.007948221337837125, "alpha_c_p1d": -0.007948221337837125, "bench_spy_p1d": -0.00359659455534167, "bench_c_p1d": -0.00359659455534167, "ret_p1w": 0.009573595521565226, "ret_signed_p1w": -0.009573595521565226, "alpha_spy_p1w": -0.0013580288903631832, "alpha_c_p1w": -0.0013580288903631832, "bench_spy_p1w": 0.008215566631202043, "bench_c_p1w": 0.008215566631202043, "ret_p1m": 0.05047867147604057, "ret_signed_p1m": -0.05047867147604057, "alpha_spy_p1m": -0.027749011893847264, "alpha_c_p1m": -0.027749011893847264, "bench_spy_p1m": 0.022729659582193307, "bench_c_p1m": 0.022729659582193307, "ret_p3m": 0.07484774825786356, "ret_signed_p3m": -0.07484774825786356, "alpha_spy_p3m": -0.056189721334331866, "alpha_c_p3m": -0.056189721334331866, "bench_spy_p3m": 0.01865802692353169, "bench_c_p3m": 0.01865802692353169, "ret_p6m": 0.1758050912099447, "ret_signed_p6m": -0.1758050912099447, "alpha_spy_p6m": -0.1480241689407178, "alpha_c_p6m": -0.1480241689407178, "bench_spy_p6m": 0.027780922269226904, "bench_c_p6m": 0.027780922269226904, "price_path": [-0.1262, -0.1271, -0.1532, -0.1453, -0.141, -0.1236, -0.1184, -0.1123, -0.1149, -0.1201, -0.1088, -0.1079, -0.1088, -0.0818, -0.087, -0.0844, -0.0923, -0.0923, -0.1114, -0.114, -0.1227, -0.1079, -0.1323, -0.1297, -0.1053, -0.0983, -0.1097, -0.0975, -0.0896, -0.087, -0.0879, -0.0992, -0.0923, -0.0931, -0.0827, -0.0879, -0.0801, -0.0566, -0.054, -0.0487, -0.0513, -0.0435, -0.027, 0.0017, 0.0, -0.007, -0.0026, -0.0061, -0.0096, -0.0313, -0.0348, -0.0366, -0.0122, -0.0183, -0.0078, 0.0096, 0.0096, 0.0261, 0.0087, 0.0078, -0.0017, -0.0017, 0.0157, 0.0, 0.0044, -0.0252, -0.0139, 0.0, 0.0096, -0.0044, -0.0139, -0.0052, -0.0026, -0.0044, 0.0017, 0.0104, 0.0131, 0.0148, 0.0148, 0.04, 0.0374, 0.0418, 0.0453, 0.0453, 0.0505, 0.074, 0.0766, 0.0714, 0.0775, 0.094, 0.1036, 0.1053, 0.1201, 0.1201, 0.1105, 0.1123, 0.1105, 0.107, 0.1123, 0.1288, 0.1506, 0.1366, 0.1523, 0.141, 0.1227, 0.1297, 0.1523, 0.1349, 0.1114, 0.1053, 0.0766, 0.0522, 0.0322, 0.0348, 0.0331, 0.0601, 0.0731, 0.0775, 0.0775, 0.0783, 0.0696, 0.0957, 0.1114, 0.1192, 0.101, 0.0766, 0.0748, 0.0766, 0.0957, 0.094, 0.0748, 0.0574, 0.0853, 0.0766, 0.0653, 0.0688, 0.074, 0.0923, 0.0923, 0.1149, 0.1471, 0.1271, 0.1558, 0.1497, 0.1384, 0.1349, 0.1393, 0.1393, 0.1088, 0.1149, 0.1158, 0.1166, 0.0888, 0.1114, 0.1532, 0.1706, 0.1767, 0.1793, 0.1645, 0.1671, 0.208, 0.1984, 0.1967, 0.2115, 0.1906, 0.1941, 0.1984, 0.195, 0.201, 0.1845, 0.1897, 0.2028, 0.2263, 0.2272, 0.2237, 0.2507, 0.2541, 0.2402, 0.2515, 0.2533, 0.2585, 0.2611, 0.2559, 0.2768, 0.2672, 0.2628, 0.2437, 0.1906, 0.1906, 0.1758]}
{"unit_id": "quote:912654791930712065", "ticker_idx": 0, "ts": "2017-09-26T12:27:13+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Good news! Draghi suggests that #bitcoin is a global currency, and that the ECB's only role is to prevent cyberfraud. Open source will help.", "tweet_type": "news_reaction", "timeline": "unspecified", "summary": "Frames ECB having no power to regulate Bitcoin as bullish; endorses bitcoin as global currency narrative.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Good news! Draghi suggests that #bitcoin is a global currency, and that the ECB's only role is to prevent cyberfraud. Open source will help. https://t.co/B4Ja29BCXw", "reply_text": null, "parent_text": null, "quoted_text": "Mario Draghi: European Central Bank Has 'No Power' to Regulate Bitcoin https://t.co/1DaXOglbHc https://t.co/5yL7nM8PDa", "parent_author": null, "ret_m1d": 0.008663139197943481, "ret_signed_m1d": 0.008663139197943481, "alpha_spy_m1d": 0.009265258767962803, "alpha_c_m1d": null, "bench_spy_m1d": -0.0006021195700193216, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.0792117400755914, "ret_signed_p1d": 0.0792117400755914, "alpha_spy_p1d": 0.07531709609951198, "alpha_c_p1d": null, "bench_spy_p1d": 0.003894643976079415, "bench_c_p1d": null, "ret_p1w": 0.10922190248726316, "ret_signed_p1w": 0.10922190248726316, "alpha_spy_p1w": 0.09404606881189848, "alpha_c_p1w": null, "bench_spy_p1w": 0.01517583367536468, "bench_c_p1w": null, "ret_p1m": 0.4774621142507971, "ret_signed_p1m": 0.4774621142507971, "alpha_spy_p1m": 0.4525304324707451, "alpha_c_p1m": null, "bench_spy_p1m": 0.024931681780052006, "bench_c_p1m": null, "ret_p3m": 2.553585740659921, "ret_signed_p3m": 2.553585740659921, "alpha_spy_p3m": 2.474103508923707, "alpha_c_p3m": null, "bench_spy_p3m": 0.0794822317362136, "bench_c_p3m": null, "ret_p6m": 1.2940588717377195, "ret_signed_p6m": 1.2940588717377195, "alpha_spy_p6m": 1.198423507570109, "alpha_c_p6m": null, "bench_spy_p6m": 0.09563536416761043, "bench_c_p6m": null, "price_path": [-0.3476, -0.3626, -0.3413, -0.3316, -0.3315, -0.3298, -0.3529, -0.3905, -0.3994, -0.3837, -0.3942, -0.4262, -0.4275, -0.4042, -0.4159, -0.2761, -0.3146, -0.2922, -0.3381, -0.3501, -0.3136, -0.2783, -0.2613, -0.3016, -0.3036, -0.2794, -0.256, -0.1319, -0.1214, -0.1413, -0.1313, -0.0621, 0.1112, 0.0744, 0.1244, 0.1129, 0.0689, 0.0281, 0.0535, 0.0666, 0.1136, 0.1231, 0.126, 0.1764, 0.1729, 0.2084, 0.2568, 0.0884, 0.1244, 0.1811, 0.1818, 0.0864, 0.0691, 0.0613, -0.0025, -0.1894, -0.0655, 0.0444, 0.0084, 0.0035, -0.0671, -0.0672, 0.0087, 0.0, 0.0792, 0.0725, 0.0696, 0.1328, 0.1092, 0.0866, 0.112, 0.1229, 0.226, 0.2286, 0.24, 0.3994, 0.4508, 0.471, 0.4401, 0.4363, 0.4666, 0.5444, 0.5236, 0.4199, 0.4775, 0.517, 0.4852, 0.575, 0.6618, 0.7386, 0.8186, 0.8518, 0.8042, 0.8355, 0.9165, 0.8353, 0.7003, 0.6852, 0.7048, 0.8795, 1.0223, 0.9805, 1.1069, 1.0736, 1.1205, 1.0653, 1.1205, 1.5225, 1.5842, 1.5405, 1.6292, 1.8198, 1.9949, 2.0616, 2.6717, 3.5987, 3.2569, 3.3513, 3.4743, 3.2155, 3.2555, 3.5492, 3.9107, 3.5671, 3.2711, 3.06, 2.5536, 2.6036, 3.1363, 3.0691, 2.7526, 2.7654, 2.5087, 2.8491, 2.9054, 3.0077, 3.4779, 2.8974, 2.7498, 2.8469, 2.4441, 2.5918, 2.5505, 1.9521, 1.8745, 1.9481, 1.9821, 1.8084, 1.7922, 1.9184, 1.8927, 1.8701, 1.9022, 1.5965, 1.6259, 1.356, 1.2687, 0.7869, 0.9921, 0.958, 1.1235, 1.2447, 1.2934, 1.209, 1.4393, 1.6119, 1.6292, 1.8839, 1.9298, 1.7465, 1.5704, 1.6465, 1.6634, 1.7556, 1.6714, 1.8135, 1.8483, 1.9733, 1.7695, 1.5603, 1.4137, 1.3989, 1.3649, 1.3623, 1.1246, 1.1326, 1.1422, 1.2173, 1.29, 1.2941]}
{"unit_id": "quote:1626809644197769216", "ticker_idx": 0, "ts": "2023-02-18T05:03:38+00:00", "symbol": "growth stocks", "kind": "sector", "geography": "US", "sub_sector": null, "direction": "long", "conviction": "high", "explicit": false, "explicit_audit": "kept_implicit_alias_present", "polarity_reversed": false, "quote": "growth stocks in general and innovation-based strategies in particular should make up for lost time", "tweet_type": "prediction", "timeline": "years", "summary": "Bullish on growth/innovation stocks over 5-year horizon as brutal rate hike cycle nears end; expects catch-up rally.", "resolved_tickers": ["IWF"], "resolution_method": "etf", "resolution_reason": "US growth stocks; IWF Russell 1000 Growth ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "One more thought: @ARKInvest has a five year investment time horizon. Now that the most brutal interest rate increase in history is near an end, growth stocks in general and innovation-based strategies in particular should make up for lost time.", "reply_text": null, "parent_text": null, "quoted_text": "Thank you, @EricBalchunas, for defending active equity management. Upon hearing why I founded @ARKInvest in 2014, a friend who was not in the investment business said, “Oh, you mean the future of investing is investing in the future?” Yes! Please see ARK’s Big Ideas 2023.", "parent_author": null, "ret_m1d": 0.0, "ret_signed_m1d": 0.0, "alpha_spy_m1d": 0.0, "alpha_c_m1d": 0.0, "bench_spy_m1d": 0.0, "bench_c_m1d": 0.0, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.022905948570559054, "ret_signed_p1d": -0.022905948570559054, "alpha_spy_p1d": -0.002844964805772676, "alpha_c_p1d": -0.002844964805772676, "bench_spy_p1d": -0.020060983764786378, "bench_c_p1d": -0.020060983764786378, "ret_p1w": -0.02307586323578492, "ret_signed_p1w": -0.02307586323578492, "alpha_spy_p1w": 0.00032454014909621964, "alpha_c_p1w": 0.00032454014909621964, "bench_spy_p1w": -0.02340040338488114, "bench_c_p1w": -0.02340040338488114, "ret_p1m": 0.011474155880439652, "ret_signed_p1m": 0.011474155880439652, "alpha_spy_p1m": 0.028238867809183943, "alpha_c_p1m": 0.028238867809183943, "bench_spy_p1m": -0.01676471192874429, "bench_c_p1m": -0.01676471192874429, "ret_p3m": 0.08748117576461278, "ret_signed_p3m": 0.08748117576461278, "alpha_spy_p3m": 0.054161003026524046, "alpha_c_p3m": 0.054161003026524046, "bench_spy_p3m": 0.03332017273808874, "bench_c_p3m": 0.03332017273808874, "ret_p6m": 0.1670209030010954, "ret_signed_p6m": 0.1670209030010954, "alpha_spy_p6m": 0.07132857609190957, "alpha_c_p6m": 0.07132857609190957, "bench_spy_p6m": 0.09569232690918583, "bench_c_p6m": 0.09569232690918583, "price_path": [-0.0288, -0.0288, -0.0312, -0.0465, -0.0527, -0.014, -0.0128, -0.0151, -0.033, -0.0504, -0.054, -0.0433, -0.0504, -0.0363, -0.0274, -0.0336, -0.0627, -0.074, -0.0859, -0.086, -0.0714, -0.0891, -0.0858, -0.0858, -0.0945, -0.1064, -0.087, -0.0895, -0.0895, -0.0964, -0.0932, -0.1079, -0.0867, -0.082, -0.0752, -0.0588, -0.0548, -0.0496, -0.0496, -0.0481, -0.0605, -0.0688, -0.0463, -0.0311, -0.0333, -0.0344, -0.0206, -0.0132, -0.0297, -0.0137, 0.0035, 0.0279, 0.0138, 0.0061, 0.0227, 0.0096, 0.0021, -0.0019, 0.0124, 0.0167, 0.0239, 0.0057, 0.0, 0.0, -0.0229, -0.0221, -0.0139, -0.0292, -0.0231, -0.0255, -0.0313, -0.0235, -0.0054, -0.0038, -0.0168, -0.0134, -0.0307, -0.0475, -0.0419, -0.0233, -0.0244, -0.0023, -0.0085, -0.0036, 0.0115, -0.0034, 0.0044, 0.0082, 0.005, 0.0013, 0.0167, 0.0241, 0.0406, 0.042, 0.0379, 0.0285, 0.0347, 0.0347, 0.0349, 0.0313, 0.0253, 0.0437, 0.0403, 0.0423, 0.0433, 0.0442, 0.0387, 0.0395, 0.0387, 0.0193, 0.0227, 0.0435, 0.0513, 0.0513, 0.0419, 0.0367, 0.031, 0.0526, 0.0543, 0.0496, 0.0595, 0.0604, 0.0581, 0.0619, 0.0593, 0.0719, 0.0875, 0.0848, 0.086, 0.0707, 0.0645, 0.0839, 0.1034, 0.1034, 0.1063, 0.1006, 0.113, 0.1268, 0.1256, 0.1263, 0.1117, 0.1221, 0.126, 0.1421, 0.1492, 0.1535, 0.1684, 0.1614, 0.1614, 0.1594, 0.1489, 0.1591, 0.1485, 0.1361, 0.1535, 0.1558, 0.157, 0.1738, 0.1726, 0.1726, 0.1742, 0.1663, 0.1612, 0.1622, 0.168, 0.18, 0.1952, 0.1982, 0.2072, 0.2173, 0.2172, 0.1952, 0.1915, 0.1954, 0.2023, 0.1997, 0.1929, 0.2117, 0.2141, 0.2107, 0.1872, 0.1839, 0.1782, 0.1868, 0.1811, 0.1689, 0.1705, 0.1656, 0.1782, 0.167]}
{"unit_id": "quote:1800895188728213701", "ticker_idx": 0, "ts": "2024-06-12T14:17:26+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Tesla's autonomous technology platform strategy is likely to account for more than 85% of its enterprise value in the next five years", "tweet_type": "analysis", "timeline": "years", "summary": "Long TSLA: ARK sees autonomous platform driving >85% of enterprise value over next 5 years.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "#Tesla's autonomous technology platform strategy is likely to account for more than 85% of its enterprise value in the next five years, according to @ARKInvest's autonomous technology team. Great work, @TashaARK, and @skorusARK, @DMaguireARK!", "reply_text": null, "parent_text": null, "quoted_text": "Our updated Tesla model is now out! https://t.co/C8CazW12CX Autonomous driving likely will be one of the most life-changing AI unlocks in history, and quite meaningful for Tesla shareholders: https://t.co/9jp5QTTmDi", "parent_author": null, "ret_m1d": -0.03739629914319598, "ret_signed_m1d": -0.03739629914319598, "alpha_spy_m1d": -0.02925023918876757, "alpha_c_m1d": -0.02709609152704462, "bench_spy_m1d": -0.008146059954428408, "bench_c_m1d": -0.010300207616151358, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.029217711832219218, "ret_signed_p1d": 0.029217711832219218, "alpha_spy_p1d": 0.027204063463082795, "alpha_c_p1d": 0.028438406168426855, "bench_spy_p1d": 0.0020136483691364226, "bench_c_p1d": 0.0007793056637923623, "ret_p1w": 0.04269844667432143, "ret_signed_p1w": 0.04269844667432143, "alpha_spy_p1w": 0.02952785129915303, "alpha_c_p1w": 0.0357945811679139, "bench_spy_p1w": 0.013170595375168404, "bench_c_p1w": 0.006903865506407536, "ret_p1m": 0.3595239884198791, "ret_signed_p1m": 0.3595239884198791, "alpha_spy_p1m": 0.32827825425703416, "alpha_c_p1m": 0.3048687536429253, "bench_spy_p1m": 0.03124573416284493, "bench_c_p1m": 0.054655234776953776, "ret_p3m": 0.21986582696417223, "ret_signed_p3m": 0.21986582696417223, "alpha_spy_p3m": 0.20728121758493168, "alpha_c_p3m": 0.1873058644427188, "bench_spy_p3m": 0.012584609379240552, "bench_c_p3m": 0.032559962521453434, "ret_p6m": 1.0840995218384704, "ret_signed_p6m": 1.0840995218384704, "alpha_spy_p6m": 0.9564139355464314, "alpha_c_p6m": 0.8093267631715781, "bench_spy_p6m": 0.12768558629203897, "bench_c_p6m": 0.2747727586668922, "price_path": [-0.0774, -0.0197, -0.0337, -0.0092, -0.0252, -0.0364, -0.0263, 0.0021, 0.0143, -0.0085, -0.0085, -0.0117, -0.0601, -0.0503, -0.0349, -0.0699, -0.0243, -0.0023, -0.0312, -0.0152, -0.0352, -0.0892, -0.1138, -0.1232, -0.1543, -0.1706, -0.1988, -0.1839, -0.0855, -0.0401, -0.0508, 0.0945, 0.0338, 0.0152, 0.0153, 0.022, 0.0421, 0.0029, -0.0145, -0.03, -0.0497, -0.0305, 0.0015, -0.0186, -0.0138, 0.001, -0.0132, 0.0525, 0.0159, -0.02, 0.011, 0.011, -0.003, -0.0062, 0.0085, 0.0045, -0.0056, -0.0142, -0.0129, 0.0037, 0.0011, -0.0197, -0.0374, 0.0, 0.0292, 0.0041, 0.0573, 0.0427, 0.0427, 0.0241, 0.0323, 0.0298, 0.0567, 0.1076, 0.1135, 0.1161, 0.1837, 0.3044, 0.3898, 0.3898, 0.4187, 0.4267, 0.4797, 0.4849, 0.3595, 0.4001, 0.425, 0.4471, 0.4017, 0.4058, 0.3492, 0.4186, 0.3897, 0.2183, 0.2423, 0.2398, 0.3092, 0.2557, 0.309, 0.2232, 0.1714, 0.1218, 0.1317, 0.0816, 0.1216, 0.1281, 0.1139, 0.1723, 0.1359, 0.2079, 0.219, 0.2562, 0.2471, 0.2593, 0.1882, 0.2427, 0.2026, 0.18, 0.1605, 0.1635, 0.2077, 0.2077, 0.1879, 0.2376, 0.2983, 0.1886, 0.2199, 0.2757, 0.2868, 0.2962, 0.2989, 0.2791, 0.2853, 0.2815, 0.3758, 0.3438, 0.4101, 0.4342, 0.4497, 0.4339, 0.4691, 0.4757, 0.4554, 0.4046, 0.3574, 0.4106, 0.3584, 0.3791, 0.3596, 0.3468, 0.2285, 0.2362, 0.2385, 0.2484, 0.2459, 0.2449, 0.2344, 0.2295, 0.2051, 0.4692, 0.5184, 0.4807, 0.4638, 0.4527, 0.4093, 0.4044, 0.3697, 0.4182, 0.6274, 0.6747, 0.8118, 0.9742, 0.8528, 0.8627, 0.7552, 0.809, 0.9107, 0.9516, 0.9292, 0.9157, 0.9886, 0.9098, 0.9078, 0.8777, 0.8777, 0.9469, 1.0142, 0.9822, 1.0189, 1.0841]}
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{"unit_id": "quote:1183854813613826048", "ticker_idx": 3, "ts": "2019-10-14T21:19:17+00:00", "symbol": "MYGN", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "not $MYGN - are the companies leveraging #AI most effectively in the #genomics space", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish on NVTA, GH, ADPT as top AI-in-genomics plays; explicitly excludes MYGN as a laggard.", "resolved_tickers": ["MYGN"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLV", "bench_c_reason": "industry='Diagnostics & Research'", "bench_c_industry": "Diagnostics & Research", "unit_kind": "quote", "lang": "en", "tweet_text": "In our view, $NVTA, $GH, #Grail, $ADPT, and #Tempus - not $MYGN - are the companies leveraging #AI most effectively in the #genomics space.", "reply_text": null, "parent_text": null, "quoted_text": "Connecting newly discovered mutations to the diseases they may cause is a gating factor to the clinical utility of sequencing-based diagnostics. Luckily, with each release of new AI tools for genetics researchers, our knowledge of disease biology accelerates. https://t.co/pblfx1URHe", "parent_author": null, "ret_m1d": -0.0057277653148911645, "ret_signed_m1d": 0.0057277653148911645, "alpha_spy_m1d": 0.006843532890980275, "alpha_c_m1d": 0.006172655957487616, "bench_spy_m1d": 0.0011157675760891106, "bench_c_m1d": 0.0004448906425964516, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.004716960519169033, "ret_signed_p1d": -0.004716960519169033, "alpha_spy_p1d": 0.00518411602645541, "alpha_c_p1d": 0.013525643624672234, "bench_spy_p1d": 0.009901076545624443, "bench_c_p1d": 0.018242604143841268, "ret_p1w": 0.053908368093605, "ret_signed_p1w": -0.053908368093605, "alpha_spy_p1w": -0.04025699715656095, "alpha_c_p1w": -0.03433109202197415, "bench_spy_p1w": 0.01365137093704405, "bench_c_p1w": 0.019577276071630845, "ret_p1m": -0.18463610127661256, "ret_signed_p1m": 0.18463610127661256, "alpha_spy_p1m": 0.22873205229895166, "alpha_c_p1m": 0.24481363428018155, "bench_spy_p1m": 0.0440959510223391, "bench_c_p1m": 0.060177533003568984, "ret_p3m": -0.052897563297882866, "ret_signed_p3m": 0.052897563297882866, "alpha_spy_p3m": 0.16205841196612247, "alpha_c_p3m": 0.20826185974195577, "bench_spy_p3m": 0.10916084866823961, "bench_c_p3m": 0.1553642964440729, "ret_p6m": -0.5016846425276533, "ret_signed_p6m": 0.5016846425276533, "alpha_spy_p6m": 0.40724415857934193, "alpha_c_p6m": 0.5249484942803735, "bench_spy_p6m": -0.0944404839483114, "bench_c_p6m": 0.023263851752720166, "price_path": [-0.1139, -0.1011, -0.0394, -0.066, -0.0441, -0.0317, -0.0515, -0.0253, -0.0327, -0.0057, -0.0182, 0.5165, 0.5863, 0.5243, 0.5104, 0.5128, 0.5451, 0.5323, 0.5256, 0.501, -0.1408, -0.2183, -0.1459, -0.155, -0.1749, -0.1546, -0.2247, -0.2423, -0.2399, -0.2561, -0.223, -0.2136, -0.2072, -0.2072, -0.2049, -0.2059, -0.1685, -0.183, -0.1765, -0.1449, -0.0903, -0.0694, -0.0761, -0.0398, -0.0391, -0.0633, -0.0576, -0.0802, -0.0633, 0.0421, 0.0084, -0.0303, -0.0408, -0.0354, -0.0468, -0.0519, -0.032, -0.0256, -0.0243, -0.0465, -0.0468, -0.0283, -0.0057, 0.0, 0.0047, 0.0206, 0.0249, 0.03, 0.0539, 0.0879, 0.065, 0.1014, 0.0937, 0.1247, 0.1176, 0.1253, 0.1344, 0.1388, 0.1826, -0.2948, -0.2183, -0.2072, -0.2035, -0.1833, -0.1846, -0.1873, -0.1742, -0.1664, -0.1661, -0.1533, -0.1577, -0.154, -0.1523, -0.0984, -0.1257, -0.122, -0.122, -0.1327, -0.1513, -0.1651, -0.1297, -0.1351, -0.1371, -0.157, -0.1445, -0.1725, -0.1577, -0.1381, -0.127, -0.0943, -0.0984, -0.0832, -0.0768, -0.1641, -0.0778, -0.0778, -0.095, -0.0977, -0.1065, -0.0825, -0.0825, -0.0785, -0.0954, -0.0708, -0.0654, -0.0502, -0.0529, -0.0526, -0.0522, -0.0128, -0.0111, -0.0256, -0.0323, -0.0323, -0.0428, -0.033, -0.03, -0.0357, -0.0421, -0.0216, -0.0327, -0.0472, -0.0684, -0.0344, -0.0398, -0.0051, -0.0131, -0.2918, -0.3322, -0.3356, -0.3282, -0.3416, -0.3457, -0.3457, -0.3379, -0.3265, -0.3299, -0.3379, -0.3706, -0.3939, -0.3959, -0.4178, -0.4063, -0.3915, -0.4367, -0.4043, -0.4185, -0.4485, -0.4923, -0.4838, -0.5273, -0.5775, -0.5519, -0.629, -0.6516, -0.6705, -0.591, -0.5751, -0.5829, -0.533, -0.5128, -0.4987, -0.5263, -0.5111, -0.5179, -0.5583, -0.5515, -0.5876, -0.4838, -0.5017]}
{"unit_id": "thread:1980319867241988136", "ticker_idx": 0, "ts": "2025-10-20T17:07:03+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "ARKInvest believes it could lead $TSLA to super-exponential growth... If Elon and team meet these goals... all Tesla shareholders... will become more wealthy than they ever dreamed possible", "tweet_type": "analysis", "timeline": "years", "summary": "Strongly bullish TSLA on robotaxi/humanoid robot/AI convergence thesis; projects 41% avg annual EBITDA growth over 10 years yielding super-exponential shareholder returns.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "self_thread", "lang": "en", "tweet_text": "Thank you for your important perspective, @EricBalchunas. Glass Lewis and ISS know nothing about the convergence among technologies involved in robotaxis and humanoid robots. @ARKInvest believes it could lead $TSLA to super-exponential growth, but only with superior execution.\n\n---\n\nWhat do Glass Lewis and ISS know about the convergence among the robots, energy storage, and artificial intelligence (AI) involved in robotaxis and humanoid robots? Have they researched the odds of Elon leading Tesla to 10 years of 41% EBITDA growth on average?\n\n---\n\nBased on preliminary research, no company in history has grown EBITDA 41% at an annual rate, or ~30-fold, over 10 years. If Elon and team meet these goals, the impact will be much greater than on Tesla alone: productivity and real GDP growth will accelerate meaningfully, auto fatalities will drop more than 50%, and all Tesla shareholders—importantly, its employees and their families—will become more wealthy than they ever dreamed possible.\n\n---\n\nI believe that history will decide that Glass Lewis and ISS have been menaces to innovation, enabling passive investors who care about “tracking errors” to their indexes but do not care about much else. As one of the first investors to put an active equity portfolio into an ETF, I have been shocked at conferences and elsewhere by how little these “investors” know or care about the companies in their portfolios.\n\n---\n\nJohn Bogle had a great idea that lowered the cost and democratized investing, but in this extraordinary time of technologically-enabled, transformative innovation, passive “investors” should not be “voting” when they know not what they do. I believe that even Bogle would agree that the pendulum to passive has gone way too far!", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.018148079588109933, "ret_signed_m1d": -0.018148079588109933, "alpha_spy_m1d": -0.00785466063904594, "alpha_c_m1d": -0.010276061031174177, "bench_spy_m1d": -0.010293418949063993, "bench_c_m1d": -0.007872018556935756, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.010794954856246153, "ret_signed_p1d": -0.010794954856246153, "alpha_spy_p1d": -0.010780050374770367, "alpha_c_p1d": -0.023026240171467927, "bench_spy_p1d": -1.4904481475785936e-05, "bench_c_p1d": 0.012231285315221774, "ret_p1w": 0.011152629089773658, "ret_signed_p1w": 0.011152629089773658, "alpha_spy_p1w": -0.009613062586064203, "alpha_c_p1w": -0.00916230352229297, "bench_spy_p1w": 0.02076569167583786, "bench_c_p1w": 0.020314932612066627, "ret_p1m": -0.10321166088935929, "ret_signed_p1m": -0.10321166088935929, "alpha_spy_p1m": -0.08649779365006793, "alpha_c_p1m": -0.05335558658692363, "bench_spy_p1m": -0.016713867239291358, "bench_c_p1m": -0.04985607430243566, "ret_p3m": -0.01980194778310862, "ret_signed_p3m": -0.01980194778310862, "alpha_spy_p3m": -0.05404220509846591, "alpha_c_p3m": -0.06045852594867651, "bench_spy_p3m": 0.03424025731535729, "bench_c_p3m": 0.04065657816556789, "ret_p6m": -0.18601788398450192, "ret_signed_p6m": -0.18601788398450192, "alpha_spy_p6m": -0.22640857159132488, "alpha_c_p6m": -0.1755653434151947, "bench_spy_p6m": 0.04039068760682296, "bench_c_p6m": -0.010452540569307223, "price_path": [-0.2567, -0.3177, -0.2936, -0.2723, -0.2821, -0.2869, -0.311, -0.3236, -0.3088, -0.31, -0.285, -0.2797, -0.2632, -0.2423, -0.2382, -0.2415, -0.25, -0.2612, -0.2509, -0.264, -0.2761, -0.2846, -0.2401, -0.2254, -0.214, -0.2186, -0.2267, -0.2538, -0.2538, -0.2639, -0.2533, -0.2434, -0.2159, -0.2258, -0.2245, -0.2227, -0.1757, -0.1151, -0.0836, -0.0577, -0.0482, -0.0683, -0.0477, -0.0295, -0.0482, -0.0104, -0.0537, -0.0157, -0.0094, -0.0061, 0.0269, -0.0255, -0.0393, 0.013, -0.032, -0.0195, -0.0266, -0.0759, -0.0258, -0.0407, -0.0274, -0.0417, -0.0181, 0.0, -0.0108, -0.0189, 0.0035, -0.0306, 0.0112, 0.0293, 0.0315, -0.0164, 0.0204, 0.0468, -0.0071, 0.0327, -0.0034, -0.04, -0.0049, -0.0175, -0.0376, -0.1016, -0.0963, -0.0861, -0.1032, -0.0971, -0.1167, -0.1259, -0.0663, -0.0626, -0.0466, -0.0466, -0.0386, -0.0386, -0.0407, -0.0015, 0.0159, 0.0169, -0.0175, -0.0051, 0.009, -0.0012, 0.0258, 0.0623, 0.0949, 0.0443, 0.0803, 0.0755, 0.0923, 0.0852, 0.0849, 0.0849, 0.062, 0.0273, 0.0156, 0.0051, 0.0051, -0.0209, 0.0095, -0.0323, -0.0358, -0.026, -0.0054, 0.0034, -0.0005, -0.0184, -0.0198, -0.0222, -0.0222, -0.063, -0.0357, 0.0043, 0.0036, -0.0273, -0.0369, -0.0357, -0.069, -0.038, -0.0573, -0.0569, -0.0926, -0.1122, -0.0812, -0.0673, -0.0497, -0.0428, -0.0679, -0.067, -0.067, -0.0822, -0.0807, -0.0798, -0.0796, -0.1064, -0.085, -0.0671, -0.0868, -0.1004, -0.0986, -0.1229, -0.0927, -0.0936, -0.1133, -0.109, -0.1077, -0.0885, -0.1172, -0.1257, -0.1159, -0.1076, -0.1221, -0.15, -0.1776, -0.1488, -0.1439, -0.1374, -0.1683, -0.1913, -0.206, -0.1691, -0.1479, -0.1941, -0.1941, -0.2115, -0.2252, -0.2328, -0.2275, -0.2201, -0.2123, -0.186]}
{"unit_id": "quote:1124477685877616640", "ticker_idx": 0, "ts": "2019-05-04T00:55:46+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$TSLA is four years ahead of the competition, no matter how R&D they throw at it", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Endorses Tesla's 4-year FSD lead as durable regardless of rival R&D spend; bullish TSLA.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": ".@jwangARK, our #AI analyst, worked at #Nvidia for nine years.  He should know.  $TSLA is four years ahead of the competition, no matter how R&amp;D they throw at it.", "reply_text": null, "parent_text": null, "quoted_text": "\"#Tesla’s full self-driving computer is the first such computer to launch in production vehicles and, according to our research, is four years ahead of the competition.\"\n\nLearn more in our latest research: https://t.co/RKMI4TGnjN https://t.co/ExGvwvMUWn", "parent_author": null, "ret_m1d": -0.0012140355280466641, "ret_signed_m1d": -0.0012140355280466641, "alpha_spy_m1d": -0.005346213389513577, "alpha_c_m1d": -0.0073294591781060126, "bench_spy_m1d": 0.0041321778614669125, "bench_c_m1d": 0.006115423650059348, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.03242735395158203, "ret_signed_p1d": -0.03242735395158203, "alpha_spy_p1d": -0.015727302376004837, "alpha_c_p1d": -0.017264440223252686, "bench_spy_p1d": -0.01670005157557719, "bench_c_p1d": -0.015162913728329341, "ret_p1w": -0.11095012986314512, "ret_signed_p1w": -0.11095012986314512, "alpha_spy_p1w": -0.07010581290634943, "alpha_c_p1w": -0.06428863020735898, "bench_spy_p1w": -0.04084431695679569, "bench_c_p1w": -0.04666149965578614, "ret_p1m": -0.2417952599391806, "ret_signed_p1m": -0.2417952599391806, "alpha_spy_p1m": -0.19982363830724048, "alpha_c_p1m": -0.1883478192473832, "bench_spy_p1m": -0.041971621631940126, "bench_c_p1m": -0.05344744069179741, "ret_p3m": -0.08416229867851088, "ret_signed_p3m": -0.08416229867851088, "alpha_spy_p3m": -0.09595781134877224, "alpha_c_p3m": -0.08517236508806181, "bench_spy_p3m": 0.011795512670261354, "bench_c_p3m": 0.0010100664095509249, "ret_p6m": 0.2384271657116479, "ret_signed_p6m": 0.2384271657116479, "alpha_spy_p6m": 0.1931035943308408, "alpha_c_p6m": 0.2200115684666395, "bench_spy_p6m": 0.045323571380807115, "bench_c_p6m": 0.018415597245008408, "price_path": [0.2423, 0.2043, 0.1976, 0.2252, 0.2212, 0.2069, 0.1897, 0.2058, 0.2058, 0.197, 0.1849, 0.1406, 0.1542, 0.1701, 0.1665, 0.2326, 0.2528, 0.1545, 0.1176, 0.083, 0.0819, 0.0832, 0.1128, 0.1393, 0.1097, 0.1317, 0.1356, 0.0787, 0.0554, 0.0475, 0.0715, 0.0732, 0.036, 0.0199, 0.0487, 0.0763, 0.0912, 0.096, 0.1325, 0.1196, 0.1428, 0.0487, 0.0768, 0.0699, 0.0665, 0.0811, 0.0512, 0.0484, 0.0432, 0.0706, 0.0622, 0.0702, 0.0702, 0.029, 0.0335, 0.013, -0.0302, -0.0791, -0.0543, -0.0652, -0.0835, -0.044, -0.0012, 0.0, -0.0324, -0.0411, -0.0523, -0.062, -0.111, -0.0902, -0.0916, -0.1058, -0.1735, -0.1957, -0.1968, -0.2452, -0.2344, -0.2534, -0.2534, -0.261, -0.2564, -0.2629, -0.2748, -0.2991, -0.2418, -0.2301, -0.1934, -0.1991, -0.1663, -0.1498, -0.1805, -0.1623, -0.1583, -0.1187, -0.1198, -0.1132, -0.1399, -0.1311, -0.1241, -0.1393, -0.1413, -0.1273, -0.1249, -0.1103, -0.1206, -0.0801, -0.0801, -0.0871, -0.0979, -0.099, -0.0643, -0.0656, -0.0402, -0.0072, -0.0116, -0.0019, -0.007, 0.0111, 0.0013, 0.0189, 0.0374, -0.1039, -0.1069, -0.0766, -0.0512, -0.0538, -0.0842, -0.0822, -0.1058, -0.0963, -0.0858, -0.0667, -0.0796, -0.1031, -0.0797, -0.1399, -0.1555, -0.1386, -0.1117, -0.1155, -0.1352, -0.13, -0.1721, -0.158, -0.1616, -0.1557, -0.1317, -0.1164, -0.1164, -0.1188, -0.1357, -0.1009, -0.1092, -0.0922, -0.0775, -0.0323, -0.0371, -0.0397, -0.0491, -0.0413, -0.0464, -0.0342, -0.0576, -0.0553, -0.1258, -0.1043, -0.0501, -0.0517, -0.0567, -0.0417, -0.0478, -0.0874, -0.0936, -0.069, -0.0599, -0.0423, -0.0415, -0.0292, 0.0063, 0.01, 0.0173, 0.026, 0.0063, -0.0072, 0.0009, -0.0026, 0.1737, 0.2851, 0.2834, 0.2384]}
{"unit_id": "thread:1663268287520677889", "ticker_idx": 0, "ts": "2023-05-29T19:37:16+00:00", "symbol": "NVDA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "At 25X expected revenue for this year, however, $NVDA is priced ahead of the curve", "tweet_type": "analysis", "timeline": "years", "summary": "NVDA priced ahead of curve at 25x revenue (bearish valuation); TSLA most obvious AI beneficiary targeting $8-10T autonomous TAM by 2030.", "resolved_tickers": ["NVDA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SMH", "bench_c_reason": "industry='Semiconductors'", "bench_c_industry": "Semiconductors", "unit_kind": "self_thread", "lang": "en", "tweet_text": "In 2014, most investors considered $NVDA, priced at ~$5, simply a PC gaming chip stock. In contrast, @ARKInvest’s first principles research pointed to #Nvidia as the premier equity play on #AI. Now up ~80-fold, investors seem to think NVDA is the only AI play. It is not!\n\n---\n\nSince 2014, @ARKInvest has believed that Nvidia saw the AI future before most other chip companies, and now we believe it will continue to power the AI age. At 25X expected revenue for this year, however, $NVDA is priced ahead of the curve.\n\n---\n\nOther companies with visionary leaders, strong global distribution and, perhaps most important, large high-quality pools of proprietary data should be big #AI winners, with revenues and earnings surprising significantly on the high side of expectations during the years ahead.\n\n---\n\nIn our view, $TSLA - at 6X revenues - is the most obvious beneficiary of the recent breakthroughs in #AI, as it aims for an $8-10 trillion revenue TAM in autonomous mobility by 2030. But, based on our research for the last five to six years, @ARKInvest sees dozens of AI winners!", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.0, "ret_signed_m1d": -0.0, "alpha_spy_m1d": 0.0, "alpha_c_m1d": 0.0, "bench_spy_m1d": 0.0, "bench_c_m1d": 0.0, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.029913447757932587, "ret_signed_p1d": -0.029913447757932587, "alpha_spy_p1d": -0.029532608272639704, "alpha_c_p1d": -0.02509529889691753, "bench_spy_p1d": 0.00038083948529288314, "bench_c_p1d": 0.004818148861015059, "ret_p1w": 0.005777306032912932, "ret_signed_p1w": -0.005777306032912932, "alpha_spy_p1w": 0.011078918378490288, "alpha_c_p1w": -0.02647503654362937, "bench_spy_p1w": 0.01685622441140322, "bench_c_p1w": -0.02069773051071644, "ret_p1m": 0.07534379191306573, "ret_signed_p1m": -0.07534379191306573, "alpha_spy_p1m": -0.03303595295440953, "alpha_c_p1m": -0.04718157799754219, "bench_spy_p1m": 0.042307838958656196, "bench_c_p1m": 0.028162213915523537, "ret_p3m": 0.2111097484233262, "ret_signed_p3m": -0.2111097484233262, "alpha_spy_p3m": -0.16708126096539577, "alpha_c_p3m": -0.2012020263912082, "bench_spy_p3m": 0.04402848745793042, "bench_c_p3m": 0.009907722032117983, "ret_p6m": 0.28262948548536526, "ret_signed_p6m": -0.28262948548536526, "alpha_spy_p6m": -0.19563733595830013, "alpha_c_p6m": -0.18009155273100053, "bench_spy_p6m": 0.08699214952706513, "bench_c_p6m": 0.10253793275436474, "price_path": [-0.4173, -0.4015, -0.3867, -0.3953, -0.402, -0.3791, -0.3982, -0.4103, -0.4103, -0.3821, -0.3779, -0.3442, -0.3395, -0.335, -0.3273, -0.3204, -0.3018, -0.3124, -0.3188, -0.3219, -0.3071, -0.2969, -0.2868, -0.282, -0.2951, -0.3098, -0.3058, -0.3058, -0.2919, -0.3024, -0.3197, -0.3205, -0.3129, -0.3067, -0.2896, -0.2828, -0.3041, -0.3037, -0.3057, -0.3262, -0.3079, -0.3009, -0.2875, -0.2577, -0.2757, -0.2861, -0.2923, -0.2636, -0.2515, -0.2664, -0.2583, -0.2662, -0.2723, -0.2566, -0.2499, -0.2251, -0.1866, -0.1972, -0.1995, -0.212, -0.2159, -0.0248, 0.0, 0.0, 0.0299, -0.0286, 0.0212, 0.0098, 0.0058, -0.0075, -0.0377, -0.0111, -0.0044, 0.0139, 0.0534, 0.1041, 0.0953, 0.0963, 0.0963, 0.125, 0.1054, 0.1048, 0.0839, 0.0434, 0.0753, 0.0559, 0.0483, 0.0863, 0.0891, 0.0891, 0.0867, 0.0812, 0.0914, 0.0832, 0.0889, 0.1274, 0.1807, 0.1676, 0.1931, 0.2196, 0.2089, 0.1689, 0.1378, 0.1456, 0.173, 0.1672, 0.1787, 0.2005, 0.2, 0.1943, 0.1368, 0.1431, 0.1473, 0.1663, 0.1469, 0.0928, 0.0885, 0.0491, 0.1235, 0.1283, 0.1167, 0.113, 0.1119, 0.2061, 0.1727, 0.2099, 0.2111, 0.1817, 0.2027, 0.2527, 0.2651, 0.2674, 0.2457, 0.2457, 0.2467, 0.2086, 0.1875, 0.1704, 0.1602, 0.1523, 0.1681, 0.1706, 0.1274, 0.1291, 0.1177, 0.0848, 0.0534, 0.0686, 0.0843, 0.0763, 0.0906, 0.1066, 0.1171, 0.1501, 0.1176, 0.131, 0.1476, 0.1752, 0.1627, 0.1762, 0.202, 0.2056, 0.1675, 0.1838, 0.1284, 0.0837, 0.0812, 0.0629, 0.1037, 0.1213, 0.0729, 0.0356, 0.0401, 0.0571, 0.0473, 0.087, 0.1173, 0.1558, 0.1749, 0.1802, 0.1961, 0.2057, 0.2413, 0.2486, 0.2752, 0.2555, 0.2707, 0.266, 0.2946, 0.2826]}
{"unit_id": "thread:1663268287520677889", "ticker_idx": 1, "ts": "2023-05-29T19:37:16+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$TSLA - at 6X revenues - is the most obvious beneficiary of the recent breakthroughs in #AI, as it aims for an $8-10 trillion revenue TAM in autonomous mobility by 2030", "tweet_type": "analysis", "timeline": "years", "summary": "NVDA priced ahead of curve at 25x revenue (bearish valuation); TSLA most obvious AI beneficiary targeting $8-10T autonomous TAM by 2030.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "self_thread", "lang": "en", "tweet_text": "In 2014, most investors considered $NVDA, priced at ~$5, simply a PC gaming chip stock. In contrast, @ARKInvest’s first principles research pointed to #Nvidia as the premier equity play on #AI. Now up ~80-fold, investors seem to think NVDA is the only AI play. It is not!\n\n---\n\nSince 2014, @ARKInvest has believed that Nvidia saw the AI future before most other chip companies, and now we believe it will continue to power the AI age. At 25X expected revenue for this year, however, $NVDA is priced ahead of the curve.\n\n---\n\nOther companies with visionary leaders, strong global distribution and, perhaps most important, large high-quality pools of proprietary data should be big #AI winners, with revenues and earnings surprising significantly on the high side of expectations during the years ahead.\n\n---\n\nIn our view, $TSLA - at 6X revenues - is the most obvious beneficiary of the recent breakthroughs in #AI, as it aims for an $8-10 trillion revenue TAM in autonomous mobility by 2030. But, based on our research for the last five to six years, @ARKInvest sees dozens of AI winners!", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.0, "ret_signed_m1d": 0.0, "alpha_spy_m1d": 0.0, "alpha_c_m1d": 0.0, "bench_spy_m1d": 0.0, "bench_c_m1d": 0.0, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.041362559242642094, "ret_signed_p1d": 0.041362559242642094, "alpha_spy_p1d": 0.04098171975734921, "alpha_c_p1d": 0.034650969608996274, "bench_spy_p1d": 0.00038083948529288314, "bench_c_p1d": 0.00671158963364582, "ret_p1w": 0.1265206951031348, "ret_signed_p1w": 0.1265206951031348, "alpha_spy_p1w": 0.10966447069173157, "alpha_c_p1w": 0.09032957881209569, "bench_spy_p1w": 0.01685622441140322, "bench_c_p1w": 0.036191116291039105, "ret_p1m": 0.295283993816861, "ret_signed_p1m": 0.295283993816861, "alpha_spy_p1m": 0.2529761548582048, "alpha_c_p1m": 0.19522772092223528, "bench_spy_p1m": 0.042307838958656196, "bench_c_p1m": 0.10005627289462571, "ret_p3m": 0.19086812375978401, "ret_signed_p3m": 0.19086812375978401, "alpha_spy_p3m": 0.1468396363018536, "alpha_c_p3m": 0.11718582165202518, "bench_spy_p3m": 0.04402848745793042, "bench_c_p3m": 0.07368230210775883, "ret_p6m": 0.2486410893750184, "ret_signed_p6m": 0.2486410893750184, "alpha_spy_p6m": 0.16164893984795325, "alpha_c_p6m": 0.14180644844372625, "bench_spy_p6m": 0.08699214952706513, "bench_c_p6m": 0.10683464093129214, "price_path": [0.0497, -0.0118, 0.0239, 0.0033, -0.0283, -0.0578, -0.1048, -0.1021, -0.0968, -0.0513, -0.0658, -0.0468, -0.0675, -0.0514, 0.0228, -0.0105, -0.0049, -0.0143, -0.007, -0.0206, 0.0037, 0.0109, 0.074, 0.0083, -0.0031, -0.0396, -0.042, -0.042, -0.0448, -0.033, -0.0654, -0.0376, -0.0423, -0.0317, -0.0459, -0.0651, -0.1562, -0.1454, -0.1585, -0.1682, -0.2041, -0.1707, -0.1494, -0.1622, -0.1701, -0.1686, -0.1655, -0.1196, -0.1107, -0.1243, -0.1275, -0.1092, -0.1304, -0.1388, -0.138, -0.1, -0.0843, -0.0675, -0.0223, -0.0383, -0.0532, -0.045, 0.0, 0.0, 0.0414, 0.0557, 0.0743, 0.1077, 0.1265, 0.1457, 0.1626, 0.2158, 0.2652, 0.2933, 0.3393, 0.3293, 0.3247, 0.3488, 0.3488, 0.4208, 0.3432, 0.3698, 0.3284, 0.2479, 0.2953, 0.3265, 0.333, 0.3551, 0.4486, 0.4486, 0.4623, 0.4316, 0.4207, 0.3957, 0.3966, 0.408, 0.4386, 0.4566, 0.5032, 0.5186, 0.5078, 0.361, 0.3461, 0.3929, 0.3733, 0.3685, 0.3238, 0.3793, 0.3844, 0.3515, 0.3155, 0.3424, 0.3142, 0.3017, 0.2926, 0.2538, 0.2701, 0.2561, 0.2412, 0.206, 0.1679, 0.1349, 0.1155, 0.1973, 0.2072, 0.2262, 0.1909, 0.2351, 0.2363, 0.3314, 0.3299, 0.336, 0.2684, 0.2684, 0.3278, 0.3041, 0.3019, 0.2864, 0.4163, 0.3847, 0.4045, 0.429, 0.4205, 0.3733, 0.3796, 0.3594, 0.3237, 0.2677, 0.2786, 0.2638, 0.245, 0.2755, 0.2953, 0.3025, 0.2762, 0.352, 0.3462, 0.3487, 0.3443, 0.3647, 0.3614, 0.3401, 0.3, 0.3145, 0.3193, 0.2563, 0.1395, 0.0974, 0.0979, 0.1209, 0.0997, 0.0652, 0.0731, 0.0217, 0.0397, 0.0647, 0.1312, 0.1387, 0.1351, 0.1502, 0.1498, 0.087, 0.1112, 0.1581, 0.229, 0.2571, 0.2092, 0.2129, 0.2197, 0.2486]}
{"unit_id": "quote:1001563420238413825", "ticker_idx": 0, "ts": "2018-05-29T20:38:22+00:00", "symbol": "DB", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$DB is below its 2008-09 low and near its 2016 low", "tweet_type": "analysis", "timeline": "unspecified", "summary": "European bank stress (DB near cycle lows) signals regional crisis like 1997 Asia, calling for global monetary easing; bearish European banks, bullish on accommodative policy response.", "resolved_tickers": ["DB"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": "Banks - Regional", "unit_kind": "quote", "lang": "en", "tweet_text": "European banks like #DeutscheBank have been pointing to trouble for a while. $DB is below its 2008-09 low and near its 2016 low.  @ARKInvest believes this crisis will be more like the Asian crisis in 1997, a regional problem and a call for global monetary accommodation. https://t.co/JOKR4Ae8OO", "reply_text": null, "parent_text": null, "quoted_text": "Wall Street drops on Italy worries https://t.co/RvH7xexFCJ", "parent_author": null, "ret_m1d": 0.06637166078734658, "ret_signed_m1d": -0.06637166078734658, "alpha_spy_m1d": -0.05473686882546791, "alpha_c_m1d": -0.05473686882546791, "bench_spy_m1d": 0.011634791961878665, "bench_c_m1d": 0.011634791961878665, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.023893750270920222, "ret_signed_p1d": -0.023893750270920222, "alpha_spy_p1d": -0.010549256410269381, "alpha_c_p1d": -0.010549256410269381, "bench_spy_p1d": 0.013344493860650841, "bench_c_p1d": 0.013344493860650841, "ret_p1w": -0.023894047849198463, "ret_signed_p1w": 0.023894047849198463, "alpha_spy_p1w": 0.046494436593445876, "alpha_c_p1w": 0.046494436593445876, "bench_spy_p1w": 0.022600388744247413, "bench_c_p1w": 0.022600388744247413, "ret_p1m": -0.08141592902797745, "ret_signed_p1m": 0.08141592902797745, "alpha_spy_p1m": 0.08713842715039899, "alpha_c_p1m": 0.08713842715039899, "bench_spy_p1m": 0.005722498122421538, "bench_c_p1m": 0.005722498122421538, "ret_p3m": 0.007964583423640148, "ret_signed_p3m": -0.007964583423640148, "alpha_spy_p3m": 0.0655653068985691, "alpha_c_p3m": 0.0655653068985691, "bench_spy_p3m": 0.07352989032220925, "bench_c_p3m": 0.07352989032220925, "ret_p6m": -0.16460175446201264, "ret_signed_p6m": 0.16460175446201264, "alpha_spy_p6m": 0.15863593014301314, "alpha_c_p6m": 0.15863593014301314, "bench_spy_p6m": -0.005965824318999502, "bench_c_p6m": -0.005965824318999502, "price_path": [0.3747, 0.3826, 0.3914, 0.4063, 0.4299, 0.4168, 0.4115, 0.4107, 0.3826, 0.3747, 0.3747, 0.3853, 0.3607, 0.359, 0.2951, 0.2425, 0.204, 0.232, 0.2058, 0.2049, 0.2241, 0.2241, 0.1979, 0.2014, 0.2154, 0.2539, 0.2145, 0.2268, 0.2329, 0.2425, 0.2618, 0.2592, 0.2548, 0.2592, 0.2644, 0.2662, 0.2487, 0.2478, 0.2942, 0.2784, 0.2557, 0.2163, 0.1961, 0.19, 0.1935, 0.1935, 0.2066, 0.2066, 0.19, 0.2066, 0.2154, 0.2136, 0.1952, 0.1637, 0.1383, 0.1375, 0.1129, 0.1129, 0.1357, 0.1278, 0.0727, 0.0664, 0.0664, 0.0, 0.0239, -0.0195, -0.023, -0.008, -0.0239, 0.0044, 0.0186, -0.0044, 0.0115, 0.0097, 0.0062, -0.0071, -0.0177, -0.0195, -0.0115, -0.0195, -0.0363, -0.0257, -0.0363, -0.046, -0.0814, -0.0735, -0.0602, -0.0584, -0.0531, -0.0531, -0.015, 0.0142, 0.0212, 0.0115, -0.0133, -0.0088, -0.0053, 0.0743, 0.0504, 0.069, 0.0637, 0.0646, 0.0779, 0.0867, 0.0779, 0.0796, 0.0991, 0.1319, 0.1558, 0.146, 0.1097, 0.1062, 0.108, 0.1168, 0.108, 0.0973, 0.046, 0.0133, 0.0168, -0.0097, -0.008, -0.0088, -0.0071, 0.0212, 0.0274, 0.0, 0.008, 0.0381, 0.0221, 0.0319, 0.0106, -0.0035, -0.0035, 0.0106, 0.015, 0.0071, -0.015, -0.0168, -0.0053, -0.0053, 0.0053, 0.0088, 0.0186, 0.0248, 0.0575, 0.0841, 0.092, 0.0832, 0.0752, 0.0531, 0.0451, 0.0053, -0.0044, -0.015, 0.0018, -0.0088, -0.0159, -0.0221, -0.0239, -0.0336, -0.0416, -0.0407, -0.0239, -0.0124, -0.0035, -0.0292, -0.0336, -0.0513, -0.0531, -0.115, -0.115, -0.1442, -0.1469, -0.1381, -0.1354, -0.0929, -0.069, -0.0743, -0.0761, -0.0611, -0.085, -0.1044, -0.1389, -0.1274, -0.1265, -0.1239, -0.1319, -0.1345, -0.1832, -0.1646]}
{"unit_id": "quote:1001563420238413825", "ticker_idx": 1, "ts": "2018-05-29T20:38:22+00:00", "symbol": "European banks", "kind": "sector", "geography": "Europe", "sub_sector": null, "direction": "short", "conviction": "high", "explicit": false, "explicit_audit": "kept_implicit_alias_present", "polarity_reversed": false, "quote": "European banks like #DeutscheBank have been pointing to trouble for a while", "tweet_type": "analysis", "timeline": "unspecified", "summary": "European bank stress (DB near cycle lows) signals regional crisis like 1997 Asia, calling for global monetary easing; bearish European banks, bullish on accommodative policy response.", "resolved_tickers": ["EUFN"], "resolution_method": "etf", "resolution_reason": "European banks sector; EUFN is the standard ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "European banks like #DeutscheBank have been pointing to trouble for a while. $DB is below its 2008-09 low and near its 2016 low.  @ARKInvest believes this crisis will be more like the Asian crisis in 1997, a regional problem and a call for global monetary accommodation. https://t.co/JOKR4Ae8OO", "reply_text": null, "parent_text": null, "quoted_text": "Wall Street drops on Italy worries https://t.co/RvH7xexFCJ", "parent_author": null, "ret_m1d": 0.05587079525163574, "ret_signed_m1d": -0.05587079525163574, "alpha_spy_m1d": -0.044236003289757075, "alpha_c_m1d": -0.044236003289757075, "bench_spy_m1d": 0.011634791961878665, "bench_c_m1d": 0.011634791961878665, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.022727071639006446, "ret_signed_p1d": -0.022727071639006446, "alpha_spy_p1d": -0.009382577778355605, "alpha_c_p1d": -0.009382577778355605, "bench_spy_p1d": 0.013344493860650841, "bench_c_p1d": 0.013344493860650841, "ret_p1w": 0.021780091620477116, "ret_signed_p1w": -0.021780091620477116, "alpha_spy_p1w": 0.0008202971237702972, "alpha_c_p1w": 0.0008202971237702972, "bench_spy_p1w": 0.022600388744247413, "bench_c_p1w": 0.022600388744247413, "ret_p1m": -0.021527478128736677, "ret_signed_p1m": 0.021527478128736677, "alpha_spy_p1m": 0.027249976251158214, "alpha_c_p1m": 0.027249976251158214, "bench_spy_p1m": 0.005722498122421538, "bench_c_p1m": 0.005722498122421538, "ret_p3m": -0.009216545542558019, "ret_signed_p3m": 0.009216545542558019, "alpha_spy_p3m": 0.08274643586476726, "alpha_c_p3m": 0.08274643586476726, "bench_spy_p3m": 0.07352989032220925, "bench_c_p3m": 0.07352989032220925, "ret_p6m": -0.09834775388777939, "ret_signed_p6m": 0.09834775388777939, "alpha_spy_p6m": 0.09238192956877989, "alpha_c_p6m": 0.09238192956877989, "bench_spy_p6m": -0.005965824318999502, "bench_c_p6m": -0.005965824318999502, "price_path": [0.1231, 0.1193, 0.1179, 0.1283, 0.1288, 0.1269, 0.1302, 0.134, 0.1217, 0.1207, 0.1231, 0.1274, 0.1222, 0.1241, 0.1198, 0.0876, 0.0739, 0.1004, 0.081, 0.0895, 0.0937, 0.0937, 0.0777, 0.0852, 0.0871, 0.0947, 0.0871, 0.0975, 0.1103, 0.1042, 0.1146, 0.1151, 0.1207, 0.1245, 0.1278, 0.1326, 0.1302, 0.134, 0.1259, 0.1207, 0.1198, 0.1184, 0.1117, 0.1065, 0.1051, 0.1037, 0.1009, 0.1004, 0.0966, 0.1075, 0.1141, 0.1165, 0.1127, 0.108, 0.0952, 0.0942, 0.0857, 0.0904, 0.099, 0.0781, 0.0696, 0.0559, 0.0559, 0.0, 0.0227, 0.0166, 0.0331, 0.0355, 0.0218, 0.0384, 0.0346, 0.0303, 0.0497, 0.045, 0.0421, 0.0355, 0.0213, 0.0137, 0.012, 0.012, 0.0006, 0.0134, -0.0018, -0.0033, -0.0215, -0.0136, -0.0038, -0.0107, -0.0063, -0.0063, 0.0105, 0.0139, 0.0243, 0.0169, -0.0018, 0.0026, 0.0036, 0.009, 0.0065, 0.0046, 0.0001, 0.0065, 0.0115, 0.0243, 0.0282, 0.0208, 0.0238, 0.0346, 0.0405, 0.0336, 0.0169, 0.0189, 0.011, 0.0184, 0.0203, 0.0154, -0.0141, -0.0215, -0.0245, -0.0393, -0.0314, -0.0304, -0.026, -0.0112, -0.0058, -0.0176, -0.0092, 0.0051, -0.0004, 0.0046, -0.0092, -0.0191, -0.0191, -0.0136, -0.0082, -0.0146, -0.0284, -0.0161, -0.0201, -0.021, -0.0082, -0.0092, -0.0028, 0.0006, 0.0139, 0.0366, 0.0336, 0.0287, 0.0361, 0.0317, 0.0253, -0.0013, -0.0082, -0.0186, -0.0136, -0.0127, -0.0201, -0.0304, -0.0314, -0.0407, -0.0594, -0.0565, -0.0594, -0.0491, -0.058, -0.0811, -0.0727, -0.0811, -0.0875, -0.1166, -0.1033, -0.1097, -0.1028, -0.0959, -0.0905, -0.0713, -0.0639, -0.0713, -0.0668, -0.0555, -0.0639, -0.0663, -0.0885, -0.0727, -0.0747, -0.0801, -0.0836, -0.0865, -0.1126, -0.0983]}
{"unit_id": "thread:1071963811245121538", "ticker_idx": 0, "ts": "2018-12-10T03:04:23+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "bitcoin's share of crypto network value has increased from the low 30% range to the 55-58% range, suggesting that it is the reserve currency of the cryptoasset ecosystem which, in economics, is an exalted position", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish BTC as dominant reserve currency of the crypto ecosystem; 'great time to pick through the ashes' after 80-95% drawdowns.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "self_thread", "lang": "en", "tweet_text": "Crypto has entered the “valley of despair” in the world of “saddled S-curves”.  With most legitimate #cryptoassets down 80-95%, investors don’t want to admit ever had anything to do with them...a great time to pick through the ashes!\n\n---\n\n#bitcoin’s share of crypto network value has increased from the low 30% range to the 55-58% range, suggesting that it is the reserve currency of the cryptoasset ecosystem which, in economics, is an exalted position.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.02361600735602498, "ret_signed_m1d": -0.02361600735602498, "alpha_spy_m1d": -0.021722342391768845, "alpha_c_m1d": null, "bench_spy_m1d": -0.0018936649642561365, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.02228819243544189, "ret_signed_p1d": -0.02228819243544189, "alpha_spy_p1d": -0.022515066743834966, "alpha_c_p1d": null, "bench_spy_p1d": 0.00022687430839307687, "bench_c_p1d": null, "ret_p1w": 0.012335993075567098, "ret_signed_p1w": 0.012335993075567098, "alpha_spy_p1w": 0.0453199274454501, "alpha_c_p1w": null, "bench_spy_p1w": -0.032983934369883006, "bench_c_p1w": null, "ret_p1m": 0.15079753582643307, "ret_signed_p1m": 0.15079753582643307, "alpha_spy_p1m": 0.1727637124376813, "alpha_c_p1m": null, "bench_spy_p1m": -0.021966176611248223, "bench_c_p1m": null, "ret_p3m": 0.11671953182291417, "ret_signed_p3m": 0.11671953182291417, "alpha_spy_p3m": 0.06920980947144661, "alpha_c_p3m": null, "bench_spy_p3m": 0.047509722351467554, "bench_c_p3m": null, "ret_p6m": 1.2005503775420423, "ret_signed_p6m": 1.2005503775420423, "alpha_spy_p6m": 1.1273086631524956, "alpha_c_p6m": null, "bench_spy_p6m": 0.07324171438954674, "bench_c_p6m": null, "price_path": [0.8134, 0.8607, 0.8594, 0.7933, 0.819, 0.8268, 0.8614, 0.9228, 0.883, 0.8405, 0.8543, 0.9062, 0.8969, 0.8813, 0.8718, 0.8565, 0.8776, 0.8907, 0.8992, 0.8965, 0.8802, 0.7861, 0.7914, 0.8833, 0.8832, 0.8684, 0.8491, 0.8459, 0.8521, 0.8488, 0.8545, 0.849, 0.8485, 0.808, 0.8084, 0.8037, 0.8208, 0.8239, 0.8328, 0.8446, 0.8643, 0.8425, 0.8231, 0.819, 0.8156, 0.6383, 0.6125, 0.5918, 0.3908, 0.271, 0.3139, 0.2465, 0.2411, 0.0789, 0.0908, 0.2155, 0.2216, 0.1469, 0.1118, 0.1297, 0.0718, 0.0053, -0.0236, 0.0, -0.0223, -0.0045, -0.054, -0.0743, 0.0123, 0.0552, 0.0695, 0.1804, 0.1125, 0.1644, 0.0893, 0.1012, 0.0434, 0.1203, 0.0685, 0.0973, 0.1258, 0.0954, 0.1014, 0.1492, 0.1508, 0.1521, 0.0503, 0.0527, 0.0581, 0.0365, 0.0435, 0.0502, 0.0443, 0.0209, 0.0291, 0.0235, 0.028, 0.0277, -0.0092, -0.0156, -0.0047, -0.0128, -0.0042, -0.0124, -0.0104, -0.0254, -0.0295, 0.0469, 0.0416, 0.0431, 0.0369, 0.0326, 0.0337, 0.1179, 0.1269, 0.1419, 0.1289, 0.1436, 0.1085, 0.1004, 0.0995, 0.1005, 0.1019, 0.0739, 0.1124, 0.1146, 0.1167, 0.1138, 0.1149, 0.1161, 0.1154, 0.1204, 0.1308, 0.1513, 0.1623, 0.167, 0.1504, 0.1488, 0.1314, 0.1377, 0.1668, 0.1617, 0.1701, 0.1872, 0.3932, 0.4198, 0.4054, 0.438, 0.5102, 0.486, 0.5201, 0.4459, 0.4531, 0.4466, 0.4947, 0.4994, 0.5127, 0.5142, 0.5415, 0.5909, 0.5602, 0.4876, 0.5072, 0.4981, 0.5276, 0.5425, 0.5717, 0.6468, 0.6407, 0.6643, 0.708, 0.7628, 0.8211, 1.2311, 1.2824, 1.3426, 1.2511, 1.0967, 1.2778, 1.2735, 1.1926, 1.2502, 1.2804, 1.514, 1.4895, 1.4723, 1.3752, 1.448, 1.3436, 1.2006]}
{"unit_id": "quote:905317421740941312", "ticker_idx": 0, "ts": "2017-09-06T06:31:07+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "bitcoin and ether first", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Endorses Balaji's view that BTC and ETH lead, then FIL and XTZ are ripe for tokenization.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Cutting to the quick @ericjackson @CNBC : @balajis says that #bitcoin and #ether first, then #filecoin and #tezos...ripe for tokenization. https://t.co/FICzNjC9mp", "reply_text": null, "parent_text": null, "quoted_text": "CNBC – Blockchain Will Turn the Internet Into the World's Largest 'Stock' Market, Says Investor https://t.co/L5x7HnSuJL by @ericjackson", "parent_author": null, "ret_m1d": -0.04798446122965483, "ret_signed_m1d": -0.04798446122965483, "alpha_spy_m1d": -0.04458219434256305, "alpha_c_m1d": null, "bench_spy_m1d": -0.003402266887091776, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.0006003248892021418, "ret_signed_p1d": 0.0006003248892021418, "alpha_spy_p1d": 0.0007221029222465036, "alpha_c_p1d": null, "bench_spy_p1d": -0.00012177803304436186, "bench_c_p1d": null, "ret_p1w": -0.15542992375279108, "ret_signed_p1w": -0.15542992375279108, "alpha_spy_p1w": -0.1686741536762425, "alpha_c_p1w": null, "bench_spy_p1w": 0.013244229923451423, "bench_c_p1w": null, "ret_p1m": -0.058451803322010165, "ret_signed_p1m": -0.058451803322010165, "alpha_spy_p1m": -0.09500046208627311, "alpha_c_p1m": null, "bench_spy_p1m": 0.03654865876426294, "bench_c_p1m": null, "ret_p3m": 1.5357614981016265, "ret_signed_p3m": 1.5357614981016265, "alpha_spy_p3m": 1.460626437610144, "alpha_c_p3m": null, "bench_spy_p3m": 0.07513506049148244, "bench_c_p3m": null, "ret_p6m": 1.3821435422269928, "ret_signed_p6m": 1.3821435422269928, "alpha_spy_p6m": 1.2869485828304275, "alpha_c_p6m": null, "bench_spy_p6m": 0.0951949593965653, "bench_c_p6m": null, "price_path": [-0.3857, -0.4215, -0.409, -0.4548, -0.4639, -0.4521, -0.4367, -0.4079, -0.415, -0.4115, -0.4029, -0.4609, -0.4448, -0.4399, -0.4476, -0.4603, -0.4422, -0.4341, -0.434, -0.4326, -0.4521, -0.4839, -0.4915, -0.4782, -0.4871, -0.5142, -0.5153, -0.4956, -0.5055, -0.3871, -0.4197, -0.4007, -0.4395, -0.4498, -0.4188, -0.389, -0.3745, -0.4087, -0.4104, -0.3899, -0.3701, -0.265, -0.2561, -0.2729, -0.2645, -0.2059, -0.0592, -0.0903, -0.048, -0.0577, -0.095, -0.1295, -0.108, -0.0969, -0.0571, -0.0491, -0.0467, -0.0039, -0.0069, 0.0231, 0.0641, -0.0785, -0.048, 0.0, 0.0006, -0.0801, -0.0948, -0.1014, -0.1554, -0.3137, -0.2087, -0.1157, -0.1462, -0.1503, -0.2101, -0.2102, -0.146, -0.1533, -0.0862, -0.0919, -0.0944, -0.0409, -0.0608, -0.08, -0.0585, -0.0492, 0.038, 0.0402, 0.0499, 0.1849, 0.2284, 0.2455, 0.2194, 0.2161, 0.2418, 0.3077, 0.29, 0.2022, 0.251, 0.2845, 0.2575, 0.3336, 0.4071, 0.4721, 0.5398, 0.5679, 0.5276, 0.5541, 0.6227, 0.5539, 0.4396, 0.4269, 0.4435, 0.5913, 0.7123, 0.6769, 0.7839, 0.7557, 0.7954, 0.7487, 0.7954, 1.1358, 1.1881, 1.151, 1.2261, 1.3875, 1.5358, 1.5922, 2.1088, 2.8937, 2.6043, 2.6842, 2.7883, 2.5692, 2.6031, 2.8517, 3.1579, 2.8669, 2.6163, 2.4376, 2.0088, 2.0512, 2.5021, 2.4453, 2.1773, 2.1881, 1.9708, 2.259, 2.3066, 2.3933, 2.7914, 2.2999, 2.1749, 2.2571, 1.9161, 2.0412, 2.0062, 1.4995, 1.4338, 1.4961, 1.5249, 1.3779, 1.3642, 1.471, 1.4492, 1.4301, 1.4573, 1.1984, 1.2234, 0.9948, 0.9209, 0.513, 0.6867, 0.6578, 0.798, 0.9005, 0.9418, 0.8704, 1.0653, 1.2115, 1.2262, 1.4418, 1.4806, 1.3255, 1.1764, 1.2408, 1.255, 1.3331, 1.2618, 1.3821]}
{"unit_id": "quote:1118961601183272960", "ticker_idx": 0, "ts": "2019-04-18T19:36:49+00:00", "symbol": "AAPL", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "confidence in $AAPL's #AutonomousVehicle strategy has gone down based on its LiDAR focus", "tweet_type": "analysis", "timeline": "unspecified", "summary": "ARK's conviction in AAPL AV strategy declining on LiDAR approach; implicitly bullish Tesla's camera-only AI approach.", "resolved_tickers": ["AAPL"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLK", "bench_c_reason": "industry='Consumer Electronics'", "bench_c_industry": "Consumer Electronics", "unit_kind": "quote", "lang": "en", "tweet_text": ".@ARKInvest’s confidence in $AAPL’s #AutonomousVehicle strategy has gone down based on its LiDAR focus, which #Tesla considers a crutch in an #AI model that is more deterministic than probabilistic, and we agree.", "reply_text": null, "parent_text": null, "quoted_text": "“What is clear from Apple’s interest in cheaper lidar systems is that it wants to control the “perception stack” of sensors, computers and software to drive an autonomous vehicle, regardless of who makes the vehicle,...” https://t.co/tqtkDkUoYT", "parent_author": null, "ret_m1d": -0.0035807819797095686, "ret_signed_m1d": 0.0035807819797095686, "alpha_spy_m1d": 0.0016159347678688096, "alpha_c_m1d": 0.0007536333363025172, "bench_spy_m1d": -0.001964847211840759, "bench_c_m1d": -0.0028271486434070514, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0, "ret_signed_p1d": -0.0, "alpha_spy_p1d": 0.0, "alpha_c_p1d": 0.0, "bench_spy_p1d": 0.0, "bench_c_p1d": 0.0, "ret_p1w": 0.006965711723413204, "ret_signed_p1w": -0.006965711723413204, "alpha_spy_p1w": 3.396156131119099e-05, "alpha_c_p1w": 0.0063986588344093764, "bench_spy_p1w": 0.006999673284724395, "bench_c_p1w": 0.01336437055782258, "ret_p1m": -0.0693228177278471, "ret_signed_p1m": 0.0693228177278471, "alpha_spy_p1m": 0.05491020028059723, "alpha_c_p1m": 0.0379683457914074, "bench_spy_p1m": -0.014412617447249865, "bench_c_p1m": -0.0313544719364397, "ret_p3m": 0.007002384936811268, "ret_signed_p3m": -0.007002384936811268, "alpha_spy_p3m": 0.03167850768623337, "alpha_c_p3m": 0.03302538447892034, "bench_spy_p3m": 0.03868089262304464, "bench_c_p3m": 0.04002776941573161, "ret_p6m": 0.16756870730456597, "ret_signed_p6m": -0.16756870730456597, "alpha_spy_p6m": -0.13627435996943316, "alpha_c_p6m": -0.11239969631913382, "bench_spy_p6m": 0.03129434733513281, "bench_c_p6m": 0.05516901098543214, "price_path": [-0.234, -0.2512, -0.2482, -0.2542, -0.2294, -0.2366, -0.2445, -0.1929, -0.187, -0.1867, -0.1636, -0.1492, -0.1489, -0.1651, -0.1641, -0.1689, -0.1617, -0.1652, -0.1622, -0.164, -0.164, -0.1615, -0.1561, -0.1609, -0.1515, -0.1453, -0.1449, -0.1422, -0.1506, -0.1417, -0.1374, -0.139, -0.1439, -0.1538, -0.1518, -0.1224, -0.1126, -0.1087, -0.0987, -0.087, -0.0777, -0.085, -0.077, -0.043, -0.0628, -0.0742, -0.0837, -0.0755, -0.0743, -0.0682, -0.0619, -0.0483, -0.0417, -0.0401, -0.0337, -0.0184, -0.0214, -0.0159, -0.0241, -0.0245, -0.0227, -0.0226, -0.0036, 0.0, 0.0, 0.0033, 0.0178, 0.0162, 0.007, 0.0022, 0.0037, -0.0156, 0.0327, 0.0259, 0.0387, 0.0227, -0.0049, -0.0047, -0.0154, -0.029, -0.0855, -0.071, -0.0599, -0.064, -0.0693, -0.0984, -0.0811, -0.1, -0.1153, -0.1187, -0.1187, -0.1224, -0.1265, -0.122, -0.1379, -0.1466, -0.1154, -0.1011, -0.0879, -0.0637, -0.0517, -0.0407, -0.0438, -0.044, -0.0509, -0.0452, -0.0228, -0.0256, -0.0178, -0.0212, -0.0221, -0.037, -0.0161, -0.0164, -0.0254, -0.0075, -0.0017, 0.0066, 0.0066, 0.0057, -0.0151, -0.0091, 0.0007, -0.0065, 0.0011, 0.0105, 0.007, 0.0013, 0.0127, -0.0024, 0.0204, 0.0284, 0.0275, 0.0194, 0.023, 0.0325, 0.0281, 0.0491, 0.0264, 0.0046, -0.048, -0.0299, -0.0199, 0.0017, -0.0065, -0.009, 0.0329, 0.0022, -0.0028, 0.0207, 0.0397, 0.0398, 0.0511, 0.0502, 0.0016, 0.0207, 0.0091, 0.0159, 0.0331, 0.0318, 0.0318, 0.0168, 0.034, 0.0542, 0.0541, 0.0586, 0.0711, 0.1052, 0.1027, 0.0813, 0.0869, 0.0909, 0.1011, 0.0922, 0.0762, 0.0811, 0.076, 0.0925, 0.0869, 0.0816, 0.1071, 0.1101, 0.0823, 0.0915, 0.1221, 0.1223, 0.1092, 0.1222, 0.1373, 0.1676]}
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{"unit_id": "quote:924430353539981318", "ticker_idx": 0, "ts": "2017-10-29T00:19:06+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "#bitcoin is climbing an epic wall of worry", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish bitcoin and equities: wall of worry signals stronger bull market ahead.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "The higher the “wall of worry”, the stronger the bull market.  #bitcoin is climbing an epic wall of worry, as are equities. https://t.co/Bc6xK65wd7", "reply_text": null, "parent_text": null, "quoted_text": "China ban; Dimon doubt and now Buffet...yeah this is looking like a better investment by the day!\n\n#BTD now stands for Buy The Doubt https://t.co/rpL9DgnqWl", "parent_author": null, "ret_m1d": -0.05703094105489104, "ret_signed_m1d": -0.05703094105489104, "alpha_spy_m1d": -0.060769875831748754, "alpha_c_m1d": null, "bench_spy_m1d": 0.0037389347768577164, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.0551127111404921, "ret_signed_p1d": 0.0551127111404921, "alpha_spy_p1d": 0.0535548216501347, "alpha_c_p1d": null, "bench_spy_p1d": 0.0015578894903574003, "bench_c_p1d": null, "ret_p1w": 0.14553880524797247, "ret_signed_p1w": 0.14553880524797247, "alpha_spy_p1w": 0.13735952912127325, "alpha_c_p1w": null, "bench_spy_p1w": 0.00817927612669922, "bench_c_p1w": null, "ret_p1m": 0.6407717044361656, "ret_signed_p1m": 0.6407717044361656, "alpha_spy_p1m": 0.6169352826290517, "alpha_c_p1m": null, "bench_spy_p1m": 0.023836421807113872, "bench_c_p1m": null, "ret_p3m": 0.8366113183051813, "ret_signed_p3m": 0.8366113183051813, "alpha_spy_p3m": 0.7275628545382771, "alpha_c_p3m": null, "bench_spy_p3m": 0.10904846376690425, "bench_c_p3m": null, "ret_p6m": 0.5818371886032421, "ret_signed_p6m": 0.5818371886032421, "alpha_spy_p6m": 0.5482133795183066, "alpha_c_p6m": null, "bench_spy_p6m": 0.03362380908493545, "bench_c_p6m": null, "price_path": [-0.5578, -0.5425, -0.5276, -0.4488, -0.4421, -0.4548, -0.4485, -0.4045, -0.2945, -0.3179, -0.2861, -0.2934, -0.3213, -0.3472, -0.3311, -0.3228, -0.2929, -0.2869, -0.2851, -0.2531, -0.2553, -0.2328, -0.202, -0.309, -0.2861, -0.2501, -0.2497, -0.3102, -0.3212, -0.3262, -0.3667, -0.4854, -0.4067, -0.3369, -0.3598, -0.3629, -0.4077, -0.4078, -0.3596, -0.3651, -0.3148, -0.319, -0.3209, -0.2808, -0.2957, -0.3101, -0.294, -0.287, -0.2216, -0.22, -0.2127, -0.1115, -0.0788, -0.0661, -0.0856, -0.0881, -0.0688, -0.0194, -0.0327, -0.0985, -0.0619, -0.0368, -0.057, 0.0, 0.0551, 0.1039, 0.1546, 0.1757, 0.1455, 0.1654, 0.2168, 0.1652, 0.0795, 0.07, 0.0824, 0.1933, 0.284, 0.2575, 0.3377, 0.3166, 0.3463, 0.3113, 0.3463, 0.6015, 0.6408, 0.613, 0.6693, 0.7903, 0.9015, 0.9438, 1.3312, 1.9198, 1.7028, 1.7627, 1.8408, 1.6765, 1.7019, 1.8883, 2.1179, 1.8997, 1.7118, 1.5777, 1.2562, 1.288, 1.6262, 1.5835, 1.3826, 1.3907, 1.2277, 1.4439, 1.4796, 1.5445, 1.8431, 1.4745, 1.3808, 1.4424, 1.1867, 1.2805, 1.2543, 0.8743, 0.8251, 0.8718, 0.8934, 0.7831, 0.7728, 0.8529, 0.8366, 0.8223, 0.8426, 0.6485, 0.6672, 0.4959, 0.4405, 0.1345, 0.2648, 0.2432, 0.3483, 0.4252, 0.4561, 0.4025, 0.5487, 0.6583, 0.6693, 0.831, 0.8601, 0.7438, 0.632, 0.6803, 0.691, 0.7495, 0.6961, 0.7863, 0.8084, 0.8878, 0.7584, 0.6256, 0.5325, 0.5231, 0.5015, 0.4998, 0.349, 0.354, 0.3601, 0.4078, 0.4539, 0.4565, 0.4238, 0.4484, 0.3391, 0.2777, 0.2975, 0.1689, 0.124, 0.1555, 0.2162, 0.118, 0.1111, 0.0825, 0.1044, 0.1149, 0.1367, 0.2869, 0.288, 0.3145, 0.289, 0.3316, 0.353, 0.4429, 0.4568, 0.5818]}
{"unit_id": "quote:864631857886973953", "ticker_idx": 0, "ts": "2017-05-17T00:01:13+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": false, "explicit_audit": "kept_implicit_alias_present", "polarity_reversed": false, "quote": "You are missing the $2 trillion global autonomous taxi network opportunity!", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish TSLA; argues Blodget is missing the $2T autonomous taxi opportunity that justifies upside from here.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "You are missing the $2 trillion global autonomous taxi network opportunity!  Please see @ARKindu research! https://t.co/iNSKU3jte9", "reply_text": null, "parent_text": null, "quoted_text": "This would support the current Tesla price. Doesn't leave upside, though. So if want return from here, needs to be much more. https://t.co/9iq1GGl5Ks", "parent_author": null, "ret_m1d": 0.03560815079836854, "ret_signed_m1d": 0.03560815079836854, "alpha_spy_m1d": 0.01754346068573276, "alpha_c_m1d": 0.01915678894686801, "bench_spy_m1d": 0.018064690112635784, "bench_c_m1d": 0.016451361851500534, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.02270424662501913, "ret_signed_p1d": 0.02270424662501913, "alpha_spy_p1d": 0.0186758425933915, "alpha_c_p1d": 0.01691769212072014, "bench_spy_p1d": 0.00402840403162763, "bench_c_p1d": 0.005786554504298991, "ret_p1w": 0.01342655421092176, "ret_signed_p1w": 0.01342655421092176, "alpha_spy_p1w": -0.006885299748127238, "alpha_c_p1w": -0.004045830702279485, "bench_spy_p1w": 0.020311853959048998, "bench_c_p1w": 0.017472384913201244, "ret_p1m": 0.22616054104372996, "ret_signed_p1m": 0.22616054104372996, "alpha_spy_p1m": 0.1924483077046235, "alpha_c_p1m": 0.1999519163517618, "bench_spy_p1m": 0.033712233339106445, "bench_c_p1m": 0.026208624691968163, "ret_p3m": 0.1884616031673041, "ret_signed_p3m": 0.1884616031673041, "alpha_spy_p3m": 0.1379050057173632, "alpha_c_p3m": 0.15855484581748547, "bench_spy_p3m": 0.0505565974499409, "bench_c_p3m": 0.029906757349818625, "ret_p6m": -0.010192423443732834, "ret_signed_p6m": -0.010192423443732834, "alpha_spy_p6m": -0.11576666577492711, "alpha_c_p6m": -0.0615589314454853, "bench_spy_p6m": 0.10557424233119428, "bench_c_p6m": 0.051366508001752464, "price_path": [-0.1107, -0.1107, -0.0938, -0.1065, -0.1637, -0.1604, -0.1956, -0.1833, -0.1832, -0.1817, -0.1782, -0.1793, -0.1879, -0.1935, -0.2, -0.2039, -0.1958, -0.1572, -0.1646, -0.1439, -0.1457, -0.1444, -0.1811, -0.1669, -0.1677, -0.1403, -0.1172, -0.0936, -0.0939, -0.0921, -0.0908, -0.0248, -0.0079, -0.0363, -0.0242, -0.0117, 0.0205, 0.0085, -0.0303, -0.0069, -0.0069, -0.0153, -0.0191, -0.0019, -0.0118, -0.0017, 0.0063, 0.0251, 0.0133, 0.0082, 0.026, 0.0546, 0.0417, 0.016, -0.0348, 0.0073, 0.0035, 0.0495, 0.0624, 0.0555, 0.0611, 0.0319, 0.0356, 0.0, 0.0227, 0.0154, 0.0139, -0.0074, 0.0134, 0.035, 0.0622, 0.0622, 0.0947, 0.114, 0.1119, 0.1102, 0.1346, 0.1527, 0.1749, 0.2087, 0.1673, 0.1728, 0.2282, 0.2435, 0.2262, 0.2133, 0.2081, 0.216, 0.2296, 0.2499, 0.2527, 0.2332, 0.1838, 0.2128, 0.1785, 0.1813, 0.1519, 0.1519, 0.0685, 0.0089, 0.0232, 0.0325, 0.069, 0.0765, 0.0565, 0.0708, 0.044, 0.0723, 0.0626, 0.0778, 0.0728, 0.1189, 0.1094, 0.1233, 0.0926, 0.0946, 0.0567, 0.044, 0.0646, 0.1339, 0.166, 0.1603, 0.1931, 0.1876, 0.161, 0.1691, 0.1885, 0.1837, 0.1856, 0.1497, 0.1351, 0.1037, 0.1151, 0.1524, 0.153, 0.137, 0.1292, 0.1348, 0.1538, 0.1627, 0.161, 0.161, 0.142, 0.1255, 0.1454, 0.1218, 0.1881, 0.185, 0.1964, 0.2337, 0.2408, 0.2577, 0.2254, 0.2215, 0.1972, 0.1469, 0.127, 0.1279, 0.1139, 0.1094, 0.1143, 0.1157, 0.1373, 0.1597, 0.1608, 0.1659, 0.1203, 0.1616, 0.1584, 0.1619, 0.1616, 0.1453, 0.1622, 0.1749, 0.1493, 0.1274, 0.101, 0.102, 0.0645, 0.0655, 0.0482, 0.0456, 0.083, 0.0489, -0.0224, -0.0001, -0.0109, -0.0002, -0.0056, -0.0102]}
{"unit_id": "quote:2017668924230300105", "ticker_idx": 0, "ts": "2026-01-31T18:38:52+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "bitcoin, ether, Solana, and perhaps hyperliquid could be good diversifiers", "tweet_type": "prediction", "timeline": "unspecified", "summary": "CathieWood recommends BTC, ETH, SOL, and possibly Hyperliquid as portfolio diversifiers against consensus, citing BTC-gold low correlation.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Against consensus thinking these days, bitcoin, ether, Solana, and perhaps hyperliquid could be good diversifiers. Since early 2020, the correlation between the bitcoin price and the gold price has been very low, 0.14. Gold led bitcoin in the last two major bitcoin bull markets.", "reply_text": null, "parent_text": null, "quoted_text": "@CathieDWood Agreed, however, I do think the point of \"where else is the money going to go\" is a valid one.\n\nMost American's have no idea where to put their capital right now.", "parent_author": null, "ret_m1d": 0.06913173159843944, "ret_signed_m1d": 0.06913173159843944, "alpha_spy_m1d": 0.07407850154459417, "alpha_c_m1d": null, "bench_spy_m1d": -0.004946769946154728, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.03882661934945053, "ret_signed_p1d": -0.03882661934945053, "alpha_spy_p1d": -0.03037122291874994, "alpha_c_p1d": null, "bench_spy_p1d": -0.00845539643070059, "bench_c_p1d": null, "ret_p1w": -0.10888446790272044, "ret_signed_p1w": -0.10888446790272044, "alpha_spy_p1w": -0.10678503015247987, "alpha_c_p1w": null, "bench_spy_p1w": -0.0020994377502405737, "bench_c_p1w": null, "ret_p1m": -0.13210420960266522, "ret_signed_p1m": -0.13210420960266522, "alpha_spy_p1m": -0.11041923105116547, "alpha_c_p1m": null, "bench_spy_p1m": -0.021684978551499756, "bench_c_p1m": null, "ret_p3m": -0.030302233026037517, "ret_signed_p3m": -0.030302233026037517, "alpha_spy_p3m": -0.06655804003301113, "alpha_c_p3m": null, "bench_spy_p3m": 0.03625580700697362, "bench_c_p3m": null, "ret_p6m": null, "ret_signed_p6m": null, "alpha_spy_p6m": null, "alpha_c_p6m": null, "bench_spy_p6m": null, "bench_c_p6m": null, "price_path": [0.3203, 0.2874, 0.3137, 0.347, 0.3089, 0.292, 0.267, 0.1996, 0.1704, 0.1812, 0.1624, 0.1009, 0.0814, 0.1218, 0.11, 0.1503, 0.1601, 0.1554, 0.097, 0.1609, 0.1886, 0.171, 0.136, 0.1519, 0.178, 0.1694, 0.1757, 0.1472, 0.0982, 0.1163, 0.0947, 0.0861, 0.1196, 0.1246, 0.1109, 0.1134, 0.1086, 0.1095, 0.1074, 0.1238, 0.1121, 0.1276, 0.143, 0.1931, 0.1911, 0.1604, 0.1568, 0.1503, 0.1589, 0.2114, 0.2318, 0.2143, 0.214, 0.1762, 0.1223, 0.1358, 0.1369, 0.1374, 0.1217, 0.1323, 0.1334, 0.0746, 0.0691, 0.0, -0.0388, -0.072, -0.2032, -0.1034, -0.1089, -0.1257, -0.1486, -0.1584, -0.1249, -0.1251, -0.1423, -0.1558, -0.1491, -0.1358, -0.1788, -0.1857, -0.1363, -0.1428, -0.1628, -0.126, -0.1321, -0.076, -0.0997, -0.1341, -0.1307, -0.1113, -0.1078, -0.1041, -0.0981, -0.0486, -0.0606, -0.0946, -0.1115, -0.1038, -0.0988, -0.1038, -0.0938, -0.1258, -0.157, -0.1525, -0.1329, -0.1348, -0.15, -0.1494, -0.1249, -0.0858, -0.0961, -0.088, -0.0726, -0.0534, -0.0573, -0.0494, -0.0449, -0.0198, -0.0358, -0.0297, -0.0062, -0.0053, -0.0157, -0.0168, -0.0297, -0.037, -0.0303, -0.0065, 0.0145, 0.0284, 0.0348, 0.0168, 0.019, 0.0386, 0.0227, 0.0075, 0.03, 0.0048, -0.022, -0.0246, -0.0156, -0.0146, -0.0407, -0.0179, -0.0364, -0.0552, -0.0655, -0.0676, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null]}
{"unit_id": "quote:2017668924230300105", "ticker_idx": 1, "ts": "2026-01-31T18:38:52+00:00", "symbol": "ETH-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": false, "explicit_audit": "flipped_to_implicit", "polarity_reversed": false, "quote": "bitcoin, ether, Solana, and perhaps hyperliquid could be good diversifiers", "tweet_type": "prediction", "timeline": "unspecified", "summary": "CathieWood recommends BTC, ETH, SOL, and possibly Hyperliquid as portfolio diversifiers against consensus, citing BTC-gold low correlation.", "resolved_tickers": ["ETH-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Against consensus thinking these days, bitcoin, ether, Solana, and perhaps hyperliquid could be good diversifiers. Since early 2020, the correlation between the bitcoin price and the gold price has been very low, 0.14. Gold led bitcoin in the last two major bitcoin bull markets.", "reply_text": null, "parent_text": null, "quoted_text": "@CathieDWood Agreed, however, I do think the point of \"where else is the money going to go\" is a valid one.\n\nMost American's have no idea where to put their capital right now.", "parent_author": null, "ret_m1d": 0.1527150524057055, "ret_signed_m1d": 0.1527150524057055, "alpha_spy_m1d": 0.15766182235186021, "alpha_c_m1d": null, "bench_spy_m1d": -0.004946769946154728, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.04982085366444211, "ret_signed_p1d": -0.04982085366444211, "alpha_spy_p1d": -0.04136545723374152, "alpha_c_p1d": null, "bench_spy_p1d": -0.00845539643070059, "bench_c_p1d": null, "ret_p1w": -0.1027100797345687, "ret_signed_p1w": -0.1027100797345687, "alpha_spy_p1w": -0.10061064198432812, "alpha_c_p1w": null, "bench_spy_p1w": -0.0020994377502405737, "bench_c_p1w": null, "ret_p1m": -0.15423752289120995, "ret_signed_p1m": -0.15423752289120995, "alpha_spy_p1m": -0.1325525443397102, "alpha_c_p1m": null, "bench_spy_p1m": -0.021684978551499756, "bench_c_p1m": null, "ret_p3m": -0.03758193842531388, "ret_signed_p3m": -0.03758193842531388, "alpha_spy_p3m": -0.0738377454322875, "alpha_c_p3m": null, "bench_spy_p3m": 0.03625580700697362, "bench_c_p3m": null, "ret_p6m": null, "ret_signed_p6m": null, "alpha_spy_p6m": null, "alpha_c_p6m": null, "bench_spy_p6m": null, "bench_c_p6m": null, "price_path": [0.461, 0.4129, 0.4653, 0.5221, 0.4568, 0.4559, 0.379, 0.3239, 0.2901, 0.3321, 0.2895, 0.2079, 0.1797, 0.2595, 0.2617, 0.2915, 0.2859, 0.2934, 0.1944, 0.2788, 0.3614, 0.337, 0.2901, 0.3331, 0.4166, 0.4185, 0.3808, 0.3156, 0.2644, 0.2644, 0.2078, 0.2059, 0.2703, 0.2823, 0.264, 0.2565, 0.2385, 0.248, 0.2517, 0.2675, 0.2656, 0.2798, 0.3327, 0.3761, 0.4059, 0.3508, 0.3242, 0.3151, 0.3191, 0.4171, 0.431, 0.4149, 0.4057, 0.3593, 0.2522, 0.2707, 0.2582, 0.2597, 0.2483, 0.2891, 0.2825, 0.2021, 0.1527, 0.0, -0.0498, -0.0857, -0.2229, -0.1198, -0.1027, -0.1386, -0.1722, -0.1695, -0.1262, -0.1478, -0.1502, -0.1665, -0.169, -0.1601, -0.2085, -0.2096, -0.1236, -0.1355, -0.1764, -0.1353, -0.1542, -0.0929, -0.1163, -0.156, -0.1499, -0.1311, -0.1249, -0.1157, -0.1074, 0.0029, -0.0112, -0.06, -0.0883, -0.0844, -0.082, -0.0805, -0.0752, -0.1215, -0.1506, -0.1369, -0.1022, -0.0877, -0.1226, -0.1241, -0.1009, -0.0437, -0.0657, -0.0662, -0.0423, 0.0112, -0.009, 0.0064, 0.0018, 0.0327, -0.0124, -0.007, 0.0135, -0.0055, -0.0122, -0.0176, -0.0234, -0.0388, -0.0376, -0.021, 0.0009, 0.0072, 0.0027, -0.0227, -0.0159, -0.0021, -0.0297, -0.037, -0.0271, -0.0516, -0.0921, -0.1, -0.0927, -0.0908, -0.1193, -0.0994, -0.1167, -0.1374, -0.1437, -0.1418, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null]}
{"unit_id": "quote:2017668924230300105", "ticker_idx": 2, "ts": "2026-01-31T18:38:52+00:00", "symbol": "SOL-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "bitcoin, ether, Solana, and perhaps hyperliquid could be good diversifiers", "tweet_type": "prediction", "timeline": "unspecified", "summary": "CathieWood recommends BTC, ETH, SOL, and possibly Hyperliquid as portfolio diversifiers against consensus, citing BTC-gold low correlation.", "resolved_tickers": ["SOL-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Against consensus thinking these days, bitcoin, ether, Solana, and perhaps hyperliquid could be good diversifiers. Since early 2020, the correlation between the bitcoin price and the gold price has been very low, 0.14. Gold led bitcoin in the last two major bitcoin bull markets.", "reply_text": null, "parent_text": null, "quoted_text": "@CathieDWood Agreed, however, I do think the point of \"where else is the money going to go\" is a valid one.\n\nMost American's have no idea where to put their capital right now.", "parent_author": null, "ret_m1d": 0.12340137394772, "ret_signed_m1d": 0.12340137394772, "alpha_spy_m1d": 0.12834814389387472, "alpha_c_m1d": null, "bench_spy_m1d": -0.004946769946154728, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.0661163319748288, "ret_signed_p1d": -0.0661163319748288, "alpha_spy_p1d": -0.05766093554412821, "alpha_c_p1d": null, "bench_spy_p1d": -0.00845539643070059, "bench_c_p1d": null, "ret_p1w": -0.17008878028382324, "ret_signed_p1w": -0.17008878028382324, "alpha_spy_p1w": -0.16798934253358266, "alpha_c_p1w": null, "bench_spy_p1w": -0.0020994377502405737, "bench_c_p1w": null, "ret_p1m": -0.16704516234758993, "ret_signed_p1m": -0.16704516234758993, "alpha_spy_p1m": -0.14536018379609017, "alpha_c_p1m": null, "bench_spy_p1m": -0.021684978551499756, "bench_c_p1m": null, "ret_p3m": -0.20529490347903712, "ret_signed_p3m": -0.20529490347903712, "alpha_spy_p3m": -0.24155071048601073, "alpha_c_p3m": null, "bench_spy_p3m": 0.03625580700697362, "bench_c_p3m": null, "ret_p6m": null, "ret_signed_p6m": null, "alpha_spy_p6m": null, "alpha_c_p6m": null, "bench_spy_p6m": null, "bench_c_p6m": null, "price_path": [0.5561, 0.4843, 0.5479, 0.602, 0.4795, 0.467, 0.389, 0.3274, 0.2525, 0.3469, 0.3091, 0.278, 0.23, 0.3245, 0.3295, 0.3689, 0.3482, 0.3151, 0.2129, 0.3274, 0.387, 0.3306, 0.2762, 0.2757, 0.32, 0.3063, 0.3054, 0.2666, 0.2229, 0.2372, 0.1785, 0.1445, 0.2079, 0.2042, 0.1856, 0.1722, 0.1481, 0.1697, 0.1786, 0.1958, 0.1916, 0.2134, 0.2648, 0.3208, 0.3506, 0.3048, 0.3237, 0.2995, 0.3318, 0.3914, 0.4047, 0.3624, 0.3866, 0.2763, 0.2033, 0.2384, 0.228, 0.2191, 0.1883, 0.2162, 0.1976, 0.1257, 0.1234, 0.0, -0.0661, -0.1191, -0.2516, -0.1628, -0.1701, -0.2063, -0.2414, -0.25, -0.1929, -0.1727, -0.1845, -0.2192, -0.2113, -0.1899, -0.2557, -0.2435, -0.1585, -0.1777, -0.2156, -0.1707, -0.167, -0.1305, -0.151, -0.1894, -0.187, -0.1784, -0.1714, -0.1685, -0.1562, -0.0789, -0.0935, -0.1379, -0.1489, -0.1399, -0.1249, -0.1306, -0.1222, -0.1726, -0.2053, -0.2108, -0.2045, -0.2228, -0.2443, -0.2307, -0.2328, -0.1802, -0.2095, -0.2027, -0.188, -0.1705, -0.1981, -0.1872, -0.1481, -0.1493, -0.1832, -0.1765, -0.168, -0.1755, -0.1746, -0.1881, -0.1956, -0.2053, -0.2053, -0.1986, -0.1951, -0.1738, -0.1467, -0.1538, -0.1199, -0.0682, -0.0975, -0.1281, -0.118, -0.1462, -0.1835, -0.194, -0.1764, -0.1657, -0.193, -0.1863, -0.1999, -0.2116, -0.2152, -0.2157, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null]}
{"unit_id": "thread:1635259814292123649", "ticker_idx": 0, "ts": "2023-03-13T12:41:36+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": false, "explicit_audit": "flipped_to_implicit", "polarity_reversed": false, "quote": "not surprised that #BTC and #ETH appreciated as US regional bank stocks imploded. Their blockchains are decentralized, transparent, and auditable", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bearish US regional banks on Fed inversion/deflation risk; bullish BTC and ETH as decentralized alternatives amid banking crisis.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "self_thread", "lang": "en", "tweet_text": "US demand deposits - which make up the vast majority of M2 - have been falling since last August.  Now we are seeing the consequences of the yield curve inversion that began last July, which I feared last September and described in the thread below. The inversion has worsened.\n\n---\n\nMany banks parked the COVID stimulus gusher in long term bonds at record low 1-2% interest rates, never expecting the Fed funds rate to surge a record-breaking 19-fold to 4.75% in less than a year. Now deposit outflows are forcing them to sell “safe” securities at losses.\n\n---\n\nDeposits are leaving banks to take advantage of higher yields in money market and other funds. At Silicon Valley Bank, start-ups were responding to a drought in venture capital funding by draining deposits to fund their operations.\n\n---\n\nTonight the FDIC (Federal Deposit Insurance Corp) announced that all depositors, both insured and uninsured, at SVB and Signature Bank, will be made whole while equity and bond holders are wiped out. Why, I wonder, will equity and bond investors remain loyal to regional banks?\n\n---\n\nIf the Fed continues to focus on lagging indicators like the CPI, and does not pivot in response to the deflationary forces telegraphed by the inverted yield curve, then this crisis will devour more regional banks and further centralize, if not nationalize, the US banking system.\n\n---\n\nAs a result, @yassineARK and the crypto team at @ARKInvest are not surprised that #BTC and #ETH appreciated as  US regional bank stocks imploded. Their blockchains are decentralized, transparent, and auditable. Banks are not and, in the last few days, have become less so.\n\n---\n\nRegulators have focused investors on the threat that crypto poses to users, but this weekend turned that theory upside down. As a single point of failure in the US banking system, SVB became the threat to stablecoins and the DeFi ecosystem when it broke Circle’s USDC peg to the $\n\n---\n\nThe Fed always follows the fixed income market. The bond market now is demanding that the Fed ease, dramatically.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.16573131768580818, "ret_signed_m1d": -0.16573131768580818, "alpha_spy_m1d": -0.16715870958332069, "alpha_c_m1d": null, "bench_spy_m1d": 0.0014273918975125088, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.022669294883089997, "ret_signed_p1d": 0.022669294883089997, "alpha_spy_p1d": 0.006139255755584161, "alpha_c_p1d": null, "bench_spy_p1d": 0.016530039127505836, "bench_c_p1d": null, "ret_p1w": 0.14752343121235967, "ret_signed_p1w": 0.14752343121235967, "alpha_spy_p1w": 0.12187812475762239, "alpha_c_p1w": null, "bench_spy_p1w": 0.025645306454737282, "bench_c_p1w": null, "ret_p1m": 0.24950995376029828, "ret_signed_p1m": 0.24950995376029828, "alpha_spy_p1m": 0.18223864810438495, "alpha_c_p1m": null, "bench_spy_p1m": 0.06727130565591333, "bench_c_p1m": null, "ret_p3m": 0.09549252704203681, "ret_signed_p3m": 0.09549252704203681, "alpha_spy_p3m": -0.022339545617076517, "alpha_c_p3m": null, "bench_spy_p3m": 0.11783207265911333, "bench_c_p3m": null, "ret_p6m": 0.06539712975972423, "ret_signed_p6m": 0.06539712975972423, "alpha_spy_p6m": -0.10916606758490888, "alpha_c_p6m": null, "bench_spy_p6m": 0.1745631973446331, "bench_c_p6m": null, "price_path": [-0.2637, -0.2824, -0.312, -0.3206, -0.3013, -0.305, -0.3045, -0.3058, -0.3008, -0.3091, -0.3159, -0.3122, -0.3139, -0.3103, -0.3107, -0.3031, -0.3042, -0.2994, -0.2893, -0.279, -0.2588, -0.2202, -0.1772, -0.1251, -0.1255, -0.145, -0.1286, -0.0629, -0.0522, -0.0645, -0.0446, -0.0481, -0.0462, -0.0561, -0.0437, -0.0196, -0.03, -0.0309, -0.0594, -0.0386, -0.052, -0.0983, -0.1052, -0.0987, -0.0817, 0.0046, -0.0237, 0.0152, 0.0261, 0.0099, -0.0004, -0.0103, -0.0413, -0.0279, -0.0434, -0.0228, -0.0298, -0.0758, -0.0731, -0.0817, -0.1025, -0.1585, -0.1657, 0.0, 0.0227, 0.0074, 0.0353, 0.1333, 0.1475, 0.1644, 0.1285, 0.1709, 0.1362, 0.1216, 0.1269, 0.1715, 0.1585, 0.1769, 0.1485, 0.1641, 0.1645, 0.159, 0.1541, 0.2255, 0.2495, 0.2455, 0.2563, 0.2599, 0.2169, 0.2562, 0.1911, 0.1673, 0.1273, 0.1375, 0.1699, 0.1746, 0.218, 0.2125, 0.1609, 0.1853, 0.1987, 0.1922, 0.2206, 0.1445, 0.143, 0.1415, 0.1158, 0.1078, 0.1238, 0.1173, 0.1323, 0.1089, 0.1113, 0.1097, 0.1251, 0.0883, 0.0942, 0.1042, 0.1466, 0.1448, 0.1249, 0.1084, 0.1261, 0.0646, 0.1257, 0.0888, 0.0955, 0.0943, 0.0705, 0.0711, 0.0383, 0.057, 0.088, 0.1097, 0.1707, 0.2409, 0.2362, 0.2685, 0.251, 0.2682, 0.2434, 0.2582, 0.2595, 0.2876, 0.2719, 0.261, 0.236, 0.2539, 0.2569, 0.2655, 0.256, 0.3008, 0.2536, 0.2458, 0.2339, 0.2362, 0.2312, 0.236, 0.2058, 0.2079, 0.2131, 0.2072, 0.2117, 0.208, 0.2264, 0.2047, 0.2059, 0.2015, 0.2059, 0.2301, 0.2217, 0.2162, 0.2149, 0.2153, 0.2055, 0.1861, 0.102, 0.0765, 0.0796, 0.0758, 0.0923, 0.0812, 0.0765, 0.0789, 0.1459, 0.1281, 0.0717, 0.0663, 0.0667, 0.0654]}
{"unit_id": "thread:1635259814292123649", "ticker_idx": 1, "ts": "2023-03-13T12:41:36+00:00", "symbol": "ETH-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": false, "explicit_audit": "flipped_to_implicit", "polarity_reversed": false, "quote": "not surprised that #BTC and #ETH appreciated as US regional bank stocks imploded. Their blockchains are decentralized, transparent, and auditable", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bearish US regional banks on Fed inversion/deflation risk; bullish BTC and ETH as decentralized alternatives amid banking crisis.", "resolved_tickers": ["ETH-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "self_thread", "lang": "en", "tweet_text": "US demand deposits - which make up the vast majority of M2 - have been falling since last August.  Now we are seeing the consequences of the yield curve inversion that began last July, which I feared last September and described in the thread below. The inversion has worsened.\n\n---\n\nMany banks parked the COVID stimulus gusher in long term bonds at record low 1-2% interest rates, never expecting the Fed funds rate to surge a record-breaking 19-fold to 4.75% in less than a year. Now deposit outflows are forcing them to sell “safe” securities at losses.\n\n---\n\nDeposits are leaving banks to take advantage of higher yields in money market and other funds. At Silicon Valley Bank, start-ups were responding to a drought in venture capital funding by draining deposits to fund their operations.\n\n---\n\nTonight the FDIC (Federal Deposit Insurance Corp) announced that all depositors, both insured and uninsured, at SVB and Signature Bank, will be made whole while equity and bond holders are wiped out. Why, I wonder, will equity and bond investors remain loyal to regional banks?\n\n---\n\nIf the Fed continues to focus on lagging indicators like the CPI, and does not pivot in response to the deflationary forces telegraphed by the inverted yield curve, then this crisis will devour more regional banks and further centralize, if not nationalize, the US banking system.\n\n---\n\nAs a result, @yassineARK and the crypto team at @ARKInvest are not surprised that #BTC and #ETH appreciated as  US regional bank stocks imploded. Their blockchains are decentralized, transparent, and auditable. Banks are not and, in the last few days, have become less so.\n\n---\n\nRegulators have focused investors on the threat that crypto poses to users, but this weekend turned that theory upside down. As a single point of failure in the US banking system, SVB became the threat to stablecoins and the DeFi ecosystem when it broke Circle’s USDC peg to the $\n\n---\n\nThe Fed always follows the fixed income market. The bond market now is demanding that the Fed ease, dramatically.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.14946708307267997, "ret_signed_m1d": -0.14946708307267997, "alpha_spy_m1d": -0.15089447497019248, "alpha_c_m1d": null, "bench_spy_m1d": 0.0014273918975125088, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.013805865867504874, "ret_signed_p1d": 0.013805865867504874, "alpha_spy_p1d": -0.0027241732600009616, "alpha_c_p1d": null, "bench_spy_p1d": 0.016530039127505836, "bench_c_p1d": null, "ret_p1w": 0.03273941305582362, "ret_signed_p1w": 0.03273941305582362, "alpha_spy_p1w": 0.007094106601086336, "alpha_c_p1w": null, "bench_spy_p1w": 0.025645306454737282, "bench_c_p1w": null, "ret_p1m": 0.12609629678438017, "ret_signed_p1m": 0.12609629678438017, "alpha_spy_p1m": 0.05882499112846684, "alpha_c_p1m": null, "bench_spy_p1m": 0.06727130565591333, "bench_c_p1m": null, "ret_p3m": 0.09878714205376493, "ret_signed_p3m": 0.09878714205376493, "alpha_spy_p3m": -0.019044930605348398, "alpha_c_p3m": null, "bench_spy_p3m": 0.11783207265911333, "bench_c_p3m": null, "ret_p6m": -0.02778034667551421, "ret_signed_p6m": -0.02778034667551421, "alpha_spy_p6m": -0.20234354402014731, "alpha_c_p6m": null, "bench_spy_p6m": 0.1745631973446331, "bench_c_p6m": null, "price_path": [-0.2208, -0.2464, -0.3047, -0.3051, -0.2753, -0.2778, -0.275, -0.2738, -0.2698, -0.2782, -0.2918, -0.2849, -0.2863, -0.2771, -0.2771, -0.2522, -0.2558, -0.2446, -0.2135, -0.2046, -0.174, -0.1561, -0.1361, -0.0616, -0.0669, -0.0981, -0.076, -0.0122, -0.031, -0.0736, -0.0408, -0.0459, -0.0489, -0.0672, -0.0558, -0.0229, -0.0221, -0.0093, -0.0381, -0.0049, -0.0176, -0.0797, -0.0985, -0.103, -0.0735, -0.0039, -0.0239, 0.0086, 0.0133, -0.0133, -0.0221, -0.0174, -0.0428, -0.0274, -0.0443, -0.01, -0.0196, -0.0661, -0.0672, -0.0704, -0.087, -0.1438, -0.1495, 0.0, 0.0138, -0.0144, -0.0018, 0.0668, 0.0327, 0.0753, 0.0342, 0.081, 0.0427, 0.0209, 0.055, 0.0671, 0.0669, 0.0843, 0.0774, 0.1135, 0.1362, 0.1146, 0.1103, 0.1374, 0.1261, 0.1431, 0.1978, 0.2507, 0.2356, 0.2525, 0.1524, 0.1564, 0.101, 0.0967, 0.111, 0.1108, 0.136, 0.1263, 0.0902, 0.1134, 0.1335, 0.1175, 0.1873, 0.1004, 0.1002, 0.0965, 0.0691, 0.076, 0.0817, 0.0856, 0.0842, 0.0723, 0.0787, 0.0817, 0.1036, 0.0713, 0.0748, 0.0883, 0.1266, 0.1314, 0.1153, 0.1082, 0.1351, 0.0783, 0.1215, 0.0905, 0.0988, 0.0952, 0.037, 0.035, -0.0177, -0.0088, 0.0216, 0.0341, 0.0665, 0.1254, 0.1146, 0.1265, 0.1066, 0.1246, 0.0879, 0.1023, 0.1505, 0.1637, 0.1525, 0.137, 0.1002, 0.1132, 0.1192, 0.1179, 0.1141, 0.1941, 0.1542, 0.1377, 0.1293, 0.1242, 0.1254, 0.126, 0.101, 0.1056, 0.1142, 0.1072, 0.1157, 0.1047, 0.114, 0.0945, 0.0921, 0.0877, 0.0873, 0.1044, 0.1035, 0.1014, 0.0993, 0.0975, 0.0873, 0.0746, 0.0028, -0.0115, -0.0078, -0.0276, -0.0006, -0.0121, -0.0163, -0.0166, 0.0294, 0.0148, -0.0206, -0.0308, -0.0301, -0.0278]}
{"unit_id": "thread:1635259814292123649", "ticker_idx": 2, "ts": "2023-03-13T12:41:36+00:00", "symbol": "US regional banks", "kind": "sector", "geography": "US", "sub_sector": null, "direction": "short", "conviction": "high", "explicit": false, "explicit_audit": "kept_implicit_alias_present", "polarity_reversed": false, "quote": "If the Fed continues to focus on lagging indicators like the CPI, and does not pivot in response to the deflationary forces telegraphed by the inverted yield curve, then this crisis will devour more regional banks", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bearish US regional banks on Fed inversion/deflation risk; bullish BTC and ETH as decentralized alternatives amid banking crisis.", "resolved_tickers": ["KRE"], "resolution_method": "etf", "resolution_reason": "US regional banks; KRE is standard ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "self_thread", "lang": "en", "tweet_text": "US demand deposits - which make up the vast majority of M2 - have been falling since last August.  Now we are seeing the consequences of the yield curve inversion that began last July, which I feared last September and described in the thread below. The inversion has worsened.\n\n---\n\nMany banks parked the COVID stimulus gusher in long term bonds at record low 1-2% interest rates, never expecting the Fed funds rate to surge a record-breaking 19-fold to 4.75% in less than a year. Now deposit outflows are forcing them to sell “safe” securities at losses.\n\n---\n\nDeposits are leaving banks to take advantage of higher yields in money market and other funds. At Silicon Valley Bank, start-ups were responding to a drought in venture capital funding by draining deposits to fund their operations.\n\n---\n\nTonight the FDIC (Federal Deposit Insurance Corp) announced that all depositors, both insured and uninsured, at SVB and Signature Bank, will be made whole while equity and bond holders are wiped out. Why, I wonder, will equity and bond investors remain loyal to regional banks?\n\n---\n\nIf the Fed continues to focus on lagging indicators like the CPI, and does not pivot in response to the deflationary forces telegraphed by the inverted yield curve, then this crisis will devour more regional banks and further centralize, if not nationalize, the US banking system.\n\n---\n\nAs a result, @yassineARK and the crypto team at @ARKInvest are not surprised that #BTC and #ETH appreciated as  US regional bank stocks imploded. Their blockchains are decentralized, transparent, and auditable. Banks are not and, in the last few days, have become less so.\n\n---\n\nRegulators have focused investors on the threat that crypto poses to users, but this weekend turned that theory upside down. As a single point of failure in the US banking system, SVB became the threat to stablecoins and the DeFi ecosystem when it broke Circle’s USDC peg to the $\n\n---\n\nThe Fed always follows the fixed income market. The bond market now is demanding that the Fed ease, dramatically.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.14038232925657157, "ret_signed_m1d": -0.14038232925657157, "alpha_spy_m1d": -0.13895493735905906, "alpha_c_m1d": -0.13895493735905906, "bench_spy_m1d": 0.0014273918975125088, "bench_c_m1d": 0.0014273918975125088, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.020922266015203528, "ret_signed_p1d": -0.020922266015203528, "alpha_spy_p1d": -0.004392226887697692, "alpha_c_p1d": -0.004392226887697692, "bench_spy_p1d": 0.016530039127505836, "bench_c_p1d": 0.016530039127505836, "ret_p1w": -0.011764594752241675, "ret_signed_p1w": 0.011764594752241675, "alpha_spy_p1w": 0.03740990120697896, "alpha_c_p1w": 0.03740990120697896, "bench_spy_p1w": 0.025645306454737282, "bench_c_p1w": 0.025645306454737282, "ret_p1m": -0.025149944386324896, "ret_signed_p1m": 0.025149944386324896, "alpha_spy_p1m": 0.09242125004223822, "alpha_c_p1m": 0.09242125004223822, "bench_spy_p1m": 0.06727130565591333, "bench_c_p1m": 0.06727130565591333, "ret_p3m": -0.0004211997912421106, "ret_signed_p3m": 0.0004211997912421106, "alpha_spy_p3m": 0.11825327245035544, "alpha_c_p3m": 0.11825327245035544, "bench_spy_p3m": 0.11783207265911333, "bench_c_p3m": 0.11783207265911333, "ret_p6m": 0.021061878773996012, "ret_signed_p6m": -0.021061878773996012, "alpha_spy_p6m": 0.1535013185706371, "alpha_c_p6m": 0.1535013185706371, "bench_spy_p6m": 0.1745631973446331, "bench_c_p6m": 0.1745631973446331, "price_path": [0.3067, 0.2828, 0.2719, 0.2785, 0.2848, 0.3062, 0.3012, 0.3098, 0.3098, 0.3111, 0.3019, 0.3264, 0.3215, 0.3215, 0.3123, 0.33, 0.3048, 0.3431, 0.3309, 0.3411, 0.3485, 0.3651, 0.3636, 0.3636, 0.3552, 0.3069, 0.3084, 0.3447, 0.366, 0.3498, 0.353, 0.3624, 0.371, 0.357, 0.3975, 0.4173, 0.4551, 0.456, 0.4421, 0.4576, 0.4412, 0.42, 0.4171, 0.4286, 0.4232, 0.44, 0.4146, 0.4218, 0.4218, 0.3888, 0.382, 0.3874, 0.3876, 0.3872, 0.3849, 0.3766, 0.3417, 0.3584, 0.3483, 0.3048, 0.2981, 0.1928, 0.1404, 0.0, 0.0209, 0.0043, 0.0396, -0.0227, -0.0118, 0.0452, -0.0143, -0.0417, -0.0127, -0.0041, -0.005, 0.0057, -0.0147, -0.005, -0.0154, -0.0372, -0.0469, -0.0329, -0.0329, -0.0279, -0.0251, -0.0358, -0.0211, -0.0401, -0.0115, -0.0329, 0.0053, -0.0136, -0.0261, -0.031, -0.0719, -0.0662, -0.0487, -0.0322, -0.0594, -0.1184, -0.1343, -0.1815, -0.13, -0.1474, -0.1511, -0.1592, -0.1801, -0.1749, -0.1488, -0.1615, -0.0998, -0.0943, -0.1105, -0.0821, -0.073, -0.0896, -0.0971, -0.086, -0.086, -0.0878, -0.1159, -0.098, -0.0424, -0.0671, -0.0208, 0.0116, -0.0004, -0.014, -0.0213, 0.0014, -0.0279, -0.0093, -0.0229, -0.0229, -0.0355, -0.0504, -0.0804, -0.0937, -0.0822, -0.0666, -0.0717, -0.0543, -0.065, -0.0435, -0.0435, -0.0561, -0.0705, -0.0504, -0.0428, -0.03, -0.0105, 0.0064, -0.0124, 0.0048, 0.0472, 0.0797, 0.0756, 0.0621, 0.0888, 0.0682, 0.1188, 0.0998, 0.1156, 0.1149, 0.103, 0.098, 0.1076, 0.112, 0.123, 0.1085, 0.0925, 0.0916, 0.0943, 0.073, 0.0373, 0.0256, 0.0256, 0.0247, 0.0179, -0.0112, 0.0016, 0.0062, -0.0009, 0.0135, 0.0231, 0.0156, 0.0204, 0.0446, 0.0446, 0.0211]}
{"unit_id": "quote:1750027358763921547", "ticker_idx": 0, "ts": "2024-01-24T05:26:50+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Many in the investment community are underestimating #bitcoin", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish BTC; investment community is underestimating it, ARKInvest has conviction.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Many in the investment community are underestimating #bitcoin. @ARKInvest knows bitcoin.", "reply_text": null, "parent_text": null, "quoted_text": "10 years ago, Bitcoin mining was a hobbyist activity.\n\nToday, it generates more annual revenue than some of the largest publicly traded companies in the world.\n\nSpotify, eBay, Hermes, Chipotle, Hertz, and Hilton all generate less annual revenue than bitcoin miners. https://t.co/NKPEnvDnyW", "parent_author": null, "ret_m1d": -0.005776954580972937, "ret_signed_m1d": -0.005776954580972937, "alpha_spy_m1d": -0.004684913912665234, "alpha_c_m1d": null, "bench_spy_m1d": -0.0010920406683077033, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.0035747525934159974, "ret_signed_p1d": -0.0035747525934159974, "alpha_spy_p1d": -0.009013572507291734, "alpha_c_p1d": null, "bench_spy_p1d": 0.0054388199138757365, "bench_c_p1d": null, "ret_p1w": 0.062517818449626, "ret_signed_p1w": 0.062517818449626, "alpha_spy_p1w": 0.06768899020396568, "alpha_c_p1w": null, "bench_spy_p1w": -0.005171171754339676, "bench_c_p1w": null, "ret_p1m": 0.28015763766126023, "ret_signed_p1m": 0.28015763766126023, "alpha_spy_p1m": 0.23460667297473137, "alpha_c_p1m": null, "bench_spy_p1m": 0.04555096468652886, "bench_c_p1m": null, "ret_p3m": 0.6677285203676393, "ret_signed_p3m": 0.6677285203676393, "alpha_spy_p3m": 0.635007224663712, "alpha_c_p3m": null, "bench_spy_p3m": 0.032721295703927344, "bench_c_p3m": null, "ret_p6m": 0.5962758672717638, "ret_signed_p6m": 0.5962758672717638, "alpha_spy_p6m": 0.45046421211500176, "alpha_c_p6m": null, "bench_spy_p6m": 0.1458116551567621, "bench_c_p6m": null, "price_path": [-0.1539, -0.1391, -0.135, -0.1158, -0.1282, -0.1334, -0.1258, -0.1156, -0.1103, -0.0844, -0.0689, -0.0892, -0.1133, -0.0548, -0.0979, -0.0868, -0.0649, -0.1064, -0.066, -0.0696, -0.0588, -0.0704, -0.056, -0.0554, -0.059, -0.0346, 0.0475, 0.0999, 0.0916, 0.0802, 0.102, 0.0291, 0.0343, 0.0702, 0.0735, 0.0462, 0.0635, 0.0547, 0.0892, 0.0946, 0.0978, 0.0882, 0.061, 0.084, 0.0636, 0.0505, 0.1021, 0.1218, 0.0691, 0.1024, 0.1019, 0.172, 0.1513, 0.1635, 0.157, 0.0693, 0.0608, 0.0768, 0.0665, 0.0296, 0.0385, -0.0142, -0.0058, 0.0, -0.0036, 0.0434, 0.0801, 0.0718, 0.0625, 0.0748, 0.0776, 0.0644, 0.075, 0.1058, 0.1304, 0.1764, 0.2466, 0.2412, 0.2932, 0.296, 0.3015, 0.292, 0.3046, 0.2935, 0.2802, 0.2659, 0.3604, 0.4244, 0.5596, 0.527, 0.558, 0.705, 0.592, 0.6495, 0.6699, 0.7042, 0.7996, 0.7836, 0.8236, 0.7815, 0.7318, 0.6855, 0.5448, 0.6946, 0.6341, 0.5914, 0.7456, 0.7463, 0.733, 0.7652, 0.744, 0.7392, 0.633, 0.6463, 0.7094, 0.6927, 0.7873, 0.7252, 0.7613, 0.7481, 0.6767, 0.5826, 0.5922, 0.529, 0.5848, 0.593, 0.6677, 0.657, 0.6038, 0.6089, 0.5908, 0.593, 0.513, 0.4535, 0.4752, 0.5692, 0.576, 0.5554, 0.5268, 0.5732, 0.5169, 0.5695, 0.5359, 0.6535, 0.6277, 0.6731, 0.7828, 0.75, 0.7247, 0.695, 0.7099, 0.7315, 0.7041, 0.6862, 0.7058, 0.684, 0.7168, 0.7608, 0.7737, 0.7655, 0.7302, 0.7345, 0.6801, 0.7027, 0.6657, 0.6471, 0.6591, 0.6254, 0.6209, 0.6176, 0.5993, 0.504, 0.5421, 0.5174, 0.5372, 0.5051, 0.5683, 0.5477, 0.5015, 0.4217, 0.4138, 0.4149, 0.4474, 0.4408, 0.4309, 0.4447, 0.6186, 0.6243, 0.5999, 0.5963]}
{"unit_id": "quote:1649159123768954881", "ticker_idx": 0, "ts": "2023-04-20T21:12:29+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Our latest Tesla price target is out! $2,000 per share in 2027", "tweet_type": "news_reaction", "timeline": "years", "summary": "ARK endorses $2,000 TSLA price target by 2027, driven by autonomy representing significant portion of future enterprise value.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "Based on in-depth and differentiated research, @TashaARK, @skorusARK, and @DMaguireARK just published an update to ARK's #Tesla open-source model. If you disagree with any of the 40+ assumptions, please feel free to change them, and watch what happens to the price target!", "reply_text": null, "parent_text": null, "quoted_text": "1/ Our latest Tesla price target is out! $2,000 per share in 2027. Check it out! https://t.co/ltnXj907JT Similar to last year, we believe autonomy will represent a significant portion of Tesla’s future enterprise value.", "parent_author": null, "ret_m1d": 0.10798202498045018, "ret_signed_m1d": 0.10798202498045018, "alpha_spy_m1d": 0.10249500710121362, "alpha_c_m1d": 0.09233981020332571, "bench_spy_m1d": 0.005487017879236555, "bench_c_m1d": 0.015642214777124464, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.012822849668400638, "ret_signed_p1d": 0.012822849668400638, "alpha_spy_p1d": 0.012045886581577347, "alpha_c_p1d": 0.0017771781774393869, "bench_spy_p1d": 0.0007769630868232902, "bench_c_p1d": 0.01104567149096125, "ret_p1w": -0.017178986179463895, "ret_signed_p1w": -0.017178986179463895, "alpha_spy_p1w": -0.01846573745356872, "alpha_c_p1w": -0.02897914430733295, "bench_spy_p1w": 0.0012867512741048248, "bench_c_p1w": 0.011800158127869054, "ret_p1m": 0.10522113822005896, "ret_signed_p1m": 0.10522113822005896, "alpha_spy_p1m": 0.08885709909918593, "alpha_c_p1m": 0.06549821600845718, "bench_spy_p1m": 0.01636403912087303, "bench_c_p1m": 0.039722922211601785, "ret_p3m": 0.7997422323554284, "ret_signed_p3m": 0.7997422323554284, "alpha_spy_p3m": 0.6929219347318298, "alpha_c_p3m": 0.5874430166653677, "bench_spy_p3m": 0.10682029762359857, "bench_c_p3m": 0.21229921569006072, "ret_p6m": 0.5407079370134733, "ret_signed_p6m": 0.5407079370134733, "alpha_spy_p6m": 0.48547210588741274, "alpha_c_p6m": 0.445942033844801, "bench_spy_p6m": 0.055235831126060564, "bench_c_p6m": 0.09476590316867228, "price_path": [-0.118, -0.1172, -0.1139, -0.0167, 0.0915, 0.0225, 0.0628, 0.113, 0.1551, 0.1656, 0.1949, 0.2075, 0.235, 0.272, 0.208, 0.1942, 0.2838, 0.3144, 0.2396, 0.2781, 0.2781, 0.2109, 0.2323, 0.2398, 0.2079, 0.2739, 0.2621, 0.2441, 0.1712, 0.2135, 0.1891, 0.1517, 0.1166, 0.0609, 0.0641, 0.0705, 0.1244, 0.1071, 0.1297, 0.1052, 0.1243, 0.2122, 0.1728, 0.1793, 0.1682, 0.1768, 0.1607, 0.1895, 0.1981, 0.2728, 0.195, 0.1815, 0.1382, 0.1354, 0.1354, 0.132, 0.146, 0.1077, 0.1406, 0.135, 0.1476, 0.1308, 0.108, 0.0, 0.0128, -0.0027, -0.0142, -0.0567, -0.0172, 0.0081, -0.0071, -0.0164, -0.0146, -0.011, 0.0434, 0.054, 0.0378, 0.0341, 0.0558, 0.0306, 0.0206, 0.0217, 0.0667, 0.0853, 0.1052, 0.1588, 0.1398, 0.1222, 0.1318, 0.1852, 0.1852, 0.2342, 0.2512, 0.2732, 0.3128, 0.3351, 0.3578, 0.3778, 0.4409, 0.4995, 0.5328, 0.5873, 0.5755, 0.57, 0.5985, 0.5985, 0.6838, 0.5919, 0.6235, 0.5743, 0.4789, 0.5351, 0.5721, 0.5799, 0.606, 0.7168, 0.7168, 0.7331, 0.6967, 0.6837, 0.6542, 0.6553, 0.6688, 0.705, 0.7264, 0.7816, 0.7997, 0.787, 0.613, 0.5953, 0.6508, 0.6276, 0.6219, 0.5689, 0.6347, 0.6408, 0.6018, 0.5591, 0.591, 0.5575, 0.5427, 0.532, 0.4859, 0.5052, 0.4887, 0.471, 0.4293, 0.3841, 0.345, 0.3221, 0.419, 0.4307, 0.4532, 0.4114, 0.4638, 0.4652, 0.5779, 0.5762, 0.5834, 0.5032, 0.5032, 0.5737, 0.5456, 0.543, 0.5246, 0.6785, 0.6411, 0.6645, 0.6936, 0.6835, 0.6276, 0.6351, 0.6111, 0.5688, 0.5024, 0.5154, 0.4978, 0.4756, 0.5116, 0.5352, 0.5437, 0.5125, 0.6023, 0.5955, 0.5984, 0.5932, 0.6174, 0.6135, 0.5883, 0.5407]}
{"unit_id": "quote:1053027098959462401", "ticker_idx": 0, "ts": "2018-10-18T20:56:39+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Tesla could be the next Apple", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish TSLA: author argues Tesla mirrors Apple's trajectory and dismisses bearish thesis.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "In his last letter, @davidein highlighted the great call that he made on $AAPL in 2010, and then tried to torch $TSLA.  What he doesn't seem to realize is that Tesla could be the next Apple. Read our full take below:\nhttps://t.co/6ayfcknBog", "reply_text": null, "parent_text": null, "quoted_text": "Tesla Through the Lens of Apple 🔎 — a new collaborative piece from the @ARKInvest research team.\n\nWe outline all the ways that Tesla mirrors Apple's product &amp; business strategy (and the ways it doesn't).\n\nShare, enjoy, and send us feedback. 🙏\n\nhttps://t.co/kXIHXYw9WN", "parent_author": null, "ret_m1d": 0.029820833463875873, "ret_signed_m1d": 0.029820833463875873, "alpha_spy_m1d": 0.015168323743239176, "alpha_c_m1d": 0.01026592670704507, "bench_spy_m1d": 0.014652509720636697, "bench_c_m1d": 0.019554906756830803, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.014815721435600171, "ret_signed_p1d": -0.014815721435600171, "alpha_spy_p1d": -0.014272939582951394, "alpha_c_p1d": -0.0050384205641980095, "bench_spy_p1d": -0.0005427818526487771, "bench_c_p1d": -0.009777300871402161, "ret_p1w": 0.1930582873127924, "ret_signed_p1w": 0.1930582873127924, "alpha_spy_p1w": 0.21592372353772016, "alpha_c_p1w": 0.19920409118526572, "bench_spy_p1w": -0.02286543622492776, "bench_c_p1w": -0.006145803872473321, "ret_p1m": 0.3425410189994431, "ret_signed_p1m": 0.3425410189994431, "alpha_spy_p1m": 0.3522008891193671, "alpha_c_p1m": 0.35203923203664245, "bench_spy_p1m": -0.009659870119923974, "bench_c_p1m": -0.009498213037199332, "ret_p3m": 0.305104016847632, "ret_signed_p3m": 0.305104016847632, "alpha_spy_p3m": 0.35767138986952274, "alpha_c_p3m": 0.3246490106486032, "bench_spy_p3m": -0.05256737302189074, "bench_c_p3m": -0.01954499380097119, "ret_p6m": 0.014360945513291368, "ret_signed_p6m": 0.014360945513291368, "alpha_spy_p6m": -0.04620346712795986, "alpha_c_p6m": -0.09551021579940056, "bench_spy_p6m": 0.06056441264125123, "bench_c_p6m": 0.10987116131269192, "price_path": [0.1489, 0.127, 0.1699, 0.1619, 0.1261, 0.0995, 0.1297, 0.1399, 0.3245, 0.3193, 0.2959, 0.4383, 0.4033, 0.3355, 0.347, 0.3505, 0.3173, 0.2834, 0.2711, 0.1576, 0.1687, 0.2197, 0.2187, 0.2129, 0.2232, 0.2098, 0.1817, 0.1557, 0.1487, 0.143, 0.143, 0.0949, 0.0638, 0.0646, -0.0025, 0.0818, 0.0588, 0.1009, 0.0968, 0.1186, 0.1172, 0.0798, 0.133, 0.1304, 0.1333, 0.1355, 0.1405, 0.1731, 0.1652, 0.0033, 0.1773, 0.1406, 0.117, 0.0679, -0.0074, -0.0506, -0.0042, -0.0266, -0.0443, -0.0194, -0.0164, 0.048, 0.0298, 0.0, -0.0148, -0.0112, 0.1145, 0.0932, 0.1931, 0.2538, 0.2688, 0.25, 0.2782, 0.3045, 0.3126, 0.2936, 0.2923, 0.3192, 0.3315, 0.3281, 0.2553, 0.2835, 0.3035, 0.3203, 0.3425, 0.3394, 0.3167, 0.2815, 0.2815, 0.2346, 0.3111, 0.3032, 0.3181, 0.2928, 0.328, 0.3584, 0.363, 0.363, 0.3757, 0.3564, 0.3836, 0.3897, 0.3891, 0.4277, 0.3857, 0.3202, 0.2771, 0.2617, 0.195, 0.2117, 0.1193, 0.1193, 0.2356, 0.1979, 0.2651, 0.261, 0.261, 0.1751, 0.1381, 0.2038, 0.2692, 0.2707, 0.2827, 0.3072, 0.3158, 0.2671, 0.3051, 0.3112, 0.316, 0.1453, 0.1453, 0.1327, 0.0897, 0.1046, 0.1255, 0.123, 0.1271, 0.17, 0.1634, 0.183, 0.1856, 0.2176, 0.202, 0.1652, 0.1587, 0.1854, 0.1815, 0.1677, 0.151, 0.1666, 0.1666, 0.1581, 0.1465, 0.1035, 0.1167, 0.1321, 0.1286, 0.1926, 0.2121, 0.117, 0.0813, 0.0479, 0.0467, 0.048, 0.0767, 0.1023, 0.0737, 0.0949, 0.0987, 0.0437, 0.0211, 0.0135, 0.0367, 0.0383, 0.0023, -0.0132, 0.0146, 0.0414, 0.0557, 0.0604, 0.0958, 0.0832, 0.1057, 0.0147, 0.0419, 0.0352, 0.0318, 0.046, 0.0171, 0.0144]}
{"unit_id": "quote:841022095312146432", "ticker_idx": 0, "ts": "2017-03-12T20:24:27+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Woo's Law: #bitcoin user base doubles each year. Publicity this year about a potential ETF could have turbocharged the trend", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bitcoin user base doubling yearly and ETF publicity may have accelerated adoption, implying continued upside.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Woo's Law: #bitcoin user base doubles each year.  Publicity this year about a potential ETF could have turbocharged the trend https://t.co/n7C64froCA", "reply_text": null, "parent_text": null, "quoted_text": "Using Google Trends to Estimate Bitcoin's User Growth https://t.co/FC5XEeelS1 https://t.co/L2AwgVN90y", "parent_author": null, "ret_m1d": -0.09351262186890874, "ret_signed_m1d": -0.09351262186890874, "alpha_spy_m1d": -0.09300815861765943, "alpha_c_m1d": null, "bench_spy_m1d": -0.0005044632512493097, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.006558831552744948, "ret_signed_p1d": 0.006558831552744948, "alpha_spy_p1d": 0.010385335433648835, "alpha_c_p1d": null, "bench_spy_p1d": -0.0038265038809038865, "bench_c_p1d": null, "ret_p1w": -0.14423830860604991, "ret_signed_p1w": -0.14423830860604991, "alpha_spy_p1w": -0.1441964681802318, "alpha_c_p1w": null, "bench_spy_p1w": -4.18404258181182e-05, "bench_c_p1w": null, "ret_p1m": -0.02184397787173442, "ret_signed_p1m": -0.02184397787173442, "alpha_spy_p1m": -0.014580688037085121, "alpha_c_p1m": null, "bench_spy_p1m": -0.0072632898346493, "bench_c_p1m": null, "ret_p3m": 1.2774368604331658, "ret_signed_p3m": 1.2774368604331658, "alpha_spy_p3m": 1.2478729952220604, "alpha_c_p3m": null, "bench_spy_p3m": 0.029563865211105433, "bench_c_p3m": null, "ret_p6m": 2.552608634518275, "ret_signed_p6m": 2.552608634518275, "alpha_spy_p6m": 2.5083479295747284, "alpha_c_p6m": null, "bench_spy_p6m": 0.044260704943546614, "bench_c_p6m": null, "price_path": [-0.3656, -0.3684, -0.3629, -0.3565, -0.3499, -0.3228, -0.2982, -0.2516, -0.2633, -0.2425, -0.2078, -0.2098, -0.2197, -0.1706, -0.1527, -0.0627, -0.1774, -0.2676, -0.2671, -0.2632, -0.3687, -0.3467, -0.3311, -0.325, -0.263, -0.2803, -0.2702, -0.2735, -0.2524, -0.2754, -0.2682, -0.2552, -0.2534, -0.2529, -0.2123, -0.1972, -0.1787, -0.164, -0.1573, -0.1385, -0.1371, -0.1928, -0.1975, -0.1959, -0.1846, -0.1822, -0.166, -0.1507, -0.1233, -0.0947, -0.0929, -0.0529, -0.0473, -0.0422, -0.0422, -0.0076, 0.0155, 0.035, 0.0332, -0.0068, -0.0665, -0.0353, -0.0935, 0.0, 0.0066, 0.0144, -0.0358, -0.1069, -0.1442, -0.0904, -0.1484, -0.1569, -0.239, -0.1511, -0.15, -0.1558, -0.1668, -0.13, -0.0715, -0.0801, -0.087, -0.04, -0.0447, -0.0364, -0.0218, -0.0256, -0.0508, -0.0523, -0.0309, -0.0164, -0.0176, -0.0023, -0.008, 0.0148, 0.0273, 0.0399, 0.0697, 0.0686, 0.154, 0.1793, 0.2096, 0.2482, 0.2626, 0.3989, 0.4249, 0.4507, 0.5006, 0.3996, 0.4112, 0.4079, 0.4929, 0.5331, 0.6135, 0.7642, 0.8836, 0.9836, 0.871, 0.7878, 0.831, 0.7659, 0.856, 0.9546, 1.0201, 1.181, 1.3242, 1.2178, 1.2774, 1.2922, 1.1589, 1.2055, 1.0345, 1.0006, 1.0444, 1.1021, 1.2094, 1.1829, 1.1961, 1.2282, 1.0119, 1.0719, 1.0901, 1.0613, 1.0138, 1.0814, 1.1119, 1.1121, 1.1175, 1.0445, 0.9259, 0.8977, 0.9472, 0.914, 0.8129, 0.8089, 0.8823, 0.8454, 1.2872, 1.1655, 1.2362, 1.0914, 1.0533, 1.1688, 1.2802, 1.334, 1.2065, 1.2004, 1.2767, 1.3507, 1.7428, 1.7761, 1.7132, 1.7447, 1.9634, 2.5109, 2.3946, 2.5527, 2.5162, 2.3773, 2.2484, 2.3286, 2.37, 2.5186, 2.5486, 2.5576, 2.717, 2.7058, 2.8179, 2.971, 2.4388, 2.5526]}
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{"unit_id": "quote:817864401386700800", "ticker_idx": 1, "ts": "2017-01-07T22:44:03+00:00", "symbol": "GOOG", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$AMZN has a better shot than $GOOG", "tweet_type": "analysis", "timeline": "unspecified", "summary": "AMZN favored over GOOG in tech race; Alexa seen as the voice OS winner post-CES.", "resolved_tickers": ["GOOG"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLC", "bench_c_reason": "industry='Internet Content & Information'", "bench_c_industry": "Internet Content & Information", "unit_kind": "quote", "lang": "en", "tweet_text": "$AMZN has a better shot than $GOOG:  after attending #CES, #ARK analyst @jwan584 believes that #Alexa is the operating system for voice! https://t.co/bHEDPaMs0E", "reply_text": null, "parent_text": null, "quoted_text": "VC pioneer smacks down Apple's chance of winning the tech race to a $1 trillion value https://t.co/0ZS7yCkaSG", "parent_author": null, "ret_m1d": -0.0006199205918052675, "ret_signed_m1d": 0.0006199205918052675, "alpha_spy_m1d": 0.003931381726425598, "alpha_c_m1d": null, "bench_spy_m1d": 0.0033114611346203304, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.002305940586223132, "ret_signed_p1d": 0.002305940586223132, "alpha_spy_p1d": 0.002305940586223132, "alpha_c_p1d": null, "bench_spy_p1d": 0.0, "bench_c_p1d": null, "ret_p1w": 0.001524770075829407, "ret_signed_p1w": -0.001524770075829407, "alpha_spy_p1w": 0.0010804145865925818, "alpha_c_p1w": null, "bench_spy_p1w": 0.0026051846624219888, "bench_c_p1w": null, "ret_p1m": 0.0003965927920810408, "ret_signed_p1m": -0.0003965927920810408, "alpha_spy_p1m": 0.010554438523749488, "alpha_c_p1m": null, "bench_spy_p1m": 0.010951031315830528, "bench_c_p1m": null, "ret_p3m": 0.026318828373920855, "ret_signed_p3m": -0.026318828373920855, "alpha_spy_p3m": 0.017857555317289053, "alpha_c_p3m": null, "bench_spy_p3m": 0.04417638369120991, "bench_c_p3m": null, "ret_p6m": 0.11411392597589343, "ret_signed_p6m": -0.11411392597589343, "alpha_spy_p6m": -0.03467405550621794, "alpha_c_p6m": null, "bench_spy_p6m": 0.07943987046967549, "bench_c_p6m": null, "price_path": [-0.0254, -0.0353, -0.0349, -0.0331, -0.0141, -0.0064, -0.012, -0.009, 0.008, 0.0013, -0.0094, -0.014, -0.014, -0.0274, -0.0286, -0.047, -0.0552, -0.0553, -0.0299, -0.02, -0.0265, -0.0547, -0.0652, -0.0875, -0.0597, -0.0523, -0.0439, -0.0572, -0.0464, -0.0476, -0.0566, -0.0566, -0.0557, -0.0476, -0.0444, -0.0603, -0.0728, -0.0696, -0.0547, -0.0589, -0.044, -0.0375, -0.0215, -0.0215, -0.0131, -0.0119, -0.0109, -0.0196, -0.0154, -0.0127, -0.015, -0.0191, -0.0208, -0.0208, -0.0187, -0.0268, -0.0296, -0.0432, -0.0432, -0.0254, -0.0245, -0.0157, -0.0006, 0.0, -0.0023, 0.0016, -0.0004, 0.0015, 0.0015, -0.0025, -0.0007, -0.0055, -0.002, 0.0157, 0.0213, 0.036, 0.0316, 0.0207, -0.0054, -0.0122, -0.0136, -0.0101, -0.0064, -0.0066, 0.0004, 0.0021, 0.0036, 0.0087, 0.0156, 0.0171, 0.0153, 0.0217, 0.0266, 0.0266, 0.031, 0.0299, 0.0306, 0.0273, 0.0281, 0.0205, 0.0354, 0.0297, 0.0278, 0.0262, 0.0313, 0.0356, 0.0397, 0.0454, 0.0482, 0.0483, 0.0503, 0.0522, 0.0564, 0.0518, 0.0295, 0.0284, 0.0135, 0.0096, 0.0159, 0.0177, 0.0307, 0.0308, 0.0284, 0.0395, 0.0346, 0.0307, 0.0263, 0.0223, 0.0224, 0.0207, 0.0219, 0.021, 0.021, 0.0378, 0.0374, 0.0391, 0.0434, 0.0453, 0.0696, 0.0814, 0.0807, 0.0838, 0.1231, 0.1313, 0.1361, 0.1492, 0.155, 0.1494, 0.1582, 0.1556, 0.1514, 0.1537, 0.1557, 0.1617, 0.169, 0.14, 0.1532, 0.1579, 0.1676, 0.1762, 0.1839, 0.2019, 0.2043, 0.2043, 0.2098, 0.1961, 0.1987, 0.2094, 0.2195, 0.2106, 0.2161, 0.2191, 0.1775, 0.1689, 0.1819, 0.1787, 0.1682, 0.165, 0.1868, 0.1785, 0.1894, 0.1865, 0.197, 0.1805, 0.1496, 0.1659, 0.1378, 0.1265, 0.1141, 0.1141]}
{"unit_id": "quote:1514795387558641667", "ticker_idx": 0, "ts": "2022-04-15T02:38:58+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Our 5-year price target has increased more than 50% to $4,600", "tweet_type": "news_reaction", "timeline": "years", "summary": "ARK raises Tesla 5-year price target by over 50% to $4,600.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "With many thanks to @TashaARK, @skorusARK, and our Director of Research, @wintonARK for their excellent work, please take a look at Tasha’s blog and scenario test the update to our #Tesla model on GitHub. Our 5-year price target has increased more than 50% to $4,600.", "reply_text": null, "parent_text": null, "quoted_text": "Check out our latest Tesla valuation blog, now live! Notable updates this year include Tesla's increased capital efficiency (work from @skorusARK) and our latest autonomous driving expectations. Thanks to the full ARK team for all the hard work! https://t.co/SWx3Zm7NJT", "parent_author": null, "ret_m1d": 0.0, "ret_signed_m1d": 0.0, "alpha_spy_m1d": 0.0, "alpha_c_m1d": 0.0, "bench_spy_m1d": 0.0, "bench_c_m1d": 0.0, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.019583733431163042, "ret_signed_p1d": 0.019583733431163042, "alpha_spy_p1d": 0.019172676864033456, "alpha_c_p1d": 0.01655663797821716, "bench_spy_p1d": 0.00041105656712958627, "bench_c_p1d": 0.0030270954529458827, "ret_p1w": 0.0203552859433469, "ret_signed_p1w": 0.0203552859433469, "alpha_spy_p1w": 0.04719484879721103, "alpha_c_p1w": 0.03481691436946088, "bench_spy_p1w": -0.02683956285386413, "bench_c_p1w": -0.014461628426113982, "ret_p1m": -0.2645990125131671, "ret_signed_p1m": -0.2645990125131671, "alpha_spy_p1m": -0.1784844296847532, "alpha_c_p1m": -0.09996915210170665, "bench_spy_p1m": -0.08611458282841389, "bench_c_p1m": -0.16462986041146044, "ret_p3m": -0.2780508042373021, "ret_signed_p3m": -0.2780508042373021, "alpha_spy_p3m": -0.14711212341653856, "alpha_c_p3m": -0.0795637144195388, "bench_spy_p3m": -0.13093868082076354, "bench_c_p3m": -0.1984870898177633, "ret_p6m": -0.32093401074299266, "ret_signed_p6m": -0.32093401074299266, "alpha_spy_p6m": -0.15023665696015986, "alpha_c_p6m": -0.10791029250354278, "bench_spy_p6m": -0.1706973537828328, "bench_c_p6m": -0.21302371823944988, "price_path": [0.0462, 0.0108, 0.0114, -0.0417, -0.0558, -0.0676, -0.0483, -0.1583, -0.1408, -0.049, -0.0546, -0.0805, -0.0953, -0.0626, -0.0788, -0.064, -0.0538, -0.0817, -0.1269, -0.1109, -0.0635, -0.0625, -0.1103, -0.13, -0.13, -0.166, -0.2243, -0.187, -0.1778, -0.1163, -0.1225, -0.1067, -0.1479, -0.1489, -0.1832, -0.163, -0.1279, -0.1489, -0.1925, -0.222, -0.1859, -0.147, -0.1151, -0.0808, -0.0648, 0.0091, 0.0143, 0.0294, 0.026, 0.1085, 0.1163, 0.1106, 0.094, 0.1011, 0.1629, 0.1079, 0.0617, 0.0734, 0.0411, -0.0092, 0.002, 0.0379, 0.0, 0.0, 0.0196, 0.0438, -0.0079, 0.0241, 0.0204, 0.0132, -0.1102, -0.1051, -0.1091, -0.116, -0.0833, -0.0769, -0.0329, -0.1134, -0.1212, -0.2009, -0.1878, -0.2548, -0.2609, -0.2187, -0.2646, -0.2268, -0.2794, -0.2798, -0.326, -0.3148, -0.3623, -0.3312, -0.2815, -0.2288, -0.2288, -0.2302, -0.2484, -0.2132, -0.2857, -0.2743, -0.2724, -0.2634, -0.2699, -0.2927, -0.3429, -0.3272, -0.2904, -0.351, -0.3398, -0.3398, -0.2781, -0.281, -0.2841, -0.2517, -0.2541, -0.2914, -0.3041, -0.3163, -0.3078, -0.3078, -0.2902, -0.2942, -0.2552, -0.2363, -0.2863, -0.2901, -0.2781, -0.2742, -0.2688, -0.2674, -0.2522, -0.2462, -0.1725, -0.1708, -0.1824, -0.2116, -0.163, -0.1445, -0.095, -0.0946, -0.0845, -0.0638, -0.06, -0.1223, -0.1155, -0.1371, -0.1035, -0.127, -0.0862, -0.0579, -0.0663, -0.0741, -0.0776, -0.0964, -0.117, -0.0971, -0.0951, -0.0983, -0.1226, -0.1325, -0.1542, -0.1606, -0.1559, -0.177, -0.177, -0.1642, -0.1359, -0.119, -0.0873, -0.0728, -0.1103, -0.0783, -0.0749, -0.0761, -0.0587, -0.0597, -0.0839, -0.121, -0.1614, -0.1594, -0.1383, -0.1234, -0.1831, -0.1921, -0.2617, -0.2403, -0.2666, -0.2747, -0.3206, -0.3209]}
{"unit_id": "thread:1096437163837796352", "ticker_idx": 0, "ts": "2019-02-15T15:52:45+00:00", "symbol": "NVDA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "NVDA is one of the best plays on graphics, #AI, and #AutonomousVehicles. The crypto craze will mean nothing but opportunity in hindsight", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Long NVDA as a top play on graphics, AI, and autonomous vehicles; crypto inventory overhang seen as a temporary non-issue.", "resolved_tickers": ["NVDA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SMH", "bench_c_reason": "industry='Semiconductors'", "bench_c_industry": "Semiconductors", "unit_kind": "self_thread", "lang": "en", "tweet_text": "In late 2017 and early 2018, #Ethereum miners seemingly were so desperate for GPU’s that they loaded up on lower quality gaming GPUs. $NVDA had no clue how rife the inventory speculation was.  Classic!\n\n---\n\nThe good news is that NVDA is one of the best plays on graphics, #AI, and #AutonomousVehicles.  The crypto craze will mean nothing but opportunity in hindsight!", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.017859439379017683, "ret_signed_m1d": -0.017859439379017683, "alpha_spy_m1d": -0.0070795451808196574, "alpha_c_m1d": -0.01278860808525506, "bench_spy_m1d": -0.010779894198198026, "bench_c_m1d": -0.005070831293762623, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0, "ret_signed_p1d": 0.0, "alpha_spy_p1d": 0.0, "alpha_c_p1d": 0.0, "bench_spy_p1d": 0.0, "bench_c_p1d": 0.0, "ret_p1w": 0.011757964966567558, "ret_signed_p1w": 0.011757964966567558, "alpha_spy_p1w": 0.005376931024634102, "alpha_c_p1w": -0.004136736914414296, "bench_spy_p1w": 0.006381033941933456, "bench_c_p1w": 0.015894701880981854, "ret_p1m": 0.0748959177865427, "ret_signed_p1m": 0.0748959177865427, "alpha_spy_p1m": 0.05253040363402128, "alpha_c_p1m": 0.041936454813156665, "bench_spy_p1m": 0.022365514152521415, "bench_c_p1m": 0.03295946297338603, "ret_p3m": 0.01528177258097485, "ret_signed_p3m": 0.01528177258097485, "alpha_spy_p3m": -0.01696970708751455, "alpha_c_p3m": -0.048004480955260664, "bench_spy_p3m": 0.0322514796684894, "bench_c_p3m": 0.06328625353623551, "ret_p6m": -0.035342842948081654, "ret_signed_p6m": -0.035342842948081654, "alpha_spy_p6m": -0.08356763945264511, "alpha_c_p6m": -0.1095505373138822, "bench_spy_p6m": 0.04822479650456346, "bench_c_p6m": 0.07420769436580055, "price_path": [-0.0534, -0.0812, -0.0812, -0.0794, -0.0282, -0.0239, 0.0163, 0.0001, 0.0387, 0.0807, -0.0015, -0.0015, 0.006, -0.0618, -0.0348, -0.0582, -0.0536, -0.0537, -0.0692, -0.0875, -0.0661, -0.1197, -0.1414, -0.1765, -0.1923, -0.1923, -0.1541, -0.1663, -0.1506, -0.1515, -0.1515, -0.1342, -0.1865, -0.1344, -0.0886, -0.1113, -0.0938, -0.077, -0.0541, -0.0439, -0.0475, -0.054, -0.0357, -0.0026, -0.0026, -0.0545, -0.0512, 0.0032, 0.0179, -0.1229, -0.1636, -0.1268, -0.0864, -0.0801, -0.0519, -0.047, -0.0276, -0.063, -0.0583, -0.0692, -0.0392, -0.0283, -0.0179, 0.0, 0.0, -0.0044, 0.0077, -0.01, 0.0118, 0.0086, -0.0015, -0.0123, -0.0186, -0.0046, -0.0025, -0.0042, -0.0326, -0.0504, -0.0416, 0.0252, 0.034, 0.0728, 0.0533, 0.0804, 0.0749, 0.1179, 0.1096, 0.1703, 0.1293, 0.1056, 0.1253, 0.1229, 0.1277, 0.1424, 0.1597, 0.1643, 0.2, 0.1978, 0.2149, 0.2202, 0.2041, 0.2222, 0.2186, 0.2089, 0.1751, 0.1974, 0.1916, 0.1853, 0.1853, 0.1991, 0.2131, 0.2163, 0.1892, 0.133, 0.1409, 0.1516, 0.1482, 0.1655, 0.1643, 0.1442, 0.1014, 0.1065, 0.0828, 0.0741, 0.0081, 0.0309, 0.0153, 0.0192, -0.0041, -0.0345, -0.0135, -0.0317, -0.0627, -0.0765, -0.0765, -0.0881, -0.1071, -0.1139, -0.1372, -0.1479, -0.0892, -0.1001, -0.0842, -0.0732, -0.0546, -0.0398, -0.0688, -0.0557, -0.0787, -0.0762, -0.0262, -0.0247, -0.0185, -0.0334, -0.0276, -0.0352, 0.0144, 0.0397, 0.0461, 0.0584, 0.0333, 0.0366, 0.0366, 0.0206, 0.0013, 0.002, 0.0195, 0.0591, 0.0676, 0.0654, 0.0642, 0.081, 0.084, 0.0729, 0.0912, 0.1189, 0.138, 0.1043, 0.1151, 0.1135, 0.1175, 0.0747, 0.0505, 0.0267, -0.0395, -0.0296, -0.0198, 0.008, -0.018, -0.0353]}
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{"unit_id": "quote:892224593531985925", "ticker_idx": 0, "ts": "2017-08-01T03:24:54+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": false, "explicit_audit": "kept_implicit", "polarity_reversed": false, "quote": "fleet operators of #autonomous taxi networks will pay multiples of the Model 3's price to be first movers", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish TSLA: ARK research implies autonomous taxi fleet demand will command significant price premiums above current Model 3 pricing.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "Based on ARK's research, fleet operators of #autonomous taxi networks will pay multiples of the Model 3's price to be first movers. https://t.co/hCNP6ENpOx", "reply_text": null, "parent_text": null, "quoted_text": "Thoughtful Model 3 review by @tsrandall, one of the most insightful journalists https://t.co/cuIKJ9NglN", "parent_author": null, "ret_m1d": 0.012203909817032121, "ret_signed_m1d": 0.012203909817032121, "alpha_spy_m1d": 0.014427947779535488, "alpha_c_m1d": 0.013952011118398389, "bench_spy_m1d": -0.002224037962503367, "bench_c_m1d": -0.0017481013013662672, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.019776573954314758, "ret_signed_p1d": 0.019776573954314758, "alpha_spy_p1d": 0.019291421997386538, "alpha_c_p1d": 0.02250818101981722, "bench_spy_p1d": 0.00048515195692822033, "bench_c_p1d": -0.0027316070655024616, "ret_p1w": 0.14284819013013772, "ret_signed_p1w": 0.14284819013013772, "alpha_spy_p1w": 0.143090978521893, "alpha_c_p1w": 0.14536125045603498, "bench_spy_p1w": -0.00024278839175528866, "bench_c_p1w": -0.002513060325897265, "ret_p1m": 0.1051726081290223, "ret_signed_p1m": 0.1051726081290223, "alpha_spy_p1m": 0.1104696291742231, "alpha_c_p1m": 0.13008502813569045, "bench_spy_p1m": -0.0052970210452008, "bench_c_p1m": -0.024912420006668157, "ret_p3m": 0.004067940096587286, "ret_signed_p3m": 0.004067940096587286, "alpha_spy_p3m": -0.043113300127975984, "alpha_c_p3m": -0.009119470048216005, "bench_spy_p3m": 0.04718124022456327, "bench_c_p3m": 0.013187410144803291, "ret_p6m": 0.08236070161089093, "ret_signed_p6m": 0.08236070161089093, "alpha_spy_p6m": -0.07419695691491834, "alpha_c_p6m": -0.10734541072794901, "bench_spy_p6m": 0.15655765852580927, "bench_c_p6m": 0.18970611233883994, "price_path": [-0.0754, -0.0351, -0.0387, 0.0053, 0.0177, 0.011, 0.0164, -0.0115, -0.008, -0.0421, -0.0204, -0.0273, -0.0289, -0.0492, -0.0293, -0.0086, 0.0174, 0.0174, 0.0486, 0.0671, 0.0651, 0.0635, 0.0868, 0.1041, 0.1254, 0.1578, 0.1181, 0.1234, 0.1764, 0.1912, 0.1745, 0.1622, 0.1572, 0.1648, 0.1778, 0.1973, 0.1999, 0.1812, 0.1339, 0.1617, 0.1289, 0.1316, 0.1034, 0.1034, 0.0235, -0.0336, -0.0199, -0.011, 0.0239, 0.0311, 0.012, 0.0257, 0.0, 0.0271, 0.0178, 0.0324, 0.0276, 0.0718, 0.0627, 0.076, 0.0466, 0.0485, 0.0122, 0.0, 0.0198, 0.0861, 0.1168, 0.1114, 0.1428, 0.1376, 0.1121, 0.1198, 0.1384, 0.1338, 0.1356, 0.1012, 0.0873, 0.0572, 0.0682, 0.1039, 0.1044, 0.0891, 0.0816, 0.087, 0.1052, 0.1137, 0.1121, 0.1121, 0.0939, 0.0781, 0.0971, 0.0746, 0.1381, 0.1351, 0.146, 0.1817, 0.1885, 0.2047, 0.1738, 0.17, 0.1468, 0.0986, 0.0795, 0.0804, 0.067, 0.0627, 0.0674, 0.0687, 0.0894, 0.1109, 0.1119, 0.1168, 0.0731, 0.1127, 0.1096, 0.113, 0.1127, 0.0971, 0.1132, 0.1254, 0.1009, 0.0799, 0.0546, 0.0556, 0.0196, 0.0207, 0.0041, 0.0016, 0.0374, 0.0047, -0.0636, -0.0422, -0.0525, -0.0423, -0.0475, -0.0519, -0.0519, -0.013, -0.034, -0.0259, -0.0221, -0.0141, -0.0339, -0.0055, -0.0218, -0.0218, -0.0126, -0.0086, -0.0063, -0.0376, -0.0335, -0.0408, -0.045, -0.0497, -0.0197, -0.0261, -0.0139, 0.0292, 0.0672, 0.0609, 0.0573, 0.0747, 0.0604, 0.0361, 0.0294, 0.0378, 0.0176, 0.0176, -0.0071, -0.0248, -0.0132, -0.0257, -0.0257, 0.003, -0.0073, -0.0155, -0.0094, 0.0527, 0.0442, 0.0477, 0.0575, 0.0521, 0.0521, 0.0641, 0.0863, 0.0782, 0.0953, 0.1001, 0.104, 0.0824]}
{"unit_id": "thread:1532883820466294784", "ticker_idx": 0, "ts": "2022-06-04T00:35:57+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "why we believe they will resolve to the upside", "tweet_type": "analysis", "timeline": "unspecified", "summary": "ARK believes current Bitcoin signals will resolve to the upside.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "self_thread", "lang": "en", "tweet_text": "The Bitcoin Monthly highlights how its transparency can help investors analyze and understand not only the blockchain’s health and security but also bitcoin’s fundamentals. Thank you @yassineARK @dpuellARK for creating this disciplined and dispassionate scorecard.\n\n---\n\nCheck out the bullish, bearish, and neutral signals that ARK’s crypto team has surfaced, and why we believe they will resolve to the upside.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.05311589297926056, "ret_signed_m1d": -0.05311589297926056, "alpha_spy_m1d": -0.050080394191885924, "alpha_c_m1d": null, "bench_spy_m1d": -0.0030354987873746353, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.006859698773187373, "ret_signed_p1d": -0.006859698773187373, "alpha_spy_p1d": -0.01645199711622125, "alpha_c_p1d": null, "bench_spy_p1d": 0.009592298343033878, "bench_c_p1d": null, "ret_p1w": -0.28317159538442305, "ret_signed_p1w": -0.28317159538442305, "alpha_spy_p1w": -0.19382992481298822, "alpha_c_p1w": null, "bench_spy_p1w": -0.08934167057143483, "bench_c_p1w": null, "ret_p1m": -0.3564015678457636, "ret_signed_p1m": -0.3564015678457636, "alpha_spy_p1m": -0.2879684135483035, "alpha_c_p1m": null, "bench_spy_p1m": -0.06843315429746011, "bench_c_p1m": null, "ret_p3m": -0.3584090036324732, "ret_signed_p3m": -0.3584090036324732, "alpha_spy_p3m": -0.3252426609773754, "alpha_c_p3m": null, "bench_spy_p3m": -0.03316634265509777, "bench_c_p3m": null, "ret_p6m": -0.47578481941981043, "ret_signed_p6m": -0.47578481941981043, "alpha_spy_p6m": -0.44367583812925626, "alpha_c_p6m": null, "bench_spy_p6m": -0.03210898129055417, "bench_c_p6m": null, "price_path": [0.3383, 0.2571, 0.2367, 0.2645, 0.254, 0.3115, 0.3054, 0.3325, 0.3094, 0.3503, 0.3673, 0.4013, 0.4137, 0.5023, 0.5131, 0.5002, 0.4516, 0.4753, 0.4862, 0.4522, 0.3773, 0.3868, 0.348, 0.2598, 0.2791, 0.3123, 0.273, 0.2927, 0.3014, 0.323, 0.3189, 0.2919, 0.2668, 0.2897, 0.2151, 0.2509, 0.2679, 0.2308, 0.2282, 0.2034, 0.2655, 0.1659, 0.1489, -0.0342, -0.0111, -0.0776, -0.074, -0.0665, -0.0481, -0.0301, -0.0845, -0.0337, -0.0692, -0.0724, -0.0547, -0.0576, -0.0671, -0.0874, 0.0113, 0.0134, -0.0501, -0.0288, -0.0531, 0.0, -0.0069, -0.0369, -0.0401, -0.0729, -0.2832, -0.2921, -0.2804, -0.3503, -0.3474, -0.3434, -0.3398, -0.3629, -0.3278, -0.3232, -0.339, -0.3535, -0.3591, -0.3693, -0.3858, -0.3551, -0.3564, -0.345, -0.3103, -0.3073, -0.3634, -0.384, -0.3557, -0.3443, -0.3358, -0.2832, -0.2544, -0.2594, -0.2616, -0.2759, -0.3191, -0.3229, -0.269, -0.2399, -0.2412, -0.2568, -0.2675, -0.2717, -0.2786, -0.2576, -0.241, -0.2616, -0.2366, -0.2363, -0.2221, -0.2306, -0.2387, -0.2561, -0.26, -0.3345, -0.3179, -0.3138, -0.318, -0.3114, -0.3542, -0.353, -0.3689, -0.3609, -0.3584, -0.3634, -0.3684, -0.3995, -0.3851, -0.3838, -0.3184, -0.2869, -0.353, -0.3548, -0.372, -0.3697, -0.377, -0.3978, -0.4088, -0.3812, -0.3849, -0.3872, -0.3908, -0.3807, -0.3761, -0.3806, -0.3745, -0.3517, -0.3573, -0.3639, -0.3769, -0.3898, -0.3927, -0.3893, -0.3821, -0.3884, -0.3768, -0.3837, -0.3899, -0.3926, -0.3888, -0.3833, -0.3594, -0.3379, -0.3534, -0.3435, -0.3467, -0.347, -0.3574, -0.3558, -0.3259, -0.3432, -0.409, -0.4938, -0.4394, -0.457, -0.4703, -0.4618, -0.4686, -0.4681, -0.4677, -0.4968, -0.4839, -0.4705, -0.4707, -0.4733, -0.483, -0.4758]}
{"unit_id": "quote:883279049363271680", "ticker_idx": 0, "ts": "2017-07-07T10:58:30+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Forbes calls #bitcoin ($40 billion market cap) and $TSLA ($50B) bubbles. The #internet bubble peaked at $2-3 trillion. This is no bubble!", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Rejects bubble label on BTC and TSLA; $40B and $50B caps pale vs $2-3T internet bubble peak — both are not overvalued.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": ".@Forbes calls #bitcoin ($40 billion market cap) and $TSLA ($50B) bubbles. The #internet bubble peaked at $2-3 trillion. This is no bubble! https://t.co/PBfzegbgn4", "reply_text": null, "parent_text": null, "quoted_text": "Forbes - Bitcoin And Tesla Investors Should Carefully Read The Fed's Minutes via @forbes https://t.co/O6xlivjlaf", "parent_author": null, "ret_m1d": 0.035693642500977285, "ret_signed_m1d": 0.035693642500977285, "alpha_spy_m1d": 0.04213691854129764, "alpha_c_m1d": null, "bench_spy_m1d": -0.006443276040320356, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.05800697935167698, "ret_signed_p1d": -0.05800697935167698, "alpha_spy_p1d": -0.05908076225427006, "alpha_c_p1d": null, "bench_spy_p1d": 0.001073782902593079, "bench_c_p1d": null, "ret_p1w": -0.11328239388214778, "ret_signed_p1w": -0.11328239388214778, "alpha_spy_p1w": -0.1275318965903286, "alpha_c_p1w": null, "bench_spy_p1w": 0.014249502708180817, "bench_c_p1w": null, "ret_p1m": 0.34156260047685105, "ret_signed_p1m": 0.34156260047685105, "alpha_spy_p1m": 0.3177717924230308, "alpha_c_p1m": null, "bench_spy_p1m": 0.023790808053820278, "bench_c_p1m": null, "ret_p3m": 0.6792103780852119, "ret_signed_p3m": 0.6792103780852119, "alpha_spy_p3m": 0.628380868858823, "alpha_c_p3m": null, "bench_spy_p3m": 0.05082950922638885, "bench_c_p3m": null, "ret_p6m": 4.422407419775308, "ret_signed_p6m": 4.422407419775308, "alpha_spy_p6m": 4.309048897941698, "alpha_c_p6m": null, "bench_spy_p6m": 0.11335852183360973, "bench_c_p6m": null, "price_path": [-0.5216, -0.5234, -0.5358, -0.5364, -0.526, -0.5189, -0.5195, -0.512, -0.5148, -0.5036, -0.4976, -0.4914, -0.4768, -0.4773, -0.4356, -0.4232, -0.4084, -0.3895, -0.3824, -0.3158, -0.3031, -0.2904, -0.2661, -0.3154, -0.3098, -0.3114, -0.2698, -0.2501, -0.2108, -0.1371, -0.0787, -0.0298, -0.0848, -0.1256, -0.1044, -0.1363, -0.0922, -0.044, -0.012, 0.0668, 0.1368, 0.0848, 0.1139, 0.1212, 0.056, 0.0788, -0.0049, -0.0215, -0.0, 0.0282, 0.0807, 0.0677, 0.0741, 0.0898, -0.016, 0.0134, 0.0223, 0.0082, -0.015, 0.018, 0.0329, 0.0331, 0.0357, 0.0, -0.058, -0.0718, -0.0476, -0.0638, -0.1133, -0.1152, -0.0793, -0.0974, 0.1187, 0.0592, 0.0938, 0.023, 0.0043, 0.0608, 0.1153, 0.1416, 0.0792, 0.0762, 0.1136, 0.1498, 0.3416, 0.3578, 0.3271, 0.3425, 0.4494, 0.7172, 0.6604, 0.7377, 0.7198, 0.6519, 0.5888, 0.6281, 0.6483, 0.721, 0.7357, 0.7401, 0.818, 0.8126, 0.8674, 0.9423, 0.682, 0.7376, 0.8252, 0.8263, 0.679, 0.6522, 0.6401, 0.5415, 0.2526, 0.4442, 0.614, 0.5584, 0.5508, 0.4417, 0.4415, 0.5588, 0.5454, 0.6678, 0.6575, 0.6529, 0.7507, 0.7142, 0.6792, 0.7185, 0.7354, 0.8947, 0.8986, 0.9163, 1.1626, 1.2421, 1.2733, 1.2256, 1.2197, 1.2665, 1.3868, 1.3546, 1.1943, 1.2833, 1.3444, 1.2952, 1.434, 1.5682, 1.6869, 1.8104, 1.8617, 1.7883, 1.8366, 1.9618, 1.8363, 1.6276, 1.6044, 1.6346, 1.9045, 2.1253, 2.0608, 2.256, 2.2046, 2.277, 2.1917, 2.277, 2.8982, 2.9937, 2.9261, 3.0631, 3.3577, 3.6283, 3.7314, 4.6742, 6.1068, 5.5787, 5.7245, 5.9146, 5.5147, 5.5765, 6.0303, 6.589, 6.058, 5.6006, 5.2743, 4.4917, 4.5691, 5.3922, 5.2885, 4.7993, 4.819, 4.4224]}
{"unit_id": "quote:883279049363271680", "ticker_idx": 1, "ts": "2017-07-07T10:58:30+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Forbes calls #bitcoin ($40 billion market cap) and $TSLA ($50B) bubbles. The #internet bubble peaked at $2-3 trillion. This is no bubble!", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Rejects bubble label on BTC and TSLA; $40B and $50B caps pale vs $2-3T internet bubble peak — both are not overvalued.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": ".@Forbes calls #bitcoin ($40 billion market cap) and $TSLA ($50B) bubbles. The #internet bubble peaked at $2-3 trillion. This is no bubble! https://t.co/PBfzegbgn4", "reply_text": null, "parent_text": null, "quoted_text": "Forbes - Bitcoin And Tesla Investors Should Carefully Read The Fed's Minutes via @forbes https://t.co/O6xlivjlaf", "parent_author": null, "ret_m1d": -0.014015651683365271, "ret_signed_m1d": -0.014015651683365271, "alpha_spy_m1d": -0.007572375643044915, "alpha_c_m1d": -0.005159415872614259, "bench_spy_m1d": -0.006443276040320356, "bench_c_m1d": -0.008856235810751012, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0090352135473033, "ret_signed_p1d": 0.0090352135473033, "alpha_spy_p1d": 0.007961430644710221, "alpha_c_p1d": 0.006904693434115705, "bench_spy_p1d": 0.001073782902593079, "bench_c_p1d": 0.002130520113187595, "ret_p1w": 0.046484911350484825, "ret_signed_p1w": 0.046484911350484825, "alpha_spy_p1w": 0.03223540864230401, "alpha_c_p1w": 0.03538617981690373, "bench_spy_p1w": 0.014249502708180817, "bench_c_p1w": 0.011098731533581097, "ret_p1m": 0.13393144871057583, "ret_signed_p1m": 0.13393144871057583, "alpha_spy_p1m": 0.11014064065675555, "alpha_c_p1m": 0.11106110639712807, "bench_spy_p1m": 0.023790808053820278, "bench_c_p1m": 0.022870342313447756, "ret_p3m": 0.13342066264809316, "ret_signed_p3m": 0.13342066264809316, "alpha_spy_p3m": 0.08259115342170431, "alpha_c_p3m": 0.10850669553218761, "bench_spy_p3m": 0.05082950922638885, "bench_c_p3m": 0.024913967115905544, "ret_p6m": -0.005970223145550624, "ret_signed_p6m": -0.005970223145550624, "alpha_spy_p6m": -0.11932874497916035, "alpha_c_p6m": -0.12005388319095622, "bench_spy_p6m": 0.11335852183360973, "bench_c_p6m": 0.1140836600454056, "price_path": [-0.0144, -0.0523, -0.0294, -0.0294, -0.0376, -0.0414, -0.0246, -0.0342, -0.0243, -0.0166, 0.0018, -0.0097, -0.0147, 0.0027, 0.0307, 0.0181, -0.007, -0.0567, -0.0155, -0.0193, 0.0257, 0.0383, 0.0315, 0.037, 0.0085, 0.0121, -0.0227, -0.0005, -0.0076, -0.0092, -0.0299, -0.0096, 0.0115, 0.0381, 0.0381, 0.0699, 0.0887, 0.0867, 0.085, 0.1089, 0.1265, 0.1482, 0.1813, 0.1408, 0.1462, 0.2003, 0.2153, 0.1983, 0.1857, 0.1806, 0.1884, 0.2017, 0.2215, 0.2242, 0.2052, 0.1569, 0.1852, 0.1517, 0.1545, 0.1258, 0.1258, 0.0443, -0.014, 0.0, 0.009, 0.0447, 0.052, 0.0325, 0.0465, 0.0203, 0.048, 0.0384, 0.0533, 0.0485, 0.0935, 0.0842, 0.0978, 0.0678, 0.0698, 0.0327, 0.0203, 0.0405, 0.1081, 0.1395, 0.1339, 0.166, 0.1606, 0.1347, 0.1426, 0.1615, 0.1568, 0.1586, 0.1236, 0.1093, 0.0787, 0.0898, 0.1263, 0.1268, 0.1112, 0.1036, 0.109, 0.1276, 0.1363, 0.1347, 0.1347, 0.1161, 0.1, 0.1194, 0.0964, 0.1611, 0.1581, 0.1692, 0.2057, 0.2126, 0.2292, 0.1976, 0.1938, 0.17, 0.1209, 0.1014, 0.1023, 0.0886, 0.0842, 0.089, 0.0904, 0.1115, 0.1334, 0.1344, 0.1394, 0.0949, 0.1353, 0.1321, 0.1356, 0.1352, 0.1193, 0.1358, 0.1482, 0.1232, 0.1018, 0.076, 0.077, 0.0403, 0.0413, 0.0244, 0.0219, 0.0585, 0.0251, -0.0446, -0.0228, -0.0333, -0.0229, -0.0282, -0.0327, -0.0327, 0.007, -0.0144, -0.0061, -0.0023, 0.0058, -0.0143, 0.0147, -0.002, -0.002, 0.0074, 0.0115, 0.0138, -0.0181, -0.014, -0.0214, -0.0256, -0.0304, 0.0001, -0.0063, 0.0061, 0.0501, 0.0888, 0.0824, 0.0788, 0.0965, 0.0819, 0.0571, 0.0503, 0.0589, 0.0382, 0.0382, 0.013, -0.005, 0.0068, -0.006, -0.006]}
{"unit_id": "thread:1793775258207654354", "ticker_idx": 0, "ts": "2024-05-23T22:45:22+00:00", "symbol": "S&P500", "kind": "index", "geography": "US", "sub_sector": null, "direction": "long", "conviction": "high", "explicit": false, "explicit_audit": "kept_implicit", "polarity_reversed": false, "quote": "more price deflation and lower interest rates will activate coiled equities", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish broad equities: lower rates + price deflation will unlock coiled upside, analogous to post-Depression market broadening.", "resolved_tickers": ["SPY"], "resolution_method": "etf", "resolution_reason": "S&P 500 index; SPY ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "self_thread", "lang": "en", "tweet_text": "In our view, the search for cash and safety in the equity markets today is as intense as that during the Great Depression in the early 1930s. When fear dissipated, the market broadened out and rewarded risk-taking once again.\n\n---\n\nIn the fourth quarter, as the Fed’s dot plot began pointing to much lower interest rates, the bull market in equities broadened dramatically. This far this year, the opposite has happened. In our view, more price deflation and lower interest rates will activate coiled equities.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.0073580176002829845, "ret_signed_m1d": 0.0073580176002829845, "alpha_spy_m1d": 0.0, "alpha_c_m1d": 0.0, "bench_spy_m1d": 0.0073580176002829845, "bench_c_m1d": 0.0073580176002829845, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0066162723688489855, "ret_signed_p1d": 0.0066162723688489855, "alpha_spy_p1d": 0.0, "alpha_c_p1d": 0.0, "bench_spy_p1d": 0.0066162723688489855, "bench_c_p1d": 0.0066162723688489855, "ret_p1w": -0.006369380566655369, "ret_signed_p1w": -0.006369380566655369, "alpha_spy_p1w": 0.0, "alpha_c_p1w": 0.0, "bench_spy_p1w": -0.006369380566655369, "bench_c_p1w": -0.006369380566655369, "ret_p1m": 0.03860867138213764, "ret_signed_p1m": 0.03860867138213764, "alpha_spy_p1m": 0.0, "alpha_c_p1m": 0.0, "bench_spy_p1m": 0.03860867138213764, "bench_c_p1m": 0.03860867138213764, "ret_p3m": 0.06567488355550832, "ret_signed_p3m": 0.06567488355550832, "alpha_spy_p3m": 0.0, "alpha_c_p3m": 0.0, "bench_spy_p3m": 0.06567488355550832, "bench_c_p3m": 0.06567488355550832, "ret_p6m": 0.12069763991882643, "ret_signed_p6m": 0.12069763991882643, "alpha_spy_p6m": 0.0, "alpha_c_p6m": 0.0, "bench_spy_p6m": 0.12069763991882643, "bench_c_p6m": 0.12069763991882643, "price_path": [-0.0409, -0.0392, -0.0404, -0.037, -0.0279, -0.029, -0.0387, -0.0338, -0.0242, -0.0301, -0.0309, -0.0205, -0.022, -0.024, -0.0307, -0.0249, -0.0195, -0.0104, -0.0071, -0.009, -0.0118, -0.0136, -0.0053, -0.0055, -0.0055, -0.0072, -0.0135, -0.0125, -0.0245, -0.0143, -0.0138, -0.0126, -0.0225, -0.0151, -0.0287, -0.0409, -0.0426, -0.0483, -0.0503, -0.0586, -0.0499, -0.0386, -0.0391, -0.0427, -0.0337, -0.0302, -0.0456, -0.0487, -0.0398, -0.0279, -0.0179, -0.0168, -0.0167, -0.011, -0.0097, -0.0096, -0.0051, 0.0073, 0.0052, 0.0066, 0.0078, 0.0103, 0.0074, 0.0, 0.0066, 0.0066, 0.0073, 0.0003, -0.0064, 0.0027, 0.0035, 0.0046, 0.0166, 0.0165, 0.0153, 0.0184, 0.0209, 0.0293, 0.0314, 0.032, 0.0402, 0.0428, 0.0428, 0.04, 0.0386, 0.0352, 0.0392, 0.0405, 0.0422, 0.0381, 0.0402, 0.0472, 0.0519, 0.0519, 0.0579, 0.0592, 0.0602, 0.0707, 0.0614, 0.0681, 0.0711, 0.0774, 0.0623, 0.0542, 0.0472, 0.0579, 0.0563, 0.0324, 0.027, 0.0385, 0.0391, 0.0338, 0.0506, 0.0357, 0.0165, -0.0131, -0.004, -0.0107, 0.0122, 0.0166, 0.0172, 0.0339, 0.0372, 0.0549, 0.0573, 0.0674, 0.0657, 0.0693, 0.0609, 0.0722, 0.0697, 0.0711, 0.0649, 0.065, 0.0752, 0.0752, 0.053, 0.0509, 0.0483, 0.0307, 0.0422, 0.0468, 0.0575, 0.0664, 0.072, 0.0736, 0.074, 0.0708, 0.0891, 0.0872, 0.0899, 0.0931, 0.0906, 0.095, 0.0934, 0.0978, 0.0879, 0.0884, 0.0864, 0.0963, 0.0864, 0.0966, 0.1042, 0.1023, 0.1089, 0.118, 0.1093, 0.1141, 0.1142, 0.1185, 0.1166, 0.116, 0.1059, 0.1082, 0.1079, 0.1113, 0.1131, 0.1097, 0.088, 0.0926, 0.0902, 0.1034, 0.1308, 0.1396, 0.1445, 0.1456, 0.142, 0.1426, 0.1352, 0.1207]}
{"unit_id": "quote:917156432897892357", "ticker_idx": 0, "ts": "2017-10-08T22:35:08+00:00", "symbol": "ORCL", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$ORCL's philosophy and strategy, leading to monopoly-like profits from clients locked into its high maintenance and high cost legacy databases, seems anathema to the #blockchain technology world.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bearish ORCL: its lock-in/high-cost legacy model is incompatible with blockchain, undermining its enterprise strategy.", "resolved_tickers": ["ORCL"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": "Software - Infrastructure", "unit_kind": "quote", "lang": "en", "tweet_text": "$ORCL’s philosophy and strategy, leading to monopoly-like profits from clients locked into its high maintenance and high cost legacy databases, seems anathema to the #blockchain technology world. https://t.co/Cmk7vgBNSG", "reply_text": null, "parent_text": null, "quoted_text": "Oracle's Entrance: Database Giant Unveils Enterprise Blockchain Strategy https://t.co/gT6QPwTD8d https://t.co/IFzdxBqM9a", "parent_author": null, "ret_m1d": 0.0008270745044380856, "ret_signed_m1d": -0.0008270745044380856, "alpha_spy_m1d": 0.0008268999127185594, "alpha_c_m1d": 0.0008268999127185594, "bench_spy_m1d": 0.001653974417156645, "bench_c_m1d": 0.001653974417156645, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0008304880844498541, "ret_signed_p1d": -0.0008304880844498541, "alpha_spy_p1d": 0.0018078429802292906, "alpha_c_p1d": 0.0018078429802292906, "bench_spy_p1d": 0.0026383310646791447, "bench_c_p1d": 0.0026383310646791447, "ret_p1w": 0.014324459702149017, "ret_signed_p1w": -0.014324459702149017, "alpha_spy_p1w": -0.009047728957382262, "alpha_c_p1w": -0.009047728957382262, "bench_spy_p1w": 0.0052767307447667555, "bench_c_p1w": 0.0052767307447667555, "ret_p1m": 0.048162919034912655, "ret_signed_p1m": -0.048162919034912655, "alpha_spy_p1m": -0.029576308618242786, "alpha_c_p1m": -0.029576308618242786, "bench_spy_p1m": 0.01858661041666987, "bench_c_p1m": 0.01858661041666987, "ret_p3m": 0.0002075995633492589, "ret_signed_p3m": -0.0002075995633492589, "alpha_spy_p3m": 0.0748009807934591, "alpha_c_p3m": 0.0748009807934591, "bench_spy_p3m": 0.07500858035680835, "bench_c_p3m": 0.07500858035680835, "ret_p6m": -0.06446294325336455, "ret_signed_p6m": 0.06446294325336455, "alpha_spy_p6m": 0.10070100468693521, "alpha_c_p6m": 0.10070100468693521, "bench_spy_p6m": 0.03623806143357067, "bench_c_p6m": 0.03623806143357067, "price_path": [0.0393, 0.0372, 0.0416, 0.043, 0.0432, 0.0546, 0.0573, 0.0505, 0.0496, 0.0581, 0.0581, 0.0432, 0.0401, 0.0325, 0.0372, 0.0292, 0.0387, 0.0331, 0.0265, 0.0153, 0.0145, -0.0054, -0.0025, 0.0101, 0.0097, 0.0184, 0.0039, 0.0054, 0.0112, 0.0186, 0.0147, 0.0172, 0.0182, 0.0182, 0.0225, 0.0298, 0.0407, 0.0467, 0.0467, 0.0531, 0.0548, 0.0697, 0.0666, 0.0854, 0.0912, 0.0918, 0.0916, 0.0079, -0.0006, -0.0066, -0.0081, -0.0081, -0.0041, -0.0081, -0.0091, -0.0041, -0.0058, -0.0002, 0.0091, 0.0068, 0.0112, 0.0114, 0.0008, 0.0, 0.0008, 0.0023, 0.0012, 0.0091, 0.0143, 0.0212, 0.0293, 0.0245, 0.0224, 0.0237, 0.0376, 0.0318, 0.0411, 0.0563, 0.0521, 0.0567, 0.0513, 0.0438, 0.0417, 0.0463, 0.0482, 0.0492, 0.0222, 0.0239, 0.0255, 0.0214, 0.0135, 0.0214, 0.016, 0.0176, 0.0095, 0.0085, 0.0085, 0.0174, 0.0147, 0.0174, 0.0073, 0.0185, 0.0299, 0.0048, -0.0037, 0.0052, 0.0073, 0.0297, 0.0477, 0.0461, 0.039, 0.0419, 0.0027, -0.0095, -0.0073, -0.0056, -0.0185, -0.0168, -0.0168, -0.0154, -0.0164, -0.0135, -0.0185, -0.0185, -0.032, -0.0095, 0.0002, 0.0062, 0.0168, 0.0224, 0.017, 0.0202, 0.0318, 0.0318, 0.0335, 0.0477, 0.0468, 0.0541, 0.0568, 0.0654, 0.0723, 0.0754, 0.0993, 0.0825, 0.062, 0.0752, 0.076, 0.0447, 0.0022, 0.0295, 0.0185, -0.0238, -0.0053, 0.0035, 0.0106, 0.0306, 0.0554, 0.0568, 0.0568, 0.0397, 0.0302, 0.0335, 0.0525, 0.0664, 0.0572, 0.056, 0.036, 0.0487, 0.0689, 0.0733, 0.0779, 0.0864, 0.1039, 0.1025, 0.0958, 0.0904, 0.0914, 0.0893, 0.0827, -0.0194, -0.0201, -0.0436, -0.0665, -0.0313, -0.0543, -0.0626, -0.0465, -0.0465, -0.062, -0.0645]}
{"unit_id": "quote:961280944295567360", "ticker_idx": 0, "ts": "2018-02-07T16:50:11+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": false, "explicit_audit": "kept_implicit", "polarity_reversed": false, "quote": "I am not concerned, no matter what the print is tonight", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Long TSLA; not concerned about tonight's print, confident Musk can scale Model 3 production.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "If @elonmusk can mastermind this #SpaceX landing, he can figure out how to scale Model 3 production.  I am not concerned, no matter what the print is tonight. https://t.co/ch42g3BQkv", "reply_text": null, "parent_text": null, "quoted_text": "Falcon Heavy side cores have landed at SpaceX’s Landing Zones 1 and 2. https://t.co/oMBqizqnpI", "parent_author": null, "ret_m1d": -0.031970977783203125, "ret_signed_m1d": -0.031970977783203125, "alpha_spy_m1d": -0.037425226132495215, "alpha_c_m1d": -0.03503831430302595, "bench_spy_m1d": 0.00545424834929209, "bench_c_m1d": 0.0030673365198228275, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.0862898619278617, "ret_signed_p1d": -0.0862898619278617, "alpha_spy_p1d": -0.04878078883919801, "alpha_c_p1d": -0.046412428714457166, "bench_spy_p1d": -0.03750907308866369, "bench_c_p1d": -0.039877433213404534, "ret_p1w": -0.0657681174900221, "ret_signed_p1w": -0.0657681174900221, "alpha_spy_p1w": -0.07294083652022765, "alpha_c_p1w": -0.06624742098461478, "bench_spy_p1w": 0.007172719030205554, "bench_c_p1w": 0.0004793034945926866, "ret_p1m": -0.04608693330184277, "ret_signed_p1m": -0.04608693330184277, "alpha_spy_p1m": -0.07010873501015791, "alpha_c_p1m": -0.04896275426939933, "bench_spy_p1m": 0.024021801708315138, "bench_c_p1m": 0.002875820967556564, "ret_p3m": -0.12240575707477075, "ret_signed_p3m": -0.12240575707477075, "alpha_spy_p3m": -0.12359741056507056, "alpha_c_p3m": -0.12583055234551632, "bench_spy_p3m": 0.0011916534902998155, "bench_c_p3m": 0.003424795270745573, "ret_p6m": 0.013159461643384773, "ret_signed_p6m": 0.013159461643384773, "alpha_spy_p6m": -0.05081501848733638, "alpha_c_p6m": -0.06143683560648672, "bench_spy_p6m": 0.06397448013072116, "bench_c_p6m": 0.07459629724987149, "price_path": [-0.1218, -0.0858, -0.1052, -0.0977, -0.0942, -0.0868, -0.1051, -0.0788, -0.0939, -0.0939, -0.0854, -0.0817, -0.0796, -0.1086, -0.1048, -0.1115, -0.1154, -0.1197, -0.092, -0.0979, -0.0866, -0.0466, -0.0115, -0.0173, -0.0206, -0.0045, -0.0178, -0.0403, -0.0464, -0.0387, -0.0574, -0.0574, -0.0803, -0.0967, -0.0859, -0.0975, -0.0975, -0.0709, -0.0804, -0.0881, -0.0824, -0.0249, -0.0328, -0.0296, -0.0204, -0.0254, -0.0254, -0.0143, 0.0063, -0.0012, 0.0146, 0.019, 0.0226, 0.0026, -0.0213, -0.0062, 0.0131, 0.0024, 0.027, 0.0123, -0.0036, -0.0344, -0.032, 0.0, -0.0863, -0.1002, -0.0848, -0.0619, -0.0658, -0.0317, -0.0276, -0.0276, -0.0297, -0.0339, 0.0034, 0.0204, 0.036, 0.0174, -0.0056, -0.0408, -0.0286, -0.0338, -0.0487, -0.0368, -0.0461, -0.0517, 0.0015, -0.0092, -0.0532, -0.0562, -0.0686, -0.0911, -0.0999, -0.0825, -0.1041, -0.126, -0.1183, -0.1908, -0.2528, -0.2286, -0.2286, -0.2682, -0.2246, -0.1683, -0.1139, -0.1325, -0.1604, -0.1168, -0.1277, -0.1476, -0.1294, -0.1559, -0.1661, -0.1497, -0.1302, -0.1587, -0.1786, -0.1784, -0.1864, -0.1725, -0.1476, -0.1481, -0.1307, -0.1271, -0.1755, -0.1476, -0.1224, -0.1247, -0.1106, -0.1159, -0.1274, -0.1537, -0.1763, -0.1696, -0.1752, -0.1976, -0.1754, -0.2029, -0.1911, -0.1946, -0.1917, -0.1917, -0.1775, -0.1544, -0.1747, -0.1541, -0.1399, -0.1561, -0.0739, -0.0838, -0.0792, -0.0374, -0.0065, -0.0006, 0.0369, 0.0382, 0.0749, 0.0219, 0.0499, 0.0073, -0.033, -0.0348, -0.0087, -0.0014, 0.0143, -0.0059, -0.0288, -0.099, -0.099, -0.1039, -0.1046, -0.0768, -0.0653, -0.0755, -0.082, -0.0757, -0.1012, -0.0647, -0.0613, -0.0718, -0.0911, -0.1212, -0.1379, -0.1051, -0.1112, -0.1386, -0.1589, -0.1358, -0.128, 0.0132]}
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{"unit_id": "quote:1731526448232476921", "ticker_idx": 0, "ts": "2023-12-04T04:10:50+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Significant proof of concept for Bitcoin!", "tweet_type": "news_reaction", "timeline": "unspecified", "summary": "Bullish on BTC; endorses US Space Force Major's Bitcoin-as-defense-strategy pitch as significant proof of concept.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Significant proof of concept for Bitcoin!", "reply_text": null, "parent_text": null, "quoted_text": "US Space Force Major urges Defense Department to adopt Bitcoin as an 'offset strategy' Lowery suggested that Bitcoin and its underlying PoW technology could serve as contemporary tools in an offset strategy, potentially redefining the landscape of cyber warfare and defense.7", "parent_author": null, "ret_m1d": -0.07840257264765993, "ret_signed_m1d": -0.07840257264765993, "alpha_spy_m1d": -0.0836798488815097, "alpha_c_m1d": null, "bench_spy_m1d": 0.00527727623384977, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.05003682455553493, "ret_signed_p1d": 0.05003682455553493, "alpha_spy_p1d": 0.05023378826719438, "alpha_c_p1d": null, "bench_spy_p1d": -0.00019696371165944804, "bench_c_p1d": null, "ret_p1w": -0.017538444789453322, "ret_signed_p1w": -0.017538444789453322, "alpha_spy_p1w": -0.029143792109485256, "alpha_c_p1w": null, "bench_spy_p1w": 0.011605347320031933, "bench_c_p1w": null, "ret_p1m": 0.07093530649056645, "ret_signed_p1m": 0.07093530649056645, "alpha_spy_p1m": 0.03179206071887486, "alpha_c_p1m": null, "bench_spy_p1m": 0.03914324577169159, "bench_c_p1m": null, "ret_p3m": 0.4577951512551752, "ret_signed_p3m": 0.4577951512551752, "alpha_spy_p3m": 0.34075727314103554, "alpha_c_p3m": null, "bench_spy_p3m": 0.11703787811413968, "bench_c_p3m": null, "ret_p6m": 0.6268713643602506, "ret_signed_p6m": 0.6268713643602506, "alpha_spy_p6m": 0.45843988353370624, "alpha_c_p6m": null, "bench_spy_p6m": 0.16843148082654436, "bench_c_p6m": null, "price_path": [-0.3865, -0.3749, -0.3829, -0.4006, -0.3846, -0.3752, -0.3678, -0.3662, -0.3627, -0.3518, -0.3537, -0.3671, -0.3669, -0.3735, -0.3755, -0.3723, -0.3563, -0.3589, -0.3442, -0.3466, -0.3378, -0.3469, -0.3343, -0.3429, -0.3475, -0.3599, -0.3626, -0.3601, -0.3206, -0.3231, -0.3252, -0.3159, -0.2929, -0.2119, -0.1924, -0.1781, -0.1864, -0.1922, -0.1781, -0.1742, -0.1559, -0.1677, -0.1726, -0.1654, -0.1557, -0.1507, -0.1259, -0.1112, -0.1305, -0.1535, -0.0977, -0.1388, -0.1282, -0.1073, -0.1469, -0.1083, -0.1117, -0.1015, -0.1126, -0.0988, -0.0982, -0.1017, -0.0784, 0.0, 0.05, 0.0421, 0.0313, 0.0521, -0.0175, -0.0126, 0.0217, 0.0249, -0.0012, 0.0153, 0.0069, 0.0398, 0.045, 0.0481, 0.0389, 0.0129, 0.0348, 0.0154, 0.0028, 0.0521, 0.0709, 0.0207, 0.0524, 0.052, 0.1189, 0.0991, 0.1107, 0.1045, 0.0208, 0.0127, 0.028, 0.0182, -0.0171, -0.0086, -0.0589, -0.0508, -0.0453, -0.0487, -0.0039, 0.0312, 0.0232, 0.0144, 0.0261, 0.0287, 0.0162, 0.0263, 0.0557, 0.0791, 0.1231, 0.19, 0.1849, 0.2346, 0.2372, 0.2425, 0.2334, 0.2455, 0.2349, 0.2221, 0.2085, 0.2988, 0.3598, 0.4889, 0.4578, 0.4874, 0.6277, 0.5198, 0.5747, 0.5942, 0.627, 0.718, 0.7027, 0.7409, 0.7007, 0.6533, 0.6091, 0.4748, 0.6178, 0.5601, 0.5193, 0.6665, 0.6672, 0.6545, 0.6852, 0.6649, 0.6604, 0.559, 0.5717, 0.6319, 0.6159, 0.7063, 0.6469, 0.6815, 0.6689, 0.6007, 0.5109, 0.5201, 0.4597, 0.5129, 0.5208, 0.5921, 0.5819, 0.5311, 0.536, 0.5187, 0.5207, 0.4444, 0.3877, 0.4084, 0.4981, 0.5046, 0.4849, 0.4575, 0.5019, 0.4481, 0.4984, 0.4662, 0.5785, 0.5539, 0.5972, 0.702, 0.6707, 0.6466, 0.6181, 0.6323, 0.653, 0.6269]}
{"unit_id": "thread:1719825256800505903", "ticker_idx": 0, "ts": "2023-11-01T21:14:28+00:00", "symbol": "long duration bonds", "kind": "macro", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Long duration stocks and bonds should be the biggest beneficiaries in that environment", "tweet_type": "analysis", "timeline": "years", "summary": "If deflation is the bigger risk (as author believes), long-duration stocks and bonds are the biggest beneficiaries; fade higher-for-longer inflation bets.", "resolved_tickers": ["TLT"], "resolution_method": "etf", "resolution_reason": "Long duration bonds; TLT is 20+ year Treasury ETF", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "self_thread", "lang": "en", "tweet_text": "According to Bloomberg’s diversified commodity price index, commodity prices today are where they were 40 years ago and are resuming the deflationary trend in place since 2008. This chart is nominal, not inflation-adjusted! https://t.co/Pjv5fuE1OJ\n\n---\n\nFocused on years of near zero percent interest rates, many investors are betting higher for longer on inflation and interest rates. They are betting against long duration fixed income and equity strategies. This chart is beginning to fly in the face of that outlook: Kondratieff?\n\n---\n\nIf deflation is the bigger risk today, as we believe, then pricing power will disappear and big wage hikes will not feed inflation, but will slam margins.\n\n---\n\nLong duration stocks and bonds should be the biggest beneficiaries in that environment.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.02122178221706239, "ret_signed_m1d": -0.02122178221706239, "alpha_spy_m1d": -0.010669549682825963, "alpha_c_m1d": -0.010669549682825963, "bench_spy_m1d": -0.010552232534236428, "bench_c_m1d": -0.010552232534236428, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.022796679611242432, "ret_signed_p1d": 0.022796679611242432, "alpha_spy_p1d": 0.0036323438435044153, "alpha_c_p1d": 0.0036323438435044153, "bench_spy_p1d": 0.019164335767738017, "bench_c_p1d": 0.019164335767738017, "ret_p1w": 0.052409052314255744, "ret_signed_p1w": 0.052409052314255744, "alpha_spy_p1w": 0.017889574555795207, "alpha_c_p1w": 0.017889574555795207, "bench_spy_p1w": 0.03451947775846054, "bench_c_p1w": 0.03451947775846054, "ret_p1m": 0.07591063194152015, "ret_signed_p1m": 0.07591063194152015, "alpha_spy_p1m": -0.003917066400665581, "alpha_c_p1m": -0.003917066400665581, "bench_spy_p1m": 0.07982769834218573, "bench_c_p1m": 0.07982769834218573, "ret_p3m": 0.12182104182808384, "ret_signed_p3m": 0.12182104182808384, "alpha_spy_p3m": -0.04522070160510561, "alpha_c_p3m": -0.04522070160510561, "bench_spy_p3m": 0.16704174343318945, "bench_c_p3m": 0.16704174343318945, "ret_p6m": 0.048160931889969394, "ret_signed_p6m": 0.048160931889969394, "alpha_spy_p6m": -0.151626201398962, "alpha_c_p6m": -0.151626201398962, "bench_spy_p6m": 0.19978713328893138, "bench_c_p6m": 0.19978713328893138, "price_path": [0.1235, 0.1124, 0.1254, 0.1312, 0.1126, 0.11, 0.1075, 0.1008, 0.0922, 0.0875, 0.0914, 0.0768, 0.0851, 0.112, 0.1046, 0.1082, 0.1094, 0.1209, 0.1198, 0.1248, 0.1073, 0.1073, 0.0917, 0.0944, 0.0974, 0.1016, 0.0937, 0.1, 0.0998, 0.0918, 0.0852, 0.0914, 0.0833, 0.0867, 0.0588, 0.0673, 0.0411, 0.0374, 0.0321, 0.0352, 0.0353, 0.018, -0.0039, 0.0102, 0.0051, -0.0071, 0.0163, 0.0148, 0.036, 0.0079, 0.026, 0.0095, -0.0017, -0.0104, -0.0307, -0.0252, -0.0135, -0.0005, -0.0227, -0.0078, -0.012, -0.0164, -0.0212, 0.0, 0.0228, 0.0297, 0.0197, 0.0348, 0.0524, 0.0282, 0.034, 0.0316, 0.055, 0.0402, 0.0531, 0.058, 0.0645, 0.064, 0.0678, 0.0678, 0.0552, 0.0729, 0.075, 0.0885, 0.0759, 0.0962, 0.0918, 0.1153, 0.1301, 0.1236, 0.1144, 0.1121, 0.1154, 0.1416, 0.1713, 0.1726, 0.1632, 0.1695, 0.1774, 0.17, 0.1646, 0.1646, 0.1679, 0.1886, 0.18, 0.1694, 0.1694, 0.1626, 0.1675, 0.1497, 0.1387, 0.15, 0.1426, 0.1373, 0.1437, 0.1415, 0.1415, 0.1213, 0.1196, 0.1092, 0.1127, 0.1193, 0.1105, 0.104, 0.1112, 0.109, 0.1218, 0.132, 0.1431, 0.1655, 0.1398, 0.1168, 0.1277, 0.1222, 0.1157, 0.1134, 0.1148, 0.0957, 0.1012, 0.1069, 0.1005, 0.1005, 0.1015, 0.0936, 0.099, 0.1137, 0.1104, 0.1025, 0.1095, 0.1174, 0.1243, 0.1198, 0.1358, 0.1424, 0.1413, 0.1393, 0.1387, 0.1292, 0.1237, 0.1065, 0.1061, 0.1028, 0.1059, 0.1055, 0.1079, 0.1185, 0.1129, 0.116, 0.1271, 0.1261, 0.1261, 0.1051, 0.099, 0.0988, 0.1067, 0.0913, 0.0911, 0.1013, 0.0773, 0.0724, 0.0781, 0.0614, 0.0544, 0.0661, 0.0607, 0.0645, 0.0627, 0.0631, 0.0556, 0.0482]}
{"unit_id": "thread:1719825256800505903", "ticker_idx": 1, "ts": "2023-11-01T21:14:28+00:00", "symbol": "long duration equities", "kind": "sector", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": false, "explicit_audit": "kept_implicit_alias_present", "polarity_reversed": false, "quote": "Long duration stocks and bonds should be the biggest beneficiaries in that environment", "tweet_type": "analysis", "timeline": "years", "summary": "If deflation is the bigger risk (as author believes), long-duration stocks and bonds are the biggest beneficiaries; fade higher-for-longer inflation bets.", "resolved_tickers": ["ARKK"], "resolution_method": "etf", "resolution_reason": "Long duration equities; ARKK is best available proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "self_thread", "lang": "en", "tweet_text": "According to Bloomberg’s diversified commodity price index, commodity prices today are where they were 40 years ago and are resuming the deflationary trend in place since 2008. This chart is nominal, not inflation-adjusted! https://t.co/Pjv5fuE1OJ\n\n---\n\nFocused on years of near zero percent interest rates, many investors are betting higher for longer on inflation and interest rates. They are betting against long duration fixed income and equity strategies. This chart is beginning to fly in the face of that outlook: Kondratieff?\n\n---\n\nIf deflation is the bigger risk today, as we believe, then pricing power will disappear and big wage hikes will not feed inflation, but will slam margins.\n\n---\n\nLong duration stocks and bonds should be the biggest beneficiaries in that environment.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.006513722268226885, "ret_signed_m1d": -0.006513722268226885, "alpha_spy_m1d": 0.004038510266009543, "alpha_c_m1d": 0.004038510266009543, "bench_spy_m1d": -0.010552232534236428, "bench_c_m1d": -0.010552232534236428, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.08411207279794697, "ret_signed_p1d": 0.08411207279794697, "alpha_spy_p1d": 0.06494773703020895, "alpha_c_p1d": 0.06494773703020895, "bench_spy_p1d": 0.019164335767738017, "bench_c_p1d": 0.019164335767738017, "ret_p1w": 0.1424525229019571, "ret_signed_p1w": 0.1424525229019571, "alpha_spy_p1w": 0.10793304514349655, "alpha_c_p1w": 0.10793304514349655, "bench_spy_p1w": 0.03451947775846054, "bench_c_p1w": 0.03451947775846054, "ret_p1m": 0.30586232843451033, "ret_signed_p1m": 0.30586232843451033, "alpha_spy_p1m": 0.2260346300923246, "alpha_c_p1m": 0.2260346300923246, "bench_spy_p1m": 0.07982769834218573, "bench_c_p1m": 0.07982769834218573, "ret_p3m": 0.36250350436810375, "ret_signed_p3m": 0.36250350436810375, "alpha_spy_p3m": 0.1954617609349143, "alpha_c_p3m": 0.1954617609349143, "bench_spy_p3m": 0.16704174343318945, "bench_c_p3m": 0.16704174343318945, "ret_p6m": 0.23506085851751868, "ret_signed_p6m": 0.23506085851751868, "alpha_spy_p6m": 0.035273725228587294, "alpha_c_p6m": 0.035273725228587294, "bench_spy_p6m": 0.19978713328893138, "bench_c_p6m": 0.19978713328893138, "price_path": [0.2746, 0.2681, 0.2614, 0.2159, 0.2072, 0.2007, 0.2055, 0.1844, 0.1583, 0.1302, 0.1341, 0.1543, 0.1518, 0.1785, 0.1367, 0.1507, 0.1538, 0.2164, 0.2248, 0.2288, 0.2251, 0.2251, 0.2361, 0.2406, 0.2361, 0.237, 0.2631, 0.2464, 0.23, 0.2351, 0.2195, 0.1897, 0.1756, 0.1549, 0.1198, 0.0994, 0.0988, 0.0884, 0.0954, 0.1079, 0.1235, 0.1056, 0.0753, 0.0912, 0.0915, 0.1105, 0.1147, 0.1382, 0.13, 0.0898, 0.0697, 0.0912, 0.1096, 0.06, 0.0368, 0.0204, 0.0227, 0.0527, -0.0025, -0.0156, -0.0343, -0.0289, -0.0065, 0.0, 0.0841, 0.1453, 0.1263, 0.1586, 0.1425, 0.1071, 0.1252, 0.1303, 0.188, 0.2181, 0.1954, 0.2376, 0.271, 0.2424, 0.2552, 0.2552, 0.271, 0.2872, 0.3226, 0.3282, 0.3059, 0.3716, 0.3789, 0.3668, 0.3605, 0.3676, 0.3928, 0.3744, 0.3702, 0.4208, 0.4732, 0.4475, 0.4463, 0.5061, 0.4446, 0.4814, 0.5013, 0.5013, 0.5234, 0.5367, 0.5333, 0.4831, 0.4831, 0.4302, 0.3741, 0.3852, 0.3849, 0.424, 0.4019, 0.3976, 0.3645, 0.3418, 0.3418, 0.3243, 0.3005, 0.2931, 0.3107, 0.3404, 0.3418, 0.3107, 0.2976, 0.3005, 0.3625, 0.3271, 0.286, 0.3036, 0.3214, 0.2801, 0.3226, 0.3359, 0.3718, 0.4044, 0.4364, 0.356, 0.4302, 0.4625, 0.4254, 0.4254, 0.3789, 0.3398, 0.373, 0.371, 0.4183, 0.4596, 0.4489, 0.4514, 0.4483, 0.4353, 0.3849, 0.407, 0.4231, 0.4373, 0.4344, 0.4231, 0.4262, 0.3803, 0.3781, 0.3818, 0.3738, 0.422, 0.431, 0.3993, 0.4231, 0.4169, 0.4191, 0.4183, 0.4183, 0.3945, 0.3532, 0.3571, 0.3387, 0.3345, 0.3622, 0.3769, 0.3449, 0.3651, 0.3172, 0.2569, 0.2362, 0.2184, 0.2152, 0.1895, 0.2065, 0.2424, 0.2433, 0.2351]}
{"unit_id": "quote:823232292424445952", "ticker_idx": 0, "ts": "2017-01-22T18:14:08+00:00", "symbol": "GBTC", "kind": "etf", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$GBTC", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Names GBTC as the best blockchain investment in response to the poll question.", "resolved_tickers": ["GBTC"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "qme", "tweet_text": "$GBTC https://t.co/BoOfn45GsI", "reply_text": null, "parent_text": null, "quoted_text": "What's the best #blockchain #investment? $IBM is in the mix, $JPM, who else? Let me know so I can put a poll together! #fintech #stocks $spy https://t.co/FAIxpbvPCi", "parent_author": null, "ret_m1d": -0.008547177857847754, "ret_signed_m1d": -0.008547177857847754, "alpha_spy_m1d": -0.011156246924405644, "alpha_c_m1d": -0.011156246924405644, "bench_spy_m1d": 0.0026090690665578897, "bench_c_m1d": 0.0026090690665578897, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.04376033127832524, "ret_signed_p1d": -0.04376033127832524, "alpha_spy_p1d": -0.05017187663948319, "alpha_c_p1d": -0.05017187663948319, "bench_spy_p1d": 0.006411545361157955, "bench_c_p1d": 0.006411545361157955, "ret_p1w": -0.07914489218520426, "ret_signed_p1w": -0.07914489218520426, "alpha_spy_p1w": -0.08533535516484614, "alpha_c_p1w": -0.08533535516484614, "bench_spy_p1w": 0.006190462979641875, "bench_c_p1w": 0.006190462979641875, "ret_p1m": -0.05128204075495246, "ret_signed_p1m": -0.05128204075495246, "alpha_spy_p1m": -0.09700389348626548, "alpha_c_p1m": -0.09700389348626548, "bench_spy_p1m": 0.04572185273131302, "bench_c_p1m": 0.04572185273131302, "ret_p3m": 0.09743591849009503, "ret_signed_p3m": 0.09743591849009503, "alpha_spy_p3m": 0.05227212489148103, "alpha_c_p3m": 0.05227212489148103, "bench_spy_p3m": 0.045163793598614, "bench_c_p3m": 0.045163793598614, "ret_p6m": 2.2307695939541397, "ret_signed_p6m": 2.2307695939541397, "alpha_spy_p6m": 2.1344534016038716, "alpha_c_p6m": 2.1344534016038716, "bench_spy_p6m": 0.09631619235026823, "bench_c_p6m": 0.09631619235026823, "price_path": [-0.147, -0.1538, -0.1068, -0.0778, -0.0684, -0.094, -0.1368, -0.1709, -0.1752, -0.1368, -0.1132, -0.1538, -0.1368, -0.1453, -0.1026, -0.0897, -0.085, -0.0726, -0.0855, -0.0769, -0.1197, -0.1197, -0.1368, -0.1368, -0.1709, -0.1581, -0.1431, -0.1171, -0.1538, -0.153, -0.1303, -0.1111, -0.1197, -0.1026, -0.1222, -0.1238, -0.1351, -0.1316, -0.1368, -0.1368, -0.1132, -0.1024, -0.0538, -0.0538, -0.0192, 0.0256, 0.0385, 0.0397, 0.0397, 0.1624, 0.2479, 0.1026, -0.0021, -0.0209, -0.0171, -0.0556, -0.0769, -0.0685, -0.0685, 0.0, -0.0085, 0.0, -0.0085, 0.0, -0.0438, -0.0897, -0.0791, -0.0598, -0.0791, -0.0727, -0.0774, -0.0641, -0.0598, -0.0598, -0.0597, -0.0684, -0.1111, -0.0983, -0.0979, -0.0769, -0.0769, -0.0769, -0.0769, -0.0769, -0.0513, -0.0299, 0.0, 0.0168, 0.0, -0.0171, 0.0004, 0.0718, 0.1026, 0.188, 0.1282, 0.0526, 0.0897, 0.1538, 0.1432, 0.1197, 0.1286, 0.047, 0.0085, -0.094, 0.0513, -0.0509, -0.0427, -0.0684, -0.0261, -0.047, -0.0299, -0.0427, -0.0076, 0.0363, 0.0265, 0.0128, 0.0462, 0.0513, 0.0684, 0.0771, 0.077, 0.0257, 0.0257, 0.0513, 0.078, 0.0726, 0.0974, 0.0812, 0.0893, 0.0991, 0.1453, 0.2137, 0.1769, 0.3204, 0.2855, 0.4231, 0.453, 0.5641, 0.7094, 0.9915, 0.8803, 0.8291, 0.6068, 0.7094, 0.7521, 0.8077, 0.8376, 0.8718, 1.0598, 1.5128, 2.547, 3.0769, 2.4615, 2.4615, 2.6496, 3.1372, 3.3739, 3.2735, 3.4103, 3.6705, 3.5128, 3.1453, 2.8889, 2.3061, 2.4038, 1.9915, 2.2692, 2.4188, 2.6239, 2.9315, 2.7179, 2.6251, 2.7462, 2.3487, 2.391, 2.5214, 2.4188, 2.3333, 2.453, 2.453, 2.4816, 2.4188, 2.3591, 2.2906, 2.2137, 2.418, 2.3462, 2.2051, 1.9573, 2.2308]}
{"unit_id": "quote:894755670590750720", "ticker_idx": 0, "ts": "2017-08-08T03:02:30+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$GBTC is the only way to play #bitcoin in an #IRA, #ETF, or any other financially regulated portfolio", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Endorses GBTC as the sole regulated-vehicle play on Bitcoin; bullish on both BTC and GBTC.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Yes...$GBTC is the only way to play #bitcoin in an #IRA, #ETF, or any other financially regulated portfolio. https://t.co/lytlZFeBTa", "reply_text": null, "parent_text": null, "quoted_text": "This simulation from @lvb suggests that if you plan to only sell your $BTC at &gt;$20,000, you're better off putting $GBTC in a Roth IRA today. https://t.co/QFkZG4G9Ka", "parent_author": null, "ret_m1d": -0.011988514623780588, "ret_signed_m1d": -0.011988514623780588, "alpha_spy_m1d": -0.014455515110537664, "alpha_c_m1d": null, "bench_spy_m1d": 0.002467000486757076, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.022652436016542987, "ret_signed_p1d": -0.022652436016542987, "alpha_spy_p1d": -0.022612138511893365, "alpha_c_p1d": null, "bench_spy_p1d": -4.029750464962234e-05, "bench_c_p1d": null, "ret_p1w": 0.22280807482884524, "ret_signed_p1w": 0.22280807482884524, "alpha_spy_p1w": 0.2258415066726983, "alpha_c_p1w": null, "bench_spy_p1w": -0.003033431843853074, "bench_c_p1w": null, "ret_p1m": 0.34421077444336734, "ret_signed_p1m": 0.34421077444336734, "alpha_spy_p1m": 0.34566672541100674, "alpha_c_p1m": null, "bench_spy_p1m": -0.0014559509676393967, "bench_c_p1m": null, "ret_p3m": 1.1075691062168862, "ret_signed_p3m": 1.1075691062168862, "alpha_spy_p3m": 1.0571256955635715, "alpha_c_p3m": null, "bench_spy_p3m": 0.0504434106533147, "bench_c_p3m": null, "ret_p6m": 1.9886781009295067, "ret_signed_p6m": 1.9886781009295067, "alpha_spy_p6m": 1.8370683360155171, "alpha_c_p6m": null, "bench_spy_p6m": 0.1516097649139896, "bench_c_p6m": null, "price_path": [-0.4595, -0.4958, -0.4917, -0.4928, -0.4622, -0.4478, -0.4188, -0.3645, -0.3215, -0.2855, -0.326, -0.356, -0.3405, -0.3639, -0.3314, -0.2959, -0.2723, -0.2144, -0.1628, -0.2011, -0.1796, -0.1743, -0.2223, -0.2055, -0.2671, -0.2793, -0.2636, -0.2428, -0.2041, -0.2137, -0.2089, -0.1974, -0.2753, -0.2537, -0.2471, -0.2575, -0.2746, -0.2503, -0.2393, -0.2392, -0.2372, -0.2635, -0.3063, -0.3164, -0.2986, -0.3105, -0.347, -0.3484, -0.322, -0.3352, -0.1761, -0.2199, -0.1945, -0.2466, -0.2604, -0.2188, -0.1786, -0.1592, -0.2052, -0.2074, -0.1799, -0.1532, -0.012, 0.0, -0.0227, -0.0113, 0.0675, 0.2647, 0.2228, 0.2797, 0.2666, 0.2166, 0.1701, 0.199, 0.2139, 0.2675, 0.2783, 0.2815, 0.3389, 0.3349, 0.3753, 0.4304, 0.2387, 0.2797, 0.3442, 0.345, 0.2365, 0.2168, 0.2079, 0.1353, -0.0775, 0.0636, 0.1887, 0.1477, 0.1421, 0.0617, 0.0616, 0.148, 0.1381, 0.2283, 0.2207, 0.2173, 0.2893, 0.2624, 0.2367, 0.2656, 0.278, 0.3954, 0.3983, 0.4113, 0.5927, 0.6513, 0.6742, 0.6391, 0.6347, 0.6692, 0.7578, 0.734, 0.616, 0.6815, 0.7266, 0.6904, 0.7926, 0.8914, 0.9788, 1.0698, 1.1076, 1.0535, 1.089, 1.1812, 1.0888, 0.9352, 0.918, 0.9403, 1.1391, 1.3017, 1.2541, 1.3979, 1.3601, 1.4134, 1.3506, 1.4134, 1.8709, 1.9412, 1.8915, 1.9923, 2.2093, 2.4086, 2.4845, 3.1789, 4.2339, 3.8449, 3.9524, 4.0923, 3.7978, 3.8434, 4.1775, 4.589, 4.198, 3.8611, 3.6208, 3.0445, 3.1014, 3.7076, 3.6312, 3.271, 3.2855, 2.9934, 3.3808, 3.4448, 3.5612, 4.0964, 3.4358, 3.2677, 3.3782, 2.9199, 3.088, 3.0409, 2.3599, 2.2716, 2.3553, 2.394, 2.1964, 2.178, 2.3215, 2.2923, 2.2665, 2.3031, 1.9551, 1.9887]}
{"unit_id": "quote:894755670590750720", "ticker_idx": 1, "ts": "2017-08-08T03:02:30+00:00", "symbol": "GBTC", "kind": "etf", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$GBTC is the only way to play #bitcoin in an #IRA, #ETF, or any other financially regulated portfolio", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Endorses GBTC as the sole regulated-vehicle play on Bitcoin; bullish on both BTC and GBTC.", "resolved_tickers": ["GBTC"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Yes...$GBTC is the only way to play #bitcoin in an #IRA, #ETF, or any other financially regulated portfolio. https://t.co/lytlZFeBTa", "reply_text": null, "parent_text": null, "quoted_text": "This simulation from @lvb suggests that if you plan to only sell your $BTC at &gt;$20,000, you're better off putting $GBTC in a Roth IRA today. https://t.co/QFkZG4G9Ka", "parent_author": null, "ret_m1d": 0.018903509289670106, "ret_signed_m1d": 0.018903509289670106, "alpha_spy_m1d": 0.01643650880291303, "alpha_c_m1d": 0.01643650880291303, "bench_spy_m1d": 0.002467000486757076, "bench_c_m1d": 0.002467000486757076, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.01701333996805532, "ret_signed_p1d": -0.01701333996805532, "alpha_spy_p1d": -0.016973042463405696, "alpha_c_p1d": -0.016973042463405696, "bench_spy_p1d": -4.029750464962234e-05, "bench_c_p1d": -4.029750464962234e-05, "ret_p1w": 0.2949149033349465, "ret_signed_p1w": 0.2949149033349465, "alpha_spy_p1w": 0.2979483351787996, "alpha_c_p1w": 0.2979483351787996, "bench_spy_p1w": -0.003033431843853074, "bench_c_p1w": -0.003033431843853074, "ret_p1m": 0.5694707144524038, "ret_signed_p1m": 0.5694707144524038, "alpha_spy_p1m": 0.5709266654200432, "alpha_c_p1m": 0.5709266654200432, "bench_spy_p1m": -0.0014559509676393967, "bench_c_p1m": -0.0014559509676393967, "ret_p3m": 0.795841191634802, "ret_signed_p3m": 0.795841191634802, "alpha_spy_p3m": 0.7453977809814873, "alpha_c_p3m": 0.7453977809814873, "bench_spy_p3m": 0.0504434106533147, "bench_c_p3m": 0.0504434106533147, "ret_p6m": 1.6818335441492014, "ret_signed_p6m": 1.6818335441492014, "alpha_spy_p6m": 1.5302237792352118, "alpha_c_p6m": 1.5302237792352118, "bench_spy_p6m": 0.1516097649139896, "bench_c_p6m": 0.1516097649139896, "price_path": [-0.5955, -0.6446, -0.6219, -0.6125, -0.6002, -0.5936, -0.586, -0.5444, -0.4442, -0.2155, -0.0983, -0.2344, -0.2344, -0.1928, -0.085, -0.0326, -0.0548, -0.0246, 0.033, -0.0019, -0.0832, -0.1399, -0.2688, -0.2472, -0.3384, -0.2769, -0.2439, -0.1985, -0.1305, -0.1777, -0.1982, -0.1715, -0.2594, -0.25, -0.2212, -0.2439, -0.2628, -0.2363, -0.2363, -0.23, -0.2439, -0.2571, -0.2722, -0.2892, -0.244, -0.2599, -0.2911, -0.3459, -0.2854, -0.3233, -0.2627, -0.2514, -0.2098, -0.2363, -0.2429, -0.2344, -0.206, -0.206, -0.1985, -0.1624, -0.1078, -0.1021, 0.0189, 0.0, -0.017, 0.0586, 0.1655, 0.3989, 0.2949, 0.3856, 0.4045, 0.3299, 0.3214, 0.3568, 0.38, 0.4178, 0.4272, 0.4485, 0.5747, 0.7524, 0.8998, 0.5123, 0.5123, 0.465, 0.5695, 0.4934, 0.3592, 0.3043, 0.3138, 0.0699, -0.0201, 0.1909, 0.4083, 0.3327, 0.3422, 0.2382, 0.2533, 0.3045, 0.3091, 0.3979, 0.3526, 0.327, 0.3431, 0.2968, 0.2942, 0.3157, 0.3006, 0.319, 0.2655, 0.1815, 0.2829, 0.2803, 0.2401, 0.2701, 0.2593, 0.278, 0.328, 0.3006, 0.2854, 0.2798, 0.3228, 0.2883, 0.3724, 0.5659, 0.603, 0.7524, 0.7958, 0.7467, 0.6994, 0.741, 0.7509, 0.6635, 0.62, 0.5123, 0.6446, 0.707, 0.7117, 0.8147, 0.8359, 0.8809, 0.8809, 1.0303, 1.5123, 1.7788, 1.9546, 1.8752, 2.1474, 2.4499, 1.9752, 2.1607, 2.4405, 2.1189, 2.4976, 3.2968, 3.414, 3.4896, 4.1021, 5.5463, 4.7108, 3.5047, 2.3497, 2.7618, 2.7618, 3.4612, 3.0643, 2.6616, 2.811, 2.811, 3.275, 3.2628, 3.1664, 3.4194, 3.1677, 3.0832, 2.707, 2.2287, 2.724, 2.724, 2.2817, 2.0926, 2.5104, 2.3422, 2.1871, 2.1241, 2.157, 2.1853, 2.1096, 2.2925, 2.0121, 1.6818]}
{"unit_id": "quote:873329443833606145", "ticker_idx": 0, "ts": "2017-06-10T00:02:19+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "the purchasing power of #bitcoin has soared", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish Bitcoin: contrasts BTC's soaring purchasing power against dollar's decline, implicitly endorsing Bitcoin over Kurzweil's skepticism.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "The purchasing power of the #dollar has plummeted over the years, while the purchasing power of #bitcoin has soared. https://t.co/JdW0XHf4Xt", "reply_text": null, "parent_text": null, "quoted_text": "Ray Kurzweil ended @xfinance with a bitcoin bombshell: \"I wouldn’t put my money into it.\" https://t.co/svnKV41HaE with @singularityu #xfin https://t.co/GEcVdg83FM", "parent_author": null, "ret_m1d": 0.06173045988174608, "ret_signed_m1d": 0.06173045988174608, "alpha_spy_m1d": 0.06152510662606181, "alpha_c_m1d": null, "bench_spy_m1d": 0.00020535325568427076, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.021578241803352327, "ret_signed_p1d": 0.021578241803352327, "alpha_spy_p1d": 0.016688520478566504, "alpha_c_p1d": null, "bench_spy_p1d": 0.004889721324785823, "bench_c_p1d": null, "ret_p1w": -0.02633065059495987, "ret_signed_p1w": -0.02633065059495987, "alpha_spy_p1w": -0.03657495806171274, "alpha_c_p1w": null, "bench_spy_p1w": 0.010244307466752867, "bench_c_p1w": null, "ret_p1m": -0.12100925990862366, "ret_signed_p1m": -0.12100925990862366, "alpha_spy_p1m": -0.12105459670133989, "alpha_c_p1m": null, "bench_spy_p1m": 4.533679271623292e-05, "bench_c_p1m": null, "ret_p3m": 0.7295187997918824, "ret_signed_p3m": 0.7295187997918824, "alpha_spy_p3m": 0.7101491431794027, "alpha_c_p3m": null, "bench_spy_p3m": 0.01936965661247969, "bench_c_p3m": null, "ret_p6m": 3.480585916229386, "ret_signed_p6m": 3.480585916229386, "alpha_spy_p6m": 3.388434582738374, "alpha_c_p6m": null, "bench_spy_p6m": 0.09215133349101179, "bench_c_p6m": null, "price_path": [-0.5302, -0.5534, -0.5863, -0.6036, -0.5787, -0.6055, -0.6095, -0.6475, -0.6068, -0.6063, -0.609, -0.6141, -0.597, -0.5699, -0.5739, -0.5771, -0.5553, -0.5575, -0.5536, -0.5469, -0.5487, -0.5604, -0.561, -0.5511, -0.5444, -0.5449, -0.5379, -0.5405, -0.53, -0.5242, -0.5183, -0.5045, -0.505, -0.4655, -0.4538, -0.4397, -0.4218, -0.4152, -0.352, -0.34, -0.3281, -0.305, -0.3517, -0.3464, -0.3479, -0.3085, -0.2899, -0.2526, -0.1828, -0.1275, -0.0812, -0.1333, -0.1719, -0.1519, -0.182, -0.1403, -0.0947, -0.0643, 0.0102, 0.0765, 0.0273, 0.0549, 0.0617, 0.0, 0.0216, -0.0576, -0.0733, -0.053, -0.0263, 0.0234, 0.0111, 0.0172, 0.0321, -0.0681, -0.0403, -0.0319, -0.0452, -0.0672, -0.0359, -0.0218, -0.0217, -0.0192, -0.053, -0.1079, -0.121, -0.0981, -0.1134, -0.1603, -0.1621, -0.1281, -0.1452, 0.0594, 0.0031, 0.0358, -0.0313, -0.0489, 0.0046, 0.0562, 0.0811, 0.022, 0.0192, 0.0546, 0.0888, 0.2705, 0.2859, 0.2567, 0.2713, 0.3726, 0.6262, 0.5724, 0.6456, 0.6287, 0.5644, 0.5046, 0.5418, 0.5609, 0.6298, 0.6437, 0.6478, 0.7217, 0.7165, 0.7684, 0.8394, 0.5928, 0.6455, 0.7285, 0.7295, 0.59, 0.5646, 0.5532, 0.4598, 0.1862, 0.3677, 0.5285, 0.4758, 0.4686, 0.3652, 0.3651, 0.4762, 0.4635, 0.5794, 0.5697, 0.5653, 0.6579, 0.6233, 0.5902, 0.6274, 0.6434, 0.7942, 0.798, 0.8147, 1.048, 1.1233, 1.1528, 1.1076, 1.1021, 1.1464, 1.2603, 1.2298, 1.078, 1.1623, 1.2202, 1.1736, 1.305, 1.4321, 1.5445, 1.6615, 1.7101, 1.6405, 1.6862, 1.8048, 1.6859, 1.4884, 1.4663, 1.495, 1.7506, 1.9597, 1.8985, 2.0834, 2.0347, 2.1033, 2.0225, 2.1033, 2.6916, 2.782, 2.718, 2.8478, 3.1267, 3.383, 3.4806]}
{"unit_id": "thread:1610822160771170306", "ticker_idx": 0, "ts": "2023-01-05T02:15:05+00:00", "symbol": "oil", "kind": "commodity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "high", "explicit": false, "explicit_audit": "kept_implicit_alias_present", "polarity_reversed": false, "quote": "electric mobility will continue to destroy oil demand", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bearish oil on accelerating EV adoption destroying demand; bullish TSLA on surging sales growth vs. declining overall auto market.", "resolved_tickers": ["USO"], "resolution_method": "etf", "resolution_reason": "Oil commodity; USO is standard ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "self_thread", "lang": "en", "tweet_text": "Not only is the Nasdaq 100 heavy with FAANG but it added another $FANG, Diamondback Energy, when it rebalanced in December. Meanwhile, the oil price has been cut nearly in half since March. According to our research, electric mobility will continue to destroy oil demand.\n\n---\n\nRecently, Hertz said that its EV maintenance costs are 50%+ lower than gas-powered vehicle costs. Now I understand why several of my recent Uber drivers have rented Tesla cars. In other words, electric vehicle miles traveled are rising faster than expected, destroying oil demand.\n\n---\n\nInnovation solves problems and gains traction during tough times. Last year, total auto sales dropped 8% as electric vehicle sales soared. Tesla’s auto sales increased 40% during the fourth quarter and for the full year.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.007409628536338642, "ret_signed_m1d": 0.007409628536338642, "alpha_spy_m1d": 0.018954803567968637, "alpha_c_m1d": 0.018954803567968637, "bench_spy_m1d": 0.011545175031629995, "bench_c_m1d": 0.011545175031629995, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.000771890285582888, "ret_signed_p1d": -0.000771890285582888, "alpha_spy_p1d": 0.022160288303688658, "alpha_c_p1d": 0.022160288303688658, "bench_spy_p1d": 0.022932178589271546, "bench_c_p1d": 0.022932178589271546, "ret_p1w": 0.05912321554841893, "ret_signed_p1w": -0.05912321554841893, "alpha_spy_p1w": -0.012784427858506087, "alpha_c_p1w": -0.012784427858506087, "bench_spy_p1w": 0.04633878768991284, "bench_c_p1w": 0.04633878768991284, "ret_p1m": -0.005865965739094925, "ret_signed_p1m": 0.005865965739094925, "alpha_spy_p1m": 0.09277099555840351, "alpha_c_p1m": 0.09277099555840351, "bench_spy_p1m": 0.08690502981930859, "bench_c_p1m": 0.08690502981930859, "ret_p3m": 0.08474834774964646, "ret_signed_p3m": -0.08474834774964646, "alpha_spy_p3m": -0.003432183195596794, "alpha_c_p3m": -0.003432183195596794, "bench_spy_p3m": 0.08131616455404966, "bench_c_p3m": 0.08131616455404966, "ret_p6m": -0.018987335063510802, "ret_signed_p6m": 0.018987335063510802, "alpha_spy_p6m": 0.19623621875889308, "alpha_c_p6m": 0.19623621875889308, "bench_spy_p6m": 0.17724888369538228, "bench_c_p6m": 0.17724888369538228, "price_path": [0.1389, 0.1076, 0.0949, 0.1195, 0.0832, 0.0826, 0.0605, 0.0812, 0.0834, 0.0894, 0.0864, 0.09, 0.1264, 0.1365, 0.1241, 0.1042, 0.1287, 0.1436, 0.1314, 0.1859, 0.1818, 0.1496, 0.1064, 0.1152, 0.1482, 0.1101, 0.1308, 0.1121, 0.0827, 0.0656, 0.0656, 0.0803, 0.0406, 0.0406, 0.0337, 0.0324, 0.055, 0.0841, 0.0875, 0.0781, 0.0454, 0.0069, -0.0174, -0.032, -0.0298, -0.0057, 0.0167, 0.0398, 0.0211, 0.0019, 0.0199, 0.0222, 0.0506, 0.0451, 0.0701, 0.0701, 0.0733, 0.0587, 0.0579, 0.0823, 0.0823, 0.0441, -0.0074, 0.0, 0.0008, 0.017, 0.0173, 0.0505, 0.0591, 0.0814, 0.0814, 0.0939, 0.073, 0.0897, 0.1045, 0.1037, 0.084, 0.0885, 0.0949, 0.0729, 0.0513, 0.0701, 0.0398, 0.0276, -0.0059, 0.0111, 0.046, 0.0602, 0.0485, 0.0786, 0.0729, 0.0713, 0.0655, 0.0567, 0.0346, 0.0346, 0.0295, 0.0022, 0.0247, 0.0358, 0.0227, 0.0375, 0.0508, 0.0543, 0.0784, 0.0881, 0.0474, 0.0358, 0.0225, 0.0364, 0.0073, -0.0286, -0.0735, -0.073, -0.0945, -0.077, -0.0548, -0.0489, -0.0585, -0.059, -0.0097, -0.0036, -0.0097, 0.0083, 0.0256, 0.0847, 0.0847, 0.0843, 0.0846, 0.0846, 0.0769, 0.0971, 0.1181, 0.1084, 0.1128, 0.0935, 0.0918, 0.0698, 0.0435, 0.0529, 0.069, 0.0438, 0.009, 0.0159, 0.042, 0.0273, -0.0267, -0.069, -0.063, -0.027, -0.008, 0.0014, -0.006, -0.0236, -0.0418, -0.0276, -0.0346, -0.0028, -0.0114, -0.0136, -0.0134, 0.0014, 0.0136, -0.0107, 0.0003, 0.0003, -0.0383, -0.0641, -0.0344, -0.0097, -0.0116, -0.0153, -0.0011, -0.0204, -0.0286, -0.0701, -0.0408, -0.0455, -0.0211, -0.0066, -0.0066, -0.0133, 0.004, -0.0349, -0.0364, -0.0316, -0.0537, -0.0349, -0.0281, -0.019]}
{"unit_id": "thread:1610822160771170306", "ticker_idx": 1, "ts": "2023-01-05T02:15:05+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Tesla's auto sales increased 40% during the fourth quarter and for the full year", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bearish oil on accelerating EV adoption destroying demand; bullish TSLA on surging sales growth vs. declining overall auto market.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "self_thread", "lang": "en", "tweet_text": "Not only is the Nasdaq 100 heavy with FAANG but it added another $FANG, Diamondback Energy, when it rebalanced in December. Meanwhile, the oil price has been cut nearly in half since March. According to our research, electric mobility will continue to destroy oil demand.\n\n---\n\nRecently, Hertz said that its EV maintenance costs are 50%+ lower than gas-powered vehicle costs. Now I understand why several of my recent Uber drivers have rented Tesla cars. In other words, electric vehicle miles traveled are rising faster than expected, destroying oil demand.\n\n---\n\nInnovation solves problems and gains traction during tough times. Last year, total auto sales dropped 8% as electric vehicle sales soared. Tesla’s auto sales increased 40% during the fourth quarter and for the full year.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.02990758710606012, "ret_signed_m1d": 0.02990758710606012, "alpha_spy_m1d": 0.018362412074430123, "alpha_c_m1d": 0.020530392402738462, "bench_spy_m1d": 0.011545175031629995, "bench_c_m1d": 0.009377194703321656, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.024651090365942707, "ret_signed_p1d": 0.024651090365942707, "alpha_spy_p1d": 0.0017189117766711615, "alpha_c_p1d": 0.0011696944003194432, "bench_spy_p1d": 0.022932178589271546, "bench_c_p1d": 0.023481395965623264, "ret_p1w": 0.11981150679233243, "ret_signed_p1w": 0.11981150679233243, "alpha_spy_p1w": 0.07347271910241959, "alpha_c_p1w": 0.04727559722219232, "bench_spy_p1w": 0.04633878768991284, "bench_c_p1w": 0.07253590957014011, "ret_p1m": 0.7217690958206073, "ret_signed_p1m": 0.7217690958206073, "alpha_spy_p1m": 0.6348640660012987, "alpha_c_p1m": 0.548876612672647, "bench_spy_p1m": 0.08690502981930859, "bench_c_p1m": 0.17289248314796035, "ret_p3m": 0.7453326828226741, "ret_signed_p3m": 0.7453326828226741, "alpha_spy_p3m": 0.6640165182686244, "alpha_c_p3m": 0.5954456131850796, "bench_spy_p3m": 0.08131616455404966, "bench_c_p3m": 0.14988706963759446, "ret_p6m": 1.3723943964259528, "ret_signed_p6m": 1.3723943964259528, "alpha_spy_p6m": 1.1951455127305706, "alpha_c_p6m": 1.0497750440683933, "bench_spy_p6m": 0.17724888369538228, "bench_c_p6m": 0.32261935235755956, "price_path": [1.0207, 0.9621, 0.9688, 1.0094, 0.8578, 0.9879, 0.9956, 1.0123, 0.8786, 0.9434, 0.9145, 1.0158, 1.0359, 1.04, 1.0711, 1.0622, 1.0647, 0.9483, 0.9513, 0.8803, 0.7861, 0.7337, 0.6095, 0.7285, 0.7761, 0.7306, 0.762, 0.694, 0.6601, 0.633, 0.5214, 0.5399, 0.6603, 0.6603, 0.6572, 0.6578, 0.6388, 0.7645, 0.7645, 0.766, 0.6535, 0.6297, 0.5773, 0.5719, 0.6227, 0.5209, 0.4587, 0.4211, 0.4289, 0.3615, 0.3583, 0.2489, 0.2468, 0.136, 0.1161, 0.1161, -0.0112, 0.0215, 0.104, 0.1164, 0.1164, -0.0203, 0.0299, 0.0, 0.0247, 0.0855, 0.0771, 0.1167, 0.1198, 0.1093, 0.1093, 0.1917, 0.1671, 0.1525, 0.2092, 0.3028, 0.3041, 0.309, 0.4525, 0.6123, 0.5104, 0.5699, 0.6441, 0.7063, 0.7218, 0.7651, 0.7837, 0.8243, 0.8789, 0.7844, 0.764, 0.8964, 0.9416, 0.8311, 0.8879, 0.8879, 0.7887, 0.8204, 0.8313, 0.7843, 0.8817, 0.8643, 0.8377, 0.7301, 0.7926, 0.7565, 0.7012, 0.6494, 0.5672, 0.5719, 0.5813, 0.6609, 0.6354, 0.6688, 0.6325, 0.6608, 0.7906, 0.7324, 0.7421, 0.7257, 0.7384, 0.7146, 0.7571, 0.7698, 0.8802, 0.7652, 0.7453, 0.6813, 0.6772, 0.6772, 0.6722, 0.6929, 0.6362, 0.6848, 0.6766, 0.6951, 0.6704, 0.6367, 0.4772, 0.4961, 0.4732, 0.4561, 0.3934, 0.4518, 0.4891, 0.4666, 0.4529, 0.4556, 0.4609, 0.5412, 0.5569, 0.533, 0.5275, 0.5595, 0.5224, 0.5076, 0.5092, 0.5757, 0.6031, 0.6326, 0.7117, 0.6836, 0.6576, 0.6718, 0.7507, 0.7507, 0.8231, 0.8482, 0.8807, 0.9392, 0.9722, 1.0057, 1.0353, 1.1285, 1.215, 1.2642, 1.3447, 1.3273, 1.3192, 1.3612, 1.3612, 1.4873, 1.3515, 1.3981, 1.3255, 1.1846, 1.2676, 1.3223, 1.3337, 1.3724]}
{"unit_id": "orig:890035861282328576", "ticker_idx": 0, "ts": "2017-07-26T02:27:40+00:00", "symbol": "copper", "kind": "commodity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Dr. #Copper is telling us that the global economy is gaining momentum", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Copper signaling global economic momentum; USD adding to the upside.", "resolved_tickers": ["CPER"], "resolution_method": "etf", "resolution_reason": "Copper commodity; CPER is copper ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "original", "lang": "en", "tweet_text": "Dr. #Copper is telling us that the global economy is gaining momentum, and that the #USDollar is turbocharging it. https://t.co/OL9nF6qSEd", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.01615504803396206, "ret_signed_m1d": -0.01615504803396206, "alpha_spy_m1d": -0.016114565897377142, "alpha_c_m1d": -0.016114565897377142, "bench_spy_m1d": -4.0482136584918393e-05, "bench_c_m1d": -4.0482136584918393e-05, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.001615443176621878, "ret_signed_p1d": -0.001615443176621878, "alpha_spy_p1d": -0.0006859110404227042, "alpha_c_p1d": -0.0006859110404227042, "bench_spy_p1d": -0.0009295321361991737, "bench_c_p1d": -0.0009295321361991737, "ret_p1w": 0.0021540611838832824, "ret_signed_p1w": 0.0021540611838832824, "alpha_spy_p1w": 0.002113508274332432, "alpha_c_p1w": 0.002113508274332432, "bench_spy_p1w": 4.055290955085056e-05, "bench_c_p1w": 4.055290955085056e-05, "ret_p1m": 0.05708128612612873, "ret_signed_p1m": 0.05708128612612873, "alpha_spy_p1m": 0.07098413989736174, "alpha_c_p1m": 0.07098413989736174, "bench_spy_p1m": -0.013902853771233015, "bench_c_p1m": -0.013902853771233015, "ret_p3m": 0.09854603951426588, "ret_signed_p3m": 0.09854603951426588, "alpha_spy_p3m": 0.058328664595398205, "alpha_c_p3m": 0.058328664595398205, "bench_spy_p3m": 0.04021737491886768, "bench_c_p3m": 0.04021737491886768, "ret_p6m": 0.09962307010620752, "ret_signed_p6m": 0.09962307010620752, "alpha_spy_p6m": -0.03992826750638967, "alpha_c_p6m": -0.03992826750638967, "bench_spy_p6m": 0.1395513376125972, "bench_c_p6m": 0.1395513376125972, "price_path": [-0.0899, -0.07, -0.0792, -0.1169, -0.1222, -0.1147, -0.133, -0.1314, -0.1239, -0.119, -0.1158, -0.1142, -0.1039, -0.1099, -0.1152, -0.0937, -0.0926, -0.0959, -0.0948, -0.0915, -0.1029, -0.1029, -0.1055, -0.0975, -0.0926, -0.1007, -0.1061, -0.1088, -0.1023, -0.0926, -0.0813, -0.0899, -0.0937, -0.0937, -0.1039, -0.1039, -0.0953, -0.0953, -0.0937, -0.0937, -0.0851, -0.0835, -0.0808, -0.0716, -0.0716, -0.0598, -0.07, -0.07, -0.0775, -0.0738, -0.0738, -0.0819, -0.0819, -0.0819, -0.0819, -0.0819, -0.0517, -0.0495, -0.0495, -0.0544, -0.0565, -0.0565, -0.0162, 0.0, -0.0016, 0.0011, 0.0038, 0.0, 0.0022, 0.0005, 0.0027, 0.0092, 0.0194, 0.014, 0.0086, 0.0118, 0.0102, 0.0038, 0.0334, 0.0075, 0.0188, 0.0361, 0.0393, 0.0382, 0.0571, 0.0571, 0.0689, 0.0749, 0.0668, 0.0662, 0.0743, 0.0743, 0.0792, 0.0878, 0.084, 0.0501, 0.0625, 0.0479, 0.0275, 0.0205, 0.0205, 0.0253, 0.0258, 0.0221, 0.0135, 0.0167, 0.014, 0.0092, 0.0097, 0.0097, 0.0205, 0.0194, 0.0194, 0.0215, 0.0501, 0.0495, 0.0506, 0.0598, 0.07, 0.0797, 0.0792, 0.1174, 0.1061, 0.098, 0.0969, 0.0905, 0.0985, 0.1077, 0.0975, 0.1002, 0.0759, 0.0775, 0.0716, 0.0813, 0.0845, 0.0802, 0.0953, 0.0673, 0.0727, 0.0711, 0.0635, 0.0819, 0.0576, 0.0582, 0.0587, 0.0652, 0.0711, 0.0851, 0.0878, 0.0878, 0.0996, 0.084, 0.0673, 0.056, 0.0587, 0.0635, 0.0582, 0.0167, 0.0221, 0.0188, 0.0258, 0.035, 0.0398, 0.0544, 0.0533, 0.077, 0.0808, 0.0802, 0.0991, 0.1066, 0.1147, 0.1147, 0.1249, 0.1276, 0.1395, 0.1341, 0.1341, 0.1265, 0.1206, 0.119, 0.1104, 0.1115, 0.1055, 0.112, 0.1099, 0.1088, 0.1088, 0.1045, 0.0948, 0.0996]}
{"unit_id": "orig:890035861282328576", "ticker_idx": 1, "ts": "2017-07-26T02:27:40+00:00", "symbol": "DX-Y.NYB", "kind": "index", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": false, "explicit_audit": "flipped_to_implicit", "polarity_reversed": false, "quote": "the #USDollar is turbocharging it", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Copper signaling global economic momentum; USD adding to the upside.", "resolved_tickers": ["UUP"], "resolution_method": "etf", "resolution_reason": "DX-Y.NYB = DXY dollar index; UUP proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "original", "lang": "en", "tweet_text": "Dr. #Copper is telling us that the global economy is gaining momentum, and that the #USDollar is turbocharging it. https://t.co/OL9nF6qSEd", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.005777992744222971, "ret_signed_m1d": 0.005777992744222971, "alpha_spy_m1d": 0.005818474880807889, "alpha_c_m1d": 0.005818474880807889, "bench_spy_m1d": -4.0482136584918393e-05, "bench_c_m1d": -4.0482136584918393e-05, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0037144844824159584, "ret_signed_p1d": 0.0037144844824159584, "alpha_spy_p1d": 0.004644016618615132, "alpha_c_p1d": 0.004644016618615132, "bench_spy_p1d": -0.0009295321361991737, "bench_c_p1d": -0.0009295321361991737, "ret_p1w": -0.006190619013844878, "ret_signed_p1w": -0.006190619013844878, "alpha_spy_p1w": -0.0062311719233957286, "alpha_c_p1w": -0.0062311719233957286, "bench_spy_p1w": 4.055290955085056e-05, "bench_c_p1w": 4.055290955085056e-05, "ret_p1m": -0.0016507877637607082, "ret_signed_p1m": -0.0016507877637607082, "alpha_spy_p1m": 0.012252066007472306, "alpha_c_p1m": 0.012252066007472306, "bench_spy_p1m": -0.013902853771233015, "bench_c_p1m": -0.013902853771233015, "ret_p3m": 0.0061907132422691635, "ret_signed_p3m": 0.0061907132422691635, "alpha_spy_p3m": -0.03402666167659851, "alpha_c_p3m": -0.03402666167659851, "bench_spy_p3m": 0.04021737491886768, "bench_c_p3m": 0.04021737491886768, "ret_p6m": -0.024669755285955497, "ret_signed_p6m": -0.024669755285955497, "alpha_spy_p6m": -0.1642210928985527, "alpha_c_p6m": -0.1642210928985527, "bench_spy_p6m": 0.1395513376125972, "bench_c_p6m": 0.1395513376125972, "price_path": [0.0553, 0.0561, 0.0545, 0.0586, 0.052, 0.0504, 0.0561, 0.0615, 0.0619, 0.0623, 0.057, 0.0541, 0.0462, 0.0392, 0.0429, 0.0355, 0.0338, 0.0384, 0.0351, 0.0363, 0.0388, 0.0388, 0.0376, 0.0351, 0.0363, 0.0314, 0.0322, 0.0297, 0.031, 0.0347, 0.038, 0.0363, 0.0351, 0.0343, 0.0404, 0.0367, 0.0413, 0.0429, 0.0409, 0.0413, 0.038, 0.0396, 0.0281, 0.0248, 0.0198, 0.0215, 0.0277, 0.0277, 0.0281, 0.0235, 0.0252, 0.0256, 0.0219, 0.0219, 0.0223, 0.0161, 0.0161, 0.0107, 0.0132, 0.007, 0.0037, 0.0041, 0.0058, 0.0, 0.0037, -0.0025, -0.0066, -0.005, -0.0062, -0.0087, 0.0, -0.0004, 0.0012, 0.0004, -0.0012, -0.005, -0.0008, 0.0037, 0.0004, 0.0025, -0.0008, -0.0037, 0.0004, -0.0037, -0.0017, -0.0099, -0.0128, -0.0116, -0.0054, -0.0083, -0.0062, -0.0062, -0.0116, -0.0124, -0.0194, -0.0219, -0.0153, -0.0157, -0.0099, -0.0128, -0.0161, -0.0136, -0.0165, -0.0087, -0.0116, -0.0124, -0.0066, -0.0033, 0.0017, -0.0012, -0.0021, 0.0037, 0.0033, 0.0021, 0.0074, 0.0058, 0.0041, -0.0012, -0.0041, -0.0021, -0.0021, 0.0004, 0.0029, 0.0017, -0.0008, 0.005, 0.0062, 0.0078, 0.0054, 0.0161, 0.0186, 0.0136, 0.0144, 0.0165, 0.0165, 0.019, 0.0165, 0.0182, 0.0177, 0.0136, 0.0128, 0.0136, 0.0066, 0.0062, 0.0074, 0.0045, 0.0095, 0.0083, 0.0004, 0.0004, -0.0041, -0.0029, 0.0012, 0.0008, -0.0017, -0.0025, 0.0008, 0.0025, 0.005, 0.007, 0.0087, 0.0087, 0.0103, 0.0033, 0.0041, 0.0083, 0.0067, 0.0038, 0.0026, 0.0022, 0.0026, 0.0026, 0.0018, -0.0003, -0.0032, -0.0073, -0.0073, -0.0115, -0.0077, -0.011, -0.0102, -0.0057, -0.0036, -0.0061, -0.0102, -0.0205, -0.0205, -0.0259, -0.0234, -0.0247]}
{"unit_id": "quote:1953270214906524136", "ticker_idx": 0, "ts": "2025-08-07T01:41:23+00:00", "symbol": "SHOP", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$SHOP seems to be seizing the agentic AI moment in retail", "tweet_type": "news_reaction", "timeline": "unspecified", "summary": "Bullish SHOP: earnings show it is capitalizing on agentic AI in retail.", "resolved_tickers": ["SHOP"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": "Software - Application", "unit_kind": "quote", "lang": "en", "tweet_text": "Based on its earnings report last night, $SHOP seems to be seizing the agentic AI moment in retail. Great foresight and insights in this blog, @GrousARK  and @varshikaARK!", "reply_text": null, "parent_text": null, "quoted_text": "AI agents may soon make our buying decisions. Will marketplaces adapt or fade into the background? In part two of our series on their evolution, @GrousARK and @varshikaARK explore how marketplaces can compete by optimizing price, inventory, and delivery.\n\nhttps://t.co/PpWVM8kPMj", "parent_author": null, "ret_m1d": 0.02535239548936996, "ret_signed_m1d": 0.02535239548936996, "alpha_spy_m1d": 0.024514069291204033, "alpha_c_m1d": 0.024514069291204033, "bench_spy_m1d": 0.0008383261981659285, "bench_c_m1d": 0.0008383261981659285, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.009664437963081585, "ret_signed_p1d": -0.009664437963081585, "alpha_spy_p1d": -0.01746201066263986, "alpha_c_p1d": -0.01746201066263986, "bench_spy_p1d": 0.007797572699558275, "bench_c_p1d": 0.007797572699558275, "ret_p1w": -0.04501226399733993, "ret_signed_p1w": -0.04501226399733993, "alpha_spy_p1w": -0.06509928402857545, "alpha_c_p1w": -0.06509928402857545, "bench_spy_p1w": 0.020087020031235525, "bench_c_p1w": 0.020087020031235525, "ret_p1m": -0.028132652372743094, "ret_signed_p1m": -0.028132652372743094, "alpha_spy_p1m": -0.051841483021115464, "alpha_c_p1m": -0.051841483021115464, "bench_spy_p1m": 0.02370883064837237, "bench_c_p1m": 0.02370883064837237, "ret_p3m": 0.06533391565941349, "ret_signed_p3m": 0.06533391565941349, "alpha_spy_p3m": -0.005622301924933737, "alpha_c_p3m": -0.005622301924933737, "bench_spy_p3m": 0.07095621758434723, "bench_c_p3m": 0.07095621758434723, "ret_p6m": -0.13132991748719558, "ret_signed_p6m": -0.13132991748719558, "alpha_spy_p6m": -0.23206341153460253, "alpha_c_p6m": -0.23206341153460253, "bench_spy_p6m": 0.10073349404740695, "bench_c_p6m": 0.10073349404740695, "price_path": [-0.3093, -0.2872, -0.2623, -0.2705, -0.2669, -0.2778, -0.2955, -0.3227, -0.3163, -0.3281, -0.3281, -0.2934, -0.291, -0.2871, -0.2903, -0.2948, -0.3042, -0.3144, -0.3048, -0.2625, -0.2864, -0.2701, -0.2445, -0.2771, -0.3027, -0.2827, -0.2948, -0.2985, -0.2985, -0.2957, -0.272, -0.2426, -0.2461, -0.2515, -0.2477, -0.2364, -0.2542, -0.2403, -0.2287, -0.2287, -0.2278, -0.2554, -0.2433, -0.2377, -0.2579, -0.2272, -0.2384, -0.2057, -0.161, -0.1589, -0.1499, -0.1811, -0.191, -0.1919, -0.1763, -0.1604, -0.1736, -0.1857, -0.191, -0.2149, -0.1712, -0.1593, 0.0254, 0.0, -0.0097, -0.0236, -0.0117, -0.0065, -0.045, -0.0635, -0.0527, -0.0782, -0.0912, -0.0953, -0.0593, -0.0698, -0.0677, -0.074, -0.0631, -0.0648, -0.0648, -0.0796, -0.0718, -0.0392, -0.0281, -0.0321, -0.0505, -0.0587, -0.04, -0.0509, -0.021, -0.0256, -0.0212, 0.0069, 0.0148, 0.04, -0.0075, -0.0148, -0.0504, -0.0716, -0.0137, -0.0163, -0.0099, 0.0015, 0.0667, 0.0889, 0.0676, 0.1017, 0.0847, -0.0003, 0.0171, 0.012, 0.034, 0.0364, 0.0443, 0.0903, 0.0766, 0.0724, 0.1056, 0.1448, 0.1588, 0.1846, 0.1849, 0.1492, 0.1509, 0.1448, 0.0653, 0.0784, 0.033, 0.0089, 0.0517, 0.0521, 0.0365, -0.0313, -0.0333, -0.0737, -0.0703, -0.0336, -0.0431, -0.0216, 0.0281, 0.0417, 0.0547, 0.0547, 0.0501, -0.0118, 0.0381, 0.0591, 0.0744, 0.0663, 0.0486, 0.0584, 0.1148, 0.0906, 0.0868, 0.0581, 0.0799, 0.0706, 0.1041, 0.1225, 0.1231, 0.1222, 0.1217, 0.1217, 0.1308, 0.1113, 0.0839, 0.0655, 0.0655, 0.0406, 0.1002, 0.115, 0.1037, 0.1139, 0.0888, 0.1116, 0.1084, 0.0426, 0.0458, 0.0314, 0.0314, -0.0435, -0.0829, -0.0889, -0.0872, -0.0977, -0.0898, -0.0804, -0.0492, -0.1313]}
{"unit_id": "quote:1570164724859273217", "ticker_idx": 0, "ts": "2022-09-14T21:36:57+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "The difference between linear and exponential growth rates should continue to throw analysts' forecasts for $TSLA and other EV manufacturers off course", "tweet_type": "analysis", "timeline": "years", "summary": "Bullish TSLA: exponential EV adoption curve will push unit volumes far above consensus forecasts, implying analysts are underestimating growth.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "The difference between linear and exponential growth rates should continue to throw analysts’ forecasts for $TSLA and other EV manufacturers off course. In terms of units, the difference will approach 40 million (59 million-21 million) by 2027.", "reply_text": null, "parent_text": null, "quoted_text": "3/That diffusion curve suggests roughly 59 million EVs sold globally in 2027, which is in line with ARK's expectations.\n\nA linear forecast of the past few years suggests ~21 million EVs sold globally and is in line with some other EV forecasts. https://t.co/9U6xrpWoGs", "parent_author": null, "ret_m1d": -0.03463197176581834, "ret_signed_m1d": -0.03463197176581834, "alpha_spy_m1d": -0.030830586167969853, "alpha_c_m1d": -0.021947658360672584, "bench_spy_m1d": -0.0038013855978484834, "bench_c_m1d": -0.012684313405145753, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.003767273730617582, "ret_signed_p1d": 0.003767273730617582, "alpha_spy_p1d": 0.015120650984997153, "alpha_c_p1d": 0.008890907945992454, "bench_spy_p1d": -0.01135337725437957, "bench_c_p1d": -0.005123634215374873, "ret_p1w": -0.0059812882793373046, "ret_signed_p1w": -0.0059812882793373046, "alpha_spy_p1w": 0.03370414224082585, "alpha_c_p1w": 0.03343892604708376, "bench_spy_p1w": -0.039685430520163156, "bench_c_p1w": -0.039420214326421066, "ret_p1m": -0.267307716356035, "ret_signed_p1m": -0.267307716356035, "alpha_spy_p1m": -0.19856288077350992, "alpha_c_p1m": -0.14717647616140628, "bench_spy_p1m": -0.06874483558252509, "bench_c_p1m": -0.12013124019462873, "ret_p3m": -0.4454247531546228, "ret_signed_p3m": -0.4454247531546228, "alpha_spy_p3m": -0.46060173205523613, "alpha_c_p3m": -0.3206600057433492, "bench_spy_p3m": 0.015176978900613314, "bench_c_p3m": -0.12476474741127364, "ret_p6m": -0.4285714069611667, "ret_signed_p6m": -0.4285714069611667, "alpha_spy_p6m": -0.42951880342746407, "alpha_c_p6m": -0.3050125275626413, "bench_spy_p6m": 0.0009473964662973788, "bench_c_p6m": -0.12355887939852539, "price_path": [-0.2837, -0.2837, -0.2167, -0.2198, -0.2232, -0.188, -0.1906, -0.2311, -0.2449, -0.2582, -0.249, -0.249, -0.2298, -0.2342, -0.1919, -0.1713, -0.2256, -0.2298, -0.2167, -0.2125, -0.2067, -0.2051, -0.1886, -0.1821, -0.1021, -0.1003, -0.1129, -0.1446, -0.0918, -0.0717, -0.018, -0.0176, -0.0067, 0.0158, 0.0199, -0.0477, -0.0403, -0.0637, -0.0273, -0.0528, -0.0085, 0.0222, 0.0131, 0.0046, 0.0009, -0.0196, -0.042, -0.0203, -0.0182, -0.0216, -0.048, -0.0588, -0.0823, -0.0892, -0.0841, -0.1071, -0.1071, -0.0932, -0.0625, -0.0441, -0.0097, 0.006, -0.0346, 0.0, 0.0038, 0.0024, 0.0213, 0.0202, -0.006, -0.0463, -0.0901, -0.0879, -0.065, -0.0489, -0.1137, -0.1235, -0.199, -0.1757, -0.2042, -0.2131, -0.2628, -0.2632, -0.2846, -0.2821, -0.2673, -0.3226, -0.2751, -0.2724, -0.2663, -0.315, -0.2914, -0.3019, -0.265, -0.2577, -0.2562, -0.2448, -0.2481, -0.2471, -0.2896, -0.2885, -0.3144, -0.3487, -0.3678, -0.4131, -0.3697, -0.3524, -0.369, -0.3575, -0.3823, -0.3947, -0.4045, -0.4453, -0.4385, -0.3946, -0.3946, -0.3957, -0.3955, -0.4024, -0.3566, -0.3566, -0.3561, -0.3971, -0.4058, -0.4249, -0.4269, -0.4083, -0.4454, -0.4681, -0.4818, -0.479, -0.5036, -0.5047, -0.5446, -0.5454, -0.5858, -0.593, -0.593, -0.6395, -0.6275, -0.5974, -0.5929, -0.5929, -0.6428, -0.6245, -0.6354, -0.6264, -0.6042, -0.6073, -0.5928, -0.5917, -0.5955, -0.5955, -0.5655, -0.5744, -0.5798, -0.5591, -0.525, -0.5245, -0.5227, -0.4704, -0.4121, -0.4493, -0.4276, -0.4005, -0.3778, -0.3722, -0.3564, -0.3496, -0.3348, -0.3149, -0.3494, -0.3568, -0.3085, -0.292, -0.3323, -0.3116, -0.3116, -0.3478, -0.3362, -0.3322, -0.3494, -0.3139, -0.3202, -0.3299, -0.3692, -0.3464, -0.3595, -0.3797, -0.3986, -0.4286]}
{"unit_id": "quote:1844049585079283795", "ticker_idx": 0, "ts": "2024-10-09T16:17:36+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Counting down to an important moment in the AI revolution, as Tesla showcases its Cybercab robot and its plans for scaling autonomous mobility globally! Institutional investors seem skeptical, but individual investors understand.", "tweet_type": "analysis", "timeline": "years", "summary": "Bullish TSLA on Cybercab/autonomous mobility platform; ARK sees ~90% of valuation driven by robo-taxi over 5 years, Cathie endorses against institutional skepticism.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "Counting down to an important moment in the AI revolution, as Tesla showcases its Cybercab robot and its plans for scaling autonomous mobility globally! Institutional investors seem skeptical, but individual investors understand.", "reply_text": null, "parent_text": null, "quoted_text": "The final countdown to Cybercab is on. We believe an autonomous taxi platform could unlock a multi-trillion dollar market and drive ~90% of Tesla's valuation over the next five years. When will this happen? See our estimate in @tashaARK's new article ⬇️\n\nhttps://t.co/X3i2w8R4uJ", "parent_author": null, "ret_m1d": 0.014312370481494696, "ret_signed_m1d": 0.014312370481494696, "alpha_spy_m1d": 0.02119118673087339, "alpha_c_m1d": 0.021419185231203675, "bench_spy_m1d": -0.006878816249378694, "bench_c_m1d": -0.007106814749708978, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.009458613360014412, "ret_signed_p1d": -0.009458613360014412, "alpha_spy_p1d": -0.007708552080418984, "alpha_c_p1d": -0.004519215123182985, "bench_spy_p1d": -0.0017500612795954273, "bench_c_p1d": -0.004939398236831427, "ret_p1w": -0.08180875739905669, "ret_signed_p1w": -0.08180875739905669, "alpha_spy_p1w": -0.09074949612794403, "alpha_c_p1w": -0.08437934718228624, "bench_spy_p1w": 0.008940738728887343, "bench_c_p1w": 0.002570589783229549, "ret_p1m": 0.2317361539230407, "ret_signed_p1m": 0.2317361539230407, "alpha_spy_p1m": 0.19973351090744518, "alpha_c_p1m": 0.16263325222029756, "bench_spy_p1m": 0.03200264301559552, "bench_c_p1m": 0.06910290170274314, "ret_p3m": 0.7052478016551149, "ret_signed_p3m": 0.7052478016551149, "alpha_spy_p3m": 0.6702065303723643, "alpha_c_p3m": 0.5600876681944047, "bench_spy_p3m": 0.035041271282750586, "bench_c_p3m": 0.14516013346071022, "ret_p6m": 0.10881557932155261, "ret_signed_p6m": 0.10881557932155261, "alpha_spy_p6m": 0.17294843025502094, "alpha_c_p6m": 0.14148273833154845, "bench_spy_p6m": -0.06413285093346832, "bench_c_p6m": -0.03266715900999584, "price_path": [0.0298, 0.0481, 0.0643, 0.0309, 0.0339, -0.0077, 0.0434, 0.0221, -0.104, -0.0863, -0.0882, -0.0371, -0.0765, -0.0373, -0.1004, -0.1385, -0.1749, -0.1676, -0.2045, -0.1751, -0.1703, -0.1807, -0.1378, -0.1646, -0.1116, -0.1034, -0.076, -0.0828, -0.0738, -0.1261, -0.086, -0.1155, -0.1321, -0.1464, -0.1442, -0.1118, -0.1118, -0.1263, -0.0898, -0.0451, -0.1258, -0.1028, -0.0617, -0.0536, -0.0466, -0.0446, -0.0592, -0.0547, -0.0575, 0.0119, -0.0116, 0.0371, 0.0548, 0.0663, 0.0546, 0.0805, 0.0854, 0.0704, 0.0331, -0.0016, 0.0375, -0.0009, 0.0143, 0.0, -0.0095, -0.0965, -0.0908, -0.0891, -0.0818, -0.0836, -0.0844, -0.0921, -0.0957, -0.1137, 0.0806, 0.1167, 0.089, 0.0766, 0.0685, 0.0365, 0.0329, 0.0074, 0.0431, 0.197, 0.2317, 0.3326, 0.452, 0.3627, 0.37, 0.2909, 0.3305, 0.4053, 0.4354, 0.4189, 0.409, 0.4626, 0.4046, 0.4032, 0.381, 0.381, 0.4319, 0.4814, 0.4579, 0.4849, 0.5328, 0.6147, 0.6171, 0.6635, 0.7622, 0.7345, 0.8097, 0.9208, 0.9907, 0.8259, 0.8095, 0.7468, 0.7864, 0.9178, 0.9178, 0.884, 0.7907, 0.7316, 0.6753, 0.6753, 0.5734, 0.7027, 0.7052, 0.636, 0.6384, 0.6384, 0.6376, 0.6731, 0.6443, 0.7765, 0.7167, 0.7693, 0.7693, 0.7593, 0.7221, 0.7108, 0.6867, 0.6476, 0.6515, 0.6142, 0.6606, 0.6785, 0.5917, 0.6271, 0.5688, 0.5529, 0.5002, 0.455, 0.3628, 0.396, 0.4766, 0.4762, 0.4762, 0.469, 0.4958, 0.4702, 0.4014, 0.3712, 0.2562, 0.2064, 0.1697, 0.2154, 0.1809, 0.1286, 0.1579, 0.0929, 0.0897, -0.0784, -0.0434, 0.0292, -0.0015, 0.037, -0.0126, -0.0653, -0.0215, -0.0199, 0.0318, 0.1549, 0.1954, 0.1286, 0.1331, 0.0933, 0.0751, 0.1137, 0.173, 0.1088]}
{"unit_id": "quote:1033491267479654400", "ticker_idx": 0, "ts": "2018-08-25T23:08:14+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "If @ARKInvest is wrong about $TSLA's autonomous opportunity, then it won't be a 10+ bagger...just a double, if @skorusARK's research is correct", "tweet_type": "prediction", "timeline": "years", "summary": "Long TSLA: even the bear case on autonomy implies a double; bull case is 10x+.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "If @ARKInvest is wrong about $TSLA’s autonomous opportunity, then it won’t be a 10+ bagger...just a double, if @skorusARK’s research is correct.", "reply_text": null, "parent_text": null, "quoted_text": "1/ @CathieDWood wrote a thoughtful letter on why $TSLA should stay public. Here's a quick walkthrough of a valuation of its #EV business, even though the #autonomous opportunity could dwarf its pure hardware business, which @TashaARK explains.", "parent_author": null, "ret_m1d": 0.01111916120149159, "ret_signed_m1d": 0.01111916120149159, "alpha_spy_m1d": 0.01895291836059576, "alpha_c_m1d": 0.01751886082467813, "bench_spy_m1d": -0.007833757159104171, "bench_c_m1d": -0.006399699623186539, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.02320917226401842, "ret_signed_p1d": -0.02320917226401842, "alpha_spy_p1d": -0.023692041785555285, "alpha_c_p1d": -0.02519825945391485, "bench_spy_p1d": 0.00048286952153686613, "bench_c_p1d": 0.0019890871898964324, "ret_p1w": -0.05515706861410152, "ret_signed_p1w": -0.05515706861410152, "alpha_spy_p1w": -0.05698604073793734, "alpha_c_p1w": -0.06657270870801335, "bench_spy_p1w": 0.0018289721238358148, "bench_c_p1w": 0.011415640093911827, "ret_p1m": -0.05725558827865018, "ret_signed_p1m": -0.05725558827865018, "alpha_spy_p1m": -0.06514451357719298, "alpha_c_p1m": -0.06909208833757063, "bench_spy_p1m": 0.007888925298542793, "bench_c_p1m": 0.011836500058920452, "ret_p3m": 0.059260195200503185, "ret_signed_p3m": 0.059260195200503185, "alpha_spy_p3m": 0.1405646262817346, "alpha_c_p3m": 0.17033590119575814, "bench_spy_p3m": -0.08130443108123142, "bench_c_p3m": -0.11107570599525496, "ret_p6m": -0.042691137746604935, "ret_signed_p6m": -0.042691137746604935, "alpha_spy_p6m": -0.011486733027439189, "alpha_c_p6m": -0.005025484955862969, "bench_spy_p6m": -0.031204404719165746, "bench_c_p6m": -0.037665652790741966, "price_path": [-0.0863, -0.1082, -0.086, -0.0706, -0.0881, 0.0007, -0.01, -0.005, 0.0402, 0.0736, 0.0799, 0.1204, 0.1218, 0.1615, 0.1042, 0.1345, 0.0885, 0.045, 0.043, 0.0712, 0.079, 0.096, 0.0742, 0.0495, -0.0263, -0.0263, -0.0317, -0.0325, -0.0024, 0.01, -0.001, -0.008, -0.0013, -0.0287, 0.0107, 0.0143, 0.003, -0.0178, -0.0503, -0.0684, -0.033, -0.0395, -0.0692, -0.0911, -0.0662, -0.0577, 0.0948, 0.0905, 0.0712, 0.1889, 0.16, 0.1039, 0.1134, 0.1163, 0.0889, 0.0608, 0.0507, -0.0431, -0.0339, 0.0082, 0.0074, 0.0026, 0.0111, 0.0, -0.0232, -0.0447, -0.0505, -0.0552, -0.0552, -0.095, -0.1207, -0.12, -0.1755, -0.1058, -0.1248, -0.09, -0.0934, -0.0754, -0.0765, -0.1075, -0.0634, -0.0656, -0.0632, -0.0614, -0.0573, -0.0304, -0.0368, -0.1707, -0.0268, -0.0572, -0.0766, -0.1173, -0.1795, -0.2152, -0.1769, -0.1954, -0.21, -0.1895, -0.1869, -0.1337, -0.1487, -0.1734, -0.1856, -0.1827, -0.0787, -0.0964, -0.0138, 0.0364, 0.0488, 0.0333, 0.0565, 0.0783, 0.085, 0.0693, 0.0682, 0.0905, 0.1006, 0.0978, 0.0376, 0.061, 0.0775, 0.0914, 0.1098, 0.1071, 0.0884, 0.0593, 0.0593, 0.0205, 0.0837, 0.0772, 0.0896, 0.0686, 0.0978, 0.1228, 0.1266, 0.1266, 0.1372, 0.1212, 0.1437, 0.1487, 0.1482, 0.1802, 0.1455, 0.0913, 0.0556, 0.0429, -0.0122, 0.0016, -0.0748, -0.0748, 0.0214, -0.0098, 0.0457, 0.0424, 0.0424, -0.0287, -0.0592, -0.0049, 0.0491, 0.0504, 0.0603, 0.0805, 0.0877, 0.0474, 0.0788, 0.0839, 0.0878, -0.0533, -0.0533, -0.0637, -0.0992, -0.0869, -0.0696, -0.0717, -0.0683, -0.0329, -0.0384, -0.0221, -0.02, 0.0065, -0.0064, -0.0368, -0.0422, -0.0201, -0.0234, -0.0348, -0.0485, -0.0357, -0.0357, -0.0427]}
{"unit_id": "quote:886420958315261954", "ticker_idx": 0, "ts": "2017-07-16T03:03:20+00:00", "symbol": "S&P500", "kind": "index", "geography": "US", "sub_sector": null, "direction": "long", "conviction": "high", "explicit": false, "explicit_audit": "kept_implicit", "polarity_reversed": false, "quote": "If #inflation trends to <1% as a result, this bull market will top that of the 80's", "tweet_type": "prediction", "timeline": "years", "summary": "Bullish US equities broadly: deflation driven by innovation could push bull market beyond 1980s cycle if inflation drops below 1%.", "resolved_tickers": ["SPY"], "resolution_method": "etf", "resolution_reason": "S&P 500 index; SPY ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Good #deflation...caused by disruptive innovation!  If #inflation trends to &lt;1% as a result, this bull market will top that of the 80's. https://t.co/uBcGYrWUyd", "reply_text": null, "parent_text": null, "quoted_text": "“The Fed did not get what it wanted”: Prices for several US consumer goods &amp; services fell in June for a 3rd month #inflation @business https://t.co/G8TB3DQ4Iv", "parent_author": null, "ret_m1d": 0.0001219582819944609, "ret_signed_m1d": 0.0001219582819944609, "alpha_spy_m1d": 0.0, "alpha_c_m1d": 0.0, "bench_spy_m1d": 0.0001219582819944609, "bench_c_m1d": 0.0001219582819944609, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0005293417362350894, "ret_signed_p1d": 0.0005293417362350894, "alpha_spy_p1d": 0.0, "alpha_c_p1d": 0.0, "bench_spy_p1d": 0.0005293417362350894, "bench_c_p1d": 0.0005293417362350894, "ret_p1w": 0.005253977052443792, "ret_signed_p1w": 0.005253977052443792, "alpha_spy_p1w": 0.0, "alpha_c_p1w": 0.0, "bench_spy_p1w": 0.005253977052443792, "bench_c_p1w": 0.005253977052443792, "ret_p1m": 0.003991173929056568, "ret_signed_p1m": 0.003991173929056568, "alpha_spy_p1m": 0.0, "alpha_c_p1m": 0.0, "bench_spy_p1m": 0.003991173929056568, "bench_c_p1m": 0.003991173929056568, "ret_p3m": 0.04225048547954713, "ret_signed_p3m": 0.04225048547954713, "alpha_spy_p3m": 0.0, "alpha_c_p3m": 0.0, "bench_spy_p3m": 0.04225048547954713, "bench_c_p3m": 0.04225048547954713, "ret_p6m": 0.12944530805806176, "ret_signed_p6m": 0.12944530805806176, "alpha_spy_p6m": 0.0, "alpha_c_p6m": 0.0, "bench_spy_p6m": 0.12944530805806176, "bench_c_p6m": 0.12944530805806176, "price_path": [-0.0539, -0.0462, -0.0492, -0.0387, -0.0331, -0.0338, -0.0329, -0.035, -0.0326, -0.0323, -0.0334, -0.0323, -0.0285, -0.0286, -0.0295, -0.0278, -0.0298, -0.0314, -0.0261, -0.0269, -0.0442, -0.0404, -0.0341, -0.0292, -0.0271, -0.0248, -0.0201, -0.0203, -0.0203, -0.0212, -0.0214, -0.0136, -0.0104, -0.0111, -0.0143, -0.0124, -0.0119, -0.0134, -0.0136, -0.0088, -0.0101, -0.012, -0.0118, -0.0035, -0.0103, -0.0105, -0.011, -0.0098, -0.0091, -0.0171, -0.0083, -0.017, -0.0152, -0.0135, -0.0135, -0.0112, -0.0203, -0.0139, -0.0129, -0.0136, -0.0062, -0.0045, 0.0001, 0.0, 0.0005, 0.0059, 0.0064, 0.0055, 0.0053, 0.0077, 0.0077, 0.0068, 0.0056, 0.0051, 0.0073, 0.0078, 0.0058, 0.0077, 0.0095, 0.007, 0.007, -0.0072, -0.0057, 0.0041, 0.004, 0.0057, -0.0099, -0.0115, -0.0107, -0.0004, -0.004, -0.0063, -0.004, -0.0039, -0.0028, 0.002, 0.008, 0.0094, 0.0094, 0.0022, 0.0056, 0.0055, 0.0043, 0.015, 0.0184, 0.0189, 0.0186, 0.0199, 0.0221, 0.0231, 0.0235, 0.0208, 0.021, 0.0189, 0.0195, 0.0235, 0.0247, 0.0283, 0.0328, 0.035, 0.0362, 0.0423, 0.0411, 0.0394, 0.0422, 0.0438, 0.0423, 0.0435, 0.0449, 0.0456, 0.0467, 0.047, 0.0524, 0.0483, 0.0501, 0.0449, 0.0463, 0.0548, 0.0509, 0.0525, 0.0539, 0.0543, 0.0578, 0.0595, 0.0587, 0.0605, 0.0567, 0.0564, 0.0574, 0.0549, 0.0496, 0.0585, 0.0554, 0.0572, 0.0641, 0.0632, 0.0632, 0.0657, 0.0651, 0.0759, 0.0753, 0.0847, 0.0824, 0.0811, 0.0772, 0.0775, 0.0808, 0.0867, 0.09, 0.0919, 0.0918, 0.0874, 0.0964, 0.1034, 0.0991, 0.0985, 0.1008, 0.1005, 0.1005, 0.0992, 0.0997, 0.102, 0.0979, 0.0979, 0.1057, 0.1127, 0.1174, 0.1248, 0.1269, 0.1294]}
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{"unit_id": "quote:991807203886751750", "ticker_idx": 0, "ts": "2018-05-02T22:30:38+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": false, "explicit_audit": "kept_implicit", "polarity_reversed": false, "quote": "autonomous taxis transforming personal transport & autonomous taxi trucks taking the freight market from rail", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish Tesla on autonomous taxi and freight truck potential displacing rail; endorses Elon's narrative.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "Thank you, @elonmusk, for taking the floor from old tired boring short-sighted questions and allowing a retail investor to shine a bright light on your amazing story: autonomous taxis transforming personal transport &amp; autonomous taxi trucks taking the freight market from rail. https://t.co/ah2ryKzQtm", "reply_text": null, "parent_text": null, "quoted_text": "La la la\nhttps://t.co/rLQfmrcNO2", "parent_author": null, "ret_m1d": -0.004084379604094912, "ret_signed_m1d": -0.004084379604094912, "alpha_spy_m1d": -0.010847417993299246, "alpha_c_m1d": -0.010969192850481257, "bench_spy_m1d": 0.006763038389204334, "bench_c_m1d": 0.006884813246386345, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.055454155423032336, "ret_signed_p1d": -0.055454155423032336, "alpha_spy_p1d": -0.053250499716321786, "alpha_c_p1d": -0.05099382298896793, "bench_spy_p1d": -0.00220365570671055, "bench_c_p1d": -0.004460332434064407, "ret_p1w": 0.01892740193859832, "ret_signed_p1w": 0.01892740193859832, "alpha_spy_p1w": -0.0050087339015885135, "alpha_c_p1w": 0.007679273818565591, "bench_spy_p1w": 0.023936135840186834, "bench_c_p1w": 0.01124812812003273, "ret_p1m": -0.05452435864257843, "ret_signed_p1m": -0.05452435864257843, "alpha_spy_p1m": -0.08393177994356449, "alpha_c_p1m": -0.08002632270919052, "bench_spy_p1m": 0.02940742130098606, "bench_c_p1m": 0.025501964066612093, "ret_p3m": -0.03646025121138641, "ret_signed_p3m": -0.03646025121138641, "alpha_spy_p3m": -0.10487644600116763, "alpha_c_p3m": -0.11316840306598686, "bench_spy_p3m": 0.06841619478978123, "bench_c_p3m": 0.07670815185460045, "ret_p6m": 0.04552546106025912, "ret_signed_p6m": 0.04552546106025912, "alpha_spy_p6m": 0.010112011885094807, "alpha_c_p6m": 0.004798207845384539, "bench_spy_p6m": 0.03541344917516431, "bench_c_p6m": 0.04072725321487458, "price_path": [0.1415, 0.1062, 0.109, 0.1456, 0.0468, 0.0308, 0.0484, 0.0747, 0.0703, 0.1093, 0.114, 0.114, 0.1116, 0.1068, 0.1495, 0.169, 0.1869, 0.1655, 0.1392, 0.0989, 0.1128, 0.1069, 0.0898, 0.1034, 0.0928, 0.0864, 0.1473, 0.1351, 0.0846, 0.0812, 0.0671, 0.0412, 0.0312, 0.0511, 0.0264, 0.0013, 0.0101, -0.073, -0.144, -0.1163, -0.1163, -0.1616, -0.1116, -0.0472, 0.0152, -0.0061, -0.0382, 0.0118, -0.0007, -0.0235, -0.0027, -0.033, -0.0447, -0.0259, -0.0036, -0.0362, -0.059, -0.0587, -0.0679, -0.052, -0.0235, -0.0241, -0.0041, 0.0, -0.0555, -0.0234, 0.0054, 0.0027, 0.0189, 0.0129, -0.0003, -0.0305, -0.0564, -0.0487, -0.0552, -0.0808, -0.0553, -0.0868, -0.0733, -0.0774, -0.074, -0.074, -0.0577, -0.0313, -0.0545, -0.031, -0.0146, -0.0333, 0.0609, 0.0496, 0.0548, 0.1028, 0.1382, 0.1449, 0.1878, 0.1893, 0.2314, 0.1707, 0.2028, 0.1539, 0.1079, 0.1058, 0.1356, 0.1439, 0.162, 0.1388, 0.1126, 0.0322, 0.0322, 0.0266, 0.0257, 0.0576, 0.0708, 0.0591, 0.0517, 0.0588, 0.0297, 0.0715, 0.0754, 0.0634, 0.0413, 0.0068, -0.0124, 0.0252, 0.0183, -0.0132, -0.0365, -0.01, -0.001, 0.1607, 0.1561, 0.1356, 0.2604, 0.2298, 0.1703, 0.1804, 0.1835, 0.1544, 0.1247, 0.1139, 0.0144, 0.0242, 0.0689, 0.068, 0.0629, 0.072, 0.0602, 0.0356, 0.0128, 0.0066, 0.0017, 0.0017, -0.0405, -0.0678, -0.0671, -0.1259, -0.052, -0.0721, -0.0352, -0.0388, -0.0198, -0.021, -0.0538, -0.0071, -0.0094, -0.0068, -0.0049, -0.0005, 0.028, 0.0212, -0.1208, 0.0317, -0.0004, -0.0211, -0.0642, -0.1302, -0.168, -0.1273, -0.147, -0.1624, -0.1407, -0.138, -0.0816, -0.0975, -0.1237, -0.1366, -0.1335, -0.0233, -0.042, 0.0455]}
{"unit_id": "quote:1749122642873909652", "ticker_idx": 0, "ts": "2024-01-21T17:31:49+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "He believes that bitcoin - the return to private rules-based money - could become the most positive step forward in global monetary history", "tweet_type": "prediction", "timeline": "years", "summary": "Endorses Laffer's view that Bitcoin could be the most positive step forward in global monetary history; bullish long-term.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Dr. Arthur Laffer, of Laffer Curve fame, also is a monetary scholar, mentored by Nobel Prize winner Robert Mundell. He believes that bitcoin - the return to private rules-based money - could become the most positive step forward in global monetary history.", "reply_text": null, "parent_text": null, "quoted_text": "Claim: \"Bitcoin has no intrinsic value\"\n\nCounter-claim: Bitcoin is a contender for the role of a global money.\n\nWhile bitcoin's value drivers differ from traditional assets, it's incorrect to assert that it has no intrinsic value. Its characteristics as a monetary asset underpin", "parent_author": null, "ret_m1d": 0.053434060854551824, "ret_signed_m1d": 0.053434060854551824, "alpha_spy_m1d": 0.05554394844980215, "alpha_c_m1d": null, "bench_spy_m1d": -0.002109887595250326, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.008560013431039293, "ret_signed_p1d": 0.008560013431039293, "alpha_spy_p1d": 0.005643570077944027, "alpha_c_p1d": null, "bench_spy_p1d": 0.002916443353095266, "bench_c_p1d": null, "ret_p1w": 0.09570060410014514, "ret_signed_p1w": 0.09570060410014514, "alpha_spy_p1w": 0.0795251883736765, "alpha_c_p1w": null, "bench_spy_p1w": 0.016175415726468634, "bench_c_p1w": null, "ret_p1m": 0.32342088886507114, "ret_signed_p1m": 0.32342088886507114, "alpha_spy_p1m": 0.29588960912798945, "alpha_c_p1m": null, "bench_spy_p1m": 0.027531279737081693, "bench_c_p1m": null, "ret_p3m": 0.6076179818518817, "ret_signed_p3m": 0.6076179818518817, "alpha_spy_p3m": 0.5711674342923014, "alpha_c_p3m": null, "bench_spy_p3m": 0.036450547559580215, "bench_c_p3m": null, "ret_p6m": 0.6477217560095101, "ret_signed_p6m": 0.6477217560095101, "alpha_spy_p6m": 0.47191679422896704, "alpha_c_p6m": null, "bench_spy_p6m": 0.17580496178054306, "bench_c_p6m": null, "price_path": [-0.1267, -0.1354, -0.1417, -0.1267, -0.1225, -0.103, -0.1157, -0.1209, -0.1131, -0.1029, -0.0975, -0.0712, -0.0555, -0.0761, -0.1005, -0.0412, -0.0849, -0.0737, -0.0514, -0.0935, -0.0525, -0.0561, -0.0452, -0.057, -0.0424, -0.0417, -0.0454, -0.0207, 0.0626, 0.1158, 0.1073, 0.0958, 0.1179, 0.044, 0.0492, 0.0856, 0.089, 0.0613, 0.0789, 0.0699, 0.1049, 0.1104, 0.1137, 0.1039, 0.0763, 0.0996, 0.079, 0.0656, 0.118, 0.138, 0.0846, 0.1183, 0.1178, 0.1889, 0.1679, 0.1802, 0.1737, 0.0847, 0.0761, 0.0923, 0.0819, 0.0444, 0.0534, 0.0, 0.0086, 0.0144, 0.0108, 0.0585, 0.0957, 0.0872, 0.0778, 0.0903, 0.0931, 0.0798, 0.0905, 0.1218, 0.1467, 0.1934, 0.2645, 0.2591, 0.3118, 0.3147, 0.3203, 0.3106, 0.3234, 0.3121, 0.2986, 0.2841, 0.3801, 0.4449, 0.5821, 0.549, 0.5805, 0.7296, 0.6149, 0.6733, 0.694, 0.7288, 0.8256, 0.8093, 0.8499, 0.8072, 0.7567, 0.7098, 0.5671, 0.719, 0.6577, 0.6144, 0.7708, 0.7715, 0.758, 0.7907, 0.7691, 0.7643, 0.6566, 0.6701, 0.7341, 0.7171, 0.8131, 0.75, 0.7867, 0.7734, 0.7008, 0.6054, 0.6152, 0.551, 0.6076, 0.616, 0.6918, 0.6809, 0.627, 0.6321, 0.6138, 0.6159, 0.5348, 0.4745, 0.4965, 0.5919, 0.5987, 0.5778, 0.5488, 0.5959, 0.5388, 0.5921, 0.558, 0.6773, 0.6511, 0.6972, 0.8085, 0.7753, 0.7496, 0.7194, 0.7345, 0.7565, 0.7287, 0.7105, 0.7304, 0.7083, 0.7416, 0.7862, 0.7992, 0.791, 0.7552, 0.7595, 0.7043, 0.7273, 0.6897, 0.6709, 0.683, 0.6488, 0.6443, 0.6409, 0.6224, 0.5257, 0.5644, 0.5392, 0.5593, 0.5268, 0.5909, 0.5701, 0.5231, 0.4422, 0.4342, 0.4353, 0.4683, 0.4616, 0.4515, 0.4655, 0.642, 0.6477]}
{"unit_id": "quote:1639382529021968384", "ticker_idx": 0, "ts": "2023-03-24T21:43:47+00:00", "symbol": "AAPL", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "plugins disintermediating Apple's App Store and its 15-30% take rate", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bearish AAPL and GOOG: ChatGPT plugins disintermediate App Store take rate and displace Google search.", "resolved_tickers": ["AAPL"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLK", "bench_c_reason": "industry='Consumer Electronics'", "bench_c_industry": "Consumer Electronics", "unit_kind": "quote", "lang": "en", "tweet_text": "In @ARKInvest's view, AI is turbocharging disruptive innovation, with plugins disintermediating Apple's App Store and its 15-30% take rate, as ChatGPT displaces Google search! $AAPL and $GOOG rank #2 and #3 in the $QQQ and account for ~20% of the Nasdaq 100 Index.", "reply_text": null, "parent_text": null, "quoted_text": "Plugins for processing a video clip, no ffmpeg wizardry required. Actual use-case from today's launch. https://t.co/Q3r2Z8fRS5", "parent_author": null, "ret_m1d": -0.00823716029231214, "ret_signed_m1d": 0.00823716029231214, "alpha_spy_m1d": 0.0017180317831109182, "alpha_c_m1d": 0.005633819387958594, "bench_spy_m1d": -0.006519128509201222, "bench_c_m1d": -0.002603340904353546, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.012293280575698118, "ret_signed_p1d": 0.012293280575698118, "alpha_spy_p1d": 0.01416304352857245, "alpha_c_p1d": 0.00455156460988182, "bench_spy_p1d": 0.001869762952874332, "bench_c_p1d": -0.007741715965816298, "ret_p1w": 0.029017053863026554, "ret_signed_p1w": -0.029017053863026554, "alpha_spy_p1w": 0.005449233108124174, "alpha_c_p1w": 0.00558148763849875, "bench_spy_p1w": 0.03446628697115073, "bench_c_p1w": 0.034598541501525304, "ret_p1m": 0.03170060415897602, "ret_signed_p1m": -0.03170060415897602, "alpha_spy_p1m": 0.010952556856678841, "alpha_c_p1m": -0.023821634322915397, "bench_spy_p1m": 0.04265316101565486, "bench_c_p1m": 0.007878969836060623, "ret_p3m": 0.14954418803241953, "ret_signed_p3m": -0.14954418803241953, "alpha_spy_p3m": -0.046434369889764904, "alpha_c_p3m": 0.011556314779950672, "bench_spy_p3m": 0.10310981814265463, "bench_c_p3m": 0.1611005028123702, "ret_p6m": 0.11361516718842246, "ret_signed_p6m": -0.11361516718842246, "alpha_spy_p6m": 0.015502971090857187, "alpha_c_p6m": 0.0515480928748957, "bench_spy_p6m": 0.12911813827927965, "bench_c_p6m": 0.16516326006331816, "price_path": [-0.1898, -0.2147, -0.1924, -0.1904, -0.1904, -0.2207, -0.2127, -0.221, -0.1924, -0.1891, -0.1855, -0.1683, -0.1688, -0.1603, -0.1603, -0.153, -0.1575, -0.1572, -0.141, -0.1208, -0.1119, -0.1161, -0.103, -0.0907, -0.109, -0.101, -0.0939, -0.0603, -0.0374, -0.0546, -0.0364, -0.0534, -0.06, -0.0577, -0.0399, -0.044, -0.0307, -0.0408, -0.048, -0.048, -0.0734, -0.0708, -0.0677, -0.0845, -0.0769, -0.0801, -0.0932, -0.0895, -0.0575, -0.0401, -0.054, -0.0461, -0.0603, -0.0733, -0.061, -0.0478, -0.0453, -0.0275, -0.0328, -0.0178, -0.0061, -0.0151, -0.0082, 0.0, -0.0123, -0.0162, 0.0032, 0.0132, 0.029, 0.0369, 0.0336, 0.0219, 0.0275, 0.0275, 0.0111, 0.0034, -0.0009, 0.0331, 0.031, 0.0311, 0.0388, 0.0461, 0.0399, 0.0298, 0.0317, 0.022, 0.0219, 0.0509, 0.0588, 0.0583, 0.0517, 0.0449, 0.0346, 0.0831, 0.0827, 0.0719, 0.0831, 0.0842, 0.0784, 0.0752, 0.0752, 0.0791, 0.0939, 0.0946, 0.0886, 0.0721, 0.0738, 0.081, 0.0962, 0.0962, 0.1079, 0.1076, 0.1254, 0.1307, 0.1222, 0.1199, 0.1112, 0.1284, 0.1308, 0.1485, 0.1455, 0.1495, 0.1624, 0.1555, 0.1555, 0.1561, 0.1495, 0.1685, 0.1665, 0.1577, 0.1752, 0.1826, 0.1847, 0.2121, 0.2027, 0.2027, 0.1956, 0.1986, 0.1915, 0.1786, 0.1753, 0.1859, 0.1907, 0.1916, 0.2122, 0.2106, 0.2192, 0.2068, 0.1994, 0.2045, 0.2099, 0.2154, 0.2074, 0.2237, 0.2276, 0.2223, 0.2034, 0.1946, 0.1372, 0.1176, 0.1235, 0.1135, 0.1121, 0.1125, 0.1229, 0.1104, 0.1049, 0.0888, 0.0918, 0.1003, 0.109, 0.1333, 0.1037, 0.1176, 0.1275, 0.1521, 0.1742, 0.1756, 0.1855, 0.1855, 0.187, 0.1445, 0.111, 0.1149, 0.1223, 0.1032, 0.0901, 0.0997, 0.0951, 0.1136]}
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{"unit_id": "quote:951501288956743680", "ticker_idx": 0, "ts": "2018-01-11T17:09:19+00:00", "symbol": "BIDU", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$BIDU should be one of the biggest beneficiaries of #autonomous taxi networks in China, thanks to its partnerships and its expertise in #artificalintelligence", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Long BIDU as one of the biggest beneficiaries of autonomous taxi networks in China via AI expertise and partnerships.", "resolved_tickers": ["BIDU"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLC", "bench_c_reason": "industry='Internet Content & Information'", "bench_c_industry": "Internet Content & Information", "unit_kind": "quote", "lang": "en", "tweet_text": "@ARKInvest agrees. $BIDU should be one of the biggest beneficiaries of #autonomous taxi networks in China, thanks to its partnerships and its expertise in #artificalintelligence. https://t.co/I6vOOsXsJV", "reply_text": null, "parent_text": null, "quoted_text": "Baidu thinks autonomous-car maps could be bigger business than search in China. https://t.co/hYx0eaH20d", "parent_author": null, "ret_m1d": -0.00507555058054987, "ret_signed_m1d": -0.00507555058054987, "alpha_spy_m1d": 0.0021684845236807915, "alpha_c_m1d": null, "bench_spy_m1d": -0.007244035104230662, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.011270050562194545, "ret_signed_p1d": 0.011270050562194545, "alpha_spy_p1d": 0.004751561659704917, "alpha_c_p1d": null, "bench_spy_p1d": 0.0065184889024896275, "bench_c_p1d": null, "ret_p1w": 0.01894335173063655, "ret_signed_p1w": 0.01894335173063655, "alpha_spy_p1w": 0.008006477326664596, "alpha_c_p1w": null, "bench_spy_p1w": 0.010936874403971952, "bench_c_p1w": null, "ret_p1m": -0.13807850245066322, "ret_signed_p1m": -0.13807850245066322, "alpha_spy_p1m": -0.08513014224095805, "alpha_c_p1m": null, "bench_spy_p1m": -0.05294836020970517, "bench_c_p1m": null, "ret_p3m": -0.07481416804962526, "ret_signed_p3m": -0.07481416804962526, "alpha_spy_p3m": -0.03893058418540607, "alpha_c_p3m": null, "bench_spy_p3m": -0.03588358386421919, "bench_c_p3m": null, "ret_p6m": 0.006194560963136864, "ret_signed_p6m": 0.006194560963136864, "alpha_spy_p6m": 0.00023806271933413115, "alpha_c_p6m": null, "bench_spy_p6m": 0.0059564982438027325, "bench_c_p6m": null, "price_path": [0.0903, 0.0803, 0.0749, 0.0571, 0.0587, 0.0636, 0.0551, 0.0512, 0.0416, -0.0434, -0.0552, -0.0251, -0.0191, -0.0325, -0.0347, -0.0227, -0.027, -0.0361, -0.0406, -0.0512, -0.0514, -0.0611, -0.064, -0.0436, -0.0438, -0.0467, -0.0237, -0.0023, -0.0023, -0.0032, -0.0128, -0.0247, -0.0589, -0.0465, -0.0605, -0.0822, -0.0738, -0.0762, -0.0688, -0.0625, -0.0667, -0.0699, -0.0679, -0.0735, -0.0669, -0.0371, -0.0583, -0.0673, -0.0429, -0.0446, -0.0446, -0.0495, -0.05, -0.0619, -0.064, -0.064, -0.0313, -0.0187, -0.0179, -0.0203, 0.0024, 0.018, -0.0051, 0.0, 0.0113, 0.0113, 0.0302, 0.0211, 0.0189, 0.023, 0.0165, 0.0285, 0.0309, 0.0157, 0.0401, 0.014, -0.0246, -0.0132, -0.0387, -0.0681, -0.0995, -0.0857, -0.1108, -0.1525, -0.1381, -0.1142, -0.0984, -0.0573, -0.0081, -0.022, -0.022, -0.0191, -0.0132, -0.0035, 0.0021, 0.0241, 0.001, 0.0085, -0.0019, 0.0015, 0.0187, 0.034, 0.0281, 0.0277, 0.0533, 0.0617, 0.0325, 0.0365, 0.0499, 0.0486, 0.0104, 0.0169, -0.0007, -0.0564, -0.0805, -0.0571, -0.077, -0.1084, -0.108, -0.108, -0.1205, -0.1207, -0.1036, -0.0985, -0.1215, -0.1035, -0.0748, -0.0822, -0.0755, -0.0881, -0.0812, -0.0581, -0.0498, -0.0524, -0.0708, -0.0751, -0.0752, -0.0752, -0.0461, 0.0068, 0.0027, 0.0076, -0.0017, 0.009, 0.006, 0.0147, 0.0514, 0.0442, 0.0738, 0.0787, 0.0881, 0.0867, 0.1353, 0.1177, 0.0112, -0.0388, -0.041, -0.0393, -0.0397, -0.0257, -0.0257, -0.0327, -0.0343, -0.0306, -0.007, 0.0427, 0.039, 0.0548, 0.0586, 0.0534, 0.0782, 0.0687, 0.0791, 0.0816, 0.0909, 0.0746, 0.0475, 0.0553, 0.0411, 0.0351, 0.0008, 0.0022, -0.0289, -0.032, -0.0289, -0.0159, -0.0151, -0.0151, -0.0246, 0.0062]}
{"unit_id": "quote:1001564664873078784", "ticker_idx": 0, "ts": "2018-05-29T20:43:18+00:00", "symbol": "AMZN", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$AMZN has called out advertising as a primary focus. With a powerful search engine at the point-of-sale, #Amazon will take share in this highly profitable space.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Long AMZN: advertising revenue will take share from Google/Meta in highly profitable ad market, driven by point-of-sale search advantage.", "resolved_tickers": ["AMZN"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Internet Retail'", "bench_c_industry": "Internet Retail", "unit_kind": "quote", "lang": "en", "tweet_text": "$AMZN has called out advertising as a primary focus. At only $2.8 billion in 2017 Amazon's advertising revenue was a fraction of $GOOG's $95 billion and $FB's $$) billion. With a powerful search engine at the point-of-sale, #Amazon will take share in this highly profitable space. https://t.co/PLXT7IKqxq", "reply_text": null, "parent_text": null, "quoted_text": "Amazon has 2x the number of ads as Google for many products. \n# of ads:\nVacuum cleaner: Google 5, Amazon 10\nMen's socks: Google 5, Amazon 11\nDining chair: Google 6, Amazon 9", "parent_author": null, "ret_m1d": -0.001686454391891079, "ret_signed_m1d": -0.001686454391891079, "alpha_spy_m1d": -0.013321246353769745, "alpha_c_m1d": -0.009473222118128177, "bench_spy_m1d": 0.011634791961878665, "bench_c_m1d": 0.007786767726237098, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.00745252767120097, "ret_signed_p1d": 0.00745252767120097, "alpha_spy_p1d": -0.005891966189449871, "alpha_c_p1d": -0.0016635871196384322, "bench_spy_p1d": 0.013344493860650841, "bench_c_p1d": 0.009116114790839402, "ret_p1w": 0.05175861545367799, "ret_signed_p1w": 0.05175861545367799, "alpha_spy_p1w": 0.02915822670943058, "alpha_c_p1w": 0.02279620915407432, "bench_spy_p1w": 0.022600388744247413, "bench_c_p1w": 0.02896240629960367, "ret_p1m": 0.029537360319504824, "ret_signed_p1m": 0.029537360319504824, "alpha_spy_p1m": 0.023814862197083286, "alpha_c_p1m": -0.001175326882863148, "bench_spy_p1m": 0.005722498122421538, "bench_c_p1m": 0.030712687202367972, "ret_p3m": 0.181366126448129, "ret_signed_p3m": 0.181366126448129, "alpha_spy_p3m": 0.10783623612591975, "alpha_c_p3m": 0.08753087962395867, "bench_spy_p3m": 0.07352989032220925, "bench_c_p3m": 0.09383524682417033, "ret_p6m": -0.059608017138902625, "ret_signed_p6m": -0.059608017138902625, "alpha_spy_p6m": -0.05364219281990312, "alpha_c_p6m": -0.03820748432095977, "bench_spy_p6m": -0.005965824318999502, "bench_c_p6m": -0.021400532817942852, "price_path": [-0.074, -0.0698, -0.0553, -0.0466, -0.0421, -0.0378, -0.0211, -0.009, -0.0153, -0.0136, -0.0189, -0.0255, -0.0421, -0.0163, -0.0192, -0.0421, -0.0727, -0.0353, -0.0718, -0.1125, -0.1026, -0.1026, -0.1493, -0.1369, -0.1254, -0.0999, -0.1287, -0.1282, -0.1095, -0.1152, -0.1019, -0.1129, -0.1063, -0.0676, -0.0527, -0.0347, -0.0529, -0.0589, -0.0947, -0.0947, -0.0588, -0.025, -0.029, -0.019, -0.0268, -0.0253, -0.0198, -0.0079, -0.0127, -0.003, -0.0023, -0.0062, -0.007, -0.0228, -0.0159, -0.0193, -0.0239, -0.017, -0.0195, -0.0068, -0.0061, -0.0017, -0.0017, 0.0, 0.0075, 0.0104, 0.0178, 0.0325, 0.0518, 0.0514, 0.0474, 0.0441, 0.0473, 0.0532, 0.057, 0.0688, 0.0639, 0.0688, 0.0756, 0.0851, 0.0728, 0.0637, 0.0312, 0.0485, 0.0295, 0.0549, 0.0539, 0.0626, 0.0503, 0.0503, 0.0539, 0.0606, 0.0782, 0.0807, 0.0881, 0.1139, 0.1241, 0.13, 0.1433, 0.1426, 0.1241, 0.1245, 0.1173, 0.1342, 0.1555, 0.121, 0.1267, 0.1031, 0.102, 0.1143, 0.1373, 0.1305, 0.1456, 0.1548, 0.1697, 0.1771, 0.1695, 0.1757, 0.1902, 0.1672, 0.1697, 0.167, 0.1636, 0.1677, 0.1811, 0.1798, 0.1814, 0.1952, 0.1984, 0.2388, 0.2415, 0.2479, 0.2479, 0.2645, 0.2368, 0.2142, 0.2103, 0.2022, 0.2321, 0.2338, 0.2337, 0.2215, 0.183, 0.2035, 0.1944, 0.2055, 0.1873, 0.1993, 0.2242, 0.2244, 0.2481, 0.2419, 0.2427, 0.2222, 0.2107, 0.1839, 0.1716, 0.156, 0.1596, 0.0883, 0.066, 0.109, 0.0918, 0.1284, 0.1357, 0.0979, 0.0937, 0.1094, 0.0966, 0.0318, 0.105, 0.0186, -0.0459, -0.0511, -0.0092, 0.0326, 0.0326, 0.0093, 0.0186, 0.0884, 0.0881, 0.0617, 0.0149, 0.0113, -0.0086, 0.0041, -0.0121, -0.0624, -0.0728, -0.0596]}
{"unit_id": "quote:1001564664873078784", "ticker_idx": 1, "ts": "2018-05-29T20:43:18+00:00", "symbol": "GOOG", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Amazon's advertising revenue was a fraction of $GOOG's $95 billion", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Long AMZN: advertising revenue will take share from Google/Meta in highly profitable ad market, driven by point-of-sale search advantage.", "resolved_tickers": ["GOOG"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLC", "bench_c_reason": "industry='Internet Content & Information'", "bench_c_industry": "Internet Content & Information", "unit_kind": "quote", "lang": "en", "tweet_text": "$AMZN has called out advertising as a primary focus. At only $2.8 billion in 2017 Amazon's advertising revenue was a fraction of $GOOG's $95 billion and $FB's $$) billion. With a powerful search engine at the point-of-sale, #Amazon will take share in this highly profitable space. https://t.co/PLXT7IKqxq", "reply_text": null, "parent_text": null, "quoted_text": "Amazon has 2x the number of ads as Google for many products. \n# of ads:\nVacuum cleaner: Google 5, Amazon 10\nMen's socks: Google 5, Amazon 11\nDining chair: Google 6, Amazon 9", "parent_author": null, "ret_m1d": 0.014467318913676142, "ret_signed_m1d": -0.014467318913676142, "alpha_spy_m1d": -0.002832526951797476, "alpha_c_m1d": null, "bench_spy_m1d": 0.011634791961878665, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.007054438431719934, "ret_signed_p1d": -0.007054438431719934, "alpha_spy_p1d": 0.006290055428930907, "alpha_c_p1d": null, "bench_spy_p1d": 0.013344493860650841, "bench_c_p1d": null, "ret_p1w": 0.07482646464492593, "ret_signed_p1w": -0.07482646464492593, "alpha_spy_p1w": -0.052226075900678515, "alpha_c_p1w": null, "bench_spy_p1w": 0.022600388744247413, "bench_c_p1w": null, "ret_p1m": 0.04117629349446905, "ret_signed_p1m": -0.04117629349446905, "alpha_spy_p1m": -0.035453795372047514, "alpha_c_p1m": null, "bench_spy_p1m": 0.005722498122421538, "bench_c_p1m": null, "ret_p3m": 0.15120907995158395, "ret_signed_p3m": -0.15120907995158395, "alpha_spy_p3m": -0.0776791896293747, "alpha_c_p3m": null, "bench_spy_p3m": 0.07352989032220925, "bench_c_p3m": null, "ret_p6m": -0.021418018804242878, "ret_signed_p6m": 0.021418018804242878, "alpha_spy_p6m": 0.015452194485243376, "alpha_c_p6m": null, "bench_spy_p6m": -0.005965824318999502, "bench_c_p6m": null, "price_path": [0.0087, 0.0175, 0.0289, 0.0328, 0.0465, 0.0619, 0.094, 0.0983, 0.0734, 0.0841, 0.0842, 0.0711, 0.0373, 0.0353, 0.0288, -0.0106, -0.0365, -0.0067, -0.0521, -0.0526, -0.0269, -0.0269, -0.0508, -0.0442, -0.0332, -0.0307, -0.0502, -0.0423, -0.027, -0.0381, -0.0262, -0.0293, -0.0211, 0.0131, 0.0111, 0.0258, 0.0119, 0.0067, -0.038, -0.0369, -0.0191, -0.0285, -0.0405, -0.0217, -0.0339, -0.0345, -0.0114, -0.0052, -0.006, 0.0212, 0.0351, 0.0358, 0.0376, 0.0178, 0.0202, 0.0172, 0.0057, 0.0182, 0.0089, 0.0183, 0.0178, 0.0145, 0.0145, 0.0, 0.0071, 0.0233, 0.0558, 0.0745, 0.0748, 0.0722, 0.0599, 0.0571, 0.0657, 0.0745, 0.0702, 0.0866, 0.0867, 0.1067, 0.1016, 0.1033, 0.0918, 0.0897, 0.0608, 0.0548, 0.0412, 0.0508, 0.0522, 0.0633, 0.0401, 0.0401, 0.0603, 0.0753, 0.0884, 0.0873, 0.0883, 0.1162, 0.1212, 0.1165, 0.1306, 0.1278, 0.1194, 0.1175, 0.1369, 0.1771, 0.1918, 0.1962, 0.168, 0.1504, 0.148, 0.1506, 0.1564, 0.1541, 0.1551, 0.1716, 0.1747, 0.178, 0.1672, 0.1648, 0.1714, 0.1453, 0.1379, 0.1326, 0.1391, 0.1333, 0.1386, 0.1368, 0.1512, 0.1712, 0.1611, 0.1782, 0.1686, 0.1489, 0.1489, 0.1289, 0.119, 0.1048, 0.0986, 0.0984, 0.1104, 0.0967, 0.1085, 0.1058, 0.0903, 0.0952, 0.1045, 0.1194, 0.0998, 0.1066, 0.1173, 0.1133, 0.1267, 0.1256, 0.1273, 0.1318, 0.1345, 0.1017, 0.0915, 0.0836, 0.074, 0.0197, 0.0179, 0.0469, 0.0301, 0.0575, 0.0522, 0.0261, 0.0341, 0.0385, 0.0409, -0.0091, 0.0332, 0.0105, -0.038, -0.0227, 0.0155, 0.0091, -0.0024, -0.0191, -0.0043, 0.0312, 0.0208, 0.0055, -0.0205, -0.0229, -0.0157, 0.0041, 0.0011, -0.038, -0.0326, -0.0214]}
{"unit_id": "quote:1481044659661115393", "ticker_idx": 0, "ts": "2022-01-11T23:25:37+00:00", "symbol": "US auto", "kind": "sector", "geography": "US", "sub_sector": null, "direction": "short", "conviction": "high", "explicit": false, "explicit_audit": "kept_implicit_alias_present", "polarity_reversed": false, "quote": "gas-powered car sales are likely to struggle, especially now that used car inventories, as measured by Manheim, are roughly 40% above normal at wholesale and retail", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bearish US gas-powered auto sales: consumer preference shifting to EVs and used-car inventory glut will pressure traditional auto.", "resolved_tickers": ["CARZ"], "resolution_method": "etf", "resolution_reason": "US auto sector; CARZ is global auto ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "In our view, China is a leading indicator of a change in the consumer preference for EVs. In the US, gas-powered car sales are likely to struggle, especially now that used car inventories, as measured by Manheim, are roughly 40% above normal at wholesale and retail.", "reply_text": null, "parent_text": null, "quoted_text": "China passenger auto sales were up 4.4% to 20.1 million units in 2021, but that headline is a bit deceiving.\n\nGas powered car sales were actually down roughly 4% while, battery electric vehicle sales were up ~145%. https://t.co/i3JmqhHxab", "parent_author": null, "ret_m1d": -0.016724515177763855, "ret_signed_m1d": 0.016724515177763855, "alpha_spy_m1d": 0.0076983439227854555, "alpha_c_m1d": 0.0076983439227854555, "bench_spy_m1d": -0.009026171254978399, "bench_c_m1d": -0.009026171254978399, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.009782245465963957, "ret_signed_p1d": -0.009782245465963957, "alpha_spy_p1d": -0.007078718960564556, "alpha_c_p1d": -0.007078718960564556, "bench_spy_p1d": 0.0027035265053994006, "bench_c_p1d": 0.0027035265053994006, "ret_p1w": -0.012148923954920399, "ret_signed_p1w": 0.012148923954920399, "alpha_spy_p1w": -0.016078986283895147, "alpha_c_p1w": -0.016078986283895147, "bench_spy_p1w": -0.028227910238815546, "bench_c_p1w": -0.028227910238815546, "ret_p1m": -0.0340801574301105, "ret_signed_p1m": 0.0340801574301105, "alpha_spy_p1m": 0.008087406685378773, "alpha_c_p1m": 0.008087406685378773, "bench_spy_p1m": -0.02599275074473173, "bench_c_p1m": -0.02599275074473173, "ret_p3m": -0.14291783888715126, "ret_signed_p3m": 0.14291783888715126, "alpha_spy_p3m": 0.09866097845707722, "alpha_c_p3m": 0.09866097845707722, "bench_spy_p3m": -0.04425686043007404, "bench_c_p3m": -0.04425686043007404, "ret_p6m": -0.296639973742859, "ret_signed_p6m": 0.296639973742859, "alpha_spy_p6m": 0.1185691913048107, "alpha_c_p6m": 0.1185691913048107, "bench_spy_p6m": -0.1780707824380483, "bench_c_p6m": -0.1780707824380483, "price_path": [-0.0515, -0.0389, -0.0381, -0.04, -0.0335, -0.0389, -0.0274, -0.0146, -0.013, -0.0197, -0.007, -0.0124, 0.006, 0.0042, 0.0132, 0.0343, 0.0276, 0.0265, 0.009, -0.0093, 0.0057, 0.0161, 0.0119, 0.0215, 0.0267, 0.0129, 0.0191, 0.0282, 0.0169, 0.014, 0.014, -0.0326, -0.0237, -0.0437, -0.0437, -0.0333, -0.0529, -0.045, -0.016, -0.0175, -0.0304, -0.0161, -0.0473, -0.0521, -0.0445, -0.046, -0.056, -0.0896, -0.0783, -0.0645, -0.0423, -0.0423, -0.0461, -0.0536, -0.0554, -0.0559, -0.0562, -0.0338, 0.0092, -0.0095, -0.0019, -0.0036, -0.0167, 0.0, 0.0098, 0.0177, 0.0191, 0.0191, -0.0121, -0.0219, -0.0469, -0.0603, -0.0822, -0.0838, -0.0893, -0.1142, -0.1052, -0.0655, -0.0574, -0.0453, -0.0716, -0.0667, -0.0727, -0.0596, -0.0341, -0.054, -0.0779, -0.0902, -0.0513, -0.0481, -0.0737, -0.0846, -0.0846, -0.1056, -0.1223, -0.1108, -0.0937, -0.0969, -0.1204, -0.1067, -0.1254, -0.1463, -0.1751, -0.1704, -0.1469, -0.1636, -0.1945, -0.2091, -0.1832, -0.1373, -0.1313, -0.1111, -0.1185, -0.1011, -0.1125, -0.0858, -0.0932, -0.0857, -0.0598, -0.0736, -0.0842, -0.0876, -0.0726, -0.1004, -0.1285, -0.1308, -0.1429, -0.1636, -0.1672, -0.1478, -0.1644, -0.1644, -0.1658, -0.1461, -0.16, -0.171, -0.1884, -0.1786, -0.2165, -0.2162, -0.1848, -0.2077, -0.1905, -0.1854, -0.1574, -0.1996, -0.205, -0.2464, -0.2405, -0.257, -0.2612, -0.2236, -0.2303, -0.2017, -0.2312, -0.2232, -0.2292, -0.2197, -0.2393, -0.2232, -0.2069, -0.1834, -0.1834, -0.1815, -0.1853, -0.1633, -0.1826, -0.1845, -0.1739, -0.1913, -0.2059, -0.2274, -0.2732, -0.2596, -0.2516, -0.2863, -0.2772, -0.2772, -0.2576, -0.2655, -0.2682, -0.2439, -0.2454, -0.2573, -0.2744, -0.2833, -0.2947, -0.2947, -0.2922, -0.2966]}
{"unit_id": "quote:886700743360737282", "ticker_idx": 0, "ts": "2017-07-16T21:35:05+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "#bitcoin has been behaving like it's antifragile for the past two years", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish BTC: claims it has demonstrated antifragile properties over the past two years.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "#bitcoin has been behaving like it's antifragile for the past two years. https://t.co/DGy5gdGhu4", "reply_text": null, "parent_text": null, "quoted_text": "#antifragile systems grow from stress. the question then becomes, do you believe #bitcoin is antifragile? https://t.co/4OJXUwB41M", "parent_author": null, "ret_m1d": 0.002212418709169661, "ret_signed_m1d": 0.002212418709169661, "alpha_spy_m1d": 0.0020904604271752003, "alpha_c_m1d": null, "bench_spy_m1d": 0.0001219582819944609, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.0405984420601897, "ret_signed_p1d": 0.0405984420601897, "alpha_spy_p1d": 0.04006910032395461, "alpha_c_p1d": null, "bench_spy_p1d": 0.0005293417362350894, "bench_c_p1d": null, "ret_p1w": 0.23624477366202834, "ret_signed_p1w": 0.23624477366202834, "alpha_spy_p1w": 0.23099079660958455, "alpha_c_p1w": null, "bench_spy_p1w": 0.005253977052443792, "bench_c_p1w": null, "ret_p1m": 0.8766431404995438, "ret_signed_p1m": 0.8766431404995438, "alpha_spy_p1m": 0.8726519665704873, "alpha_c_p1m": null, "bench_spy_p1m": 0.003991173929056568, "bench_c_p1m": null, "ret_p3m": 1.4443035038800591, "ret_signed_p3m": 1.4443035038800591, "alpha_spy_p3m": 1.402053018400512, "alpha_c_p3m": null, "bench_spy_p3m": 0.04225048547954713, "bench_c_p3m": null, "ret_p6m": 5.5496928151828415, "ret_signed_p6m": 5.5496928151828415, "alpha_spy_p6m": 5.420247507124779, "alpha_c_p6m": null, "bench_spy_p6m": 0.12944530805806176, "bench_c_p6m": null, "price_path": [-0.4569, -0.4484, -0.4516, -0.439, -0.4321, -0.4251, -0.4087, -0.4092, -0.3621, -0.348, -0.3313, -0.31, -0.302, -0.2266, -0.2123, -0.198, -0.1705, -0.2262, -0.2199, -0.2217, -0.1747, -0.1525, -0.108, -0.0247, 0.0413, 0.0966, 0.0344, -0.0117, 0.0122, -0.0238, 0.026, 0.0805, 0.1167, 0.2057, 0.2849, 0.2261, 0.259, 0.2672, 0.1935, 0.2193, 0.1247, 0.106, 0.1302, 0.1621, 0.2214, 0.2067, 0.2141, 0.2318, 0.1122, 0.1454, 0.1554, 0.1395, 0.1133, 0.1506, 0.1675, 0.1676, 0.1706, 0.1302, 0.0647, 0.0491, 0.0765, 0.0581, 0.0022, 0.0, 0.0406, 0.0202, 0.2644, 0.1972, 0.2362, 0.1562, 0.1351, 0.199, 0.2605, 0.2903, 0.2198, 0.2164, 0.2586, 0.2995, 0.5163, 0.5347, 0.4999, 0.5174, 0.6382, 0.9409, 0.8766, 0.964, 0.9438, 0.8671, 0.7958, 0.8401, 0.863, 0.9452, 0.9618, 0.9667, 1.0548, 1.0487, 1.1106, 1.1953, 0.901, 0.964, 1.063, 1.0642, 0.8977, 0.8674, 0.8537, 0.7423, 0.4158, 0.6323, 0.8243, 0.7613, 0.7528, 0.6294, 0.6293, 0.7618, 0.7467, 0.8851, 0.8734, 0.8682, 0.9787, 0.9375, 0.8979, 0.9424, 0.9614, 1.1414, 1.1459, 1.1659, 1.4443, 1.5342, 1.5694, 1.5155, 1.5088, 1.5617, 1.6976, 1.6612, 1.4801, 1.5807, 1.6498, 1.5942, 1.7511, 1.9027, 2.0368, 2.1765, 2.2345, 2.1515, 2.206, 2.3475, 2.2057, 1.9699, 1.9436, 1.9778, 2.2829, 2.5324, 2.4594, 2.68, 2.622, 2.7038, 2.6074, 2.7038, 3.406, 3.5139, 3.4375, 3.5923, 3.9253, 4.2312, 4.3476, 5.4133, 7.0325, 6.4355, 6.6004, 6.8152, 6.3632, 6.4331, 6.946, 7.5775, 6.9773, 6.4603, 6.0916, 5.207, 5.2944, 6.2248, 6.1075, 5.5547, 5.577, 5.1287, 5.7232, 5.8215, 6.0001, 6.8215, 5.8076, 5.5497]}
{"unit_id": "quote:1173450864104747008", "ticker_idx": 0, "ts": "2019-09-16T04:17:42+00:00", "symbol": "euro", "kind": "fx", "geography": "Europe", "sub_sector": null, "direction": "short", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Are France and Germany getting concerned about the long term viability of the #euro? Based on the implosion of their bank stocks, perhaps they should be.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Implies doubt about euro's long-term viability, framing European bank stock implosion as a warning sign for the currency.", "resolved_tickers": ["EURUSD=X"], "resolution_method": "exchange_ticker", "resolution_reason": "EUR/USD fx pair in Yahoo Finance format", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "I expected emerging markets with vulnerable currencies to ban #crypto, but I did not expect the same from developed counties.  Are France and Germany getting concerned about the long term viability of the #euro? Based on the implosion of their bank stocks, perhaps they should be.", "reply_text": null, "parent_text": null, "quoted_text": "favorite moment of the week - france and germany issued a statement that they intend to block @facebook's Libra\n\nand i quote \"no private entity can claim monetary power, which is inherent to the sovereignty of nations”\n\n... and so it begins\n\nhttps://t.co/IYq5hWTEK4", "parent_author": null, "ret_m1d": -0.0022669700622709454, "ret_signed_m1d": 0.0022669700622709454, "alpha_spy_m1d": 0.005364892582983782, "alpha_c_m1d": null, "bench_spy_m1d": 0.003097922520712837, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.006988703977614419, "ret_signed_p1d": 0.006988703977614419, "alpha_spy_p1d": 0.009520325093446136, "alpha_c_p1d": null, "bench_spy_p1d": 0.002531621115831717, "bench_c_p1d": null, "ret_p1w": -0.005806979819804048, "ret_signed_p1w": 0.005806979819804048, "alpha_spy_p1w": 0.0038983801027975273, "alpha_c_p1w": null, "bench_spy_p1w": -0.0019085997170065205, "bench_c_p1w": null, "ret_p1m": -0.004907914357426879, "ret_signed_p1m": 0.004907914357426879, "alpha_spy_p1m": 0.0052418322623677405, "alpha_c_p1m": null, "bench_spy_p1m": 0.0003339179049408614, "bench_c_p1m": null, "ret_p3m": 0.004732704686627454, "ret_signed_p3m": -0.004732704686627454, "alpha_spy_p3m": 0.05668280622124522, "alpha_c_p3m": null, "bench_spy_p3m": 0.06141551090787267, "bench_c_p3m": null, "ret_p6m": 0.028380955085232085, "ret_signed_p6m": -0.028380955085232085, "alpha_spy_p6m": -0.05831035497871084, "alpha_c_p6m": null, "bench_spy_p6m": -0.02992939989347876, "bench_c_p6m": null, "price_path": [0.0104, 0.014, 0.0191, 0.0272, 0.0286, 0.0259, 0.0263, 0.0261, 0.0254, 0.0184, 0.0189, 0.0185, 0.0183, 0.013, 0.012, 0.0113, 0.0158, 0.0152, 0.017, 0.0161, 0.0116, 0.0132, 0.0161, 0.0122, 0.0111, 0.0061, 0.0053, 0.0057, 0.0044, 0.0054, 0.0067, -0.0011, -0.0004, 0.0022, 0.0145, 0.0112, 0.0109, 0.0094, 0.0113, 0.0122, 0.0084, 0.0054, 0.0027, 0.0009, -0.0, 0.0013, 0.0007, 0.0001, 0.0054, 0.0018, 0.0006, 0.0002, -0.0019, -0.0083, -0.0104, -0.0098, -0.0044, -0.0042, -0.0057, -0.0032, -0.003, -0.0063, -0.0023, 0.0, -0.007, -0.0008, -0.0047, -0.0031, -0.0058, -0.0081, -0.006, -0.0118, -0.0145, -0.0127, -0.0166, -0.0134, -0.0108, -0.0097, -0.0087, -0.01, -0.0111, -0.0086, -0.0065, -0.0048, -0.0049, -0.0044, -0.0008, 0.004, 0.0065, 0.0062, 0.0041, 0.0044, 0.0019, 0.0001, 0.0014, 0.0028, 0.0064, 0.0066, 0.0075, 0.0041, -0.0008, -0.0012, -0.0057, -0.0055, -0.0043, -0.0064, -0.0063, -0.0057, -0.0026, -0.001, -0.0003, -0.0004, -0.0016, -0.0055, -0.0062, -0.0055, -0.0071, -0.0065, -0.0058, -0.0004, 0.0002, -0.0, 0.002, -0.0022, -0.0017, 0.0008, 0.0047, 0.0093, 0.0037, 0.0048, 0.0061, 0.0029, 0.0038, -0.0003, 0.0009, 0.0006, 0.0011, 0.0016, 0.0089, 0.0107, 0.0124, 0.0124, 0.0079, 0.0071, 0.0103, 0.0064, 0.0027, 0.0025, 0.003, 0.0047, 0.0043, 0.0064, 0.0051, 0.001, 0.0012, 0.0002, 0.0012, -0.0025, -0.0052, -0.0057, -0.0055, -0.006, -0.0049, 0.0006, -0.0018, -0.0033, -0.0073, -0.0091, -0.0121, -0.0153, -0.0148, -0.0187, -0.0214, -0.0218, -0.022, -0.026, -0.0247, -0.0267, -0.022, -0.0211, -0.0182, -0.0178, -0.0078, -0.0029, 0.0055, 0.0088, 0.005, 0.0127, 0.0273, 0.0284]}
{"unit_id": "quote:1863742043362824674", "ticker_idx": 0, "ts": "2024-12-03T00:28:24+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "I stand by my original response supporting #Tesla and Elon", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Reaffirms bullish stance on Tesla; argues court ruling overstepping shareholder rights will be overturned.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "Based on her @TSLA ruling, DE Judge McCormick is an activist judge at its worst. No judge has the right to determine CEO compensation. Shareholders voted twice, overwhelmingly each time, to ratify @elonmusk’s 2018 performance-based pay package. She will lose this fight in Supreme Court. I stand by my original response supporting #Tesla and Elon:", "reply_text": null, "parent_text": null, "quoted_text": "I believe the Delaware court decision, forcing #Tesla to void the March 2018 vote on Elon Musk’s performance-based pay package, is un-American, an assault on investor rights, and an insult to the Board of Directors of one of the most stunningly successful companies in US history.", "parent_author": null, "ret_m1d": 0.016134490619505337, "ret_signed_m1d": 0.016134490619505337, "alpha_spy_m1d": 0.016598366718394764, "alpha_c_m1d": 0.015375699775195262, "bench_spy_m1d": -0.0004638760988894264, "bench_c_m1d": 0.0007587908443100755, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.018524782309774723, "ret_signed_p1d": 0.018524782309774723, "alpha_spy_p1d": 0.012315385614128038, "alpha_c_p1d": 0.009242006530952196, "bench_spy_p1d": 0.006209396695646685, "bench_c_p1d": 0.009282775778822527, "ret_p1w": 0.14105621453695072, "ret_signed_p1w": 0.14105621453695072, "alpha_spy_p1w": 0.1428944354584315, "alpha_c_p1w": 0.10370176322602997, "bench_spy_p1w": -0.001838220921480782, "bench_c_p1w": 0.037354451310920744, "ret_p1m": 0.14916618549653493, "ret_signed_p1m": 0.14916618549653493, "alpha_spy_p1m": 0.17542420636591838, "alpha_c_p1m": 0.14601896876396947, "bench_spy_p1m": -0.026258020869383447, "bench_c_p1m": 0.003147216732565461, "ret_p3m": -0.16629673953792556, "ret_signed_p3m": -0.16629673953792556, "alpha_spy_p3m": -0.1534963723052526, "alpha_c_p3m": -0.1319292514224768, "bench_spy_p3m": -0.012800367232672971, "bench_c_p3m": -0.03436748811544876, "ret_p6m": 0.015593820099482958, "ret_signed_p6m": 0.015593820099482958, "alpha_spy_p6m": 0.03617298520069212, "alpha_c_p6m": 0.052145693562628104, "bench_spy_p6m": -0.020579165101209163, "bench_c_p6m": -0.036551873463145146, "price_path": [-0.345, -0.4003, -0.3846, -0.3564, -0.3508, -0.3461, -0.3447, -0.3547, -0.3516, -0.3535, -0.3059, -0.322, -0.2886, -0.2764, -0.2686, -0.2766, -0.2588, -0.2555, -0.2658, -0.2914, -0.3152, -0.2884, -0.3147, -0.3043, -0.3141, -0.3206, -0.3802, -0.3764, -0.3752, -0.3702, -0.3714, -0.372, -0.3772, -0.3797, -0.392, -0.2588, -0.234, -0.253, -0.2615, -0.2671, -0.289, -0.2915, -0.309, -0.2845, -0.179, -0.1551, -0.0859, -0.004, -0.0652, -0.0603, -0.1145, -0.0874, -0.0361, -0.0154, -0.0267, -0.0335, 0.0032, -0.0365, -0.0375, -0.0527, -0.0527, -0.0178, 0.0161, 0.0, 0.0185, 0.0514, 0.1076, 0.1092, 0.1411, 0.2087, 0.1897, 0.2413, 0.3176, 0.3655, 0.2524, 0.2412, 0.1982, 0.2253, 0.3155, 0.3155, 0.2923, 0.2283, 0.1878, 0.1492, 0.1492, 0.0793, 0.1679, 0.1697, 0.1222, 0.1238, 0.1238, 0.1233, 0.1477, 0.1279, 0.2185, 0.1776, 0.2136, 0.2136, 0.2067, 0.1812, 0.1735, 0.157, 0.1301, 0.1328, 0.1072, 0.139, 0.1513, 0.0918, 0.1161, 0.0761, 0.0652, 0.029, -0.002, -0.0652, -0.0424, 0.0129, 0.0126, 0.0126, 0.0077, 0.026, 0.0085, -0.0388, -0.0594, -0.1384, -0.1725, -0.1977, -0.1663, -0.19, -0.2259, -0.2058, -0.2503, -0.2525, -0.3679, -0.3439, -0.294, -0.3151, -0.2887, -0.3227, -0.3589, -0.3288, -0.3277, -0.2923, -0.2078, -0.1801, -0.2258, -0.2228, -0.25, -0.2625, -0.2361, -0.1954, -0.2394, -0.3187, -0.3362, -0.3687, -0.2254, -0.2818, -0.282, -0.2819, -0.2769, -0.3126, -0.3132, -0.3132, -0.3526, -0.3228, -0.2865, -0.2615, -0.1891, -0.1865, -0.169, -0.1971, -0.2018, -0.1827, -0.2025, -0.2165, -0.214, -0.1895, -0.1513, -0.094, -0.0494, -0.0106, -0.0245, -0.0041, -0.0265, -0.0216, -0.0478, -0.0295, -0.0344, -0.0344, 0.0326, 0.0156]}
{"unit_id": "thread:1635875367092142082", "ticker_idx": 0, "ts": "2023-03-15T05:27:35+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Tesla is leading the 'charge' in three, but I wouldn't be surprised to see 4-5", "tweet_type": "analysis", "timeline": "years", "summary": "Bullish TSLA as a leading player across 3-4 of five major converging innovation platforms driving a potential Roaring Twenties-style expansion.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "self_thread", "lang": "en", "tweet_text": "The echo is more like the early 1920s, after a pandemic and a war - the Spanish Flu and WWI - as three major innovation platforms were evolving into mass market opportunities - electricity, telephony, and the automobile, contributing to the breathtaking “Roaring Twenties”\n\n---\n\nIn response to a supply chain- and war-related surge in inflation, the gold standard forced the newly formed Fed to drain money from the economy, pushing pricing from a 24% inflationary peak in June 1920 to a -15% deflationary trough one year later in June 1921.\n\n---\n\nNow, inflation - which peaked in the 8-10% range last year - is likely to surprise on the low side of expectations this year, dropping below 2% and perhaps turning negative. The banking crisis could lead to “bad deflation” while innovation generates “good deflation”.\n\n---\n\nToday, five major innovation platforms are evolving at the same time - multiomics sequencing, robotics, energy storage, artificial intelligence, and blockchain technology, all of which are converging! Tesla is leading the “charge” in three, but I wouldn’t be surprised to see 4-5.\n\n---\n\nOnce the Fed stops looking backwards at CPI inflation and starts addressing the deflationary banking crisis that a 19-fold increase in short rates and an inverted yield have caused, we would not be surprised to see a return to the Roaring Twenties.\n\n---\n\nInnovation solves problems. 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{"unit_id": "quote:955213126986813441", "ticker_idx": 0, "ts": "2018-01-21T22:58:51+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "The #Bitcoin ecosystem continues to evolve, with traditional financial heavyweights filling in the blanks for regulators. Taking \"two steps forward, one step back,\" regulators should be ready to take another two steps forward now", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish Bitcoin as ICE/NYSE involvement signals regulatory progress and continued ecosystem maturation.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "The #Bitcoin ecosystem continues to evolve, with traditional financial heavyweights filling in the blanks for regulators. Taking  “two steps forward, one step back,” regulators should be ready to take another two steps forward now that $ICE, which owns the #NYSE, is on board. https://t.co/apEG6KhRLY", "reply_text": null, "parent_text": null, "quoted_text": "\"ICE Joins the Rush into #Bitcoin... ICE said it would join with startup @blockstream to launch a datafeed [with] more than 15 exchanges.. the move could help draw more financial heavyweights into the risky, rapidly evolving world of bitcoin\" https://t.co/yFeosGPtN0 @aosipovich https://t.co/R6CHgLkSwH", "parent_author": null, "ret_m1d": 0.06184020124079903, "ret_signed_m1d": 0.06184020124079903, "alpha_spy_m1d": 0.06990550125567063, "alpha_c_m1d": null, "bench_spy_m1d": -0.008065300014871601, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.005763214020962026, "ret_signed_p1d": -0.005763214020962026, "alpha_spy_p1d": -0.007886261743387912, "alpha_c_p1d": null, "bench_spy_p1d": 0.002123047722425886, "bench_c_p1d": null, "ret_p1w": 0.03339004948652624, "ret_signed_p1w": 0.03339004948652624, "alpha_spy_p1w": 0.02635018293208624, "alpha_c_p1w": null, "bench_spy_p1w": 0.00703986655444, "bench_c_p1w": null, "ret_p1m": 0.043205791372581626, "ret_signed_p1m": 0.043205791372581626, "alpha_spy_p1m": 0.0831432387662997, "alpha_c_p1m": null, "bench_spy_p1m": -0.03993744739371807, "bench_c_p1m": null, "ret_p3m": -0.24123998079643338, "ret_signed_p3m": -0.24123998079643338, "alpha_spy_p3m": -0.19623301262007187, "alpha_c_p3m": null, "bench_spy_p3m": -0.04500696817636152, "bench_c_p3m": null, "ret_p6m": -0.3302742761722296, "ret_signed_p6m": -0.3302742761722296, "alpha_spy_p6m": -0.3308680353232313, "alpha_c_p6m": null, "bench_spy_p6m": 0.0005937591510016826, "bench_c_p6m": null, "price_path": [-0.4739, -0.4598, -0.4712, -0.4392, -0.4083, -0.3809, -0.3525, -0.3406, -0.3576, -0.3464, -0.3176, -0.3465, -0.3946, -0.3999, -0.393, -0.3308, -0.2799, -0.2948, -0.2498, -0.2616, -0.245, -0.2646, -0.245, -0.1018, -0.0798, -0.0954, -0.0638, 0.004, 0.0664, 0.0901, 0.3074, 0.6375, 0.5158, 0.5494, 0.5932, 0.501, 0.5153, 0.6198, 0.7486, 0.6262, 0.5208, 0.4456, 0.2653, 0.2831, 0.4728, 0.4489, 0.3362, 0.3407, 0.2494, 0.3706, 0.3906, 0.427, 0.5944, 0.3878, 0.3352, 0.3698, 0.2264, 0.2789, 0.2642, 0.0511, 0.0235, 0.0497, 0.0618, 0.0, -0.0058, 0.0392, 0.03, 0.022, 0.0334, -0.0755, -0.065, -0.1611, -0.1922, -0.3637, -0.2907, -0.3028, -0.2439, -0.2007, -0.1834, -0.2134, -0.1314, -0.07, -0.0638, 0.0269, 0.0432, -0.022, -0.0847, -0.0577, -0.0517, -0.0188, -0.0488, 0.0018, 0.0142, 0.0587, -0.0139, -0.0884, -0.1405, -0.1458, -0.1579, -0.1589, -0.2435, -0.2406, -0.2372, -0.2105, -0.1846, -0.1832, -0.2015, -0.1877, -0.249, -0.2834, -0.2723, -0.3445, -0.3697, -0.352, -0.3179, -0.373, -0.3769, -0.3929, -0.3806, -0.3748, -0.3625, -0.2783, -0.2777, -0.2628, -0.2771, -0.2532, -0.2412, -0.1908, -0.183, -0.1129, -0.1908, -0.1509, -0.1779, -0.1547, -0.1658, -0.1551, -0.1086, -0.1126, -0.1426, -0.1552, -0.1469, -0.1727, -0.2278, -0.2026, -0.2215, -0.2344, -0.2595, -0.2452, -0.2298, -0.2643, -0.3086, -0.3059, -0.3157, -0.3472, -0.3164, -0.3225, -0.3144, -0.3101, -0.3126, -0.3017, -0.2998, -0.2976, -0.3025, -0.3682, -0.3978, -0.4191, -0.3893, -0.4094, -0.3839, -0.3807, -0.3801, -0.3844, -0.4435, -0.4283, -0.4426, -0.4367, -0.46, -0.4312, -0.3949, -0.4027, -0.3965, -0.3927, -0.3895, -0.3833, -0.4209, -0.415, -0.4302, -0.4293, -0.3833, -0.3303]}
{"unit_id": "quote:915340978046820352", "ticker_idx": 0, "ts": "2017-10-03T22:21:10+00:00", "symbol": "GM", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$GM is validating that estimate, despite the fact that its Chevy #Bolt didn't sell", "tweet_type": "analysis", "timeline": "years", "summary": "GM going all-electric validates ARK's EV sales forecast; implicitly bullish on GM's EV transition.", "resolved_tickers": ["GM"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "According to our research at https://t.co/4ySCUnH7CM, i n 2022 #EVs will be cheaper than a $TM Camry, catapulting sales from 0.5 mm units in 2016 to 17mm, 4-8X times most other estimates.  $GM is validating that estimate, despite the fact that its Chevy #Bolt didn't sell. Hmm. https://t.co/jYYp73yYeL", "reply_text": null, "parent_text": null, "quoted_text": "General Motors Is Going All Electric https://t.co/q9mfowDi0f via @WIRED", "parent_author": null, "ret_m1d": -0.029919416708906632, "ret_signed_m1d": -0.029919416708906632, "alpha_spy_m1d": -0.02778399714940616, "alpha_c_m1d": -0.02572677022185632, "bench_spy_m1d": -0.0021354195595004732, "bench_c_m1d": -0.004192646487050311, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.007594498217838419, "ret_signed_p1d": 0.007594498217838419, "alpha_spy_p1d": 0.006408192302103322, "alpha_c_p1d": 0.002408531655133661, "bench_spy_p1d": 0.0011863059157350975, "bench_c_p1d": 0.005185966562704758, "ret_p1w": 0.040506382070541136, "ret_signed_p1w": 0.040506382070541136, "alpha_spy_p1w": 0.033546146438418134, "alpha_c_p1w": 0.0326722020574981, "bench_spy_p1w": 0.006960235632123002, "bench_c_p1w": 0.007834180013043035, "ret_p1m": -0.007364906979169472, "ret_signed_p1m": -0.007364906979169472, "alpha_spy_p1m": -0.025675433698996164, "alpha_c_p1m": -0.022701977432016518, "bench_spy_p1m": 0.018310526719826692, "bench_c_p1m": 0.015337070452847046, "ret_p3m": -0.04803428670286769, "ret_signed_p3m": -0.04803428670286769, "alpha_spy_p3m": -0.10879561463227849, "alpha_c_p3m": -0.14067356822786403, "bench_spy_p3m": 0.0607613279294108, "bench_c_p3m": 0.09263928152499634, "ret_p6m": -0.16785398280167607, "ret_signed_p6m": -0.16785398280167607, "alpha_spy_p6m": -0.20480753267138563, "alpha_c_p6m": -0.27703479137866527, "bench_spy_p6m": 0.03695354986970956, "bench_c_p6m": 0.1091808085769892, "price_path": [-0.2056, -0.204, -0.1983, -0.1935, -0.1912, -0.183, -0.1718, -0.1712, -0.17, -0.1691, -0.1705, -0.1782, -0.1839, -0.1896, -0.1885, -0.1812, -0.1851, -0.1803, -0.2081, -0.2067, -0.2078, -0.1965, -0.1958, -0.1937, -0.1962, -0.2053, -0.2042, -0.1919, -0.1903, -0.1855, -0.2026, -0.2065, -0.2047, -0.1958, -0.1914, -0.1908, -0.1889, -0.191, -0.1908, -0.1839, -0.1675, -0.1488, -0.1488, -0.1518, -0.1418, -0.1505, -0.1484, -0.1404, -0.128, -0.1206, -0.1072, -0.1052, -0.1119, -0.1093, -0.1052, -0.1001, -0.0928, -0.0725, -0.0734, -0.0661, -0.0661, -0.0707, -0.0299, 0.0, 0.0076, 0.0092, 0.0341, 0.0433, 0.0405, 0.0465, 0.0331, 0.0559, 0.0532, 0.0361, 0.0384, 0.0437, 0.0497, 0.0391, 0.0697, 0.0384, 0.0414, 0.0274, -0.0018, -0.0108, -0.0074, -0.0196, -0.0255, -0.0301, -0.0403, -0.0308, -0.0308, -0.0182, 0.0028, -0.0104, -0.0136, 0.0035, 0.0099, 0.0329, 0.035, 0.0193, 0.0193, 0.0232, 0.0166, 0.0338, 0.0083, -0.0083, -0.0152, -0.0092, -0.015, -0.0299, -0.0241, -0.0241, -0.0322, -0.0355, -0.0385, -0.0522, -0.049, -0.0211, -0.0132, -0.0125, -0.0209, -0.0241, -0.0241, -0.0292, -0.0406, -0.039, -0.048, -0.048, -0.0292, -0.0055, 0.0251, 0.0221, 0.027, 0.023, -0.0014, 0.0263, 0.0235, 0.0235, 0.0263, 0.0226, 0.0186, 0.0021, 0.0054, 0.0075, 0.0256, 0.0024, 0.01, -0.0009, -0.0083, -0.0151, -0.0146, -0.0478, -0.0817, -0.0278, -0.0155, -0.0536, -0.0371, -0.0246, -0.0385, -0.029, -0.0281, -0.0457, -0.0457, -0.0531, -0.058, -0.0499, -0.0499, -0.0353, -0.0671, -0.0861, -0.1224, -0.1307, -0.1235, -0.1191, -0.1235, -0.1123, -0.1123, -0.1125, -0.1083, -0.1158, -0.112, -0.1099, -0.1317, -0.1345, -0.1184, -0.1472, -0.1749, -0.1557, -0.1819, -0.1679]}
{"unit_id": "quote:905310225774895104", "ticker_idx": 0, "ts": "2017-09-06T06:02:32+00:00", "symbol": "BIDU", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$BIDU is laser focused on #deeplearning and #AutonomousVehicles, both of which may resurrect its search business", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish BIDU: deep learning and autonomous vehicles focus may revive its search business.", "resolved_tickers": ["BIDU"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLC", "bench_c_reason": "industry='Internet Content & Information'", "bench_c_industry": "Internet Content & Information", "unit_kind": "quote", "lang": "en", "tweet_text": "$BIDU is laser focused on #deeplearning and #AutonomousVehicles, both of which may resurrect its search business. https://t.co/RJzqsULjjg", "reply_text": null, "parent_text": null, "quoted_text": "Proud to announce our paper \"Deep Voice 2: Multi-Speaker Neural Text-to-Speech\" is accepted for #nips2017 spotlight! https://t.co/DcITKIhMFJ https://t.co/EQnPdWD0GS", "parent_author": null, "ret_m1d": -0.0073577924834279385, "ret_signed_m1d": -0.0073577924834279385, "alpha_spy_m1d": -0.003955525596336162, "alpha_c_m1d": null, "bench_spy_m1d": -0.003402266887091776, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.027360406316602193, "ret_signed_p1d": 0.027360406316602193, "alpha_spy_p1d": 0.027482184349646555, "alpha_c_p1d": null, "bench_spy_p1d": -0.00012177803304436186, "bench_c_p1d": null, "ret_p1w": 0.04159141027728541, "ret_signed_p1w": 0.04159141027728541, "alpha_spy_p1w": 0.02834718035383399, "alpha_c_p1w": null, "bench_spy_p1w": 0.013244229923451423, "bench_c_p1w": null, "ret_p1m": 0.08062740870306939, "ret_signed_p1m": 0.08062740870306939, "alpha_spy_p1m": 0.04407874993880645, "alpha_c_p1m": null, "bench_spy_p1m": 0.03654865876426294, "bench_c_p1m": null, "ret_p3m": 0.01185179727249741, "ret_signed_p3m": 0.01185179727249741, "alpha_spy_p3m": -0.06328326321898503, "alpha_c_p3m": null, "bench_spy_p3m": 0.07513506049148244, "bench_c_p3m": null, "ret_p6m": 0.10036568117716071, "ret_signed_p6m": 0.10036568117716071, "alpha_spy_p6m": 0.005170721780595411, "alpha_c_p6m": null, "bench_spy_p6m": 0.0951949593965653, "bench_c_p6m": null, "price_path": [-0.2022, -0.2067, -0.2105, -0.2149, -0.2231, -0.2339, -0.2205, -0.2164, -0.2062, -0.2099, -0.2151, -0.2137, -0.2263, -0.2158, -0.2086, -0.212, -0.2071, -0.2071, -0.1901, -0.1991, -0.2008, -0.194, -0.1875, -0.1772, -0.1765, -0.1693, -0.1707, -0.165, -0.1589, -0.1571, -0.1489, -0.1248, -0.1318, -0.1137, -0.1144, -0.0307, -0.0027, -0.006, -0.0221, 0.0019, -0.0041, 0.0008, 0.0109, 0.0147, -0.0194, -0.0153, -0.0145, -0.0072, -0.0037, -0.0261, -0.0277, -0.0198, -0.0038, -0.0087, -0.0093, -0.0063, -0.0308, -0.0277, -0.0136, 0.0048, 0.025, 0.025, -0.0074, 0.0, 0.0274, 0.01, 0.0288, 0.0468, 0.0416, 0.0456, 0.0363, 0.0533, 0.0479, 0.0484, 0.0527, 0.0599, 0.0331, 0.0406, 0.0566, 0.063, 0.0913, 0.0956, 0.0882, 0.0749, 0.0806, 0.0913, 0.1112, 0.1561, 0.1469, 0.1426, 0.1573, 0.202, 0.191, 0.185, 0.1654, 0.1671, 0.1725, 0.1631, 0.1589, 0.1483, 0.0546, 0.0416, 0.0748, 0.0813, 0.0666, 0.0642, 0.0774, 0.0727, 0.0626, 0.0577, 0.046, 0.0458, 0.035, 0.0319, 0.0544, 0.0542, 0.051, 0.0764, 0.0999, 0.0999, 0.0989, 0.0883, 0.0752, 0.0375, 0.0512, 0.0357, 0.0119, 0.0211, 0.0184, 0.0266, 0.0336, 0.0289, 0.0254, 0.0276, 0.0214, 0.0287, 0.0615, 0.0381, 0.0282, 0.0552, 0.0532, 0.0532, 0.0478, 0.0473, 0.0342, 0.0319, 0.0319, 0.068, 0.0819, 0.0827, 0.0801, 0.1051, 0.1223, 0.0968, 0.1024, 0.1149, 0.1149, 0.1357, 0.1257, 0.1233, 0.1278, 0.1206, 0.1339, 0.1365, 0.1197, 0.1466, 0.1179, 0.0753, 0.0879, 0.0597, 0.0273, -0.0073, 0.0079, -0.0197, -0.0656, -0.0498, -0.0235, -0.006, 0.0393, 0.0935, 0.0782, 0.0782, 0.0813, 0.0879, 0.0986, 0.1047, 0.129, 0.1035, 0.1118, 0.1004]}
{"unit_id": "quote:892219536132501508", "ticker_idx": 0, "ts": "2017-08-01T03:04:48+00:00", "symbol": "Nintendo", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "#Nintendo and #Pokemon Go still seem to have a lot more power than most investors anticipated", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish Nintendo; franchise strength underestimated by most investors.", "resolved_tickers": ["7974.T"], "resolution_method": "exchange_ticker", "resolution_reason": "Nintendo listed on Tokyo Stock Exchange as 7974.T", "bench_c": "XLC", "bench_c_reason": "industry='Electronic Gaming & Multimedia'", "bench_c_industry": "Electronic Gaming & Multimedia", "unit_kind": "quote", "lang": "en", "tweet_text": "#Nintendo and #Pokemon Go still seem to have a lot more power than most investors anticipated. https://t.co/72jdOLXyvA", "reply_text": null, "parent_text": null, "quoted_text": "Niantic postpones its Pokémon Go events in Europe after its Chicago festival ended in disaster https://t.co/9pFYHKBGxS https://t.co/iwPZuZIJRj", "parent_author": null, "ret_m1d": 0.010242435079337087, "ret_signed_m1d": 0.010242435079337087, "alpha_spy_m1d": 0.012466473041840453, "alpha_c_m1d": null, "bench_spy_m1d": -0.002224037962503367, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.02129361434458188, "ret_signed_p1d": 0.02129361434458188, "alpha_spy_p1d": 0.02080846238765366, "alpha_c_p1d": null, "bench_spy_p1d": 0.00048515195692822033, "bench_c_p1d": null, "ret_p1w": 0.029379729849930536, "ret_signed_p1w": 0.029379729849930536, "alpha_spy_p1w": 0.029622518241685825, "alpha_c_p1w": null, "bench_spy_p1w": -0.00024278839175528866, "bench_c_p1w": null, "ret_p1m": -0.017520386678534172, "ret_signed_p1m": -0.017520386678534172, "alpha_spy_p1m": -0.012223365633333372, "alpha_c_p1m": null, "bench_spy_p1m": -0.0052970210452008, "bench_c_p1m": null, "ret_p3m": 0.16165168177093414, "ret_signed_p3m": 0.16165168177093414, "alpha_spy_p3m": 0.11447044154637087, "alpha_c_p3m": null, "bench_spy_p3m": 0.04718124022456327, "bench_c_p3m": null, "ret_p6m": 0.3146284298782067, "ret_signed_p6m": 0.3146284298782067, "alpha_spy_p6m": 0.15807077135239744, "alpha_c_p6m": null, "bench_spy_p6m": 0.15655765852580927, "bench_c_p6m": null, "price_path": [-0.2357, -0.2357, -0.2235, -0.2255, -0.2049, -0.2036, -0.2054, -0.1985, -0.1916, -0.1782, -0.1798, -0.1833, -0.1782, -0.1677, -0.1407, -0.1437, -0.0968, -0.0849, -0.0833, -0.093, -0.1062, -0.096, -0.0682, -0.0666, -0.0768, -0.0841, -0.0615, -0.083, -0.0792, -0.0631, -0.0229, -0.0286, -0.0038, 0.0094, 0.0027, 0.0081, 0.0361, 0.0588, 0.0598, 0.0208, 0.0453, 0.0156, -0.0049, -0.0542, -0.0453, -0.058, -0.0523, -0.017, -0.028, -0.0291, -0.0256, -0.0329, -0.0329, -0.0162, 0.0146, 0.0059, 0.0032, -0.0232, -0.0485, -0.0358, 0.0375, 0.0097, 0.0102, 0.0, 0.0213, 0.0073, 0.0135, 0.0286, 0.0294, 0.0105, -0.0102, -0.0102, -0.0294, -0.0124, -0.0113, -0.0113, -0.027, -0.0367, -0.0275, -0.0302, -0.0318, -0.0286, -0.007, -0.0162, -0.0175, -0.0124, -0.0081, -0.0086, -0.0323, -0.0361, -0.0453, -0.0296, -0.0113, 0.021, 0.0181, 0.0154, 0.031, 0.031, 0.1038, 0.1561, 0.1253, 0.1086, 0.1105, 0.0895, 0.1041, 0.1235, 0.1233, 0.1276, 0.1287, 0.1357, 0.1498, 0.1803, 0.1803, 0.1727, 0.19, 0.1811, 0.1933, 0.1976, 0.1811, 0.16, 0.1765, 0.1789, 0.1814, 0.1919, 0.193, 0.1462, 0.1617, 0.1587, 0.1838, 0.1725, 0.1608, 0.1608, 0.1492, 0.1571, 0.1744, 0.1641, 0.1703, 0.1906, 0.2103, 0.1646, 0.2106, 0.2117, 0.21, 0.2027, 0.2165, 0.2165, 0.2598, 0.2898, 0.2725, 0.2495, 0.2217, 0.2241, 0.2011, 0.1627, 0.1665, 0.2022, 0.1814, 0.1995, 0.1865, 0.1873, 0.1625, 0.163, 0.163, 0.1538, 0.1392, 0.1406, 0.1435, 0.1449, 0.1265, 0.1344, 0.1108, 0.1133, 0.1133, 0.1133, 0.1133, 0.1679, 0.1517, 0.1517, 0.166, 0.1954, 0.1925, 0.206, 0.2125, 0.2192, 0.2241, 0.253, 0.306, 0.3095, 0.3403, 0.3146]}
{"unit_id": "quote:1069348808948154370", "ticker_idx": 0, "ts": "2018-12-02T21:53:18+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Regulatory clarity is bullish for #bitcoin and #ether. These #cryptoassets soared despite bad news in Q4'17. They are sinking despite good news in Q4'18. The odds look good here.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish BTC and ETH: regulatory clarity is a tailwind and current dip despite good news looks like a favorable entry.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Regulatory clarity is bullish for #bitcoin and #ether. These #cryptoassets soared despite bad news in Q4’17. They are sinking despite good news in Q4’18. The odds look good here.", "reply_text": null, "parent_text": null, "quoted_text": "SEC’s Jay Clayton at #ConsensusInvest:\n\n#Bitcoin a security? No.\n#Ether a security? No.\n#Ripple a security? No comment. https://t.co/VfXoao8emk", "parent_author": null, "ret_m1d": 0.031621355254677574, "ret_signed_m1d": 0.031621355254677574, "alpha_spy_m1d": 0.04468956171974281, "alpha_c_m1d": null, "bench_spy_m1d": -0.013068206465065235, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.016117316474361765, "ret_signed_p1d": 0.016117316474361765, "alpha_spy_p1d": 0.04851971910491337, "alpha_c_p1d": null, "bench_spy_p1d": -0.03240240263055161, "bench_c_p1d": null, "ret_p1w": -0.10052945513455491, "ret_signed_p1w": -0.10052945513455491, "alpha_spy_p1w": -0.04600045635233929, "alpha_c_p1w": null, "bench_spy_p1w": -0.05452899878221562, "bench_c_p1w": null, "ret_p1m": -0.012996697253228162, "ret_signed_p1m": -0.012996697253228162, "alpha_spy_p1m": 0.08696964150944508, "alpha_c_p1m": null, "bench_spy_p1m": -0.09996633876267325, "bench_c_p1m": null, "ret_p3m": -0.010103784491384493, "ret_signed_p3m": -0.010103784491384493, "alpha_spy_p3m": -0.01371045066626464, "alpha_c_p3m": null, "bench_spy_p3m": 0.0036066661748801465, "bench_c_p3m": null, "ret_p6m": 1.2392575465381346, "ret_signed_p6m": 1.2392575465381346, "alpha_spy_p6m": 1.2259128326758073, "alpha_c_p6m": null, "bench_spy_p6m": 0.013344713862327273, "bench_c_p6m": null, "price_path": [0.7444, 0.6767, 0.6607, 0.6254, 0.6233, 0.6311, 0.6736, 0.6724, 0.613, 0.6361, 0.6431, 0.6742, 0.7295, 0.6937, 0.6554, 0.6679, 0.7146, 0.7062, 0.6922, 0.6836, 0.6698, 0.6889, 0.7006, 0.7083, 0.7058, 0.6911, 0.6066, 0.6113, 0.694, 0.6939, 0.6806, 0.6632, 0.6603, 0.6659, 0.6629, 0.6681, 0.6631, 0.6627, 0.6262, 0.6266, 0.6223, 0.6378, 0.6405, 0.6485, 0.6592, 0.6769, 0.6573, 0.6398, 0.6361, 0.6331, 0.4736, 0.4504, 0.4318, 0.251, 0.1432, 0.1818, 0.1212, 0.1163, -0.0295, -0.0189, 0.0933, 0.0988, 0.0316, 0.0, 0.0161, -0.036, -0.0958, -0.1218, -0.1005, -0.1206, -0.1046, -0.1491, -0.1673, -0.0894, -0.0509, -0.0381, 0.0617, 0.0006, 0.0474, -0.0202, -0.0095, -0.0615, 0.0076, -0.0389, -0.013, 0.0127, -0.0147, -0.0094, 0.0337, 0.0351, 0.0363, -0.0553, -0.0531, -0.0483, -0.0677, -0.0614, -0.0554, -0.0607, -0.0817, -0.0744, -0.0794, -0.0753, -0.0756, -0.1088, -0.1145, -0.1048, -0.1121, -0.1043, -0.1117, -0.1099, -0.1234, -0.127, -0.0584, -0.0631, -0.0618, -0.0673, -0.0712, -0.0702, 0.0055, 0.0136, 0.0271, 0.0154, 0.0286, -0.0029, -0.0102, -0.0111, -0.0101, -0.0089, -0.034, 0.0006, 0.0025, 0.0045, 0.0018, 0.0028, 0.0039, 0.0032, 0.0078, 0.0171, 0.0355, 0.0455, 0.0497, 0.0347, 0.0333, 0.0177, 0.0234, 0.0495, 0.0449, 0.0524, 0.0678, 0.2531, 0.2771, 0.2642, 0.2934, 0.3584, 0.3366, 0.3673, 0.3005, 0.307, 0.3012, 0.3445, 0.3487, 0.3606, 0.362, 0.3865, 0.431, 0.4034, 0.338, 0.3557, 0.3475, 0.374, 0.3874, 0.4137, 0.4813, 0.4758, 0.497, 0.5363, 0.5856, 0.6381, 1.0068, 1.0529, 1.1071, 1.0248, 0.8859, 1.0488, 1.045, 0.9722, 1.024, 1.0511, 1.2613, 1.2393]}
{"unit_id": "quote:1069348808948154370", "ticker_idx": 1, "ts": "2018-12-02T21:53:18+00:00", "symbol": "ETH-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": false, "explicit_audit": "flipped_to_implicit", "polarity_reversed": false, "quote": "Regulatory clarity is bullish for #bitcoin and #ether. These #cryptoassets soared despite bad news in Q4'17. They are sinking despite good news in Q4'18. The odds look good here.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish BTC and ETH: regulatory clarity is a tailwind and current dip despite good news looks like a favorable entry.", "resolved_tickers": ["ETH-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Regulatory clarity is bullish for #bitcoin and #ether. These #cryptoassets soared despite bad news in Q4’17. They are sinking despite good news in Q4’18. The odds look good here.", "reply_text": null, "parent_text": null, "quoted_text": "SEC’s Jay Clayton at #ConsensusInvest:\n\n#Bitcoin a security? No.\n#Ether a security? No.\n#Ripple a security? No comment. https://t.co/VfXoao8emk", "parent_author": null, "ret_m1d": 0.03898460603123066, "ret_signed_m1d": 0.03898460603123066, "alpha_spy_m1d": 0.0520528124962959, "alpha_c_m1d": null, "bench_spy_m1d": -0.013068206465065235, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.011835383014102474, "ret_signed_p1d": 0.011835383014102474, "alpha_spy_p1d": 0.04423778564465408, "alpha_c_p1d": null, "bench_spy_p1d": -0.03240240263055161, "bench_c_p1d": null, "ret_p1w": -0.1582681820155747, "ret_signed_p1w": -0.1582681820155747, "alpha_spy_p1w": -0.10373918323335907, "alpha_c_p1w": null, "bench_spy_p1w": -0.05452899878221562, "bench_c_p1w": null, "ret_p1m": 0.2928105444973812, "ret_signed_p1m": 0.2928105444973812, "alpha_spy_p1m": 0.39277688326005444, "alpha_c_p1m": null, "bench_spy_p1m": -0.09996633876267325, "bench_c_p1m": null, "ret_p3m": 0.25541632637623257, "ret_signed_p3m": 0.25541632637623257, "alpha_spy_p3m": 0.2518096602013524, "alpha_c_p3m": null, "bench_spy_p3m": 0.0036066661748801465, "bench_c_p3m": null, "ret_p6m": 1.4950072213949408, "ret_signed_p6m": 1.4950072213949408, "alpha_spy_p6m": 1.4816625075326135, "alpha_c_p6m": null, "bench_spy_p6m": 0.013344713862327273, "bench_c_p6m": null, "price_path": [1.1329, 1.1135, 0.9941, 0.8093, 0.699, 0.6831, 0.9404, 0.944, 0.8166, 0.9277, 0.9276, 1.0619, 1.2638, 1.0999, 1.006, 0.9816, 1.0977, 1.0418, 1.1186, 1.0857, 1.0242, 1.0401, 1.0895, 1.1047, 1.093, 1.0727, 0.7397, 0.8061, 0.9252, 0.929, 0.9012, 0.8669, 0.8703, 0.8733, 0.8759, 0.8715, 0.8611, 0.8667, 0.8109, 0.8137, 0.8121, 0.8258, 0.842, 0.9196, 1.0055, 0.9939, 0.9484, 0.9286, 0.9318, 0.8988, 0.6653, 0.6599, 0.6082, 0.3695, 0.1966, 0.255, 0.1632, 0.1319, -0.0054, 0.01, 0.1241, 0.0791, 0.039, 0.0, 0.0118, -0.0592, -0.1576, -0.1435, -0.1583, -0.1834, -0.1683, -0.2055, -0.226, -0.1266, -0.0717, -0.0703, 0.0669, 0.0052, 0.2875, 0.1921, 0.2106, 0.0702, 0.2637, 0.2244, 0.2928, 0.4234, 0.3692, 0.4192, 0.3927, 0.3804, 0.3845, 0.1809, 0.171, 0.1849, 0.1203, 0.1342, 0.136, 0.111, 0.0756, 0.0902, 0.0783, 0.0775, 0.0684, -0.0214, -0.0305, -0.0002, -0.0171, -0.0121, -0.0101, -0.0136, -0.0368, -0.0403, 0.095, 0.1136, 0.1253, 0.1251, 0.1144, 0.121, 0.3413, 0.3344, 0.373, 0.3416, 0.3688, 0.2837, 0.2677, 0.2497, 0.2554, 0.2526, 0.173, 0.2653, 0.2742, 0.2672, 0.2406, 0.2287, 0.2343, 0.2234, 0.2276, 0.2641, 0.2795, 0.2901, 0.2916, 0.2544, 0.2594, 0.2397, 0.2436, 0.2944, 0.2799, 0.3082, 0.3021, 0.5053, 0.4823, 0.451, 0.5195, 0.6549, 0.6168, 0.6281, 0.5194, 0.5124, 0.4834, 0.5389, 0.5327, 0.5957, 0.5948, 0.5779, 0.574, 0.5224, 0.418, 0.4354, 0.4249, 0.4888, 0.4764, 0.4884, 0.5419, 0.5851, 0.5589, 0.5694, 0.5634, 0.5896, 0.8072, 0.9936, 1.269, 1.4238, 1.2379, 1.3123, 1.343, 1.2465, 1.2581, 1.2904, 1.5051, 1.495]}
{"unit_id": "quote:875121075092414464", "ticker_idx": 0, "ts": "2017-06-14T22:41:37+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$TSLA, $GOOG, #Didi, $BIDU, maybe $AAPL, should benefit from the #networkeffect and natural geographic monopolies", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Author names TSLA, GOOG, BIDU, AAPL, TM, GM as beneficiaries of network effects and geographic monopolies in autonomous driving.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "$TSLA, $GOOG, #Didi, $BIDU, maybe $AAPL, should benefit from the #networkeffect and natural geographic monopolies.  $TM and $GM have a shot. https://t.co/e4a9Ud5BMn", "reply_text": null, "parent_text": null, "quoted_text": "1/ Enjoying the Information's coverage of #autonomous this week. Would argue $TSLA is higher up the list though. https://t.co/y4OPb7VZAT", "parent_author": null, "ret_m1d": -0.012373214312691228, "ret_signed_m1d": -0.012373214312691228, "alpha_spy_m1d": -0.013642465803739401, "alpha_c_m1d": -0.012923895183299616, "bench_spy_m1d": 0.0012692514910481734, "bench_c_m1d": 0.0005506808706083888, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.013975690849574174, "ret_signed_p1d": -0.013975690849574174, "alpha_spy_p1d": -0.012051460343647347, "alpha_c_p1d": -0.009792408165227195, "bench_spy_p1d": -0.0019242305059268272, "bench_c_p1d": -0.004183282684346978, "ret_p1w": -0.011191105078973473, "ret_signed_p1w": -0.011191105078973473, "alpha_spy_p1w": -0.010760336238366253, "alpha_c_p1w": -0.0033082682202019154, "bench_spy_p1w": -0.00043076884060722076, "bench_c_p1w": -0.007882836858771558, "ret_p1m": -0.15039664319459312, "ret_signed_p1m": -0.15039664319459312, "alpha_spy_p1m": -0.15601392939556646, "alpha_c_p1m": -0.1431761663156128, "bench_spy_p1m": 0.005617286200973348, "bench_c_p1m": -0.007220476878980309, "ret_p3m": -0.04458042976374876, "ret_signed_p3m": -0.04458042976374876, "alpha_spy_p3m": -0.06990501217590162, "alpha_c_p3m": -0.034488807891946305, "bench_spy_p3m": 0.025324582412152852, "bench_c_p3m": -0.010091621871802459, "ret_p6m": -0.1823674818946307, "ret_signed_p6m": -0.1823674818946307, "alpha_spy_p6m": -0.2742225429854189, "alpha_c_p6m": -0.25501602819723945, "bench_spy_p6m": 0.09185506109078823, "bench_c_p6m": 0.07264854630260875, "price_path": [-0.313, -0.3119, -0.3415, -0.3301, -0.3307, -0.3087, -0.2901, -0.2711, -0.2713, -0.2699, -0.2689, -0.2158, -0.2022, -0.225, -0.2153, -0.2052, -0.1793, -0.189, -0.2202, -0.2014, -0.2014, -0.2081, -0.2112, -0.1974, -0.2053, -0.1972, -0.1908, -0.1757, -0.1852, -0.1892, -0.1749, -0.1519, -0.1623, -0.1829, -0.2238, -0.19, -0.193, -0.156, -0.1456, -0.1512, -0.1467, -0.1702, -0.1672, -0.1958, -0.1776, -0.1834, -0.1847, -0.2018, -0.185, -0.1677, -0.1459, -0.1459, -0.1197, -0.1042, -0.1058, -0.1072, -0.0876, -0.0731, -0.0552, -0.028, -0.0613, -0.0569, -0.0124, 0.0, -0.014, -0.0243, -0.0285, -0.0221, -0.0112, 0.0051, 0.0073, -0.0083, -0.048, -0.0247, -0.0523, -0.05, -0.0737, -0.0737, -0.1407, -0.1887, -0.1772, -0.1697, -0.1404, -0.1343, -0.1504, -0.1389, -0.1605, -0.1377, -0.1455, -0.1333, -0.1373, -0.1002, -0.1079, -0.0967, -0.1214, -0.1198, -0.1502, -0.1605, -0.1439, -0.0882, -0.0624, -0.067, -0.0406, -0.045, -0.0664, -0.0599, -0.0443, -0.0482, -0.0466, -0.0755, -0.0872, -0.1124, -0.1033, -0.0733, -0.0728, -0.0857, -0.0919, -0.0875, -0.0722, -0.065, -0.0664, -0.0664, -0.0816, -0.0949, -0.0789, -0.0979, -0.0446, -0.047, -0.0379, -0.0079, -0.0022, 0.0114, -0.0146, -0.0177, -0.0373, -0.0777, -0.0937, -0.093, -0.1043, -0.1079, -0.1039, -0.1028, -0.0854, -0.0674, -0.0665, -0.0625, -0.0991, -0.0659, -0.0685, -0.0656, -0.0659, -0.079, -0.0654, -0.0552, -0.0758, -0.0934, -0.1146, -0.1138, -0.144, -0.1431, -0.1571, -0.1591, -0.1291, -0.1565, -0.2138, -0.1959, -0.2046, -0.196, -0.2004, -0.204, -0.204, -0.1714, -0.189, -0.1822, -0.1791, -0.1724, -0.1889, -0.1651, -0.1788, -0.1788, -0.171, -0.1677, -0.1658, -0.1921, -0.1886, -0.1947, -0.1982, -0.2022, -0.1771, -0.1824]}
{"unit_id": "quote:875121075092414464", "ticker_idx": 1, "ts": "2017-06-14T22:41:37+00:00", "symbol": "GOOG", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$TSLA, $GOOG, #Didi, $BIDU, maybe $AAPL, should benefit from the #networkeffect and natural geographic monopolies", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Author names TSLA, GOOG, BIDU, AAPL, TM, GM as beneficiaries of network effects and geographic monopolies in autonomous driving.", "resolved_tickers": ["GOOG"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLC", "bench_c_reason": "industry='Internet Content & Information'", "bench_c_industry": "Internet Content & Information", "unit_kind": "quote", "lang": "en", "tweet_text": "$TSLA, $GOOG, #Didi, $BIDU, maybe $AAPL, should benefit from the #networkeffect and natural geographic monopolies.  $TM and $GM have a shot. https://t.co/e4a9Ud5BMn", "reply_text": null, "parent_text": null, "quoted_text": "1/ Enjoying the Information's coverage of #autonomous this week. Would argue $TSLA is higher up the list though. https://t.co/y4OPb7VZAT", "parent_author": null, "ret_m1d": 0.0027767885011409366, "ret_signed_m1d": 0.0027767885011409366, "alpha_spy_m1d": 0.0015075370100927632, "alpha_c_m1d": null, "bench_spy_m1d": 0.0012692514910481734, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.008887389826899295, "ret_signed_p1d": -0.008887389826899295, "alpha_spy_p1d": -0.006963159320972467, "alpha_c_p1d": null, "bench_spy_p1d": -0.0019242305059268272, "bench_c_p1d": null, "ret_p1w": 0.009140214955565051, "ret_signed_p1w": 0.009140214955565051, "alpha_spy_p1w": 0.009570983796172272, "alpha_c_p1w": null, "bench_spy_p1w": -0.00043076884060722076, "bench_c_p1w": null, "ret_p1m": -0.003786228222857013, "ret_signed_p1m": -0.003786228222857013, "alpha_spy_p1m": -0.009403514423830361, "alpha_c_p1m": null, "bench_spy_p1m": 0.005617286200973348, "bench_c_p1m": null, "ret_p3m": -0.022802561292497026, "ret_signed_p3m": -0.022802561292497026, "alpha_spy_p3m": -0.04812714370464988, "alpha_c_p3m": null, "bench_spy_p3m": 0.025324582412152852, "bench_c_p3m": null, "ret_p6m": 0.08432223691259821, "ret_signed_p6m": 0.08432223691259821, "alpha_spy_p6m": -0.007532824178190012, "alpha_c_p6m": null, "bench_spy_p6m": 0.09185506109078823, "bench_c_p6m": null, "price_path": [-0.1037, -0.1077, -0.1265, -0.1274, -0.1401, -0.1434, -0.138, -0.1366, -0.1255, -0.1254, -0.1275, -0.118, -0.1222, -0.1255, -0.1292, -0.1326, -0.1326, -0.134, -0.133, -0.1338, -0.1338, -0.1195, -0.1198, -0.1184, -0.1148, -0.1131, -0.0926, -0.0825, -0.0831, -0.0805, -0.0471, -0.0402, -0.0361, -0.0249, -0.0201, -0.0249, -0.0173, -0.0196, -0.0231, -0.0212, -0.0195, -0.0144, -0.0082, -0.0328, -0.0216, -0.0176, -0.0094, -0.002, 0.0044, 0.0198, 0.0218, 0.0218, 0.0264, 0.0148, 0.017, 0.0261, 0.0346, 0.0271, 0.0317, 0.0343, -0.001, -0.0083, 0.0028, 0.0, -0.0089, -0.0115, 0.007, -0.0001, 0.0091, 0.0067, 0.0156, 0.0016, -0.0246, -0.0108, -0.0347, -0.0442, -0.0548, -0.0548, -0.0411, -0.0464, -0.0338, -0.0231, -0.0217, -0.0073, -0.0038, 0.0055, 0.0028, 0.0154, 0.0212, 0.0183, 0.0233, 0.0311, -0.0001, -0.0031, -0.0175, -0.0097, -0.0213, -0.021, -0.0214, -0.0285, -0.024, -0.0225, -0.0252, -0.0293, -0.0458, -0.0383, -0.0295, -0.03, -0.025, -0.0418, -0.0422, -0.0464, -0.0274, -0.025, -0.031, -0.0367, -0.0389, -0.031, -0.0223, -0.012, -0.0141, -0.0141, -0.0235, -0.0241, -0.0156, -0.0255, -0.0228, -0.0197, -0.0165, -0.027, -0.032, -0.0376, -0.0304, -0.0202, -0.0193, -0.0234, -0.0313, -0.0272, -0.0066, -0.0013, 0.0088, 0.0026, 0.0074, 0.001, 0.0202, 0.0296, 0.0276, 0.023, 0.0405, 0.039, 0.0409, 0.0434, 0.0436, 0.0442, 0.0354, 0.0394, 0.0186, 0.0208, 0.0237, 0.0229, 0.0721, 0.0698, 0.0693, 0.0786, 0.0787, 0.086, 0.079, 0.0868, 0.0937, 0.0847, 0.0813, 0.0789, 0.0791, 0.0738, 0.086, 0.0719, 0.0711, 0.0881, 0.0896, 0.0896, 0.0945, 0.1088, 0.1017, 0.0746, 0.0743, 0.0625, 0.0504, 0.0572, 0.0711, 0.0843]}
{"unit_id": "quote:875121075092414464", "ticker_idx": 2, "ts": "2017-06-14T22:41:37+00:00", "symbol": "BIDU", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$TSLA, $GOOG, #Didi, $BIDU, maybe $AAPL, should benefit from the #networkeffect and natural geographic monopolies", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Author names TSLA, GOOG, BIDU, AAPL, TM, GM as beneficiaries of network effects and geographic monopolies in autonomous driving.", "resolved_tickers": ["BIDU"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLC", "bench_c_reason": "industry='Internet Content & Information'", "bench_c_industry": "Internet Content & Information", "unit_kind": "quote", "lang": "en", "tweet_text": "$TSLA, $GOOG, #Didi, $BIDU, maybe $AAPL, should benefit from the #networkeffect and natural geographic monopolies.  $TM and $GM have a shot. https://t.co/e4a9Ud5BMn", "reply_text": null, "parent_text": null, "quoted_text": "1/ Enjoying the Information's coverage of #autonomous this week. Would argue $TSLA is higher up the list though. https://t.co/y4OPb7VZAT", "parent_author": null, "ret_m1d": 0.00555558647653398, "ret_signed_m1d": 0.00555558647653398, "alpha_spy_m1d": 0.004286334985485807, "alpha_c_m1d": null, "bench_spy_m1d": 0.0012692514910481734, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.010493799939461534, "ret_signed_p1d": -0.010493799939461534, "alpha_spy_p1d": -0.008569569433534707, "alpha_c_p1d": null, "bench_spy_p1d": -0.0019242305059268272, "bench_c_p1d": null, "ret_p1w": 0.011055001427835665, "ret_signed_p1w": 0.011055001427835665, "alpha_spy_p1w": 0.011485770268442885, "alpha_c_p1w": null, "bench_spy_p1w": -0.00043076884060722076, "bench_c_p1w": null, "ret_p1m": 0.04893378995531528, "ret_signed_p1m": 0.04893378995531528, "alpha_spy_p1m": 0.04331650375434193, "alpha_c_p1m": null, "bench_spy_p1m": 0.005617286200973348, "bench_c_p1m": null, "ret_p3m": 0.31032549943207677, "ret_signed_p3m": 0.31032549943207677, "alpha_spy_p3m": 0.2850009170199239, "alpha_c_p3m": null, "bench_spy_p3m": 0.025324582412152852, "bench_c_p3m": null, "ret_p6m": 0.30757574914276353, "ret_signed_p6m": 0.30757574914276353, "alpha_spy_p6m": 0.2157206880519753, "alpha_c_p6m": null, "bench_spy_p6m": 0.09185506109078823, "bench_c_p6m": null, "price_path": [-0.0089, -0.0116, -0.0382, -0.0485, -0.0482, -0.0558, -0.052, -0.0472, -0.0423, -0.0328, -0.0319, -0.018, -0.0168, -0.0296, -0.027, -0.0323, -0.0223, -0.0291, -0.0258, -0.0314, -0.0314, -0.0274, -0.0209, -0.0022, 0.0025, -0.0007, 0.0103, 0.0493, 0.0475, 0.0542, 0.0114, 0.0104, 0.0025, -0.0045, -0.0084, -0.001, -0.0041, 0.0268, 0.0301, 0.0471, 0.0484, 0.0446, 0.0698, 0.0441, 0.0237, 0.0593, 0.0757, 0.0763, 0.0698, 0.0772, 0.0684, 0.0684, 0.0655, 0.0443, 0.0508, 0.0527, 0.0511, 0.0424, 0.0524, 0.0424, 0.0161, 0.0104, 0.0056, 0.0, -0.0105, -0.0242, -0.0071, -0.002, 0.0111, 0.0063, -0.0003, 0.0015, -0.0146, -0.0011, 0.008, 0.0037, 0.0099, 0.0099, 0.0316, 0.0201, 0.018, 0.0265, 0.0348, 0.048, 0.0489, 0.0581, 0.0563, 0.0635, 0.0713, 0.0736, 0.0841, 0.1148, 0.1058, 0.1289, 0.1279, 0.2346, 0.2702, 0.266, 0.2456, 0.276, 0.2685, 0.2747, 0.2876, 0.2924, 0.249, 0.2542, 0.2553, 0.2645, 0.269, 0.2405, 0.2384, 0.2485, 0.2689, 0.2626, 0.2618, 0.2657, 0.2345, 0.2384, 0.2563, 0.2797, 0.3055, 0.3055, 0.2643, 0.2737, 0.3085, 0.2864, 0.3103, 0.3333, 0.3267, 0.3318, 0.3199, 0.3416, 0.3347, 0.3354, 0.3407, 0.35, 0.3159, 0.3254, 0.3458, 0.354, 0.39, 0.3955, 0.3861, 0.3691, 0.3764, 0.39, 0.4154, 0.4726, 0.4608, 0.4553, 0.4741, 0.531, 0.5169, 0.5094, 0.4844, 0.4865, 0.4934, 0.4815, 0.4761, 0.4625, 0.3433, 0.3267, 0.3689, 0.3773, 0.3585, 0.3554, 0.3722, 0.3663, 0.3534, 0.3471, 0.3322, 0.332, 0.3183, 0.3143, 0.343, 0.3427, 0.3386, 0.3709, 0.401, 0.401, 0.3997, 0.3862, 0.3694, 0.3215, 0.3388, 0.3191, 0.2888, 0.3005, 0.2971, 0.3076]}
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{"unit_id": "quote:875121075092414464", "ticker_idx": 4, "ts": "2017-06-14T22:41:37+00:00", "symbol": "TM", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$TM and $GM have a shot", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Author names TSLA, GOOG, BIDU, AAPL, TM, GM as beneficiaries of network effects and geographic monopolies in autonomous driving.", "resolved_tickers": ["TM"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "$TSLA, $GOOG, #Didi, $BIDU, maybe $AAPL, should benefit from the #networkeffect and natural geographic monopolies.  $TM and $GM have a shot. https://t.co/e4a9Ud5BMn", "reply_text": null, "parent_text": null, "quoted_text": "1/ Enjoying the Information's coverage of #autonomous this week. Would argue $TSLA is higher up the list though. https://t.co/y4OPb7VZAT", "parent_author": null, "ret_m1d": 0.0066542841336612035, "ret_signed_m1d": 0.0066542841336612035, "alpha_spy_m1d": 0.00538503264261303, "alpha_c_m1d": 0.006103603263052815, "bench_spy_m1d": 0.0012692514910481734, "bench_c_m1d": 0.0005506808706083888, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.00862227220400158, "ret_signed_p1d": -0.00862227220400158, "alpha_spy_p1d": -0.006698041698074753, "alpha_c_p1d": -0.004438989519654601, "bench_spy_p1d": -0.0019242305059268272, "bench_c_p1d": -0.004183282684346978, "ret_p1w": -0.02005619746726095, "ret_signed_p1w": -0.02005619746726095, "alpha_spy_p1w": -0.01962542862665373, "alpha_c_p1w": -0.012173360608489392, "bench_spy_p1w": -0.00043076884060722076, "bench_c_p1w": -0.007882836858771558, "ret_p1m": 0.029428255685039373, "ret_signed_p1m": 0.029428255685039373, "alpha_spy_p1m": 0.023810969484066025, "alpha_c_p1m": 0.03664873256401968, "bench_spy_p1m": 0.005617286200973348, "bench_c_p1m": -0.007220476878980309, "ret_p3m": 0.08931601202469541, "ret_signed_p3m": 0.08931601202469541, "alpha_spy_p3m": 0.06399142961254256, "alpha_c_p3m": 0.09940763389649787, "bench_spy_p3m": 0.025324582412152852, "bench_c_p3m": -0.010091621871802459, "ret_p6m": 0.17378172898020816, "ret_signed_p6m": 0.17378172898020816, "alpha_spy_p6m": 0.08192666788941994, "alpha_c_p6m": 0.10113318267759941, "bench_spy_p6m": 0.09185506109078823, "bench_c_p6m": 0.07264854630260875, "price_path": [0.0332, 0.0313, 0.0257, 0.0205, 0.0176, 0.0254, 0.0288, 0.0351, 0.0333, 0.0315, 0.018, 0.0171, 0.0123, -0.0052, -0.0112, -0.0074, -0.0067, -0.0028, -0.0118, -0.0236, -0.0236, -0.0054, -0.0129, -0.0195, -0.0066, -0.0011, 0.0027, 0.0189, 0.0301, 0.0254, 0.0135, 0.015, 0.0238, 0.0203, 0.0231, 0.0301, 0.0327, 0.0165, -0.0083, 0.0013, -0.0022, -0.0027, 0.0021, -0.0085, 0.0007, 0.0081, 0.0075, 0.0129, 0.0058, 0.0056, 0.0037, 0.0037, 0.0111, 0.0079, 0.0159, 0.025, 0.0099, 0.0103, 0.0078, -0.0086, -0.009, -0.0023, 0.0067, 0.0, -0.0086, -0.0169, -0.0187, -0.027, -0.0201, -0.0113, -0.0137, -0.0161, -0.0202, -0.013, -0.0221, -0.0157, -0.0063, -0.0063, 0.0172, 0.007, 0.0166, 0.0142, 0.0142, 0.0297, 0.0294, 0.0328, 0.034, 0.0309, 0.0281, 0.0294, 0.0245, 0.0254, 0.0321, 0.0381, 0.0466, 0.0521, 0.0575, 0.07, 0.0702, 0.0565, 0.065, 0.0696, 0.0705, 0.06, 0.0532, 0.0508, 0.0593, 0.0617, 0.0533, 0.0445, 0.0471, 0.0564, 0.0578, 0.0576, 0.0517, 0.0575, 0.0522, 0.0504, 0.0524, 0.0589, 0.0593, 0.0593, 0.0649, 0.0659, 0.071, 0.0775, 0.0893, 0.0922, 0.0929, 0.0975, 0.103, 0.1021, 0.1252, 0.1281, 0.1251, 0.1306, 0.1337, 0.1371, 0.1386, 0.1377, 0.1336, 0.135, 0.1448, 0.1508, 0.1495, 0.1593, 0.1574, 0.1803, 0.1754, 0.1719, 0.1737, 0.1741, 0.173, 0.1821, 0.1707, 0.1768, 0.1679, 0.1784, 0.1638, 0.1782, 0.1818, 0.1833, 0.1796, 0.1837, 0.192, 0.195, 0.1951, 0.2125, 0.2174, 0.1935, 0.1842, 0.1955, 0.1879, 0.1764, 0.1831, 0.1728, 0.1823, 0.1965, 0.1994, 0.1994, 0.1991, 0.1984, 0.2077, 0.2038, 0.2018, 0.183, 0.1788, 0.1765, 0.1698, 0.1738]}
{"unit_id": "quote:875121075092414464", "ticker_idx": 5, "ts": "2017-06-14T22:41:37+00:00", "symbol": "GM", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$TM and $GM have a shot", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Author names TSLA, GOOG, BIDU, AAPL, TM, GM as beneficiaries of network effects and geographic monopolies in autonomous driving.", "resolved_tickers": ["GM"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "$TSLA, $GOOG, #Didi, $BIDU, maybe $AAPL, should benefit from the #networkeffect and natural geographic monopolies.  $TM and $GM have a shot. https://t.co/e4a9Ud5BMn", "reply_text": null, "parent_text": null, "quoted_text": "1/ Enjoying the Information's coverage of #autonomous this week. Would argue $TSLA is higher up the list though. https://t.co/y4OPb7VZAT", "parent_author": null, "ret_m1d": -0.0028894655901576805, "ret_signed_m1d": -0.0028894655901576805, "alpha_spy_m1d": -0.004158717081205854, "alpha_c_m1d": -0.0034401464607660692, "bench_spy_m1d": 0.0012692514910481734, "bench_c_m1d": 0.0005506808706083888, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.0002889273356401212, "ret_signed_p1d": -0.0002889273356401212, "alpha_spy_p1d": 0.001635303170286706, "alpha_c_p1d": 0.003894355348706857, "bench_spy_p1d": -0.0019242305059268272, "bench_c_p1d": -0.004183282684346978, "ret_p1w": -0.01386876842240159, "ret_signed_p1w": -0.01386876842240159, "alpha_spy_p1w": -0.013437999581794369, "alpha_c_p1w": -0.005985931563630031, "bench_spy_p1w": -0.00043076884060722076, "bench_c_p1w": -0.007882836858771558, "ret_p1m": 0.03611694220171735, "ret_signed_p1m": 0.03611694220171735, "alpha_spy_p1m": 0.030499656000744002, "alpha_c_p1m": 0.04333741908069766, "bench_spy_p1m": 0.005617286200973348, "bench_c_p1m": -0.007220476878980309, "ret_p3m": 0.09016506471869801, "ret_signed_p3m": 0.09016506471869801, "alpha_spy_p3m": 0.06484048230654516, "alpha_c_p3m": 0.10025668659050047, "bench_spy_p3m": 0.025324582412152852, "bench_c_p3m": -0.010091621871802459, "ret_p6m": 0.23762975778546713, "ret_signed_p6m": 0.23762975778546713, "alpha_spy_p6m": 0.1457746966946789, "alpha_c_p6m": 0.16498121148285838, "bench_spy_p6m": 0.09185506109078823, "bench_c_p6m": 0.07264854630260875, "price_path": [0.0381, 0.0204, -0.0128, -0.0173, -0.021, -0.0125, -0.0082, 0.0161, 0.0155, 0.0118, 0.0104, -0.0236, -0.0208, -0.0285, -0.0239, -0.0368, -0.0293, -0.0308, -0.0302, -0.0459, -0.0459, -0.0313, -0.0373, -0.0345, -0.0256, -0.0356, -0.031, -0.0288, -0.0176, -0.013, -0.0102, -0.0228, -0.0513, -0.0433, -0.0528, -0.035, -0.0293, -0.021, -0.0219, -0.0253, -0.0393, -0.0336, -0.045, -0.0736, -0.0722, -0.065, -0.0593, -0.0508, -0.0513, -0.0685, -0.055, -0.055, -0.0419, -0.0305, -0.0162, -0.0156, -0.0153, -0.0162, -0.0078, -0.0144, -0.0078, 0.002, -0.0029, 0.0, -0.0003, -0.0092, -0.0075, -0.0061, -0.0139, -0.0121, -0.0118, -0.0026, -0.0116, -0.0009, 0.0072, 0.0092, 0.0277, 0.0277, 0.0116, 0.0075, 0.0095, 0.0168, 0.0228, 0.0257, 0.0361, 0.0503, 0.0511, 0.0526, 0.0537, 0.052, 0.0422, 0.035, 0.0277, 0.0292, 0.0384, 0.0335, 0.0396, 0.0043, 0.0061, 0.0046, 0.0191, 0.0199, 0.0225, 0.0194, 0.0078, 0.0092, 0.0248, 0.0269, 0.0329, 0.0113, 0.0064, 0.0087, 0.0199, 0.0254, 0.0263, 0.0286, 0.026, 0.0263, 0.035, 0.0558, 0.0795, 0.0795, 0.0757, 0.0884, 0.0773, 0.0799, 0.0902, 0.1059, 0.1153, 0.1322, 0.1348, 0.1264, 0.1296, 0.1348, 0.1412, 0.1506, 0.1763, 0.1751, 0.1844, 0.1844, 0.1786, 0.2303, 0.2682, 0.2778, 0.2799, 0.3114, 0.3231, 0.3196, 0.3272, 0.3102, 0.3391, 0.3356, 0.314, 0.317, 0.3237, 0.3313, 0.3178, 0.3567, 0.317, 0.3207, 0.3029, 0.2659, 0.2545, 0.2589, 0.2434, 0.2358, 0.23, 0.2171, 0.2291, 0.2291, 0.2452, 0.2717, 0.2551, 0.251, 0.2726, 0.2808, 0.3099, 0.3126, 0.2927, 0.2927, 0.2977, 0.2892, 0.3111, 0.2787, 0.2577, 0.2489, 0.2565, 0.2492, 0.2303, 0.2376]}
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{"unit_id": "quote:915322252551426048", "ticker_idx": 0, "ts": "2017-10-03T21:06:45+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Our research suggests that $TSLA has a better shot.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish TSLA over Waymo on autonomous taxi opportunity; research suggests Tesla better positioned to capture robotaxi market.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "#Uber, #Lyft* and #Didi have taught us that delighting the customer causes business to boom.  Will Waymo delight?  Our research suggests that $TSLA has a better shot.  *I did not add that emoji and can't get rid of it.  Clever, Lyft. https://t.co/aIry9x8Lo1", "reply_text": null, "parent_text": null, "quoted_text": "If #Waymo launches #autonomous taxi service with no driver this fall, that will be huge. https://t.co/w7VcmuZhWf", "parent_author": null, "ret_m1d": -0.01898659434805383, "ret_signed_m1d": -0.01898659434805383, "alpha_spy_m1d": -0.016851174788553358, "alpha_c_m1d": -0.01479394786100352, "bench_spy_m1d": -0.0021354195595004732, "bench_c_m1d": -0.004192646487050311, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.019733448385671926, "ret_signed_p1d": 0.019733448385671926, "alpha_spy_p1d": 0.018547142469936828, "alpha_c_p1d": 0.014547481822967168, "bench_spy_p1d": 0.0011863059157350975, "bench_c_p1d": 0.005185966562704758, "ret_p1w": 0.02139940624775294, "ret_signed_p1w": 0.02139940624775294, "alpha_spy_p1w": 0.014439170615629937, "alpha_c_p1w": 0.013565226234709904, "bench_spy_p1w": 0.006960235632123002, "bench_c_p1w": 0.007834180013043035, "ret_p1m": -0.07772738759283804, "ret_signed_p1m": -0.07772738759283804, "alpha_spy_p1m": -0.09603791431266473, "alpha_c_p1m": -0.09306445804568508, "bench_spy_p1m": 0.018310526719826692, "bench_c_p1m": 0.015337070452847046, "ret_p3m": -0.10567590167134067, "ret_signed_p3m": -0.10567590167134067, "alpha_spy_p3m": -0.16643722960075147, "alpha_c_p3m": -0.198315183196337, "bench_spy_p3m": 0.0607613279294108, "bench_c_p3m": 0.09263928152499634, "ret_p6m": -0.2595507617081163, "ret_signed_p6m": -0.2595507617081163, "alpha_spy_p6m": -0.29650431157782586, "alpha_c_p6m": -0.3687315702851055, "bench_spy_p6m": 0.03695354986970956, "bench_c_p6m": 0.1091808085769892, "price_path": [-0.1129, -0.1003, -0.0922, -0.0601, -0.0535, -0.071, -0.0585, -0.0821, -0.0572, -0.0657, -0.0523, -0.0567, -0.0161, -0.0245, -0.0123, -0.0393, -0.0375, -0.0709, -0.0821, -0.0639, -0.003, 0.0252, 0.0202, 0.0491, 0.0442, 0.0209, 0.0279, 0.045, 0.0408, 0.0424, 0.0109, -0.002, -0.0295, -0.0195, 0.0133, 0.0138, -0.0003, -0.0071, -0.0022, 0.0145, 0.0223, 0.0209, 0.0209, 0.0042, -0.0104, 0.0071, -0.0136, 0.0447, 0.042, 0.052, 0.0847, 0.091, 0.1059, 0.0774, 0.074, 0.0527, 0.0085, -0.009, -0.0083, -0.0206, -0.0245, -0.0202, -0.019, 0.0, 0.0197, 0.0207, 0.0251, -0.0149, 0.0214, 0.0186, 0.0217, 0.0213, 0.0071, 0.0219, 0.0331, 0.0105, -0.0087, -0.0319, -0.031, -0.0641, -0.0631, -0.0783, -0.0806, -0.0477, -0.0777, -0.1404, -0.1208, -0.1303, -0.1209, -0.1257, -0.1297, -0.1297, -0.094, -0.1133, -0.1058, -0.1024, -0.095, -0.1132, -0.0871, -0.1021, -0.1021, -0.0936, -0.09, -0.0879, -0.1166, -0.1129, -0.1195, -0.1233, -0.1276, -0.1002, -0.106, -0.0948, -0.0552, -0.0204, -0.0262, -0.0294, -0.0135, -0.0266, -0.0489, -0.055, -0.0473, -0.0659, -0.0659, -0.0886, -0.1048, -0.0942, -0.1057, -0.1057, -0.0793, -0.0887, -0.0963, -0.0907, -0.0337, -0.0415, -0.0383, -0.0293, -0.0342, -0.0342, -0.0232, -0.0028, -0.0103, 0.0054, 0.0098, 0.0134, -0.0065, -0.0302, -0.0152, 0.004, -0.0067, 0.0177, 0.0032, -0.0126, -0.0431, -0.0407, -0.009, -0.0945, -0.1083, -0.0931, -0.0703, -0.0742, -0.0404, -0.0363, -0.0363, -0.0384, -0.0426, -0.0057, 0.0112, 0.0267, 0.0082, -0.0146, -0.0494, -0.0374, -0.0425, -0.0573, -0.0455, -0.0547, -0.0602, -0.0076, -0.0181, -0.0618, -0.0647, -0.077, -0.0993, -0.108, -0.0908, -0.1121, -0.1339, -0.1263, -0.1981, -0.2596]}
{"unit_id": "quote:1626799541935648769", "ticker_idx": 0, "ts": "2023-02-18T04:23:29+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "passing along the lower costs associated with technologically-enabled innovation, in #Tesla's case batteries and drivetrains, will cause a boom in unit demand", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish TSLA: price cuts reflect tech-driven cost reduction that will drive a boom in unit demand, rebutting Munger's BYD-over-Tesla preference.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "Charlie Munger and many on Wall Street do not understand that passing along the lower costs associated with technologically-enabled innovation, in #Tesla’s case batteries and drivetrains, will cause a boom in unit demand, discrediting the Keynesian/Fed’s Phillips Curve model.", "reply_text": null, "parent_text": null, "quoted_text": "Charlie Munger on why he prefers an investment in BYD over $TSLA: \"That's easy, Tesla last year reduced its prices in China twice while BYD increased its prices. BYD is so ahead of Tesla in China it's almost ridiculous. If you count all the manufacturing space BYD has in China to https://t.co/iIsQIbJvfQ", "parent_author": null, "ret_m1d": 0.0, "ret_signed_m1d": 0.0, "alpha_spy_m1d": 0.0, "alpha_c_m1d": 0.0, "bench_spy_m1d": 0.0, "bench_c_m1d": 0.0, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.05251789433835996, "ret_signed_p1d": -0.05251789433835996, "alpha_spy_p1d": -0.03245691057357358, "alpha_c_p1d": -0.019111445530598403, "bench_spy_p1d": -0.020060983764786378, "bench_c_p1d": -0.03340644880776156, "ret_p1w": -0.003264330487018463, "ret_signed_p1w": -0.003264330487018463, "alpha_spy_p1w": 0.020136072897862678, "alpha_c_p1w": 0.02947794355944644, "bench_spy_p1w": -0.02340040338488114, "bench_c_p1w": -0.0327422740464649, "ret_p1m": -0.05150974918772644, "ret_signed_p1m": -0.05150974918772644, "alpha_spy_p1m": -0.03474503725898215, "alpha_c_p1m": -0.020320098230522055, "bench_spy_p1m": -0.01676471192874429, "bench_c_p1m": -0.031189650957204385, "ret_p3m": -0.15083288626177171, "ret_signed_p3m": -0.15083288626177171, "alpha_spy_p3m": -0.18415305899986045, "alpha_c_p3m": -0.1689396694381916, "bench_spy_p3m": 0.03332017273808874, "bench_c_p3m": 0.018106783176419894, "ret_p6m": 0.1183332986614809, "ret_signed_p6m": 0.1183332986614809, "alpha_spy_p6m": 0.02264097175229507, "alpha_c_p6m": -0.0025485912532190458, "bench_spy_p6m": 0.09569232690918583, "bench_c_p6m": 0.12088188991469995, "price_path": [-0.1205, -0.1205, -0.1222, -0.1219, -0.1319, -0.0653, -0.0653, -0.0646, -0.1241, -0.1368, -0.1645, -0.1674, -0.1405, -0.1944, -0.2274, -0.2473, -0.2431, -0.2788, -0.2805, -0.3385, -0.3396, -0.3983, -0.4088, -0.4088, -0.4763, -0.4589, -0.4152, -0.4087, -0.4087, -0.4811, -0.4545, -0.4703, -0.4573, -0.425, -0.4295, -0.4085, -0.4068, -0.4124, -0.4124, -0.3688, -0.3818, -0.3895, -0.3595, -0.3099, -0.3093, -0.3067, -0.2306, -0.146, -0.1999, -0.1685, -0.1291, -0.0962, -0.088, -0.065, -0.0552, -0.0337, -0.0048, -0.0548, -0.0656, 0.0045, 0.0285, -0.0301, 0.0, 0.0, -0.0525, -0.0358, -0.03, -0.0549, -0.0033, -0.0125, -0.0266, -0.0836, -0.0505, -0.0696, -0.0989, -0.1263, -0.1699, -0.1674, -0.1624, -0.1203, -0.1337, -0.1161, -0.1353, -0.1203, -0.0515, -0.0824, -0.0772, -0.0859, -0.0792, -0.0918, -0.0693, -0.0626, -0.0041, -0.065, -0.0755, -0.1094, -0.1116, -0.1116, -0.1143, -0.1033, -0.1333, -0.1076, -0.1119, -0.1021, -0.1152, -0.1331, -0.2176, -0.2075, -0.2197, -0.2287, -0.2619, -0.231, -0.2112, -0.2231, -0.2304, -0.229, -0.2262, -0.1836, -0.1753, -0.188, -0.1909, -0.1739, -0.1936, -0.2014, -0.2006, -0.1654, -0.1508, -0.1352, -0.0933, -0.1082, -0.122, -0.1144, -0.0727, -0.0727, -0.0343, -0.021, -0.0038, 0.0272, 0.0446, 0.0624, 0.0781, 0.1275, 0.1733, 0.1993, 0.2419, 0.2327, 0.2285, 0.2507, 0.2507, 0.3175, 0.2455, 0.2703, 0.2318, 0.1572, 0.2011, 0.2301, 0.2361, 0.2566, 0.3433, 0.3433, 0.3561, 0.3275, 0.3174, 0.2943, 0.2951, 0.3057, 0.3341, 0.3508, 0.394, 0.4082, 0.3982, 0.2621, 0.2482, 0.2916, 0.2735, 0.269, 0.2275, 0.2791, 0.2838, 0.2533, 0.2199, 0.2449, 0.2187, 0.2071, 0.1987, 0.1626, 0.1778, 0.1649, 0.151, 0.1183]}
{"unit_id": "quote:960355859061772288", "ticker_idx": 0, "ts": "2018-02-05T03:34:14+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": false, "explicit_audit": "kept_implicit_alias_present", "polarity_reversed": false, "quote": "one of the most important investment opportunities of this generation", "tweet_type": "analysis", "timeline": "years", "summary": "Bullish BTC long-term; calls it one of the most important investment opportunities of this generation, urging regulatory clarity for institutional participation.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Regulatory clarity is critical.  We hope the Senate Banking Committee offers the SEC and the CFTC enough perspective that institutional investors will have an opportunity to participate in one of the most important investment opportunities of this generation! https://t.co/9Xxw0SUpjH", "reply_text": null, "parent_text": null, "quoted_text": "If you didn't HODL as #bitcoin hit long term support at $7900 then you got PWND... https://t.co/HR1FoTKi9H", "parent_author": null, "ret_m1d": 0.2696487663602092, "ret_signed_m1d": 0.2696487663602092, "alpha_spy_m1d": 0.22600095799251974, "alpha_c_m1d": null, "bench_spy_m1d": 0.043647808367689445, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.11483809805022926, "ret_signed_p1d": 0.11483809805022926, "alpha_spy_p1d": 0.09513592081937472, "alpha_c_p1d": null, "bench_spy_p1d": 0.019702177230854545, "bench_c_p1d": null, "ret_p1w": 0.28342541517915154, "ret_signed_p1w": 0.28342541517915154, "alpha_spy_p1w": 0.27808324676323615, "alpha_c_p1w": null, "bench_spy_p1w": 0.005342168415915394, "bench_c_p1w": null, "ret_p1m": 0.5498895600535594, "ret_signed_p1m": 0.5498895600535594, "alpha_spy_p1m": 0.5159791065669783, "alpha_c_p1m": null, "bench_spy_p1m": 0.03391045348658106, "bench_c_p1m": null, "ret_p3m": 0.4009320018059035, "ret_signed_p3m": 0.4009320018059035, "alpha_spy_p3m": 0.40191018417464575, "alpha_c_p3m": null, "bench_spy_p3m": -0.000978182368742253, "bench_c_p3m": null, "ret_p6m": 0.11863952363572117, "ret_signed_p6m": 0.11863952363572117, "alpha_spy_p6m": 0.043638513727453754, "alpha_c_p6m": null, "bench_spy_p6m": 0.07500100990826741, "bench_c_p6m": null, "price_path": [0.0725, 0.0271, -0.0485, -0.0569, -0.0459, 0.0518, 0.1318, 0.1084, 0.1791, 0.1605, 0.1867, 0.1558, 0.1867, 0.4116, 0.4462, 0.4217, 0.4713, 0.578, 0.676, 0.7133, 1.0548, 1.5735, 1.3823, 1.4351, 1.5039, 1.3591, 1.3815, 1.5458, 1.7482, 1.5559, 1.3902, 1.2721, 0.9887, 1.0167, 1.3148, 1.2772, 1.1001, 1.1072, 0.9636, 1.1541, 1.1855, 1.2428, 1.5059, 1.1811, 1.0985, 1.1528, 0.9274, 1.0101, 0.987, 0.6521, 0.6087, 0.6498, 0.6689, 0.5717, 0.5626, 0.6332, 0.6188, 0.6062, 0.6241, 0.453, 0.4695, 0.3185, 0.2696, 0.0, 0.1148, 0.0958, 0.1884, 0.2562, 0.2834, 0.2362, 0.3651, 0.4617, 0.4714, 0.6139, 0.6396, 0.537, 0.4385, 0.481, 0.4905, 0.5421, 0.495, 0.5745, 0.594, 0.664, 0.5499, 0.4328, 0.3508, 0.3425, 0.3235, 0.322, 0.189, 0.1935, 0.1989, 0.2409, 0.2815, 0.2838, 0.2549, 0.2767, 0.1803, 0.1262, 0.1437, 0.0303, -0.0093, 0.0185, 0.072, -0.0146, -0.0207, -0.0459, -0.0265, -0.0173, 0.0019, 0.1343, 0.1352, 0.1586, 0.1361, 0.1737, 0.1925, 0.2718, 0.284, 0.3943, 0.2718, 0.3345, 0.2921, 0.3286, 0.3111, 0.3279, 0.4009, 0.3947, 0.3476, 0.3277, 0.3407, 0.3003, 0.2137, 0.2533, 0.2236, 0.2032, 0.1638, 0.1863, 0.2104, 0.1562, 0.0866, 0.0909, 0.0755, 0.026, 0.0744, 0.0649, 0.0775, 0.0843, 0.0804, 0.0976, 0.1005, 0.1039, 0.0963, -0.007, -0.0536, -0.087, -0.0402, -0.0717, -0.0317, -0.0266, -0.0257, -0.0324, -0.1253, -0.1015, -0.1239, -0.1148, -0.1512, -0.106, -0.049, -0.0612, -0.0514, -0.0455, -0.0405, -0.0307, -0.0899, -0.0806, -0.1044, -0.1031, -0.0307, 0.0526, 0.0597, 0.0736, 0.0573, 0.1087, 0.2112, 0.1763, 0.1432, 0.1739, 0.1762, 0.1186]}
{"unit_id": "quote:1088423982179733504", "ticker_idx": 0, "ts": "2019-01-24T13:11:13+00:00", "symbol": "EDIT", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "this management change suggests that #Editas is ready to scale from the lab into the clinic which, in our view, is very good news!", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish EDIT: management change seen as positive signal that Editas is ready to move from lab to clinic.", "resolved_tickers": ["EDIT"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLV", "bench_c_reason": "industry='Biotechnology'", "bench_c_industry": "Biotechnology", "unit_kind": "quote", "lang": "en", "tweet_text": "We respect Katrine Boswell enormously and, while she raised the profile and credibility of #gene-editing and $EDIT enormously in the last five years, this management change suggests that #Editas is ready to scale from the lab into the clinic which, in our view, is very good news!", "reply_text": null, "parent_text": null, "quoted_text": "@ukladinla @CathieDWood @CNBCFastMoney Great questions. This is not a buy or sell recommendation, but it is of my belief that one should look at the data that is being produced rather than getting distracted by a management shuffle. Management is very important, of course! But the replacement is also impressive.", "parent_author": null, "ret_m1d": -0.057665238942139596, "ret_signed_m1d": -0.057665238942139596, "alpha_spy_m1d": -0.05713409185874585, "alpha_c_m1d": -0.06611018296339155, "bench_spy_m1d": -0.0005311470833937459, "bench_c_m1d": 0.008444944021251954, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.006094662973820331, "ret_signed_p1d": 0.006094662973820331, "alpha_spy_p1d": -0.002366442928890544, "alpha_c_p1d": 0.004856071184036637, "bench_spy_p1d": 0.008461105902710875, "bench_c_p1d": 0.001238591789783694, "ret_p1w": 0.018752912328223514, "ret_signed_p1w": 0.018752912328223514, "alpha_spy_p1w": -0.005454690524555383, "alpha_c_p1w": -0.0021907433164218837, "bench_spy_p1w": 0.024207602852778898, "bench_c_p1w": 0.020943655644645398, "ret_p1m": -0.06844815235325064, "ret_signed_p1m": -0.06844815235325064, "alpha_spy_p1m": -0.1276015279162629, "alpha_c_p1m": -0.11056066214977467, "bench_spy_p1m": 0.059153375563012256, "bench_c_p1m": 0.042112509796524034, "ret_p3m": 0.2864510376092846, "ret_signed_p3m": 0.2864510376092846, "alpha_spy_p3m": 0.1702677774055057, "alpha_c_p3m": 0.29945362603081416, "bench_spy_p3m": 0.1161832602037789, "bench_c_p3m": -0.01300258842152957, "ret_p6m": 0.1181434817992173, "ret_signed_p6m": 0.1181434817992173, "alpha_spy_p6m": -0.019897371726000257, "alpha_c_p6m": 0.07665396286445669, "bench_spy_p6m": 0.13804085352521756, "bench_c_p6m": 0.041489518934760605, "price_path": [0.1744, 0.158, 0.1875, 0.2874, 0.3127, 0.3033, 0.2696, 0.3418, 0.4055, 0.3572, 0.3216, 0.3586, 0.2611, 0.3165, 0.3577, 0.2729, 0.1983, 0.3113, 0.3113, 0.3141, 0.3483, 0.2855, 0.3769, 0.4116, 0.4609, 0.4904, 0.4294, 0.4294, 0.3919, 0.331, 0.3591, 0.3877, 0.421, 0.3568, 0.3338, 0.2958, 0.2335, 0.1697, 0.0764, -0.1472, -0.0844, -0.0844, -0.0347, -0.0474, -0.0286, 0.0666, 0.0666, 0.0942, 0.0295, 0.0877, 0.1688, 0.1932, 0.2377, 0.2382, 0.2283, 0.1716, 0.2377, 0.2311, 0.2288, 0.2255, 0.2255, -0.0178, -0.0577, 0.0, 0.0061, -0.0314, -0.0488, -0.0023, 0.0188, 0.0127, 0.0272, -0.0089, -0.0108, -0.0891, -0.0741, -0.0638, -0.0488, -0.0647, -0.0689, -0.0586, -0.0586, -0.052, -0.0366, -0.075, -0.0684, -0.0188, -0.0286, -0.0178, -0.0328, 0.1083, 0.1167, 0.1083, 0.0609, 0.0717, 0.0595, 0.1177, 0.1378, 0.1355, 0.1224, 0.1388, 0.1238, 0.1303, 0.1308, 0.1599, 0.06, 0.0689, 0.0872, 0.0759, 0.1078, 0.1463, 0.1585, 0.2199, 0.2541, 0.2504, 0.2883, 0.2775, 0.2504, 0.2972, 0.195, 0.2232, 0.2443, 0.2761, 0.2058, 0.2096, 0.2096, 0.2339, 0.2865, 0.2663, 0.2733, 0.3015, 0.2316, 0.1603, 0.0886, 0.1252, 0.1758, 0.2124, 0.1571, 0.1782, 0.1514, 0.1463, 0.0441, 0.0544, 0.0614, 0.0872, 0.0549, 0.0056, 0.0778, 0.0314, -0.007, 0.0183, 0.0183, 0.0047, -0.0084, -0.0047, -0.0366, -0.0267, -0.0234, -0.0398, -0.0352, 0.0506, 0.0338, 0.0103, 0.0192, 0.0553, 0.0188, 0.06, 0.0778, 0.0642, 0.0506, 0.0703, 0.0216, 0.0703, 0.0459, 0.0975, 0.1599, 0.1364, 0.1219, 0.1524, 0.1524, 0.128, 0.1238, 0.1477, 0.1692, 0.1617, 0.165, 0.1861, 0.1406, 0.128, 0.1566, 0.1181]}
{"unit_id": "quote:816613641273442304", "ticker_idx": 0, "ts": "2017-01-04T11:53:58+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Good market for #bitcoin: according to Bluepan, the #remittance market in the SKorea/Phillipine's corridor already is 20% bitcoin", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bitcoin gaining remittance market share (20% in SKorea/Philippines corridor) signals growing adoption; implied bullish.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Good market for #bitcoin:  according to Bluepan, the #remittance market in the SKorea/Phillipine's corridor already is 20% bitcoin. https://t.co/HsHUqB6tM6", "reply_text": null, "parent_text": null, "quoted_text": "Migrants sent half a trillion dollars home last year. These maps show where the money went https://t.co/yTbDd3vkN7 #migration https://t.co/SnQKgrMK50", "parent_author": null, "ret_m1d": -0.09603112114870604, "ret_signed_m1d": -0.09603112114870604, "alpha_spy_m1d": -0.09011706201185865, "alpha_c_m1d": null, "bench_spy_m1d": -0.005914059136847394, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.12240954853233998, "ret_signed_p1d": -0.12240954853233998, "alpha_spy_p1d": -0.12161519369331575, "alpha_c_p1d": null, "bench_spy_p1d": -0.0007943548390242361, "bench_c_p1d": null, "ret_p1w": -0.3264598371930667, "ret_signed_p1w": -0.3264598371930667, "alpha_spy_p1w": -0.3287546833948469, "alpha_c_p1w": null, "bench_spy_p1w": 0.0022948462017802207, "bench_c_p1w": null, "ret_p1m": -0.12377784858219443, "ret_signed_p1m": -0.12377784858219443, "alpha_spy_p1m": -0.1290296073519802, "alpha_c_p1m": null, "bench_spy_p1m": 0.005251758769785786, "bench_c_p1m": null, "ret_p3m": -0.009456688628251553, "ret_signed_p3m": -0.009456688628251553, "alpha_spy_p3m": -0.05259255879585145, "alpha_c_p3m": null, "bench_spy_p3m": 0.0431358701675999, "bench_c_p3m": null, "ret_p6m": 1.199059616801987, "ret_signed_p6m": 1.199059616801987, "alpha_spy_p6m": 1.124021788616789, "alpha_c_p6m": null, "bench_spy_p6m": 0.075037828185198, "bench_c_p6m": null, "price_path": [-0.4656, -0.4639, -0.4448, -0.4491, -0.4485, -0.4454, -0.4465, -0.4475, -0.454, -0.4537, -0.452, -0.4338, -0.4305, -0.4126, -0.4039, -0.4028, -0.393, -0.368, -0.3584, -0.4036, -0.391, -0.3911, -0.3853, -0.3736, -0.3803, -0.3796, -0.3894, -0.3837, -0.3555, -0.3583, -0.3491, -0.3598, -0.3493, -0.3552, -0.3589, -0.3577, -0.3628, -0.363, -0.3542, -0.3446, -0.3263, -0.343, -0.3382, -0.3348, -0.3325, -0.3308, -0.3244, -0.324, -0.3232, -0.3262, -0.3203, -0.3135, -0.3064, -0.2775, -0.2513, -0.2016, -0.214, -0.1918, -0.1548, -0.1569, -0.1676, -0.1152, -0.096, 0.0, -0.1224, -0.2187, -0.2181, -0.2139, -0.3265, -0.303, -0.2864, -0.2799, -0.2137, -0.2322, -0.2214, -0.2249, -0.2024, -0.2269, -0.2193, -0.2054, -0.2035, -0.2029, -0.1596, -0.1435, -0.1238, -0.1081, -0.101, -0.0809, -0.0794, -0.1389, -0.1438, -0.1421, -0.1301, -0.1275, -0.1102, -0.094, -0.0647, -0.0341, -0.0323, 0.0104, 0.0164, 0.0219, 0.0219, 0.0587, 0.0834, 0.1041, 0.1023, 0.0596, -0.0041, 0.0292, -0.0329, 0.0668, 0.0738, 0.0822, 0.0286, -0.0472, -0.087, -0.0296, -0.0914, -0.1006, -0.1881, -0.0944, -0.0932, -0.0994, -0.1111, -0.0718, -0.0095, -0.0186, -0.0259, 0.0242, 0.0192, 0.0281, 0.0435, 0.0395, 0.0126, 0.0111, 0.0339, 0.0493, 0.0481, 0.0644, 0.0583, 0.0826, 0.0959, 0.1094, 0.1412, 0.1401, 0.2311, 0.2581, 0.2904, 0.3316, 0.347, 0.4924, 0.5201, 0.5477, 0.6009, 0.4932, 0.5055, 0.502, 0.5927, 0.6356, 0.7214, 0.8822, 1.0095, 1.1162, 0.9961, 0.9073, 0.9534, 0.884, 0.98, 1.0852, 1.1551, 1.3268, 1.4795, 1.3661, 1.4297, 1.4454, 1.3032, 1.3529, 1.1705, 1.1343, 1.1811, 1.2426, 1.3571, 1.3288, 1.3429, 1.3771, 1.1463, 1.2104, 1.2298, 1.1991]}
{"unit_id": "quote:1266794779125440512", "ticker_idx": 0, "ts": "2020-05-30T18:13:05+00:00", "symbol": "S&P500", "kind": "index", "geography": "US", "sub_sector": null, "direction": "long", "conviction": "high", "explicit": false, "explicit_audit": "kept_implicit", "polarity_reversed": false, "quote": "A gobsmacking V-shaped recovery seems likely thanks to the record-breaking 33% consumer saving rate combined with a Q1 inventory drawdown that was 4 times the original report and the 3.6% retail inventory drawdown (not annualized) in April alone. Buckle up!", "tweet_type": "prediction", "timeline": "months", "summary": "Bullish on US economy/equities: expects a gobsmacking V-shaped recovery driven by record savings rate and inventory drawdowns.", "resolved_tickers": ["SPY"], "resolution_method": "etf", "resolution_reason": "S&P 500 index; SPY ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Yes. A gobsmacking V-shaped recovery seems likely thanks to the record-breaking 33% consumer saving rate combined with a Q1 inventory drawdown that was 4 times the original report and the 3.6% retail inventory drawdown (not annualized) in April alone. Buckle up!", "reply_text": null, "parent_text": null, "quoted_text": "April savings rate was 33% next highest month was May 1975 @ 17.3% 🤯🤯🤯....helps explains record breaking brokerage account openings. Signal that consumers are chomping at the bit to spend @CathieDWood??", "parent_author": null, "ret_m1d": -0.004025343759011313, "ret_signed_m1d": -0.004025343759011313, "alpha_spy_m1d": 0.0, "alpha_c_m1d": 0.0, "bench_spy_m1d": -0.004025343759011313, "bench_c_m1d": -0.004025343759011313, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.00828005214432559, "ret_signed_p1d": 0.00828005214432559, "alpha_spy_p1d": 0.0, "alpha_c_p1d": 0.0, "bench_spy_p1d": 0.00828005214432559, "bench_c_p1d": 0.00828005214432559, "ret_p1w": 0.05776446523708012, "ret_signed_p1w": 0.05776446523708012, "alpha_spy_p1w": 0.0, "alpha_c_p1w": 0.0, "bench_spy_p1w": 0.05776446523708012, "bench_c_p1w": 0.05776446523708012, "ret_p1m": 0.013637688204486853, "ret_signed_p1m": 0.013637688204486853, "alpha_spy_p1m": 0.0, "alpha_c_p1m": 0.0, "bench_spy_p1m": 0.013637688204486853, "bench_c_p1m": 0.013637688204486853, "ret_p3m": 0.14502613409453557, "ret_signed_p3m": 0.14502613409453557, "alpha_spy_p3m": 0.0, "alpha_c_p3m": 0.0, "bench_spy_p3m": 0.14502613409453557, "bench_c_p3m": 0.14502613409453557, "ret_p6m": 0.19875232597026882, "ret_signed_p6m": 0.19875232597026882, "alpha_spy_p6m": 0.0, "alpha_c_p6m": 0.0, "bench_spy_p6m": 0.19875232597026882, "bench_c_p6m": 0.19875232597026882, "price_path": [0.0179, -0.0159, -0.0322, -0.1078, -0.0616, -0.1073, -0.1927, -0.1237, -0.2196, -0.1775, -0.2191, -0.2175, -0.2512, -0.2703, -0.2042, -0.1923, -0.1451, -0.1706, -0.1437, -0.1564, -0.1944, -0.1758, -0.1877, -0.1332, -0.1323, -0.1032, -0.0895, -0.0895, -0.0978, -0.0712, -0.091, -0.0866, -0.0619, -0.0784, -0.1064, -0.0866, -0.0866, -0.0739, -0.0605, -0.0649, -0.0404, -0.0493, -0.0745, -0.0719, -0.0634, -0.0697, -0.0585, -0.0429, -0.0427, -0.0618, -0.0784, -0.0674, -0.0631, -0.0345, -0.0444, -0.0282, -0.0349, -0.0331, -0.0331, -0.0212, -0.0066, -0.0084, -0.004, 0.0, 0.0083, 0.0217, 0.019, 0.0451, 0.0578, 0.0499, 0.044, -0.0162, -0.0044, 0.0049, 0.0243, 0.02, 0.0204, 0.0146, 0.0211, 0.0258, -0.0004, 0.0103, -0.0137, 0.0008, 0.0136, 0.0207, 0.0264, 0.0264, 0.0422, 0.0315, 0.0393, 0.0334, 0.044, 0.0349, 0.0484, 0.058, 0.0545, 0.0576, 0.0661, 0.0684, 0.0745, 0.0616, 0.0548, 0.0625, 0.0557, 0.0687, 0.0649, 0.0733, 0.0808, 0.085, 0.0917, 0.099, 0.0998, 0.1031, 0.094, 0.1092, 0.1072, 0.1073, 0.1108, 0.1132, 0.1085, 0.112, 0.1159, 0.1272, 0.1312, 0.1425, 0.145, 0.1524, 0.1482, 0.1591, 0.1758, 0.1354, 0.1261, 0.1261, 0.0953, 0.117, 0.0976, 0.0981, 0.1126, 0.1182, 0.1138, 0.104, 0.0913, 0.0791, 0.0901, 0.0648, 0.0677, 0.0849, 0.1029, 0.0969, 0.1053, 0.1123, 0.1018, 0.1213, 0.1054, 0.1246, 0.1346, 0.1447, 0.1631, 0.1556, 0.1483, 0.1469, 0.1462, 0.1288, 0.1333, 0.1311, 0.1373, 0.1412, 0.1201, 0.1162, 0.0781, 0.089, 0.0777, 0.0898, 0.109, 0.1338, 0.1559, 0.1556, 0.1702, 0.1685, 0.1771, 0.1657, 0.1819, 0.1966, 0.1902, 0.1758, 0.1808, 0.1727, 0.1797, 0.1988]}
{"unit_id": "quote:2022719412281692324", "ticker_idx": 0, "ts": "2026-02-14T17:07:42+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "we project that @Tesla's Optimus will begin to transform factory life, then home life, in 2028/2029", "tweet_type": "prediction", "timeline": "years", "summary": "Bullish TSLA: ARK projects Optimus transforms factory then home life by 2028/2029 on first-principles approach.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "According to @ARKInvest’s research, humanoid robots are 200,000 times more complex than robotaxis to develop. Given Elon’s first principle’s approach and dogged determination, we project that @Tesla’s Optimus will begin to transform factory life, then home life, in 2028/2029.", "reply_text": null, "parent_text": null, "quoted_text": "Elon Musk on why Optimus is so brutally hard to build (hardware side):\n\n“The hands are the majority of the engineering difficulty of the entire robot.”\n\nHuman hands evolved insane sophistication — ~27–28 degrees of freedom, complex tendon web (mostly forearm muscles), crazy https://t.co/5eFfexzyHA", "parent_author": null, "ret_m1d": 0.0, "ret_signed_m1d": 0.0, "alpha_spy_m1d": 0.0, "alpha_c_m1d": 0.0, "bench_spy_m1d": 0.0, "bench_c_m1d": 0.0, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.016313715788533356, "ret_signed_p1d": -0.016313715788533356, "alpha_spy_p1d": -0.01792718225925838, "alpha_c_p1d": -0.015108708305682339, "bench_spy_p1d": 0.0016134664707250224, "bench_c_p1d": -0.0012050074828510171, "ret_p1w": -0.04218574110326778, "ret_signed_p1w": -0.04218574110326778, "alpha_spy_p1w": -0.043124573371160935, "alpha_c_p1w": -0.03194301299738456, "bench_spy_p1w": 0.0009388322678931527, "bench_c_p1w": -0.010242728105883225, "ret_p1m": -0.043527245404050174, "ret_signed_p1m": -0.043527245404050174, "alpha_spy_p1m": -0.02745093229119011, "alpha_c_p1m": -0.01770522408147801, "bench_spy_p1m": -0.016076313112860063, "bench_c_p1m": -0.025822021322572164, "ret_p3m": 0.0619489871605976, "ret_signed_p3m": 0.0619489871605976, "alpha_spy_p3m": -0.0384738374695206, "alpha_c_p3m": 0.03846486328059062, "bench_spy_p3m": 0.1004228246301182, "bench_c_p3m": 0.02348412388000698, "ret_p6m": null, "ret_signed_p6m": null, "alpha_spy_p6m": null, "alpha_c_p6m": null, "bench_spy_p6m": null, "bench_c_p6m": null, "price_path": [-0.0322, -0.0532, -0.0631, 0.0008, 0.0047, 0.0219, 0.0219, 0.0305, 0.0304, 0.0283, 0.0702, 0.0889, 0.09, 0.053, 0.0664, 0.0815, 0.0705, 0.0995, 0.1386, 0.1735, 0.1193, 0.1579, 0.1527, 0.1708, 0.1632, 0.1628, 0.1628, 0.1383, 0.1011, 0.0886, 0.0773, 0.0773, 0.0494, 0.082, 0.0372, 0.0335, 0.044, 0.066, 0.0755, 0.0713, 0.0521, 0.0506, 0.0481, 0.0481, 0.0043, 0.0335, 0.0765, 0.0757, 0.0425, 0.0322, 0.0336, -0.0021, 0.0311, 0.0105, 0.0108, -0.0274, -0.0485, -0.0152, -0.0003, 0.0186, 0.0259, -0.0009, 0.0, 0.0, -0.0163, -0.0147, -0.0137, -0.0135, -0.0422, -0.0193, -0.0001, -0.0212, -0.0358, -0.0338, -0.0599, -0.0275, -0.0285, -0.0496, -0.0449, -0.0436, -0.023, -0.0537, -0.0629, -0.0524, -0.0435, -0.0591, -0.089, -0.1185, -0.0877, -0.0824, -0.0754, -0.1086, -0.1332, -0.1489, -0.1095, -0.0867, -0.1362, -0.1362, -0.1548, -0.1696, -0.1777, -0.172, -0.1641, -0.1558, -0.1275, -0.0611, -0.0684, -0.0403, -0.0597, -0.0743, -0.0717, -0.1047, -0.0986, -0.0929, -0.0992, -0.1069, -0.0858, -0.0638, -0.0597, -0.0672, -0.0448, -0.0135, 0.0261, 0.066, 0.0384, 0.0667, 0.0619, 0.0115, -0.0178, -0.0319, -0.0004, 0.001, 0.0205, 0.0205, 0.0387, 0.0549, 0.0591, 0.044, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null]}
{"unit_id": "thread:1341621706608304130", "ticker_idx": 0, "ts": "2020-12-23T05:48:35+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Tesla could do the same in the #autonomous space, certainly in the US and perhaps elsewhere as well", "tweet_type": "analysis", "timeline": "years", "summary": "Long TSLA: positioned as Apple-analogue first mover in autonomous, poised to capture bulk of profits in the space.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "self_thread", "lang": "en", "tweet_text": "Happily for $TSLA investors, @tim_cook missed the reincarnation of $AAPL when @elonmusk approached him while experiencing “production hell” with the Model3. An #EV is the ultimate mobile device.\n\n---\n\n#Tesla took a leaf from #Apple’s business plan when it designed its own  #AI chip. Apple designed its own smartphone chip when #QCOM was catering to Motorola, Nokia, and Ericsson, none of which understood that phones could and would become smart.\n\n---\n\n#Tesla dropped $NVDA, not because its GPUs missed the move toward #autonomous, but because the design cycle of $GM, $BMW, &amp; #TM was 4-5 years longer than that for Tesla. Catering to large auto manufacturers, Nvidia was not moving fast enough for Tesla.\n\n---\n\nAs first mover, Apple still generates the bulk of profits in the smartphone space globally. In our view, Tesla could do the same in the #autonomous space, certainly in the US and perhaps elsewhere as well.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.008730872538770806, "ret_signed_m1d": -0.008730872538770806, "alpha_spy_m1d": -0.007832959330804634, "alpha_c_m1d": -0.006573160858839189, "bench_spy_m1d": -0.0008979132079661722, "bench_c_m1d": -0.0021577116799316176, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.02444349518922251, "ret_signed_p1d": 0.02444349518922251, "alpha_spy_p1d": 0.020552983879021047, "alpha_c_p1d": 0.02234882663745852, "bench_spy_p1d": 0.003890511310201461, "bench_c_p1d": 0.0020946685517639896, "ret_p1w": 0.07554418874393698, "ret_signed_p1w": 0.07554418874393698, "alpha_spy_p1w": 0.06351939356812464, "alpha_c_p1w": 0.05561387160669318, "bench_spy_p1w": 0.012024795175812342, "bench_c_p1w": 0.019930317137243803, "ret_p1m": 0.30807457782393666, "ret_signed_p1m": 0.30807457782393666, "alpha_spy_p1m": 0.26272273684768344, "alpha_c_p1m": 0.2247356036124153, "bench_spy_p1m": 0.04535184097625322, "bench_c_p1m": 0.08333897421152137, "ret_p3m": 0.03718382147854027, "ret_signed_p3m": 0.03718382147854027, "alpha_spy_p3m": -0.034383196710266795, "alpha_c_p3m": -0.026261105600564605, "bench_spy_p3m": 0.07156701818880706, "bench_c_p3m": 0.06344492707910487, "ret_p6m": -0.045481222320738146, "ret_signed_p6m": -0.045481222320738146, "alpha_spy_p6m": -0.19724023768416865, "alpha_c_p6m": -0.1457351527667905, "bench_spy_p6m": 0.1517590153634305, "bench_c_p6m": 0.10025393044605235, "price_path": [-0.3694, -0.348, -0.3513, -0.3359, -0.3062, -0.3574, -0.341, -0.3591, -0.3416, -0.3407, -0.3282, -0.3153, -0.3086, -0.2859, -0.3051, -0.3194, -0.3331, -0.3468, -0.3457, -0.3409, -0.3488, -0.3494, -0.3426, -0.3715, -0.364, -0.3993, -0.38, -0.3438, -0.3483, -0.3218, -0.3344, -0.3479, -0.3647, -0.3543, -0.3626, -0.3676, -0.3683, -0.3164, -0.2467, -0.2271, -0.2421, -0.1922, -0.1403, -0.1114, -0.1114, -0.0932, -0.1213, -0.0948, -0.1194, -0.0814, -0.0727, -0.0065, 0.006, -0.0642, -0.0293, -0.0557, -0.0095, -0.0197, -0.0359, 0.0154, 0.0759, 0.006, -0.0087, 0.0, 0.0244, 0.0244, 0.0274, 0.031, 0.0755, 0.0924, 0.0924, 0.1297, 0.138, 0.1703, 0.2633, 0.3623, 0.2558, 0.315, 0.3227, 0.3081, 0.2789, 0.2789, 0.3074, 0.3165, 0.3081, 0.3106, 0.3635, 0.3671, 0.3378, 0.2933, 0.2284, 0.3001, 0.3511, 0.3231, 0.3158, 0.3193, 0.3366, 0.315, 0.2459, 0.2565, 0.2634, 0.2634, 0.2326, 0.2356, 0.2189, 0.2095, 0.1061, 0.0818, 0.1487, 0.0561, 0.0457, 0.1122, 0.0626, 0.0112, -0.038, -0.0744, -0.1285, 0.0427, 0.0342, 0.083, 0.0739, 0.0959, 0.0478, 0.0864, 0.0111, 0.0138, 0.0372, 0.025, -0.0243, -0.0087, -0.0422, -0.0537, -0.016, 0.034, 0.0244, 0.0244, 0.0698, 0.0707, 0.0387, 0.0585, 0.0481, 0.0867, 0.1801, 0.1335, 0.1438, 0.1452, 0.1063, 0.113, 0.1519, 0.1141, 0.1291, 0.1428, 0.091, 0.075, 0.048, 0.0982, 0.0602, 0.0428, 0.0386, 0.0272, 0.0409, -0.0262, -0.0446, -0.0868, -0.115, -0.0871, -0.107, -0.1054, -0.1277, -0.0916, -0.1008, -0.0612, -0.0639, -0.0416, -0.0234, -0.0321, -0.0321, -0.0342, -0.0633, -0.1132, -0.0726, -0.0632, -0.0656, -0.0731, -0.0555, -0.0559, -0.0438, -0.0722, -0.0636, -0.0455]}
{"unit_id": "thread:1341621706608304130", "ticker_idx": 1, "ts": "2020-12-23T05:48:35+00:00", "symbol": "AAPL", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "As first mover, Apple still generates the bulk of profits in the smartphone space globally", "tweet_type": "analysis", "timeline": "years", "summary": "Long TSLA: positioned as Apple-analogue first mover in autonomous, poised to capture bulk of profits in the space.", "resolved_tickers": ["AAPL"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLK", "bench_c_reason": "industry='Consumer Electronics'", "bench_c_industry": "Consumer Electronics", "unit_kind": "self_thread", "lang": "en", "tweet_text": "Happily for $TSLA investors, @tim_cook missed the reincarnation of $AAPL when @elonmusk approached him while experiencing “production hell” with the Model3. An #EV is the ultimate mobile device.\n\n---\n\n#Tesla took a leaf from #Apple’s business plan when it designed its own  #AI chip. Apple designed its own smartphone chip when #QCOM was catering to Motorola, Nokia, and Ericsson, none of which understood that phones could and would become smart.\n\n---\n\n#Tesla dropped $NVDA, not because its GPUs missed the move toward #autonomous, but because the design cycle of $GM, $BMW, &amp; #TM was 4-5 years longer than that for Tesla. Catering to large auto manufacturers, Nvidia was not moving fast enough for Tesla.\n\n---\n\nAs first mover, Apple still generates the bulk of profits in the smartphone space globally. In our view, Tesla could do the same in the #autonomous space, certainly in the US and perhaps elsewhere as well.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.007024791133832586, "ret_signed_m1d": 0.007024791133832586, "alpha_spy_m1d": 0.007922704341798759, "alpha_c_m1d": -0.0006188046899044952, "bench_spy_m1d": -0.0008979132079661722, "bench_c_m1d": 0.007643595823737082, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.007712622649646672, "ret_signed_p1d": 0.007712622649646672, "alpha_spy_p1d": 0.003822111339445211, "alpha_c_p1d": 0.00108276648941108, "bench_spy_p1d": 0.003890511310201461, "bench_c_p1d": 0.006629856160235592, "ret_p1w": 0.02107545263504762, "ret_signed_p1w": 0.02107545263504762, "alpha_spy_p1w": 0.009050657459235278, "alpha_c_p1w": 0.008440042373434986, "bench_spy_p1w": 0.012024795175812342, "bench_c_p1w": 0.012635410261612634, "ret_p1m": 0.0451284506768983, "ret_signed_p1m": 0.0451284506768983, "alpha_spy_p1m": -0.00022339029935491972, "alpha_c_p1m": 0.005116431762596463, "bench_spy_p1m": 0.04535184097625322, "bench_c_p1m": 0.04001201891430184, "ret_p3m": -0.05639588876771495, "ret_signed_p3m": -0.05639588876771495, "alpha_spy_p3m": -0.12796290695652202, "alpha_c_p3m": -0.08711425122161787, "bench_spy_p3m": 0.07156701818880706, "bench_c_p3m": 0.030718362453902914, "ret_p6m": 0.009553675170967058, "ret_signed_p6m": 0.009553675170967058, "alpha_spy_p6m": -0.14220534019246345, "alpha_c_p6m": -0.11128479898449517, "bench_spy_p6m": 0.1517590153634305, "bench_c_p6m": 0.12083847415546223, "price_path": [-0.1441, -0.1237, -0.1303, -0.1172, -0.1097, -0.1385, -0.1119, -0.1374, -0.1228, -0.1236, -0.1084, -0.0517, -0.0769, -0.0762, -0.0799, -0.0927, -0.1159, -0.1042, -0.1091, -0.1177, -0.1231, -0.123, -0.1112, -0.1523, -0.1209, -0.1702, -0.1709, -0.1581, -0.1238, -0.0927, -0.0937, -0.1118, -0.1145, -0.0876, -0.0897, -0.0893, -0.0814, -0.0883, -0.0987, -0.0941, -0.104, -0.1307, -0.1206, -0.114, -0.114, -0.1097, -0.0909, -0.0629, -0.0602, -0.0612, -0.0665, -0.0551, -0.0502, -0.0701, -0.0589, -0.0653, -0.0701, -0.0235, -0.0241, -0.0173, -0.0328, -0.0208, 0.007, 0.0, 0.0077, 0.0077, 0.0438, 0.0299, 0.0211, 0.0132, 0.0132, -0.0118, 0.0004, -0.0333, -0.0003, 0.0083, -0.0151, -0.0165, -0.0005, -0.0157, -0.0292, -0.0292, -0.0239, 0.0082, 0.0451, 0.0619, 0.0913, 0.0932, 0.0848, 0.0468, 0.0076, 0.0243, 0.0308, 0.0228, 0.0491, 0.0458, 0.047, 0.0401, 0.0354, 0.0334, 0.0352, 0.0352, 0.0185, 0.0006, -0.0081, -0.0068, -0.0364, -0.0375, -0.0414, -0.0747, -0.0727, -0.0227, -0.0432, -0.0666, -0.0813, -0.0715, -0.1102, -0.074, -0.0825, -0.0673, -0.0744, -0.0518, -0.0397, -0.0459, -0.0783, -0.0824, -0.0564, -0.0629, -0.0816, -0.0778, -0.0731, -0.0717, -0.0831, -0.0659, -0.0594, -0.0594, -0.0372, -0.0348, -0.0219, -0.0031, 0.0171, 0.0036, 0.028, 0.0097, 0.0286, 0.026, 0.0312, 0.0179, 0.0209, 0.009, 0.0272, 0.0302, 0.0277, 0.0215, 0.0208, 0.0053, 0.0136, -0.0223, -0.0204, -0.0078, -0.0025, -0.0283, -0.0355, -0.0595, -0.0427, -0.0237, -0.0327, -0.0436, -0.0448, -0.0248, -0.0392, -0.0264, -0.0279, -0.0283, -0.0403, -0.0454, -0.0454, -0.048, -0.042, -0.0536, -0.0356, -0.0356, -0.0291, -0.0261, -0.034, -0.0245, -0.0005, -0.0069, -0.003, 0.0096]}
{"unit_id": "quote:872345381191004160", "ticker_idx": 0, "ts": "2017-06-07T06:52:00+00:00", "symbol": "AMD", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Ethereum adds to the demand for #GPUs: $AMD and #NVDA. AI, autonomous vehicles, VR, AR, & blockchains will continue to challenge capacity", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Long AMD and NVDA: multi-theme GPU demand (AI, AVs, VR/AR, blockchains) will continue to strain capacity.", "resolved_tickers": ["AMD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SMH", "bench_c_reason": "industry='Semiconductors'", "bench_c_industry": "Semiconductors", "unit_kind": "quote", "lang": "en", "tweet_text": "#Ethereum adds to the demand for #GPUs: $AMD and #NVDA. AI, autonomous vehicles, VR, AR, &amp; blockchains will continue to challenge capacity. https://t.co/Gogsb2c7dV", "reply_text": null, "parent_text": null, "quoted_text": "Mining for Bitcoin &amp; Ethereum: Price Boom Leads to AMD GPU Sell Out https://t.co/PYQyLF8pyA https://t.co/2IwPCrpOPy", "parent_author": null, "ret_m1d": -0.028271436044775222, "ret_signed_m1d": -0.028271436044775222, "alpha_spy_m1d": -0.02642466543070021, "alpha_c_m1d": -0.020876567812444513, "bench_spy_m1d": -0.0018467706140750106, "bench_c_m1d": -0.007394868232330709, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0420031905720899, "ret_signed_p1d": 0.0420031905720899, "alpha_spy_p1d": 0.04151066063356379, "alpha_c_p1d": 0.028806527945999028, "bench_spy_p1d": 0.0004925299385261095, "bench_c_p1d": 0.013196662626090871, "ret_p1w": -0.04927299281408726, "ret_signed_p1w": -0.04927299281408726, "alpha_spy_p1w": -0.051653313455410355, "alpha_c_p1w": -0.01605340996219684, "bench_spy_p1w": 0.002380320641323097, "bench_c_p1w": -0.03321958285189042, "ret_p1m": 0.05169631158373034, "ret_signed_p1m": 0.05169631158373034, "alpha_spy_p1m": 0.05964554257983823, "alpha_c_p1m": 0.11756686665488936, "bench_spy_p1m": -0.007949230996107892, "bench_c_p1m": -0.06587055507115902, "ret_p3m": 0.0654280661110449, "ret_signed_p3m": 0.0654280661110449, "alpha_spy_p3m": 0.04331282190502406, "alpha_c_p3m": 0.052913906373611486, "bench_spy_p3m": 0.022115244206020845, "bench_c_p3m": 0.012514159737433417, "ret_p6m": -0.12035539235416659, "ret_signed_p6m": -0.12035539235416659, "alpha_spy_p6m": -0.21870546039118344, "alpha_c_p6m": -0.26085580940775965, "bench_spy_p6m": 0.09835006803701685, "bench_c_p6m": 0.14050041705359306, "price_path": [0.1236, 0.1535, 0.1389, 0.1292, 0.1026, 0.0897, 0.1632, 0.1163, 0.1389, 0.1139, 0.1066, 0.1066, 0.1058, 0.1074, 0.1349, 0.1753, 0.1826, 0.1438, 0.1446, 0.0719, 0.0921, 0.0582, 0.0582, 0.0307, -0.0057, -0.0057, 0.0331, 0.046, 0.0372, 0.059, 0.0501, 0.0606, 0.0897, 0.0832, 0.1002, 0.0743, 0.1002, -0.1664, -0.1607, -0.1842, -0.1769, -0.189, -0.1777, -0.1284, -0.1058, -0.0905, -0.0775, 0.0299, -0.0953, -0.0889, -0.0784, -0.1082, -0.1204, -0.1204, -0.1131, -0.1115, -0.1115, -0.1018, -0.0961, -0.1171, -0.1195, -0.0921, -0.0283, 0.0, 0.042, -0.0081, -0.0234, -0.0339, -0.0493, -0.0711, -0.0759, -0.0363, 0.021, 0.1292, 0.1616, 0.1446, 0.1373, 0.0824, 0.0687, 0.0178, 0.0081, -0.0186, -0.0186, 0.0654, 0.0517, 0.0792, 0.1155, 0.122, 0.1543, 0.0929, 0.1244, 0.1147, 0.0889, 0.0945, 0.1147, 0.1212, 0.1438, 0.1397, 0.1922, 0.1405, 0.1268, 0.0994, 0.1074, 0.08, 0.0695, 0.0598, 0.0848, 0.059, 0.0363, -0.021, -0.0121, 0.0307, 0.0517, 0.0202, -0.0032, -0.0008, -0.0267, -0.017, 0.0081, 0.0097, 0.004, -0.0121, -0.0186, 0.0234, 0.0501, 0.0654, 0.0654, 0.0436, 0.0388, 0.0202, -0.0105, 0.0137, -0.0065, -0.0129, -0.0097, 0.0113, 0.0565, 0.0598, 0.1099, 0.0832, 0.0743, 0.0186, 0.0057, 0.0291, 0.0291, 0.0299, 0.0267, 0.084, 0.0751, 0.0775, 0.0687, 0.088, 0.1066, 0.1212, 0.147, 0.1486, 0.1519, 0.1438, 0.1365, 0.1268, 0.1155, 0.1389, 0.1511, -0.004, -0.0299, -0.0436, -0.1204, -0.1123, -0.1276, -0.1236, -0.1018, -0.0363, -0.0267, -0.0541, -0.1018, -0.0905, -0.1042, -0.1018, -0.1058, -0.0913, -0.0808, -0.084, -0.0792, -0.0816, -0.0816, -0.0808, -0.067, -0.0977, -0.1252, -0.1204]}
{"unit_id": "quote:872345381191004160", "ticker_idx": 1, "ts": "2017-06-07T06:52:00+00:00", "symbol": "NVDA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Ethereum adds to the demand for #GPUs: $AMD and #NVDA. AI, autonomous vehicles, VR, AR, & blockchains will continue to challenge capacity", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Long AMD and NVDA: multi-theme GPU demand (AI, AVs, VR/AR, blockchains) will continue to strain capacity.", "resolved_tickers": ["NVDA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SMH", "bench_c_reason": "industry='Semiconductors'", "bench_c_industry": "Semiconductors", "unit_kind": "quote", "lang": "en", "tweet_text": "#Ethereum adds to the demand for #GPUs: $AMD and #NVDA. AI, autonomous vehicles, VR, AR, &amp; blockchains will continue to challenge capacity. https://t.co/Gogsb2c7dV", "reply_text": null, "parent_text": null, "quoted_text": "Mining for Bitcoin &amp; Ethereum: Price Boom Leads to AMD GPU Sell Out https://t.co/PYQyLF8pyA https://t.co/2IwPCrpOPy", "parent_author": null, "ret_m1d": -0.011936810303952106, "ret_signed_m1d": -0.011936810303952106, "alpha_spy_m1d": -0.010090039689877095, "alpha_c_m1d": -0.0045419420716213965, "bench_spy_m1d": -0.0018467706140750106, "bench_c_m1d": -0.007394868232330709, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.07255900390984293, "ret_signed_p1d": 0.07255900390984293, "alpha_spy_p1d": 0.07206647397131682, "alpha_c_p1d": 0.05936234128375206, "bench_spy_p1d": 0.0004925299385261095, "bench_c_p1d": 0.013196662626090871, "ret_p1w": 0.017435529046583964, "ret_signed_p1w": 0.017435529046583964, "alpha_spy_p1w": 0.015055208405260867, "alpha_c_p1w": 0.05065511189847438, "bench_spy_p1w": 0.002380320641323097, "bench_c_p1w": -0.03321958285189042, "ret_p1m": -0.037821966114693906, "ret_signed_p1m": -0.037821966114693906, "alpha_spy_p1m": -0.029872735118586013, "alpha_c_p1m": 0.028048588956465115, "bench_spy_p1m": -0.007949230996107892, "bench_c_p1m": -0.06587055507115902, "ret_p3m": 0.14411282319684715, "ret_signed_p3m": 0.14411282319684715, "alpha_spy_p3m": 0.1219975789908263, "alpha_c_p3m": 0.13159866345941373, "bench_spy_p3m": 0.022115244206020845, "bench_c_p3m": 0.012514159737433417, "ret_p6m": 0.34808381418270296, "ret_signed_p6m": 0.34808381418270296, "alpha_spy_p6m": 0.2497337461456861, "alpha_c_p6m": 0.2075833971291099, "bench_spy_p6m": 0.09835006803701685, "bench_c_p6m": 0.14050041705359306, "price_path": [-0.336, -0.3177, -0.3182, -0.313, -0.3046, -0.2894, -0.2668, -0.2905, -0.276, -0.2826, -0.2801, -0.2748, -0.2786, -0.2809, -0.2671, -0.2703, -0.274, -0.3249, -0.3299, -0.325, -0.3279, -0.345, -0.3427, -0.3481, -0.3603, -0.3603, -0.3353, -0.3349, -0.3322, -0.3217, -0.3189, -0.3103, -0.2984, -0.3032, -0.2923, -0.3013, -0.2856, -0.3068, -0.3016, -0.3043, -0.3042, -0.3115, -0.3104, -0.1875, -0.1526, -0.1433, -0.1003, -0.0835, -0.1444, -0.1086, -0.088, -0.0685, -0.0811, -0.0707, -0.0728, -0.0488, -0.0488, -0.0285, -0.032, -0.0319, -0.0367, -0.0074, -0.0119, 0.0, 0.0726, 0.0032, 0.0057, 0.0153, 0.0174, 0.0218, 0.0168, 0.055, 0.0534, 0.0694, 0.062, 0.0316, 0.0203, -0.017, 0.0176, -0.0164, -0.0306, -0.0657, -0.0657, -0.0407, -0.0378, -0.0158, 0.0307, 0.0453, 0.0898, 0.0772, 0.1062, 0.1015, 0.1129, 0.1072, 0.1233, 0.1273, 0.1142, 0.1088, 0.1216, 0.0846, 0.1024, 0.0898, 0.1031, 0.1024, 0.1164, 0.1213, 0.1558, 0.142, 0.1542, 0.1047, 0.0459, 0.1293, 0.1198, 0.1075, 0.0828, 0.083, 0.0673, 0.091, 0.1128, 0.1087, 0.0995, 0.1073, 0.1055, 0.112, 0.1373, 0.1441, 0.1441, 0.1136, 0.1129, 0.1181, 0.0987, 0.1343, 0.1384, 0.1435, 0.137, 0.2089, 0.2588, 0.2575, 0.2473, 0.2132, 0.2014, 0.1477, 0.1542, 0.1795, 0.1791, 0.1999, 0.2014, 0.2039, 0.214, 0.2133, 0.2169, 0.2443, 0.2681, 0.2816, 0.2822, 0.3061, 0.3285, 0.3273, 0.3261, 0.3276, 0.3216, 0.3197, 0.3335, 0.2998, 0.3135, 0.3549, 0.3682, 0.3881, 0.3907, 0.3823, 0.4007, 0.407, 0.4231, 0.4039, 0.3781, 0.4507, 0.4272, 0.4376, 0.4094, 0.4203, 0.4186, 0.4369, 0.4501, 0.4436, 0.4436, 0.4572, 0.4383, 0.4152, 0.3193, 0.3481]}
{"unit_id": "thread:1500775095857467396", "ticker_idx": 0, "ts": "2022-03-07T10:07:20+00:00", "symbol": "oil", "kind": "commodity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "long term, though longer term than I expected, oil prices will collapse under the weight of lower demand", "tweet_type": "prediction", "timeline": "years", "summary": "Long-term bearish oil: accelerating EV adoption will destroy demand and collapse prices, though on a longer timeline than originally expected.", "resolved_tickers": ["USO"], "resolution_method": "etf", "resolution_reason": "Oil commodity; USO is standard ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "self_thread", "lang": "en", "tweet_text": "Oil demand probably did hit a secular peak in 2019. The supply shock caused by the energy insecurity policies of the current US administration, ESG mandates globally, and now Russia’s invasion of Ukraine has raised prices to a point that will accelerate demand destruction.\n\n---\n\nI got the supply shock wrong. That said, the accelerated shift toward electric transportation will destroy oil consumption at the margin. Long term, though longer term than I expected, oil prices will collapse under the weight of lower demand. Innovation solves problems!", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.03532843954202891, "ret_signed_m1d": 0.03532843954202891, "alpha_spy_m1d": 0.06570314425146784, "alpha_c_m1d": 0.06570314425146784, "bench_spy_m1d": 0.030374704709438927, "bench_c_m1d": 0.030374704709438927, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.03714941673618832, "ret_signed_p1d": -0.03714941673618832, "alpha_spy_p1d": -0.04473109926532248, "alpha_c_p1d": -0.04473109926532248, "bench_spy_p1d": -0.007581682529134159, "bench_c_p1d": -0.007581682529134159, "ret_p1w": -0.11569753661428472, "ret_signed_p1w": 0.11569753661428472, "alpha_spy_p1w": 0.10990402604953897, "alpha_c_p1w": 0.10990402604953897, "bench_spy_p1w": -0.005793510564745752, "bench_c_p1w": -0.005793510564745752, "ret_p1m": -0.0919023848780719, "ret_signed_p1m": 0.0919023848780719, "alpha_spy_p1m": 0.1705834939025711, "alpha_c_p1m": 0.1705834939025711, "bench_spy_p1m": 0.07868110902449921, "bench_c_p1m": 0.07868110902449921, "ret_p3m": 0.05924483538542158, "ret_signed_p3m": -0.05924483538542158, "alpha_spy_p3m": -0.06101688726955812, "alpha_c_p3m": -0.06101688726955812, "bench_spy_p3m": -0.0017720518841365385, "bench_c_p3m": -0.0017720518841365385, "ret_p6m": -0.08376837799929815, "ret_signed_p6m": 0.08376837799929815, "alpha_spy_p6m": 0.04023937928612786, "alpha_c_p6m": 0.04023937928612786, "bench_spy_p6m": -0.043528998713170286, "bench_c_p6m": -0.043528998713170286, "price_path": [-0.3636, -0.3806, -0.3683, -0.3755, -0.3818, -0.3733, -0.3703, -0.3835, -0.3942, -0.3739, -0.3629, -0.355, -0.355, -0.3381, -0.3363, -0.3313, -0.3311, -0.3401, -0.3343, -0.3251, -0.3271, -0.3093, -0.312, -0.3182, -0.2939, -0.2848, -0.2926, -0.2719, -0.2719, -0.2598, -0.2588, -0.2636, -0.2621, -0.2702, -0.2598, -0.2512, -0.249, -0.2477, -0.2415, -0.2409, -0.241, -0.229, -0.212, -0.2148, -0.2276, -0.221, -0.2235, -0.2019, -0.1944, -0.2196, -0.2286, -0.221, -0.214, -0.214, -0.2043, -0.1958, -0.1946, -0.2012, -0.1808, -0.1281, -0.0844, -0.0952, -0.0353, 0.0, 0.0371, -0.0838, -0.1009, -0.0725, -0.1157, -0.1668, -0.1711, -0.1055, -0.0938, -0.0344, -0.0463, -0.0051, -0.0318, -0.0198, -0.0952, -0.0755, -0.0541, -0.1002, -0.0996, -0.0669, -0.0919, -0.1131, -0.1124, -0.1003, -0.1223, -0.0776, -0.048, -0.034, -0.034, -0.0238, -0.0669, -0.0623, -0.0516, -0.0736, -0.0937, -0.0717, -0.0728, -0.0521, -0.0633, -0.0484, -0.069, -0.0261, -0.0229, -0.0029, -0.0704, -0.0952, -0.0509, -0.0381, -0.0132, 0.009, -0.0153, -0.0374, -0.0217, -0.0087, -0.0049, -0.0045, 0.0013, 0.027, 0.0375, 0.0375, 0.0376, 0.0385, 0.0592, 0.0862, 0.0731, 0.0931, 0.1168, 0.1057, 0.0942, 0.097, 0.0738, 0.0554, 0.0642, 0.0118, 0.0118, 0.0204, -0.0181, -0.0412, -0.0134, 0.0068, 0.0285, 0.007, -0.0245, -0.0085, -0.0085, -0.0921, -0.1056, -0.0707, -0.0465, -0.0503, -0.1161, -0.1114, -0.1156, -0.1048, -0.0675, -0.0524, -0.0574, -0.0835, -0.0952, -0.0747, -0.0875, -0.0546, -0.0636, -0.0524, -0.0879, -0.0782, -0.1073, -0.1316, -0.1315, -0.1072, -0.1083, -0.0977, -0.0739, -0.0897, -0.1152, -0.1351, -0.1253, -0.0991, -0.1009, -0.0934, -0.0673, -0.0526, -0.0713, -0.0792, -0.0447, -0.0838]}
{"unit_id": "quote:1633631156749910018", "ticker_idx": 0, "ts": "2023-03-09T00:49:53+00:00", "symbol": "GOOGL", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "I have expressed my frustration with Google search, deeming it primitive AI", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bearish Alphabet on AI vulnerability in search; bullish Microsoft/OpenAI as the disruptive iPhone-moment threat.", "resolved_tickers": ["GOOGL"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLC", "bench_c_reason": "industry='Internet Content & Information'", "bench_c_industry": "Internet Content & Information", "unit_kind": "quote", "lang": "en", "tweet_text": "Provocative. During the last few years, I have expressed my frustration with Google search, deeming it primitive AI, notwithstanding Alphabet’s DeepMind expertise. OpenAI/Microsoft’s ChatGPT is the “iPhone moment” of this decade, changing everything. Disruptive innovation!", "reply_text": null, "parent_text": null, "quoted_text": "The innovator’s dilemma\nGoogle’s dominance in search *is* its vulnerability", "parent_author": null, "ret_m1d": 0.02090560282420939, "ret_signed_m1d": -0.02090560282420939, "alpha_spy_m1d": -0.0021090217354728935, "alpha_c_m1d": 0.0021088535585616075, "bench_spy_m1d": 0.018796581088736497, "bench_c_m1d": 0.023014456382770998, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.01830590092336082, "ret_signed_p1d": 0.01830590092336082, "alpha_spy_p1d": 0.003876535723722707, "alpha_c_p1d": 0.00415747518030074, "bench_spy_p1d": -0.014429365199638111, "bench_c_p1d": -0.014148425743060078, "ret_p1w": 0.08665506355271257, "ret_signed_p1w": -0.08665506355271257, "alpha_spy_p1w": -0.075035035156094, "alpha_c_p1w": -0.038928136878846775, "bench_spy_p1w": 0.011620028396618576, "bench_c_p1w": 0.0477269266738658, "ret_p1m": 0.1743933362307788, "ret_signed_p1m": -0.1743933362307788, "alpha_spy_p1m": -0.12537990084479356, "alpha_c_p1m": -0.059676733499371526, "bench_spy_p1m": 0.04901343538598524, "bench_c_p1m": 0.11471660273140727, "ret_p3m": 0.37900770711625076, "ret_signed_p3m": -0.37900770711625076, "alpha_spy_p3m": -0.2816955485374606, "alpha_c_p3m": -0.17633194082894033, "bench_spy_p3m": 0.09731215857879016, "bench_c_p3m": 0.20267576628731043, "ret_p6m": 0.46945383596014323, "ret_signed_p6m": -0.46945383596014323, "alpha_spy_p6m": -0.3084711542552794, "alpha_c_p6m": -0.1981328076849158, "bench_spy_p6m": 0.16098268170486385, "bench_c_p6m": 0.2713210282752274, "price_path": [0.0107, 0.0359, 0.0298, -0.0158, -0.0223, -0.042, -0.0357, -0.0297, -0.0494, -0.0335, -0.0335, -0.0534, -0.0682, -0.0419, -0.0443, -0.0443, -0.0347, -0.0459, -0.0663, -0.0539, -0.0466, -0.0422, -0.0087, -0.0129, -0.0022, -0.0022, -0.0112, -0.013, 0.0079, 0.0617, 0.0809, 0.0583, 0.0314, 0.0563, 0.0764, 0.05, 0.0706, 0.0878, 0.167, 0.135, 0.1146, 0.1659, 0.0764, 0.0291, 0.0244, 0.0248, 0.0256, 0.05, 0.0346, 0.022, 0.022, -0.0057, -0.0073, -0.0155, -0.0346, -0.0265, -0.0245, -0.0212, -0.0035, 0.0144, 0.0304, 0.0167, 0.0209, 0.0, -0.0183, -0.0131, 0.0179, 0.0411, 0.0867, 0.1007, 0.0964, 0.1365, 0.1197, 0.1438, 0.1421, 0.1098, 0.0943, 0.0982, 0.0928, 0.1236, 0.1304, 0.1343, 0.1316, 0.1744, 0.1744, 0.1529, 0.1411, 0.1334, 0.1637, 0.1793, 0.1479, 0.1319, 0.1285, 0.1405, 0.1418, 0.1479, 0.1249, 0.1234, 0.1654, 0.1627, 0.1612, 0.1408, 0.1418, 0.134, 0.1435, 0.1674, 0.1628, 0.2105, 0.2627, 0.2729, 0.262, 0.2945, 0.3089, 0.3305, 0.3297, 0.3545, 0.3276, 0.3096, 0.3375, 0.3498, 0.3498, 0.3396, 0.3309, 0.3401, 0.3504, 0.3649, 0.379, 0.3269, 0.323, 0.324, 0.3393, 0.3413, 0.3396, 0.355, 0.3381, 0.3381, 0.3334, 0.3058, 0.3339, 0.3252, 0.2818, 0.2817, 0.3018, 0.2901, 0.2966, 0.2987, 0.2987, 0.3188, 0.301, 0.2942, 0.2614, 0.2688, 0.2882, 0.349, 0.3585, 0.3502, 0.3406, 0.3218, 0.2912, 0.3, 0.3164, 0.3238, 0.4002, 0.4016, 0.4361, 0.4376, 0.4249, 0.3906, 0.3914, 0.3877, 0.4247, 0.4233, 0.4045, 0.4048, 0.4034, 0.4226, 0.4058, 0.3941, 0.4073, 0.3806, 0.3905, 0.3982, 0.4338, 0.4058, 0.4068, 0.4191, 0.4576, 0.4718, 0.475, 0.4695]}
{"unit_id": "quote:1633631156749910018", "ticker_idx": 1, "ts": "2023-03-09T00:49:53+00:00", "symbol": "MSFT", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": false, "explicit_audit": "kept_implicit_alias_present", "polarity_reversed": false, "quote": "OpenAI/Microsoft's ChatGPT is the 'iPhone moment' of this decade, changing everything", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bearish Alphabet on AI vulnerability in search; bullish Microsoft/OpenAI as the disruptive iPhone-moment threat.", "resolved_tickers": ["MSFT"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": "Software - Infrastructure", "unit_kind": "quote", "lang": "en", "tweet_text": "Provocative. During the last few years, I have expressed my frustration with Google search, deeming it primitive AI, notwithstanding Alphabet’s DeepMind expertise. OpenAI/Microsoft’s ChatGPT is the “iPhone moment” of this decade, changing everything. Disruptive innovation!", "reply_text": null, "parent_text": null, "quoted_text": "The innovator’s dilemma\nGoogle’s dominance in search *is* its vulnerability", "parent_author": null, "ret_m1d": 0.00546908981537908, "ret_signed_m1d": 0.00546908981537908, "alpha_spy_m1d": -0.013327491273357417, "alpha_c_m1d": -0.013327491273357417, "bench_spy_m1d": 0.018796581088736497, "bench_c_m1d": 0.018796581088736497, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.014782933516442887, "ret_signed_p1d": -0.014782933516442887, "alpha_spy_p1d": -0.0003535683168047754, "alpha_c_p1d": -0.0003535683168047754, "bench_spy_p1d": -0.014429365199638111, "bench_c_p1d": -0.014429365199638111, "ret_p1w": 0.0946414843931418, "ret_signed_p1w": 0.0946414843931418, "alpha_spy_p1w": 0.08302145599652322, "alpha_c_p1w": 0.08302145599652322, "bench_spy_p1w": 0.011620028396618576, "bench_c_p1w": 0.011620028396618576, "ret_p1m": 0.15567524622350581, "ret_signed_p1m": 0.15567524622350581, "alpha_spy_p1m": 0.10666181083752058, "alpha_c_p1m": 0.10666181083752058, "bench_spy_p1m": 0.04901343538598524, "bench_c_p1m": 0.04901343538598524, "ret_p3m": 0.3253385051679778, "ret_signed_p3m": 0.3253385051679778, "alpha_spy_p3m": 0.22802634658918763, "alpha_c_p3m": 0.22802634658918763, "bench_spy_p3m": 0.09731215857879016, "bench_c_p3m": 0.09731215857879016, "ret_p6m": 0.30816355056432676, "ret_signed_p6m": 0.30816355056432676, "alpha_spy_p6m": 0.1471808688594629, "alpha_c_p6m": 0.1471808688594629, "bench_spy_p6m": 0.16098268170486385, "bench_c_p6m": 0.16098268170486385, "price_path": [-0.0017, 0.0157, 0.0169, -0.0156, -0.0327, -0.0494, -0.0441, -0.0337, -0.0584, -0.0562, -0.0562, -0.0632, -0.0728, -0.0472, -0.0519, -0.0519, -0.0529, -0.0943, -0.1211, -0.1108, -0.1021, -0.0953, -0.0679, -0.0571, -0.0542, -0.0542, -0.0498, -0.0678, -0.0831, -0.0503, -0.041, -0.0431, -0.0488, -0.0196, -0.0189, -0.0405, -0.0203, -0.0008, 0.046, 0.0213, 0.0151, 0.0578, 0.0545, 0.0422, 0.0401, 0.0726, 0.076, 0.0674, 0.039, 0.0227, 0.0227, 0.0014, -0.0032, 0.0097, -0.0123, -0.0086, -0.0115, -0.024, -0.0048, 0.0118, 0.018, 0.0073, 0.0055, 0.0, -0.0148, 0.0063, 0.0336, 0.052, 0.0946, 0.1074, 0.0789, 0.0851, 0.0791, 0.1004, 0.112, 0.0954, 0.0908, 0.1117, 0.1258, 0.1426, 0.1384, 0.1382, 0.1269, 0.1557, 0.1557, 0.1469, 0.1209, 0.1235, 0.1487, 0.134, 0.1446, 0.1429, 0.1432, 0.1339, 0.1325, 0.1167, 0.0916, 0.1706, 0.2081, 0.2177, 0.211, 0.2104, 0.2064, 0.2104, 0.2312, 0.2232, 0.2167, 0.2378, 0.229, 0.2245, 0.2265, 0.2355, 0.2472, 0.2651, 0.2644, 0.2757, 0.2522, 0.2466, 0.2945, 0.3222, 0.3222, 0.3155, 0.3043, 0.321, 0.3322, 0.3343, 0.3253, 0.2844, 0.2919, 0.298, 0.3181, 0.3278, 0.3399, 0.3826, 0.3597, 0.3597, 0.3427, 0.3249, 0.3493, 0.3307, 0.3052, 0.3289, 0.334, 0.3308, 0.3526, 0.3425, 0.3425, 0.3431, 0.3555, 0.3394, 0.318, 0.3205, 0.3393, 0.361, 0.3713, 0.3732, 0.4279, 0.4103, 0.3777, 0.3654, 0.3707, 0.3941, 0.3416, 0.3136, 0.344, 0.3342, 0.3359, 0.3008, 0.2975, 0.3019, 0.3112, 0.295, 0.2799, 0.2826, 0.275, 0.287, 0.2784, 0.2753, 0.2613, 0.2597, 0.2812, 0.2835, 0.3016, 0.2736, 0.2856, 0.2884, 0.3072, 0.3087, 0.3046, 0.3082]}
{"unit_id": "quote:1395863289226309640", "ticker_idx": 0, "ts": "2021-05-21T22:05:16+00:00", "symbol": "ARK Innovation ETF", "kind": "etf", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": false, "explicit_audit": "kept_implicit_alias_present", "polarity_reversed": false, "quote": "setting the stage for another leg up in innovation-based strategies", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish on innovation/growth strategies; rotation into value has strengthened the bull market and sets up another leg up.", "resolved_tickers": ["ARKK"], "resolution_method": "etf", "resolution_reason": "ARK Innovation ETF is ARKK", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Because the risk of inflation has grabbed headlines and increased investor fears of a bear market in equities, especially innovation-based strategies, we would like to share @ARKInvest’s differentiated point of view.", "reply_text": null, "parent_text": null, "quoted_text": "In our view, the rotation from growth into value stocks has broadened &amp; strengthened the bull market significantly, preventing another tech &amp; telecom bubble &amp; setting the stage for another leg up in innovation-based strategies.\n\nNew blog by @CathieDWood! https://t.co/djJZKFivz0", "parent_author": null, "ret_m1d": 0.007086190214003141, "ret_signed_m1d": 0.007086190214003141, "alpha_spy_m1d": 0.006266764323971996, "alpha_c_m1d": 0.006266764323971996, "bench_spy_m1d": 0.0008194258900311446, "bench_c_m1d": 0.0008194258900311446, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.027305499860647675, "ret_signed_p1d": 0.027305499860647675, "alpha_spy_p1d": 0.017111025985064865, "alpha_c_p1d": 0.017111025985064865, "bench_spy_p1d": 0.01019447387558281, "bench_c_p1d": 0.01019447387558281, "ret_p1w": 0.0591459767789182, "ret_signed_p1w": 0.0591459767789182, "alpha_spy_p1w": 0.04685490341053522, "alpha_c_p1w": 0.04685490341053522, "bench_spy_p1w": 0.012291073368382976, "bench_c_p1w": 0.012291073368382976, "ret_p1m": 0.1291573279625846, "ret_signed_p1m": 0.1291573279625846, "alpha_spy_p1m": 0.11157203573598817, "alpha_c_p1m": 0.11157203573598817, "bench_spy_p1m": 0.01758529222659644, "bench_c_p1m": 0.01758529222659644, "ret_p3m": 0.09448224304489905, "ret_signed_p3m": 0.09448224304489905, "alpha_spy_p3m": 0.03260149289931835, "alpha_c_p3m": 0.03260149289931835, "bench_spy_p3m": 0.0618807501455807, "bench_c_p3m": 0.0618807501455807, "ret_p6m": 0.11044982390605163, "ret_signed_p6m": 0.11044982390605163, "alpha_spy_p6m": -0.023356770007628258, "alpha_c_p6m": -0.023356770007628258, "bench_spy_p6m": 0.13380659391367988, "bench_c_p6m": 0.13380659391367988, "price_path": [0.3137, 0.3069, 0.2236, 0.2317, 0.2916, 0.2614, 0.1821, 0.119, 0.1061, 0.0418, 0.1503, 0.145, 0.2158, 0.1969, 0.2177, 0.1907, 0.2043, 0.1344, 0.1561, 0.1784, 0.1498, 0.0845, 0.0811, 0.0768, 0.0504, 0.0811, 0.1333, 0.1418, 0.1418, 0.1493, 0.17, 0.1415, 0.1729, 0.1646, 0.1571, 0.2052, 0.1798, 0.1963, 0.1752, 0.1379, 0.1243, 0.151, 0.1471, 0.1687, 0.2068, 0.1927, 0.1846, 0.1504, 0.1411, 0.1046, 0.0704, 0.0539, 0.0236, 0.0367, -0.0176, 0.0026, -0.0348, -0.0601, -0.0145, -0.0239, -0.0099, -0.0271, 0.0071, 0.0, 0.0273, 0.0334, 0.0528, 0.0608, 0.0591, 0.0591, 0.0511, 0.0516, 0.015, 0.0347, 0.0647, 0.0689, 0.0662, 0.0863, 0.0971, 0.118, 0.0874, 0.0821, 0.1196, 0.1234, 0.1292, 0.1434, 0.1671, 0.1837, 0.1857, 0.2304, 0.2366, 0.2356, 0.2203, 0.2108, 0.2108, 0.2022, 0.174, 0.1651, 0.1869, 0.1786, 0.1552, 0.1165, 0.0998, 0.101, 0.1081, 0.141, 0.1589, 0.1499, 0.1567, 0.1489, 0.1207, 0.1465, 0.1489, 0.1338, 0.1444, 0.1359, 0.1648, 0.1864, 0.1622, 0.1782, 0.1474, 0.1461, 0.1513, 0.1347, 0.1053, 0.095, 0.0945, 0.0757, 0.0941, 0.1289, 0.1438, 0.1435, 0.1259, 0.153, 0.1601, 0.153, 0.1689, 0.1794, 0.1817, 0.1817, 0.1783, 0.1448, 0.1499, 0.1381, 0.1165, 0.1041, 0.1132, 0.1203, 0.148, 0.0973, 0.1068, 0.1159, 0.1276, 0.1067, 0.1057, 0.0595, 0.0367, 0.0443, 0.0504, 0.0128, 0.0302, 0.0387, 0.0639, 0.045, 0.0416, 0.0557, 0.0717, 0.092, 0.0941, 0.1059, 0.13, 0.1215, 0.1306, 0.1125, 0.1509, 0.1451, 0.1213, 0.1505, 0.1459, 0.1822, 0.163, 0.1776, 0.1753, 0.1554, 0.1659, 0.1392, 0.1011, 0.1087, 0.1195, 0.1104]}
{"unit_id": "quote:1242948963638153217", "ticker_idx": 0, "ts": "2020-03-25T22:58:20+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "our conviction in #Tesla has increased", "tweet_type": "prediction", "timeline": "years", "summary": "ARK raises TSLA conviction in 5-yr model despite COVID; UBER and LYFT seen suffering as Tesla ride-hailing fills the gap.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": ".@ARKInvest would like to share our five-year TSLA model, this time adjusted for the impact of the #coronavirus. If anything, our conviction in #Tesla has increased. As $UBER and $LYFT suffer from #COVID-19, #Tesla’s ride-hailing should be able to fill the gap, boosting its CF.", "reply_text": null, "parent_text": null, "quoted_text": "Updated our open source Tesla model extract...\n\nhttps://t.co/UcAHeBgJEe\n\nGreat work by @skorusARK and @TashaARK (and the whole team) builds off of the blog here: \n\nhttps://t.co/DOH208DRio\n\nAlso incorporates anticipated coronavirus impact and adds monte carlo model. https://t.co/ULonL3xunB", "parent_author": null, "ret_m1d": -0.06351412451320171, "ret_signed_m1d": -0.06351412451320171, "alpha_spy_m1d": -0.048764675867900786, "alpha_c_m1d": -0.046269190263505955, "bench_spy_m1d": -0.014749448645300922, "bench_c_m1d": -0.017244934249695754, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.020565621439638027, "ret_signed_p1d": -0.020565621439638027, "alpha_spy_p1d": -0.07895530990783806, "alpha_c_p1d": -0.06193289431758198, "bench_spy_p1d": 0.05838968846820003, "bench_c_p1d": 0.04136727287794395, "ret_p1w": -0.10698193573757941, "ret_signed_p1w": -0.10698193573757941, "alpha_spy_p1w": -0.10438862312913377, "alpha_c_p1w": -0.0687970706474994, "bench_spy_p1w": -0.0025933126084456415, "bench_c_p1w": -0.03818486509008001, "ret_p1m": 0.30853960552317217, "ret_signed_p1m": 0.30853960552317217, "alpha_spy_p1m": 0.17769993548110508, "alpha_c_p1m": 0.17550739653097525, "bench_spy_p1m": 0.1308396700420671, "bench_c_p1m": 0.13303220899219692, "ret_p3m": 0.8438943145307494, "ret_signed_p3m": 0.8438943145307494, "alpha_spy_p3m": 0.579714818233094, "alpha_c_p3m": 0.5229225513913349, "bench_spy_p3m": 0.26417949629765536, "bench_c_p3m": 0.32097176313941445, "ret_p6m": 2.926100773582389, "ret_signed_p6m": 2.926100773582389, "alpha_spy_p6m": 2.5592790727026635, "alpha_c_p6m": 2.4247673850029168, "bench_spy_p6m": 0.3668217008797259, "bench_c_p6m": 0.5013333885794722, "price_path": [-0.2019, -0.231, -0.2242, -0.2242, -0.2021, -0.1785, -0.1627, -0.1302, -0.0874, -0.1074, -0.1133, -0.0267, -0.0025, -0.0385, -0.0478, -0.0533, -0.0533, 0.0147, 0.0562, 0.0611, 0.0474, 0.0348, 0.0513, 0.0774, 0.1883, 0.2064, 0.4465, 0.645, 0.3624, 0.3889, 0.3872, 0.4303, 0.436, 0.4229, 0.491, 0.4836, 0.4836, 0.5918, 0.7013, 0.6679, 0.6708, 0.5462, 0.4834, 0.4442, 0.2592, 0.2387, 0.379, 0.3825, 0.3899, 0.3436, 0.3046, 0.1275, 0.1967, 0.1761, 0.0395, 0.0137, -0.1746, -0.2022, -0.3301, -0.207, -0.2072, -0.1946, -0.0635, 0.0, -0.0206, -0.0462, -0.0688, -0.0283, -0.107, -0.1572, -0.1099, -0.0427, 0.0115, 0.0178, 0.0626, 0.0626, 0.2071, 0.3164, 0.3534, 0.3819, 0.398, 0.3841, 0.2735, 0.3576, 0.3085, 0.3447, 0.4812, 0.4263, 0.4845, 0.4499, 0.3005, 0.4116, 0.4246, 0.4512, 0.4465, 0.5196, 0.5045, 0.501, 0.4668, 0.4897, 0.482, 0.5088, 0.4984, 0.5124, 0.5347, 0.5148, 0.5148, 0.5185, 0.5211, 0.4943, 0.5484, 0.6655, 0.6348, 0.6374, 0.6029, 0.6424, 0.7616, 0.7444, 0.9009, 0.8041, 0.7344, 0.8376, 0.8213, 0.8392, 0.8618, 0.8561, 0.8439, 0.8577, 0.7818, 0.8284, 0.7798, 0.8718, 1.0024, 1.0763, 1.2414, 1.2414, 1.5435, 1.5774, 1.5329, 1.5856, 1.8644, 1.7762, 1.8128, 1.867, 1.7828, 1.7832, 2.0468, 1.9084, 1.9529, 1.8059, 1.6277, 1.8551, 1.738, 1.78, 1.7584, 1.6532, 1.7538, 1.7575, 1.7539, 1.7623, 1.6939, 1.6306, 1.5487, 1.8832, 2.006, 2.0611, 2.4041, 2.4995, 2.4836, 2.7122, 2.8015, 2.7352, 2.7521, 2.9929, 3.1516, 3.1046, 3.6205, 3.4047, 3.1481, 2.7738, 2.8787, 2.8787, 2.0618, 2.3962, 2.4431, 2.4559, 2.8908, 3.1702, 3.0961, 2.9261]}
{"unit_id": "quote:1242948963638153217", "ticker_idx": 1, "ts": "2020-03-25T22:58:20+00:00", "symbol": "UBER", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$UBER and $LYFT suffer from #COVID-19", "tweet_type": "prediction", "timeline": "years", "summary": "ARK raises TSLA conviction in 5-yr model despite COVID; UBER and LYFT seen suffering as Tesla ride-hailing fills the gap.", "resolved_tickers": ["UBER"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": "Software - Application", "unit_kind": "quote", "lang": "en", "tweet_text": ".@ARKInvest would like to share our five-year TSLA model, this time adjusted for the impact of the #coronavirus. If anything, our conviction in #Tesla has increased. As $UBER and $LYFT suffer from #COVID-19, #Tesla’s ride-hailing should be able to fill the gap, boosting its CF.", "reply_text": null, "parent_text": null, "quoted_text": "Updated our open source Tesla model extract...\n\nhttps://t.co/UcAHeBgJEe\n\nGreat work by @skorusARK and @TashaARK (and the whole team) builds off of the blog here: \n\nhttps://t.co/DOH208DRio\n\nAlso incorporates anticipated coronavirus impact and adds monte carlo model. https://t.co/ULonL3xunB", "parent_author": null, "ret_m1d": 0.007636458629725507, "ret_signed_m1d": -0.007636458629725507, "alpha_spy_m1d": -0.02238590727502643, "alpha_c_m1d": -0.02238590727502643, "bench_spy_m1d": -0.014749448645300922, "bench_c_m1d": -0.014749448645300922, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.07369225909965138, "ret_signed_p1d": -0.07369225909965138, "alpha_spy_p1d": -0.015302570631451351, "alpha_c_p1d": -0.015302570631451351, "bench_spy_p1d": 0.05838968846820003, "bench_c_p1d": 0.05838968846820003, "ret_p1w": -0.029400551434214717, "ret_signed_p1w": 0.029400551434214717, "alpha_spy_p1w": 0.026807238825769075, "alpha_c_p1w": 0.026807238825769075, "bench_spy_p1w": -0.0025933126084456415, "bench_c_p1w": -0.0025933126084456415, "ret_p1m": 0.08171055158496743, "ret_signed_p1m": -0.08171055158496743, "alpha_spy_p1m": 0.04912911845709966, "alpha_c_p1m": 0.04912911845709966, "bench_spy_p1m": 0.1308396700420671, "bench_c_p1m": 0.1308396700420671, "ret_p3m": 0.2478044917440354, "ret_signed_p3m": -0.2478044917440354, "alpha_spy_p3m": 0.016375004553619954, "alpha_c_p3m": 0.016375004553619954, "bench_spy_p3m": 0.26417949629765536, "bench_c_p3m": 0.26417949629765536, "ret_p6m": 0.415043933469875, "ret_signed_p6m": -0.415043933469875, "alpha_spy_p6m": -0.04822223259014913, "alpha_c_p6m": -0.04822223259014913, "bench_spy_p6m": 0.3668217008797259, "bench_c_p6m": 0.3668217008797259, "price_path": [0.152, 0.1355, 0.1355, 0.1355, 0.1833, 0.1978, 0.2058, 0.2528, 0.2955, 0.2971, 0.2986, 0.3036, 0.3303, 0.3368, 0.3242, 0.3414, 0.3414, 0.4357, 0.4143, 0.428, 0.4051, 0.386, 0.4131, 0.4124, 0.4005, 0.3856, 0.4353, 0.4712, 0.4055, 0.4162, 0.5514, 0.5277, 0.5758, 0.575, 0.5307, 0.5143, 0.5143, 0.5342, 0.5674, 0.5624, 0.5548, 0.4628, 0.3704, 0.3154, 0.239, 0.2932, 0.2543, 0.2616, 0.3184, 0.2299, 0.2096, 0.0756, 0.1061, 0.0019, -0.1367, -0.1371, -0.2253, -0.278, -0.4341, -0.2176, -0.1856, -0.1447, 0.0076, 0.0, 0.0737, 0.0416, 0.0626, 0.0661, -0.0294, -0.0958, -0.1287, -0.0076, -0.0172, 0.0286, 0.0351, 0.0351, 0.0687, 0.0596, 0.0466, 0.0321, 0.0691, 0.0764, 0.0382, 0.0783, 0.0817, 0.126, 0.1485, 0.1501, 0.1978, 0.1558, 0.084, 0.047, 0.0718, 0.0622, 0.181, 0.252, 0.2081, 0.2371, 0.2608, 0.252, 0.2398, 0.2837, 0.2753, 0.3165, 0.3081, 0.3299, 0.3299, 0.3196, 0.3318, 0.3039, 0.3868, 0.3677, 0.3673, 0.4032, 0.391, 0.4208, 0.4158, 0.3971, 0.3299, 0.1875, 0.231, 0.2474, 0.2787, 0.2711, 0.2753, 0.2333, 0.2478, 0.2619, 0.163, 0.1676, 0.1306, 0.1313, 0.1867, 0.1619, 0.1714, 0.1714, 0.2417, 0.2532, 0.2955, 0.2658, 0.2654, 0.2111, 0.181, 0.2528, 0.2352, 0.2428, 0.2852, 0.2428, 0.247, 0.2283, 0.1905, 0.1833, 0.1764, 0.1844, 0.1546, 0.1554, 0.1909, 0.2478, 0.2677, 0.3253, 0.2562, 0.2321, 0.1917, 0.1775, 0.163, 0.1451, 0.1256, 0.1485, 0.1233, 0.1993, 0.1772, 0.1852, 0.1909, 0.2333, 0.2524, 0.2906, 0.2841, 0.3097, 0.3123, 0.2757, 0.2692, 0.2692, 0.3104, 0.3368, 0.3738, 0.412, 0.449, 0.4307, 0.438, 0.415]}
{"unit_id": "quote:1242948963638153217", "ticker_idx": 2, "ts": "2020-03-25T22:58:20+00:00", "symbol": "LYFT", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$UBER and $LYFT suffer from #COVID-19", "tweet_type": "prediction", "timeline": "years", "summary": "ARK raises TSLA conviction in 5-yr model despite COVID; UBER and LYFT seen suffering as Tesla ride-hailing fills the gap.", "resolved_tickers": ["LYFT"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": "Software - Application", "unit_kind": "quote", "lang": "en", "tweet_text": ".@ARKInvest would like to share our five-year TSLA model, this time adjusted for the impact of the #coronavirus. If anything, our conviction in #Tesla has increased. As $UBER and $LYFT suffer from #COVID-19, #Tesla’s ride-hailing should be able to fill the gap, boosting its CF.", "reply_text": null, "parent_text": null, "quoted_text": "Updated our open source Tesla model extract...\n\nhttps://t.co/UcAHeBgJEe\n\nGreat work by @skorusARK and @TashaARK (and the whole team) builds off of the blog here: \n\nhttps://t.co/DOH208DRio\n\nAlso incorporates anticipated coronavirus impact and adds monte carlo model. https://t.co/ULonL3xunB", "parent_author": null, "ret_m1d": -0.03184262156361639, "ret_signed_m1d": 0.03184262156361639, "alpha_spy_m1d": 0.01709317291831547, "alpha_c_m1d": 0.01709317291831547, "bench_spy_m1d": -0.014749448645300922, "bench_c_m1d": -0.014749448645300922, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.07119855874053571, "ret_signed_p1d": -0.07119855874053571, "alpha_spy_p1d": -0.012808870272335682, "alpha_c_p1d": -0.012808870272335682, "bench_spy_p1d": 0.05838968846820003, "bench_c_p1d": 0.05838968846820003, "ret_p1w": -0.15921290309372627, "ret_signed_p1w": 0.15921290309372627, "alpha_spy_p1w": 0.15661959048528062, "alpha_c_p1w": 0.15661959048528062, "bench_spy_p1w": -0.0025933126084456415, "bench_c_p1w": -0.0025933126084456415, "ret_p1m": 0.07656527124271095, "ret_signed_p1m": -0.07656527124271095, "alpha_spy_p1m": 0.05427439879935614, "alpha_c_p1m": 0.05427439879935614, "bench_spy_p1m": 0.1308396700420671, "bench_c_p1m": 0.1308396700420671, "ret_p3m": 0.2254024710229734, "ret_signed_p3m": -0.2254024710229734, "alpha_spy_p3m": 0.038777025274681964, "alpha_c_p3m": 0.038777025274681964, "bench_spy_p3m": 0.26417949629765536, "bench_c_p3m": 0.26417949629765536, "ret_p6m": 0.11771015808132335, "ret_signed_p6m": -0.11771015808132335, "alpha_spy_p6m": 0.24911154279840253, "alpha_c_p6m": 0.24911154279840253, "bench_spy_p6m": 0.3668217008797259, "bench_c_p6m": 0.3668217008797259, "price_path": [0.6401, 0.5564, 0.5392, 0.5392, 0.5592, 0.5453, 0.542, 0.5832, 0.6129, 0.6311, 0.6479, 0.6583, 0.7059, 0.6844, 0.6755, 0.6644, 0.6644, 0.7166, 0.6984, 0.7345, 0.7327, 0.6945, 0.7249, 0.6758, 0.7098, 0.6987, 0.7159, 0.7889, 0.7195, 0.6966, 0.786, 0.922, 0.9299, 0.7338, 0.6826, 0.5989, 0.5989, 0.6136, 0.6544, 0.6268, 0.5993, 0.5213, 0.4962, 0.4261, 0.3517, 0.3639, 0.3206, 0.3227, 0.4408, 0.3267, 0.2887, 0.1739, 0.1767, 0.0379, -0.1456, -0.1352, -0.3159, -0.3324, -0.4258, -0.2594, -0.239, -0.1911, -0.0318, 0.0, 0.0712, -0.0125, -0.0369, -0.0394, -0.1592, -0.1968, -0.2129, -0.0794, -0.0161, 0.0605, 0.0852, 0.0852, 0.097, 0.0912, 0.0157, -0.029, 0.0401, 0.0769, 0.0465, 0.0984, 0.0766, 0.1435, 0.2279, 0.1714, 0.2186, 0.1746, 0.0592, -0.0329, -0.0454, -0.0655, 0.137, 0.171, 0.122, 0.0565, 0.015, -0.0082, 0.0072, 0.0887, 0.098, 0.1027, 0.0873, 0.1184, 0.1184, 0.1617, 0.2075, 0.1352, 0.1184, 0.166, 0.1335, 0.2322, 0.2907, 0.3814, 0.4662, 0.4029, 0.3796, 0.2637, 0.3199, 0.2955, 0.3134, 0.2637, 0.2819, 0.2458, 0.2254, 0.2737, 0.1733, 0.1875, 0.1546, 0.1828, 0.181, 0.1449, 0.1385, 0.1385, 0.1886, 0.107, 0.1513, 0.0698, 0.0984, 0.0308, -0.0011, 0.1013, 0.0583, 0.0637, 0.0937, 0.0909, 0.1034, 0.1041, 0.0884, 0.0694, 0.0551, 0.0694, 0.0547, 0.0458, 0.0408, 0.0912, 0.1052, 0.1571, 0.0801, 0.1109, 0.0966, 0.0919, 0.0333, 0.02, -0.0279, -0.0004, 0.0068, 0.0648, 0.0351, 0.0369, 0.0379, 0.0562, 0.0626, 0.1009, 0.0615, 0.053, 0.0236, 0.0218, 0.0365, 0.0365, 0.0769, 0.0687, 0.0558, 0.1005, 0.1438, 0.0816, 0.0984, 0.1177]}
{"unit_id": "quote:942538848613163008", "ticker_idx": 0, "ts": "2017-12-17T23:35:47+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": false, "explicit_audit": "flipped_to_implicit", "polarity_reversed": false, "quote": "$XBT could drop more than 50% now and still be in a strong bull market", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Even a >50% BTC drawdown would leave the bull market intact; structurally bullish on Bitcoin.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "$XBT could drop more than 50% now and still be in a strong bull market. https://t.co/rGot1e7b8f", "reply_text": null, "parent_text": null, "quoted_text": "can you spot the 2013 crash https://t.co/kYbUavM9Lf", "parent_author": null, "ret_m1d": -0.0736258323992206, "ret_signed_m1d": -0.0736258323992206, "alpha_spy_m1d": -0.0673245972516403, "alpha_c_m1d": null, "bench_spy_m1d": -0.0063012351475802975, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.0699741582000456, "ret_signed_p1d": -0.0699741582000456, "alpha_spy_p1d": -0.06613367744895737, "alpha_c_p1d": null, "bench_spy_p1d": -0.0038404807510882266, "bench_c_p1d": null, "ret_p1w": -0.26616859807468884, "ret_signed_p1w": -0.26616859807468884, "alpha_spy_p1w": -0.263596146927635, "alpha_c_p1w": null, "bench_spy_p1w": -0.0025724511470538447, "bench_c_p1w": null, "ret_p1m": -0.39885004501112253, "ret_signed_p1m": -0.39885004501112253, "alpha_spy_p1m": -0.43154972121336055, "alpha_c_p1m": null, "bench_spy_p1m": 0.032699676202238015, "bench_c_p1m": null, "ret_p3m": -0.5657228295800223, "ret_signed_p3m": -0.5657228295800223, "alpha_spy_p3m": -0.5910771516463553, "alpha_c_p3m": null, "bench_spy_p3m": 0.025354322066333035, "bench_c_p3m": null, "ret_p6m": -0.6556298389511233, "ret_signed_p6m": -0.6556298389511233, "alpha_spy_p6m": -0.6997655688606237, "alpha_c_p6m": null, "bench_spy_p6m": 0.04413572990950043, "bench_c_p6m": null, "price_path": [-0.7957, -0.81, -0.8101, -0.7946, -0.7964, -0.7802, -0.7816, -0.7822, -0.7693, -0.7741, -0.7787, -0.7736, -0.7713, -0.7503, -0.7498, -0.7475, -0.715, -0.7046, -0.7005, -0.7067, -0.7075, -0.7013, -0.6855, -0.6897, -0.7109, -0.6991, -0.6911, -0.6976, -0.6793, -0.6616, -0.646, -0.6297, -0.6229, -0.6326, -0.6262, -0.6097, -0.6263, -0.6538, -0.6568, -0.6528, -0.6173, -0.5882, -0.5967, -0.571, -0.5777, -0.5682, -0.5794, -0.5682, -0.4863, -0.4738, -0.4827, -0.4646, -0.4258, -0.3901, -0.3766, -0.2523, -0.0635, -0.1331, -0.1139, -0.0889, -0.1416, -0.1334, -0.0736, 0.0, -0.07, -0.1302, -0.1732, -0.2764, -0.2662, -0.1577, -0.1714, -0.2358, -0.2332, -0.2855, -0.2162, -0.2047, -0.1839, -0.0881, -0.2063, -0.2364, -0.2166, -0.2986, -0.2686, -0.277, -0.3989, -0.4146, -0.3997, -0.3927, -0.4281, -0.4314, -0.4057, -0.4109, -0.4155, -0.409, -0.4713, -0.4653, -0.5202, -0.538, -0.6361, -0.5943, -0.6013, -0.5676, -0.5429, -0.533, -0.5502, -0.5033, -0.4681, -0.4646, -0.4127, -0.4034, -0.4407, -0.4766, -0.4611, -0.4576, -0.4389, -0.456, -0.4271, -0.42, -0.3945, -0.436, -0.4786, -0.5085, -0.5115, -0.5184, -0.519, -0.5673, -0.5657, -0.5638, -0.5485, -0.5337, -0.5328, -0.5434, -0.5354, -0.5705, -0.5902, -0.5838, -0.6251, -0.6395, -0.6294, -0.6099, -0.6414, -0.6436, -0.6528, -0.6458, -0.6424, -0.6354, -0.5873, -0.5869, -0.5784, -0.5866, -0.5729, -0.5661, -0.5372, -0.5328, -0.4927, -0.5372, -0.5144, -0.5298, -0.5166, -0.5229, -0.5168, -0.4902, -0.4925, -0.5096, -0.5169, -0.5121, -0.5268, -0.5584, -0.544, -0.5548, -0.5622, -0.5765, -0.5683, -0.5595, -0.5793, -0.6046, -0.6031, -0.6087, -0.6267, -0.6091, -0.6125, -0.6079, -0.6055, -0.6069, -0.6006, -0.5996, -0.5983, -0.6011, -0.6386, -0.6556]}
{"unit_id": "quote:936619177208614919", "ticker_idx": 0, "ts": "2017-12-01T15:33:08+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "the price of one of $TSLA's primary inputs will decline: good news", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Battery cost deflation from China EV race is bullish for TSLA as a key input price falls.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "If so, the price of one of $TSLA's primary inputs will decline: good news. https://t.co/0KnXAF5JcQ", "reply_text": null, "parent_text": null, "quoted_text": "Will China's push for EV batteries cause a similar race to the bottom that happened with solar cells? https://t.co/nbYIeCsjfC", "parent_author": null, "ret_m1d": 0.007568601829382127, "ret_signed_m1d": 0.007568601829382127, "alpha_spy_m1d": 0.005488764568774007, "alpha_c_m1d": 0.007154796018567167, "bench_spy_m1d": 0.0020798372606081195, "bench_c_m1d": 0.00041380581081496004, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.004338902370729869, "ret_signed_p1d": -0.004338902370729869, "alpha_spy_p1d": -0.0031288595622945836, "alpha_c_p1d": -0.015931727060319645, "bench_spy_p1d": -0.0012100428084352854, "bench_c_p1d": 0.011592824689589776, "ret_p1w": 0.02805600149337306, "ret_signed_p1w": 0.02805600149337306, "alpha_spy_p1w": 0.02408529526916725, "alpha_c_p1w": 0.02143159151406504, "bench_spy_p1w": 0.003970706224205811, "bench_c_p1w": 0.006624409979308021, "ret_p1m": 0.015724379316781834, "ret_signed_p1m": 0.015724379316781834, "alpha_spy_p1m": 0.0014912054841997868, "alpha_c_p1m": -0.009282221503521315, "bench_spy_p1m": 0.014233173832582047, "bench_c_p1m": 0.02500660082030315, "ret_p3m": 0.11917267127123399, "ret_signed_p3m": 0.11917267127123399, "alpha_spy_p3m": 0.08673476083100562, "alpha_c_p3m": 0.038288732649684354, "bench_spy_p3m": 0.03243791044022837, "bench_c_p3m": 0.08088393862154963, "ret_p6m": -0.09030110136270297, "ret_signed_p6m": -0.09030110136270297, "alpha_spy_p6m": -0.1287819122185495, "alpha_c_p6m": -0.195825872152542, "bench_spy_p6m": 0.03848081085584654, "bench_c_p6m": 0.10552477078983902, "price_path": [0.1405, 0.124, 0.1438, 0.1203, 0.1865, 0.1834, 0.1948, 0.232, 0.2391, 0.256, 0.2237, 0.2198, 0.1956, 0.1454, 0.1255, 0.1263, 0.1124, 0.1079, 0.1128, 0.1142, 0.1357, 0.1582, 0.1592, 0.1643, 0.1188, 0.16, 0.1568, 0.1603, 0.16, 0.1438, 0.1606, 0.1733, 0.1477, 0.1258, 0.0995, 0.1005, 0.063, 0.0641, 0.0468, 0.0442, 0.0816, 0.0475, -0.0237, -0.0014, -0.0122, -0.0016, -0.007, -0.0115, -0.0115, 0.0289, 0.0071, 0.0156, 0.0195, 0.0278, 0.0072, 0.0368, 0.0198, 0.0198, 0.0294, 0.0335, 0.036, 0.0033, 0.0076, 0.0, -0.0043, -0.0092, 0.022, 0.0154, 0.0281, 0.073, 0.1126, 0.106, 0.1023, 0.1204, 0.1055, 0.0802, 0.0732, 0.082, 0.0609, 0.0609, 0.0351, 0.0167, 0.0288, 0.0157, 0.0157, 0.0457, 0.035, 0.0264, 0.0328, 0.0975, 0.0886, 0.0922, 0.1025, 0.0969, 0.0969, 0.1094, 0.1325, 0.1241, 0.1419, 0.1469, 0.1509, 0.1284, 0.1015, 0.1185, 0.1403, 0.1282, 0.1559, 0.1394, 0.1214, 0.0868, 0.0895, 0.1255, 0.0284, 0.0127, 0.03, 0.0559, 0.0515, 0.0898, 0.0945, 0.0945, 0.0921, 0.0873, 0.1293, 0.1485, 0.166, 0.145, 0.1192, 0.0796, 0.0933, 0.0875, 0.0707, 0.0841, 0.0736, 0.0673, 0.1272, 0.1152, 0.0656, 0.0622, 0.0483, 0.0229, 0.0131, 0.0326, 0.0084, -0.0163, -0.0077, -0.0892, -0.159, -0.1318, -0.1318, -0.1763, -0.1272, -0.0639, -0.0026, -0.0236, -0.055, -0.006, -0.0183, -0.0406, -0.0202, -0.05, -0.0615, -0.043, -0.021, -0.0531, -0.0756, -0.0753, -0.0843, -0.0687, -0.0406, -0.0412, -0.0216, -0.0176, -0.072, -0.0406, -0.0123, -0.0149, 0.001, -0.0049, -0.0178, -0.0475, -0.0729, -0.0654, -0.0717, -0.0969, -0.0719, -0.1028, -0.0896, -0.0936, -0.0903, -0.0903]}
{"unit_id": "quote:1074862579376422912", "ticker_idx": 0, "ts": "2018-12-18T03:03:03+00:00", "symbol": "US equity market", "kind": "index", "geography": "US", "sub_sector": null, "direction": "long", "conviction": "high", "explicit": false, "explicit_audit": "kept_implicit_alias_present", "polarity_reversed": false, "quote": "The US is on the threshold of a bull market much like that at the start of the roaring 20's!", "tweet_type": "prediction", "timeline": "years", "summary": "Bullish on broad US equities; calls it the threshold of a roaring-20s-style bull market.", "resolved_tickers": ["SPY"], "resolution_method": "etf", "resolution_reason": "US equity market; SPY is standard proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": ".@ARKInvest  would be happy to debate @TruthGundlach any time.  The US is on the threshold of a bull market much like that at the start of the roaring 20’s!", "reply_text": null, "parent_text": null, "quoted_text": "Gundlach's last big call was in April when he said to go long $XOP and short $FB. He nailed the second part but unfort $XOP down even more, so losing trade so far.. https://t.co/xUdk22biN4", "parent_author": null, "ret_m1d": 0.0010976042628452198, "ret_signed_m1d": 0.0010976042628452198, "alpha_spy_m1d": 0.0, "alpha_c_m1d": 0.0, "bench_spy_m1d": 0.0010976042628452198, "bench_c_m1d": 0.0010976042628452198, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.01497574717895711, "ret_signed_p1d": -0.01497574717895711, "alpha_spy_p1d": 0.0, "alpha_c_p1d": 0.0, "bench_spy_p1d": -0.01497574717895711, "bench_c_p1d": -0.01497574717895711, "ret_p1w": -0.07594293101864802, "ret_signed_p1w": -0.07594293101864802, "alpha_spy_p1w": 0.0, "alpha_c_p1w": 0.0, "bench_spy_p1w": -0.07594293101864802, "bench_c_p1w": -0.07594293101864802, "ret_p1m": 0.029104726983937734, "ret_signed_p1m": 0.029104726983937734, "alpha_spy_p1m": 0.0, "alpha_c_p1m": 0.0, "bench_spy_p1m": 0.029104726983937734, "bench_c_p1m": 0.029104726983937734, "ret_p3m": 0.11415674695884581, "ret_signed_p3m": 0.11415674695884581, "alpha_spy_p3m": 0.0, "alpha_c_p3m": 0.0, "bench_spy_p3m": 0.11415674695884581, "bench_c_p3m": 0.11415674695884581, "ret_p6m": 0.14219794968516575, "ret_signed_p6m": 0.14219794968516575, "alpha_spy_p6m": 0.0, "alpha_c_p6m": 0.0, "bench_spy_p6m": 0.14219794968516575, "bench_c_p6m": 0.14219794968516575, "price_path": [0.1457, 0.1447, 0.1409, 0.1398, 0.1364, 0.1396, 0.1397, 0.1437, 0.143, 0.1436, 0.1347, 0.1284, 0.1284, 0.1267, 0.091, 0.067, 0.0818, 0.0757, 0.0993, 0.0995, 0.0836, 0.083, 0.0781, 0.0726, 0.0401, 0.0588, 0.0402, 0.0344, 0.0497, 0.061, 0.0723, 0.0659, 0.0718, 0.0786, 0.1017, 0.0997, 0.0889, 0.0686, 0.0666, 0.0593, 0.0703, 0.0731, 0.055, 0.0354, 0.039, 0.039, 0.032, 0.0487, 0.0522, 0.0764, 0.0741, 0.0806, 0.095, 0.0595, 0.0595, 0.0579, 0.0333, 0.0352, 0.0355, 0.0407, 0.0403, 0.0211, 0.0011, 0.0, -0.015, -0.031, -0.0509, -0.0759, -0.0759, -0.0293, -0.0218, -0.0231, -0.0145, -0.0145, -0.0135, -0.037, -0.0048, 0.0031, 0.0125, 0.0172, 0.0208, 0.0212, 0.015, 0.0266, 0.0291, 0.0369, 0.0507, 0.0507, 0.0365, 0.0387, 0.0392, 0.048, 0.0401, 0.0387, 0.0551, 0.0644, 0.0649, 0.0724, 0.0769, 0.0755, 0.0652, 0.0665, 0.0671, 0.0808, 0.0843, 0.0819, 0.0937, 0.0937, 0.0956, 0.0978, 0.0939, 0.1007, 0.1022, 0.1014, 0.101, 0.0989, 0.1058, 0.1017, 0.1002, 0.0936, 0.0844, 0.0823, 0.098, 0.1021, 0.1094, 0.1087, 0.1142, 0.1182, 0.1185, 0.1151, 0.1277, 0.106, 0.1052, 0.1134, 0.1076, 0.1118, 0.1188, 0.1321, 0.1326, 0.1344, 0.1374, 0.1429, 0.1438, 0.1379, 0.1418, 0.1415, 0.1492, 0.1485, 0.1492, 0.1464, 0.1487, 0.1487, 0.1496, 0.16, 0.1574, 0.1567, 0.1621, 0.1639, 0.1645, 0.1557, 0.1532, 0.1645, 0.1597, 0.1404, 0.1388, 0.1353, 0.141, 0.1124, 0.1224, 0.129, 0.1395, 0.1321, 0.1246, 0.1348, 0.1313, 0.1174, 0.12, 0.12, 0.1096, 0.1021, 0.1051, 0.0902, 0.0875, 0.1111, 0.1207, 0.128, 0.1393, 0.1445, 0.1442, 0.1422]}
{"unit_id": "quote:962717644792229890", "ticker_idx": 0, "ts": "2018-02-11T15:59:07+00:00", "symbol": "US equity market", "kind": "index", "geography": "US", "sub_sector": null, "direction": "long", "conviction": "high", "explicit": false, "explicit_audit": "kept_implicit_alias_present", "polarity_reversed": false, "quote": "The equity market is climbing the wall of worry, which will strengthen and extend the bull market.", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish US equities; record outflows are a wall-of-worry signal that strengthens and extends the bull market.", "resolved_tickers": ["SPY"], "resolution_method": "etf", "resolution_reason": "US equity market; SPY is standard proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "The equity market is climbing the wall of worry, which will strengthen and extend the bull market.  Ironically, if the flows were one way, the market’s strength would depend on weaker and weaker hands.  Battle tests are good, bringing back investors with conviction. https://t.co/LGdBOqfH7J", "reply_text": null, "parent_text": null, "quoted_text": "Investors withdrew $22.9 billion from U.S. stock mutual funds and exchange-traded funds during the first week of February, the highest total on record https://t.co/o423c2Io1u https://t.co/fTzUyNPftp", "parent_author": null, "ret_m1d": -0.014471870705175305, "ret_signed_m1d": -0.014471870705175305, "alpha_spy_m1d": 0.0, "alpha_c_m1d": 0.0, "bench_spy_m1d": -0.014471870705175305, "bench_c_m1d": -0.014471870705175305, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0024876049337867467, "ret_signed_p1d": 0.0024876049337867467, "alpha_spy_p1d": 0.0, "alpha_c_p1d": 0.0, "bench_spy_p1d": 0.0024876049337867467, "bench_c_p1d": 0.0024876049337867467, "ret_p1w": 0.029283227548816626, "ret_signed_p1w": 0.029283227548816626, "alpha_spy_p1w": 0.0, "alpha_c_p1w": 0.0, "bench_spy_p1w": 0.029283227548816626, "bench_c_p1w": 0.029283227548816626, "ret_p1m": 0.042888611501040286, "ret_signed_p1m": 0.042888611501040286, "alpha_spy_p1m": 0.0, "alpha_c_p1m": 0.0, "bench_spy_p1m": 0.042888611501040286, "bench_c_p1m": 0.042888611501040286, "ret_p3m": 0.029281006122968245, "ret_signed_p3m": 0.029281006122968245, "alpha_spy_p3m": 0.0, "alpha_c_p3m": 0.0, "bench_spy_p3m": 0.029281006122968245, "bench_c_p3m": 0.029281006122968245, "ret_p6m": 0.08544283307585476, "ret_signed_p6m": 0.08544283307585476, "alpha_spy_p6m": 0.0, "alpha_c_p6m": 0.0, "bench_spy_p6m": 0.08544283307585476, "bench_c_p6m": 0.08544283307585476, "price_path": [-0.0385, -0.0303, -0.0331, -0.0315, -0.0251, -0.026, -0.026, -0.0238, -0.0242, -0.0143, -0.0149, -0.0063, -0.0084, -0.0096, -0.0131, -0.013, -0.0098, -0.0044, -0.0014, 0.0003, 0.0002, -0.0039, 0.0044, 0.0108, 0.0069, 0.0064, 0.0084, 0.0082, 0.0082, 0.007, 0.0075, 0.0095, 0.0057, 0.0057, 0.0129, 0.0193, 0.0236, 0.0305, 0.0323, 0.0347, 0.0331, 0.0406, 0.0474, 0.0474, 0.0438, 0.0538, 0.052, 0.0568, 0.0654, 0.0676, 0.0672, 0.0677, 0.08, 0.0729, 0.0619, 0.0624, 0.0612, 0.0381, -0.0053, 0.0143, 0.0088, -0.0291, -0.0145, 0.0, 0.0025, 0.016, 0.029, 0.0293, 0.0293, 0.0228, 0.0178, 0.0191, 0.0353, 0.0473, 0.0343, 0.0238, 0.0089, 0.0141, 0.0258, 0.0284, 0.028, 0.033, 0.051, 0.0497, 0.0429, 0.0375, 0.0364, 0.0375, 0.0235, 0.0252, 0.0233, -0.0023, -0.0236, 0.0031, -0.0139, -0.0168, -0.0043, -0.0043, -0.0258, -0.0133, -0.0027, 0.0051, -0.0173, -0.0124, 0.0033, -0.002, 0.0062, 0.0033, 0.0115, 0.0224, 0.0231, 0.0174, 0.0088, 0.0087, -0.0049, -0.0025, 0.0077, 0.0086, 0.0009, 0.0026, -0.0041, -0.0063, 0.0066, 0.01, 0.01, 0.0197, 0.0293, 0.0324, 0.0329, 0.0258, 0.0301, 0.0292, 0.0267, 0.0344, 0.0315, 0.0344, 0.0322, 0.0298, 0.0298, 0.0179, 0.0315, 0.0252, 0.0353, 0.0402, 0.0409, 0.0496, 0.0495, 0.0526, 0.054, 0.0554, 0.052, 0.0547, 0.0533, 0.0512, 0.0471, 0.0489, 0.0423, 0.0442, 0.03, 0.0323, 0.0238, 0.0296, 0.0311, 0.0333, 0.0296, 0.0296, 0.038, 0.0468, 0.0563, 0.0601, 0.0523, 0.0618, 0.0627, 0.0617, 0.066, 0.0683, 0.0642, 0.063, 0.065, 0.0704, 0.0795, 0.0769, 0.0696, 0.064, 0.0693, 0.0675, 0.0733, 0.0779, 0.0819, 0.0854]}
{"unit_id": "quote:982366766629257216", "ticker_idx": 0, "ts": "2018-04-06T21:17:43+00:00", "symbol": "S&P 500", "kind": "index", "geography": "US", "sub_sector": null, "direction": "long", "conviction": "low", "explicit": false, "explicit_audit": "kept_implicit", "polarity_reversed": false, "quote": "I love the wall of worry....building the bull market in equities", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Endorses bullish equities view; wall of worry building the next bull market.", "resolved_tickers": ["SPY"], "resolution_method": "etf", "resolution_reason": "S&P 500 index; SPY is standard ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Great chart @fundstrat!  I love the wall of worry....building the bull market in equities. https://t.co/Qgx92jVbhu", "reply_text": null, "parent_text": null, "quoted_text": "MACRO: trade tensions causing stock volatility to rise to highest since 2009 but bond/USD vol are below avg.  This divergence &gt;2.5 std dev happened one other time since 1980, feb 1997-nov 1998... proved to be a major buy signal. AAII sentiment collapsed too. Stock over-reacting. https://t.co/P9vTjnyhCP", "parent_author": null, "ret_m1d": 0.02279375477393497, "ret_signed_m1d": 0.02279375477393497, "alpha_spy_m1d": 0.0, "alpha_c_m1d": 0.0, "bench_spy_m1d": 0.02279375477393497, "bench_c_m1d": 0.02279375477393497, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.004928625579429191, "ret_signed_p1d": 0.004928625579429191, "alpha_spy_p1d": 0.0, "alpha_c_p1d": 0.0, "bench_spy_p1d": 0.004928625579429191, "bench_c_p1d": 0.004928625579429191, "ret_p1w": 0.020907017891323765, "ret_signed_p1w": 0.020907017891323765, "alpha_spy_p1w": 0.0, "alpha_c_p1w": 0.0, "bench_spy_p1w": 0.020907017891323765, "bench_c_p1w": 0.020907017891323765, "ret_p1m": 0.027722114419133526, "ret_signed_p1m": 0.027722114419133526, "alpha_spy_p1m": 0.0, "alpha_c_p1m": 0.0, "bench_spy_p1m": 0.027722114419133526, "bench_c_p1m": 0.027722114419133526, "ret_p3m": 0.04772994219321136, "ret_signed_p3m": 0.04772994219321136, "alpha_spy_p3m": 0.0, "alpha_c_p3m": 0.0, "bench_spy_p3m": 0.04772994219321136, "bench_c_p3m": 0.04772994219321136, "ret_p6m": 0.13339959084688946, "ret_signed_p6m": 0.13339959084688946, "alpha_spy_p6m": 0.0, "alpha_c_p6m": 0.0, "bench_spy_p6m": 0.13339959084688946, "bench_c_p6m": 0.13339959084688946, "price_path": [0.0528, 0.0512, 0.0589, 0.0658, 0.0658, 0.0622, 0.0723, 0.0705, 0.0754, 0.0841, 0.0864, 0.086, 0.0864, 0.099, 0.0917, 0.0805, 0.0811, 0.0798, 0.0563, 0.0122, 0.0321, 0.0265, -0.012, 0.0028, 0.0176, 0.0201, 0.0339, 0.0471, 0.0474, 0.0474, 0.0408, 0.0356, 0.037, 0.0535, 0.0657, 0.0524, 0.0418, 0.0266, 0.0319, 0.0438, 0.0465, 0.0461, 0.0512, 0.0695, 0.0681, 0.0612, 0.0558, 0.0546, 0.0558, 0.0415, 0.0432, 0.0412, 0.0152, -0.0064, 0.0208, 0.0034, 0.0004, 0.0132, 0.0132, -0.0087, 0.004, 0.0148, 0.0228, 0.0, 0.0049, 0.0209, 0.0156, 0.0239, 0.0209, 0.0293, 0.0403, 0.0411, 0.0353, 0.0265, 0.0264, 0.0126, 0.0151, 0.0254, 0.0263, 0.0184, 0.0203, 0.0134, 0.0112, 0.0243, 0.0277, 0.0277, 0.0377, 0.0474, 0.0506, 0.0511, 0.0438, 0.0482, 0.0473, 0.0447, 0.0526, 0.0496, 0.0525, 0.0504, 0.0479, 0.0479, 0.0358, 0.0496, 0.0432, 0.0534, 0.0584, 0.0592, 0.0681, 0.068, 0.0711, 0.0725, 0.0739, 0.0705, 0.0732, 0.0718, 0.0696, 0.0655, 0.0673, 0.0606, 0.0626, 0.0481, 0.0504, 0.0417, 0.0477, 0.0492, 0.0514, 0.0477, 0.0477, 0.0563, 0.0652, 0.0748, 0.0787, 0.0708, 0.0805, 0.0813, 0.0804, 0.0847, 0.087, 0.0829, 0.0817, 0.0837, 0.0892, 0.0984, 0.0958, 0.0884, 0.0827, 0.0881, 0.0863, 0.0922, 0.0968, 0.1009, 0.1045, 0.104, 0.1025, 0.0951, 0.091, 0.098, 0.0898, 0.0986, 0.1025, 0.1049, 0.1074, 0.1068, 0.1053, 0.112, 0.1208, 0.1213, 0.1273, 0.1228, 0.1228, 0.1228, 0.1209, 0.1178, 0.1145, 0.1123, 0.1143, 0.1179, 0.1182, 0.1248, 0.125, 0.119, 0.1251, 0.1263, 0.1354, 0.1344, 0.1306, 0.1296, 0.1262, 0.1294, 0.1295, 0.1334]}
{"unit_id": "quote:1687585446237257728", "ticker_idx": 0, "ts": "2023-08-04T22:04:58+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "bitcoin is likely to have on humanity", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Cathie Wood bullish on Bitcoin's profound impact on humanity.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Episode 1 of the Bitcoin Brainstorm brings to life the profound impact that bitcoin is likely to have on humanity. By the end of it, truth be told, I had goosebumps. Thank you Rod @bitkite and Yassine for hitting a home run in your first at-bat!", "reply_text": null, "parent_text": null, "quoted_text": "Episode 1 of the Bitcoin Brainstorm is here. An incredible conversation about building and scaling on Bitcoin, featuring:\n\n@CathieDWood \n@jackmallers \n@PrestonPysh \n@harry_sudock \n@obi\nw/ co-host @bitkite \n\nThe future of Bitcoin is bright.\n\nhttps://t.co/ZHKiAS19cI", "parent_author": null, "ret_m1d": 0.003597288312759739, "ret_signed_m1d": 0.003597288312759739, "alpha_spy_m1d": -0.0009459275002448031, "alpha_c_m1d": null, "bench_spy_m1d": 0.004543215813004542, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.0036625848493896385, "ret_signed_p1d": 0.0036625848493896385, "alpha_spy_p1d": -0.005065823154697613, "alpha_c_p1d": null, "bench_spy_p1d": 0.008728408004087251, "bench_c_p1d": null, "ret_p1w": 0.011130976992711483, "ret_signed_p1w": 0.011130976992711483, "alpha_spy_p1w": 0.01372716092619819, "alpha_c_p1w": null, "bench_spy_p1w": -0.0025961839334867065, "bench_c_p1w": null, "ret_p1m": -0.1121849584859802, "ret_signed_p1m": -0.1121849584859802, "alpha_spy_p1m": -0.12198779092449019, "alpha_c_p1m": null, "bench_spy_p1m": 0.00980283243850999, "bench_c_p1m": null, "ret_p3m": 0.21886021939501954, "ret_signed_p3m": 0.21886021939501954, "alpha_spy_p3m": 0.2695734204111758, "alpha_c_p3m": null, "bench_spy_p3m": -0.050713201016156284, "bench_c_p3m": null, "ret_p6m": 0.48889418098359294, "ret_signed_p6m": 0.48889418098359294, "alpha_spy_p6m": 0.38103686007937654, "alpha_c_p6m": null, "bench_spy_p6m": 0.1078573209042164, "bench_c_p6m": null, "price_path": [-0.0487, -0.05, -0.0713, -0.078, -0.0647, -0.0701, -0.0576, -0.0771, -0.0751, -0.0765, -0.0636, -0.0942, -0.0894, -0.081, -0.0457, -0.0472, -0.0638, -0.0775, -0.0628, -0.114, -0.0631, -0.0938, -0.0883, -0.0892, -0.1091, -0.1085, -0.1358, -0.1203, -0.0945, -0.0765, -0.0257, 0.0328, 0.0288, 0.0558, 0.0412, 0.0555, 0.0348, 0.0472, 0.0483, 0.0716, 0.0586, 0.0495, 0.0287, 0.0436, 0.0461, 0.0532, 0.0453, 0.0826, 0.0433, 0.0369, 0.0269, 0.0289, 0.0247, 0.0287, 0.0035, 0.0053, 0.0097, 0.0047, 0.0084, 0.0054, 0.0207, 0.0027, 0.0036, 0.0, 0.0037, 0.0238, 0.0168, 0.0122, 0.0111, 0.0115, 0.0033, -0.0128, -0.0829, -0.104, -0.1015, -0.1046, -0.0909, -0.1001, -0.1041, -0.1021, -0.0463, -0.0611, -0.1081, -0.1126, -0.1122, -0.1133, -0.1142, -0.0975, -0.109, -0.1345, -0.1115, -0.0979, -0.0872, -0.0848, -0.0798, -0.0641, -0.0668, -0.0862, -0.0858, -0.0955, -0.0983, -0.0936, -0.0706, -0.0744, -0.0531, -0.0565, -0.0438, -0.057, -0.0388, -0.0513, -0.0579, -0.0757, -0.0797, -0.0761, -0.0191, -0.0226, -0.0256, -0.0122, 0.0209, 0.138, 0.166, 0.1867, 0.1748, 0.1663, 0.1867, 0.1924, 0.2189, 0.2017, 0.1946, 0.2051, 0.2191, 0.2264, 0.2621, 0.2834, 0.2555, 0.2223, 0.3029, 0.2435, 0.2587, 0.289, 0.2318, 0.2875, 0.2826, 0.2974, 0.2814, 0.3012, 0.3021, 0.2971, 0.3307, 0.4439, 0.5161, 0.5047, 0.489, 0.5191, 0.4186, 0.4257, 0.4752, 0.4798, 0.4422, 0.466, 0.4539, 0.5014, 0.5089, 0.5133, 0.5001, 0.4625, 0.4942, 0.4662, 0.448, 0.5191, 0.5463, 0.4738, 0.5196, 0.519, 0.6155, 0.587, 0.6038, 0.5948, 0.4739, 0.4622, 0.4843, 0.4701, 0.4192, 0.4315, 0.3589, 0.3705, 0.3784, 0.3735, 0.4383, 0.4889]}
{"unit_id": "quote:904511765471428608", "ticker_idx": 0, "ts": "2017-09-04T01:09:44+00:00", "symbol": "crypto", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": false, "explicit_audit": "flipped_to_implicit", "polarity_reversed": false, "quote": "fear of another one is a healthy 'wall of worry' for #cryptoassets", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish crypto: the tech/telecom bubble fear is a healthy wall of worry, not a reason to bail.", "resolved_tickers": ["BTC-USD", "ETH-USD"], "resolution_method": "basket", "resolution_reason": "Broad crypto; BTC and ETH as primary proxies", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Yes, as a PM in the tech/telecom &amp; housing bubbles/busts, I believe that fear of another one is a healthy \"wall of worry\" for #cryptoassets. https://t.co/XFCTVNO3Sh", "reply_text": null, "parent_text": null, "quoted_text": "If you want to compare #cryptoassets to the tech &amp; telecom boom bubble, then realize we are &lt; 5% of the way there. https://t.co/kIacTPVD9k https://t.co/c5kQ8dd1y3", "parent_author": null, "ret_m1d": 0.1547808583323833, "ret_signed_m1d": 0.1547808583323833, "alpha_spy_m1d": 0.1547808583323833, "alpha_c_m1d": null, "bench_spy_m1d": 0.0, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.03309949569863302, "ret_signed_p1d": 0.03309949569863302, "alpha_spy_p1d": 0.04028152598302093, "alpha_c_p1d": null, "bench_spy_p1d": -0.007182030284387908, "bench_c_p1d": null, "ret_p1w": -0.01771353796690922, "ret_signed_p1w": -0.01771353796690922, "alpha_spy_p1w": -0.023241231155843534, "alpha_c_p1w": null, "bench_spy_p1w": 0.005527693188934313, "bench_c_p1w": null, "ret_p1m": 0.01916052431297821, "ret_signed_p1m": 0.01916052431297821, "alpha_spy_p1m": -0.006157814049759347, "alpha_c_p1m": null, "bench_spy_p1m": 0.025318338362737558, "bench_c_p1m": null, "ret_p3m": 1.4156871116209233, "ret_signed_p3m": 1.4156871116209233, "alpha_spy_p3m": 1.3411017610323845, "alpha_c_p3m": null, "bench_spy_p3m": 0.07458535058853877, "bench_c_p3m": null, "ret_p6m": 1.5318259194973516, "ret_signed_p6m": 1.5318259194973516, "alpha_spy_p6m": 1.4133555574191046, "alpha_c_p6m": null, "bench_spy_p6m": 0.11847036207824702, "bench_c_p6m": null, "price_path": [-0.3551, -0.3377, -0.3334, -0.3722, -0.3586, -0.4084, -0.4182, -0.4055, -0.3887, -0.3575, -0.3652, -0.3614, -0.3521, -0.415, -0.3975, -0.3922, -0.4006, -0.4144, -0.3947, -0.3859, -0.3858, -0.3842, -0.4055, -0.4399, -0.4482, -0.4337, -0.4434, -0.4728, -0.474, -0.4526, -0.4633, -0.3349, -0.3703, -0.3497, -0.3918, -0.4029, -0.3693, -0.3369, -0.3213, -0.3583, -0.3601, -0.3379, -0.3164, -0.2024, -0.1927, -0.211, -0.2018, -0.1383, 0.021, -0.0128, 0.0331, 0.0225, -0.0179, -0.0554, -0.0321, -0.02, 0.0232, 0.0319, 0.0345, 0.0809, 0.0777, 0.1103, 0.1548, 0.0, 0.0331, 0.0852, 0.0858, -0.0018, -0.0177, -0.0249, -0.0835, -0.2553, -0.1413, -0.0404, -0.0735, -0.078, -0.1429, -0.143, -0.0732, -0.0812, -0.0084, -0.0145, -0.0173, 0.0408, 0.0192, -0.0016, 0.0217, 0.0317, 0.1265, 0.1288, 0.1393, 0.2858, 0.333, 0.3516, 0.3232, 0.3197, 0.3475, 0.419, 0.3999, 0.3046, 0.3575, 0.3939, 0.3646, 0.4471, 0.5269, 0.5975, 0.6709, 0.7014, 0.6578, 0.6865, 0.7609, 0.6863, 0.5622, 0.5484, 0.5664, 0.7269, 0.8581, 0.8197, 0.9358, 0.9053, 0.9483, 0.8976, 0.9483, 1.3177, 1.3744, 1.3343, 1.4157, 1.5908, 1.7517, 1.813, 2.3736, 3.2253, 2.9113, 2.998, 3.111, 2.8732, 2.91, 3.1798, 3.512, 3.1963, 2.9243, 2.7303, 2.2651, 2.311, 2.8004, 2.7387, 2.4479, 2.4597, 2.2238, 2.5366, 2.5883, 2.6823, 3.1143, 2.581, 2.4453, 2.5345, 2.1645, 2.3002, 2.2622, 1.7124, 1.6411, 1.7087, 1.74, 1.5804, 1.5655, 1.6814, 1.6578, 1.6371, 1.6666, 1.3856, 1.4127, 1.1647, 1.0845, 0.6418, 0.8304, 0.799, 0.9511, 1.0624, 1.1072, 1.0297, 1.2412, 1.3998, 1.4158, 1.6498, 1.6919, 1.5235, 1.3617, 1.4316, 1.4471, 1.5318]}
{"unit_id": "quote:1154518653251051522", "ticker_idx": 0, "ts": "2019-07-25T22:27:51+00:00", "symbol": "EDIT", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "If $EDIT and $AGN can deliver milestones in this CRISPR trial showing that children born blind are gaining sight for the first time", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish EDIT and AGN if CRISPR in-body trial delivers sight-restoration milestones, transforming healthcare into a cures sector.", "resolved_tickers": ["EDIT"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLV", "bench_c_reason": "industry='Biotechnology'", "bench_c_industry": "Biotechnology", "unit_kind": "quote", "lang": "en", "tweet_text": "If $EDIT and $AGN can deliver milestones in this CRISPR trial showing that children born blind are gaining sight for the first time, then the “health care” sector will take on a profound new dimension: cures.", "reply_text": null, "parent_text": null, "quoted_text": "A trial using CRISPR inside the body (instead of in a lab dish) is about to get underway in the U.S. The hope: finding a treatment for an inherited form of blindness. By @MMarchioneAP \nhttps://t.co/qEfrqKLTO4", "parent_author": null, "ret_m1d": 0.04333868059388335, "ret_signed_m1d": 0.04333868059388335, "alpha_spy_m1d": 0.03853850726396768, "alpha_c_m1d": 0.03843347109667006, "bench_spy_m1d": 0.004800173329915669, "bench_c_m1d": 0.004905209497213292, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.05056180678267563, "ret_signed_p1d": 0.05056180678267563, "alpha_spy_p1d": 0.043861567184184214, "alpha_c_p1d": 0.0469649831037966, "bench_spy_p1d": 0.00670023959849142, "bench_c_p1d": 0.0035968236788790353, "ret_p1w": 0.034510457773620606, "ret_signed_p1w": 0.034510457773620606, "alpha_spy_p1w": 0.051710282870430335, "alpha_c_p1w": 0.03974269368834904, "bench_spy_p1w": -0.01719982509680973, "bench_c_p1w": -0.005232235914728434, "ret_p1m": -0.034510457773620495, "ret_signed_p1m": -0.034510457773620495, "alpha_spy_p1m": 0.015989523290895313, "alpha_c_p1m": -0.0020273588854823332, "bench_spy_p1m": -0.05049998106451581, "bench_c_p1m": -0.03248309888813816, "ret_p3m": -0.1853932915364772, "ret_signed_p3m": -0.1853932915364772, "alpha_spy_p3m": -0.1866963000758749, "alpha_c_p3m": -0.19086010493858374, "bench_spy_p3m": 0.0013030085393976876, "bench_c_p3m": 0.0054668134021065296, "ret_p6m": 0.2295344821766614, "ret_signed_p6m": 0.2295344821766614, "alpha_spy_p6m": 0.11245913681759134, "alpha_c_p6m": 0.0736127313246604, "bench_spy_p6m": 0.11707534535907005, "bench_c_p6m": 0.155921750852001, "price_path": [0.0542, -0.0068, -0.0682, -0.0369, 0.0064, 0.0377, -0.0096, 0.0084, -0.0144, -0.0189, -0.1063, -0.0975, -0.0915, -0.0694, -0.0971, -0.1392, -0.0774, -0.1172, -0.1501, -0.1284, -0.1284, -0.14, -0.1513, -0.1481, -0.1754, -0.1669, -0.1641, -0.1782, -0.1742, -0.1007, -0.1152, -0.1352, -0.1276, -0.0967, -0.128, -0.0927, -0.0774, -0.0891, -0.1007, -0.0839, -0.1256, -0.0839, -0.1047, -0.0606, -0.0072, -0.0273, -0.0397, -0.0136, -0.0136, -0.0345, -0.0381, -0.0177, 0.0008, -0.0056, -0.0028, 0.0152, -0.0237, -0.0345, -0.01, -0.0429, -0.0052, 0.0189, 0.0433, 0.0, 0.0506, 0.0542, 0.0758, 0.0132, 0.0345, 0.002, -0.0397, -0.0116, -0.0169, -0.0056, -0.0032, -0.0353, -0.0132, 0.0068, 0.0177, 0.0289, 0.0345, 0.0269, 0.0381, 0.0148, -0.0345, -0.0233, -0.0482, -0.0249, 0.0064, -0.0036, -0.0036, -0.0429, -0.0706, -0.0293, -0.0185, -0.0257, 0.0245, 0.0662, 0.047, 0.0233, 0.0333, 0.0337, 0.0148, 0.0104, 0.0028, -0.0229, -0.0381, -0.0476, -0.0887, -0.0977, -0.0875, -0.1156, -0.1268, -0.1316, -0.126, -0.1437, -0.1946, -0.2014, -0.2179, -0.1898, -0.2043, -0.1862, -0.1814, -0.1834, -0.2083, -0.179, -0.1854, -0.1639, -0.1701, -0.1589, -0.1328, -0.1356, -0.1413, -0.1637, -0.136, -0.1561, -0.1481, -0.1802, -0.1609, -0.1778, -0.1818, -0.1043, -0.0774, -0.0907, -0.0827, -0.071, 0.0016, -0.0293, -0.0205, -0.0225, 0.0907, 0.1388, 0.173, 0.173, 0.2151, 0.1998, 0.2155, 0.2348, 0.2195, 0.2408, 0.2167, 0.2315, 0.187, 0.2091, 0.1998, 0.2492, 0.2574, 0.2869, 0.2909, 0.2797, 0.2937, 0.3094, 0.3094, 0.2861, 0.2223, 0.1838, 0.1882, 0.1882, 0.1814, 0.1637, 0.193, 0.2022, 0.2436, 0.2299, 0.2311, 0.2504, 0.3046, 0.3154, 0.2849, 0.2295]}
{"unit_id": "quote:1140946061491675136", "ticker_idx": 0, "ts": "2019-06-18T11:35:13+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "If it follows the $AAPL model, as competition revs up $TSLA will lose share of units but will account for 80-90% of the profits in the #EV space. Sounds right to me.", "tweet_type": "prediction", "timeline": "years", "summary": "Bullish TSLA: expects it to mirror Apple's model—lose unit share but capture 80-90% of EV profits long-term.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "If it follows the $AAPL model, as competition revs up $TSLA will lose share of units but will account for 80-90% of the profits in the #EV space.  Sounds right to me.", "reply_text": null, "parent_text": null, "quoted_text": "People think Tesla is a zero because competition is coming. Competition *is* coming. We *expect* Tesla to lose 2/3rd of their current share. But the result is not a sales collapse. We expect Tesla to follow the footsteps of Apple—lose share and retain the top end of the market. https://t.co/Mv0KQsInoM", "parent_author": null, "ret_m1d": 0.0012903500946661595, "ret_signed_m1d": 0.0012903500946661595, "alpha_spy_m1d": 0.011652840892613092, "alpha_c_m1d": 0.008825405378917073, "bench_spy_m1d": -0.010362490797946933, "bench_c_m1d": -0.007535055284250913, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.007519764691878983, "ret_signed_p1d": 0.007519764691878983, "alpha_spy_p1d": 0.005262495562325498, "alpha_c_p1d": 0.005677636932907015, "bench_spy_p1d": 0.0022572691295534852, "bench_c_p1d": 0.0018421277589719676, "ret_p1w": -0.022158924003840785, "ret_signed_p1w": -0.022158924003840785, "alpha_spy_p1w": -0.021386727794403093, "alpha_c_p1w": -0.011324563863167714, "bench_spy_p1w": -0.0007721962094376922, "bench_c_p1w": -0.010834360140673072, "ret_p1m": 0.13402155824159245, "ret_signed_p1m": 0.13402155824159245, "alpha_spy_p1m": 0.11080643214015562, "alpha_c_p1m": 0.09957289797334656, "bench_spy_p1m": 0.023215126101436834, "bench_c_p1m": 0.03444866026824589, "ret_p3m": 0.09103848931269698, "ret_signed_p3m": 0.09103848931269698, "alpha_spy_p3m": 0.05631086197447188, "alpha_c_p3m": 0.054153600450185246, "bench_spy_p3m": 0.0347276273382251, "bench_c_p3m": 0.03688488886251173, "ret_p6m": 0.5693689524784913, "ret_signed_p6m": 0.5693689524784913, "alpha_spy_p6m": 0.48384101009811564, "alpha_c_p6m": 0.5410979472127802, "bench_spy_p6m": 0.08552794238037564, "bench_c_p6m": 0.028271005265711135, "price_path": [0.2193, 0.177, 0.1588, 0.1915, 0.2229, 0.2397, 0.2453, 0.2867, 0.272, 0.2984, 0.1915, 0.2235, 0.2156, 0.2117, 0.2284, 0.1944, 0.1912, 0.1853, 0.2163, 0.2069, 0.2159, 0.2159, 0.1691, 0.1742, 0.1509, 0.1019, 0.0463, 0.0744, 0.0621, 0.0412, 0.0861, 0.1348, 0.1362, 0.0993, 0.0894, 0.0767, 0.0658, 0.0101, 0.0337, 0.0321, 0.016, -0.061, -0.0862, -0.0875, -0.1424, -0.1302, -0.1518, -0.1518, -0.1604, -0.1552, -0.1625, -0.1761, -0.2037, -0.1386, -0.1253, -0.0836, -0.0901, -0.0528, -0.034, -0.0689, -0.0482, -0.0437, 0.0013, 0.0, 0.0075, -0.0228, -0.0128, -0.0049, -0.0222, -0.0243, -0.0085, -0.0057, 0.0108, -0.0008, 0.0452, 0.0452, 0.0372, 0.0249, 0.0237, 0.0631, 0.0617, 0.0905, 0.128, 0.123, 0.134, 0.1281, 0.1488, 0.1377, 0.1576, 0.1786, 0.0182, 0.0147, 0.0491, 0.078, 0.0751, 0.0405, 0.0427, 0.0159, 0.0267, 0.0386, 0.0603, 0.0457, 0.019, 0.0457, -0.0228, -0.0405, -0.0214, 0.0093, 0.005, -0.0174, -0.0115, -0.0594, -0.0433, -0.0474, -0.0407, -0.0135, 0.0039, 0.0039, 0.0012, -0.0181, 0.0215, 0.0121, 0.0314, 0.0481, 0.0995, 0.094, 0.091, 0.0804, 0.0892, 0.0834, 0.0973, 0.0707, 0.0734, -0.0068, 0.0176, 0.0793, 0.0774, 0.0718, 0.0888, 0.0818, 0.0369, 0.0298, 0.0578, 0.0681, 0.0881, 0.089, 0.103, 0.1434, 0.1475, 0.1558, 0.1657, 0.1433, 0.128, 0.1372, 0.1332, 0.3335, 0.46, 0.4582, 0.407, 0.4017, 0.4013, 0.3941, 0.4126, 0.4115, 0.4531, 0.493, 0.5001, 0.5355, 0.557, 0.54, 0.5545, 0.567, 0.5573, 0.5997, 0.5672, 0.5788, 0.4819, 0.4966, 0.4636, 0.4741, 0.4741, 0.4681, 0.49, 0.496, 0.4818, 0.47, 0.4946, 0.5108, 0.5522, 0.5694]}
{"unit_id": "quote:916318303685136386", "ticker_idx": 0, "ts": "2017-10-06T15:04:42+00:00", "symbol": "VIX", "kind": "index", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "the #VIX will go up in tandem with stock prices", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Expects VIX to rise alongside stock prices as investors deploy excess cash balances.", "resolved_tickers": ["VIXY"], "resolution_method": "etf", "resolution_reason": "VIX volatility index; VIXY is tradable ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "The risk that has not been eradicated could be in cash balances.  If they are too high and investors start capitulating, the #VIX will go up in tandem with stock prices.  Back to the ('90s) future.... https://t.co/X1RgySvFxG", "reply_text": null, "parent_text": null, "quoted_text": "Volatility Index ends the day at 9.19, its lowest close in history. Risk has been eradicated. $VIX https://t.co/cXY998oxFV", "parent_author": null, "ret_m1d": -0.002271291951023713, "ret_signed_m1d": -0.002271291951023713, "alpha_spy_m1d": -0.003411646535742996, "alpha_c_m1d": -0.003411646535742996, "bench_spy_m1d": 0.001140354584719283, "bench_c_m1d": 0.001140354584719283, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.018818908381718735, "ret_signed_p1d": 0.018818908381718735, "alpha_spy_p1d": 0.020470151684695792, "alpha_c_p1d": 0.020470151684695792, "bench_spy_p1d": -0.0016512433029770568, "bench_c_p1d": -0.0016512433029770568, "ret_p1w": -0.046722984567532655, "ret_signed_p1w": -0.046722984567532655, "alpha_spy_p1w": -0.04900321422221843, "alpha_c_p1w": -0.04900321422221843, "bench_spy_p1w": 0.0022802296546857725, "bench_c_p1w": 0.0022802296546857725, "ret_p1m": -0.10220635545867562, "ret_signed_p1m": -0.10220635545867562, "alpha_spy_p1m": -0.11981865832759175, "alpha_c_p1m": -0.11981865832759175, "bench_spy_p1m": 0.01761230286891613, "bench_c_p1m": 0.01761230286891613, "ret_p3m": -0.28974696552107926, "ret_signed_p3m": -0.28974696552107926, "alpha_spy_p3m": -0.3584756780630137, "alpha_c_p3m": -0.3584756780630137, "bench_spy_p3m": 0.06872871254193447, "bench_c_p3m": 0.06872871254193447, "ret_p6m": 0.3909798677069971, "ret_signed_p6m": 0.3909798677069971, "alpha_spy_p6m": 0.3695443937124865, "alpha_c_p6m": 0.3695443937124865, "bench_spy_p6m": 0.021435473994510623, "bench_c_p6m": 0.021435473994510623, "price_path": [0.3757, 0.3381, 0.3238, 0.2979, 0.2631, 0.2479, 0.2333, 0.2219, 0.2106, 0.1892, 0.194, 0.196, 0.2057, 0.218, 0.2096, 0.194, 0.2005, 0.2158, 0.2106, 0.1957, 0.2297, 0.2618, 0.4338, 0.4763, 0.2839, 0.2748, 0.2674, 0.4773, 0.4338, 0.377, 0.2758, 0.2868, 0.3225, 0.2859, 0.2745, 0.2897, 0.2829, 0.2479, 0.2443, 0.2443, 0.3121, 0.2816, 0.2751, 0.3063, 0.2336, 0.2005, 0.1587, 0.1742, 0.1541, 0.1032, 0.1032, 0.1042, 0.1042, 0.1103, 0.1126, 0.099, 0.0928, 0.0762, 0.0555, 0.0331, 0.0308, 0.0328, -0.0023, 0.0, 0.0188, -0.0029, -0.0237, -0.0295, -0.0467, -0.0639, -0.061, -0.0662, -0.0727, -0.0899, -0.0607, -0.0509, -0.0195, -0.024, -0.0775, -0.0694, -0.0863, -0.0814, -0.0915, -0.0934, -0.1022, -0.0967, -0.0964, -0.0827, -0.0623, -0.0594, -0.0519, -0.0172, -0.0571, -0.072, -0.1012, -0.1363, -0.1437, -0.1437, -0.1476, -0.1496, -0.1609, -0.1418, -0.1392, -0.1155, -0.1226, -0.1265, -0.1269, -0.1561, -0.1827, -0.2109, -0.209, -0.2119, -0.2154, -0.2421, -0.2524, -0.2492, -0.2515, -0.2573, -0.2528, -0.2528, -0.2528, -0.2485, -0.2609, -0.2489, -0.2489, -0.2755, -0.2897, -0.292, -0.2917, -0.3008, -0.2936, -0.3005, -0.3047, -0.3043, -0.3043, -0.2615, -0.2787, -0.2751, -0.2777, -0.293, -0.2816, -0.2628, -0.2505, -0.256, -0.2018, -0.1765, -0.1953, -0.22, -0.1139, 0.1895, 0.1509, 0.1963, 0.4851, 0.3436, 0.2875, 0.2888, 0.1382, 0.1162, 0.1317, 0.1317, 0.1807, 0.1963, 0.1759, 0.0866, 0.0415, 0.1395, 0.1905, 0.2713, 0.2206, 0.1639, 0.1726, 0.1593, 0.1162, 0.0276, 0.0704, 0.0934, 0.1152, 0.0808, 0.0633, 0.1622, 0.1379, 0.1249, 0.2716, 0.3433, 0.2391, 0.3384, 0.3676, 0.2703, 0.2703, 0.391]}
{"unit_id": "quote:916318303685136386", "ticker_idx": 1, "ts": "2017-10-06T15:04:42+00:00", "symbol": "S&P500", "kind": "index", "geography": "US", "sub_sector": null, "direction": "long", "conviction": "low", "explicit": false, "explicit_audit": "kept_implicit_alias_present", "polarity_reversed": false, "quote": "the #VIX will go up in tandem with stock prices", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Expects VIX to rise alongside stock prices as investors deploy excess cash balances.", "resolved_tickers": ["SPY"], "resolution_method": "etf", "resolution_reason": "S&P 500 index; SPY ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "The risk that has not been eradicated could be in cash balances.  If they are too high and investors start capitulating, the #VIX will go up in tandem with stock prices.  Back to the ('90s) future.... https://t.co/X1RgySvFxG", "reply_text": null, "parent_text": null, "quoted_text": "Volatility Index ends the day at 9.19, its lowest close in history. Risk has been eradicated. $VIX https://t.co/cXY998oxFV", "parent_author": null, "ret_m1d": 0.001140354584719283, "ret_signed_m1d": 0.001140354584719283, "alpha_spy_m1d": 0.0, "alpha_c_m1d": 0.0, "bench_spy_m1d": 0.001140354584719283, "bench_c_m1d": 0.001140354584719283, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.0016512433029770568, "ret_signed_p1d": -0.0016512433029770568, "alpha_spy_p1d": 0.0, "alpha_c_p1d": 0.0, "bench_spy_p1d": -0.0016512433029770568, "bench_c_p1d": -0.0016512433029770568, "ret_p1w": 0.0022802296546857725, "ret_signed_p1w": 0.0022802296546857725, "alpha_spy_p1w": 0.0, "alpha_c_p1w": 0.0, "bench_spy_p1w": 0.0022802296546857725, "bench_c_p1w": 0.0022802296546857725, "ret_p1m": 0.01761230286891613, "ret_signed_p1m": 0.01761230286891613, "alpha_spy_p1m": 0.0, "alpha_c_p1m": 0.0, "bench_spy_p1m": 0.01761230286891613, "bench_c_p1m": 0.01761230286891613, "ret_p3m": 0.06872871254193447, "ret_signed_p3m": 0.06872871254193447, "alpha_spy_p3m": 0.0, "alpha_c_p3m": 0.0, "bench_spy_p3m": 0.06872871254193447, "bench_c_p3m": 0.06872871254193447, "ret_p6m": 0.021435473994510623, "ret_signed_p6m": 0.021435473994510623, "alpha_spy_p6m": 0.0, "alpha_c_p6m": 0.0, "bench_spy_p6m": 0.021435473994510623, "bench_c_p6m": 0.021435473994510623, "price_path": [-0.0526, -0.0455, -0.0439, -0.0394, -0.0395, -0.039, -0.0338, -0.0334, -0.0342, -0.0345, -0.0321, -0.0321, -0.033, -0.0341, -0.0347, -0.0325, -0.032, -0.0339, -0.0322, -0.0304, -0.0328, -0.0328, -0.0464, -0.045, -0.0356, -0.0357, -0.034, -0.0491, -0.0506, -0.0498, -0.0399, -0.0433, -0.0455, -0.0433, -0.0433, -0.0422, -0.0376, -0.0319, -0.0305, -0.0305, -0.0374, -0.0342, -0.0343, -0.0354, -0.0251, -0.0218, -0.0214, -0.0217, -0.0204, -0.0183, -0.0173, -0.0169, -0.0196, -0.0194, -0.0214, -0.0208, -0.017, -0.0158, -0.0123, -0.0081, -0.0059, -0.0048, 0.0011, 0.0, -0.0017, 0.001, 0.0026, 0.0011, 0.0023, 0.0036, 0.0043, 0.0053, 0.0056, 0.0108, 0.0068, 0.0086, 0.0036, 0.0049, 0.0131, 0.0094, 0.0109, 0.0123, 0.0127, 0.016, 0.0176, 0.0169, 0.0186, 0.0149, 0.0146, 0.0156, 0.0132, 0.0081, 0.0167, 0.0137, 0.0155, 0.0221, 0.0212, 0.0212, 0.0235, 0.023, 0.0334, 0.0328, 0.0418, 0.0397, 0.0384, 0.0347, 0.0349, 0.0381, 0.0438, 0.0469, 0.0488, 0.0487, 0.0444, 0.0531, 0.0598, 0.0557, 0.0551, 0.0573, 0.057, 0.057, 0.0558, 0.0563, 0.0585, 0.0545, 0.0545, 0.062, 0.0687, 0.0732, 0.0804, 0.0824, 0.0848, 0.0832, 0.0911, 0.0982, 0.0982, 0.0944, 0.1048, 0.103, 0.108, 0.117, 0.1194, 0.119, 0.1194, 0.1324, 0.1249, 0.1133, 0.1139, 0.1126, 0.0884, 0.0429, 0.0634, 0.0577, 0.018, 0.0333, 0.0485, 0.0511, 0.0653, 0.0788, 0.0792, 0.0792, 0.0724, 0.0671, 0.0685, 0.0855, 0.0981, 0.0844, 0.0734, 0.0578, 0.0632, 0.0755, 0.0783, 0.0779, 0.0831, 0.1019, 0.1005, 0.0934, 0.0878, 0.0866, 0.0878, 0.0731, 0.0749, 0.0729, 0.046, 0.0237, 0.0517, 0.0339, 0.0308, 0.044, 0.044, 0.0214]}
{"unit_id": "quote:971756692634398720", "ticker_idx": 0, "ts": "2018-03-08T14:37:04+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Is #BTC becoming the reserve currency of #crypto? If so, powerful network effects!", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish BTC: implies it is becoming crypto's reserve currency with powerful network effects.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Is #BTC becoming the reserve currency of #crypto?  If so, powerful network effects! https://t.co/QjR4OwnzDC", "reply_text": null, "parent_text": null, "quoted_text": "We're just one step away from @CashApp enabling users to easily get paid in BTC by non-Bitcoiners. All they need to do is add an \"auto-convert received USD to BTC\" option. https://t.co/6D3K7SVjQx", "parent_author": null, "ret_m1d": 0.06073017070856057, "ret_signed_m1d": 0.06073017070856057, "alpha_spy_m1d": 0.06554574438184746, "alpha_c_m1d": null, "bench_spy_m1d": -0.004815573673286888, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.006116008644050375, "ret_signed_p1d": -0.006116008644050375, "alpha_spy_p1d": -0.023518686626199825, "alpha_c_p1d": null, "bench_spy_p1d": 0.01740267798214945, "bench_c_p1d": null, "ret_p1w": -0.11646070002671383, "ret_signed_p1w": -0.11646070002671383, "alpha_spy_p1w": -0.11974434470343287, "alpha_c_p1w": null, "bench_spy_p1w": 0.003283644676719044, "bench_c_p1w": null, "ret_p1m": -0.2936335363375462, "ret_signed_p1m": -0.2936335363375462, "alpha_spy_p1m": -0.2449659970597684, "alpha_c_p1m": null, "bench_spy_p1m": -0.04866753927777778, "bench_c_p1m": null, "ret_p3m": -0.18746654276445374, "ret_signed_p3m": -0.18746654276445374, "alpha_spy_p3m": -0.19513447323090438, "alpha_c_p3m": null, "bench_spy_p3m": 0.007667930466450645, "bench_c_p3m": null, "ret_p6m": -0.2509236016044921, "ret_signed_p6m": -0.2509236016044921, "alpha_spy_p6m": -0.3190798000475169, "alpha_c_p6m": null, "bench_spy_p6m": 0.06815619844302478, "bench_c_p6m": null, "price_path": [0.8027, 0.8537, 0.7465, 0.7631, 0.8847, 1.0345, 0.8921, 0.7695, 0.6821, 0.4722, 0.493, 0.7137, 0.6858, 0.5547, 0.56, 0.4537, 0.5947, 0.618, 0.6604, 0.8552, 0.6147, 0.5535, 0.5938, 0.4269, 0.4881, 0.471, 0.223, 0.1909, 0.2214, 0.2355, 0.1635, 0.1568, 0.2091, 0.1984, 0.1891, 0.2024, 0.0757, 0.0879, -0.0239, -0.0601, -0.2597, -0.1747, -0.1888, -0.1202, -0.07, -0.0499, -0.0848, 0.0106, 0.0821, 0.0893, 0.1948, 0.2138, 0.1379, 0.0649, 0.0964, 0.1034, 0.1416, 0.1067, 0.1656, 0.18, 0.2319, 0.1474, 0.0607, 0.0, -0.0061, -0.0202, -0.0213, -0.1198, -0.1165, -0.1125, -0.0814, -0.0513, -0.0496, -0.0709, -0.0549, -0.1262, -0.1663, -0.1533, -0.2373, -0.2666, -0.246, -0.2064, -0.2705, -0.275, -0.2936, -0.2793, -0.2725, -0.2583, -0.1603, -0.1596, -0.1422, -0.1589, -0.1311, -0.1172, -0.0585, -0.0494, 0.0322, -0.0585, -0.0121, -0.0434, -0.0164, -0.0294, -0.0169, 0.0371, 0.0325, -0.0023, -0.0171, -0.0074, -0.0374, -0.1015, -0.0722, -0.0942, -0.1092, -0.1384, -0.1218, -0.1039, -0.144, -0.1955, -0.1924, -0.2038, -0.2404, -0.2046, -0.2117, -0.2023, -0.1973, -0.2002, -0.1875, -0.1853, -0.1827, -0.1884, -0.2648, -0.2994, -0.3241, -0.2895, -0.3128, -0.2831, -0.2794, -0.2787, -0.2837, -0.3525, -0.3348, -0.3514, -0.3446, -0.3716, -0.3381, -0.296, -0.305, -0.2978, -0.2933, -0.2897, -0.2824, -0.3262, -0.3194, -0.337, -0.336, -0.2824, -0.2208, -0.2155, -0.2052, -0.2172, -0.1792, -0.1033, -0.1292, -0.1536, -0.1309, -0.1293, -0.1719, -0.1884, -0.1946, -0.2087, -0.2601, -0.2812, -0.3288, -0.3009, -0.3417, -0.3297, -0.3401, -0.3285, -0.3257, -0.2996, -0.3285, -0.3093, -0.3213, -0.3044, -0.2847, -0.2672, -0.2447, -0.2499, -0.2572, -0.2509]}
{"unit_id": "quote:921537647125958656", "ticker_idx": 0, "ts": "2017-10-21T00:44:31+00:00", "symbol": "GOOG", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Autonomous taxi networks will gravitate towards $GOOG and #Waymo if #INTC and $MBLY try to force this issue", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Autonomous taxi networks will favor Waymo/GOOG; INTC and MBLY risk losing out on the $2T AV opportunity by pushing liability formulas.", "resolved_tickers": ["GOOG"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLC", "bench_c_reason": "industry='Internet Content & Information'", "bench_c_industry": "Internet Content & Information", "unit_kind": "quote", "lang": "en", "tweet_text": "#Autonomous taxi networks will gravitate towards $GOOG and #Waymo if #INTC and $MBLY try to force this issue.  In other words they will lose out on what #ARKInvest believes is a $2 trillion revenue opportunity. https://t.co/c3QJpl8BHP", "reply_text": null, "parent_text": null, "quoted_text": "$MBLY takes opposite approach of $GOOG and gives formula for determining when its not liable for autonomous crashes. https://t.co/uNIQmWpcAR", "parent_author": null, "ret_m1d": 0.020393555324848878, "ret_signed_m1d": 0.020393555324848878, "alpha_spy_m1d": 0.01648899667489312, "alpha_c_m1d": null, "bench_spy_m1d": 0.0039045586499557583, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": 0.002158089786733486, "ret_signed_p1d": 0.002158089786733486, "alpha_spy_p1d": 0.00040083768596410607, "alpha_c_p1d": null, "bench_spy_p1d": 0.0017572521007693798, "bench_c_p1d": null, "ret_p1w": 0.05024526419185693, "ret_signed_p1w": 0.05024526419185693, "alpha_spy_p1w": 0.047746275897708745, "alpha_c_p1w": null, "bench_spy_p1w": 0.0024989882941481856, "bench_c_p1w": null, "ret_p1m": 0.06819138001545788, "ret_signed_p1m": 0.06819138001545788, "alpha_spy_p1m": 0.053041578151959756, "alpha_c_p1m": null, "bench_spy_p1m": 0.015149801863498125, "bench_c_p1m": null, "ret_p3m": 0.16659617589762155, "ret_signed_p3m": 0.16659617589762155, "alpha_spy_p3m": 0.07110270973486199, "alpha_c_p3m": null, "bench_spy_p3m": 0.09549346616275955, "bench_c_p3m": null, "ret_p6m": 0.10915394318213689, "ret_signed_p6m": 0.10915394318213689, "alpha_spy_p6m": 0.04453818865640313, "alpha_c_p6m": null, "bench_spy_p6m": 0.06461575452573376, "bench_c_p6m": null, "price_path": [-0.0213, -0.0355, -0.0278, -0.0392, -0.0388, -0.0393, -0.0463, -0.0418, -0.0404, -0.043, -0.047, -0.0632, -0.0558, -0.0473, -0.0477, -0.0428, -0.0593, -0.0597, -0.0638, -0.0452, -0.0428, -0.0487, -0.0543, -0.0564, -0.0487, -0.0401, -0.0301, -0.0321, -0.0321, -0.0413, -0.042, -0.0336, -0.0433, -0.0407, -0.0376, -0.0344, -0.0448, -0.0497, -0.0552, -0.0482, -0.0381, -0.0372, -0.0412, -0.049, -0.045, -0.0247, -0.0196, -0.0096, -0.0157, -0.011, -0.0173, 0.0016, 0.0108, 0.0088, 0.0043, 0.0215, 0.02, 0.0219, 0.0243, 0.0245, 0.0252, 0.0165, 0.0204, 0.0, 0.0022, 0.005, 0.0042, 0.0525, 0.0502, 0.0498, 0.0589, 0.059, 0.0661, 0.0593, 0.067, 0.0737, 0.0649, 0.0616, 0.0592, 0.0594, 0.0542, 0.0661, 0.0523, 0.0516, 0.0682, 0.0697, 0.0697, 0.0745, 0.0886, 0.0815, 0.0549, 0.0547, 0.0431, 0.0312, 0.0379, 0.0516, 0.0645, 0.0708, 0.075, 0.0744, 0.0745, 0.0833, 0.0989, 0.1122, 0.1056, 0.0996, 0.0983, 0.0947, 0.0947, 0.0912, 0.0836, 0.0823, 0.0805, 0.0805, 0.0997, 0.1177, 0.1218, 0.1381, 0.143, 0.1423, 0.1385, 0.1415, 0.1588, 0.1588, 0.1583, 0.1689, 0.1666, 0.1746, 0.1935, 0.2081, 0.2022, 0.2085, 0.2141, 0.2139, 0.2016, 0.2081, 0.2057, 0.1481, 0.0902, 0.1158, 0.0827, 0.0341, 0.0716, 0.0862, 0.0864, 0.1045, 0.125, 0.1305, 0.1305, 0.1384, 0.1475, 0.1427, 0.1635, 0.181, 0.1547, 0.1407, 0.1044, 0.1141, 0.1265, 0.1307, 0.1458, 0.1627, 0.1978, 0.2024, 0.1752, 0.1869, 0.187, 0.1727, 0.1356, 0.1335, 0.1264, 0.0833, 0.0549, 0.0875, 0.0378, 0.0373, 0.0654, 0.0654, 0.0393, 0.0464, 0.0585, 0.0613, 0.0398, 0.0485, 0.0652, 0.0532, 0.0661, 0.0628, 0.0718, 0.1092]}
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{"unit_id": "quote:962148522731737088", "ticker_idx": 0, "ts": "2018-02-10T02:17:38+00:00", "symbol": "S&P500", "kind": "index", "geography": "US", "sub_sector": null, "direction": "long", "conviction": "low", "explicit": false, "explicit_audit": "flipped_to_implicit", "polarity_reversed": false, "quote": "The return of fear is battle testing the bull market in equities, a healthy development which will extend its life!", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Views current S&P selloff as healthy bull-market consolidation that extends the uptrend.", "resolved_tickers": ["SPY"], "resolution_method": "etf", "resolution_reason": "S&P 500 index; SPY ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "The return of fear is battle testing the bull market in equities, a healthy development which will extend its life! https://t.co/WrQJ1G6mkp", "reply_text": null, "parent_text": null, "quoted_text": "DB says three consecutive weeks of S&amp;P down, bond yields up hasn't happened since 2004... and has only happened three times in the last 20 years.", "parent_author": null, "ret_m1d": -0.014471870705175305, "ret_signed_m1d": -0.014471870705175305, "alpha_spy_m1d": 0.0, "alpha_c_m1d": 0.0, "bench_spy_m1d": -0.014471870705175305, "bench_c_m1d": -0.014471870705175305, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0024876049337867467, "ret_signed_p1d": 0.0024876049337867467, "alpha_spy_p1d": 0.0, "alpha_c_p1d": 0.0, "bench_spy_p1d": 0.0024876049337867467, "bench_c_p1d": 0.0024876049337867467, "ret_p1w": 0.029283227548816626, "ret_signed_p1w": 0.029283227548816626, "alpha_spy_p1w": 0.0, "alpha_c_p1w": 0.0, "bench_spy_p1w": 0.029283227548816626, "bench_c_p1w": 0.029283227548816626, "ret_p1m": 0.042888611501040286, "ret_signed_p1m": 0.042888611501040286, "alpha_spy_p1m": 0.0, "alpha_c_p1m": 0.0, "bench_spy_p1m": 0.042888611501040286, "bench_c_p1m": 0.042888611501040286, "ret_p3m": 0.029281006122968245, "ret_signed_p3m": 0.029281006122968245, "alpha_spy_p3m": 0.0, "alpha_c_p3m": 0.0, "bench_spy_p3m": 0.029281006122968245, "bench_c_p3m": 0.029281006122968245, "ret_p6m": 0.08544283307585476, "ret_signed_p6m": 0.08544283307585476, "alpha_spy_p6m": 0.0, "alpha_c_p6m": 0.0, "bench_spy_p6m": 0.08544283307585476, "bench_c_p6m": 0.08544283307585476, "price_path": [-0.0385, -0.0303, -0.0331, -0.0315, -0.0251, -0.026, -0.026, -0.0238, -0.0242, -0.0143, -0.0149, -0.0063, -0.0084, -0.0096, -0.0131, -0.013, -0.0098, -0.0044, -0.0014, 0.0003, 0.0002, -0.0039, 0.0044, 0.0108, 0.0069, 0.0064, 0.0084, 0.0082, 0.0082, 0.007, 0.0075, 0.0095, 0.0057, 0.0057, 0.0129, 0.0193, 0.0236, 0.0305, 0.0323, 0.0347, 0.0331, 0.0406, 0.0474, 0.0474, 0.0438, 0.0538, 0.052, 0.0568, 0.0654, 0.0676, 0.0672, 0.0677, 0.08, 0.0729, 0.0619, 0.0624, 0.0612, 0.0381, -0.0053, 0.0143, 0.0088, -0.0291, -0.0145, 0.0, 0.0025, 0.016, 0.029, 0.0293, 0.0293, 0.0228, 0.0178, 0.0191, 0.0353, 0.0473, 0.0343, 0.0238, 0.0089, 0.0141, 0.0258, 0.0284, 0.028, 0.033, 0.051, 0.0497, 0.0429, 0.0375, 0.0364, 0.0375, 0.0235, 0.0252, 0.0233, -0.0023, -0.0236, 0.0031, -0.0139, -0.0168, -0.0043, -0.0043, -0.0258, -0.0133, -0.0027, 0.0051, -0.0173, -0.0124, 0.0033, -0.002, 0.0062, 0.0033, 0.0115, 0.0224, 0.0231, 0.0174, 0.0088, 0.0087, -0.0049, -0.0025, 0.0077, 0.0086, 0.0009, 0.0026, -0.0041, -0.0063, 0.0066, 0.01, 0.01, 0.0197, 0.0293, 0.0324, 0.0329, 0.0258, 0.0301, 0.0292, 0.0267, 0.0344, 0.0315, 0.0344, 0.0322, 0.0298, 0.0298, 0.0179, 0.0315, 0.0252, 0.0353, 0.0402, 0.0409, 0.0496, 0.0495, 0.0526, 0.054, 0.0554, 0.052, 0.0547, 0.0533, 0.0512, 0.0471, 0.0489, 0.0423, 0.0442, 0.03, 0.0323, 0.0238, 0.0296, 0.0311, 0.0333, 0.0296, 0.0296, 0.038, 0.0468, 0.0563, 0.0601, 0.0523, 0.0618, 0.0627, 0.0617, 0.066, 0.0683, 0.0642, 0.063, 0.065, 0.0704, 0.0795, 0.0769, 0.0696, 0.064, 0.0693, 0.0675, 0.0733, 0.0779, 0.0819, 0.0854]}
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{"unit_id": "quote:858082759906144256", "ticker_idx": 0, "ts": "2017-04-28T22:17:27+00:00", "symbol": "oil", "kind": "commodity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "peak #oil demand will occur befor the turn of this decade", "tweet_type": "prediction", "timeline": "years", "summary": "Peak oil demand arrives before 2030 driven by EVs + autonomous electric taxi networks; bearish long-term oil demand.", "resolved_tickers": ["USO"], "resolution_method": "etf", "resolution_reason": "Oil commodity; USO is standard ETF proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "Add in #autonomous electric taxi networks, and peak #oil demand will occur befor the turn of this decade! https://t.co/bEGBPBs3pj", "reply_text": null, "parent_text": null, "quoted_text": "Our research suggests the uptake in #EVs alone is likely to lead to peak oil demand by 2025. https://t.co/iJiQbPtbty https://t.co/wHT81hbUP5", "parent_author": null, "ret_m1d": 0.0, "ret_signed_m1d": -0.0, "alpha_spy_m1d": 0.0021843684101332528, "alpha_c_m1d": 0.0021843684101332528, "bench_spy_m1d": 0.0021843684101332528, "bench_c_m1d": 0.0021843684101332528, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.008789077597612382, "ret_signed_p1d": 0.008789077597612382, "alpha_spy_p1d": 0.011309445831541587, "alpha_c_p1d": 0.011309445831541587, "bench_spy_p1d": 0.0025203682339292044, "bench_c_p1d": 0.0025203682339292044, "ret_p1w": -0.05664061881543592, "ret_signed_p1w": 0.05664061881543592, "alpha_spy_p1w": 0.0634452434915852, "alpha_c_p1w": 0.0634452434915852, "bench_spy_p1w": 0.006804624676149285, "bench_c_p1w": 0.006804624676149285, "ret_p1m": 0.003906246362021193, "ret_signed_p1m": -0.003906246362021193, "alpha_spy_p1m": 0.011340872786871792, "alpha_c_p1m": 0.011340872786871792, "bench_spy_p1m": 0.015247119148892985, "bench_c_p1m": 0.015247119148892985, "ret_p3m": -0.027343724534147795, "ret_signed_p3m": 0.027343724534147795, "alpha_spy_p3m": 0.07168446678924478, "alpha_c_p3m": 0.07168446678924478, "bench_spy_p3m": 0.04434074225509699, "bench_c_p3m": 0.04434074225509699, "ret_p6m": 0.017578155195224765, "ret_signed_p6m": -0.017578155195224765, "alpha_spy_p6m": 0.06876323023419384, "alpha_c_p6m": 0.06876323023419384, "bench_spy_p6m": 0.0863413854294186, "bench_c_p6m": 0.0863413854294186, "price_path": [0.1055, 0.1211, 0.124, 0.127, 0.1113, 0.0928, 0.0967, 0.1084, 0.123, 0.1055, 0.1113, 0.1094, 0.1143, 0.1123, 0.1123, 0.127, 0.1094, 0.126, 0.1191, 0.1201, 0.1182, 0.1133, 0.0908, 0.1025, 0.1016, 0.1006, 0.042, 0.0283, 0.0049, 0.0039, -0.0049, 0.0137, 0.0117, 0.0088, 0.0029, -0.0127, -0.0117, -0.0225, -0.0146, -0.0195, -0.0088, 0.0127, 0.0322, 0.0391, 0.0303, 0.0459, 0.043, 0.0605, 0.0703, 0.0879, 0.0908, 0.085, 0.0869, 0.0869, 0.0801, 0.0781, 0.0371, 0.0293, 0.0078, 0.001, 0.0117, 0.002, 0.0, 0.0, -0.0088, -0.0312, -0.0303, -0.0762, -0.0566, -0.0557, -0.0654, -0.0371, -0.0293, -0.0283, -0.0068, -0.0127, -0.0049, 0.002, 0.0234, 0.0293, 0.0391, 0.0352, -0.0195, 0.0039, 0.0039, 0.0, -0.0273, -0.0322, -0.0371, -0.043, -0.0264, -0.0762, -0.0791, -0.0732, -0.0703, -0.0625, -0.0986, -0.1035, -0.0977, -0.1094, -0.126, -0.1494, -0.1426, -0.1348, -0.1279, -0.1113, -0.1016, -0.1006, -0.0723, -0.0605, -0.0605, -0.0967, -0.0908, -0.1113, -0.1084, -0.0947, -0.0889, -0.0752, -0.0635, -0.0771, -0.0684, -0.0537, -0.0615, -0.0879, -0.0723, -0.042, -0.0273, -0.0176, -0.0068, 0.0039, -0.0146, -0.0098, -0.0215, -0.0107, -0.0137, -0.0176, -0.0088, -0.0322, -0.0244, -0.0508, -0.0479, -0.0654, -0.0605, -0.0264, -0.0518, -0.0459, -0.0352, -0.0518, -0.0479, -0.0693, -0.0762, -0.084, -0.0596, -0.0557, -0.0557, -0.0312, -0.0195, -0.0205, -0.0498, -0.041, -0.0361, -0.0166, -0.0107, -0.0039, -0.0068, -0.0127, 0.0, 0.001, 0.0, 0.0303, 0.0244, 0.0273, 0.0186, 0.0186, -0.0029, -0.0059, -0.0156, 0.001, -0.0264, -0.0234, 0.0039, 0.0117, -0.001, 0.0127, 0.0215, 0.0244, 0.0234, 0.0107, 0.0186, 0.0176]}
{"unit_id": "thread:1128255845492559872", "ticker_idx": 0, "ts": "2019-05-14T11:08:50+00:00", "symbol": "UBER", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "autonomy will destroy their business models", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bearish UBER and LYFT: autonomy will destroy their business models and both are seriously overvalued; many IPOs will fail on private-to-public valuation gap.", "resolved_tickers": ["UBER"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": "Software - Application", "unit_kind": "self_thread", "lang": "en", "tweet_text": "$Uber’s and $LYFT’s disappointing debut seems to be impacting “innovation” stocks more broadly.  Two problems nullify that relationship:\n\n---\n\nFirst, $UBER and $LYFT no longer are innovators, as #autonomy will destroy their business models.\n\n---\n\nSecond, given the serious overvaluation in private relative to public equities, many more $IPOs will fail. We see many like for like companies valued in the private markets at 2-15 times those in the public markets as measured on price-to-sales.\n\n---\n\nMoreover, the games played with valuation in the later rounds of financing understate the true valuations being paid in the venture world.\n\n---\n\nI have been as surprised to learn about these games in the private equity world as I was to learn about CDOs squared in mortgage bonds circa 2006-07.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.07157158848541811, "ret_signed_m1d": 0.07157158848541811, "alpha_spy_m1d": 0.06260906780763198, "alpha_c_m1d": 0.06260906780763198, "bench_spy_m1d": -0.008962520677786134, "bench_c_m1d": -0.008962520677786134, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.033283329868030176, "ret_signed_p1d": -0.033283329868030176, "alpha_spy_p1d": -0.027425921287050015, "alpha_c_p1d": -0.027425921287050015, "bench_spy_p1d": 0.005857408580980161, "bench_c_p1d": 0.005857408580980161, "ret_p1w": 0.038538562332593784, "ret_signed_p1w": -0.038538562332593784, "alpha_spy_p1w": -0.027564819333096846, "alpha_c_p1w": -0.027564819333096846, "bench_spy_p1w": 0.010973742999496938, "bench_c_p1w": 0.010973742999496938, "ret_p1m": 0.05530528366131526, "ret_signed_p1m": -0.05530528366131526, "alpha_spy_p1m": -0.03769743567457873, "alpha_c_p1m": -0.03769743567457873, "bench_spy_p1m": 0.017607847986736536, "bench_c_p1m": 0.017607847986736536, "ret_p3m": 0.002252256122369678, "ret_signed_p3m": -0.002252256122369678, "alpha_spy_p3m": 0.03175748345332763, "alpha_c_p3m": 0.03175748345332763, "bench_spy_p3m": 0.034009739575697306, "bench_c_p3m": 0.034009739575697306, "ret_p6m": -0.3258257970149516, "ret_signed_p6m": 0.3258257970149516, "alpha_spy_p6m": 0.4197525092689258, "alpha_c_p6m": 0.4197525092689258, "bench_spy_p6m": 0.0939267122539742, "bench_c_p6m": 0.0939267122539742, "price_path": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 0.0403, -0.0716, 0.0, 0.0333, 0.0761, 0.0488, 0.0408, 0.0385, 0.0323, 0.0128, 0.0388, 0.0388, 0.0248, -0.0005, -0.004, 0.0113, 0.0323, 0.0698, 0.1261, 0.1241, 0.1051, 0.0663, 0.0623, 0.0553, 0.1089, 0.0818, 0.0956, 0.0976, 0.1226, 0.0976, 0.1011, 0.0783, 0.0783, 0.0636, 0.1294, 0.1607, 0.1079, 0.1011, 0.1069, 0.1069, 0.0893, 0.0748, 0.1061, 0.0936, 0.1009, 0.1009, 0.1144, 0.1044, 0.0916, 0.0938, 0.0806, 0.0933, 0.0851, 0.0951, 0.0861, 0.1141, 0.0981, 0.0658, 0.0546, 0.0338, 0.011, -0.0228, -0.0203, -0.0065, 0.0753, 0.0023, -0.0741, -0.0878, -0.1502, -0.1687, -0.1184, -0.1339, -0.1169, -0.1264, -0.1491, -0.1634, -0.1664, -0.1714, -0.1844, -0.1802, -0.1849, -0.1849, -0.2317, -0.1994, -0.1864, -0.2027, -0.1932, -0.1614, -0.1491, -0.1474, -0.1679, -0.1384, -0.1419, -0.1426, -0.1537, -0.1842, -0.1742, -0.2167, -0.2072, -0.21, -0.242, -0.2375, -0.2705, -0.2743, -0.2563, -0.2575, -0.24, -0.2673, -0.2725, -0.2775, -0.246, -0.2212, -0.1992, -0.2025, -0.1837, -0.1977, -0.214, -0.1859, -0.1729, -0.1672, -0.1814, -0.1687, -0.1887, -0.1554, -0.2117, -0.215, -0.2222, -0.2988, -0.3258]}
{"unit_id": "thread:1128255845492559872", "ticker_idx": 1, "ts": "2019-05-14T11:08:50+00:00", "symbol": "LYFT", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "autonomy will destroy their business models", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bearish UBER and LYFT: autonomy will destroy their business models and both are seriously overvalued; many IPOs will fail on private-to-public valuation gap.", "resolved_tickers": ["LYFT"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": "Software - Application", "unit_kind": "self_thread", "lang": "en", "tweet_text": "$Uber’s and $LYFT’s disappointing debut seems to be impacting “innovation” stocks more broadly.  Two problems nullify that relationship:\n\n---\n\nFirst, $UBER and $LYFT no longer are innovators, as #autonomy will destroy their business models.\n\n---\n\nSecond, given the serious overvaluation in private relative to public equities, many more $IPOs will fail. We see many like for like companies valued in the private markets at 2-15 times those in the public markets as measured on price-to-sales.\n\n---\n\nMoreover, the games played with valuation in the later rounds of financing understate the true valuations being paid in the venture world.\n\n---\n\nI have been as surprised to learn about these games in the private equity world as I was to learn about CDOs squared in mortgage bonds circa 2006-07.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.04691209244675598, "ret_signed_m1d": 0.04691209244675598, "alpha_spy_m1d": 0.03794957176896985, "alpha_c_m1d": 0.03794957176896985, "bench_spy_m1d": -0.008962520677786134, "bench_c_m1d": -0.008962520677786134, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.06967538451838506, "ret_signed_p1d": -0.06967538451838506, "alpha_spy_p1d": -0.0638179759374049, "alpha_c_p1d": -0.0638179759374049, "bench_spy_p1d": 0.005857408580980161, "bench_c_p1d": 0.005857408580980161, "ret_p1w": 0.09877272008224414, "ret_signed_p1w": -0.09877272008224414, "alpha_spy_p1w": -0.0877989770827472, "alpha_c_p1w": -0.0877989770827472, "bench_spy_p1w": 0.010973742999496938, "bench_c_p1w": 0.010973742999496938, "ret_p1m": 0.15617575847499698, "ret_signed_p1m": -0.15617575847499698, "alpha_spy_p1m": -0.13856791048826045, "alpha_c_p1m": -0.13856791048826045, "bench_spy_p1m": 0.017607847986736536, "bench_c_p1m": 0.017607847986736536, "ret_p3m": 0.17022958028891866, "ret_signed_p3m": -0.17022958028891866, "alpha_spy_p3m": -0.13621984071322135, "alpha_c_p3m": -0.13621984071322135, "bench_spy_p3m": 0.034009739575697306, "bench_c_p3m": 0.034009739575697306, "ret_p6m": -0.1504355150426454, "ret_signed_p6m": 0.1504355150426454, "alpha_spy_p6m": 0.2443622272966196, "alpha_c_p6m": 0.2443622272966196, "bench_spy_p6m": 0.0939267122539742, "bench_c_p6m": 0.0939267122539742, "price_path": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 0.5497, 0.366, 0.3652, 0.3856, 0.4252, 0.4737, 0.3901, 0.3349, 0.19, 0.2076, 0.1856, 0.1106, 0.1134, 0.1779, 0.1552, 0.1552, 0.2063, 0.1926, 0.1445, 0.1152, 0.133, 0.1993, 0.1837, 0.1629, 0.2173, 0.2373, 0.1989, 0.1746, 0.0473, 0.0922, 0.0113, -0.0469, 0.0, 0.0697, 0.1006, 0.0647, 0.0814, 0.0988, 0.1457, 0.1502, 0.1302, 0.1302, 0.1261, 0.1136, 0.0853, 0.1405, 0.1785, 0.1712, 0.2472, 0.2199, 0.173, 0.1235, 0.1494, 0.1562, 0.2116, 0.2067, 0.2589, 0.2747, 0.2579, 0.2439, 0.272, 0.2621, 0.2676, 0.2464, 0.292, 0.3007, 0.2272, 0.1946, 0.1995, 0.1995, 0.1756, 0.1835, 0.2239, 0.2332, 0.2243, 0.2718, 0.2825, 0.2827, 0.29, 0.3064, 0.3351, 0.3064, 0.2852, 0.2912, 0.2868, 0.2969, 0.2674, 0.2363, 0.2049, 0.1831, 0.1601, 0.1779, 0.1619, 0.1934, 0.2292, 0.1702, 0.112, 0.1496, 0.0786, 0.0451, 0.0386, 0.023, 0.062, 0.0719, 0.0166, -0.0279, 0.0137, -0.018, -0.0333, -0.0156, -0.0307, -0.0307, -0.101, -0.0825, -0.0816, -0.1192, -0.1215, -0.1004, -0.079, -0.0699, -0.0875, -0.054, -0.0487, -0.0772, -0.0641, -0.081, -0.1031, -0.171, -0.173, -0.1706, -0.1815, -0.1916, -0.2167, -0.2401, -0.2177, -0.2249, -0.2233, -0.2348, -0.2439, -0.2538, -0.2184, -0.2122, -0.1869, -0.1981, -0.1752, -0.1926, -0.1908, -0.1378, -0.1473, -0.1346, -0.1184, -0.1207, -0.1354, -0.1269, -0.1797, -0.1492, -0.1522, -0.1811, -0.1504]}
{"unit_id": "quote:1048215182978293760", "ticker_idx": 0, "ts": "2018-10-05T14:15:49+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "If our research is correct, $TSLA could be a moonshot", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish TSLA; if research is correct, stock could be a moonshot.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "quote", "lang": "en", "tweet_text": "Hey @elonmusk - You know that I agree with you on many topics, but not this one: shorts and longs make the market for stocks. If our research is correct, $TSLA could be a moonshot. Truth will win out.", "reply_text": null, "parent_text": null, "quoted_text": "@FCalciu @derekGUMB @Scobleizer @Tesla @SEC_Enforcement Exactly. Short-sellers are value destroyers. Should definitely be illegal.", "parent_author": null, "ret_m1d": 0.0758924163613599, "ret_signed_m1d": 0.0758924163613599, "alpha_spy_m1d": 0.07026389318338833, "alpha_c_m1d": 0.06831910234355343, "bench_spy_m1d": 0.005628523177971578, "bench_c_m1d": 0.007573314017806476, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.043481542224090175, "ret_signed_p1d": -0.043481542224090175, "alpha_spy_p1d": -0.043481542224090175, "alpha_c_p1d": -0.04606536847131437, "bench_spy_p1d": 0.0, "bench_c_p1d": 0.002583826247224197, "ret_p1w": -0.012101488278051908, "ret_signed_p1w": -0.012101488278051908, "alpha_spy_p1w": 0.029139804776868505, "alpha_c_p1w": 0.021398076196018856, "bench_spy_p1w": -0.041241293054920414, "bench_c_p1w": -0.033499564474070764, "ret_p1m": 0.30330218519026597, "ret_signed_p1m": 0.30330218519026597, "alpha_spy_p1m": 0.35343794563544895, "alpha_c_p1m": 0.3400090065280379, "bench_spy_p1m": -0.050135760445182975, "bench_c_p1m": -0.03670682133777192, "ret_p3m": 0.18389010875710032, "ret_signed_p3m": 0.18389010875710032, "alpha_spy_p3m": 0.30959064192928576, "alpha_c_p3m": 0.29159681285051875, "bench_spy_p3m": -0.12570053317218544, "bench_c_p3m": -0.10770670409341843, "ret_p6m": 0.10395119342721615, "ret_signed_p6m": 0.10395119342721615, "alpha_spy_p6m": 0.10066640185523212, "alpha_c_p6m": 0.07093775162108984, "bench_spy_p6m": 0.003284791571984025, "bench_c_p6m": 0.03301344180612631, "price_path": [0.231, 0.2176, 0.209, 0.2173, 0.1838, 0.2319, 0.2363, 0.2225, 0.1971, 0.1575, 0.1354, 0.1786, 0.1706, 0.1345, 0.1077, 0.1382, 0.1485, 0.3344, 0.3291, 0.3056, 0.449, 0.4138, 0.3455, 0.3571, 0.3606, 0.3271, 0.293, 0.2806, 0.1663, 0.1775, 0.2289, 0.2279, 0.222, 0.2324, 0.2188, 0.1905, 0.1644, 0.1573, 0.1516, 0.1516, 0.1031, 0.0717, 0.0725, 0.0049, 0.0899, 0.0668, 0.1091, 0.105, 0.1269, 0.1256, 0.0878, 0.1415, 0.1389, 0.1418, 0.144, 0.149, 0.1818, 0.174, 0.0108, 0.1861, 0.1492, 0.1254, 0.0759, 0.0, -0.0435, 0.0032, -0.0194, -0.0371, -0.0121, -0.009, 0.0559, 0.0375, 0.0075, -0.0074, -0.0038, 0.1229, 0.1014, 0.202, 0.2632, 0.2783, 0.2594, 0.2877, 0.3143, 0.3224, 0.3033, 0.302, 0.3291, 0.3415, 0.3381, 0.2647, 0.2931, 0.3132, 0.3302, 0.3526, 0.3494, 0.3266, 0.291, 0.291, 0.2439, 0.3209, 0.3129, 0.328, 0.3024, 0.338, 0.3685, 0.3732, 0.3732, 0.386, 0.3666, 0.394, 0.4001, 0.3995, 0.4384, 0.3961, 0.3301, 0.2866, 0.2711, 0.204, 0.2207, 0.1277, 0.1277, 0.2449, 0.2068, 0.2746, 0.2705, 0.2705, 0.1839, 0.1466, 0.2128, 0.2787, 0.2802, 0.2923, 0.3169, 0.3257, 0.2766, 0.3149, 0.3211, 0.3259, 0.1539, 0.1539, 0.1411, 0.0979, 0.1128, 0.134, 0.1314, 0.1356, 0.1787, 0.1721, 0.1919, 0.1945, 0.2268, 0.211, 0.1739, 0.1674, 0.1943, 0.1903, 0.1764, 0.1596, 0.1753, 0.1753, 0.1668, 0.155, 0.1118, 0.1251, 0.1406, 0.1371, 0.2015, 0.2211, 0.1254, 0.0894, 0.0557, 0.0546, 0.0559, 0.0847, 0.1106, 0.0817, 0.1031, 0.1069, 0.0515, 0.0288, 0.0211, 0.0445, 0.0461, 0.0098, -0.0058, 0.0222, 0.0492, 0.0636, 0.0684, 0.104]}
{"unit_id": "thread:1179788896617615362", "ticker_idx": 0, "ts": "2019-10-03T16:02:47+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "as $TSLA passes on the cost declines associated with its battery pack systems, its market share of all auto sales has increased nearly 50%", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Long TSLA on battery cost pass-through driving ~50% market share gains; short legacy OEMs losing money on EVs as ICE erodes.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "self_thread", "lang": "en", "tweet_text": "Most #auto makers are competing with discounts in the mature end of the market and would be thrilled with a 0.1% increase in market share. As $TSLA passes on the cost declines associated with its battery pack systems, its market share of all auto sales has increased nearly 50%!\n\n---\n\nMoreover, to compete with #Tesla, traditional auto manufacturers, which have much higher cost battery solutions, will lose money on every #EV sale they make...at the same time that their #ICE-based business is disappearing.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.04334217292019504, "ret_signed_m1d": 0.04334217292019504, "alpha_spy_m1d": 0.05146834618658025, "alpha_c_m1d": 0.04816851339903905, "bench_spy_m1d": -0.008126173266385206, "bench_c_m1d": -0.0048263404788440045, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.006866001099940178, "ret_signed_p1d": -0.006866001099940178, "alpha_spy_p1d": -0.020398068204942055, "alpha_c_p1d": -0.01626389054845423, "bench_spy_p1d": 0.013532067105001877, "bench_c_p1d": 0.009397889448514052, "ret_p1w": 0.050251083841309274, "ret_signed_p1w": 0.050251083841309274, "alpha_spy_p1w": 0.04054095040179306, "alpha_c_p1w": 0.04068399423577729, "bench_spy_p1w": 0.009710133439516211, "bench_c_p1w": 0.009567089605531987, "ret_p1m": 0.3445050290740128, "ret_signed_p1m": 0.3445050290740128, "alpha_spy_p1m": 0.29037664510394867, "alpha_c_p1m": 0.31453301580543913, "bench_spy_p1m": 0.05412838397006414, "bench_c_p1m": 0.029972013268573683, "ret_p3m": 0.7951766291628282, "ret_signed_p3m": 0.7951766291628282, "alpha_spy_p3m": 0.6814709827631023, "alpha_c_p3m": 0.7297844942971088, "bench_spy_p3m": 0.11370564639972591, "bench_c_p3m": 0.06539213486571938, "ret_p6m": 1.207269660356181, "ret_signed_p6m": 1.207269660356181, "alpha_spy_p6m": 1.3252250067301854, "alpha_c_p6m": 1.3703332182246173, "bench_spy_p6m": -0.11795534637400451, "bench_c_p6m": -0.1630635578684363, "price_path": [-0.0115, -0.0127, 0.0253, 0.0239, 0.0517, 0.0878, 0.083, 0.0937, 0.088, 0.1079, 0.0972, 0.1165, 0.1367, -0.0181, -0.0214, 0.0118, 0.0396, 0.0368, 0.0035, 0.0056, -0.0202, -0.0098, 0.0017, 0.0226, 0.0085, -0.0173, 0.0085, -0.0575, -0.0746, -0.0562, -0.0266, -0.0308, -0.0524, -0.0467, -0.0928, -0.0774, -0.0813, -0.0748, -0.0486, -0.0318, -0.0318, -0.0344, -0.053, -0.0148, -0.0239, -0.0053, 0.0108, 0.0604, 0.0551, 0.0522, 0.042, 0.0505, 0.0449, 0.0582, 0.0326, 0.0352, -0.0421, -0.0186, 0.0409, 0.0391, 0.0336, 0.05, 0.0433, 0.0, -0.0069, 0.0201, 0.0301, 0.0493, 0.0503, 0.0638, 0.1027, 0.1067, 0.1147, 0.1242, 0.1026, 0.0878, 0.0968, 0.0929, 0.286, 0.4081, 0.4063, 0.357, 0.3518, 0.3514, 0.3445, 0.3624, 0.3613, 0.4015, 0.4399, 0.4468, 0.4809, 0.5017, 0.4853, 0.4992, 0.5113, 0.5019, 0.5428, 0.5115, 0.5227, 0.4292, 0.4433, 0.4115, 0.4217, 0.4217, 0.4159, 0.437, 0.4427, 0.4291, 0.4177, 0.4414, 0.457, 0.497, 0.5135, 0.5435, 0.538, 0.6371, 0.6264, 0.6871, 0.7339, 0.7405, 0.799, 0.8249, 0.8249, 0.8493, 0.8469, 0.7796, 0.7952, 0.7952, 0.8464, 0.9011, 0.9377, 1.0129, 1.1119, 1.0656, 1.0519, 1.2523, 1.3084, 1.225, 1.2035, 1.1907, 1.1907, 1.3482, 1.4441, 1.4555, 1.4238, 1.3946, 1.4327, 1.4932, 1.7499, 1.7918, 2.3472, 2.8066, 2.1528, 2.214, 2.2102, 2.3098, 2.3231, 2.2927, 2.4502, 2.4332, 2.4332, 2.6836, 2.9369, 2.8596, 2.8665, 2.578, 2.4326, 2.3421, 1.9138, 1.8665, 2.1911, 2.1992, 2.2163, 2.1092, 2.0188, 1.6091, 1.7693, 1.7217, 1.4055, 1.3457, 0.9099, 0.8461, 0.5501, 0.8351, 0.8347, 0.8637, 1.1671, 1.3141, 1.2665, 1.2073]}
{"unit_id": "thread:1179788896617615362", "ticker_idx": 1, "ts": "2019-10-03T16:02:47+00:00", "symbol": "traditional auto manufacturers", "kind": "sector", "geography": null, "sub_sector": null, "direction": "short", "conviction": "high", "explicit": false, "explicit_audit": "kept_implicit_alias_present", "polarity_reversed": false, "quote": "to compete with #Tesla, traditional auto manufacturers, which have much higher cost battery solutions, will lose money on every #EV sale they make...at the same time that their #ICE-based business is disappearing", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Long TSLA on battery cost pass-through driving ~50% market share gains; short legacy OEMs losing money on EVs as ICE erodes.", "resolved_tickers": ["CARZ"], "resolution_method": "etf", "resolution_reason": "Traditional automakers global basket; CARZ proxy", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "self_thread", "lang": "en", "tweet_text": "Most #auto makers are competing with discounts in the mature end of the market and would be thrilled with a 0.1% increase in market share. As $TSLA passes on the cost declines associated with its battery pack systems, its market share of all auto sales has increased nearly 50%!\n\n---\n\nMoreover, to compete with #Tesla, traditional auto manufacturers, which have much higher cost battery solutions, will lose money on every #EV sale they make...at the same time that their #ICE-based business is disappearing.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.002587341734807014, "ret_signed_m1d": -0.002587341734807014, "alpha_spy_m1d": -0.01071351500119222, "alpha_c_m1d": -0.01071351500119222, "bench_spy_m1d": -0.008126173266385206, "bench_c_m1d": -0.008126173266385206, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.00485124867955844, "ret_signed_p1d": -0.00485124867955844, "alpha_spy_p1d": 0.008680818425443437, "alpha_c_p1d": 0.008680818425443437, "bench_spy_p1d": 0.013532067105001877, "bench_c_p1d": 0.013532067105001877, "ret_p1w": 0.015200683911605006, "ret_signed_p1w": -0.015200683911605006, "alpha_spy_p1w": -0.005490550472088795, "alpha_c_p1w": -0.005490550472088795, "bench_spy_p1w": 0.009710133439516211, "bench_c_p1w": 0.009710133439516211, "ret_p1m": 0.1041397194585636, "ret_signed_p1m": -0.1041397194585636, "alpha_spy_p1m": -0.05001133548849945, "alpha_c_p1m": -0.05001133548849945, "bench_spy_p1m": 0.05412838397006414, "bench_c_p1m": 0.05412838397006414, "ret_p3m": 0.10192962725506294, "ret_signed_p3m": -0.10192962725506294, "alpha_spy_p3m": 0.011776019144662975, "alpha_c_p3m": 0.011776019144662975, "bench_spy_p3m": 0.11370564639972591, "bench_c_p3m": 0.11370564639972591, "ret_p6m": -0.20381752759781102, "ret_signed_p6m": 0.20381752759781102, "alpha_spy_p6m": 0.08586218122380651, "alpha_c_p6m": 0.08586218122380651, "bench_spy_p6m": -0.11795534637400451, "bench_c_p6m": -0.11795534637400451, "price_path": [0.0647, 0.0502, 0.0528, 0.0441, 0.0441, 0.0595, 0.0595, 0.0554, 0.0506, 0.0534, 0.0531, 0.0701, 0.081, 0.0534, 0.0483, 0.0435, 0.0348, 0.03, 0.0105, -0.0078, -0.0226, -0.0104, -0.0152, 0.0031, -0.0053, -0.0053, -0.0126, -0.0425, -0.0534, -0.0389, -0.0335, -0.0335, -0.0319, -0.0293, -0.0454, -0.0351, -0.0332, -0.0271, -0.0187, -0.0155, -0.0155, -0.0155, -0.0065, 0.0178, 0.0178, 0.0377, 0.0451, 0.0592, 0.0634, 0.0756, 0.0627, 0.0541, 0.0573, 0.0541, 0.0477, 0.0438, 0.0352, 0.0349, 0.0385, 0.0359, 0.0388, 0.0388, 0.0026, 0.0, 0.0049, 0.0071, -0.0006, 0.0071, 0.0152, 0.0456, 0.0391, 0.0582, 0.0682, 0.0673, 0.0608, 0.0676, 0.0708, 0.0712, 0.0809, 0.0928, 0.1071, 0.109, 0.1061, 0.0867, 0.1041, 0.1145, 0.1197, 0.1087, 0.1216, 0.1255, 0.1271, 0.1261, 0.1164, 0.1071, 0.1119, 0.1038, 0.1032, 0.0857, 0.0912, 0.0906, 0.0986, 0.0948, 0.098, 0.098, 0.0818, 0.076, 0.0737, 0.0854, 0.0818, 0.0899, 0.0802, 0.0802, 0.0889, 0.1032, 0.1055, 0.1137, 0.114, 0.1163, 0.114, 0.1111, 0.1117, 0.1045, 0.1045, 0.1101, 0.1098, 0.0974, 0.1019, 0.1019, 0.1179, 0.101, 0.1019, 0.1068, 0.112, 0.1111, 0.1039, 0.1241, 0.1235, 0.1104, 0.1104, 0.115, 0.115, 0.1134, 0.1173, 0.1127, 0.0957, 0.068, 0.083, 0.0866, 0.0954, 0.0788, 0.1156, 0.1597, 0.1274, 0.1355, 0.1218, 0.1267, 0.1359, 0.1496, 0.1453, 0.1349, 0.1349, 0.1437, 0.1613, 0.1594, 0.1509, 0.0928, 0.0713, 0.0765, 0.0239, 0.0128, 0.0425, 0.0275, 0.0471, 0.0109, -0.0064, -0.0965, -0.0602, -0.0935, -0.1976, -0.1764, -0.2808, -0.2622, -0.3252, -0.3043, -0.3086, -0.3216, -0.2309, -0.1921, -0.1777, -0.2038]}
{"unit_id": "thread:1158130541872504838", "ticker_idx": 0, "ts": "2019-08-04T21:40:12+00:00", "symbol": "BTC-USD", "kind": "crypto", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "bitcoin would become the new age hedge, serving a noble role alongside gold and silver", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bitcoin as inflation hedge if banks activate reserve kindling and inflate; bullish BTC alongside gold/silver.", "resolved_tickers": ["BTC-USD"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": null, "bench_c_reason": "no_country_fallback (all FX/crypto/index)", "bench_c_industry": null, "unit_kind": "self_thread", "lang": "en", "tweet_text": "The 50 years ending in the Roaring Twenties also spawned more transformational innovation than any other period except now: yield curves were inverted more than 50% of the time, with the steepest inversions during periods of most rapid growth thanks to “good deflation”.\n\n---\n\nHow will banks respond to inverted yield curves that will crush their net interest margins, not to mention online services like the #CashApp by $SQ and #Venmo by $PYPL nipping at their heels and #Marcus by $GS with high interest-bearing accounts aiming for their heads?\n\n---\n\nBanks could activate the $3 trillion+ in fiat “kindling” that has accumulated in reserves at the Fed during the past 10 years. With an aggressive push into variable rate loans, they could arrest the decline in money velocity and raise the specter of inflation once again.\n\n---\n\nIn that environment, #bitcoin would become the new age hedge, serving a noble role alongside #gold and silver.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.10905610055563786, "ret_signed_m1d": -0.10905610055563786, "alpha_spy_m1d": -0.1400617005855711, "alpha_c_m1d": null, "bench_spy_m1d": 0.031005600029933245, "bench_c_m1d": null, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": null, "bench_spy_t0": 0.0, "bench_c_t0": null, "ret_p1d": -0.027739623222421628, "ret_signed_p1d": -0.027739623222421628, "alpha_spy_p1d": -0.04176280137155497, "alpha_c_p1d": null, "bench_spy_p1d": 0.014023178149133342, "bench_c_p1d": null, "ret_p1w": -0.035833434872014513, "ret_signed_p1w": -0.035833434872014513, "alpha_spy_p1w": -0.0508077094189906, "alpha_c_p1w": null, "bench_spy_p1w": 0.014974274546976085, "bench_c_p1w": null, "ret_p1m": -0.10013111931857988, "ret_signed_p1m": -0.10013111931857988, "alpha_spy_p1m": -0.1245126601850195, "alpha_c_p1m": null, "bench_spy_p1m": 0.02438154086643962, "bench_c_p1m": null, "ret_p3m": -0.22074749178777486, "ret_signed_p3m": -0.22074749178777486, "alpha_spy_p3m": -0.29442366882450444, "alpha_c_p3m": null, "bench_spy_p3m": 0.07367617703672957, "bench_c_p3m": null, "ret_p6m": -0.20727895442704103, "ret_signed_p6m": -0.20727895442704103, "alpha_spy_p6m": -0.37003759723493124, "alpha_c_p6m": null, "bench_spy_p6m": 0.1627586428078902, "bench_c_p6m": null, "price_path": [-0.4933, -0.477, -0.4597, -0.338, -0.3228, -0.305, -0.3321, -0.3779, -0.3242, -0.3255, -0.3495, -0.3324, -0.3234, -0.2541, -0.2614, -0.2665, -0.2953, -0.2737, -0.3047, -0.3471, -0.3372, -0.3374, -0.3186, -0.3223, -0.3285, -0.31, -0.3028, -0.2636, -0.2105, -0.2307, -0.2145, -0.193, -0.1407, -0.0673, -0.0012, 0.1025, -0.0528, 0.051, -0.1036, -0.085, 0.0132, -0.05, -0.0701, 0.0407, 0.0651, 0.0297, -0.0379, 0.0009, -0.0771, -0.1972, -0.1789, -0.0965, -0.108, -0.1239, -0.1614, -0.1689, -0.1604, -0.1639, -0.1937, -0.1862, -0.1457, -0.1191, -0.1091, 0.0, -0.0277, 0.0115, 0.0136, 0.0049, -0.0358, -0.0771, -0.1486, -0.1266, -0.1212, -0.0754, -0.0883, -0.1413, -0.1418, -0.1184, -0.1215, -0.1372, -0.1737, -0.1944, -0.187, -0.1236, -0.1001, -0.1026, -0.1042, -0.123, -0.1246, -0.1431, -0.1378, -0.1182, -0.1224, -0.1295, -0.1325, -0.1362, -0.1304, -0.1376, -0.1759, -0.2698, -0.2811, -0.3123, -0.301, -0.2975, -0.2933, -0.2891, -0.3003, -0.3049, -0.3016, -0.303, -0.2719, -0.2727, -0.2951, -0.2906, -0.305, -0.3183, -0.3136, -0.3246, -0.3017, -0.3157, -0.3635, -0.3653, -0.2664, -0.216, -0.2014, -0.2202, -0.2207, -0.2155, -0.2027, -0.2086, -0.2071, -0.215, -0.2542, -0.2582, -0.2533, -0.2539, -0.2624, -0.2807, -0.2962, -0.3049, -0.32, -0.3526, -0.3819, -0.3947, -0.3886, -0.362, -0.3678, -0.3426, -0.3798, -0.3799, -0.3857, -0.3691, -0.3607, -0.3731, -0.3835, -0.3886, -0.3865, -0.3842, -0.4128, -0.4375, -0.3836, -0.3899, -0.3885, -0.3769, -0.3797, -0.3838, -0.3868, -0.3825, -0.3822, -0.3907, -0.3901, -0.4083, -0.3779, -0.3419, -0.3085, -0.3156, -0.3326, -0.3083, -0.3101, -0.2522, -0.254, -0.2611, -0.2437, -0.2667, -0.2592, -0.2647, -0.2879, -0.2846, -0.2453, -0.2073]}
{"unit_id": "quote:1657862241377738753", "ticker_idx": 0, "ts": "2023-05-14T21:35:34+00:00", "symbol": "AAPL", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "its base business is stagnating and its high-margin Apps platform could be disintermediated by ChatGPT plugins. Given these risks, $AAPL's call options must work in a big way to justify this valuation", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bearish AAPL: base business stagnating, App Store margins at risk from ChatGPT disintermediation; upside options must pay off in a big way to justify current valuation.", "resolved_tickers": ["AAPL"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLK", "bench_c_reason": "industry='Consumer Electronics'", "bench_c_industry": "Consumer Electronics", "unit_kind": "quote", "lang": "en", "tweet_text": "Apple offers big calls options in payments and health care, BUT its base business is stagnating and its high-margin Apps platform could be disintermediated by ChatGPT plugins. Given these risks, $AAPL’s call options must work in a big way to justify this valuation.", "reply_text": null, "parent_text": null, "quoted_text": "Apple $AAPL is now larger than the combined market cap of all the stocks in the Russell 2000 https://t.co/3TLzInwvtw", "parent_author": null, "ret_m1d": 0.0029058867135802746, "ret_signed_m1d": -0.0029058867135802746, "alpha_spy_m1d": -0.006344317947374334, "alpha_c_m1d": -0.011118938446430637, "bench_spy_m1d": -0.0034384312337940592, "bench_c_m1d": -0.008213051732850363, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0, "ret_signed_p1d": -0.0, "alpha_spy_p1d": -0.006682903617731828, "alpha_c_p1d": 0.0010512730782894497, "bench_spy_p1d": -0.006682903617731828, "bench_c_p1d": 0.0010512730782894497, "ret_p1w": 0.012378613407543426, "ret_signed_p1w": -0.012378613407543426, "alpha_spy_p1w": 0.0016161395678935264, "alpha_c_p1w": 0.02428360122186679, "bench_spy_p1w": 0.013994752975436953, "bench_c_p1w": 0.03666221462941022, "ret_p1m": 0.06532238383422029, "ret_signed_p1m": -0.06532238383422029, "alpha_spy_p1m": -0.008060064625406538, "alpha_c_p1m": 0.05589960673922456, "bench_spy_p1m": 0.05726231920881375, "bench_c_p1m": 0.12122199057344485, "ret_p3m": 0.03428831223157469, "ret_signed_p3m": -0.03428831223157469, "alpha_spy_p3m": 0.04938120492376319, "alpha_c_p3m": 0.0727561795161209, "bench_spy_p3m": 0.08366951715533788, "bench_c_p3m": 0.10704449174769559, "ret_p6m": 0.058089858764697855, "ret_signed_p6m": -0.058089858764697855, "alpha_spy_p6m": 0.007501403596435585, "alpha_c_p6m": 0.09513101738354246, "bench_spy_p6m": 0.06559126236113344, "bench_c_p6m": 0.15322087614824031, "price_path": [-0.0985, -0.1079, -0.1147, -0.1147, -0.1383, -0.1358, -0.1329, -0.1486, -0.1415, -0.1445, -0.1567, -0.1532, -0.1235, -0.1072, -0.1202, -0.1128, -0.126, -0.1382, -0.1267, -0.1144, -0.1121, -0.0955, -0.1004, -0.0865, -0.0756, -0.084, -0.0776, -0.07, -0.0814, -0.0851, -0.067, -0.0577, -0.043, -0.0356, -0.0388, -0.0496, -0.0444, -0.0444, -0.0596, -0.0668, -0.0709, -0.0392, -0.0412, -0.0411, -0.0339, -0.0271, -0.0328, -0.0423, -0.0405, -0.0496, -0.0496, -0.0226, -0.0153, -0.0158, -0.0219, -0.0282, -0.0378, 0.0073, 0.0069, -0.0031, 0.0073, 0.0084, 0.0029, 0.0, 0.0, 0.0036, 0.0173, 0.018, 0.0124, -0.003, -0.0013, 0.0053, 0.0195, 0.0195, 0.0304, 0.0301, 0.0466, 0.0516, 0.0436, 0.0415, 0.0334, 0.0494, 0.0517, 0.0681, 0.0653, 0.069, 0.081, 0.0747, 0.0747, 0.0752, 0.0691, 0.0868, 0.0849, 0.0767, 0.0929, 0.0998, 0.1018, 0.1273, 0.1185, 0.1185, 0.1119, 0.1147, 0.1082, 0.0961, 0.093, 0.1029, 0.1073, 0.1082, 0.1274, 0.1259, 0.1338, 0.1224, 0.1155, 0.1202, 0.1252, 0.1304, 0.1229, 0.1381, 0.1417, 0.1368, 0.1192, 0.111, 0.0577, 0.0394, 0.0449, 0.0356, 0.0343, 0.0346, 0.0444, 0.0327, 0.0275, 0.0126, 0.0154, 0.0233, 0.0314, 0.054, 0.0264, 0.0394, 0.0486, 0.0715, 0.092, 0.0933, 0.1026, 0.1026, 0.1039, 0.0644, 0.0333, 0.0369, 0.0438, 0.026, 0.0138, 0.0227, 0.0185, 0.0357, 0.0421, 0.0213, 0.0122, 0.0172, 0.0247, 0.0007, -0.0082, -0.0067, -0.0037, 0.0111, 0.0033, 0.0106, 0.0179, 0.0329, 0.0416, 0.0381, 0.0463, 0.0516, 0.0408, 0.04, 0.0309, 0.0233, 0.0211, 0.0061, 0.0068, 0.0093, -0.0043, -0.0288, -0.0211, -0.009, -0.0062, 0.0124, 0.0334, 0.028, 0.043, 0.0581]}
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{"unit_id": "reply:1343265104129875968", "ticker_idx": 0, "ts": "2020-12-27T18:38:52+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "autonomous taxi networks like the one that @ARKInvest believes $TSLA will dominate in the US", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bearish Uber (take rate collapses to <5% as robo-taxi lead gen) / Bullish TSLA as the dominant autonomous taxi network in the US.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "reply_other", "lang": "en", "tweet_text": "@FOCUS_ON_RISK Strong brand, yes, but its take rate is likely to drop from 20-25% to 5% or less as a lead generator for autonomous taxi networks like the one that @ARKInvest believes $TSLA will dominate in the US.", "reply_text": null, "parent_text": "@CathieDWood Uber is a verb... Don't count out strong brands. Plus think how profitable Uber would be if they raised prices by .50 which wouldn't hurt demand.", "quoted_text": null, "parent_author": "FOCUS_ON_RISK", "ret_m1d": -0.002892914170810057, "ret_signed_m1d": -0.002892914170810057, "alpha_spy_m1d": 0.0056244052830604074, "alpha_c_m1d": 0.008379734297999764, "bench_spy_m1d": -0.008517319453870464, "bench_c_m1d": -0.01127264846880982, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.003465523985226371, "ret_signed_p1d": 0.003465523985226371, "alpha_spy_p1d": 0.005373128020640827, "alpha_c_p1d": 0.003152419781834892, "bench_spy_p1d": -0.0019076040354144563, "bench_c_p1d": 0.0003131042033914788, "ret_p1w": 0.09956458341394492, "ret_signed_p1w": 0.09956458341394492, "alpha_spy_p1w": 0.10864615975708292, "alpha_c_p1w": 0.10119320374982865, "bench_spy_p1w": -0.009081576343137998, "bench_c_p1w": -0.0016286203358837348, "ret_p1m": 0.3305760880983166, "ret_signed_p1m": 0.3305760880983166, "alpha_spy_p1m": 0.29935328634177427, "alpha_c_p1m": 0.26206428304311413, "bench_spy_p1m": 0.03122280175654235, "bench_c_p1m": 0.06851180505520249, "ret_p3m": -0.03510673393142161, "ret_signed_p3m": -0.03510673393142161, "alpha_spy_p3m": -0.085638642499961, "alpha_c_p3m": -0.06812033746673796, "bench_spy_p3m": 0.050531908568539396, "bench_c_p3m": 0.03301360353531635, "ret_p6m": -0.06023893872268005, "ret_signed_p6m": -0.06023893872268005, "alpha_spy_p6m": -0.20456697227508935, "alpha_c_p6m": -0.1586705867094229, "bench_spy_p6m": 0.1443280335524093, "bench_c_p6m": 0.09843164798674287, "price_path": [-0.3536, -0.3247, -0.3746, -0.3586, -0.3762, -0.3592, -0.3583, -0.3461, -0.3336, -0.327, -0.3049, -0.3237, -0.3375, -0.3509, -0.3643, -0.3632, -0.3585, -0.3662, -0.3668, -0.3601, -0.3882, -0.381, -0.4153, -0.3965, -0.3613, -0.3657, -0.3399, -0.3522, -0.3653, -0.3817, -0.3715, -0.3796, -0.3845, -0.3851, -0.3346, -0.2668, -0.2477, -0.2623, -0.2137, -0.1632, -0.1351, -0.1351, -0.1174, -0.1448, -0.1189, -0.1429, -0.1059, -0.0974, -0.033, -0.0208, -0.0892, -0.0552, -0.0809, -0.036, -0.0459, -0.0617, -0.0117, 0.0472, -0.0208, -0.0352, -0.0267, -0.0029, -0.0029, 0.0, 0.0035, 0.0468, 0.0633, 0.0633, 0.0996, 0.1076, 0.1391, 0.2295, 0.326, 0.2222, 0.2799, 0.2874, 0.2732, 0.2448, 0.2448, 0.2725, 0.2814, 0.2732, 0.2757, 0.3271, 0.3306, 0.3021, 0.2588, 0.1956, 0.2654, 0.3151, 0.2878, 0.2807, 0.2841, 0.3009, 0.2799, 0.2126, 0.223, 0.2297, 0.2297, 0.1997, 0.2026, 0.1864, 0.1772, 0.0766, 0.053, 0.118, 0.0279, 0.0178, 0.0825, 0.0343, -0.0158, -0.0637, -0.0991, -0.1517, 0.0149, 0.0066, 0.0541, 0.0453, 0.0667, 0.0199, 0.0574, -0.0159, -0.0133, 0.0095, -0.0023, -0.0504, -0.0351, -0.0678, -0.079, -0.0423, 0.0064, -0.0029, -0.0029, 0.0412, 0.0421, 0.011, 0.0303, 0.0201, 0.0577, 0.1486, 0.1033, 0.1132, 0.1146, 0.0768, 0.0833, 0.1212, 0.0844, 0.099, 0.1123, 0.0619, 0.0463, 0.0201, 0.0689, 0.032, 0.0149, 0.0109, -0.0002, 0.0131, -0.0522, -0.07, -0.1112, -0.1386, -0.1114, -0.1309, -0.1293, -0.151, -0.1159, -0.1248, -0.0863, -0.0889, -0.0671, -0.0495, -0.058, -0.058, -0.06, -0.0882, -0.1369, -0.0974, -0.0882, -0.0906, -0.0978, -0.0807, -0.0811, -0.0693, -0.0969, -0.0886, -0.071, -0.0608, -0.0646, -0.0602]}
{"unit_id": "reply:1343265104129875968", "ticker_idx": 1, "ts": "2020-12-27T18:38:52+00:00", "symbol": "Uber", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "its take rate is likely to drop from 20-25% to 5% or less as a lead generator for autonomous taxi networks", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bearish Uber (take rate collapses to <5% as robo-taxi lead gen) / Bullish TSLA as the dominant autonomous taxi network in the US.", "resolved_tickers": ["UBER"], "resolution_method": "exchange_ticker", "resolution_reason": "Uber Technologies listed as UBER on NYSE", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": "Software - Application", "unit_kind": "reply_other", "lang": "en", "tweet_text": "@FOCUS_ON_RISK Strong brand, yes, but its take rate is likely to drop from 20-25% to 5% or less as a lead generator for autonomous taxi networks like the one that @ARKInvest believes $TSLA will dominate in the US.", "reply_text": null, "parent_text": "@CathieDWood Uber is a verb... Don't count out strong brands. Plus think how profitable Uber would be if they raised prices by .50 which wouldn't hurt demand.", "quoted_text": null, "parent_author": "FOCUS_ON_RISK", "ret_m1d": 0.017510098634548443, "ret_signed_m1d": -0.017510098634548443, "alpha_spy_m1d": -0.026027418088418908, "alpha_c_m1d": -0.026027418088418908, "bench_spy_m1d": -0.008517319453870464, "bench_c_m1d": -0.008517319453870464, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.005772546276967105, "ret_signed_p1d": -0.005772546276967105, "alpha_spy_p1d": -0.007680150312381562, "alpha_c_p1d": -0.007680150312381562, "bench_spy_p1d": -0.0019076040354144563, "bench_c_p1d": -0.0019076040354144563, "ret_p1w": -0.015970787214914295, "ret_signed_p1w": 0.015970787214914295, "alpha_spy_p1w": 0.006889210871776297, "alpha_c_p1w": 0.006889210871776297, "bench_spy_p1w": -0.009081576343137998, "bench_c_p1w": -0.009081576343137998, "ret_p1m": -0.0009621522144180883, "ret_signed_p1m": 0.0009621522144180883, "alpha_spy_p1m": 0.03218495397096044, "alpha_c_p1m": 0.03218495397096044, "bench_spy_p1m": 0.03122280175654235, "bench_c_p1m": 0.03122280175654235, "ret_p3m": 0.03694435489411618, "ret_signed_p3m": -0.03694435489411618, "alpha_spy_p3m": 0.013587553674423214, "alpha_c_p3m": 0.013587553674423214, "bench_spy_p3m": 0.050531908568539396, "bench_c_p3m": 0.050531908568539396, "ret_p6m": -0.0561862981538539, "ret_signed_p6m": 0.0561862981538539, "alpha_spy_p6m": 0.2005143317062632, "alpha_c_p6m": 0.2005143317062632, "bench_spy_p6m": 0.1443280335524093, "bench_c_p6m": 0.1443280335524093, "price_path": [-0.2981, -0.2854, -0.2742, -0.2854, -0.3023, -0.2923, -0.2815, -0.2829, -0.3023, -0.3158, -0.3244, -0.3408, -0.3512, -0.3415, -0.3013, -0.3227, -0.2938, -0.2929, -0.3171, -0.3427, -0.3525, -0.3446, -0.3571, -0.3302, -0.3117, -0.2113, -0.1926, -0.1366, -0.0729, -0.0956, -0.1104, -0.1072, -0.0839, -0.0531, -0.0593, -0.055, -0.0521, -0.0681, -0.0371, -0.0137, -0.0225, -0.0225, -0.0241, -0.0444, -0.045, 0.0216, 0.0106, 0.0556, 0.0352, 0.02, 0.035, 0.0458, 0.0127, -0.0098, -0.0187, -0.0285, -0.0258, -0.026, -0.0033, 0.0348, 0.0335, 0.0175, 0.0175, 0.0, 0.0058, 0.0227, -0.0187, -0.0187, -0.016, 0.0393, 0.0098, 0.08, 0.0252, 0.0504, 0.1264, 0.143, 0.0951, 0.0683, 0.0683, 0.0833, 0.0849, 0.0735, 0.045, 0.0446, -0.001, -0.0743, -0.0075, -0.02, 0.0152, 0.0864, 0.0991, 0.1131, 0.1272, 0.1409, 0.147, 0.2157, 0.1682, 0.1666, 0.1666, 0.1645, 0.1701, 0.1353, 0.1235, 0.0643, 0.0775, 0.0373, -0.01, -0.0042, 0.0468, 0.0516, 0.0797, 0.0212, 0.0687, 0.0237, 0.0631, 0.1099, 0.1343, 0.1612, 0.1582, 0.1324, 0.0845, 0.0716, 0.0983, 0.0716, 0.0292, 0.0115, 0.0369, 0.0527, 0.0266, 0.0287, 0.0489, 0.1083, 0.1083, 0.1045, 0.117, 0.0947, 0.1128, 0.1099, 0.1437, 0.1668, 0.1397, 0.1688, 0.1612, 0.1131, 0.0675, 0.0731, 0.0829, 0.1147, 0.1085, 0.0999, 0.1245, 0.057, 0.0539, 0.0554, 0.0196, -0.0152, -0.1024, -0.0951, -0.1189, -0.1108, -0.157, -0.1441, -0.0876, -0.0858, -0.0539, -0.0481, -0.0508, -0.0606, -0.0373, -0.0291, -0.0164, -0.0242, -0.0219, -0.0219, -0.019, -0.0227, -0.0629, -0.0344, -0.0233, -0.0402, -0.0545, -0.0466, -0.0377, -0.0231, -0.0514, -0.0593, -0.0437, -0.0437, -0.0741, -0.0562]}
{"unit_id": "thread:1611520845985325056", "ticker_idx": 0, "ts": "2023-01-07T00:31:24+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Tesla remains 3-4+ years ahead of the competition in battery costs and is in a world of its own in chip design and data assets for autonomous mobility", "tweet_type": "analysis", "timeline": "years", "summary": "Long TSLA: 3-4+ yr lead in battery costs, chip design, autonomous data assets; $25K next-gen EV could drive massive demand growth beyond ARK's 60M unit forecast.", "resolved_tickers": ["TSLA"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Auto Manufacturers'", "bench_c_industry": "Auto Manufacturers", "unit_kind": "self_thread", "lang": "en", "tweet_text": "Tesla’s goal has been to drive prices down and increase #EV adoption. At Investor Day (3/1), Elon could announce a step-function drop in pricing, much like he did for the Model 3, to ~$25,000 for the next gen EV. Gas-powered vehicles boomed at that price point.\n\n---\n\nBased on the historical demand response to a $25,000 price point in gas-powered vehicles, ARK’s forecast that EVs will scale from ~8.5 million in 2022 to 60 million units - 75% of the market - during the next five years could be too conservative.\n\n---\n\nMoreover, in our view, Tesla remains 3-4+ years ahead of the competition in battery costs and is in a world of its own in chip design and data assets for autonomous mobility: think Apple chip design for smart phones vis a vis Nokia, Motorola, Ericsson, and Blackberry. New world.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.05602404001454153, "ret_signed_m1d": -0.05602404001454153, "alpha_spy_m1d": -0.05659143157118396, "alpha_c_m1d": -0.050003182740317786, "bench_spy_m1d": 0.000567391556642427, "bench_c_m1d": -0.006020857274223745, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.007681374256751861, "ret_signed_p1d": -0.007681374256751861, "alpha_spy_p1d": -0.014694442237203953, "alpha_c_p1d": -0.02024992119447222, "bench_spy_p1d": 0.007013067980452092, "bench_c_p1d": 0.01256854693772036, "ret_p1w": 0.021958795662742947, "ret_signed_p1w": 0.021958795662742947, "alpha_spy_p1w": -0.00547396642693232, "alpha_c_p1w": -0.029444723360415592, "bench_spy_p1w": 0.027432762089675267, "bench_c_p1w": 0.05140351902315854, "ret_p1m": 0.6432328886600771, "ret_signed_p1m": 0.6432328886600771, "alpha_spy_p1m": 0.5727691443485612, "alpha_c_p1m": 0.5031713756961402, "bench_spy_p1m": 0.07046374431151592, "bench_c_p1m": 0.14006151296393687, "ret_p3m": 0.5451281852340859, "ret_signed_p3m": 0.5451281852340859, "alpha_spy_p3m": 0.486107480243716, "alpha_c_p3m": 0.45103448036764426, "bench_spy_p3m": 0.05902070499036993, "bench_c_p3m": 0.09409370486644164, "ret_p6m": 1.3363113898894627, "ret_signed_p6m": 1.3363113898894627, "alpha_spy_p6m": 1.1834763116472093, "alpha_c_p6m": 1.0363101504227168, "bench_spy_p6m": 0.1528350782422534, "bench_c_p6m": 0.30000123946674595, "price_path": [0.8138, 0.8512, 0.7115, 0.8314, 0.8384, 0.8539, 0.7307, 0.7904, 0.7638, 0.8571, 0.8756, 0.8794, 0.908, 0.8998, 0.9021, 0.7949, 0.7977, 0.7322, 0.6455, 0.5972, 0.4828, 0.5924, 0.6362, 0.5943, 0.6233, 0.5607, 0.5293, 0.5045, 0.4016, 0.4186, 0.5296, 0.5296, 0.5268, 0.5273, 0.5098, 0.6256, 0.6256, 0.627, 0.5233, 0.5014, 0.4531, 0.4481, 0.4949, 0.4012, 0.3438, 0.3092, 0.3164, 0.2543, 0.2513, 0.1505, 0.1486, 0.0466, 0.0282, 0.0282, -0.0891, -0.0589, 0.0171, 0.0285, 0.0285, -0.0974, -0.0512, -0.0787, -0.056, 0.0, -0.0077, 0.0288, 0.0316, 0.022, 0.022, 0.0979, 0.0752, 0.0618, 0.114, 0.2002, 0.2014, 0.2059, 0.3381, 0.4853, 0.3915, 0.4463, 0.5147, 0.5719, 0.5862, 0.6261, 0.6432, 0.6806, 0.731, 0.6439, 0.6251, 0.7471, 0.7888, 0.6869, 0.7393, 0.7393, 0.6479, 0.677, 0.6872, 0.6438, 0.7336, 0.7175, 0.693, 0.5939, 0.6514, 0.6182, 0.5673, 0.5196, 0.4438, 0.4481, 0.4568, 0.5301, 0.5066, 0.5374, 0.504, 0.53, 0.6497, 0.596, 0.6049, 0.5898, 0.6015, 0.5796, 0.6188, 0.6305, 0.7322, 0.6262, 0.6079, 0.549, 0.5451, 0.5451, 0.5405, 0.5596, 0.5074, 0.5521, 0.5446, 0.5617, 0.5389, 0.5078, 0.3609, 0.3783, 0.3572, 0.3415, 0.2837, 0.3375, 0.3719, 0.3512, 0.3385, 0.341, 0.3459, 0.4199, 0.4343, 0.4123, 0.4072, 0.4368, 0.4025, 0.3889, 0.3903, 0.4516, 0.4769, 0.504, 0.5769, 0.5511, 0.5271, 0.5402, 0.6128, 0.6128, 0.6796, 0.7027, 0.7327, 0.7865, 0.8169, 0.8478, 0.875, 0.9609, 1.0406, 1.0859, 1.1601, 1.144, 1.1366, 1.1753, 1.1753, 1.2915, 1.1663, 1.2093, 1.1424, 1.0126, 1.0891, 1.1394, 1.15, 1.1856, 1.3363, 1.3363]}
{"unit_id": "quote:1919886268223128047", "ticker_idx": 0, "ts": "2025-05-06T22:45:30+00:00", "symbol": "electric vehicles", "kind": "sector", "geography": "global", "sub_sector": null, "direction": "long", "conviction": "low", "explicit": false, "explicit_audit": "kept_implicit_alias_present", "polarity_reversed": false, "quote": "EVs will continue to take share from gas powered vehicles globally, as they did throughout 2024 and the first quarter of 2025", "tweet_type": "prediction", "timeline": "quarters", "summary": "Bullish global EV sector; expects continued market-share gains from ICE vehicles.", "resolved_tickers": ["DRIV"], "resolution_method": "etf", "resolution_reason": "Global EV sector; DRIV is global EV/autonomous ETF", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "quote", "lang": "en", "tweet_text": "In our view, EVs will continue to take share from gas powered vehicles globally, as they did throughout 2024 and the first quarter of 2025. Great perspective, @akaash_ARK!", "reply_text": null, "parent_text": null, "quoted_text": "Don’t let the noise drown out the signal. While headlines claim electric vehicles are dying, the facts tell a different story—they’re gaining momentum. See the numbers for yourself in our new research blog from @akaash_ARK.\n\nhttps://t.co/OIui5uRdNu", "parent_author": null, "ret_m1d": 0.005673825159173473, "ret_signed_m1d": 0.005673825159173473, "alpha_spy_m1d": -0.00275505742144877, "alpha_c_m1d": -0.00275505742144877, "bench_spy_m1d": 0.008428882580622243, "bench_c_m1d": 0.008428882580622243, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.0070921901653393515, "ret_signed_p1d": -0.0070921901653393515, "alpha_spy_p1d": -0.011297738015087821, "alpha_c_p1d": -0.011297738015087821, "bench_spy_p1d": 0.00420554784974847, "bench_c_p1d": 0.00420554784974847, "ret_p1w": 0.07328614760909469, "ret_signed_p1w": 0.07328614760909469, "alpha_spy_p1w": 0.023107146403232637, "alpha_c_p1w": 0.023107146403232637, "bench_spy_p1w": 0.05017900120586205, "bench_c_p1w": 0.05017900120586205, "ret_p1m": 0.058628826803648115, "ret_signed_p1m": 0.058628826803648115, "alpha_spy_p1m": -0.00781721625054721, "alpha_c_p1m": -0.00781721625054721, "bench_spy_p1m": 0.06644604305419533, "bench_c_p1m": 0.06644604305419533, "ret_p3m": 0.12734878479127132, "ret_signed_p3m": 0.12734878479127132, "alpha_spy_p3m": 0.011461177994031235, "alpha_c_p3m": 0.011461177994031235, "bench_spy_p3m": 0.11588760679724008, "bench_c_p3m": 0.11588760679724008, "ret_p6m": 0.46264806318506646, "ret_signed_p6m": 0.46264806318506646, "alpha_spy_p6m": 0.22547270828983512, "alpha_c_p6m": 0.22547270828983512, "bench_spy_p6m": 0.23717535489523134, "bench_c_p6m": 0.23717535489523134, "price_path": [0.1026, 0.0913, 0.0993, 0.0837, 0.0903, 0.1173, 0.1248, 0.1248, 0.1381, 0.1404, 0.1456, 0.1229, 0.1111, 0.0993, 0.1083, 0.0851, 0.0728, 0.0482, 0.0378, 0.0785, 0.0695, 0.0865, 0.0539, 0.0544, 0.0582, 0.0487, 0.0738, 0.0884, 0.0827, 0.0884, 0.0738, 0.0667, 0.0809, 0.0809, 0.0634, 0.0463, 0.0123, -0.0005, -0.0005, 0.0043, -0.0572, -0.1149, -0.1305, -0.1608, -0.0667, -0.0993, -0.0752, -0.0662, -0.0681, -0.0879, -0.0827, -0.0827, -0.1007, -0.0785, -0.0548, -0.0208, -0.0184, -0.0151, -0.0104, -0.0189, -0.0203, 0.0071, 0.0057, 0.0, -0.0071, 0.0071, 0.0175, 0.0624, 0.0733, 0.0752, 0.0681, 0.0733, 0.0667, 0.0657, 0.052, 0.0454, 0.0374, 0.0374, 0.0558, 0.0482, 0.0548, 0.0383, 0.034, 0.0468, 0.0586, 0.0506, 0.0605, 0.0752, 0.0908, 0.0917, 0.0884, 0.0643, 0.0785, 0.0591, 0.0629, 0.0629, 0.052, 0.0652, 0.0922, 0.0936, 0.1116, 0.1112, 0.1097, 0.1116, 0.1335, 0.1464, 0.1464, 0.1173, 0.1393, 0.1474, 0.1588, 0.1516, 0.1607, 0.1574, 0.1521, 0.1774, 0.1814, 0.185, 0.1936, 0.2121, 0.2007, 0.1983, 0.1912, 0.1731, 0.1635, 0.1435, 0.1273, 0.1435, 0.1507, 0.1535, 0.1593, 0.1845, 0.2007, 0.225, 0.2312, 0.2159, 0.225, 0.224, 0.2155, 0.2045, 0.2016, 0.245, 0.2402, 0.2464, 0.2428, 0.2498, 0.2385, 0.2385, 0.2174, 0.2133, 0.2193, 0.2355, 0.2517, 0.2478, 0.2326, 0.2588, 0.2545, 0.2788, 0.2929, 0.3083, 0.3326, 0.3321, 0.3502, 0.336, 0.3264, 0.3293, 0.3312, 0.335, 0.3469, 0.3703, 0.3869, 0.3979, 0.4079, 0.3831, 0.396, 0.3836, 0.3136, 0.3804, 0.3803, 0.3976, 0.3874, 0.3769, 0.3977, 0.3888, 0.3656, 0.3925, 0.4275, 0.4424, 0.4435, 0.4626]}