{"unit_id": "orig:1935557665595469876", "ticker_idx": 0, "ts": "2025-06-19T04:38:03+00:00", "symbol": "V", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "there is still a long way to go before stablecoins start hurting their bottom line", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Stablecoin legislation selloff overblown; stablecoins are far from hurting Visa/Mastercard earnings, implying both are oversold.", "resolved_tickers": ["V"], "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": "original", "lang": "en", "tweet_text": "Visa is now down 5% and Mastercard 8% last week, due to the U.S. Senate passing stablecoin legislation.  \n\nimo, there is still a long way to go before stablecoins start hurting their bottom line. https://t.co/Q7nZGkDfQK", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.005345988913920685, "ret_signed_m1d": 0.005345988913920685, "alpha_spy_m1d": 0.002991882503949661, "alpha_c_m1d": 0.008126058308750572, "bench_spy_m1d": 0.002354106409971024, "bench_c_m1d": -0.002780069394829887, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.015299639748756144, "ret_signed_p1d": 0.015299639748756144, "alpha_spy_p1d": 0.005422257851533274, "alpha_c_p1d": 0.002706929602155128, "bench_spy_p1d": 0.00987738189722287, "bench_c_p1d": 0.012592710146601016, "ret_p1w": 0.029653999275754517, "ret_signed_p1w": 0.029653999275754517, "alpha_spy_p1w": -0.005060295591494013, "alpha_c_p1w": -0.005254678412492497, "bench_spy_p1w": 0.03471429486724853, "bench_c_p1w": 0.034908677688247014, "ret_p1m": 0.036535966345298654, "ret_signed_p1m": 0.036535966345298654, "alpha_spy_p1m": -0.021500596759031376, "alpha_c_p1m": -0.007338988963022874, "bench_spy_p1m": 0.05803656310433003, "bench_c_p1m": 0.04387495530832153, "ret_p3m": 0.02433508326006395, "ret_signed_p3m": 0.02433508326006395, "alpha_spy_p3m": -0.08487260884233994, "alpha_c_p3m": -0.05321331497165849, "bench_spy_p3m": 0.10920769210240389, "bench_c_p3m": 0.07754839823172244, "ret_p6m": 0.028409736140992736, "ret_signed_p6m": 0.028409736140992736, "alpha_spy_p6m": -0.12023604000332155, "alpha_c_p6m": -0.07087742001095965, "bench_spy_p6m": 0.1486457761443143, "bench_c_p6m": 0.09928715615195238, "ret_p1y": -0.05021095965429545, "ret_signed_p1y": -0.05021095965429545, "alpha_spy_p1y": -0.30217604660514197, "alpha_c_p1y": -0.11122274220234174, "bench_spy_p1y": 0.2519650869508465, "bench_c_p1y": 0.06101178254804629, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.036535966345298654, "alpha_spy_stated": -0.021500596759031376, "alpha_c_stated": -0.007338988963022874, "price_path": [0.0162, 0.0149, 0.0316, 0.011, 0.0334, 0.0213, 0.0212, 0.0008, -0.0767, -0.0791, -0.091, -0.0198, -0.0428, -0.0169, -0.0117, -0.0098, -0.023, -0.0281, -0.0281, -0.0561, -0.0228, -0.014, -0.0101, -0.0117, -0.0048, 0.007, 0.0188, 0.0098, 0.025, 0.028, 0.0253, 0.0316, 0.0358, 0.0395, 0.0493, 0.0519, 0.0528, 0.0701, 0.0784, 0.0866, 0.0835, 0.0583, 0.0573, 0.0442, 0.0442, 0.0612, 0.0625, 0.0704, 0.0786, 0.079, 0.0806, 0.0869, 0.0833, 0.0935, 0.083, 0.0949, 0.1026, 0.097, 0.0422, 0.0499, 0.0569, 0.0053, 0.0053, 0.0, 0.0153, 0.0386, 0.0198, 0.022, 0.0297, 0.0487, 0.0499, 0.0462, 0.0599, 0.0599, 0.0534, 0.0472, 0.0567, 0.0511, 0.0276, 0.0352, 0.025, 0.0335, 0.0332, 0.031, 0.0365, 0.0393, 0.0494, 0.0455, 0.0546, 0.0499, 0.0376, 0.0364, 0.0204, 0.0023, 0.0106, -0.0034, 0.0035, -0.0191, -0.0053, -0.0079, -0.0037, 0.0135, 0.0222, 0.0192, 0.0141, 0.0132, 0.0176, 0.0169, 0.0357, 0.0321, 0.0391, 0.0366, 0.0352, 0.0408, 0.0408, 0.0358, 0.0382, 0.0385, 0.0155, 0.0128, 0.0178, 0.0004, 0.0163, 0.0043, 0.0032, 0.0061, 0.0243, 0.0006, 0.0108, 0.0189, 0.0021, 0.0021, -0.009, -0.0018, 0.0065, 0.0101, 0.0292, 0.0236, 0.0351, 0.0334, 0.0427, 0.0396, 0.0268, 0.0168, 0.0158, 0.0308, 0.0228, -0.0076, 0.0116, 0.019, 0.0273, 0.0218, 0.0236, 0.0278, 0.0291, 0.0264, 0.0098, 0.0209, 0.0082, -0.0032, 0.0069, 0.0061, -0.003, -0.0058, -0.0092, 0.0028, 0.0047, -0.0036, -0.0216, -0.0343, -0.0478, -0.0391, -0.0401, -0.0277, -0.0237, -0.0082, -0.0104, -0.0104, -0.0085, -0.0205, -0.0228, -0.0228, -0.0303, -0.018, -0.031, -0.032, -0.0343, 0.0247, 0.0312, 0.0284]}
{"unit_id": "orig:1935557665595469876", "ticker_idx": 1, "ts": "2025-06-19T04:38:03+00:00", "symbol": "MA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "there is still a long way to go before stablecoins start hurting their bottom line", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Stablecoin legislation selloff overblown; stablecoins are far from hurting Visa/Mastercard earnings, implying both are oversold.", "resolved_tickers": ["MA"], "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": "original", "lang": "en", "tweet_text": "Visa is now down 5% and Mastercard 8% last week, due to the U.S. Senate passing stablecoin legislation.  \n\nimo, there is still a long way to go before stablecoins start hurting their bottom line. https://t.co/Q7nZGkDfQK", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.010807516222678615, "ret_signed_m1d": 0.010807516222678615, "alpha_spy_m1d": 0.00845340981270759, "alpha_c_m1d": 0.013587585617508502, "bench_spy_m1d": 0.002354106409971024, "bench_c_m1d": -0.002780069394829887, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.017599436371999566, "ret_signed_p1d": 0.017599436371999566, "alpha_spy_p1d": 0.007722054474776696, "alpha_c_p1d": 0.00500672622539855, "bench_spy_p1d": 0.00987738189722287, "bench_c_p1d": 0.012592710146601016, "ret_p1w": 0.032553525825596674, "ret_signed_p1w": 0.032553525825596674, "alpha_spy_p1w": -0.0021607690416518555, "alpha_c_p1w": -0.00235515186265034, "bench_spy_p1w": 0.03471429486724853, "bench_c_p1w": 0.034908677688247014, "ret_p1m": 0.04208594428482848, "ret_signed_p1m": 0.04208594428482848, "alpha_spy_p1m": -0.01595061881950155, "alpha_c_p1m": -0.0017890110234930479, "bench_spy_p1m": 0.05803656310433003, "bench_c_p1m": 0.04387495530832153, "ret_p3m": 0.12471628815573688, "ret_signed_p3m": 0.12471628815573688, "alpha_spy_p3m": 0.01550859605333299, "alpha_c_p3m": 0.04716788992401444, "bench_spy_p3m": 0.10920769210240389, "bench_c_p3m": 0.07754839823172244, "ret_p6m": 0.07070289807408292, "ret_signed_p6m": 0.07070289807408292, "alpha_spy_p6m": -0.07794287807023137, "alpha_c_p6m": -0.028584258077869462, "bench_spy_p6m": 0.1486457761443143, "bench_c_p6m": 0.09928715615195238, "ret_p1y": -0.08177985631218321, "ret_signed_p1y": -0.08177985631218321, "alpha_spy_p1y": -0.3337449432630297, "alpha_c_p1y": -0.1427916388602295, "bench_spy_p1y": 0.2519650869508465, "bench_c_p1y": 0.06101178254804629, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.04208594428482848, "alpha_spy_stated": -0.01595061881950155, "alpha_c_stated": -0.0017890110234930479, "price_path": [0.0213, 0.0286, 0.0445, 0.0127, 0.0268, 0.0275, 0.0254, -0.0061, -0.0825, -0.0905, -0.101, -0.0329, -0.0631, -0.0436, -0.0385, -0.0293, -0.0367, -0.0293, -0.0293, -0.0444, -0.0106, -0.0056, 0.0047, 0.001, 0.0029, 0.0126, 0.0283, 0.0256, 0.0496, 0.0528, 0.0488, 0.0626, 0.0641, 0.0669, 0.085, 0.0818, 0.0756, 0.0924, 0.0944, 0.1003, 0.0903, 0.0686, 0.0697, 0.0574, 0.0574, 0.078, 0.0806, 0.0841, 0.0987, 0.0905, 0.0919, 0.096, 0.0984, 0.1072, 0.0964, 0.1061, 0.1084, 0.1057, 0.0545, 0.067, 0.0684, 0.0108, 0.0108, 0.0, 0.0176, 0.0461, 0.0314, 0.0241, 0.0326, 0.0544, 0.0594, 0.0536, 0.0681, 0.0681, 0.0603, 0.0553, 0.0617, 0.0588, 0.0337, 0.039, 0.034, 0.0437, 0.0439, 0.0383, 0.0421, 0.0498, 0.0561, 0.0587, 0.0676, 0.0677, 0.0584, 0.0505, 0.0643, 0.0519, 0.0706, 0.0635, 0.0693, 0.0544, 0.079, 0.0777, 0.0788, 0.0858, 0.0968, 0.0929, 0.0975, 0.1001, 0.1135, 0.1121, 0.1253, 0.1145, 0.1115, 0.1097, 0.1094, 0.1184, 0.1184, 0.112, 0.1147, 0.1191, 0.0976, 0.1021, 0.0972, 0.0885, 0.1061, 0.0905, 0.0953, 0.1018, 0.1247, 0.1011, 0.0975, 0.0981, 0.0709, 0.0687, 0.0659, 0.0618, 0.0674, 0.0687, 0.078, 0.0847, 0.0906, 0.0875, 0.0894, 0.083, 0.0621, 0.0488, 0.0521, 0.0684, 0.0588, 0.0345, 0.0554, 0.0655, 0.0762, 0.0749, 0.0794, 0.0792, 0.0768, 0.0647, 0.0433, 0.0416, 0.0385, 0.0236, 0.0399, 0.0409, 0.0409, 0.0384, 0.0403, 0.0504, 0.0558, 0.0452, 0.0267, 0.01, -0.0075, -0.0022, -0.0069, 0.0167, 0.0119, 0.0281, 0.0252, 0.0252, 0.0357, 0.0234, 0.027, 0.0417, 0.0202, 0.0263, 0.0167, 0.0113, 0.0138, 0.0599, 0.076, 0.0707]}
{"unit_id": "orig:1941193992122794055", "ticker_idx": 0, "ts": "2025-07-04T17:54:48+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "I think $TSLA is a falling knife. Tesla's fundamentals aren't misunderstood. They're deteriorating in plain sight.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bearish TSLA: dismisses bull case; fundamentals deteriorating openly despite apparent discount.", "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": "I think $TSLA is a falling knife. Here’s why:\n\n1/ Tesla looks like it’s on sale:\n\n– $900B market cap\n– Real profits (rare for EVs)\n– 1st-mover advantage in autonomy, storage, charging\n– “The next Apple,” if you believe the bulls\n\nBut Tesla’s fundamentals aren’t misunderstood. They’re deteriorating in plain sight.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.07283800600218493, "ret_signed_m1d": -0.07283800600218493, "alpha_spy_m1d": -0.065330085266611, "alpha_c_m1d": -0.05997166138197052, "bench_spy_m1d": 0.007507920735573936, "bench_c_m1d": 0.01286634462021441, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.013165935514200422, "ret_signed_p1d": -0.013165935514200422, "alpha_spy_p1d": -0.01371367080921293, "alpha_c_p1d": -0.016554161411604706, "bench_spy_p1d": -0.0005477352950125081, "bench_c_p1d": -0.0033882258974042845, "ret_p1w": 0.07811114943313968, "ret_signed_p1w": -0.07811114943313968, "alpha_spy_p1w": -0.07145719465306799, "alpha_c_p1w": -0.06048289770405102, "bench_spy_p1w": 0.006653954780071691, "bench_c_p1w": 0.017628251729088662, "ret_p1m": 0.05028236598127922, "ret_signed_p1m": -0.05028236598127922, "alpha_spy_p1m": -0.038537227045025046, "alpha_c_p1m": -0.04794710792178036, "bench_spy_p1m": 0.011745138936254174, "bench_c_p1m": 0.002335258059498857, "ret_p3m": 0.483295898410125, "ret_signed_p3m": -0.483295898410125, "alpha_spy_p3m": -0.4021022192495789, "alpha_c_p3m": -0.38520858227552446, "bench_spy_p3m": 0.0811936791605461, "bench_c_p3m": 0.09808731613460053, "ret_p6m": 0.5299720945955626, "ret_signed_p6m": -0.5299720945955626, "alpha_spy_p6m": -0.4250046753504768, "alpha_c_p6m": -0.4323742624067406, "bench_spy_p6m": 0.10496741924508579, "bench_c_p6m": 0.09759783218882201, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.05028236598127922, "alpha_spy_stated": -0.038537227045025046, "alpha_c_stated": -0.04794710792178036, "price_path": [-0.074, -0.1413, -0.1416, -0.1415, -0.1355, -0.1782, -0.1788, -0.1788, -0.226, -0.1904, -0.147, -0.1171, -0.0306, -0.0274, -0.0065, -0.0401, -0.0457, -0.0229, -0.0465, -0.0632, -0.0603, -0.031, 0.0147, 0.0831, 0.1365, 0.1828, 0.1663, 0.1907, 0.1638, 0.1697, 0.1384, 0.1602, 0.1545, 0.1545, 0.2346, 0.2142, 0.2194, 0.1787, 0.1659, 0.1712, 0.1297, -0.0314, 0.0041, 0.0498, 0.1094, 0.1105, 0.0856, 0.1067, 0.1197, 0.0762, 0.0956, 0.0956, 0.096, 0.1862, 0.1583, 0.1143, 0.1083, 0.101, 0.0807, 0.023, 0.0739, 0.0728, 0.0728, 0.0, 0.0132, 0.0066, 0.0542, 0.0666, 0.0781, 0.0573, 0.0943, 0.0867, 0.1215, 0.1175, 0.1299, 0.1314, 0.0386, 0.0753, 0.1077, 0.0927, 0.0854, 0.0488, 0.0296, 0.0521, 0.0503, 0.0884, 0.0964, 0.1215, 0.1534, 0.1596, 0.1546, 0.1417, 0.1246, 0.1402, 0.1203, 0.1019, 0.089, 0.1567, 0.1792, 0.1964, 0.1894, 0.177, 0.1358, 0.1358, 0.1205, 0.1366, 0.1517, 0.1936, 0.1785, 0.1804, 0.1832, 0.2547, 0.347, 0.395, 0.4344, 0.4488, 0.4181, 0.4495, 0.4772, 0.4488, 0.5064, 0.4404, 0.4983, 0.5078, 0.513, 0.5631, 0.4833, 0.4623, 0.542, 0.4734, 0.4924, 0.4817, 0.4067, 0.483, 0.4603, 0.4804, 0.4586, 0.4946, 0.5222, 0.5057, 0.4934, 0.5275, 0.4755, 0.5392, 0.5668, 0.5701, 0.4972, 0.5532, 0.5934, 0.5114, 0.572, 0.517, 0.4613, 0.5147, 0.4956, 0.4649, 0.3676, 0.3756, 0.3912, 0.3651, 0.3744, 0.3446, 0.3305, 0.4213, 0.4268, 0.4512, 0.4512, 0.4635, 0.4634, 0.4603, 0.5198, 0.5463, 0.5479, 0.4955, 0.5145, 0.5359, 0.5203, 0.5614, 0.617, 0.6666, 0.5896, 0.6445, 0.6371, 0.6627, 0.6519, 0.6514, 0.6166, 0.5637, 0.546, 0.53]}
{"unit_id": "orig:1943391775680270618", "ticker_idx": 0, "ts": "2025-07-10T19:28:00+00:00", "symbol": "GOOG", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Google's Gemini is almost never last in any list. This, combined with Google's already pretty big stronghold on the search and browser business means they have a significant advantage over the competition when it comes to AI and browsers", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish GOOG despite antitrust/AI competition fears; strong moats in search/browser, AI capability, 17x forward earnings seen as attractive after ~15% drop.", "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": "original", "lang": "en", "tweet_text": "How screwed is $GOOG really?\n\nPerplexity and OpenAI are both supposedly going to “challenge” Google’s search business, and that’s rattling investors everywhere.\n\nThis is interesting because Google’s total ad revenue in Q1 2025 was ~$67bn, and Search contributed for nearly 74% of that. \n\nAnd, according to the DOJ filings in the ongoing antitrust case, about 35 % of all Google search queries originate inside Chrome, driving “billions in Search revenue.”\n\nMeaning, three-quarters of every dollar Alphabet makes still flows through ads, most of which start in a browser tab. Every point of share that Chrome loses risks a direct dent in Alphabet’s main cash engine.\n\nBarclays estimates a 5-point loss of Chrome share could shave >$3 B off quarterly Search sales. That’s a big dent.\n\nHowever, It’s good to know that all the commotion so far is still - just commotion. For reference, Google has dominated the browser race since the introduction of chrome in 2008, with a ~68% global share. The next in line is Edge with a ~13% share.\n\nAdditionally: \"Historically, only ~20% of Google searches were monetizable. With Al-driven personalization and intent inference, this funnel is expanding.\" \n\nComing to the ~15% drop in $GOOG, Q1 saw double-digit top-line growth and a fat 34 % operating margin for Alphabet. Yet sentiment is ruled by forward risk, and the stock is now priced at ~17x forward earnings.\n\nThe public sentiment about who’s leading the AI race changes every other week, but Google’s Gemini is almost never last in any list. This, combined with Google’s already pretty big stronghold on the search and browser business means they have a significant advantage over the competition when it comes to AI and browsers. (it’s pretty well known that Google has implemented AI into chrome for a good while now)\n\nSearch(ads) and browsers are Google’s moats. Google knows this, and they haven’t stopped innovating.\n\nLooking ahead, the hard catalyst is the antitrust ruling for Chrome in August. Meanwhile, OpenAI’s browser is supposedly weeks away, and Perplexity’s ‘Comet’ is already in Public Beta.\n\nLet me know your thoughts in the comments below👇", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.005819692795028142, "ret_signed_m1d": -0.005819692795028142, "alpha_spy_m1d": -0.003007267676179759, "alpha_c_m1d": -0.009193648262580845, "bench_spy_m1d": -0.002812425118848383, "bench_c_m1d": 0.003373955467552703, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.014605406297825141, "ret_signed_p1d": 0.014605406297825141, "alpha_spy_p1d": 0.01812091304415464, "alpha_c_p1d": 0.021072033606504892, "bench_spy_p1d": -0.0035155067463294998, "bench_c_p1d": -0.006466627308679751, "ret_p1w": 0.033575796270847835, "ret_signed_p1w": 0.033575796270847835, "alpha_spy_p1w": 0.030028537451019188, "alpha_c_p1w": 0.033763173883509356, "bench_spy_p1w": 0.003547258819828647, "bench_c_p1w": -0.0001873776126615212, "ret_p1m": 0.13088973941970572, "ret_signed_p1m": 0.13088973941970572, "alpha_spy_p1m": 0.11273771009735611, "alpha_c_p1m": 0.12217363952687577, "bench_spy_p1m": 0.018152029322349605, "bench_c_p1m": 0.008716099892829954, "ret_p3m": 0.38416840099140814, "ret_signed_p3m": 0.38416840099140814, "alpha_spy_p3m": 0.3120150680590845, "alpha_c_p3m": 0.2926522482158085, "bench_spy_p3m": 0.07215333293232362, "bench_c_p3m": 0.09151615277559966, "ret_p6m": 0.7629353337781608, "ret_signed_p6m": 0.7629353337781608, "alpha_spy_p6m": 0.6511494965834663, "alpha_c_p6m": 0.6559027507806663, "bench_spy_p6m": 0.11178583719469448, "bench_c_p6m": 0.10703258299749452, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.13088973941970572, "alpha_spy_stated": 0.11273771009735611, "alpha_c_stated": 0.12217363952687577, "price_path": [-0.0975, -0.1131, -0.1309, -0.1428, -0.1428, -0.1624, -0.1398, -0.1185, -0.0975, -0.0842, -0.0922, -0.0942, -0.1007, -0.0901, -0.0732, -0.0719, -0.0767, -0.146, -0.1295, -0.1371, -0.1081, -0.1007, -0.0677, -0.0755, -0.0642, -0.0617, -0.076, -0.0495, -0.0388, -0.0521, -0.0521, -0.0276, -0.0309, -0.0333, -0.0339, -0.0478, -0.0626, -0.0532, -0.0509, -0.0223, -0.006, 0.0073, 0.0005, -0.0097, -0.0158, -0.0043, -0.0082, -0.0264, -0.0264, -0.0614, -0.071, -0.0613, -0.0403, -0.0239, -0.0024, -0.0073, -0.01, 0.0059, 0.0104, 0.0104, -0.0064, -0.0198, -0.0058, 0.0, 0.0146, 0.023, 0.0246, 0.0284, 0.0336, 0.0405, 0.0697, 0.075, 0.0717, 0.0811, 0.0861, 0.0824, 0.0992, 0.1049, 0.0792, 0.063, 0.0954, 0.093, 0.102, 0.104, 0.1309, 0.1283, 0.1425, 0.1361, 0.1406, 0.1467, 0.1432, 0.1331, 0.1203, 0.1227, 0.1568, 0.1705, 0.1637, 0.1651, 0.1884, 0.1949, 0.1949, 0.1863, 0.2932, 0.302, 0.316, 0.3115, 0.3439, 0.3418, 0.3486, 0.352, 0.4101, 0.4082, 0.3994, 0.4133, 0.4296, 0.4164, 0.4133, 0.3881, 0.381, 0.3844, 0.3687, 0.3641, 0.3753, 0.3802, 0.3804, 0.4087, 0.3842, 0.3748, 0.3566, 0.3302, 0.3702, 0.3789, 0.4098, 0.4108, 0.4215, 0.4396, 0.4077, 0.4144, 0.4211, 0.4591, 0.5119, 0.5035, 0.5412, 0.5789, 0.5785, 0.5913, 0.5574, 0.5949, 0.5982, 0.5666, 0.6276, 0.634, 0.6099, 0.5633, 0.5514, 0.5996, 0.5961, 0.641, 0.6242, 0.6783, 0.7837, 0.8127, 0.7939, 0.7939, 0.793, 0.765, 0.77, 0.7958, 0.7833, 0.804, 0.7624, 0.7809, 0.7991, 0.7582, 0.7403, 0.7336, 0.7247, 0.6705, 0.7024, 0.7296, 0.7449, 0.7693, 0.7692, 0.7652, 0.762, 0.7629, 0.7587, 0.7673, 0.7785, 0.7629]}
{"unit_id": "orig:1944766235465720150", "ticker_idx": 0, "ts": "2025-07-14T14:29:37+00:00", "symbol": "NVO", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Here is an interesting rebound setup", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish rebound setup on both NVO and LLY: duopoly controls 90%+ of GLP-1 market, supply constrained, $150B TAM in 5 years.", "resolved_tickers": ["NVO"], "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": "Drug Manufacturers - General", "unit_kind": "original", "lang": "en", "tweet_text": "Here is an interesting rebound setup:\n\n( $NVO) Novo Nordisk is down 50% due to competition from ( $LLY) Eli Lilly, and Eli Lilly is down 15% due to Novo Nordisk.\n\nBut combined, they control 90%+ of the GLP-1 market both globally and in the U.S.\n\nCurrently, neither of them can make enough medicine to satisfy the demand.\n\nFinally, just the GLP-1 market is expected to reach $150 billion in the next 5 years.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.0001451393291151959, "ret_signed_m1d": -0.0001451393291151959, "alpha_spy_m1d": 0.001759410552945484, "alpha_c_m1d": 0.001759410552945484, "bench_spy_m1d": -0.0019045498820606799, "bench_c_m1d": -0.0019045498820606799, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.02494923023947182, "ret_signed_p1d": -0.02494923023947182, "alpha_spy_p1d": -0.02067601805011554, "alpha_c_p1d": -0.02067601805011554, "bench_spy_p1d": -0.004273212189356279, "bench_c_p1d": -0.004273212189356279, "ret_p1w": -0.05831161077506952, "ret_signed_p1w": -0.05831161077506952, "alpha_spy_p1w": -0.06464957509243907, "alpha_c_p1w": -0.06464957509243907, "bench_spy_p1w": 0.006337964317369549, "bench_c_p1w": 0.006337964317369549, "ret_p1m": -0.277922904215932, "ret_signed_p1m": -0.277922904215932, "alpha_spy_p1m": -0.30653974646965965, "alpha_c_p1m": -0.30653974646965965, "bench_spy_p1m": 0.028616842253727626, "bench_c_p1m": 0.028616842253727626, "ret_p3m": -0.13923363185705018, "ret_signed_p3m": -0.13923363185705018, "alpha_spy_p3m": -0.21639432261120772, "alpha_c_p3m": -0.21639432261120772, "bench_spy_p3m": 0.07716069075415755, "bench_c_p3m": 0.07716069075415755, "ret_p6m": -0.15888985932042776, "ret_signed_p6m": -0.15888985932042776, "alpha_spy_p6m": -0.26877082174282796, "alpha_c_p6m": -0.26877082174282796, "bench_spy_p6m": 0.1098809624224002, "bench_c_p6m": 0.1098809624224002, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.277922904215932, "alpha_spy_stated": -0.30653974646965965, "alpha_c_stated": -0.30653974646965965, "price_path": [-0.0879, -0.1575, -0.1575, -0.1539, -0.131, -0.1108, -0.0915, -0.0995, -0.0917, -0.0548, -0.0361, -0.0484, 0.0042, 0.0026, -0.0384, -0.0202, -0.0593, -0.046, -0.0174, -0.0513, -0.0657, -0.0405, -0.0663, -0.0279, -0.0107, -0.0107, -0.0112, -0.0231, -0.0231, 0.0218, -0.0049, 0.0075, 0.0371, 0.0564, 0.0286, 0.045, 0.0538, 0.0825, 0.0946, 0.1507, 0.142, 0.1757, 0.158, 0.1172, 0.0783, 0.0735, 0.0735, 0.0701, 0.0113, 0.026, -0.0231, -0.018, -0.0062, 0.0012, 0.0128, 0.0128, 0.0033, 0.0033, 0.0055, 0.0102, 0.0109, 0.03, -0.0001, 0.0, -0.0249, -0.0276, -0.0529, -0.0672, -0.0583, -0.0313, 0.0158, 0.026, 0.04, 0.0009, -0.2176, -0.2743, -0.3172, -0.301, -0.292, -0.3151, -0.3417, -0.2927, -0.2591, -0.2766, -0.2779, -0.2617, -0.261, -0.2398, -0.2116, -0.1964, -0.2035, -0.1866, -0.1642, -0.1736, -0.1882, -0.1721, -0.1769, -0.1718, -0.1718, -0.173, -0.1677, -0.1765, -0.1898, -0.2038, -0.2035, -0.2025, -0.2035, -0.1951, -0.1841, -0.1609, -0.1463, -0.0927, -0.0993, -0.1095, -0.1266, -0.1384, -0.178, -0.1843, -0.1859, -0.186, -0.132, -0.1384, -0.1253, -0.125, -0.1342, -0.1256, -0.1392, -0.1649, -0.1565, -0.1689, -0.168, -0.1772, -0.2025, -0.1824, -0.1964, -0.217, -0.2192, -0.2231, -0.2242, -0.2365, -0.2465, -0.266, -0.2745, -0.2796, -0.2922, -0.2891, -0.3178, -0.3299, -0.3261, -0.279, -0.2627, -0.2789, -0.2921, -0.2891, -0.3025, -0.2812, -0.3018, -0.3013, -0.3403, -0.3097, -0.2855, -0.2855, -0.2761, -0.2896, -0.3043, -0.3022, -0.296, -0.298, -0.3139, -0.32, -0.2805, -0.2623, -0.2639, -0.2611, -0.2818, -0.2993, -0.3016, -0.2946, -0.2944, -0.2429, -0.229, -0.2314, -0.245, -0.2487, -0.2537, -0.2315, -0.1916, -0.1747, -0.1702, -0.1589]}
{"unit_id": "orig:1944766235465720150", "ticker_idx": 1, "ts": "2025-07-14T14:29:37+00:00", "symbol": "LLY", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Here is an interesting rebound setup", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish rebound setup on both NVO and LLY: duopoly controls 90%+ of GLP-1 market, supply constrained, $150B TAM in 5 years.", "resolved_tickers": ["LLY"], "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": "Drug Manufacturers - General", "unit_kind": "original", "lang": "en", "tweet_text": "Here is an interesting rebound setup:\n\n( $NVO) Novo Nordisk is down 50% due to competition from ( $LLY) Eli Lilly, and Eli Lilly is down 15% due to Novo Nordisk.\n\nBut combined, they control 90%+ of the GLP-1 market both globally and in the U.S.\n\nCurrently, neither of them can make enough medicine to satisfy the demand.\n\nFinally, just the GLP-1 market is expected to reach $150 billion in the next 5 years.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.007919016289341663, "ret_signed_m1d": -0.007919016289341663, "alpha_spy_m1d": -0.006014466407280983, "alpha_c_m1d": -0.006014466407280983, "bench_spy_m1d": -0.0019045498820606799, "bench_c_m1d": -0.0019045498820606799, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.03451595164803156, "ret_signed_p1d": -0.03451595164803156, "alpha_spy_p1d": -0.030242739458675283, "alpha_c_p1d": -0.030242739458675283, "bench_spy_p1d": -0.004273212189356279, "bench_c_p1d": -0.004273212189356279, "ret_p1w": -0.04648836743091356, "ret_signed_p1w": -0.04648836743091356, "alpha_spy_p1w": -0.052826331748283106, "alpha_c_p1w": -0.052826331748283106, "bench_spy_p1w": 0.006337964317369549, "bench_c_p1w": 0.006337964317369549, "ret_p1m": -0.20005255147241396, "ret_signed_p1m": -0.20005255147241396, "alpha_spy_p1m": -0.2286693937261416, "alpha_c_p1m": -0.2286693937261416, "bench_spy_p1m": 0.028616842253727626, "bench_c_p1m": 0.028616842253727626, "ret_p3m": 0.07242060432962916, "ret_signed_p3m": 0.07242060432962916, "alpha_spy_p3m": -0.004740086424528389, "alpha_c_p3m": -0.004740086424528389, "bench_spy_p3m": 0.07716069075415755, "bench_c_p3m": 0.07716069075415755, "ret_p6m": 0.3625875502224518, "ret_signed_p6m": 0.3625875502224518, "alpha_spy_p6m": 0.2527065878000516, "alpha_c_p6m": 0.2527065878000516, "bench_spy_p6m": 0.1098809624224002, "bench_c_p6m": 0.1098809624224002, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.20005255147241396, "alpha_spy_stated": -0.2286693937261416, "alpha_c_stated": -0.2286693937261416, "price_path": [-0.0825, 0.0487, 0.0487, 0.0213, 0.0332, 0.0355, 0.0733, 0.1043, 0.0953, 0.1051, 0.1223, -0.0086, 0.0283, 0.0256, -0.0323, -0.0303, -0.0618, -0.0829, -0.0567, -0.0686, -0.1066, -0.0845, -0.0525, -0.0553, -0.0655, -0.0931, -0.1053, -0.1071, -0.1071, -0.0927, -0.1, -0.096, -0.0772, -0.0653, -0.0608, -0.0419, -0.0421, -0.0369, -0.0321, 0.0098, 0.0116, 0.0159, 0.025, 0.0103, -0.0101, -0.0179, -0.0179, -0.0458, -0.0359, -0.0266, -0.0088, -0.0053, -0.0299, -0.0248, -0.0293, -0.0251, -0.0234, -0.0234, -0.0331, -0.0271, -0.0155, -0.0109, -0.0079, 0.0, -0.0345, -0.0119, -0.0473, -0.0346, -0.0465, -0.0286, -0.0006, 0.0076, 0.0167, 0.011, -0.0455, -0.0491, -0.0741, -0.0463, -0.038, -0.0418, -0.0663, -0.1983, -0.2173, -0.2053, -0.2001, -0.1737, -0.1438, -0.1208, -0.1248, -0.1183, -0.1155, -0.11, -0.1077, -0.1282, -0.0772, -0.0795, -0.0823, -0.0815, -0.0815, -0.0782, -0.0749, -0.0686, -0.0882, -0.0739, -0.0589, -0.0539, -0.0518, -0.0529, -0.0619, -0.0412, -0.047, -0.0435, -0.0572, -0.0535, -0.0635, -0.0699, -0.1041, -0.0916, -0.0891, -0.0434, 0.0349, 0.0279, 0.053, 0.0595, 0.0577, 0.0603, 0.0724, 0.045, 0.0273, 0.0185, 0.0363, 0.0273, 0.0066, 0.0143, 0.0025, 0.0186, 0.0294, 0.0349, 0.0361, 0.0282, 0.02, 0.0588, 0.0818, 0.1241, 0.137, 0.1608, 0.1753, 0.159, 0.212, 0.2395, 0.2761, 0.2825, 0.2874, 0.2829, 0.2934, 0.3179, 0.31, 0.3306, 0.3437, 0.3937, 0.3866, 0.3866, 0.3504, 0.3283, 0.3135, 0.2978, 0.2738, 0.2686, 0.2526, 0.2333, 0.2476, 0.2674, 0.2902, 0.3337, 0.3238, 0.3081, 0.327, 0.3453, 0.3517, 0.3456, 0.3523, 0.3532, 0.3545, 0.3558, 0.3494, 0.3565, 0.3077, 0.336, 0.3913, 0.3626]}
{"unit_id": "reply:1944996055541801471", "ticker_idx": 0, "ts": "2025-07-15T05:42:50+00:00", "symbol": "AMD", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "I feel their performance as a whole will become apparent in the earnings when they release the sales of their new Instinct MI350 series GPUs. If it holds up the performance in the real world, it will take away a huge chunk of revenue from Nvidia.", "tweet_type": "prediction", "timeline": "quarters", "summary": "Bullish AMD into upcoming earnings on MI350 GPU cycle; rejects overrated label, sees significant Nvidia revenue displacement ahead.", "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": "reply_other", "lang": "en", "tweet_text": "Calling $AMD overrated just because they're competing with Nvidia doesn't seem correct. \n\nI feel their performance as a whole will become apparent in the earnings when they release the sales of their new Instinct MI350 series GPUs. \n\nFor reference, AMD claims these chips have 60% more memory than Nvidia chips, and can create 40% more generated tokens for every dollar spent.\n\nIf it holds up the performance in the real world, it will take away a huge chunk of revenue from Nvidia.", "reply_text": null, "parent_text": "These are IMO most overrated stocks in the market:\n\n- $PLTR, looks like the company is growing in this AI bull market, but its not growing even close enough to justify its valuation.. its also highly reliable on donatios of the gov. Once we are out of the bull market this had", "quoted_text": null, "parent_author": "DeepIceValue", "ret_m1d": -0.06021460754730046, "ret_signed_m1d": -0.06021460754730046, "alpha_spy_m1d": -0.06450615844426077, "alpha_c_m1d": -0.04137010660323848, "bench_spy_m1d": 0.004291550896960317, "bench_c_m1d": -0.01884450094406198, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.028725668036568175, "ret_signed_p1d": 0.028725668036568175, "alpha_spy_p1d": 0.02538239465202974, "alpha_c_p1d": 0.03395264294523581, "bench_spy_p1d": 0.0033432733845384366, "bench_c_p1d": -0.0052269749086676365, "ret_p1w": -0.005719422827309195, "ret_signed_p1w": -0.005719422827309195, "alpha_spy_p1w": -0.016520759977955546, "alpha_c_p1w": 0.012953172088398968, "bench_spy_p1w": 0.01080133715064635, "bench_c_p1w": -0.018672594915708163, "ret_p1m": 0.18514232662162988, "ret_signed_p1m": 0.18514232662162988, "alpha_spy_p1m": 0.14857501979820786, "alpha_c_p1m": 0.14910374892978995, "bench_spy_p1m": 0.03656730682342202, "bench_c_p1m": 0.036038577691839935, "ret_p3m": 0.38101659953459754, "ret_signed_p3m": 0.38101659953459754, "alpha_spy_p3m": 0.3284715109723222, "alpha_c_p3m": 0.26224079783983356, "bench_spy_p3m": 0.052545088562275355, "bench_c_p3m": 0.11877580169476398, "ret_p6m": 0.30563586769518936, "ret_signed_p6m": 0.30563586769518936, "alpha_spy_p6m": 0.18362022647261367, "alpha_c_p6m": -0.03697453113521809, "bench_spy_p6m": 0.12201564122257569, "bench_c_p6m": 0.34261039883040745, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 63, "stated_label": "p3m", "ret_signed_stated": 0.38101659953459754, "alpha_spy_stated": 0.3284715109723222, "alpha_c_stated": 0.26224079783983356, "price_path": [-0.4377, -0.4377, -0.4502, -0.4457, -0.4191, -0.3929, -0.3789, -0.3806, -0.3827, -0.3744, -0.3789, -0.3651, -0.3536, -0.3662, -0.3551, -0.3464, -0.3391, -0.3052, -0.2773, -0.2435, -0.261, -0.247, -0.2626, -0.2705, -0.2799, -0.2885, -0.2911, -0.2911, -0.2638, -0.2747, -0.2736, -0.2884, -0.2634, -0.2461, -0.238, -0.2565, -0.2533, -0.2177, -0.208, -0.2215, -0.2385, -0.2535, -0.1878, -0.1832, -0.1852, -0.1852, -0.1759, -0.1673, -0.1104, -0.0785, -0.0767, -0.0758, -0.0881, -0.1253, -0.1098, -0.1137, -0.1137, -0.1337, -0.1143, -0.1105, -0.0736, -0.0591, -0.0602, 0.0, 0.0287, 0.0308, 0.0089, 0.0089, -0.0057, 0.0195, 0.0418, 0.0698, 0.116, 0.1403, 0.1536, 0.133, 0.1034, 0.136, 0.1202, 0.0483, 0.1079, 0.1102, 0.1071, 0.1243, 0.1851, 0.1628, 0.1407, 0.1319, 0.0703, 0.0616, 0.0521, 0.0781, 0.0498, 0.0708, 0.074, 0.0833, 0.0451, 0.0451, 0.0431, 0.0419, 0.0397, -0.0287, -0.027, 0.0013, 0.0253, 0.0004, 0.019, 0.0357, 0.0312, 0.0228, 0.0148, 0.0114, 0.0269, 0.034, 0.0339, 0.0364, 0.0247, 0.037, 0.0397, 0.054, 0.0907, 0.0582, 0.3091, 0.3592, 0.5138, 0.4966, 0.381, 0.3908, 0.4015, 0.5333, 0.5074, 0.4978, 0.5459, 0.5297, 0.4795, 0.5101, 0.6253, 0.6687, 0.6581, 0.6987, 0.6377, 0.6459, 0.6686, 0.6069, 0.6473, 0.5275, 0.5008, 0.5679, 0.5264, 0.6637, 0.5935, 0.5861, 0.5457, 0.4799, 0.4366, 0.324, 0.3096, 0.382, 0.3247, 0.3768, 0.3768, 0.3979, 0.4122, 0.3832, 0.3984, 0.388, 0.4007, 0.4209, 0.4242, 0.4229, 0.423, 0.3545, 0.334, 0.3442, 0.2731, 0.2921, 0.3716, 0.3813, 0.381, 0.3819, 0.3816, 0.3856, 0.3838, 0.3763, 0.4361, 0.4207, 0.3775, 0.3497, 0.3153, 0.3056]}
{"unit_id": "orig:1945524328893649000", "ticker_idx": 0, "ts": "2025-07-16T16:42:00+00:00", "symbol": "AMD", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Wells Fargo has raised $AMD target price to $210", "tweet_type": "news_reaction", "timeline": "unspecified", "summary": "Shares Wells Fargo's raised PT of $210 on AMD, currently at $155, boosted by potential MI308 China shipment restart.", "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": "original", "lang": "en", "tweet_text": "Wells Fargo has raised $AMD target price to $210.\n\nIt’s currently trading at $155!\n\nThis comes after AMD could restart its shipments of MI308 chips to China\n\n$AMD is the second biggest winner in my portfolio, up 15.44% since my analysis\n\n[tracker link in comments] https://t.co/wADIw8gi1J", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.02792354553706633, "ret_signed_m1d": -0.02792354553706633, "alpha_spy_m1d": -0.024591412384610378, "alpha_c_m1d": -0.03317798527037907, "bench_spy_m1d": -0.0033321331524559517, "bench_c_m1d": 0.0052544397333127435, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0020614806801599883, "ret_signed_p1d": 0.0020614806801599883, "alpha_spy_p1d": -0.004058156592356754, "alpha_c_p1d": -0.006338659726071949, "bench_spy_p1d": 0.0061196372725167425, "bench_c_p1d": 0.008400140406231937, "ret_p1w": -0.008933082947359727, "ret_signed_p1w": -0.008933082947359727, "alpha_spy_p1w": -0.024937208247825193, "alpha_c_p1w": 0.000296711407458905, "bench_spy_p1w": 0.016004125300465466, "bench_c_p1w": -0.009229794354818632, "ret_p1m": 0.13037228184950478, "ret_signed_p1m": 0.13037228184950478, "alpha_spy_p1m": 0.09716286175436428, "alpha_c_p1m": 0.08667756190903675, "bench_spy_p1m": 0.033209420095140496, "bench_c_p1m": 0.04369471994046803, "ret_p3m": 0.35194899858478745, "ret_signed_p3m": 0.35194899858478745, "alpha_spy_p3m": 0.28681456942897343, "alpha_c_p3m": 0.17748134487684286, "bench_spy_p3m": 0.06513442915581402, "bench_c_p3m": 0.1744676537079446, "ret_p6m": 0.2974137935143093, "ret_signed_p6m": 0.2974137935143093, "alpha_spy_p6m": 0.17738067880371, "alpha_c_p6m": -0.057244644621919694, "bench_spy_p6m": 0.1200331147105993, "bench_c_p6m": 0.354658438136229, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.13037228184950478, "alpha_spy_stated": 0.09716286175436428, "alpha_c_stated": 0.08667756190903675, "price_path": [-0.4534, -0.4655, -0.4611, -0.4353, -0.4099, -0.3962, -0.3979, -0.3999, -0.3919, -0.3962, -0.3828, -0.3716, -0.3839, -0.3731, -0.3647, -0.3576, -0.3246, -0.2975, -0.2646, -0.2817, -0.2681, -0.2832, -0.2909, -0.3, -0.3084, -0.3109, -0.3109, -0.2844, -0.295, -0.2939, -0.3083, -0.2839, -0.2672, -0.2592, -0.2773, -0.2742, -0.2396, -0.2301, -0.2433, -0.2597, -0.2744, -0.2105, -0.206, -0.208, -0.208, -0.1989, -0.1905, -0.1352, -0.1042, -0.1024, -0.1016, -0.1136, -0.1497, -0.1347, -0.1385, -0.1385, -0.1579, -0.1391, -0.1354, -0.0995, -0.0853, -0.0865, -0.0279, 0.0, 0.0021, -0.0193, -0.0192, -0.0335, -0.0089, 0.0127, 0.0399, 0.0848, 0.1084, 0.1214, 0.1014, 0.0726, 0.1043, 0.0889, 0.019, 0.077, 0.0792, 0.0762, 0.0929, 0.152, 0.1304, 0.1089, 0.1003, 0.0404, 0.032, 0.0227, 0.048, 0.0205, 0.0409, 0.044, 0.0531, 0.0159, 0.0159, 0.014, 0.0128, 0.0107, -0.0558, -0.0542, -0.0266, -0.0034, -0.0275, -0.0094, 0.0067, 0.0024, -0.0057, -0.0135, -0.0168, -0.0018, 0.0051, 0.005, 0.0074, -0.0039, 0.008, 0.0107, 0.0246, 0.0603, 0.0287, 0.2726, 0.3213, 0.4715, 0.4548, 0.3425, 0.3519, 0.3624, 0.4905, 0.4653, 0.456, 0.5027, 0.4869, 0.4382, 0.468, 0.58, 0.6221, 0.6118, 0.6512, 0.592, 0.5999, 0.622, 0.562, 0.6013, 0.4849, 0.4589, 0.5241, 0.4838, 0.6173, 0.549, 0.5418, 0.5025, 0.4386, 0.3965, 0.287, 0.273, 0.3434, 0.2877, 0.3383, 0.3383, 0.3589, 0.3728, 0.3446, 0.3593, 0.3492, 0.3616, 0.3812, 0.3844, 0.3832, 0.3832, 0.3167, 0.2967, 0.3067, 0.2376, 0.256, 0.3333, 0.3428, 0.3425, 0.3433, 0.343, 0.3469, 0.3452, 0.3378, 0.396, 0.3811, 0.339, 0.312, 0.2786, 0.2692, 0.2974]}
{"unit_id": "reply:1945735237377700060", "ticker_idx": 0, "ts": "2025-07-17T06:40:05+00:00", "symbol": "ASML.AS", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "The trajectory of our computational advancement is concentrated in the hands of a provider with a 100% monopoly.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Endorses ASML's monopoly on EUV as indispensable to AI-era chip manufacturing; implicitly bullish.", "resolved_tickers": ["ASML.AS"], "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": "reply_other", "lang": "en", "tweet_text": "@MGStockTalk Without ASML's EUV technology, it would be impossible to manufacture the world’s most powerful silicon chips – the kinds powering the current AI boom.\n\nThe trajectory of our computational advancement is concentrated in the hands of a provider with a 100% monopoly.", "reply_text": null, "parent_text": "This morning I bought $ASML.\n\nI don't have a model, I don't have a fancy DCF, I don't have an earnings forecast or some price target.\n\nEarlier this year I read \"Focus: The ASML Way\" by Marc Hijink. My takeaway: $ASML has a monopoly on the world's most important technology, and if https://t.co/xNefgPIElA", "quoted_text": null, "parent_author": "MGStockTalk", "ret_m1d": -0.03752707245952247, "ret_signed_m1d": -0.03752707245952247, "alpha_spy_m1d": -0.031444657361148654, "alpha_c_m1d": -0.029196906615983398, "bench_spy_m1d": -0.006082415098373817, "bench_c_m1d": -0.008330165843539072, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.025684406064609422, "ret_signed_p1d": -0.025684406064609422, "alpha_spy_p1d": -0.024951973274456085, "alpha_c_p1d": -0.0208852130241739, "bench_spy_p1d": -0.0007324327901533367, "bench_c_p1d": -0.004799193040435523, "ret_p1w": -0.052753033407053174, "ret_signed_p1w": -0.052753033407053174, "alpha_spy_p1w": -0.06291158339057978, "alpha_c_p1w": -0.039349356964089255, "bench_spy_p1w": 0.01015854998352661, "bench_c_p1w": -0.013403676442963919, "ret_p1m": -0.01816585807667903, "ret_signed_p1m": -0.01816585807667903, "alpha_spy_p1m": -0.042686536627413174, "alpha_c_p1m": -0.03167248231052611, "bench_spy_p1m": 0.024520678550734143, "bench_c_p1m": 0.013506624233847075, "ret_p3m": 0.30551407181240453, "ret_signed_p3m": 0.30551407181240453, "alpha_spy_p3m": 0.24815153536640544, "alpha_c_p3m": 0.16225524217662146, "bench_spy_p3m": 0.05736253644599909, "bench_c_p3m": 0.14325882963578307, "ret_p6m": 0.7032842350642203, "ret_signed_p6m": 0.7032842350642203, "alpha_spy_p6m": 0.5922895188190398, "alpha_c_p6m": 0.3569186488841165, "bench_spy_p6m": 0.11099471624518054, "bench_c_p6m": 0.3463655861801038, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.01816585807667903, "alpha_spy_stated": -0.042686536627413174, "alpha_c_stated": -0.03167248231052611, "price_path": [-0.135, -0.1397, -0.1094, -0.0928, -0.0943, -0.101, -0.1003, -0.1041, -0.1041, -0.0635, -0.0667, -0.0749, -0.07, -0.0303, -0.036, 0.0257, 0.0515, 0.056, 0.0492, 0.028, 0.0188, 0.0151, 0.0223, 0.0102, -0.0117, 0.0058, 0.0245, 0.0163, 0.0235, 0.0057, -0.0062, 0.0045, 0.0034, 0.0135, 0.0268, 0.046, 0.0528, 0.0615, 0.0406, 0.0221, 0.0306, 0.0243, 0.0228, 0.0045, 0.0003, 0.0285, 0.0634, 0.0681, 0.0418, 0.0497, 0.0421, 0.0277, 0.0421, 0.0414, 0.0141, 0.0329, 0.0441, 0.0455, 0.0612, 0.0518, 0.0571, 0.086, -0.0375, 0.0, -0.0257, -0.0401, -0.0735, -0.0671, -0.0528, -0.0697, -0.0311, -0.0393, -0.0324, -0.0546, -0.0825, -0.0711, -0.0792, -0.0857, -0.0583, -0.0487, -0.0331, -0.0225, -0.0122, -0.0086, -0.0182, -0.0151, -0.0095, -0.0159, -0.0216, -0.0035, -0.0027, 0.0033, 0.0181, 0.009, -0.0183, -0.0191, -0.0482, -0.0357, -0.0014, 0.0181, 0.0434, 0.0535, 0.0489, 0.0579, 0.0637, 0.1248, 0.1302, 0.1365, 0.2244, 0.2239, 0.2503, 0.2642, 0.246, 0.2517, 0.2534, 0.273, 0.277, 0.2975, 0.3533, 0.3572, 0.3837, 0.349, 0.3135, 0.3104, 0.2551, 0.3015, 0.3055, 0.3462, 0.353, 0.3504, 0.3863, 0.3721, 0.3418, 0.3689, 0.3792, 0.4004, 0.4017, 0.4203, 0.4482, 0.4183, 0.4312, 0.4181, 0.4005, 0.383, 0.3452, 0.3698, 0.3701, 0.3776, 0.3617, 0.3503, 0.3539, 0.3372, 0.3696, 0.3746, 0.2884, 0.3267, 0.329, 0.4047, 0.386, 0.3956, 0.4316, 0.4507, 0.4882, 0.4788, 0.47, 0.4879, 0.472, 0.4614, 0.4535, 0.4294, 0.4382, 0.4036, 0.3501, 0.379, 0.3928, 0.3841, 0.3953, 0.3888, 0.3888, 0.4008, 0.4187, 0.4234, 0.5236, 0.627, 0.639, 0.6248, 0.5649, 0.6708, 0.6783, 0.7033]}
{"unit_id": "orig:1947500171509829942", "ticker_idx": 0, "ts": "2025-07-22T03:33:18+00:00", "symbol": "ASML.AS", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "This is the biggest market overreaction I can remember in a while - and probably the biggest buying opportunity... this is a good time to add to the position", "tweet_type": "analysis", "timeline": "years", "summary": "Strong buy on ASML after ~11.5% post-earnings drop; 2030 DCF implies $1,500/share (13.5% CAGR), market overreacted to short-term 2026 concerns while ignoring long-term growth.", "resolved_tickers": ["ASML.AS"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SMH", "bench_c_reason": "industry='Semiconductor Equipment & Materials'", "bench_c_industry": "Semiconductor Equipment & Materials", "unit_kind": "original", "lang": "en", "tweet_text": "$ASML has now dropped ~11.5% since its earnings! This is the biggest market overreaction I can remember in a while - and probably the biggest buying opportunity.\n\nASML rocked their earnings - coming in with a double beat. Even their most important metric (arguably) - Net Bookings, almost doubled since Q1.\n\nBut the market ignored all of this to focus on their short term concerns. ASML’s management were concerned about their growth in 2026, mainly due to the ongoing geopolitical tensions. \n\nThis is fair, because in the ongoing climate - you can’t really guarantee growth.\n\nBut everyone seemed to ignore their optimism for long-term growth:\n\nDoing a quick back-of-the-envelope valuation:\n\n• 2030 revenue of $60bn (management midpoint), keeping the net profit margin at 30% and share buyback at 1% (current buyback pace).\n\n• Assuming no valuation gain (exit PE of 30x), we will get a 2030 target price close to $1,500, which is a 13.5% CAGR, which leaves us with enough margin of safety.\n\nThese are pretty good results even on conservative estimates.\n\nGoing over the earnings and the investor call, it’s clear that the market has severely overreacted. \n\nIn my deep dive, I mentioned that you should open a small position and gradually increase it depending on the landscape of AI and the U.S.-China relations.\n\nThat still stands (and this is a good time to add to the position).\n\nThe AI industry is growing rapidly, with power and efficiency at its core. Companies like Nvidia and AMD are designing increasingly advanced chips than ever before.\n\nAt the same time, companies like Samsung and TSMC are handling the manufacturing side, meeting the growing demand for AI. \n\nBut there’s only one company making the tools to enable that — and they have zero competition.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.03602254292826035, "ret_signed_m1d": 0.03602254292826035, "alpha_spy_m1d": 0.036165619747166144, "alpha_c_m1d": 0.01801084629412686, "bench_spy_m1d": -0.00014307681890579627, "bench_c_m1d": 0.01801169663413349, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.006971999658477612, "ret_signed_p1d": 0.006971999658477612, "alpha_spy_p1d": -0.001535673792725678, "alpha_c_p1d": 0.002626793834575869, "bench_spy_p1d": 0.00850767345120329, "bench_c_p1d": 0.004345205823901743, "ret_p1w": 0.03693926089817934, "ret_signed_p1w": 0.03693926089817934, "alpha_spy_p1w": 0.02676196536407982, "alpha_c_p1w": 0.010552535648935546, "bench_spy_p1w": 0.010177295534099517, "bench_c_p1w": 0.026386725249243792, "ret_p1m": 0.06223867512193282, "ret_signed_p1m": 0.06223867512193282, "alpha_spy_p1m": 0.047529534201079526, "alpha_c_p1m": 0.04965853940424658, "bench_spy_p1m": 0.014709140920853292, "bench_c_p1m": 0.012580135717686236, "ret_p3m": 0.4575406180819761, "ret_signed_p3m": 0.4575406180819761, "alpha_spy_p3m": 0.3981124150699049, "alpha_c_p3m": 0.25618807541891186, "bench_spy_p3m": 0.05942820301207119, "bench_c_p3m": 0.20135254266306424, "ret_p6m": 0.9461503768797519, "ret_signed_p6m": 0.9461503768797519, "alpha_spy_p6m": 0.8399788397460182, "alpha_c_p6m": 0.5387289206640351, "bench_spy_p6m": 0.10617153713373373, "bench_c_p6m": 0.4074214562157168, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 252, "stated_label": "p1y", "ret_signed_stated": null, "alpha_spy_stated": null, "alpha_c_stated": null, "price_path": [-0.0208, -0.0224, -0.0297, -0.0289, -0.033, -0.033, 0.0108, 0.0073, -0.0015, 0.0038, 0.0466, 0.0405, 0.1071, 0.135, 0.1398, 0.1325, 0.1096, 0.0996, 0.0956, 0.1034, 0.0903, 0.0667, 0.0857, 0.1057, 0.0969, 0.1047, 0.0855, 0.0727, 0.0842, 0.083, 0.094, 0.1082, 0.129, 0.1363, 0.1458, 0.1232, 0.1033, 0.1124, 0.1056, 0.1039, 0.0842, 0.0797, 0.1101, 0.1477, 0.1529, 0.1245, 0.133, 0.1248, 0.1092, 0.1248, 0.124, 0.0946, 0.1149, 0.127, 0.1285, 0.1454, 0.1353, 0.1409, 0.1721, 0.0388, 0.0793, 0.0516, 0.036, 0.0, 0.007, 0.0224, 0.0041, 0.0458, 0.0369, 0.0444, 0.0205, -0.0097, 0.0027, -0.0062, -0.0132, 0.0165, 0.0268, 0.0436, 0.0551, 0.0662, 0.0701, 0.0597, 0.0631, 0.0691, 0.0622, 0.0561, 0.0756, 0.0764, 0.0829, 0.0989, 0.089, 0.0596, 0.0587, 0.0273, 0.0408, 0.0779, 0.0989, 0.1262, 0.1371, 0.1321, 0.1418, 0.1481, 0.214, 0.2199, 0.2267, 0.3216, 0.3211, 0.3495, 0.3645, 0.3449, 0.351, 0.3528, 0.374, 0.3783, 0.4005, 0.4607, 0.4649, 0.4935, 0.456, 0.4178, 0.4144, 0.3547, 0.4048, 0.4091, 0.453, 0.4604, 0.4575, 0.4963, 0.481, 0.4482, 0.4775, 0.4887, 0.5115, 0.513, 0.533, 0.5632, 0.5308, 0.5448, 0.5306, 0.5116, 0.4928, 0.4519, 0.4785, 0.4788, 0.487, 0.4698, 0.4574, 0.4613, 0.4433, 0.4783, 0.4836, 0.3906, 0.4319, 0.4344, 0.5161, 0.496, 0.5063, 0.5451, 0.5658, 0.6063, 0.5962, 0.5867, 0.606, 0.5888, 0.5773, 0.5688, 0.5428, 0.5523, 0.515, 0.4573, 0.4885, 0.5033, 0.494, 0.506, 0.499, 0.499, 0.512, 0.5313, 0.5363, 0.6445, 0.7561, 0.7691, 0.7537, 0.689, 0.8034, 0.8114, 0.8384, 0.8078, 0.9165, 0.9462]}
{"unit_id": "orig:1948062428438380934", "ticker_idx": 0, "ts": "2025-07-23T16:47:30+00:00", "symbol": "GOOGL", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "wherever it goes, Google will come out on top", "tweet_type": "analysis", "timeline": "years", "summary": "Bullish GOOGL: AI threat to search is overstated; Google's ad moat, ecosystem, and Gemini integration make it the long-term search winner.", "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": "original", "lang": "en", "tweet_text": "Search is $GOOGL Google’s biggest earner. They made $50Bn just from search in Q1 '25.\n\nBut recently, they’ve come under fire for losing the market share to Open AI and Perplexity.\n\nIf you still buy that, read this post. \n\nThe only speculation for Google’s earnings is their search business. The main argument against Google Search is the effect on revenue once AI is fully integrated, and widely adopted. \n\nWill manual search still prevail, when you could instead get a more immersive and direct search experience?\n\nThis is a layered discussion. \n\n1/ If the danger is that Chat GPT and other LLMs are gonna cannibalize Google Search - then it’s a non-issue. \n\nAs it stands, there’s several issues that need to be addressed before LLMs can even begin to seriously replace Google in search. Hallucinations, inability to handle high-intent commercial queries and the lack of a platform (like a browser, which Google dominates too) to name a few. \n\nEven beyond this, Google dominates the ads market in search. It has been for the most part since the existence of search and online ads. Over 55% of Google’s business is search. \n\nIf anyone can solve this problem, it’s probably Google with Gemini. Google already has a massive advertiser base, and offers tools like PPC infrastructure and ROI optimization. These are not just conveniences, they’re mini-moats. \n\nAdvertisers are more likely to continue partnering with Google even if the LLMs were to become the primary mode of search because of their existing relationship with Google search. \n\n2/ If the argument is that AI itself(even Google’s own AI) is going to destroy search, then it’s still not as big an issue as most would have you believe. \n\nIt's important to understand that AI opens more doors for Google Search than it closes. AI even expands Google’s monetizable search volume: \nAI can help Google increase its revenue through various innovations already underway - like the integration of Gemini in every single Google product from Chrome to Google Workspace. Nobody has the ecosystem and AI prowess combination that Google does. \n\nGemini is even being integrated into android phones, which are used by ~3 billion people online. Think asking your phone directly to help you out with your diet plan to then being served ads for gym equipment. AI is just another for Google, thanks to their deeply integrated ecosystem. \n\nIt’s still not 100% clear where the search industry is headed - it won’t be for a couple of years at least. 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{"unit_id": "orig:1948725672102216012", "ticker_idx": 0, "ts": "2025-07-25T12:43:00+00:00", "symbol": "AMD", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "The future is looking electric for $AMD and $ASML", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish AMD and ASML on U.S. data-center expansion and GPU supercluster buildout by xAI and Meta.", "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": "original", "lang": "en", "tweet_text": "The U.S. Currently Holds 44% of Global Data Center Power.\n\nThat's only gonna go up. \n\nBoth XAi and Meta have announced their plans for expansion of their GPU superclusters including AMD and Nvidia. \n\nThe future is looking electric for $AMD and $ASML https://t.co/NHQVESo4qp", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.026130870857317134, "ret_signed_m1d": -0.026130870857317134, "alpha_spy_m1d": -0.021924206215733655, "alpha_c_m1d": -0.027209215060697955, "bench_spy_m1d": -0.00420666464158348, "bench_c_m1d": 0.001078344203380821, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.04319097968812935, "ret_signed_p1d": 0.04319097968812935, "alpha_spy_p1d": 0.04344224239462191, "alpha_c_p1d": 0.029555627631693948, "bench_spy_p1d": -0.000251262706492561, "bench_c_p1d": 0.013635352056435401, "ret_p1w": 0.03141704624970365, "ret_signed_p1w": 0.03141704624970365, "alpha_spy_p1w": 0.055557832405574104, "alpha_c_p1w": 0.04373042306322683, "bench_spy_p1w": -0.024140786155870453, "bench_c_p1w": -0.01231337681352318, "ret_p1m": -0.0186820483423219, "ret_signed_p1m": -0.0186820483423219, "alpha_spy_p1m": -0.027110778847667993, "alpha_c_p1m": -0.04104818703525426, "bench_spy_p1m": 0.008428730505346094, "bench_c_p1m": 0.022366138692932358, "ret_p3m": 0.3830119182993459, "ret_signed_p3m": 0.3830119182993459, "alpha_spy_p3m": 0.3319188964671933, "alpha_c_p3m": 0.20523175059004206, "bench_spy_p3m": 0.051093021832152585, "bench_c_p3m": 0.17778016770930383, "ret_p6m": 0.5005706807232924, "ret_signed_p6m": 0.5005706807232924, "alpha_spy_p6m": 0.4185881346668576, "alpha_c_p6m": 0.09815438896234463, "bench_spy_p6m": 0.08198254605643474, "bench_c_p6m": 0.40241629176094773, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.0186820483423219, "alpha_spy_stated": -0.027110778847667993, "alpha_c_stated": -0.04104818703525426, "price_path": [-0.423, -0.4152, -0.4194, -0.4065, -0.3957, -0.4076, -0.3971, -0.3891, -0.3822, -0.3505, -0.3244, -0.2928, -0.3092, -0.2961, -0.3107, -0.3181, -0.3268, -0.335, -0.3374, -0.3374, -0.3118, -0.322, -0.321, -0.3348, -0.3114, -0.2953, -0.2877, -0.305, -0.302, -0.2688, -0.2597, -0.2723, -0.2882, -0.3022, -0.2408, -0.2365, -0.2384, -0.2384, -0.2297, -0.2216, -0.1684, -0.1386, -0.1369, -0.1361, -0.1476, -0.1824, -0.1679, -0.1716, -0.1716, -0.1902, -0.1721, -0.1686, -0.134, -0.1204, -0.1215, -0.0652, -0.0384, -0.0364, -0.0569, -0.0569, -0.0706, -0.047, -0.0261, 0.0, 0.0432, 0.0659, 0.0783, 0.0591, 0.0314, 0.0619, 0.0471, -0.0201, 0.0356, 0.0378, 0.0349, 0.0509, 0.1078, 0.087, 0.0663, 0.0581, 0.0005, -0.0076, -0.0166, 0.0077, -0.0187, 0.0009, 0.004, 0.0127, -0.0231, -0.0231, -0.0249, -0.0261, -0.0281, -0.0921, -0.0905, -0.064, -0.0416, -0.0649, -0.0475, -0.0319, -0.0361, -0.0439, -0.0514, -0.0545, -0.0401, -0.0335, -0.0336, -0.0312, -0.0421, -0.0307, -0.0281, -0.0148, 0.0196, -0.0108, 0.2237, 0.2706, 0.415, 0.399, 0.2909, 0.3001, 0.3101, 0.4333, 0.409, 0.4001, 0.4451, 0.4299, 0.383, 0.4116, 0.5193, 0.5599, 0.5499, 0.5879, 0.5308, 0.5385, 0.5597, 0.5021, 0.5398, 0.4279, 0.4029, 0.4656, 0.4268, 0.5552, 0.4895, 0.4826, 0.4448, 0.3834, 0.3429, 0.2376, 0.2241, 0.2918, 0.2382, 0.287, 0.287, 0.3067, 0.3201, 0.293, 0.3071, 0.2974, 0.3094, 0.3282, 0.3313, 0.3301, 0.3301, 0.2662, 0.247, 0.2565, 0.1901, 0.2078, 0.2821, 0.2912, 0.2909, 0.2918, 0.2915, 0.2952, 0.2936, 0.2865, 0.3424, 0.328, 0.2876, 0.2616, 0.2295, 0.2205, 0.2476, 0.3274, 0.3432, 0.3691, 0.3926, 0.3926, 0.3932, 0.5006]}
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{"unit_id": "orig:1949838607835083073", "ticker_idx": 0, "ts": "2025-07-28T14:25:25+00:00", "symbol": "ASML.AS", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "The biggest reason for weak guidance from $ASML just got negated. No more tariffs on semiconductor equipment in the new EU deal with the U.S.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish ASML: key headwind behind weak guidance (tariffs on semi equipment) removed by EU-US trade deal.", "resolved_tickers": ["ASML.AS"], "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": "original", "lang": "en", "tweet_text": "The biggest reason for weak guidance from $ASML just got negated.  \n\nNo more tariffs on semiconductor equipment in the new EU deal with the U.S. https://t.co/p1muDQBz6z", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.039790060410075934, "ret_signed_m1d": -0.039790060410075934, "alpha_spy_m1d": -0.040041386265383117, "alpha_c_m1d": -0.02633813015845987, "bench_spy_m1d": 0.0002513258553071829, "bench_c_m1d": -0.013451930251616062, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.008435554137953938, "ret_signed_p1d": -0.008435554137953938, "alpha_spy_p1d": -0.005798085967879341, "alpha_c_p1d": -0.013548533523104256, "bench_spy_p1d": -0.0026374681700745972, "bench_c_p1d": 0.005112979385150318, "ret_p1w": -0.04122235453098033, "ret_signed_p1w": -0.04122235453098033, "alpha_spy_p1w": -0.03216338480421632, "alpha_c_p1w": -0.03703580852020627, "bench_spy_p1w": -0.00905896972676401, "bench_c_p1w": -0.0041865460107740615, "ret_p1m": 0.035492494421367704, "ret_signed_p1m": 0.035492494421367704, "alpha_spy_p1m": 0.022586998949980508, "alpha_c_p1m": 0.017167833466673832, "bench_spy_p1m": 0.012905495471387196, "bench_c_p1m": 0.018324660954693872, "ret_p3m": 0.41286000111138055, "ret_signed_p3m": 0.41286000111138055, "alpha_spy_p3m": 0.3552683035069597, "alpha_c_p3m": 0.2296474276698166, "bench_spy_p3m": 0.057591697604420844, "bench_c_p3m": 0.18321257344156394, "ret_p6m": 0.8756585881931735, "ret_signed_p6m": 0.8756585881931735, "alpha_spy_p6m": 0.7877512179510462, "alpha_c_p6m": 0.4890438328901856, "bench_spy_p6m": 0.08790737024212736, "bench_c_p6m": 0.38661475530298794, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.035492494421367704, "alpha_spy_stated": 0.022586998949980508, "alpha_c_stated": 0.017167833466673832, "price_path": [-0.0753, -0.0753, -0.0334, -0.0368, -0.0452, -0.0401, 0.0008, -0.005, 0.0586, 0.0853, 0.0899, 0.0829, 0.061, 0.0515, 0.0477, 0.0551, 0.0426, 0.0201, 0.0382, 0.0574, 0.0489, 0.0564, 0.038, 0.0258, 0.0367, 0.0356, 0.0461, 0.0597, 0.0796, 0.0866, 0.0956, 0.074, 0.055, 0.0637, 0.0572, 0.0556, 0.0367, 0.0324, 0.0615, 0.0975, 0.1024, 0.0753, 0.0834, 0.0756, 0.0607, 0.0756, 0.0748, 0.0467, 0.0661, 0.0777, 0.0791, 0.0953, 0.0856, 0.091, 0.1209, -0.0066, 0.0321, 0.0056, -0.0093, -0.0438, -0.0371, -0.0223, -0.0398, 0.0, -0.0084, -0.0013, -0.0242, -0.053, -0.0412, -0.0497, -0.0563, -0.028, -0.0181, -0.0021, 0.0089, 0.0196, 0.0232, 0.0134, 0.0166, 0.0223, 0.0158, 0.0099, 0.0285, 0.0293, 0.0355, 0.0508, 0.0414, 0.0132, 0.0124, -0.0177, -0.0048, 0.0307, 0.0508, 0.0769, 0.0874, 0.0826, 0.0918, 0.0979, 0.1609, 0.1665, 0.173, 0.2637, 0.2633, 0.2905, 0.3048, 0.286, 0.2919, 0.2936, 0.3139, 0.318, 0.3392, 0.3968, 0.4008, 0.4281, 0.3923, 0.3557, 0.3525, 0.2954, 0.3433, 0.3474, 0.3895, 0.3965, 0.3938, 0.4308, 0.4162, 0.3848, 0.4129, 0.4235, 0.4453, 0.4468, 0.4659, 0.4948, 0.4638, 0.4772, 0.4637, 0.4455, 0.4275, 0.3884, 0.4138, 0.4141, 0.4219, 0.4055, 0.3937, 0.3973, 0.3801, 0.4136, 0.4187, 0.3297, 0.3693, 0.3717, 0.4498, 0.4305, 0.4404, 0.4775, 0.4973, 0.5361, 0.5263, 0.5172, 0.5357, 0.5193, 0.5083, 0.5002, 0.4753, 0.4844, 0.4487, 0.3935, 0.4233, 0.4375, 0.4286, 0.4401, 0.4334, 0.4334, 0.4458, 0.4643, 0.4691, 0.5726, 0.6792, 0.6917, 0.677, 0.6151, 0.7245, 0.7322, 0.758, 0.7287, 0.8326, 0.861, 0.7864, 0.8176, 0.8412, 0.8757]}
{"unit_id": "orig:1950134707665924181", "ticker_idx": 0, "ts": "2025-07-29T10:02:00+00:00", "symbol": "TSLA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Tesla is a falling knife. Tesla's autonomous driving isn't safe, let alone scalable. Tesla's fundamentals are all over the place, and so is their guidance.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bearish TSLA: robotaxi is PR not product, AV tech unsafe/unscalable, earnings missed across the board, margins down 35% YoY, guidance unreliable.", "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": "3 weeks ago, I  wrote about why $TSLA Tesla is a falling knife. \n\nLast week, after their earnings, it became clear why. And the stock is down 5% since.\nHowever, not all drawdowns are equal, and not every company that goes down can come back up:\n\nThe launch of robotaxi in Austin was more PR than a demo of autonomous driving.\n\nTesla’s  autonomous driving isn’t safe, let alone scalable. It still relies on only visual tech, which is bound to fail more than LiDAR - and yet, Tesla uses it. \n\nThe system, even after ‘years’ in development and promises, still runs red lights, veers into different lanes and requires frequent driver intervention. \n\nIt’s way off being truly autonomous, like Elon has been promising. \n\nAnd this didn’t fly well with investors. After all, years of resources, effort and promises only led to a system that is nowhere close to being finished, let alone competing with their competition.\n\nUnlike Waymo, which just logged 10 million unsupervised miles, Tesla is still stuck needing human intervention. \n\nMuch like Blackberry when Apple released their iPhone, Tesla has been disrupted in this segment. \n\nIt’s not just robotaxi, Tesla's entire business is underperforming. Here’s a snapshot of their earnings: \n\n• EPS (non-GAAP): $0.33 vs. $0.39 est \n• Revenue: $22.5 vs. $22.7B est \n• Net income (GAAP): $1.17 billion\n\nEven the margins fell 35% YoY.\nEven production has taken a hit. Tesla produced ~410,000 cars and delivered only 384,000, down 14% YoY.\n\nEven Elon warned about the possibility of the upcoming quarters being rough. Naturally, along came a new set of promises like: \n\n• Robotaxi would be ready and available to half of U.S. by the end of next year\n• A new sub $30,000 car will enter production soon \n• Optimus (robot) would be the next big thing \n\nTesla’s fundamentals are all over the place, and so is their guidance. Yet, the stock only dropped 8%(now 5%). 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{"unit_id": "orig:1950245591612833865", "ticker_idx": 1, "ts": "2025-07-29T17:22:37+00:00", "symbol": "LLY", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "there are only two companies that dominate the market. $NVO $LLY", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish on both NVO and LLY as the two dominant players in the GLP-1 market with massive revenue potential.", "resolved_tickers": ["LLY"], "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": "Drug Manufacturers - General", "unit_kind": "original", "lang": "en", "tweet_text": "GLP-1 drugs are set to generate nearly double the U.S. revenue of the iPhone’s first 10 years - and there are only two companies that dominate the market. $NVO $LLY\n\nI’m gonna tell you how you can build an optimal GLP-1 portfolio: https://t.co/LdvgThPupH", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.059191288817032284, "ret_signed_m1d": 0.059191288817032284, "alpha_spy_m1d": 0.05654684601323523, "alpha_c_m1d": 0.05654684601323523, "bench_spy_m1d": 0.0026444428037970535, "bench_c_m1d": 0.0026444428037970535, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.0037617321498791823, "ret_signed_p1d": -0.0037617321498791823, "alpha_spy_p1d": -0.0025022655070451316, "alpha_c_p1d": -0.0025022655070451316, "bench_spy_p1d": -0.0012594666428340506, "bench_c_p1d": -0.0012594666428340506, "ret_p1w": 0.003932126724902618, "ret_signed_p1w": 0.003932126724902618, "alpha_spy_p1w": 0.015407893284970386, "alpha_c_p1w": 0.015407893284970386, "bench_spy_p1w": -0.011475766560067768, "bench_c_p1w": -0.011475766560067768, "ret_p1m": -0.035608357374544264, "ret_signed_p1m": -0.035608357374544264, "alpha_spy_p1m": -0.05350648094896204, "alpha_c_p1m": -0.05350648094896204, "bench_spy_p1m": 0.01789812357441778, "bench_c_p1m": 0.01789812357441778, "ret_p3m": 0.08429520332423301, "ret_signed_p3m": 0.08429520332423301, "alpha_spy_p3m": 0.015240682455847088, "alpha_c_p3m": 0.015240682455847088, "bench_spy_p3m": 0.06905452086838593, "bench_c_p3m": 0.06905452086838593, "ret_p6m": 0.400084125775527, "ret_signed_p6m": 0.400084125775527, "alpha_spy_p6m": 0.3089041808753712, "alpha_c_p6m": 0.3089041808753712, "bench_spy_p6m": 0.0911799449001558, "bench_c_p6m": 0.0911799449001558, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.035608357374544264, "alpha_spy_stated": -0.05350648094896204, "alpha_c_stated": -0.05350648094896204, "price_path": [0.0387, 0.0773, 0.0745, 0.0139, 0.016, -0.0171, -0.0392, -0.0117, -0.0241, -0.064, -0.0408, -0.0073, -0.0103, -0.0209, -0.0498, -0.0626, -0.0645, -0.0645, -0.0495, -0.0571, -0.0529, -0.0331, -0.0207, -0.016, 0.0038, 0.0036, 0.0091, 0.0141, 0.058, 0.0598, 0.0643, 0.0739, 0.0585, 0.0371, 0.0289, 0.0289, -0.0003, 0.0101, 0.0198, 0.0385, 0.0422, 0.0164, 0.0217, 0.017, 0.0214, 0.0232, 0.0232, 0.013, 0.0193, 0.0314, 0.0363, 0.0394, 0.0477, 0.0115, 0.0352, -0.0019, 0.0115, -0.001, 0.0177, 0.0471, 0.0557, 0.0652, 0.0592, 0.0, -0.0038, -0.03, -0.0008, 0.0079, 0.0039, -0.0217, -0.16, -0.18, -0.1674, -0.1619, -0.1343, -0.1029, -0.0789, -0.0831, -0.0763, -0.0733, -0.0676, -0.0652, -0.0866, -0.0332, -0.0356, -0.0385, -0.0377, -0.0377, -0.0343, -0.0308, -0.0241, -0.0448, -0.0297, -0.014, -0.0087, -0.0066, -0.0077, -0.0172, 0.0045, -0.0015, 0.0022, -0.0122, -0.0083, -0.0188, -0.0255, -0.0613, -0.0483, -0.0457, 0.0023, 0.0843, 0.0769, 0.1032, 0.11, 0.1082, 0.1109, 0.1236, 0.0949, 0.0763, 0.0671, 0.0858, 0.0763, 0.0546, 0.0626, 0.0503, 0.0672, 0.0785, 0.0843, 0.0856, 0.0773, 0.0686, 0.1093, 0.1334, 0.1777, 0.1912, 0.2161, 0.2314, 0.2142, 0.2698, 0.2986, 0.3369, 0.3436, 0.3488, 0.3441, 0.355, 0.3808, 0.3725, 0.394, 0.4078, 0.4601, 0.4528, 0.4528, 0.4148, 0.3917, 0.3762, 0.3597, 0.3346, 0.3291, 0.3123, 0.2921, 0.3071, 0.3278, 0.3517, 0.3973, 0.3869, 0.3705, 0.3903, 0.4095, 0.4161, 0.4098, 0.4168, 0.4178, 0.4191, 0.4204, 0.4138, 0.4212, 0.3701, 0.3998, 0.4577, 0.4276, 0.3991, 0.4221, 0.4171, 0.4119, 0.3589, 0.366, 0.366, 0.3698, 0.4188, 0.4305, 0.4001]}
{"unit_id": "thread:1950617075728466166", "ticker_idx": 0, "ts": "2025-07-30T17:58:46+00:00", "symbol": "NVO", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "the market isn't factoring the long-term potential of their flagship products... This will directly increase the demand for $NVO Novo Nordisk", "tweet_type": "analysis", "timeline": "years", "summary": "Bullish NVO and LLY long-term: FDA crackdown on unregulated GLP-1 market + direct distribution channels will drive demand recovery; market underpricing long-term GLP-1 potential.", "resolved_tickers": ["NVO"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": "Drug Manufacturers - General", "unit_kind": "self_thread", "lang": "en", "tweet_text": "$NVO Novo Nordisk is down 28% right now.\n\nBut the market isn’t factoring the long-term potential of their flagship products.\n\nThe GLP-1 market is projected to have $470Bn revenue by 2030!\n\nHere’s why the stock is down, and why you should be watching closely: https://t.co/uJtsYapaWT\n\n---\n\n1/ Guidance Cuts\n\n$NVO Novo Nordisk cut its full-year guidance massively. Sales guidance is down to 11% from 17% and operating profit down to 13% from 20%.\n\nThe drop comes mainly from the slow growth in Wegovy (GLP-1 drug) in the U.S. market. \n\nEven Ozempic has underperformed due to competition from $LLY Eli Lilly and other unregulated drugs.\n\nThe cash flow forecast was also cut to $6.1B.\n\n---\n\n2/ Weakening Demand for GLP-1 Drugs\n\nGLP-1 drugs face huge competition from the unregulated market in the U.S.\n\nUnregulated drugs were originally allowed to exist due to the shortages in the GLP-1 market and the inability of both $NVO and $LLY to sustain the demand.\n\nDespite the FDA grace period ending in May, unsafe compounded GLP-1 drugs remain widely available - and cannibalize licensed GLP-1 drugs.\n\nThe average price of the unregulated drugs is close to $199/month and licensed drugs cost anywhere from $900 to $1300. \n\nThus, competing with the unregulated market is incredibly challenging.\n\n$NVO Novo has started pursuing legal action against but warns that without government intervention, patient safety and demand will continue to suffer.\n\n---\n\nOverall, the investor sentiment is undoubtedly shaken.\n\nNovo isn’t able to guarantee a good sales forecast for the future, without external help. The lack of hedging by Novo doesn’t imbibe investor confidence (rightfully so)\n\nBut, since the FDA grace period for unregulated drugs has ended, the government should start cracking down on the unlawful market - and at least begin reducing that supply. \n\nThis will directly increase the demand for $NVO Novo Nordisk and $LLY Eli Lilly.\n\nAdditionally, Novo’s initiatives to distribute the drugs directly to the patients through their channels like Novocare are showing significant promise. \n\nThe weekly prescriptions are now at a total of 31,000.\n\nBoth of these factors show significant promise in GLP-1 sales for the long-term.\n\n---\n\nI research and analyze world-class stocks in a major drawdown, with excellent rebound potential. \n\nFollow me if you found this post insightful, and retweet to share it with others!", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.07815314596977796, "ret_signed_m1d": 0.07815314596977796, "alpha_spy_m1d": 0.07689209107036321, "alpha_c_m1d": 0.07689209107036321, "bench_spy_m1d": 0.0012610548994147486, "bench_c_m1d": 0.0012610548994147486, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.05916451460845651, "ret_signed_p1d": -0.05916451460845651, "alpha_spy_p1d": -0.05541335045490248, "alpha_c_p1d": -0.05541335045490248, "bench_spy_p1d": -0.003751164153554032, "bench_c_p1d": -0.003751164153554032, "ret_p1w": -0.09294413473511076, "ret_signed_p1w": -0.09294413473511076, "alpha_spy_p1w": -0.09029625987766643, "alpha_c_p1w": -0.09029625987766643, "bench_spy_p1w": -0.0026478748574443323, "bench_c_p1w": -0.0026478748574443323, "ret_p1m": 0.13416509214102468, "ret_signed_p1m": 0.13416509214102468, "alpha_spy_p1m": 0.11137399296122097, "alpha_c_p1m": 0.11137399296122097, "bench_spy_p1m": 0.02279109917980371, "bench_c_p1m": 0.02279109917980371, "ret_p3m": 0.06907841069751797, "ret_signed_p3m": 0.06907841069751797, "alpha_spy_p3m": -0.013952498035274985, "alpha_c_p3m": -0.013952498035274985, "bench_spy_p3m": 0.08303090873279295, "bench_c_p3m": 0.08303090873279295, "ret_p6m": 0.2932432206669211, "ret_signed_p6m": 0.2932432206669211, "alpha_spy_p6m": 0.1951390827241477, "alpha_c_p6m": 0.1951390827241477, "bench_spy_p6m": 0.0981041379427734, "bench_c_p6m": 0.0981041379427734, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 252, "stated_label": "p1y", "ret_signed_stated": null, "alpha_spy_stated": null, "alpha_c_stated": null, "price_path": [0.3838, 0.3816, 0.325, 0.3502, 0.2962, 0.3146, 0.354, 0.3072, 0.2874, 0.3222, 0.2866, 0.3396, 0.3632, 0.3632, 0.3626, 0.3462, 0.3462, 0.408, 0.3712, 0.3884, 0.4291, 0.4557, 0.4173, 0.4399, 0.4521, 0.4917, 0.5083, 0.5856, 0.5737, 0.62, 0.5956, 0.5395, 0.4859, 0.4793, 0.4793, 0.4745, 0.3936, 0.4138, 0.3462, 0.3532, 0.3694, 0.3796, 0.3956, 0.3956, 0.3826, 0.3826, 0.3856, 0.392, 0.393, 0.4193, 0.3778, 0.378, 0.3436, 0.34, 0.305, 0.2854, 0.2976, 0.3348, 0.3998, 0.4138, 0.4331, 0.3792, 0.0782, 0.0, -0.0592, -0.0368, -0.0244, -0.0562, -0.0929, -0.0254, 0.021, -0.0032, -0.005, 0.0174, 0.0184, 0.0476, 0.0865, 0.1073, 0.0976, 0.1208, 0.1518, 0.1388, 0.1186, 0.1408, 0.1342, 0.1412, 0.1412, 0.1396, 0.1469, 0.1348, 0.1164, 0.0972, 0.0976, 0.099, 0.0976, 0.1091, 0.1243, 0.1562, 0.1764, 0.2502, 0.2411, 0.2271, 0.2035, 0.1873, 0.1328, 0.1241, 0.1218, 0.1216, 0.196, 0.1873, 0.2053, 0.2057, 0.193, 0.2049, 0.1861, 0.1507, 0.1623, 0.1453, 0.1465, 0.1338, 0.099, 0.1267, 0.1073, 0.079, 0.076, 0.0705, 0.0691, 0.0521, 0.0384, 0.0115, -0.0003, -0.0073, -0.0247, -0.0205, -0.0599, -0.0767, -0.0714, -0.0065, 0.0159, -0.0063, -0.0245, -0.0205, -0.0389, -0.0096, -0.0378, -0.0372, -0.091, -0.0488, -0.0154, -0.0154, -0.0025, -0.0211, -0.0413, -0.0385, -0.03, -0.0326, -0.0546, -0.0629, -0.0085, 0.0165, 0.0143, 0.0181, -0.0104, -0.0344, -0.0376, -0.0279, -0.0277, 0.0432, 0.0624, 0.0592, 0.0404, 0.0353, 0.0284, 0.059, 0.114, 0.1372, 0.1435, 0.159, 0.1887, 0.21, 0.2055, 0.1908, 0.1546, 0.2599, 0.2599, 0.2265, 0.199, 0.2579, 0.2585, 0.2932]}
{"unit_id": "thread:1950617075728466166", "ticker_idx": 1, "ts": "2025-07-30T17:58:46+00:00", "symbol": "LLY", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "This will directly increase the demand for $NVO Novo Nordisk and $LLY Eli Lilly", "tweet_type": "analysis", "timeline": "years", "summary": "Bullish NVO and LLY long-term: FDA crackdown on unregulated GLP-1 market + direct distribution channels will drive demand recovery; market underpricing long-term GLP-1 potential.", "resolved_tickers": ["LLY"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": "Drug Manufacturers - General", "unit_kind": "self_thread", "lang": "en", "tweet_text": "$NVO Novo Nordisk is down 28% right now.\n\nBut the market isn’t factoring the long-term potential of their flagship products.\n\nThe GLP-1 market is projected to have $470Bn revenue by 2030!\n\nHere’s why the stock is down, and why you should be watching closely: https://t.co/uJtsYapaWT\n\n---\n\n1/ Guidance Cuts\n\n$NVO Novo Nordisk cut its full-year guidance massively. Sales guidance is down to 11% from 17% and operating profit down to 13% from 20%.\n\nThe drop comes mainly from the slow growth in Wegovy (GLP-1 drug) in the U.S. market. \n\nEven Ozempic has underperformed due to competition from $LLY Eli Lilly and other unregulated drugs.\n\nThe cash flow forecast was also cut to $6.1B.\n\n---\n\n2/ Weakening Demand for GLP-1 Drugs\n\nGLP-1 drugs face huge competition from the unregulated market in the U.S.\n\nUnregulated drugs were originally allowed to exist due to the shortages in the GLP-1 market and the inability of both $NVO and $LLY to sustain the demand.\n\nDespite the FDA grace period ending in May, unsafe compounded GLP-1 drugs remain widely available - and cannibalize licensed GLP-1 drugs.\n\nThe average price of the unregulated drugs is close to $199/month and licensed drugs cost anywhere from $900 to $1300. \n\nThus, competing with the unregulated market is incredibly challenging.\n\n$NVO Novo has started pursuing legal action against but warns that without government intervention, patient safety and demand will continue to suffer.\n\n---\n\nOverall, the investor sentiment is undoubtedly shaken.\n\nNovo isn’t able to guarantee a good sales forecast for the future, without external help. The lack of hedging by Novo doesn’t imbibe investor confidence (rightfully so)\n\nBut, since the FDA grace period for unregulated drugs has ended, the government should start cracking down on the unlawful market - and at least begin reducing that supply. \n\nThis will directly increase the demand for $NVO Novo Nordisk and $LLY Eli Lilly.\n\nAdditionally, Novo’s initiatives to distribute the drugs directly to the patients through their channels like Novocare are showing significant promise. \n\nThe weekly prescriptions are now at a total of 31,000.\n\nBoth of these factors show significant promise in GLP-1 sales for the long-term.\n\n---\n\nI research and analyze world-class stocks in a major drawdown, with excellent rebound potential. \n\nFollow me if you found this post insightful, and retweet to share it with others!", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.0037759362105183047, "ret_signed_m1d": 0.0037759362105183047, "alpha_spy_m1d": 0.002514881311103556, "alpha_c_m1d": 0.002514881311103556, "bench_spy_m1d": 0.0012610548994147486, "bench_c_m1d": 0.0012610548994147486, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.02632601940452095, "ret_signed_p1d": -0.02632601940452095, "alpha_spy_p1d": -0.02257485525096692, "alpha_c_p1d": -0.02257485525096692, "bench_spy_p1d": -0.003751164153554032, "bench_c_p1d": -0.003751164153554032, "ret_p1w": -0.018037511094218472, "ret_signed_p1w": -0.018037511094218472, "alpha_spy_p1w": -0.01538963623677414, "alpha_c_p1w": -0.01538963623677414, "bench_spy_p1w": -0.0026478748574443323, "bench_c_p1w": -0.0026478748574443323, "ret_p1m": -0.03488082939265347, "ret_signed_p1m": -0.03488082939265347, "alpha_spy_p1m": -0.057671928572457176, "alpha_c_p1m": -0.057671928572457176, "bench_spy_p1m": 0.02279109917980371, "bench_c_p1m": 0.02279109917980371, "ret_p3m": 0.08965519472248795, "ret_signed_p3m": 0.08965519472248795, "alpha_spy_p3m": 0.006624285989695, "alpha_c_p3m": 0.006624285989695, "bench_spy_p3m": 0.08303090873279295, "bench_c_p3m": 0.08303090873279295, "ret_p6m": 0.4033370600472679, "ret_signed_p6m": 0.4033370600472679, "alpha_spy_p6m": 0.3052329221044945, "alpha_c_p6m": 0.3052329221044945, "bench_spy_p6m": 0.0981041379427734, "bench_c_p6m": 0.0981041379427734, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 252, "stated_label": "p1y", "ret_signed_stated": null, "alpha_spy_stated": null, "alpha_c_stated": null, "price_path": [0.0814, 0.0785, 0.0177, 0.0198, -0.0134, -0.0355, -0.008, -0.0205, -0.0605, -0.0372, -0.0035, -0.0065, -0.0172, -0.0462, -0.059, -0.061, -0.061, -0.0459, -0.0535, -0.0493, -0.0295, -0.0171, -0.0122, 0.0076, 0.0074, 0.0129, 0.0179, 0.062, 0.0638, 0.0683, 0.078, 0.0625, 0.041, 0.0328, 0.0328, 0.0035, 0.0139, 0.0237, 0.0424, 0.0461, 0.0202, 0.0256, 0.0208, 0.0253, 0.0271, 0.0271, 0.0168, 0.0231, 0.0353, 0.0402, 0.0433, 0.0517, 0.0154, 0.0391, 0.0019, 0.0153, 0.0028, 0.0215, 0.0511, 0.0597, 0.0692, 0.0632, 0.0038, 0.0, -0.0263, 0.003, 0.0117, 0.0077, -0.018, -0.1569, -0.1769, -0.1643, -0.1587, -0.131, -0.0995, -0.0754, -0.0796, -0.0728, -0.0698, -0.0641, -0.0616, -0.0832, -0.0295, -0.032, -0.0349, -0.0341, -0.0341, -0.0306, -0.0271, -0.0204, -0.0411, -0.0261, -0.0103, -0.005, -0.0028, -0.004, -0.0135, 0.0083, 0.0023, 0.006, -0.0085, -0.0046, -0.0151, -0.0218, -0.0578, -0.0447, -0.0421, 0.006, 0.0883, 0.081, 0.1074, 0.1142, 0.1124, 0.1151, 0.1278, 0.099, 0.0804, 0.0711, 0.0899, 0.0804, 0.0586, 0.0666, 0.0543, 0.0712, 0.0826, 0.0884, 0.0897, 0.0813, 0.0727, 0.1135, 0.1377, 0.1821, 0.1957, 0.2207, 0.2361, 0.2188, 0.2746, 0.3035, 0.342, 0.3487, 0.3539, 0.3491, 0.3602, 0.386, 0.3776, 0.3993, 0.4131, 0.4657, 0.4583, 0.4583, 0.4201, 0.3969, 0.3814, 0.3648, 0.3396, 0.3341, 0.3173, 0.297, 0.3121, 0.3329, 0.3568, 0.4026, 0.3922, 0.3757, 0.3956, 0.4148, 0.4215, 0.4151, 0.4221, 0.4231, 0.4244, 0.4258, 0.4191, 0.4266, 0.3753, 0.405, 0.4632, 0.433, 0.4044, 0.4274, 0.4224, 0.4173, 0.364, 0.3712, 0.3712, 0.375, 0.4242, 0.4359, 0.4054, 0.4033]}
{"unit_id": "thread:1951021230200594749", "ticker_idx": 0, "ts": "2025-07-31T20:44:44+00:00", "symbol": "FICO", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "I'm confident in FICO. Their systems are deeply integrated into the financial ecosystem.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Long FICO: deep ecosystem integration beyond mortgages, expanding software business, and strong score adoption offset regulatory headwinds.", "resolved_tickers": ["FICO"], "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": "Despite the shakeup, FICO is mostly confident. CEO Will Lansing emphasized the superior predictive power of FICO scores, calling that their core “moat.”\n\nDuring the company’s Q3 2025 earnings call on July 30, executives noted that no major lenders had yet shifted to VantageScore, and they downplayed immediate competitive threats.\n\n---\n\nThey also reiterated that the FICO Score still underpins a vast infrastructure of underwriting, risk models, and compliance processes, making any transition costly and slow.\n\nNonetheless, they acknowledged the FHFA’s direction and are actively engaged with regulators to ensure FICO remains a trusted standard.\n\n---\n\nEven though FICO is positive about their growth and their long-standing reputation in the market, the mere availability of alternatives threatens FICO to some degree.\n\nTomorrow, the regulation bodies could signal further policy action against FICO to promote more competition across the credit market. \n\nIt’s not in their hands, and until recently they hadn’t even hedged against this.\n\n---\n\nAnd yet I’m confident in FICO. Their systems are deeply integrated into the financial ecosystem. \n\nBeyond mortgages, FICO scores are widely used in auto lending, credit cards, and personal loans. None of these areas are affected by the FHFA decision.\n\nThe company also continues to expand its software business and roll out next-gen scores like FICO 10T and BNPL-integrated models.\n\nThe results are out there, the software bookings were up 22% QoQ and down 3% YoY.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.04029486309769781, "ret_signed_m1d": 0.04029486309769781, "alpha_spy_m1d": 0.02363132309672511, "alpha_c_m1d": 0.02363132309672511, "bench_spy_m1d": 0.0166635400009727, "bench_c_m1d": 0.0166635400009727, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.014539420040702744, "ret_signed_p1d": -0.014539420040702744, "alpha_spy_p1d": -0.029739184200776148, "alpha_c_p1d": -0.029739184200776148, "bench_spy_p1d": 0.015199764160073403, "bench_c_p1d": 0.015199764160073403, "ret_p1w": -0.04358210934064599, "ret_signed_p1w": -0.04358210934064599, "alpha_spy_p1w": -0.06844863049328376, "alpha_c_p1w": -0.06844863049328376, "bench_spy_p1w": 0.024866521152637766, "bench_c_p1w": 0.024866521152637766, "ret_p1m": 0.1017834532835118, "ret_signed_p1m": 0.1017834532835118, "alpha_spy_p1m": 0.06425840273574979, "alpha_c_p1m": 0.06425840273574979, "bench_spy_p1m": 0.03752505054776201, "bench_c_p1m": 0.03752505054776201, "ret_p3m": 0.13455515314363753, "ret_signed_p3m": 0.13455515314363753, "alpha_spy_p3m": 0.02586341955143623, "alpha_c_p3m": 0.02586341955143623, "bench_spy_p3m": 0.1086917335922013, "bench_c_p3m": 0.1086917335922013, "ret_p6m": 0.10470150193680694, "ret_signed_p6m": 0.10470150193680694, "alpha_spy_p6m": -0.020256039928254088, "alpha_c_p6m": -0.020256039928254088, "bench_spy_p6m": 0.12495754186506103, "bench_c_p6m": 0.12495754186506103, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.1017834532835118, "alpha_spy_stated": 0.06425840273574979, "alpha_c_stated": 0.06425840273574979, "price_path": [0.4922, 0.517, 0.5247, 0.512, 0.5423, 0.5466, 0.5393, 0.5788, 0.5943, 0.5973, 0.4677, 0.2367, 0.2312, 0.2268, 0.2268, 0.0887, 0.173, 0.2201, 0.25, 0.2659, 0.261, 0.2708, 0.283, 0.2853, 0.2667, 0.2925, 0.307, 0.292, 0.2922, 0.3138, 0.2866, 0.277, 0.277, 0.3068, 0.3622, 0.3949, 0.371, 0.3148, 0.3151, 0.3236, 0.3346, 0.3343, 0.3434, 0.3434, 0.3539, 0.2332, 0.1525, 0.1472, 0.1181, 0.1202, 0.0913, 0.1127, 0.1044, 0.1163, 0.1086, 0.109, 0.1087, 0.112, 0.1097, 0.0961, 0.0898, 0.1062, 0.0403, 0.0, -0.0145, -0.0275, 0.0091, -0.0344, -0.0436, -0.0505, -0.0452, -0.0331, -0.0455, -0.0274, -0.0224, 0.0028, -0.0268, -0.014, 0.0252, 0.031, 0.0283, 0.0277, 0.0907, 0.1018, 0.1018, 0.0896, 0.1011, 0.0998, 0.1093, 0.1138, 0.1198, 0.1081, 0.156, 0.118, 0.1261, 0.1249, 0.1236, 0.1021, 0.0696, 0.1143, 0.1113, 0.1174, 0.1211, 0.0997, 0.1045, 0.0836, 0.0953, 0.2922, 0.34, 0.3397, 0.3609, 0.2273, 0.2373, 0.2057, 0.1947, 0.1944, 0.1851, 0.1731, 0.1701, 0.1733, 0.1338, 0.1397, 0.1696, 0.207, 0.2201, 0.2068, 0.1346, 0.1479, 0.2016, 0.1951, 0.1629, 0.1797, 0.2127, 0.2599, 0.2717, 0.3017, 0.2873, 0.2579, 0.2609, 0.2746, 0.249, 0.2571, 0.2458, 0.2948, 0.2659, 0.3106, 0.3014, 0.3014, 0.3076, 0.2807, 0.2879, 0.2761, 0.283, 0.3023, 0.2747, 0.2684, 0.2688, 0.322, 0.3359, 0.3089, 0.2976, 0.2708, 0.2754, 0.266, 0.2618, 0.2496, 0.2534, 0.2694, 0.2828, 0.2641, 0.2241, 0.1899, 0.1972, 0.1585, 0.1444, 0.1481, 0.206, 0.1812, 0.1753, 0.1703, 0.1449, 0.1348, 0.1348, 0.0821, 0.1118, 0.1274, 0.1185, 0.1229, 0.1187, 0.1047]}
{"unit_id": "reply:1951582276581544011", "ticker_idx": 0, "ts": "2025-08-02T09:54:08+00:00", "symbol": "ASML.AS", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$ASML below $700 is insane", "tweet_type": "prediction", "timeline": "unspecified", "summary": "ASML below $700 is a compelling opportunity; implied bullish at current levels.", "resolved_tickers": ["ASML.AS"], "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": "reply_other", "lang": "en", "tweet_text": "@dividendology $ASML below $700 is insane https://t.co/r4X2fZ8q00", "reply_text": null, "parent_text": "What do you think are the best opportunities on the market right now?", "quoted_text": null, "parent_author": "dividendology", "ret_m1d": -0.012284286502971198, "ret_signed_m1d": -0.012284286502971198, "alpha_spy_m1d": 0.002687903894106891, "alpha_c_m1d": 0.00921885977661252, "bench_spy_m1d": -0.014972190397078089, "bench_c_m1d": -0.021503146279583718, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.008798340093425727, "ret_signed_p1d": -0.008798340093425727, "alpha_spy_p1d": -0.003728413749813142, "alpha_c_p1d": 0.0018498515210666477, "bench_spy_p1d": -0.005069926343612585, "bench_c_p1d": -0.010648191614492375, "ret_p1w": 0.040836594543169236, "ret_signed_p1w": 0.040836594543169236, "alpha_spy_p1w": 0.0333109012390036, "alpha_c_p1w": 0.029774982318831356, "bench_spy_p1w": 0.007525693304165637, "bench_c_p1w": 0.01106161222433788, "ret_p1m": 0.02456836928643158, "ret_signed_p1m": 0.02456836928643158, "alpha_spy_p1m": 0.010150650141226514, "alpha_c_p1m": 0.03735307725999548, "bench_spy_p1m": 0.014417719145205066, "bench_c_p1m": -0.012784707973563902, "ret_p3m": 0.5590217185370494, "ret_signed_p3m": 0.5590217185370494, "alpha_spy_p3m": 0.4789404651797655, "alpha_c_p3m": 0.30560153065695084, "bench_spy_p3m": 0.08008125335728389, "bench_c_p3m": 0.25342018788009857, "ret_p6m": 0.9822440111556805, "ret_signed_p6m": 0.9822440111556805, "alpha_spy_p6m": 0.8763284648220837, "alpha_c_p6m": 0.5389856997557576, "bench_spy_p6m": 0.10591554633359679, "bench_c_p6m": 0.4432583113999229, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.02456836928643158, "alpha_spy_stated": 0.010150650141226514, "alpha_c_stated": 0.03735307725999548, "price_path": [0.0012, 0.0439, 0.0378, 0.1041, 0.132, 0.1368, 0.1295, 0.1066, 0.0967, 0.0927, 0.1005, 0.0874, 0.0639, 0.0828, 0.1028, 0.094, 0.1018, 0.0826, 0.0699, 0.0813, 0.0801, 0.0911, 0.1053, 0.126, 0.1333, 0.1427, 0.1202, 0.1003, 0.1094, 0.1027, 0.101, 0.0813, 0.0768, 0.1071, 0.1447, 0.1498, 0.1215, 0.13, 0.1219, 0.1063, 0.1219, 0.121, 0.0917, 0.1119, 0.124, 0.1255, 0.1424, 0.1323, 0.1379, 0.169, 0.0361, 0.0765, 0.0488, 0.0333, -0.0026, 0.0043, 0.0197, 0.0015, 0.043, 0.0342, 0.0417, 0.0178, -0.0123, 0.0, -0.0088, -0.0158, 0.0138, 0.0241, 0.0408, 0.0523, 0.0634, 0.0672, 0.0569, 0.0603, 0.0662, 0.0594, 0.0533, 0.0727, 0.0735, 0.08, 0.0959, 0.0862, 0.0568, 0.0559, 0.0246, 0.038, 0.075, 0.0959, 0.1232, 0.1341, 0.1291, 0.1388, 0.1451, 0.2108, 0.2166, 0.2234, 0.3181, 0.3176, 0.3459, 0.3609, 0.3413, 0.3474, 0.3493, 0.3704, 0.3747, 0.3967, 0.4568, 0.461, 0.4895, 0.4522, 0.414, 0.4107, 0.3511, 0.4011, 0.4054, 0.4492, 0.4565, 0.4537, 0.4924, 0.4771, 0.4444, 0.4736, 0.4847, 0.5075, 0.509, 0.5289, 0.559, 0.5268, 0.5407, 0.5266, 0.5076, 0.4888, 0.4481, 0.4745, 0.4749, 0.483, 0.4659, 0.4536, 0.4574, 0.4395, 0.4744, 0.4797, 0.3869, 0.4281, 0.4306, 0.5121, 0.492, 0.5023, 0.5411, 0.5617, 0.6021, 0.5919, 0.5825, 0.6018, 0.5846, 0.5732, 0.5647, 0.5387, 0.5482, 0.511, 0.4534, 0.4845, 0.4993, 0.49, 0.502, 0.495, 0.495, 0.508, 0.5273, 0.5322, 0.6402, 0.7514, 0.7644, 0.7491, 0.6846, 0.7987, 0.8066, 0.8336, 0.803, 0.9114, 0.941, 0.8632, 0.8958, 0.9204, 0.9563, 0.9593, 0.959, 1.0248, 0.9862, 0.9822]}
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{"unit_id": "reply:1952304080547922263", "ticker_idx": 0, "ts": "2025-08-04T09:42:19+00:00", "symbol": "ASML", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$ASML below $700 is diabolical", "tweet_type": "prediction", "timeline": "unspecified", "summary": "ASML below $700 is an extraordinary bargain; implied strong buy.", "resolved_tickers": ["ASML"], "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": "reply_other", "lang": "en", "tweet_text": "@TacticzH $ASML below $700 is diabolical https://t.co/zKNPgXlJd6", "reply_text": null, "parent_text": "Which company do you think is the best buy right now?\n\n- $NVO at $48\n\n- $UNH at $237\n\n- $ASML at €595\n\n- $GOOGL at $190\n\n- $SOFI at $21\n\n- $SPOT at $627\n\n- $FICO at $1381\n\n- $RKLB at $45\n\n- $ZETA at $15\n\n- $TSLA at $302", "quoted_text": null, "parent_author": "TacticzH", "ret_m1d": -0.013640920233955689, "ret_signed_m1d": -0.013640920233955689, "alpha_spy_m1d": 0.0013312701631224, "alpha_c_m1d": 0.007862226045628029, "bench_spy_m1d": -0.014972190397078089, "bench_c_m1d": -0.021503146279583718, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.013912720921406052, "ret_signed_p1d": -0.013912720921406052, "alpha_spy_p1d": -0.008842794577793467, "alpha_c_p1d": -0.003264529306913677, "bench_spy_p1d": -0.005069926343612585, "bench_c_p1d": -0.010648191614492375, "ret_p1w": 0.03138587292677397, "ret_signed_p1w": 0.03138587292677397, "alpha_spy_p1w": 0.023860179622608335, "alpha_c_p1w": 0.020324260702436092, "bench_spy_p1w": 0.007525693304165637, "bench_c_p1w": 0.01106161222433788, "ret_p1m": 0.03787750509779819, "ret_signed_p1m": 0.03787750509779819, "alpha_spy_p1m": 0.023459785952593126, "alpha_c_p1m": 0.050662213071362094, "bench_spy_p1m": 0.014417719145205066, "bench_c_p1m": -0.012784707973563902, "ret_p3m": 0.5404913714248516, "ret_signed_p3m": 0.5404913714248516, "alpha_spy_p3m": 0.4604101180675677, "alpha_c_p3m": 0.28707118354475303, "bench_spy_p3m": 0.08008125335728389, "bench_c_p3m": 0.25342018788009857, "ret_p6m": 1.0843942011876058, "ret_signed_p6m": 1.0843942011876058, "alpha_spy_p6m": 0.978478654854009, "alpha_c_p6m": 0.6411358897876829, "bench_spy_p6m": 0.10591554633359679, "bench_c_p6m": 0.4432583113999229, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.03787750509779819, "alpha_spy_stated": 0.023459785952593126, "alpha_c_stated": 0.050662213071362094, "price_path": [-0.0011, 0.0098, 0.0072, 0.07, 0.0895, 0.0967, 0.0816, 0.067, 0.0685, 0.0679, 0.0514, 0.0564, 0.0447, 0.0447, 0.0794, 0.0647, 0.0655, 0.0508, 0.0647, 0.0658, 0.0594, 0.0665, 0.074, 0.0985, 0.1196, 0.1183, 0.1213, 0.0854, 0.1057, 0.0838, 0.0863, 0.0863, 0.079, 0.1121, 0.1601, 0.1627, 0.1383, 0.1352, 0.143, 0.1274, 0.1404, 0.1332, 0.1332, 0.1197, 0.1326, 0.1408, 0.144, 0.1438, 0.1506, 0.1738, 0.076, 0.0624, 0.0477, 0.0265, 0.0062, 0.0225, 0.0342, 0.0144, 0.0412, 0.0274, 0.0316, -0.0066, -0.0136, 0.0, -0.0139, -0.012, 0.0197, 0.0328, 0.0314, 0.0607, 0.0804, 0.0799, 0.0612, 0.0689, 0.0633, 0.0717, 0.0515, 0.0794, 0.0788, 0.0913, 0.101, 0.0917, 0.0619, 0.0619, 0.0379, 0.0536, 0.0773, 0.1177, 0.1385, 0.1512, 0.1341, 0.1499, 0.1637, 0.2401, 0.256, 0.2472, 0.3266, 0.3329, 0.3695, 0.3777, 0.354, 0.3577, 0.3606, 0.3764, 0.3843, 0.4346, 0.473, 0.4759, 0.4918, 0.4332, 0.4124, 0.4021, 0.3386, 0.4079, 0.4058, 0.4439, 0.4579, 0.4717, 0.4901, 0.4657, 0.4464, 0.4819, 0.4772, 0.5156, 0.5049, 0.5339, 0.5405, 0.5173, 0.5281, 0.4756, 0.4951, 0.4742, 0.4567, 0.488, 0.4645, 0.4859, 0.4609, 0.4424, 0.4611, 0.4382, 0.4888, 0.4053, 0.3845, 0.415, 0.437, 0.4911, 0.4911, 0.5184, 0.5585, 0.5882, 0.6343, 0.5901, 0.5749, 0.6039, 0.592, 0.6033, 0.6084, 0.5482, 0.5582, 0.5414, 0.4545, 0.4844, 0.5127, 0.514, 0.521, 0.5263, 0.5366, 0.527, 0.5358, 0.5325, 0.667, 0.7593, 0.7793, 0.7597, 0.7108, 0.8247, 0.8353, 0.8194, 0.8102, 0.9074, 0.946, 0.946, 0.8995, 0.9482, 0.9982, 0.9897, 1.0245, 1.0836, 1.0382, 1.0844]}
{"unit_id": "quote:1952322119456452862", "ticker_idx": 0, "ts": "2025-08-04T10:54:00+00:00", "symbol": "ASML", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "All roads lead to $ASML", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish ASML as the key beneficiary; counters 'all roads lead to NVDA' with ASML instead.", "resolved_tickers": ["ASML"], "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": "All roads lead to $ASML", "reply_text": null, "parent_text": null, "quoted_text": "All roads lead to $NVDA.", "parent_author": null, "ret_m1d": -0.013640920233955689, "ret_signed_m1d": -0.013640920233955689, "alpha_spy_m1d": 0.0013312701631224, "alpha_c_m1d": 0.007862226045628029, "bench_spy_m1d": -0.014972190397078089, "bench_c_m1d": -0.021503146279583718, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.013912720921406052, "ret_signed_p1d": -0.013912720921406052, "alpha_spy_p1d": -0.008842794577793467, "alpha_c_p1d": -0.003264529306913677, "bench_spy_p1d": -0.005069926343612585, "bench_c_p1d": -0.010648191614492375, "ret_p1w": 0.03138587292677397, "ret_signed_p1w": 0.03138587292677397, "alpha_spy_p1w": 0.023860179622608335, "alpha_c_p1w": 0.020324260702436092, "bench_spy_p1w": 0.007525693304165637, "bench_c_p1w": 0.01106161222433788, "ret_p1m": 0.03787750509779819, "ret_signed_p1m": 0.03787750509779819, "alpha_spy_p1m": 0.023459785952593126, "alpha_c_p1m": 0.050662213071362094, "bench_spy_p1m": 0.014417719145205066, "bench_c_p1m": -0.012784707973563902, "ret_p3m": 0.5404913714248516, "ret_signed_p3m": 0.5404913714248516, "alpha_spy_p3m": 0.4604101180675677, "alpha_c_p3m": 0.28707118354475303, "bench_spy_p3m": 0.08008125335728389, "bench_c_p3m": 0.25342018788009857, "ret_p6m": 1.0843942011876058, "ret_signed_p6m": 1.0843942011876058, "alpha_spy_p6m": 0.978478654854009, "alpha_c_p6m": 0.6411358897876829, "bench_spy_p6m": 0.10591554633359679, "bench_c_p6m": 0.4432583113999229, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.03787750509779819, "alpha_spy_stated": 0.023459785952593126, "alpha_c_stated": 0.050662213071362094, "price_path": [-0.0011, 0.0098, 0.0072, 0.07, 0.0895, 0.0967, 0.0816, 0.067, 0.0685, 0.0679, 0.0514, 0.0564, 0.0447, 0.0447, 0.0794, 0.0647, 0.0655, 0.0508, 0.0647, 0.0658, 0.0594, 0.0665, 0.074, 0.0985, 0.1196, 0.1183, 0.1213, 0.0854, 0.1057, 0.0838, 0.0863, 0.0863, 0.079, 0.1121, 0.1601, 0.1627, 0.1383, 0.1352, 0.143, 0.1274, 0.1404, 0.1332, 0.1332, 0.1197, 0.1326, 0.1408, 0.144, 0.1438, 0.1506, 0.1738, 0.076, 0.0624, 0.0477, 0.0265, 0.0062, 0.0225, 0.0342, 0.0144, 0.0412, 0.0274, 0.0316, -0.0066, -0.0136, 0.0, -0.0139, -0.012, 0.0197, 0.0328, 0.0314, 0.0607, 0.0804, 0.0799, 0.0612, 0.0689, 0.0633, 0.0717, 0.0515, 0.0794, 0.0788, 0.0913, 0.101, 0.0917, 0.0619, 0.0619, 0.0379, 0.0536, 0.0773, 0.1177, 0.1385, 0.1512, 0.1341, 0.1499, 0.1637, 0.2401, 0.256, 0.2472, 0.3266, 0.3329, 0.3695, 0.3777, 0.354, 0.3577, 0.3606, 0.3764, 0.3843, 0.4346, 0.473, 0.4759, 0.4918, 0.4332, 0.4124, 0.4021, 0.3386, 0.4079, 0.4058, 0.4439, 0.4579, 0.4717, 0.4901, 0.4657, 0.4464, 0.4819, 0.4772, 0.5156, 0.5049, 0.5339, 0.5405, 0.5173, 0.5281, 0.4756, 0.4951, 0.4742, 0.4567, 0.488, 0.4645, 0.4859, 0.4609, 0.4424, 0.4611, 0.4382, 0.4888, 0.4053, 0.3845, 0.415, 0.437, 0.4911, 0.4911, 0.5184, 0.5585, 0.5882, 0.6343, 0.5901, 0.5749, 0.6039, 0.592, 0.6033, 0.6084, 0.5482, 0.5582, 0.5414, 0.4545, 0.4844, 0.5127, 0.514, 0.521, 0.5263, 0.5366, 0.527, 0.5358, 0.5325, 0.667, 0.7593, 0.7793, 0.7597, 0.7108, 0.8247, 0.8353, 0.8194, 0.8102, 0.9074, 0.946, 0.946, 0.8995, 0.9482, 0.9982, 0.9897, 1.0245, 1.0836, 1.0382, 1.0844]}
{"unit_id": "thread:1952791838588309882", "ticker_idx": 0, "ts": "2025-08-05T18:00:30+00:00", "symbol": "NVO", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$NVO and $LLY will come out on top", "tweet_type": "analysis", "timeline": "years", "summary": "Long NVO and LLY as GLP-1 dominators by 2030; bearish HIMS as compounded GLP-1s are now illegal and FDA-unapproved.", "resolved_tickers": ["NVO"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": "Drug Manufacturers - General", "unit_kind": "self_thread", "lang": "en", "tweet_text": "$HIMS is not a threat to the GLP-1 industry\n\nThe GLP-1 market is projected to have $470Bn revenue by 2030!\n\n$NVO Novo Nordisk and $LLY Eli Lilly are both positioned to win\n\nHere’s why $NVO and $LLY will come out on top: https://t.co/zKYKhCNq9W\n\n---\n\n1/ $HIMS can’t legally sell GLP-1\n\nInitially, compounded GLP-1 drugs were allowed to be sold in the market due to:\n\na/ shortages of branded drugs. \n\nb/ if a patient had specific needs that the branded drugs couldn’t meet.\n\n$HIMS started selling compounded GLP-1 drugs during this period, and it quickly became 1/3rd of their total business.\n\nBut the shortages are over - and the FDA has officially declared that compounded drugs aren't legal anymore.\n\n$NVO and $LLY invested billions into R&D and clinical trials to ensure the quality and safety standards of the drug. \n\nCompanies that compound these drugs, take the active ingredient from branded drugs (semaglutide in this case) and mix it with their own concoction. \n\nThese drugs aren’t FDA approved either.\n\n---\n\n2/ $NVO Novo Nordisk \n\n$NVO Novo Nordisk has massive investments into the GLP-1 industry. \n\nApart from the billions invested into the development of the drug, they also put over $2B in production, and $4.1B into a factory in North Carolina to reduce shortages.\n\nAdditionally, Novo is in the final stages of releasing oral pills for their weight-loss drugs. 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{"unit_id": "thread:1952791838588309882", "ticker_idx": 1, "ts": "2025-08-05T18:00:30+00:00", "symbol": "LLY", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$NVO and $LLY will come out on top", "tweet_type": "analysis", "timeline": "years", "summary": "Long NVO and LLY as GLP-1 dominators by 2030; bearish HIMS as compounded GLP-1s are now illegal and FDA-unapproved.", "resolved_tickers": ["LLY"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": "Drug Manufacturers - General", "unit_kind": "self_thread", "lang": "en", "tweet_text": "$HIMS is not a threat to the GLP-1 industry\n\nThe GLP-1 market is projected to have $470Bn revenue by 2030!\n\n$NVO Novo Nordisk and $LLY Eli Lilly are both positioned to win\n\nHere’s why $NVO and $LLY will come out on top: https://t.co/zKYKhCNq9W\n\n---\n\n1/ $HIMS can’t legally sell GLP-1\n\nInitially, compounded GLP-1 drugs were allowed to be sold in the market due to:\n\na/ shortages of branded drugs. \n\nb/ if a patient had specific needs that the branded drugs couldn’t meet.\n\n$HIMS started selling compounded GLP-1 drugs during this period, and it quickly became 1/3rd of their total business.\n\nBut the shortages are over - and the FDA has officially declared that compounded drugs aren't legal anymore.\n\n$NVO and $LLY invested billions into R&D and clinical trials to ensure the quality and safety standards of the drug. \n\nCompanies that compound these drugs, take the active ingredient from branded drugs (semaglutide in this case) and mix it with their own concoction. \n\nThese drugs aren’t FDA approved either.\n\n---\n\n2/ $NVO Novo Nordisk \n\n$NVO Novo Nordisk has massive investments into the GLP-1 industry. \n\nApart from the billions invested into the development of the drug, they also put over $2B in production, and $4.1B into a factory in North Carolina to reduce shortages.\n\nAdditionally, Novo is in the final stages of releasing oral pills for their weight-loss drugs. 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{"unit_id": "thread:1952791838588309882", "ticker_idx": 2, "ts": "2025-08-05T18:00:30+00:00", "symbol": "HIMS", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$HIMS is not a threat to the GLP-1 industry", "tweet_type": "analysis", "timeline": "years", "summary": "Long NVO and LLY as GLP-1 dominators by 2030; bearish HIMS as compounded GLP-1s are now illegal and FDA-unapproved.", "resolved_tickers": ["HIMS"], "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": "Drug Manufacturers - Specialty & Generic", "unit_kind": "self_thread", "lang": "en", "tweet_text": "$HIMS is not a threat to the GLP-1 industry\n\nThe GLP-1 market is projected to have $470Bn revenue by 2030!\n\n$NVO Novo Nordisk and $LLY Eli Lilly are both positioned to win\n\nHere’s why $NVO and $LLY will come out on top: https://t.co/zKYKhCNq9W\n\n---\n\n1/ $HIMS can’t legally sell GLP-1\n\nInitially, compounded GLP-1 drugs were allowed to be sold in the market due to:\n\na/ shortages of branded drugs. \n\nb/ if a patient had specific needs that the branded drugs couldn’t meet.\n\n$HIMS started selling compounded GLP-1 drugs during this period, and it quickly became 1/3rd of their total business.\n\nBut the shortages are over - and the FDA has officially declared that compounded drugs aren't legal anymore.\n\n$NVO and $LLY invested billions into R&D and clinical trials to ensure the quality and safety standards of the drug. \n\nCompanies that compound these drugs, take the active ingredient from branded drugs (semaglutide in this case) and mix it with their own concoction. \n\nThese drugs aren’t FDA approved either.\n\n---\n\n2/ $NVO Novo Nordisk \n\n$NVO Novo Nordisk has massive investments into the GLP-1 industry. \n\nApart from the billions invested into the development of the drug, they also put over $2B in production, and $4.1B into a factory in North Carolina to reduce shortages.\n\nAdditionally, Novo is in the final stages of releasing oral pills for their weight-loss drugs. 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{"unit_id": "reply:1952791861577302043", "ticker_idx": 0, "ts": "2025-08-05T18:00:35+00:00", "symbol": "NVO", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "the bookings should directly go towards $NVO and $LLY", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish on NVO and LLY as Medicaid/Medicare GLP-1 coverage expansion and FDA ban on compounded drugs channels demand to branded manufacturers.", "resolved_tickers": ["NVO"], "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": "Drug Manufacturers - General", "unit_kind": "reply_other", "lang": "en", "tweet_text": "4/ Overall, things are looking up for branded drug-manufacturers. \n\nBoth are advancing into producing better GLP-1 drugs, and competing fairly. \n\nSoon, Medicaid and medicare will cover GLP-1 drugs - and with the FDA actively declaring compounded drugs illegal, the bookings should directly go towards $NVO and $LLY.", "reply_text": null, "parent_text": "3/ $LLY Eli Lilly\n\n$LLY Eli Lilly is gaining ground fast through tirzepatide - the active ingredient in their weight loss drugs. \n\nEli Lilly’s orforglipron is among the first oral small‑molecule GLP‑1s to complete Phase 3 trials, offering easier production and lower cost.\n\n$LLY", "quoted_text": null, "parent_author": "rebound_capital", "ret_m1d": 0.03367224022824189, "ret_signed_m1d": 0.03367224022824189, "alpha_spy_m1d": 0.028576478749266165, "alpha_c_m1d": 0.028576478749266165, "bench_spy_m1d": 0.005095761478975724, "bench_c_m1d": 0.005095761478975724, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.03896651535286433, "ret_signed_p1d": -0.03896651535286433, "alpha_spy_p1d": -0.04662617579790773, "alpha_c_p1d": -0.04662617579790773, "bench_spy_p1d": 0.007659660445043404, "bench_c_p1d": 0.007659660445043404, "ret_p1w": 0.05421423436060091, "ret_signed_p1w": 0.05421423436060091, "alpha_spy_p1w": 0.030773476051858317, "alpha_c_p1w": 0.030773476051858317, "bench_spy_p1w": 0.023440758308742593, "bench_c_p1w": 0.023440758308742593, "ret_p1m": 0.21514979795419364, "ret_signed_p1m": 0.21514979795419364, "alpha_spy_p1m": 0.1900370512587637, "alpha_c_p1m": 0.1900370512587637, "bench_spy_p1m": 0.025112746695429955, "bench_c_p1m": 0.025112746695429955, "ret_p3m": 0.059240543550773905, "ret_signed_p3m": 0.059240543550773905, "alpha_spy_p3m": -0.02990530957604287, "alpha_c_p3m": -0.02990530957604287, "bench_spy_p3m": 0.08914585312681678, "bench_c_p3m": 0.08914585312681678, "ret_p6m": 0.2727590861751852, "ret_signed_p6m": 0.2727590861751852, "alpha_spy_p6m": 0.16452333954697274, "alpha_c_p6m": 0.16452333954697274, "bench_spy_p6m": 0.10823574662821245, "bench_c_p6m": 0.10823574662821245, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.21514979795419364, "alpha_spy_stated": 0.1900370512587637, "alpha_c_stated": 0.1900370512587637, "price_path": [0.3734, 0.3928, 0.4346, 0.385, 0.364, 0.4009, 0.3632, 0.4193, 0.4443, 0.4443, 0.4437, 0.4263, 0.4263, 0.4917, 0.4528, 0.471, 0.5142, 0.5424, 0.5017, 0.5256, 0.5385, 0.5805, 0.5981, 0.68, 0.6673, 0.7164, 0.6906, 0.6311, 0.5743, 0.5673, 0.5673, 0.5623, 0.4765, 0.4979, 0.4263, 0.4337, 0.4509, 0.4617, 0.4786, 0.4786, 0.4648, 0.4648, 0.468, 0.4748, 0.4759, 0.5038, 0.4598, 0.46, 0.4235, 0.4197, 0.3827, 0.3619, 0.3748, 0.4142, 0.4831, 0.4979, 0.5184, 0.4612, 0.1423, 0.0595, -0.0032, 0.0205, 0.0337, 0.0, -0.039, 0.0326, 0.0817, 0.0561, 0.0542, 0.0779, 0.079, 0.1099, 0.1511, 0.1732, 0.1629, 0.1875, 0.2203, 0.2066, 0.1852, 0.2087, 0.2017, 0.2092, 0.2092, 0.2074, 0.2151, 0.2023, 0.1828, 0.1625, 0.1629, 0.1644, 0.1629, 0.1751, 0.1912, 0.225, 0.2464, 0.3246, 0.3149, 0.3002, 0.2751, 0.258, 0.2002, 0.1909, 0.1886, 0.1884, 0.2672, 0.258, 0.277, 0.2775, 0.264, 0.2766, 0.2567, 0.2192, 0.2314, 0.2134, 0.2147, 0.2012, 0.1644, 0.1937, 0.1732, 0.1432, 0.14, 0.1342, 0.1327, 0.1147, 0.1001, 0.0717, 0.0592, 0.0517, 0.0333, 0.0378, -0.0039, -0.0217, -0.0161, 0.0526, 0.0764, 0.0528, 0.0335, 0.0378, 0.0183, 0.0494, 0.0194, 0.02, -0.0369, 0.0078, 0.0432, 0.0432, 0.0569, 0.0372, 0.0158, 0.0188, 0.0278, 0.025, 0.0016, -0.0071, 0.0505, 0.077, 0.0747, 0.0787, 0.0485, 0.023, 0.0196, 0.0299, 0.0301, 0.1053, 0.1256, 0.1222, 0.1023, 0.0969, 0.0897, 0.122, 0.1802, 0.2049, 0.2115, 0.228, 0.2595, 0.282, 0.2773, 0.2616, 0.2233, 0.3349, 0.3349, 0.2995, 0.2704, 0.3327, 0.3334, 0.3702, 0.3469, 0.292, 0.2706, 0.2728]}
{"unit_id": "reply:1952791861577302043", "ticker_idx": 1, "ts": "2025-08-05T18:00:35+00:00", "symbol": "LLY", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "the bookings should directly go towards $NVO and $LLY", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish on NVO and LLY as Medicaid/Medicare GLP-1 coverage expansion and FDA ban on compounded drugs channels demand to branded manufacturers.", "resolved_tickers": ["LLY"], "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": "Drug Manufacturers - General", "unit_kind": "reply_other", "lang": "en", "tweet_text": "4/ Overall, things are looking up for branded drug-manufacturers. \n\nBoth are advancing into producing better GLP-1 drugs, and competing fairly. \n\nSoon, Medicaid and medicare will cover GLP-1 drugs - and with the FDA actively declaring compounded drugs illegal, the bookings should directly go towards $NVO and $LLY.", "reply_text": null, "parent_text": "3/ $LLY Eli Lilly\n\n$LLY Eli Lilly is gaining ground fast through tirzepatide - the active ingredient in their weight loss drugs. \n\nEli Lilly’s orforglipron is among the first oral small‑molecule GLP‑1s to complete Phase 3 trials, offering easier production and lower cost.\n\n$LLY", "quoted_text": null, "parent_author": "rebound_capital", "ret_m1d": 0.003981968312134931, "ret_signed_m1d": 0.003981968312134931, "alpha_spy_m1d": -0.001113793166840793, "alpha_c_m1d": -0.001113793166840793, "bench_spy_m1d": 0.005095761478975724, "bench_c_m1d": 0.005095761478975724, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.025563000725292828, "ret_signed_p1d": -0.025563000725292828, "alpha_spy_p1d": -0.03322266117033623, "alpha_c_p1d": -0.03322266117033623, "bench_spy_p1d": 0.007659660445043404, "bench_c_p1d": 0.007659660445043404, "ret_p1w": -0.16518050385942773, "ret_signed_p1w": -0.16518050385942773, "alpha_spy_p1w": -0.18862126216817032, "alpha_c_p1w": -0.18862126216817032, "bench_spy_p1w": 0.023440758308742593, "bench_c_p1w": 0.023440758308742593, "ret_p1m": -0.0345967402429338, "ret_signed_p1m": -0.0345967402429338, "alpha_spy_p1m": -0.059709486938363754, "alpha_c_p1m": -0.059709486938363754, "bench_spy_p1m": 0.025112746695429955, "bench_c_p1m": 0.025112746695429955, "ret_p3m": 0.12899699498618666, "ret_signed_p3m": 0.12899699498618666, "alpha_spy_p3m": 0.03985114185936989, "alpha_c_p3m": 0.03985114185936989, "bench_spy_p3m": 0.08914585312681678, "bench_c_p3m": 0.08914585312681678, "ret_p6m": 0.3590371180115133, "ret_signed_p6m": 0.3590371180115133, "alpha_spy_p6m": 0.25080137138330083, "alpha_c_p6m": 0.25080137138330083, "bench_spy_p6m": 0.10823574662821245, "bench_c_p6m": 0.10823574662821245, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.0345967402429338, "alpha_spy_stated": -0.059709486938363754, "alpha_c_stated": -0.059709486938363754, "price_path": [-0.0209, -0.0429, -0.0156, -0.028, -0.0677, -0.0446, -0.0112, -0.0142, -0.0247, -0.0535, -0.0663, -0.0682, -0.0682, -0.0532, -0.0608, -0.0566, -0.0369, -0.0246, -0.0198, -0.0001, -0.0004, 0.0051, 0.0101, 0.0538, 0.0557, 0.0602, 0.0697, 0.0544, 0.033, 0.0249, 0.0249, -0.0042, 0.0061, 0.0158, 0.0344, 0.0381, 0.0124, 0.0177, 0.013, 0.0174, 0.0192, 0.0192, 0.009, 0.0153, 0.0274, 0.0322, 0.0353, 0.0436, 0.0076, 0.0311, -0.0058, 0.0075, -0.0049, 0.0137, 0.043, 0.0515, 0.061, 0.055, -0.0039, -0.0077, -0.0338, -0.0047, 0.004, 0.0, -0.0256, -0.1633, -0.1832, -0.1707, -0.1652, -0.1377, -0.1064, -0.0825, -0.0866, -0.0799, -0.077, -0.0712, -0.0688, -0.0902, -0.037, -0.0394, -0.0423, -0.0415, -0.0415, -0.0381, -0.0346, -0.0279, -0.0485, -0.0335, -0.0179, -0.0126, -0.0105, -0.0116, -0.021, 0.0006, -0.0054, -0.0018, -0.0161, -0.0122, -0.0226, -0.0293, -0.065, -0.052, -0.0494, -0.0017, 0.08, 0.0727, 0.0989, 0.1057, 0.1038, 0.1066, 0.1192, 0.0906, 0.0721, 0.0629, 0.0815, 0.0721, 0.0505, 0.0585, 0.0462, 0.063, 0.0743, 0.08, 0.0813, 0.073, 0.0645, 0.105, 0.129, 0.1731, 0.1866, 0.2114, 0.2266, 0.2095, 0.2648, 0.2935, 0.3317, 0.3384, 0.3435, 0.3388, 0.3497, 0.3754, 0.3671, 0.3886, 0.4023, 0.4544, 0.4471, 0.4471, 0.4093, 0.3862, 0.3708, 0.3543, 0.3293, 0.3239, 0.3072, 0.2871, 0.302, 0.3226, 0.3464, 0.3918, 0.3815, 0.3651, 0.3849, 0.404, 0.4106, 0.4042, 0.4112, 0.4122, 0.4135, 0.4149, 0.4082, 0.4157, 0.3648, 0.3943, 0.452, 0.422, 0.3936, 0.4165, 0.4115, 0.4064, 0.3536, 0.3607, 0.3607, 0.3645, 0.4132, 0.4249, 0.3946, 0.3926, 0.3621, 0.3415, 0.342, 0.359]}
{"unit_id": "reply:1952797472188973103", "ticker_idx": 0, "ts": "2025-08-05T18:22:53+00:00", "symbol": "NVO", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "I think $NVO comes out on top", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish NVO; expects it to win the legal/competitive battle over compounded semaglutide.", "resolved_tickers": ["NVO"], "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": "Drug Manufacturers - General", "unit_kind": "reply_other", "lang": "en", "tweet_text": "@mvcinvesting Looks like a snipe at $HIMS. Either way, I think $NVO comes out on top:\n\nhttps://t.co/TtHpacqCRk", "reply_text": null, "parent_text": "🚨 JUST IN: Novo Nordisk expands legal action to protect US patients from unsafe, non-FDA-approved compounded semaglutide.\n\n$NVO $HIMS\n\n- The company has filed more than 130 lawsuits across 40 states, resulting in 44 permanent injunctions to stop unsafe, illegal marketing and https://t.co/ezPlQ9yxxD", "quoted_text": null, "parent_author": "mvcinvesting", "ret_m1d": 0.03367224022824189, "ret_signed_m1d": 0.03367224022824189, "alpha_spy_m1d": 0.028576478749266165, "alpha_c_m1d": 0.028576478749266165, "bench_spy_m1d": 0.005095761478975724, "bench_c_m1d": 0.005095761478975724, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.03896651535286433, "ret_signed_p1d": -0.03896651535286433, "alpha_spy_p1d": -0.04662617579790773, "alpha_c_p1d": -0.04662617579790773, "bench_spy_p1d": 0.007659660445043404, "bench_c_p1d": 0.007659660445043404, "ret_p1w": 0.05421423436060091, "ret_signed_p1w": 0.05421423436060091, "alpha_spy_p1w": 0.030773476051858317, "alpha_c_p1w": 0.030773476051858317, "bench_spy_p1w": 0.023440758308742593, "bench_c_p1w": 0.023440758308742593, "ret_p1m": 0.21514979795419364, "ret_signed_p1m": 0.21514979795419364, "alpha_spy_p1m": 0.1900370512587637, "alpha_c_p1m": 0.1900370512587637, "bench_spy_p1m": 0.025112746695429955, "bench_c_p1m": 0.025112746695429955, "ret_p3m": 0.059240543550773905, "ret_signed_p3m": 0.059240543550773905, "alpha_spy_p3m": -0.02990530957604287, "alpha_c_p3m": -0.02990530957604287, "bench_spy_p3m": 0.08914585312681678, "bench_c_p3m": 0.08914585312681678, "ret_p6m": 0.2727590861751852, "ret_signed_p6m": 0.2727590861751852, "alpha_spy_p6m": 0.16452333954697274, "alpha_c_p6m": 0.16452333954697274, "bench_spy_p6m": 0.10823574662821245, "bench_c_p6m": 0.10823574662821245, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.21514979795419364, "alpha_spy_stated": 0.1900370512587637, "alpha_c_stated": 0.1900370512587637, "price_path": [0.3734, 0.3928, 0.4346, 0.385, 0.364, 0.4009, 0.3632, 0.4193, 0.4443, 0.4443, 0.4437, 0.4263, 0.4263, 0.4917, 0.4528, 0.471, 0.5142, 0.5424, 0.5017, 0.5256, 0.5385, 0.5805, 0.5981, 0.68, 0.6673, 0.7164, 0.6906, 0.6311, 0.5743, 0.5673, 0.5673, 0.5623, 0.4765, 0.4979, 0.4263, 0.4337, 0.4509, 0.4617, 0.4786, 0.4786, 0.4648, 0.4648, 0.468, 0.4748, 0.4759, 0.5038, 0.4598, 0.46, 0.4235, 0.4197, 0.3827, 0.3619, 0.3748, 0.4142, 0.4831, 0.4979, 0.5184, 0.4612, 0.1423, 0.0595, -0.0032, 0.0205, 0.0337, 0.0, -0.039, 0.0326, 0.0817, 0.0561, 0.0542, 0.0779, 0.079, 0.1099, 0.1511, 0.1732, 0.1629, 0.1875, 0.2203, 0.2066, 0.1852, 0.2087, 0.2017, 0.2092, 0.2092, 0.2074, 0.2151, 0.2023, 0.1828, 0.1625, 0.1629, 0.1644, 0.1629, 0.1751, 0.1912, 0.225, 0.2464, 0.3246, 0.3149, 0.3002, 0.2751, 0.258, 0.2002, 0.1909, 0.1886, 0.1884, 0.2672, 0.258, 0.277, 0.2775, 0.264, 0.2766, 0.2567, 0.2192, 0.2314, 0.2134, 0.2147, 0.2012, 0.1644, 0.1937, 0.1732, 0.1432, 0.14, 0.1342, 0.1327, 0.1147, 0.1001, 0.0717, 0.0592, 0.0517, 0.0333, 0.0378, -0.0039, -0.0217, -0.0161, 0.0526, 0.0764, 0.0528, 0.0335, 0.0378, 0.0183, 0.0494, 0.0194, 0.02, -0.0369, 0.0078, 0.0432, 0.0432, 0.0569, 0.0372, 0.0158, 0.0188, 0.0278, 0.025, 0.0016, -0.0071, 0.0505, 0.077, 0.0747, 0.0787, 0.0485, 0.023, 0.0196, 0.0299, 0.0301, 0.1053, 0.1256, 0.1222, 0.1023, 0.0969, 0.0897, 0.122, 0.1802, 0.2049, 0.2115, 0.228, 0.2595, 0.282, 0.2773, 0.2616, 0.2233, 0.3349, 0.3349, 0.2995, 0.2704, 0.3327, 0.3334, 0.3702, 0.3469, 0.292, 0.2706, 0.2728]}
{"unit_id": "orig:1953195626361176511", "ticker_idx": 0, "ts": "2025-08-06T20:45:00+00:00", "symbol": "AMD", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "does the latest data change it? No - at least till the next quarter. The MI350 series began deployment in data centers in June. Thus, the performance and results haven't been realized yet.", "tweet_type": "analysis", "timeline": "quarters", "summary": "Maintains buy rating on AMD; data-center weakness is temporary as MI350 deployment only began in June, with results expected next quarter.", "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": "original", "lang": "en", "tweet_text": "Let’s talk about $AMD AMD.\n\nAMD stock is down 10% in 5 days - after the earnings.\n\nWhile they had a revenue beat, the all-important data center revenue dropped by 13% QoQ and was only up 14% YoY\nSince my thesis for the AMD buy rating was based on expected growth in data center revenue due to their new MI350 chips, does the latest data change it?\n\nNo - at least till the next quarter.\n\nThe MI350 series began deployment in data centers in June. Thus, the performance and results haven't been realized yet.\nComing to the numbers, revenue went up 2.7% QoQ and 32% YoY. Net profit was up 23% QoQ and 229% YoY!\n\nAll segments did well mostly, but client and gaming did exceptionally well - 69% and 362% respectively.\n\nThe guidance is positive too. $AMD expects the revenue to increase 28% YoY and gross margin by 54% YoY.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.053828301089551944, "ret_signed_m1d": -0.053828301089551944, "alpha_spy_m1d": -0.054666542056305056, "alpha_c_m1d": -0.038370820203197376, "bench_spy_m1d": 0.0008382409667531121, "bench_c_m1d": -0.015457480886354569, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.002088170667614575, "ret_signed_p1d": 0.002088170667614575, "alpha_spy_p1d": -0.005709285796172026, "alpha_c_p1d": -0.006190211625063835, "bench_spy_p1d": 0.007797456463786601, "bench_c_p1d": 0.00827838229267841, "ret_p1w": 0.049593986974799886, "ret_signed_p1w": 0.049593986974799886, "alpha_spy_p1w": 0.029507047292230526, "alpha_c_p1w": 0.012495843569697573, "bench_spy_p1w": 0.02008693968256936, "bench_c_p1w": 0.03709814340510231, "ret_p1m": -0.12331783793218265, "ret_signed_p1m": -0.12331783793218265, "alpha_spy_p1m": -0.14702664621667383, "alpha_c_p1m": -0.1307375297058202, "bench_spy_p1m": 0.02370880828449118, "bench_c_p1m": 0.007419691773637549, "ret_p3m": 0.45040610153326055, "ret_signed_p3m": 0.45040610153326055, "alpha_spy_p3m": 0.3794499016735009, "alpha_c_p3m": 0.23867201041553376, "bench_spy_p3m": 0.07095619985975965, "bench_c_p3m": 0.21173409111772679, "ret_p6m": 0.40435040128669475, "ret_signed_p6m": 0.40435040128669475, "alpha_spy_p6m": 0.3074982362277954, "alpha_c_p6m": 0.034065194265622045, "bench_spy_p6m": 0.09685216505889938, "bench_c_p6m": 0.3702852070210727, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 63, "stated_label": "p3m", "ret_signed_stated": 0.45040610153326055, "alpha_spy_stated": 0.3794499016735009, "alpha_c_stated": 0.23867201041553376, "price_path": [-0.3729, -0.3477, -0.3172, -0.333, -0.3204, -0.3345, -0.3416, -0.35, -0.3578, -0.3602, -0.3602, -0.3355, -0.3454, -0.3444, -0.3577, -0.3351, -0.3195, -0.3122, -0.3289, -0.326, -0.2939, -0.2852, -0.2973, -0.3126, -0.3262, -0.2669, -0.2628, -0.2646, -0.2646, -0.2561, -0.2484, -0.197, -0.1682, -0.1666, -0.1658, -0.1769, -0.2105, -0.1965, -0.2001, -0.2001, -0.2181, -0.2006, -0.1972, -0.1638, -0.1507, -0.1517, -0.0974, -0.0715, -0.0695, -0.0894, -0.0893, -0.1026, -0.0798, -0.0596, -0.0344, 0.0073, 0.0292, 0.0412, 0.0227, -0.0041, 0.0254, 0.0111, -0.0538, 0.0, 0.0021, -0.0007, 0.0148, 0.0697, 0.0496, 0.0296, 0.0217, -0.0339, -0.0418, -0.0504, -0.0269, -0.0524, -0.0335, -0.0306, -0.0222, -0.0567, -0.0567, -0.0585, -0.0596, -0.0615, -0.1233, -0.1218, -0.0962, -0.0746, -0.097, -0.0802, -0.0652, -0.0693, -0.0768, -0.084, -0.0871, -0.0731, -0.0667, -0.0668, -0.0646, -0.0751, -0.064, -0.0615, -0.0487, -0.0155, -0.0448, 0.1816, 0.2269, 0.3664, 0.3509, 0.2465, 0.2553, 0.265, 0.384, 0.3606, 0.352, 0.3954, 0.3807, 0.3354, 0.3631, 0.4671, 0.5062, 0.4966, 0.5332, 0.4782, 0.4856, 0.5061, 0.4504, 0.4868, 0.3788, 0.3546, 0.4152, 0.3777, 0.5017, 0.4383, 0.4316, 0.3951, 0.3358, 0.2967, 0.195, 0.182, 0.2474, 0.1956, 0.2427, 0.2427, 0.2618, 0.2747, 0.2485, 0.2622, 0.2528, 0.2643, 0.2825, 0.2855, 0.2843, 0.2844, 0.2226, 0.2041, 0.2133, 0.1491, 0.1662, 0.238, 0.2468, 0.2465, 0.2473, 0.247, 0.2506, 0.2491, 0.2422, 0.2962, 0.2824, 0.2433, 0.2182, 0.1872, 0.1785, 0.2047, 0.2817, 0.297, 0.322, 0.3447, 0.3447, 0.3452, 0.449, 0.4718, 0.5063, 0.4577, 0.4619, 0.466, 0.4628, 0.3731, 0.4285, 0.4044]}
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{"unit_id": "orig:1953945356279939535", "ticker_idx": 2, "ts": "2025-08-08T22:24:10+00:00", "symbol": "MRK", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Trump's Most Favored Nation (MFN) policy will crash the U.S. healthcare stocks", "tweet_type": "prediction", "timeline": "unspecified", "summary": "MFN drug pricing policy will crash US healthcare stocks by forcing Medicare to match lowest peer-nation drug prices, hitting NVO, LLY, MRK, BMY.", "resolved_tickers": ["MRK"], "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": "Drug Manufacturers - General", "unit_kind": "original", "lang": "en", "tweet_text": "Trump's Most Favored Nation (MFN) policy will crash the U.S. healthcare stocks. \n\nMedicare will be forced to pay the lowest drug price paid by peer nations.\n\nThe U.S. drug prices for many medications are 4–5 times those in peer-developed markets:\n\n$NVO $LLY $MRK $BMY https://t.co/t8qu1xolkE", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.008247008698323288, "ret_signed_m1d": -0.008247008698323288, "alpha_spy_m1d": -0.006265589092400381, "alpha_c_m1d": -0.006265589092400381, "bench_spy_m1d": 0.0019814196059229072, "bench_c_m1d": 0.0019814196059229072, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0033737762856778097, "ret_signed_p1d": -0.0033737762856778097, "alpha_spy_p1d": 0.007272399602625157, "alpha_c_p1d": 0.007272399602625157, "bench_spy_p1d": 0.010646175888302967, "bench_c_p1d": 0.010646175888302967, "ret_p1w": 0.05235535297463234, "ret_signed_p1w": -0.05235535297463234, "alpha_spy_p1w": -0.04075010323162598, "alpha_c_p1w": -0.04075010323162598, "bench_spy_p1w": 0.011605249743006363, "bench_c_p1w": 0.011605249743006363, "ret_p1m": 0.05722848686847848, "ret_signed_p1m": -0.05722848686847848, "alpha_spy_p1m": -0.03456821997946746, "alpha_c_p1m": -0.03456821997946746, "bench_spy_p1m": 0.022660266889011016, "bench_c_p1m": 0.022660266889011016, "ret_p3m": 0.08243590095983921, "ret_signed_p3m": -0.08243590095983921, "alpha_spy_p3m": -0.025434327022892056, "alpha_c_p3m": -0.025434327022892056, "bench_spy_p3m": 0.05700157393694716, "bench_c_p3m": 0.05700157393694716, "ret_p6m": 0.5240098688251742, "ret_signed_p6m": -0.5240098688251742, "alpha_spy_p6m": -0.45232387754330405, "alpha_c_p6m": -0.45232387754330405, "bench_spy_p6m": 0.07168599128187014, "bench_c_p6m": 0.07168599128187014, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.05722848686847848, "alpha_spy_stated": -0.03456821997946746, "alpha_c_stated": -0.03456821997946746, "price_path": [-0.0911, -0.0746, -0.059, -0.0446, -0.0354, -0.0476, -0.037, -0.0402, -0.0402, -0.0401, -0.0577, -0.0548, -0.0494, -0.0567, -0.0457, -0.0317, -0.0397, -0.023, -0.0186, 0.0064, -0.0063, 0.0122, 0.0109, 0.0116, -0.0219, -0.0092, -0.0092, -0.0121, 0.0016, 0.0036, -0.0045, -0.015, -0.0116, -0.0109, 0.0222, 0.0295, 0.0112, 0.0112, 0.0109, 0.0167, 0.046, 0.0499, 0.0416, 0.0455, 0.0186, 0.03, 0.0186, -0.0009, -0.009, 0.0197, 0.0494, 0.051, 0.0585, 0.0504, 0.0325, 0.0215, -0.0239, -0.0092, -0.0021, 0.0095, -0.0074, 0.0042, 0.0082, 0.0, 0.0034, 0.0335, 0.0341, 0.0522, 0.0524, 0.0612, 0.0579, 0.0756, 0.0917, 0.066, 0.062, 0.0505, 0.0397, 0.0511, 0.0511, 0.0681, 0.0519, 0.0502, 0.0585, 0.0507, 0.0572, 0.05, 0.064, 0.0347, 0.0224, 0.0233, 0.0239, 0.0288, 0.0286, 0.0145, 0.009, 0.0053, -0.0208, -0.0087, -0.0084, 0.0591, 0.1373, 0.1295, 0.1255, 0.1205, 0.1055, 0.0903, 0.1041, 0.0851, 0.0814, 0.0688, 0.0614, 0.059, 0.0699, 0.0892, 0.1057, 0.1055, 0.1001, 0.104, 0.1104, 0.0982, 0.0925, 0.0887, 0.085, 0.0409, 0.0582, 0.0649, 0.0824, 0.0887, 0.0947, 0.1477, 0.154, 0.1727, 0.1725, 0.1718, 0.2168, 0.1994, 0.1984, 0.2336, 0.2669, 0.3333, 0.3203, 0.3203, 0.3228, 0.285, 0.2749, 0.2905, 0.2731, 0.2583, 0.2484, 0.2226, 0.2318, 0.2494, 0.2657, 0.276, 0.2506, 0.2622, 0.2814, 0.2865, 0.3327, 0.3368, 0.3547, 0.3589, 0.3569, 0.3498, 0.3396, 0.3547, 0.3673, 0.3855, 0.3821, 0.4125, 0.4067, 0.3896, 0.3778, 0.4128, 0.4123, 0.385, 0.385, 0.3929, 0.4141, 0.3895, 0.3768, 0.3668, 0.3735, 0.3605, 0.3788, 0.4034, 0.4428, 0.4742, 0.5059, 0.524]}
{"unit_id": "orig:1953945356279939535", "ticker_idx": 3, "ts": "2025-08-08T22:24:10+00:00", "symbol": "BMY", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Trump's Most Favored Nation (MFN) policy will crash the U.S. healthcare stocks", "tweet_type": "prediction", "timeline": "unspecified", "summary": "MFN drug pricing policy will crash US healthcare stocks by forcing Medicare to match lowest peer-nation drug prices, hitting NVO, LLY, MRK, BMY.", "resolved_tickers": ["BMY"], "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": "Drug Manufacturers - General", "unit_kind": "original", "lang": "en", "tweet_text": "Trump's Most Favored Nation (MFN) policy will crash the U.S. healthcare stocks. \n\nMedicare will be forced to pay the lowest drug price paid by peer nations.\n\nThe U.S. drug prices for many medications are 4–5 times those in peer-developed markets:\n\n$NVO $LLY $MRK $BMY https://t.co/t8qu1xolkE", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.00043551172972522423, "ret_signed_m1d": -0.00043551172972522423, "alpha_spy_m1d": 0.001545907876197683, "alpha_c_m1d": 0.001545907876197683, "bench_spy_m1d": 0.0019814196059229072, "bench_c_m1d": 0.0019814196059229072, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.013498884022709934, "ret_signed_p1d": -0.013498884022709934, "alpha_spy_p1d": -0.002852708134406967, "alpha_c_p1d": -0.002852708134406967, "bench_spy_p1d": 0.010646175888302967, "bench_c_p1d": 0.010646175888302967, "ret_p1w": 0.04920525134190967, "ret_signed_p1w": -0.04920525134190967, "alpha_spy_p1w": -0.03760000159890331, "alpha_c_p1w": -0.03760000159890331, "bench_spy_p1w": 0.011605249743006363, "bench_c_p1w": 0.011605249743006363, "ret_p1m": 0.02830395895654836, "ret_signed_p1m": -0.02830395895654836, "alpha_spy_p1m": -0.0056436920675373425, "alpha_c_p1m": -0.0056436920675373425, "bench_spy_p1m": 0.022660266889011016, "bench_c_p1m": 0.022660266889011016, "ret_p3m": 0.029194261986642767, "ret_signed_p3m": -0.029194261986642767, "alpha_spy_p3m": 0.027807311950304392, "alpha_c_p3m": 0.027807311950304392, "bench_spy_p3m": 0.05700157393694716, "bench_c_p3m": 0.05700157393694716, "ret_p6m": 0.32922078861018056, "ret_signed_p6m": -0.32922078861018056, "alpha_spy_p6m": -0.2575347973283104, "alpha_c_p6m": -0.2575347973283104, "bench_spy_p6m": 0.07168599128187014, "bench_c_p6m": 0.07168599128187014, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.02830395895654836, "alpha_spy_stated": -0.0056436920675373425, "alpha_c_stated": -0.0056436920675373425, "price_path": [-0.0519, -0.0156, 0.0046, 0.0147, 0.0287, 0.01, 0.0106, 0.0068, 0.0068, 0.0076, 0.0093, 0.0282, 0.0375, 0.0484, 0.0334, 0.0304, 0.028, 0.0403, 0.053, 0.0738, 0.0779, 0.0893, 0.0691, 0.0456, 0.0149, 0.0065, 0.0065, 0.007, 0.0083, 0.0106, 0.0031, 0.0025, -0.004, -0.0053, 0.0209, 0.0235, 0.0216, 0.0216, 0.0122, 0.0242, 0.0377, 0.0564, 0.0202, 0.0307, 0.0109, 0.027, 0.0464, 0.0311, 0.0165, 0.0455, 0.0664, 0.0655, 0.0544, 0.0344, 0.0202, 0.0011, -0.057, -0.037, -0.0115, -0.0017, -0.0242, -0.0124, 0.0004, 0.0, 0.0135, 0.0418, 0.0409, 0.0546, 0.0492, 0.0525, 0.0507, 0.0544, 0.0433, 0.0263, 0.0279, 0.037, 0.0207, 0.0272, 0.0272, 0.0322, 0.0342, 0.0165, 0.0263, 0.0172, 0.0283, 0.0266, 0.0351, 0.0059, 0.0091, 0.0089, 0.0048, -0.0072, -0.0198, -0.0207, -0.0222, -0.0385, -0.0549, -0.0394, -0.0388, -0.0181, 0.0327, -0.0044, 0.0031, -0.0037, -0.0143, -0.0169, -0.0138, -0.0297, -0.039, -0.0333, -0.0375, -0.0423, -0.037, -0.0379, -0.0169, -0.0202, -0.0326, -0.0326, -0.0423, -0.0549, -0.0598, 0.0069, 0.0168, 0.0157, 0.0062, 0.0257, 0.0292, 0.0305, 0.0431, 0.0753, 0.0833, 0.0733, 0.0296, 0.0332, 0.0387, 0.0107, 0.014, 0.0208, 0.0541, 0.0826, 0.087, 0.087, 0.0859, 0.0855, 0.065, 0.1248, 0.1466, 0.151, 0.1404, 0.1179, 0.1303, 0.1301, 0.1568, 0.1983, 0.1969, 0.1819, 0.1771, 0.1961, 0.2064, 0.198, 0.2075, 0.206, 0.1943, 0.1965, 0.1905, 0.1939, 0.185, 0.2153, 0.2667, 0.2484, 0.2475, 0.2455, 0.2488, 0.2734, 0.2645, 0.2341, 0.2341, 0.2109, 0.2171, 0.2269, 0.2205, 0.2193, 0.2408, 0.2198, 0.2122, 0.2294, 0.2482, 0.2504, 0.2868, 0.3292]}
{"unit_id": "orig:1955336805706035357", "ticker_idx": 0, "ts": "2025-08-12T18:33:17+00:00", "symbol": "UNH", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "low P/E ratio (11x) and it starts to sense", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish UNH on scale, pricing power, market dominance, insider buying, and low 11x P/E.", "resolved_tickers": ["UNH"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLV", "bench_c_reason": "industry='Healthcare Plans'", "bench_c_industry": "Healthcare Plans", "unit_kind": "original", "lang": "en", "tweet_text": "Institutional investors currently own 88% of $UNH Stock.\n\nThe purchasing from several funds is heating up again.\n\nEven insider buying is spiking, with CEO Stephen J. Hemsley buying close $25M worth of UNH stocks.\n\nThis shouldn’t come as a surprise when you see UnitedHealth’s scale, pricing power, and market dominance.\n\nAdd to that the low P/E ratio (11x) and it starts to sense.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.03517224339440406, "ret_signed_m1d": -0.03517224339440406, "alpha_spy_m1d": -0.02463821462914839, "alpha_c_m1d": -0.028311951690587867, "bench_spy_m1d": -0.010534028765255665, "bench_c_m1d": -0.00686029170381619, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.039148254355687584, "ret_signed_p1d": 0.039148254355687584, "alpha_spy_p1d": 0.03572521831889297, "alpha_c_p1d": 0.023141064836253555, "bench_spy_p1d": 0.0034230360367946133, "bench_c_p1d": 0.01600718951943403, "ret_p1w": 0.16313031498715946, "ret_signed_p1w": 0.16313031498715946, "alpha_spy_p1w": 0.16761159333542186, "alpha_c_p1w": 0.12067283707985488, "bench_spy_p1w": -0.004481278348262396, "bench_c_p1w": 0.042457477907304586, "ret_p1m": 0.3257636585530208, "ret_signed_p1m": 0.3257636585530208, "alpha_spy_p1m": 0.3109510507879747, "alpha_c_p1m": 0.2789612503385641, "bench_spy_p1m": 0.014812607765046115, "bench_c_p1m": 0.04680240821445669, "ret_p3m": 0.24729680071278293, "ret_signed_p3m": 0.24729680071278293, "alpha_spy_p3m": 0.20039998754790678, "alpha_c_p3m": 0.12824547361260707, "bench_spy_p3m": 0.04689681316487615, "bench_c_p3m": 0.11905132710017585, "ret_p6m": 0.07148044713651447, "ret_signed_p6m": 0.07148044713651447, "alpha_spy_p6m": -0.009259859662536396, "alpha_c_p6m": -0.14130954131092954, "bench_spy_p6m": 0.08074030679905086, "bench_c_p6m": 0.212789988447444, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.3257636585530208, "alpha_spy_stated": 0.3109510507879747, "alpha_c_stated": 0.2789612503385641, "price_path": [0.0415, 0.1081, 0.1992, 0.2208, 0.1501, 0.1262, 0.122, 0.122, 0.1199, 0.1317, 0.1319, 0.1461, 0.1568, 0.1435, 0.1403, 0.123, 0.1511, 0.1509, 0.1532, 0.1789, 0.2091, 0.1902, 0.1762, 0.1808, 0.1744, 0.1744, 0.1546, 0.1495, 0.1684, 0.1546, 0.1569, 0.1817, 0.1927, 0.2469, 0.1758, 0.1796, 0.1796, 0.1611, 0.1764, 0.158, 0.145, 0.1626, 0.1491, 0.1152, 0.1182, 0.1013, 0.0806, 0.0786, 0.0901, 0.1183, 0.065, 0.0745, 0.0786, -0.0019, 0.0171, -0.0459, -0.091, -0.0787, -0.0404, -0.0604, -0.0646, -0.0408, -0.0352, 0.0, 0.0391, 0.0379, 0.1623, 0.1794, 0.1631, 0.1463, 0.1597, 0.1753, 0.1655, 0.1486, 0.1618, 0.1557, 0.1847, 0.1847, 0.1806, 0.177, 0.1866, 0.2058, 0.2243, 0.3301, 0.3258, 0.3519, 0.3477, 0.3384, 0.3072, 0.3142, 0.2881, 0.2953, 0.313, 0.3376, 0.3535, 0.3294, 0.3237, 0.328, 0.3284, 0.34, 0.3608, 0.3858, 0.3803, 0.3991, 0.4232, 0.4146, 0.3638, 0.3798, 0.3847, 0.3894, 0.3722, 0.3719, 0.4022, 0.4056, 0.3907, 0.3867, 0.3946, 0.408, 0.4151, 0.3668, 0.3263, 0.314, 0.2842, 0.2728, 0.2609, 0.2371, 0.2473, 0.2372, 0.2598, 0.3044, 0.2793, 0.2383, 0.2331, 0.2064, 0.1891, 0.1986, 0.231, 0.2274, 0.2553, 0.2685, 0.2685, 0.2687, 0.2434, 0.2486, 0.3069, 0.283, 0.2731, 0.2534, 0.2533, 0.2718, 0.3042, 0.324, 0.3211, 0.2944, 0.2844, 0.2709, 0.2681, 0.2594, 0.258, 0.2687, 0.2852, 0.274, 0.2865, 0.2785, 0.3029, 0.3247, 0.3516, 0.3234, 0.3434, 0.3323, 0.3188, 0.2933, 0.2973, 0.3128, 0.2821, 0.2821, 0.3108, 0.3469, 0.3729, 0.3798, 0.3619, 0.0949, 0.1388, 0.1321, 0.1113, 0.1061, 0.1006, 0.0687, 0.0401, 0.0715]}
{"unit_id": "orig:1955711381191450874", "ticker_idx": 0, "ts": "2025-08-13T19:21:43+00:00", "symbol": "TTD", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Does that make it a good buy? ... the stock rebounded all times ... Trade Desk's customers from the largest categories like e-commerce, are competitors of Amazon, and most likely wouldn't want to share their data with Amazon", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Implicitly bullish TTD after 60% drawdown: Amazon threat overstated, Kokai AI driving 95% retention, historical drawdowns all reversed.", "resolved_tickers": ["TTD"], "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": "Advertising Agencies", "unit_kind": "original", "lang": "en", "tweet_text": "$TTD The Trade Desk is down 60%. Does that make it a good buy?\n\nFor context, TTD has been through several drawdowns over the years:\n\n1/ During the 2020 pandemic, it fell 46%\n2/ In early 2021, it fell 20% in just 2 days\n3/ In early 2022, the stock fell nearly 60% (!)\n\nThe drawdowns were justified through various specific reasons (full report link in comments), and therefore the stock rebounded all times.\n\nCurrently, it fell ~40% just after the earnings (due to weak guidance)\n\nAdditionally, investors feel Amazon poses a significant risk to the TTD’s growth model in the long run.\n\nBut this shouldn’t be a threat since Trade Desk’s customers from the largest categories like e-commerce, are competitors of Amazon, and most likely wouldn’t want to share their data with Amazon.\n\nThis, combined with Trade Desk’s proprietary AI solutions like Kokai are helping in boosting customer retention (95% gross retention)\n\nTo read more about TTD, and my recommendation, read the full report below:", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.020051511043955528, "ret_signed_m1d": -0.020051511043955528, "alpha_spy_m1d": -0.016640152211379156, "alpha_c_m1d": -0.016640152211379156, "bench_spy_m1d": -0.003411358832576372, "bench_c_m1d": -0.003411358832576372, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.06622520692416667, "ret_signed_p1d": -0.06622520692416667, "alpha_spy_p1d": -0.0663182204949615, "alpha_c_p1d": -0.0663182204949615, "bench_spy_p1d": 9.301357079483097e-05, "bench_c_p1d": 9.301357079483097e-05, "ret_p1w": -0.03366449246702563, "ret_signed_p1w": -0.03366449246702563, "alpha_spy_p1w": -0.023150992485015953, "alpha_c_p1w": -0.023150992485015953, "bench_spy_p1w": -0.010513499982009678, "bench_c_p1w": -0.010513499982009678, "ret_p1m": -0.1677703978934113, "ret_signed_p1m": -0.1677703978934113, "alpha_spy_p1m": -0.18752573392503136, "alpha_c_p1m": -0.18752573392503136, "bench_spy_p1m": 0.019755336031620052, "bench_c_p1m": 0.019755336031620052, "ret_p3m": -0.2041943002977934, "ret_signed_p3m": -0.2041943002977934, "alpha_spy_p3m": -0.26380011414357163, "alpha_c_p3m": -0.26380011414357163, "bench_spy_p3m": 0.05960581384577823, "bench_c_p3m": 0.05960581384577823, "ret_p6m": -0.5025754118483541, "ret_signed_p6m": -0.5025754118483541, "alpha_spy_p6m": -0.584822279051769, "alpha_c_p6m": -0.584822279051769, "bench_spy_p6m": 0.0822468672034149, "bench_c_p6m": 0.0822468672034149, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.1677703978934113, "alpha_spy_stated": -0.18752573392503136, "alpha_c_stated": -0.18752573392503136, "price_path": [0.4038, 0.404, 0.4176, 0.3699, 0.3674, 0.3593, 0.3593, 0.3992, 0.4154, 0.3775, 0.3837, 0.3755, 0.3687, 0.399, 0.3081, 0.3146, 0.3151, 0.3313, 0.3313, 0.2982, 0.2502, 0.2923, 0.2443, 0.2631, 0.2631, 0.2552, 0.2669, 0.3216, 0.284, 0.2513, 0.2754, 0.3243, 0.3519, 0.3536, 0.3688, 0.3688, 0.3532, 0.3618, 0.3913, 0.4137, 0.3867, 0.3876, 0.479, 0.4925, 0.4982, 0.4755, 0.4722, 0.5024, 0.5568, 0.5636, 0.5846, 0.6273, 0.555, 0.5898, 0.5997, 0.5835, 0.6512, 0.6133, 0.6479, 0.6249, -0.0024, -0.0218, -0.0201, 0.0, -0.0662, -0.0412, 0.0109, -0.0337, -0.0337, -0.0379, -0.0213, -0.0366, -0.0394, -0.0315, 0.0184, 0.0055, 0.0055, -0.0033, -0.0109, -0.0449, -0.0421, -0.0429, -0.0361, -0.1512, -0.1678, -0.1694, -0.1623, -0.1741, -0.1654, -0.1919, -0.1819, -0.151, -0.138, -0.1378, -0.1398, -0.1328, -0.0868, -0.0984, -0.0927, -0.064, -0.0517, -0.0224, -0.016, -0.0053, -0.005, -0.0368, -0.0568, -0.0668, -0.06, -0.082, -0.0806, -0.0343, -0.0081, -0.0086, -0.0042, -0.0434, -0.0138, -0.0495, -0.0809, -0.0992, -0.0751, -0.0964, -0.131, -0.1225, -0.1556, -0.209, -0.2042, -0.1869, -0.1944, -0.2114, -0.2287, -0.2603, -0.2555, -0.2607, -0.2945, -0.2706, -0.2815, -0.2809, -0.2805, -0.2805, -0.2723, -0.2719, -0.2651, -0.2897, -0.2761, -0.2632, -0.2761, -0.2752, -0.2785, -0.319, -0.3258, -0.3343, -0.326, -0.3162, -0.314, -0.3146, -0.314, -0.3113, -0.2987, -0.2953, -0.2938, -0.2987, -0.3017, -0.3068, -0.2621, -0.2689, -0.289, -0.3138, -0.314, -0.3212, -0.3168, -0.317, -0.3335, -0.3473, -0.3473, -0.3718, -0.3501, -0.3227, -0.3276, -0.378, -0.4078, -0.4137, -0.4251, -0.4421, -0.4527, -0.5, -0.4983, -0.5173, -0.5026, -0.5026]}
{"unit_id": "orig:1955744421598892165", "ticker_idx": 0, "ts": "2025-08-13T21:33:00+00:00", "symbol": "TTD", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "We're tracking 3 of these stocks in our rebound portfolio", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Long TTD, UNH, and FICO as rebound plays; all in portfolio despite steep YTD declines, supported by strong fundamentals.", "resolved_tickers": ["TTD"], "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": "Advertising Agencies", "unit_kind": "original", "lang": "en", "tweet_text": "The worst-performing stocks in the S&P 500 this year.\n\nWe’re tracking 3 of these stocks in our rebound portfolio:\n\na/ $TTD The Trade Desk: -61%\nThe balance sheet is very strong with $1.7 billion in cash & short-term investments with zero debt.\n\nLast month, the company reported a 25% YoY growth in revenue and margins expansion to 8%. The forward guidance projects continued growth for Q2’25.\nb/ $UNH UnitedHealth: -57%\nCompany fundamentals are still growing — Revenue went up 10% YoY and memberships increased by 780,000.\n\nStrong balance sheet with $79 billion in cash with $5.5 billion in free-cash-flow per quarter.\nc/ $FICO Fair Isaac Corp: -33%\nFICO’s dominance and decades-long relationships might mean that lenders might not be willing to risk their money for an additional $1.45 per application, to the competition.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.07092203325174617, "ret_signed_m1d": 0.07092203325174617, "alpha_spy_m1d": 0.07101503817182131, "alpha_c_m1d": 0.07101503817182131, "bench_spy_m1d": -9.300492007513483e-05, "bench_c_m1d": -9.300492007513483e-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": 0.0267927631072169, "ret_signed_p1d": 0.0267927631072169, "alpha_spy_p1d": 0.02913405671762581, "alpha_c_p1d": 0.02913405671762581, "bench_spy_p1d": -0.002341293610408912, "bench_c_p1d": -0.002341293610408912, "ret_p1w": 0.03033886852738621, "ret_signed_p1w": 0.03033886852738621, "alpha_spy_p1w": 0.04491365807026515, "alpha_c_p1w": 0.04491365807026515, "bench_spy_p1w": -0.014574789542878941, "bench_c_p1w": -0.014574789542878941, "ret_p1m": -0.11052003508980512, "ret_signed_p1m": -0.11052003508980512, "alpha_spy_p1m": -0.1298392237654037, "alpha_c_p1m": -0.1298392237654037, "bench_spy_p1m": 0.019319188675598564, "bench_c_p1m": 0.019319188675598564, "ret_p3m": -0.12923557477366765, "ret_signed_p3m": -0.12923557477366765, "alpha_spy_p3m": -0.19116833566107994, "alpha_c_p3m": -0.19116833566107994, "bench_spy_p3m": 0.061932760887412286, "bench_c_p3m": 0.061932760887412286, "ret_p6m": -0.44582348126608573, "ret_signed_p6m": -0.44582348126608573, "alpha_spy_p6m": -0.5251159166745514, "alpha_c_p6m": -0.5251159166745514, "bench_spy_p6m": 0.07929243540846564, "bench_c_p6m": 0.07929243540846564, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.11052003508980512, "alpha_spy_stated": -0.1298392237654037, "alpha_c_stated": -0.1298392237654037, "price_path": [0.5035, 0.5181, 0.4671, 0.4643, 0.4557, 0.4557, 0.4984, 0.5158, 0.4752, 0.4819, 0.473, 0.4657, 0.4982, 0.4009, 0.4078, 0.4084, 0.4257, 0.4257, 0.3903, 0.3388, 0.384, 0.3325, 0.3526, 0.3526, 0.3442, 0.3568, 0.4153, 0.3751, 0.34, 0.3658, 0.4182, 0.4478, 0.4496, 0.4659, 0.4659, 0.4492, 0.4584, 0.49, 0.514, 0.485, 0.486, 0.5839, 0.5983, 0.6044, 0.5802, 0.5766, 0.6089, 0.6673, 0.6745, 0.697, 0.7427, 0.6653, 0.7025, 0.7132, 0.6958, 0.7683, 0.7277, 0.7648, 0.7401, 0.0684, 0.0476, 0.0494, 0.0709, 0.0, 0.0268, 0.0825, 0.0349, 0.0349, 0.0303, 0.0481, 0.0317, 0.0288, 0.0372, 0.0906, 0.0768, 0.0768, 0.0674, 0.0593, 0.0229, 0.0258, 0.025, 0.0323, -0.091, -0.1087, -0.1105, -0.1028, -0.1155, -0.1062, -0.1346, -0.1239, -0.0908, -0.0768, -0.0766, -0.0788, -0.0713, -0.0221, -0.0345, -0.0284, 0.0024, 0.0156, 0.0469, 0.0538, 0.0652, 0.0656, 0.0315, 0.0101, -0.0006, 0.0067, -0.0169, -0.0154, 0.0342, 0.0623, 0.0617, 0.0664, 0.0244, 0.0561, 0.0179, -0.0158, -0.0353, -0.0095, -0.0323, -0.0693, -0.0603, -0.0957, -0.1529, -0.1478, -0.1292, -0.1373, -0.1554, -0.174, -0.2078, -0.2027, -0.2082, -0.2445, -0.2189, -0.2305, -0.2299, -0.2295, -0.2295, -0.2206, -0.2203, -0.213, -0.2394, -0.2248, -0.211, -0.2248, -0.2238, -0.2273, -0.2707, -0.278, -0.287, -0.2782, -0.2677, -0.2654, -0.266, -0.2654, -0.2624, -0.249, -0.2453, -0.2437, -0.249, -0.2522, -0.2577, -0.2098, -0.2171, -0.2386, -0.2652, -0.2654, -0.273, -0.2683, -0.2685, -0.2862, -0.301, -0.301, -0.3272, -0.304, -0.2746, -0.2799, -0.3339, -0.3658, -0.3721, -0.3844, -0.4025, -0.4139, -0.4645, -0.4628, -0.4831, -0.4673, -0.4673, -0.4458]}
{"unit_id": "orig:1955744421598892165", "ticker_idx": 1, "ts": "2025-08-13T21:33:00+00:00", "symbol": "UNH", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "We're tracking 3 of these stocks in our rebound portfolio", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Long TTD, UNH, and FICO as rebound plays; all in portfolio despite steep YTD declines, supported by strong fundamentals.", "resolved_tickers": ["UNH"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLV", "bench_c_reason": "industry='Healthcare Plans'", "bench_c_industry": "Healthcare Plans", "unit_kind": "original", "lang": "en", "tweet_text": "The worst-performing stocks in the S&P 500 this year.\n\nWe’re tracking 3 of these stocks in our rebound portfolio:\n\na/ $TTD The Trade Desk: -61%\nThe balance sheet is very strong with $1.7 billion in cash & short-term investments with zero debt.\n\nLast month, the company reported a 25% YoY growth in revenue and margins expansion to 8%. The forward guidance projects continued growth for Q2’25.\nb/ $UNH UnitedHealth: -57%\nCompany fundamentals are still growing — Revenue went up 10% YoY and memberships increased by 780,000.\n\nStrong balance sheet with $79 billion in cash with $5.5 billion in free-cash-flow per quarter.\nc/ $FICO Fair Isaac Corp: -33%\nFICO’s dominance and decades-long relationships might mean that lenders might not be willing to risk their money for an additional $1.45 per application, to the competition.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.0011787664606603965, "ret_signed_m1d": 0.0011787664606603965, "alpha_spy_m1d": 0.0012717713807355313, "alpha_c_m1d": 0.006180333361775037, "bench_spy_m1d": -9.300492007513483e-05, "bench_c_m1d": -0.00500156690111464, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.11978358618776097, "ret_signed_p1d": 0.11978358618776097, "alpha_spy_p1d": 0.12212487979816988, "alpha_c_p1d": 0.10298737975734706, "bench_spy_p1d": -0.002341293610408912, "bench_c_p1d": 0.016796206430413907, "ret_p1w": 0.1173526472673232, "ret_signed_p1w": 0.1173526472673232, "alpha_spy_p1w": 0.13192743681020214, "alpha_c_p1w": 0.09436069131115188, "bench_spy_p1w": -0.014574789542878941, "bench_c_p1w": 0.022991955956171317, "ret_p1m": 0.2984272418434508, "ret_signed_p1m": 0.2984272418434508, "alpha_spy_p1m": 0.27910805316785225, "alpha_c_p1m": 0.26744779884434644, "bench_spy_p1m": 0.019319188675598564, "bench_c_p1m": 0.03097944299910438, "ret_p3m": 0.2137312615605793, "ret_signed_p3m": 0.2137312615605793, "alpha_spy_p3m": 0.15179850067316702, "alpha_c_p3m": 0.08377373477955041, "bench_spy_p3m": 0.061932760887412286, "bench_c_p3m": 0.1299575267810289, "ret_p6m": 0.01953049707634058, "ret_signed_p6m": 0.01953049707634058, "alpha_spy_p6m": -0.059761938332125064, "alpha_c_p6m": -0.15025795736577763, "bench_spy_p6m": 0.07929243540846564, "bench_c_p6m": 0.1697884544421182, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.2984272418434508, "alpha_spy_stated": 0.27910805316785225, "alpha_c_stated": 0.26744779884434644, "price_path": [0.1553, 0.1762, 0.1081, 0.085, 0.081, 0.081, 0.0789, 0.0903, 0.0905, 0.1042, 0.1145, 0.1017, 0.0986, 0.082, 0.109, 0.1089, 0.1111, 0.1358, 0.1649, 0.1467, 0.1332, 0.1377, 0.1315, 0.1315, 0.1124, 0.1075, 0.1257, 0.1125, 0.1147, 0.1386, 0.1491, 0.2013, 0.1329, 0.1365, 0.1365, 0.1187, 0.1334, 0.1157, 0.1032, 0.1201, 0.1071, 0.0745, 0.0774, 0.0611, 0.0411, 0.0392, 0.0502, 0.0774, 0.0261, 0.0353, 0.0392, -0.0384, -0.0201, -0.0808, -0.1242, -0.1124, -0.0755, -0.0947, -0.0988, -0.0759, -0.0704, -0.0365, 0.0012, 0.0, 0.1198, 0.1363, 0.1206, 0.1044, 0.1174, 0.1323, 0.1229, 0.1066, 0.1193, 0.1134, 0.1414, 0.1414, 0.1374, 0.134, 0.1432, 0.1617, 0.1796, 0.2815, 0.2773, 0.3025, 0.2984, 0.2895, 0.2594, 0.2662, 0.241, 0.248, 0.2651, 0.2888, 0.304, 0.2809, 0.2754, 0.2794, 0.2799, 0.291, 0.3111, 0.3351, 0.3298, 0.3479, 0.3712, 0.3629, 0.314, 0.3294, 0.3341, 0.3386, 0.322, 0.3218, 0.351, 0.3543, 0.3399, 0.336, 0.3436, 0.3565, 0.3634, 0.3168, 0.2779, 0.266, 0.2372, 0.2263, 0.2148, 0.1919, 0.2017, 0.192, 0.2137, 0.2568, 0.2325, 0.193, 0.188, 0.1623, 0.1457, 0.1548, 0.186, 0.1826, 0.2094, 0.2221, 0.2221, 0.2223, 0.198, 0.2029, 0.2592, 0.2361, 0.2266, 0.2076, 0.2075, 0.2253, 0.2565, 0.2756, 0.2728, 0.2471, 0.2375, 0.2245, 0.2218, 0.2133, 0.212, 0.2224, 0.2382, 0.2275, 0.2395, 0.2318, 0.2553, 0.2763, 0.3022, 0.2751, 0.2943, 0.2836, 0.2706, 0.2461, 0.2499, 0.2648, 0.2352, 0.2352, 0.2629, 0.2976, 0.3227, 0.3294, 0.3122, 0.0549, 0.0971, 0.0907, 0.0707, 0.0657, 0.0604, 0.0296, 0.0021, 0.0323, 0.0288, 0.0195]}
{"unit_id": "orig:1955744421598892165", "ticker_idx": 2, "ts": "2025-08-13T21:33:00+00:00", "symbol": "FICO", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "We're tracking 3 of these stocks in our rebound portfolio", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Long TTD, UNH, and FICO as rebound plays; all in portfolio despite steep YTD declines, supported by strong fundamentals.", "resolved_tickers": ["FICO"], "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": "The worst-performing stocks in the S&P 500 this year.\n\nWe’re tracking 3 of these stocks in our rebound portfolio:\n\na/ $TTD The Trade Desk: -61%\nThe balance sheet is very strong with $1.7 billion in cash & short-term investments with zero debt.\n\nLast month, the company reported a 25% YoY growth in revenue and margins expansion to 8%. The forward guidance projects continued growth for Q2’25.\nb/ $UNH UnitedHealth: -57%\nCompany fundamentals are still growing — Revenue went up 10% YoY and memberships increased by 780,000.\n\nStrong balance sheet with $79 billion in cash with $5.5 billion in free-cash-flow per quarter.\nc/ $FICO Fair Isaac Corp: -33%\nFICO’s dominance and decades-long relationships might mean that lenders might not be willing to risk their money for an additional $1.45 per application, to the competition.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.01298000626196294, "ret_signed_m1d": 0.01298000626196294, "alpha_spy_m1d": 0.013073011182038075, "alpha_c_m1d": 0.013073011182038075, "bench_spy_m1d": -9.300492007513483e-05, "bench_c_m1d": -9.300492007513483e-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": 0.018950355377041594, "ret_signed_p1d": 0.018950355377041594, "alpha_spy_p1d": 0.021291648987450507, "alpha_c_p1d": 0.021291648987450507, "bench_spy_p1d": -0.002341293610408912, "bench_c_p1d": -0.002341293610408912, "ret_p1w": 0.03303032606935141, "ret_signed_p1w": 0.03303032606935141, "alpha_spy_p1w": 0.04760511561223035, "alpha_c_p1w": 0.04760511561223035, "bench_spy_p1w": -0.014574789542878941, "bench_c_p1w": -0.014574789542878941, "ret_p1m": 0.171349880831013, "ret_signed_p1m": 0.171349880831013, "alpha_spy_p1m": 0.15203069215541443, "alpha_c_p1m": 0.15203069215541443, "bench_spy_p1m": 0.019319188675598564, "bench_c_p1m": 0.019319188675598564, "ret_p3m": 0.36376660862482124, "ret_signed_p3m": 0.36376660862482124, "alpha_spy_p3m": 0.30183384773740896, "alpha_c_p3m": 0.30183384773740896, "bench_spy_p3m": 0.061932760887412286, "bench_c_p3m": 0.061932760887412286, "ret_p6m": 0.04741385656993535, "ret_signed_p6m": 0.04741385656993535, "alpha_spy_p6m": -0.03187857883853029, "alpha_c_p6m": -0.03187857883853029, "bench_spy_p6m": 0.07929243540846564, "bench_c_p6m": 0.07929243540846564, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.171349880831013, "alpha_spy_stated": 0.15203069215541443, "alpha_c_stated": 0.15203069215541443, "price_path": [0.6735, 0.5377, 0.2957, 0.2899, 0.2854, 0.2854, 0.1407, 0.2289, 0.2783, 0.3096, 0.3263, 0.3212, 0.3314, 0.3442, 0.3466, 0.3271, 0.3541, 0.3693, 0.3537, 0.3538, 0.3764, 0.348, 0.3379, 0.3379, 0.3692, 0.4272, 0.4615, 0.4364, 0.3775, 0.3779, 0.3867, 0.3983, 0.398, 0.4075, 0.4075, 0.4185, 0.2921, 0.2075, 0.2019, 0.1715, 0.1736, 0.1434, 0.1658, 0.1571, 0.1695, 0.1615, 0.1619, 0.1616, 0.1651, 0.1626, 0.1483, 0.1418, 0.159, 0.0899, 0.0477, 0.0325, 0.0189, 0.0572, 0.0117, 0.002, -0.0052, 0.0004, 0.013, 0.0, 0.019, 0.0242, 0.0506, 0.0197, 0.033, 0.0741, 0.0802, 0.0773, 0.0768, 0.1428, 0.1543, 0.1543, 0.1416, 0.1537, 0.1523, 0.1622, 0.1669, 0.1733, 0.161, 0.2112, 0.1713, 0.1798, 0.1785, 0.1773, 0.1547, 0.1206, 0.1675, 0.1643, 0.1707, 0.1746, 0.1522, 0.1572, 0.1353, 0.1476, 0.3539, 0.4039, 0.4036, 0.4259, 0.2859, 0.2963, 0.2633, 0.2517, 0.2514, 0.2416, 0.2291, 0.2259, 0.2293, 0.1879, 0.194, 0.2254, 0.2646, 0.2783, 0.2643, 0.1887, 0.2027, 0.259, 0.2521, 0.2184, 0.2359, 0.2705, 0.32, 0.3324, 0.3638, 0.3488, 0.3179, 0.321, 0.3354, 0.3086, 0.3171, 0.3052, 0.3566, 0.3263, 0.3731, 0.3634, 0.3634, 0.3699, 0.3418, 0.3494, 0.337, 0.3442, 0.3644, 0.3355, 0.3289, 0.3293, 0.3851, 0.3996, 0.3714, 0.3595, 0.3314, 0.3362, 0.3264, 0.322, 0.3092, 0.3132, 0.33, 0.344, 0.3244, 0.2825, 0.2466, 0.2544, 0.2138, 0.199, 0.2029, 0.2635, 0.2375, 0.2314, 0.2262, 0.1995, 0.1889, 0.1889, 0.1338, 0.1649, 0.1811, 0.1718, 0.1764, 0.1721, 0.1574, 0.1393, 0.11, 0.1007, 0.0075, 0.0521, 0.0297, 0.0552, 0.0414, 0.0474]}
{"unit_id": "thread:1957428106375098541", "ticker_idx": 0, "ts": "2025-08-18T13:03:22+00:00", "symbol": "NVO", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "this is just the beginning. The market still hasn't priced everything. Novo is going to take the lead again in the GLP-1 industry", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish NVO: FDA MASH approval for Wegovy opens major new market beyond weight loss; market hasn't fully priced the upside yet.", "resolved_tickers": ["NVO"], "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": "Drug Manufacturers - General", "unit_kind": "self_thread", "lang": "en", "tweet_text": "$NVO Novo Nordisk is up 10% pre-market!\n\nAnd this is just the beginning.\n\nThe market still hasn’t priced everything.\n\nNovo is going to take the lead again in the GLP-1 industry.\n\nHere’s why the stock is up, and why you should watch closely: https://t.co/tBnmJoxHPa\n\n---\n\n1/ FDA approval for MASH\n\nThis is a big step for $NVO.\n\nWegovy has been approved by the FDA to treat MASH (1 in 20 US adults suffer from this disease that affects the liver)\nThis makes Wegovy the first GLP-1 drug approved for treating MASH!\n\nResults (after 72 week trial):\n\n• 63% of the patients treated with Wegovy were achieved complete resolution of liver inflammation (steatohepatitis) (vs. 34% on placebo)\n\n• 37% of the patients showed improvement in their liver fibrosis (vs. 22% on placebo)\n\n• 33% achieved both resolution of steatohepatitis and fibrosis improvement through Wegovy\n\nThis is fascinating because this opens up a major market for $NVO Novo for Wegovy beyond its weight-loss applications.\n\nExpect the Wegovy subscriptions to have a massive turnaround.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.03579535371567666, "ret_signed_m1d": -0.03579535371567666, "alpha_spy_m1d": -0.036013017751764465, "alpha_c_m1d": -0.036013017751764465, "bench_spy_m1d": 0.0002176640360878057, "bench_c_m1d": 0.0002176640360878057, "ret_t0": 0.0, 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{"unit_id": "orig:1957474431703667017", "ticker_idx": 0, "ts": "2025-08-18T16:07:27+00:00", "symbol": "GOOG", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "This should put a rest to everyone saying $GOOG Google's AI is eating its own search business. This is simply not true.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish GOOG: AI-driven SEO shift is a win-win, not a threat — higher-conversion traffic + ability to charge premium ad rates.", "resolved_tickers": ["GOOG"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLC", "bench_c_reason": "industry='Internet Content & Information'", "bench_c_industry": "Internet Content & Information", "unit_kind": "original", "lang": "en", "tweet_text": "$GRPN Groupon CEO says their traditional SEO traffic is declining due to AI. $GOOG \nBut the overall effect is still positive.\n\nThis should put a rest to everyone saying $GOOG Google’s AI is eating its own search business\n\nThis is simply not true.\n\nSEO won’t die, it’ll just cater and optimize for a completely different algorithm\n\nHere’s what I think will happen:\n\nAs the CEO of Groupon described, they’ve begun optimizing to show up on LLM chatbots results now, to show up as sources for queries.\n\nAdditionally, the users that come in through these links have higher conversion rates than the traditional audiences.\n\nAnd this is a situation that 9/10 companies would pick, over higher traffic but lower conversions.\n\nThis is a win-win for both Google and the advertisers since Google should be able to charge a higher fee for a more concentrated user, and the advertiser would pay more for the same reason.\n\nAs for other LLMs like ChatGPT and Perplexity, they’re actually expanding search for Google instead of replacing it (see image 2)", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.00303492989556875, "ret_signed_m1d": 0.00303492989556875, "alpha_spy_m1d": 0.002817265859480944, "alpha_c_m1d": -0.0031023257555760075, "bench_spy_m1d": 0.0002176640360878057, "bench_c_m1d": 0.006137255651144757, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, 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0.5167093051458456, "alpha_spy_p6m": 0.4516113544110161, "alpha_c_p6m": 0.4750826015611467, "bench_spy_p6m": 0.06509795073482949, "bench_c_p6m": 0.04162670358469889, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.2318015440337864, "alpha_spy_stated": 0.20584158232116856, "alpha_c_stated": 0.16212647421982762, "price_path": [-0.1686, -0.1592, -0.1709, -0.1709, -0.1494, -0.1523, -0.1544, -0.1549, -0.167, -0.18, -0.1718, -0.1698, -0.1448, -0.1305, -0.1189, -0.1248, -0.1337, -0.1391, -0.129, -0.1325, -0.1484, -0.1484, -0.179, -0.1874, -0.1789, -0.1606, -0.1462, -0.1274, -0.1317, -0.134, -0.1201, -0.1162, -0.1162, -0.1308, -0.1426, -0.1304, -0.1253, -0.1125, -0.1051, -0.1037, -0.1004, -0.0959, -0.0898, -0.0643, -0.0596, -0.0626, -0.0543, -0.05, -0.0532, -0.0385, -0.0335, -0.0559, -0.0702, -0.0418, -0.0439, -0.0361, -0.0343, -0.0108, -0.013, 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{"unit_id": "orig:1957850171972415610", "ticker_idx": 0, "ts": "2025-08-19T17:00:30+00:00", "symbol": "NVO", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Novo kept these prices for the patients that purchase directly from them through channels like Novocare. This should enable them to keep more of their revenue, since they control most of the supply chain.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish NVO: direct-channel pricing preserves revenue, price cuts counter compounders and create a MFN-compatible middle ground.", "resolved_tickers": ["NVO"], "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": "Drug Manufacturers - General", "unit_kind": "original", "lang": "en", "tweet_text": "$NVO Novo Nordisk is now taking compounders head on. They’ve cut down the prices of Ozempic by 50% - down to $499 now. They also reduced the prices of Wegovy to $499.\n\nCurrently, there’s ~1 million patients using compounded versions of GLP-1 drugs.\n\nThe prices aren’t closer to the compounded prices but they’re still competitive, given how these drugs are FDA approved.\n\nNovo kept these prices for the patients that purchase directly from them through channels like Novocare. This should enable them to keep more of their revenue, since they control most of the supply chain.\n\nHowever, this isn’t the entire story.\n\nThe price reduction also helps Novo subside the Most Favored Nation (MFN) policy implemented by Trump. This way, Novo has created a middle-ground for their international and U.S. drug pricing.\n\nBy reducing the prices of the drugs, Novo can now increase the prices of the drugs internationally, but not exponentially since they only have to match the U.S. prices.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.01880247353853748, "ret_signed_m1d": -0.01880247353853748, "alpha_spy_m1d": -0.02425716682886825, "alpha_c_m1d": -0.02425716682886825, "bench_spy_m1d": 0.00545469329033077, "bench_c_m1d": 0.00545469329033077, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.008762277815397068, "ret_signed_p1d": -0.008762277815397068, "alpha_spy_p1d": -0.006105197010452423, "alpha_c_p1d": -0.006105197010452423, "bench_spy_p1d": -0.002657080804944645, "bench_c_p1d": -0.002657080804944645, "ret_p1w": 0.010222765737188722, "ret_signed_p1w": 0.010222765737188722, "alpha_spy_p1w": 0.0018608896189997726, "alpha_c_p1w": 0.0018608896189997726, "bench_spy_p1w": 0.008361876118188949, "bench_c_p1w": 0.008361876118188949, "ret_p1m": 0.06243158136385363, "ret_signed_p1m": 0.06243158136385363, "alpha_spy_p1m": 0.032156987090003586, "alpha_c_p1m": 0.032156987090003586, "bench_spy_p1m": 0.030274594273850042, "bench_c_p1m": 0.030274594273850042, "ret_p3m": -0.11902157199351437, "ret_signed_p3m": -0.11902157199351437, "alpha_spy_p3m": -0.1721356026012566, "alpha_c_p3m": -0.1721356026012566, "bench_spy_p3m": 0.053114030607742224, "bench_c_p3m": 0.053114030607742224, "ret_p6m": -0.09510771558638254, "ret_signed_p6m": -0.09510771558638254, "alpha_spy_p6m": -0.16676990250432022, "alpha_c_p6m": -0.16676990250432022, "bench_spy_p6m": 0.07166218691793769, "bench_c_p6m": 0.07166218691793769, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.06243158136385363, "alpha_spy_stated": 0.032156987090003586, "alpha_c_stated": 0.032156987090003586, "price_path": [0.2306, 0.2158, 0.2158, 0.2715, 0.2383, 0.2539, 0.2907, 0.3147, 0.28, 0.3004, 0.3114, 0.3472, 0.3622, 0.432, 0.4212, 0.4631, 0.441, 0.3903, 0.3419, 0.336, 0.336, 0.3317, 0.2585, 0.2768, 0.2158, 0.2221, 0.2367, 0.2459, 0.2604, 0.2604, 0.2486, 0.2486, 0.2513, 0.2571, 0.258, 0.2818, 0.2443, 0.2445, 0.2134, 0.2102, 0.1786, 0.1609, 0.1719, 0.2055, 0.2641, 0.2768, 0.2943, 0.2455, -0.0263, -0.0969, -0.1503, -0.1301, -0.1189, -0.1476, -0.1808, -0.1198, -0.0779, -0.0998, -0.1014, -0.0812, -0.0803, -0.0539, -0.0188, 0.0, -0.0088, 0.0122, 0.0402, 0.0285, 0.0102, 0.0303, 0.0243, 0.0307, 0.0307, 0.0292, 0.0358, 0.0248, 0.0082, -0.0091, -0.0088, -0.0075, -0.0088, 0.0016, 0.0153, 0.0442, 0.0624, 0.1291, 0.1208, 0.1083, 0.0869, 0.0723, 0.023, 0.0152, 0.0131, 0.013, 0.0801, 0.0723, 0.0885, 0.0889, 0.0774, 0.0882, 0.0712, 0.0392, 0.0497, 0.0343, 0.0354, 0.0239, -0.0075, 0.0175, 0.0, -0.0256, -0.0283, -0.0332, -0.0345, -0.0498, -0.0622, -0.0865, -0.0971, -0.1035, -0.1192, -0.1154, -0.151, -0.1661, -0.1614, -0.1028, -0.0825, -0.1026, -0.119, -0.1154, -0.132, -0.1055, -0.1311, -0.1305, -0.1791, -0.1409, -0.1108, -0.1108, -0.0991, -0.1159, -0.1342, -0.1316, -0.124, -0.1263, -0.1462, -0.1537, -0.1046, -0.082, -0.084, -0.0805, -0.1062, -0.128, -0.1309, -0.1221, -0.1219, -0.0579, -0.0405, -0.0434, -0.0604, -0.065, -0.0712, -0.0436, 0.006, 0.027, 0.0327, 0.0467, 0.0736, 0.0927, 0.0887, 0.0754, 0.0427, 0.1378, 0.1378, 0.1077, 0.0829, 0.136, 0.1365, 0.1679, 0.148, 0.1013, 0.0831, 0.0849, 0.0758, -0.0818, -0.1386, -0.2088, -0.1303, -0.0988, -0.1033, -0.1103, -0.1068, -0.0951]}
{"unit_id": "orig:1958213586045845758", "ticker_idx": 0, "ts": "2025-08-20T17:04:35+00:00", "symbol": "AMD", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "AMD is actually in a pretty good position with their GPUs. Recently, Tiny Corp claimed that AMD has nearly closed the software gap with Nvidia. AI hyperscalers(like Meta and xAI) are already integrating AMD into their workforce", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish AMD on GPU momentum: software gap nearly closed, hyperscalers integrating AMD, could challenge Nvidia if it slips.", "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": "original", "lang": "en", "tweet_text": "Intel $INTC is up 16.8% this week (6% in just the past 2 days) !\n\nThis is primarily because Softbank invested $2B for a roughly 2% stake in the company. And, reports of Trump admin looking to get involved (for a 10% stake in the company)\n\nThis has directly caused $AMD AMD shares to fall 7% this past week.\nI don’t think investors understand what’s really going on behind the scenes. \n\nWhat Trump really wants is for more of the foundry business to come to the U.S., as opposed to Intel gaining the CPU market back from AMD.\n\nMore evidence of this is the government giving grants to TSMC for their Arizona factory.\n\nOn the other hand, AMD is actually in a pretty good position with their GPUs. \n\nRecently, Tiny Corp claimed that AMD has nearly closed the software gap with Nvidia.\n\nSo much so that if Nvidia slips up even one generation, AMD could do to Nvidia what it did to Intel.\nI can believe that, given that AI is at such a pivotal junction. AI hyperscalers(like Meta and xAI) are already integrating AMD into their workforce, and are actively looking to accumulate as many GPUs as they can.\n\nThe major gap here, beyond hardware capabilities, was also the software integration. \n\nIf AMD is able to close that gap, then Nvidia wouldn’t have a hanging ‘moat’ over AMD anymore.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.00817194993011161, "ret_signed_m1d": 0.00817194993011161, "alpha_spy_m1d": 0.0055077902375866294, "alpha_c_m1d": 0.0015620108140570466, "bench_spy_m1d": 0.002664159692524981, "bench_c_m1d": 0.006609939116054564, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.009019311512710404, "ret_signed_p1d": -0.009019311512710404, "alpha_spy_p1d": -0.005007501707097961, "alpha_c_p1d": -0.0038282321177995904, "bench_spy_p1d": -0.004011809805612443, "bench_c_p1d": -0.005191079394910814, "ret_p1w": 0.011682856962612398, "ret_signed_p1w": 0.011682856962612398, "alpha_spy_p1w": -0.0016691787433942284, "alpha_c_p1w": -0.018425085706682998, "bench_spy_p1w": 0.013352035706006626, "bench_c_p1w": 0.030107942669295396, "ret_p1m": -0.0440677900349945, "ret_signed_p1m": -0.0440677900349945, "alpha_spy_p1m": -0.08191398307090736, "alpha_c_p1m": -0.14100166309933104, "bench_spy_p1m": 0.037846193035912856, "bench_c_p1m": 0.09693387306433654, "ret_p3m": 0.4559322561477819, "ret_signed_p3m": 0.4559322561477819, "alpha_spy_p3m": 0.4098499722198079, "alpha_c_p3m": 0.27826067773123064, "bench_spy_p3m": 0.04608228392797398, "bench_c_p3m": 0.17767157841655123, "ret_p6m": 0.25496374790595744, "ret_signed_p6m": 0.25496374790595744, "alpha_spy_p6m": 0.18044648178562994, "alpha_c_p6m": -0.16041784410274662, "bench_spy_p6m": 0.0745172661203275, "bench_c_p6m": 0.41538159200870406, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.0440677900349945, "alpha_spy_stated": -0.08191398307090736, "alpha_c_stated": -0.14100166309933104, "price_path": [-0.3323, -0.3323, -0.3065, -0.3168, -0.3158, -0.3297, -0.3061, -0.2899, -0.2822, -0.2997, -0.2967, -0.2631, -0.254, -0.2667, -0.2827, -0.2969, -0.2349, -0.2306, -0.2325, -0.2325, -0.2237, -0.2156, -0.162, -0.132, -0.1303, -0.1295, -0.141, -0.1761, -0.1615, -0.1652, -0.1652, -0.184, -0.1657, -0.1622, -0.1274, -0.1137, -0.1148, -0.0581, -0.031, -0.029, -0.0497, -0.0496, -0.0634, -0.0396, -0.0186, 0.0077, 0.0512, 0.0741, 0.0866, 0.0673, 0.0393, 0.0701, 0.0551, -0.0126, 0.0436, 0.0458, 0.0429, 0.059, 0.1163, 0.0953, 0.0745, 0.0662, 0.0082, 0.0, -0.009, 0.0155, -0.0111, 0.0086, 0.0117, 0.0205, -0.0156, -0.0156, -0.0174, -0.0186, -0.0206, -0.0851, -0.0835, -0.0568, -0.0343, -0.0577, -0.0401, -0.0245, -0.0287, -0.0366, -0.0441, -0.0473, -0.0327, -0.026, -0.0262, -0.0238, -0.0347, -0.0232, -0.0206, -0.0072, 0.0274, -0.0032, 0.2331, 0.2803, 0.4259, 0.4097, 0.3008, 0.31, 0.3202, 0.4443, 0.4199, 0.4109, 0.4562, 0.4409, 0.3936, 0.4225, 0.531, 0.5719, 0.5618, 0.6001, 0.5426, 0.5504, 0.5717, 0.5136, 0.5516, 0.4389, 0.4137, 0.4769, 0.4378, 0.5671, 0.501, 0.494, 0.4559, 0.394, 0.3532, 0.2471, 0.2335, 0.3018, 0.2478, 0.2969, 0.2969, 0.3168, 0.3303, 0.3029, 0.3172, 0.3074, 0.3194, 0.3384, 0.3415, 0.3403, 0.3404, 0.2759, 0.2565, 0.2662, 0.1992, 0.2171, 0.2919, 0.3012, 0.3008, 0.3017, 0.3014, 0.3051, 0.3035, 0.2964, 0.3527, 0.3383, 0.2975, 0.2713, 0.239, 0.2298, 0.2572, 0.3376, 0.3535, 0.3797, 0.4033, 0.4033, 0.4039, 0.5121, 0.5359, 0.5719, 0.5212, 0.5256, 0.5299, 0.5265, 0.433, 0.4907, 0.4656, 0.2118, 0.1653, 0.2617, 0.3075, 0.2928, 0.2929, 0.2466, 0.255, 0.255]}
{"unit_id": "orig:1958544398821843398", "ticker_idx": 0, "ts": "2025-08-21T14:59:07+00:00", "symbol": "FICO", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "In short, long FICO.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Long FICO on durable moat: switching costs for lenders far exceed marginal price increases; toll-collector economics.", "resolved_tickers": ["FICO"], "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": "$FICO FICO is the quintessential stock for why I started Rebound Capital.\n\nLike I’d mentioned in my original thesis, $FICO is a quality company with an incredibly strong moat.\n\nThey’ve had the dominance for decades, and it’s highly unusual for them to be in a drawdown.\n\nAs Dev (Portfolio Manager of Valley Forge Capital Management) says, $FICO is well integrated with several lenders, to the point where it’s basically the industry standard now. \nAnd in my opinion, this could be their moat now.\n\nThe bottom line is that shifting entire workflows, and adapting to new policies for big lenders is going to cost way more than the additional $1.45 that FICO is charging per score.\n\nIt’s classic toll-collector economics.\n\nWhen the price difference between calculating the score is less than a percent of an average transaction, the lenders will consider factors like stability, credibility, and relationships instead of cost - where FICO has an undeniable hold.\n\nIn short, long FICO.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.012932163536141461, "ret_signed_m1d": -0.012932163536141461, "alpha_spy_m1d": -0.016960132788296445, "alpha_c_m1d": -0.016960132788296445, "bench_spy_m1d": 0.004027969252154984, "bench_c_m1d": 0.004027969252154984, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.03978795558308623, "ret_signed_p1d": 0.03978795558308623, "alpha_spy_p1d": 0.024431219641265045, "alpha_c_p1d": 0.024431219641265045, "bench_spy_p1d": 0.015356735941821187, "bench_c_p1d": 0.015356735941821187, "ret_p1w": 0.1062259697486645, "ret_signed_p1w": 0.1062259697486645, "alpha_spy_p1w": 0.08518902328007782, "alpha_c_p1w": 0.08518902328007782, "bench_spy_p1w": 0.02103694646858667, "bench_c_p1w": 0.02103694646858667, "ret_p1m": 0.08481185024755256, "ret_signed_p1m": 0.08481185024755256, "alpha_spy_p1m": 0.03762422395780707, "alpha_c_p1m": 0.03762422395780707, "bench_spy_p1m": 0.04718762628974549, "bench_c_p1m": 0.04718762628974549, "ret_p3m": 0.2667582232875938, "ret_signed_p3m": 0.2667582232875938, "alpha_spy_p3m": 0.22528226768992732, "alpha_c_p3m": 0.22528226768992732, "bench_spy_p3m": 0.04147595559766648, "bench_c_p3m": 0.04147595559766648, "ret_p6m": -0.007431774032044203, "ret_signed_p6m": -0.007431774032044203, "alpha_spy_p6m": -0.08801786137594991, "alpha_c_p6m": -0.08801786137594991, "bench_spy_p6m": 0.08058608734390571, "bench_c_p6m": 0.08058608734390571, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.08481185024755256, "alpha_spy_stated": 0.03762422395780707, "alpha_c_stated": 0.03762422395780707, "price_path": [0.2443, 0.1042, 0.1896, 0.2374, 0.2677, 0.2839, 0.2789, 0.2888, 0.3012, 0.3036, 0.2847, 0.3108, 0.3255, 0.3104, 0.3105, 0.3324, 0.3049, 0.2952, 0.2952, 0.3254, 0.3815, 0.4148, 0.3905, 0.3335, 0.3338, 0.3424, 0.3536, 0.3533, 0.3625, 0.3625, 0.3731, 0.2507, 0.1689, 0.1635, 0.134, 0.1361, 0.1068, 0.1285, 0.1201, 0.1321, 0.1244, 0.1248, 0.1245, 0.1278, 0.1254, 0.1116, 0.1053, 0.122, 0.0551, 0.0142, -0.0005, -0.0137, 0.0234, -0.0206, -0.03, -0.0371, -0.0316, -0.0194, -0.032, -0.0136, -0.0085, 0.017, -0.0129, 0.0, 0.0398, 0.0456, 0.0429, 0.0423, 0.1062, 0.1174, 0.1174, 0.1051, 0.1168, 0.1154, 0.125, 0.1296, 0.1357, 0.1238, 0.1725, 0.1339, 0.1421, 0.1409, 0.1396, 0.1178, 0.0848, 0.1302, 0.1271, 0.1333, 0.1371, 0.1153, 0.1202, 0.099, 0.1109, 0.3106, 0.3591, 0.3587, 0.3803, 0.2448, 0.2549, 0.2229, 0.2117, 0.2113, 0.2019, 0.1898, 0.1867, 0.19, 0.1499, 0.1558, 0.1863, 0.2242, 0.2375, 0.2239, 0.1507, 0.1642, 0.2187, 0.2121, 0.1795, 0.1964, 0.2299, 0.2778, 0.2898, 0.3202, 0.3056, 0.2758, 0.2788, 0.2927, 0.2668, 0.275, 0.2635, 0.3132, 0.2839, 0.3292, 0.3199, 0.3199, 0.3261, 0.2989, 0.3062, 0.2942, 0.3012, 0.3208, 0.2928, 0.2864, 0.2868, 0.3408, 0.3549, 0.3275, 0.3161, 0.2888, 0.2935, 0.284, 0.2797, 0.2674, 0.2712, 0.2875, 0.3011, 0.282, 0.2415, 0.2068, 0.2143, 0.175, 0.1607, 0.1644, 0.2231, 0.198, 0.192, 0.1869, 0.1612, 0.1509, 0.1509, 0.0975, 0.1276, 0.1434, 0.1344, 0.1388, 0.1346, 0.1204, 0.1028, 0.0745, 0.0655, -0.0247, 0.0185, -0.0032, 0.0215, 0.0081, 0.0139, 0.0012, -0.0177, -0.0125, -0.0125, -0.0074]}
{"unit_id": "orig:1960023096267776013", "ticker_idx": 0, "ts": "2025-08-25T16:54:56+00:00", "symbol": "RDDT", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "they're gonna do it again next quarter", "tweet_type": "prediction", "timeline": "quarters", "summary": "Bullish RDDT; expects another earnings beat next quarter after 70% rise post-Q2 crush.", "resolved_tickers": ["RDDT"], "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": "I don’t think I’ve seen any other stock fly under the radar this much\n\n$RDDT shot up 70% ever since my report on it, after crushing its Q2 earnings.\n\nAnd they’re gonna do it again next quarter.\n\nHere’s what nobody’s seeing: https://t.co/XTa2O1ZxV1", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.011013508469485678, "ret_signed_m1d": -0.011013508469485678, "alpha_spy_m1d": -0.015433887048688422, "alpha_c_m1d": -0.009399078476773126, "bench_spy_m1d": 0.004420378579202744, "bench_c_m1d": -0.0016144299927125516, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.0013653258890051756, "ret_signed_p1d": -0.0013653258890051756, "alpha_spy_p1d": -0.005552294647532818, "alpha_c_p1d": 0.003029576755648633, "bench_spy_p1d": 0.004186968758527643, "bench_c_p1d": -0.004394902644653809, "ret_p1w": 0.024348091783288117, "ret_signed_p1w": 0.024348091783288117, "alpha_spy_p1w": 0.02033229022658878, "alpha_c_p1w": 0.025245005033885604, "bench_spy_p1w": 0.004015801556699339, "bench_c_p1w": -0.0008969132505974864, "ret_p1m": 0.08064443437515734, "ret_signed_p1m": 0.08064443437515734, "alpha_spy_p1m": 0.04550069570886106, "alpha_c_p1m": 0.014871950861585548, "bench_spy_p1m": 0.035143738666296276, "bench_c_p1m": 0.06577248351357179, "ret_p3m": -0.17225682237603923, "ret_signed_p3m": -0.17225682237603923, "alpha_spy_p3m": -0.19073106560232778, "alpha_c_p3m": -0.16206344208641466, "bench_spy_p3m": 0.018474243226288545, "bench_c_p3m": -0.010193380289624576, "ret_p6m": -0.3349565024157609, "ret_signed_p6m": -0.3349565024157609, "alpha_spy_p6m": -0.40645521342683566, "alpha_c_p6m": -0.37465170435255024, "bench_spy_p6m": 0.07149871101107474, "bench_c_p6m": 0.039695201936789326, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 63, "stated_label": "p3m", "ret_signed_stated": -0.17225682237603923, "alpha_spy_stated": -0.19073106560232778, "alpha_c_stated": -0.16206344208641466, "price_path": [-0.5202, -0.5038, -0.4887, -0.4898, -0.4955, -0.462, -0.4892, -0.448, -0.4651, -0.4671, -0.4765, -0.4712, -0.4622, -0.4257, -0.3909, -0.3576, -0.3576, -0.3667, -0.3895, -0.3593, -0.3552, -0.3449, -0.3492, -0.3147, -0.3072, -0.2748, -0.2854, -0.2854, -0.302, -0.3357, -0.3371, -0.3492, -0.3374, -0.3338, -0.341, -0.3432, -0.3514, -0.3254, -0.3342, -0.3365, -0.3351, -0.3259, -0.3189, -0.3101, -0.3408, -0.3204, -0.2691, -0.1415, -0.0818, -0.0939, -0.0315, -0.036, -0.0195, 0.0046, 0.0195, 0.0684, 0.108, 0.1218, 0.1003, 0.0385, -0.0062, -0.0049, -0.011, 0.0, -0.0014, -0.0393, 0.0264, 0.0243, 0.0243, 0.0015, 0.0155, 0.0563, 0.0922, 0.0466, 0.0932, 0.1789, 0.1857, 0.1573, 0.1998, 0.2136, 0.2127, 0.232, 0.2037, 0.1722, 0.0806, 0.0726, 0.0593, 0.0928, 0.1013, 0.0467, -0.078, -0.0856, -0.057, -0.0733, -0.0628, -0.0794, -0.0365, -0.0964, -0.073, -0.1064, -0.0863, -0.0945, -0.1128, -0.0785, -0.0638, -0.1032, -0.0861, -0.0252, -0.0022, -0.0308, -0.0408, -0.1152, -0.0491, -0.0671, -0.1455, -0.1068, -0.1642, -0.1145, -0.0707, -0.0524, -0.077, -0.1379, -0.1202, -0.1465, -0.1549, -0.1454, -0.1723, -0.165, -0.1125, -0.0057, -0.0554, -0.0554, -0.0148, 0.0167, 0.0138, 0.0051, 0.0137, 0.0654, 0.0784, 0.0745, 0.0836, 0.0628, 0.023, -0.0056, 0.0194, 0.0346, 0.0528, 0.0613, 0.0611, 0.0277, 0.0279, 0.0275, 0.0679, 0.062, 0.0461, 0.1009, 0.1107, 0.1551, 0.1628, 0.1557, 0.113, 0.1105, 0.1784, 0.1486, 0.0411, 0.0513, 0.0513, 0.0256, -0.0437, -0.0236, -0.0039, -0.0278, -0.1066, -0.121, -0.1351, -0.1796, -0.1938, -0.2472, -0.3051, -0.3126, -0.3636, -0.3549, -0.3174, -0.3661, -0.4035, -0.3644, -0.3644, -0.3664, -0.3289, -0.335]}
{"unit_id": "orig:1960428076002582762", "ticker_idx": 0, "ts": "2025-08-26T19:44:10+00:00", "symbol": "TTD", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "the market isn't pricing in their AI innovation, called Kokai", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish TTD: market underprices Kokai AI product despite weak guidance; Samsung Europe result shows 43% growth uplift.", "resolved_tickers": ["TTD"], "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": "Advertising Agencies", "unit_kind": "original", "lang": "en", "tweet_text": "$TTD is down 61% from its ATH. \n\nThis is due to their weaker guidance(14% growth) compared to expectations\n\nBut the market isn’t pricing in their AI innovation, called Kokai. \n\nThis product single-handedly gave Samsung a 43% boost in growth across Europe. \n\nHere’s what the market’s missing:", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.002872418760537565, "ret_signed_m1d": 0.002872418760537565, "alpha_spy_m1d": 0.00704192990616026, "alpha_c_m1d": 0.00704192990616026, "bench_spy_m1d": -0.004169511145622695, "bench_c_m1d": -0.004169511145622695, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.008234398604443305, "ret_signed_p1d": 0.008234398604443305, "alpha_spy_p1d": 0.005955850198848589, "alpha_c_p1d": 0.005955850198848589, "bench_spy_p1d": 0.002278548405594716, "bench_c_p1d": 0.002278548405594716, "ret_p1w": 0.037533493654833494, "ret_signed_p1w": 0.037533493654833494, "alpha_spy_p1w": 0.04511303169518999, "alpha_c_p1w": 0.04511303169518999, "bench_spy_p1w": -0.007579538040356493, "bench_c_p1w": -0.007579538040356493, "ret_p1m": -0.10245120957020004, "ret_signed_p1m": -0.10245120957020004, "alpha_spy_p1m": -0.12999915727444844, "alpha_c_p1m": -0.12999915727444844, "bench_spy_p1m": 0.0275479477042484, "bench_c_p1m": 0.0275479477042484, "ret_p3m": -0.24071235926820933, "ret_signed_p3m": -0.24071235926820933, "alpha_spy_p3m": -0.2650430207282958, "alpha_c_p3m": -0.2650430207282958, "bench_spy_p3m": 0.024330661460086445, "bench_c_p3m": 0.024330661460086445, "ret_p6m": -0.5193412524946746, "ret_signed_p6m": -0.5193412524946746, "alpha_spy_p6m": -0.5940890420272407, "alpha_c_p6m": -0.5940890420272407, "bench_spy_p6m": 0.07474778953256611, "bench_c_p6m": 0.07474778953256611, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.10245120957020004, "alpha_spy_stated": -0.12999915727444844, "alpha_c_stated": -0.12999915727444844, "price_path": [0.4339, 0.4404, 0.4318, 0.4247, 0.4563, 0.3617, 0.3684, 0.369, 0.3859, 0.3859, 0.3514, 0.3014, 0.3453, 0.2953, 0.3148, 0.3148, 0.3066, 0.3188, 0.3757, 0.3367, 0.3026, 0.3277, 0.3786, 0.4073, 0.409, 0.4249, 0.4249, 0.4087, 0.4177, 0.4483, 0.4717, 0.4435, 0.4445, 0.5396, 0.5536, 0.5596, 0.536, 0.5326, 0.564, 0.6206, 0.6277, 0.6496, 0.694, 0.6187, 0.6549, 0.6653, 0.6484, 0.7189, 0.6794, 0.7154, 0.6915, 0.0385, 0.0183, 0.0201, 0.041, -0.028, -0.0019, 0.0523, 0.0059, 0.0059, 0.0015, 0.0188, 0.0029, 0.0, 0.0082, 0.0601, 0.0467, 0.0467, 0.0375, 0.0297, -0.0057, -0.0029, -0.0036, 0.0034, -0.1164, -0.1337, -0.1354, -0.1279, -0.1403, -0.1312, -0.1588, -0.1484, -0.1162, -0.1026, -0.1025, -0.1046, -0.0973, -0.0494, -0.0615, -0.0555, -0.0257, -0.0128, 0.0176, 0.0243, 0.0354, 0.0358, 0.0027, -0.0181, -0.0285, -0.0214, -0.0444, -0.0429, 0.0053, 0.0326, 0.032, 0.0366, -0.0042, 0.0266, -0.0105, -0.0433, -0.0622, -0.0372, -0.0594, -0.0954, -0.0866, -0.121, -0.1766, -0.1716, -0.1536, -0.1614, -0.1791, -0.1971, -0.23, -0.225, -0.2304, -0.2656, -0.2407, -0.252, -0.2514, -0.2511, -0.2511, -0.2424, -0.2421, -0.235, -0.2606, -0.2465, -0.2331, -0.2465, -0.2455, -0.2489, -0.2911, -0.2982, -0.307, -0.2984, -0.2882, -0.2859, -0.2865, -0.2859, -0.283, -0.27, -0.2664, -0.2648, -0.27, -0.2731, -0.2784, -0.2319, -0.239, -0.2599, -0.2857, -0.2859, -0.2934, -0.2888, -0.289, -0.3062, -0.3206, -0.3206, -0.346, -0.3234, -0.2949, -0.3001, -0.3525, -0.3836, -0.3897, -0.4016, -0.4192, -0.4303, -0.4795, -0.4778, -0.4975, -0.4822, -0.4822, -0.4613, -0.4786, -0.4994, -0.5057, -0.5057, -0.5163, -0.5117, -0.5167, -0.5193]}
{"unit_id": "orig:1960851095091053008", "ticker_idx": 0, "ts": "2025-08-27T23:45:06+00:00", "symbol": "NVO", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Investors are too focused on their business within the U.S. to realise their prowess internationally", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish NVO: international expansion (UK sales +2600%, strong emerging market/China share) and new CEO signal underappreciated global GLP-1 growth.", "resolved_tickers": ["NVO"], "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": "Drug Manufacturers - General", "unit_kind": "original", "lang": "en", "tweet_text": "60% of $NVO Novo’s revenue comes from North America. \n\nBut that’s going to change soon.\n\nRecently, their sales in the U.K. spiked 27x (2600%+), and several first-time users. \n\nInvestors are too focused on their business within the U.S. to realise their prowess internationally: \n\n(Market share)\nEmerging markets: +56% \nEurope + Canada: 63%\nAPAC: 54%\nChina: 81% (!)\n\nAdditionally, Maziar Mike Doustdar who headed the international sales until now, recently got promoted to CEO. \n\nAll fascinating signals that $NVO Novo’s management knows the importance of the rest of the world for GLP-1 drugs. \n\nAll eyes on how they handle the Most Favorable Nation (MFN) policy now 👀", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.005881226099546, "ret_signed_m1d": 0.005881226099546, "alpha_spy_m1d": 0.009410148273821584, "alpha_c_m1d": 0.009410148273821584, "bench_spy_m1d": -0.003528922174275584, "bench_c_m1d": -0.003528922174275584, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, 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{"unit_id": "orig:1961157621655781554", "ticker_idx": 0, "ts": "2025-08-28T20:03:08+00:00", "symbol": "ASML", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": false, "explicit_audit": "kept_implicit", "polarity_reversed": false, "quote": "Their stock is down -30% right now. This is why you should be watching", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish on ASML (dominant semiconductor equipment monopoly) after -30% drawdown; signals it's a buying opportunity to watch.", "resolved_tickers": ["ASML"], "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": "original", "lang": "en", "tweet_text": "Every iPhone, every console, and even every query to ChatGPT, in a way, pays a toll to this company. \n\nThey’re the biggest company that makes the equipment to make semiconductor chips. \n\nAnd, they have zero competition. \n\nTheir stock is down -30% right now. \n\nThis is why you should be watching:", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.0280628860218739, "ret_signed_m1d": 0.0280628860218739, "alpha_spy_m1d": 0.022063372595605646, "alpha_c_m1d": -0.0015281056738605248, "bench_spy_m1d": 0.005999513426268255, "bench_c_m1d": 0.029590991695734425, "ret_t0": 0.0, "ret_signed_t0": 0.0, "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": 0.05262452116618355, "ret_signed_p1w": 0.05262452116618355, "alpha_spy_p1w": 0.049229602675893824, "alpha_c_p1w": 0.04232451959490402, "bench_spy_p1w": 0.0033949184902897223, "bench_c_p1w": 0.010300001571279527, "ret_p1m": 0.2962349407420559, "ret_signed_p1m": 0.2962349407420559, "alpha_spy_p1m": 0.26450097698672836, "alpha_c_p1m": 0.1847258658640436, "bench_spy_p1m": 0.031733963755327554, "bench_c_p1m": 0.11150907487801232, "ret_p3m": 0.4042402183968854, "ret_signed_p3m": 0.4042402183968854, "alpha_spy_p3m": 0.34763321010877246, "alpha_c_p3m": 0.2064381538620057, "bench_spy_p3m": 0.05660700828811294, "bench_c_p3m": 0.1978020645348797, "ret_p6m": 1.0619366785525992, "ret_signed_p6m": 1.0619366785525992, "alpha_spy_p6m": 0.981205620176284, "alpha_c_p6m": 0.589319600556915, "bench_spy_p6m": 0.08073105837631522, "bench_c_p6m": 0.4726170779956842, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.2962349407420559, "alpha_spy_stated": 0.26450097698672836, "alpha_c_stated": 0.1847258658640436, "price_path": [0.0037, -0.0023, 0.0044, 0.0114, 0.0345, 0.0544, 0.0532, 0.056, 0.0222, 0.0413, 0.0206, 0.023, 0.023, 0.0162, 0.0473, 0.0925, 0.095, 0.072, 0.0691, 0.0764, 0.0617, 0.074, 0.0672, 0.0672, 0.0545, 0.0666, 0.0743, 0.0773, 0.0771, 0.0836, 0.1055, 0.0134, 0.0005, -0.0133, -0.0333, -0.0524, -0.037, -0.0261, -0.0447, -0.0195, -0.0325, -0.0285, -0.0645, -0.0711, -0.0583, -0.0714, -0.0696, -0.0397, -0.0273, -0.0287, -0.0011, 0.0174, 0.017, -0.0006, 0.0066, 0.0013, 0.0093, -0.0097, 0.0165, 0.0159, 0.0277, 0.0369, 0.0281, 0.0, 0.0, -0.0226, -0.0078, 0.0146, 0.0526, 0.0722, 0.0842, 0.068, 0.0829, 0.0959, 0.1679, 0.1829, 0.1746, 0.2494, 0.2552, 0.2898, 0.2974, 0.2751, 0.2786, 0.2813, 0.2962, 0.3036, 0.351, 0.3872, 0.39, 0.4049, 0.3497, 0.3302, 0.3204, 0.2607, 0.3259, 0.3239, 0.3598, 0.373, 0.386, 0.4033, 0.3803, 0.3622, 0.3956, 0.3912, 0.4274, 0.4173, 0.4445, 0.4508, 0.4289, 0.4391, 0.3896, 0.408, 0.3884, 0.3719, 0.4013, 0.3792, 0.3993, 0.3758, 0.3584, 0.376, 0.3544, 0.402, 0.3234, 0.3039, 0.3325, 0.3533, 0.4042, 0.4042, 0.4299, 0.4677, 0.4957, 0.5391, 0.4975, 0.4832, 0.5104, 0.4993, 0.5099, 0.5147, 0.458, 0.4674, 0.4516, 0.3698, 0.398, 0.4245, 0.4258, 0.4324, 0.4374, 0.4471, 0.438, 0.4463, 0.4432, 0.5699, 0.6568, 0.6757, 0.6572, 0.6111, 0.7184, 0.7283, 0.7134, 0.7047, 0.7963, 0.8327, 0.8327, 0.7888, 0.8347, 0.8818, 0.8738, 0.9066, 0.9622, 0.9195, 0.963, 0.9196, 0.9444, 0.883, 0.8064, 0.8213, 0.9061, 0.9283, 0.9095, 0.9392, 0.9003, 0.9, 0.9, 0.9178, 0.9839, 0.9707, 0.9851, 1.0072, 1.0232, 1.0619]}
{"unit_id": "orig:1961406063653372187", "ticker_idx": 0, "ts": "2025-08-29T12:30:21+00:00", "symbol": "GOOG", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "the stock won't be as undervalued as it is now", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish GOOG: currently undervalued; Chrome divestiture overhang removal would re-rate the stock higher.", "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": "original", "lang": "en", "tweet_text": "Let’s just take a moment to see how crazy $GOOG Google has been since earnings:\n\nThe DOJ news will decide the future (short-term at least). \n\nIf Chrome isn't looming over Google anymore, the stock won't be as undervalued as it is now.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.005432542726827472, "ret_signed_m1d": -0.005432542726827472, "alpha_spy_m1d": -0.011432056153095727, "alpha_c_m1d": -0.007407675843198347, "bench_spy_m1d": 0.005999513426268255, "bench_c_m1d": 0.001975133116370875, "ret_t0": 0.0, "ret_signed_t0": 0.0, "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": 0.10134408958542873, "ret_signed_p1w": 0.10134408958542873, "alpha_spy_p1w": 0.09794917109513901, "alpha_c_p1w": 0.07171827185819457, "bench_spy_p1w": 0.0033949184902897223, "bench_c_p1w": 0.02962581772723416, "ret_p1m": 0.1454053319984765, "ret_signed_p1m": 0.1454053319984765, "alpha_spy_p1m": 0.11367136824314894, "alpha_c_p1m": 0.07741488204693758, "bench_spy_p1m": 0.031733963755327554, "bench_c_p1m": 0.06799044995153891, "ret_p3m": 0.5012702759162122, "ret_signed_p3m": 0.5012702759162122, "alpha_spy_p3m": 0.44466326762809927, "alpha_c_p3m": 0.47012567451976905, "bench_spy_p3m": 0.05660700828811294, "bench_c_p3m": 0.03114460139644315, "ret_p6m": 0.4682443203785567, "ret_signed_p6m": 0.4682443203785567, "alpha_spy_p6m": 0.38751326200224145, "alpha_c_p6m": 0.41532415205635176, "bench_spy_p6m": 0.08073105837631522, "bench_c_p6m": 0.05292016832220492, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.1454053319984765, "alpha_spy_stated": 0.11367136824314894, "alpha_c_stated": 0.07741488204693758, "price_path": [-0.2155, -0.2077, -0.2057, -0.1818, -0.1681, -0.157, -0.1627, -0.1712, -0.1763, -0.1667, -0.17, -0.1852, -0.1852, -0.2145, -0.2225, -0.2144, -0.1969, -0.1831, -0.1651, -0.1693, -0.1715, -0.1582, -0.1545, -0.1545, -0.1685, -0.1797, -0.168, -0.1631, -0.1509, -0.1439, -0.1425, -0.1394, -0.135, -0.1292, -0.1048, -0.1003, -0.1031, -0.0952, -0.0911, -0.0942, -0.0801, -0.0754, -0.0968, -0.1104, -0.0833, -0.0853, -0.0778, -0.0761, -0.0536, -0.0557, -0.0439, -0.0492, -0.0455, -0.0404, -0.0433, -0.0517, -0.0625, -0.0605, -0.0319, -0.0205, -0.0261, -0.0249, -0.0054, 0.0, 0.0, -0.0072, 0.0823, 0.0896, 0.1013, 0.0976, 0.1247, 0.1229, 0.1286, 0.1314, 0.1801, 0.1785, 0.1711, 0.1828, 0.1964, 0.1853, 0.1828, 0.1617, 0.1558, 0.1586, 0.1454, 0.1416, 0.1509, 0.1551, 0.1552, 0.1789, 0.1584, 0.1506, 0.1353, 0.1132, 0.1467, 0.154, 0.1799, 0.1807, 0.1896, 0.2047, 0.1781, 0.1837, 0.1893, 0.2211, 0.2653, 0.2582, 0.2898, 0.3214, 0.321, 0.3318, 0.3034, 0.3347, 0.3375, 0.3111, 0.3621, 0.3675, 0.3473, 0.3083, 0.2983, 0.3387, 0.3357, 0.3734, 0.3592, 0.4046, 0.4928, 0.517, 0.5013, 0.5013, 0.5005, 0.4771, 0.4813, 0.5029, 0.4924, 0.5098, 0.4749, 0.4904, 0.5056, 0.4714, 0.4565, 0.4508, 0.4434, 0.398, 0.4247, 0.4475, 0.4603, 0.4807, 0.4806, 0.4773, 0.4746, 0.4754, 0.4719, 0.479, 0.4884, 0.4754, 0.5123, 0.5291, 0.5438, 0.5606, 0.578, 0.5774, 0.5627, 0.5494, 0.5494, 0.5111, 0.5402, 0.5518, 0.5405, 0.5647, 0.5713, 0.5773, 0.5885, 0.5879, 0.6177, 0.598, 0.5635, 0.5541, 0.5155, 0.5216, 0.4945, 0.4603, 0.4511, 0.4354, 0.4354, 0.4204, 0.4256, 0.4238, 0.477, 0.462, 0.4583, 0.4682]}
{"unit_id": "orig:1962609153530356020", "ticker_idx": 0, "ts": "2025-09-01T20:11:00+00:00", "symbol": "NVO", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Novo Nordisk is the gift that just keeps on giving. Things are slowly turning around now and they are in Novo's favor.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish NVO on STEER trial showing Wegovy cuts CV events 57% vs tirzepatide; Lilly's LLY loses ground on the cardiovascular protection narrative.", "resolved_tickers": ["NVO"], "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": "Drug Manufacturers - General", "unit_kind": "original", "lang": "en", "tweet_text": "Novo Nordisk is the gift that just keeps on giving\n\nThe results are in, STEER (trials) demonstrates that Wegovy cuts the risk of heart attack, stroke or death by 57% (in patients suffering from obesity) when compared to Lilly’s tirzepatide\n\n2 out of 3 deaths from heart diseases are due to obesity. It’s the leading cause of disability worldwide.\n\nZepbound may still be stronger on pure weight loss, but if patients prioritize cardiovascular protection, Wegovy looks like the safer long-term bet.\n\nThings are slowly turning around now and they are in Novo's favor.\n\n$NVO $LLY", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.0014189005635409924, "ret_signed_m1d": 0.0014189005635409924, "alpha_spy_m1d": -0.0060467702948105995, "alpha_c_m1d": -0.0060467702948105995, "bench_spy_m1d": 0.007465670858351592, "bench_c_m1d": 0.007465670858351592, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.00638522789069329, "ret_signed_p1d": 0.00638522789069329, "alpha_spy_p1d": 0.0009655853442149809, "alpha_c_p1d": 0.0009655853442149809, "bench_spy_p1d": 0.005419642546478309, "bench_c_p1d": 0.005419642546478309, "ret_p1w": -0.03689253692252259, "ret_signed_p1w": -0.03689253692252259, "alpha_spy_p1w": -0.0526047775172549, "alpha_c_p1w": -0.0526047775172549, "bench_spy_p1w": 0.015712240594732307, "bench_c_p1w": 0.015712240594732307, "ret_p1m": 0.049485533688349514, "ret_signed_p1m": 0.049485533688349514, "alpha_spy_p1m": 0.0025783973308948216, "alpha_c_p1m": 0.0025783973308948216, "bench_spy_p1m": 0.04690713635745469, "bench_c_p1m": 0.04690713635745469, "ret_p3m": -0.12468964838074259, "ret_signed_p3m": -0.12468964838074259, "alpha_spy_p3m": -0.19499541433873702, "alpha_c_p3m": -0.19499541433873702, "bench_spy_p3m": 0.07030576595799443, "bench_c_p3m": 0.07030576595799443, "ret_p6m": -0.3357573673723574, "ret_signed_p6m": -0.3357573673723574, "alpha_spy_p6m": -0.4133098209437168, "alpha_c_p6m": -0.4133098209437168, "bench_spy_p6m": 0.07755245357135943, "bench_c_p6m": 0.07755245357135943, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.049485533688349514, "alpha_spy_stated": 0.0025783973308948216, "alpha_c_stated": 0.0025783973308948216, "price_path": [0.2742, 0.3089, 0.3235, 0.3914, 0.3809, 0.4215, 0.4001, 0.3509, 0.3039, 0.2981, 0.2981, 0.2939, 0.2228, 0.2405, 0.1813, 0.1874, 0.2016, 0.2106, 0.2246, 0.2246, 0.2132, 0.2132, 0.2158, 0.2214, 0.2223, 0.2455, 0.209, 0.2091, 0.179, 0.1758, 0.1451, 0.1279, 0.1386, 0.1713, 0.2283, 0.2405, 0.2576, 0.2102, -0.0539, -0.1225, -0.1744, -0.1548, -0.1439, -0.1718, -0.2041, -0.1448, -0.1041, -0.1253, -0.1269, -0.1073, -0.1064, -0.0808, -0.0466, -0.0284, -0.0369, -0.0165, 0.0106, -0.0007, -0.0184, 0.0011, -0.0048, 0.0014, 0.0014, 0.0, 0.0064, -0.0043, -0.0204, -0.0372, -0.0369, -0.0357, -0.0369, -0.0268, -0.0135, 0.0145, 0.0323, 0.097, 0.089, 0.0768, 0.056, 0.0419, -0.006, -0.0137, -0.0156, -0.0158, 0.0495, 0.0419, 0.0576, 0.058, 0.0468, 0.0573, 0.0408, 0.0098, 0.0199, 0.005, 0.006, -0.0051, -0.0357, -0.0114, -0.0284, -0.0532, -0.0559, -0.0607, -0.0619, -0.0768, -0.0889, -0.1125, -0.1227, -0.1289, -0.1442, -0.1405, -0.1751, -0.1898, -0.1852, -0.1282, -0.1085, -0.1281, -0.144, -0.1405, -0.1566, -0.1309, -0.1557, -0.1552, -0.2024, -0.1653, -0.136, -0.136, -0.1247, -0.141, -0.1587, -0.1563, -0.1488, -0.1511, -0.1705, -0.1777, -0.13, -0.108, -0.11, -0.1066, -0.1316, -0.1527, -0.1556, -0.147, -0.1469, -0.0846, -0.0678, -0.0706, -0.0871, -0.0915, -0.0976, -0.0708, -0.0225, -0.0021, 0.0034, 0.017, 0.0431, 0.0617, 0.0578, 0.0449, 0.0131, 0.1055, 0.1055, 0.0763, 0.0521, 0.1038, 0.1043, 0.1348, 0.1155, 0.0701, 0.0523, 0.0541, 0.0452, -0.1078, -0.163, -0.2313, -0.155, -0.1243, -0.1288, -0.1355, -0.1321, -0.1208, -0.1208, -0.1243, -0.1268, -0.1407, -0.1589, -0.2971, -0.3155, -0.3232, -0.3327, -0.3358]}
{"unit_id": "orig:1962609153530356020", "ticker_idx": 1, "ts": "2025-09-01T20:11:00+00:00", "symbol": "LLY", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Zepbound may still be stronger on pure weight loss, but if patients prioritize cardiovascular protection, Wegovy looks like the safer long-term bet.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish NVO on STEER trial showing Wegovy cuts CV events 57% vs tirzepatide; Lilly's LLY loses ground on the cardiovascular protection narrative.", "resolved_tickers": ["LLY"], "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": "Drug Manufacturers - General", "unit_kind": "original", "lang": "en", "tweet_text": "Novo Nordisk is the gift that just keeps on giving\n\nThe results are in, STEER (trials) demonstrates that Wegovy cuts the risk of heart attack, stroke or death by 57% (in patients suffering from obesity) when compared to Lilly’s tirzepatide\n\n2 out of 3 deaths from heart diseases are due to obesity. It’s the leading cause of disability worldwide.\n\nZepbound may still be stronger on pure weight loss, but if patients prioritize cardiovascular protection, Wegovy looks like the safer long-term bet.\n\nThings are slowly turning around now and they are in Novo's favor.\n\n$NVO $LLY", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.003550092087161283, "ret_signed_m1d": 0.003550092087161283, "alpha_spy_m1d": 0.011015762945512875, "alpha_c_m1d": 0.011015762945512875, "bench_spy_m1d": 0.007465670858351592, "bench_c_m1d": 0.007465670858351592, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.003590969660248078, "ret_signed_p1d": -0.003590969660248078, "alpha_spy_p1d": 0.0018286728862302315, "alpha_c_p1d": 0.0018286728862302315, "bench_spy_p1d": 0.005419642546478309, "bench_c_p1d": 0.005419642546478309, "ret_p1w": 0.020974199327221887, "ret_signed_p1w": -0.020974199327221887, "alpha_spy_p1w": -0.00526195873248958, "alpha_c_p1w": -0.00526195873248958, "bench_spy_p1w": 0.015712240594732307, "bench_c_p1w": 0.015712240594732307, "ret_p1m": 0.12273015804687959, "ret_signed_p1m": -0.12273015804687959, "alpha_spy_p1m": -0.0758230216894249, "alpha_c_p1m": -0.0758230216894249, "bench_spy_p1m": 0.04690713635745469, "bench_c_p1m": 0.04690713635745469, "ret_p3m": 0.4649946571343504, "ret_signed_p3m": -0.4649946571343504, "alpha_spy_p3m": -0.39468889117635597, "alpha_c_p3m": -0.39468889117635597, "bench_spy_p3m": 0.07030576595799443, "bench_c_p3m": 0.07030576595799443, "ret_p6m": 0.43540213062253286, "ret_signed_p6m": -0.43540213062253286, "alpha_spy_p6m": -0.35784967705117343, "alpha_c_p6m": -0.35784967705117343, "bench_spy_p6m": 0.07755245357135943, "bench_c_p6m": 0.07755245357135943, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.12273015804687959, "alpha_spy_stated": -0.0758230216894249, "alpha_c_stated": -0.0758230216894249, "price_path": [0.0392, 0.0449, 0.0501, 0.0955, 0.0975, 0.1021, 0.112, 0.0961, 0.0739, 0.0655, 0.0655, 0.0352, 0.0459, 0.056, 0.0753, 0.0791, 0.0524, 0.058, 0.0531, 0.0576, 0.0595, 0.0595, 0.0489, 0.0554, 0.068, 0.0731, 0.0763, 0.0849, 0.0474, 0.0719, 0.0335, 0.0474, 0.0344, 0.0538, 0.0843, 0.0931, 0.103, 0.0968, 0.0355, 0.0316, 0.0044, 0.0346, 0.0437, 0.0396, 0.013, -0.1302, -0.1509, -0.1379, -0.1322, -0.1036, -0.0711, -0.0462, -0.0505, -0.0435, -0.0405, -0.0345, -0.032, -0.0542, 0.0011, -0.0014, -0.0044, -0.0036, -0.0036, 0.0, 0.0036, 0.0105, -0.0109, 0.0047, 0.021, 0.0264, 0.0287, 0.0275, 0.0177, 0.0402, 0.0339, 0.0377, 0.0229, 0.0269, 0.016, 0.0091, -0.028, -0.0145, -0.0118, 0.0378, 0.1227, 0.1152, 0.1424, 0.1494, 0.1475, 0.1503, 0.1634, 0.1337, 0.1145, 0.105, 0.1243, 0.1145, 0.092, 0.1003, 0.0876, 0.1051, 0.1168, 0.1228, 0.1241, 0.1155, 0.1066, 0.1487, 0.1737, 0.2195, 0.2335, 0.2593, 0.2751, 0.2573, 0.3148, 0.3447, 0.3844, 0.3913, 0.3966, 0.3917, 0.4031, 0.4298, 0.4212, 0.4435, 0.4578, 0.5119, 0.5043, 0.5043, 0.465, 0.441, 0.425, 0.4079, 0.3819, 0.3762, 0.3589, 0.338, 0.3535, 0.375, 0.3997, 0.4469, 0.4361, 0.4191, 0.4397, 0.4595, 0.4664, 0.4598, 0.4671, 0.4681, 0.4694, 0.4708, 0.4639, 0.4717, 0.4187, 0.4494, 0.5094, 0.4782, 0.4488, 0.4725, 0.4673, 0.462, 0.4071, 0.4145, 0.4145, 0.4184, 0.4691, 0.4812, 0.4498, 0.4477, 0.416, 0.3946, 0.3951, 0.4128, 0.4223, 0.3669, 0.5081, 0.3906, 0.4414, 0.423, 0.3962, 0.3829, 0.4143, 0.419, 0.419, 0.4137, 0.3925, 0.3961, 0.3775, 0.4444, 0.422, 0.4038, 0.3945, 0.4354]}
{"unit_id": "orig:1962957568890028123", "ticker_idx": 0, "ts": "2025-09-02T19:15:29+00:00", "symbol": "ASML.AS", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Long $ASML.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Long ASML on unassailable lithography moat — China 20 years behind, pricing power across every node from 5nm to 2nm.", "resolved_tickers": ["ASML.AS"], "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": "original", "lang": "en", "tweet_text": "Morgan Stanley released an incredible finding about ASML today.\n\nChina is at least 20 years behind in lithography tech, and they’re the closest competition.\n\nIt’s crazy, because 20 years ago ASML was here:\n\nThere’s a lot for the competition to catch-up, and by then ASML will be much further off.\n\nEvery step in the semiconductor industry runs through ASML’s moat - from 5nm to 2nm processors. \n\nThat's the most optimal form of pricing power in any industry. \n\nLong $ASML.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.012953671924310073, "ret_signed_m1d": -0.012953671924310073, "alpha_spy_m1d": -0.020419342782661665, "alpha_c_m1d": -0.026253048795518263, "bench_spy_m1d": 0.007465670858351592, "bench_c_m1d": 0.01329937687120819, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0356629780472717, "ret_signed_p1d": 0.0356629780472717, "alpha_spy_p1d": 0.03024333550079339, "alpha_c_p1d": 0.03583758319280195, "bench_spy_p1d": 0.005419642546478309, "bench_c_p1d": -0.00017460514553024886, "ret_p1w": 0.08779786203474882, "ret_signed_p1w": 0.08779786203474882, "alpha_spy_p1w": 0.07208562144001651, "alpha_c_p1w": 0.04824894171218452, "bench_spy_p1w": 0.015712240594732307, "bench_c_p1w": 0.039548920322564296, "ret_p1m": 0.40348638120688185, "ret_signed_p1m": 0.40348638120688185, "alpha_spy_p1m": 0.35657924484942716, "alpha_c_p1m": 0.23869310450944514, "bench_spy_p1m": 0.04690713635745469, "bench_c_p1m": 0.1647932766974367, "ret_p3m": 0.48462459217413967, "ret_signed_p3m": 0.48462459217413967, "alpha_spy_p3m": 0.41431882621614524, "alpha_c_p3m": 0.2549401786860739, "bench_spy_p3m": 0.07030576595799443, "bench_c_p3m": 0.2296844134880658, "ret_p6m": 0.9417301629419357, "ret_signed_p6m": 0.9417301629419357, "alpha_spy_p6m": 0.8641777093705763, "alpha_c_p6m": 0.5188230364233037, "bench_spy_p6m": 0.07755245357135943, "bench_c_p6m": 0.42290712651863194, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.40348638120688185, "alpha_spy_stated": 0.35657924484942716, "alpha_c_stated": 0.23869310450944514, "price_path": [0.0648, 0.0848, 0.0918, 0.1009, 0.0792, 0.06, 0.0688, 0.0623, 0.0607, 0.0417, 0.0374, 0.0666, 0.1028, 0.1077, 0.0805, 0.0886, 0.0808, 0.0658, 0.0808, 0.08, 0.0517, 0.0712, 0.0828, 0.0843, 0.1006, 0.0908, 0.0962, 0.1262, -0.0018, 0.0371, 0.0104, -0.0046, -0.0392, -0.0325, -0.0176, -0.0352, 0.0048, -0.0037, 0.0035, -0.0195, -0.0485, -0.0366, -0.0451, -0.0518, -0.0233, -0.0134, 0.0027, 0.0138, 0.0245, 0.0281, 0.0182, 0.0214, 0.0272, 0.0206, 0.0147, 0.0334, 0.0342, 0.0405, 0.0558, 0.0464, 0.0181, 0.0173, -0.013, 0.0, 0.0357, 0.0558, 0.082, 0.0926, 0.0878, 0.0971, 0.1032, 0.1665, 0.1721, 0.1786, 0.2698, 0.2693, 0.2967, 0.3111, 0.2922, 0.2981, 0.2999, 0.3202, 0.3243, 0.3456, 0.4035, 0.4075, 0.435, 0.399, 0.3622, 0.359, 0.3016, 0.3498, 0.3539, 0.3961, 0.4032, 0.4004, 0.4377, 0.423, 0.3915, 0.4196, 0.4304, 0.4523, 0.4537, 0.4729, 0.5019, 0.4708, 0.4843, 0.4707, 0.4524, 0.4343, 0.3951, 0.4205, 0.4209, 0.4287, 0.4122, 0.4004, 0.404, 0.3867, 0.4204, 0.4255, 0.3361, 0.3758, 0.3782, 0.4567, 0.4374, 0.4473, 0.4846, 0.5045, 0.5434, 0.5336, 0.5245, 0.5431, 0.5266, 0.5155, 0.5074, 0.4824, 0.4915, 0.4556, 0.4002, 0.4302, 0.4444, 0.4354, 0.447, 0.4402, 0.4402, 0.4527, 0.4713, 0.4761, 0.5801, 0.6873, 0.6998, 0.685, 0.6229, 0.7328, 0.7405, 0.7664, 0.7369, 0.8414, 0.8699, 0.7949, 0.8263, 0.8501, 0.8847, 0.8875, 0.8872, 0.9507, 0.9135, 0.9096, 0.9475, 0.9622, 0.9071, 0.8273, 0.8417, 0.9125, 0.9327, 0.9138, 0.9376, 0.8926, 0.9096, 0.917, 0.9238, 0.9969, 0.9863, 1.0142, 1.004, 1.0268, 1.0669, 0.977, 0.9786, 0.9417]}
{"unit_id": "orig:1963300826065375671", "ticker_idx": 0, "ts": "2025-09-03T17:59:27+00:00", "symbol": "LVMH", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "the demand should make a return. Additionally, LVMH's reducing CapEx but stable revenues... ability to simplify their cost structure, and achieve higher long-term margins over time", "tweet_type": "analysis", "timeline": "months", "summary": "Long LVMH: Chinese demand engagement, easing tariffs, US manufacturing investment, and improving cost structure point to higher margins ahead.", "resolved_tickers": ["MC.PA"], "resolution_method": "exchange_ticker", "resolution_reason": "LVMH trades on Euronext Paris as MC.PA", "bench_c": "FEZ", "bench_c_reason": "country_fallback (suffix='PA')", "bench_c_industry": "Luxury Goods", "unit_kind": "original", "lang": "en", "tweet_text": "LVMH is going up at an incredible pace (+13% this month alone)\n\nThe biggest catalyst was the new finding from HSBC Holdings.\n\nWhile the American customers are facing short-term hurdles, the Chinese customers are bound to become more engaged.\n\nBut that alone isn’t the catalyst.\n\nIn my analysis, the chart for European spending on luxury items peaked in February, and is 21pp below that high. \n\nThis was primarily due to the introduction of tariffs, and the cut-back in spending on tourism in Europe.\n\nAs those restrictions are loosening, along with $LVMH investing in manufacturing in the U.S., the demand should make a return.\n\nAdditionally, in the chart below, a great signal is LVMH’s reducing CapEx but stable revenues.\n\nThat shows LVMH’s ability to simplify their cost structure, and achieve higher long-term margins over time.\n\nTrack LVMH, and other quality stocks in my rebound watchlist below:", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.04347823089282343, "ret_signed_m1d": 0.04347823089282343, "alpha_spy_m1d": 0.048868659244463375, "alpha_c_m1d": 0.04651321815143816, "bench_spy_m1d": -0.005390428351639942, "bench_c_m1d": -0.0030349872586147297, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.005710274997527298, "ret_signed_p1d": -0.005710274997527298, "alpha_spy_p1d": -0.014067595880821404, "alpha_c_p1d": -0.009419483708035248, "bench_spy_p1d": 0.008357320883294106, "bench_c_p1d": 0.0037092087105079496, "ret_p1w": -0.023542411315049305, "ret_signed_p1w": -0.023542411315049305, "alpha_spy_p1w": -0.03669983051638215, "alpha_c_p1w": -0.032141178615256116, "bench_spy_p1w": 0.013157419201332843, "bench_c_p1w": 0.008598767300206811, "ret_p1m": 0.10819461818615772, "ret_signed_p1m": 0.10819461818615772, "alpha_spy_p1m": 0.06573140620600504, "alpha_c_p1m": 0.03948538900066456, "bench_spy_p1m": 0.04246321198015268, "bench_c_p1m": 0.06870922918549316, "ret_p3m": 0.28569702222547044, "ret_signed_p3m": 0.28569702222547044, "alpha_spy_p3m": 0.22602086781054864, "alpha_c_p3m": 0.22272627094013675, "bench_spy_p3m": 0.0596761544149218, "bench_c_p3m": 0.06297075128533369, "ret_p6m": 0.01489633140655, "ret_signed_p6m": 0.01489633140655, "alpha_spy_p6m": -0.05745705982284055, "alpha_c_p6m": -0.11733455826590711, "bench_spy_p6m": 0.07235339122939055, "bench_c_p6m": 0.1322308896724571, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.10819461818615772, "alpha_spy_stated": 0.06573140620600504, "alpha_c_stated": 0.03948538900066456, "price_path": [-0.0552, -0.0486, -0.0571, -0.0606, -0.0755, -0.0636, -0.0769, -0.0702, -0.0933, -0.0985, -0.0988, -0.0913, -0.1088, -0.1233, -0.0998, -0.1092, -0.0602, -0.0212, -0.0264, -0.0436, -0.0476, -0.033, -0.0225, 0.0118, -0.0228, -0.0392, -0.0436, -0.0471, -0.0446, -0.0528, -0.0607, -0.0672, -0.0384, -0.0578, -0.0208, -0.0198, -0.0487, -0.0368, -0.0536, -0.075, -0.0737, -0.0854, -0.0829, -0.0761, -0.0756, -0.0823, -0.0841, -0.0591, -0.0525, -0.0461, -0.0466, -0.0184, -0.0111, -0.0283, -0.008, -0.0221, -0.0257, 0.0058, 0.0281, 0.01, 0.0092, 0.0279, 0.0435, 0.0, -0.0057, -0.0059, -0.0142, -0.0187, -0.0235, -0.0169, 0.0102, 0.0172, 0.0244, 0.0371, 0.023, 0.0158, 0.0483, 0.02, 0.0154, 0.0333, 0.0481, 0.0429, 0.0499, 0.0878, 0.1082, 0.0827, 0.122, 0.1531, 0.1204, 0.094, 0.0827, 0.0675, 0.198, 0.2066, 0.2136, 0.2264, 0.2358, 0.2486, 0.2438, 0.2272, 0.2252, 0.2314, 0.2398, 0.2224, 0.2264, 0.2358, 0.2246, 0.2278, 0.2022, 0.2086, 0.238, 0.2681, 0.2967, 0.2759, 0.2763, 0.2503, 0.2248, 0.2214, 0.2414, 0.2482, 0.2456, 0.2408, 0.2531, 0.2571, 0.2733, 0.2877, 0.2857, 0.2738, 0.2794, 0.2693, 0.2635, 0.2455, 0.2505, 0.2635, 0.2621, 0.2653, 0.2863, 0.2766, 0.2881, 0.2766, 0.2685, 0.2677, 0.2774, 0.2774, 0.2796, 0.292, 0.3035, 0.297, 0.299, 0.3023, 0.2718, 0.2823, 0.3178, 0.3101, 0.3067, 0.2891, 0.2645, 0.2311, 0.1778, 0.1519, 0.1826, 0.2039, 0.1952, 0.1883, 0.1909, 0.0969, 0.0961, 0.1052, 0.0879, 0.0691, 0.0834, 0.0876, 0.0836, 0.082, 0.0866, 0.0612, 0.06, 0.0391, 0.0474, 0.0664, 0.079, 0.0741, 0.121, 0.1277, 0.1353, 0.1176, 0.1147, 0.0996, 0.0519, 0.0149]}
{"unit_id": "orig:1963727961338921109", "ticker_idx": 0, "ts": "2025-09-04T22:16:44+00:00", "symbol": "GOOG", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "If Google re-rates to a 4-point premium (26x vs. 22x), consistent with its historical positioning and superior growth profile, that would imply a fair value of ~$276! In my opinion, this should be the base case.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Long GOOG; author agrees with BofA that it remains undervalued, sees fair value ~$276 on PE re-rating + AI/Cloud/YouTube upside.", "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": "original", "lang": "en", "tweet_text": "BofA released an incredible finding recently:\n\nGoogle $GOOG is still undervalued after its rally.\n\nThe market hasn’t priced its individual businesses yet.\n\nI agree. Here’s why Google has more potential still:\n\nHistorically, Google has traded at a slight premium to the rest of the market:\n\n10-year average: 22x forward PE vs. 18x for the S&P 500\n\nHowever, recently, it has been at a discount. \n\n$GOOG had been trading at 20x as of 9/2/25; adjusting for the bump recently, that's still only 21.8x, compared to the S&P 500's 22x.\n\nIf Google re-rates to a 4-point premium (26x vs. 22x), consistent with its historical positioning and superior growth profile, that would imply a fair value of ~$276!\n\nIn my opinion, this should be the base case. \n\nThe bull case is that Google comes out on top in the AI race.\n\nIt's not a far fetched thought. \n\nFor example, their Cloud business alone grew 32% QoQ in Q2 2025.\n\nThat’s just one division. They’ve still got Youtube, search, and other bets to capitalize on with AI.\n\nGoogle “winning” AI is a  realistic possibility, although one that does not provide for any margin of safety.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.010673132131927332, "ret_signed_m1d": -0.010673132131927332, "alpha_spy_m1d": -0.013577834164227198, "alpha_c_m1d": -0.005354372656695583, "bench_spy_m1d": 0.0029047020322998662, "bench_c_m1d": -0.005318759475231749, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.0034048194012890054, "ret_signed_p1d": -0.0034048194012890054, "alpha_spy_p1d": -0.005861588062581191, "alpha_c_p1d": -0.004538260368966096, "bench_spy_p1d": 0.0024567686612921857, "bench_c_p1d": 0.0011334409676770907, "ret_p1w": 0.027323861143023986, "ret_signed_p1w": 0.027323861143023986, "alpha_spy_p1w": 0.0116110106516083, "alpha_c_p1w": 0.004130992896123065, "bench_spy_p1w": 0.015712850491415686, "bench_c_p1w": 0.023192868246900922, "ret_p1m": 0.07043751857730274, "ret_signed_p1m": 0.07043751857730274, "alpha_spy_p1m": 0.029908415636817454, "alpha_c_p1m": 0.051025818020457026, "bench_spy_p1m": 0.040529102940485284, "bench_c_p1m": 0.019411700556845712, "ret_p3m": 0.3645726999152017, "ret_signed_p3m": 0.3645726999152017, "alpha_spy_p3m": 0.30501806086340166, "alpha_c_p3m": 0.35723547654043863, "bench_spy_p3m": 0.05955463905180003, "bench_c_p3m": 0.007337223374763058, "ret_p6m": 0.29233920189565277, "ret_signed_p6m": 0.29233920189565277, "alpha_spy_p6m": 0.22772695840258095, "alpha_c_p6m": 0.24961372463900422, "bench_spy_p6m": 0.06461224349307182, "bench_c_p6m": 0.04272547725664855, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.07043751857730274, "alpha_spy_stated": 0.029908415636817454, "alpha_c_stated": 0.051025818020457026, "price_path": [-0.2346, -0.2397, -0.2475, -0.2521, -0.2434, -0.2464, -0.2602, -0.2602, -0.2868, -0.2941, -0.2867, -0.2708, -0.2583, -0.242, -0.2457, -0.2477, -0.2356, -0.2323, -0.2323, -0.245, -0.2552, -0.2445, -0.2401, -0.229, -0.2226, -0.2214, -0.2186, -0.2146, -0.2093, -0.1872, -0.1831, -0.1857, -0.1785, -0.1747, -0.1775, -0.1647, -0.1604, -0.1799, -0.1923, -0.1676, -0.1695, -0.1626, -0.1611, -0.1407, -0.1426, -0.1319, -0.1367, -0.1333, -0.1287, -0.1313, -0.139, -0.1487, -0.1469, -0.121, -0.1106, -0.1157, -0.1146, -0.097, -0.092, -0.092, -0.0986, -0.0173, -0.0107, 0.0, -0.0034, 0.0212, 0.0196, 0.0248, 0.0273, 0.0715, 0.0701, 0.0634, 0.0739, 0.0863, 0.0763, 0.074, 0.0548, 0.0494, 0.052, 0.04, 0.0366, 0.045, 0.0488, 0.0489, 0.0704, 0.0518, 0.0447, 0.0309, 0.0108, 0.0412, 0.0478, 0.0713, 0.072, 0.0801, 0.0939, 0.0697, 0.0748, 0.0799, 0.1087, 0.1488, 0.1424, 0.1711, 0.1998, 0.1994, 0.2092, 0.1834, 0.2119, 0.2144, 0.1904, 0.2368, 0.2417, 0.2233, 0.1879, 0.1788, 0.2155, 0.2128, 0.247, 0.2342, 0.2753, 0.3554, 0.3774, 0.3631, 0.3631, 0.3624, 0.3412, 0.345, 0.3646, 0.3551, 0.3708, 0.3392, 0.3532, 0.3671, 0.336, 0.3224, 0.3173, 0.3106, 0.2694, 0.2936, 0.3143, 0.3259, 0.3444, 0.3444, 0.3414, 0.3389, 0.3396, 0.3364, 0.3429, 0.3514, 0.3396, 0.3732, 0.3884, 0.4017, 0.417, 0.4328, 0.4323, 0.4189, 0.4069, 0.4069, 0.372, 0.3985, 0.409, 0.3987, 0.4207, 0.4267, 0.4322, 0.4423, 0.4417, 0.4689, 0.451, 0.4196, 0.4111, 0.376, 0.3816, 0.357, 0.3259, 0.3176, 0.3033, 0.3033, 0.2897, 0.2944, 0.2928, 0.3411, 0.3274, 0.3242, 0.3331, 0.3081, 0.3263, 0.3047, 0.2928, 0.2923]}
{"unit_id": "orig:1966866636448960826", "ticker_idx": 0, "ts": "2025-09-13T14:08:43+00:00", "symbol": "GOOG", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "only one company is doing that - Google. $GOOG … Google will win again", "tweet_type": "analysis", "timeline": "years", "summary": "Bullish GOOG: only company conquering all 3 AI pillars (hardware, models, distribution), positioned to win the AI race.", "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": "original", "lang": "en", "tweet_text": "I’m convinced that only one company will win the AI arms race.\n\nIt’s simple.\n\nThere are three pillars of the AI ecosystem - Hardware, Models and Distribution.\n\nConquering all 3 means you’ve won the AI race.\n\nAnd currently, only one company is doing that - Google. $GOOG\n\nGoogle has time and again displayed its capability to be a leader in trillion dollar market.\n\nAnd I believe, with AI, Google will win again.\n\nTo expand on this further, I created a 2-part report breaking-down and fairly valuing Google.\n\nThe first part is out now, for free:", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.04122968589366882, "ret_signed_m1d": -0.04122968589366882, "alpha_spy_m1d": -0.0359339170743892, "alpha_c_m1d": -0.02736412270899402, "bench_spy_m1d": -0.005295768819279623, "bench_c_m1d": -0.0138655631846748, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.0013504529980961077, "ret_signed_p1d": -0.0013504529980961077, "alpha_spy_p1d": 2.6338581709861586e-05, "alpha_c_p1d": 0.002683214957296287, "bench_spy_p1d": -0.0013767915798059693, "bench_c_p1d": -0.004033667955392395, "ret_p1w": 0.004448697512434929, "ret_signed_p1w": 0.004448697512434929, "alpha_spy_p1w": -0.007321306489551205, "alpha_c_p1w": 0.004502904753925119, "bench_spy_p1w": 0.011770004001986134, "bench_c_p1w": -5.420724149018952e-05, "ret_p1m": -0.022124219206735463, "ret_signed_p1m": -0.022124219206735463, "alpha_spy_p1m": -0.026899524393201313, "alpha_c_p1m": 0.011576325449449754, "bench_spy_p1m": 0.00477530518646585, "bench_c_p1m": -0.033700544656185216, "ret_p3m": 0.246840982671656, "ret_signed_p3m": 0.246840982671656, "alpha_spy_p3m": 0.20119070099195713, "alpha_c_p3m": 0.26182100779005824, "bench_spy_p3m": 0.04565028167969887, "bench_c_p3m": -0.01498002511840224, "ret_p6m": 0.20599606475154308, "ret_signed_p6m": 0.20599606475154308, "alpha_spy_p6m": 0.1924234862193328, "alpha_c_p6m": 0.23081564552377365, "bench_spy_p6m": 0.013572578532210278, "bench_c_p6m": -0.024819580772230565, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 252, "stated_label": "p1y", "ret_signed_stated": null, "alpha_spy_stated": null, "alpha_c_stated": null, "price_path": [-0.3096, -0.3096, -0.3344, -0.3412, -0.3343, -0.3194, -0.3078, -0.2925, -0.296, -0.2979, -0.2866, -0.2835, -0.2835, -0.2954, -0.3049, -0.295, -0.2908, -0.2805, -0.2745, -0.2734, -0.2707, -0.267, -0.2621, -0.2414, -0.2376, -0.24, -0.2333, -0.2298, -0.2324, -0.2205, -0.2165, -0.2346, -0.2462, -0.2232, -0.2249, -0.2185, -0.2171, -0.198, -0.1998, -0.1898, -0.1943, -0.1911, -0.1868, -0.1893, -0.1964, -0.2055, -0.2038, -0.1796, -0.17, -0.1748, -0.1737, -0.1572, -0.1526, -0.1526, -0.1587, -0.0829, -0.0767, -0.0667, -0.0699, -0.0469, -0.0485, -0.0436, -0.0412, 0.0, -0.0014, -0.0076, 0.0023, 0.0138, 0.0044, 0.0023, -0.0156, -0.0206, -0.0182, -0.0294, -0.0326, -0.0247, -0.0212, -0.0211, -0.001, -0.0184, -0.025, -0.0379, -0.0567, -0.0283, -0.0221, -0.0002, 0.0005, 0.0081, 0.0209, -0.0017, 0.0031, 0.0078, 0.0348, 0.0722, 0.0662, 0.093, 0.1197, 0.1194, 0.1285, 0.1045, 0.131, 0.1334, 0.111, 0.1542, 0.1588, 0.1417, 0.1087, 0.1002, 0.1344, 0.1319, 0.1638, 0.1518, 0.1902, 0.265, 0.2855, 0.2722, 0.2722, 0.2715, 0.2517, 0.2552, 0.2735, 0.2647, 0.2794, 0.2498, 0.2629, 0.2759, 0.2468, 0.2342, 0.2294, 0.2231, 0.1847, 0.2073, 0.2266, 0.2374, 0.2547, 0.2547, 0.2518, 0.2496, 0.2502, 0.2472, 0.2533, 0.2612, 0.2502, 0.2815, 0.2958, 0.3082, 0.3225, 0.3372, 0.3367, 0.3242, 0.313, 0.313, 0.2805, 0.3052, 0.315, 0.3054, 0.3259, 0.3315, 0.3366, 0.346, 0.3455, 0.3708, 0.3542, 0.3249, 0.3169, 0.2842, 0.2894, 0.2664, 0.2374, 0.2296, 0.2163, 0.2163, 0.2036, 0.208, 0.2065, 0.2516, 0.2389, 0.2358, 0.2442, 0.2208, 0.2378, 0.2177, 0.2065, 0.2061, 0.196, 0.1856, 0.2171, 0.2208, 0.2267, 0.206]}
{"unit_id": "orig:1966916536293355944", "ticker_idx": 0, "ts": "2025-09-13T17:27:00+00:00", "symbol": "ADBE", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "I'm convinced that Adobe will adapt AI into its services faster than challengers can displace them", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish ADBE post-earnings: AI integration will outpace competitive displacement.", "resolved_tickers": ["ADBE"], "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": "Is $ADBE Adobe a good buy right now? \n\nWhen I first started looking at Adobe, it was one of the worst-performing large-cap tech stocks.\n\nDown 25% in 2024 and another 23% in 2025.\n\nBut, after their earnings call, I’m convinced that Adobe will adapt AI into its services faster than challengers can displace them 👇", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.006511032003188477, "ret_signed_m1d": 0.006511032003188477, "alpha_spy_m1d": 0.0118068008224681, "alpha_c_m1d": 0.0118068008224681, "bench_spy_m1d": -0.005295768819279623, "bench_c_m1d": -0.005295768819279623, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.016220123260768382, "ret_signed_p1d": 0.016220123260768382, "alpha_spy_p1d": 0.01759691484057435, "alpha_c_p1d": 0.01759691484057435, "bench_spy_p1d": -0.0013767915798059693, "bench_c_p1d": -0.0013767915798059693, "ret_p1w": 0.04891956257611252, "ret_signed_p1w": 0.04891956257611252, "alpha_spy_p1w": 0.037149558574126385, "alpha_c_p1w": 0.037149558574126385, "bench_spy_p1w": 0.011770004001986134, "bench_c_p1w": 0.011770004001986134, "ret_p1m": -0.0321521275305916, "ret_signed_p1m": -0.0321521275305916, "alpha_spy_p1m": -0.03692743271705745, "alpha_c_p1m": -0.03692743271705745, "bench_spy_p1m": 0.00477530518646585, "bench_c_p1m": 0.00477530518646585, "ret_p3m": 0.009593738155315723, "ret_signed_p3m": 0.009593738155315723, "alpha_spy_p3m": -0.036056543524383144, "alpha_c_p3m": -0.036056543524383144, "bench_spy_p3m": 0.04565028167969887, "bench_c_p3m": 0.04565028167969887, "ret_p6m": -0.2227600287081516, "ret_signed_p6m": -0.2227600287081516, "alpha_spy_p6m": -0.23633260724036187, "alpha_c_p6m": -0.23633260724036187, "bench_spy_p6m": 0.013572578532210278, "bench_c_p6m": 0.013572578532210278, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.0321521275305916, "alpha_spy_stated": -0.03692743271705745, "alpha_c_stated": -0.03692743271705745, "price_path": [0.0891, 0.0891, 0.0859, 0.0951, 0.1015, 0.1165, 0.109, 0.1116, 0.1146, 0.1296, 0.0904, 0.0928, 0.0928, 0.0859, 0.1012, 0.0757, 0.0701, 0.0468, 0.0573, 0.0492, 0.0423, 0.0557, 0.0538, 0.0593, 0.0742, 0.0731, 0.0708, 0.0681, 0.0644, 0.068, 0.0487, 0.0305, 0.002, -0.0238, -0.0241, -0.0043, -0.0254, -0.0174, -0.0387, -0.025, 0.0114, 0.0043, 0.0223, 0.0292, 0.0401, 0.0182, 0.0182, 0.0432, 0.0464, 0.0225, 0.0266, 0.0198, 0.0277, 0.0277, -0.0042, 0.004, -0.008, 0.0054, 0.0333, 0.0201, 0.0088, 0.0099, 0.0065, 0.0, 0.0162, 0.0431, 0.0587, 0.0542, 0.0489, 0.0423, 0.0178, 0.0203, 0.0382, 0.0355, 0.0163, -0.0097, 0.0126, -0.001, 0.0088, 0.0035, 0.0048, 0.0011, -0.0276, -0.0224, -0.0322, -0.0475, -0.0515, -0.0399, -0.0107, 0.0301, 0.0201, 0.0202, 0.0185, 0.0308, 0.0369, -0.0266, -0.0226, -0.0196, -0.0277, -0.0339, -0.0333, -0.0569, -0.0581, -0.0526, -0.04, -0.029, -0.0389, -0.0461, -0.0635, -0.0652, -0.0835, -0.1, -0.066, -0.0817, -0.0794, -0.0852, -0.0852, -0.0777, -0.0699, -0.07, -0.0585, -0.0529, -0.0024, -0.023, -0.008, -0.0114, 0.0096, 0.0269, 0.0117, 0.0023, 0.0218, 0.0251, 0.0252, 0.03, 0.0153, 0.0169, 0.0193, 0.0175, 0.0156, 0.0083, -0.0398, -0.0448, -0.032, -0.0259, -0.0232, -0.0379, -0.056, -0.1071, -0.1229, -0.1239, -0.1469, -0.1469, -0.1634, -0.1523, -0.1365, -0.1326, -0.1221, -0.1431, -0.1369, -0.1598, -0.1551, -0.1548, -0.2166, -0.1942, -0.2239, -0.2268, -0.2311, -0.2375, -0.2591, -0.2437, -0.2395, -0.2395, -0.2496, -0.2418, -0.2532, -0.2549, -0.2893, -0.2649, -0.2572, -0.2537, -0.244, -0.2484, -0.2193, -0.2131, -0.1883, -0.1829, -0.1863, -0.2073, -0.2114, -0.2228]}
{"unit_id": "orig:1967697928899923993", "ticker_idx": 0, "ts": "2025-09-15T21:11:58+00:00", "symbol": "GOOGL", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": false, "explicit_audit": "flipped_to_implicit", "polarity_reversed": false, "quote": "Google is still so undervalued right now… I've bought more Google today", "tweet_type": "position_disclosure", "timeline": "unspecified", "summary": "Added to Google long; sum-of-parts analysis shows deep undervaluation even accounting for elevated capex.", "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": "original", "lang": "en", "tweet_text": "Google is still so undervalued right now.\n\nI just did a Sum-of-parts evaluation, and it’s nuts how Google is trading at this valuation.\n\n“But capex!” - yup, and that’s the point.\n\nThus, I’ve bought more Google today.\n\nYou can play around with my models where I valued Google (with your own assumptions) to understand the valuation (model attached in the link)", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.0017916494271719152, "ret_signed_m1d": 0.0017916494271719152, "alpha_spy_m1d": 0.0004129596789292922, "alpha_c_m1d": -0.0022583549008978743, "bench_spy_m1d": 0.001378689748242623, "bench_c_m1d": 0.0040500043280697895, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.006489943102210627, "ret_signed_p1d": -0.006489943102210627, "alpha_spy_p1d": -0.005247486040518723, "alpha_c_p1d": -0.009105622499659849, "bench_spy_p1d": -0.001242457061691904, "bench_c_p1d": 0.002615679397449222, "ret_p1w": 0.0019907621671670928, "ret_signed_p1w": 0.0019907621671670928, "alpha_spy_p1w": -0.005658932263010508, "alpha_c_p1w": -0.0005654714526530658, "bench_spy_p1w": 0.0076496944301776, "bench_c_p1w": 0.0025562336198201585, "ret_p1m": -0.0005175957285782351, "ret_signed_p1m": -0.0005175957285782351, "alpha_spy_p1m": -0.011145054310148228, "alpha_c_p1m": 0.022411331629724418, "bench_spy_p1m": 0.010627458581569993, "bench_c_p1m": -0.022928927358302653, "ret_p3m": 0.2322515888995773, "ret_signed_p3m": 0.2322515888995773, "alpha_spy_p3m": 0.19641799773396307, "alpha_c_p3m": 0.24544366290018427, "bench_spy_p3m": 0.03583359116561424, "bench_c_p3m": -0.013192074000606957, "ret_p6m": 0.20517055184056332, "ret_signed_p6m": 0.20517055184056332, "alpha_spy_p6m": 0.19594543906056283, "alpha_c_p6m": 0.23300590685179023, "bench_spy_p6m": 0.009225112780000488, "bench_c_p6m": -0.027835355011226914, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.0005175957285782351, "alpha_spy_stated": -0.011145054310148228, "alpha_c_stated": 0.022411331629724418, "price_path": [-0.3105, -0.3371, -0.3429, -0.3366, -0.321, -0.3097, -0.2898, -0.299, -0.3005, -0.2894, -0.2858, -0.2858, -0.2967, -0.3064, -0.2974, -0.2934, -0.2832, -0.2778, -0.276, -0.2722, -0.2697, -0.2638, -0.2438, -0.2389, -0.2433, -0.2356, -0.2315, -0.2339, -0.2213, -0.2182, -0.2366, -0.2476, -0.2241, -0.2256, -0.22, -0.2182, -0.1988, -0.2004, -0.1911, -0.1966, -0.1927, -0.1889, -0.1905, -0.1982, -0.2071, -0.2054, -0.1802, -0.1706, -0.176, -0.1747, -0.1581, -0.1531, -0.1531, -0.1593, -0.0824, -0.0759, -0.0652, -0.0682, -0.0459, -0.0477, -0.043, -0.0412, 0.0018, 0.0, -0.0065, 0.0035, 0.0142, 0.0055, 0.002, -0.016, -0.0214, -0.0184, -0.0283, -0.0321, -0.0249, -0.0218, -0.0231, -0.0029, -0.0215, -0.026, -0.0383, -0.0581, -0.0279, -0.0227, -0.0005, 0.0012, 0.0085, 0.0215, -0.0028, 0.0021, 0.0076, 0.0349, 0.0721, 0.0649, 0.0932, 0.1207, 0.1196, 0.1296, 0.105, 0.132, 0.1337, 0.1102, 0.155, 0.1599, 0.1415, 0.1091, 0.1005, 0.1348, 0.1319, 0.1658, 0.1525, 0.1931, 0.2684, 0.2878, 0.2739, 0.2739, 0.2748, 0.2537, 0.2574, 0.2726, 0.2646, 0.2791, 0.2499, 0.2633, 0.2758, 0.2448, 0.2323, 0.228, 0.2214, 0.1822, 0.205, 0.2238, 0.2342, 0.2524, 0.2514, 0.2491, 0.2493, 0.2504, 0.247, 0.2556, 0.2611, 0.2524, 0.2828, 0.2966, 0.3091, 0.3222, 0.3385, 0.338, 0.3258, 0.3148, 0.3148, 0.2829, 0.3083, 0.3169, 0.3065, 0.3278, 0.3329, 0.3387, 0.3476, 0.3466, 0.3693, 0.3534, 0.3269, 0.3197, 0.2863, 0.2921, 0.2693, 0.2389, 0.2311, 0.218, 0.218, 0.2033, 0.2085, 0.2066, 0.2549, 0.241, 0.2387, 0.2466, 0.2246, 0.2421, 0.2212, 0.2095, 0.2077, 0.1987, 0.1893, 0.2214, 0.2241, 0.2308, 0.2102, 0.2052]}
{"unit_id": "orig:1967730398588199353", "ticker_idx": 0, "ts": "2025-09-15T23:21:00+00:00", "symbol": "UNH", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "UNH is moving in the right direction. If UNH's analysis is correct, both the insurer and customers win. The hallmark of a great business.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish UNH: star ratings boost revenue, forecast maintained, acquisitions covered; called a great business moving in the right direction.", "resolved_tickers": ["UNH"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLV", "bench_c_reason": "industry='Healthcare Plans'", "bench_c_industry": "Healthcare Plans", "unit_kind": "original", "lang": "en", "tweet_text": "$UNH is up 11% this week, and 38% this month alone!\n\nWhat changed?\n\nUNH revealed that about 78% of members could be enrolled in plans with four stars or higher for the 2027 payment year.\n\nThe CMS assigns these ratings, and plans that score four stars or better qualify for bonus payments, which can boost revenue for insurers.\n\nIn this case, UNH.\n\nAdditionally, UNH maintained its forecast for the year, which is a great signal for the company.\n\nIt’s still slightly below analyst expectations but it covers their recent acquisitions like Amedisys.\n\nOverall, UNH is moving in the right direction.\n\nIf UNH’s analysis is correct, both the insurer and customers win.\n\nThe hallmark of a great business.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.023868502605226327, "ret_signed_m1d": 0.023868502605226327, "alpha_spy_m1d": 0.022489812856983704, "alpha_c_m1d": 0.023868502605226327, "bench_spy_m1d": 0.001378689748242623, "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": 0.005385857217323542, "ret_signed_p1d": 0.005385857217323542, "alpha_spy_p1d": 0.006628314279015446, "alpha_c_p1d": 0.0034139297455233475, "bench_spy_p1d": -0.001242457061691904, "bench_c_p1d": 0.0019719274718001945, "ret_p1w": 0.023279788180109895, "ret_signed_p1w": 0.023279788180109895, "alpha_spy_p1w": 0.015630093749932295, "alpha_c_p1w": 0.018633195973962735, "bench_spy_p1w": 0.0076496944301776, "bench_c_p1w": 0.00464659220614716, "ret_p1m": 0.06289365236816424, "ret_signed_p1m": 0.06289365236816424, "alpha_spy_p1m": 0.05226619378659425, "alpha_c_p1m": 0.01701640598709675, "bench_spy_p1m": 0.010627458581569993, "bench_c_p1m": 0.045877246381067494, "ret_p3m": 0.012826991273390043, "ret_signed_p3m": 0.012826991273390043, "alpha_spy_p3m": -0.0230065998922242, "alpha_c_p3m": -0.11741886359152343, "bench_spy_p3m": 0.03583359116561424, "bench_c_p3m": 0.13024585486491347, "ret_p6m": -0.15770664206236262, "ret_signed_p6m": -0.15770664206236262, "alpha_spy_p6m": -0.1669317548423631, "alpha_c_p6m": -0.26130562512285704, "bench_spy_p6m": 0.009225112780000488, "bench_c_p6m": 0.10359898306049442, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.06289365236816424, "alpha_spy_stated": 0.05226619378659425, "alpha_c_stated": 0.01701640598709675, "price_path": [-0.1016, -0.1167, -0.1206, -0.1062, -0.1167, -0.1149, -0.096, -0.0876, -0.0462, -0.1005, -0.0976, -0.0976, -0.1118, -0.1001, -0.1141, -0.124, -0.1106, -0.1209, -0.1469, -0.1446, -0.1575, -0.1734, -0.1748, -0.1661, -0.1445, -0.1853, -0.178, -0.1749, -0.2365, -0.2219, -0.2701, -0.3046, -0.2952, -0.2659, -0.2812, -0.2844, -0.2662, -0.2619, -0.235, -0.2051, -0.206, -0.1109, -0.0978, -0.1102, -0.1231, -0.1128, -0.1009, -0.1084, -0.1214, -0.1113, -0.1159, -0.0937, -0.0937, -0.0969, -0.0996, -0.0923, -0.0776, -0.0634, 0.0175, 0.0142, 0.0342, 0.031, 0.0239, 0.0, 0.0054, -0.0146, -0.0091, 0.0045, 0.0233, 0.0354, 0.017, 0.0127, 0.0159, 0.0162, 0.0251, 0.041, 0.0601, 0.0559, 0.0703, 0.0887, 0.0821, 0.0433, 0.0556, 0.0593, 0.0629, 0.0497, 0.0495, 0.0727, 0.0753, 0.0639, 0.0608, 0.0669, 0.0771, 0.0826, 0.0456, 0.0146, 0.0052, -0.0176, -0.0263, -0.0354, -0.0536, -0.0458, -0.0536, -0.0363, -0.0021, -0.0214, -0.0527, -0.0567, -0.0771, -0.0903, -0.0831, -0.0583, -0.061, -0.0397, -0.0296, -0.0296, -0.0295, -0.0488, -0.0449, -0.0002, -0.0185, -0.0261, -0.0412, -0.0412, -0.0271, -0.0023, 0.0128, 0.0106, -0.0098, -0.0174, -0.0278, -0.0299, -0.0366, -0.0377, -0.0294, -0.0168, -0.0254, -0.0159, -0.0219, -0.0033, 0.0134, 0.034, 0.0124, 0.0277, 0.0192, 0.0089, -0.0106, -0.0076, 0.0043, -0.0192, -0.0192, 0.0027, 0.0303, 0.0502, 0.0556, 0.0419, -0.1624, -0.1289, -0.134, -0.1499, -0.1538, -0.158, -0.1825, -0.2043, -0.1803, -0.1831, -0.1905, -0.1736, -0.1574, -0.1313, -0.1313, -0.1435, -0.1461, -0.141, -0.1408, -0.1635, -0.1883, -0.158, -0.1507, -0.1311, -0.1262, -0.1431, -0.135, -0.1444, -0.1512, -0.1485, -0.157, -0.1483, -0.1728, -0.1577]}
{"unit_id": "quote:1967868894787538949", "ticker_idx": 0, "ts": "2025-09-16T08:31:20+00:00", "symbol": "ASML.AS", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Eventually, the stock price has to reflect its fundamentals.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish ASML; momentum building and fundamentals will eventually be reflected in the price.", "resolved_tickers": ["ASML.AS"], "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": "$ASML is quietly up 9% past week and 16% over the last month.\n\nEventually, the stock price has to reflect its fundamentals. https://t.co/NBTU2Jj2iC", "reply_text": null, "parent_text": null, "quoted_text": "Every iPhone, every console, and even every query to ChatGPT, in a way, pays a toll to this company. \n\nThey’re the biggest company that makes the equipment to make semiconductor chips. \n\nAnd, they have zero competition. \n\nTheir stock is down -30% right now. \n\nThis is why you https://t.co/qX1X63LRzy", "parent_author": null, "ret_m1d": -0.004775622515426292, "ret_signed_m1d": -0.004775622515426292, "alpha_spy_m1d": -0.006154312263668915, "alpha_c_m1d": -0.004645483610580037, "bench_spy_m1d": 0.001378689748242623, "bench_c_m1d": -0.00013013890484625534, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.005594094942466654, "ret_signed_p1d": 0.005594094942466654, "alpha_spy_p1d": 0.006836552004158558, "alpha_c_p1d": 0.011974089982041969, "bench_spy_p1d": -0.001242457061691904, "bench_c_p1d": -0.006379995039575315, "ret_p1w": 0.11856999739287732, "ret_signed_p1w": 0.11856999739287732, "alpha_spy_p1w": 0.11092030296269972, "alpha_c_p1w": 0.07140351296385772, "bench_spy_p1w": 0.0076496944301776, "bench_c_p1w": 0.047166484429019606, "ret_p1m": 0.19115827076601688, "ret_signed_p1m": 0.19115827076601688, "alpha_spy_p1m": 0.1805308121844469, "alpha_c_p1m": 0.07862937190756236, "bench_spy_p1m": 0.010627458581569993, "bench_c_p1m": 0.11252889885845452, "ret_p3m": 0.2647470295629628, "ret_signed_p3m": 0.2647470295629628, "alpha_spy_p3m": 0.22891343839734857, "alpha_c_p3m": 0.11205014987737671, "bench_spy_p3m": 0.03583359116561424, "bench_c_p3m": 0.1526968796855861, "ret_p6m": 0.6145009938713362, "ret_signed_p6m": 0.6145009938713362, "alpha_spy_p6m": 0.6052758810913357, "alpha_c_p6m": 0.34977912990754634, "bench_spy_p6m": 0.009225112780000488, "bench_c_p6m": 0.2647218639637898, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.19115827076601688, "alpha_spy_stated": 0.1805308121844469, "alpha_c_stated": 0.07862937190756236, "price_path": [-0.1112, -0.1149, -0.09, -0.0591, -0.0549, -0.0782, -0.0712, -0.0779, -0.0907, -0.0779, -0.0786, -0.1027, -0.0861, -0.0761, -0.0749, -0.061, -0.0693, -0.0647, -0.0391, -0.1484, -0.1152, -0.1379, -0.1507, -0.1802, -0.1745, -0.1619, -0.1768, -0.1427, -0.15, -0.1438, -0.1635, -0.1882, -0.1781, -0.1853, -0.191, -0.1667, -0.1583, -0.1445, -0.1351, -0.1259, -0.1228, -0.1313, -0.1285, -0.1236, -0.1292, -0.1343, -0.1183, -0.1176, -0.1123, -0.0992, -0.1072, -0.1314, -0.1321, -0.1579, -0.1468, -0.1164, -0.0992, -0.0768, -0.0678, -0.0719, -0.064, -0.0588, -0.0048, 0.0, 0.0056, 0.0834, 0.083, 0.1063, 0.1186, 0.1025, 0.1075, 0.109, 0.1263, 0.1299, 0.148, 0.1974, 0.2008, 0.2243, 0.1936, 0.1622, 0.1595, 0.1105, 0.1516, 0.1551, 0.1912, 0.1972, 0.1948, 0.2266, 0.2141, 0.1872, 0.2112, 0.2204, 0.2391, 0.2403, 0.2567, 0.2814, 0.2549, 0.2664, 0.2548, 0.2392, 0.2237, 0.1903, 0.212, 0.2123, 0.219, 0.2049, 0.1948, 0.1979, 0.1831, 0.2118, 0.2162, 0.14, 0.1739, 0.1759, 0.2429, 0.2263, 0.2348, 0.2667, 0.2836, 0.3168, 0.3085, 0.3007, 0.3166, 0.3025, 0.293, 0.2861, 0.2647, 0.2725, 0.2419, 0.1946, 0.2202, 0.2324, 0.2247, 0.2345, 0.2288, 0.2288, 0.2395, 0.2553, 0.2594, 0.3481, 0.4396, 0.4502, 0.4377, 0.3846, 0.4784, 0.4849, 0.5071, 0.4819, 0.5711, 0.5954, 0.5314, 0.5582, 0.5784, 0.608, 0.6104, 0.6102, 0.6643, 0.6326, 0.6293, 0.6615, 0.6741, 0.6271, 0.559, 0.5713, 0.6317, 0.649, 0.6328, 0.6531, 0.6148, 0.6293, 0.6356, 0.6413, 0.7037, 0.6947, 0.7185, 0.7098, 0.7292, 0.7634, 0.6868, 0.6881, 0.6567, 0.5901, 0.6421, 0.6233, 0.5699, 0.5707, 0.6424, 0.6408, 0.6156, 0.6145]}
{"unit_id": "orig:1968352456330666377", "ticker_idx": 0, "ts": "2025-09-17T16:32:50+00:00", "symbol": "GOOG", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Long $GOOG.", "tweet_type": "prediction", "timeline": "years", "summary": "Long GOOG on data centre demand tripling by 2030, with Google Cloud growing 30% QoQ from 12% market share.", "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": "original", "lang": "en", "tweet_text": "According to Mckinsey, data centre demand will nearly 3x by 2030.\n\n70% of that will come from AI.\n\nIn my eyes, one stock has the potential to be at the forefront of this.\n\nAnd that’s Google.\n\nGoogle cloud is only 12% of the market right now. But it’s growing 30% QoQ.\n\nCan you imagine where it’ll be in 2030?\n\nThis is just cloud growth. Google is expanding everywhere.\n\nWe’re still early. Long $GOOG.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.006283755143680958, "ret_signed_m1d": 0.006283755143680958, "alpha_spy_m1d": 0.005039752462072444, "alpha_c_m1d": 0.008892610611631824, "bench_spy_m1d": 0.0012440026816085137, "bench_c_m1d": -0.0026088554679508658, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.009925934420212723, "ret_signed_p1d": 0.009925934420212723, "alpha_spy_p1d": 0.005253434883858432, "alpha_c_p1d": 0.009168677860351027, "bench_spy_p1d": 0.004672499536354291, "bench_c_p1d": 0.0007572565598616965, "ret_p1w": -0.008084926948669358, "ret_signed_p1w": -0.008084926948669358, "alpha_spy_p1w": -0.013778149034510134, "alpha_c_p1w": 0.00025016115944465067, "bench_spy_p1w": 0.005693222085840777, "bench_c_p1w": -0.008335088108114008, "ret_p1m": 0.008124884998224502, "ret_signed_p1m": 0.008124884998224502, "alpha_spy_p1m": 0.0031314612300403777, "alpha_c_p1m": 0.043989837704470736, "bench_spy_p1m": 0.004993423768184124, "bench_c_p1m": -0.035864952706246234, "ret_p3m": 0.2388304860214443, "ret_signed_p3m": 0.2388304860214443, "alpha_spy_p3m": 0.20327530161124696, "alpha_c_p3m": 0.2544281638286716, "bench_spy_p3m": 0.03555518441019734, "bench_c_p3m": -0.015597677807227317, "ret_p6m": 0.22006488869051966, "ret_signed_p6m": 0.22006488869051966, "alpha_spy_p6m": 0.1993007725882212, "alpha_c_p6m": 0.2429810012676813, "bench_spy_p6m": 0.020764116102298447, "bench_c_p6m": -0.02291611257716164, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 252, "stated_label": "p1y", "ret_signed_stated": null, "alpha_spy_stated": null, "alpha_c_stated": null, "price_path": [-0.3293, -0.3362, -0.3292, -0.3142, -0.3025, -0.2871, -0.2906, -0.2926, -0.2812, -0.278, -0.278, -0.29, -0.2996, -0.2896, -0.2854, -0.275, -0.269, -0.2678, -0.2651, -0.2614, -0.2565, -0.2356, -0.2318, -0.2342, -0.2274, -0.2239, -0.2265, -0.2145, -0.2105, -0.2288, -0.2404, -0.2172, -0.2189, -0.2126, -0.2111, -0.1919, -0.1937, -0.1836, -0.1881, -0.185, -0.1806, -0.1831, -0.1903, -0.1995, -0.1978, -0.1734, -0.1636, -0.1684, -0.1674, -0.1508, -0.1461, -0.1461, -0.1523, -0.0759, -0.0696, -0.0596, -0.0628, -0.0397, -0.0412, -0.0363, -0.0339, 0.0076, 0.0063, 0.0, 0.0099, 0.0216, 0.0121, 0.01, -0.0081, -0.0131, -0.0107, -0.022, -0.0252, -0.0173, -0.0137, -0.0136, 0.0066, -0.0109, -0.0176, -0.0306, -0.0495, -0.0209, -0.0146, 0.0074, 0.0081, 0.0158, 0.0287, 0.006, 0.0107, 0.0155, 0.0427, 0.0804, 0.0744, 0.1013, 0.1283, 0.128, 0.1372, 0.1129, 0.1397, 0.142, 0.1195, 0.1631, 0.1677, 0.1504, 0.1172, 0.1086, 0.1431, 0.1405, 0.1727, 0.1606, 0.1993, 0.2746, 0.2953, 0.2819, 0.2819, 0.2812, 0.2612, 0.2648, 0.2832, 0.2743, 0.2891, 0.2594, 0.2726, 0.2856, 0.2564, 0.2436, 0.2388, 0.2325, 0.1937, 0.2165, 0.236, 0.2469, 0.2643, 0.2643, 0.2614, 0.2591, 0.2598, 0.2568, 0.2629, 0.2709, 0.2598, 0.2913, 0.3057, 0.3182, 0.3326, 0.3474, 0.3469, 0.3343, 0.323, 0.323, 0.2903, 0.3152, 0.325, 0.3154, 0.336, 0.3417, 0.3468, 0.3563, 0.3558, 0.3813, 0.3645, 0.335, 0.327, 0.294, 0.2992, 0.2761, 0.2469, 0.239, 0.2256, 0.2256, 0.2128, 0.2173, 0.2158, 0.2612, 0.2483, 0.2452, 0.2537, 0.2301, 0.2473, 0.227, 0.2158, 0.2153, 0.2051, 0.1947, 0.2264, 0.2301, 0.2361, 0.2152, 0.2082, 0.2201]}
{"unit_id": "orig:1968741544774775154", "ticker_idx": 0, "ts": "2025-09-18T18:18:56+00:00", "symbol": "GOOG", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Long $GOOG", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Long GOOG: Gemini-Chrome integration beats Perplexity/OpenAI browsers to AI-first search, antitrust win unleashes execution speed.", "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": "original", "lang": "en", "tweet_text": "Google just solved the final piece of the puzzle. \n\nWeeks after winning the anti-trust suit, Google has now fully integrated Gemini into Chrome. \n\nPerplexity and OpenAI's browsers were meant to disrupt Google with their AI-first approach. \n\nGoogle just beat them to it. \n\nIt's incredible the speed and consistency at which this company can move when it's unleashed. \n\nLong $GOOG", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.009828378578980668, "ret_signed_m1d": -0.009828378578980668, "alpha_spy_m1d": -0.005177609757787027, "alpha_c_m1d": -0.009071695022705661, "bench_spy_m1d": -0.0046507688211936404, "bench_c_m1d": -0.0007566835562750063, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.011532535361889362, "ret_signed_p1d": 0.011532535361889362, "alpha_spy_p1d": 0.006579666910996096, "alpha_c_p1d": 0.007412027009299438, "bench_spy_p1d": 0.004952868450893266, "bench_c_p1d": 0.004120508352589924, "ret_p1w": -0.022827254632869498, "ret_signed_p1w": -0.022827254632869498, "alpha_spy_p1w": -0.019225075303659245, "alpha_c_p1w": -0.010366336903302131, "bench_spy_p1w": -0.0036021793292102533, "bench_c_p1w": -0.012460917729567367, "ret_p1m": 0.00578605034430324, "ret_signed_p1m": 0.00578605034430324, "alpha_spy_p1m": -0.00021158709122692798, "alpha_c_p1m": 0.03588299587757382, "bench_spy_p1m": 0.005997637435530168, "bench_c_p1m": -0.03009694553327058, "ret_p3m": 0.220349423030898, "ret_signed_p3m": 0.220349423030898, "alpha_spy_p3m": 0.19242663939806337, "alpha_c_p3m": 0.23601682630769893, "bench_spy_p3m": 0.027922783632834625, "bench_c_p3m": -0.01566740327680094, "ret_p6m": 0.227876165980484, "ret_signed_p6m": 0.227876165980484, "alpha_spy_p6m": 0.20918670995643374, "alpha_c_p6m": 0.2511929721964108, "bench_spy_p6m": 0.018689456024050255, "bench_c_p6m": -0.0233168062159268, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.00578605034430324, "alpha_spy_stated": -0.00021158709122692798, "alpha_c_stated": 0.03588299587757382, "price_path": [-0.3427, -0.3358, -0.321, -0.3093, -0.2941, -0.2976, -0.2995, -0.2882, -0.2851, -0.2851, -0.2969, -0.3064, -0.2966, -0.2924, -0.2821, -0.2762, -0.275, -0.2724, -0.2687, -0.2638, -0.2431, -0.2393, -0.2417, -0.235, -0.2315, -0.2341, -0.2222, -0.2182, -0.2364, -0.2479, -0.2249, -0.2266, -0.2203, -0.2189, -0.1998, -0.2016, -0.1916, -0.1961, -0.193, -0.1887, -0.1911, -0.1982, -0.2073, -0.2056, -0.1815, -0.1718, -0.1766, -0.1756, -0.1591, -0.1545, -0.1545, -0.1606, -0.085, -0.0788, -0.0688, -0.072, -0.0491, -0.0506, -0.0458, -0.0434, -0.0023, -0.0036, -0.0098, 0.0, 0.0115, 0.0022, 0.0, -0.0178, -0.0228, -0.0204, -0.0316, -0.0348, -0.0269, -0.0234, -0.0233, -0.0032, -0.0206, -0.0272, -0.0401, -0.0588, -0.0305, -0.0243, -0.0025, -0.0018, 0.0058, 0.0186, -0.0039, 0.0008, 0.0055, 0.0324, 0.0697, 0.0638, 0.0905, 0.1172, 0.1169, 0.126, 0.102, 0.1285, 0.1308, 0.1085, 0.1516, 0.1562, 0.1391, 0.1062, 0.0977, 0.1319, 0.1293, 0.1611, 0.1492, 0.1875, 0.2621, 0.2826, 0.2693, 0.2693, 0.2687, 0.2488, 0.2524, 0.2706, 0.2618, 0.2765, 0.247, 0.2601, 0.273, 0.244, 0.2314, 0.2267, 0.2203, 0.182, 0.2046, 0.2238, 0.2346, 0.2519, 0.2518, 0.249, 0.2468, 0.2474, 0.2444, 0.2504, 0.2584, 0.2474, 0.2786, 0.2928, 0.3053, 0.3195, 0.3342, 0.3337, 0.3212, 0.31, 0.31, 0.2776, 0.3022, 0.312, 0.3024, 0.3229, 0.3285, 0.3336, 0.343, 0.3425, 0.3678, 0.3511, 0.3219, 0.3139, 0.2813, 0.2865, 0.2636, 0.2346, 0.2269, 0.2136, 0.2136, 0.2009, 0.2053, 0.2038, 0.2488, 0.2361, 0.233, 0.2414, 0.218, 0.235, 0.2149, 0.2038, 0.2034, 0.1933, 0.183, 0.2144, 0.218, 0.2239, 0.2033, 0.1963, 0.2081, 0.2279]}
{"unit_id": "quote:1970586215918280802", "ticker_idx": 0, "ts": "2025-09-23T20:29:00+00:00", "symbol": "GOOG", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "This is exactly what I was talking about when I said Google wins because of distribution.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish GOOG: distribution advantage via TV deployment is why Google wins the AI race vs OpenAI.", "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": "This is exactly what I was talking about when I said Google wins because of distribution. \n\nOpenAI (or anyone else) could never so widely deploy on your something like your TV 🤷‍♀️\n\n$GOOG https://t.co/H0fm7vr9Ao", "reply_text": null, "parent_text": null, "quoted_text": "Today, we’re introducing Gemini for Google TV, so you can talk more naturally to the big screen to find the perfect movie, brainstorm a family trip or get help with studying. Just say “Hey Google” or press the microphone button on your TV remote.", "parent_author": null, "ret_m1d": 0.01819794850269707, "ret_signed_m1d": 0.01819794850269707, "alpha_spy_m1d": 0.015006128973803268, "alpha_c_m1d": 0.0098525918033876, "bench_spy_m1d": 0.0031918195288938023, "bench_c_m1d": 0.00834535669930947, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.005084079507889361, "ret_signed_p1d": -0.005084079507889361, "alpha_spy_p1d": -0.0004706119433776079, "alpha_c_p1d": -0.0016776776751979972, "bench_spy_p1d": -0.004613467564511753, "bench_c_p1d": -0.0034064018326913637, "ret_p1w": -0.009240214104688671, "ret_signed_p1w": -0.009240214104688671, "alpha_spy_p1w": -0.020358056550861536, "alpha_c_p1w": -0.0031088219221580005, "bench_spy_p1w": 0.011117842446172865, "bench_c_p1w": -0.0061313921825306705, "ret_p1m": 0.023806641993029842, "ret_signed_p1m": 0.023806641993029842, "alpha_spy_p1m": 0.0076819398530547645, "alpha_c_p1m": 0.04237094195778579, "bench_spy_p1m": 0.016124702139975078, "bench_c_p1m": -0.018564299964755948, "ret_p3m": 0.2570435781239917, "ret_signed_p3m": 0.2570435781239917, "alpha_spy_p3m": 0.21808779685150492, "alpha_c_p3m": 0.26038455291609364, "bench_spy_p3m": 0.03895578127248678, "bench_c_p3m": -0.003340974792101936, "ret_p6m": 0.20819069002654778, "ret_signed_p6m": 0.20819069002654778, "alpha_spy_p6m": 0.21119819426533404, "alpha_c_p6m": 0.24220488415421526, "bench_spy_p6m": -0.0030075042387862627, "bench_c_p6m": -0.034014194127667485, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.023806641993029842, "alpha_spy_stated": 0.0076819398530547645, "alpha_c_stated": 0.04237094195778579, "price_path": [-0.2813, -0.2849, -0.2868, -0.2753, -0.2721, -0.2721, -0.2842, -0.2939, -0.2838, -0.2796, -0.2691, -0.263, -0.2618, -0.2591, -0.2554, -0.2504, -0.2294, -0.2255, -0.2279, -0.2211, -0.2176, -0.2202, -0.2081, -0.204, -0.2225, -0.2342, -0.2108, -0.2126, -0.2061, -0.2047, -0.1853, -0.1871, -0.1769, -0.1815, -0.1783, -0.1739, -0.1764, -0.1837, -0.1929, -0.1912, -0.1666, -0.1568, -0.1617, -0.1606, -0.1438, -0.1392, -0.1392, -0.1454, -0.0683, -0.062, -0.0519, -0.0552, -0.0318, -0.0334, -0.0284, -0.026, 0.0159, 0.0145, 0.0082, 0.0182, 0.0299, 0.0204, 0.0182, 0.0, -0.0051, -0.0026, -0.014, -0.0173, -0.0092, -0.0056, -0.0056, 0.0148, -0.0028, -0.0096, -0.0227, -0.0417, -0.0129, -0.0066, 0.0157, 0.0163, 0.024, 0.0371, 0.0142, 0.019, 0.0238, 0.0512, 0.0892, 0.0831, 0.1103, 0.1375, 0.1372, 0.1464, 0.122, 0.149, 0.1514, 0.1286, 0.1725, 0.1772, 0.1598, 0.1263, 0.1176, 0.1524, 0.1498, 0.1822, 0.1701, 0.2091, 0.285, 0.3059, 0.2923, 0.2923, 0.2917, 0.2715, 0.2751, 0.2937, 0.2847, 0.2996, 0.2696, 0.283, 0.2961, 0.2666, 0.2538, 0.2489, 0.2425, 0.2035, 0.2264, 0.2461, 0.257, 0.2746, 0.2746, 0.2717, 0.2694, 0.27, 0.267, 0.2732, 0.2812, 0.27, 0.3019, 0.3163, 0.329, 0.3434, 0.3584, 0.3579, 0.3452, 0.3338, 0.3338, 0.3008, 0.3259, 0.3358, 0.3261, 0.3469, 0.3526, 0.3578, 0.3674, 0.3669, 0.3926, 0.3756, 0.3459, 0.3378, 0.3046, 0.3098, 0.2865, 0.257, 0.2491, 0.2356, 0.2356, 0.2227, 0.2272, 0.2257, 0.2715, 0.2585, 0.2554, 0.2639, 0.2402, 0.2574, 0.237, 0.2257, 0.2252, 0.215, 0.2044, 0.2364, 0.2402, 0.2462, 0.2251, 0.218, 0.23, 0.2502, 0.2376, 0.2353, 0.2073, 0.2082]}
{"unit_id": "orig:1970924739079307719", "ticker_idx": 0, "ts": "2025-09-24T18:54:10+00:00", "symbol": "ASML.AS", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "These value picks held their ground as the markets fell yesterday … With literally ~0 competition, it's still baffling how wide the moat for this company is.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish ASML as a value pick with an unrivaled moat and zero competition in lithography equipment.", "resolved_tickers": ["ASML.AS"], "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": "original", "lang": "en", "tweet_text": "These value picks held their ground as the markets fell yesterday\n\n1/ $ASML: With literally ~0 competition, it’s still baffling how wide the moat for this company is. \n\nThey manufacture machines that are used to create the silicon for GPUs and chips in most modern devices. https://t.co/ahF0N9gGNL", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.004558367859379131, "ret_signed_m1d": -0.004558367859379131, "alpha_spy_m1d": -0.007750187388272933, "alpha_c_m1d": -0.006395825589700421, "bench_spy_m1d": 0.0031918195288938023, "bench_c_m1d": 0.0018374577303212902, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.001355112806753489, "ret_signed_p1d": 0.001355112806753489, "alpha_spy_p1d": 0.005968580371265242, "alpha_c_p1d": 0.0015107923996565686, "bench_spy_p1d": -0.004613467564511753, "bench_c_p1d": -0.00015567959290307964, "ret_p1w": 0.08118755536848354, "ret_signed_p1w": 0.08118755536848354, "alpha_spy_p1w": 0.07006971292231068, "alpha_c_p1w": 0.042010924047980236, "bench_spy_p1w": 0.011117842446172865, "bench_c_p1w": 0.03917663132050331, "ret_p1m": 0.10188496448441797, "ret_signed_p1m": 0.10188496448441797, "alpha_spy_p1m": 0.0857602623444429, "alpha_c_p1m": 0.028109616142987237, "bench_spy_p1m": 0.016124702139975078, "bench_c_p1m": 0.07377534834143074, "ret_p3m": 0.11469034961774338, "ret_signed_p3m": 0.11469034961774338, "alpha_spy_p3m": 0.0757345683452566, "alpha_c_p3m": -0.00897215723554301, "bench_spy_p3m": 0.03895578127248678, "bench_c_p3m": 0.12366250685328639, "ret_p6m": 0.4849529637668719, "ret_signed_p6m": 0.4849529637668719, "alpha_spy_p6m": 0.4879604680056582, "alpha_c_p6m": 0.262388250677307, "bench_spy_p6m": -0.0030075042387862627, "bench_c_p6m": 0.22256471308956494, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.10188496448441797, "alpha_spy_stated": 0.0857602623444429, "alpha_c_stated": 0.028109616142987237, "price_path": [-0.1674, -0.179, -0.1674, -0.168, -0.1898, -0.1748, -0.1658, -0.1647, -0.1522, -0.1597, -0.1555, -0.1324, -0.2311, -0.2011, -0.2216, -0.2332, -0.2598, -0.2547, -0.2432, -0.2567, -0.2259, -0.2325, -0.2269, -0.2447, -0.267, -0.2579, -0.2644, -0.2696, -0.2476, -0.24, -0.2275, -0.219, -0.2108, -0.208, -0.2156, -0.2131, -0.2087, -0.2137, -0.2183, -0.2039, -0.2033, -0.1985, -0.1866, -0.1939, -0.2157, -0.2163, -0.2396, -0.2296, -0.2022, -0.1866, -0.1664, -0.1583, -0.162, -0.1549, -0.1502, -0.1014, -0.0971, -0.092, -0.0218, -0.0222, -0.0011, 0.01, -0.0046, 0.0, 0.0014, 0.017, 0.0202, 0.0366, 0.0812, 0.0843, 0.1055, 0.0777, 0.0494, 0.0469, 0.0027, 0.0398, 0.043, 0.0755, 0.0809, 0.0788, 0.1076, 0.0962, 0.0719, 0.0936, 0.1019, 0.1188, 0.1199, 0.1347, 0.157, 0.1331, 0.1434, 0.133, 0.1189, 0.1049, 0.0747, 0.0943, 0.0946, 0.1006, 0.0879, 0.0788, 0.0816, 0.0683, 0.0942, 0.0982, 0.0293, 0.0599, 0.0617, 0.1222, 0.1073, 0.1149, 0.1437, 0.159, 0.189, 0.1815, 0.1744, 0.1887, 0.176, 0.1675, 0.1612, 0.142, 0.149, 0.1214, 0.0787, 0.1017, 0.1127, 0.1058, 0.1147, 0.1095, 0.1095, 0.1191, 0.1334, 0.1372, 0.2172, 0.2998, 0.3094, 0.2981, 0.2502, 0.3349, 0.3408, 0.3608, 0.3381, 0.4185, 0.4405, 0.3827, 0.4069, 0.4252, 0.4519, 0.4541, 0.4538, 0.5027, 0.4741, 0.4711, 0.5002, 0.5116, 0.4691, 0.4077, 0.4188, 0.4733, 0.4889, 0.4743, 0.4926, 0.458, 0.4711, 0.4768, 0.482, 0.5383, 0.5302, 0.5517, 0.5438, 0.5613, 0.5922, 0.523, 0.5243, 0.4958, 0.4358, 0.4827, 0.4657, 0.4175, 0.4182, 0.483, 0.4815, 0.4588, 0.4578, 0.4798, 0.4753, 0.4719, 0.4442, 0.3942, 0.4526, 0.485]}
{"unit_id": "orig:1970949610311942362", "ticker_idx": 0, "ts": "2025-09-24T20:33:00+00:00", "symbol": "GOOG", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Incredibly Bullish $GOOG", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish GOOG on rapidly accelerating MoM traffic to Google's AI domains.", "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": "original", "lang": "en", "tweet_text": "Incredibly Bullish $GOOG \n\nMoM traffic for Google's AI domains is increasing at an incredible rate. https://t.co/hdop612MEr", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.005110059456456151, "ret_signed_m1d": 0.005110059456456151, "alpha_spy_m1d": 0.00047520916043741757, "alpha_c_m1d": 0.0016920143887819705, "bench_spy_m1d": 0.004634850296018733, "bench_c_m1d": 0.0034180450676741803, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.002473895528541492, "ret_signed_p1d": 0.002473895528541492, "alpha_spy_p1d": -0.003255232074049541, "alpha_c_p1d": -0.007267269785379282, "bench_spy_p1d": 0.005729127602591033, "bench_c_p1d": 0.009741165313920774, "ret_p1w": -0.0005678463895528729, "ret_signed_p1w": -0.0005678463895528729, "alpha_spy_p1w": -0.017542097158895098, "alpha_c_p1w": 0.0043881216118617505, "bench_spy_p1w": 0.016974250769342225, "bench_c_p1w": -0.0049559680014146235, "ret_p1m": 0.056535686863780965, "ret_signed_p1m": 0.056535686863780965, "alpha_spy_p1m": 0.02735857479448489, "alpha_c_p1m": 0.06918192735627415, "bench_spy_p1m": 0.029177112069296074, "bench_c_p1m": -0.012646240492493188, "ret_p3m": 0.2811208561025289, "ret_signed_p3m": 0.2811208561025289, "alpha_spy_p3m": 0.23257921605009035, "alpha_c_p3m": 0.27479734116285637, "bench_spy_p3m": 0.04854164005243855, "bench_c_p3m": 0.0063235149396725365, "ret_p6m": 0.17448416537586708, "ret_signed_p6m": 0.17448416537586708, "alpha_spy_p6m": 0.17623298903477647, "alpha_c_p6m": 0.21878429236189867, "bench_spy_p6m": -0.001748823658909382, "bench_c_p6m": -0.044300126986031585, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.056535686863780965, "alpha_spy_stated": 0.02735857479448489, "alpha_c_stated": 0.06918192735627415, "price_path": [-0.2812, -0.2832, -0.2716, -0.2684, -0.2684, -0.2805, -0.2902, -0.2801, -0.2759, -0.2653, -0.2592, -0.2581, -0.2554, -0.2516, -0.2466, -0.2255, -0.2216, -0.224, -0.2171, -0.2136, -0.2163, -0.2041, -0.2, -0.2185, -0.2303, -0.2068, -0.2086, -0.2021, -0.2006, -0.1811, -0.183, -0.1727, -0.1773, -0.1741, -0.1697, -0.1722, -0.1795, -0.1888, -0.1871, -0.1624, -0.1525, -0.1574, -0.1563, -0.1395, -0.1348, -0.1348, -0.141, -0.0636, -0.0573, -0.0471, -0.0503, -0.0269, -0.0284, -0.0235, -0.021, 0.021, 0.0197, 0.0133, 0.0234, 0.0352, 0.0256, 0.0234, 0.0051, 0.0, 0.0025, -0.009, -0.0122, -0.0042, -0.0006, -0.0005, 0.02, 0.0023, -0.0045, -0.0177, -0.0368, -0.0078, -0.0015, 0.0208, 0.0215, 0.0293, 0.0424, 0.0193, 0.0242, 0.029, 0.0565, 0.0947, 0.0887, 0.116, 0.1433, 0.143, 0.1523, 0.1277, 0.1548, 0.1572, 0.1344, 0.1785, 0.1832, 0.1657, 0.132, 0.1233, 0.1583, 0.1557, 0.1883, 0.1761, 0.2153, 0.2916, 0.3126, 0.2989, 0.2989, 0.2983, 0.278, 0.2817, 0.3003, 0.2913, 0.3063, 0.2761, 0.2895, 0.3027, 0.2731, 0.2602, 0.2553, 0.2489, 0.2096, 0.2327, 0.2524, 0.2635, 0.2811, 0.2811, 0.2782, 0.2759, 0.2765, 0.2735, 0.2797, 0.2878, 0.2765, 0.3085, 0.323, 0.3357, 0.3503, 0.3653, 0.3648, 0.3521, 0.3406, 0.3406, 0.3074, 0.3327, 0.3426, 0.3329, 0.3538, 0.3595, 0.3647, 0.3744, 0.3739, 0.3997, 0.3827, 0.3528, 0.3446, 0.3112, 0.3165, 0.2931, 0.2635, 0.2555, 0.2419, 0.2419, 0.2289, 0.2335, 0.2319, 0.278, 0.2649, 0.2618, 0.2704, 0.2465, 0.2639, 0.2433, 0.2319, 0.2315, 0.2212, 0.2106, 0.2428, 0.2465, 0.2525, 0.2314, 0.2243, 0.2363, 0.2566, 0.2439, 0.2416, 0.2134, 0.2144, 0.1745]}
{"unit_id": "orig:1971324942290702820", "ticker_idx": 0, "ts": "2025-09-25T21:24:26+00:00", "symbol": "NKE", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "we believe the company can return to historical levels of profitability over the next several years", "tweet_type": "news_reaction", "timeline": "years", "summary": "Shares Pershing Square's bullish NKE thesis: margins depressed but will recover to historical levels over several years.", "resolved_tickers": ["NKE"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Footwear & Accessories'", "bench_c_industry": "Footwear & Accessories", "unit_kind": "original", "lang": "en", "tweet_text": "Bill Ackman's Pershing Square released an investor update on $NKE Nike. \n\n\"While Nike’s margins are currently depressed due to intentional actions taken to effectuate the turnaround, we believe the company can return to historical levels of profitability over the next several years\"", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.0010099103074533433, "ret_signed_m1d": -0.0010099103074533433, "alpha_spy_m1d": 0.004686581367445042, "alpha_c_m1d": 0.01354931169114515, "bench_spy_m1d": -0.005696491674898385, "bench_c_m1d": -0.014559221998598493, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.003462903235605941, "ret_signed_p1d": 0.003462903235605941, "alpha_spy_p1d": 0.0006525497008864622, "alpha_c_p1d": -0.000917344142518095, "bench_spy_p1d": 0.0028103535347194786, "bench_c_p1d": 0.004380247378124036, "ret_p1w": 0.037801203836488995, "ret_signed_p1w": 0.037801203836488995, "alpha_spy_p1w": 0.026635109366840437, "alpha_c_p1w": 0.04551885878465023, "bench_spy_p1w": 0.011166094469648558, "bench_c_p1w": -0.007717654948161234, "ret_p1m": -0.010388147145371951, "ret_signed_p1m": -0.010388147145371951, "alpha_spy_p1m": -0.04577528048155077, "alpha_c_p1m": -0.01610343439570916, "bench_spy_p1m": 0.03538713333617882, "bench_c_p1m": 0.005715287250337209, "ret_p3m": -0.12879731788704618, "ret_signed_p3m": -0.12879731788704618, "alpha_spy_p3m": -0.17503336619689602, "alpha_c_p3m": -0.15364354464159613, "bench_spy_p3m": 0.04623604830984984, "bench_c_p3m": 0.02484622675454995, "ret_p6m": -0.22562196230883313, "ret_signed_p6m": -0.22562196230883313, "alpha_spy_p6m": -0.22371786247326253, "alpha_c_p6m": -0.153178823333475, "bench_spy_p6m": -0.0019040998355706051, "bench_c_p6m": -0.07244313897535815, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 252, "stated_label": "p1y", "ret_signed_stated": null, "alpha_spy_stated": null, "alpha_c_stated": null, "price_path": [0.0537, 0.0965, 0.0965, 0.0965, 0.0985, 0.061, 0.0558, 0.071, 0.0425, 0.037, 0.0333, 0.0349, 0.0475, 0.0402, 0.0624, 0.0821, 0.1016, 0.0825, 0.0947, 0.1374, 0.1243, 0.1006, 0.0721, 0.071, 0.0739, 0.0676, 0.0834, 0.0672, 0.0649, 0.0624, 0.0751, 0.1081, 0.0965, 0.1048, 0.1114, 0.1035, 0.0946, 0.0934, 0.125, 0.1364, 0.1289, 0.1204, 0.1184, 0.1105, 0.1105, 0.0719, 0.0783, 0.0871, 0.0664, 0.0698, 0.0619, 0.0713, 0.0724, 0.0532, 0.0537, 0.0496, 0.0433, 0.0403, 0.0228, 0.0284, 0.0234, 0.0276, -0.001, 0.0, 0.0035, 0.0061, 0.0706, 0.0759, 0.0378, 0.0268, -0.0058, -0.0032, -0.018, -0.059, -0.0278, -0.0241, -0.0123, -0.0356, -0.028, -0.0244, -0.0137, -0.0033, 0.0053, -0.0029, -0.0104, -0.0271, -0.0571, -0.0636, -0.0681, -0.0961, -0.1166, -0.1039, -0.1071, -0.1186, -0.1228, -0.0889, -0.0737, -0.0473, -0.0742, -0.0925, -0.0984, -0.0962, -0.1137, -0.0939, -0.1065, -0.0812, -0.0719, -0.0719, -0.0675, -0.0505, -0.0572, -0.0468, -0.0462, -0.0437, -0.0774, -0.0804, -0.0447, -0.0164, -0.0203, -0.0158, -0.0254, -0.0462, -0.047, -0.1475, -0.1692, -0.1674, -0.1288, -0.1153, -0.1112, -0.1115, -0.0749, -0.0812, -0.063, -0.0511, -0.082, -0.0524, -0.0428, -0.0469, -0.0373, -0.0479, -0.0622, -0.0652, -0.0652, -0.0761, -0.0502, -0.0495, -0.0556, -0.0563, -0.0839, -0.0963, -0.091, -0.1025, -0.0971, -0.1153, -0.0675, -0.0896, -0.0719, -0.0938, -0.0847, -0.0947, -0.1128, -0.0833, -0.0833, -0.0588, -0.0482, -0.0473, -0.0504, -0.0839, -0.0694, -0.0794, -0.0714, -0.0971, -0.1083, -0.1319, -0.1429, -0.152, -0.1667, -0.1737, -0.1803, -0.1859, -0.2088, -0.211, -0.1992, -0.1943, -0.2185, -0.2189, -0.2345, -0.2296, -0.2182, -0.2256]}
{"unit_id": "orig:1971333495114072432", "ticker_idx": 0, "ts": "2025-09-25T21:58:25+00:00", "symbol": "ADBE", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "I'm long $ADBE Adobe for 3 reasons", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Long ADBE: AI image generation still far from replacing professional editing software, plateau in AI progress protects Adobe's moat.", "resolved_tickers": ["ADBE"], "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": "I'm long $ADBE Adobe for 3 reasons [thesis]: \n\n1/ AI Image Generation: \n\nWhile the AI image generation is good, it's still way off from generating professional-quality images. \n\nWith the plateauing progress in AI (for those who were tracking, GPT-5 was supposed to be AGI), it does not look like the models will replace professional editing software in the near future.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.017232265558231985, "ret_signed_m1d": -0.017232265558231985, "alpha_spy_m1d": -0.0115357738833336, "alpha_c_m1d": -0.0115357738833336, "bench_spy_m1d": -0.005696491674898385, "bench_c_m1d": -0.005696491674898385, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.0026361287075085116, "ret_signed_p1d": -0.0026361287075085116, "alpha_spy_p1d": -0.00544648224222799, "alpha_c_p1d": -0.00544648224222799, "bench_spy_p1d": 0.0028103535347194786, "bench_c_p1d": 0.0028103535347194786, "ret_p1w": -0.037822252317039284, "ret_signed_p1w": -0.037822252317039284, "alpha_spy_p1w": -0.04898834678668784, "alpha_c_p1w": -0.04898834678668784, "bench_spy_p1w": 0.011166094469648558, "bench_c_p1w": 0.011166094469648558, "ret_p1m": -0.007131579651582842, "ret_signed_p1m": -0.007131579651582842, "alpha_spy_p1m": -0.042518712987761664, "alpha_c_p1m": -0.042518712987761664, "bench_spy_p1m": 0.03538713333617882, "bench_c_p1m": 0.03538713333617882, "ret_p3m": -0.02050665768790283, "ret_signed_p3m": -0.02050665768790283, "alpha_spy_p3m": -0.06674270599775267, "alpha_c_p3m": -0.06674270599775267, "bench_spy_p3m": 0.04623604830984984, "bench_c_p3m": 0.04623604830984984, "ret_p6m": -0.34164885197268025, "ret_signed_p6m": -0.34164885197268025, "alpha_spy_p6m": -0.33974475213710964, "alpha_c_p6m": -0.33974475213710964, "bench_spy_p6m": -0.0019040998355706051, "bench_c_p6m": -0.0019040998355706051, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.007131579651582842, "alpha_spy_stated": -0.042518712987761664, "alpha_c_stated": -0.042518712987761664, "price_path": [0.088, 0.0502, 0.0526, 0.0526, 0.046, 0.0607, 0.0361, 0.0307, 0.0083, 0.0184, 0.0106, 0.0039, 0.0169, 0.015, 0.0203, 0.0347, 0.0335, 0.0314, 0.0288, 0.0253, 0.0287, 0.0101, -0.0074, -0.0349, -0.0597, -0.06, -0.0409, -0.0613, -0.0536, -0.0741, -0.0609, -0.0258, -0.0327, -0.0153, -0.0087, 0.0018, -0.0193, -0.0193, 0.0048, 0.0079, -0.0152, -0.0112, -0.0178, -0.0102, -0.0102, -0.0409, -0.0329, -0.0446, -0.0316, -0.0047, -0.0175, -0.0283, -0.0272, -0.0306, -0.0368, -0.0212, 0.0047, 0.0197, 0.0153, 0.0103, 0.0039, -0.0197, -0.0172, 0.0, -0.0026, -0.0211, -0.0462, -0.0247, -0.0378, -0.0284, -0.0335, -0.0322, -0.0358, -0.0634, -0.0584, -0.0678, -0.0825, -0.0864, -0.0752, -0.0471, -0.0078, -0.0174, -0.0173, -0.019, -0.0071, -0.0013, -0.0625, -0.0586, -0.0557, -0.0635, -0.0694, -0.0689, -0.0916, -0.0927, -0.0875, -0.0753, -0.0647, -0.0743, -0.0812, -0.098, -0.0996, -0.1173, -0.1331, -0.1004, -0.1155, -0.1133, -0.1189, -0.1189, -0.1117, -0.1041, -0.1042, -0.0932, -0.0878, -0.0392, -0.059, -0.0445, -0.0478, -0.0276, -0.0109, -0.0256, -0.0346, -0.0158, -0.0127, -0.0125, -0.0079, -0.0221, -0.0205, -0.0182, -0.02, -0.0218, -0.0288, -0.0751, -0.0799, -0.0677, -0.0618, -0.0592, -0.0733, -0.0908, -0.14, -0.1552, -0.1562, -0.1783, -0.1783, -0.1942, -0.1835, -0.1683, -0.1646, -0.1544, -0.1747, -0.1687, -0.1907, -0.1863, -0.1859, -0.2454, -0.2238, -0.2525, -0.2553, -0.2594, -0.2656, -0.2864, -0.2716, -0.2675, -0.2675, -0.2773, -0.2697, -0.2807, -0.2824, -0.3155, -0.2919, -0.2846, -0.2812, -0.2718, -0.2761, -0.248, -0.2421, -0.2182, -0.213, -0.2162, -0.2365, -0.2405, -0.2514, -0.3082, -0.3011, -0.2946, -0.3174, -0.3174, -0.3114, -0.3128, -0.3372, -0.3416]}
{"unit_id": "orig:1971665552000311573", "ticker_idx": 0, "ts": "2025-09-26T19:57:54+00:00", "symbol": "GOOG", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$GOOG is really just gonna be an end-to-end AI juggernaut", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish GOOG as end-to-end AI juggernaut, bolstered by Jensen Huang praising Google's TPUs.", "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": "original", "lang": "en", "tweet_text": "\"Google is really special...We have to show respect\" - Jensen Huang $NVDA CEO\n\nDoesn't get better than this for Google's TPUs\n\n$GOOG is really just gonna be an end-to-end AI juggernaut https://t.co/6LOrv0kyUR", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.002467790472725606, "ret_signed_m1d": -0.002467790472725606, "alpha_spy_m1d": 0.003228701202172779, "alpha_c_m1d": 0.007179399964332811, "bench_spy_m1d": -0.005696491674898385, "bench_c_m1d": -0.009647190437058417, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.011408690979353042, "ret_signed_p1d": -0.011408690979353042, "alpha_spy_p1d": -0.01421904451407252, "alpha_c_p1d": -0.014624377693290058, "bench_spy_p1d": 0.0028103535347194786, "bench_c_p1d": 0.003215686713937016, "ret_p1w": -0.002953270632643945, "ret_signed_p1w": -0.002953270632643945, "alpha_spy_p1w": -0.014119365102292503, "alpha_c_p1w": 0.012109772071493219, "bench_spy_p1w": 0.011166094469648558, "bench_c_p1w": -0.015063042704137164, "ret_p1m": 0.09203816867407877, "ret_signed_p1m": 0.09203816867407877, "alpha_spy_p1m": 0.056651035337899946, "alpha_c_p1m": 0.10058514603931867, "bench_spy_p1m": 0.03538713333617882, "bench_c_p1m": -0.008546977365239905, "ret_p3m": 0.2779188667338095, "ret_signed_p3m": 0.2779188667338095, "alpha_spy_p3m": 0.23168281842395966, "alpha_c_p3m": 0.2753607149875339, "bench_spy_p3m": 0.04623604830984984, "bench_c_p3m": 0.0025581517462756054, "ret_p6m": 0.17316562073082542, "ret_signed_p6m": 0.17316562073082542, "alpha_spy_p6m": 0.17506972056639603, "alpha_c_p6m": 0.22404532864015092, "bench_spy_p6m": -0.0019040998355706051, "bench_c_p6m": -0.0508797079093255, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.09203816867407877, "alpha_spy_stated": 0.056651035337899946, "alpha_c_stated": 0.10058514603931867, "price_path": [-0.2849, -0.2734, -0.2702, -0.2702, -0.2823, -0.292, -0.2819, -0.2777, -0.2671, -0.2611, -0.2599, -0.2572, -0.2534, -0.2484, -0.2274, -0.2235, -0.2259, -0.2191, -0.2155, -0.2182, -0.206, -0.2019, -0.2205, -0.2322, -0.2088, -0.2105, -0.204, -0.2026, -0.1831, -0.185, -0.1748, -0.1793, -0.1762, -0.1717, -0.1743, -0.1815, -0.1908, -0.1891, -0.1644, -0.1546, -0.1595, -0.1584, -0.1416, -0.1369, -0.1369, -0.1431, -0.0659, -0.0596, -0.0494, -0.0527, -0.0293, -0.0308, -0.0259, -0.0235, 0.0185, 0.0172, 0.0108, 0.0208, 0.0326, 0.0231, 0.0209, 0.0026, -0.0025, 0.0, -0.0114, -0.0147, -0.0066, -0.003, -0.003, 0.0175, -0.0002, -0.007, -0.0201, -0.0392, -0.0103, -0.004, 0.0183, 0.019, 0.0267, 0.0398, 0.0168, 0.0216, 0.0265, 0.0539, 0.092, 0.086, 0.1132, 0.1405, 0.1401, 0.1494, 0.1249, 0.152, 0.1544, 0.1316, 0.1756, 0.1803, 0.1628, 0.1292, 0.1206, 0.1554, 0.1528, 0.1853, 0.1732, 0.2123, 0.2884, 0.3093, 0.2957, 0.2957, 0.2951, 0.2749, 0.2785, 0.2971, 0.2881, 0.3031, 0.273, 0.2863, 0.2995, 0.2699, 0.2571, 0.2522, 0.2458, 0.2066, 0.2297, 0.2493, 0.2603, 0.278, 0.2779, 0.275, 0.2727, 0.2734, 0.2703, 0.2765, 0.2846, 0.2734, 0.3053, 0.3198, 0.3324, 0.347, 0.362, 0.3615, 0.3487, 0.3373, 0.3373, 0.3042, 0.3294, 0.3393, 0.3296, 0.3505, 0.3562, 0.3614, 0.371, 0.3705, 0.3962, 0.3792, 0.3495, 0.3413, 0.308, 0.3133, 0.2899, 0.2603, 0.2524, 0.2389, 0.2389, 0.2259, 0.2304, 0.2289, 0.2748, 0.2618, 0.2587, 0.2672, 0.2434, 0.2608, 0.2402, 0.2289, 0.2284, 0.2182, 0.2076, 0.2397, 0.2434, 0.2494, 0.2283, 0.2213, 0.2332, 0.2535, 0.2409, 0.2386, 0.2104, 0.2114, 0.1716, 0.1732]}
{"unit_id": "thread:1971673596927090947", "ticker_idx": 0, "ts": "2025-09-26T20:29:52+00:00", "symbol": "LULU", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "I don't think $LULU, $MRVL and $FIG will rebound", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bearish on LULU (unclear sales decline + trade war), FIG (25x P/S far above intrinsic value), and MRVL; none expected to rebound.", "resolved_tickers": ["LULU"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Apparel Retail'", "bench_c_industry": "Apparel Retail", "unit_kind": "self_thread", "lang": "en", "tweet_text": "Not all drawdowns are equal. \n\nFor example, I don't think $LULU, $MRVL and $FIG will rebound. \n\nHere's why: \n\n$LULU - Lululemon : \n\nDifficult to understand why they're losing sales: \n\nThe recent drop in U.S. sales could be due to weakening consumer sentiment, a loss of brand relevance, increased competition, or a combination of these factors. \n\nBecause the exact cause of the sales decline is unclear, we are not able to model and value the company.\n\nAdd to this, there seems to be no end to the ongoing trade war, and $LULU profitability will continue to be affected.\n\n---\n\n$FIG - Figma\n\nNose Bleed Valuation: \n\nWhile Figma has a solid business model and a long growth runway, its valuation is a major concern. \n\nIt's trading at roughly 25x its price-to-sales multiple, significantly higher than the typical 4x to 12x for most software companies. \n\nThis valuation already prices in many years of future growth, placing the stock far above its intrinsic value. \n\nWe'd consider buying at a more reasonable 10x to 15x price-to-sales multiple.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.01568866924804946, "ret_signed_m1d": 0.01568866924804946, "alpha_spy_m1d": 0.012886191666108271, "alpha_c_m1d": 0.011327524761627794, "bench_spy_m1d": -0.0028024775819411873, "bench_c_m1d": -0.004361144486421664, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.006588174476853337, "ret_signed_p1d": 0.006588174476853337, "alpha_spy_p1d": 0.010355009232211665, "alpha_c_p1d": 0.0019362955256778669, "bench_spy_p1d": 0.003766834755358328, "bench_c_p1d": -0.00465187895117547, "ret_p1w": -0.027860004891740675, "ret_signed_p1w": 0.027860004891740675, "alpha_spy_p1w": 0.03980848299703099, "alpha_c_p1w": 0.024287987701427816, "bench_spy_p1w": 0.011948478105290317, "bench_c_p1w": -0.0035720171903128595, "ret_p1m": 0.004857322953619736, "ret_signed_p1m": -0.004857322953619736, "alpha_spy_p1m": 0.030370459138007844, "alpha_c_p1m": -0.0032789408462858827, "bench_spy_p1m": 0.03522778209162758, "bench_c_p1m": 0.0015783821073338533, "ret_p3m": 0.1667131958494663, "ret_signed_p3m": -0.1667131958494663, "alpha_spy_p3m": -0.12351500171954544, "alpha_c_p3m": -0.15083112437915647, "bench_spy_p3m": 0.043198194129920875, "bench_c_p3m": 0.015882071470309844, "ret_p6m": -0.15476523436012468, "ret_signed_p6m": 0.15476523436012468, "alpha_spy_p6m": 0.13228922135391363, "alpha_c_p6m": 0.06243045489911192, "bench_spy_p6m": -0.02247601300621105, "bench_c_p6m": -0.09233477946101276, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.004857322953619736, "alpha_spy_stated": 0.030370459138007844, "alpha_c_stated": -0.0032789408462858827, "price_path": [0.3751, 0.3828, 0.3828, 0.3264, 0.3318, 0.317, 0.3317, 0.3205, 0.2779, 0.2405, 0.2624, 0.3026, 0.2828, 0.2462, 0.2502, 0.2508, 0.221, 0.2251, 0.2093, 0.195, 0.1528, 0.1196, 0.0794, 0.0968, 0.0891, 0.0971, 0.0672, 0.0576, 0.0409, 0.0772, 0.1194, 0.0898, 0.108, 0.1368, 0.1036, 0.1061, 0.1065, 0.159, 0.1303, 0.1308, 0.1477, 0.145, 0.1289, 0.1289, 0.1178, 0.1084, 0.1506, -0.0631, -0.0615, -0.0749, -0.0849, -0.0744, -0.1074, -0.1068, -0.0936, -0.0873, -0.0522, -0.053, -0.0318, -0.0323, 0.0006, -0.0396, -0.0157, 0.0, -0.0066, -0.0086, -0.0051, -0.0197, -0.0279, -0.0332, -0.024, -0.0314, -0.0648, -0.0517, -0.0557, -0.0671, -0.0809, -0.0653, -0.0373, 0.0127, -0.0046, -0.0003, -0.0052, 0.0127, 0.0049, -0.0492, -0.0619, -0.0478, -0.0762, -0.103, -0.0643, -0.0869, -0.0725, -0.0489, -0.0519, -0.0458, -0.0528, -0.0471, -0.0835, -0.0845, -0.0729, -0.0805, -0.061, -0.0527, -0.0089, 0.0158, 0.0158, 0.0283, 0.0184, 0.0184, 0.0178, 0.0251, 0.0609, 0.0219, 0.0177, 0.0475, 0.0441, 0.1444, 0.1518, 0.1543, 0.1606, 0.201, 0.1694, 0.1857, 0.1874, 0.1747, 0.1667, 0.1866, 0.1762, 0.1602, 0.177, 0.1859, 0.2053, 0.1821, 0.1846, 0.1384, 0.1671, 0.1831, 0.1342, 0.1446, 0.1271, 0.1271, 0.0539, 0.0599, 0.0868, 0.0668, 0.0764, 0.0406, 0.0069, -0.0367, -0.0257, -0.0002, -0.0421, -0.0062, -0.0504, -0.035, -0.0192, 0.0084, -0.0181, -0.0535, -0.015, -0.015, -0.0078, 0.0169, 0.021, 0.0457, -0.0056, 0.0021, 0.0192, 0.039, 0.0338, -0.0164, -0.027, -0.0329, -0.0331, -0.0501, -0.0522, -0.0708, -0.0911, -0.1168, -0.1191, -0.1072, -0.1108, -0.0766, -0.0756, -0.0909, -0.0822, -0.1014, -0.1138, -0.1548]}
{"unit_id": "thread:1971673596927090947", "ticker_idx": 1, "ts": "2025-09-26T20:29:52+00:00", "symbol": "MRVL", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "I don't think $LULU, $MRVL and $FIG will rebound", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bearish on LULU (unclear sales decline + trade war), FIG (25x P/S far above intrinsic value), and MRVL; none expected to rebound.", "resolved_tickers": ["MRVL"], "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": "Not all drawdowns are equal. \n\nFor example, I don't think $LULU, $MRVL and $FIG will rebound. \n\nHere's why: \n\n$LULU - Lululemon : \n\nDifficult to understand why they're losing sales: \n\nThe recent drop in U.S. sales could be due to weakening consumer sentiment, a loss of brand relevance, increased competition, or a combination of these factors. \n\nBecause the exact cause of the sales decline is unclear, we are not able to model and value the company.\n\nAdd to this, there seems to be no end to the ongoing trade war, and $LULU profitability will continue to be affected.\n\n---\n\n$FIG - Figma\n\nNose Bleed Valuation: \n\nWhile Figma has a solid business model and a long growth runway, its valuation is a major concern. \n\nIt's trading at roughly 25x its price-to-sales multiple, significantly higher than the typical 4x to 12x for most software companies. \n\nThis valuation already prices in many years of future growth, placing the stock far above its intrinsic value. \n\nWe'd consider buying at a more reasonable 10x to 15x price-to-sales multiple.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.00946707782239864, "ret_signed_m1d": -0.00946707782239864, "alpha_spy_m1d": -0.012269555404339827, "alpha_c_m1d": -0.012070367384591774, "bench_spy_m1d": -0.0028024775819411873, "bench_c_m1d": -0.002603289562193134, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.020390729067880198, "ret_signed_p1d": -0.020390729067880198, "alpha_spy_p1d": -0.01662389431252187, "alpha_c_p1d": -0.00892359859904146, "bench_spy_p1d": 0.003766834755358328, "bench_c_p1d": 0.011467130468838738, "ret_p1w": 0.07925716982031816, "ret_signed_p1w": -0.07925716982031816, "alpha_spy_p1w": -0.06730869171502785, "alpha_c_p1w": -0.015040954568242393, "bench_spy_p1w": 0.011948478105290317, "bench_c_p1w": 0.06421621525207577, "ret_p1m": 0.07438488533241694, "ret_signed_p1m": -0.07438488533241694, "alpha_spy_p1m": -0.03915710324078936, "alpha_c_p1m": 0.05097927065585117, "bench_spy_p1m": 0.03522778209162758, "bench_c_p1m": 0.1253641559882681, "ret_p3m": 0.04863647100277757, "ret_signed_p3m": -0.04863647100277757, "alpha_spy_p3m": -0.0054382768728566955, "alpha_c_p3m": 0.08877877431781922, "bench_spy_p3m": 0.043198194129920875, "bench_c_p3m": 0.1374152453205968, "ret_p6m": 0.18721931969300254, "ret_signed_p6m": -0.18721931969300254, "alpha_spy_p6m": -0.2096953326992136, "alpha_c_p6m": -0.003232999225865729, "bench_spy_p6m": -0.02247601300621105, "bench_c_p6m": 0.1839863204671368, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.07438488533241694, "alpha_spy_stated": -0.03915710324078936, "alpha_c_stated": 0.05097927065585117, "price_path": [-0.0995, -0.0883, -0.0883, -0.1323, -0.1274, -0.1237, -0.1103, -0.1175, -0.1199, -0.1211, -0.1401, -0.126, -0.0939, -0.1132, -0.1262, -0.1107, -0.1013, -0.0993, -0.0787, -0.0734, -0.0079, -0.0245, -0.0964, -0.0711, -0.0699, -0.0858, -0.0794, -0.0613, -0.062, -0.0556, -0.0373, -0.0407, -0.0753, -0.0686, -0.1253, -0.1356, -0.1357, -0.114, -0.1146, -0.0987, -0.0922, -0.0626, -0.2369, -0.2369, -0.2159, -0.2437, -0.222, -0.2313, -0.1989, -0.1887, -0.1856, -0.1918, -0.1825, -0.1816, -0.1642, -0.1385, -0.099, -0.0987, -0.0833, -0.0943, -0.0279, 0.0172, 0.0095, 0.0, 0.0204, 0.0182, 0.0462, 0.0465, 0.0793, 0.0556, 0.1227, 0.1006, 0.0398, 0.0857, 0.0472, 0.0796, 0.0716, 0.0682, 0.0426, 0.0234, -0.0156, 0.0053, 0.0218, 0.0774, 0.0744, 0.0949, 0.0757, 0.1385, 0.0976, 0.0638, 0.1283, 0.1335, 0.1043, 0.1323, 0.085, 0.085, 0.063, 0.05, 0.0135, -0.0444, -0.0123, -0.0687, -0.0593, 0.0177, 0.0133, 0.0654, 0.0654, 0.0858, 0.1064, 0.1282, 0.217, 0.1926, 0.2013, 0.1174, 0.0797, 0.1231, 0.0862, 0.0254, 0.0234, 0.0211, -0.0077, 0.0259, 0.0213, 0.0299, 0.0649, 0.0505, 0.0486, 0.0416, 0.0537, 0.0321, 0.0857, 0.0959, 0.0716, 0.028, 0.0135, 0.0115, 0.0075, 0.0094, -0.013, -0.023, -0.0221, -0.0221, -0.0301, 0.0033, 0.01, -0.0249, -0.0062, 0.0079, 0.0163, -0.0114, -0.0408, -0.044, -0.0819, -0.1039, -0.098, -0.0243, 0.0009, -0.0032, -0.0114, -0.0492, -0.0446, -0.0446, -0.0397, -0.0387, -0.0324, -0.034, -0.0545, -0.0472, -0.0165, -0.0363, -0.0071, -0.0172, -0.0579, -0.0509, -0.0802, 0.0886, 0.1261, 0.134, 0.0992, 0.0656, 0.0679, 0.1131, 0.1035, 0.0649, 0.0882, 0.0685, 0.0958, 0.1226, 0.1966, 0.1872]}
{"unit_id": "thread:1971673596927090947", "ticker_idx": 2, "ts": "2025-09-26T20:29:52+00:00", "symbol": "FIG", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "This valuation already prices in many years of future growth, placing the stock far above its intrinsic value", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bearish on LULU (unclear sales decline + trade war), FIG (25x P/S far above intrinsic value), and MRVL; none expected to rebound.", "resolved_tickers": ["FIG"], "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": "Not all drawdowns are equal. \n\nFor example, I don't think $LULU, $MRVL and $FIG will rebound. \n\nHere's why: \n\n$LULU - Lululemon : \n\nDifficult to understand why they're losing sales: \n\nThe recent drop in U.S. sales could be due to weakening consumer sentiment, a loss of brand relevance, increased competition, or a combination of these factors. \n\nBecause the exact cause of the sales decline is unclear, we are not able to model and value the company.\n\nAdd to this, there seems to be no end to the ongoing trade war, and $LULU profitability will continue to be affected.\n\n---\n\n$FIG - Figma\n\nNose Bleed Valuation: \n\nWhile Figma has a solid business model and a long growth runway, its valuation is a major concern. \n\nIt's trading at roughly 25x its price-to-sales multiple, significantly higher than the typical 4x to 12x for most software companies. \n\nThis valuation already prices in many years of future growth, placing the stock far above its intrinsic value. \n\nWe'd consider buying at a more reasonable 10x to 15x price-to-sales multiple.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.004515553557415064, "ret_signed_m1d": 0.004515553557415064, "alpha_spy_m1d": 0.0017130759754738767, "alpha_c_m1d": 0.0017130759754738767, "bench_spy_m1d": -0.0028024775819411873, "bench_c_m1d": -0.0028024775819411873, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.02408283268573197, "ret_signed_p1d": 0.02408283268573197, "alpha_spy_p1d": 0.027849667441090298, "alpha_c_p1d": 0.027849667441090298, "bench_spy_p1d": 0.003766834755358328, "bench_c_p1d": 0.003766834755358328, "ret_p1w": 0.07168386546026051, "ret_signed_p1w": -0.07168386546026051, "alpha_spy_p1w": -0.05973538735497019, "alpha_c_p1w": -0.05973538735497019, "bench_spy_p1w": 0.011948478105290317, "bench_c_p1w": 0.011948478105290317, "ret_p1m": -0.023706530574923335, "ret_signed_p1m": 0.023706530574923335, "alpha_spy_p1m": 0.058934312666550914, "alpha_c_p1m": 0.058934312666550914, "bench_spy_p1m": 0.03522778209162758, "bench_c_p1m": 0.03522778209162758, "ret_p3m": -0.2748824118704476, "ret_signed_p3m": 0.2748824118704476, "alpha_spy_p3m": 0.31808060600036847, "alpha_c_p3m": 0.31808060600036847, "bench_spy_p3m": 0.043198194129920875, "bench_c_p3m": 0.043198194129920875, "ret_p6m": -0.5832549579938324, "ret_signed_p6m": 0.5832549579938324, "alpha_spy_p6m": 0.5607789449876214, "alpha_c_p6m": 0.5607789449876214, "bench_spy_p6m": -0.02247601300621105, "bench_c_p6m": -0.02247601300621105, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.023706530574923335, "alpha_spy_stated": 0.058934312666550914, "alpha_c_stated": 0.058934312666550914, "price_path": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 1.1731, 1.2954, 0.667, 0.4879, 0.6993, 0.4721, 0.4696, 0.5522, 0.6437, 0.5411, 0.4357, 0.4943, 0.4329, 0.3059, 0.393, 0.369, 0.4544, 0.3246, 0.3195, 0.3148, 0.3407, 0.3223, 0.3223, 0.2337, 0.2818, 0.0265, 0.0322, -0.0128, 0.0032, -0.0393, 0.0529, -0.0015, 0.0183, 0.0098, 0.0307, 0.099, 0.0689, 0.1061, 0.0937, 0.0388, 0.0233, -0.0045, 0.0, -0.0241, -0.0536, -0.0233, -0.0021, 0.0717, 0.1447, 0.3373, 0.2783, 0.1488, 0.2094, 0.1443, 0.2008, 0.0873, 0.0694, 0.0482, 0.0482, -0.0064, 0.0038, 0.004, -0.0002, -0.0237, -0.044, -0.0811, -0.0623, -0.0937, -0.1381, -0.172, -0.1349, -0.1675, -0.1643, -0.1631, -0.1722, -0.2369, -0.2751, -0.2967, -0.3084, -0.3276, -0.3684, -0.3545, -0.3326, -0.3321, -0.3202, -0.3202, -0.3232, -0.3285, -0.3193, -0.2969, -0.2717, -0.2856, -0.2916, -0.2762, -0.2613, -0.2721, -0.3214, -0.34, -0.3238, -0.2971, -0.304, -0.2572, -0.2615, -0.2777, -0.2689, -0.2749, -0.2882, -0.292, -0.2969, -0.2924, -0.3025, -0.2946, -0.299, -0.2988, -0.2976, -0.3151, -0.3686, -0.3912, -0.4055, -0.4437, -0.4437, -0.4777, -0.4907, -0.4653, -0.4557, -0.4512, -0.4645, -0.4344, -0.4907, -0.5123, -0.5484, -0.5976, -0.5765, -0.5823, -0.5863, -0.5836, -0.5466, -0.5754, -0.5857, -0.5761, -0.5761, -0.5654, -0.5449, -0.5135, -0.5091, -0.5343, -0.4839, -0.4122, -0.4314, -0.447, -0.4489, -0.4216, -0.4423, -0.4299, -0.4523, -0.4265, -0.4666, -0.4762, -0.5076, -0.5103, -0.489, -0.4835, -0.5247, -0.5443, -0.5535, -0.5635, -0.5885, -0.6032, -0.5833]}
{"unit_id": "quote:1971675077822632064", "ticker_idx": 0, "ts": "2025-09-26T20:35:45+00:00", "symbol": "NVO", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Great time to start building a position!", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish NVO: tariff impact minor since Novo is building in USA; stock at $55 seen as attractive entry.", "resolved_tickers": ["NVO"], "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": "Drug Manufacturers - General", "unit_kind": "quote", "lang": "en", "tweet_text": "The good news for all $NVO investors is that Novo is building in the USA. \n\nThe effects should be minor. \n\n🚨 The stock is already at $55 🚨\n\nGreat time to start building a position!", "reply_text": null, "parent_text": null, "quoted_text": "Tariff man is back with some new tariffs. 😂 https://t.co/ERfdu9Et6r", "parent_author": null, "ret_m1d": 0.001982003075752914, "ret_signed_m1d": 0.001982003075752914, "alpha_spy_m1d": 0.004784480657694101, "alpha_c_m1d": 0.004784480657694101, "bench_spy_m1d": -0.0028024775819411873, "bench_c_m1d": -0.0028024775819411873, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.00018020153072262346, "ret_signed_p1d": -0.00018020153072262346, "alpha_spy_p1d": -0.003947036286080952, "alpha_c_p1d": -0.003947036286080952, "bench_spy_p1d": 0.003766834755358328, "bench_c_p1d": 0.003766834755358328, "ret_p1w": 0.07477479974579393, "ret_signed_p1w": 0.07477479974579393, "alpha_spy_p1w": 0.06282632164050361, "alpha_c_p1w": 0.06282632164050361, "bench_spy_p1w": 0.011948478105290317, "bench_c_p1w": 0.011948478105290317, "ret_p1m": -0.06216218893058123, "ret_signed_p1m": -0.06216218893058123, "alpha_spy_p1m": -0.09738997102220881, "alpha_c_p1m": -0.09738997102220881, "bench_spy_p1m": 0.03522778209162758, "bench_c_p1m": 0.03522778209162758, "ret_p3m": -0.05585584789594222, "ret_signed_p3m": -0.05585584789594222, "alpha_spy_p3m": -0.0990540420258631, "alpha_c_p3m": -0.0990540420258631, "bench_spy_p3m": 0.043198194129920875, "bench_c_p3m": 0.043198194129920875, "ret_p6m": -0.34414409510080557, "ret_signed_p6m": -0.34414409510080557, "alpha_spy_p6m": -0.3216680820945945, "alpha_c_p6m": -0.3216680820945945, "bench_spy_p6m": -0.02247601300621105, "bench_c_p6m": -0.02247601300621105, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.06216218893058123, "alpha_spy_stated": -0.09738997102220881, "alpha_c_stated": -0.09738997102220881, "price_path": [0.244, 0.2324, 0.2324, 0.2351, 0.2408, 0.2417, 0.2652, 0.2281, 0.2283, 0.1977, 0.1945, 0.1633, 0.1458, 0.1567, 0.1898, 0.2477, 0.2602, 0.2775, 0.2294, -0.0389, -0.1086, -0.1613, -0.1414, -0.1303, -0.1587, -0.1915, -0.1312, -0.0899, -0.1115, -0.1131, -0.0931, -0.0922, -0.0662, -0.0315, -0.013, -0.0216, -0.0009, 0.0267, 0.0151, -0.0029, 0.0169, 0.011, 0.0173, 0.0173, 0.0159, 0.0223, 0.0115, -0.0049, -0.022, -0.0216, -0.0204, -0.0216, -0.0114, 0.0022, 0.0306, 0.0486, 0.1144, 0.1063, 0.0939, 0.0728, 0.0584, 0.0097, 0.002, 0.0, -0.0002, 0.0661, 0.0584, 0.0744, 0.0748, 0.0634, 0.0741, 0.0573, 0.0258, 0.036, 0.0209, 0.022, 0.0106, -0.0204, 0.0043, -0.013, -0.0382, -0.0409, -0.0458, -0.047, -0.0622, -0.0744, -0.0984, -0.1088, -0.1151, -0.1306, -0.1268, -0.162, -0.1769, -0.1723, -0.1144, -0.0944, -0.1142, -0.1305, -0.1268, -0.1432, -0.1171, -0.1423, -0.1418, -0.1897, -0.1521, -0.1223, -0.1223, -0.1108, -0.1274, -0.1454, -0.1429, -0.1353, -0.1377, -0.1573, -0.1647, -0.1162, -0.0939, -0.0959, -0.0924, -0.1178, -0.1393, -0.1422, -0.1335, -0.1333, -0.0701, -0.053, -0.0559, -0.0726, -0.0771, -0.0832, -0.056, -0.007, 0.0137, 0.0193, 0.0332, 0.0596, 0.0786, 0.0746, 0.0614, 0.0292, 0.1231, 0.1231, 0.0933, 0.0688, 0.1213, 0.1218, 0.1528, 0.1332, 0.087, 0.069, 0.0708, 0.0618, -0.0937, -0.1497, -0.2191, -0.1416, -0.1105, -0.115, -0.1218, -0.1184, -0.1068, -0.1068, -0.1105, -0.113, -0.127, -0.1456, -0.2859, -0.3047, -0.3124, -0.3222, -0.3252, -0.3196, -0.3395, -0.3063, -0.296, -0.3049, -0.2832, -0.3023, -0.3004, -0.315, -0.316, -0.3049, -0.3076, -0.3252, -0.3319, -0.3418, -0.3366, -0.3353, -0.3454, -0.3441]}
{"unit_id": "orig:1972813139897983261", "ticker_idx": 0, "ts": "2025-09-29T23:58:00+00:00", "symbol": "GOOG", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "The company's key advantages… are beginning to meaningfully widen Google's moat and competitive differentiation in AI.", "tweet_type": "news_reaction", "timeline": "unspecified", "summary": "Shares Pershing Square's bullish thesis on Google: AI moat widening via models, chips, data, and 2B-user distribution.", "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": "original", "lang": "en", "tweet_text": "Bill Ackman's Pershing Square released an investor update on $GOOG Google: \n\n\"The company’s key advantages – stemming from industry-leading models, a full-stack approach to technical infrastructure (including proprietary chips), access to high-quality data, rapidly improving product launch velocity and a robust distribution ecosystem of seven different apps with over two billion users each – are beginning to meaningfully widen Google’s moat and competitive differentiation in AI.\"", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.003325722988034574, "ret_signed_m1d": 0.003325722988034574, "alpha_spy_m1d": 0.007078421946529634, "alpha_c_m1d": 0.001805080037223794, "bench_spy_m1d": -0.00375269895849506, "bench_c_m1d": 0.00152064295081078, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.008170711114263707, "ret_signed_p1d": 0.008170711114263707, "alpha_spy_p1d": 0.0047632312682885924, "alpha_c_p1d": 0.022194562855185618, "bench_spy_p1d": 0.0034074798459751143, "bench_c_p1d": -0.014023851740921911, "ret_p1w": 0.014699244887184992, "ret_signed_p1w": 0.014699244887184992, "alpha_spy_p1w": 0.01028603839470077, "alpha_c_p1w": 0.03421434702898207, "bench_spy_p1w": 0.004413206492484223, "bench_c_p1w": -0.01951510214179708, "ret_p1m": 0.1298295613264726, "ret_signed_p1m": 0.1298295613264726, "alpha_spy_p1m": 0.09799125061467562, "alpha_c_p1m": 0.14740160163180305, "bench_spy_p1m": 0.03183831071179699, "bench_c_p1m": -0.01757204030533044, "ret_p3m": 0.29170656500567804, "ret_signed_p3m": 0.29170656500567804, "alpha_spy_p3m": 0.256126825533868, "alpha_c_p3m": 0.2925374197037923, "bench_spy_p3m": 0.035579739471810035, "bench_c_p3m": -0.0008308546981142806, "ret_p6m": 0.12556592657784926, "ret_signed_p6m": 0.12556592657784926, "alpha_spy_p6m": 0.16831637602320304, "alpha_c_p6m": 0.2154601774730749, "bench_spy_p6m": -0.04275044944535378, "bench_c_p6m": -0.08989425089522562, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.1298295613264726, "alpha_spy_stated": 0.09799125061467562, "alpha_c_stated": 0.14740160163180305, "price_path": [-0.2593, -0.2593, -0.2716, -0.2814, -0.2712, -0.2669, -0.2562, -0.2501, -0.2489, -0.2461, -0.2423, -0.2372, -0.2159, -0.2119, -0.2144, -0.2074, -0.2038, -0.2065, -0.1942, -0.19, -0.2088, -0.2208, -0.197, -0.1987, -0.1922, -0.1907, -0.171, -0.1729, -0.1625, -0.1671, -0.1639, -0.1594, -0.1619, -0.1693, -0.1788, -0.177, -0.152, -0.142, -0.1469, -0.1459, -0.1288, -0.124, -0.124, -0.1304, -0.052, -0.0456, -0.0353, -0.0386, -0.0148, -0.0164, -0.0114, -0.0089, 0.0337, 0.0323, 0.0259, 0.0361, 0.048, 0.0383, 0.0361, 0.0176, 0.0124, 0.0149, 0.0033, 0.0, 0.0082, 0.0118, 0.0119, 0.0327, 0.0147, 0.0078, -0.0055, -0.0249, 0.0045, 0.0108, 0.0335, 0.0342, 0.042, 0.0553, 0.032, 0.0369, 0.0418, 0.0696, 0.1083, 0.1022, 0.1298, 0.1575, 0.1571, 0.1666, 0.1417, 0.1692, 0.1716, 0.1484, 0.1931, 0.1979, 0.1802, 0.146, 0.1373, 0.1727, 0.17, 0.203, 0.1906, 0.2303, 0.3076, 0.3288, 0.315, 0.315, 0.3144, 0.2939, 0.2976, 0.3164, 0.3073, 0.3225, 0.292, 0.3055, 0.3189, 0.2889, 0.2758, 0.2709, 0.2643, 0.2246, 0.248, 0.268, 0.2791, 0.297, 0.297, 0.294, 0.2917, 0.2924, 0.2893, 0.2955, 0.3037, 0.2924, 0.3247, 0.3394, 0.3523, 0.3671, 0.3823, 0.3818, 0.3688, 0.3572, 0.3572, 0.3236, 0.3492, 0.3593, 0.3494, 0.3706, 0.3764, 0.3816, 0.3914, 0.3909, 0.4171, 0.3998, 0.3696, 0.3613, 0.3275, 0.3328, 0.3091, 0.2791, 0.2711, 0.2573, 0.2573, 0.2442, 0.2488, 0.2472, 0.2938, 0.2806, 0.2774, 0.2861, 0.262, 0.2795, 0.2587, 0.2472, 0.2468, 0.2363, 0.2256, 0.2582, 0.2619, 0.2681, 0.2466, 0.2395, 0.2516, 0.2721, 0.2594, 0.257, 0.2285, 0.2294, 0.189, 0.1907, 0.1543, 0.1256]}
{"unit_id": "orig:1973127060454514841", "ticker_idx": 0, "ts": "2025-09-30T20:45:24+00:00", "symbol": "ASML.AS", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "I'm convinced that one stock will skyrocket... $ASML is the toll collector for everyone that's trying to compete in AI", "tweet_type": "analysis", "timeline": "years", "summary": "Long ASML: sole EUV vendor collects toll on all AI chip production; 42% EUV supply growth by 2028 and $1.1T equipment spend through 2030.", "resolved_tickers": ["ASML.AS"], "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": "original", "lang": "en", "tweet_text": "PwC just released their semiconductor industry outlook for 2030.\n\nI analyzed it and I’m convinced that one stock will skyrocket.\n\nThe stock is currently in a 12% drawdown, and we’re relatively still early.\n\nHere’s the thesis:\n\nEUV is the only way to produce the most advanced chips that are driving the AI revolution.\n\nAnd EUV is unambiguously a single-vendor market - controlled entirely by $ASML.\n\nSimply put, $ASML is the toll collector for everyone that’s trying to compete in AI.\n\nAccording to PwC, the supply of EUV equipment will rise by 42% in 2028.\n\nAdditionally, the global spending on equipment from 2024-30 will be $1.1T with just one company at the core - $ASML.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.01580702784951915, "ret_signed_m1d": -0.01580702784951915, "alpha_spy_m1d": -0.012411119492828138, "alpha_c_m1d": 0.006159524681040196, "bench_spy_m1d": -0.003395908356691013, "bench_c_m1d": -0.021966552530559347, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.04302347247336269, "ret_signed_p1d": 0.04302347247336269, "alpha_spy_p1d": 0.041871647676676726, "alpha_c_p1d": 0.02938805458732574, "bench_spy_p1d": 0.001151824796685963, "bench_c_p1d": 0.013635417886036949, "ret_p1w": 0.012360377744450313, "ret_signed_p1w": 0.012360377744450313, "alpha_spy_p1w": 0.005389034346267918, "alpha_c_p1w": -0.02473997310390108, "bench_spy_p1w": 0.006971343398182395, "bench_c_p1w": 0.03710035084835139, "ret_p1m": 0.11618103117277778, "ret_signed_p1m": 0.11618103117277778, "alpha_spy_p1m": 0.09915646962067282, "alpha_c_p1m": 0.026157292672776444, "bench_spy_p1m": 0.017024561552104966, "bench_c_p1m": 0.09002373850000134, "ret_p3m": 0.09344066648945537, "ret_signed_p3m": 0.09344066648945537, "alpha_spy_p3m": 0.06263793823623631, "alpha_c_p3m": 0.0012878388410935138, "bench_spy_p3m": 0.03080272825321906, "bench_c_p3m": 0.09215282764836186, "ret_p6m": 0.3257163109861152, "ret_signed_p6m": 0.3257163109861152, "alpha_spy_p6m": 0.37490708294625663, "alpha_c_p6m": 0.23590825193233056, "bench_spy_p6m": -0.04919077196014143, "bench_c_p6m": 0.08980805905378464, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 252, "stated_label": "p1y", "ret_signed_stated": null, "alpha_spy_stated": null, "alpha_c_stated": null, "price_path": [-0.2184, -0.2039, -0.1953, -0.1942, -0.1821, -0.1893, -0.1853, -0.163, -0.2582, -0.2293, -0.2491, -0.2602, -0.2859, -0.281, -0.2699, -0.283, -0.2533, -0.2596, -0.2542, -0.2713, -0.2928, -0.2841, -0.2903, -0.2953, -0.2742, -0.2668, -0.2548, -0.2466, -0.2386, -0.2359, -0.2433, -0.2409, -0.2366, -0.2415, -0.2459, -0.232, -0.2314, -0.2268, -0.2154, -0.2224, -0.2434, -0.244, -0.2665, -0.2568, -0.2303, -0.2154, -0.1959, -0.188, -0.1916, -0.1847, -0.1802, -0.1331, -0.129, -0.1241, -0.0563, -0.0567, -0.0364, -0.0257, -0.0397, -0.0353, -0.034, -0.0189, -0.0158, 0.0, 0.043, 0.046, 0.0664, 0.0397, 0.0124, 0.01, -0.0327, 0.0031, 0.0062, 0.0376, 0.0428, 0.0408, 0.0685, 0.0575, 0.0341, 0.055, 0.063, 0.0793, 0.0803, 0.0946, 0.1162, 0.0931, 0.1031, 0.093, 0.0794, 0.0659, 0.0368, 0.0557, 0.0559, 0.0618, 0.0495, 0.0407, 0.0434, 0.0306, 0.0556, 0.0594, -0.007, 0.0225, 0.0243, 0.0826, 0.0682, 0.0756, 0.1033, 0.1181, 0.147, 0.1398, 0.133, 0.1468, 0.1345, 0.1263, 0.1202, 0.1017, 0.1084, 0.0818, 0.0406, 0.0628, 0.0734, 0.0668, 0.0753, 0.0703, 0.0703, 0.0796, 0.0934, 0.097, 0.1743, 0.2539, 0.2632, 0.2523, 0.2061, 0.2877, 0.2935, 0.3127, 0.2908, 0.3685, 0.3897, 0.3339, 0.3573, 0.3749, 0.4006, 0.4028, 0.4025, 0.4497, 0.422, 0.4192, 0.4473, 0.4582, 0.4173, 0.358, 0.3687, 0.4213, 0.4364, 0.4223, 0.4399, 0.4065, 0.4192, 0.4247, 0.4297, 0.484, 0.4762, 0.4969, 0.4893, 0.5062, 0.536, 0.4693, 0.4704, 0.443, 0.3851, 0.4304, 0.4139, 0.3674, 0.3682, 0.4306, 0.4292, 0.4073, 0.4063, 0.4275, 0.4232, 0.4199, 0.3932, 0.345, 0.4013, 0.4325, 0.4445, 0.3899, 0.3667, 0.3257]}
{"unit_id": "orig:1973501985870717041", "ticker_idx": 0, "ts": "2025-10-01T21:35:13+00:00", "symbol": "ASML.AS", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Goldman Sachs buy thesis on $ASML", "tweet_type": "news_reaction", "timeline": "quarters", "summary": "Shares/endorses Goldman Sachs Buy thesis on ASML: EUV pause temporary, DRAM adoption accelerating, China exposure manageable, AI-driven leading-edge demand strong.", "resolved_tickers": ["ASML.AS"], "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": "original", "lang": "en", "tweet_text": "Goldman Sachs buy thesis on $ASML:  \n\n\"We believe the  pause in Lithography intensity is temporary, and as such see an increase in EUV  exposed layers in the subsequent nodes post the 2nm process (given it is materially  difficult to execute an architectural transition in tandem with incremental shrinkage).  \n\nAdditionally, we believe that any negative impacts from this temporary pause on the  Logic side would be offset in future by accelerating EUV adoption in DRAM as  customers accelerate layer additions leveraging the 3800E tool. \n\nFurther, we see a  clear path for EUV penetration to rise further as DRAM roadmaps progress from 1β to 1γ nodes and beyond. \n\nMeanwhile, on the Logic side, as GAA matures, customer  focus is expected to shift from architectural transition toward continued EUV shrink, supporting a renewed step-up in lithography intensity. \n\nAs such, we continue to see Lithography as a key strategic technology to manufacture smaller and more powerful chips which would be needed to fulfil the increasingly complex compute requirements going forward.  \n\nASML recently stated that it expects a gradual normalisation of its China exposure in  coming years, with Chinese sales contributing around 20% of total revenues going forward vs mid 20s today. \n\nWe note that management’s confidence  is underpinned by healthy demand due to an emphasis on domestic production in  areas such as Automotive. While management expects China demand to soften in 2026, we view the SMIC capacity additions as a positive driver, albeit SMIC’s  ambitious approach on 7nm Logic could to some extent be balanced by a lack of access to EUV (and a long tail of smaller Chinese players has seen spend dampened  to some extent by reduced local government activity).  \n\nFurther, on the positive side, incremental investment from Memory players should also impact demand levels  positively, though the US redefinition of advanced DRAM has slowed progress on cutting-edge memory ramps.  \n\nMore broadly, we continue to see healthy revenue and GM margin contributions from China as the region continues to develop self-sufficiency in the semis space.  We note that recent  datapoints from our GS Communacopia conference point towards continued strong  demand for leading-edge semis specifically as a result of AI. \n\nFurthermore, we view the Samsung and Tesla deal as a positive for ASML given it broadens the Lithography customer base (assuming Samsung is successful) and lowers ASML’s dependence  on one particular customer.\"", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.04124880562020283, "ret_signed_m1d": -0.04124880562020283, "alpha_spy_m1d": -0.04009830599751085, "alpha_c_m1d": -0.027796811298147817, "bench_spy_m1d": -0.0011504996226919806, "bench_c_m1d": -0.013451994322055016, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0028487522585367575, "ret_signed_p1d": 0.0028487522585367575, "alpha_spy_p1d": 0.002863557664919414, "alpha_c_p1d": 0.007460905971411025, "bench_spy_p1d": -1.4805406382656372e-05, "bench_c_p1d": -0.004612153712874267, "ret_p1w": -0.031677266517889824, "ret_signed_p1w": -0.031677266517889824, "alpha_spy_p1w": -0.03457627543846897, "alpha_c_p1w": -0.05228389143865242, "bench_spy_p1w": 0.002899008920579149, "bench_c_p1w": 0.020606624920762595, "ret_p1m": 0.047995085021383055, "ret_signed_p1m": 0.047995085021383055, "alpha_spy_p1m": 0.028808565776101913, "alpha_c_p1m": -0.02526647875938104, "bench_spy_p1m": 0.01918651924528114, "bench_c_p1m": 0.0732615637807641, "ret_p3m": 0.05176207465011817, "ret_signed_p3m": 0.05176207465011817, "alpha_spy_p3m": 0.02977365523668074, "alpha_c_p3m": -0.01626827867923053, "bench_spy_p3m": 0.021988419413437432, "bench_c_p3m": 0.0680303533293487, "ret_p6m": 0.27926176316397755, "ret_signed_p6m": 0.27926176316397755, "alpha_spy_p6m": 0.3019402432575109, "alpha_c_p6m": 0.1422200687875832, "bench_spy_p6m": -0.02267848009353335, "bench_c_p6m": 0.13704169437639435, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 63, "stated_label": "p3m", "ret_signed_stated": 0.05176207465011817, "alpha_spy_stated": 0.02977365523668074, "alpha_c_stated": -0.01626827867923053, "price_path": [-0.2368, -0.2285, -0.2274, -0.2158, -0.2228, -0.2189, -0.1975, -0.2888, -0.2611, -0.2801, -0.2907, -0.3154, -0.3106, -0.3001, -0.3126, -0.2841, -0.2901, -0.285, -0.3014, -0.322, -0.3136, -0.3196, -0.3244, -0.3041, -0.2971, -0.2856, -0.2777, -0.2701, -0.2674, -0.2745, -0.2722, -0.2681, -0.2728, -0.277, -0.2637, -0.2631, -0.2587, -0.2477, -0.2544, -0.2746, -0.2752, -0.2967, -0.2875, -0.2621, -0.2477, -0.229, -0.2215, -0.2249, -0.2183, -0.214, -0.1689, -0.1649, -0.1602, -0.0953, -0.0956, -0.0761, -0.0659, -0.0793, -0.0751, -0.0738, -0.0594, -0.0564, -0.0412, 0.0, 0.0028, 0.0224, -0.0032, -0.0294, -0.0317, -0.0726, -0.0383, -0.0353, -0.0052, -0.0002, -0.0022, 0.0244, 0.0139, -0.0085, 0.0115, 0.0191, 0.0348, 0.0358, 0.0495, 0.0701, 0.048, 0.0576, 0.0479, 0.0349, 0.022, -0.006, 0.0122, 0.0124, 0.018, 0.0062, -0.0022, 0.0004, -0.0119, 0.012, 0.0157, -0.048, -0.0197, -0.018, 0.038, 0.0241, 0.0312, 0.0578, 0.072, 0.0997, 0.0927, 0.0862, 0.0995, 0.0877, 0.0798, 0.074, 0.0562, 0.0627, 0.0372, -0.0023, 0.019, 0.0292, 0.0228, 0.031, 0.0262, 0.0262, 0.0351, 0.0483, 0.0518, 0.1258, 0.2022, 0.2111, 0.2006, 0.1563, 0.2346, 0.2401, 0.2586, 0.2376, 0.312, 0.3323, 0.2789, 0.3013, 0.3182, 0.3428, 0.3449, 0.3447, 0.3899, 0.3634, 0.3606, 0.3876, 0.3981, 0.3588, 0.302, 0.3122, 0.3627, 0.3771, 0.3636, 0.3805, 0.3485, 0.3606, 0.3659, 0.3707, 0.4228, 0.4153, 0.4352, 0.4279, 0.4441, 0.4727, 0.4087, 0.4098, 0.3835, 0.328, 0.3714, 0.3556, 0.311, 0.3117, 0.3716, 0.3702, 0.3492, 0.3483, 0.3686, 0.3645, 0.3613, 0.3357, 0.2895, 0.3435, 0.3734, 0.3849, 0.3325, 0.3104, 0.271, 0.2793]}
{"unit_id": "quote:1974225488517476771", "ticker_idx": 0, "ts": "2025-10-03T21:30:10+00:00", "symbol": "FICO", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "we're revaluing FICO to $1600 per share", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Long FICO with $1600 price target; fee doubling to $10 drives 25-30%+ revenue growth and higher operating margins.", "resolved_tickers": ["FICO"], "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": "Rebound update: $FICO\n\nThe company with 88% operating margins on its core business is about to have even higher margins, with even quicker growth.\n\nFICO just doubled its fee to $10, from $4.95. This is a huge change for FICO, and the stock is up 21% since yesterday!\n\nThis is because FICO can now directly license its score to lenders, as opposed to bureaus that would then give it to lenders (with a markup)\n\n$FICO will now sell two models:\n\n1) Lenders can directly access the FICO score for $10\n\n2) The second is a performance-based model where the lenders will pay $4.95 upfront but give $33 for a successful loan closure. This helps the lenders as previously, they paid $10 for even unsuccessful loans.\n\nBy our estimates of most of the business shifts to this model. FICO's revenue could go up by >25%-30% with an even larger increase in operating profits.\n\nAs a result, we’re revaluing FICO to $1600 per share.", "reply_text": null, "parent_text": null, "quoted_text": "After today's events:\n\nThe company with 88% OPERATING margins on its core business is about to have even higher margins, with faster growth and a wider moat \n\nWinners keep winning.\n\n$FICO https://t.co/LBGymNqwar", "parent_author": null, "ret_m1d": 0.00025401349570408627, "ret_signed_m1d": 0.00025401349570408627, "alpha_spy_m1d": 0.0038274700750178248, "alpha_c_m1d": 0.0038274700750178248, "bench_spy_m1d": -0.0035734565793137385, "bench_c_m1d": -0.0035734565793137385, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.015874128065687332, "ret_signed_p1d": 0.015874128065687332, "alpha_spy_p1d": 0.019581641955005114, "alpha_c_p1d": 0.019581641955005114, "bench_spy_p1d": -0.0037075138893177817, "bench_c_p1d": -0.0037075138893177817, "ret_p1w": -0.10820031438293687, "ret_signed_p1w": -0.10820031438293687, "alpha_spy_p1w": -0.09543994608544726, "alpha_c_p1w": -0.09543994608544726, "bench_spy_p1w": -0.01276036829748961, "bench_c_p1w": -0.01276036829748961, "ret_p1m": -0.1319223378478459, "ret_signed_p1m": -0.1319223378478459, "alpha_spy_p1m": -0.137327330662539, "alpha_c_p1m": -0.137327330662539, "bench_spy_p1m": 0.005404992814693088, "bench_c_p1m": 0.005404992814693088, "ret_p3m": -0.1063140167615918, "ret_signed_p3m": -0.1063140167615918, "alpha_spy_p3m": -0.1333268854386661, "alpha_c_p3m": -0.1333268854386661, "bench_spy_p3m": 0.02701286867707431, "bench_c_p3m": 0.02701286867707431, "ret_p6m": -0.41099786067854593, "ret_signed_p6m": -0.41099786067854593, "alpha_spy_p6m": -0.3930623120977986, "alpha_c_p6m": -0.3930623120977986, "bench_spy_p6m": -0.017935548580747307, "bench_c_p6m": -0.017935548580747307, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.1319223378478459, "alpha_spy_stated": -0.137327330662539, "alpha_c_stated": -0.137327330662539, "price_path": [-0.1397, -0.1437, -0.1654, -0.1639, -0.1854, -0.1694, -0.1756, -0.1668, -0.1725, -0.1722, -0.1724, -0.1699, -0.1717, -0.1818, -0.1865, -0.1742, -0.2235, -0.2535, -0.2644, -0.2741, -0.2468, -0.2792, -0.2861, -0.2913, -0.2873, -0.2783, -0.2875, -0.274, -0.2703, -0.2515, -0.2735, -0.264, -0.2347, -0.2304, -0.2324, -0.2328, -0.1858, -0.1776, -0.1776, -0.1866, -0.1781, -0.179, -0.172, -0.1686, -0.1641, -0.1729, -0.1371, -0.1655, -0.1594, -0.1603, -0.1613, -0.1773, -0.2016, -0.1682, -0.1705, -0.1659, -0.1631, -0.1791, -0.1755, -0.1911, -0.1824, -0.0354, 0.0003, 0.0, 0.0159, -0.0839, -0.0764, -0.1, -0.1082, -0.1085, -0.1154, -0.1243, -0.1266, -0.1242, -0.1537, -0.1493, -0.1269, -0.099, -0.0892, -0.0992, -0.1531, -0.1431, -0.103, -0.1079, -0.1319, -0.1194, -0.0948, -0.0596, -0.0507, -0.0284, -0.0391, -0.061, -0.0588, -0.0486, -0.0677, -0.0616, -0.0701, -0.0335, -0.0551, -0.0217, -0.0286, -0.0286, -0.024, -0.044, -0.0386, -0.0475, -0.0423, -0.0279, -0.0485, -0.0532, -0.0529, -0.0132, -0.0028, -0.0229, -0.0314, -0.0514, -0.048, -0.055, -0.0581, -0.0672, -0.0644, -0.0524, -0.0424, -0.0564, -0.0862, -0.1118, -0.1063, -0.1352, -0.1458, -0.143, -0.0998, -0.1183, -0.1227, -0.1264, -0.1454, -0.153, -0.153, -0.1922, -0.1701, -0.1585, -0.1651, -0.1618, -0.1649, -0.1754, -0.1883, -0.2092, -0.2158, -0.2822, -0.2504, -0.2664, -0.2482, -0.258, -0.2538, -0.2631, -0.277, -0.2732, -0.2732, -0.2695, -0.2612, -0.2689, -0.2701, -0.3073, -0.3365, -0.2969, -0.2496, -0.2383, -0.2392, -0.2174, -0.2087, -0.2027, -0.2022, -0.221, -0.3054, -0.3702, -0.4089, -0.3886, -0.3722, -0.3515, -0.3494, -0.3984, -0.3905, -0.4253, -0.4622, -0.4362, -0.438, -0.4535, -0.4336, -0.423, -0.426, -0.411]}
{"unit_id": "orig:1974248347381772657", "ticker_idx": 0, "ts": "2025-10-03T23:01:00+00:00", "symbol": "GOOG", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Listen to the signal. Long $GOOG", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Long GOOG citing 50% Gemini traffic growth and share gains vs all other AI competitors.", "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": "original", "lang": "en", "tweet_text": "From last month: \n\n1/ $GOOG Gemini traffic has increased by 50%\n\n2/ every other AI has either dropped share or maintained it. \n\nListen to the signal. Long $GOOG https://t.co/K18QZHARHQ", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.020118456857346367, "ret_signed_m1d": -0.020118456857346367, "alpha_spy_m1d": -0.01654500027803263, "alpha_c_m1d": -0.01908846689029975, "bench_spy_m1d": -0.0035734565793137385, "bench_c_m1d": -0.0010299899670466184, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.01741474458708936, "ret_signed_p1d": -0.01741474458708936, "alpha_spy_p1d": -0.013707230697771577, "alpha_c_p1d": -0.013552348286489768, "bench_spy_p1d": -0.0037075138893177817, "bench_c_p1d": -0.003862396300599591, "ret_p1w": -0.027315043753417423, "ret_signed_p1w": -0.027315043753417423, "alpha_spy_p1w": -0.014554675455927812, "alpha_c_p1w": -0.004398493820709004, "bench_spy_p1w": -0.01276036829748961, "bench_c_p1w": -0.02291654993270842, "ret_p1m": 0.10556240260681671, "ret_signed_p1m": 0.10556240260681671, "alpha_spy_p1m": 0.10015740979212362, "alpha_c_p1m": 0.1373193693775484, "bench_spy_p1m": 0.005404992814693088, "bench_c_p1m": -0.0317569667707317, "ret_p3m": 0.2624827553088118, "ret_signed_p3m": 0.2624827553088118, "alpha_spy_p3m": 0.2354698866317375, "alpha_c_p3m": 0.24856811153151592, "bench_spy_p3m": 0.02701286867707431, "bench_c_p3m": 0.013914643777295899, "ret_p6m": 0.17235767563902238, "ret_signed_p6m": 0.17235767563902238, "alpha_spy_p6m": 0.19029322421976969, "alpha_c_p6m": 0.20746871738520034, "bench_spy_p6m": -0.017935548580747307, "bench_c_p6m": -0.03511104174617796, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.10556240260681671, "alpha_spy_stated": 0.10015740979212362, "alpha_c_stated": 0.1373193693775484, "price_path": [-0.2943, -0.2901, -0.2798, -0.2738, -0.2726, -0.27, -0.2663, -0.2614, -0.2407, -0.2369, -0.2392, -0.2325, -0.229, -0.2317, -0.2197, -0.2157, -0.2339, -0.2454, -0.2224, -0.2241, -0.2177, -0.2163, -0.1972, -0.199, -0.189, -0.1935, -0.1903, -0.186, -0.1885, -0.1956, -0.2048, -0.2031, -0.1788, -0.1691, -0.1739, -0.1729, -0.1564, -0.1518, -0.1518, -0.1579, -0.082, -0.0758, -0.0658, -0.069, -0.046, -0.0475, -0.0427, -0.0403, 0.001, -0.0004, -0.0066, 0.0033, 0.0148, 0.0054, 0.0033, -0.0146, -0.0196, -0.0172, -0.0284, -0.0316, -0.0237, -0.0202, -0.0201, 0.0, -0.0174, -0.0241, -0.037, -0.0557, -0.0273, -0.0212, 0.0008, 0.0015, 0.0091, 0.0219, -0.0007, 0.0041, 0.0088, 0.0358, 0.0732, 0.0673, 0.0941, 0.1208, 0.1205, 0.1297, 0.1056, 0.1322, 0.1345, 0.1121, 0.1554, 0.16, 0.1428, 0.1098, 0.1013, 0.1355, 0.133, 0.1649, 0.153, 0.1914, 0.2662, 0.2868, 0.2734, 0.2734, 0.2728, 0.2529, 0.2565, 0.2748, 0.2659, 0.2806, 0.2511, 0.2642, 0.2771, 0.2481, 0.2354, 0.2307, 0.2243, 0.1859, 0.2085, 0.2278, 0.2387, 0.256, 0.2559, 0.2531, 0.2508, 0.2515, 0.2485, 0.2545, 0.2625, 0.2515, 0.2828, 0.2971, 0.3095, 0.3238, 0.3385, 0.338, 0.3255, 0.3143, 0.3143, 0.2817, 0.3065, 0.3163, 0.3067, 0.3272, 0.3328, 0.3379, 0.3474, 0.3469, 0.3722, 0.3555, 0.3262, 0.3182, 0.2855, 0.2907, 0.2677, 0.2387, 0.2309, 0.2175, 0.2175, 0.2048, 0.2092, 0.2077, 0.2529, 0.2401, 0.237, 0.2454, 0.222, 0.239, 0.2189, 0.2077, 0.2073, 0.1972, 0.1868, 0.2183, 0.222, 0.2279, 0.2072, 0.2002, 0.212, 0.2319, 0.2195, 0.2172, 0.1896, 0.1905, 0.1514, 0.153, 0.1177, 0.0899, 0.0875, 0.1421, 0.1741, 0.1724]}
{"unit_id": "orig:1976012671221973352", "ticker_idx": 0, "ts": "2025-10-08T19:51:48+00:00", "symbol": "FICO", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "I don't think a difference of $5/score is going to make a dent on FICO's ~90% market share. You're going to have to make a bigger play than pricing to convince lenders to jump ship.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Dismisses the 10% selloff as overblown; ~90% market share is too entrenched to be threatened by a $5/score pricing difference.", "resolved_tickers": ["FICO"], "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": "This is the reason $FICO is down 10%? \n\nI don't think a difference of $5/score is going to make a dent on FICO's ~90% market share. \n\nYou're going to have to make a bigger play than pricing to convince lenders to jump ship. https://t.co/csHJnXcNrL", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.10887253644479489, "ret_signed_m1d": 0.10887253644479489, "alpha_spy_m1d": 0.11480024446382686, "alpha_c_m1d": 0.11480024446382686, "bench_spy_m1d": -0.005927708019031974, "bench_c_m1d": -0.005927708019031974, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.008117951921432942, "ret_signed_p1d": 0.008117951921432942, "alpha_spy_p1d": 0.011014926646366163, "alpha_c_p1d": 0.011014926646366163, "bench_spy_p1d": -0.002896974724933221, "bench_c_p1d": -0.002896974724933221, "ret_p1w": -0.03443046649596604, "ret_signed_p1w": -0.03443046649596604, "alpha_spy_p1w": -0.02263447839362165, "alpha_c_p1w": -0.02263447839362165, "bench_spy_p1w": -0.01179598810234439, "bench_c_p1w": -0.01179598810234439, "ret_p1m": -0.011923210376966753, "ret_signed_p1m": -0.011923210376966753, "alpha_spy_p1m": -0.007763437731791889, "alpha_c_p1m": -0.007763437731791889, "bench_spy_p1m": -0.004159772645174864, "bench_c_p1m": -0.004159772645174864, "ret_p3m": -0.0675512234973954, "ret_signed_p3m": -0.0675512234973954, "alpha_spy_p3m": -0.09504697508569837, "alpha_c_p3m": -0.09504697508569837, "bench_spy_p3m": 0.027495751588302975, "bench_c_p3m": 0.027495751588302975, "ret_p6m": -0.35438732515781546, "ret_signed_p6m": -0.35438732515781546, "alpha_spy_p6m": -0.33889501088131446, "alpha_c_p6m": -0.33889501088131446, "bench_spy_p6m": -0.015492314276500996, "bench_c_p6m": -0.015492314276500996, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.011923210376966753, "alpha_spy_stated": -0.007763437731791889, "alpha_c_stated": -0.007763437731791889, "price_path": [-0.089, -0.0873, -0.1108, -0.0934, -0.1001, -0.0905, -0.0967, -0.0964, -0.0966, -0.0939, -0.0959, -0.1069, -0.1121, -0.0986, -0.1524, -0.1852, -0.1971, -0.2076, -0.1778, -0.2132, -0.2207, -0.2264, -0.222, -0.2122, -0.2223, -0.2076, -0.2035, -0.1829, -0.207, -0.1966, -0.1647, -0.16, -0.1622, -0.1626, -0.1113, -0.1023, -0.1023, -0.1122, -0.1028, -0.1039, -0.0962, -0.0925, -0.0876, -0.0971, -0.0581, -0.0891, -0.0825, -0.0835, -0.0845, -0.102, -0.1285, -0.0921, -0.0945, -0.0896, -0.0865, -0.104, -0.1, -0.1171, -0.1076, 0.0529, 0.0918, 0.0915, 0.1089, 0.0, 0.0081, -0.0176, -0.0266, -0.0268, -0.0344, -0.0442, -0.0466, -0.044, -0.0762, -0.0714, -0.047, -0.0165, -0.0059, -0.0167, -0.0756, -0.0647, -0.0209, -0.0263, -0.0525, -0.0388, -0.0119, 0.0265, 0.0362, 0.0606, 0.0489, 0.0249, 0.0274, 0.0385, 0.0177, 0.0243, 0.0151, 0.055, 0.0314, 0.0678, 0.0603, 0.0603, 0.0654, 0.0435, 0.0494, 0.0397, 0.0453, 0.0611, 0.0386, 0.0334, 0.0338, 0.0772, 0.0885, 0.0665, 0.0573, 0.0354, 0.0392, 0.0315, 0.0281, 0.0182, 0.0212, 0.0343, 0.0452, 0.0299, -0.0026, -0.0305, -0.0245, -0.0561, -0.0676, -0.0645, -0.0174, -0.0376, -0.0424, -0.0464, -0.0672, -0.0754, -0.0754, -0.1183, -0.0941, -0.0815, -0.0887, -0.0851, -0.0885, -0.0999, -0.114, -0.1368, -0.144, -0.2165, -0.1818, -0.1992, -0.1794, -0.1901, -0.1854, -0.1957, -0.2108, -0.2066, -0.2066, -0.2026, -0.1936, -0.2019, -0.2033, -0.2439, -0.2757, -0.2325, -0.1809, -0.1685, -0.1696, -0.1457, -0.1363, -0.1297, -0.1292, -0.1497, -0.2418, -0.3126, -0.3548, -0.3326, -0.3147, -0.2921, -0.2899, -0.3433, -0.3347, -0.3727, -0.413, -0.3846, -0.3865, -0.4035, -0.3817, -0.3702, -0.3735, -0.3571, -0.3571, -0.3544]}
{"unit_id": "thread:1976393231610118165", "ticker_idx": 0, "ts": "2025-10-09T21:04:00+00:00", "symbol": "ASML.AS", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Personally, I think ASML will end up close to the high case here. We're already pretty close to moderate, and I'm not convinced that the stock will flatline here.", "tweet_type": "analysis", "timeline": "years", "summary": "Bullish ASML toward JPM's $2100 high case on memory-bandwidth upside and conservative guidance history.", "resolved_tickers": ["ASML.AS"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SMH", "bench_c_reason": "industry='Semiconductor Equipment & Materials'", "bench_c_industry": "Semiconductor Equipment & Materials", "unit_kind": "self_thread", "lang": "en", "tweet_text": "$ASML High/low/moderate case by JPM\n\nBest case: $2100; 35x multiple (likely)\n\nModerate case: $1237; 25-30x multiple (most likely)\n\nLow case: $653; 20x multiple (very very unlikely)\n\nI think the cases are still below what they should be for two reasons: \n\n1. ASML has a bunch of upside in the memory-bandwidth space, especially when companies like Samsung are now using High NA for the same. \n\n2. ASML is known to promise less in their guidance (the base for these cases)\n\nPersonally, I think ASML will end up close to the high case here. \n\nWe're already pretty close to moderate, and I'm not convinced that the stock will flatline here.\n\n---\n\nPhotos and insight from @PythiaR", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.04410856139646713, "ret_signed_m1d": 0.04410856139646713, "alpha_spy_m1d": 0.016329901424382953, "alpha_c_m1d": -0.016965961791677975, "bench_spy_m1d": 0.027778659972084174, "bench_c_m1d": 0.0610745231881451, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.03698242640211036, "ret_signed_p1d": 0.03698242640211036, "alpha_spy_p1d": 0.02163830826694202, "alpha_c_p1d": -0.007309681973082238, "bench_spy_p1d": 0.015344118135168339, "bench_c_p1d": 0.044292108375192596, "ret_p1w": 0.07593073514093085, "ret_signed_p1w": 0.07593073514093085, "alpha_spy_p1w": 0.05851926663798479, "alpha_c_p1w": 0.022171642839248884, "bench_spy_p1w": 0.01741146850294606, "bench_c_p1w": 0.053759092301681966, "ret_p1m": 0.09136874670779171, "ret_signed_p1m": 0.09136874670779171, "alpha_spy_p1m": 0.04784789739875728, "alpha_c_p1m": -0.01144680875910642, "bench_spy_p1m": 0.04352084930903444, "bench_c_p1m": 0.10281555546689813, "ret_p3m": 0.33125562177437096, "ret_signed_p3m": 0.33125562177437096, "alpha_spy_p3m": 0.26525317359878375, "alpha_c_p3m": 0.13118461845398244, "bench_spy_p3m": 0.0660024481755872, "bench_c_p3m": 0.20007100332038852, "ret_p6m": 0.49449623058874015, "ret_signed_p6m": 0.49449623058874015, "alpha_spy_p6m": 0.4533960386871332, "alpha_c_p6m": 0.1905189343379714, "bench_spy_p6m": 0.041100191901606964, "bench_c_p6m": 0.30397729625076875, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 252, "stated_label": "p1y", "ret_signed_stated": null, "alpha_spy_stated": null, "alpha_c_stated": null, "price_path": [-0.1347, -0.2331, -0.2032, -0.2237, -0.2352, -0.2618, -0.2567, -0.2453, -0.2588, -0.228, -0.2345, -0.229, -0.2467, -0.269, -0.2599, -0.2664, -0.2715, -0.2497, -0.242, -0.2296, -0.2212, -0.2129, -0.2101, -0.2177, -0.2153, -0.2108, -0.2159, -0.2204, -0.206, -0.2054, -0.2006, -0.1888, -0.1961, -0.2178, -0.2185, -0.2417, -0.2317, -0.2043, -0.1888, -0.1687, -0.1606, -0.1643, -0.1571, -0.1525, -0.1038, -0.0995, -0.0945, -0.0245, -0.0248, -0.0038, 0.0072, -0.0072, -0.0027, -0.0014, 0.0143, 0.0174, 0.0338, 0.0783, 0.0813, 0.1025, 0.0748, 0.0466, 0.0441, 0.0, 0.037, 0.0402, 0.0726, 0.078, 0.0759, 0.1046, 0.0933, 0.0691, 0.0907, 0.0989, 0.1157, 0.1168, 0.1316, 0.1539, 0.13, 0.1404, 0.1299, 0.1159, 0.102, 0.0718, 0.0914, 0.0916, 0.0976, 0.085, 0.0759, 0.0787, 0.0654, 0.0912, 0.0952, 0.0265, 0.057, 0.0589, 0.1192, 0.1043, 0.1119, 0.1406, 0.1559, 0.1858, 0.1783, 0.1712, 0.1855, 0.1728, 0.1644, 0.1581, 0.1389, 0.1459, 0.1183, 0.0757, 0.0988, 0.1097, 0.1028, 0.1117, 0.1065, 0.1065, 0.1161, 0.1304, 0.1341, 0.214, 0.2963, 0.3059, 0.2946, 0.2468, 0.3313, 0.3372, 0.3571, 0.3345, 0.4147, 0.4366, 0.379, 0.4031, 0.4214, 0.4479, 0.4502, 0.4499, 0.4986, 0.4701, 0.4671, 0.4962, 0.5075, 0.4652, 0.4039, 0.415, 0.4694, 0.4849, 0.4703, 0.4886, 0.4541, 0.4671, 0.4728, 0.478, 0.5342, 0.526, 0.5475, 0.5396, 0.5571, 0.5879, 0.5189, 0.5201, 0.4918, 0.4319, 0.4787, 0.4617, 0.4136, 0.4144, 0.479, 0.4775, 0.4548, 0.4538, 0.4758, 0.4713, 0.4679, 0.4403, 0.3905, 0.4486, 0.4809, 0.4933, 0.4368, 0.4129, 0.3705, 0.3794, 0.4637, 0.4309, 0.4309, 0.4309, 0.3727, 0.4945]}
{"unit_id": "orig:1976498781316317416", "ticker_idx": 0, "ts": "2025-10-10T04:03:25+00:00", "symbol": "GOOG", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$GOOG just had their best quarter in 20 years!", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish GOOG on what author calls their best quarter in 20 years; implied durable strength.", "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": "original", "lang": "en", "tweet_text": "$GOOG just had their best quarter in 20 years! https://t.co/8soq8UapNs", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.019874597793777093, "ret_signed_m1d": 0.019874597793777093, "alpha_spy_m1d": -0.00790406217830708, "alpha_c_m1d": 0.0010803062822206666, "bench_spy_m1d": 0.027778659972084174, "bench_c_m1d": 0.018794291511556427, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.030106482049541583, "ret_signed_p1d": 0.030106482049541583, "alpha_spy_p1d": 0.014762363914373244, "alpha_c_p1d": 0.02088664736925594, "bench_spy_p1d": 0.015344118135168339, "bench_c_p1d": 0.009219834680285643, "ret_p1w": 0.06863446167165099, "ret_signed_p1w": 0.06863446167165099, "alpha_spy_p1w": 0.05122299316870493, "alpha_c_p1w": 0.04966279083553515, "bench_spy_p1w": 0.01741146850294606, "bench_c_p1w": 0.01897167083611584, "ret_p1m": 0.22358835610168293, "ret_signed_p1m": 0.22358835610168293, "alpha_spy_p1m": 0.1800675067926485, "alpha_c_p1m": 0.21933302678799205, "bench_spy_p1m": 0.04352084930903444, "bench_c_p1m": 0.004255329313690881, "ret_p3m": 0.38681529665376524, "ret_signed_p3m": 0.38681529665376524, "alpha_spy_p3m": 0.32081284847817804, "alpha_c_p3m": 0.33812982486673504, "bench_spy_p3m": 0.0660024481755872, "bench_c_p3m": 0.0486854717870302, "ret_p6m": 0.3270757549168266, "ret_signed_p6m": 0.3270757549168266, "alpha_spy_p6m": 0.28597556301521965, "alpha_c_p6m": 0.31162539468119, "bench_spy_p6m": 0.041100191901606964, "bench_c_p6m": 0.015450360235636618, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.22358835610168293, "alpha_spy_stated": 0.1800675067926485, "alpha_c_stated": 0.21933302678799205, "price_path": [-0.2297, -0.2269, -0.223, -0.2178, -0.1958, -0.1918, -0.1943, -0.1872, -0.1835, -0.1863, -0.1736, -0.1694, -0.1886, -0.2009, -0.1765, -0.1783, -0.1716, -0.1701, -0.1498, -0.1518, -0.1411, -0.1459, -0.1425, -0.138, -0.1406, -0.1481, -0.1578, -0.156, -0.1303, -0.1201, -0.1252, -0.1241, -0.1066, -0.1017, -0.1017, -0.1082, -0.0278, -0.0212, -0.0107, -0.014, 0.0103, 0.0087, 0.0139, 0.0164, 0.0601, 0.0587, 0.052, 0.0625, 0.0747, 0.0648, 0.0625, 0.0435, 0.0382, 0.0408, 0.0289, 0.0255, 0.0339, 0.0376, 0.0377, 0.059, 0.0406, 0.0336, 0.0199, 0.0, 0.0301, 0.0366, 0.0599, 0.0606, 0.0686, 0.0822, 0.0583, 0.0633, 0.0684, 0.0969, 0.1366, 0.1303, 0.1587, 0.187, 0.1867, 0.1963, 0.1708, 0.199, 0.2015, 0.1777, 0.2236, 0.2284, 0.2103, 0.1753, 0.1663, 0.2026, 0.1999, 0.2337, 0.221, 0.2617, 0.341, 0.3628, 0.3486, 0.3486, 0.3479, 0.3269, 0.3307, 0.35, 0.3406, 0.3562, 0.3249, 0.3388, 0.3525, 0.3218, 0.3084, 0.3033, 0.2966, 0.2559, 0.2798, 0.3003, 0.3118, 0.3301, 0.3301, 0.3271, 0.3247, 0.3253, 0.3222, 0.3286, 0.337, 0.3253, 0.3585, 0.3736, 0.3868, 0.4019, 0.4175, 0.417, 0.4038, 0.3919, 0.3919, 0.3574, 0.3836, 0.394, 0.3838, 0.4056, 0.4115, 0.4169, 0.4269, 0.4264, 0.4532, 0.4355, 0.4045, 0.396, 0.3614, 0.3668, 0.3425, 0.3118, 0.3035, 0.2894, 0.2894, 0.2759, 0.2806, 0.279, 0.3268, 0.3133, 0.31, 0.3189, 0.2942, 0.3122, 0.2908, 0.279, 0.2786, 0.2679, 0.2569, 0.2903, 0.2941, 0.3004, 0.2785, 0.2711, 0.2836, 0.3046, 0.2915, 0.2891, 0.2598, 0.2608, 0.2194, 0.221, 0.1837, 0.1543, 0.1517, 0.2095, 0.2434, 0.2416, 0.2416, 0.2551, 0.2815, 0.3271]}
{"unit_id": "quote:1977479740153012725", "ticker_idx": 0, "ts": "2025-10-12T21:01:24+00:00", "symbol": "GOOG", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Very bullish $GOOG", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish GOOG on Google Cloud's 32% YoY growth cementing its Big Three status.", "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": "Okay but can we acknowledge how $GOOG has turned Cloud from \"a Cloud-computing Upstart\" to one of the\"The Big Three\" \n\nIt's growing 32% YoY at the moment. \n\nVery bullish $GOOG", "reply_text": null, "parent_text": null, "quoted_text": "This is how dead AWS is:\n$AMZN https://t.co/jcQhNobRoe", "parent_author": null, "ret_m1d": -0.029226572761332892, "ret_signed_m1d": -0.029226572761332892, "alpha_spy_m1d": -0.014114338533443571, "alpha_c_m1d": -0.02009096685718781, "bench_spy_m1d": -0.01511223422788932, "bench_c_m1d": -0.009135605904145083, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.00633589776070953, "ret_signed_p1d": 0.00633589776070953, "alpha_spy_p1d": 0.0075575440483508505, "alpha_c_p1d": -0.00025232053950019484, "bench_spy_p1d": -0.0012216462876413203, "bench_c_p1d": 0.006588218300209725, "ret_p1w": 0.050605001586427445, "ret_signed_p1w": 0.050605001586427445, "alpha_spy_p1w": 0.03814721669604415, "alpha_c_p1w": 0.02952279770155486, "bench_spy_p1w": 0.012457784890383294, "bench_c_p1w": 0.021082203884872586, "ret_p1m": 0.19252778653918412, "ret_signed_p1m": 0.19252778653918412, "alpha_spy_p1m": 0.1624240719065495, "alpha_c_p1m": 0.1893654119998327, "bench_spy_p1m": 0.030103714632634615, "bench_c_p1m": 0.00316237453935142, "ret_p3m": 0.3609675625757631, "ret_signed_p3m": 0.3609675625757631, "alpha_spy_p3m": 0.3094260068321415, "alpha_c_p3m": 0.32503505397683385, "bench_spy_p3m": 0.051541555743621625, "bench_c_p3m": 0.03593250859892927, "ret_p6m": 0.2949618104407732, "ret_signed_p6m": 0.2949618104407732, "alpha_spy_p6m": 0.26367960903453413, "alpha_c_p6m": 0.2847214055962397, "bench_spy_p6m": 0.03128220140623905, "bench_c_p6m": 0.01024040484453348, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.19252778653918412, "alpha_spy_stated": 0.1624240719065495, "alpha_c_stated": 0.1893654119998327, "price_path": [-0.2495, -0.2457, -0.2406, -0.2193, -0.2154, -0.2179, -0.211, -0.2074, -0.2101, -0.1978, -0.1937, -0.2124, -0.2242, -0.2006, -0.2023, -0.1958, -0.1943, -0.1747, -0.1765, -0.1662, -0.1708, -0.1676, -0.1631, -0.1657, -0.173, -0.1824, -0.1807, -0.1558, -0.1458, -0.1507, -0.1497, -0.1327, -0.1279, -0.1279, -0.1342, -0.0562, -0.0498, -0.0396, -0.0428, -0.0192, -0.0208, -0.0158, -0.0133, 0.0291, 0.0277, 0.0213, 0.0314, 0.0433, 0.0337, 0.0315, 0.013, 0.0079, 0.0104, -0.0011, -0.0045, 0.0037, 0.0073, 0.0074, 0.0281, 0.0102, 0.0034, -0.0099, -0.0292, 0.0, 0.0063, 0.0289, 0.0296, 0.0374, 0.0506, 0.0274, 0.0323, 0.0372, 0.0649, 0.1034, 0.0972, 0.1248, 0.1523, 0.152, 0.1614, 0.1366, 0.164, 0.1664, 0.1433, 0.1878, 0.1925, 0.1749, 0.1409, 0.1322, 0.1674, 0.1648, 0.1976, 0.1853, 0.2249, 0.3018, 0.3229, 0.3092, 0.3092, 0.3085, 0.2881, 0.2918, 0.3106, 0.3015, 0.3166, 0.2862, 0.2997, 0.313, 0.2831, 0.2701, 0.2652, 0.2587, 0.2192, 0.2424, 0.2623, 0.2734, 0.2912, 0.2912, 0.2883, 0.286, 0.2866, 0.2835, 0.2898, 0.2979, 0.2866, 0.3188, 0.3335, 0.3463, 0.361, 0.3761, 0.3756, 0.3627, 0.3512, 0.3512, 0.3177, 0.3432, 0.3532, 0.3434, 0.3645, 0.3703, 0.3755, 0.3852, 0.3847, 0.4107, 0.3936, 0.3635, 0.3552, 0.3216, 0.3269, 0.3033, 0.2734, 0.2654, 0.2517, 0.2517, 0.2386, 0.2432, 0.2417, 0.288, 0.2749, 0.2718, 0.2804, 0.2563, 0.2738, 0.2531, 0.2417, 0.2412, 0.2308, 0.2201, 0.2526, 0.2563, 0.2624, 0.2411, 0.2339, 0.246, 0.2665, 0.2537, 0.2514, 0.223, 0.2239, 0.1837, 0.1853, 0.1491, 0.1206, 0.118, 0.1742, 0.2071, 0.2053, 0.2053, 0.2184, 0.244, 0.2883, 0.295]}
{"unit_id": "thread:1977481508933054681", "ticker_idx": 0, "ts": "2025-10-12T21:08:26+00:00", "symbol": "GOOGL", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Google will keep standing, regardless of other companies", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish Google: vertical integration (models, hardware, distribution) insulates it from OpenAI instability risk that threatens the rest of the AI market.", "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": "self_thread", "lang": "en", "tweet_text": "The entire AI market, except one company, falls if OpenAI isn’t stable.\n\nHere’s how:\n\nMorgan Stanley reported that OpenAI makes up $330B out of $880B of contracts from Microsoft, Oracle and CoreWeave.\n\nBasically, a lot of the AI market relies on OpenAI’s stability.\n\nWhen you bring AMD and Nvidia into the picture, consider at least $50B more.\n\nYou’ll notice Google is absent from this massive equation.\n\nThat’s because Google creates its own models, hardware and distribution.\n\nThat’s independence on an entirely different scale, in an industry where $100B customer contracts are the norm.\n\nThat is why Google will keep standing, regardless of other companies.\n\n---\n\nRead my 2-part deep dive on Google, to understand Google’s moat:\n\nhttps://open.substack.com/pub/reboundcapital/p/deep-dive-alphabet-inc-goog?r=5tpz56&utm_campaign=post&utm_medium=web&showWelcomeOnShare=false", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.031046499082086454, "ret_signed_m1d": -0.031046499082086454, 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{"unit_id": "reply:1977840778388050258", "ticker_idx": 0, "ts": "2025-10-13T20:56:02+00:00", "symbol": "GOOG", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Still undervalued according to my framework.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Holds GOOG; still considers it undervalued by own framework — bullish forward stance.", "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": "@WOLF_Financial $GOOG up 47%. \n\nStill undervalued according to my framework.", "reply_text": null, "parent_text": "What is the #1 best performing stock in your portfolio today?", "quoted_text": null, "parent_author": "WOLF_Financial", "ret_m1d": -0.006296006904660811, "ret_signed_m1d": -0.006296006904660811, "alpha_spy_m1d": -0.0075191474373933476, "alpha_c_m1d": 0.00024909086266156066, "bench_spy_m1d": 0.0012231405327325362, "bench_c_m1d": -0.006545097767322372, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.022421703726805298, "ret_signed_p1d": 0.022421703726805298, "alpha_spy_p1d": 0.01798217381719991, "alpha_c_p1d": 0.01535304919714231, "bench_spy_p1d": 0.004439529909605389, "bench_c_p1d": 0.007068654529662988, "ret_p1w": 0.02091879236001115, "ret_signed_p1w": 0.02091879236001115, "alpha_spy_p1w": 0.007237776854135403, "alpha_c_p1w": 0.0029416415514778027, "bench_spy_p1w": 0.013681015505875749, "bench_c_p1w": 0.01797715080853335, "ret_p1m": 0.1675129198460934, "ret_signed_p1m": 0.1675129198460934, "alpha_spy_p1m": 0.1355753098638095, "alpha_c_p1m": 0.17667607015693554, "bench_spy_p1m": 0.0319376099822839, "bench_c_p1m": -0.009163150310842139, "ret_p3m": 0.3674377028613629, "ret_signed_p3m": 0.3674377028613629, "alpha_spy_p3m": 0.3167151002056554, "alpha_c_p3m": 0.34406374533926365, "bench_spy_p3m": 0.050722602655707494, "bench_c_p3m": 0.023373957522099253, "ret_p6m": 0.28416482505530416, "ret_signed_p6m": 0.28416482505530416, "alpha_spy_p6m": 0.25230453257212626, "alpha_c_p6m": 0.28334714131933003, "bench_spy_p6m": 0.0318602924831779, "bench_c_p6m": 0.0008176837359741285, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.1675129198460934, "alpha_spy_stated": 0.1355753098638095, "alpha_c_stated": 0.17667607015693554, "price_path": [-0.2504, -0.2454, -0.2243, -0.2204, -0.2228, -0.2159, -0.2124, -0.215, -0.2028, -0.1987, -0.2173, -0.2291, -0.2056, -0.2073, -0.2008, -0.1994, -0.1799, -0.1817, -0.1715, -0.176, -0.1728, -0.1684, -0.1709, -0.1782, -0.1876, -0.1858, -0.1611, -0.1512, -0.1561, -0.155, -0.1381, -0.1334, -0.1334, -0.1397, -0.0621, -0.0558, -0.0456, -0.0489, -0.0254, -0.0269, -0.022, -0.0195, 0.0226, 0.0212, 0.0149, 0.0249, 0.0368, 0.0272, 0.025, 0.0067, 0.0015, 0.004, -0.0074, -0.0107, -0.0026, 0.001, 0.0011, 0.0216, 0.0038, -0.003, -0.0162, -0.0353, -0.0063, 0.0, 0.0224, 0.0231, 0.0309, 0.044, 0.0209, 0.0258, 0.0306, 0.0582, 0.0964, 0.0903, 0.1177, 0.1451, 0.1447, 0.1541, 0.1295, 0.1566, 0.159, 0.1361, 0.1803, 0.185, 0.1675, 0.1338, 0.1251, 0.1601, 0.1575, 0.1901, 0.1779, 0.2171, 0.2936, 0.3146, 0.3009, 0.3009, 0.3003, 0.28, 0.2836, 0.3023, 0.2933, 0.3083, 0.2781, 0.2915, 0.3047, 0.2751, 0.2621, 0.2572, 0.2508, 0.2115, 0.2346, 0.2544, 0.2654, 0.2831, 0.2831, 0.2802, 0.2779, 0.2785, 0.2755, 0.2816, 0.2898, 0.2785, 0.3105, 0.3251, 0.3378, 0.3524, 0.3674, 0.3669, 0.3541, 0.3427, 0.3427, 0.3094, 0.3347, 0.3447, 0.3349, 0.3559, 0.3616, 0.3668, 0.3765, 0.376, 0.4019, 0.3848, 0.3549, 0.3467, 0.3133, 0.3185, 0.2951, 0.2654, 0.2575, 0.2438, 0.2438, 0.2308, 0.2354, 0.2338, 0.2799, 0.2669, 0.2638, 0.2723, 0.2484, 0.2658, 0.2452, 0.2338, 0.2334, 0.2231, 0.2125, 0.2447, 0.2484, 0.2545, 0.2333, 0.2262, 0.2382, 0.2585, 0.2458, 0.2435, 0.2153, 0.2162, 0.1763, 0.1779, 0.1419, 0.1135, 0.111, 0.1668, 0.1995, 0.1977, 0.1977, 0.2107, 0.2362, 0.2802, 0.2868, 0.2842]}
{"unit_id": "orig:1978578181499351444", "ticker_idx": 0, "ts": "2025-10-15T21:46:13+00:00", "symbol": "ASML.AS", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$ASML is truly becoming a one-stop shop for all AI hardware needs", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish ASML as a key enabler of AI memory bandwidth solutions via EUV/High-NA tools for next-gen HBM and DRAM.", "resolved_tickers": ["ASML.AS"], "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": "original", "lang": "en", "tweet_text": "Here's the quiet part loud from $ASML's earnings. \n\nMemory is quickly becoming a big part of their sales.\n\nWhy?\n\nBecause hardware Memory bandwidth is becoming the choke point slowing down the entire AI market.\n\nFor reference, 100k H100 GPUs can burn close to $6M/day sitting idle due to memory-bandwidth.\n\n$ASML can play a significant role in solving this.\n\nHere’s how:\n\nDuring 2018–2022, transformer model size grew ~240× every 2 years, while memory per accelerator grew only about 2× every 2 years.\n\nThis has pushed the entire industry into a “memory wall”.\n\nIn simple terms, the chips are processing much quicker than the memory is able to supply them with data - increasing the time per task significantly.\n\nTo solve this, ASML is already working with memory manufacturers like SK hynix to deliver EUV/High-NA tools that enable finer patterning for next-gen high-bandwidth DRAM and 3D integration.\n\nThe applications for this are massive, $MU Micron even stated that their EUV process for DRAM was 20% more power efficient and had 15% more performance.\n\n$ASML is truly becoming a one-stop shop for all AI hardware needs.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.005014915578163248, "ret_signed_m1d": -0.005014915578163248, "alpha_spy_m1d": -0.01187193366304784, "alpha_c_m1d": -0.0005873776332838698, "bench_spy_m1d": 0.006857018084884592, "bench_c_m1d": -0.004427537944879378, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.001937528568143665, "ret_signed_p1d": -0.001937528568143665, "alpha_spy_p1d": -0.007613921096611631, "alpha_c_p1d": -0.0005684801900776026, "bench_spy_p1d": 0.005676392528467966, "bench_c_p1d": -0.0013690483780660623, "ret_p1w": 0.011739164246475253, "ret_signed_p1w": 0.011739164246475253, "alpha_spy_p1w": -0.005093087157275855, "alpha_c_p1w": 0.0073697660490392725, "bench_spy_p1w": 0.01683225140375111, "bench_c_p1w": 0.004369398197435981, "ret_p1m": -0.0020027772291824064, "ret_signed_p1m": -0.0020027772291824064, "alpha_spy_p1m": -0.01909231818531021, "alpha_c_p1m": -0.006896592381702593, "bench_spy_p1m": 0.017089540956127802, "bench_c_p1m": 0.004893815152520187, "ret_p3m": 0.3123189751778148, "ret_signed_p3m": 0.3123189751778148, "alpha_spy_p3m": 0.2613902688831542, "alpha_c_p3m": 0.15402156379656695, "bench_spy_p3m": 0.05092870629466062, "bench_c_p3m": 0.15829741138124787, "ret_p6m": 0.4681936205412016, "ret_signed_p6m": 0.4681936205412016, "alpha_spy_p6m": 0.41101525600289346, "alpha_c_p6m": 0.1474640095130546, "bench_spy_p6m": 0.05717836453830816, "bench_c_p6m": 0.320729611028147, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.0020027772291824064, "alpha_spy_stated": -0.01909231818531021, "alpha_c_stated": -0.006896592381702593, "price_path": [-0.2906, -0.3152, -0.3105, -0.2999, -0.3124, -0.2839, -0.2899, -0.2848, -0.3012, -0.3219, -0.3134, -0.3195, -0.3243, -0.304, -0.2969, -0.2854, -0.2775, -0.2699, -0.2673, -0.2743, -0.2721, -0.268, -0.2726, -0.2768, -0.2635, -0.2629, -0.2585, -0.2475, -0.2543, -0.2744, -0.275, -0.2966, -0.2873, -0.2619, -0.2475, -0.2289, -0.2213, -0.2248, -0.2181, -0.2138, -0.1687, -0.1647, -0.16, -0.0951, -0.0954, -0.0759, -0.0656, -0.0791, -0.0749, -0.0736, -0.0592, -0.0562, -0.041, 0.0002, 0.0031, 0.0227, -0.003, -0.0292, -0.0315, -0.0724, -0.0381, -0.0351, -0.005, 0.0, -0.0019, 0.0246, 0.0141, -0.0083, 0.0117, 0.0194, 0.035, 0.036, 0.0497, 0.0704, 0.0482, 0.0578, 0.0481, 0.0351, 0.0222, -0.0058, 0.0124, 0.0126, 0.0182, 0.0064, -0.002, 0.0006, -0.0117, 0.0123, 0.0159, -0.0478, -0.0195, -0.0178, 0.0382, 0.0244, 0.0315, 0.0581, 0.0722, 0.1, 0.093, 0.0865, 0.0997, 0.088, 0.0801, 0.0743, 0.0565, 0.063, 0.0374, -0.0021, 0.0192, 0.0294, 0.023, 0.0312, 0.0264, 0.0264, 0.0353, 0.0486, 0.052, 0.1261, 0.2025, 0.2114, 0.2009, 0.1566, 0.2349, 0.2404, 0.2589, 0.2379, 0.3123, 0.3326, 0.2792, 0.3016, 0.3185, 0.3431, 0.3452, 0.345, 0.3902, 0.3637, 0.361, 0.3879, 0.3984, 0.3591, 0.3023, 0.3125, 0.363, 0.3774, 0.3639, 0.3808, 0.3488, 0.361, 0.3662, 0.371, 0.4231, 0.4156, 0.4355, 0.4282, 0.4444, 0.473, 0.409, 0.4101, 0.3838, 0.3283, 0.3717, 0.3559, 0.3113, 0.312, 0.3719, 0.3706, 0.3495, 0.3486, 0.369, 0.3648, 0.3616, 0.336, 0.2898, 0.3438, 0.3738, 0.3852, 0.3328, 0.3107, 0.2713, 0.2796, 0.3578, 0.3273, 0.3273, 0.3273, 0.2734, 0.3863, 0.4117, 0.452, 0.4403, 0.4682]}
{"unit_id": "orig:1978580846518157314", "ticker_idx": 0, "ts": "2025-10-15T21:56:48+00:00", "symbol": "ASML.AS", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$ASML is solving one of the slowest and most capital intensive processes in making semiconductor chips - packaging. The new XT:260 is 4x more productive than the previous generation.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish ASML: new XT:260 packaging tool 4x more productive, enabling higher throughput and orders — a missed earnings catalyst.", "resolved_tickers": ["ASML.AS"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SMH", "bench_c_reason": "industry='Semiconductor Equipment & Materials'", "bench_c_industry": "Semiconductor Equipment & Materials", "unit_kind": "original", "lang": "en", "tweet_text": "A lot of folks are missing this in the earnings. \n\n$ASML is solving one of the slowest and most capital intensive processes in making semiconductor chips - packaging. \n\n$TSMC $INTC\n\nThe new XT:260 is 4x more productive than the previous generation. \n\nIt doesn't mean TSMC will suddenly package chips 4x quicker (how I wish) but the process should be much quicker allowing for more orders/month.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.005014915578163248, "ret_signed_m1d": -0.005014915578163248, "alpha_spy_m1d": -0.01187193366304784, "alpha_c_m1d": -0.0005873776332838698, "bench_spy_m1d": 0.006857018084884592, "bench_c_m1d": -0.004427537944879378, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.001937528568143665, "ret_signed_p1d": -0.001937528568143665, "alpha_spy_p1d": -0.007613921096611631, "alpha_c_p1d": -0.0005684801900776026, "bench_spy_p1d": 0.005676392528467966, "bench_c_p1d": -0.0013690483780660623, "ret_p1w": 0.011739164246475253, "ret_signed_p1w": 0.011739164246475253, "alpha_spy_p1w": -0.005093087157275855, "alpha_c_p1w": 0.0073697660490392725, "bench_spy_p1w": 0.01683225140375111, "bench_c_p1w": 0.004369398197435981, "ret_p1m": -0.0020027772291824064, "ret_signed_p1m": -0.0020027772291824064, "alpha_spy_p1m": -0.01909231818531021, "alpha_c_p1m": -0.006896592381702593, "bench_spy_p1m": 0.017089540956127802, "bench_c_p1m": 0.004893815152520187, "ret_p3m": 0.3123189751778148, "ret_signed_p3m": 0.3123189751778148, "alpha_spy_p3m": 0.2613902688831542, "alpha_c_p3m": 0.15402156379656695, "bench_spy_p3m": 0.05092870629466062, "bench_c_p3m": 0.15829741138124787, "ret_p6m": 0.4681936205412016, "ret_signed_p6m": 0.4681936205412016, "alpha_spy_p6m": 0.41101525600289346, "alpha_c_p6m": 0.1474640095130546, "bench_spy_p6m": 0.05717836453830816, "bench_c_p6m": 0.320729611028147, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.0020027772291824064, "alpha_spy_stated": -0.01909231818531021, "alpha_c_stated": -0.006896592381702593, "price_path": [-0.2906, -0.3152, -0.3105, -0.2999, -0.3124, -0.2839, -0.2899, -0.2848, -0.3012, -0.3219, -0.3134, -0.3195, -0.3243, -0.304, -0.2969, -0.2854, -0.2775, -0.2699, -0.2673, -0.2743, -0.2721, -0.268, -0.2726, -0.2768, -0.2635, -0.2629, -0.2585, -0.2475, -0.2543, -0.2744, -0.275, -0.2966, -0.2873, -0.2619, -0.2475, -0.2289, -0.2213, -0.2248, -0.2181, -0.2138, -0.1687, -0.1647, -0.16, -0.0951, -0.0954, -0.0759, -0.0656, -0.0791, -0.0749, -0.0736, -0.0592, -0.0562, -0.041, 0.0002, 0.0031, 0.0227, -0.003, -0.0292, -0.0315, -0.0724, -0.0381, -0.0351, -0.005, 0.0, -0.0019, 0.0246, 0.0141, -0.0083, 0.0117, 0.0194, 0.035, 0.036, 0.0497, 0.0704, 0.0482, 0.0578, 0.0481, 0.0351, 0.0222, -0.0058, 0.0124, 0.0126, 0.0182, 0.0064, -0.002, 0.0006, -0.0117, 0.0123, 0.0159, -0.0478, -0.0195, -0.0178, 0.0382, 0.0244, 0.0315, 0.0581, 0.0722, 0.1, 0.093, 0.0865, 0.0997, 0.088, 0.0801, 0.0743, 0.0565, 0.063, 0.0374, -0.0021, 0.0192, 0.0294, 0.023, 0.0312, 0.0264, 0.0264, 0.0353, 0.0486, 0.052, 0.1261, 0.2025, 0.2114, 0.2009, 0.1566, 0.2349, 0.2404, 0.2589, 0.2379, 0.3123, 0.3326, 0.2792, 0.3016, 0.3185, 0.3431, 0.3452, 0.345, 0.3902, 0.3637, 0.361, 0.3879, 0.3984, 0.3591, 0.3023, 0.3125, 0.363, 0.3774, 0.3639, 0.3808, 0.3488, 0.361, 0.3662, 0.371, 0.4231, 0.4156, 0.4355, 0.4282, 0.4444, 0.473, 0.409, 0.4101, 0.3838, 0.3283, 0.3717, 0.3559, 0.3113, 0.312, 0.3719, 0.3706, 0.3495, 0.3486, 0.369, 0.3648, 0.3616, 0.336, 0.2898, 0.3438, 0.3738, 0.3852, 0.3328, 0.3107, 0.2713, 0.2796, 0.3578, 0.3273, 0.3273, 0.3273, 0.2734, 0.3863, 0.4117, 0.452, 0.4403, 0.4682]}
{"unit_id": "thread:1978914689850707987", "ticker_idx": 0, "ts": "2025-10-16T20:03:23+00:00", "symbol": "GOOG", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$GOOG will remain stable. That's because they have their own models, distribution and hardware. And this is Google's moat.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish GOOG on owned models/distribution/hardware moat; bearish ORCL/AVGO/NVDA/AMD as OpenAI-dependent market cap at risk if ChatGPT growth slows.", "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": "This is very interesting. \n\nThe growth rate of consumers spending for ChatGPT in Europe is slowing down, per DB.\nIf the numbers from DB about OpenAI's growth rate are correct, it's doesn't just affect them, it affects the entire market. \n\nIt's a little scary how a lot of the market depends on OpenAI's success to remain stable.\n\nHypothetically, if this trend follows worldwide, all of OpenAI's investments will render meaningless. That includes the billions of dollars in market cap that pumped into $ORCL $AVGO $NVDA and $AMD.\n\nBut $GOOG will remain stable.\n\nThat's because they have their own models, distribution and hardware.\n\nAnd this is Google's moat.\n\nFor example:\n\nThey've changed the pricing model of Gemini in their products like Google workspace - earlier they used to offer it as an add-on, but now included it in every plan and raised the prices. \n\nThis happened at the beginning of the year, and there hasn't been any significant drop in subscribers, publicly at least. \n\nThat's Google's moat in distribution. \n\nAnd that's why I think Google will come out in the AI arms race - purely because they're single handedly competing with 5+companies and still succeeding.\n\n---\n\nThanks @RihardJarc for the charts.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.0075258534040528735, "ret_signed_m1d": -0.0075258534040528735, "alpha_spy_m1d": -0.0018815004385861478, "alpha_c_m1d": -0.0008266763271606026, "bench_spy_m1d": -0.005644352965466726, "bench_c_m1d": -0.006699177076892271, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.01272704654772383, "ret_signed_p1d": 0.01272704654772383, "alpha_spy_p1d": 0.002326546284800557, "alpha_c_p1d": 0.0014168771942419944, "bench_spy_p1d": 0.010400500262923273, "bench_c_p1d": 0.011310169353481836, "ret_p1w": 0.026478620734109226, "ret_signed_p1w": 0.026478620734109226, "alpha_spy_p1w": 0.007122517508845405, "alpha_c_p1w": 0.021171522205168714, "bench_spy_p1w": 0.01935610322526382, "bench_c_p1w": 0.005307098528940513, "ret_p1m": 0.12533990528224814, "ret_signed_p1m": 0.12533990528224814, "alpha_spy_p1m": 0.12341334467228449, "alpha_c_p1m": 0.15805267950511148, "bench_spy_p1m": 0.0019265606099636567, "bench_c_p1m": -0.03271277422286334, "ret_p3m": 0.3024766195106039, "ret_signed_p3m": 0.3024766195106039, "alpha_spy_p3m": 0.2583553340957301, "alpha_c_p3m": 0.2972317438921255, "bench_spy_p3m": 0.04412128541487381, "bench_c_p3m": 0.005244875618478417, "ret_p6m": 0.31968955131809973, "ret_signed_p6m": 0.31968955131809973, "alpha_spy_p6m": 0.26018319878112806, "alpha_c_p6m": 0.292060703678364, "bench_spy_p6m": 0.059506352536971674, "bench_c_p6m": 0.02762884763973572, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.12533990528224814, "alpha_spy_stated": 0.12341334467228449, "alpha_c_stated": 0.15805267950511148, "price_path": [-0.2437, -0.2461, -0.2394, -0.236, -0.2386, -0.2267, -0.2227, -0.2408, -0.2522, -0.2294, -0.2311, -0.2248, -0.2234, -0.2044, -0.2062, -0.1963, -0.2007, -0.1976, -0.1933, -0.1958, -0.2028, -0.2119, -0.2102, -0.1862, -0.1766, -0.1814, -0.1803, -0.164, -0.1594, -0.1594, -0.1654, -0.0902, -0.0841, -0.0742, -0.0773, -0.0546, -0.0561, -0.0513, -0.0489, -0.008, -0.0093, -0.0155, -0.0058, 0.0057, -0.0036, -0.0057, -0.0235, -0.0284, -0.026, -0.0372, -0.0403, -0.0325, -0.029, -0.0289, -0.009, -0.0262, -0.0328, -0.0456, -0.0642, -0.0361, -0.0299, -0.0082, -0.0075, 0.0, 0.0127, -0.0097, -0.005, -0.0002, 0.0265, 0.0636, 0.0577, 0.0842, 0.1108, 0.1104, 0.1195, 0.0956, 0.122, 0.1243, 0.1021, 0.145, 0.1495, 0.1326, 0.0998, 0.0914, 0.1253, 0.1228, 0.1545, 0.1426, 0.1807, 0.2549, 0.2752, 0.262, 0.262, 0.2614, 0.2417, 0.2452, 0.2633, 0.2545, 0.2691, 0.2398, 0.2528, 0.2657, 0.2369, 0.2243, 0.2196, 0.2133, 0.1752, 0.1976, 0.2168, 0.2275, 0.2447, 0.2446, 0.2418, 0.2396, 0.2402, 0.2373, 0.2433, 0.2511, 0.2402, 0.2713, 0.2854, 0.2977, 0.3119, 0.3265, 0.326, 0.3136, 0.3025, 0.3025, 0.2702, 0.2947, 0.3044, 0.2949, 0.3153, 0.3209, 0.3259, 0.3353, 0.3348, 0.3599, 0.3433, 0.3143, 0.3064, 0.2739, 0.2791, 0.2563, 0.2275, 0.2198, 0.2066, 0.2066, 0.194, 0.1984, 0.1969, 0.2416, 0.2289, 0.2259, 0.2342, 0.211, 0.2279, 0.2079, 0.1969, 0.1965, 0.1864, 0.1761, 0.2074, 0.211, 0.2169, 0.1963, 0.1894, 0.2011, 0.2208, 0.2085, 0.2063, 0.1789, 0.1798, 0.1411, 0.1426, 0.1077, 0.0802, 0.0777, 0.1318, 0.1636, 0.1618, 0.1618, 0.1745, 0.1992, 0.2418, 0.2483, 0.2457, 0.2595, 0.3043, 0.3197]}
{"unit_id": "thread:1978914689850707987", "ticker_idx": 1, "ts": "2025-10-16T20:03:23+00:00", "symbol": "ORCL", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "all of OpenAI's investments will render meaningless. That includes the billions of dollars in market cap that pumped into $ORCL $AVGO $NVDA and $AMD", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish GOOG on owned models/distribution/hardware moat; bearish ORCL/AVGO/NVDA/AMD as OpenAI-dependent market cap at risk if ChatGPT growth slows.", "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": "self_thread", "lang": "en", "tweet_text": "This is very interesting. \n\nThe growth rate of consumers spending for ChatGPT in Europe is slowing down, per DB.\nIf the numbers from DB about OpenAI's growth rate are correct, it's doesn't just affect them, it affects the entire market. \n\nIt's a little scary how a lot of the market depends on OpenAI's success to remain stable.\n\nHypothetically, if this trend follows worldwide, all of OpenAI's investments will render meaningless. That includes the billions of dollars in market cap that pumped into $ORCL $AVGO $NVDA and $AMD.\n\nBut $GOOG will remain stable.\n\nThat's because they have their own models, distribution and hardware.\n\nAnd this is Google's moat.\n\nFor example:\n\nThey've changed the pricing model of Gemini in their products like Google workspace - earlier they used to offer it as an add-on, but now included it in every plan and raised the prices. \n\nThis happened at the beginning of the year, and there hasn't been any significant drop in subscribers, publicly at least. \n\nThat's Google's moat in distribution. \n\nAnd that's why I think Google will come out in the AI arms race - purely because they're single handedly competing with 5+companies and still succeeding.\n\n---\n\nThanks @RihardJarc for the charts.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.07445677104150539, "ret_signed_m1d": -0.07445677104150539, "alpha_spy_m1d": -0.08010112400697211, "alpha_c_m1d": -0.08010112400697211, "bench_spy_m1d": -0.005644352965466726, "bench_c_m1d": -0.005644352965466726, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.04850503997746891, "ret_signed_p1d": 0.04850503997746891, "alpha_spy_p1d": 0.058905540240392185, "alpha_c_p1d": 0.058905540240392185, "bench_spy_p1d": 0.010400500262923273, "bench_c_p1d": 0.010400500262923273, "ret_p1w": -0.0273935466027162, "ret_signed_p1w": 0.0273935466027162, "alpha_spy_p1w": 0.04674964982798002, "alpha_c_p1w": 0.04674964982798002, "bench_spy_p1w": 0.01935610322526382, "bench_c_p1w": 0.01935610322526382, "ret_p1m": -0.24527133199765916, "ret_signed_p1m": 0.24527133199765916, "alpha_spy_p1m": 0.24719789260762282, "alpha_c_p1m": 0.24719789260762282, "bench_spy_p1m": 0.0019265606099636567, "bench_c_p1m": 0.0019265606099636567, "ret_p3m": -0.34229811841965463, "ret_signed_p3m": 0.34229811841965463, "alpha_spy_p3m": 0.38641940383452844, "alpha_c_p3m": 0.38641940383452844, "bench_spy_p3m": 0.04412128541487381, "bench_c_p3m": 0.04412128541487381, "ret_p6m": -0.4134992891582723, "ret_signed_p6m": 0.4134992891582723, "alpha_spy_p6m": 0.47300564169524395, "alpha_c_p6m": 0.47300564169524395, "bench_spy_p6m": 0.059506352536971674, "bench_c_p6m": 0.059506352536971674, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.24527133199765916, "alpha_spy_stated": 0.24719789260762282, "alpha_c_stated": 0.24719789260762282, "price_path": [-0.184, -0.1711, -0.1679, -0.16, -0.1511, -0.1434, -0.1412, -0.1304, -0.1624, -0.1346, -0.1239, -0.1213, -0.1454, -0.1431, -0.1341, -0.1301, -0.1632, -0.1606, -0.1492, -0.1465, -0.196, -0.1945, -0.201, -0.19, -0.1933, -0.1974, -0.1919, -0.1765, -0.2251, -0.2251, -0.2279, -0.2343, -0.2358, -0.2022, -0.1828, -0.1724, 0.1251, 0.055, 0.0012, 0.0354, 0.0508, 0.0329, 0.0165, 0.0577, 0.1245, 0.0754, 0.057, -0.0017, -0.0286, -0.031, -0.0362, -0.0096, -0.0104, -0.0194, -0.0008, -0.026, -0.0109, 0.0194, 0.0057, 0.0573, 0.0264, 0.0423, 0.0745, 0.0, -0.0485, -0.0555, -0.064, -0.0386, -0.0274, -0.034, -0.036, -0.055, -0.1182, -0.0985, -0.1149, -0.1481, -0.1407, -0.1631, -0.1787, -0.1733, -0.1894, -0.2208, -0.2531, -0.235, -0.2453, -0.2431, -0.2258, -0.2767, -0.3177, -0.3125, -0.3236, -0.2964, -0.2964, -0.3068, -0.3102, -0.3097, -0.2869, -0.2643, -0.2531, -0.2429, -0.2395, -0.2345, -0.3174, -0.3479, -0.3652, -0.3524, -0.3874, -0.382, -0.341, -0.319, -0.3294, -0.3221, -0.3203, -0.3293, -0.323, -0.3309, -0.3282, -0.3389, -0.3349, -0.338, -0.349, -0.3167, -0.2955, -0.3037, -0.3336, -0.3466, -0.3423, -0.3423, -0.3807, -0.4015, -0.3867, -0.3902, -0.3721, -0.398, -0.4052, -0.4183, -0.4335, -0.4491, -0.4677, -0.4952, -0.5303, -0.5084, -0.461, -0.4497, -0.4591, -0.4614, -0.4488, -0.4488, -0.4701, -0.4625, -0.4612, -0.4903, -0.5136, -0.497, -0.491, -0.4827, -0.4996, -0.4863, -0.4871, -0.4756, -0.4672, -0.4735, -0.4784, -0.4858, -0.4386, -0.4522, -0.4661, -0.4632, -0.4676, -0.4737, -0.4647, -0.4848, -0.4688, -0.4937, -0.4974, -0.5085, -0.5193, -0.5223, -0.4937, -0.5001, -0.4962, -0.4962, -0.4991, -0.5072, -0.5055, -0.5239, -0.5231, -0.4625, -0.437, -0.4135]}
{"unit_id": "thread:1978914689850707987", "ticker_idx": 2, "ts": "2025-10-16T20:03:23+00:00", "symbol": "AVGO", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "all of OpenAI's investments will render meaningless. That includes the billions of dollars in market cap that pumped into $ORCL $AVGO $NVDA and $AMD", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish GOOG on owned models/distribution/hardware moat; bearish ORCL/AVGO/NVDA/AMD as OpenAI-dependent market cap at risk if ChatGPT growth slows.", "resolved_tickers": ["AVGO"], "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": "This is very interesting. \n\nThe growth rate of consumers spending for ChatGPT in Europe is slowing down, per DB.\nIf the numbers from DB about OpenAI's growth rate are correct, it's doesn't just affect them, it affects the entire market. \n\nIt's a little scary how a lot of the market depends on OpenAI's success to remain stable.\n\nHypothetically, if this trend follows worldwide, all of OpenAI's investments will render meaningless. That includes the billions of dollars in market cap that pumped into $ORCL $AVGO $NVDA and $AMD.\n\nBut $GOOG will remain stable.\n\nThat's because they have their own models, distribution and hardware.\n\nAnd this is Google's moat.\n\nFor example:\n\nThey've changed the pricing model of Gemini in their products like Google workspace - earlier they used to offer it as an add-on, but now included it in every plan and raised the prices. \n\nThis happened at the beginning of the year, and there hasn't been any significant drop in subscribers, publicly at least. \n\nThat's Google's moat in distribution. \n\nAnd that's why I think Google will come out in the AI arms race - purely because they're single handedly competing with 5+companies and still succeeding.\n\n---\n\nThanks @RihardJarc for the charts.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.013797880059066792, "ret_signed_m1d": -0.013797880059066792, "alpha_spy_m1d": -0.019442233024533517, "alpha_c_m1d": -0.01242695481802314, "bench_spy_m1d": -0.005644352965466726, "bench_c_m1d": 0.0013709252410436523, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.00025775158913865504, "ret_signed_p1d": 0.00025775158913865504, "alpha_spy_p1d": 0.010658251852061928, "alpha_c_p1d": 0.013062995197365979, "bench_spy_p1d": 0.010400500262923273, "bench_c_p1d": 0.012805243608227324, "ret_p1w": 0.013740689778040993, "ret_signed_p1w": -0.013740689778040993, "alpha_spy_p1w": 0.005615413447222828, "alpha_c_p1w": 0.010498872197370002, "bench_spy_p1w": 0.01935610322526382, "bench_c_p1w": 0.024239561975410995, "ret_p1m": -0.019122374287460442, "ret_signed_p1m": 0.019122374287460442, "alpha_spy_p1m": 0.0210489348974241, "alpha_c_p1m": 0.011742612190717261, "bench_spy_p1m": 0.0019265606099636567, "bench_c_p1m": -0.007379762096743181, "ret_p3m": 0.008739483159746264, "ret_signed_p3m": -0.008739483159746264, "alpha_spy_p3m": 0.03538180225512755, "alpha_c_p3m": 0.16279127590940679, "bench_spy_p3m": 0.04412128541487381, "bench_c_p3m": 0.17153075906915305, "ret_p6m": 0.140219499988272, "ret_signed_p6m": -0.140219499988272, "alpha_spy_p6m": -0.08071314745130032, "alpha_c_p6m": 0.18524670656613118, "bench_spy_p6m": 0.059506352536971674, "bench_c_p6m": 0.32546620655440317, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.019122374287460442, "alpha_spy_stated": 0.0210489348974241, "alpha_c_stated": 0.011742612190717261, "price_path": [-0.2039, -0.1893, -0.1749, -0.1707, -0.159, -0.1501, -0.1352, -0.1607, -0.1751, -0.1492, -0.1629, -0.1379, -0.1319, -0.1285, -0.1315, -0.106, -0.1167, -0.1106, -0.1246, -0.1262, -0.1572, -0.1679, -0.1724, -0.1598, -0.1592, -0.1484, -0.142, -0.118, -0.1501, -0.1501, -0.1477, -0.1359, -0.1252, -0.043, -0.0122, -0.0379, 0.0561, 0.0277, 0.0284, 0.0405, 0.0288, -0.0107, -0.0131, -0.0143, -0.0302, -0.0297, -0.0287, -0.0379, -0.0424, -0.0613, -0.0556, -0.0456, -0.0319, -0.0314, -0.0396, -0.037, -0.011, -0.0123, -0.0707, 0.0211, -0.0149, 0.0057, 0.0138, 0.0, -0.0003, -0.0191, -0.0258, -0.0144, 0.0137, 0.0364, 0.0677, 0.1049, 0.0777, 0.0581, 0.0378, 0.0075, 0.0276, 0.0179, 0.0003, 0.0259, 0.0075, 0.0169, -0.0268, -0.0197, -0.0191, -0.0253, 0.0146, -0.0072, -0.0261, 0.082, 0.1022, 0.1381, 0.1381, 0.1535, 0.1052, 0.0923, 0.0895, 0.0907, 0.1171, 0.1482, 0.1631, 0.1822, 0.1633, 0.0303, -0.0273, -0.023, -0.0667, -0.0557, -0.0257, -0.0207, 0.0019, 0.0045, 0.0099, 0.0021, 0.0034, -0.0074, -0.003, -0.015, -0.014, -0.0148, -0.0464, -0.0106, 0.0102, 0.0171, -0.0252, -0.0162, 0.0087, 0.0087, -0.0461, -0.057, -0.0665, -0.0821, -0.0683, -0.0455, -0.0442, -0.0514, -0.0498, -0.0503, -0.0813, -0.1165, -0.1094, -0.0452, -0.0135, -0.0236, -0.0169, -0.0502, -0.0674, -0.0674, -0.0462, -0.0435, -0.0421, -0.0459, -0.0526, -0.0665, -0.0469, -0.0773, -0.0835, -0.0856, -0.0999, -0.0893, -0.0456, -0.0522, -0.0084, -0.0174, -0.0203, -0.0364, -0.076, -0.0681, -0.0785, -0.0939, -0.0827, -0.1094, -0.0731, -0.0852, -0.0837, -0.1107, -0.1358, -0.1567, -0.1104, -0.099, -0.0959, -0.0959, -0.0963, -0.0401, 0.0078, 0.0201, 0.0679, 0.0914, 0.0944, 0.1402]}
{"unit_id": "thread:1978914689850707987", "ticker_idx": 3, "ts": "2025-10-16T20:03:23+00:00", "symbol": "NVDA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "all of OpenAI's investments will render meaningless. That includes the billions of dollars in market cap that pumped into $ORCL $AVGO $NVDA and $AMD", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish GOOG on owned models/distribution/hardware moat; bearish ORCL/AVGO/NVDA/AMD as OpenAI-dependent market cap at risk if ChatGPT growth slows.", "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": "This is very interesting. \n\nThe growth rate of consumers spending for ChatGPT in Europe is slowing down, per DB.\nIf the numbers from DB about OpenAI's growth rate are correct, it's doesn't just affect them, it affects the entire market. \n\nIt's a little scary how a lot of the market depends on OpenAI's success to remain stable.\n\nHypothetically, if this trend follows worldwide, all of OpenAI's investments will render meaningless. That includes the billions of dollars in market cap that pumped into $ORCL $AVGO $NVDA and $AMD.\n\nBut $GOOG will remain stable.\n\nThat's because they have their own models, distribution and hardware.\n\nAnd this is Google's moat.\n\nFor example:\n\nThey've changed the pricing model of Gemini in their products like Google workspace - earlier they used to offer it as an add-on, but now included it in every plan and raised the prices. \n\nThis happened at the beginning of the year, and there hasn't been any significant drop in subscribers, publicly at least. \n\nThat's Google's moat in distribution. \n\nAnd that's why I think Google will come out in the AI arms race - purely because they're single handedly competing with 5+companies and still succeeding.\n\n---\n\nThanks @RihardJarc for the charts.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.007695662434196837, "ret_signed_m1d": 0.007695662434196837, "alpha_spy_m1d": 0.0020513094687301114, "alpha_c_m1d": 0.00906658767524049, "bench_spy_m1d": -0.005644352965466726, "bench_c_m1d": 0.0013709252410436523, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.003165554972769824, "ret_signed_p1d": 0.003165554972769824, "alpha_spy_p1d": 0.013566055235693097, "alpha_c_p1d": 0.015970798580997148, "bench_spy_p1d": 0.010400500262923273, "bench_c_p1d": 0.012805243608227324, "ret_p1w": 0.016592020986957445, "ret_signed_p1w": -0.016592020986957445, "alpha_spy_p1w": 0.0027640822383063757, "alpha_c_p1w": 0.0076475409884535495, "bench_spy_p1w": 0.01935610322526382, "bench_c_p1w": 0.024239561975410995, "ret_p1m": 0.018447892423498313, "ret_signed_p1m": -0.018447892423498313, "alpha_spy_p1m": -0.016521331813534657, "alpha_c_p1m": -0.025827654520241494, "bench_spy_p1m": 0.0019265606099636567, "bench_c_p1m": -0.007379762096743181, "ret_p3m": 0.01648495148100304, "ret_signed_p3m": -0.01648495148100304, "alpha_spy_p3m": 0.02763633393387077, "alpha_c_p3m": 0.15504580758815, "bench_spy_p3m": 0.04412128541487381, "bench_c_p3m": 0.17153075906915305, "ret_p6m": 0.08553569358775404, "ret_signed_p6m": -0.08553569358775404, "alpha_spy_p6m": -0.026029341050782362, "alpha_c_p6m": 0.23993051296664913, "bench_spy_p6m": 0.059506352536971674, "bench_c_p6m": 0.32546620655440317, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.018447892423498313, "alpha_spy_stated": -0.016521331813534657, "alpha_c_stated": -0.025827654520241494, "price_path": [-0.0884, -0.0679, -0.0518, -0.0531, -0.0354, -0.0421, -0.0216, -0.0293, -0.0519, -0.0176, -0.0271, -0.0208, -0.0134, -0.0029, -0.0064, -0.0004, -0.009, -0.0066, -0.0152, -0.0067, -0.0414, -0.0427, -0.045, -0.0286, -0.0187, -0.008, -0.0089, -0.0167, -0.0494, -0.0494, -0.0679, -0.0688, -0.0631, -0.0885, -0.0814, -0.0681, -0.0322, -0.033, -0.0295, -0.0299, -0.0455, -0.0706, -0.0381, -0.0357, 0.0021, -0.0261, -0.0341, -0.0302, -0.0275, -0.0075, 0.0183, 0.0219, 0.0309, 0.024, 0.0127, 0.0099, 0.0321, 0.051, -0.0003, 0.0278, -0.0174, -0.0185, -0.0077, 0.0, -0.0032, -0.0112, -0.016, -0.0058, 0.0166, 0.0451, 0.0972, 0.13, 0.1074, 0.1052, 0.1291, 0.0844, 0.0654, 0.0265, 0.0269, 0.0864, 0.0543, 0.0577, 0.0199, 0.0379, 0.0184, -0.0102, 0.018, -0.0141, -0.0237, -0.0037, -0.0295, -0.0162, -0.0162, -0.0339, -0.018, -0.0096, -0.0198, 0.0009, -0.0044, 0.0128, 0.0096, 0.0031, -0.0124, -0.0447, -0.0378, -0.03, -0.067, -0.0495, -0.0121, 0.0026, 0.0328, 0.0295, 0.04, 0.0273, 0.0236, 0.018, 0.0308, 0.0268, 0.022, 0.0322, 0.01, 0.009, 0.0094, 0.0142, -0.0004, 0.021, 0.0165, 0.0165, -0.0281, 0.0006, 0.0089, 0.0243, 0.0178, 0.029, 0.0454, 0.0508, 0.0432, 0.0131, -0.0157, -0.0492, -0.0618, 0.012, 0.0373, 0.0291, 0.0373, 0.0204, -0.0022, -0.0022, 0.0096, 0.026, 0.0256, 0.0361, 0.0455, 0.0526, 0.0674, 0.0092, -0.0329, -0.004, -0.0172, -0.0009, 0.0007, -0.0294, -0.0031, 0.0085, 0.0154, -0.0003, -0.0161, 0.0001, -0.0069, -0.0153, -0.0253, -0.0573, -0.0413, -0.0437, -0.0247, -0.0653, -0.0856, -0.0984, -0.048, -0.0407, -0.0317, -0.0317, -0.0303, -0.0278, -0.0061, 0.0039, 0.0296, 0.0334, 0.0727, 0.0855]}
{"unit_id": "thread:1978914689850707987", "ticker_idx": 4, "ts": "2025-10-16T20:03:23+00:00", "symbol": "AMD", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "all of OpenAI's investments will render meaningless. That includes the billions of dollars in market cap that pumped into $ORCL $AVGO $NVDA and $AMD", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish GOOG on owned models/distribution/hardware moat; bearish ORCL/AVGO/NVDA/AMD as OpenAI-dependent market cap at risk if ChatGPT growth slows.", "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": "self_thread", "lang": "en", "tweet_text": "This is very interesting. \n\nThe growth rate of consumers spending for ChatGPT in Europe is slowing down, per DB.\nIf the numbers from DB about OpenAI's growth rate are correct, it's doesn't just affect them, it affects the entire market. \n\nIt's a little scary how a lot of the market depends on OpenAI's success to remain stable.\n\nHypothetically, if this trend follows worldwide, all of OpenAI's investments will render meaningless. That includes the billions of dollars in market cap that pumped into $ORCL $AVGO $NVDA and $AMD.\n\nBut $GOOG will remain stable.\n\nThat's because they have their own models, distribution and hardware.\n\nAnd this is Google's moat.\n\nFor example:\n\nThey've changed the pricing model of Gemini in their products like Google workspace - earlier they used to offer it as an add-on, but now included it in every plan and raised the prices. \n\nThis happened at the beginning of the year, and there hasn't been any significant drop in subscribers, publicly at least. \n\nThat's Google's moat in distribution. \n\nAnd that's why I think Google will come out in the AI arms race - purely because they're single handedly competing with 5+companies and still succeeding.\n\n---\n\nThanks @RihardJarc for the charts.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.0063497327780690505, "ret_signed_m1d": -0.0063497327780690505, "alpha_spy_m1d": -0.011994085743535776, "alpha_c_m1d": -0.004978807537025398, "bench_spy_m1d": -0.005644352965466726, "bench_c_m1d": 0.0013709252410436523, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.032091967001788735, "ret_signed_p1d": -0.032091967001788735, "alpha_spy_p1d": -0.02169146673886546, "alpha_c_p1d": -0.01928672339356141, "bench_spy_p1d": 0.010400500262923273, "bench_c_p1d": 0.012805243608227324, "ret_p1w": 0.08512097212128666, "ret_signed_p1w": -0.08512097212128666, "alpha_spy_p1w": -0.06576486889602284, "alpha_c_p1w": -0.06088141014587567, "bench_spy_p1w": 0.01935610322526382, "bench_c_p1w": 0.024239561975410995, "ret_p1m": 0.03192038091195415, "ret_signed_p1m": -0.03192038091195415, "alpha_spy_p1m": -0.029993820301990493, "alpha_c_p1m": -0.03930014300869733, "bench_spy_p1m": 0.0019265606099636567, "bench_c_p1m": -0.007379762096743181, "ret_p3m": -0.00536296546327486, "ret_signed_p3m": 0.00536296546327486, "alpha_spy_p3m": 0.04948425087814867, "alpha_c_p3m": 0.1768937245324279, "bench_spy_p3m": 0.04412128541487381, "bench_c_p3m": 0.17153075906915305, "ret_p6m": 0.1074308953553329, "ret_signed_p6m": -0.1074308953553329, "alpha_spy_p6m": -0.04792454281836123, "alpha_c_p6m": 0.21803531119907027, "bench_spy_p6m": 0.059506352536971674, "bench_c_p6m": 0.32546620655440317, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.03192038091195415, "alpha_spy_stated": -0.029993820301990493, "alpha_c_stated": -0.03930014300869733, "price_path": [-0.3362, -0.3193, -0.3044, -0.2858, -0.2549, -0.2387, -0.2298, -0.2436, -0.2633, -0.2415, -0.2521, -0.3002, -0.2603, -0.2588, -0.2609, -0.2494, -0.2088, -0.2237, -0.2384, -0.2443, -0.2854, -0.2912, -0.2976, -0.2802, -0.2991, -0.2851, -0.283, -0.2767, -0.3023, -0.3023, -0.3036, -0.3044, -0.3059, -0.3516, -0.3504, -0.3315, -0.3155, -0.3321, -0.3197, -0.3086, -0.3116, -0.3171, -0.3225, -0.3247, -0.3144, -0.3097, -0.3098, -0.3081, -0.3159, -0.3077, -0.3059, -0.2963, -0.2718, -0.2935, -0.126, -0.0925, 0.0106, -0.0008, -0.078, -0.0715, -0.0643, 0.0237, 0.0063, 0.0, 0.0321, 0.0212, -0.0122, 0.0082, 0.0851, 0.1141, 0.107, 0.1341, 0.0934, 0.0989, 0.114, 0.0728, 0.0998, 0.0198, 0.002, 0.0468, 0.019, 0.1107, 0.0638, 0.0589, 0.0319, -0.012, -0.0409, -0.1161, -0.1257, -0.0774, -0.1156, -0.0808, -0.0808, -0.0667, -0.0571, -0.0765, -0.0664, -0.0734, -0.0648, -0.0514, -0.0492, -0.05, -0.05, -0.0957, -0.1094, -0.1026, -0.15, -0.1374, -0.0843, -0.0778, -0.078, -0.0774, -0.0776, -0.075, -0.0761, -0.0812, -0.0412, -0.0515, -0.0804, -0.0989, -0.1218, -0.1283, -0.1089, -0.052, -0.0407, -0.0221, -0.0054, -0.0054, -0.005, 0.0717, 0.0886, 0.1141, 0.0782, 0.0813, 0.0843, 0.0819, 0.0157, 0.0566, 0.0387, -0.1411, -0.1741, -0.1057, -0.0733, -0.0837, -0.0837, -0.1164, -0.1105, -0.1105, -0.1287, -0.1414, -0.1275, -0.1413, -0.1565, -0.0825, -0.0953, -0.1261, -0.141, -0.1478, -0.1808, -0.133, -0.1443, -0.1744, -0.1304, -0.1281, -0.1212, -0.1516, -0.1703, -0.1566, -0.1578, -0.1442, -0.1193, -0.1362, -0.1304, -0.1189, -0.055, -0.1258, -0.1334, -0.1589, -0.1272, -0.0981, -0.0668, -0.0668, -0.0553, -0.0496, -0.0054, 0.0153, 0.0513, 0.059, 0.0943, 0.1074]}
{"unit_id": "orig:1978934827572433025", "ticker_idx": 0, "ts": "2025-10-16T21:23:24+00:00", "symbol": "ASML.AS", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Here's why I think ASML's earnings were very conservative (as always)", "tweet_type": "analysis", "timeline": "quarters", "summary": "Bullish ASML: earnings guidance is overly conservative; China competition threat is overstated and won't impact sales until at least 2027.", "resolved_tickers": ["ASML.AS"], "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": "original", "lang": "en", "tweet_text": "Here's why I think ASML's earnings were very conservative (as always)\n\n1/ China's threats\n\nChina is still 2 decades behind ASML. \n\nASML isn't allowed to sell EUV machines to China, and still sells DUV machines which are based on an older technology. \n\nThe reports of China being building competitors to ASML are all based on the machines that ASML created in 2007: the NXT:1950i.\n\nIt could theoretically be used to create 7nm or even 5nm chips - but the caveat is that the yield would be extremely low. \n\nTo achieve this through multi patterning, ASML had developed the NXT:2000i which was generations ahead of the previous model.\n\nComing back, this is where China is at. Speculation is that they're testing this currently, and will start volume production in 2027 (per FT)\n\nMeaning, even if China started in H2 of 2026, the effects of the sales shouldn't be felt until at least 2027.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.0019412898727311223, "ret_signed_m1d": 0.0019412898727311223, "alpha_spy_m1d": 0.007585642838197848, "alpha_c_m1d": 0.00057036463168747, "bench_spy_m1d": -0.005644352965466726, "bench_c_m1d": 0.0013709252410436523, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.026607127704501243, "ret_signed_p1d": 0.026607127704501243, "alpha_spy_p1d": 0.01620662744157797, "alpha_c_p1d": 0.01380188409627392, "bench_spy_p1d": 0.010400500262923273, "bench_c_p1d": 0.012805243608227324, "ret_p1w": 0.021354328740080142, "ret_signed_p1w": 0.021354328740080142, "alpha_spy_p1w": 0.001998225514816321, "alpha_c_p1w": -0.002885233235330853, "bench_spy_p1w": 0.01935610322526382, "bench_c_p1w": 0.024239561975410995, "ret_p1m": 0.002565753880880539, "ret_signed_p1m": 0.002565753880880539, "alpha_spy_p1m": 0.0006391932709168824, "alpha_c_p1m": 0.00994551597762372, "bench_spy_p1m": 0.0019265606099636567, "bench_c_p1m": -0.007379762096743181, "ret_p3m": 0.33522891419708967, "ret_signed_p3m": 0.33522891419708967, "alpha_spy_p3m": 0.29110762878221585, "alpha_c_p3m": 0.16369815512793662, "bench_spy_p3m": 0.04412128541487381, "bench_c_p3m": 0.17153075906915305, "ret_p6m": 0.40895798945011785, "ret_signed_p6m": 0.40895798945011785, "alpha_spy_p6m": 0.3494516369131462, "alpha_c_p6m": 0.08349178289571468, "bench_spy_p6m": 0.059506352536971674, "bench_c_p6m": 0.32546620655440317, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 63, "stated_label": "p3m", "ret_signed_stated": 0.33522891419708967, "alpha_spy_stated": 0.29110762878221585, "alpha_c_stated": 0.16369815512793662, "price_path": [-0.3139, -0.3091, -0.2985, -0.3111, -0.2825, -0.2886, -0.2834, -0.2999, -0.3205, -0.3121, -0.3181, -0.3229, -0.3026, -0.2955, -0.284, -0.2761, -0.2685, -0.2658, -0.2729, -0.2706, -0.2665, -0.2712, -0.2754, -0.2621, -0.2615, -0.2571, -0.2461, -0.2528, -0.273, -0.2736, -0.2952, -0.2859, -0.2605, -0.2461, -0.2274, -0.2198, -0.2233, -0.2166, -0.2123, -0.1671, -0.1631, -0.1584, -0.0933, -0.0936, -0.0741, -0.0638, -0.0773, -0.0731, -0.0718, -0.0573, -0.0544, -0.0392, 0.0022, 0.005, 0.0247, -0.001, -0.0273, -0.0296, -0.0706, -0.0362, -0.0332, -0.0031, 0.0019, 0.0, 0.0266, 0.0161, -0.0064, 0.0137, 0.0214, 0.037, 0.038, 0.0518, 0.0725, 0.0503, 0.0599, 0.0502, 0.0371, 0.0242, -0.0038, 0.0143, 0.0146, 0.0202, 0.0084, -0.0001, 0.0026, -0.0098, 0.0142, 0.0179, -0.0459, -0.0176, -0.0159, 0.0402, 0.0264, 0.0335, 0.0601, 0.0743, 0.1021, 0.0951, 0.0886, 0.1019, 0.0901, 0.0822, 0.0764, 0.0585, 0.065, 0.0394, -0.0002, 0.0212, 0.0314, 0.025, 0.0332, 0.0284, 0.0284, 0.0373, 0.0506, 0.054, 0.1283, 0.2048, 0.2137, 0.2032, 0.1588, 0.2373, 0.2428, 0.2613, 0.2403, 0.3149, 0.3352, 0.2817, 0.3041, 0.321, 0.3458, 0.3478, 0.3476, 0.3929, 0.3663, 0.3636, 0.3906, 0.4011, 0.3618, 0.3048, 0.3151, 0.3657, 0.3801, 0.3666, 0.3835, 0.3515, 0.3636, 0.3689, 0.3737, 0.4259, 0.4184, 0.4383, 0.431, 0.4472, 0.4759, 0.4117, 0.4129, 0.3865, 0.3308, 0.3744, 0.3586, 0.3139, 0.3146, 0.3746, 0.3732, 0.3521, 0.3512, 0.3716, 0.3675, 0.3643, 0.3386, 0.2923, 0.3464, 0.3764, 0.3879, 0.3354, 0.3132, 0.2738, 0.282, 0.3604, 0.3299, 0.3299, 0.3299, 0.2759, 0.389, 0.4145, 0.4548, 0.4431, 0.471, 0.409]}
{"unit_id": "thread:1978934834727915797", "ticker_idx": 0, "ts": "2025-10-16T21:23:26+00:00", "symbol": "ASML.AS", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "this will become an alpha for ASML", "tweet_type": "analysis", "timeline": "quarters", "summary": "Long ASML as Intel foundry buildout forces large EUV machine purchases; Intel foundry also seen benefiting from Trump support.", "resolved_tickers": ["ASML.AS"], "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": "self_thread", "lang": "en", "tweet_text": "3/ Speculation: $INTC Intel getting deals is good for ASML \n\nEver since Trump got a stake at Intel, I've speculated that Intel will suddenly start doing well with the help of Trump.\n\nSoon, Nvidia had made a surprise deal with intel(not with their foundry)\n\nI'm still convinced that Trump will do a lot for Intel's foundry business.\n\nAnd this will become an alpha for ASML. \n\nRegardless of how Intel's foundry ends up, the set up itself will require them to compete with TSMC - who is one of the biggest customers for ASML. \n\nThis is great news, because to hit the ground running with any vendor, Intel will have to get the same machinery from ASML, and get started at scale to show that they can sustain bigger orders. \n\nIntel was already one of the first customers to buy ASML's latest EUV machines last quarter ($350Mn/ machine) and I only expect that to go up.\n\n---\n\nIf you found this thread insightful, you should follow me and subscribe to my newsletter (link in bio)\n\nI release an analysis twice a week, and ASML is one of the companies I monitor closely.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.0019412898727311223, "ret_signed_m1d": 0.0019412898727311223, "alpha_spy_m1d": 0.007585642838197848, "alpha_c_m1d": 0.00057036463168747, "bench_spy_m1d": -0.005644352965466726, "bench_c_m1d": 0.0013709252410436523, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.026607127704501243, "ret_signed_p1d": 0.026607127704501243, "alpha_spy_p1d": 0.01620662744157797, "alpha_c_p1d": 0.01380188409627392, "bench_spy_p1d": 0.010400500262923273, "bench_c_p1d": 0.012805243608227324, "ret_p1w": 0.021354328740080142, "ret_signed_p1w": 0.021354328740080142, "alpha_spy_p1w": 0.001998225514816321, "alpha_c_p1w": -0.002885233235330853, "bench_spy_p1w": 0.01935610322526382, "bench_c_p1w": 0.024239561975410995, "ret_p1m": 0.002565753880880539, "ret_signed_p1m": 0.002565753880880539, "alpha_spy_p1m": 0.0006391932709168824, "alpha_c_p1m": 0.00994551597762372, "bench_spy_p1m": 0.0019265606099636567, "bench_c_p1m": -0.007379762096743181, "ret_p3m": 0.33522891419708967, "ret_signed_p3m": 0.33522891419708967, "alpha_spy_p3m": 0.29110762878221585, "alpha_c_p3m": 0.16369815512793662, "bench_spy_p3m": 0.04412128541487381, "bench_c_p3m": 0.17153075906915305, "ret_p6m": 0.40895798945011785, "ret_signed_p6m": 0.40895798945011785, "alpha_spy_p6m": 0.3494516369131462, "alpha_c_p6m": 0.08349178289571468, "bench_spy_p6m": 0.059506352536971674, "bench_c_p6m": 0.32546620655440317, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 63, "stated_label": "p3m", "ret_signed_stated": 0.33522891419708967, "alpha_spy_stated": 0.29110762878221585, "alpha_c_stated": 0.16369815512793662, "price_path": [-0.3139, -0.3091, -0.2985, -0.3111, -0.2825, -0.2886, -0.2834, -0.2999, -0.3205, -0.3121, -0.3181, -0.3229, -0.3026, -0.2955, -0.284, -0.2761, -0.2685, -0.2658, -0.2729, -0.2706, -0.2665, -0.2712, -0.2754, -0.2621, -0.2615, -0.2571, -0.2461, -0.2528, -0.273, -0.2736, -0.2952, -0.2859, -0.2605, -0.2461, -0.2274, -0.2198, -0.2233, -0.2166, -0.2123, -0.1671, -0.1631, -0.1584, -0.0933, -0.0936, -0.0741, -0.0638, -0.0773, -0.0731, -0.0718, -0.0573, -0.0544, -0.0392, 0.0022, 0.005, 0.0247, -0.001, -0.0273, -0.0296, -0.0706, -0.0362, -0.0332, -0.0031, 0.0019, 0.0, 0.0266, 0.0161, -0.0064, 0.0137, 0.0214, 0.037, 0.038, 0.0518, 0.0725, 0.0503, 0.0599, 0.0502, 0.0371, 0.0242, -0.0038, 0.0143, 0.0146, 0.0202, 0.0084, -0.0001, 0.0026, -0.0098, 0.0142, 0.0179, -0.0459, -0.0176, -0.0159, 0.0402, 0.0264, 0.0335, 0.0601, 0.0743, 0.1021, 0.0951, 0.0886, 0.1019, 0.0901, 0.0822, 0.0764, 0.0585, 0.065, 0.0394, -0.0002, 0.0212, 0.0314, 0.025, 0.0332, 0.0284, 0.0284, 0.0373, 0.0506, 0.054, 0.1283, 0.2048, 0.2137, 0.2032, 0.1588, 0.2373, 0.2428, 0.2613, 0.2403, 0.3149, 0.3352, 0.2817, 0.3041, 0.321, 0.3458, 0.3478, 0.3476, 0.3929, 0.3663, 0.3636, 0.3906, 0.4011, 0.3618, 0.3048, 0.3151, 0.3657, 0.3801, 0.3666, 0.3835, 0.3515, 0.3636, 0.3689, 0.3737, 0.4259, 0.4184, 0.4383, 0.431, 0.4472, 0.4759, 0.4117, 0.4129, 0.3865, 0.3308, 0.3744, 0.3586, 0.3139, 0.3146, 0.3746, 0.3732, 0.3521, 0.3512, 0.3716, 0.3675, 0.3643, 0.3386, 0.2923, 0.3464, 0.3764, 0.3879, 0.3354, 0.3132, 0.2738, 0.282, 0.3604, 0.3299, 0.3299, 0.3299, 0.2759, 0.389, 0.4145, 0.4548, 0.4431, 0.471, 0.409]}
{"unit_id": "thread:1978934834727915797", "ticker_idx": 1, "ts": "2025-10-16T21:23:26+00:00", "symbol": "INTC", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "I'm still convinced that Trump will do a lot for Intel's foundry business", "tweet_type": "analysis", "timeline": "quarters", "summary": "Long ASML as Intel foundry buildout forces large EUV machine purchases; Intel foundry also seen benefiting from Trump support.", "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": "self_thread", "lang": "en", "tweet_text": "3/ Speculation: $INTC Intel getting deals is good for ASML \n\nEver since Trump got a stake at Intel, I've speculated that Intel will suddenly start doing well with the help of Trump.\n\nSoon, Nvidia had made a surprise deal with intel(not with their foundry)\n\nI'm still convinced that Trump will do a lot for Intel's foundry business.\n\nAnd this will become an alpha for ASML. \n\nRegardless of how Intel's foundry ends up, the set up itself will require them to compete with TSMC - who is one of the biggest customers for ASML. \n\nThis is great news, because to hit the ground running with any vendor, Intel will have to get the same machinery from ASML, and get started at scale to show that they can sustain bigger orders. \n\nIntel was already one of the first customers to buy ASML's latest EUV machines last quarter ($350Mn/ machine) and I only expect that to go up.\n\n---\n\nIf you found this thread insightful, you should follow me and subscribe to my newsletter (link in bio)\n\nI release an analysis twice a week, and ASML is one of the companies I monitor closely.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.0045933038815190175, "ret_signed_m1d": -0.0045933038815190175, "alpha_spy_m1d": 0.0010510490839477082, "alpha_c_m1d": -0.00596422912256267, "bench_spy_m1d": -0.005644352965466726, "bench_c_m1d": 0.0013709252410436523, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.029451505053263105, "ret_signed_p1d": 0.029451505053263105, "alpha_spy_p1d": 0.01905100479033983, "alpha_c_p1d": 0.01664626144503578, "bench_spy_p1d": 0.010400500262923273, "bench_c_p1d": 0.012805243608227324, "ret_p1w": 0.03431506391138517, "ret_signed_p1w": 0.03431506391138517, "alpha_spy_p1w": 0.014958960686121348, "alpha_c_p1w": 0.010075501935974174, "bench_spy_p1w": 0.01935610322526382, "bench_c_p1w": 0.024239561975410995, "ret_p1m": -0.06214534832124963, "ret_signed_p1m": -0.06214534832124963, "alpha_spy_p1m": -0.06407190893121328, "alpha_c_p1m": -0.054765586224506446, "bench_spy_p1m": 0.0019265606099636567, "bench_c_p1m": -0.007379762096743181, "ret_p3m": 0.2688462905752236, "ret_signed_p3m": 0.2688462905752236, "alpha_spy_p3m": 0.22472500516034977, "alpha_c_p3m": 0.09731553150607053, "bench_spy_p3m": 0.04412128541487381, "bench_c_p3m": 0.17153075906915305, "ret_p6m": 0.7546610480017983, "ret_signed_p6m": 0.7546610480017983, "alpha_spy_p6m": 0.6951546954648267, "alpha_c_p6m": 0.42919484144739517, "bench_spy_p6m": 0.059506352536971674, "bench_c_p6m": 0.32546620655440317, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 63, "stated_label": "p3m", "ret_signed_stated": 0.2688462905752236, "alpha_spy_stated": 0.22472500516034977, "alpha_c_stated": 0.09731553150607053, "price_path": [-0.3721, -0.3653, -0.3885, -0.4407, -0.4412, -0.4485, -0.4504, -0.465, -0.4782, -0.4731, -0.4545, -0.4485, -0.4658, -0.461, -0.442, -0.4107, -0.3996, -0.3553, -0.3364, -0.3607, -0.3161, -0.364, -0.365, -0.3299, -0.3367, -0.3421, -0.3286, -0.3264, -0.3421, -0.3421, -0.3459, -0.3515, -0.335, -0.3383, -0.3386, -0.3396, -0.3307, -0.335, -0.3494, -0.3307, -0.3172, -0.3272, -0.174, -0.2008, -0.2229, -0.2072, -0.1564, -0.0816, -0.0408, -0.0684, -0.0935, -0.0289, 0.0078, -0.0049, -0.0113, 0.0043, 0.0113, 0.0213, -0.0173, 0.0057, -0.0373, 0.0038, -0.0046, 0.0, 0.0295, 0.03, -0.0024, 0.0311, 0.0343, 0.0684, 0.1221, 0.117, 0.0851, 0.0805, 0.0673, 0.0005, 0.037, 0.0062, 0.0303, 0.0389, 0.0235, 0.0238, -0.0297, -0.0403, -0.0621, -0.0724, -0.0513, -0.0916, -0.0678, -0.033, -0.0319, -0.0054, -0.0054, 0.0959, 0.0811, 0.1745, 0.1824, 0.0943, 0.1189, 0.0889, 0.0943, 0.1019, 0.0675, 0.0216, 0.0135, 0.0081, -0.0259, -0.0197, -0.0051, -0.0173, -0.0178, -0.023, -0.0219, -0.0089, 0.0078, -0.003, 0.064, 0.0638, 0.0819, 0.1519, 0.1108, 0.2307, 0.1905, 0.2778, 0.3164, 0.3056, 0.2688, 0.2688, 0.3121, 0.4658, 0.4677, 0.2178, 0.1481, 0.187, 0.318, 0.3148, 0.2556, 0.3188, 0.3307, 0.3132, 0.3034, 0.3669, 0.3575, 0.2734, 0.3048, 0.2559, 0.2643, 0.2643, 0.2478, 0.2283, 0.2056, 0.1918, 0.1789, 0.2461, 0.2667, 0.2283, 0.2324, 0.2294, 0.1646, 0.2316, 0.2416, 0.1732, 0.2316, 0.264, 0.2964, 0.2226, 0.2367, 0.2364, 0.1905, 0.2167, 0.2478, 0.1854, 0.1891, 0.1905, 0.2748, 0.1916, 0.1654, 0.1129, 0.1924, 0.2978, 0.3613, 0.3613, 0.3721, 0.4296, 0.5928, 0.6677, 0.6855, 0.7611, 0.7241, 0.7547]}
{"unit_id": "orig:1978937138239672629", "ticker_idx": 0, "ts": "2025-10-16T21:32:35+00:00", "symbol": "ADBE", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "I think $ADBE Adobe will be fine. I don't think they're getting disrupted by AI", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish ADBE; author believes Adobe is not being disrupted by AI.", "resolved_tickers": ["ADBE"], "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": "Guys, I think $ADBE Adobe will be fine. \n\nI don't think they're getting disrupted by AI 👍 https://t.co/4Wg65Qefm3", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.012092656368014598, "ret_signed_m1d": -0.012092656368014598, "alpha_spy_m1d": -0.0064483034025478725, "alpha_c_m1d": -0.0064483034025478725, "bench_spy_m1d": -0.005644352965466726, "bench_c_m1d": -0.005644352965466726, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.030426645363152316, "ret_signed_p1d": 0.030426645363152316, "alpha_spy_p1d": 0.020026145100229042, "alpha_c_p1d": 0.020026145100229042, "bench_spy_p1d": 0.010400500262923273, "bench_c_p1d": 0.010400500262923273, "ret_p1w": 0.06079331049139469, "ret_signed_p1w": 0.06079331049139469, "alpha_spy_p1w": 0.04143720726613087, "alpha_c_p1w": 0.04143720726613087, "bench_spy_p1w": 0.01935610322526382, "bench_c_p1w": 0.01935610322526382, "ret_p1m": -0.024575413195138895, "ret_signed_p1m": -0.024575413195138895, "alpha_spy_p1m": -0.026501973805102552, "alpha_c_p1m": -0.026501973805102552, "bench_spy_p1m": 0.0019265606099636567, "bench_c_p1m": 0.0019265606099636567, "ret_p3m": -0.11144455848320145, "ret_signed_p3m": -0.11144455848320145, "alpha_spy_p3m": -0.15556584389807526, "alpha_c_p3m": -0.15556584389807526, "bench_spy_p3m": 0.04412128541487381, "bench_c_p3m": 0.04412128541487381, "ret_p6m": -0.2658584993915898, "ret_signed_p6m": -0.2658584993915898, "alpha_spy_p6m": -0.32536485192856146, "alpha_c_p6m": -0.32536485192856146, "bench_spy_p6m": 0.059506352536971674, "bench_c_p6m": 0.059506352536971674, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.024575413195138895, "alpha_spy_stated": -0.026501973805102552, "alpha_c_stated": -0.026501973805102552, "price_path": [0.1189, 0.1176, 0.1153, 0.1125, 0.1087, 0.1123, 0.0922, 0.0733, 0.0436, 0.0168, 0.0164, 0.0371, 0.015, 0.0234, 0.0012, 0.0155, 0.0534, 0.046, 0.0648, 0.072, 0.0833, 0.0605, 0.0605, 0.0865, 0.0899, 0.065, 0.0693, 0.0621, 0.0703, 0.0703, 0.0371, 0.0457, 0.0332, 0.0471, 0.0762, 0.0624, 0.0507, 0.0519, 0.0483, 0.0415, 0.0584, 0.0864, 0.1026, 0.0979, 0.0925, 0.0856, 0.06, 0.0627, 0.0813, 0.0785, 0.0585, 0.0314, 0.0547, 0.0404, 0.0507, 0.0452, 0.0465, 0.0426, 0.0128, 0.0182, 0.008, -0.0079, -0.0121, 0.0, 0.0304, 0.0729, 0.0625, 0.0626, 0.0608, 0.0736, 0.08, 0.0138, 0.0179, 0.0212, 0.0126, 0.0063, 0.0068, -0.0177, -0.0189, -0.0132, -0.0001, 0.0114, 0.001, -0.0065, -0.0246, -0.0264, -0.0455, -0.0626, -0.0272, -0.0436, -0.0411, -0.0472, -0.0472, -0.0394, -0.0312, -0.0314, -0.0194, -0.0136, 0.039, 0.0176, 0.0332, 0.0296, 0.0515, 0.0695, 0.0537, 0.0439, 0.0642, 0.0677, 0.0678, 0.0728, 0.0575, 0.0592, 0.0616, 0.0597, 0.0578, 0.0502, 0.0001, -0.0051, 0.0082, 0.0145, 0.0173, 0.0021, -0.0168, -0.07, -0.0865, -0.0875, -0.1114, -0.1114, -0.1287, -0.1171, -0.1006, -0.0966, -0.0856, -0.1075, -0.1011, -0.1249, -0.1201, -0.1197, -0.184, -0.1607, -0.1917, -0.1947, -0.1991, -0.2058, -0.2284, -0.2123, -0.2079, -0.2079, -0.2185, -0.2103, -0.2222, -0.224, -0.2598, -0.2343, -0.2264, -0.2227, -0.2126, -0.2172, -0.1869, -0.1805, -0.1546, -0.149, -0.1525, -0.1744, -0.1787, -0.1905, -0.2519, -0.2443, -0.2372, -0.2618, -0.2619, -0.2554, -0.2569, -0.2832, -0.2881, -0.2772, -0.2953, -0.2765, -0.2706, -0.2757, -0.2711, -0.2711, -0.2668, -0.2794, -0.2819, -0.31, -0.3238, -0.2795, -0.2927, -0.2659]}
{"unit_id": "thread:1979310453273546917", "ticker_idx": 0, "ts": "2025-10-17T22:16:00+00:00", "symbol": "GOOGL", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "In my opinion, Google will win undoubtedly win the AI race. They're the only company out there that dominates all 3 elements in the AI market - Hardware, Models, and Distribution. Undoubtedly bullish $GOOG $GOOGL", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Long GOOGL: dominant across AI hardware, models, and distribution makes it the clear AI race winner vs competitors like OpenAI spending billions to catch up.", "resolved_tickers": ["GOOGL"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLC", "bench_c_reason": "industry='Internet Content & Information'", "bench_c_industry": "Internet Content & Information", "unit_kind": "self_thread", "lang": "en", "tweet_text": "$GOOG $GOOGL \n\nYou're probably seeing this image go around a lot - for good reason. \n\nHere's some more context around it: \n\nIn my opinion, Google will win undoubtedly win the AI race. \n\nThey're the only company out there that dominates all 3 elements in the AI market - Hardware, Models, and Distribution. \n\nIt's simple really. \n\nIf you're missing either one of those, you're gonna be left behind. \n\nTake OpenAI for example, they've gone a spending spree this past month trying to do the same - \n\n1) Deal with Nvidia/AMD for the chips \n2) Deal with oracle/Salesforce for the distribution and data centre \n\nBillions of dollars thrown around just to compete with what Google already does in house.\n\nAnd that's why Google will win this race. \n\nI published a report last month emphasizing the same facts. Find the link in the comment to this post. \n\nUndoubtedly bullish $GOOG $GOOGL\n\n---\n\nDeep dive: https://open.substack.com/pub/reboundcapital/p/deep-dive-alphabet-inc-goog?r=5tpz56&utm_campaign=post&utm_medium=web&showWelcomeOnShare=false", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.012668091660117398, "ret_signed_m1d": -0.012668091660117398, "alpha_spy_m1d": -0.0023746483569747623, "alpha_c_m1d": -0.0014844116218633019, "bench_spy_m1d": -0.010293443303142635, "bench_c_m1d": -0.011183680038254096, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.023738071519987414, "ret_signed_p1d": -0.023738071519987414, "alpha_spy_p1d": -0.023723128641204183, "alpha_c_p1d": -0.02726531213206551, "bench_spy_p1d": -1.494287878323064e-05, "bench_c_p1d": 0.0035272406120780975, "ret_p1w": 0.04958085693642622, "ret_signed_p1w": 0.04958085693642622, "alpha_spy_p1w": 0.02881520582936048, "alpha_c_p1w": 0.04166612319977836, "bench_spy_p1w": 0.02076565110706574, "bench_c_p1w": 0.007914733736647861, "ret_p1m": 0.108088065453396, "ret_signed_p1m": 0.108088065453396, "alpha_spy_p1m": 0.12480190455764462, "alpha_c_p1m": 0.14619886112901936, "bench_spy_p1m": -0.016713839104248618, "bench_c_p1m": -0.038110795675623366, "ret_p3m": 0.2871403518432307, "ret_signed_p3m": 0.2871403518432307, "alpha_spy_p3m": 0.2537666696813794, "alpha_c_p3m": 0.293137813273764, "bench_spy_p3m": 0.033373682161851326, "bench_c_p3m": -0.005997461430533257, "ret_p6m": 0.3115434242797621, "ret_signed_p6m": 0.3115434242797621, "alpha_spy_p6m": 0.26036626462582824, "alpha_c_p6m": 0.28267956491902724, "bench_spy_p6m": 0.05117715965393388, "bench_c_p6m": 0.028863859360734878, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.108088065453396, "alpha_spy_stated": 0.12480190455764462, "alpha_c_stated": 0.14619886112901936, "price_path": [-0.2592, -0.2516, -0.2477, -0.25, -0.2377, -0.2346, -0.2527, -0.2635, -0.2404, -0.2419, -0.2363, -0.2347, -0.2156, -0.2172, -0.2081, -0.2135, -0.2097, -0.2059, -0.2075, -0.215, -0.2238, -0.2221, -0.1974, -0.1881, -0.1933, -0.192, -0.1758, -0.1708, -0.1708, -0.1769, -0.1017, -0.0953, -0.0848, -0.0877, -0.066, -0.0677, -0.0631, -0.0614, -0.0193, -0.021, -0.0274, -0.0176, -0.0071, -0.0157, -0.0191, -0.0367, -0.0419, -0.039, -0.0487, -0.0524, -0.0454, -0.0423, -0.0437, -0.0239, -0.0421, -0.0465, -0.0585, -0.0779, -0.0483, -0.0433, -0.0215, -0.0198, -0.0127, 0.0, -0.0237, -0.0189, -0.0135, 0.0131, 0.0496, 0.0426, 0.0702, 0.0972, 0.096, 0.1059, 0.0818, 0.1082, 0.1099, 0.0868, 0.1308, 0.1355, 0.1176, 0.0858, 0.0774, 0.111, 0.1081, 0.1413, 0.1282, 0.168, 0.2418, 0.2607, 0.2471, 0.2471, 0.248, 0.2274, 0.231, 0.2459, 0.238, 0.2523, 0.2236, 0.2367, 0.249, 0.2186, 0.2064, 0.2022, 0.1958, 0.1573, 0.1797, 0.1981, 0.2083, 0.2261, 0.2251, 0.2228, 0.223, 0.2241, 0.2208, 0.2292, 0.2346, 0.2261, 0.2559, 0.2694, 0.2816, 0.2944, 0.3104, 0.3099, 0.298, 0.2871, 0.2871, 0.2559, 0.2808, 0.2892, 0.2791, 0.2999, 0.3049, 0.3106, 0.3193, 0.3183, 0.3405, 0.325, 0.299, 0.292, 0.2593, 0.265, 0.2426, 0.2129, 0.2052, 0.1924, 0.1924, 0.178, 0.1831, 0.1812, 0.2286, 0.2149, 0.2126, 0.2204, 0.1989, 0.216, 0.1956, 0.1841, 0.1823, 0.1736, 0.1644, 0.1958, 0.1984, 0.2049, 0.1848, 0.1799, 0.1927, 0.2136, 0.201, 0.1988, 0.1749, 0.179, 0.1336, 0.1355, 0.0965, 0.0708, 0.0675, 0.1224, 0.1608, 0.1544, 0.1544, 0.1709, 0.1923, 0.2386, 0.2431, 0.2382, 0.2541, 0.2994, 0.3158, 0.3115]}
{"unit_id": "orig:1979341911619178939", "ticker_idx": 0, "ts": "2025-10-18T00:21:00+00:00", "symbol": "GOOG", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "This is undoubtedly bullish for Google $GOOG $GOOGL. I'm confident Waymo can scale enough to become a fantastic business under Google's umbrella.", "tweet_type": "analysis", "timeline": "years", "summary": "Bullish GOOG on Waymo's ride-hailing growth potential, 200K weekly rides, DoorDash partnership, and London expansion within Google's broader ecosystem.", "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": "original", "lang": "en", "tweet_text": "This is undoubtedly bullish for Google $GOOG $GOOGL\n\nGS estimates the auto ride-hailing market will reach up to $25Bn by 2030.\n\nAnd there’s just one company at the core of this - Waymo.\n\nWaymo is Google’s subsidiary that started off as an experimental business. Now, they’re doing 200,000 rides a week.\n\nAnd they’re expanding at an incredibly rapid pace.\n\nJust last week, they announced their partnership with Doordash to start food delivery in a pilot program, and their plan to expand to London in 2026!\n\nI’m confident Waymo can scale enough to become a fantastic business under Google’s umbrella.\n\nThey’re already dominating in several industries through Youtube, Search, Android, and LLMs, and I think the auto ride-hailing market is Google’s next big bet that’ll pay off.\n\nTo know more about Google’s other businesses, read my 2 part deep dive:\n\nhttps://open.substack.com/pub/reboundcapital/p/deep-dive-alphabet-inc-goog?r=5tpz56&utm_campaign=post&utm_medium=web&showWelcomeOnShare=false", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.012567104424740072, "ret_signed_m1d": -0.012567104424740072, "alpha_spy_m1d": -0.0022736611215974367, "alpha_c_m1d": -0.0013834243864859763, "bench_spy_m1d": -0.010293443303142635, "bench_c_m1d": -0.011183680038254096, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.022099430424352695, "ret_signed_p1d": -0.022099430424352695, "alpha_spy_p1d": -0.022084487545569464, "alpha_c_p1d": -0.025626671036430793, "bench_spy_p1d": -1.494287878323064e-05, "bench_c_p1d": 0.0035272406120780975, "ret_p1w": 0.050229514858981306, "ret_signed_p1w": 0.050229514858981306, "alpha_spy_p1w": 0.029463863751915564, "alpha_c_p1w": 0.042314781122333445, "bench_spy_p1w": 0.02076565110706574, "bench_c_p1w": 0.007914733736647861, "ret_p1m": 0.10870750251381356, "ret_signed_p1m": 0.10870750251381356, "alpha_spy_p1m": 0.12542134161806218, "alpha_c_p1m": 0.14681829818943692, "bench_spy_p1m": -0.016713839104248618, "bench_c_p1m": -0.038110795675623366, "ret_p3m": 0.2861082598224318, "ret_signed_p3m": 0.2861082598224318, "alpha_spy_p3m": 0.2527345776605805, "alpha_c_p3m": 0.2921057212529651, "bench_spy_p3m": 0.033373682161851326, "bench_c_p3m": -0.005997461430533257, "ret_p6m": 0.29648151770091125, "ret_signed_p6m": 0.29648151770091125, "alpha_spy_p6m": 0.24530435804697737, "alpha_c_p6m": 0.26761765834017637, "bench_spy_p6m": 0.05117715965393388, "bench_c_p6m": 0.028863859360734878, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 252, "stated_label": "p1y", "ret_signed_stated": null, "alpha_spy_stated": null, "alpha_c_stated": null, "price_path": [-0.2555, -0.249, -0.2456, -0.2481, -0.2364, -0.2325, -0.2503, -0.2616, -0.2391, -0.2407, -0.2345, -0.2331, -0.2144, -0.2162, -0.2064, -0.2108, -0.2077, -0.2035, -0.2059, -0.2129, -0.2218, -0.2201, -0.1964, -0.1869, -0.1916, -0.1906, -0.1745, -0.17, -0.17, -0.1759, -0.1017, -0.0956, -0.0858, -0.0889, -0.0665, -0.0679, -0.0632, -0.0609, -0.0205, -0.0218, -0.0279, -0.0182, -0.0069, -0.0161, -0.0182, -0.0358, -0.0407, -0.0383, -0.0493, -0.0524, -0.0447, -0.0412, -0.0411, -0.0214, -0.0385, -0.045, -0.0576, -0.076, -0.0482, -0.0421, -0.0207, -0.02, -0.0126, 0.0, -0.0221, -0.0175, -0.0128, 0.0136, 0.0502, 0.0444, 0.0706, 0.0968, 0.0965, 0.1054, 0.0819, 0.1079, 0.1102, 0.0882, 0.1306, 0.1351, 0.1183, 0.086, 0.0777, 0.1112, 0.1087, 0.14, 0.1282, 0.1659, 0.2391, 0.2592, 0.2461, 0.2461, 0.2455, 0.2261, 0.2296, 0.2475, 0.2388, 0.2532, 0.2242, 0.2371, 0.2497, 0.2213, 0.2089, 0.2043, 0.1981, 0.1604, 0.1826, 0.2015, 0.2121, 0.229, 0.229, 0.2262, 0.224, 0.2246, 0.2217, 0.2276, 0.2354, 0.2246, 0.2553, 0.2693, 0.2814, 0.2954, 0.3098, 0.3094, 0.2971, 0.2861, 0.2861, 0.2543, 0.2785, 0.2881, 0.2787, 0.2988, 0.3043, 0.3092, 0.3185, 0.318, 0.3428, 0.3264, 0.2978, 0.29, 0.2579, 0.263, 0.2405, 0.2121, 0.2045, 0.1914, 0.1914, 0.179, 0.1833, 0.1818, 0.226, 0.2135, 0.2105, 0.2187, 0.1958, 0.2125, 0.1927, 0.1818, 0.1814, 0.1715, 0.1614, 0.1922, 0.1958, 0.2016, 0.1813, 0.1745, 0.186, 0.2055, 0.1934, 0.1911, 0.1641, 0.165, 0.1267, 0.1283, 0.0938, 0.0666, 0.0642, 0.1176, 0.1489, 0.1472, 0.1472, 0.1597, 0.1841, 0.2262, 0.2326, 0.2301, 0.2437, 0.2879, 0.3031, 0.2965]}
{"unit_id": "orig:1980981811036717222", "ticker_idx": 0, "ts": "2025-10-22T12:57:23+00:00", "symbol": "Constellation Software", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Do not ignore Constellation due to its high P/E.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish Constellation Software: headline P/E misleading due to acquisition-driven amortization; cash flow is 3x net income and forward P/E adjusted for intangibles is only 25.", "resolved_tickers": ["CSU.TO"], "resolution_method": "exchange_ticker", "resolution_reason": "Constellation Software Inc. trades on TSX as CSU.TO", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='TO')", "bench_c_industry": "Software - Application", "unit_kind": "original", "lang": "en", "tweet_text": "Do not ignore Constellation due to its high P/E. \n\nAt first glance, Constellation Software trades at a P/E of 90, and it makes no sense to invest in a company with such a high valuation (especially if you are a value investor). \n\nHowever, if you dig a bit deeper and understand their business model, the numbers begin to make sense.\n\nConstellation grows by acquiring companies. Part of the price of the acquired company is for intangible assets, such as customer lists, software code, and the brand. Constellation has to amortize this cost over an estimated life span (5-15 years).\n\nThis amortization cost was $1.04 billion in 2024, which was 1.4x of its net income. This is why the “E” in P/E is depressed. Meanwhile, if you look at the cash flow, the Cash Flow from Operations is 3x of their net income.\n\nDue to the acquisitive nature of the company, it’s much better to see the economics through cash. \n\nFinally, you can check the forward P/E for the company, which is now only at 25. For the forward P/E, earnings are adjusted for acquired intangible amortization, which reveals the actual earnings.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.003167953764533493, "ret_signed_m1d": -0.003167953764533493, "alpha_spy_m1d": -0.008394039813132359, "alpha_c_m1d": -0.008394039813132359, "bench_spy_m1d": 0.005226086048598866, "bench_c_m1d": 0.005226086048598866, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.010273767687587254, "ret_signed_p1d": 0.010273767687587254, "alpha_spy_p1d": 0.004343804981622901, "alpha_c_p1d": 0.004343804981622901, "bench_spy_p1d": 0.005929962705964353, "bench_c_p1d": 0.005929962705964353, "ret_p1w": -0.0639891673726406, "ret_signed_p1w": -0.0639891673726406, "alpha_spy_p1w": -0.09332436517737108, "alpha_c_p1w": -0.09332436517737108, "bench_spy_p1w": 0.029335197804730484, "bench_c_p1w": 0.029335197804730484, "ret_p1m": -0.12710300438427202, "ret_signed_p1m": -0.12710300438427202, "alpha_spy_p1m": -0.10423696571418417, "alpha_c_p1m": -0.10423696571418417, "bench_spy_p1m": -0.02286603867008785, "bench_c_p1m": -0.02286603867008785, "ret_p3m": -0.2661213687622358, "ret_signed_p3m": -0.2661213687622358, "alpha_spy_p3m": -0.2955093711394553, "alpha_c_p3m": -0.2955093711394553, "bench_spy_p3m": 0.029388002377219502, "bench_c_p3m": 0.029388002377219502, "ret_p6m": -0.27748442909211146, "ret_signed_p6m": -0.27748442909211146, "alpha_spy_p6m": -0.34480307095850704, "alpha_c_p6m": -0.34480307095850704, "bench_spy_p6m": 0.06731864186639558, "bench_c_p6m": 0.06731864186639558, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.12710300438427202, "alpha_spy_stated": -0.10423696571418417, "alpha_c_stated": -0.10423696571418417, "price_path": [0.3249, 0.3119, 0.3167, 0.3172, 0.2951, 0.2783, 0.2783, 0.2978, 0.2797, 0.2598, 0.2462, 0.3009, 0.2682, 0.2212, 0.1532, 0.1794, 0.1905, 0.1742, 0.1813, 0.2023, 0.2326, 0.2113, 0.1901, 0.1918, 0.198, 0.2328, 0.2328, 0.2378, 0.2471, 0.2477, 0.2461, 0.2406, 0.2414, 0.198, 0.2002, 0.1901, 0.1654, 0.1799, 0.16, 0.1679, 0.1971, 0.1383, 0.084, 0.1213, 0.0546, -0.0081, 0.0208, 0.0238, 0.0385, 0.0574, 0.092, 0.0563, 0.04, 0.0486, 0.0705, 0.0667, 0.0667, 0.0718, 0.076, 0.0449, 0.0336, 0.0054, -0.0032, 0.0, 0.0103, 0.025, 0.0418, 0.0171, -0.064, -0.0279, 0.0003, -0.0285, -0.0496, -0.0323, -0.0805, -0.0824, -0.1044, -0.1173, -0.0906, -0.1118, -0.094, -0.1205, -0.1224, -0.1323, -0.1271, -0.108, -0.0832, -0.0796, -0.0732, -0.0726, -0.0834, -0.1004, -0.1, -0.1075, -0.103, -0.0987, -0.0958, -0.0944, -0.1016, -0.1171, -0.1097, -0.0959, -0.1165, -0.1016, -0.0988, -0.085, -0.1032, -0.0968, -0.1009, -0.1009, -0.0932, -0.1018, -0.1049, -0.1218, -0.1303, -0.1171, -0.1174, -0.1021, -0.0986, -0.0978, -0.1296, -0.1804, -0.2078, -0.2287, -0.2433, -0.2765, -0.2661, -0.2645, -0.246, -0.2382, -0.2812, -0.2842, -0.308, -0.3187, -0.3346, -0.3794, -0.3268, -0.3284, -0.3401, -0.3303, -0.3385, -0.3698, -0.3763, -0.3611, -0.3611, -0.3878, -0.3556, -0.3452, -0.3259, -0.3474, -0.3579, -0.3332, -0.293, -0.3166, -0.3041, -0.2699, -0.2814, -0.2417, -0.1966, -0.1934, -0.2033, -0.268, -0.2899, -0.3157, -0.3053, -0.2964, -0.3038, -0.317, -0.3224, -0.3119, -0.3382, -0.3475, -0.3529, -0.3601, -0.3525, -0.3376, -0.3369, -0.3378, -0.3378, -0.3374, -0.3548, -0.3449, -0.3599, -0.3774, -0.3377, -0.3175, -0.2861, -0.2861, -0.2875, -0.2775]}
{"unit_id": "orig:1981077567940767874", "ticker_idx": 0, "ts": "2025-10-22T19:17:53+00:00", "symbol": "CSU.TO", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Here's a +40% rebound setup - $CSU Constellation Software Inc. … I've closed some of our positions to make $CSU 30% of our entire portfolio.", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Long CSU: 28% drawdown mirrors prior 25% bottoms; confident drawdown reasons will subside; targeting +40% rebound; sized to 30% of portfolio.", "resolved_tickers": ["CSU.TO"], "resolution_method": "exchange_ticker", "resolution_reason": "Constellation Software listed on TSX as CSU.TO", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='TO')", "bench_c_industry": "Software - Application", "unit_kind": "original", "lang": "en", "tweet_text": "Here’s a +40% rebound setup - $CSU Constellation Software Inc.\n\n$CSU focuses on buying Vertical Market Software(VMS) firms that usually generate <$20M in revenue. \n\nIn the past 30 years, they’ve acquired over 500 firms. \n\nAdditionally, over the course of those years, $CSU has had 3 massive drawdowns, each close to 25%. \n\nThat’s where the stock is right now too - a 28% drawdown. \n\nThere are two main reasons for the drawdown, which I'm confident will subside.\n\nTo expand on the rebound thesis, I’ve published a 2000+ word deep dive on the stock which should give you everything you need to build your own conviction. \n\nPS: Since the deep dive, I’ve closed some of our positions to make $CSU 30% of our entire portfolio.\n\nhttps://t.co/kxENsrIuSF", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.003167953764533493, "ret_signed_m1d": -0.003167953764533493, "alpha_spy_m1d": -0.008394039813132359, "alpha_c_m1d": -0.008394039813132359, "bench_spy_m1d": 0.005226086048598866, "bench_c_m1d": 0.005226086048598866, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.010273767687587254, "ret_signed_p1d": 0.010273767687587254, "alpha_spy_p1d": 0.004343804981622901, "alpha_c_p1d": 0.004343804981622901, "bench_spy_p1d": 0.005929962705964353, "bench_c_p1d": 0.005929962705964353, "ret_p1w": -0.0639891673726406, "ret_signed_p1w": -0.0639891673726406, "alpha_spy_p1w": -0.09332436517737108, "alpha_c_p1w": -0.09332436517737108, "bench_spy_p1w": 0.029335197804730484, "bench_c_p1w": 0.029335197804730484, "ret_p1m": -0.12710300438427202, "ret_signed_p1m": -0.12710300438427202, "alpha_spy_p1m": -0.10423696571418417, "alpha_c_p1m": -0.10423696571418417, "bench_spy_p1m": -0.02286603867008785, "bench_c_p1m": -0.02286603867008785, "ret_p3m": -0.2661213687622358, "ret_signed_p3m": -0.2661213687622358, "alpha_spy_p3m": -0.2955093711394553, "alpha_c_p3m": -0.2955093711394553, "bench_spy_p3m": 0.029388002377219502, "bench_c_p3m": 0.029388002377219502, "ret_p6m": -0.27748442909211146, "ret_signed_p6m": -0.27748442909211146, "alpha_spy_p6m": -0.34480307095850704, "alpha_c_p6m": -0.34480307095850704, "bench_spy_p6m": 0.06731864186639558, "bench_c_p6m": 0.06731864186639558, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.12710300438427202, "alpha_spy_stated": -0.10423696571418417, "alpha_c_stated": -0.10423696571418417, "price_path": [0.3249, 0.3119, 0.3167, 0.3172, 0.2951, 0.2783, 0.2783, 0.2978, 0.2797, 0.2598, 0.2462, 0.3009, 0.2682, 0.2212, 0.1532, 0.1794, 0.1905, 0.1742, 0.1813, 0.2023, 0.2326, 0.2113, 0.1901, 0.1918, 0.198, 0.2328, 0.2328, 0.2378, 0.2471, 0.2477, 0.2461, 0.2406, 0.2414, 0.198, 0.2002, 0.1901, 0.1654, 0.1799, 0.16, 0.1679, 0.1971, 0.1383, 0.084, 0.1213, 0.0546, -0.0081, 0.0208, 0.0238, 0.0385, 0.0574, 0.092, 0.0563, 0.04, 0.0486, 0.0705, 0.0667, 0.0667, 0.0718, 0.076, 0.0449, 0.0336, 0.0054, -0.0032, 0.0, 0.0103, 0.025, 0.0418, 0.0171, -0.064, -0.0279, 0.0003, -0.0285, -0.0496, -0.0323, -0.0805, -0.0824, -0.1044, -0.1173, -0.0906, -0.1118, -0.094, -0.1205, -0.1224, -0.1323, -0.1271, -0.108, -0.0832, -0.0796, -0.0732, -0.0726, -0.0834, -0.1004, -0.1, -0.1075, -0.103, -0.0987, -0.0958, -0.0944, -0.1016, -0.1171, -0.1097, -0.0959, -0.1165, -0.1016, -0.0988, -0.085, -0.1032, -0.0968, -0.1009, -0.1009, -0.0932, -0.1018, -0.1049, -0.1218, -0.1303, -0.1171, -0.1174, -0.1021, -0.0986, -0.0978, -0.1296, -0.1804, -0.2078, -0.2287, -0.2433, -0.2765, -0.2661, -0.2645, -0.246, -0.2382, -0.2812, -0.2842, -0.308, -0.3187, -0.3346, -0.3794, -0.3268, -0.3284, -0.3401, -0.3303, -0.3385, -0.3698, -0.3763, -0.3611, -0.3611, -0.3878, -0.3556, -0.3452, -0.3259, -0.3474, -0.3579, -0.3332, -0.293, -0.3166, -0.3041, -0.2699, -0.2814, -0.2417, -0.1966, -0.1934, -0.2033, -0.268, -0.2899, -0.3157, -0.3053, -0.2964, -0.3038, -0.317, -0.3224, -0.3119, -0.3382, -0.3475, -0.3529, -0.3601, -0.3525, -0.3376, -0.3369, -0.3378, -0.3378, -0.3374, -0.3548, -0.3449, -0.3599, -0.3774, -0.3377, -0.3175, -0.2861, -0.2861, -0.2875, -0.2775]}
{"unit_id": "orig:1981084993813467384", "ticker_idx": 0, "ts": "2025-10-22T19:47:23+00:00", "symbol": "GOOGL", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "I'm more surprised about the fact that people were betting against Google on something so major", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish Google on quantum computing dominance; surprised anyone doubted them on this.", "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": "original", "lang": "en", "tweet_text": "$GOOG $GOOGL\n\nSo Google just crashed the 6 biggest players (apart from itself) in the quantum computing space.   \n\nI'm more surprised about the fact that people were betting against Google on something so major 🤷‍♀️ https://t.co/rwKs1MYTr2", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.004886972214806384, "ret_signed_m1d": -0.004886972214806384, "alpha_spy_m1d": -0.01011305826340525, "alpha_c_m1d": -0.01362094203423192, "bench_spy_m1d": 0.005226086048598866, "bench_c_m1d": 0.008733969819425536, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.005522657644975393, "ret_signed_p1d": 0.005522657644975393, "alpha_spy_p1d": -0.0004073050609889606, "alpha_c_p1d": 0.008895242603526032, "bench_spy_p1d": 0.005929962705964353, "bench_c_p1d": -0.0033725849585506396, "ret_p1w": 0.09090556776002745, "ret_signed_p1w": 0.09090556776002745, "alpha_spy_p1w": 0.061570369955296966, "alpha_c_p1w": 0.08528474816596132, "bench_spy_p1w": 0.029335197804730484, "bench_c_p1w": 0.005620819594066129, "ret_p1m": 0.15002583136447, "ret_signed_p1m": 0.15002583136447, "alpha_spy_p1m": 0.17289187003455786, "alpha_c_p1m": 0.19905733161421835, "bench_spy_p1m": -0.02286603867008785, "bench_c_p1m": -0.04903150024974834, "ret_p3m": 0.3055536674311292, "ret_signed_p3m": 0.3055536674311292, "alpha_spy_p3m": 0.2761656650539097, "alpha_c_p3m": 0.3110786885697009, "bench_spy_p3m": 0.029388002377219502, "bench_c_p3m": -0.005525021138571673, "ret_p6m": 0.3424387298561675, "ret_signed_p6m": 0.3424387298561675, "alpha_spy_p6m": 0.27512008798977194, "alpha_c_p6m": 0.30893297039843337, "bench_spy_p6m": 0.06731864186639558, "bench_c_p6m": 0.03350575945773415, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.15002583136447, "alpha_spy_stated": 0.17289187003455786, "alpha_c_stated": 0.19905733161421835, "price_path": [-0.2332, -0.2355, -0.223, -0.2199, -0.2382, -0.2492, -0.2258, -0.2272, -0.2216, -0.2199, -0.2004, -0.2021, -0.1928, -0.1983, -0.1944, -0.1906, -0.1922, -0.1998, -0.2088, -0.2071, -0.1819, -0.1724, -0.1777, -0.1764, -0.1599, -0.1548, -0.1548, -0.161, -0.0844, -0.0779, -0.0671, -0.0701, -0.0479, -0.0497, -0.045, -0.0433, -0.0003, -0.0021, -0.0086, 0.0014, 0.012, 0.0033, -0.0001, -0.0181, -0.0234, -0.0205, -0.0304, -0.0341, -0.027, -0.0238, -0.0252, -0.005, -0.0236, -0.0281, -0.0404, -0.0601, -0.03, -0.0248, -0.0026, -0.0009, 0.0064, 0.0193, -0.0049, 0.0, 0.0055, 0.0327, 0.0698, 0.0627, 0.0909, 0.1184, 0.1172, 0.1273, 0.1027, 0.1296, 0.1314, 0.1078, 0.1526, 0.1574, 0.1391, 0.1068, 0.0982, 0.1324, 0.1295, 0.1634, 0.15, 0.1906, 0.2658, 0.2851, 0.2712, 0.2712, 0.2721, 0.2511, 0.2548, 0.2699, 0.2619, 0.2765, 0.2473, 0.2606, 0.2731, 0.2421, 0.2297, 0.2254, 0.2188, 0.1797, 0.2025, 0.2212, 0.2316, 0.2498, 0.2487, 0.2464, 0.2466, 0.2478, 0.2444, 0.253, 0.2585, 0.2497, 0.2801, 0.2939, 0.3063, 0.3194, 0.3357, 0.3352, 0.323, 0.312, 0.312, 0.2802, 0.3056, 0.3141, 0.3038, 0.325, 0.3301, 0.3359, 0.3448, 0.3438, 0.3664, 0.3506, 0.3241, 0.317, 0.2836, 0.2894, 0.2666, 0.2363, 0.2285, 0.2155, 0.2155, 0.2008, 0.206, 0.2041, 0.2523, 0.2384, 0.2361, 0.244, 0.2221, 0.2395, 0.2186, 0.207, 0.2052, 0.1962, 0.1868, 0.2189, 0.2216, 0.2282, 0.2077, 0.2026, 0.2157, 0.237, 0.2242, 0.2219, 0.1975, 0.2018, 0.1555, 0.1575, 0.1177, 0.0915, 0.0881, 0.1441, 0.1832, 0.1767, 0.1767, 0.1935, 0.2153, 0.2625, 0.2671, 0.2622, 0.2783, 0.3245, 0.3412, 0.3369, 0.3594, 0.3424]}
{"unit_id": "orig:1981088028606316654", "ticker_idx": 0, "ts": "2025-10-22T19:59:27+00:00", "symbol": "ASML.AS", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "ASML is inherently the best positioned company in semiconductors. All roads lead to $ASML when it comes to semiconductors.", "tweet_type": "analysis", "timeline": "quarters", "summary": "Long ASML as the monopoly backbone of chip manufacturing, best-positioned for the 4-6 quarter memory supply shortage driving wafer demand.", "resolved_tickers": ["ASML.AS"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "SMH", "bench_c_reason": "industry='Semiconductor Equipment & Materials'", "bench_c_industry": "Semiconductor Equipment & Materials", "unit_kind": "original", "lang": "en", "tweet_text": "$ASML \n\nASML has a monopoly on the most critical tech in chip manufacturing. \n\nThe 41% share makes perfect sense when you realize there's no competition.\n\n$ASML is inherently the best positioned company in semiconductors. \n\nWhat’s more, is that ASML is also perfectly positioned for the boom in memory demand. \n\nIn a nutshell, memory manufacturers are already quoting 25% higher prices for DRAM and NAND flashes - due to the lack of supply. \n\nThis shortage is expected to last 4-6 quarters.\n\nTo catch up, you need more wafers than ever, and for more wafers you need TSMC - who ultimately rely on ASML. \n\nAll roads lead to $ASML when it comes to semiconductors. \n\nI’ve covered $ASML thoroughly over the months, and the stock is up ~28% since then. But is it a buy right now? \n\nI’ve explained everything in my earnings review: \n\nhttps://t.co/HQfbgSmyXh", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.01982649621165511, "ret_signed_m1d": -0.01982649621165511, "alpha_spy_m1d": -0.025052582260253975, "alpha_c_m1d": -0.039613803274019754, "bench_spy_m1d": 0.005226086048598866, "bench_c_m1d": 0.019787307062364645, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0075476581052995595, "ret_signed_p1d": 0.0075476581052995595, "alpha_spy_p1d": 0.0016176953993352061, "alpha_c_p1d": -0.010762996395430324, "bench_spy_p1d": 0.005929962705964353, "bench_c_p1d": 0.018310654500729884, "ret_p1w": 0.05796410922399686, "ret_signed_p1w": 0.05796410922399686, "alpha_spy_p1w": 0.02862891141926638, "alpha_c_p1w": -0.03066551235587034, "bench_spy_p1w": 0.029335197804730484, "bench_c_p1w": 0.0886296215798672, "ret_p1m": -0.05883512578001637, "ret_signed_p1m": -0.05883512578001637, "alpha_spy_p1m": -0.03596908710992852, "alpha_c_p1m": -0.018965054570157625, "bench_spy_p1m": -0.02286603867008785, "bench_c_p1m": -0.03987007120985875, "ret_p3m": 0.32756153243615604, "ret_signed_p3m": 0.32756153243615604, "alpha_spy_p3m": 0.29817353005893654, "alpha_c_p3m": 0.13683313488761817, "bench_spy_p3m": 0.029388002377219502, "bench_c_p3m": 0.19072839754853788, "ret_p6m": 0.39782182959236057, "ret_signed_p6m": 0.39782182959236057, "alpha_spy_p6m": 0.330503187725965, "alpha_c_p6m": 0.023327894780247105, "bench_spy_p6m": 0.06731864186639558, "bench_c_p6m": 0.37449393481211346, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 63, "stated_label": "p3m", "ret_signed_stated": 0.32756153243615604, "alpha_spy_stated": 0.29817353005893654, "alpha_c_stated": 0.13683313488761817, "price_path": [-0.2922, -0.2982, -0.2931, -0.3093, -0.3297, -0.3214, -0.3274, -0.3321, -0.312, -0.3051, -0.2937, -0.2859, -0.2784, -0.2758, -0.2828, -0.2805, -0.2764, -0.2811, -0.2852, -0.2721, -0.2715, -0.2671, -0.2563, -0.2629, -0.2829, -0.2834, -0.3047, -0.2956, -0.2705, -0.2563, -0.2378, -0.2304, -0.2338, -0.2272, -0.2229, -0.1783, -0.1744, -0.1698, -0.1056, -0.1059, -0.0866, -0.0765, -0.0898, -0.0856, -0.0844, -0.0701, -0.0671, -0.0522, -0.0114, -0.0086, 0.0108, -0.0145, -0.0404, -0.0427, -0.0831, -0.0492, -0.0463, -0.0166, -0.0116, -0.0135, 0.0127, 0.0024, -0.0198, 0.0, 0.0075, 0.023, 0.024, 0.0375, 0.058, 0.0361, 0.0456, 0.036, 0.0231, 0.0103, -0.0173, 0.0006, 0.0009, 0.0064, -0.0052, -0.0136, -0.011, -0.0232, 0.0005, 0.0041, -0.0588, -0.0308, -0.0292, 0.0261, 0.0125, 0.0195, 0.0458, 0.0598, 0.0872, 0.0803, 0.0739, 0.087, 0.0753, 0.0676, 0.0618, 0.0442, 0.0506, 0.0254, -0.0137, 0.0074, 0.0175, 0.0111, 0.0193, 0.0145, 0.0145, 0.0233, 0.0364, 0.0398, 0.113, 0.1885, 0.1973, 0.187, 0.1432, 0.2206, 0.226, 0.2443, 0.2235, 0.2971, 0.3172, 0.2644, 0.2865, 0.3032, 0.3276, 0.3296, 0.3294, 0.3741, 0.3479, 0.3452, 0.3718, 0.3822, 0.3434, 0.2872, 0.2973, 0.3472, 0.3614, 0.3481, 0.3648, 0.3332, 0.3452, 0.3504, 0.3551, 0.4066, 0.3992, 0.4188, 0.4116, 0.4277, 0.4559, 0.3926, 0.3938, 0.3678, 0.3128, 0.3558, 0.3402, 0.2961, 0.2968, 0.356, 0.3547, 0.3339, 0.333, 0.3531, 0.349, 0.3458, 0.3205, 0.2749, 0.3282, 0.3578, 0.3691, 0.3174, 0.2954, 0.2566, 0.2647, 0.342, 0.3119, 0.3119, 0.3119, 0.2586, 0.3702, 0.3953, 0.4351, 0.4236, 0.4512, 0.3899, 0.3815, 0.4057, 0.4069, 0.3978]}
{"unit_id": "orig:1981089430967624095", "ticker_idx": 0, "ts": "2025-10-22T20:05:01+00:00", "symbol": "GOOG", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Google has yet again shown why they're the best positioned to win the AI arms race", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish GOOG: best positioned to win AI arms race via massive token processing scale, in-house TPU infrastructure, and new TPU cloud sales to Anthropic.", "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": "original", "lang": "en", "tweet_text": "$GOOG $GOOGL \n\nGoogle has yet again shown why they’re the best positioned to win the AI arms race. \n\nRecently, Google announced that they process 1.3 quadrillion tokens/month. \n\nOpenAI does ~260 trillion tokens/month. \n\nThis is accounting for the fact that Gemini is spread across Google’s ecosystem - from Gmail to training their flagship LLM Gemini.\n\nAnd Google is able to do it without $100B deals with other companies. Completely in-house.\n\nThat’s not all. Up until now Google didn’t license the TPUs to anyone. But they are now going to sell additional GCP compute instances with TPUs to Anthropic (Claude).", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.004729415422585759, "ret_signed_m1d": -0.004729415422585759, "alpha_spy_m1d": 0.0011655901203574404, "alpha_c_m1d": -0.008113413201144115, "bench_spy_m1d": -0.005895005542943199, "bench_c_m1d": 0.0033839977785583564, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.026721386943296954, "ret_signed_p1d": 0.026721386943296954, "alpha_spy_p1d": 0.018548832248816538, "alpha_c_p1d": 0.024118327143994867, "bench_spy_p1d": 0.008172554694480416, "bench_c_p1d": 0.0026030597993020876, "ret_p1w": 0.11102355277682707, "ret_signed_p1w": 0.11102355277682707, "alpha_spy_p1w": 0.09901028489184593, "alpha_c_p1w": 0.1190929780362664, "bench_spy_p1w": 0.012013267884981138, "bench_c_p1w": -0.008069425259439322, "ret_p1m": 0.18097978298280548, "ret_signed_p1m": 0.18097978298280548, "alpha_spy_p1m": 0.19992995201028074, "alpha_c_p1m": 0.21004702801517228, "bench_spy_p1m": -0.01895016902747526, "bench_c_p1m": -0.029067245032366795, "ret_p3m": 0.30475647026498076, "ret_signed_p3m": 0.30475647026498076, "alpha_spy_p3m": 0.276091653108818, "alpha_c_p3m": 0.2928142178597606, "bench_spy_p3m": 0.02866481715616276, "bench_c_p3m": 0.011942252405220177, "ret_p6m": 0.30421549392862834, "ret_signed_p6m": 0.30421549392862834, "alpha_spy_p6m": 0.25013513009241883, "alpha_c_p6m": 0.2810972314892468, "bench_spy_p6m": 0.05408036383620951, "bench_c_p6m": 0.02311826243938153, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.18097978298280548, "alpha_spy_stated": 0.19992995201028074, "alpha_c_stated": 0.21004702801517228, "price_path": [-0.2384, -0.2265, -0.2225, -0.2406, -0.252, -0.2292, -0.2309, -0.2246, -0.2232, -0.2042, -0.206, -0.1961, -0.2005, -0.1974, -0.1931, -0.1956, -0.2027, -0.2117, -0.21, -0.186, -0.1764, -0.1812, -0.1801, -0.1638, -0.1592, -0.1592, -0.1653, -0.09, -0.0839, -0.074, -0.0771, -0.0543, -0.0558, -0.051, -0.0487, -0.0078, -0.0091, -0.0153, -0.0055, 0.006, -0.0033, -0.0055, -0.0233, -0.0282, -0.0258, -0.0369, -0.0401, -0.0323, -0.0288, -0.0287, -0.0087, -0.026, -0.0326, -0.0454, -0.064, -0.0358, -0.0297, -0.008, -0.0073, 0.0002, 0.013, -0.0094, -0.0047, 0.0, 0.0267, 0.0638, 0.0579, 0.0845, 0.111, 0.1107, 0.1198, 0.0959, 0.1223, 0.1246, 0.1024, 0.1453, 0.1498, 0.1328, 0.1001, 0.0916, 0.1256, 0.1231, 0.1547, 0.1429, 0.181, 0.2552, 0.2755, 0.2623, 0.2623, 0.2617, 0.242, 0.2455, 0.2636, 0.2548, 0.2694, 0.2401, 0.2531, 0.2659, 0.2372, 0.2246, 0.2199, 0.2136, 0.1755, 0.1979, 0.2171, 0.2278, 0.245, 0.2449, 0.2421, 0.2399, 0.2405, 0.2376, 0.2435, 0.2514, 0.2405, 0.2716, 0.2857, 0.2981, 0.3122, 0.3268, 0.3263, 0.3139, 0.3028, 0.3028, 0.2705, 0.2951, 0.3048, 0.2953, 0.3156, 0.3212, 0.3262, 0.3356, 0.3351, 0.3602, 0.3436, 0.3146, 0.3067, 0.2742, 0.2794, 0.2566, 0.2278, 0.2201, 0.2069, 0.2069, 0.1943, 0.1987, 0.1972, 0.2419, 0.2292, 0.2262, 0.2345, 0.2113, 0.2282, 0.2082, 0.1972, 0.1967, 0.1867, 0.1764, 0.2077, 0.2113, 0.2172, 0.1966, 0.1897, 0.2014, 0.2211, 0.2088, 0.2066, 0.1792, 0.1801, 0.1413, 0.1429, 0.108, 0.0804, 0.078, 0.1321, 0.1638, 0.1621, 0.1621, 0.1747, 0.1995, 0.2421, 0.2486, 0.246, 0.2598, 0.3046, 0.32, 0.3133, 0.3395, 0.3237, 0.3042]}
{"unit_id": "orig:1981457344384184439", "ticker_idx": 0, "ts": "2025-10-23T20:26:59+00:00", "symbol": "NFLX", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "This is a classic example of a quality stock being in a temporary drawdown.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish NFLX: 16% ATH drawdown driven by one-time Brazil tax; ex-tax EPS would have beaten by 4.5%, making this a temporary overreaction buying opportunity.", "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 Netflix plunged 10% this week.\n\nThis reminds me of the market overreaction after ASML’s earnings.\n\n$ASML stock dropped -16%, and is +45% since.\n\nNetflix is down 16% from its ATH right now.\n\nAll of this because they got hit with a one-time tax from Brazil for $619Mn.\n\nHere’s a back of the envelope evaluation on Netflix:\n\nEPS: $5.87\nTax = $619 Mn\nShares = 435 Mn\nEffect of tax/ share = 619,000,000/ 435,000,000 = $1.42\nEPS without tax = $5.87 + $1.42 = $7.29\n\nWithout the tax break, Netflix would’ve had a 4.5% beat on the EPS.\n\nThis is a classic example of a quality stock being in a temporary drawdown.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.017265155971907697, "ret_signed_m1d": 0.017265155971907697, "alpha_spy_m1d": 0.0253714614415671, "alpha_c_m1d": 0.019861457443222874, "bench_spy_m1d": -0.008106305469659403, "bench_c_m1d": -0.0025963014713151766, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.00011875953987927623, 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{"unit_id": "quote:1981472953159340329", "ticker_idx": 0, "ts": "2025-10-23T21:29:00+00:00", "symbol": "GOOG", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "This is so incredibly, undeniably, inevitably bullish $GOOG $GOOGL", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Bullish Google on Anthropic's ~1M TPU deal securing over a gigawatt of capacity in 2026.", "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": "This is so incredibly, undeniably, inevitably bullish $GOOG $GOOGL", "reply_text": null, "parent_text": null, "quoted_text": "Today, we announced that we plan to expand our use of Google TPUs, securing approximately one million TPUs and more than a gigawatt of capacity in 2026.", "parent_author": null, "ret_m1d": -0.026025937789072917, "ret_signed_m1d": -0.026025937789072917, "alpha_spy_m1d": -0.017919632319413514, "alpha_c_m1d": -0.02342963631775774, "bench_spy_m1d": -0.008106305469659403, "bench_c_m1d": -0.0025963014713151766, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.03615975364370527, "ret_signed_p1d": 0.03615975364370527, "alpha_spy_p1d": 0.02436208915092064, "alpha_c_p1d": 0.02222637790147175, "bench_spy_p1d": 0.011797664492784632, "bench_c_p1d": 0.013933375742233522, "ret_p1w": 0.08180106959253108, "ret_signed_p1w": 0.08180106959253108, "alpha_spy_p1w": 0.07469895407842775, "alpha_c_p1w": 0.08820524435522026, "bench_spy_p1w": 0.007102115514103335, "bench_c_p1w": -0.006404174762689174, "ret_p1m": 0.22248665532901235, "ret_signed_p1m": 0.22248665532901235, "alpha_spy_p1m": 0.23506706276606992, "alpha_c_p1m": 0.24446850567001133, "bench_spy_p1m": -0.012580407437057572, "bench_c_p1m": -0.021981850340998976, "ret_p3m": 0.2615419358420543, "ret_signed_p3m": 0.2615419358420543, "alpha_spy_p3m": 0.2408456817222948, "alpha_c_p3m": 0.2460625318301226, "bench_spy_p3m": 0.020696254119759505, "bench_c_p3m": 0.015479404011931708, "ret_p6m": 0.2981783498536861, "ret_signed_p6m": 0.2981783498536861, "alpha_spy_p6m": 0.2420548447573152, "alpha_c_p6m": 0.2714452858088736, "bench_spy_p6m": 0.056123505096370874, "bench_c_p6m": 0.02673306404481246, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.22248665532901235, "alpha_spy_stated": 0.23506706276606992, "alpha_c_stated": 0.24446850567001133, "price_path": [-0.2467, -0.2428, -0.2603, -0.2715, -0.2493, -0.2509, -0.2448, -0.2434, -0.2249, -0.2267, -0.217, -0.2213, -0.2183, -0.2141, -0.2165, -0.2234, -0.2322, -0.2306, -0.2072, -0.1978, -0.2025, -0.2015, -0.1855, -0.1811, -0.1811, -0.187, -0.1137, -0.1077, -0.0981, -0.1011, -0.079, -0.0804, -0.0757, -0.0734, -0.0336, -0.0349, -0.0409, -0.0314, -0.0202, -0.0293, -0.0314, -0.0487, -0.0535, -0.0512, -0.062, -0.0651, -0.0575, -0.054, -0.054, -0.0345, -0.0514, -0.0578, -0.0702, -0.0884, -0.0609, -0.055, -0.0338, -0.0331, -0.0258, -0.0134, -0.0352, -0.0306, -0.026, 0.0, 0.0362, 0.0304, 0.0563, 0.0821, 0.0818, 0.0906, 0.0674, 0.093, 0.0953, 0.0737, 0.1155, 0.1199, 0.1033, 0.0714, 0.0632, 0.0963, 0.0939, 0.1247, 0.1131, 0.1502, 0.2225, 0.2423, 0.2294, 0.2294, 0.2288, 0.2096, 0.2131, 0.2307, 0.2222, 0.2364, 0.2078, 0.2205, 0.233, 0.205, 0.1927, 0.1881, 0.182, 0.1449, 0.1667, 0.1854, 0.1959, 0.2126, 0.2125, 0.2098, 0.2076, 0.2082, 0.2053, 0.2112, 0.2189, 0.2082, 0.2385, 0.2522, 0.2643, 0.2781, 0.2923, 0.2918, 0.2797, 0.2689, 0.2689, 0.2375, 0.2613, 0.2708, 0.2615, 0.2814, 0.2868, 0.2917, 0.3008, 0.3003, 0.3248, 0.3087, 0.2804, 0.2727, 0.2411, 0.2461, 0.2239, 0.1959, 0.1883, 0.1755, 0.1755, 0.1632, 0.1675, 0.166, 0.2096, 0.1972, 0.1943, 0.2024, 0.1798, 0.1962, 0.1768, 0.166, 0.1656, 0.1558, 0.1458, 0.1763, 0.1798, 0.1855, 0.1655, 0.1588, 0.1701, 0.1893, 0.1774, 0.1752, 0.1485, 0.1494, 0.1116, 0.1131, 0.0791, 0.0523, 0.0499, 0.1026, 0.1335, 0.1319, 0.1319, 0.1442, 0.1683, 0.2098, 0.2161, 0.2136, 0.227, 0.2707, 0.2856, 0.2791, 0.3046, 0.2892, 0.2703, 0.2982]}
{"unit_id": "thread:1981833090340421983", "ticker_idx": 0, "ts": "2025-10-24T21:20:04+00:00", "symbol": "GOOGL", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Google will dominate the AI ecosystem as it is the only company that controls all three pillars of the ecosystem", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Long GOOGL: dominates AI ecosystem by controlling hardware (TPUs), foundation models (Gemini), and distribution (Cloud/Search), with a valuation model supporting the thesis.", "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": "self_thread", "lang": "en", "tweet_text": "$GOOG $GOOGL\n\nGoogle's Right to Win in the AI Ecosystem\n\nGoogle will dominate the AI ecosystem as it is the only company that controls all three pillars of the ecosystem:\n\n1) Infrastructure (Hardware): Google makes its own semiconductor chips. This reduces its reliance and spend on Nvidia chips and enables them to serve customers at a lower cost.\n\n2) The Brains (Foundation Models): Google’s Gemini model is consistently top-ranked in multiple benchmarks.\n\n3) The Reach (Distribution and Development Platforms): Alphabet has unmatched reach to both consumers via the Gemini app and web traffic and to businesses through Google Cloud.\n\nThis chart aptly shows why Alphabet has a unique advantage which no other company can match:\n\nNow that Google is reaching ATHs, my thesis is coming true.\n\nI have a 2-part deep-dive with a valuation model that fairly values Google through a QGV framework.\n\n---\n\nRead both parts here: \nhttps://reboundcapital.substack.com/p/deep-dive-alphabet-inc-goog?selection=607eb869-3ff4-421d-86f3-7a2d90611b8f", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.034723231611154315, "ret_signed_m1d": -0.034723231611154315, "alpha_spy_m1d": -0.02306312909579744, "alpha_c_m1d": -0.020981326989429228, "bench_spy_m1d": -0.011660102515356874, "bench_c_m1d": -0.013741904621725087, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.006684602498601033, "ret_signed_p1d": -0.006684602498601033, "alpha_spy_p1d": -0.009340618517680865, "alpha_c_p1d": -0.0017340684139044438, "bench_spy_p1d": 0.002656016019079832, "bench_c_p1d": -0.0049505340846965895, "ret_p1w": 0.05366373358430776, "ret_signed_p1w": 0.05366373358430776, "alpha_spy_p1w": 0.05643641169876812, "alpha_c_p1w": 0.08413494768077945, "bench_spy_p1w": -0.0027726781144603585, "bench_c_p1w": -0.030471214096471688, "ret_p1m": 0.20117364931648218, "ret_signed_p1m": 0.20117364931648218, "alpha_spy_p1m": 0.21608807645709693, "alpha_c_p1m": 0.22558469740513187, "bench_spy_p1m": -0.01491442714061475, "bench_c_p1m": -0.02441104808864969, "ret_p3m": 0.23845223733075582, "ret_signed_p3m": 0.23845223733075582, "alpha_spy_p3m": 0.2245346020274226, "alpha_c_p3m": 0.22999151568560672, "bench_spy_p3m": 0.013917635303333231, "bench_c_p3m": 0.008460721645149105, "ret_p6m": 0.2602608296329134, "ret_signed_p6m": 0.2602608296329134, "alpha_spy_p6m": 0.22050258510736542, "alpha_c_p6m": 0.2518463015829533, "bench_spy_p6m": 0.03975824452554799, "bench_c_p6m": 0.008414528049960124, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.20117364931648218, "alpha_spy_stated": 0.21608807645709693, "alpha_c_stated": 0.22558469740513187, "price_path": [-0.2708, -0.288, -0.2982, -0.2763, -0.2777, -0.2724, -0.2708, -0.2526, -0.2542, -0.2455, -0.2506, -0.247, -0.2434, -0.2449, -0.2521, -0.2604, -0.2588, -0.2353, -0.2264, -0.2314, -0.2302, -0.2147, -0.21, -0.21, -0.2158, -0.1442, -0.1381, -0.128, -0.1308, -0.1101, -0.1118, -0.1073, -0.1057, -0.0656, -0.0673, -0.0733, -0.064, -0.054, -0.0622, -0.0654, -0.0822, -0.0872, -0.0844, -0.0937, -0.0972, -0.0905, -0.0876, -0.0888, -0.07, -0.0873, -0.0915, -0.103, -0.1214, -0.0933, -0.0885, -0.0677, -0.0661, -0.0593, -0.0472, -0.0699, -0.0653, -0.0601, -0.0347, 0.0, -0.0067, 0.0197, 0.0453, 0.0443, 0.0537, 0.0307, 0.0559, 0.0575, 0.0355, 0.0774, 0.0819, 0.0648, 0.0345, 0.0265, 0.0585, 0.0557, 0.0874, 0.0749, 0.1129, 0.1831, 0.2012, 0.1882, 0.1882, 0.1891, 0.1694, 0.1728, 0.187, 0.1796, 0.1931, 0.1658, 0.1783, 0.19, 0.161, 0.1494, 0.1454, 0.1393, 0.1027, 0.124, 0.1415, 0.1512, 0.1682, 0.1672, 0.1651, 0.1652, 0.1663, 0.1632, 0.1712, 0.1763, 0.1681, 0.1965, 0.2094, 0.221, 0.2332, 0.2485, 0.248, 0.2367, 0.2263, 0.2263, 0.1966, 0.2203, 0.2283, 0.2186, 0.2385, 0.2432, 0.2487, 0.257, 0.2561, 0.2772, 0.2624, 0.2376, 0.231, 0.1998, 0.2052, 0.1839, 0.1556, 0.1483, 0.1361, 0.1361, 0.1224, 0.1272, 0.1254, 0.1705, 0.1576, 0.1554, 0.1628, 0.1423, 0.1586, 0.1391, 0.1282, 0.1265, 0.1181, 0.1094, 0.1393, 0.1418, 0.148, 0.1288, 0.1241, 0.1363, 0.1562, 0.1442, 0.1422, 0.1194, 0.1233, 0.0801, 0.0819, 0.0447, 0.0202, 0.0171, 0.0694, 0.1059, 0.0999, 0.0999, 0.1156, 0.1359, 0.18, 0.1844, 0.1797, 0.1949, 0.238, 0.2537, 0.2496, 0.2706, 0.2548, 0.2357, 0.2619, 0.2603]}
{"unit_id": "orig:1983535365551235149", "ticker_idx": 0, "ts": "2025-10-29T14:04:18+00:00", "symbol": "GOOGL", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": false, "explicit_audit": "flipped_to_implicit", "polarity_reversed": false, "quote": "My price target remains $302/share", "tweet_type": "prediction", "timeline": "unspecified", "summary": "Maintains $302/share price target on Google ahead of Q3 earnings; bullish on cloud growth and AI monetization.", "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": "original", "lang": "en", "tweet_text": "Google reports Q3 today after market close. \n\nAll eyes will be on cloud revenue growth and AI market share gains/monetization. \n\nMy price target remains $302/share https://t.co/USmzQzJWqf", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.025858671395341926, "ret_signed_m1d": -0.025858671395341926, "alpha_spy_m1d": -0.025378531401811233, "alpha_c_m1d": -0.028352456792100078, "bench_spy_m1d": -0.0004801399935306927, "bench_c_m1d": 0.0024937853967581525, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.025166653841215192, "ret_signed_p1d": 0.025166653841215192, "alpha_spy_p1d": 0.036164751455475375, "alpha_c_p1d": 0.04210704992080183, "bench_spy_p1d": -0.010998097614260183, "bench_c_p1d": -0.01694039607958664, "ret_p1w": 0.03547352810126925, "ret_signed_p1w": 0.03547352810126925, "alpha_spy_p1w": 0.04974495751554231, "alpha_c_p1w": 0.060153198818323594, "bench_spy_p1w": -0.014271429414273062, "bench_c_p1w": -0.024679670717054347, "ret_p1m": 0.1652765993272931, "ret_signed_p1m": 0.1652765993272931, "alpha_spy_p1m": 0.17649296680995308, "alpha_c_p1m": 0.18101306704942177, "bench_spy_p1m": -0.011216367482659972, "bench_c_p1m": -0.015736467722128666, "ret_p3m": 0.22456849409117896, "ret_signed_p3m": 0.22456849409117896, "alpha_spy_p3m": 0.2098973210499966, "alpha_c_p3m": 0.21736266576980046, "bench_spy_p3m": 0.014671173041182373, "bench_c_p3m": 0.007205828321378505, "ret_p6m": 0.2776920334792168, "ret_signed_p6m": 0.2776920334792168, "alpha_spy_p6m": 0.2313542715117296, "alpha_c_p6m": 0.2754073765153857, "bench_spy_p6m": 0.04633776196748718, "bench_c_p6m": 0.0022846569638310665, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.1652765993272931, "alpha_spy_stated": 0.17649296680995308, "alpha_c_stated": 0.18101306704942177, "price_path": [-0.3118, -0.2903, -0.2916, -0.2865, -0.2849, -0.2671, -0.2686, -0.2601, -0.2651, -0.2615, -0.258, -0.2595, -0.2665, -0.2747, -0.2731, -0.2501, -0.2413, -0.2463, -0.245, -0.2299, -0.2253, -0.2253, -0.2309, -0.1607, -0.1547, -0.1449, -0.1476, -0.1273, -0.1289, -0.1246, -0.123, -0.0836, -0.0853, -0.0912, -0.0821, -0.0723, -0.0803, -0.0834, -0.0999, -0.1048, -0.1021, -0.1112, -0.1146, -0.1081, -0.1052, -0.1064, -0.0879, -0.1049, -0.1091, -0.1203, -0.1384, -0.1108, -0.1061, -0.0857, -0.0842, -0.0775, -0.0656, -0.0878, -0.0833, -0.0783, -0.0534, -0.0193, -0.0259, 0.0, 0.0252, 0.0241, 0.0333, 0.0108, 0.0355, 0.0371, 0.0155, 0.0566, 0.061, 0.0442, 0.0146, 0.0067, 0.0381, 0.0354, 0.0664, 0.0542, 0.0914, 0.1603, 0.178, 0.1653, 0.1653, 0.1661, 0.1468, 0.1502, 0.1641, 0.1568, 0.1701, 0.1433, 0.1556, 0.167, 0.1386, 0.1272, 0.1233, 0.1173, 0.0814, 0.1023, 0.1194, 0.129, 0.1456, 0.1447, 0.1426, 0.1428, 0.1438, 0.1407, 0.1485, 0.1536, 0.1456, 0.1734, 0.186, 0.1975, 0.2094, 0.2244, 0.2239, 0.2128, 0.2027, 0.2027, 0.1735, 0.1968, 0.2046, 0.1951, 0.2145, 0.2192, 0.2246, 0.2327, 0.2318, 0.2526, 0.2381, 0.2137, 0.2072, 0.1766, 0.182, 0.161, 0.1333, 0.1261, 0.1142, 0.1142, 0.1007, 0.1055, 0.1037, 0.1479, 0.1352, 0.1331, 0.1403, 0.1202, 0.1362, 0.1171, 0.1064, 0.1047, 0.0965, 0.0879, 0.1173, 0.1198, 0.1258, 0.107, 0.1024, 0.1144, 0.1339, 0.1221, 0.1201, 0.0977, 0.1016, 0.0592, 0.061, 0.0245, 0.0005, -0.0025, 0.0487, 0.0846, 0.0787, 0.0787, 0.0941, 0.114, 0.1573, 0.1615, 0.157, 0.1718, 0.2141, 0.2295, 0.2255, 0.2461, 0.2306, 0.2119, 0.2375, 0.2359, 0.256, 0.2777]}
{"unit_id": "orig:1983623076064719224", "ticker_idx": 0, "ts": "2025-10-29T19:52:49+00:00", "symbol": "GOOGL", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Google has just proven why their AI stack trumps all. This deal also showcases how far ahead Google's models are compared to the market. majorly bullish for both Google and Adobe", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Adobe-Google partnership bullish for both: validates Google's AI stack lead and removes disruption overhang on Adobe.", "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": "original", "lang": "en", "tweet_text": "$GOOG $GOOGL $ADBE\n\nGoogle has just proven why their AI stack trumps all.\n\nAdobe has partnered with Google to create a one-stop solution for all creators.\n\nThis deal runs through Google’s entire stack:\n\n1. Gemini and Veo : Adobe customers will gain access to Google’s latest AI models directly within Adobe’s creative apps.\n\n2. Vertex AI : Adobe’s enterprise customers will be able to use Google’s AI models on Google Cloud’s Vertex AI platform and apply their proprietary data for customization through Adobe Firefly Foundry.\n\nThis is majorly bullish for both Google and Adobe:\n\n1. This can put to rest the concerns investors had about Adobe getting disrupted by AI, and\n\n2. This deal also showcases how far ahead Google’s models are compared to the market.\n\nI’ve published detailed deep dives with my investment thesis on both the companies.\n\nI’m also covering Google’s earnings in detail today, in my earnings review. Get subscribed to my newsletter read that if you haven’t already!\n\nhttps://t.co/WUwYoTwDT0", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.025858671395341926, "ret_signed_m1d": -0.025858671395341926, "alpha_spy_m1d": -0.025378531401811233, "alpha_c_m1d": -0.028352456792100078, "bench_spy_m1d": -0.0004801399935306927, "bench_c_m1d": 0.0024937853967581525, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.025166653841215192, "ret_signed_p1d": 0.025166653841215192, "alpha_spy_p1d": 0.036164751455475375, "alpha_c_p1d": 0.04210704992080183, "bench_spy_p1d": -0.010998097614260183, "bench_c_p1d": -0.01694039607958664, "ret_p1w": 0.03547352810126925, "ret_signed_p1w": 0.03547352810126925, "alpha_spy_p1w": 0.04974495751554231, "alpha_c_p1w": 0.060153198818323594, "bench_spy_p1w": -0.014271429414273062, "bench_c_p1w": -0.024679670717054347, "ret_p1m": 0.1652765993272931, "ret_signed_p1m": 0.1652765993272931, "alpha_spy_p1m": 0.17649296680995308, "alpha_c_p1m": 0.18101306704942177, "bench_spy_p1m": -0.011216367482659972, "bench_c_p1m": -0.015736467722128666, "ret_p3m": 0.22456849409117896, "ret_signed_p3m": 0.22456849409117896, "alpha_spy_p3m": 0.2098973210499966, "alpha_c_p3m": 0.21736266576980046, "bench_spy_p3m": 0.014671173041182373, "bench_c_p3m": 0.007205828321378505, "ret_p6m": 0.2776920334792168, "ret_signed_p6m": 0.2776920334792168, "alpha_spy_p6m": 0.2313542715117296, "alpha_c_p6m": 0.2754073765153857, "bench_spy_p6m": 0.04633776196748718, "bench_c_p6m": 0.0022846569638310665, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.1652765993272931, "alpha_spy_stated": 0.17649296680995308, "alpha_c_stated": 0.18101306704942177, "price_path": [-0.3118, -0.2903, -0.2916, -0.2865, -0.2849, -0.2671, -0.2686, -0.2601, -0.2651, -0.2615, -0.258, -0.2595, -0.2665, -0.2747, -0.2731, -0.2501, -0.2413, -0.2463, -0.245, -0.2299, -0.2253, -0.2253, -0.2309, -0.1607, -0.1547, -0.1449, -0.1476, -0.1273, -0.1289, -0.1246, -0.123, -0.0836, -0.0853, -0.0912, -0.0821, -0.0723, -0.0803, -0.0834, -0.0999, -0.1048, -0.1021, -0.1112, -0.1146, -0.1081, -0.1052, -0.1064, -0.0879, -0.1049, -0.1091, -0.1203, -0.1384, -0.1108, -0.1061, -0.0857, -0.0842, -0.0775, -0.0656, -0.0878, -0.0833, -0.0783, -0.0534, -0.0193, -0.0259, 0.0, 0.0252, 0.0241, 0.0333, 0.0108, 0.0355, 0.0371, 0.0155, 0.0566, 0.061, 0.0442, 0.0146, 0.0067, 0.0381, 0.0354, 0.0664, 0.0542, 0.0914, 0.1603, 0.178, 0.1653, 0.1653, 0.1661, 0.1468, 0.1502, 0.1641, 0.1568, 0.1701, 0.1433, 0.1556, 0.167, 0.1386, 0.1272, 0.1233, 0.1173, 0.0814, 0.1023, 0.1194, 0.129, 0.1456, 0.1447, 0.1426, 0.1428, 0.1438, 0.1407, 0.1485, 0.1536, 0.1456, 0.1734, 0.186, 0.1975, 0.2094, 0.2244, 0.2239, 0.2128, 0.2027, 0.2027, 0.1735, 0.1968, 0.2046, 0.1951, 0.2145, 0.2192, 0.2246, 0.2327, 0.2318, 0.2526, 0.2381, 0.2137, 0.2072, 0.1766, 0.182, 0.161, 0.1333, 0.1261, 0.1142, 0.1142, 0.1007, 0.1055, 0.1037, 0.1479, 0.1352, 0.1331, 0.1403, 0.1202, 0.1362, 0.1171, 0.1064, 0.1047, 0.0965, 0.0879, 0.1173, 0.1198, 0.1258, 0.107, 0.1024, 0.1144, 0.1339, 0.1221, 0.1201, 0.0977, 0.1016, 0.0592, 0.061, 0.0245, 0.0005, -0.0025, 0.0487, 0.0846, 0.0787, 0.0787, 0.0941, 0.114, 0.1573, 0.1615, 0.157, 0.1718, 0.2141, 0.2295, 0.2255, 0.2461, 0.2306, 0.2119, 0.2375, 0.2359, 0.256, 0.2777]}
{"unit_id": "orig:1983623076064719224", "ticker_idx": 1, "ts": "2025-10-29T19:52:49+00:00", "symbol": "ADBE", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "This can put to rest the concerns investors had about Adobe getting disrupted by AI. majorly bullish for both Google and Adobe", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Adobe-Google partnership bullish for both: validates Google's AI stack lead and removes disruption overhang on Adobe.", "resolved_tickers": ["ADBE"], "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": "$GOOG $GOOGL $ADBE\n\nGoogle has just proven why their AI stack trumps all.\n\nAdobe has partnered with Google to create a one-stop solution for all creators.\n\nThis deal runs through Google’s entire stack:\n\n1. Gemini and Veo : Adobe customers will gain access to Google’s latest AI models directly within Adobe’s creative apps.\n\n2. Vertex AI : Adobe’s enterprise customers will be able to use Google’s AI models on Google Cloud’s Vertex AI platform and apply their proprietary data for customization through Adobe Firefly Foundry.\n\nThis is majorly bullish for both Google and Adobe:\n\n1. This can put to rest the concerns investors had about Adobe getting disrupted by AI, and\n\n2. This deal also showcases how far ahead Google’s models are compared to the market.\n\nI’ve published detailed deep dives with my investment thesis on both the companies.\n\nI’m also covering Google’s earnings in detail today, in my earnings review. Get subscribed to my newsletter read that if you haven’t already!\n\nhttps://t.co/WUwYoTwDT0", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.0652637757253276, "ret_signed_m1d": 0.0652637757253276, "alpha_spy_m1d": 0.06574391571885829, "alpha_c_m1d": 0.06574391571885829, "bench_spy_m1d": -0.0004801399935306927, "bench_c_m1d": -0.0004801399935306927, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.004084546683965851, "ret_signed_p1d": 0.004084546683965851, "alpha_spy_p1d": 0.015082644298226033, "alpha_c_p1d": 0.015082644298226033, "bench_spy_p1d": -0.010998097614260183, "bench_c_p1d": -0.010998097614260183, "ret_p1w": -0.006896308155110886, "ret_signed_p1w": -0.006896308155110886, "alpha_spy_p1w": 0.007375121259162176, "alpha_c_p1w": 0.007375121259162176, "bench_spy_p1w": -0.014271429414273062, "bench_c_p1w": -0.014271429414273062, "ret_p1m": -0.06020244249026918, "ret_signed_p1m": -0.06020244249026918, "alpha_spy_p1m": -0.04898607500760921, "alpha_c_p1m": -0.04898607500760921, "bench_spy_p1m": -0.011216367482659972, "bench_c_p1m": -0.011216367482659972, "ret_p3m": -0.11330136872960661, "ret_signed_p3m": -0.11330136872960661, "alpha_spy_p3m": -0.12797254177078898, "alpha_c_p3m": -0.12797254177078898, "bench_spy_p3m": 0.014671173041182373, "bench_c_p3m": 0.014671173041182373, "ret_p6m": -0.29168884172661613, "ret_signed_p6m": -0.29168884172661613, "alpha_spy_p6m": -0.3380266036941033, "alpha_c_p6m": -0.3380266036941033, "bench_spy_p6m": 0.04633776196748718, "bench_c_p6m": 0.04633776196748718, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.06020244249026918, "alpha_spy_stated": -0.04898607500760921, "alpha_c_stated": -0.04898607500760921, "price_path": [0.0294, 0.0029, 0.0026, 0.023, 0.0012, 0.0094, -0.0125, 0.0017, 0.0391, 0.0317, 0.0503, 0.0574, 0.0686, 0.0461, 0.0461, 0.0717, 0.075, 0.0505, 0.0547, 0.0477, 0.0558, 0.0558, 0.023, 0.0315, 0.0191, 0.0329, 0.0616, 0.0479, 0.0364, 0.0376, 0.034, 0.0273, 0.044, 0.0717, 0.0876, 0.083, 0.0776, 0.0708, 0.0456, 0.0482, 0.0666, 0.0638, 0.0441, 0.0173, 0.0403, 0.0263, 0.0363, 0.0309, 0.0323, 0.0284, -0.001, 0.0043, -0.0057, -0.0214, -0.0255, -0.0136, 0.0164, 0.0583, 0.048, 0.0481, 0.0464, 0.059, 0.0653, 0.0, 0.0041, 0.0073, -0.0012, -0.0074, -0.0069, -0.0311, -0.0323, -0.0267, -0.0137, -0.0024, -0.0126, -0.02, -0.0379, -0.0396, -0.0585, -0.0754, -0.0405, -0.0566, -0.0542, -0.0602, -0.0602, -0.0525, -0.0444, -0.0445, -0.0328, -0.027, 0.0249, 0.0037, 0.0191, 0.0156, 0.0372, 0.055, 0.0393, 0.0297, 0.0497, 0.0531, 0.0533, 0.0582, 0.0431, 0.0448, 0.0472, 0.0453, 0.0434, 0.0359, -0.0135, -0.0186, -0.0055, 0.0007, 0.0035, -0.0116, -0.0302, -0.0827, -0.0989, -0.1, -0.1235, -0.1235, -0.1406, -0.1291, -0.1129, -0.1089, -0.0981, -0.1197, -0.1133, -0.1368, -0.132, -0.1317, -0.1951, -0.1721, -0.2027, -0.2056, -0.21, -0.2166, -0.2389, -0.2231, -0.2187, -0.2187, -0.2291, -0.2211, -0.2328, -0.2346, -0.2699, -0.2447, -0.2369, -0.2333, -0.2233, -0.2278, -0.1979, -0.1916, -0.1661, -0.1605, -0.164, -0.1857, -0.1899, -0.2015, -0.2621, -0.2545, -0.2476, -0.2719, -0.2719, -0.2655, -0.267, -0.293, -0.2978, -0.287, -0.3049, -0.2863, -0.2805, -0.2856, -0.281, -0.281, -0.2767, -0.2892, -0.2917, -0.3194, -0.333, -0.2893, -0.3023, -0.2759, -0.2655, -0.2765, -0.2641, -0.2684, -0.2425, -0.2927, -0.2735, -0.2917]}
{"unit_id": "orig:1983995138079912158", "ticker_idx": 0, "ts": "2025-10-30T20:31:16+00:00", "symbol": "GOOG", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "I firmly believe ChatGPT won't be able to compete in this scenario. Every collab OpenAI makes with 3rd party vendors like Spotify or PayPal, Google can make too. But OpenAI can't do what Google's doing.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish GOOGL: 70% of Cloud customers on AI products, B2B distribution moat, and OpenAI can't replicate Google's enterprise upsell capabilities.", "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": "original", "lang": "en", "tweet_text": "$GOOG $GOOGL \n\nGoogle vs ChatGPT\n\n1/ 7B tokens per minute vs 6B/minute\n2/ 650M monthly users vs 800M weekly\n\nThis is what everyone saw. \n\nAnd everyone pointed out that ChatGPT is still miles ahead because of their weekly users surpassing Google's monthly. \n\nWhat most investors missed, was 70% of Google Cloud's customers use their AI products. \n\n70% paying customers. \n\nThese are B2B customers. Companies like Best Buy fully onto Google's stack. \n\nThis is the power of Google's distribution, and their ability to upsell through their moat. \n\nI firmly believe ChatGPT won't be able to compete in this scenario. \n\nEvery collab OpenAI makes with 3rd party vendors like Spotify or PayPal, Google can make too.\n\nBut OpenAI can't do what Google's doing. That's the difference. \n\nFull earnings breakdown for Google: [https://t.co/Bzt59mUqn9]", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.00028383528743147757, "ret_signed_m1d": 0.00028383528743147757, "alpha_spy_m1d": 0.0035531525366213623, "alpha_c_m1d": 0.004551769189406918, "bench_spy_m1d": -0.0032693172491898848, "bench_c_m1d": -0.00426793390197544, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.008161241011204412, "ret_signed_p1d": 0.008161241011204412, "alpha_spy_p1d": 0.006284410738521373, "alpha_c_p1d": 0.018787524051751103, "bench_spy_p1d": 0.0018768302726830388, "bench_c_p1d": -0.010626283040546691, "ret_p1w": -0.007522503114755885, "ret_signed_p1w": -0.007522503114755885, "alpha_spy_p1w": 0.008737013220461609, "alpha_c_p1w": 0.015994618006283323, "bench_spy_p1w": -0.016259516335217494, "bench_c_p1w": -0.02351712112103921, "ret_p1m": 0.11816043485822836, "ret_signed_p1m": 0.11816043485822836, "alpha_spy_p1m": 0.12078480317279305, "alpha_c_p1m": 0.11781208819731037, "bench_spy_p1m": -0.0026243683145646957, "bench_c_p1m": 0.0003483466609179864, "ret_p3m": 0.20201151985007937, "ret_signed_p3m": 0.20201151985007937, "alpha_spy_p3m": 0.18448412124998304, "alpha_c_p3m": 0.15272358535132136, "bench_spy_p3m": 0.017527398600096333, "bench_c_p3m": 0.04928793449875801, "ret_p6m": 0.23405517840447465, "ret_signed_p6m": 0.23405517840447465, "alpha_spy_p6m": 0.18483397138633317, "alpha_c_p6m": 0.2234085779359669, "bench_spy_p6m": 0.04922120701814148, "bench_c_p6m": 0.010646600468507739, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.11816043485822836, "alpha_spy_stated": 0.12078480317279305, "alpha_c_stated": 0.11781208819731037, "price_path": [-0.3076, -0.3019, -0.3006, -0.2836, -0.2852, -0.2762, -0.2802, -0.2774, -0.2736, -0.2758, -0.2821, -0.2903, -0.2888, -0.2671, -0.2585, -0.2628, -0.2619, -0.2471, -0.243, -0.243, -0.2485, -0.1807, -0.1752, -0.1663, -0.1691, -0.1486, -0.15, -0.1456, -0.1435, -0.1067, -0.1079, -0.1134, -0.1046, -0.0943, -0.1027, -0.1046, -0.1206, -0.1251, -0.1229, -0.1329, -0.1358, -0.1287, -0.1256, -0.1255, -0.1076, -0.1231, -0.129, -0.1406, -0.1573, -0.1319, -0.1264, -0.1068, -0.1062, -0.0995, -0.088, -0.1082, -0.1039, -0.0997, -0.0756, -0.0422, -0.0475, -0.0236, 0.0003, 0.0, 0.0082, -0.0133, 0.0104, 0.0125, -0.0075, 0.0311, 0.0352, 0.0199, -0.0096, -0.0172, 0.0134, 0.0111, 0.0396, 0.029, 0.0633, 0.13, 0.1484, 0.1365, 0.1365, 0.1359, 0.1182, 0.1214, 0.1377, 0.1298, 0.1429, 0.1165, 0.1282, 0.1398, 0.1138, 0.1026, 0.0983, 0.0927, 0.0583, 0.0785, 0.0958, 0.1054, 0.1209, 0.1208, 0.1183, 0.1163, 0.1169, 0.1142, 0.1196, 0.1267, 0.1169, 0.1448, 0.1576, 0.1687, 0.1814, 0.1946, 0.1941, 0.1829, 0.1729, 0.1729, 0.1439, 0.166, 0.1747, 0.1661, 0.1845, 0.1895, 0.194, 0.2025, 0.202, 0.2246, 0.2097, 0.1836, 0.1764, 0.1472, 0.1518, 0.1314, 0.1054, 0.0985, 0.0866, 0.0866, 0.0752, 0.0792, 0.0778, 0.1181, 0.1067, 0.104, 0.1115, 0.0906, 0.1058, 0.0878, 0.0778, 0.0775, 0.0684, 0.0592, 0.0873, 0.0906, 0.0959, 0.0774, 0.0711, 0.0817, 0.0994, 0.0883, 0.0863, 0.0617, 0.0625, 0.0276, 0.029, -0.0025, -0.0273, -0.0295, 0.0193, 0.0478, 0.0463, 0.0463, 0.0576, 0.0799, 0.1183, 0.1241, 0.1218, 0.1342, 0.1746, 0.1884, 0.1824, 0.2059, 0.1917, 0.1742, 0.2, 0.2001, 0.2163, 0.2384, 0.2347, 0.2341]}
{"unit_id": "orig:1984014448068325646", "ticker_idx": 0, "ts": "2025-10-30T21:48:00+00:00", "symbol": "GOOG", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Google will dominate search no matter what. Search grew ~15% YoY, and that should be signal enough for Google's future.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Long Google; AI mode dominance + 15% YoY search growth prove it will dominate search regardless of AI disruption fears.", "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": "original", "lang": "en", "tweet_text": "Here's something interesting: \n\n1/ TikTok took 9 months to reach 100 million monthly active users.\n\n2/ ChatGPT took ~2 months. \n\n3/ Threads took 5 days. \n\nBut Google beat all of them.\n\nGoogle's AI mode in search now has 75 million DAILY active users after one quarter. \n\nLet that sink in. \n\nDon't forget that just a few months ago, the most popular sentiment was that AI was going to disrupt Search entirely. \n\nGoogle flipped that sentiment around in just 2 quarters. \n\nAI mode and AI overview being such massive hits in such less time just proves what I've believed in for a good while now - Google will dominate search no matter what. \n\nSearch grew ~15% YoY, and that should be signal enough for Google's future.\n\nFull earnings review out now: \n[https://open.substack.com/pub/reboundcapital/p/earnings-review-unh-and-goog?r=5tpz56&utm_campaign=post&utm_medium=web&showWelcomeOnShare=false]\n\n$GOOG $GOOGL", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.00028383528743147757, "ret_signed_m1d": 0.00028383528743147757, "alpha_spy_m1d": 0.0035531525366213623, "alpha_c_m1d": 0.004551769189406918, "bench_spy_m1d": -0.0032693172491898848, "bench_c_m1d": -0.00426793390197544, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.008161241011204412, "ret_signed_p1d": 0.008161241011204412, "alpha_spy_p1d": 0.006284410738521373, "alpha_c_p1d": 0.018787524051751103, "bench_spy_p1d": 0.0018768302726830388, "bench_c_p1d": -0.010626283040546691, "ret_p1w": -0.007522503114755885, "ret_signed_p1w": -0.007522503114755885, "alpha_spy_p1w": 0.008737013220461609, "alpha_c_p1w": 0.015994618006283323, "bench_spy_p1w": -0.016259516335217494, "bench_c_p1w": -0.02351712112103921, "ret_p1m": 0.11816043485822836, "ret_signed_p1m": 0.11816043485822836, "alpha_spy_p1m": 0.12078480317279305, "alpha_c_p1m": 0.11781208819731037, "bench_spy_p1m": -0.0026243683145646957, "bench_c_p1m": 0.0003483466609179864, "ret_p3m": 0.20201151985007937, "ret_signed_p3m": 0.20201151985007937, "alpha_spy_p3m": 0.18448412124998304, "alpha_c_p3m": 0.15272358535132136, "bench_spy_p3m": 0.017527398600096333, "bench_c_p3m": 0.04928793449875801, "ret_p6m": 0.23405517840447465, "ret_signed_p6m": 0.23405517840447465, "alpha_spy_p6m": 0.18483397138633317, "alpha_c_p6m": 0.2234085779359669, "bench_spy_p6m": 0.04922120701814148, "bench_c_p6m": 0.010646600468507739, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.11816043485822836, "alpha_spy_stated": 0.12078480317279305, "alpha_c_stated": 0.11781208819731037, "price_path": [-0.3076, -0.3019, -0.3006, -0.2836, -0.2852, -0.2762, -0.2802, -0.2774, -0.2736, -0.2758, -0.2821, -0.2903, -0.2888, -0.2671, -0.2585, -0.2628, -0.2619, -0.2471, -0.243, -0.243, -0.2485, -0.1807, -0.1752, -0.1663, -0.1691, -0.1486, -0.15, -0.1456, -0.1435, -0.1067, -0.1079, -0.1134, -0.1046, -0.0943, -0.1027, -0.1046, -0.1206, -0.1251, -0.1229, -0.1329, -0.1358, -0.1287, -0.1256, -0.1255, -0.1076, -0.1231, -0.129, -0.1406, -0.1573, -0.1319, -0.1264, -0.1068, -0.1062, -0.0995, -0.088, -0.1082, -0.1039, -0.0997, -0.0756, -0.0422, -0.0475, -0.0236, 0.0003, 0.0, 0.0082, -0.0133, 0.0104, 0.0125, -0.0075, 0.0311, 0.0352, 0.0199, -0.0096, -0.0172, 0.0134, 0.0111, 0.0396, 0.029, 0.0633, 0.13, 0.1484, 0.1365, 0.1365, 0.1359, 0.1182, 0.1214, 0.1377, 0.1298, 0.1429, 0.1165, 0.1282, 0.1398, 0.1138, 0.1026, 0.0983, 0.0927, 0.0583, 0.0785, 0.0958, 0.1054, 0.1209, 0.1208, 0.1183, 0.1163, 0.1169, 0.1142, 0.1196, 0.1267, 0.1169, 0.1448, 0.1576, 0.1687, 0.1814, 0.1946, 0.1941, 0.1829, 0.1729, 0.1729, 0.1439, 0.166, 0.1747, 0.1661, 0.1845, 0.1895, 0.194, 0.2025, 0.202, 0.2246, 0.2097, 0.1836, 0.1764, 0.1472, 0.1518, 0.1314, 0.1054, 0.0985, 0.0866, 0.0866, 0.0752, 0.0792, 0.0778, 0.1181, 0.1067, 0.104, 0.1115, 0.0906, 0.1058, 0.0878, 0.0778, 0.0775, 0.0684, 0.0592, 0.0873, 0.0906, 0.0959, 0.0774, 0.0711, 0.0817, 0.0994, 0.0883, 0.0863, 0.0617, 0.0625, 0.0276, 0.029, -0.0025, -0.0273, -0.0295, 0.0193, 0.0478, 0.0463, 0.0463, 0.0576, 0.0799, 0.1183, 0.1241, 0.1218, 0.1342, 0.1746, 0.1884, 0.1824, 0.2059, 0.1917, 0.1742, 0.2, 0.2001, 0.2163, 0.2384, 0.2347, 0.2341]}
{"unit_id": "orig:1984246020201488741", "ticker_idx": 0, "ts": "2025-10-31T13:08:11+00:00", "symbol": "TPL", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "The business model is excellent, and the potential is entirely unrealized.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish TPL: excellent business model with unrealized potential, currently in a 45% drawdown seen as opportunity after 100x 15-year run.", "resolved_tickers": ["TPL"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLE", "bench_c_reason": "industry='Oil & Gas E&P'", "bench_c_industry": "Oil & Gas E&P", "unit_kind": "original", "lang": "en", "tweet_text": "The chart below is NOT a meme coin\n\nThis company has generated 100x returns in the last 15 years.\n\nThat’s 4x of Apple.\n\nAnd they’re currently in a 45% drawdown (not uncommon for this stock)\n\nThis is after the stock tripled in 2024 (+233%)\n\n$TPL Texas Pacific Land Corp is one of the most polarizing companies I’ve looked into, and simultaneously one of our most requested companies recently.\n\nThe business model is excellent, and the potential is entirely unrealized.\n\nHere’s my 2000+ word deep dive, complete with our proprietary quality rubric, our DCF model and our stock rating:\n\n[ https://t.co/dJh3DIt1dh ]", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.015773036729986645, "ret_signed_m1d": -0.015773036729986645, "alpha_spy_m1d": -0.01250371948079676, "alpha_c_m1d": -0.008511075404743496, "bench_spy_m1d": -0.0032693172491898848, "bench_c_m1d": -0.007261961325243149, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.019843541848339252, "ret_signed_p1d": -0.019843541848339252, "alpha_spy_p1d": -0.02172037212102229, "alpha_c_p1d": -0.01995701414304285, "bench_spy_p1d": 0.0018768302726830388, "bench_c_p1d": 0.00011347229470359821, "ret_p1w": 0.040609318175282016, "ret_signed_p1w": 0.040609318175282016, "alpha_spy_p1w": 0.05686883451049951, "alpha_c_p1w": 0.024610167181717824, "bench_spy_p1w": -0.016259516335217494, "bench_c_p1w": 0.015999150993564193, "ret_p1m": -0.0933416327937222, "ret_signed_p1m": -0.0933416327937222, "alpha_spy_p1m": -0.09071726447915751, "alpha_c_p1m": -0.1295381441490948, "bench_spy_p1m": -0.0026243683145646957, "bench_c_p1m": 0.03619651135537261, "ret_p3m": 0.10985840386168633, "ret_signed_p3m": 0.10985840386168633, "alpha_spy_p3m": 0.09233100526159, "alpha_c_p3m": -0.058532976775727, "bench_spy_p3m": 0.017527398600096333, "bench_c_p3m": 0.16839138063741332, "ret_p6m": 0.4003312635051053, "ret_signed_p6m": 0.4003312635051053, "alpha_spy_p6m": 0.3511100564869638, "alpha_c_p6m": 0.04047273389361594, "bench_spy_p6m": 0.04922120701814148, "bench_c_p6m": 0.35985852961148934, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.0933416327937222, "alpha_spy_stated": -0.09071726447915751, "alpha_c_stated": -0.1295381441490948, "price_path": [0.0146, 0.0059, -0.0821, -0.0877, -0.0954, -0.0933, -0.0663, -0.0343, -0.0665, -0.056, -0.0453, -0.0532, -0.0685, -0.0353, -0.0469, -0.0359, -0.0384, -0.0245, -0.0122, -0.0122, -0.0011, -0.0359, -0.0153, -0.0574, -0.0326, -0.0459, -0.0061, -0.0047, -0.0066, -0.0211, -0.0082, -0.0322, -0.0319, -0.0724, -0.0704, -0.0128, -0.0089, -0.0189, 0.0116, -0.0241, -0.0103, 0.0155, 0.0258, 0.0027, 0.0339, 0.0172, 0.0101, -0.0356, -0.0574, -0.0542, -0.038, -0.0176, -0.0055, -0.0047, -0.0095, -0.0156, -0.0186, -0.0061, -0.0156, -0.0148, -0.0301, -0.0201, -0.0158, 0.0, -0.0198, -0.0307, -0.0258, 0.0718, 0.0406, 0.0535, 0.0486, 0.0668, 0.0483, 0.084, 0.0149, -0.0247, -0.0399, -0.0634, -0.0498, -0.0707, -0.0837, -0.0853, -0.0853, -0.0838, -0.0933, -0.0817, -0.0286, -0.0232, -0.0176, -0.0398, -0.0646, -0.0522, -0.0545, -0.1094, -0.1083, -0.1284, -0.0623, -0.0491, -0.0454, -0.0353, -0.0527, -0.057, -0.0839, -0.0616, -0.0675, -0.0849, -0.0507, -0.0521, -0.0639, -0.1035, -0.0348, -0.0064, -0.0121, 0.0253, 0.0416, 0.0544, 0.0752, 0.0752, 0.0446, 0.1031, 0.1016, 0.1053, 0.0888, 0.0998, 0.1303, 0.1253, 0.1099, 0.0726, 0.0709, 0.1038, 0.1003, 0.1662, 0.1932, 0.2795, 0.3175, 0.3107, 0.3773, 0.3773, 0.3586, 0.4041, 0.5502, 0.5926, 0.6021, 0.6948, 0.6258, 0.6329, 0.6704, 0.694, 0.6702, 0.71, 0.6692, 0.6746, 0.7217, 0.661, 0.674, 0.6872, 0.6941, 0.6806, 0.6879, 0.6907, 0.6985, 0.6567, 0.6837, 0.7073, 0.6916, 0.6659, 0.6323, 0.4907, 0.5137, 0.4009, 0.4169, 0.4169, 0.4317, 0.4347, 0.4298, 0.2056, 0.3076, 0.3293, 0.3148, 0.331, 0.3596, 0.3479, 0.3869, 0.3962, 0.4018, 0.4007, 0.3999, 0.3935, 0.3744, 0.4003]}
{"unit_id": "quote:1985384627079692703", "ticker_idx": 0, "ts": "2025-11-03T16:32:36+00:00", "symbol": "ADBE", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "No one will mind paying $ADBE $70 per month if it's enabling them to make $100K per year.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish ADBE: professional users won't churn at $70/month given the ROI; dismisses AI disruption fears.", "resolved_tickers": ["ADBE"], "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": "Precisely what most casual users miss. \n\nNo one will mind paying $ADBE $70 per month if it's enabling them to make $100K per year. \n\nAs a designer, the only things you need to get your work done are Coffee, a laptop, and Adobe software.", "reply_text": null, "parent_text": null, "quoted_text": "Guys $ADBE is LITERALLY a professional software ––&gt; you were never the target customer\n\nAnd no real designer is letting AI puke out an image and call it a finished ad campaign https://t.co/TWGAhuTlVs", "parent_author": null, "ret_m1d": 0.008415551982747349, "ret_signed_m1d": 0.008415551982747349, "alpha_spy_m1d": 0.010288866362292648, "alpha_c_m1d": 0.010288866362292648, "bench_spy_m1d": -0.0018733143795452989, "bench_c_m1d": -0.0018733143795452989, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.006282025393424595, "ret_signed_p1d": -0.006282025393424595, "alpha_spy_p1d": 0.005571521966594495, "alpha_c_p1d": 0.005571521966594495, "bench_spy_p1d": -0.01185354736001909, "bench_c_p1d": -0.01185354736001909, "ret_p1w": -0.025542996669354556, "ret_signed_p1w": -0.025542996669354556, "alpha_spy_p1w": -0.022762429318339605, "alpha_c_p1w": -0.022762429318339605, "bench_spy_p1w": -0.002780567351014951, "bench_c_p1w": -0.002780567351014951, "ret_p1m": -0.04344090914475629, "ret_signed_p1m": -0.04344090914475629, "alpha_spy_p1m": -0.04079218796708173, "alpha_c_p1m": -0.04079218796708173, "bench_spy_p1m": -0.0026487211776745623, "bench_c_p1m": -0.0026487211776745623, "ret_p3m": -0.13064863892614875, "ret_signed_p3m": -0.13064863892614875, "alpha_spy_p3m": -0.15131894883400143, "alpha_c_p3m": -0.15131894883400143, "bench_spy_p3m": 0.02067030990785268, "bench_c_p3m": 0.02067030990785268, "ret_p6m": -0.2707499771436932, "ret_signed_p6m": -0.2707499771436932, "alpha_spy_p6m": -0.3284254732712071, "alpha_c_p6m": -0.3284254732712071, "bench_spy_p6m": 0.05767549612751388, "bench_c_p6m": 0.05767549612751388, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.04344090914475629, "alpha_spy_stated": -0.04079218796708173, "alpha_c_stated": -0.04079218796708173, "price_path": [0.0242, 0.0024, 0.0106, -0.0113, 0.0028, 0.0403, 0.0329, 0.0515, 0.0586, 0.0698, 0.0473, 0.0473, 0.073, 0.0763, 0.0517, 0.0559, 0.0489, 0.057, 0.057, 0.0242, 0.0327, 0.0203, 0.0341, 0.0628, 0.0492, 0.0376, 0.0388, 0.0352, 0.0285, 0.0452, 0.0729, 0.0889, 0.0842, 0.0789, 0.072, 0.0468, 0.0495, 0.0679, 0.065, 0.0453, 0.0185, 0.0415, 0.0275, 0.0375, 0.0321, 0.0335, 0.0296, 0.0001, 0.0055, -0.0045, -0.0203, -0.0244, -0.0125, 0.0176, 0.0595, 0.0492, 0.0493, 0.0476, 0.0602, 0.0665, 0.0012, 0.0052, 0.0084, 0.0, -0.0063, -0.0057, -0.03, -0.0312, -0.0255, -0.0126, -0.0012, -0.0115, -0.0188, -0.0367, -0.0385, -0.0574, -0.0743, -0.0394, -0.0555, -0.0531, -0.0591, -0.0591, -0.0514, -0.0433, -0.0434, -0.0317, -0.0259, 0.026, 0.0049, 0.0203, 0.0168, 0.0384, 0.0562, 0.0405, 0.0309, 0.0509, 0.0543, 0.0545, 0.0594, 0.0443, 0.046, 0.0484, 0.0465, 0.0446, 0.0371, -0.0124, -0.0175, -0.0044, 0.0019, 0.0047, -0.0104, -0.0291, -0.0816, -0.0979, -0.0989, -0.1225, -0.1225, -0.1396, -0.1281, -0.1118, -0.1079, -0.097, -0.1187, -0.1123, -0.1358, -0.131, -0.1306, -0.1942, -0.1712, -0.2017, -0.2047, -0.2091, -0.2157, -0.238, -0.2222, -0.2178, -0.2178, -0.2282, -0.2202, -0.2319, -0.2337, -0.269, -0.2439, -0.2361, -0.2324, -0.2224, -0.227, -0.197, -0.1907, -0.1651, -0.1596, -0.1631, -0.1847, -0.1889, -0.2006, -0.2612, -0.2537, -0.2467, -0.271, -0.2711, -0.2647, -0.2662, -0.2922, -0.297, -0.2862, -0.3041, -0.2855, -0.2797, -0.2848, -0.2802, -0.2802, -0.2759, -0.2884, -0.2909, -0.3186, -0.3322, -0.2885, -0.3015, -0.275, -0.2646, -0.2756, -0.2633, -0.2675, -0.2416, -0.2918, -0.2727, -0.2909, -0.2793, -0.2782, -0.2707]}
{"unit_id": "quote:1985677119805170129", "ticker_idx": 0, "ts": "2025-11-04T11:54:52+00:00", "symbol": "META", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "the company is barely down 18%. In 2022, Meta bottomed at ~10x PE ratio. It's currently at 28 with Zuck guiding even faster CapEx growth for 2026", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bearish META: current 28x PE leaves significant downside vs 2022 trough of ~10x, with rising CapEx headwinds.", "resolved_tickers": ["META"], "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": "For everyone quoting $META here, the company is barely down 18%. \n\nIn 2022, Meta bottomed at ~10x PE ratio. \n\nIt's currently at 28 with Zuck guiding even faster CapEx growth for 2026.", "reply_text": null, "parent_text": null, "quoted_text": "Ok Mr. Market... time to pick another mega-cap to crush the sentiment of &amp; pronounce dead so I can add at a discount.", "parent_author": null, "ret_m1d": 0.016562600687968, "ret_signed_m1d": -0.016562600687968, "alpha_spy_m1d": -0.004566861262551347, "alpha_c_m1d": -0.009648354726214281, "bench_spy_m1d": 0.011995739425416652, "bench_c_m1d": 0.006914245961753718, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.013756921162278335, "ret_signed_p1d": -0.013756921162278335, "alpha_spy_p1d": -0.01029153596114929, "alpha_c_p1d": -0.008349617494366246, "bench_spy_p1d": 0.0034653852011290454, "bench_c_p1d": 0.005407303667912089, "ret_p1w": -0.0003824862464442136, "ret_signed_p1w": 0.0003824862464442136, "alpha_spy_p1w": 0.01187459053992923, "alpha_c_p1w": 0.012704104119126591, "bench_spy_p1w": 0.011492104293485017, "bench_c_p1w": 0.012321617872682378, "ret_p1m": 0.019575277361057575, "ret_signed_p1m": -0.019575277361057575, "alpha_spy_p1m": -0.006765027046376826, "alpha_c_p1m": 0.0009902334099425314, "bench_spy_p1m": 0.012810250314680749, "bench_c_p1m": 0.020565510771000106, "ret_p3m": 0.10352627737091002, "ret_signed_p3m": -0.10352627737091002, "alpha_spy_p3m": -0.07934604926958255, "alpha_c_p3m": -0.056445693150633636, "bench_spy_p3m": 0.024180228101327472, "bench_c_p3m": 0.04708058422027639, "ret_p6m": -0.02797914693958814, "ret_signed_p6m": 0.02797914693958814, "alpha_spy_p6m": 0.10130618012491455, "alpha_c_p6m": 0.06930118068521385, "bench_spy_p6m": 0.0733270331853264, "bench_c_p6m": 0.04132203374562571, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.019575277361057575, "alpha_spy_stated": -0.006765027046376826, "alpha_c_stated": 0.0009902334099425314, "price_path": [0.2136, 0.2255, 0.22, 0.2585, 0.2427, 0.2459, 0.2509, 0.2224, 0.1971, 0.1911, 0.1774, 0.2024, 0.2, 0.2013, 0.1906, 0.1965, 0.1768, 0.1768, 0.171, 0.1741, 0.1926, 0.1987, 0.1984, 0.2198, 0.1979, 0.1962, 0.2037, 0.2182, 0.241, 0.2357, 0.2429, 0.24, 0.2197, 0.2042, 0.2126, 0.1938, 0.1856, 0.185, 0.1707, 0.1435, 0.159, 0.1327, 0.1408, 0.1367, 0.1443, 0.1693, 0.1243, 0.1409, 0.1296, 0.1438, 0.1351, 0.1428, 0.1671, 0.1689, 0.1691, 0.1701, 0.177, 0.1969, 0.1979, 0.1982, 0.0624, 0.0335, 0.0166, 0.0, 0.0138, -0.0134, -0.0089, 0.0071, -0.0004, -0.0292, -0.0278, -0.0285, -0.0403, -0.0472, -0.059, -0.0608, -0.0527, -0.0227, 0.0142, 0.01, 0.01, 0.0329, 0.0216, 0.0315, 0.0196, 0.0545, 0.0735, 0.0629, 0.0472, 0.0364, 0.0405, 0.027, 0.033, 0.0484, 0.0362, 0.0601, 0.051, 0.0553, 0.0608, 0.065, 0.0582, 0.0509, 0.0624, 0.0531, 0.0377, 0.051, 0.0539, 0.0349, 0.0307, 0.0419, 0.0242, 0.0068, -0.018, -0.0096, -0.0105, -0.0105, -0.0362, -0.0221, 0.0332, 0.051, 0.0727, 0.0736, 0.0669, 0.1779, 0.1431, 0.127, 0.1035, 0.0673, 0.0692, 0.0553, 0.0804, 0.0701, 0.0668, 0.0367, 0.0207, 0.0207, 0.0199, 0.0262, 0.0287, 0.046, 0.0167, 0.0199, 0.0429, 0.0482, 0.0341, 0.0427, 0.0451, 0.0653, 0.0539, 0.0288, 0.0328, 0.0435, 0.0448, 0.0181, -0.0209, 0.0019, -0.0058, -0.0169, -0.0313, -0.0521, -0.0355, -0.0533, -0.0501, -0.1257, -0.1606, -0.1435, -0.0865, -0.0751, -0.0827, -0.0827, -0.085, -0.0818, -0.0221, 0.0034, 0.0057, 0.0132, 0.0578, 0.0723, 0.0808, 0.0994, 0.0713, 0.068, 0.0774, 0.0525, 0.0779, 0.0836, 0.072, 0.0684, -0.0229, -0.028]}
{"unit_id": "orig:1985697790320624082", "ticker_idx": 0, "ts": "2025-11-04T13:17:00+00:00", "symbol": "LULU", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "highlighted Lululemon $LULU as a company that is not a good rebound prospect, as it's facing structural challenges to its business", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bearish LULU: not a rebound candidate due to structural business challenges, corroborated by founder's public critique.", "resolved_tickers": ["LULU"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Apparel Retail'", "bench_c_industry": "Apparel Retail", "unit_kind": "original", "lang": "en", "tweet_text": "It’s just as important to know what not to buy.\n\nTwo months ago, we highlighted Lululemon $LULU as a company that is not a good rebound prospect, as it’s facing structural challenges to its business.\n\nhttps://reboundcapital.substack.com/p/why-all-drawdowns-are-not-equal\n\nLast month, Chip Wilson, the founder of Lululemon, took out a full-page ad in the WSJ to highlight issues at the company.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.029938985739785373, "ret_signed_m1d": -0.029938985739785373, "alpha_spy_m1d": -0.01794324631436872, "alpha_c_m1d": -0.013059620055988708, "bench_spy_m1d": 0.011995739425416652, "bench_c_m1d": 0.016879365683796665, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.043134523327635454, "ret_signed_p1d": -0.043134523327635454, "alpha_spy_p1d": -0.03966913812650641, "alpha_c_p1d": -0.030957885410280772, "bench_spy_p1d": 0.0034653852011290454, "bench_c_p1d": 0.012176637917354682, "ret_p1w": 0.056952531357637115, "ret_signed_p1w": -0.056952531357637115, "alpha_spy_p1w": -0.0454604270641521, "alpha_c_p1w": -0.05111612928114839, "bench_spy_p1w": 0.011492104293485017, "bench_c_p1w": 0.0058364020764887226, "ret_p1m": 0.13469437878988488, "ret_signed_p1m": -0.13469437878988488, "alpha_spy_p1m": -0.12188412847520413, "alpha_c_p1m": -0.13120937282341538, "bench_spy_p1m": 0.012810250314680749, "bench_c_p1m": 0.003485005966469501, "ret_p3m": 0.0679074032953133, "ret_signed_p3m": -0.0679074032953133, "alpha_spy_p3m": -0.043727175193985834, "alpha_c_p3m": -0.04985427316440427, "bench_spy_p3m": 0.024180228101327472, "bench_c_p3m": 0.018053130130909034, "ret_p6m": -0.1685547193687842, "ret_signed_p6m": 0.1685547193687842, "alpha_spy_p6m": 0.2418817525541106, "alpha_c_p6m": 0.16875517005411278, "bench_spy_p6m": 0.0733270331853264, "bench_c_p6m": 0.00020045068532859034, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.13469437878988488, "alpha_spy_stated": -0.12188412847520413, "alpha_c_stated": -0.13120937282341538, "price_path": [0.1897, 0.1791, 0.1605, 0.2009, 0.2479, 0.2149, 0.2353, 0.2674, 0.2303, 0.2332, 0.2335, 0.2921, 0.2601, 0.2606, 0.2795, 0.2765, 0.2586, 0.2586, 0.2462, 0.2357, 0.2828, 0.0444, 0.0463, 0.0313, 0.0202, 0.0319, -0.0049, -0.0042, 0.0105, 0.0176, 0.0566, 0.0558, 0.0794, 0.0789, 0.1155, 0.0706, 0.0973, 0.1148, 0.1075, 0.1053, 0.1092, 0.0929, 0.0838, 0.0779, 0.0881, 0.0798, 0.0426, 0.0572, 0.0527, 0.0401, 0.0246, 0.042, 0.0733, 0.129, 0.1097, 0.1145, 0.109, 0.129, 0.1203, 0.06, 0.0458, 0.0615, 0.0299, 0.0, 0.0431, 0.018, 0.034, 0.0603, 0.057, 0.0637, 0.056, 0.0624, 0.0218, 0.0206, 0.0336, 0.0251, 0.0468, 0.0561, 0.1049, 0.1325, 0.1325, 0.1464, 0.1354, 0.1353, 0.1347, 0.1428, 0.1827, 0.1393, 0.1346, 0.1678, 0.164, 0.2758, 0.284, 0.2868, 0.2939, 0.3389, 0.3037, 0.3219, 0.3238, 0.3096, 0.3007, 0.3229, 0.3113, 0.2935, 0.3121, 0.322, 0.3437, 0.3178, 0.3206, 0.2691, 0.3011, 0.3189, 0.2644, 0.276, 0.2565, 0.2565, 0.1749, 0.1816, 0.2116, 0.1893, 0.2, 0.1602, 0.1226, 0.0739, 0.0861, 0.1147, 0.0679, 0.1079, 0.0587, 0.0759, 0.0935, 0.1242, 0.0946, 0.0552, 0.0981, 0.0981, 0.1062, 0.1336, 0.1383, 0.1658, 0.1086, 0.1172, 0.1363, 0.1583, 0.1526, 0.0965, 0.0847, 0.0781, 0.0779, 0.0589, 0.0566, 0.0359, 0.0133, -0.0154, -0.0179, -0.0047, -0.0087, 0.0294, 0.0306, 0.0134, 0.0232, 0.0018, -0.0121, -0.0577, -0.0922, -0.0923, -0.0471, -0.0115, -0.0307, -0.0307, -0.0279, -0.0435, -0.0112, 0.0364, 0.0199, 0.0118, -0.0004, 0.0129, 0.0141, 0.0412, 0.0383, 0.0376, 0.0174, -0.1183, -0.1049, -0.0854, -0.1137, -0.14, -0.1429, -0.1686]}
{"unit_id": "orig:1985745605180936572", "ticker_idx": 0, "ts": "2025-11-04T16:27:00+00:00", "symbol": "META", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Would $META be a 2022 redux? ... If there is an economic slowdown in 2026 (which seems likely, given all the layoffs), then advertising spending will be hit. This hit to revenue, coupled with increased CapEx spending, can further deteriorate Meta's Free Cash Flow.", "tweet_type": "analysis", "timeline": "quarters", "summary": "Bearish META: reckless CapEx surge + AI underperformance + ad slowdown risk mirrors 2022 overspend that caused >70% drawdown.", "resolved_tickers": ["META"], "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": "Would $META be a 2022 redux? \n\nThe company is in a 20% drawdown as investors are once again worried about Meta's ROI. \nMeta has guided to ~$71B in CapEx in 2025, up from $39B in 2024. \n\nAnd now it is saying expenses will grow faster in 2026!\n\nIt's unclear why Meta needs to be so aggressive with its capital spending, especially given that Meta’s current AI models are not as good as those from Google, OpenAI, or Grok. \n\nWe are not saying the rankings are perfect, but we have yet to hear anyone say that Meta is leading in the race to super intelligence.\n\nIf there is an economic slowdown in 2026 (which seems likely, given all the layoffs), then advertising spending will be hit. \n\nThis hit to revenue, coupled with increased CapEx spending, can further deteriorate Meta’s Free Cash Flow.\n\nThere is a history of Mark Zuckerberg getting too bullish on a particular theme and overspending on it. Back in 2022, Meta fell >70% because of the CEO’s reckless spending on virtual reality (Metaverse), even as the core business was a bit weak. In 2022, Meta bottomed at ~10x PE ratio. \n\nThe stock finally recovered, but only after Mark had conveyed spending discipline to the market.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.016562600687968, "ret_signed_m1d": -0.016562600687968, "alpha_spy_m1d": -0.004566861262551347, "alpha_c_m1d": -0.009648354726214281, "bench_spy_m1d": 0.011995739425416652, "bench_c_m1d": 0.006914245961753718, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.013756921162278335, "ret_signed_p1d": -0.013756921162278335, "alpha_spy_p1d": -0.01029153596114929, "alpha_c_p1d": -0.008349617494366246, "bench_spy_p1d": 0.0034653852011290454, "bench_c_p1d": 0.005407303667912089, "ret_p1w": -0.0003824862464442136, "ret_signed_p1w": 0.0003824862464442136, "alpha_spy_p1w": 0.01187459053992923, "alpha_c_p1w": 0.012704104119126591, "bench_spy_p1w": 0.011492104293485017, "bench_c_p1w": 0.012321617872682378, "ret_p1m": 0.019575277361057575, "ret_signed_p1m": -0.019575277361057575, "alpha_spy_p1m": -0.006765027046376826, "alpha_c_p1m": 0.0009902334099425314, "bench_spy_p1m": 0.012810250314680749, "bench_c_p1m": 0.020565510771000106, "ret_p3m": 0.10352627737091002, "ret_signed_p3m": -0.10352627737091002, "alpha_spy_p3m": -0.07934604926958255, "alpha_c_p3m": -0.056445693150633636, "bench_spy_p3m": 0.024180228101327472, "bench_c_p3m": 0.04708058422027639, "ret_p6m": -0.02797914693958814, "ret_signed_p6m": 0.02797914693958814, "alpha_spy_p6m": 0.10130618012491455, "alpha_c_p6m": 0.06930118068521385, "bench_spy_p6m": 0.0733270331853264, "bench_c_p6m": 0.04132203374562571, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 63, "stated_label": "p3m", "ret_signed_stated": -0.10352627737091002, "alpha_spy_stated": -0.07934604926958255, "alpha_c_stated": -0.056445693150633636, "price_path": [0.2136, 0.2255, 0.22, 0.2585, 0.2427, 0.2459, 0.2509, 0.2224, 0.1971, 0.1911, 0.1774, 0.2024, 0.2, 0.2013, 0.1906, 0.1965, 0.1768, 0.1768, 0.171, 0.1741, 0.1926, 0.1987, 0.1984, 0.2198, 0.1979, 0.1962, 0.2037, 0.2182, 0.241, 0.2357, 0.2429, 0.24, 0.2197, 0.2042, 0.2126, 0.1938, 0.1856, 0.185, 0.1707, 0.1435, 0.159, 0.1327, 0.1408, 0.1367, 0.1443, 0.1693, 0.1243, 0.1409, 0.1296, 0.1438, 0.1351, 0.1428, 0.1671, 0.1689, 0.1691, 0.1701, 0.177, 0.1969, 0.1979, 0.1982, 0.0624, 0.0335, 0.0166, 0.0, 0.0138, -0.0134, -0.0089, 0.0071, -0.0004, -0.0292, -0.0278, -0.0285, -0.0403, -0.0472, -0.059, -0.0608, -0.0527, -0.0227, 0.0142, 0.01, 0.01, 0.0329, 0.0216, 0.0315, 0.0196, 0.0545, 0.0735, 0.0629, 0.0472, 0.0364, 0.0405, 0.027, 0.033, 0.0484, 0.0362, 0.0601, 0.051, 0.0553, 0.0608, 0.065, 0.0582, 0.0509, 0.0624, 0.0531, 0.0377, 0.051, 0.0539, 0.0349, 0.0307, 0.0419, 0.0242, 0.0068, -0.018, -0.0096, -0.0105, -0.0105, -0.0362, -0.0221, 0.0332, 0.051, 0.0727, 0.0736, 0.0669, 0.1779, 0.1431, 0.127, 0.1035, 0.0673, 0.0692, 0.0553, 0.0804, 0.0701, 0.0668, 0.0367, 0.0207, 0.0207, 0.0199, 0.0262, 0.0287, 0.046, 0.0167, 0.0199, 0.0429, 0.0482, 0.0341, 0.0427, 0.0451, 0.0653, 0.0539, 0.0288, 0.0328, 0.0435, 0.0448, 0.0181, -0.0209, 0.0019, -0.0058, -0.0169, -0.0313, -0.0521, -0.0355, -0.0533, -0.0501, -0.1257, -0.1606, -0.1435, -0.0865, -0.0751, -0.0827, -0.0827, -0.085, -0.0818, -0.0221, 0.0034, 0.0057, 0.0132, 0.0578, 0.0723, 0.0808, 0.0994, 0.0713, 0.068, 0.0774, 0.0525, 0.0779, 0.0836, 0.072, 0.0684, -0.0229, -0.028]}
{"unit_id": "orig:1985918693403238491", "ticker_idx": 0, "ts": "2025-11-05T03:54:47+00:00", "symbol": "AMD", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "we issued a sell rating after the AMD x OpenAI deal. The valuation has run way ahead of the fundamentals and anything other than perfect execution & guidance will cause the stock to drop", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Sell AMD: valuation far ahead of fundamentals; payoff slower than expected, any execution miss will punish the stock.", "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": "original", "lang": "en", "tweet_text": "$AMD is down ~5% after hours after reporting better-than-expected results. \n\nEPS: $1.20 adjusted vs. $1.16 expected\nRevenue: $9.25 billion vs. $8.74 billion expected\n\nThe reason for the drop, even after an earnings beat, is that AMD's payoff might come in slower than expected. \n\nThis is exactly why we issued a sell rating after the AMD x OpenAI deal. \n\nThe valuation has run way ahead of the fundamentals and anything other than perfect execution & guidance will cause the stock to drop.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.024499605389466717, "ret_signed_m1d": 0.024499605389466717, "alpha_spy_m1d": 0.021046187611199696, "alpha_c_m1d": 0.005751364332989395, "bench_spy_m1d": -0.0034534177782670206, "bench_c_m1d": -0.01874824105647732, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.0726797120896786, "ret_signed_p1d": 0.0726797120896786, "alpha_spy_p1d": 0.0619503482204411, "alpha_c_p1d": 0.04928611449508313, "bench_spy_p1d": -0.010729363869237507, "bench_c_p1d": -0.023393597594595472, "ret_p1w": 0.009987236024959323, "ret_signed_p1w": -0.009987236024959323, "alpha_spy_p1w": -0.0014273047899613367, "alpha_c_p1w": -0.021030399700694646, "bench_spy_p1w": 0.008559931234997986, "bench_c_p1w": -0.011043163675735324, "ret_p1m": -0.1574142431960489, "ret_signed_p1m": 0.1574142431960489, "alpha_spy_p1m": 0.16746469435738465, "alpha_c_p1m": 0.16325566004128877, "bench_spy_p1m": 0.010050451161335738, "bench_c_p1m": 0.005841416845239866, "ret_p3m": -0.219014501118589, "ret_signed_p3m": 0.219014501118589, "alpha_spy_p3m": 0.23471396013187962, "alpha_c_p3m": 0.28496352592411, "bench_spy_p3m": 0.015699459013290618, "bench_c_p3m": 0.065949024805521, "ret_p6m": 0.33242315154818414, "ret_signed_p6m": -0.33242315154818414, "alpha_spy_p6m": -0.2667212039451683, "alpha_c_p6m": 0.0816712176611396, "bench_spy_p6m": 0.06570194760301584, "bench_c_p6m": 0.41409436920932374, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.1574142431960489, "alpha_spy_stated": 0.16746469435738465, "alpha_c_stated": 0.16325566004128877, "price_path": [-0.326, -0.3279, -0.3175, -0.2805, -0.2941, -0.3075, -0.3128, -0.3503, -0.3555, -0.3613, -0.3455, -0.3627, -0.35, -0.348, -0.3423, -0.3655, -0.3655, -0.3668, -0.3675, -0.3688, -0.4104, -0.4093, -0.3921, -0.3776, -0.3927, -0.3814, -0.3713, -0.374, -0.3791, -0.3839, -0.386, -0.3766, -0.3723, -0.3724, -0.3709, -0.3779, -0.3705, -0.3688, -0.3602, -0.3378, -0.3576, -0.2053, -0.1749, -0.081, -0.0914, -0.1616, -0.1557, -0.1492, -0.0692, -0.0849, -0.0907, -0.0615, -0.0714, -0.1018, -0.0833, -0.0133, 0.013, 0.0066, 0.0312, -0.0058, -0.0008, 0.013, -0.0245, 0.0, -0.0727, -0.0889, -0.0482, -0.0734, 0.01, -0.0327, -0.0371, -0.0617, -0.1016, -0.1279, -0.1963, -0.205, -0.161, -0.1958, -0.1642, -0.1642, -0.1514, -0.1427, -0.1603, -0.1511, -0.1574, -0.1497, -0.1374, -0.1354, -0.1362, -0.1362, -0.1777, -0.1902, -0.184, -0.2271, -0.2156, -0.1674, -0.1614, -0.1616, -0.1611, -0.1613, -0.1589, -0.1599, -0.1645, -0.1282, -0.1375, -0.1638, -0.1807, -0.2015, -0.2074, -0.1898, -0.1379, -0.1277, -0.1108, -0.0956, -0.0956, -0.0952, -0.0255, -0.0101, 0.0131, -0.0196, -0.0168, -0.014, -0.0162, -0.0765, -0.0392, -0.0555, -0.219, -0.249, -0.1868, -0.1573, -0.1668, -0.1668, -0.1966, -0.1912, -0.1912, -0.2077, -0.2193, -0.2066, -0.2192, -0.233, -0.1658, -0.1774, -0.2054, -0.2189, -0.2251, -0.2551, -0.2117, -0.2219, -0.2493, -0.2093, -0.2072, -0.2009, -0.2286, -0.2455, -0.2331, -0.2342, -0.2219, -0.1992, -0.2146, -0.2093, -0.1988, -0.1407, -0.205, -0.212, -0.2352, -0.2064, -0.1799, -0.1515, -0.1515, -0.141, -0.1358, -0.0956, -0.0768, -0.044, -0.0371, -0.0049, 0.007, 0.0856, 0.0861, 0.0726, 0.1099, 0.1839, 0.1912, 0.3569, 0.3055, 0.2609, 0.3151, 0.3829, 0.4065, 0.3324]}
{"unit_id": "orig:1988567130938196101", "ticker_idx": 0, "ts": "2025-11-12T11:18:44+00:00", "symbol": "MORN", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "we are building a basket of these stocks to invest in. We expect these companies to bounce back once macro worries are over.", "tweet_type": "analysis", "timeline": "months", "summary": "Building a basket long in MORN, FDS, and LSEG; expects bounce-back once macro headwinds ease and Fed rate cuts boost deal activity.", "resolved_tickers": ["MORN"], "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": "original", "lang": "en", "tweet_text": "Financial data companies are rarely in a drawdown because their subscriptions are sticky and their revenues are stable.\n\nBut we now have a few high-quality companies in a steep drawdown. \n\nMorningstar $MORN is down 40%\nFactSet $FDS is down 45% \nLondon Stock Exchange $LSEG is down 23%. \n\nTo put this in context, the last time $FDS was down more than 40% was during the 2008 GFC. \n\nThe key issue is that the industry as a whole is becoming more cautious about spending on data. \n\nMacroeconomic concerns (tariffs, a cooling labour market, etc.) are forcing financial services firms to cut discretionary spending.\n\nSlowing deal activity due to high-interest rates was also a headwind. \n\n@rebound_capital, we are building a basket of these stocks to invest in. \n\nWe expect these companies to bounce back once macro worries are over. Also, the Fed rate cuts should be a good tailwind (more deal activity). \n\nOne final thing to show how good these businesses are: \n\nMorningstar sells Morningstar Direct (a $15K subscription) to more than 18,000 businesses. \n\nThe annual revenue renewal rate for Morningstar Direct was 101% in 2024 and 2023.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.007907494816068561, "ret_signed_m1d": -0.007907494816068561, "alpha_spy_m1d": -0.0073513238442849405, "alpha_c_m1d": 0.0006633742436078505, "bench_spy_m1d": -0.0005561709717836205, "bench_c_m1d": -0.008570869059676411, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.010497102013343751, "ret_signed_p1d": -0.010497102013343751, "alpha_spy_p1d": 0.006096892907093476, "alpha_c_p1d": 0.002359201576170755, "bench_spy_p1d": -0.016593994920437227, "bench_c_p1d": -0.012856303589514506, "ret_p1w": -0.027884312625200414, "ret_signed_p1w": -0.027884312625200414, "alpha_spy_p1w": 0.0024795065799704252, "alpha_c_p1w": 0.011429928640583675, "bench_spy_p1w": -0.03036381920517084, "bench_c_p1w": -0.03931424126578409, "ret_p1m": -0.01156066535058331, "ret_signed_p1m": -0.01156066535058331, "alpha_spy_p1m": -0.020033177257694046, "alpha_c_p1m": -0.03391957306442306, "bench_spy_p1m": 0.008472511907110736, "bench_c_p1m": 0.02235890771383975, "ret_p3m": -0.2799617332833684, "ret_signed_p3m": -0.2799617332833684, "alpha_spy_p3m": -0.2955089452737518, "alpha_c_p3m": -0.26606822604725966, "bench_spy_p3m": 0.015547211990383447, "bench_c_p3m": -0.013893507236108715, "ret_p6m": -0.18081690374822734, "ret_signed_p6m": -0.18081690374822734, "alpha_spy_p6m": -0.2688052947598344, "alpha_c_p6m": -0.14267425583645488, "bench_spy_p6m": 0.08798839101160705, "bench_c_p6m": -0.038142647911772465, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.01156066535058331, "alpha_spy_stated": -0.020033177257694046, "alpha_c_stated": -0.03391957306442306, "price_path": [0.1936, 0.1932, 0.2016, 0.2105, 0.1938, 0.2175, 0.2058, 0.2012, 0.2238, 0.2057, 0.2111, 0.2111, 0.1814, 0.1808, 0.1912, 0.1872, 0.1894, 0.189, 0.16, 0.1859, 0.1867, 0.1381, 0.1486, 0.1488, 0.0785, 0.0853, 0.0804, 0.0885, 0.0943, 0.0694, 0.0841, 0.0805, 0.0707, 0.0477, 0.0442, 0.0456, 0.0341, 0.0462, 0.0554, 0.0492, 0.042, 0.0449, 0.0408, 0.0159, -0.0256, -0.008, 0.009, 0.0248, 0.0172, 0.0085, 0.0152, 0.0096, 0.0086, -0.0343, -0.0084, -0.0183, -0.0136, -0.0212, -0.0171, -0.0213, -0.0035, -0.0055, -0.0079, 0.0, -0.0105, -0.0199, -0.0409, -0.0296, -0.0279, -0.0325, -0.0158, -0.0281, -0.0125, -0.0117, -0.0117, -0.0064, 0.0006, 0.0042, 0.0075, 0.0032, 0.0091, 0.0037, -0.0054, 0.0008, -0.0116, -0.0099, -0.0256, -0.0303, -0.0109, -0.0338, -0.0039, 0.0024, 0.0051, 0.009, 0.013, 0.0129, 0.0081, 0.0049, -0.0247, -0.0081, -0.0006, -0.0092, -0.0157, 0.0049, 0.0128, 0.001, 0.0197, -0.0005, -0.0085, -0.0085, -0.0408, -0.027, -0.0081, -0.0225, -0.0209, -0.0581, -0.0517, -0.0673, -0.0633, -0.0809, -0.1639, -0.1633, -0.2155, -0.2331, -0.2413, -0.2515, -0.28, -0.2862, -0.2583, -0.2583, -0.2662, -0.2457, -0.2498, -0.2608, -0.2728, -0.2448, -0.2009, -0.155, -0.1512, -0.155, -0.155, -0.1338, -0.12, -0.1187, -0.1146, -0.1456, -0.1683, -0.1613, -0.1508, -0.1534, -0.1478, -0.1507, -0.1431, -0.17, -0.1936, -0.238, -0.2632, -0.2553, -0.2732, -0.2368, -0.2165, -0.2135, -0.1962, -0.1962, -0.1788, -0.1789, -0.1968, -0.2063, -0.2192, -0.1799, -0.1995, -0.1657, -0.1608, -0.1433, -0.1332, -0.1266, -0.1346, -0.1743, -0.1806, -0.1737, -0.1459, -0.1279, -0.2157, -0.2142, -0.2206, -0.2257, -0.2206, -0.173, -0.1786, -0.1808]}
{"unit_id": "orig:1988567130938196101", "ticker_idx": 1, "ts": "2025-11-12T11:18:44+00:00", "symbol": "FDS", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "we are building a basket of these stocks to invest in. We expect these companies to bounce back once macro worries are over.", "tweet_type": "analysis", "timeline": "months", "summary": "Building a basket long in MORN, FDS, and LSEG; expects bounce-back once macro headwinds ease and Fed rate cuts boost deal activity.", "resolved_tickers": ["FDS"], "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": "original", "lang": "en", "tweet_text": "Financial data companies are rarely in a drawdown because their subscriptions are sticky and their revenues are stable.\n\nBut we now have a few high-quality companies in a steep drawdown. \n\nMorningstar $MORN is down 40%\nFactSet $FDS is down 45% \nLondon Stock Exchange $LSEG is down 23%. \n\nTo put this in context, the last time $FDS was down more than 40% was during the 2008 GFC. \n\nThe key issue is that the industry as a whole is becoming more cautious about spending on data. \n\nMacroeconomic concerns (tariffs, a cooling labour market, etc.) are forcing financial services firms to cut discretionary spending.\n\nSlowing deal activity due to high-interest rates was also a headwind. \n\n@rebound_capital, we are building a basket of these stocks to invest in. \n\nWe expect these companies to bounce back once macro worries are over. Also, the Fed rate cuts should be a good tailwind (more deal activity). \n\nOne final thing to show how good these businesses are: \n\nMorningstar sells Morningstar Direct (a $15K subscription) to more than 18,000 businesses. \n\nThe annual revenue renewal rate for Morningstar Direct was 101% in 2024 and 2023.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.0011769770539558078, "ret_signed_m1d": -0.0011769770539558078, "alpha_spy_m1d": -0.0006208060821721872, "alpha_c_m1d": 0.007393892005720604, "bench_spy_m1d": -0.0005561709717836205, "bench_c_m1d": -0.008570869059676411, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.02228925907131729, "ret_signed_p1d": 0.02228925907131729, "alpha_spy_p1d": 0.03888325399175452, "alpha_c_p1d": 0.0351455626608318, "bench_spy_p1d": -0.016593994920437227, "bench_c_p1d": -0.012856303589514506, "ret_p1w": -0.017875595118982845, "ret_signed_p1w": -0.017875595118982845, "alpha_spy_p1w": 0.012488224086187993, "alpha_c_p1w": 0.021438646146801243, "bench_spy_p1w": -0.03036381920517084, "bench_c_p1w": -0.03931424126578409, "ret_p1m": 0.07661699459250748, "ret_signed_p1m": 0.07661699459250748, "alpha_spy_p1m": 0.06814448268539675, "alpha_c_p1m": 0.05425808687866773, "bench_spy_p1m": 0.008472511907110736, "bench_c_p1m": 0.02235890771383975, "ret_p3m": -0.2844955014206819, "ret_signed_p3m": -0.2844955014206819, "alpha_spy_p3m": -0.30004271341106536, "alpha_c_p3m": -0.2706019941845732, "bench_spy_p3m": 0.015547211990383447, "bench_c_p3m": -0.013893507236108715, "ret_p6m": -0.18641256255678573, "ret_signed_p6m": -0.18641256255678573, "alpha_spy_p6m": -0.2744009535683928, "alpha_c_p6m": -0.14826991464501327, "bench_spy_p6m": 0.08798839101160705, "bench_c_p6m": -0.038142647911772465, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.07661699459250748, "alpha_spy_stated": 0.06814448268539675, "alpha_c_stated": 0.05425808687866773, "price_path": [0.3555, 0.3611, 0.3719, 0.4216, 0.3824, 0.3995, 0.4033, 0.3936, 0.3944, 0.3781, 0.3731, 0.3731, 0.3568, 0.3638, 0.359, 0.3646, 0.3805, 0.3714, 0.3306, 0.3627, 0.3309, 0.2668, 0.2696, 0.236, 0.108, 0.0635, 0.0874, 0.0608, 0.0525, 0.0441, 0.0655, 0.0691, 0.0537, 0.0546, 0.0368, 0.0384, 0.0115, 0.0186, 0.0353, 0.0412, 0.0414, 0.0519, 0.051, 0.0444, 0.0225, 0.0544, 0.0682, 0.0818, 0.0664, 0.055, 0.0494, 0.0679, 0.0608, -0.0184, -0.0104, -0.0187, -0.0269, -0.0269, -0.0395, -0.0672, -0.0341, -0.025, -0.0012, 0.0, 0.0223, 0.0075, 0.0065, 0.0008, -0.0179, 0.0043, 0.0189, -0.0004, 0.0252, 0.0203, 0.0203, 0.0239, 0.0234, 0.0276, 0.0308, 0.03, 0.0732, 0.0594, 0.0619, 0.0642, 0.0766, 0.08, 0.0784, 0.082, 0.0935, 0.0096, 0.0655, 0.0744, 0.0741, 0.0712, 0.0788, 0.0836, 0.0761, 0.0716, 0.0521, 0.0575, 0.0812, 0.0818, 0.0863, 0.0873, 0.0964, 0.0774, 0.0904, 0.0697, 0.0657, 0.0657, 0.0231, 0.0492, 0.0664, 0.0586, 0.0573, -0.0079, -0.0035, -0.0665, -0.0607, -0.0814, -0.1779, -0.1675, -0.2276, -0.2344, -0.2496, -0.2437, -0.2845, -0.2543, -0.2401, -0.2401, -0.2982, -0.2691, -0.2656, -0.2797, -0.2974, -0.256, -0.237, -0.2088, -0.1952, -0.1836, -0.1728, -0.1634, -0.1651, -0.1616, -0.1795, -0.2131, -0.2371, -0.2443, -0.2367, -0.23, -0.2242, -0.2286, -0.2248, -0.2232, -0.2262, -0.2673, -0.2804, -0.2715, -0.2638, -0.2408, -0.1946, -0.1654, -0.1549, -0.1549, -0.1428, -0.1552, -0.1724, -0.2075, -0.2146, -0.1596, -0.1702, -0.1435, -0.1394, -0.1362, -0.1245, -0.108, -0.0991, -0.1534, -0.1681, -0.1636, -0.1479, -0.1377, -0.1553, -0.1553, -0.1669, -0.1856, -0.2139, -0.1686, -0.17, -0.1864]}
{"unit_id": "orig:1988567130938196101", "ticker_idx": 2, "ts": "2025-11-12T11:18:44+00:00", "symbol": "LSEG", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "we are building a basket of these stocks to invest in. We expect these companies to bounce back once macro worries are over.", "tweet_type": "analysis", "timeline": "months", "summary": "Building a basket long in MORN, FDS, and LSEG; expects bounce-back once macro headwinds ease and Fed rate cuts boost deal activity.", "resolved_tickers": ["LSEG.L"], "resolution_method": "exchange_ticker", "resolution_reason": "London Stock Exchange Group trades on LSE as LSEG.L", "bench_c": "XLF", "bench_c_reason": "industry='Financial Data & Stock Exchanges'", "bench_c_industry": "Financial Data & Stock Exchanges", "unit_kind": "original", "lang": "en", "tweet_text": "Financial data companies are rarely in a drawdown because their subscriptions are sticky and their revenues are stable.\n\nBut we now have a few high-quality companies in a steep drawdown. \n\nMorningstar $MORN is down 40%\nFactSet $FDS is down 45% \nLondon Stock Exchange $LSEG is down 23%. \n\nTo put this in context, the last time $FDS was down more than 40% was during the 2008 GFC. \n\nThe key issue is that the industry as a whole is becoming more cautious about spending on data. \n\nMacroeconomic concerns (tariffs, a cooling labour market, etc.) are forcing financial services firms to cut discretionary spending.\n\nSlowing deal activity due to high-interest rates was also a headwind. \n\n@rebound_capital, we are building a basket of these stocks to invest in. \n\nWe expect these companies to bounce back once macro worries are over. Also, the Fed rate cuts should be a good tailwind (more deal activity). \n\nOne final thing to show how good these businesses are: \n\nMorningstar sells Morningstar Direct (a $15K subscription) to more than 18,000 businesses. \n\nThe annual revenue renewal rate for Morningstar Direct was 101% in 2024 and 2023.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.03028272530725551, "ret_signed_m1d": 0.03028272530725551, "alpha_spy_m1d": 0.03083889627903913, "alpha_c_m1d": 0.03885359436693192, "bench_spy_m1d": -0.0005561709717836205, "bench_c_m1d": -0.008570869059676411, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.014580510587890227, "ret_signed_p1d": -0.014580510587890227, "alpha_spy_p1d": 0.0020134843325469998, "alpha_c_p1d": -0.0017242069983757213, "bench_spy_p1d": -0.016593994920437227, "bench_c_p1d": -0.012856303589514506, "ret_p1w": -0.05899506483044581, "ret_signed_p1w": -0.05899506483044581, "alpha_spy_p1w": -0.02863124562527497, "alpha_c_p1w": -0.01968082356466172, "bench_spy_p1w": -0.03036381920517084, "bench_c_p1w": -0.03931424126578409, "ret_p1m": -0.05832204235156069, "ret_signed_p1m": -0.05832204235156069, "alpha_spy_p1m": -0.06679455425867142, "alpha_c_p1m": -0.08068095006540044, "bench_spy_p1m": 0.008472511907110736, "bench_c_p1m": 0.02235890771383975, "ret_p3m": -0.17205018924923265, "ret_signed_p3m": -0.17205018924923265, "alpha_spy_p3m": -0.1875974012396161, "alpha_c_p3m": -0.15815668201312394, "bench_spy_p3m": 0.015547211990383447, "bench_c_p3m": -0.013893507236108715, "ret_p6m": 0.011777126590555076, "ret_signed_p6m": 0.011777126590555076, "alpha_spy_p6m": -0.07621126442105197, "alpha_c_p6m": 0.04991977450232754, "bench_spy_p6m": 0.08798839101160705, "bench_c_p6m": -0.038142647911772465, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.05832204235156069, "alpha_spy_stated": -0.06679455425867142, "alpha_c_stated": -0.08068095006540044, "price_path": [0.0388, 0.0361, 0.046, 0.0711, 0.0621, 0.0615, 0.0615, 0.0668, 0.0527, 0.0359, 0.0283, 0.0339, 0.02, 0.041, 0.0455, 0.0397, 0.0386, -0.0101, -0.0195, -0.02, -0.0319, -0.0195, -0.0399, -0.0422, -0.0314, -0.0873, -0.0841, -0.0823, -0.074, -0.0765, -0.0691, -0.0579, -0.0449, -0.0314, -0.0343, -0.0348, -0.0381, -0.0388, -0.0334, -0.0193, -0.0153, -0.0036, -0.0105, -0.0141, -0.0285, -0.0428, -0.0323, -0.0292, -0.022, 0.0482, 0.0987, 0.1039, 0.0837, 0.0619, 0.0619, 0.0639, 0.0668, 0.0821, 0.0917, 0.063, 0.0397, 0.0175, 0.0303, 0.0, -0.0146, -0.017, -0.0285, -0.0446, -0.059, -0.0657, -0.0352, -0.0307, -0.0099, -0.0029, -0.0061, -0.0009, -0.0137, -0.0193, -0.0054, -0.0253, -0.0296, -0.0467, -0.0505, -0.0617, -0.0583, -0.0507, -0.0332, -0.0238, -0.0159, -0.0029, 0.0002, -0.0049, -0.0072, -0.0047, -0.0047, -0.0027, 0.0052, 0.004, -0.0126, 0.0139, 0.0209, -0.0029, -0.0067, 0.004, 0.0168, 0.0065, 0.0094, 0.0191, 0.0301, 0.0186, 0.0072, -0.015, -0.0215, -0.0166, -0.0379, -0.0738, -0.0695, -0.0895, -0.0891, -0.0765, -0.1947, -0.1958, -0.1492, -0.1586, -0.1563, -0.1736, -0.1721, -0.1566, -0.151, -0.1463, -0.1507, -0.1263, -0.1276, -0.1135, -0.1357, -0.1389, -0.1258, -0.0467, -0.0063, -0.0157, -0.0408, -0.0287, -0.0193, -0.0139, -0.0285, -0.041, -0.0552, -0.037, -0.0191, -0.0177, -0.0081, -0.0305, -0.0334, -0.0285, -0.0538, -0.0496, -0.0449, -0.063, -0.0751, -0.0352, -0.0058, -0.0105, 0.0004, 0.0004, 0.0004, -0.0045, 0.0063, 0.0081, 0.0058, 0.0307, 0.0262, 0.0375, 0.0667, 0.0607, 0.0557, 0.0824, 0.0934, 0.1006, 0.1208, 0.1152, 0.0995, 0.0822, 0.0712, 0.0795, 0.0795, 0.0744, 0.0477, 0.0358, 0.0142, 0.0118]}
{"unit_id": "quote:1988839064372400474", "ticker_idx": 0, "ts": "2025-11-13T05:19:18+00:00", "symbol": "DUOL", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Just because a stock is down 60% does not make it a value play... Even after the drawdown, the stock is at 76 P/E. This leaves very little room for error for the company, and growth is normalizing", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bearish DUOL despite 60% drop: still at 76x P/E with decelerating growth, won't re-rate until it proves TAM capture.", "resolved_tickers": ["DUOL"], "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": "PSA: Just because a stock is down 60% does not make it a value play (even if you like the product) \n\nJust 4 months back, $DUOL was trading at a very reasonable P/E of.. check notes.. 168. \n\nEven after the drawdown, the stock is at 76 P/E. \n\nThis leaves very little room for error for the company, and growth is normalizing with the latest quarter showing mid-30% YoY compared to 50%+ earlier this year.\n\nThe stock won't re-rate until the company can demonstrate it can capture the massive TAM in Chess and reaccelerate growth.", "reply_text": null, "parent_text": null, "quoted_text": "I’ve long been a DAU on @duolingo (love chess) but it’s been interesting to see their stock battered this year, in part because people worry AI hurts the business both via real-time translation reducing language learning and lowering barriers of competitor entry.\n\nIMO translation https://t.co/HHS830wREN", "parent_author": null, "ret_m1d": 0.00021447703635590898, "ret_signed_m1d": -0.00021447703635590898, "alpha_spy_m1d": 0.016659524987960195, "alpha_c_m1d": 0.016659524987960195, "bench_spy_m1d": 0.016874002024316104, "bench_c_m1d": 0.016874002024316104, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.007880272407103872, "ret_signed_p1d": 0.007880272407103872, "alpha_spy_p1d": 0.007716539606946071, "alpha_c_p1d": 0.007716539606946071, "bench_spy_p1d": -0.0001637328001578009, "bench_c_p1d": -0.0001637328001578009, "ret_p1w": -0.09933526024563433, "ret_signed_p1w": 0.09933526024563433, "alpha_spy_p1w": 0.07030428095591046, "alpha_c_p1w": 0.07030428095591046, "bench_spy_p1w": -0.02903097928972387, "bench_c_p1w": -0.02903097928972387, "ret_p1m": 0.05221403368565536, "ret_signed_p1m": -0.05221403368565536, "alpha_spy_p1m": -0.037750603379098635, "alpha_c_p1m": -0.037750603379098635, "bench_spy_p1m": 0.014463430306556724, "bench_c_p1m": 0.014463430306556724, "ret_p3m": -0.3993245036742076, "ret_signed_p3m": 0.3993245036742076, "alpha_spy_p3m": 0.41605427798026395, "alpha_c_p3m": 0.41605427798026395, "bench_spy_p3m": 0.016729774306056377, "bench_c_p3m": 0.016729774306056377, "ret_p6m": -0.4317036241465806, "ret_signed_p6m": 0.4317036241465806, "alpha_spy_p6m": 0.5363746700246395, "alpha_c_p6m": 0.5363746700246395, "bench_spy_p6m": 0.10467104587805887, "bench_c_p6m": 0.10467104587805887, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.05221403368565536, "alpha_spy_stated": -0.037750603379098635, "alpha_c_stated": -0.037750603379098635, "price_path": [0.9791, 0.8262, 0.8167, 0.8523, 0.7791, 0.7232, 0.6941, 0.7044, 0.7304, 0.5968, 0.5968, 0.5545, 0.5145, 0.4619, 0.4537, 0.4543, 0.4661, 0.5327, 0.6583, 0.6506, 0.5284, 0.505, 0.4965, 0.5529, 0.5595, 0.6583, 0.6056, 0.6145, 0.6806, 0.7497, 0.7625, 0.7253, 0.6282, 0.6779, 0.7295, 0.7171, 0.7153, 0.8616, 0.8076, 0.7423, 0.7691, 0.783, 0.8285, 0.7721, 0.737, 0.6765, 0.7026, 0.6488, 0.6803, 0.6726, 0.6443, 0.5754, 0.4622, 0.4089, 0.4508, 0.4202, 0.4047, 0.3939, 0.0386, 0.0786, 0.0336, 0.0448, 0.0002, 0.0, -0.0079, -0.0443, -0.0595, -0.0647, -0.0993, -0.0738, -0.0754, -0.0578, 0.0101, 0.0101, 0.0261, -0.0058, -0.0211, -0.0064, 0.0099, 0.0708, 0.1146, 0.1208, 0.0584, 0.0773, 0.0522, -0.0031, 0.0012, -0.0139, -0.0196, -0.0031, -0.0063, -0.039, -0.0314, -0.0262, -0.0341, -0.0504, -0.0592, -0.0539, -0.0075, -0.0407, -0.0549, -0.0679, -0.053, -0.1329, -0.1112, -0.1623, -0.1722, -0.195, -0.195, -0.2035, -0.213, -0.176, -0.1639, -0.1875, -0.2169, -0.2345, -0.2523, -0.2813, -0.2928, -0.3552, -0.3733, -0.387, -0.3599, -0.3625, -0.353, -0.4141, -0.3993, -0.3965, -0.3965, -0.3992, -0.3971, -0.4044, -0.3946, -0.431, -0.4134, -0.4015, -0.3704, -0.4586, -0.4595, -0.4553, -0.4845, -0.4557, -0.4536, -0.4617, -0.4898, -0.4703, -0.4912, -0.4726, -0.4535, -0.4405, -0.4637, -0.466, -0.4744, -0.4653, -0.4764, -0.4686, -0.4741, -0.4888, -0.4954, -0.4716, -0.4843, -0.4825, -0.4825, -0.4672, -0.4838, -0.5118, -0.5147, -0.5174, -0.4986, -0.5097, -0.4705, -0.4454, -0.4612, -0.438, -0.4498, -0.4343, -0.4624, -0.4454, -0.4462, -0.4305, -0.4274, -0.4098, -0.4036, -0.4091, -0.4423, -0.437, -0.391, -0.4211, -0.4363, -0.4317]}
{"unit_id": "quote:1989588771696709742", "ticker_idx": 0, "ts": "2025-11-15T06:58:22+00:00", "symbol": "GOOGL", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Berkshire Hathaway has just purchased a $4.3 billion stake in Alphabet, $GOOGL", "tweet_type": "news_reaction", "timeline": "unspecified", "summary": "Shares Berkshire's $4.3B Alphabet stake alongside bullish AI thesis; implied endorsement of GOOGL long.", "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": "Berkshire Hathaway has just purchased a $4.3 billion stake in Alphabet, $GOOGL. https://t.co/JQhTkZzkB5", "reply_text": null, "parent_text": null, "quoted_text": "I’m convinced that only one company will win the AI arms race.\n\nIt’s simple.\n\nThere are three pillars of the AI ecosystem - Hardware, Models and Distribution.\n\nConquering all 3 means you’ve won the AI race.\n\nAnd currently, only one company is doing that - Google. $GOOG\n\nGoogle https://t.co/vQkUBwGfFf", "parent_author": null, "ret_m1d": -0.030208245720337645, "ret_signed_m1d": -0.030208245720337645, "alpha_spy_m1d": -0.03961229622658169, "alpha_c_m1d": -0.03155745576253177, "bench_spy_m1d": 0.009404050506244044, "bench_c_m1d": 0.0013492100421941267, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.0025962055061871103, "ret_signed_p1d": -0.0025962055061871103, "alpha_spy_p1d": 0.005801347837607773, "alpha_c_p1d": -0.008262679952834362, "bench_spy_p1d": -0.008397553343794883, "bench_c_p1d": 0.005666474446647252, "ret_p1w": 0.11774618035946927, "ret_signed_p1w": 0.11774618035946927, "alpha_spy_p1w": 0.11314940880520363, "alpha_c_p1w": 0.10128637179288225, "bench_spy_p1w": 0.004596771554265633, "bench_c_p1w": 0.01645980856658702, "ret_p1m": 0.07631245698023115, "ret_signed_p1m": 0.07631245698023115, "alpha_spy_p1m": 0.05648278954493979, "alpha_c_p1m": 0.02711292595276249, "bench_spy_p1m": 0.019829667435291354, "bench_c_p1m": 0.04919953102746866, "ret_p3m": 0.07332821530396627, "ret_signed_p3m": 0.07332821530396627, "alpha_spy_p3m": 0.04614585820909034, "alpha_c_p3m": 0.03941079900692146, "bench_spy_p3m": 0.02718235709487593, "bench_c_p3m": 0.03391741629704481, "ret_p6m": 0.40907627008089853, "ret_signed_p6m": 0.40907627008089853, "alpha_spy_p6m": 0.27874131278052605, "alpha_c_p6m": 0.3489570355043392, "bench_spy_p6m": 0.13033495730037248, "bench_c_p6m": 0.06011923457655932, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.07631245698023115, "alpha_spy_stated": 0.05648278954493979, "alpha_c_stated": 0.02711292595276249, "price_path": [-0.3013, -0.2998, -0.2776, -0.2692, -0.2739, -0.2727, -0.2581, -0.2537, -0.2537, -0.2591, -0.1914, -0.1857, -0.1762, -0.1789, -0.1593, -0.1609, -0.1567, -0.1551, -0.1172, -0.1188, -0.1245, -0.1157, -0.1063, -0.114, -0.117, -0.1329, -0.1376, -0.135, -0.1437, -0.1471, -0.1408, -0.138, -0.1392, -0.1214, -0.1377, -0.1417, -0.1526, -0.17, -0.1434, -0.1388, -0.1193, -0.1177, -0.1113, -0.0999, -0.1213, -0.1169, -0.1121, -0.0881, -0.0553, -0.0616, -0.0367, -0.0124, -0.0134, -0.0046, -0.0262, -0.0025, -0.0009, -0.0217, 0.0178, 0.0221, 0.0059, -0.0226, -0.0302, 0.0, -0.0026, 0.0273, 0.0155, 0.0514, 0.1177, 0.1348, 0.1226, 0.1226, 0.1234, 0.1048, 0.108, 0.1214, 0.1144, 0.1272, 0.1014, 0.1132, 0.1242, 0.0969, 0.0859, 0.0821, 0.0763, 0.0417, 0.0619, 0.0784, 0.0876, 0.1036, 0.1027, 0.1007, 0.1009, 0.1019, 0.0989, 0.1064, 0.1113, 0.1036, 0.1304, 0.1426, 0.1536, 0.1651, 0.1795, 0.1791, 0.1683, 0.1586, 0.1586, 0.1305, 0.1529, 0.1605, 0.1513, 0.17, 0.1745, 0.1797, 0.1875, 0.1867, 0.2066, 0.1927, 0.1692, 0.163, 0.1335, 0.1386, 0.1185, 0.0917, 0.0848, 0.0733, 0.0733, 0.0603, 0.0649, 0.0633, 0.1058, 0.0936, 0.0915, 0.0985, 0.0792, 0.0945, 0.0761, 0.0658, 0.0642, 0.0563, 0.0481, 0.0763, 0.0787, 0.0846, 0.0665, 0.062, 0.0735, 0.0924, 0.081, 0.079, 0.0575, 0.0612, 0.0204, 0.0221, -0.013, -0.0362, -0.0391, 0.0103, 0.0448, 0.0391, 0.0391, 0.054, 0.0732, 0.1148, 0.1189, 0.1146, 0.1289, 0.1696, 0.1844, 0.1805, 0.2004, 0.1855, 0.1674, 0.1921, 0.1906, 0.21, 0.2308, 0.2289, 0.2294, 0.3519, 0.355, 0.3465, 0.3647, 0.3984, 0.3983, 0.4081, 0.3654, 0.3609, 0.4145, 0.4091]}
{"unit_id": "orig:1990422918153511200", "ticker_idx": 0, "ts": "2025-11-17T14:12:58+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 is now trading at a significant discount compared to other AI hyper-scalers.", "tweet_type": "analysis", "timeline": "quarters", "summary": "Long AMZN: discounted vs peers, AWS acceleration, e-commerce margin expansion via robotics, 3P shift, and $60B+ ad business growing 20%+ YoY.", "resolved_tickers": ["AMZN"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Internet Retail'", "bench_c_industry": "Internet Retail", "unit_kind": "original", "lang": "en", "tweet_text": "$AMZN is now trading at a significant discount compared to other AI hyper-scalers.\n\nMy thesis for Amazon: \n\n1. AWS is adding massive capacity over the next 2 years. The recent quarter's result, where AWS growth accelerated to ~20% YoY from 17.5% YoY (in the last quarter), is a sign of things to come.\n\n2. Investors are underestimating the margin expansion that's going to come from robotics in their e-commerce division. \n\n3. Amazon is now focusing more on its 3P business over 1P. This is a more profitable and less capital-intensive segment.\n\n4. Amazon’s advertising business is the third largest in the world and is a >$60B business growing at >20% YoY.\n\nAmazon’s unique ability to generate massive, consistent cash flow across multiple dominant segments gives it significant staying power and a clear advantage over cash-burning upstarts.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.007815551004339838, "ret_signed_m1d": 0.007815551004339838, "alpha_spy_m1d": -0.0015884995019042059, "alpha_c_m1d": -0.0016720592502201814, "bench_spy_m1d": 0.009404050506244044, "bench_c_m1d": 0.00948761025456002, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.04431653833391602, "ret_signed_p1d": -0.04431653833391602, "alpha_spy_p1d": -0.03591898499012114, "alpha_c_p1d": -0.025866013557646617, "bench_spy_p1d": -0.008397553343794883, "bench_c_p1d": -0.018450524776269406, "ret_p1w": -0.028299035840037456, "ret_signed_p1w": -0.028299035840037456, "alpha_spy_p1w": -0.03289580739430309, "alpha_c_p1w": -0.027380918978257562, "bench_spy_p1w": 0.004596771554265633, "bench_c_p1w": -0.000918116861779894, "ret_p1m": -0.044273619507766315, "ret_signed_p1m": -0.044273619507766315, "alpha_spy_p1m": -0.06410328694305767, "alpha_c_p1m": -0.11046816739695664, "bench_spy_p1m": 0.019829667435291354, "bench_c_p1m": 0.06619454788919032, "ret_p3m": -0.14634775860198113, "ret_signed_p3m": -0.14634775860198113, "alpha_spy_p3m": -0.17353011569685706, "alpha_c_p3m": -0.1642758024009877, "bench_spy_p3m": 0.02718235709487593, "bench_c_p3m": 0.017928043799006588, "ret_p6m": 0.14750722215727974, "ret_signed_p6m": 0.14750722215727974, "alpha_spy_p6m": 0.01717226485690726, "alpha_c_p6m": 0.1056740461387069, "bench_spy_p6m": 0.13033495730037248, "bench_c_p6m": 0.04183317601857284, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 63, "stated_label": "p3m", "ret_signed_stated": -0.14634775860198113, "alpha_spy_stated": -0.17353011569685706, "alpha_c_stated": -0.1642758024009877, "price_path": [-0.0389, -0.0469, -0.0173, -0.0212, -0.0179, -0.0161, -0.0055, -0.0166, -0.0166, -0.0323, -0.0295, 0.0121, -0.0023, 0.0128, 0.0231, -0.0109, -0.0125, -0.0203, -0.0062, 0.0051, -0.0054, -0.007, -0.006, -0.0225, -0.0522, -0.0544, -0.0632, -0.0562, -0.0459, -0.0571, -0.0526, -0.0449, -0.0574, -0.0514, -0.0476, -0.0329, -0.022, -0.0709, -0.055, -0.0708, -0.0743, -0.079, -0.0852, -0.0704, -0.0465, -0.0641, -0.0506, -0.0372, -0.0253, -0.0155, -0.011, -0.043, 0.0487, 0.0907, 0.0706, 0.0744, 0.0437, 0.0496, 0.0667, 0.0697, 0.0487, 0.0202, 0.0078, 0.0, -0.0443, -0.0437, -0.0675, -0.0523, -0.0283, -0.0137, -0.0159, -0.0159, 0.0015, 0.0043, 0.0067, -0.0021, -0.0161, -0.0143, -0.0257, -0.0213, -0.0047, -0.0111, -0.0287, -0.0444, -0.0443, -0.0498, -0.0262, -0.0237, -0.0191, -0.0031, -0.0021, -0.0015, -0.0034, -0.0015, -0.0088, -0.0274, 0.0008, 0.0346, 0.0373, 0.0576, 0.0623, 0.0584, 0.0418, 0.0162, 0.0228, 0.0268, 0.0268, -0.008, -0.0067, 0.0063, 0.027, 0.0238, 0.0507, 0.0435, 0.038, 0.0276, 0.0433, 0.0247, 0.0005, -0.0437, -0.0968, -0.1037, -0.1113, -0.1236, -0.1429, -0.1463, -0.1463, -0.1362, -0.1206, -0.1203, -0.0977, -0.1185, -0.1044, -0.0955, -0.1071, -0.0982, -0.1051, -0.1037, -0.0689, -0.0598, -0.0844, -0.0832, -0.0796, -0.0868, -0.1002, -0.1082, -0.0907, -0.0759, -0.0988, -0.1035, -0.1181, -0.0976, -0.1101, -0.0909, -0.1088, -0.144, -0.1371, -0.1056, -0.0958, -0.0992, -0.0992, -0.0862, -0.082, -0.0499, 0.0033, 0.0237, 0.0301, 0.0694, 0.0671, 0.0723, 0.076, 0.0662, 0.0732, 0.0966, 0.0954, 0.1336, 0.1213, 0.1152, 0.1296, 0.1382, 0.152, 0.1682, 0.1747, 0.1809, 0.1645, 0.171, 0.1551, 0.1415, 0.16, 0.1475]}
{"unit_id": "thread:1991444484408959189", "ticker_idx": 0, "ts": "2025-11-20T09:52:18+00:00", "symbol": "GOOG", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "There's only one company that will win the AI arms race, and it's Google.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Long GOOG as the sole AI arms-race winner: proprietary TPUs, unmatched data, top balance sheet, and full-stack hardware/model/distribution 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": "self_thread", "lang": "en", "tweet_text": "Google just dropped Gemini 3, and it’s beating every other model in the reasoning benchmark. \n\nHere’s the crazy part: $GOOG used its own processors (TPUs) to train the model. \n\nThere’s only one company that will win the AI arms race, and it’s Google. \n\nThey have a massive user base across apps, more data than anyone else, and one of the strongest balance sheets in the world. \n\nIt’s also the only company with everything one needs to dominate AI - Hardware, models, and distribution.\n\n---\n\nBenchmark stats: \n\nhttps://x.com/DeryaTR_/status/1990764528309797303", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.010379841657248479, "ret_signed_m1d": 0.010379841657248479, "alpha_spy_m1d": -0.00509830712152648, "alpha_c_m1d": -0.000714055124400037, "bench_spy_m1d": 0.015478148778774958, "bench_c_m1d": 0.011093896781648516, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.033346942967548365, "ret_signed_p1d": 0.033346942967548365, "alpha_spy_p1d": 0.02338571048748528, "alpha_c_p1d": 0.01579672756441286, "bench_spy_p1d": 0.009961232480063087, "bench_c_p1d": 0.017550215403135505, "ret_p1w": 0.10448972412863711, "ret_signed_p1w": 0.10448972412863711, "alpha_spy_p1w": 0.0628824970314743, "alpha_c_p1w": 0.06366040088000258, "bench_spy_p1w": 0.0416072270971628, "bench_c_p1w": 0.04082932324863453, "ret_p1m": 0.0649399935340178, "ret_signed_p1m": 0.0649399935340178, "alpha_spy_p1m": 0.01885619585999354, "alpha_c_p1m": 0.0053783435877925445, "bench_spy_p1m": 0.04608379767402426, "bench_c_p1m": 0.05956164994622526, "ret_p3m": 0.04751358098790348, "ret_signed_p3m": 0.04751358098790348, "alpha_spy_p3m": -0.004549068742753404, "alpha_c_p3m": -0.00288877158578571, "bench_spy_p3m": 0.052062649730656885, "bench_c_p3m": 0.05040235257368919, "ret_p6m": 0.3291344167192669, "ret_signed_p6m": 0.3291344167192669, "alpha_spy_p6m": 0.19829323528791498, "alpha_c_p6m": 0.26888223344315243, "bench_spy_p6m": 0.13084118143135193, "bench_c_p6m": 0.06025218327611448, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.0649399935340178, "alpha_spy_stated": 0.01885619585999354, "alpha_c_stated": 0.0053783435877925445, "price_path": [-0.2794, -0.2835, -0.2826, -0.2683, -0.2643, -0.2643, -0.2696, -0.2038, -0.1984, -0.1897, -0.1925, -0.1726, -0.1739, -0.1697, -0.1676, -0.1318, -0.133, -0.1384, -0.1298, -0.1198, -0.1279, -0.1298, -0.1454, -0.1497, -0.1476, -0.1573, -0.1601, -0.1533, -0.1502, -0.1501, -0.1327, -0.1478, -0.1535, -0.1647, -0.181, -0.1564, -0.151, -0.132, -0.1314, -0.1248, -0.1137, -0.1333, -0.1291, -0.125, -0.1016, -0.0691, -0.0743, -0.0511, -0.0279, -0.0281, -0.0202, -0.0411, -0.018, -0.016, -0.0355, 0.0021, 0.0061, -0.0088, -0.0375, -0.0448, -0.0151, -0.0173, 0.0104, 0.0, 0.0333, 0.0982, 0.1161, 0.1045, 0.1045, 0.1039, 0.0867, 0.0898, 0.1057, 0.098, 0.1107, 0.0851, 0.0965, 0.1077, 0.0825, 0.0715, 0.0674, 0.0619, 0.0285, 0.0482, 0.0649, 0.0743, 0.0893, 0.0893, 0.0869, 0.0849, 0.0854, 0.0828, 0.0881, 0.095, 0.0854, 0.1126, 0.125, 0.1358, 0.1482, 0.1609, 0.1605, 0.1497, 0.1399, 0.1399, 0.1117, 0.1332, 0.1417, 0.1333, 0.1511, 0.156, 0.1604, 0.1686, 0.1682, 0.1902, 0.1757, 0.1503, 0.1433, 0.1149, 0.1194, 0.0995, 0.0743, 0.0676, 0.056, 0.056, 0.045, 0.0488, 0.0475, 0.0866, 0.0756, 0.0729, 0.0802, 0.0599, 0.0747, 0.0572, 0.0475, 0.0471, 0.0384, 0.0294, 0.0567, 0.0599, 0.065, 0.047, 0.041, 0.0512, 0.0685, 0.0577, 0.0557, 0.0318, 0.0326, -0.0013, 0.0, -0.0306, -0.0547, -0.0568, -0.0094, 0.0183, 0.0168, 0.0168, 0.0279, 0.0495, 0.0869, 0.0925, 0.0902, 0.1023, 0.1416, 0.155, 0.1491, 0.172, 0.1582, 0.1412, 0.1662, 0.1663, 0.1821, 0.2035, 0.2, 0.1993, 0.3189, 0.3233, 0.311, 0.327, 0.3645, 0.365, 0.3711, 0.3356, 0.3254, 0.378, 0.3715, 0.3582, 0.3575, 0.3291]}
{"unit_id": "orig:1991525099397345414", "ticker_idx": 0, "ts": "2025-11-20T15:12:39+00:00", "symbol": "GOOG", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$GOOG will be the most valuable company in the world by the end of 2026", "tweet_type": "prediction", "timeline": "years", "summary": "GOOG will be the world's most valuable company by end of 2026; strongly bullish.", "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": "original", "lang": "en", "tweet_text": "Calling it now. \n\n$GOOG will be the most valuable company in the world by the end of 2026.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.010379841657248479, "ret_signed_m1d": 0.010379841657248479, "alpha_spy_m1d": -0.00509830712152648, "alpha_c_m1d": -0.000714055124400037, "bench_spy_m1d": 0.015478148778774958, "bench_c_m1d": 0.011093896781648516, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.033346942967548365, "ret_signed_p1d": 0.033346942967548365, "alpha_spy_p1d": 0.02338571048748528, "alpha_c_p1d": 0.01579672756441286, "bench_spy_p1d": 0.009961232480063087, "bench_c_p1d": 0.017550215403135505, "ret_p1w": 0.10448972412863711, "ret_signed_p1w": 0.10448972412863711, "alpha_spy_p1w": 0.0628824970314743, "alpha_c_p1w": 0.06366040088000258, "bench_spy_p1w": 0.0416072270971628, "bench_c_p1w": 0.04082932324863453, "ret_p1m": 0.0649399935340178, "ret_signed_p1m": 0.0649399935340178, "alpha_spy_p1m": 0.01885619585999354, "alpha_c_p1m": 0.0053783435877925445, "bench_spy_p1m": 0.04608379767402426, "bench_c_p1m": 0.05956164994622526, "ret_p3m": 0.04751358098790348, "ret_signed_p3m": 0.04751358098790348, "alpha_spy_p3m": -0.004549068742753404, "alpha_c_p3m": -0.00288877158578571, "bench_spy_p3m": 0.052062649730656885, "bench_c_p3m": 0.05040235257368919, "ret_p6m": 0.3291344167192669, "ret_signed_p6m": 0.3291344167192669, "alpha_spy_p6m": 0.19829323528791498, "alpha_c_p6m": 0.26888223344315243, "bench_spy_p6m": 0.13084118143135193, "bench_c_p6m": 0.06025218327611448, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 252, "stated_label": "p1y", "ret_signed_stated": null, "alpha_spy_stated": null, "alpha_c_stated": null, "price_path": [-0.2794, -0.2835, -0.2826, -0.2683, -0.2643, -0.2643, -0.2696, -0.2038, -0.1984, -0.1897, -0.1925, -0.1726, -0.1739, -0.1697, -0.1676, -0.1318, -0.133, -0.1384, -0.1298, -0.1198, -0.1279, -0.1298, -0.1454, -0.1497, -0.1476, -0.1573, -0.1601, -0.1533, -0.1502, -0.1501, -0.1327, -0.1478, -0.1535, -0.1647, -0.181, -0.1564, -0.151, -0.132, -0.1314, -0.1248, -0.1137, -0.1333, -0.1291, -0.125, -0.1016, -0.0691, -0.0743, -0.0511, -0.0279, -0.0281, -0.0202, -0.0411, -0.018, -0.016, -0.0355, 0.0021, 0.0061, -0.0088, -0.0375, -0.0448, -0.0151, -0.0173, 0.0104, 0.0, 0.0333, 0.0982, 0.1161, 0.1045, 0.1045, 0.1039, 0.0867, 0.0898, 0.1057, 0.098, 0.1107, 0.0851, 0.0965, 0.1077, 0.0825, 0.0715, 0.0674, 0.0619, 0.0285, 0.0482, 0.0649, 0.0743, 0.0893, 0.0893, 0.0869, 0.0849, 0.0854, 0.0828, 0.0881, 0.095, 0.0854, 0.1126, 0.125, 0.1358, 0.1482, 0.1609, 0.1605, 0.1497, 0.1399, 0.1399, 0.1117, 0.1332, 0.1417, 0.1333, 0.1511, 0.156, 0.1604, 0.1686, 0.1682, 0.1902, 0.1757, 0.1503, 0.1433, 0.1149, 0.1194, 0.0995, 0.0743, 0.0676, 0.056, 0.056, 0.045, 0.0488, 0.0475, 0.0866, 0.0756, 0.0729, 0.0802, 0.0599, 0.0747, 0.0572, 0.0475, 0.0471, 0.0384, 0.0294, 0.0567, 0.0599, 0.065, 0.047, 0.041, 0.0512, 0.0685, 0.0577, 0.0557, 0.0318, 0.0326, -0.0013, 0.0, -0.0306, -0.0547, -0.0568, -0.0094, 0.0183, 0.0168, 0.0168, 0.0279, 0.0495, 0.0869, 0.0925, 0.0902, 0.1023, 0.1416, 0.155, 0.1491, 0.172, 0.1582, 0.1412, 0.1662, 0.1663, 0.1821, 0.2035, 0.2, 0.1993, 0.3189, 0.3233, 0.311, 0.327, 0.3645, 0.365, 0.3711, 0.3356, 0.3254, 0.378, 0.3715, 0.3582, 0.3575, 0.3291]}
{"unit_id": "thread:1992912010632475131", "ticker_idx": 0, "ts": "2025-11-24T11:03:44+00:00", "symbol": "ADBE", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "We now have one of the best opportunities to invest in the company with the management aggressively repurchasing shares.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish ADBE: P/E at 2012 lows, AI integration ahead of upstarts, financials solid, share buybacks, enterprise moat via copyright guarantee.", "resolved_tickers": ["ADBE"], "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": "On $ADBE\n\nThe company has now lost half its value amid growing concerns about the impact of Gen-AI tools. The last time Adobe traded at its current P/E level was in 2012,  before it moved to a subscription model!\n\nWe now have one of the best opportunities to invest in the company with the management aggressively repurchasing shares.\n\nWhile hobbyists may shift away from Adobe, the majority of Adobe’s revenue comes from professionals. Most professionals will not mess with their workflow just to gain some additional features (Look at how Excel is still thriving).\n\nAdobe has been doing this for 4 decades, and it’s more likely that Adobe will successfully integrate AI into its products than that an AI upstart will replace it.\n\nAdobe has already embedded most models (Gemini, Runway, etc.) into its ecosystem and, more importantly, has given an uncapped legal guarantee against copyright to enterprise clients.\n\nFor all the talk about “disruption”, the financials show no sign of slowing: Revenue was up 11% YoY, and net income was up 10.6%.\n\nAI-first ARR (Firefly, Acrobat AI Assistant, GenStudio for Performance Marketing) already beat the >$250M FY25 target.\n\nThe negative sentiment stems mainly from hobbyists who may feel Adobe’s Creative Cloud is expensive. \n\nBut for a design professional making $100K+, paying $70 per month to Adobe is a no-brainer.\n\n---\n\nOn the risk of seat compression: \n\nhttps://t.co/wuEZmq2MCb", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.017130459219016902, "ret_signed_m1d": 0.017130459219016902, "alpha_spy_m1d": 0.03163538833842339, "alpha_c_m1d": 0.03163538833842339, "bench_spy_m1d": -0.014504929119406484, "bench_c_m1d": -0.014504929119406484, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0025726375878543095, "ret_signed_p1d": 0.0025726375878543095, "alpha_spy_p1d": -0.006833383369875712, "alpha_c_p1d": -0.006833383369875712, "bench_spy_p1d": 0.009406020957730021, "bench_c_p1d": 0.009406020957730021, "ret_p1w": 0.012926285492972367, "ret_signed_p1w": 0.012926285492972367, "alpha_spy_p1w": -0.00433032577746717, "alpha_c_p1w": -0.00433032577746717, "bench_spy_p1w": 0.017256611270439537, "bench_c_p1w": 0.017256611270439537, "ret_p1m": 0.10570075386735822, "ret_signed_p1m": 0.10570075386735822, "alpha_spy_p1m": 0.07390479559434815, "alpha_c_p1m": 0.07390479559434815, "bench_spy_p1m": 0.03179595827301007, "bench_c_p1m": 0.03179595827301007, "ret_p3m": -0.2260534490855881, "ret_signed_p3m": -0.2260534490855881, "alpha_spy_p3m": -0.24949561655086017, "alpha_c_p3m": -0.24949561655086017, "bench_spy_p3m": 0.023442167465272057, "bench_c_p3m": 0.023442167465272057, "ret_p6m": -0.23414803222283875, "ret_signed_p6m": -0.23414803222283875, "alpha_spy_p6m": -0.3511146314157302, "alpha_c_p6m": -0.3511146314157302, "bench_spy_p6m": 0.11696659919289143, "bench_c_p6m": 0.11696659919289143, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.10570075386735822, "alpha_spy_stated": 0.07390479559434815, "alpha_c_stated": 0.07390479559434815, "price_path": [0.118, 0.1105, 0.1191, 0.1191, 0.0844, 0.0934, 0.0803, 0.0949, 0.1253, 0.1108, 0.0986, 0.0998, 0.0961, 0.089, 0.1067, 0.136, 0.1529, 0.148, 0.1423, 0.1351, 0.1084, 0.1112, 0.1306, 0.1277, 0.1067, 0.0784, 0.1028, 0.0879, 0.0985, 0.0928, 0.0942, 0.0902, 0.0589, 0.0646, 0.054, 0.0373, 0.0329, 0.0456, 0.0774, 0.1218, 0.1109, 0.111, 0.1092, 0.1226, 0.1292, 0.06, 0.0643, 0.0677, 0.0588, 0.0521, 0.0527, 0.027, 0.0258, 0.0318, 0.0455, 0.0575, 0.0467, 0.0388, 0.0199, 0.018, -0.0019, -0.0199, 0.0171, 0.0, 0.0026, -0.0038, -0.0038, 0.0044, 0.0129, 0.0128, 0.0253, 0.0314, 0.0864, 0.064, 0.0803, 0.0766, 0.0995, 0.1183, 0.1017, 0.0915, 0.1127, 0.1163, 0.1165, 0.1217, 0.1057, 0.1075, 0.11, 0.108, 0.106, 0.0981, 0.0457, 0.0403, 0.0542, 0.0608, 0.0637, 0.0478, 0.028, -0.0276, -0.0448, -0.0459, -0.0709, -0.0709, -0.089, -0.0769, -0.0596, -0.0554, -0.044, -0.0669, -0.0601, -0.085, -0.0799, -0.0795, -0.1468, -0.1224, -0.1548, -0.158, -0.1626, -0.1696, -0.1932, -0.1764, -0.1718, -0.1718, -0.1829, -0.1743, -0.1867, -0.1886, -0.2261, -0.1994, -0.1911, -0.1873, -0.1767, -0.1815, -0.1498, -0.1431, -0.1161, -0.1102, -0.1139, -0.1368, -0.1412, -0.1536, -0.2178, -0.2098, -0.2025, -0.2282, -0.2282, -0.2214, -0.223, -0.2506, -0.2556, -0.2443, -0.2632, -0.2435, -0.2373, -0.2427, -0.2379, -0.2379, -0.2333, -0.2466, -0.2492, -0.2786, -0.293, -0.2467, -0.2604, -0.2324, -0.2214, -0.233, -0.2199, -0.2245, -0.197, -0.2502, -0.2299, -0.2492, -0.237, -0.2358, -0.2279, -0.2134, -0.2032, -0.198, -0.2151, -0.1952, -0.2061, -0.2277, -0.2444, -0.2593, -0.2564, -0.2232, -0.1979, -0.2, -0.2051, -0.2341]}
{"unit_id": "quote:1992931127737381284", "ticker_idx": 0, "ts": "2025-11-24T12:19:42+00:00", "symbol": "ADBE", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "If their product is so good that one person can do 3x the work, they can easily charge 10x the current pricing.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish ADBE: seat compression risk offset by massive pricing power headroom vs. cost of a designer.", "resolved_tickers": ["ADBE"], "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": "Simple. \n\n$ADBE subscription costs $70 per month, whereas a designer costs $10K per month. \n\nIf their product is so good that one person can do 3x the work, they can easily charge 10x the current pricing.", "reply_text": null, "parent_text": null, "quoted_text": "$ADBE bulls - what’s your take on seat compression risk?", "parent_author": null, "ret_m1d": 0.017130459219016902, "ret_signed_m1d": 0.017130459219016902, "alpha_spy_m1d": 0.03163538833842339, "alpha_c_m1d": 0.03163538833842339, "bench_spy_m1d": -0.014504929119406484, "bench_c_m1d": -0.014504929119406484, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0025726375878543095, "ret_signed_p1d": 0.0025726375878543095, "alpha_spy_p1d": -0.006833383369875712, "alpha_c_p1d": -0.006833383369875712, "bench_spy_p1d": 0.009406020957730021, "bench_c_p1d": 0.009406020957730021, "ret_p1w": 0.012926285492972367, "ret_signed_p1w": 0.012926285492972367, "alpha_spy_p1w": -0.00433032577746717, "alpha_c_p1w": -0.00433032577746717, "bench_spy_p1w": 0.017256611270439537, "bench_c_p1w": 0.017256611270439537, "ret_p1m": 0.10570075386735822, "ret_signed_p1m": 0.10570075386735822, "alpha_spy_p1m": 0.07390479559434815, "alpha_c_p1m": 0.07390479559434815, "bench_spy_p1m": 0.03179595827301007, "bench_c_p1m": 0.03179595827301007, "ret_p3m": -0.2260534490855881, "ret_signed_p3m": -0.2260534490855881, "alpha_spy_p3m": -0.24949561655086017, "alpha_c_p3m": -0.24949561655086017, "bench_spy_p3m": 0.023442167465272057, "bench_c_p3m": 0.023442167465272057, "ret_p6m": -0.23414803222283875, "ret_signed_p6m": -0.23414803222283875, "alpha_spy_p6m": -0.3511146314157302, "alpha_c_p6m": -0.3511146314157302, "bench_spy_p6m": 0.11696659919289143, "bench_c_p6m": 0.11696659919289143, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.10570075386735822, "alpha_spy_stated": 0.07390479559434815, "alpha_c_stated": 0.07390479559434815, "price_path": [0.118, 0.1105, 0.1191, 0.1191, 0.0844, 0.0934, 0.0803, 0.0949, 0.1253, 0.1108, 0.0986, 0.0998, 0.0961, 0.089, 0.1067, 0.136, 0.1529, 0.148, 0.1423, 0.1351, 0.1084, 0.1112, 0.1306, 0.1277, 0.1067, 0.0784, 0.1028, 0.0879, 0.0985, 0.0928, 0.0942, 0.0902, 0.0589, 0.0646, 0.054, 0.0373, 0.0329, 0.0456, 0.0774, 0.1218, 0.1109, 0.111, 0.1092, 0.1226, 0.1292, 0.06, 0.0643, 0.0677, 0.0588, 0.0521, 0.0527, 0.027, 0.0258, 0.0318, 0.0455, 0.0575, 0.0467, 0.0388, 0.0199, 0.018, -0.0019, -0.0199, 0.0171, 0.0, 0.0026, -0.0038, -0.0038, 0.0044, 0.0129, 0.0128, 0.0253, 0.0314, 0.0864, 0.064, 0.0803, 0.0766, 0.0995, 0.1183, 0.1017, 0.0915, 0.1127, 0.1163, 0.1165, 0.1217, 0.1057, 0.1075, 0.11, 0.108, 0.106, 0.0981, 0.0457, 0.0403, 0.0542, 0.0608, 0.0637, 0.0478, 0.028, -0.0276, -0.0448, -0.0459, -0.0709, -0.0709, -0.089, -0.0769, -0.0596, -0.0554, -0.044, -0.0669, -0.0601, -0.085, -0.0799, -0.0795, -0.1468, -0.1224, -0.1548, -0.158, -0.1626, -0.1696, -0.1932, -0.1764, -0.1718, -0.1718, -0.1829, -0.1743, -0.1867, -0.1886, -0.2261, -0.1994, -0.1911, -0.1873, -0.1767, -0.1815, -0.1498, -0.1431, -0.1161, -0.1102, -0.1139, -0.1368, -0.1412, -0.1536, -0.2178, -0.2098, -0.2025, -0.2282, -0.2282, -0.2214, -0.223, -0.2506, -0.2556, -0.2443, -0.2632, -0.2435, -0.2373, -0.2427, -0.2379, -0.2379, -0.2333, -0.2466, -0.2492, -0.2786, -0.293, -0.2467, -0.2604, -0.2324, -0.2214, -0.233, -0.2199, -0.2245, -0.197, -0.2502, -0.2299, -0.2492, -0.237, -0.2358, -0.2279, -0.2134, -0.2032, -0.198, -0.2151, -0.1952, -0.2061, -0.2277, -0.2444, -0.2593, -0.2564, -0.2232, -0.1979, -0.2, -0.2051, -0.2341]}
{"unit_id": "orig:1993643952902447367", "ticker_idx": 0, "ts": "2025-11-26T11:32:13+00:00", "symbol": "MORN", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "the key risk everyone is missing is seat-count deflation due to AI… no way these companies can bump up their prices proportionally", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bearish on MORN, FDS, LSEG: AI-driven seat-count deflation will erode per-seat subscription volumes faster than price increases can offset.", "resolved_tickers": ["MORN"], "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": "original", "lang": "en", "tweet_text": "There is a lot of discussion around why high-quality financial stocks like Morningstar, FactSet, LSEG, etc., are in a drawdown.\n\nWhile macroeconomic issues are definitely there (high interest rate dampening deal flow), the key risk everyone is missing is seat-count deflation due to AI.\n\nInvestors used to assign a premium valuation to these companies, driven by the historically sticky nature of their ~$20,000-per-seat subscriptions for financial institutions.\n\nBut now the issue is that if one analyst can do the job of 3 to 5 analysts using AI, there is no way these companies can bump up their prices proportionally.\n\nBoth Citigroup and Morgan Stanley have now cut thousands of jobs, highlighting AI optimization & reduced need for grunt work.\n\nGoldman Sachs hasn't done a layoff but has slowed replacement hiring, effectively shrinking the size of the new batch.\n\nIt will be interesting to see how this will play out.\n\n$MORN $FDS $LSEG", "reply_text": null, "parent_text": null, "quoted_text": 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{"unit_id": "orig:1993643952902447367", "ticker_idx": 1, "ts": "2025-11-26T11:32:13+00:00", "symbol": "FDS", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "the key risk everyone is missing is seat-count deflation due to AI… no way these companies can bump up their prices proportionally", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bearish on MORN, FDS, LSEG: AI-driven seat-count deflation will erode per-seat subscription volumes faster than price increases can offset.", "resolved_tickers": ["FDS"], "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": "original", "lang": "en", "tweet_text": "There is a lot of discussion around why high-quality financial stocks like Morningstar, FactSet, LSEG, etc., are in a drawdown.\n\nWhile macroeconomic issues are definitely there (high interest rate dampening deal flow), the key risk everyone is missing is seat-count deflation due to AI.\n\nInvestors used to assign a premium valuation to these companies, driven by the historically sticky nature of their ~$20,000-per-seat subscriptions for financial institutions.\n\nBut now the issue is that if one analyst can do the job of 3 to 5 analysts using AI, there is no way these companies can bump up their prices proportionally.\n\nBoth Citigroup and Morgan Stanley have now cut thousands of jobs, highlighting AI optimization & reduced need for grunt work.\n\nGoldman Sachs hasn't done a layoff but has slowed replacement hiring, effectively shrinking the size of the new batch.\n\nIt will be interesting to see how this will play out.\n\n$MORN $FDS $LSEG", "reply_text": null, "parent_text": null, "quoted_text": 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{"unit_id": "orig:1993643952902447367", "ticker_idx": 2, "ts": "2025-11-26T11:32:13+00:00", "symbol": "LSEG", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "the key risk everyone is missing is seat-count deflation due to AI… no way these companies can bump up their prices proportionally", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bearish on MORN, FDS, LSEG: AI-driven seat-count deflation will erode per-seat subscription volumes faster than price increases can offset.", "resolved_tickers": ["LSEG.L"], "resolution_method": "exchange_ticker", "resolution_reason": "London Stock Exchange Group trades on LSE as LSEG.L", "bench_c": "XLF", "bench_c_reason": "industry='Financial Data & Stock Exchanges'", "bench_c_industry": "Financial Data & Stock Exchanges", "unit_kind": "original", "lang": "en", "tweet_text": "There is a lot of discussion around why high-quality financial stocks like Morningstar, FactSet, LSEG, etc., are in a drawdown.\n\nWhile macroeconomic issues are definitely there (high interest rate dampening deal flow), the key risk everyone is missing is seat-count deflation due to AI.\n\nInvestors used to assign a premium valuation to these companies, driven by the historically sticky nature of their ~$20,000-per-seat subscriptions for financial institutions.\n\nBut now the issue is that if one analyst can do the job of 3 to 5 analysts using AI, there is no way these companies can bump up their prices proportionally.\n\nBoth Citigroup and Morgan Stanley have now cut thousands of jobs, highlighting AI optimization & reduced need for grunt work.\n\nGoldman Sachs hasn't done a layoff but has slowed replacement hiring, effectively shrinking the size of the new batch.\n\nIt will be interesting to see how this will play out.\n\n$MORN $FDS $LSEG", "reply_text": null, "parent_text": null, "quoted_text": 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{"unit_id": "orig:1993838915187560878", "ticker_idx": 0, "ts": "2025-11-27T00:26:55+00:00", "symbol": "ABNB", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Two long-term catalysts can re-rate the company. 1. Take rate expansion... 2. Airbnb Experiences", "tweet_type": "analysis", "timeline": "years", "summary": "Long ABNB on two re-rating catalysts: take rate expansion and Experiences becoming a standalone market, backed by improving fundamentals.", "resolved_tickers": ["ABNB"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Travel Services'", "bench_c_industry": "Travel Services", "unit_kind": "original", "lang": "en", "tweet_text": "While $ABNB is still down 16% from its listing price five years ago, underlying fundamentals are improving. \n\n- Revenue has nearly doubled from $6bn in 2021 to an estimated $12bn in 2025.\n\n- EBITDA margins have risen to an industry-leading 35%.\n\n- Strong balance sheet with ~$10 bn cash and minimal debt.\n\n- Still founder-led.\n\nTwo long-term catalysts can re-rate the company. \n\n1. Take rate expansion: “Take rate” is how much money Airbnb makes for every booking on its platform. The number has been slowly creeping up (from 12.8% in 2021 to 13.8% in 2025). I expect this % to go up as Airbnb grows and matures. The incremental benefit a new host brings to the marketplace is less valuable once the platform is big enough. \n\n2. Airbnb Experiences: Airbnb CEO Brian Chesky, during their latest earnings call, said that \"In Q3, almost half of the people who booked an experience did not have an Airbnb stay. So we’re giving people another reason to use Airbnb.\"\n\nThis is incredible, as it looks like Airbnb Experiences is becoming a whole new market rather than just something you cross-sell to customers who are already booking an Airbnb room.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.0021369348197708415, "ret_signed_m1d": -0.0021369348197708415, "alpha_spy_m1d": 0.0032918666537725683, "alpha_c_m1d": 0.004037448668570143, "bench_spy_m1d": -0.00542880147354341, "bench_c_m1d": -0.006174383488340984, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.015471452440711797, "ret_signed_p1d": 0.015471452440711797, "alpha_spy_p1d": 0.020037012794152598, "alpha_c_p1d": 0.014879409613164585, "bench_spy_p1d": -0.004565560353440801, "bench_c_p1d": 0.0005920428275472123, "ret_p1w": 0.06265494456705767, "ret_signed_p1w": 0.06265494456705767, "alpha_spy_p1w": 0.05928942084688282, "alpha_c_p1w": 0.049967765390813934, "bench_spy_p1w": 0.0033655237201748456, "bench_c_p1w": 0.012687179176243735, "ret_p1m": 0.1702710160020342, "ret_signed_p1m": 0.1702710160020342, "alpha_spy_p1m": 0.16200331651980782, "alpha_c_p1m": 0.1502378966588589, "bench_spy_p1m": 0.008267699482226387, "bench_c_p1m": 0.02003311934317531, "ret_p3m": 0.15488505921405427, "ret_signed_p3m": 0.15488505921405427, "alpha_spy_p3m": 0.1481143887721561, "alpha_c_p3m": 0.16451386978378446, "bench_spy_p3m": 0.006770670441898163, "bench_c_p3m": -0.009628810569730195, "ret_p6m": 0.12915641093814823, "ret_signed_p6m": 0.12915641093814823, "alpha_spy_p6m": 0.024760518078384308, "alpha_c_p6m": 0.09696882112956828, "bench_spy_p6m": 0.10439589285976392, "bench_c_p6m": 0.03218758980857994, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 252, "stated_label": "p1y", "ret_signed_stated": null, "alpha_spy_stated": null, "alpha_c_stated": null, "price_path": [0.0906, 0.0676, 0.0716, 0.0583, 0.0652, 0.0583, 0.0549, 0.0518, 0.0475, 0.0289, 0.0399, 0.0531, 0.0725, 0.0859, 0.0722, 0.0556, 0.0521, 0.0407, 0.0574, 0.0507, 0.0379, 0.0456, 0.0385, 0.0276, 0.0287, 0.0244, 0.0256, 0.027, 0.0103, 0.016, 0.0504, 0.0621, 0.0504, 0.0762, 0.0874, 0.0989, 0.0898, 0.0886, 0.094, 0.1033, 0.0942, 0.0811, 0.0799, 0.0816, 0.0839, 0.0458, 0.0471, 0.0303, 0.0333, 0.0274, 0.0474, 0.0402, 0.0359, 0.043, 0.0052, -0.0134, -0.0218, -0.0466, -0.0233, -0.0221, 0.0134, -0.0021, -0.0021, 0.0, 0.0155, 0.0129, 0.0268, 0.0327, 0.0627, 0.0429, 0.0718, 0.0904, 0.0941, 0.0974, 0.1267, 0.1284, 0.1435, 0.1453, 0.1563, 0.1706, 0.1667, 0.1692, 0.1695, 0.1678, 0.1703, 0.1601, 0.1369, 0.1614, 0.1798, 0.1714, 0.1852, 0.1904, 0.1839, 0.1973, 0.1351, 0.1334, 0.1168, 0.1168, 0.1174, 0.1419, 0.1437, 0.1296, 0.1402, 0.1302, 0.1245, 0.1263, 0.1058, 0.1224, 0.0435, 0.0651, 0.0366, 0.0444, 0.0369, 0.0285, 0.0219, -0.0088, 0.0373, 0.0373, 0.0619, 0.0622, 0.0754, 0.0932, 0.051, 0.0741, 0.1285, 0.1708, 0.1549, 0.1391, 0.1372, 0.1586, 0.1612, 0.1388, 0.1457, 0.1321, 0.1402, 0.0915, 0.0796, 0.0968, 0.1279, 0.1209, 0.118, 0.0986, 0.1333, 0.1112, 0.1267, 0.1203, 0.0503, 0.0522, 0.0794, 0.0701, 0.068, 0.068, 0.0839, 0.0682, 0.1232, 0.104, 0.1023, 0.1139, 0.1441, 0.1754, 0.178, 0.2099, 0.2274, 0.2193, 0.2324, 0.2127, 0.2208, 0.2057, 0.1885, 0.1991, 0.1998, 0.2109, 0.1869, 0.1944, 0.1957, 0.2006, 0.2094, 0.1715, 0.158, 0.1366, 0.1426, 0.1356, 0.148, 0.1211, 0.1586, 0.1475, 0.1313, 0.1313, 0.1341, 0.1292]}
{"unit_id": "orig:1998343655170441402", "ticker_idx": 0, "ts": "2025-12-09T10:47:09+00:00", "symbol": "AMZN", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Just as $GOOG repriced in 2025, $AMZN will be next in 2026", "tweet_type": "analysis", "timeline": "quarters", "summary": "Long AMZN: custom Trainium chips + Anthropic partnership to drive AWS growth above market expectations, repricing in 2026.", "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": "Just as $GOOG repriced in 2025, $AMZN will be next in 2026. \n\nAmazon's largest AI data center is already operational in Indiana, with half a million AWS Trainium2 chips entirely devoted to Anthropic. \n\nBy 2027, it's expected to ramp up to 2.2 gigawatts, exclusively for AI workloads.\n\nThe Trainium chips are custom-designed by Amazon to reduce data center costs (by avoiding paying the Nvidia premium). \n\nThe chips are now so good that they compete effectively with Nvidia GPUs and Google's TPUs.\n\nThe recent quarter's result, where AWS growth accelerated to ~20% YoY from 17.5% YoY (in the last quarter), is a sign of things to come.\n\nThis silicon strategy, coupled with the long-term Anthropic partnership, is why I expect AWS's growth rate to exceed market expectations in the coming quarters.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.004519124199594771, "ret_signed_m1d": -0.004519124199594771, "alpha_spy_m1d": -0.005382987910228287, "alpha_c_m1d": -0.004603760146947078, "bench_spy_m1d": 0.0008638637106335167, "bench_c_m1d": 8.463594735230728e-05, "ret_t0": 0.0, 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{"unit_id": "orig:2001271137846874364", "ticker_idx": 0, "ts": "2025-12-17T12:39:55+00:00", "symbol": "AMZN", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Amazon is the most misunderstood company going into 2026. The company's underlying valuation has declined consistently over the past 5 years and is now trading at a significant discount relative to other AI hyper-scalers.", "tweet_type": "analysis", "timeline": "quarters", "summary": "Long AMZN into 2026: trades at discount to AI hyper-scalers despite accelerating AWS growth, 23%-growing ad business, and high-margin 3P shift providing AI-slowdown hedge.", "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": "Amazon is the most misunderstood company going into 2026.\n\nThe company’s underlying valuation has declined consistently over the past 5 years and is now trading at a significant discount relative to other AI hyper-scalers.\n\nBut under the hood, Amazon’s all high-margin businesses are growing rapidly.\n\nAmazon Advertising: Is now a $60B business growing at 23% YoY (faster than Meta & Google)\n\nAmazon Third Party: Latest earnings reports indicate that Amazon is now focusing on third-party (3P) e-commerce, which yields higher margins.\n\nAmazon Web Services: The elephant in the room — AWS is critical to Amazon, and they have showcased impressive progress on their custom silicon program (Trainium 3), and we expect rapid adoption given its cost advantage. \n\nThe recent quarter's results, in which AWS growth accelerated to ~20% YoY from 17.5% last year, are a sign of things to come.\n\nFinally, given the diversity of its revenue streams, Amazon stands to lose the least in the event of an AI slowdown.\n\nA classic Heads I Win, Tails I Don’t Lose (Much)!", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.005829951015612567, "ret_signed_m1d": 0.005829951015612567, "alpha_spy_m1d": -0.005296069176634166, "alpha_c_m1d": 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{"unit_id": "orig:2008881232868688369", "ticker_idx": 0, "ts": "2026-01-07T12:39:43+00:00", "symbol": "GOOG", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Unless OpenAI pulls a rabbit out of the hat with its next update, Google will continue to gain market share", "tweet_type": "analysis", "timeline": "months", "summary": "Long GOOG: Gemini gaining AI market share (21% from 6% YoY), with advantages in foundation models, proprietary GPU infrastructure, and unmatched distribution vs OpenAI.", "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": "original", "lang": "en", "tweet_text": "On $GOOG\n\nEvery day, we get more insight into why OpenAI has declared a “Code Red” against Google.\n\nGemini has consistently gained market share relative to ChatGPT over the last 3 months. Gemini’s market share is now 21%, up from 13% 3 months ago and just 6% a year back.\n\nUnless OpenAI pulls a rabbit out of the hat with its next update, Google will continue to gain market share (just like how it did with browsers 20 years ago!).\n\n1. Foundation Models: The latest Gemini 3 models are either better or as good as OpenAI’s models.\n\n2. Infrastructure: Google has its own GPUs, which give it a cost advantage. This allows Google to offer services at a lower cost and, in some cases, free versions with more features.\n\n3. Distribution: Google has multiple touch points with customers - something that OpenAI cannot replicate in a hurry.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.02443942614189809, "ret_signed_m1d": -0.02443942614189809, "alpha_spy_m1d": -0.027673262410640165, "alpha_c_m1d": -0.02648920690638623, "bench_spy_m1d": 0.003233836268742074, "bench_c_m1d": 0.0020497807644881405, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.011103152337683886, "ret_signed_p1d": 0.011103152337683886, "alpha_spy_p1d": 0.01120467965195715, "alpha_c_p1d": 0.007772332323796816, "bench_spy_p1d": -0.00010152731427326422, "bench_c_p1d": 0.0033308200138870703, "ret_p1w": 0.04304807669890387, "ret_signed_p1w": 0.04304807669890387, "alpha_spy_p1w": 0.04191695030184661, "alpha_c_p1w": 0.04689119444710077, "bench_spy_p1w": 0.0011311263970572583, "bench_c_p1w": -0.0038431177481969003, "ret_p1m": 0.027602833239098068, "ret_signed_p1m": 0.027602833239098068, "alpha_spy_p1m": 0.04494674166697743, "alpha_c_p1m": 0.0351184120513236, "bench_spy_p1m": -0.017343908427879362, "bench_c_p1m": -0.007515578812225532, "ret_p3m": -0.07617253803641877, "ret_signed_p3m": -0.07617253803641877, "alpha_spy_p3m": -0.03433483136137605, "alpha_c_p3m": -0.0336978981505307, "bench_spy_p3m": -0.04183770667504272, "bench_c_p3m": -0.042474639885888066, "ret_p6m": null, "ret_signed_p6m": null, "alpha_spy_p6m": null, "alpha_c_p6m": null, "bench_spy_p6m": null, "bench_c_p6m": null, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.027602833239098068, "alpha_spy_stated": 0.04494674166697743, "alpha_c_stated": 0.0351184120513236, "price_path": [-0.2392, -0.2493, -0.2639, -0.2418, -0.237, -0.2198, -0.2193, -0.2134, -0.2034, -0.221, -0.2173, -0.2136, -0.1926, -0.1634, -0.168, -0.1471, -0.1263, -0.1265, -0.1194, -0.1382, -0.1174, -0.1156, -0.1331, -0.0993, -0.0958, -0.1091, -0.1349, -0.1415, -0.1148, -0.1168, -0.0919, -0.1012, -0.0713, -0.0129, 0.0031, -0.0073, -0.0073, -0.0078, -0.0233, -0.0205, -0.0063, -0.0132, -0.0017, -0.0247, -0.0145, -0.0044, -0.0271, -0.0369, -0.0407, -0.0456, -0.0756, -0.0579, -0.0429, -0.0344, -0.0209, -0.021, -0.0232, -0.0249, -0.0244, -0.0268, -0.0221, -0.0158, -0.0244, 0.0, 0.0111, 0.0208, 0.0319, 0.0434, 0.043, 0.0333, 0.0245, 0.0245, -0.0008, 0.0185, 0.0261, 0.0186, 0.0346, 0.039, 0.043, 0.0503, 0.0499, 0.0697, 0.0567, 0.0338, 0.0276, 0.0021, 0.0061, -0.0118, -0.0344, -0.0405, -0.0509, -0.0509, -0.0608, -0.0573, -0.0585, -0.0234, -0.0333, -0.0357, -0.0292, -0.0474, -0.0341, -0.0498, -0.0585, -0.0589, -0.0667, -0.0748, -0.0503, -0.0474, -0.0428, -0.0589, -0.0644, -0.0552, -0.0397, -0.0494, -0.0511, -0.0727, -0.072, -0.1024, -0.1012, -0.1287, -0.1503, -0.1523, -0.1097, -0.0847, -0.0861, -0.0861, -0.0762, -0.0567, -0.0232, -0.0181, -0.0201, -0.0093, 0.026, 0.0381, 0.0328, 0.0534, 0.041, 0.0257, 0.0482, 0.0483, 0.0624, 0.0817, 0.0785, 0.0779, 0.1854, 0.1894, 0.1783, 0.1926, 0.2264, 0.2269, 0.2323, 0.2004, 0.1912, 0.2385, 0.2327, 0.2207, 0.2201, 0.1946, 0.1946, 0.1902, 0.1775, 0.1775, 0.1944, 0.1944, 0.1984, 0.1683, 0.1564, 0.1123, 0.1039, 0.1461, 0.1352, 0.1216, 0.1251, 0.0972, 0.1073, 0.1123, 0.1401, 0.1525, 0.1245, 0.1411, 0.1411, 0.0831, 0.0761, null, null, null, null, null, null, null]}
{"unit_id": "orig:2013587794329776273", "ticker_idx": 0, "ts": "2026-01-20T12:21:55+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 should get rerated in the next few quarters", "tweet_type": "analysis", "timeline": "quarters", "summary": "Long AMZN: Anthropic enterprise gains via Project Rainier expected to accelerate AWS revenue growth in 2026+, driving a rerating.", "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": "$AMZN should get rerated in the next few quarters. \n\nAnthropic is often less mentioned in the news, but is rapidly gaining market share in the enterprise with popular products like Claude Opus 4.5. \n\nThe company has a strong partnership with Amazon (Project Rainier), which is expected to help AWS accelerate revenue growth in 2026 and beyond. \n\nIf Anthropic dominates the enterprise use cases, then Amazon will be a major beneficiary.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.03515149401379869, "ret_signed_m1d": 0.03515149401379869, "alpha_spy_m1d": 0.014371683556546389, "alpha_c_m1d": 0.008455732555763262, "bench_spy_m1d": 0.0207798104572523, "bench_c_m1d": 0.026695761458035427, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.001341980773133189, "ret_signed_p1d": 0.001341980773133189, "alpha_spy_p1d": -0.01019912850852811, "alpha_c_p1d": -0.01779832190049424, "bench_spy_p1d": 0.0115411092816613, "bench_c_p1d": 0.01914030267362743, "ret_p1w": 0.059220747514204586, "ret_signed_p1w": 0.059220747514204586, "alpha_spy_p1w": 0.032788468558513584, "alpha_c_p1w": 0.029251050373028997, "bench_spy_p1w": 0.026432278955691002, "bench_c_p1w": 0.02996969714117559, "ret_p1m": -0.11346323252756363, "ret_signed_p1m": -0.11346323252756363, "alpha_spy_p1m": -0.1263177784727626, "alpha_c_p1m": -0.09583382869727819, "bench_spy_p1m": 0.01285454594519897, "bench_c_p1m": -0.01762940383028544, "ret_p3m": 0.08467531410646645, "ret_signed_p3m": 0.08467531410646645, "alpha_spy_p3m": 0.03375963032884011, "alpha_c_p3m": 0.07181537602399612, "bench_spy_p3m": 0.05091568377762634, "bench_c_p3m": 0.012859938082470324, "ret_p6m": null, "ret_signed_p6m": null, "alpha_spy_p6m": null, "alpha_c_p6m": null, "bench_spy_p6m": null, "bench_c_p6m": null, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 63, "stated_label": "p3m", "ret_signed_stated": 0.08467531410646645, "alpha_spy_stated": 0.03375963032884011, "alpha_c_stated": 0.07181537602399612, "price_path": [-0.0388, -0.0565, -0.0429, -0.0294, -0.0174, -0.0076, -0.003, -0.0352, 0.0572, 0.0996, 0.0793, 0.0831, 0.0521, 0.0581, 0.0753, 0.0784, 0.0571, 0.0285, 0.016, 0.0081, -0.0366, -0.036, -0.06, -0.0446, -0.0204, -0.0058, -0.008, -0.008, 0.0096, 0.0125, 0.0148, 0.006, -0.0082, -0.0064, -0.0178, -0.0133, 0.0034, -0.0031, -0.0208, -0.0366, -0.0365, -0.0421, -0.0184, -0.0158, -0.0111, 0.0049, 0.006, 0.0066, 0.0046, 0.0066, -0.0008, -0.0195, 0.0089, 0.043, 0.0457, 0.0662, 0.0709, 0.067, 0.0502, 0.0245, 0.0311, 0.0352, 0.0352, 0.0, 0.0013, 0.0145, 0.0353, 0.0321, 0.0592, 0.052, 0.0465, 0.0359, 0.0518, 0.033, 0.0086, -0.036, -0.0895, -0.0965, -0.1041, -0.1165, -0.1359, -0.1394, -0.1394, -0.1292, -0.1135, -0.1132, -0.0904, -0.1114, -0.0971, -0.0881, -0.0999, -0.0909, -0.0979, -0.0964, -0.0614, -0.0522, -0.077, -0.0758, -0.0722, -0.0794, -0.0929, -0.101, -0.0834, -0.0684, -0.0915, -0.0963, -0.111, -0.0903, -0.1029, -0.0835, -0.1016, -0.1371, -0.1301, -0.0984, -0.0884, -0.0919, -0.0919, -0.0788, -0.0746, -0.0422, 0.0115, 0.0319, 0.0385, 0.078, 0.0758, 0.081, 0.0847, 0.0748, 0.0819, 0.1055, 0.1042, 0.1428, 0.1304, 0.1242, 0.1387, 0.1474, 0.1613, 0.1777, 0.1842, 0.1904, 0.1739, 0.1804, 0.1645, 0.1507, 0.1694, 0.1568, 0.1435, 0.1466, 0.1227, 0.1472, 0.1622, 0.1529, 0.1529, 0.1484, 0.1768, 0.1861, 0.1716, 0.131, 0.1105, 0.0823, 0.0987, 0.0651, 0.0616, 0.0571, 0.0303, 0.0455, 0.0327, 0.065, 0.0649, 0.0281, 0.058, 0.058, 0.0077, 0.0156, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null]}
{"unit_id": "orig:2014336829655552052", "ticker_idx": 0, "ts": "2026-01-22T13:58:19+00:00", "symbol": "TIC", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "we estimate that $TIC will be a major beneficiary in the years to come", "tweet_type": "analysis", "timeline": "years", "summary": "Bullish TIC Solutions on AI/energy infrastructure supercycle, >80% recurring revenue, and synergistic merger creating dominant inspection platform.", "resolved_tickers": ["TIC"], "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": "Specialty Business Services", "unit_kind": "original", "lang": "en", "tweet_text": "Here’s a potential opportunity from the AI ‘picks and shovels’.\n\nTIC Solutions was formed by a leveraged merger between Acuren and NV5, creating a dominant inspection platform for the AI and energy infrastructure supercycle. Here's why we are bullish on the business. \n\n• Led by a legendary value creator with a proven track  record in executing leveraged mergers.\n\n• >80% recurring revenue. These inspections aren’t optional.\n\n• The merger is highly complementary in terms of the service offering. Acuren's infrastructure inspection business gets the high-tech, data-driven capabilities of NV5 (digital twins, geospatial analysis, etc.). This should enable the merged entity to grow faster than the sum of its parts.\n\nAs Al-driven power demand surges and North America invests to maintain aging infrastructure, we estimate that $TIC will be a major beneficiary in the years to come.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.005357095264657774, "ret_signed_m1d": -0.005357095264657774, "alpha_spy_m1d": -0.0001609782500084922, "alpha_c_m1d": -0.0001609782500084922, "bench_spy_m1d": -0.005196117014649282, "bench_c_m1d": -0.005196117014649282, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.03392858222431083, "ret_signed_p1d": -0.03392858222431083, "alpha_spy_p1d": -0.034291317413284506, "alpha_c_p1d": -0.034291317413284506, "bench_spy_p1d": 0.00036273518897367296, "bench_c_p1d": 0.00036273518897367296, "ret_p1w": -0.07321425971327955, "ret_signed_p1w": -0.07321425971327955, "alpha_spy_p1w": -0.08055837820665579, "alpha_c_p1w": -0.08055837820665579, "bench_spy_p1w": 0.007344118493376239, "bench_c_p1w": 0.007344118493376239, "ret_p1m": -0.1267857232568217, "ret_signed_p1m": -0.1267857232568217, "alpha_spy_p1m": -0.1274388781490221, "alpha_c_p1m": -0.1274388781490221, "bench_spy_p1m": 0.0006531548922004138, "bench_c_p1m": 0.0006531548922004138, "ret_p3m": -0.21964286428933255, "ret_signed_p3m": -0.21964286428933255, "alpha_spy_p3m": -0.24435018027425215, "alpha_c_p3m": -0.24435018027425215, "bench_spy_p3m": 0.024707315984919598, "bench_c_p3m": 0.024707315984919598, "ret_p6m": null, "ret_signed_p6m": null, "alpha_spy_p6m": null, "alpha_c_p6m": null, "bench_spy_p6m": null, "bench_c_p6m": null, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 252, "stated_label": "p1y", "ret_signed_stated": null, "alpha_spy_stated": null, "alpha_c_stated": null, "price_path": [0.0929, 0.1125, 0.0812, 0.0795, 0.0982, 0.0964, 0.083, 0.0893, 0.0429, 0.0589, -0.0045, -0.008, 0.0018, -0.0036, -0.0455, -0.0821, -0.1268, -0.1741, -0.158, -0.1723, -0.1991, -0.1777, -0.1652, -0.1411, -0.1491, -0.1491, -0.1321, -0.1536, -0.1473, -0.1491, -0.1509, -0.1482, -0.1527, -0.1313, -0.1062, -0.0321, -0.0554, -0.075, -0.0804, -0.092, -0.0786, -0.0884, -0.0598, -0.0625, -0.0545, -0.0509, -0.0732, -0.1009, -0.0973, -0.117, -0.0696, -0.0616, -0.108, -0.0286, 0.0223, 0.0393, 0.0, -0.0018, 0.0393, 0.0214, 0.0214, -0.0089, -0.0054, 0.0, -0.0339, -0.0455, -0.0616, -0.0687, -0.0732, -0.0982, -0.1179, -0.1161, -0.1313, -0.1964, -0.1473, -0.0759, -0.1214, -0.1268, -0.1455, -0.1643, -0.1643, -0.1661, -0.1545, -0.1384, -0.1268, -0.1777, -0.158, -0.1563, -0.1205, -0.1545, -0.1411, -0.1804, -0.1786, -0.1679, -0.2143, -0.2143, -0.2348, -0.2455, -0.3134, -0.3527, -0.3214, -0.3, -0.3152, -0.3134, -0.3214, -0.308, -0.3473, -0.342, -0.3652, -0.4134, -0.4036, -0.4125, -0.3902, -0.3795, -0.3795, -0.3679, -0.3687, -0.3411, -0.3625, -0.3616, -0.3527, -0.292, -0.3179, -0.2866, -0.2411, -0.208, -0.2196, -0.2107, -0.225, -0.2304, -0.2232, -0.208, -0.1946, -0.1839, -0.1625, -0.1714, -0.1518, -0.0795, -0.1062, -0.1152, -0.1321, -0.1607, -0.2018, -0.2036, -0.2, -0.1964, -0.2357, -0.233, -0.2393, -0.2393, -0.2393, -0.2455, -0.2545, -0.2527, -0.2705, -0.2732, -0.2589, -0.2429, -0.2446, -0.2518, -0.2411, -0.2705, -0.2911, -0.2554, -0.2446, -0.2366, -0.2482, -0.2759, -0.2482, -0.2482, -0.2795, -0.2808, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null]}
{"unit_id": "orig:2018279130161426599", "ticker_idx": 0, "ts": "2026-02-02T11:03:37+00:00", "symbol": "AXON", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "We will be buyers of this fear (at the right price). Axon's core revenue is anchored in Tasers and body-worn sensors. These can't be vibe-coded. rare opportunity to buy a high-growth compounder (>20% revenue growth in 2026) at a discount", "tweet_type": "analysis", "timeline": "months", "summary": "Long AXON: physical moats insulate it from AI software disruption; >20% rev growth compounder being dumped in software selloff creates buying opportunity.", "resolved_tickers": ["AXON"], "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": "The market is in a ‘sell first, ask questions later’ mode with software stocks. Software valuations are derating as investors worry about terminal value in an AI world. But in the panic, the market is dumping companies with physical moats simply because they have a software component.\n\nEnter Axon!\n\nWhile pure-play software may be disrupted, Axon’s core revenue is anchored in Tasers and body-worn sensors. These can’t be vibe-coded. No police department will replace Axon’s devices because another firm has better software. In fact, AI will help Axon deliver more value.\n\nAs Axon becomes cheaper, we may have a rare opportunity to buy a high-growth compounder (>20% revenue growth in 2026) at a discount. Axon isn’t a software company; it’s the system of record for better public safety. 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{"unit_id": "orig:2019465880212763015", "ticker_idx": 0, "ts": "2026-02-05T17:39:20+00:00", "symbol": "AMD", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$AMD down 17% post-earnings may be an over-reaction... trading at a 10x PE based on 3-5-year out earnings", "tweet_type": "analysis", "timeline": "years", "summary": "Bullish AMD post-earnings selloff; hyperscaler capex ramp + 60% DC revenue CAGR guided puts stock at 10x PE on 3-5yr earnings — compelling long.", "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": "original", "lang": "en", "tweet_text": "$AMD down 17% post-earnings may be an over-reaction.\n\nAll Hyperscalers (Meta, Google, and Microsoft) have announced a significant ramp-up in their capex. To benefit from this massive spend, AMD does not need to beat Nvidia; it just needs to be a strong second source, and it will increase its GPU revenues multifold.\n\nCEO Lisa Su, who is generally conservative, has guided for 60% revenue growth over the next five years in the Data Center division. She already has an anchor customer in OpenAI and discussed collaborating with other large customers during the latest earnings call.\n\nIf you model the guidance, the company is trading at a 10x PE based on 3-5-year out earnings. The only question is whether you believe the management’s guidance!", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.03994806463068179, "ret_signed_m1d": 0.03994806463068179, "alpha_spy_m1d": 0.027300825609644974, "alpha_c_m1d": 0.03745513243661147, "bench_spy_m1d": 0.012647239021036816, "bench_c_m1d": 0.0024929321940703186, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.08280520748782472, "ret_signed_p1d": 0.08280520748782472, "alpha_spy_p1d": 0.06362042101100474, "alpha_c_p1d": 0.028799418061432158, "bench_spy_p1d": 0.01918478647681998, "bench_c_p1d": 0.05400578942639256, "ret_p1w": 0.06981819450081161, "ret_signed_p1w": 0.06981819450081161, "alpha_spy_p1w": 0.06443164730418682, "alpha_c_p1w": 0.004108541297799473, "bench_spy_p1w": 0.005386547196624791, "bench_c_p1w": 0.06570965320301214, "ret_p1m": -0.00036367441152596047, "ret_signed_p1m": -0.00036367441152596047, "alpha_spy_p1m": 0.007369243543915105, "alpha_c_p1m": 0.0009746879781203921, "bench_spy_p1m": -0.007732917955441065, "bench_c_p1m": -0.0013383623896463526, "ret_p3m": 0.8455065442370129, "ret_signed_p3m": 0.8455065442370129, "alpha_spy_p3m": 0.7744834624756991, "alpha_c_p3m": 0.47386880735079395, "bench_spy_p3m": 0.07102308176131378, "bench_c_p3m": 0.37163773688621893, "ret_p6m": null, "ret_signed_p6m": null, "alpha_spy_p6m": null, "alpha_c_p6m": null, "bench_spy_p6m": null, "bench_c_p6m": null, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 252, "stated_label": "p1y", "ret_signed_stated": null, "alpha_spy_stated": null, "alpha_c_stated": null, "price_path": [0.2348, 0.2132, 0.2674, 0.2339, 0.3449, 0.2881, 0.2821, 0.2495, 0.1963, 0.1613, 0.0702, 0.0586, 0.1171, 0.0708, 0.1129, 0.1129, 0.13, 0.1416, 0.1181, 0.1304, 0.122, 0.1323, 0.1486, 0.1513, 0.1502, 0.1503, 0.095, 0.0783, 0.0866, 0.0291, 0.0445, 0.1087, 0.1166, 0.1164, 0.1171, 0.1168, 0.1201, 0.1186, 0.1125, 0.1609, 0.1485, 0.1135, 0.091, 0.0633, 0.0554, 0.0789, 0.1479, 0.1616, 0.184, 0.2043, 0.2043, 0.2048, 0.2977, 0.3181, 0.349, 0.3055, 0.3092, 0.3129, 0.31, 0.2298, 0.2793, 0.2577, 0.0399, 0.0, 0.0828, 0.1221, 0.1095, 0.1095, 0.0698, 0.077, 0.077, 0.055, 0.0396, 0.0565, 0.0397, 0.0213, 0.1109, 0.0954, 0.0581, 0.0401, 0.0318, -0.0081, 0.0497, 0.0361, -0.0004, 0.0529, 0.0557, 0.0641, 0.0272, 0.0046, 0.0212, 0.0198, 0.0362, 0.0663, 0.0459, 0.0529, 0.0669, 0.1443, 0.0585, 0.0493, 0.0184, 0.0568, 0.092, 0.1299, 0.1299, 0.1438, 0.1508, 0.2043, 0.2293, 0.2729, 0.2822, 0.325, 0.3409, 0.4455, 0.4462, 0.4283, 0.4779, 0.5764, 0.5861, 0.8068, 0.7383, 0.679, 0.7512, 0.8415, 0.8729, 0.7742, 0.8455, 1.189, 1.1219, 1.3646, 1.3833, 1.3288, 1.3143, 1.3361, 1.2031, 1.187, 1.1509, 1.3251, 1.3355, 1.4286, 1.4286, 1.6176, 1.5742, 1.6914, 1.681, 1.65, 1.7093, 1.8183, 1.7179, 1.4228, 1.5472, 1.4702, 1.3501, 1.5374, 1.6575, 1.8429, 1.6353, 1.6622, 1.7915, 1.7915, 1.8656, 1.6856, null, null, null, null, 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": "orig:2020824359183720520", "ticker_idx": 0, "ts": "2026-02-09T11:37:26+00:00", "symbol": "AMD", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "The GPU revenue expectations were too high", "tweet_type": "analysis", "timeline": "unspecified", "summary": "AMD selling off because GPU revenue expectations were set too high, not due to Intel competition fears.", "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": "original", "lang": "en", "tweet_text": "@JonathanAMcB With the DC Server market growing strongly, I don't think that the market is reacting to potentially higher competition from Intel and selling off AMD. The GPU revenue expectations were too high.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.03499998869719334, "ret_signed_m1d": 0.03499998869719334, "alpha_spy_m1d": 0.03020131147015337, "alpha_c_m1d": 0.022704402627978237, "bench_spy_m1d": -0.004798677227039971, "bench_c_m1d": -0.012295586069215103, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.01124996609157991, "ret_signed_p1d": 0.01124996609157991, "alpha_spy_p1d": 0.00861282013339848, "alpha_c_p1d": 0.006602273581493456, "bench_spy_p1d": -0.0026371459581814305, "bench_c_p1d": -0.004647692510086454, "ret_p1w": -0.04018515127676503, "ret_signed_p1w": 0.04018515127676503, "alpha_spy_p1w": 0.022604561378382515, "alpha_c_p1w": 0.04281642470668956, "bench_spy_p1w": -0.017580589898382515, "bench_c_p1w": 0.00263127342992453, "ret_p1m": -0.05912039015028214, "ret_signed_p1m": 0.05912039015028214, "alpha_spy_p1m": 0.03495431848092234, "alpha_c_p1m": 0.03620139970615288, "bench_spy_p1m": -0.0241660716693598, "bench_c_p1m": -0.02291899044412926, "ret_p3m": 0.891018478958695, "ret_signed_p3m": -0.891018478958695, "alpha_spy_p3m": -0.8339135921702878, "alpha_c_p3m": -0.5628493317991263, "bench_spy_p3m": 0.057104886788407194, "bench_c_p3m": 0.3281691471595687, "ret_p6m": null, "ret_signed_p6m": null, "alpha_spy_p6m": null, "alpha_c_p6m": null, "bench_spy_p6m": null, "bench_c_p6m": null, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.05912039015028214, "alpha_spy_stated": 0.03495431848092234, "alpha_c_stated": 0.03620139970615288, "price_path": [0.1295, 0.0996, 0.1986, 0.148, 0.1426, 0.1135, 0.0662, 0.035, -0.0462, -0.0566, -0.0044, -0.0457, -0.0081, -0.0081, 0.0071, 0.0174, -0.0035, 0.0074, -0.0001, 0.0091, 0.0237, 0.026, 0.0251, 0.0251, -0.0242, -0.039, -0.0316, -0.0828, -0.0692, -0.0119, -0.0049, -0.0051, -0.0044, -0.0047, -0.0018, -0.0031, -0.0085, 0.0346, 0.0235, -0.0076, -0.0277, -0.0524, -0.0594, -0.0385, 0.023, 0.0352, 0.0552, 0.0733, 0.0733, 0.0737, 0.1565, 0.1747, 0.2022, 0.1635, 0.1668, 0.1701, 0.1675, 0.096, 0.1401, 0.1209, -0.0732, -0.1088, -0.035, 0.0, -0.0112, -0.0112, -0.0466, -0.0402, -0.0402, -0.0598, -0.0735, -0.0585, -0.0734, -0.0898, -0.01, -0.0238, -0.057, -0.0731, -0.0805, -0.116, -0.0645, -0.0766, -0.1091, -0.0617, -0.0591, -0.0517, -0.0845, -0.1047, -0.0899, -0.0912, -0.0766, -0.0497, -0.0679, -0.0617, -0.0492, 0.0198, -0.0566, -0.0649, -0.0924, -0.0582, -0.0268, 0.0069, 0.0069, 0.0194, 0.0256, 0.0732, 0.0956, 0.1344, 0.1427, 0.1809, 0.195, 0.2882, 0.2888, 0.2729, 0.3171, 0.4049, 0.4136, 0.6102, 0.5492, 0.4963, 0.5607, 0.6412, 0.6692, 0.5812, 0.6447, 0.9509, 0.891, 1.1074, 1.124, 1.0754, 1.0625, 1.0819, 0.9634, 0.949, 0.9169, 1.0721, 1.0814, 1.1644, 1.1644, 1.3328, 1.2942, 1.3986, 1.3894, 1.3617, 1.4145, 1.5117, 1.4222, 1.1592, 1.27, 1.2014, 1.0944, 1.2613, 1.3684, 1.5336, 1.3486, 1.3726, 1.4878, 1.4878, 1.5538, 1.3934, null, null, null, null, null, null, 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": "orig:2020831850088784089", "ticker_idx": 0, "ts": "2026-02-09T12:07:12+00:00", "symbol": "software infrastructure", "kind": "sector", "geography": "US", "sub_sector": null, "direction": "long", "conviction": "high", "explicit": false, "explicit_audit": "kept_implicit_alias_present", "polarity_reversed": false, "quote": "the best AI x software trade might be long infrastructure layer", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Long DB/event-stream/monitoring infrastructure layer, short per-seat UI/SaaS layer on AI agent adoption compressing seats but multiplying API calls.", "resolved_tickers": ["MDB", "DDOG", "SNOW", "HUBS", "NET"], "resolution_method": "basket", "resolution_reason": "AI software infra layer: MongoDB, Datadog, Snowflake, HubSpot, Cloudflare", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": "Software - Application", "unit_kind": "original", "lang": "en", "tweet_text": "While I think the current \"AI eats software\" concerns are overblown, here is an interesting angle to consider: \n\nThe companies that provide a license per seat are at risk. If an AI agent can do the work, you technically don't need a license for that seat. Even though no one is going to vibe code an alternative, either through layoffs or improved efficiency, your business now faces a seat-compression risk.  \n\nBut companies responsible for DBs, event streams, and monitoring stand to benefit, as the agent will generate exponentially more API calls than a human ever could. \n\nJust considering that you have to log all AI actions will increase the usage for these companies.  \n\nUltimately, the best AI x software trade might be long infrastructure layer and short UI layer.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.01944304619794792, "ret_signed_m1d": -0.01944304619794792, "alpha_spy_m1d": -0.01464436897090795, "alpha_c_m1d": -0.01464436897090795, "bench_spy_m1d": -0.004798677227039971, "bench_c_m1d": -0.004798677227039971, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0538269842356542, "ret_signed_p1d": 0.0538269842356542, "alpha_spy_p1d": 0.05646413019383563, "alpha_c_p1d": 0.05646413019383563, "bench_spy_p1d": -0.0026371459581814305, "bench_c_p1d": -0.0026371459581814305, "ret_p1w": 0.06927011334937916, "ret_signed_p1w": 0.06927011334937916, "alpha_spy_p1w": 0.08685070324776167, "alpha_c_p1w": 0.08685070324776167, "bench_spy_p1w": -0.017580589898382515, "bench_c_p1w": -0.017580589898382515, "ret_p1m": 0.03837697911612172, "ret_signed_p1m": 0.03837697911612172, "alpha_spy_p1m": 0.06254305078548153, "alpha_c_p1m": 0.06254305078548153, "bench_spy_p1m": -0.0241660716693598, "bench_c_p1m": -0.0241660716693598, "ret_p3m": 0.1763604056938265, "ret_signed_p3m": 0.1763604056938265, "alpha_spy_p3m": 0.1192555189054193, "alpha_c_p3m": 0.1192555189054193, "bench_spy_p3m": 0.057104886788407194, "bench_c_p3m": 0.057104886788407194, "ret_p6m": null, "ret_signed_p6m": null, "alpha_spy_p6m": null, "alpha_c_p6m": null, "bench_spy_p6m": null, "bench_c_p6m": null, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.03837697911612172, "alpha_spy_stated": 0.06254305078548153, "alpha_c_stated": 0.06254305078548153, "price_path": [0.4758, 0.4754, 0.4472, 0.3984, 0.3993, 0.3457, 0.3327, 0.3244, 0.2715, 0.244, 0.2697, 0.2978, 0.2828, 0.2828, 0.3005, 0.2975, 0.3492, 0.3613, 0.3184, 0.3147, 0.3312, 0.3265, 0.3357, 0.3231, 0.2965, 0.2686, 0.28, 0.272, 0.2925, 0.3022, 0.3321, 0.3242, 0.3153, 0.3183, 0.3086, 0.3101, 0.2968, 0.2609, 0.2808, 0.3214, 0.338, 0.2501, 0.2293, 0.2461, 0.2159, 0.1811, 0.1626, 0.1533, 0.1533, 0.1228, 0.1218, 0.1724, 0.1685, 0.2124, 0.2283, 0.2091, 0.1119, 0.1, 0.0986, 0.0085, -0.0172, -0.071, -0.0194, 0.0, 0.0538, 0.0296, 0.0285, 0.0693, 0.0693, 0.0514, 0.0536, 0.0431, -0.0024, -0.0976, -0.0692, -0.0276, 0.0226, -0.0014, 0.0067, -0.0299, -0.0074, 0.0375, 0.0583, 0.0654, 0.0384, 0.0483, 0.0374, 0.0404, 0.0371, 0.05, 0.0637, 0.0602, 0.0284, 0.0583, -0.0084, -0.0064, -0.0086, -0.0604, -0.0608, -0.0359, -0.0318, -0.0193, -0.0193, -0.0273, -0.0379, -0.0534, -0.1305, -0.1926, -0.1328, -0.1371, -0.0789, -0.0597, -0.0431, -0.019, -0.0171, -0.0003, -0.0432, -0.04, -0.0163, -0.0273, -0.0194, -0.0449, 0.0121, 0.0414, 0.0601, 0.0489, 0.1764, 0.0884, 0.0802, 0.0665, 0.0794, 0.0854, 0.1174, 0.1502, 0.1754, 0.164, 0.1646, 0.1917, 0.1917, 0.1878, 0.1675, 0.2837, 0.3813, 0.5697, 0.5134, 0.4172, 0.4174, 0.3495, 0.3422, 0.3044, 0.2864, 0.3054, 0.2852, 0.3129, 0.2954, 0.2653, 0.2515, 0.2515, 0.2252, 0.2397, null, null, null, null, null, null, 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": "orig:2020831850088784089", "ticker_idx": 1, "ts": "2026-02-09T12:07:12+00:00", "symbol": "software UI/SaaS per-seat", "kind": "sector", "geography": "US", "sub_sector": null, "direction": "short", "conviction": "high", "explicit": false, "explicit_audit": "kept_implicit_alias_present", "polarity_reversed": false, "quote": "short UI layer", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Long DB/event-stream/monitoring infrastructure layer, short per-seat UI/SaaS layer on AI agent adoption compressing seats but multiplying API calls.", "resolved_tickers": ["CRM", "WDAY", "NOW", "TEAM", "ZM"], "resolution_method": "basket", "resolution_reason": "Per-seat UI/SaaS names: Salesforce, Workday, ServiceNow, Atlassian, Zoom", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": "Software - Application", "unit_kind": "original", "lang": "en", "tweet_text": "While I think the current \"AI eats software\" concerns are overblown, here is an interesting angle to consider: \n\nThe companies that provide a license per seat are at risk. If an AI agent can do the work, you technically don't need a license for that seat. Even though no one is going to vibe code an alternative, either through layoffs or improved efficiency, your business now faces a seat-compression risk.  \n\nBut companies responsible for DBs, event streams, and monitoring stand to benefit, as the agent will generate exponentially more API calls than a human ever could. \n\nJust considering that you have to log all AI actions will increase the usage for these companies.  \n\nUltimately, the best AI x software trade might be long infrastructure layer and short UI layer.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.002991227943080599, "ret_signed_m1d": -0.002991227943080599, "alpha_spy_m1d": -0.00778990517012057, "alpha_c_m1d": -0.00778990517012057, "bench_spy_m1d": -0.004798677227039971, "bench_c_m1d": -0.004798677227039971, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.005572886927201859, "ret_signed_p1d": -0.005572886927201859, "alpha_spy_p1d": -0.00821003288538329, "alpha_c_p1d": -0.00821003288538329, "bench_spy_p1d": -0.0026371459581814305, "bench_c_p1d": -0.0026371459581814305, "ret_p1w": -0.03224961609989023, "ret_signed_p1w": 0.03224961609989023, "alpha_spy_p1w": 0.014669026201507715, "alpha_c_p1w": 0.014669026201507715, "bench_spy_p1w": -0.017580589898382515, "bench_c_p1w": -0.017580589898382515, "ret_p1m": -0.05901990898715792, "ret_signed_p1m": 0.05901990898715792, "alpha_spy_p1m": 0.03485383731779812, "alpha_c_p1m": 0.03485383731779812, "bench_spy_p1m": -0.0241660716693598, "bench_c_p1m": -0.0241660716693598, "ret_p3m": -0.028189243985034685, "ret_signed_p3m": 0.028189243985034685, "alpha_spy_p3m": 0.08529413077344188, "alpha_c_p3m": 0.08529413077344188, "bench_spy_p3m": 0.057104886788407194, "bench_c_p3m": 0.057104886788407194, "ret_p6m": null, "ret_signed_p6m": null, "alpha_spy_p6m": null, "alpha_c_p6m": null, "bench_spy_p6m": null, "bench_c_p6m": null, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.05901990898715792, "alpha_spy_stated": 0.03485383731779812, "alpha_c_stated": 0.03485383731779812, "price_path": [0.4006, 0.3995, 0.3968, 0.3734, 0.3863, 0.3486, 0.3438, 0.329, 0.3009, 0.3238, 0.3267, 0.3689, 0.3241, 0.3241, 0.335, 0.3427, 0.3494, 0.3676, 0.3827, 0.4149, 0.4209, 0.423, 0.428, 0.4411, 0.4364, 0.3651, 0.3769, 0.3876, 0.3924, 0.3913, 0.4057, 0.3863, 0.3851, 0.3984, 0.3959, 0.3899, 0.3823, 0.3256, 0.3374, 0.3566, 0.3724, 0.3287, 0.3087, 0.314, 0.2495, 0.22, 0.1952, 0.1507, 0.1507, 0.1344, 0.1456, 0.1852, 0.205, 0.2496, 0.2248, 0.2264, 0.1295, 0.1236, 0.1128, 0.0386, 0.0603, 0.0014, 0.003, 0.0, 0.0056, -0.0447, -0.0406, -0.0322, -0.0322, -0.055, -0.0399, -0.0544, -0.0742, -0.1238, -0.1035, -0.0898, -0.0714, -0.0984, -0.1028, -0.0682, -0.0647, -0.0272, -0.011, -0.0272, -0.059, -0.074, -0.0856, -0.09, -0.0773, -0.0755, -0.0882, -0.0839, -0.0879, -0.0813, -0.1338, -0.1401, -0.1278, -0.1574, -0.1289, -0.12, -0.1194, -0.1171, -0.1171, -0.1216, -0.1345, -0.1623, -0.1988, -0.2327, -0.1868, -0.1978, -0.1432, -0.133, -0.1341, -0.1034, -0.0999, -0.0866, -0.1723, -0.1375, -0.145, -0.1377, -0.1278, -0.1351, -0.0585, -0.038, -0.0316, -0.0675, -0.0282, -0.0414, -0.0673, -0.0959, -0.1188, -0.1157, -0.0741, -0.0453, -0.0571, -0.0537, -0.0852, -0.0427, -0.0427, -0.0661, -0.054, -0.0252, 0.075, 0.1699, 0.1197, 0.0593, 0.0594, 0.0262, 0.0212, -0.0188, -0.0436, -0.0711, -0.0717, -0.063, -0.0875, -0.1297, -0.146, -0.146, -0.167, -0.1461, null, null, null, null, null, null, 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": "reply:2021108367997993244", "ticker_idx": 1, "ts": "2026-02-10T06:25:59+00:00", "symbol": "NET", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Irrespective of the number of people in Amazon, as long as the company is getting (and growing traffic), Cloudflare will still get paid", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Seat-based SaaS (Slack) faces revenue compression as AI cuts headcount; usage-based models like Cloudflare are insulated and continue to grow.", "resolved_tickers": ["NET"], "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": "reply_other", "lang": "en", "tweet_text": "The seat compression risk is there. \n\nLet's take a simple example of Slack, which charges $12/seat. Amazon just laid off 20K employees due to \"AI efficiency\". What happens to the $12*20K recurring revenue that Slack used to get?  \n\nNow take the example of Cloudflare -- Irrespective of the number of people in Amazon, as long as the company is getting (and growing traffic), Cloudflare will still get paid.  \n\nAgain, a simple example, but you get the drift. \n\nIn a lot of cases, the company wont be able to proportionally increase their per seat pricing.", "reply_text": null, "parent_text": "@rebound_capital @rosedotai “If an AI agent can do the work, you technically don't need a license for that seat.” &lt;&lt; flawed assumption. \n\nAn Agent accesses a product through its API. The company can and will charge for API usage. Since agents are knowledge heavy the result will likely be more fees. 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{"unit_id": "quote:2021150083761221907", "ticker_idx": 0, "ts": "2026-02-10T09:11:45+00:00", "symbol": "RACE", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Ferrari $RACE stock will go the same way as Porsche.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bearish RACE: Ferrari's EV push will repeat Porsche/Taycan's mistake — alienating core buyers, cratering resale value, and losing to Tesla/BYD on EV turf.", "resolved_tickers": ["RACE"], "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": "Ferrari $RACE stock will go the same way as Porsche. \n\nAfter Porsche launched Taycan, it did well initially, with the company selling 20,000 Taycans in 2020 and more than 40,000 in 2023.\n\nBut the company could never get the early adopters to convert into the cult-like following it had for the 911. The car was missing the “soul,” aka the sound that had made Porsche famous.\n\nAdd to the fact that Taycan's were unreliable, A $200K Taycan was only worth $50K to $70K after just 3 years. The cars were impossible to resell, and sales of Taycan cratered by 50% in 2024.\n\nIf I were a legacy carmaker like Ferrari building a performance car, I would be competing with other luxury brands like Lamborghini, and McLaren. \n\nBut the moment I build an electric car, then I am competing with arguably more advanced competitors like Tesla or BYD, who just built a 1,300 HP car that can jump over potholes.\n\nPorsche spent billions trying to convince sports car enthusiasts that electric cars were better. They went on to make arguably one of the most advanced EV sports cars. But they never stopped to think if that’s what their customers wanted. \n\nFerrari is now going the same route.\n\nTo be fair to management, there is a 2035 ban on the sale of new combustion-engine cars in the European Union which might have led this aggressive push into EVs.\n \nAs Jeremy Clarkson so aptly put it, the manufacturers are so busy building cars for the government that they forgot to make cars for the people buying them.", "reply_text": null, "parent_text": null, "quoted_text": "Ferrari has revealed the interior of its first EV! 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{"unit_id": "orig:2021176545688072387", "ticker_idx": 0, "ts": "2026-02-10T10:56:54+00:00", "symbol": "AMD", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "AMD is one of our highest conviction picks for 2026", "tweet_type": "analysis", "timeline": "years", "summary": "Highest-conviction long AMD into 2026-27 on 80% AI GPU CAGR, 60% data-center growth, OpenAI/Meta contracts, and server CPU sold-out demand.", "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": "original", "lang": "en", "tweet_text": "AMD is one of our highest conviction picks for 2026.\n\n$AMD CEO, Lisa Su, is known for giving conservative guidance. \n\nBut, based on AMD’s latest guidance:\n\n1. 80% CAGR in AI GPU revenue and 35% CAGR in total revenue growth over the next 3-5 years.\n\n2. 60% growth in Data Centre revenue in 2026.\n\n3. >$10B Data Centre revenue for 2027.\n\nWhile everyone’s looking at $NVDA, AMD has a long-term contract with OpenAI and co-developed the Helios rack with Meta ($125B 2026 capex).\n\nAnother tailwind is the rise of Agentic AI (Clawdbot, Claude Cowork, etc.), which is driving CPU demand; both Intel and AMD server CPUs are sold out for 2026.\n\nAgents that will run 24×7 will increase CPU requirements, with projections that AMD’s server business might double in 2026.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.011377967844016235, "ret_signed_m1d": 0.011377967844016235, "alpha_spy_m1d": 0.008733848958402568, "alpha_c_m1d": 0.0067085734244594075, "bench_spy_m1d": 0.0026441188856136666, "bench_c_m1d": 0.004669394419556827, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 4.6797333395076635e-05, "ret_signed_p1d": 4.6797333395076635e-05, "alpha_spy_p1d": 0.00027791947705957387, "alpha_c_p1d": -0.02470858554020916, "bench_spy_p1d": -0.00023112214366449724, "bench_c_p1d": 0.024755382873604237, "ret_p1w": -0.04911740943680021, "ret_signed_p1w": -0.04911740943680021, "alpha_spy_p1w": -0.03572376152793699, "alpha_c_p1w": -0.05591155889240562, "bench_spy_p1w": -0.013393647908863215, "bench_c_p1w": 0.006794149455605414, "ret_p1m": -0.04092337497510101, "ret_signed_p1m": -0.04092337497510101, "alpha_spy_p1m": -0.01810948282323599, "alpha_c_p1m": -0.03170801057067785, "bench_spy_p1m": -0.022813892151865023, "bench_c_p1m": -0.009215364404423165, "ret_p3m": 1.1313386095004732, "ret_signed_p3m": 1.1313386095004732, "alpha_spy_p3m": 1.0626879745129956, "alpha_c_p3m": 0.7316450519392979, "bench_spy_p3m": 0.06865063498747759, "bench_c_p3m": 0.3996935575611753, "ret_p6m": null, "ret_signed_p6m": null, "alpha_spy_p6m": null, "alpha_c_p6m": null, "bench_spy_p6m": null, "bench_c_p6m": null, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 252, "stated_label": "p1y", "ret_signed_stated": null, "alpha_spy_stated": null, "alpha_c_stated": null, "price_path": [0.1121, 0.2122, 0.161, 0.1556, 0.1262, 0.0783, 0.0467, -0.0354, -0.0458, 0.0069, -0.0348, 0.0031, 0.0031, 0.0185, 0.029, 0.0078, 0.0189, 0.0113, 0.0206, 0.0353, 0.0377, 0.0368, 0.0368, -0.0131, -0.028, -0.0206, -0.0724, -0.0586, -0.0007, 0.0065, 0.0062, 0.0069, 0.0066, 0.0096, 0.0083, 0.0028, 0.0464, 0.0352, 0.0037, -0.0166, -0.0416, -0.0487, -0.0275, 0.0346, 0.047, 0.0672, 0.0855, 0.0855, 0.0859, 0.1696, 0.188, 0.2159, 0.1767, 0.1801, 0.1834, 0.1808, 0.1084, 0.1531, 0.1336, -0.0626, -0.0987, -0.024, 0.0114, 0.0, 0.0, -0.0357, -0.0293, -0.0293, -0.0491, -0.063, -0.0478, -0.0628, -0.0795, 0.0013, -0.0127, -0.0463, -0.0626, -0.07, -0.1059, -0.0538, -0.0661, -0.099, -0.051, -0.0484, -0.0409, -0.0741, -0.0945, -0.0796, -0.0808, -0.0661, -0.0389, -0.0573, -0.051, -0.0384, 0.0314, -0.0459, -0.0542, -0.0821, -0.0475, -0.0157, 0.0184, 0.0184, 0.0309, 0.0373, 0.0855, 0.108, 0.1474, 0.1557, 0.1943, 0.2086, 0.3029, 0.3035, 0.2874, 0.3321, 0.4209, 0.4296, 0.6286, 0.5668, 0.5134, 0.5785, 0.6598, 0.6882, 0.5992, 0.6634, 0.9731, 0.9125, 1.1313, 1.1482, 1.099, 1.086, 1.1056, 0.9858, 0.9712, 0.9387, 1.0957, 1.1051, 1.189, 1.189, 1.3594, 1.3203, 1.4259, 1.4165, 1.3886, 1.442, 1.5402, 1.4498, 1.1837, 1.2959, 1.2265, 1.1183, 1.2871, 1.3953, 1.5624, 1.3753, 1.3996, 1.5161, 1.5161, 1.5829, 1.4207, null, null, null, null, null, null, null, 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": "orig:2031695445957730679", "ticker_idx": 0, "ts": "2026-03-11T11:35:16+00:00", "symbol": "MSFT", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "might have just turned the corner… If Microsoft can execute well… it can overtake all other players as it owns distribution at scale", "tweet_type": "prediction", "timeline": "months", "summary": "Cautiously bullish MSFT on Copilot/Agent 365 AI push; if execution delivers, could shed AI-laggard tag like GOOG did post-I/O.", "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": "Microsoft $MSFT, which has been on our watchlist for a while (down 25%), might have just turned the corner.\n\nThey just announced Copilot Cowork and Agent 365, which can now execute a multi-step plan across Office apps (Similar to Claude Cowork).\n\nThis might play out like Google I/O 2025, when they launched DeepThink and Gemini models, removing the AI laggard tag — $GOOG is up 97% since May 2025.\n\nIf Microsoft can execute well (we will only get product hands-on in the next few months), it can overtake all other players as it owns distribution at scale.\n\nWhat do you think?", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.00217351975516733, "ret_signed_m1d": 0.00217351975516733, "alpha_spy_m1d": 0.0009168078639891775, "alpha_c_m1d": 0.0009168078639891775, "bench_spy_m1d": 0.0012567118911781527, "bench_c_m1d": 0.0012567118911781527, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.007459038776109095, "ret_signed_p1d": -0.007459038776109095, "alpha_spy_p1d": 0.0077259274948940915, "alpha_c_p1d": 0.0077259274948940915, "bench_spy_p1d": -0.015184966271003186, "bench_c_p1d": -0.015184966271003186, "ret_p1w": -0.03233055871030077, "ret_signed_p1w": -0.03233055871030077, "alpha_spy_p1w": -0.010299814993973588, "alpha_c_p1w": -0.010299814993973588, "bench_spy_p1w": -0.022030743716327184, "bench_c_p1w": -0.022030743716327184, "ret_p1m": -0.07856646197228001, "ret_signed_p1m": -0.07856646197228001, "alpha_spy_p1m": -0.08660508145811863, "alpha_c_p1m": -0.08660508145811863, "bench_spy_p1m": 0.008038619485838616, "bench_c_p1m": 0.008038619485838616, "ret_p3m": 0.01914584314535661, "ret_signed_p3m": 0.01914584314535661, "alpha_spy_p3m": -0.0768261375866337, "alpha_c_p3m": -0.0768261375866337, "bench_spy_p3m": 0.09597198073199031, "bench_c_p3m": 0.09597198073199031, "ret_p6m": null, "ret_signed_p6m": null, "alpha_spy_p6m": null, "alpha_c_p6m": null, "bench_spy_p6m": null, "bench_c_p6m": null, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.07856646197228001, "alpha_spy_stated": -0.08660508145811863, "alpha_c_stated": -0.08660508145811863, "price_path": [0.1793, 0.1914, 0.1792, 0.1701, 0.1739, 0.1733, 0.1926, 0.1974, 0.195, 0.1997, 0.2026, 0.2018, 0.2003, 0.2013, 0.1918, 0.1654, 0.1652, 0.1792, 0.1914, 0.1782, 0.1811, 0.1759, 0.1598, 0.132, 0.1253, 0.1332, 0.1332, 0.12, 0.0944, 0.1117, 0.1482, 0.1589, 0.1843, 0.1869, 0.0682, 0.0603, 0.0433, 0.0133, 0.0207, -0.0299, -0.0115, 0.0192, 0.0184, -0.0035, -0.0098, -0.011, -0.011, -0.022, -0.0153, -0.0159, -0.0189, -0.0504, -0.0392, -0.0106, -0.0078, -0.03, -0.0156, -0.0023, 0.0008, 0.0143, 0.0101, 0.0112, 0.0022, 0.0, -0.0075, -0.023, -0.0122, -0.0135, -0.0323, -0.0392, -0.0568, -0.054, -0.0794, -0.0836, -0.0961, -0.1188, -0.1134, -0.0857, -0.0877, -0.0776, -0.0776, -0.079, -0.0805, -0.0755, -0.0786, -0.084, -0.0507, -0.0291, 0.0157, 0.038, 0.0442, 0.0326, 0.0476, 0.0693, 0.0268, 0.0488, 0.0492, 0.0602, 0.0484, 0.0072, 0.0236, 0.0216, 0.0161, 0.0224, 0.0392, 0.0253, 0.0192, 0.0071, 0.0008, 0.0112, 0.0421, 0.0461, 0.031, 0.04, 0.0373, 0.0361, 0.0361, 0.0298, 0.0214, 0.0569, 0.1144, 0.1399, 0.0923, 0.0578, 0.0595, 0.0313, 0.0191, -0.0015, -0.0164, -0.0338, -0.0328, -0.0105, -0.0252, -0.0621, -0.0609, -0.0609, -0.0908, -0.0748, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 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": "orig:2033514187750523389", "ticker_idx": 0, "ts": "2026-03-16T12:02:17+00:00", "symbol": "HOOD", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "This might be a good buy-the-dip opportunity, as none of these factors seems structural, and the company has the youngest customer base with a long runway", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Potential buy-the-dip on HOOD: down 36% YTD but headwinds seen as cyclical, not structural; youngest customer base with long runway.", "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": "original", "lang": "en", "tweet_text": "Robinhood $HOOD is now down 36% this year, making it one of the worst-performing stocks in the S&P 500.\n\nHere’s what’s driving the decline:\n\n1. Overall equity and options trading volume are down (MoM Feb’26).\n\n2. The prediction market business is also down (29% Feb’26).\n\n3. With crypto in a bear market, speculative trading has also dried up.\n\nThis might be a good buy-the-dip opportunity, as none of these factors seems structural, and the company has the youngest customer base with a long runway (people rarely change their trading platform!).\n\nWhat do you think?", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.02549459874104354, "ret_signed_m1d": -0.02549459874104354, "alpha_spy_m1d": -0.01542025892694443, "alpha_c_m1d": -0.017178255681102206, "bench_spy_m1d": -0.01007433981409911, "bench_c_m1d": -0.008316343059941333, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.02708804915230756, "ret_signed_p1d": 0.02708804915230756, "alpha_spy_p1d": 0.02445750416120207, "alpha_c_p1d": 0.021814072652542427, "bench_spy_p1d": 0.002630544991105488, "bench_c_p1d": 0.005273976499765132, "ret_p1w": -0.037445223559198215, "ret_signed_p1w": -0.037445223559198215, "alpha_spy_p1w": -0.019717797252427616, "alpha_c_p1w": -0.041974003272925, "bench_spy_p1w": -0.0177274263067706, "bench_c_p1w": 0.004528779713726783, "ret_p1m": 0.050192522929719985, "ret_signed_p1m": 0.050192522929719985, "alpha_spy_p1m": 0.009347446823491534, "alpha_c_p1m": -0.005510702684382585, "bench_spy_p1m": 0.04084507610622845, "bench_c_p1m": 0.05570322561410257, "ret_p3m": 0.22467144266171957, "ret_signed_p3m": 0.22467144266171957, "alpha_spy_p3m": 0.11892907355339011, "alpha_c_p3m": 0.15184203707791033, "bench_spy_p3m": 0.10574236910832946, "bench_c_p3m": 0.07282940558380924, "ret_p6m": null, "ret_signed_p6m": null, "alpha_spy_p6m": null, "alpha_c_p6m": null, "bench_spy_p6m": null, "bench_c_p6m": null, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.050192522929719985, "alpha_spy_stated": 0.009347446823491534, "alpha_c_stated": -0.005510702684382585, "price_path": [0.5305, 0.5854, 0.5376, 0.5557, 0.6113, 0.6249, 0.5966, 0.5993, 0.5686, 0.5593, 0.533, 0.5018, 0.5298, 0.6364, 0.616, 0.5532, 0.5322, 0.5306, 0.5605, 0.5966, 0.589, 0.4653, 0.4439, 0.4439, 0.4046, 0.4065, 0.4108, 0.4207, 0.4208, 0.3974, 0.373, 0.3443, 0.3209, 0.1939, 0.1562, 0.0705, -0.0349, 0.0997, 0.1494, 0.1366, 0.0353, -0.0556, 0.0088, 0.0088, 0.0017, -0.0013, 0.0045, 0.0106, -0.0469, -0.0255, 0.0295, 0.055, 0.0072, 0.0461, 0.0101, 0.0916, 0.0697, 0.0236, 0.0536, 0.0428, 0.0449, 0.0108, -0.0255, 0.0, 0.0271, -0.0054, -0.0153, -0.0587, -0.0374, -0.0827, -0.0368, -0.0659, -0.1234, -0.1348, -0.0798, -0.069, -0.0851, -0.0851, -0.0734, -0.0752, -0.0462, -0.0689, -0.0813, -0.0483, 0.0502, 0.1595, 0.1532, 0.205, 0.212, 0.1477, 0.1742, 0.1093, 0.1248, 0.1147, 0.0898, -0.0546, -0.0321, -0.0219, 0.0165, 0.0228, 0.0497, 0.0129, 0.0228, 0.0726, 0.0393, 0.0191, 0.0716, 0.0243, 0.0244, -0.0153, 0.006, 0.0081, -0.0222, -0.0222, -0.0162, 0.0122, 0.1265, 0.2522, 0.2048, 0.1706, 0.1001, 0.1729, 0.0951, 0.1292, 0.1123, 0.1467, 0.2247, 0.2374, 0.3029, 0.2842, 0.3969, 0.4361, 0.4361, 0.4037, 0.3648, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 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": "orig:2034254605169877136", "ticker_idx": 0, "ts": "2026-03-18T13:04:27+00:00", "symbol": "NBIS", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "$NBIS might be an interesting rebound trade... Looks like the market is selling off on the dilutive fears which are unfounded", "tweet_type": "analysis", "timeline": "days", "summary": "Bullish NBIS rebound: post-$4B convertible selloff overdone; Meta deal validates expansion, notes priced at 57% premium = dilution fears unfounded.", "resolved_tickers": ["NBIS"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLC", "bench_c_reason": "industry='Internet Content & Information'", "bench_c_industry": "Internet Content & Information", "unit_kind": "original", "lang": "en", "tweet_text": "$NBIS might be an interesting rebound trade.\n\nThe company is down 10% after they announced a $4B convertible offering to fund data center expansion.\n\nWhat’s interesting is that the announcement came right after their $27B deal with Meta. So a hyper-scaler customer is ready and willing to buy into the expansion. Plus the convertible notes are at 57% premium to where the stock is trading now.\n\nLooks like the market is selling off on the dilutive fears which are unfounded. If you look at the deal, it’s pretty investor friendly.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.018809006186399135, "ret_signed_m1d": -0.018809006186399135, "alpha_spy_m1d": -0.032960110176228796, "alpha_c_m1d": -0.033853847022596306, "bench_spy_m1d": 0.014151103989829661, "bench_c_m1d": 0.01504484083619717, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.024966254600416793, "ret_signed_p1d": 0.024966254600416793, "alpha_spy_p1d": 0.027430542875761077, "alpha_c_p1d": 0.029541347219627423, "bench_spy_p1d": -0.002464288275344284, "bench_c_p1d": -0.00457509261921063, "ret_p1w": -0.02926789214033354, "ret_signed_p1w": -0.02926789214033354, "alpha_spy_p1w": -0.025010120759010213, "alpha_c_p1w": -0.01286473523528231, "bench_spy_p1w": -0.0042577713813233276, "bench_c_p1w": -0.01640315690505123, "ret_p1m": 0.3945681489760291, "ret_signed_p1m": 0.3945681489760291, "alpha_spy_p1m": 0.3308482444120029, "alpha_c_p1m": 0.34574533148053455, "bench_spy_p1m": 0.06371990456402621, "bench_c_p1m": 0.04882281749549455, "ret_p3m": 1.1935729814408025, "ret_signed_p3m": 1.1935729814408025, "alpha_spy_p3m": 1.0492470831198748, "alpha_c_p3m": 1.2033564488863837, "bench_spy_p3m": 0.14432589832092768, "bench_c_p3m": -0.009783467445581229, "ret_p6m": null, "ret_signed_p6m": null, "alpha_spy_p6m": null, "alpha_c_p6m": null, "bench_spy_p6m": null, "bench_c_p6m": null, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 5, "stated_label": "p1w", "ret_signed_stated": -0.02926789214033354, "alpha_spy_stated": -0.025010120759010213, "alpha_c_stated": -0.01286473523528231, "price_path": [-0.3636, -0.3413, -0.2454, -0.2136, -0.2406, -0.2314, -0.2612, -0.2743, -0.2816, -0.294, -0.2413, -0.217, -0.1545, -0.1885, -0.1793, -0.174, -0.0947, -0.1107, -0.1398, -0.1238, -0.0829, -0.0829, -0.1625, -0.1661, -0.1831, -0.2029, -0.2286, -0.1745, -0.1529, -0.1995, -0.2815, -0.2564, -0.2413, -0.3051, -0.3769, -0.2738, -0.2166, -0.2258, -0.2526, -0.2432, -0.1733, -0.1733, -0.1775, -0.1414, -0.0924, -0.1741, -0.1514, -0.1348, -0.1049, -0.1154, -0.2309, -0.2324, -0.2679, -0.1753, -0.1932, -0.2465, -0.1992, -0.1867, -0.0554, -0.0887, -0.0473, 0.0952, -0.0188, 0.0, 0.025, -0.0079, -0.0372, -0.0308, -0.0293, -0.1062, -0.1496, -0.2218, -0.1248, -0.1401, -0.0822, -0.0822, -0.0508, -0.0098, 0.0543, 0.1499, 0.2228, 0.3036, 0.3659, 0.4066, 0.3946, 0.3254, 0.3424, 0.3204, 0.317, 0.3249, 0.2412, 0.2227, 0.143, 0.1909, 0.1659, 0.3031, 0.488, 0.4838, 0.6455, 0.5585, 0.4933, 0.5697, 0.5107, 0.7482, 0.8653, 0.8551, 0.6857, 0.6678, 0.6179, 0.855, 0.8115, 0.8115, 0.7549, 0.7575, 0.9091, 0.9491, 1.231, 1.1979, 1.1228, 1.1902, 0.9215, 0.8387, 0.8566, 0.7855, 0.8745, 0.9599, 1.1936, 1.236, 1.3693, 1.4181, 1.4181, 1.3921, 1.3106, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 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": "orig:2038975386542035206", "ticker_idx": 0, "ts": "2026-03-31T13:43:09+00:00", "symbol": "NVDA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "We may actually be early in the AI buildout! Agentic AI inflection... Sovereign AI will be a massive market", "tweet_type": "analysis", "timeline": "years", "summary": "Bullish NVDA: bear fears of CapEx peak are overblown; agentic AI, sovereign AI, and enterprise adoption suggest the buildout is still early.", "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": "original", "lang": "en", "tweet_text": "NVIDIA is in a ~20% drawdown.\n\nThe bears are worried about NVIDIA’s growth rates slowing beyond 2027 and whether ‘big tech’ can sustain its current level of CapEx (on ROI concerns).\n\nThe Opportunity\nIf we look at the surge in token usage, GPU rental pricing, or the exploding use cases for agentic AI and Copilots (especially in enterprises), a different picture emerges.\n\nWe may actually be early in the AI buildout!\n\n- Agentic AI inflection: The adoption of AI agents in enterprises will be a defining shift in 2026\n- Software transition: Software companies will need to transition to becoming token-driven or agentic AI-driven companies in 2026-2027.\n- Sovereign AI will be a massive market: each country will want its own AI foundation models.\n\nIs the market right to fear a CapEx peak, or is it just underestimating the scale of the AI buildout?", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.05292430309176288, "ret_signed_m1d": -0.05292430309176288, "alpha_spy_m1d": -0.0246775112607982, "alpha_c_m1d": 0.0015096965155043662, "bench_spy_m1d": -0.02824679183096468, "bench_c_m1d": -0.05443399960726725, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.007740860269023653, "ret_signed_p1d": 0.007740860269023653, "alpha_spy_p1d": 0.00020636885872016286, "alpha_c_p1d": -0.014611793514618832, "bench_spy_p1d": 0.00753449141030349, "bench_c_p1d": 0.022352653783642484, "ret_p1w": 0.021215603512665826, "ret_signed_p1w": 0.021215603512665826, "alpha_spy_p1w": 0.007561307902223424, "alpha_c_p1w": -0.021820390912662413, "bench_spy_p1w": 0.013654295610442402, "bench_c_p1w": 0.04303599442532824, "ret_p1m": 0.19982799840191623, "ret_signed_p1m": 0.19982799840191623, "alpha_spy_p1m": 0.10566186359553931, "alpha_c_p1m": -0.10319754809078696, "bench_spy_p1m": 0.09416613480637692, "bench_c_p1m": 0.3030255464927032, "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, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 252, "stated_label": "p1y", "ret_signed_stated": null, "alpha_spy_stated": null, "alpha_c_stated": null, "price_path": [0.0693, 0.0828, 0.0786, 0.0736, 0.0843, 0.061, 0.0599, 0.0604, 0.0654, 0.0501, 0.0725, 0.0678, 0.0678, 0.021, 0.0511, 0.0598, 0.076, 0.0692, 0.0809, 0.0981, 0.1038, 0.0959, 0.0642, 0.034, -0.0013, -0.0145, 0.0631, 0.0896, 0.081, 0.0897, 0.0718, 0.0482, 0.0482, 0.0606, 0.0778, 0.0773, 0.0884, 0.0983, 0.1057, 0.1213, 0.0601, 0.0159, 0.0463, 0.0323, 0.0495, 0.0512, 0.0196, 0.0472, 0.0594, 0.0667, 0.0501, 0.0335, 0.0506, 0.0432, 0.0344, 0.0239, -0.0097, 0.0071, 0.0046, 0.0245, -0.0181, -0.0394, -0.0529, 0.0, 0.0077, 0.0171, 0.0171, 0.0186, 0.0212, 0.044, 0.0545, 0.0816, 0.0855, 0.1268, 0.1403, 0.1373, 0.1564, 0.1586, 0.1461, 0.1611, 0.1447, 0.1942, 0.242, 0.2223, 0.1998, 0.1443, 0.1379, 0.1381, 0.1267, 0.1917, 0.2127, 0.2339, 0.2583, 0.2659, 0.2949, 0.3517, 0.292, 0.2748, 0.265, 0.2814, 0.2587, 0.2347, 0.2347, 0.232, 0.219, 0.2285, 0.2107, 0.2865, 0.2776, 0.2314, 0.2552, 0.1774, 0.1977, 0.1951, 0.1505, 0.1761, 0.1779, 0.2196, 0.1907, 0.1748, 0.2095, 0.2095, 0.1978, 0.1536, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 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:2039649278319046663", "ticker_idx": 0, "ts": "2026-04-02T10:20:57+00:00", "symbol": "MU", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "I see no reason for them to overinvest in capex and kill a multi $100 billion in profit 'golden goose'. The industry may soon tend towards a stable oligopoly", "tweet_type": "analysis", "timeline": "years", "summary": "Bullish on memory sector long-term: HBM commoditization fading, AI enterprise demand sustaining pricing, oligopoly forming; Micron favored as only US-based supplier.", "resolved_tickers": ["MU"], "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": "Great report on Micron. Here's how we are thinking about memory in the coming years:\n\n1) We know for sure that in the coming years, HBM and memory in general will be less of a commodity than in the past. This means higher gross margins even during the cycle trough (vs. past cycles). Depending on how one models it, the intrinsic value of Micron, SK Hynix, will differ. We are not sure how to model this yet.\n\n2) AI's enterprise use cases (Claude Copilot/Cowork and Agentic systems) have materially inflected since the last quarter of 2025. This is a massive tailwind for memory: hence, pricing may sustain for much longer than expected. \n\n3) long-term: I see no reason for them to overinvest in capex and kill a multi $100 billion in profit 'golden goose'. The industry may soon tend towards a stable oligopoly - long term agreements with customers are the first step towards this.   \n\nMicron, being the only US-based supplier, may have its own advantages. We are still thinking it through (maybe cheaper energy access vs. competitors in Korea and Japan, due to the war?).", "reply_text": null, "parent_text": null, "quoted_text": "$MU: Top Pick at Cantor, updates from road. \nSupply tightness remains, GMs/buybacks/CapEx addressed: https://t.co/7WXjzPjxCX", "parent_author": null, "ret_m1d": 0.004396067911945689, "ret_signed_m1d": 0.004396067911945689, "alpha_spy_m1d": 0.005295717345377371, "alpha_c_m1d": 0.005288212327171471, "bench_spy_m1d": -0.0008996494334316818, "bench_c_m1d": -0.0008921444152257818, "ret_t0": 0.0, "ret_signed_t0": 0.0, "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": 0.1509120276458067, "ret_signed_p1w": 0.1509120276458067, "alpha_spy_p1w": 0.11419528341757745, "alpha_c_p1w": 0.054077837379849836, "bench_spy_p1w": 0.03671674422822924, "bench_c_p1w": 0.09683419026595685, "ret_p1m": 0.4804773821276844, "ret_signed_p1m": 0.4804773821276844, "alpha_spy_p1m": 0.38164078690424263, "alpha_c_p1m": 0.18097697988871242, "bench_spy_p1m": 0.09883659522344179, "bench_c_p1m": 0.299500402238972, "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, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 252, "stated_label": "p1y", "ret_signed_stated": null, "alpha_spy_stated": null, "alpha_c_stated": null, "price_path": [-0.148, -0.0627, -0.0733, -0.1075, -0.0581, -0.056, -0.0771, -0.0902, -0.0812, -0.0099, -0.0099, -0.0038, 0.062, 0.0851, 0.0908, 0.0619, 0.1197, 0.188, 0.1894, 0.1323, 0.1949, 0.1448, 0.0355, 0.045, 0.0772, 0.0467, 0.0187, 0.1199, 0.1298, 0.1235, 0.1235, 0.0911, 0.1489, 0.1391, 0.1686, 0.149, 0.1409, 0.1709, 0.1342, 0.1255, 0.1263, 0.0363, 0.0938, 0.0837, 0.0107, 0.0626, 0.1002, 0.1427, 0.1063, 0.163, 0.2058, 0.2601, 0.2602, 0.2125, 0.1542, 0.1036, 0.0795, 0.0428, -0.0298, -0.025, -0.1213, -0.0775, 0.0044, 0.0, 0.0, 0.0315, 0.031, 0.1106, 0.1509, 0.1484, 0.1647, 0.2715, 0.2457, 0.2484, 0.2425, 0.2244, 0.227, 0.331, 0.3153, 0.3563, 0.4323, 0.3769, 0.4156, 0.4121, 0.4805, 0.574, 0.748, 0.8201, 0.7656, 1.0391, 1.1716, 1.0931, 1.1943, 1.1189, 0.9786, 0.8609, 0.9079, 0.9987, 1.0809, 1.0506, 1.0506, 1.4462, 1.535, 1.5216, 1.6513, 1.8274, 1.9055, 1.9477, 1.7195, 1.3591, 1.592, 1.5554, 1.4352, 1.7192, 1.6802, 1.9707, 1.7871, 1.8484, 2.0963, 2.0963, 2.3076, 1.8597, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 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:2039649278319046663", "ticker_idx": 1, "ts": "2026-04-02T10:20:57+00:00", "symbol": "SK Hynix", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "The intrinsic value of Micron, SK Hynix, will differ. We are not sure how to model this yet", "tweet_type": "analysis", "timeline": "years", "summary": "Bullish on memory sector long-term: HBM commoditization fading, AI enterprise demand sustaining pricing, oligopoly forming; Micron favored as only US-based supplier.", "resolved_tickers": ["000660.KS"], "resolution_method": "exchange_ticker", "resolution_reason": "SK Hynix trades on KOSPI as 000660.KS", "bench_c": "SMH", "bench_c_reason": "industry='Semiconductors'", "bench_c_industry": "Semiconductors", "unit_kind": "quote", "lang": "en", "tweet_text": "Great report on Micron. Here's how we are thinking about memory in the coming years:\n\n1) We know for sure that in the coming years, HBM and memory in general will be less of a commodity than in the past. This means higher gross margins even during the cycle trough (vs. past cycles). Depending on how one models it, the intrinsic value of Micron, SK Hynix, will differ. We are not sure how to model this yet.\n\n2) AI's enterprise use cases (Claude Copilot/Cowork and Agentic systems) have materially inflected since the last quarter of 2025. This is a massive tailwind for memory: hence, pricing may sustain for much longer than expected. \n\n3) long-term: I see no reason for them to overinvest in capex and kill a multi $100 billion in profit 'golden goose'. The industry may soon tend towards a stable oligopoly - long term agreements with customers are the first step towards this.   \n\nMicron, being the only US-based supplier, may have its own advantages. We are still thinking it through (maybe cheaper energy access vs. competitors in Korea and Japan, due to the war?).", "reply_text": null, "parent_text": null, "quoted_text": "$MU: Top Pick at Cantor, updates from road. \nSupply tightness remains, GMs/buybacks/CapEx addressed: https://t.co/7WXjzPjxCX", "parent_author": null, "ret_m1d": -0.05251141796891423, "ret_signed_m1d": -0.05251141796891423, "alpha_spy_m1d": -0.05161176853548255, "alpha_c_m1d": -0.05161927355368845, "bench_spy_m1d": -0.0008996494334316818, "bench_c_m1d": -0.0008921444152257818, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.011415507030035021, "ret_signed_p1d": 0.011415507030035021, "alpha_spy_p1d": 0.011415507030035021, "alpha_c_p1d": 0.011415507030035021, "bench_spy_p1d": 0.0, "bench_c_p1d": 0.0, "ret_p1w": 0.17237442018168414, "ret_signed_p1w": 0.17237442018168414, "alpha_spy_p1w": 0.1356576759534549, "alpha_c_p1w": 0.07554022991572729, "bench_spy_p1w": 0.03671674422822924, "bench_c_p1w": 0.09683419026595685, "ret_p1m": 0.651826500391725, "ret_signed_p1m": 0.651826500391725, "alpha_spy_p1m": 0.5529899051682832, "alpha_c_p1m": 0.35232609815275295, "bench_spy_p1m": 0.09883659522344179, "bench_c_p1m": 0.299500402238972, "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, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 252, "stated_label": "p1y", "ret_signed_stated": null, "alpha_spy_stated": null, "alpha_c_stated": null, "price_path": [-0.1728, -0.1545, -0.1386, -0.1522, -0.1466, -0.1591, -0.1545, -0.1466, -0.1386, -0.1295, -0.1534, -0.1568, -0.1397, -0.126, -0.1614, -0.0884, -0.0417, -0.0189, 0.0358, -0.0543, 0.0335, 0.0255, -0.0406, -0.044, 0.0107, -0.0018, -0.0201, 0.0118, 0.0027, 0.0027, 0.0027, 0.0027, 0.0187, 0.0813, 0.0836, 0.1451, 0.16, 0.2546, 0.2112, 0.2112, 0.0719, -0.0308, 0.0742, 0.0548, -0.0457, 0.0708, 0.0902, 0.0616, 0.0388, 0.1119, 0.1073, 0.2055, 0.1564, 0.1495, 0.0651, 0.1256, 0.1358, 0.0651, 0.0651, -0.0034, -0.0788, 0.024, -0.0525, 0.0, 0.0114, 0.0457, 0.1792, 0.1393, 0.1724, 0.1872, 0.2591, 0.2968, 0.3185, 0.2877, 0.3311, 0.3973, 0.3961, 0.3984, 0.395, 0.4749, 0.484, 0.476, 0.468, 0.468, 0.6518, 0.6518, 0.8276, 0.8881, 0.9247, 1.1461, 1.0947, 1.2557, 1.2489, 1.0765, 1.1005, 0.992, 0.992, 1.2146, 1.2158, 1.2158, 1.3425, 1.5605, 1.6135, 1.6637, 1.6979, 1.6945, 1.6945, 1.6237, 1.3634, 1.1819, 1.529, 1.3383, 1.3988, 1.4547, 1.6123, 1.7196, 1.8783, 2.0656, 2.1558, 2.3327, 1.9172, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 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:2039695587856236875", "ticker_idx": 0, "ts": "2026-04-02T13:24:58+00:00", "symbol": "NKE", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "When you're paying 30x P/E for a turnaround (like $NKE), there is zero margin for error. Every single assumption has to hit perfectly just to tread water.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bearish NKE: 30x P/E leaves no margin for error on a turnaround that seldom succeeds.", "resolved_tickers": ["NKE"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Footwear & Accessories'", "bench_c_industry": "Footwear & Accessories", "unit_kind": "quote", "lang": "en", "tweet_text": "'Turnarounds seldom turn' is a classic for a reason.\n\nWhen you're paying 30x P/E for a turnaround (like $NKE), there is zero margin for error. Every single assumption has to hit perfectly just to tread water.", "reply_text": null, "parent_text": null, "quoted_text": "$NKE is a good lesson to trust your real life instincts.\n\n- If you see everyone wearing Oncloud / new balance shoes instead of Nike\n\n- You see everyone wearing vuori or lululemon shorts instead of Nike\n\n- Even Uniqlo / GU for casual/athletic wear instead of Nike\n\nThen the only https://t.co/JN6TXkCXbY", "parent_author": null, "ret_m1d": 0.009957054914959462, "ret_signed_m1d": -0.009957054914959462, "alpha_spy_m1d": -0.010856704348391144, "alpha_c_m1d": 0.005299554039178922, "bench_spy_m1d": -0.0008996494334316818, "bench_c_m1d": 0.015256608954138384, "ret_t0": 0.0, "ret_signed_t0": -0.0, "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": -0.004299560149727322, "ret_signed_p1w": 0.004299560149727322, "alpha_spy_p1w": 0.04101630437795656, "alpha_c_p1w": 0.04674061192757861, "bench_spy_p1w": 0.03671674422822924, "bench_c_p1w": 0.04244105177785129, "ret_p1m": 0.00475229211890138, "ret_signed_p1m": -0.00475229211890138, "alpha_spy_p1m": 0.09408430310454041, "alpha_c_p1m": 0.09215010146356684, "bench_spy_p1m": 0.09883659522344179, "bench_c_p1m": 0.09690239358246822, "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, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.00475229211890138, "alpha_spy_stated": 0.09408430310454041, "alpha_c_stated": 0.09215010146356684, "price_path": [0.4507, 0.4691, 0.4212, 0.4671, 0.4819, 0.4756, 0.4904, 0.474, 0.452, 0.4473, 0.4473, 0.4304, 0.4704, 0.4716, 0.4621, 0.461, 0.4183, 0.3992, 0.4073, 0.3895, 0.3978, 0.3697, 0.4437, 0.4095, 0.4369, 0.403, 0.4172, 0.4016, 0.3735, 0.4192, 0.4192, 0.4572, 0.4736, 0.4749, 0.4702, 0.4183, 0.4408, 0.4253, 0.4376, 0.3978, 0.3806, 0.344, 0.327, 0.313, 0.2901, 0.2792, 0.2691, 0.2605, 0.2249, 0.2215, 0.2399, 0.2473, 0.21, 0.2093, 0.1851, 0.1928, 0.2105, 0.1989, 0.1783, 0.1625, 0.1595, 0.1953, 0.01, 0.0, 0.0, -0.0036, -0.0339, -0.024, -0.0043, -0.0355, -0.029, 0.0002, 0.0283, 0.0342, 0.0416, 0.0518, 0.0498, 0.0337, 0.0134, 0.0113, 0.0215, 0.019, 0.0045, 0.0038, 0.0048, -0.0249, -0.0256, -0.007, 0.005, -0.0011, -0.0407, -0.0416, -0.0419, -0.0491, -0.0523, -0.0367, -0.0401, 0.0, 0.0045, 0.0109, 0.0109, 0.017, 0.0405, 0.072, 0.0462, 0.0487, -0.0016, 0.0003, -0.0041, -0.0187, -0.013, 0.0195, 0.0037, 0.0494, 0.0258, 0.032, 0.0284, 0.0089, 0.032, 0.032, -0.0139, -0.0282, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 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:2040035194456154537", "ticker_idx": 0, "ts": "2026-04-03T11:54:27+00:00", "symbol": "DRAM", "kind": "etf", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "A pretty good ETF if anyone's looking for exposure to memory stocks.", "tweet_type": "news_reaction", "timeline": "unspecified", "summary": "Endorses DRAM ETF as a solid vehicle for memory stock exposure.", "resolved_tickers": ["DRAM"], "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 pretty good ETF if anyone's looking for exposure to memory stocks. \n\nNote: Rebound Capital has no relation or contact with those releasing the ETF.", "reply_text": null, "parent_text": null, "quoted_text": "If you want exposure to memory, $DRAM is a genuinely great ETF.\n\nI normally don't praise ETFs, but this is solid.\n\n1. $MU - 24.63%\n2. Samsung - 24.11%\n3. SK Hynix - 23.08%\n4. $SNDK  - 4.9%\n5. Kioxia - 4.86%\n6. $WDC - 4.77%\n7. Nanya - 3.89%\n8. Winbond - 2.4%\n\nDisclosure: Friends https://t.co/w4AP4tQTsF", "parent_author": null, "ret_m1d": -0.04801096110617853, "ret_signed_m1d": -0.04801096110617853, "alpha_spy_m1d": -0.04330635397152016, "alpha_c_m1d": -0.04330635397152016, "bench_spy_m1d": -0.004704607134658367, "bench_c_m1d": -0.004704607134658367, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.009602218385140304, "ret_signed_p1d": 0.009602218385140304, "alpha_spy_p1d": 0.009162217820513074, "alpha_c_p1d": 0.009162217820513074, "bench_spy_p1d": 0.0004400005646272298, "bench_c_p1d": 0.0004400005646272298, "ret_p1w": 0.15054867670165795, "ret_signed_p1w": 0.15054867670165795, "alpha_spy_p1w": 0.10931520040373988, "alpha_c_p1w": 0.10931520040373988, "bench_spy_p1w": 0.04123347629791807, "bench_c_p1w": 0.04123347629791807, "ret_p1m": 0.587448599374238, "ret_signed_p1m": 0.587448599374238, "alpha_spy_p1m": 0.4890466242193183, "alpha_c_p1m": 0.4890466242193183, "bench_spy_p1m": 0.09840197515491966, "bench_c_p1m": 0.09840197515491966, "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, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.587448599374238, "alpha_spy_stated": 0.4890466242193183, "alpha_c_stated": 0.4890466242193183, "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, -0.048, -0.048, 0.0, 0.0096, 0.1135, 0.1104, 0.1121, 0.1505, 0.2198, 0.1821, 0.2016, 0.2205, 0.2027, 0.1979, 0.2791, 0.2469, 0.2757, 0.3227, 0.2802, 0.311, 0.3488, 0.3858, 0.4564, 0.5874, 0.6694, 0.5964, 0.8107, 0.8889, 0.7593, 0.8704, 0.8447, 0.7524, 0.6914, 0.7068, 0.7665, 0.8635, 0.8114, 0.8114, 1.0751, 1.0826, 1.1457, 1.1674, 1.332, 1.3858, 1.3906, 1.2531, 0.9132, 1.0754, 1.0528, 0.9674, 1.2332, 1.2294, 1.4372, 1.3361, 1.3988, 1.6307, 1.6307, 1.7682, 1.3825, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 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:2041137461964026113", "ticker_idx": 0, "ts": "2026-04-06T12:54:28+00:00", "symbol": "GOOGL", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Google has a stake in almost every significant technological evolution happening currently", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish GOOGL: valuable stakes in SpaceX (~$150B at $2T IPO), Anthropic, and Waymo make it a diversified play on major tech trends.", "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": "- $GOOG owns ~7.5% of SpaceX. This implies that its stake in SpaceX will be worth ~$150B if it IPOs at the expected $2T valuation (SpaceTech).\n\n- Google also owns ~14% in Anthropic (Frontier LLMs).\n\n- Google also owns a majority stake in Waymo (self-driving cars).\n\nGoogle has a stake in almost every significant technological evolution happening currently.", "reply_text": null, "parent_text": null, "quoted_text": "SpaceX has officially filed for an IPO targeting a $1.75T valuation.\n\nWho currently owns SpaceX:\n\n• Elon Musk: 42%\n• Founders Fund (founded by Peter Thiel): 10.4%\n• $GOOGL Ventures: 7.4%\n• Others: 30% https://t.co/xfGdrij5R5", "parent_author": null, "ret_m1d": -0.014067093883636805, "ret_signed_m1d": -0.014067093883636805, "alpha_spy_m1d": -0.009362486748978438, "alpha_c_m1d": -0.01353022328211384, "bench_spy_m1d": -0.004704607134658367, "bench_c_m1d": -0.0005368706015229652, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.018233945467744705, "ret_signed_p1d": 0.018233945467744705, "alpha_spy_p1d": 0.017793944903117476, "alpha_c_p1d": 0.01769707486622174, "bench_spy_p1d": 0.0004400005646272298, "bench_c_p1d": 0.0005368706015229652, "ret_p1w": 0.07106906574822758, "ret_signed_p1w": 0.07106906574822758, "alpha_spy_p1w": 0.029835589450309508, "alpha_c_p1w": 0.0436889388444468, "bench_spy_p1w": 0.04123347629791807, "bench_c_p1w": 0.027380126903780777, "ret_p1m": 0.29480983904650193, "ret_signed_p1m": 0.29480983904650193, "alpha_spy_p1m": 0.19640786389158227, "alpha_c_p1m": 0.26018209590910657, "bench_spy_p1m": 0.09840197515491966, "bench_c_p1m": 0.03462774313739536, "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, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.29480983904650193, "alpha_spy_stated": 0.19640786389158227, "alpha_c_stated": 0.26018209590910657, "price_path": [0.0725, 0.0841, 0.0945, 0.1055, 0.1191, 0.1187, 0.1085, 0.0993, 0.0993, 0.0726, 0.0939, 0.1011, 0.0924, 0.1101, 0.1144, 0.1193, 0.1267, 0.1259, 0.1449, 0.1316, 0.1094, 0.1034, 0.0755, 0.0803, 0.0612, 0.0358, 0.0293, 0.0184, 0.0184, 0.0061, 0.0104, 0.0088, 0.0492, 0.0376, 0.0356, 0.0423, 0.0239, 0.0385, 0.021, 0.0113, 0.0098, 0.0023, -0.0056, 0.0212, 0.0235, 0.029, 0.0119, 0.0076, 0.0186, 0.0364, 0.0257, 0.0238, 0.0034, 0.0069, -0.0318, -0.0302, -0.0636, -0.0855, -0.0883, -0.0414, -0.0087, -0.0141, -0.0141, 0.0, 0.0182, 0.0578, 0.0617, 0.0575, 0.0711, 0.1097, 0.1238, 0.1201, 0.139, 0.1248, 0.1077, 0.1311, 0.1297, 0.148, 0.1678, 0.166, 0.1665, 0.2827, 0.2857, 0.2775, 0.2948, 0.3268, 0.3267, 0.336, 0.2955, 0.2912, 0.3421, 0.3369, 0.3226, 0.3232, 0.2922, 0.2964, 0.2922, 0.2766, 0.2766, 0.2963, 0.2961, 0.3005, 0.2678, 0.2546, 0.2062, 0.1967, 0.2407, 0.2285, 0.2118, 0.215, 0.1887, 0.1933, 0.1997, 0.2319, 0.245, 0.2134, 0.2275, 0.2275, 0.1663, 0.1576, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 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": "orig:2041167780960244033", "ticker_idx": 0, "ts": "2026-04-06T14:54:56+00:00", "symbol": "MELI", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "You're still paying ~30x forward earnings for a business under siege. We may be watching the medium-term economics of the industry deteriorate.", "tweet_type": "analysis", "timeline": "months", "summary": "Bearish MELI: moat weakening from Shopee/Amazon/Temu pressure in Brazil, margin squeeze, rising defaults, and 30x forward earnings too rich for a business under siege.", "resolved_tickers": ["MELI"], "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": "Mercado Libre's ($MELI) moat is weakening:\n\nWhile MELI looks attractive on first glance (stock down 35% but strong 45% YoY revenue growth), the competitive pressure is intensifying:\n\n- Squeezed from both sides in Brazil: In MELI’s largest market (~50% of revenue), Shopee is attacking their value-conscious buyers, while Amazon competes for the convenience-focused urban buyer (the most valuable e-commerce shoppers)\n\n- The price war is hurting margins: MELI lowered its shipping fees to take on Shopee, but Shopee products are still cheaper on average, with lower seller fees. Temu’s entry has further increased competition for the value-focused buyers\n\n- Logistics arms race: Huge investments by Amazon and MELI in logistics to compete with each other in Brazil. It’s not a winner-take-all market anymore\n\n- Fintech is a double-edged sword: the credit/lending business is riskier than core ecommerce. Rising defaults can severely hurt the whole platform\n\nThe stock reflects this. From its July 2025 all-time high of $2,645, MELI has shed ~35%, now trading near $1,718. Q4 EPS declined 12.5% despite 45% revenue growth. You're still paying ~30x forward earnings for a business under siege.\n\nWe may be watching the medium-term economics of the industry deteriorate.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.003011058676640088, "ret_signed_m1d": -0.003011058676640088, "alpha_spy_m1d": -0.0077156658112984555, "alpha_c_m1d": -0.011173194811609055, "bench_spy_m1d": -0.004704607134658367, "bench_c_m1d": -0.008162136134968967, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.018668506698604537, "ret_signed_p1d": -0.018668506698604537, "alpha_spy_p1d": -0.018228506133977307, "alpha_c_p1d": -0.03031565103763434, "bench_spy_p1d": 0.0004400005646272298, "bench_c_p1d": -0.011647144339029802, "ret_p1w": 0.0710723755332372, "ret_signed_p1w": -0.0710723755332372, "alpha_spy_p1w": -0.029838899235319127, "alpha_c_p1w": -0.02631817906708278, "bench_spy_p1w": 0.04123347629791807, "bench_c_p1w": 0.04475419646615442, "ret_p1m": 0.06252452029786415, "ret_signed_p1m": -0.06252452029786415, "alpha_spy_p1m": 0.03587745485705551, "alpha_c_p1m": 0.020289100995059872, "bench_spy_p1m": 0.09840197515491966, "bench_c_p1m": 0.08281362129292402, "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, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.06252452029786415, "alpha_spy_stated": 0.03587745485705551, "alpha_c_stated": 0.020289100995059872, "price_path": [0.2644, 0.2745, 0.2736, 0.257, 0.2124, 0.2289, 0.2271, 0.2132, 0.2132, 0.1897, 0.2031, 0.2592, 0.2496, 0.2936, 0.3418, 0.3264, 0.2969, 0.2557, 0.2554, 0.2277, 0.2002, 0.1897, 0.1519, 0.1901, 0.1841, 0.18, 0.1734, 0.1625, 0.1625, 0.155, 0.1746, 0.1673, 0.1675, 0.0901, 0.1241, 0.0335, 0.0178, 0.0276, 0.039, 0.0021, 0.0343, 0.0409, 0.0453, 0.0346, 0.0185, 0.0326, -0.0178, -0.0236, 0.0128, 0.0104, -0.0118, -0.0254, -0.0436, -0.0259, -0.0575, -0.0415, -0.0464, -0.0648, -0.0533, 0.0109, 0.005, 0.003, 0.003, 0.0, 0.0187, 0.0382, 0.0484, 0.0372, 0.0711, 0.0762, 0.0946, 0.0653, 0.085, 0.0934, 0.0841, 0.0881, 0.0578, 0.073, 0.0754, 0.0477, 0.0331, 0.0481, 0.0817, 0.0603, 0.0625, 0.0765, 0.0933, -0.0455, -0.0895, -0.0769, -0.0867, -0.0602, -0.0956, -0.0728, -0.0675, -0.0346, -0.019, -0.0269, -0.0269, -0.0364, -0.0083, -0.0087, -0.0086, 0.0121, -0.0219, -0.042, -0.0442, -0.06, -0.0575, -0.0405, -0.0714, -0.0587, -0.0706, -0.0374, -0.0212, -0.0459, -0.044, -0.044, -0.0707, -0.0722, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 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:2041434714113028191", "ticker_idx": 0, "ts": "2026-04-07T08:35:38+00:00", "symbol": "UNH", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "the political risk remains for UNH - both parties will try to reduce healthcare costs, and their plans might hurt the incumbent leader in private insurance", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Despite the Medicare rate beat, political risk from bipartisan healthcare cost-cutting remains a headwind for UNH as the dominant private insurer.", "resolved_tickers": ["UNH"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLV", "bench_c_reason": "industry='Healthcare Plans'", "bench_c_industry": "Healthcare Plans", "unit_kind": "quote", "lang": "en", "tweet_text": "CMS sets the 2027 Medicare annual increase at 2.5% vs the 1% expected and the near 0% increase first suggested.\n\nThis was expected - the 0% increase initially floated seemed like an aggressive negotiating tactic by the CMS.\n\nBut the political risk remains for UNH - both parties will try to reduce healthcare costs, and their plans might hurt the incumbent leader in private insurance.", "reply_text": null, "parent_text": null, "quoted_text": "BREAKING: UnitedHealth stock, $UNH, surges over +11% after US Medicare  and Medicaid Services finalizes plans and payment policies, seeing a +2.5% annual increase for private insurers.\n\nThis was well ahead of the expected +1.0% increase. https://t.co/b5hUOlgUuu", "parent_author": null, "ret_m1d": -0.08569209864486194, "ret_signed_m1d": 0.08569209864486194, "alpha_spy_m1d": 0.08525229159558478, "alpha_c_m1d": 0.08371341629903117, "bench_spy_m1d": -0.0004398070492771522, "bench_c_m1d": -0.0019786823458307623, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.00568686846926203, "ret_signed_p1d": 0.00568686846926203, "alpha_spy_p1d": 0.031156504981452948, "alpha_c_p1d": 0.026837114170728094, "bench_spy_p1d": 0.02546963651219092, "bench_c_p1d": 0.021150245701466064, "ret_p1w": 0.020992313117966566, "ret_signed_p1w": -0.020992313117966566, "alpha_spy_p1w": 0.032464943447717776, "alpha_c_p1w": -0.005573167173021032, "bench_spy_p1w": 0.05345725656568434, "bench_c_p1w": 0.015419145944945534, "ret_p1m": 0.19351370457606465, "ret_signed_p1m": -0.19351370457606465, "alpha_spy_p1m": -0.08033440086729748, "alpha_c_p1m": -0.20149640116991407, "bench_spy_p1m": 0.11317930370876716, "bench_c_p1m": -0.007982696593849425, "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, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.19351370457606465, "alpha_spy_stated": -0.08033440086729748, "alpha_c_stated": -0.20149640116991407, "price_path": [0.1184, 0.1092, 0.098, 0.0768, 0.0801, 0.093, 0.0674, 0.0674, 0.0913, 0.1213, 0.143, 0.1488, 0.1339, -0.0884, -0.0519, -0.0575, -0.0748, -0.0791, -0.0837, -0.1103, -0.1341, -0.1079, -0.111, -0.119, -0.1006, -0.083, -0.0546, -0.0546, -0.0678, -0.0707, -0.0651, -0.0649, -0.0896, -0.1166, -0.0836, -0.0757, -0.0543, -0.049, -0.0674, -0.0586, -0.0689, -0.0762, -0.0733, -0.0825, -0.0731, -0.0997, -0.0833, -0.0723, -0.0655, -0.076, -0.0887, -0.1044, -0.1241, -0.1152, -0.1208, -0.1289, -0.1583, -0.1493, -0.1207, -0.1097, -0.099, -0.099, -0.0857, 0.0, -0.0057, -0.0027, -0.011, 0.0171, 0.021, 0.0205, 0.0282, 0.0549, 0.0512, 0.1244, 0.1488, 0.1522, 0.1533, 0.1526, 0.1919, 0.2048, 0.2039, 0.1984, 0.2048, 0.1824, 0.1935, 0.2015, 0.2348, 0.2493, 0.2881, 0.3036, 0.2969, 0.2799, 0.271, 0.2649, 0.2456, 0.2429, 0.2624, 0.2624, 0.2246, 0.2479, 0.2431, 0.2359, 0.2344, 0.2281, 0.2251, 0.2884, 0.2981, 0.3212, 0.3421, 0.3241, 0.3179, 0.3275, 0.3433, 0.3323, 0.3057, 0.3104, 0.3104, 0.3291, 0.3331, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 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": "orig:2041513657071538504", "ticker_idx": 0, "ts": "2026-04-07T13:49:19+00:00", "symbol": "UNH", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "We think the regulatory overhang on UNH will be structural. Both parties will want to lower healthcare costs in America (for good reason), and UNH may stand to lose as an incumbent in the current system.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bearish UNH: regulatory overhang structural as both parties target healthcare costs; today's Medicare rate beat only negates near-term bear thesis, not the long-run risk.", "resolved_tickers": ["UNH"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLV", "bench_c_reason": "industry='Healthcare Plans'", "bench_c_industry": "Healthcare Plans", "unit_kind": "original", "lang": "en", "tweet_text": "$UNH: UnitedHealth is up 7%. The reason:\n\n- 2.5% vs 1% expected Medicare annual increase in ‘27: The CMS has set the 2027 annual increase in Medicare Advantage for private insurers at 2.5% vs. the 1% increase expected (and 0% previously floated).\n\n- This negates the near term bear thesis for UNH: that the US government will squeeze insurers to keep medical costs low, even at the expense of people losing their private insurance (if companies decide to let go of business due to low reimbursement)\n\nWe think the regulatory overhang on UNH will be structural. Both parties will want to lower healthcare costs in America (for good reason), and UNH may stand to lose as an incumbent in the current system.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.08569209864486194, "ret_signed_m1d": 0.08569209864486194, "alpha_spy_m1d": 0.08525229159558478, "alpha_c_m1d": 0.08371341629903117, "bench_spy_m1d": -0.0004398070492771522, "bench_c_m1d": -0.0019786823458307623, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.00568686846926203, "ret_signed_p1d": 0.00568686846926203, "alpha_spy_p1d": 0.031156504981452948, "alpha_c_p1d": 0.026837114170728094, "bench_spy_p1d": 0.02546963651219092, "bench_c_p1d": 0.021150245701466064, "ret_p1w": 0.020992313117966566, "ret_signed_p1w": -0.020992313117966566, "alpha_spy_p1w": 0.032464943447717776, "alpha_c_p1w": -0.005573167173021032, "bench_spy_p1w": 0.05345725656568434, "bench_c_p1w": 0.015419145944945534, "ret_p1m": 0.19351370457606465, "ret_signed_p1m": -0.19351370457606465, "alpha_spy_p1m": -0.08033440086729748, "alpha_c_p1m": -0.20149640116991407, "bench_spy_p1m": 0.11317930370876716, "bench_c_p1m": -0.007982696593849425, "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, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.19351370457606465, "alpha_spy_stated": -0.08033440086729748, "alpha_c_stated": -0.20149640116991407, "price_path": [0.1184, 0.1092, 0.098, 0.0768, 0.0801, 0.093, 0.0674, 0.0674, 0.0913, 0.1213, 0.143, 0.1488, 0.1339, -0.0884, -0.0519, -0.0575, -0.0748, -0.0791, -0.0837, -0.1103, -0.1341, -0.1079, -0.111, -0.119, -0.1006, -0.083, -0.0546, -0.0546, -0.0678, -0.0707, -0.0651, -0.0649, -0.0896, -0.1166, -0.0836, -0.0757, -0.0543, -0.049, -0.0674, -0.0586, -0.0689, -0.0762, -0.0733, -0.0825, -0.0731, -0.0997, -0.0833, -0.0723, -0.0655, -0.076, -0.0887, -0.1044, -0.1241, -0.1152, -0.1208, -0.1289, -0.1583, -0.1493, -0.1207, -0.1097, -0.099, -0.099, -0.0857, 0.0, -0.0057, -0.0027, -0.011, 0.0171, 0.021, 0.0205, 0.0282, 0.0549, 0.0512, 0.1244, 0.1488, 0.1522, 0.1533, 0.1526, 0.1919, 0.2048, 0.2039, 0.1984, 0.2048, 0.1824, 0.1935, 0.2015, 0.2348, 0.2493, 0.2881, 0.3036, 0.2969, 0.2799, 0.271, 0.2649, 0.2456, 0.2429, 0.2624, 0.2624, 0.2246, 0.2479, 0.2431, 0.2359, 0.2344, 0.2281, 0.2251, 0.2884, 0.2981, 0.3212, 0.3421, 0.3241, 0.3179, 0.3275, 0.3433, 0.3323, 0.3057, 0.3104, 0.3104, 0.3291, 0.3331, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 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": "orig:2042226329672962123", "ticker_idx": 0, "ts": "2026-04-09T13:01:14+00:00", "symbol": "PLTR", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "At ~75x revenue, PLTR is priced for permanent irreplaceability. Even a partial erosion of the integration moat justifies significant multiple compression. I don't see how Palantir can compete with AI-native companies like Anthropic and OpenAI.", "tweet_type": "analysis", "timeline": "quarters", "summary": "Bearish PLTR: AI-native rivals (Anthropic, OpenAI) commoditize its integration moat, justifying significant multiple compression from ~75x revenue.", "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": "original", "lang": "en", "tweet_text": "Will AI-native companies (like Anthropic) disrupt Palantir?\n\n- $PLTR's premium is based on its AI platform (AIP) being irreplaceable. That companies’ disparate datasets need Palantir’s operating system to enable AI. It seems AI agents can now handle at least some of that!\n\n- Palantir's bull case rests on the premise that integrating LLMs with messy enterprise data requires its proprietary stack and an army of Palantir’s forward-deployed engineers. \nAnthropic is now building a new enterprise model. ‘Computer Use’ and ‘Claude for Enterprise’ are products that may not need Palantir’s integration layer in a few years. Anthropic’s agents are commoditizing exactly what PLTR charges a premium for. The forward-deployed model ages poorly as agentic AI handles orchestration, stripping out the pricing power of expensive human deployments. CIOs under cost pressure will increasingly choose lightweight, API-first solutions over a rigid proprietary OS.\n\n- At ~75x revenue, PLTR is priced for permanent irreplaceability. Even a partial erosion of the integration moat justifies significant multiple compression. I don’t see how Palantir can compete with AI-native companies like Anthropic and OpenAI. It does not have the resources to create its own LLM-based agents. I am sure it’s easier for Anthropic to partner with a consulting firm and deploy its agents than for Palantir to build its own models.\n\nPalantir is valued at ~$330B for $5B in revenue. It will need to grow its revenue to at least $30B to justify this valuation. To do so while its moat is weakening will be extremely tough. \n\nWhat am I missing?", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.0787032614096248, "ret_signed_m1d": -0.0787032614096248, "alpha_spy_m1d": -0.08443918844422649, "alpha_c_m1d": -0.08443918844422649, "bench_spy_m1d": -0.005735927034601684, "bench_c_m1d": -0.005735927034601684, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.018622176659327416, "ret_signed_p1d": 0.018622176659327416, "alpha_spy_p1d": 0.017960401232768874, "alpha_c_p1d": 0.017960401232768874, "bench_spy_p1d": -0.0006617754265585418, "bench_c_p1d": -0.0006617754265585418, "ret_p1w": 0.09403010573338255, "ret_signed_p1w": -0.09403010573338255, "alpha_spy_p1w": -0.06204051341872563, "alpha_c_p1w": -0.06204051341872563, "bench_spy_p1w": 0.03198959231465692, "bench_c_p1w": 0.03198959231465692, "ret_p1m": 0.056019597293807344, "ret_signed_p1m": -0.056019597293807344, "alpha_spy_p1m": 0.028859378713795847, "alpha_c_p1m": 0.028859378713795847, "bench_spy_p1m": 0.08487897600760319, "bench_c_p1m": 0.08487897600760319, "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, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 63, "stated_label": "p3m", "ret_signed_stated": null, "alpha_spy_stated": null, "alpha_c_stated": null, "price_path": [0.3749, 0.3714, 0.3672, 0.357, 0.3101, 0.3101, 0.2915, 0.267, 0.2714, 0.2997, 0.2834, 0.2698, 0.2058, 0.1638, 0.1234, 0.1323, 0.2099, 0.0694, -0.0037, 0.0415, 0.0952, 0.0691, 0.0398, -0.0104, 0.0071, 0.0071, 0.0194, 0.0375, 0.0337, 0.0364, 0.0008, -0.0126, 0.0284, 0.0418, 0.0513, 0.1125, 0.1282, 0.174, 0.17, 0.2044, 0.1988, 0.1582, 0.1618, 0.1763, 0.1568, 0.1704, 0.1884, 0.1707, 0.193, 0.1547, 0.2326, 0.1861, 0.1875, 0.1308, 0.0963, 0.0541, 0.121, 0.1226, 0.1377, 0.1377, 0.1336, 0.15, 0.0787, 0.0, -0.0186, 0.0144, 0.0399, 0.0894, 0.094, 0.1218, 0.118, 0.1186, 0.1696, 0.0849, 0.0966, 0.0966, 0.0819, 0.0573, 0.0661, 0.1041, 0.1191, 0.0415, 0.0253, 0.0503, 0.056, 0.049, 0.0422, -0.0034, 0.0248, 0.0268, 0.0356, 0.0366, 0.051, 0.0531, 0.049, 0.049, 0.0468, 0.0155, 0.0985, 0.1996, 0.2311, 0.1661, 0.0897, 0.0859, 0.0386, 0.0458, 0.0121, -0.0021, 0.0045, -0.0192, 0.0323, 0.0212, 0.0011, -0.0155, -0.0155, -0.0842, -0.1066, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 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": "orig:2042229482350952629", "ticker_idx": 0, "ts": "2026-04-09T13:13:46+00:00", "symbol": "AMZN", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "we are bullish on Amazon", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Long AMZN: Anthropic ARR signals AWS cloud dominance + ROI justification; in-house silicon lowers costs, demand for inference to skyrocket with agentic AI.", "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": "Anthropic’s results show why we are bullish on Amazon\n\nAmazon’s stock dropped due to fears that AI Capex may not deliver the necessary ROI. We think that’s the wrong read:\n\n- We are at the beginning of AI reshaping developed world economies\n- We are massively compute-constrained and will remain so. Demand for inference will skyrocket with the use of agentic AI\n\nLook at the meteoric rise of Anthropic’s ARR (see image attached). As the primary partner for AWS, Anthropic’s ARR is a leading indicator for AWS’s cloud dominance (and sufficient ROI). As Anthropic continues to win in the enterprise, AWS revenue should accelerate (justifying its large capex announcement).\n\nAlso, AWS’s business running on its own chips has now exceeded a $20B run rate. Its ability to lower computing costs (through its in-house silicon business) is a key competitive advantage.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.053070807705554834, "ret_signed_m1d": -0.053070807705554834, "alpha_spy_m1d": -0.04733488067095315, "alpha_c_m1d": -0.03604045647041054, "bench_spy_m1d": -0.005735927034601684, "bench_c_m1d": -0.017030351235144292, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.020244002182271403, "ret_signed_p1d": 0.020244002182271403, "alpha_spy_p1d": 0.020905777608829945, "alpha_c_p1d": 0.018913486921216638, "bench_spy_p1d": -0.0006617754265585418, "bench_c_p1d": 0.0013305152610547655, "ret_p1w": 0.06869250362090118, "ret_signed_p1w": 0.06869250362090118, "alpha_spy_p1w": 0.03670291130624426, "alpha_c_p1w": 0.0253183977451934, "bench_spy_p1w": 0.03198959231465692, "bench_c_p1w": 0.04337410587570778, "ret_p1m": 0.16704472415517646, "ret_signed_p1m": 0.16704472415517646, "alpha_spy_p1m": 0.08216574814757327, "alpha_c_p1m": 0.1008748139252893, "bench_spy_p1m": 0.08487897600760319, "bench_c_p1m": 0.06616991022988716, "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, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.16704472415517646, "alpha_spy_stated": 0.08216574814757327, "alpha_c_stated": 0.1008748139252893, "price_path": [0.0549, 0.0383, 0.0128, 0.0194, 0.0234, 0.0234, -0.0113, -0.01, 0.003, 0.0236, 0.0204, 0.0472, 0.0401, 0.0346, 0.0242, 0.0398, 0.0213, -0.0028, -0.0469, -0.0999, -0.1067, -0.1142, -0.1266, -0.1457, -0.1492, -0.1492, -0.1391, -0.1235, -0.1232, -0.1007, -0.1215, -0.1074, -0.0985, -0.1101, -0.1012, -0.1081, -0.1067, -0.072, -0.063, -0.0875, -0.0863, -0.0827, -0.0899, -0.1032, -0.1112, -0.0938, -0.079, -0.1018, -0.1065, -0.121, -0.1006, -0.113, -0.0939, -0.1117, -0.1468, -0.14, -0.1086, -0.0988, -0.1022, -0.1022, -0.0893, -0.0851, -0.0531, 0.0, 0.0202, 0.0267, 0.0658, 0.0636, 0.0687, 0.0724, 0.0626, 0.0696, 0.0929, 0.0917, 0.1299, 0.1176, 0.1115, 0.1258, 0.1344, 0.1481, 0.1643, 0.1708, 0.1769, 0.1606, 0.167, 0.1513, 0.1377, 0.1561, 0.1437, 0.1305, 0.1336, 0.11, 0.1342, 0.149, 0.1398, 0.1398, 0.1354, 0.1635, 0.1727, 0.1583, 0.1182, 0.0979, 0.0701, 0.0862, 0.053, 0.0495, 0.0451, 0.0186, 0.0336, 0.021, 0.0529, 0.0529, 0.0165, 0.046, 0.046, -0.0037, 0.0041, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 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": "reply:2043584365314363548", "ticker_idx": 0, "ts": "2026-04-13T06:57:35+00:00", "symbol": "MA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Mastercard is not pricing in any stablecoin risk. It's still trading at 30x PE... AI will only help these 2 businesses. The risk is regulatory.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish MA: stablecoin risk overblown, AI is a tailwind, only real risk is regulatory; valuation still reasonable at 30x PE.", "resolved_tickers": ["MA"], "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": "reply_other", "lang": "en", "tweet_text": "Hey Aria. Mastercard is not pricing in any stablecoin risk. It's still trading at 30x PE. What's being priced in is:\n- Antitrust regulations risk in the USA\n- Foreign countries see Visa/Mastercard as a core part of de-risking from US technology (as these can be replaced much easier than Big Tech)\n\nAI will only help these 2 businesses. The risk is regulatory.", "reply_text": null, "parent_text": "Please explain to me STEP BY STEP how stable-coins will disrupt $MA\n\nLike are we being serious here?", "quoted_text": null, "parent_author": "ariaradnia", "ret_m1d": -0.01950525614862486, "ret_signed_m1d": -0.01950525614862486, "alpha_spy_m1d": -0.009827385383652132, "alpha_c_m1d": -0.0022772073610883847, "bench_spy_m1d": -0.00967787076497273, "bench_c_m1d": -0.017228048787536476, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.009005440035369627, "ret_signed_p1d": 0.009005440035369627, "alpha_spy_p1d": -0.0031794371744711114, "alpha_c_p1d": 0.006682594519601848, "bench_spy_p1d": 0.012184877209840739, "bench_c_p1d": 0.0023228455157677796, "ret_p1w": 0.0158677849204949, "ret_signed_p1w": 0.0158677849204949, "alpha_spy_p1w": -0.01710110238836582, "alpha_c_p1w": -0.0029088275442199496, "bench_spy_p1w": 0.03296888730886072, "bench_c_p1w": 0.018776612464714848, "ret_p1m": -0.01724407024503649, "ret_signed_p1m": -0.01724407024503649, "alpha_spy_p1m": -0.0931513628252374, "alpha_c_p1m": -0.01569550656785801, "bench_spy_p1m": 0.0759072925802009, "bench_c_p1m": -0.0015485636771784828, "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, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.01724407024503649, "alpha_spy_stated": -0.0931513628252374, "alpha_c_stated": -0.01569550656785801, "price_path": [0.0733, 0.0652, 0.059, 0.059, 0.0437, 0.0356, 0.0459, 0.03, 0.0351, 0.0215, 0.0234, 0.0673, 0.0576, 0.0901, 0.081, 0.0865, 0.0833, 0.0771, 0.0508, 0.0607, 0.055, 0.0353, 0.0175, 0.0175, 0.0245, 0.0364, 0.0212, 0.0333, -0.0263, -0.0225, -0.0001, 0.0104, 0.0152, 0.0227, 0.0292, 0.0264, 0.0298, 0.0253, 0.0162, 0.0103, -0.0107, -0.0238, -0.0225, -0.0019, -0.0056, -0.0412, -0.0359, -0.0258, -0.0178, -0.0207, -0.0131, -0.0171, -0.0495, -0.0303, -0.0192, -0.0349, -0.0314, -0.0314, -0.0156, -0.0219, -0.0046, -0.0099, -0.0195, 0.0, 0.009, 0.0224, 0.0196, 0.025, 0.0159, 0.0054, 0.0031, -0.0122, -0.0087, -0.0042, -0.0019, 0.0327, -0.0111, -0.0258, -0.0076, -0.0226, -0.0328, -0.015, -0.0258, -0.0212, -0.0172, -0.0353, -0.0367, -0.0283, -0.0055, -0.0175, -0.0207, -0.0176, -0.0197, -0.0197, -0.0306, -0.0266, -0.0292, -0.0287, -0.0262, -0.0608, -0.0728, -0.0527, -0.0344, -0.045, -0.0262, -0.0383, -0.0434, -0.0366, -0.0353, -0.0143, -0.0307, -0.0369, -0.0369, -0.0482, -0.04, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 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": "orig:2044025003000377431", "ticker_idx": 0, "ts": "2026-04-14T12:08:31+00:00", "symbol": "MC.PA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "we are happy to hold onto our position for the long term. Valuations are cheap, and the stock will recover as the luxury sector turns around", "tweet_type": "position_disclosure", "timeline": "quarters", "summary": "Long LVMH: holding position, cheap at ~20x PE, expect organic growth recovery in 2026 as luxury sector turns around.", "resolved_tickers": ["MC.PA"], "resolution_method": "exchange_ticker", "resolution_reason": "MC.PA is LVMH on Euronext Paris", "bench_c": "FEZ", "bench_c_reason": "country_fallback (suffix='PA')", "bench_c_industry": "Luxury Goods", "unit_kind": "original", "lang": "en", "tweet_text": "LVMH Revenue Update Review:\n\nLVMH released its Q1 2026 revenue numbers. \n\nI think this was a decent print (not enough to rerate the stock, though), with 1% organic growth, which would have been 2% excluding the war.\nReported numbers were weaker due to currency movements, which should even out in the longer term.\n\nKey highlights:\n1) 1% organic growth with Fashion and Leather at -2% organic growth (the biggest disappointment in the report)\n\n2) Geographic performance: its 2 largest regions (~55% of revenue) did well, with the USA growth at 3% organic growth and Asia ex Japan growing at 7%. Europe and Japan had -3% organic growth due to weaker tourist spending. \n\n3) Segment performance: All segments were either flat (Perfumes and Cosmetics) or showed growth (Wines +5%, Selective Retail +4%, Watches & Jewellery +7%). Only Fashion and Leather posted negative organic growth of -2%, attributed to regional instability and leadership transitions at top brands. We think this will turn around as well in 2026.\n\nIn total, the results were as expected, and hence the stock was down just -3%. The recovery is indeed more delayed than we expected at RC. But at ~20x PE ratio and with positive catalysts upcoming in 2026 (organic growth recovery), we are happy to hold onto our position for the long term. \nValuations are cheap, and the stock will recover as the luxury sector turns around. \n\nWe will look to add to our position in LVMH if:\n1) It becomes too cheap: <17 PE due to a market fall. We will increase our position then.\n2) In case the broader sector's commentary starts pointing towards a recovery, as the war and trade wars wind down.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.0006230740717310113, "ret_signed_m1d": 0.0006230740717310113, "alpha_spy_m1d": 0.012661267374350915, "alpha_c_m1d": 0.011199563417289893, "bench_spy_m1d": -0.012038193302619904, "bench_c_m1d": -0.010576489345558882, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0009346111075965169, "ret_signed_p1d": 0.0009346111075965169, "alpha_spy_p1d": -0.006956358119447392, "alpha_c_p1d": 0.007786971474124327, "bench_spy_p1d": 0.007890969227043909, "bench_c_p1d": -0.00685236036652781, "ret_p1w": 0.009450536538153642, "ret_signed_p1w": 0.009450536538153642, "alpha_spy_p1w": -0.004401946139303892, "alpha_c_p1w": 0.028815822454668405, "bench_spy_p1w": 0.013852482677457534, "bench_c_p1w": -0.019365285916514763, "ret_p1m": -0.04522749869645326, "ret_signed_p1m": -0.04522749869645326, "alpha_spy_p1m": -0.11412987389114349, "alpha_c_p1m": -0.03331047073800075, "bench_spy_p1m": 0.06890237519469022, "bench_c_p1m": -0.011917027958452509, "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, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 63, "stated_label": "p3m", "ret_signed_stated": null, "alpha_spy_stated": null, "alpha_c_stated": null, "price_path": [0.2996, 0.2653, 0.2105, 0.1839, 0.2155, 0.2373, 0.2284, 0.2213, 0.224, 0.1274, 0.1266, 0.1359, 0.1181, 0.0988, 0.1135, 0.1179, 0.1137, 0.1121, 0.1168, 0.0907, 0.0894, 0.068, 0.0765, 0.0961, 0.1089, 0.104, 0.1521, 0.159, 0.1669, 0.1486, 0.1457, 0.1301, 0.0811, 0.0431, 0.0539, 0.0506, 0.0431, 0.0338, 0.0479, 0.0392, 0.0281, -0.0161, -0.0051, -0.0191, -0.0268, -0.044, -0.0488, -0.0308, -0.043, -0.0397, -0.0481, -0.0534, -0.037, -0.0381, -0.0215, -0.0216, -0.0216, -0.0216, -0.0303, 0.0361, 0.0052, 0.0038, 0.0006, 0.0, 0.0009, 0.0054, 0.0373, 0.0189, 0.0095, -0.0149, -0.013, -0.0204, -0.0291, -0.0401, -0.0534, -0.0471, -0.0471, -0.0607, -0.0481, 0.0006, 0.0097, -0.0022, -0.0459, -0.0436, -0.0452, -0.0272, -0.0383, -0.0369, -0.0248, 0.0002, -0.0004, -0.0024, 0.0088, -0.0096, 0.0216, 0.0153, -0.0014, -0.0083, 0.0027, -0.0272, 0.0008, 0.0112, 0.0184, 0.0392, 0.0294, 0.0411, 0.0778, 0.0821, 0.0983, 0.0787, 0.0662, 0.0539, 0.0161, 0.0211, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 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": "orig:2044399079707558327", "ticker_idx": 0, "ts": "2026-04-15T12:54:58+00:00", "symbol": "AMZN", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "We spent months researching and made Amazon our largest portfolio position at the beginning of 2026. Now, our thesis is playing out, and the stock is up 17% over the last month.", "tweet_type": "position_disclosure", "timeline": "unspecified", "summary": "Amazon is their largest portfolio position; thesis playing out on AWS neutral AI cloud differentiation, Trainium chips, $20B chip run rate, and capex backed by customer commitments.", "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": "We spent months researching and made Amazon our largest portfolio position at the beginning of 2026.\n\nNow, our thesis is playing out, and the stock is up 17% over the last month.\n\n- AWS is the only neutral AI cloud provider: both Google and Microsoft are competitors (or will compete) with the AI Labs - Anthropic and OpenAI. This is a huge differentiator.\n\n- Anthropic’s models were trained on Amazon’s Trainium chips.\n\n- Chip division is now at an annual run rate of $20bn. In fact, as a standalone company, the chips business would have been at a $50bn run rate!\n\n- AWS AI revenue is at a $15B run rate after 3 years (which is 260x larger than AWS's $58m run rate after 3 years).\n\n- 1M+ robots are now deployed across fulfillment.\n\n- The $200 Billion in capex is backed by customer commitments. In fact, demand is so high that some customers asked to buy all of AWS’s Graviton chips, which AWS had to turn down.\n\nAmazon’s move to design its own silicon is proving to be a critical moat.\n\nCheck out our original deep dive on Amazon on Substack - https://t.co/UlOy3LfZSM", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.002092572524993619, "ret_signed_m1d": 0.002092572524993619, "alpha_spy_m1d": 0.009921761859922995, "alpha_c_m1d": 0.016815893475692234, "bench_spy_m1d": -0.007829189334929376, "bench_c_m1d": -0.014723320950698615, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.004828961562342915, "ret_signed_p1d": 0.004828961562342915, "alpha_spy_p1d": 0.0023716139154053018, "alpha_c_p1d": 0.009482928718907213, "bench_spy_p1d": 0.002457347646937613, "bench_c_p1d": -0.004653967156564298, "ret_p1w": 0.027605636258960065, "ret_signed_p1w": 0.027605636258960065, "alpha_spy_p1w": 0.011504186652902426, "alpha_c_p1w": 0.021259417378447942, "bench_spy_p1w": 0.01610144960605764, "bench_c_p1w": 0.006346218880512122, "ret_p1m": 0.0753319968639965, "ret_signed_p1m": 0.0753319968639965, "alpha_spy_p1m": 0.006426073465436, "alpha_c_p1m": 0.0711858151908995, "bench_spy_p1m": 0.0689059233985605, "bench_c_p1m": 0.004146181673096994, "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, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.0753319968639965, "alpha_spy_stated": 0.006426073465436, "alpha_c_stated": 0.0711858151908995, "price_path": [-0.0377, -0.0377, -0.0704, -0.0692, -0.057, -0.0376, -0.0406, -0.0154, -0.0221, -0.0272, -0.037, -0.0223, -0.0398, -0.0624, -0.1039, -0.1536, -0.1601, -0.1672, -0.1788, -0.1968, -0.2, -0.2, -0.1905, -0.1759, -0.1756, -0.1545, -0.174, -0.1607, -0.1524, -0.1633, -0.1549, -0.1614, -0.16, -0.1275, -0.119, -0.142, -0.1409, -0.1375, -0.1443, -0.1568, -0.1643, -0.1479, -0.134, -0.1555, -0.1599, -0.1736, -0.1544, -0.166, -0.148, -0.1648, -0.1978, -0.1913, -0.1619, -0.1526, -0.1559, -0.1559, -0.1437, -0.1398, -0.1097, -0.0598, -0.0407, -0.0346, 0.0021, 0.0, 0.0048, 0.0083, -0.0009, 0.0057, 0.0276, 0.0265, 0.0623, 0.0508, 0.0451, 0.0585, 0.0666, 0.0795, 0.0948, 0.1008, 0.1066, 0.0912, 0.0973, 0.0825, 0.0697, 0.087, 0.0753, 0.0629, 0.0658, 0.0436, 0.0664, 0.0803, 0.0717, 0.0717, 0.0676, 0.094, 0.1026, 0.0891, 0.0513, 0.0323, 0.0061, 0.0213, -0.0099, -0.0132, -0.0173, -0.0423, -0.0281, -0.04, -0.01, -0.0101, -0.0443, -0.0165, -0.0165, -0.0632, -0.0559, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 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": "orig:2044683076849348985", "ticker_idx": 0, "ts": "2026-04-16T07:43:28+00:00", "symbol": "ASML.AS", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Stock is expensive at ~40x forward PE ratio", "tweet_type": "analysis", "timeline": "unspecified", "summary": "ASML is expensive at ~40x forward PE despite raised guidance; implied cautious/bearish valuation stance.", "resolved_tickers": ["ASML.AS"], "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": "original", "lang": "en", "tweet_text": "Here’s our recap of the latest ASML Q1’26 earnings report:\n\n- Q1 results: Q1 total net sales of €8.8 billion, a gross margin of 53.0%.\n\n- Full Year 2026 Guide (raised): ASML now expects total net sales of €36 billion to €40 billion, with a gross margin of 51% to 53%. This is a meaningful rise from the prior guidance of €34–39 billion. This includes potential export controls and bans by the USA. ASML’s revenue is now derisked from bans.\n\n- Demand exceeds supply: demand at ASML’s customers is supported by long-term commitment from their own customers.\n\n- Better geographic mix: Demand from Chinese customers is expected to be significantly lower in 2026 than in 2025. In Q1’26, revenue from China was 19% (vs. 36% last quarter). Revenue from Korea surged.\n\nStock is expensive at ~40x forward PE ratio.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.006052669340553596, "ret_signed_m1d": -0.006052669340553596, "alpha_spy_m1d": -0.008503993232493401, "alpha_c_m1d": -0.010010426247504367, "bench_spy_m1d": -0.002451323891939805, "bench_c_m1d": -0.003957756906950771, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.017503678912630827, "ret_signed_p1d": -0.017503678912630827, "alpha_spy_p1d": -0.00541799281098676, "alpha_c_p1d": 0.003076831466365615, "bench_spy_p1d": 0.012085686101644066, "bench_c_p1d": 0.02058051037899644, "ret_p1w": 0.0009815436963560575, "ret_signed_p1w": -0.0009815436963560575, "alpha_spy_p1w": 0.008695551852861971, "alpha_c_p1w": 0.05849519121257374, "bench_spy_p1w": 0.009677095549218029, "bench_c_p1w": 0.059476734908929796, "ret_p1m": 0.07106910712044967, "ret_signed_p1m": -0.07106910712044967, "alpha_spy_p1m": -0.01761013544332224, "alpha_c_p1m": 0.15219395749669906, "bench_spy_p1m": 0.05345897167712743, "bench_c_p1m": 0.22326306461714873, "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, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.07106910712044967, "alpha_spy_stated": -0.01761013544332224, "alpha_c_stated": 0.15219395749669906, "price_path": [-0.0848, -0.0688, -0.0567, -0.0391, -0.0376, -0.0378, -0.0054, -0.0244, -0.0263, -0.0071, 0.0005, -0.0276, -0.0683, -0.061, -0.0249, -0.0146, -0.0242, -0.0121, -0.035, -0.0263, -0.0226, -0.0191, 0.0182, 0.0128, 0.027, 0.0218, 0.0334, 0.0538, 0.008, 0.0088, -0.01, -0.0497, -0.0186, -0.0299, -0.0618, -0.0613, -0.0185, -0.0195, -0.0345, -0.0352, -0.0206, -0.0236, -0.0258, -0.0442, -0.0772, -0.0386, -0.0172, -0.009, -0.0465, -0.0623, -0.0905, -0.0846, -0.0286, -0.0504, -0.0504, -0.0504, -0.089, -0.0082, 0.01, 0.0388, 0.0304, 0.0504, 0.0061, 0.0, 0.0175, 0.0183, 0.0118, 0.0222, 0.001, 0.0243, -0.006, -0.0394, -0.0224, 0.002, 0.002, -0.0266, 0.0075, 0.0698, 0.0657, 0.0816, 0.0702, 0.0376, 0.0878, 0.1206, 0.0711, 0.0365, 0.0239, 0.0927, 0.1027, 0.155, 0.1727, 0.1393, 0.1283, 0.1403, 0.1352, 0.1427, 0.1983, 0.2175, 0.228, 0.1986, 0.2416, 0.2365, 0.2355, 0.2919, 0.3358, 0.3298, 0.3044, 0.3578, 0.3739, 0.359, 0.3573, 0.2794, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 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": "orig:2045153360920388069", "ticker_idx": 0, "ts": "2026-04-17T14:52:13+00:00", "symbol": "NFLX", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "we viewed Netflix as a risky investment in January… Market saturation… Pricing power may soon hit a ceiling… Engagement is declining… Valuation is stretched: 38x PE for 10–15% growth is hard to justify given the headwinds", "tweet_type": "analysis", "timeline": "years", "summary": "Bearish NFLX: market saturation, pricing ceiling, declining engagement, big-tech competition, and stretched 38x PE all cap upside.", "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": "Netflix is down -10% post earnings. Here’s why we viewed Netflix as a risky investment in January:\n\n- Market saturation: 80%+ of US and European households (the highest paying subs) already pay for at least one streaming service. These markets are largely saturated.\n\n- Pricing power may soon hit a ceiling: Hard to justify $30–40/month (for the highest tier) when free AI-generated content on TikTok, YouTube, and Instagram keeps improving. Netflix can’t increase prices in the next 5 years at the same rate it has done in the last 5 years.\n\n- Engagement is declining: Hours watched per subscriber per day is in a persistent downtrend (as estimated by us).\n\n- Two front competition: Tech giants (Amazon, Apple) are increasing content costs via sports rights etc.; while UGC (user generated content) platforms like YouTube and Instagram are offering infinite free content.\n\n- Valuation is stretched: 38x PE for 10–15% growth is hard to justify given the headwinds\n\nhttps://t.co/dr0y8O66dJ", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.10769708786215126, "ret_signed_m1d": -0.10769708786215126, "alpha_spy_m1d": -0.11963845435671738, "alpha_c_m1d": -0.10996405105310958, "bench_spy_m1d": -0.011941366494566119, "bench_c_m1d": -0.0022669631909583154, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.025485518340967683, "ret_signed_p1d": 0.025485518340967683, "alpha_spy_p1d": 0.023485783225948187, "alpha_c_p1d": 0.02254682191448698, "bench_spy_p1d": -0.0019997351150194964, "bench_c_p1d": -0.0029386964264807025, "ret_p1w": -0.05004619504028973, "ret_signed_p1w": 0.05004619504028973, "alpha_spy_p1w": 0.05539723355916726, "alpha_c_p1w": 0.02015538267980732, "bench_spy_p1w": 0.005351038518877527, "bench_c_p1w": -0.02989081236048241, "ret_p1m": -0.07871746197611906, "ret_signed_p1m": 0.07871746197611906, "alpha_spy_p1m": 0.1188644257471092, "alpha_c_p1m": 0.06091733405200983, "bench_spy_p1m": 0.04014696377099014, "bench_c_p1m": -0.017800127924109233, "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, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 252, "stated_label": "p1y", "ret_signed_stated": null, "alpha_spy_stated": null, "alpha_c_stated": null, "price_path": [-0.1033, -0.1228, -0.1415, -0.115, -0.1193, -0.1205, -0.1302, -0.1454, -0.142, -0.1495, -0.1785, -0.1762, -0.1689, -0.1553, -0.1628, -0.1552, -0.1818, -0.2204, -0.2101, -0.2101, -0.2087, -0.1985, -0.2087, -0.1916, -0.2188, -0.198, -0.1501, -0.1307, -0.011, -0.0023, 0.004, 0.0139, 0.0191, 0.0176, 0.0104, -0.0038, -0.0249, -0.0308, -0.0206, -0.0217, -0.0303, -0.0268, -0.0572, -0.0564, -0.0404, -0.0657, -0.0517, -0.041, -0.0399, -0.0446, -0.0119, -0.0181, 0.0139, 0.0139, 0.0166, 0.0155, 0.0214, 0.0487, 0.0586, 0.0601, 0.0922, 0.1069, 0.1077, 0.0, -0.0255, -0.0486, -0.0418, -0.0461, -0.05, -0.061, -0.0518, -0.0533, -0.038, -0.054, -0.0646, -0.0968, -0.0929, -0.0931, -0.1009, -0.1219, -0.0992, -0.1002, -0.1066, -0.1057, -0.0787, -0.082, -0.0947, -0.0823, -0.0895, -0.0895, -0.099, -0.1024, -0.1125, -0.116, -0.1178, -0.1437, -0.1623, -0.1619, -0.1555, -0.1508, -0.1634, -0.1573, -0.1648, -0.1744, -0.1607, -0.191, -0.2091, -0.2048, -0.2048, -0.2511, -0.25, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 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": "orig:2046565430647791972", "ticker_idx": 0, "ts": "2026-04-21T12:23:16+00:00", "symbol": "UNH", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "UNH may be a sell on rallies, from here", "tweet_type": "analysis", "timeline": "weeks", "summary": "Despite Q1 beat, UNH faces persistent political/regulatory overhangs preventing re-rating to prior highs; sell on rallies.", "resolved_tickers": ["UNH"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLV", "bench_c_reason": "industry='Healthcare Plans'", "bench_c_industry": "Healthcare Plans", "unit_kind": "original", "lang": "en", "tweet_text": "UNH Q1’26 earnings (Stock up +8% premarket) - UNH may be past its worst slump in years.\n\nUnitedHealth's Q1 2026 results landed well ahead of expectations (conference call not out yet, though). \n\n- Adjusted EPS of $7.23 vs. $6.57 estimate. \n- Revenue at $111.7B vs. $109.6B, with both UnitedHealthcare and Optum beating. \n- The medical care ratio (MCR) of 83.9% vs. analyst expectations of 85.5% (84.8% in Q1’25). For an insurer, this is the single most watched number: it tells you how much of every premium dollar goes out in claims. This may be a signal that these costs are coming under control.\n- Management raised FY26 adj. EPS guidance from >$17.75 to >$18.25, above the Street consensus of $17.86.\n\nThe worst of the business downturn (seen over the last 2+ years) may be over for UNH. I expect to see short covering and a potential for the rally to continue in the coming days. \n\nBut the key concern is that UNH may not be re-rated back to the highs it enjoyed in the last decade, as political and regulatory risks will continue to chill any re-rating. UNH may be a sell on rallies, from here.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.06511368483741808, "ret_signed_m1d": 0.06511368483741808, "alpha_spy_m1d": 0.07170372195282004, "alpha_c_m1d": 0.07539325248471807, "bench_spy_m1d": 0.006590037115401959, "bench_c_m1d": 0.01027956764729998, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.021704561612472695, "ret_signed_p1d": -0.021704561612472695, "alpha_spy_p1d": -0.011577849517353744, "alpha_c_p1d": -0.018552169269759, "bench_spy_p1d": 0.01012671209511895, "bench_c_p1d": 0.0031523923427136946, "ret_p1w": 0.059998224180295656, "ret_signed_p1w": -0.059998224180295656, "alpha_spy_p1w": -0.04918986802192449, "alpha_c_p1w": -0.07425267982019901, "bench_spy_p1w": 0.010808356158371168, "bench_c_p1w": -0.014254455639903352, "ret_p1m": 0.10777141102358256, "ret_signed_p1m": -0.10777141102358256, "alpha_spy_p1m": -0.0549791516772673, "alpha_c_p1m": -0.09947912982648854, "bench_spy_p1m": 0.05279225934631526, "bench_c_p1m": 0.00829228119709402, "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, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.10777141102358256, "alpha_spy_stated": -0.0549791516772673, "alpha_c_stated": -0.09947912982648854, "price_path": [0.0165, 0.0217, 0.0084, -0.1893, -0.1568, -0.1618, -0.1771, -0.181, -0.185, -0.2087, -0.2299, -0.2066, -0.2093, -0.2165, -0.2001, -0.1845, -0.1592, -0.1592, -0.1709, -0.1735, -0.1685, -0.1683, -0.1903, -0.2144, -0.185, -0.1779, -0.159, -0.1542, -0.1706, -0.1627, -0.1719, -0.1784, -0.1758, -0.184, -0.1756, -0.1993, -0.1847, -0.1749, -0.1689, -0.1783, -0.1895, -0.2035, -0.221, -0.2131, -0.2181, -0.2253, -0.2514, -0.2434, -0.218, -0.2082, -0.1987, -0.1987, -0.1868, -0.1106, -0.1157, -0.113, -0.1205, -0.0954, -0.092, -0.0924, -0.0856, -0.0618, -0.0651, 0.0, 0.0217, 0.0247, 0.0258, 0.0251, 0.06, 0.0715, 0.0707, 0.0658, 0.0715, 0.0516, 0.0615, 0.0686, 0.0982, 0.1111, 0.1456, 0.1594, 0.1534, 0.1383, 0.1304, 0.1249, 0.1078, 0.1054, 0.1227, 0.1227, 0.0892, 0.1098, 0.1055, 0.0991, 0.0978, 0.0922, 0.0896, 0.1458, 0.1545, 0.175, 0.1936, 0.1776, 0.1721, 0.1807, 0.1947, 0.1849, 0.1613, 0.1654, 0.1654, 0.1821, 0.1856, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 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": "orig:2046568605295448527", "ticker_idx": 0, "ts": "2026-04-21T12:35:53+00:00", "symbol": "AMZN", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "This is a very long-term trend.", "tweet_type": "analysis", "timeline": "years", "summary": "Long AMZN: Anthropic investment at a steal valuation + 5GW Trainium commitment materializes November thesis; long-term bullish trend.", "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": "The catalyst we flagged as the cornerstone of our Amazon thesis in November '25 is materializing as expected:\n\n- Amazon will invest up to $25B in Anthropic. And will invest $5B now at $380B market cap. This is a steal. Anthropic is trading at >$800B in private secondary deals.\n\n- Anthropic to secure up to 5 gigawatts (GW) of current and future generations of Amazon’s Trainium chips to train and power their advanced AI models. This is a ~$100B spending commitment.\n\nAmazon is +3% in pre-market. The sentiment around $AMZN continues to improve. This is a very long-term trend.\n\nhttps://t.co/5YSliEvqOf", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.006522367488003167, "ret_signed_m1d": -0.006522367488003167, "alpha_spy_m1d": -0.013112404603405126, "alpha_c_m1d": -0.014087286645278918, "bench_spy_m1d": 0.006590037115401959, "bench_c_m1d": 0.007564919157275751, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.021807838295304194, "ret_signed_p1d": 0.021807838295304194, "alpha_spy_p1d": 0.011681126200185243, "alpha_c_p1d": 0.02214409262257866, "bench_spy_p1d": 0.01012671209511895, "bench_c_p1d": -0.0003362543272744656, "ret_p1w": 0.03917413629491384, "ret_signed_p1w": 0.03917413629491384, "alpha_spy_p1w": 0.028365780136542673, "alpha_c_p1w": 0.05564886340553943, "bench_spy_p1w": 0.010808356158371168, "bench_c_p1w": -0.016474727110625587, "ret_p1m": 0.06042177536811044, "ret_signed_p1m": 0.06042177536811044, "alpha_spy_p1m": 0.00762951602179518, "alpha_c_p1m": 0.06907944076838834, "bench_spy_p1m": 0.05279225934631526, "bench_c_p1m": -0.008657665400277903, "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, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 252, "stated_label": "p1y", "ret_signed_stated": null, "alpha_spy_stated": null, "alpha_c_stated": null, "price_path": [-0.0623, -0.043, -0.046, -0.0209, -0.0276, -0.0327, -0.0425, -0.0278, -0.0452, -0.0677, -0.1089, -0.1584, -0.1648, -0.1719, -0.1834, -0.2013, -0.2046, -0.2046, -0.1951, -0.1805, -0.1803, -0.1593, -0.1786, -0.1655, -0.1571, -0.168, -0.1597, -0.1661, -0.1648, -0.1324, -0.1239, -0.1469, -0.1457, -0.1424, -0.1491, -0.1616, -0.169, -0.1527, -0.1389, -0.1602, -0.1647, -0.1782, -0.1591, -0.1707, -0.1529, -0.1695, -0.2024, -0.1959, -0.1666, -0.1574, -0.1606, -0.1606, -0.1485, -0.1446, -0.1147, -0.0651, -0.0461, -0.0401, -0.0036, -0.0056, -0.0008, 0.0026, -0.0065, 0.0, 0.0218, 0.0207, 0.0563, 0.0449, 0.0392, 0.0525, 0.0606, 0.0734, 0.0886, 0.0946, 0.1004, 0.0851, 0.0911, 0.0763, 0.0637, 0.0809, 0.0693, 0.0569, 0.0598, 0.0377, 0.0604, 0.0742, 0.0657, 0.0657, 0.0615, 0.0878, 0.0964, 0.0829, 0.0454, 0.0264, 0.0004, 0.0155, -0.0155, -0.0188, -0.0229, -0.0477, -0.0336, -0.0455, -0.0156, -0.0156, -0.0497, -0.0221, -0.0221, -0.0685, -0.0612, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 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": "orig:2050198040385143262", "ticker_idx": 0, "ts": "2026-05-01T12:57:58+00:00", "symbol": "GOOGL", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "the most impressive part of Alphabet's latest earnings result was the acceleration and scale in Google's cloud division (GCP)", "tweet_type": "analysis", "timeline": "quarters", "summary": "Bullish GOOGL on GCP acceleration and $462B backlog; bearish AMZN as AWS 28% growth is unimpressive vs peers.", "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": "original", "lang": "en", "tweet_text": "There’s a lot of focus on Google’s consumer AI story. We all know how Gemini’s chatbot is gaining share versus ChatGPT and how search revenue is growing 19% at scale!\n\nBut the most impressive part of Alphabet’s latest earnings result was the acceleration and scale in Google’s cloud division (GCP):\n\nThis quarter, the GCP revenue grew at ~63% YoY!\nEven more impressive is that GCP has an approximate backlog of $462B. 50% of this will convert to revenue in the next 2 years. That is, $231B in GCP revenue is already contracted for the coming 2 years. And they will get new business on top of this!\nWith numbers like this in the cloud division, I get why the market is unimpressed with Microsoft’s 40% growth in Azure and AWS’s 28% growth. Amazon, in particular, needs to accelerate its growth rate. 28% growth is not impressive enough in such a supply-starved environment (even of a higher base).", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.0023076230018400645, "ret_signed_m1d": -0.0023076230018400645, "alpha_spy_m1d": 0.00045382557625295306, "alpha_c_m1d": -0.0005084912485506798, "bench_spy_m1d": -0.0027614485780930176, "bench_c_m1d": -0.0017991317532893847, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.006326388005902461, "ret_signed_p1d": -0.006326388005902461, "alpha_spy_p1d": -0.002662995859145978, "alpha_c_p1d": -0.0010145158924315112, "bench_spy_p1d": -0.0036633921467564834, "bench_c_p1d": -0.00531187211347095, "ret_p1w": 0.039176466694841316, "ret_signed_p1w": 0.039176466694841316, "alpha_spy_p1w": 0.015628284210480237, "alpha_c_p1w": 0.037291549655242395, "bench_spy_p1w": 0.02354818248436108, "bench_c_p1w": 0.0018849170395989212, "ret_p1m": -0.02416452678250358, "ret_signed_p1m": -0.02416452678250358, "alpha_spy_p1m": -0.07674201181874862, "alpha_c_p1m": -0.014654615043045993, "bench_spy_p1m": 0.05257748503624504, "bench_c_p1m": -0.009509911739457588, "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, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 63, "stated_label": "p3m", "ret_signed_stated": null, "alpha_spy_stated": null, "alpha_c_stated": null, "price_path": [-0.1198, -0.1371, -0.1418, -0.1635, -0.1597, -0.1746, -0.1943, -0.1994, -0.2079, -0.2079, -0.2175, -0.2141, -0.2153, -0.1839, -0.193, -0.1945, -0.1893, -0.2036, -0.1923, -0.2058, -0.2134, -0.2146, -0.2204, -0.2266, -0.2057, -0.2039, -0.1996, -0.213, -0.2163, -0.2078, -0.1939, -0.2022, -0.2037, -0.2196, -0.2168, -0.247, -0.2457, -0.2716, -0.2887, -0.2909, -0.2544, -0.2289, -0.2331, -0.2331, -0.2222, -0.208, -0.1773, -0.1742, -0.1775, -0.1669, -0.1368, -0.1259, -0.1288, -0.1141, -0.1252, -0.1385, -0.1202, -0.1213, -0.1071, -0.0917, -0.0931, -0.0927, -0.0023, 0.0, -0.0063, 0.0071, 0.032, 0.0319, 0.0392, 0.0076, 0.0043, 0.0439, 0.0399, 0.0288, 0.0292, 0.0051, 0.0083, 0.0051, -0.0071, -0.0071, 0.0083, 0.0081, 0.0115, -0.0139, -0.0242, -0.0618, -0.0692, -0.035, -0.0445, -0.0575, -0.055, -0.0754, -0.0718, -0.0669, -0.0418, -0.0317, -0.0562, -0.0452, -0.0452, -0.0928, -0.0996, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 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": "orig:2050198040385143262", "ticker_idx": 1, "ts": "2026-05-01T12:57:58+00:00", "symbol": "AMZN", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": false, "explicit_audit": "kept_implicit_alias_present", "polarity_reversed": false, "quote": "Amazon, in particular, needs to accelerate its growth rate. 28% growth is not impressive enough in such a supply-starved environment", "tweet_type": "analysis", "timeline": "quarters", "summary": "Bullish GOOGL on GCP acceleration and $462B backlog; bearish AMZN as AWS 28% growth is unimpressive vs peers.", "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": "There’s a lot of focus on Google’s consumer AI story. We all know how Gemini’s chatbot is gaining share versus ChatGPT and how search revenue is growing 19% at scale!\n\nBut the most impressive part of Alphabet’s latest earnings result was the acceleration and scale in Google’s cloud division (GCP):\n\nThis quarter, the GCP revenue grew at ~63% YoY!\nEven more impressive is that GCP has an approximate backlog of $462B. 50% of this will convert to revenue in the next 2 years. That is, $231B in GCP revenue is already contracted for the coming 2 years. And they will get new business on top of this!\nWith numbers like this in the cloud division, I get why the market is unimpressed with Microsoft’s 40% growth in Azure and AWS’s 28% growth. Amazon, in particular, needs to accelerate its growth rate. 28% growth is not impressive enough in such a supply-starved environment (even of a higher base).", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.011928770933196664, "ret_signed_m1d": 0.011928770933196664, "alpha_spy_m1d": 0.009167322355103646, "alpha_c_m1d": 0.00956850216916627, "bench_spy_m1d": -0.0027614485780930176, "bench_c_m1d": -0.002360268764030393, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.014128002271583506, "ret_signed_p1d": -0.014128002271583506, "alpha_spy_p1d": -0.01779139441833999, "alpha_c_p1d": -0.021798827424172607, "bench_spy_p1d": -0.0036633921467564834, "bench_c_p1d": -0.0076708251525891, "ret_p1w": 0.016476488292153313, "ret_signed_p1w": -0.016476488292153313, "alpha_spy_p1w": 0.007071694192207767, "alpha_c_p1w": -0.003242048203039527, "bench_spy_p1w": 0.02354818248436108, "bench_c_p1w": 0.013234440089113786, "ret_p1m": -0.026094086875325884, "ret_signed_p1m": 0.026094086875325884, "alpha_spy_p1m": 0.07867157191157093, "alpha_c_p1m": 0.022385139132334864, "bench_spy_p1m": 0.05257748503624504, "bench_c_p1m": -0.00370894774299102, "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, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 63, "stated_label": "p3m", "ret_signed_stated": null, "alpha_spy_stated": null, "alpha_c_stated": null, "price_path": [-0.1105, -0.1315, -0.1699, -0.216, -0.2219, -0.2285, -0.2392, -0.2559, -0.259, -0.259, -0.2502, -0.2366, -0.2363, -0.2168, -0.2348, -0.2225, -0.2148, -0.2249, -0.2172, -0.2232, -0.2219, -0.1918, -0.1839, -0.2052, -0.2042, -0.201, -0.2073, -0.2189, -0.2259, -0.2107, -0.1978, -0.2177, -0.2218, -0.2344, -0.2167, -0.2275, -0.2108, -0.2263, -0.2569, -0.2509, -0.2236, -0.2151, -0.218, -0.218, -0.2068, -0.2031, -0.1752, -0.129, -0.1114, -0.1058, -0.0717, -0.0737, -0.0692, -0.066, -0.0745, -0.0684, -0.0481, -0.0491, -0.0159, -0.0266, -0.0319, -0.0195, -0.0119, 0.0, 0.0141, 0.0197, 0.0251, 0.0108, 0.0165, 0.0027, -0.0091, 0.007, -0.0039, -0.0154, -0.0127, -0.0333, -0.0121, 0.0007, -0.0072, -0.0072, -0.0111, 0.0134, 0.0214, 0.0089, -0.0261, -0.0438, -0.068, -0.0539, -0.0829, -0.0859, -0.0897, -0.1128, -0.0997, -0.1108, -0.0829, -0.083, -0.1147, -0.089, -0.089, -0.1322, -0.1254, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 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": "orig:2051293789709558056", "ticker_idx": 0, "ts": "2026-05-04T13:32:05+00:00", "symbol": "AMD", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "AMD is the market leader in data center CPUs, and the gap is expected to widen further with the launch of 2nm Venice chips. AMD should get a better share of the incremental revenue driven by agentic demand for CPUs. $AMD is much better placed to win.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Long AMD as dominant data-center CPU leader poised to capture disproportionate share of agentic AI-driven CPU demand, widening lead with 2nm Venice.", "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": "original", "lang": "en", "tweet_text": "While all the focus so far has been on GPUs, the next bottleneck lies in CPUs.\n\nCPU bottlenecks account for ~90% of execution time for the agentic AI workloads, as CPU is responsible for API calls, data cleaning, and managing context windows.\n\nBefore agentic AI, we only needed one CPU for every 12 GPUs. But the latest projections from Nvidia put that at 1 CPU for every 2 GPUs.\n\nAMD is the market leader in data center CPUs, and the gap is expected to widen further with the launch of 2nm Venice chips. AMD should get a better share of the incremental revenue driven by agentic demand for CPUs.\n\nWhile both Intel & Nvidia (Vera CPUs) are competing in this market, $AMD is much better placed to win.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.055630378651527757, "ret_signed_m1d": 0.055630378651527757, "alpha_spy_m1d": 0.051953516717637926, "alpha_c_m1d": 0.04965157337082293, "bench_spy_m1d": 0.00367686193388983, "bench_c_m1d": 0.005978805280704824, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.04017099278984926, "ret_signed_p1d": 0.04017099278984926, "alpha_spy_p1d": 0.03214876406590683, "alpha_c_p1d": 0.00879706349290843, "bench_spy_p1d": 0.008022228723942426, "bench_c_p1d": 0.03137392929694083, "ret_p1w": 0.34329799457324306, "ret_signed_p1w": 0.34329799457324306, "alpha_spy_p1w": 0.3136465997426332, "alpha_c_p1w": 0.20612088405112505, "bench_spy_p1w": 0.029651394830609856, "bench_c_p1w": 0.137177110522118, "ret_p1m": 0.5270245505037134, "ret_signed_p1m": 0.5270245505037134, "alpha_spy_p1m": 0.4691422910493426, "alpha_c_p1m": 0.2795452961517264, "bench_spy_p1m": 0.057882259454370866, "bench_c_p1m": 0.24747925435198703, "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, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": 0.5270245505037134, "alpha_spy_stated": 0.4691422910493426, "alpha_c_stated": 0.2795452961517264, "price_path": [-0.4139, -0.4364, -0.3897, -0.3676, -0.3747, -0.3747, -0.397, -0.393, -0.393, -0.4054, -0.4141, -0.4046, -0.414, -0.4244, -0.3739, -0.3826, -0.4036, -0.4138, -0.4185, -0.4409, -0.4084, -0.416, -0.4366, -0.4066, -0.405, -0.4003, -0.421, -0.4338, -0.4244, -0.4252, -0.416, -0.399, -0.4105, -0.4066, -0.3987, -0.3551, -0.4034, -0.4086, -0.426, -0.4044, -0.3845, -0.3632, -0.3632, -0.3553, -0.3514, -0.3213, -0.3071, -0.2825, -0.2773, -0.2532, -0.2442, -0.1853, -0.1849, -0.195, -0.167, -0.1115, -0.106, 0.0184, -0.0202, -0.0537, -0.013, 0.0379, 0.0556, 0.0, 0.0402, 0.2338, 0.1959, 0.3328, 0.3433, 0.3126, 0.3044, 0.3167, 0.2417, 0.2326, 0.2123, 0.3105, 0.3164, 0.3688, 0.3688, 0.4753, 0.4509, 0.5169, 0.5111, 0.4936, 0.527, 0.5885, 0.5319, 0.3655, 0.4356, 0.3923, 0.3246, 0.4301, 0.4978, 0.6023, 0.4853, 0.5005, 0.5734, 0.5734, 0.6151, 0.5137, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 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": "orig:2051859789123387812", "ticker_idx": 0, "ts": "2026-05-06T03:01:10+00:00", "symbol": "SAP.DE", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "This is the writing on the wall for horizontal SaaS companies. Mercedes has reduced $SAP usage by 40%... If automobile companies that manage complex supply chains and production lines using SAP can cut it out, other companies will follow suit soon enough (or pricing will come under pressure).", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bearish SAP and horizontal SaaS broadly: Mercedes cutting SAP usage 40% signals enterprise AI displacing seats and pressuring pricing sector-wide.", "resolved_tickers": ["SAP.DE"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "FEZ", "bench_c_reason": "country_fallback (suffix='DE')", "bench_c_industry": "Software - Application", "unit_kind": "original", "lang": "en", "tweet_text": "This is the writing on the wall for horizontal SaaS companies. \n\nMercedes has reduced $SAP usage by 40% and is now prioritizing their own internal AI models.\n\nThis is the first time a major player has publicly mentioned reducing their software seats.  \n\nIf automobile companies that manage complex supply chains and production lines using SAP can cut it out, other companies will follow suit soon enough (or pricing will come under pressure).", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.0135280215200827, "ret_signed_m1d": 0.0135280215200827, "alpha_spy_m1d": -0.00018083331993967722, "alpha_c_m1d": -0.01913351715202216, "bench_spy_m1d": -0.013708854840022378, "bench_c_m1d": -0.03266153867210486, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.013795857604807615, "ret_signed_p1d": -0.013795857604807615, "alpha_spy_p1d": -0.016861940023878197, "alpha_c_p1d": -0.0349816835358534, "bench_spy_p1d": -0.0030660824190705815, "bench_c_p1d": -0.021185825931045787, "ret_p1w": -0.08746324790237647, "ret_signed_p1w": 0.08746324790237647, "alpha_spy_p1w": 0.09901903227378672, "alpha_c_p1w": 0.06333498416651384, "bench_spy_p1w": 0.01155578437141025, "bench_c_p1w": -0.02412826373586263, "ret_p1m": 0.10166080854001636, "ret_signed_p1m": -0.10166080854001636, "alpha_spy_p1m": -0.06996405892593471, "alpha_c_p1m": -0.09504026645076924, "bench_spy_p1m": 0.03169674961408164, "bench_c_p1m": 0.006620542089247117, "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, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.10166080854001636, "alpha_spy_stated": -0.06996405892593471, "alpha_c_stated": -0.09504026645076924, "price_path": [0.1275, 0.1519, 0.174, 0.1129, 0.1175, 0.1308, 0.1087, 0.1171, 0.1418, 0.1244, 0.1445, 0.1054, 0.0921, 0.0983, 0.1341, 0.1258, 0.1004, 0.0897, 0.1022, 0.1259, 0.1375, 0.1319, 0.1169, 0.0895, 0.0999, 0.0961, 0.0896, 0.0947, 0.0631, 0.0536, 0.0129, 0.0132, -0.0279, -0.0326, -0.0475, -0.0612, -0.0318, -0.0326, -0.0197, -0.0195, -0.0195, -0.0195, -0.0437, -0.0142, -0.0814, -0.0821, -0.0616, -0.0553, -0.035, -0.0013, 0.0289, -0.0109, -0.0046, -0.0134, -0.0735, -0.0301, -0.0191, -0.0196, -0.0393, -0.0418, -0.0418, -0.025, -0.0135, 0.0, 0.0138, -0.0209, -0.0325, -0.0463, -0.0875, -0.0542, -0.0352, -0.0098, 0.0496, 0.0275, 0.0106, 0.0165, 0.0346, 0.0143, 0.0046, 0.0153, 0.0398, 0.1244, 0.0907, 0.0443, 0.1017, 0.0814, 0.0588, 0.036, 0.0025, -0.0631, -0.0607, -0.0411, -0.043, -0.0545, -0.0968, -0.1017, -0.1145, -0.0991, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 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": "orig:2051859789123387812", "ticker_idx": 1, "ts": "2026-05-06T03:01:10+00:00", "symbol": "horizontal SaaS", "kind": "sector", "geography": null, "sub_sector": null, "direction": "short", "conviction": "high", "explicit": false, "explicit_audit": "kept_implicit_alias_present", "polarity_reversed": false, "quote": "This is the writing on the wall for horizontal SaaS companies", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bearish SAP and horizontal SaaS broadly: Mercedes cutting SAP usage 40% signals enterprise AI displacing seats and pressuring pricing sector-wide.", "resolved_tickers": ["WCLD", "IGV"], "resolution_method": "basket", "resolution_reason": "Horizontal SaaS proxied by WCLD and IGV software ETFs", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "original", "lang": "en", "tweet_text": "This is the writing on the wall for horizontal SaaS companies. \n\nMercedes has reduced $SAP usage by 40% and is now prioritizing their own internal AI models.\n\nThis is the first time a major player has publicly mentioned reducing their software seats.  \n\nIf automobile companies that manage complex supply chains and production lines using SAP can cut it out, other companies will follow suit soon enough (or pricing will come under pressure).", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.01876376609961483, "ret_signed_m1d": -0.01876376609961483, "alpha_spy_m1d": -0.03247262093963721, "alpha_c_m1d": -0.03247262093963721, "bench_spy_m1d": -0.013708854840022378, "bench_c_m1d": -0.013708854840022378, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.03241322577630312, "ret_signed_p1d": -0.03241322577630312, "alpha_spy_p1d": -0.035479308195373704, "alpha_c_p1d": -0.035479308195373704, "bench_spy_p1d": -0.0030660824190705815, "bench_c_p1d": -0.0030660824190705815, "ret_p1w": -0.019211840738941277, "ret_signed_p1w": 0.019211840738941277, "alpha_spy_p1w": 0.030767625110351526, "alpha_c_p1w": 0.030767625110351526, "bench_spy_p1w": 0.01155578437141025, "bench_c_p1w": 0.01155578437141025, "ret_p1m": 0.14393853810516954, "ret_signed_p1m": -0.14393853810516954, "alpha_spy_p1m": -0.1122417884910879, "alpha_c_p1m": -0.1122417884910879, "bench_spy_p1m": 0.03169674961408164, "bench_c_p1m": 0.03169674961408164, "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, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.14393853810516954, "alpha_spy_stated": -0.1122417884910879, "alpha_c_stated": -0.1122417884910879, "price_path": [-0.0474, -0.0285, -0.0181, -0.048, -0.0629, -0.0403, -0.0403, -0.0601, -0.0485, -0.052, -0.0674, -0.1235, -0.1008, -0.0756, -0.0473, -0.0629, -0.0481, -0.031, -0.0189, 0.01, 0.0163, 0.0125, -0.0136, -0.0122, -0.0262, -0.0306, -0.0268, -0.0173, -0.0263, -0.0261, -0.043, -0.025, -0.0703, -0.0722, -0.0711, -0.1082, -0.0979, -0.0708, -0.0699, -0.061, -0.061, -0.061, -0.0645, -0.0802, -0.1242, -0.1574, -0.1118, -0.112, -0.0666, -0.0513, -0.0455, -0.0279, -0.0239, -0.0063, -0.0669, -0.0448, -0.0418, -0.044, -0.0452, -0.0527, -0.0072, 0.0149, 0.0188, 0.0, 0.0324, 0.0346, 0.0185, -0.0021, -0.0192, -0.0003, 0.0185, 0.0398, 0.0376, 0.0518, 0.0393, 0.0587, 0.0587, 0.0579, 0.0399, 0.0736, 0.1498, 0.2361, 0.1988, 0.1437, 0.1439, 0.1037, 0.096, 0.0691, 0.0553, 0.0491, 0.0468, 0.0623, 0.0471, 0.021, 0.0194, 0.0194, -0.0014, 0.0055, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 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": "orig:2052728967141212640", "ticker_idx": 0, "ts": "2026-05-08T12:34:58+00:00", "symbol": "ACN", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Accenture might be a hidden AI winner. If Accenture management can deliver AI implementation growth outpacing the slowdown in traditional consulting, the rerating will be significant. The stock now trades around 13x trailing earnings (Accenture usually traded at >25x) with a dividend yield of 3.6%", "tweet_type": "analysis", "timeline": "quarters", "summary": "Bullish ACN as hidden AI implementation winner; 13x P/E vs historical 25x+ is a valuation re-rating opportunity if AI bookings growth offsets consulting slowdown.", "resolved_tickers": ["ACN"], "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": "original", "lang": "en", "tweet_text": "Accenture might be a hidden AI winner.\n\nThe fears are palpable. AI can reduce billable hours, striking directly at Accenture's core revenue model, and now it's equally capable of producing those vague strategy decks that once justified paying a 22-year-old consultant $250 an hour.\n\nBut Accenture can end up becoming the company enterprises call when they want to implement AI. The latest earnings showed $2.2 billion in advanced AI bookings, nearly doubling year-over-year.\n\nEven OpenAI has raised $4B to build “The Deployment Company” focused on deploying AI at scale across enterprises. Anthropic is set to follow suit.\n\nIf Accenture management can deliver AI implementation growth outpacing the slowdown in traditional consulting, the rerating will be significant.\n\nThe stock now trades around 13x trailing earnings (Accenture usually traded at >25x) with a dividend yield of 3.6%, levels not seen in years for a business that has historically compounded at high-single-digit revenue growth.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.0012747795691899766, "ret_signed_m1d": -0.0012747795691899766, "alpha_spy_m1d": 0.006913712457431331, "alpha_c_m1d": 0.031940819803437104, "bench_spy_m1d": -0.008188492026621308, "bench_c_m1d": -0.03321559937262708, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.044728922222208145, "ret_signed_p1d": -0.044728922222208145, "alpha_spy_p1d": -0.04700648526459561, "alpha_c_p1d": -0.058174616344852326, "bench_spy_p1d": 0.002277563042387465, "bench_c_p1d": 0.01344569412264418, "ret_p1w": -0.06429437402978089, "ret_signed_p1w": -0.06429437402978089, "alpha_spy_p1w": -0.06639573164119172, "alpha_c_p1w": -0.068510340704513, "bench_spy_p1w": 0.0021013576114108368, "bench_c_p1w": 0.004215966674732119, "ret_p1m": -0.03320034117035642, "ret_signed_p1m": -0.03320034117035642, "alpha_spy_p1m": -0.03536939352361157, "alpha_c_p1m": -0.08253937145798351, "bench_spy_p1m": 0.002169052353255152, "bench_c_p1m": 0.049339030287627095, "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, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 63, "stated_label": "p3m", "ret_signed_stated": null, "alpha_spy_stated": null, "alpha_c_stated": null, "price_path": [0.3238, 0.2664, 0.2204, 0.2324, 0.2324, 0.2085, 0.229, 0.1814, 0.1836, 0.1057, 0.0812, 0.0525, 0.1398, 0.1471, 0.1318, 0.1536, 0.1542, 0.1761, 0.1816, 0.1506, 0.1082, 0.1073, 0.0775, 0.0808, 0.0954, 0.0918, 0.0725, 0.1187, 0.0991, 0.0993, 0.0637, 0.0568, 0.0795, 0.0585, 0.0857, 0.0898, 0.083, 0.1065, 0.1065, 0.0934, 0.0844, 0.0653, 0.0311, -0.0049, 0.0639, 0.0551, 0.0753, 0.0753, 0.0955, 0.0811, 0.0776, 0.0537, -0.0119, -0.0114, -0.0191, -0.0148, -0.0009, -0.0095, -0.0033, -0.0017, -0.0078, -0.0324, -0.0013, 0.0, -0.0447, -0.059, -0.1152, -0.0911, -0.0643, -0.0159, -0.0201, -0.0067, -0.0141, -0.0065, -0.0065, -0.019, -0.0225, -0.0112, 0.0369, 0.0896, 0.0321, -0.0166, -0.0086, -0.012, -0.0332, -0.0385, -0.055, -0.0715, -0.0562, -0.0835, -0.0826, -0.1353, -0.2907, -0.2907, -0.3081, -0.2948, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 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": "orig:2053526924404855027", "ticker_idx": 0, "ts": "2026-05-10T17:25:46+00:00", "symbol": "MELI", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "MELI is a buy at the right price, but we think there's still some downside to go. The 30% drawdown has priced in some of the bad news. Not all of it. Margin recovery remains a 2027 story at the earliest. Great company. The price is still not right.", "tweet_type": "analysis", "timeline": "months", "summary": "Despite great fundamentals, MELI still has downside: 4 consecutive EPS misses, margins compressed, loan book growing unsafely fast; price not right until market capitulates.", "resolved_tickers": ["MELI"], "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": "On $MELI \n\nMost investors see a stock down 30% and think of an opportunity. With MELI, it's more complicated than that.\n\nMELI is a buy at the right price, but we think there’s still some downside to go.\n\nThis is genuinely one of the best businesses in the world. It's Amazon, PayPal, UPS, and Goldman Sachs for 650 million people, most of whom are yet to shop online. \n\nE-commerce penetration in Latin America sits at 12%. China is at ~35%. The average American makes 41 online purchases per year. The average Latin American makes just 7. The runway is generational.\n\nThe fintech flywheel is extraordinary. 83M monthly active users. $19.9B in assets under management. The Mercado Pago credit card is the most used on the platform in Brazil, accounting for 50% of transactions, which occur off-app at supermarkets and gas stations. That is a primary banking relationship for people who have never had one. There are 300 million underbanked people in Latin America. MELI is their first bank.\n\nThe ad business grew 73% YoY in Q1 2026, 4x the regional industry rate, at near-zero marginal cost, built on 27 years of first-party data no rival can replicate.\n\nQ1 2026 revenue was $8.85B, up 49% YoY, the fastest growth rate in almost four years. GMV reached $19B, up 42%. Fintech TPV hit $87.2B, up 50%. On the surface, extraordinary.\n\nBut look underneath.\n\nEPS came in at $8.23, missing consensus forecasts by roughly 7%, the fourth consecutive earnings miss. Operating income fell 20% YoY to $611M, with margins compressing to 6.9%. \n\nNet income dropped 15.6% to $417M despite revenue growing 49%. The credit book has grown to $14.6B, up 87% YoY, and no matter what anyone says, growing a loan book this fast is not prudent. \n\nPlus, the loans business has lower-quality earnings.\n\nThe pattern is consistent. Revenue accelerates. Profits disappoint. Management guides for more investment ahead.\n\nThe 30% drawdown has priced in some of the bad news. Not all of it. Margin recovery remains a 2027 story at the earliest.\n\nGreat company. The price is still not right. We’ll try and buy once the market capitulates (remember the market sold off Google to 18x earnings last year!).", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.04830152722317593, "ret_signed_m1d": -0.04830152722317593, "alpha_spy_m1d": -0.05057391475969231, "alpha_c_m1d": -0.041348447001977595, "bench_spy_m1d": -0.0022723875365163737, "bench_c_m1d": 0.006953080221198338, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.013793090474063519, "ret_signed_p1d": -0.013793090474063519, "alpha_spy_p1d": -0.01530804308865008, "alpha_c_p1d": -0.02284063785653989, "bench_spy_p1d": -0.0015149526145865622, "bench_c_p1d": -0.009047547382476373, "ret_p1w": 0.018371530504408318, "ret_signed_p1w": -0.018371530504408318, "alpha_spy_p1w": -0.01925072116561899, "alpha_c_p1w": -0.04392236480102796, "bench_spy_p1w": -0.0008791906612106715, "bench_c_p1w": -0.02555083429661964, "ret_p1m": 0.0538496004123723, "ret_signed_p1m": -0.0538496004123723, "alpha_spy_p1m": -0.056892997270031276, "alpha_c_p1m": -0.0831702194345274, "bench_spy_p1m": -0.0030433968576589754, "bench_c_p1m": -0.029320619022155103, "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, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.0538496004123723, "alpha_spy_stated": -0.056892997270031276, "alpha_c_stated": -0.0831702194345274, "price_path": [0.2959, 0.2888, 0.2767, 0.2767, 0.2685, 0.2901, 0.2821, 0.2823, 0.1972, 0.2345, 0.1351, 0.1179, 0.1286, 0.1411, 0.1006, 0.136, 0.1432, 0.1481, 0.1363, 0.1187, 0.1341, 0.0788, 0.0724, 0.1124, 0.1097, 0.0854, 0.0704, 0.0504, 0.0699, 0.0351, 0.0528, 0.0473, 0.0271, 0.0397, 0.1103, 0.1038, 0.1016, 0.1016, 0.0983, 0.1188, 0.1403, 0.1515, 0.1391, 0.1764, 0.182, 0.2022, 0.1701, 0.1917, 0.2008, 0.1906, 0.195, 0.1618, 0.1785, 0.1811, 0.1507, 0.1347, 0.1511, 0.188, 0.1645, 0.167, 0.1823, 0.2008, 0.0483, 0.0, 0.0138, 0.003, 0.0322, -0.0067, 0.0184, 0.0241, 0.0603, 0.0774, 0.0688, 0.0688, 0.0583, 0.0892, 0.0888, 0.0888, 0.1115, 0.0742, 0.0522, 0.0498, 0.0324, 0.0351, 0.0538, 0.0199, 0.0338, 0.0207, 0.0572, 0.075, 0.0479, 0.05, 0.05, 0.0206, 0.019, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 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": "orig:2054557649388331497", "ticker_idx": 0, "ts": "2026-05-13T13:41:30+00:00", "symbol": "NET", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Every single quarter, they issue new stock worth about 18% of revenue... dilutes shareholders... you don't actually have to make money - as long as there's always someone new willing to buy the stock... How long can a system go on where a 16 year old company (a leader in its space) still isn't GAAP profitable?", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bearish NET: chronic GAAP losses, -10% op margin, and ~18%-of-revenue SBC dilution make the model unsustainable.", "resolved_tickers": ["NET"], "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": "SaaS Shenanigans #1\n\nCloudflare ($NET) has been around since 2009, but it still hasn't figured out how to make a GAAP profit. Even with the best products.\n\n- They're currently running at a -10% operating margin. How do they keep the lights on?\n\n- Every single quarter, they issue new stock worth about 18% of revenue. They call it stock-based compensation, meant to align employees' interests with the company's. In effect, it dilutes shareholders. Good while the market bids up the stock. Very bad once the gravy train stops: just look at what's happened to ServiceNow.\n\nHow does this go on for so long?\n\n- Fund managers keep buying Cloudflare stock with their clients' money to fill the gap. We used to call this a 'burn rate.' Now it's just a cycle that never ends. Turns out you don't actually have to make money - as long as there's always someone new willing to buy the stock.\n\n- Every company wants to be in passive indices, so passive money is forced to buy any shares they sell to the market.\n\nAnd you wonder why SaaS is suddenly trading so poorly? How long can a system go on where a 16 year old company (a leader in its space) still isn't GAAP profitable?", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.030266856914349938, "ret_signed_m1d": 0.030266856914349938, "alpha_spy_m1d": 0.024703147153498306, "alpha_c_m1d": 0.024703147153498306, "bench_spy_m1d": -0.005563709760851632, "bench_c_m1d": -0.005563709760851632, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.03732739395529494, "ret_signed_p1d": -0.03732739395529494, "alpha_spy_p1d": -0.02943307905074044, "alpha_c_p1d": -0.02943307905074044, "bench_spy_p1d": 0.0078943149045545, "bench_c_p1d": 0.0078943149045545, "ret_p1w": 0.09090442430430001, "ret_signed_p1w": -0.09090442430430001, "alpha_spy_p1w": -0.09233236510435738, "alpha_c_p1w": -0.09233236510435738, "bench_spy_p1w": -0.0014279408000573701, "bench_c_p1w": -0.0014279408000573701, "ret_p1m": 0.18077047143021008, "ret_signed_p1m": -0.18077047143021008, "alpha_spy_p1m": -0.18689993328151278, "alpha_c_p1m": -0.18689993328151278, "bench_spy_p1m": -0.006129461851302698, "bench_c_p1m": -0.006129461851302698, "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, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.18077047143021008, "alpha_spy_stated": -0.18689993328151278, "alpha_c_stated": -0.18689993328151278, "price_path": [0.0168, 0.0168, 0.0055, -0.0061, 0.0001, -0.0804, -0.1684, -0.1496, -0.1081, -0.0932, -0.1061, -0.0602, -0.0712, -0.0349, -0.0016, 0.0133, 0.046, 0.0772, 0.1058, 0.1012, 0.1029, 0.0764, 0.0981, 0.1706, 0.1492, 0.1184, 0.1455, 0.1066, 0.1318, 0.0909, 0.054, 0.0104, 0.0712, 0.0665, 0.099, 0.099, 0.0995, 0.1229, 0.0967, 0.0022, -0.1331, -0.0446, -0.0725, -0.0129, 0.0247, 0.0435, 0.0633, 0.0781, 0.0776, 0.0643, 0.075, 0.1025, 0.0824, 0.1005, 0.0641, 0.1292, 0.1638, 0.269, 0.2906, 0.3331, 0.0182, 0.0047, -0.0303, 0.0, 0.0373, 0.0256, 0.0474, 0.0733, 0.0909, 0.104, 0.1223, 0.1223, 0.1294, 0.0862, 0.1842, 0.2554, 0.406, 0.4155, 0.3775, 0.3947, 0.2985, 0.2864, 0.2259, 0.1404, 0.1808, 0.1862, 0.2237, 0.1991, 0.1778, 0.1632, 0.1632, 0.1337, 0.1696, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 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": "orig:2054557849347404278", "ticker_idx": 0, "ts": "2026-05-13T13:42:17+00:00", "symbol": "Constellation Software", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Thesis is intact and reinforced. Strong FCF, an accelerating M&A pace that quiets the law-of-large-numbers debate, resilient organic in a tough environment for software, and a maintenance line growing organically at 4% rate signal strong customer retention and pricing power. CSU's software is not getting disrupted so easily and we expect that AI will be a tailwind.", "tweet_type": "analysis", "timeline": "quarters", "summary": "Long CSU: thesis reinforced by strong FCF, accelerating M&A, resilient organic growth, and no AI disruption signal; AI expected as a tailwind.", "resolved_tickers": ["CSU.TO"], "resolution_method": "exchange_ticker", "resolution_reason": "Constellation Software Inc. trades on TSX as CSU.TO", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='TO')", "bench_c_industry": "Software - Application", "unit_kind": "original", "lang": "en", "tweet_text": "Constellation Software (CSU): Q1 2026\n\nThe Numbers:\n- Revenue: $3.18B, +20% YoY, beat consensus by ~$40M. Pretty good!\n- Total organic growth: 6% reported, 2% ex-FX\n- Maintenance & other recurring revenue: $2.44B, +22% reported (now ~77% of total revenue)\n- Maintenance of organic growth of 4% is solid!\n- FCF available to shareholders: $733M, +44% YoY\n- M&A in Q1: $697M cash deployed ($809M with deferred consideration)\n- Already committed/closed post-quarter for Q2: $627M cash on closing, plus deferred on top\n- For context: full-year 2025 M&A was ~$1.58B in total consideration\n\nWhat it means:\nThe M&A numbers are the headline. Between Q1 deployment and what's already lined up for Q2, CSU has committed nearly as much cash to acquisitions in the first half of 2026 as it did in all of 2025. That's a meaningful step-up in pipeline activity, and it directly addresses the 'law of large numbers' concern of the bears. \nThe maintenance line is where Mark Leonard always told shareholders to look for the real health of the business. It's the most profitable, stickiest piece of CSU and the closest proxy for intrinsic value growth. Reported maintenance grew 22% in Q1, with organic growth of 4%. This is a genuinely reassuring read on customer retention and pricing power across the portfolio. No sign of AI disruption yet (it would show up in low maintenance organic growth)...\nThe next catalyst is the May 15 shareholder meeting, where Mark Miller will update the market on AI initiatives across Constellation.\n\nThesis check: Thesis is intact and reinforced. Strong FCF, an accelerating M&A pace that quiets the law-of-large-numbers debate, resilient organic in a tough environment for software, and a maintenance line growing organically at 4% rate signal strong customer retention and pricing power. \n\nCSU's software is not getting disrupted so easily and we expect that AI will be a tailwind.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.02534110223811381, "ret_signed_m1d": -0.02534110223811381, "alpha_spy_m1d": -0.01977739247726218, "alpha_c_m1d": -0.01977739247726218, "bench_spy_m1d": -0.005563709760851632, "bench_c_m1d": -0.005563709760851632, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.026593353072370096, "ret_signed_p1d": 0.026593353072370096, "alpha_spy_p1d": 0.018699038167815596, "alpha_c_p1d": 0.018699038167815596, "bench_spy_p1d": 0.0078943149045545, "bench_c_p1d": 0.0078943149045545, "ret_p1w": 0.10029054199197973, "ret_signed_p1w": 0.10029054199197973, "alpha_spy_p1w": 0.1017184827920371, "alpha_c_p1w": 0.1017184827920371, "bench_spy_p1w": -0.0014279408000573701, "bench_c_p1w": -0.0014279408000573701, "ret_p1m": 0.23933245626278854, "ret_signed_p1m": 0.23933245626278854, "alpha_spy_p1m": 0.24546191811409124, "alpha_c_p1m": 0.24546191811409124, "bench_spy_p1m": -0.006129461851302698, "bench_c_p1m": -0.006129461851302698, "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, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 63, "stated_label": "p3m", "ret_signed_stated": null, "alpha_spy_stated": null, "alpha_c_stated": null, "price_path": [-0.0455, -0.0455, -0.0854, -0.0373, -0.0217, 0.0071, -0.0251, -0.0407, -0.0038, 0.0562, 0.0209, 0.0396, 0.0908, 0.0736, 0.1329, 0.2002, 0.205, 0.1903, 0.0936, 0.0608, 0.0223, 0.0379, 0.0511, 0.0401, 0.0204, 0.0123, 0.0279, -0.0113, -0.0252, -0.0333, -0.044, -0.0327, -0.0104, -0.0093, -0.0106, -0.0106, -0.0101, -0.0361, -0.0214, -0.0437, -0.0698, -0.0106, 0.0195, 0.0665, 0.0664, 0.0644, 0.0794, 0.0541, 0.0746, 0.0136, -0.023, -0.0107, -0.0132, -0.0094, 0.0026, -0.0104, 0.0014, -0.0012, -0.0272, 0.0398, 0.0422, -0.0216, -0.0253, 0.0, 0.0266, 0.0587, 0.0587, 0.1063, 0.1003, 0.0982, 0.1029, 0.1238, 0.0878, 0.0727, 0.1154, 0.144, 0.1882, 0.1692, 0.1146, 0.1759, 0.2034, 0.2005, 0.2058, 0.274, 0.2393, 0.185, 0.1774, 0.168, 0.1676, 0.1145, 0.1242, 0.0956, 0.131, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 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": "orig:2055102315812753408", "ticker_idx": 0, "ts": "2026-05-15T01:45:48+00:00", "symbol": "DPZ", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "At approximately $313, DPZ offers a ~6.3% Free Cash Flow (FCF) yield (FCF/EV)... this is a 'quality on sale' setup... Trading at 16x forward FCF, well below its 22x historical average, this is a bet on a world-class operator navigating a macro trough.", "tweet_type": "analysis", "timeline": "years", "summary": "Long DPZ at ~$313; 6.3% FCF yield, 16x forward FCF vs 22x historical avg, wide moat via vertical integration and tech, FCF compounding 4-5% through 2030.", "resolved_tickers": ["DPZ"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Restaurants'", "bench_c_industry": "Restaurants", "unit_kind": "original", "lang": "en", "tweet_text": "Are Domino’s Pizza and other QSR companies in permanent decline?\n\nOzempic fears and a persistent consumer slowdown have created a perfect storm for Domino’s (DPZ).\n\nWith U.S. same-store sales slowing to 0.9% (low to mid-income consumers suffering) and GLP-1 adoption hitting ~12% of U.S. adults, the market has hammered the stock.\n\nThe math is starting to look interesting.\n\nAt approximately $313, DPZ offers a ~6.3% Free Cash Flow (FCF) yield (FCF/EV). While headlines focus on shrinking obesity rates and weary consumer confidence, you are buying a value-oriented restaurant (consumers will downtrade in a weak environment) that can compound its FCF at ~4%-5% annually through 2030.\n\nThis is a ‘quality on sale’ setup. Domino’s has a wide moat that is difficult to replicate:\n\n- Vertical Integration: 25 supply chain centers drive a cost advantage that fuels a 25-30% franchisee ROIC, while rivals struggle at 8-12%.\n- Efficiency Tech: With 1,600+ proprietary DJ dough-stretching machines and the Dom.OS operating system, they remain lean as labor costs rise.\n- Proven Track Record: Boasting 11 straight years of U.S. share gains and 32 consecutive years of international same-store sales growth.\n\nTrading at 16x forward FCF, well below its 22x historical average, this is a bet on a world-class operator navigating a macro trough.\n\nStructural Risks\n\nThe GLP-1 threat is real and will be a headwind to future growth. The management has said they will address the GLP-1 threat by adjusting portion sizes and the types of pizzas offered (a possible focus on protein-rich pizzas?). Younger generations may not prefer unhealthy food (they drink less, too), and the US consumer has been weak. None of these factors is going away in a hurry.\n\nThe deep dive below is open to non-subscribers as well.\n\nhttps://t.co/JwBn0KtrJP", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.0056898325149132845, "ret_signed_m1d": 0.0056898325149132845, "alpha_spy_m1d": -0.006485978255153846, "alpha_c_m1d": -0.01267452016258197, "bench_spy_m1d": 0.01217581077006713, "bench_c_m1d": 0.018364352677495255, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.01888907782537763, "ret_signed_p1d": 0.01888907782537763, "alpha_spy_p1d": 0.019592587143109408, "alpha_c_p1d": 0.020691163902376575, "bench_spy_p1d": -0.0007035093177317764, "bench_c_p1d": -0.0018020860769989433, "ret_p1w": 0.047073932473286284, "ret_signed_p1w": 0.047073932473286284, "alpha_spy_p1w": 0.0383208791451608, "alpha_c_p1w": 0.02433301006368671, "bench_spy_p1w": 0.008753053328125482, "bench_c_p1w": 0.022740922409599573, "ret_p1m": 0.05354714036498054, "ret_signed_p1m": 0.05354714036498054, "alpha_spy_p1m": 0.032361227969358364, "alpha_c_p1m": 0.03604092703853112, "bench_spy_p1m": 0.021185912395622175, "bench_c_p1m": 0.017506213326449416, "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, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 252, "stated_label": "p1y", "ret_signed_stated": null, "alpha_spy_stated": null, "alpha_c_stated": null, "price_path": [0.2294, 0.2606, 0.2676, 0.2659, 0.3178, 0.3633, 0.3296, 0.3142, 0.3248, 0.3211, 0.3442, 0.3384, 0.3255, 0.3443, 0.3685, 0.3183, 0.2945, 0.3034, 0.3286, 0.2977, 0.3106, 0.2469, 0.2415, 0.2351, 0.2134, 0.1912, 0.1993, 0.1861, 0.1517, 0.1676, 0.1869, 0.196, 0.2267, 0.2267, 0.2596, 0.2179, 0.2446, 0.2349, 0.2106, 0.2201, 0.2212, 0.2176, 0.2207, 0.2308, 0.2222, 0.2213, 0.2105, 0.2319, 0.2168, 0.1092, 0.1263, 0.0993, 0.1228, 0.1174, 0.0931, 0.0974, 0.074, 0.1, 0.0701, 0.0362, 0.026, 0.0205, 0.0057, 0.0, 0.0189, 0.0346, 0.0453, 0.0469, 0.0471, 0.0471, 0.0269, 0.0312, 0.0267, 0.0274, 0.0378, 0.0173, 0.0148, 0.0173, 0.0387, 0.0372, 0.0509, 0.0413, 0.033, 0.0714, 0.0535, 0.0668, 0.0464, 0.0401, 0.0401, -0.0177, -0.0519, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 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": "orig:2055560798530126189", "ticker_idx": 0, "ts": "2026-05-16T08:07:39+00:00", "symbol": "SaaS", "kind": "sector", "geography": "US", "sub_sector": null, "direction": "short", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Don't think the weakness in SaaS stocks will resolve in a hurry here", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bearish SaaS sector: contract renegotiations, margin pressure, revenue model shift, and rising AI-native competition will keep weakness persistent.", "resolved_tickers": ["WCLD"], "resolution_method": "etf", "resolution_reason": "WCLD (WisdomTree Cloud Computing ETF) best US SaaS proxy ETF", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "original", "lang": "en", "tweet_text": "Don't think the weakness in SaaS stocks will resolve in a hurry here. Key headwinds are:\n\n- Contracts will be renegotiated with margins under pressure. The revenue model will also change from seat-based to seat plus consumption based.\n\n- Competition from AI native companies will only increase going ahead.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.029433707604422432, "ret_signed_m1d": 0.029433707604422432, "alpha_spy_m1d": 0.030137712195944077, "alpha_c_m1d": 0.030137712195944077, "bench_spy_m1d": 0.0007040045915216453, "bench_c_m1d": 0.0007040045915216453, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0061037743836156455, "ret_signed_p1d": -0.0061037743836156455, "alpha_spy_p1d": -0.01276456247110902, "alpha_c_p1d": -0.01276456247110902, "bench_spy_p1d": -0.0066607880874933745, "bench_c_p1d": -0.0066607880874933745, "ret_p1w": 0.024415032856651475, "ret_signed_p1w": -0.024415032856651475, "alpha_spy_p1w": -0.01495181274727142, "alpha_c_p1w": -0.01495181274727142, "bench_spy_p1w": 0.009463220109380055, "bench_c_p1w": 0.009463220109380055, "ret_p1m": 0.030857913003558002, "ret_signed_p1m": -0.030857913003558002, "alpha_spy_p1m": -0.01504523091340837, "alpha_c_p1m": -0.01504523091340837, "bench_spy_p1m": 0.015812682090149632, "bench_c_p1m": 0.015812682090149632, "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, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.030857913003558002, "alpha_spy_stated": -0.01504523091340837, "alpha_c_stated": -0.01504523091340837, "price_path": [-0.0515, -0.056, -0.0749, -0.1421, -0.1139, -0.0919, -0.056, -0.0749, -0.0593, -0.041, -0.0342, 0.0003, 0.0086, 0.0041, -0.0239, -0.0222, -0.0414, -0.041, -0.042, -0.0299, -0.0342, -0.0353, -0.0519, -0.0329, -0.081, -0.0802, -0.0708, -0.1116, -0.0995, -0.0736, -0.0687, -0.0576, -0.0576, -0.0589, -0.0662, -0.0885, -0.14, -0.1831, -0.1387, -0.1478, -0.098, -0.0834, -0.08, -0.0592, -0.0556, -0.0441, -0.1051, -0.08, -0.0766, -0.0763, -0.0729, -0.081, -0.0224, 0.0007, 0.0102, -0.0215, 0.0081, 0.0092, -0.0173, -0.0437, -0.0678, -0.0536, -0.0294, 0.0, 0.0061, 0.0187, 0.0034, 0.0244, 0.0244, 0.0224, -0.0017, 0.0349, 0.1173, 0.2191, 0.179, 0.1217, 0.1238, 0.0919, 0.0792, 0.0566, 0.0448, 0.04, 0.038, 0.0461, 0.0309, 0.0044, 0.002, 0.002, -0.0187, -0.0064, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 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": "orig:2056757510154125575", "ticker_idx": 0, "ts": "2026-05-19T15:22:57+00:00", "symbol": "MSFT", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "We remain bullish", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Long MSFT: full-stack enterprise AI moat (silicon, cloud, dev tools, apps) compounds; capex/disruption fears will fade.", "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": "No matter who ends up having the best model, Microsoft is going to win enterprise AI.\n\nWhile the market debates which AI model wins, Microsoft is positioning itself to serve every stage of an enterprise’s AI implementation: hardware, the cloud, developer tools, and software. No competitor can serve all 4.\n\nSilicon: Microsoft is now on the 2nd/3rd generation of designing its own chips. Cobalt CPUs and Maia AI accelerators run inside Azure alongside Nvidia GPUs. Owning the silicon means controlling cost and supply. Still behind Google and Amazon, but they can solve this.\n\nCloud infrastructure: Azure is the compute backbone. Azure grew 40% last quarter (at ~$100B revenue) and is supply-constrained into 2027.\n\nDeveloper platforms: Azure AI Foundry exposes 11,000+ models through a single interface, with a Model Router that selects the right model for each task. Microsoft monetizes regardless of which model wins. This is where enterprises can develop their own agents.\n\nApplications: M365 Copilot is available in Outlook, Teams, Word, and Excel. Copilot now has 20 million paid seats against a 450 million M365 base. At 4.4% penetration, the runway is huge.\n\nWhy this locks enterprises: Big companies already pay Microsoft for who logs in (Entra), where work actually happens (M365), and how it stays safe (Defender, Security Copilot). They trust Microsoft with their compliance and governance (Azure has the highest certifications for regulated industries).\n\nAdding AI agents to Azure means the same login, the same bill, the same security rules, and the same trust. Security Copilot logos doubled this year because the customer was already inside the ecosystem (MSFT’s security business is the world’s largest).\n\nWhy can no one else copy this?\n- Amazon has chips and cloud. No Office. No enterprise identity layer.\n- Google has chips, cloud, and Workspace, but Workspace is a fraction of M365’s size and weaker in regulated industries.\n- Anthropic and OpenAI sell models. They rent every other layer from the hyperscalers (Google, MSFT, Amazon). The hyperscalers will start squeezing their margins soon. Also, will any company want to hand over their data and processes to AI labs? The same labs that may create agents to end their own customers’ business model?\n\nThe moat is compounding: Copilot will embed itself in your emails, docs, meetings, and workflows. Organizational memory compounds monthly. Agents will be built on top of this memory graph. The better context an agent has, the more efficient it will be.\n\nOur Take: Microsoft’s drawdown is due to capex fears and the notion that its software will lose to AI labs. Sounds a little like the ‘Google will be disrupted’ and the ‘no one uses search anymore‘ thesis about Google last year. These headwinds will fade. We remain bullish.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.014661509747108337, "ret_signed_m1d": 0.014661509747108337, "alpha_spy_m1d": 0.00795605806694244, "alpha_c_m1d": 0.00795605806694244, "bench_spy_m1d": 0.006705451680165897, "bench_c_m1d": 0.006705451680165897, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.008720179231968883, "ret_signed_p1d": 0.008720179231968883, "alpha_spy_p1d": -0.00152881535059457, "alpha_c_p1d": -0.00152881535059457, "bench_spy_p1d": 0.010248994582563453, "bench_c_p1d": 0.010248994582563453, "ret_p1w": -0.0011713411141390795, "ret_signed_p1w": -0.0011713411141390795, "alpha_spy_p1w": -0.024149868690290455, "alpha_c_p1w": -0.024149868690290455, "bench_spy_p1w": 0.022978527576151375, "bench_c_p1w": 0.022978527576151375, "ret_p1m": -0.09029115230453144, "ret_signed_p1m": -0.09029115230453144, "alpha_spy_p1m": -0.10014491871475706, "alpha_c_p1m": -0.10014491871475706, "bench_spy_p1m": 0.009853766410225617, "bench_c_p1m": 0.009853766410225617, "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, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": -0.09029115230453144, "alpha_spy_stated": -0.10014491871475706, "alpha_c_stated": -0.10014491871475706, "price_path": [-0.0454, -0.0484, -0.0789, -0.0681, -0.0403, -0.0376, -0.0591, -0.0452, -0.0323, -0.0293, -0.0161, -0.0203, -0.0192, -0.0279, -0.03, -0.0373, -0.0524, -0.0419, -0.0431, -0.0614, -0.068, -0.0852, -0.0825, -0.107, -0.1111, -0.1233, -0.1453, -0.1401, -0.1132, -0.1151, -0.1053, -0.1053, -0.1067, -0.1081, -0.1032, -0.1062, -0.1115, -0.0792, -0.0582, -0.0149, 0.0068, 0.0129, 0.0016, 0.0161, 0.0371, -0.004, 0.0172, 0.0177, 0.0283, 0.0169, -0.0231, -0.0071, -0.0091, -0.0145, -0.0083, 0.008, -0.0055, -0.0114, -0.0231, -0.0293, -0.0191, 0.0108, 0.0147, 0.0, 0.0087, 0.0062, 0.0049, 0.0049, -0.0012, -0.0092, 0.0251, 0.081, 0.1056, 0.0595, 0.026, 0.0277, 0.0004, -0.0115, -0.0315, -0.046, -0.0628, -0.0619, -0.0402, -0.0545, -0.0903, -0.0891, -0.0891, -0.1181, -0.1026, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 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": "orig:2059602499829657635", "ticker_idx": 0, "ts": "2026-05-27T11:47:56+00:00", "symbol": "SPGI", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "We value SPGI at $563 per share, a ~27% discount to today's price for an incredibly resilient business", "tweet_type": "analysis", "timeline": "quarters", "summary": "Long SPGI to $563 (~27% upside) on AI-beneficiary thesis, Mobility spinoff catalyst, and valuation gap vs Moody's; also long MCO on same quality re-rating.", "resolved_tickers": ["SPGI"], "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": "original", "lang": "en", "tweet_text": "Wall Street needs to play the short-term performance game and is therefore dumping quality stocks. But you don't have to.\n\nThe market has absolute tunnel vision right now. If a company doesn't design AI chips, Wall Street is dumping its stock to chase tech FOMO. Companies with deep, long-lasting competitive advantages are trading at multi-year lows, even when they face minimal threat from AI disruption.\n\nThis extreme fixation is causing a widespread sell-off of elite businesses, creating an attractive setup for quality-focused, long-term investors.\n\nLook no further than S&P Global (NYSE: SPGI)\n\nSPGI operates at the absolute center of global finance. It shares a government-regulated credit-ratings duopoly with Moody's, together controlling ~80% of the market. On top of that, over $20 trillion in assets is benchmarked to S&P indices. Giants like BlackRock and Vanguard cannot easily switch benchmarks without triggering investor redemptions and violating their own fund prospectuses — creating an environment where customers literally cannot leave. This dynamic powers a 50.4% adjusted operating margin and $5.5 billion in annual free cash flow (~4.5% FCF yield at current prices).\n\nYet SPGI is down ~27% from its all-time high amid unjustified fears of AI disruption. We think S&P is actually an AI beneficiary:\n\nAI models require massive amounts of accurate, verified financial data to train and run effectively. S&P owns 136 years of proprietary, irreplaceable data — exactly what these models need.\n\nSPGI's Index and Ratings businesses will only strengthen with AI features layered on top. Indices carry powerful network effects, and a government-granted NRSRO license insulates the ratings business from new entrants entirely.\n\nThe Valuation Disconnect\n\nThe market's blind spot has created a significant valuation gap. SPGI's multiple is temporarily dragged down by its cyclical Automotive Mobility unit (CARFAX), causing it to trade at a steep discount to peers like Moody's despite running a structurally superior, higher-margin core business.\n\nAnd here's the cherry on top: Moody's itself has sold off due to the same short-termism plaguing the broader market, meaning we're not even paying a full price to close the gap. When the market rotates back to quality, both re-rate. SPGI gets a double tailwind.\n\nS&P has already filed confidentially to spin off the Mobility division. When the official public filing drops in Q2 2026, the market will be forced to revalue S&P's core business on a standalone basis, closing the valuation gap with a peer that is itself undervalued.\n\nWe value SPGI at $563 per share, a ~27% discount to today's price for an incredibly resilient business.\n\nWhile the crowd chases semiconductor momentum at sky-high multiples, we're buying a financial tollbooth that prints cash.\n\nSubscribers get full access to SPGI's deep dive - and 24 others just like it.\n\nhttps://t.co/5oMUHDTYJB", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.00798460005126056, "ret_signed_m1d": -0.00798460005126056, "alpha_spy_m1d": -0.00815787223405462, "alpha_c_m1d": -0.016347072525446316, "bench_spy_m1d": 0.00017327218279405976, "bench_c_m1d": 0.008362472474185756, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.004521421301035833, "ret_signed_p1d": 0.004521421301035833, "alpha_spy_p1d": -0.0009951572998740943, "alpha_c_p1d": 0.007438549011210438, "bench_spy_p1d": 0.005516578600909927, "bench_c_p1d": -0.002917127710174605, "ret_p1w": -0.00613339285288661, "ret_signed_p1w": -0.00613339285288661, "alpha_spy_p1w": -0.01117027251197178, "alpha_c_p1w": 0.004562841346966606, "bench_spy_p1w": 0.0050368796590851694, "bench_c_p1w": -0.010696234199853216, "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, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 63, "stated_label": "p3m", "ret_signed_stated": null, "alpha_spy_stated": null, "alpha_c_stated": null, "price_path": [0.0627, 0.0656, 0.0678, 0.0714, 0.0849, 0.0879, 0.0709, 0.0472, 0.0316, 0.0094, 0.0161, 0.026, 0.0412, 0.0261, 0.0249, 0.0208, 0.0314, -0.0111, -0.0176, -0.0081, -0.023, 0.0043, 0.0229, 0.0225, 0.0369, 0.0369, 0.044, 0.0343, 0.0509, 0.0205, -0.0009, 0.0343, 0.0227, 0.0355, 0.0505, 0.0644, 0.0648, 0.0694, 0.08, 0.0559, 0.0505, 0.0515, 0.0425, 0.0418, 0.0371, 0.0247, 0.0215, 0.0194, 0.0187, 0.031, 0.0104, 0.0125, 0.0201, -0.0222, -0.0286, -0.0304, 0.0039, -0.013, 0.0029, -0.0002, 0.0043, 0.0043, -0.008, 0.0, 0.0045, 0.0221, 0.0331, 0.0063, -0.0061, 0.0127, 0.0232, 0.0054, 0.0241, 0.0278, -0.0036, 0.0098, 0.0223, 0.0444, 0.0077, -0.0094, -0.0094, -0.0179, -0.0337, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 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": "orig:2059602499829657635", "ticker_idx": 1, "ts": "2026-05-27T11:47:56+00:00", "symbol": "MCO", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": false, "explicit_audit": "kept_implicit_alias_present", "polarity_reversed": false, "quote": "Moody's itself has sold off due to the same short-termism plaguing the broader market, meaning we're not even paying a full price to close the gap. When the market rotates back to quality, both re-rate", "tweet_type": "analysis", "timeline": "quarters", "summary": "Long SPGI to $563 (~27% upside) on AI-beneficiary thesis, Mobility spinoff catalyst, and valuation gap vs Moody's; also long MCO on same quality re-rating.", "resolved_tickers": ["MCO"], "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": "original", "lang": "en", "tweet_text": "Wall Street needs to play the short-term performance game and is therefore dumping quality stocks. But you don't have to.\n\nThe market has absolute tunnel vision right now. If a company doesn't design AI chips, Wall Street is dumping its stock to chase tech FOMO. Companies with deep, long-lasting competitive advantages are trading at multi-year lows, even when they face minimal threat from AI disruption.\n\nThis extreme fixation is causing a widespread sell-off of elite businesses, creating an attractive setup for quality-focused, long-term investors.\n\nLook no further than S&P Global (NYSE: SPGI)\n\nSPGI operates at the absolute center of global finance. It shares a government-regulated credit-ratings duopoly with Moody's, together controlling ~80% of the market. On top of that, over $20 trillion in assets is benchmarked to S&P indices. Giants like BlackRock and Vanguard cannot easily switch benchmarks without triggering investor redemptions and violating their own fund prospectuses — creating an environment where customers literally cannot leave. This dynamic powers a 50.4% adjusted operating margin and $5.5 billion in annual free cash flow (~4.5% FCF yield at current prices).\n\nYet SPGI is down ~27% from its all-time high amid unjustified fears of AI disruption. We think S&P is actually an AI beneficiary:\n\nAI models require massive amounts of accurate, verified financial data to train and run effectively. S&P owns 136 years of proprietary, irreplaceable data — exactly what these models need.\n\nSPGI's Index and Ratings businesses will only strengthen with AI features layered on top. Indices carry powerful network effects, and a government-granted NRSRO license insulates the ratings business from new entrants entirely.\n\nThe Valuation Disconnect\n\nThe market's blind spot has created a significant valuation gap. SPGI's multiple is temporarily dragged down by its cyclical Automotive Mobility unit (CARFAX), causing it to trade at a steep discount to peers like Moody's despite running a structurally superior, higher-margin core business.\n\nAnd here's the cherry on top: Moody's itself has sold off due to the same short-termism plaguing the broader market, meaning we're not even paying a full price to close the gap. When the market rotates back to quality, both re-rate. SPGI gets a double tailwind.\n\nS&P has already filed confidentially to spin off the Mobility division. When the official public filing drops in Q2 2026, the market will be forced to revalue S&P's core business on a standalone basis, closing the valuation gap with a peer that is itself undervalued.\n\nWe value SPGI at $563 per share, a ~27% discount to today's price for an incredibly resilient business.\n\nWhile the crowd chases semiconductor momentum at sky-high multiples, we're buying a financial tollbooth that prints cash.\n\nSubscribers get full access to SPGI's deep dive - and 24 others just like it.\n\nhttps://t.co/5oMUHDTYJB", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.0010186718433101705, "ret_signed_m1d": -0.0010186718433101705, "alpha_spy_m1d": -0.0011919440261042302, "alpha_c_m1d": -0.009381144317495926, "bench_spy_m1d": 0.00017327218279405976, "bench_c_m1d": 0.008362472474185756, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.0024581126706612055, "ret_signed_p1d": -0.0024581126706612055, "alpha_spy_p1d": -0.007974691271571133, "alpha_c_p1d": 0.0004590150395133996, "bench_spy_p1d": 0.005516578600909927, "bench_c_p1d": -0.002917127710174605, "ret_p1w": -0.007020070261526956, "ret_signed_p1w": -0.007020070261526956, "alpha_spy_p1w": -0.012056949920612126, "alpha_c_p1w": 0.00367616393832626, "bench_spy_p1w": 0.0050368796590851694, "bench_c_p1w": -0.010696234199853216, "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, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 63, "stated_label": "p3m", "ret_signed_stated": null, "alpha_spy_stated": null, "alpha_c_stated": null, "price_path": [0.0529, 0.0297, 0.0258, 0.0406, 0.0385, 0.0427, 0.0222, -0.0009, -0.0148, -0.0578, -0.05, -0.0441, -0.0256, -0.0309, -0.0372, -0.0387, -0.0256, -0.0534, -0.0543, -0.045, -0.0614, -0.0455, -0.0362, -0.0306, -0.0262, -0.0262, -0.0189, -0.0323, -0.0111, -0.0319, -0.0557, -0.0288, -0.0322, -0.0129, -0.0093, 0.006, 0.0161, 0.0154, 0.0311, -0.0006, 0.0075, 0.0179, 0.0118, 0.0165, 0.0204, 0.0069, -0.0068, 0.0042, -0.0088, 0.0099, -0.0029, -0.0094, -0.002, -0.0316, -0.0441, -0.0502, -0.018, -0.0378, -0.0161, -0.0137, -0.0054, -0.0054, -0.001, 0.0, -0.0025, 0.0037, 0.028, 0.0045, -0.007, -0.0053, -0.0005, -0.0173, -0.0036, -0.0019, -0.0216, -0.0082, 0.0055, 0.0373, 0.0103, -0.002, -0.002, -0.0094, -0.0154, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 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": "orig:2060009677094891899", "ticker_idx": 0, "ts": "2026-05-28T14:45:54+00:00", "symbol": "V", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Visa now trades around 25x forward earnings, well below its 10-year average of ~33x and near the cheapest it's been in years. The moat will expand, not shrink, in an AI world. While the market obsesses over AI, Visa just keeps compounding. You get paid to wait, and you get the re-rating for free when the crowd remembers that earnings still matter.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Long V: trading at ~25x vs 10-yr avg ~33x, deepening moat in AI world, re-rating catalyst when AI froth cools and capital rotates back into quality.", "resolved_tickers": ["V"], "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": "original", "lang": "en", "tweet_text": "Wall Street is selling quality to fund the AI trade.\n\nCapital is being vacuumed out of the best businesses on earth and poured into anything AI and anything ‘bottleneck’.\n\nBut momentum trades reverse. When the AI froth cools, that capital has to go somewhere, and it floods back into quality. Real earnings, real moats, real pricing power.\n\nNames like Visa (NYSE: V).\n\nVisa is a toll booth on the global economy. It sits in a duopoly with Mastercard, taking a few cents on trillions in payment volume across 200+ countries, at a ~60% operating margin, among the highest of any large-cap in the world. In FY2025, it did $40B in revenue (+11%), earned over $20B, and returned $22.8B to shareholders in a single year.\n\nVisa now trades around 25x forward earnings, well below its 10-year average of ~33x and near the cheapest it's been in years. The AI fear (stablecoins, agentic commerce) is backwards. Visa is building the rails for both. The moat will expand, not shrink, in an AI world.\n\nYes, there's the regulatory overhang. The interchange litigation is decades old and largely reserved for, and the DOJ's debit case is a known risk that's been weighing on the stock since 2024. The market has had years to digest the antitrust narrative, and it's a big part of why a business this good trades this cheap.\n\nThe best time to buy a great business is when nobody's talking about it.\n\nWhile the market obsesses over AI, Visa just keeps compounding. You get paid to wait, and you get the re-rating for free when the crowd remembers that earnings still matter.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.008185791797528985, "ret_signed_m1d": 0.008185791797528985, "alpha_spy_m1d": 0.013672104721962008, "alpha_c_m1d": 0.005260129556961868, "bench_spy_m1d": -0.005486312924433023, "bench_c_m1d": 0.0029256622405671173, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.004339046288857951, "ret_signed_p1d": 0.004339046288857951, "alpha_spy_p1d": 0.0018476414854087242, "alpha_c_p1d": -0.001707377095772733, "bench_spy_p1d": 0.0024914048034492264, "bench_c_p1d": 0.006046423384630684, "ret_p1w": -0.014679240966487317, "ret_signed_p1w": -0.014679240966487317, "alpha_spy_p1w": -0.017979056878408617, "alpha_c_p1w": -0.03262341221688314, "bench_spy_p1w": 0.0032998159119213, "bench_c_p1w": 0.017944171250395824, "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, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": null, "alpha_spy_stated": null, "alpha_c_stated": null, "price_path": [-0.0157, -0.0147, -0.0158, -0.0179, -0.0254, -0.0296, -0.0344, -0.0512, -0.0587, -0.0568, -0.0476, -0.0527, -0.0817, -0.0796, -0.0737, -0.0651, -0.0671, -0.0636, -0.0617, -0.0924, -0.0801, -0.0718, -0.0833, -0.0762, -0.0762, -0.0685, -0.0709, -0.0512, -0.0532, -0.0653, -0.0499, -0.0438, -0.0298, -0.0323, -0.0264, -0.0359, -0.0482, -0.044, -0.0514, -0.0498, -0.0491, -0.0501, 0.0284, 0.0129, 0.0074, 0.0038, -0.011, -0.021, -0.0133, -0.021, -0.0054, 0.0045, -0.0143, -0.0075, 0.0025, 0.0237, 0.0153, 0.0178, 0.019, 0.0121, 0.0121, 0.0047, 0.0082, 0.0, 0.0043, -0.0067, -0.0235, -0.0386, -0.0147, -0.0042, -0.0162, 0.0003, -0.0061, -0.0182, -0.0079, -0.0035, 0.0251, 0.0167, 0.007, 0.007, 0.0051, 0.0112, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 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": "orig:2060351630546244019", "ticker_idx": 0, "ts": "2026-05-29T13:24:42+00:00", "symbol": "MSFT", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "We think it is one of the most embedded AI franchises on the planet. Their distribution is unrivaled and will be a key moat.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Long MSFT at ~$427 (~25x earnings); full-stack enterprise AI moat, strong financials, market mispricing it for 'not being AI enough'.", "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": "Part 3: Wall Street is selling quality to fund the AI trade.\n\nMicrosoft: Here's the irony - The market is dumping one of the core enablers of enterprise AI to chase semis exposure (momentum).\n\nMicrosoft (NASDAQ: MSFT) is down ~21% from its October 2025 high. The story is that AI capex is too high, ROI is uncertain, and OpenAI exposure is too concentrated. Every one of those concerns is real, but misses the bigger picture.\n\nMicrosoft is the only company that covers every layer of the enterprise AI stack at scale:\n\n- Custom silicon\n- Hyperscale cloud (Azure growing ~40% YoY at a ~$100B run rate)\n- Developer tools through GitHub\n- Foundation model access through OpenAI and others\n- Productivity software like Copilot\n- Identity and governance through Entra\n- And now Agent 365, the control plane to manage AI agents as digital employees\n\nNo competitor covers all of it:\n\n- Anthropic and OpenAI build great models, but they don't own enterprise distribution.\n- Amazon and Google compete in pieces, but neither has Microsoft's grip on the productivity layer where work actually happens. Microsoft owns the relationship, the data, and the trust.\n\nThe numbers are strong. Q3 FY26 revenue grew 15% in constant currency to $82.9B, operating margin held at 46.3%, and the RPO backlog sits at $625B. Copilot has crossed 20M seats with engagement comparable to Outlook. The E7 Frontier Suite, launched May 1, is the first new top-tier enterprise SKU since 2015, and bundles agentic AI as a foundational component rather than an add-on. This is what AI monetization actually looks like.\n\nAt ~$427, Microsoft trades at ~25x earnings. This is not demanding.\n\nThe market is selling Microsoft for not being AI enough. We think it is one of the most embedded AI franchises on the planet. Their distribution is unrivaled and will be a key moat.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.05163912691961703, "ret_signed_m1d": -0.05163912691961703, "alpha_spy_m1d": -0.0491539137881013, "alpha_c_m1d": -0.0491539137881013, "bench_spy_m1d": -0.002485213131515729, "bench_c_m1d": -0.002485213131515729, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.022832265019252507, "ret_signed_p1d": 0.022832265019252507, "alpha_spy_p1d": 0.020109151558348692, "alpha_c_p1d": 0.020109151558348692, "bench_spy_p1d": 0.0027231134609038143, "bench_c_p1d": 0.0027231134609038143, "ret_p1w": -0.07456018464545, "ret_signed_p1w": -0.07456018464545, "alpha_spy_p1w": -0.04953640270160775, "alpha_c_p1w": -0.04953640270160775, "bench_spy_p1w": -0.02502378194384225, "bench_c_p1w": -0.02502378194384225, "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, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": null, "alpha_spy_stated": null, "alpha_c_stated": null, "price_path": [-0.1048, -0.102, -0.0898, -0.0936, -0.0927, -0.1007, -0.1027, -0.1094, -0.1234, -0.1136, -0.1148, -0.1317, -0.1378, -0.1537, -0.1512, -0.1739, -0.1777, -0.1889, -0.2093, -0.2045, -0.1796, -0.1814, -0.1723, -0.1723, -0.1736, -0.1749, -0.1704, -0.1732, -0.1781, -0.1481, -0.1288, -0.0886, -0.0686, -0.063, -0.0735, -0.06, -0.0405, -0.0786, -0.0589, -0.0585, -0.0487, -0.0593, -0.0963, -0.0815, -0.0833, -0.0883, -0.0826, -0.0675, -0.08, -0.0854, -0.0963, -0.102, -0.0926, -0.0649, -0.0613, -0.0749, -0.0668, -0.0692, -0.0703, -0.0703, -0.076, -0.0834, -0.0516, 0.0, 0.0228, -0.0198, -0.0509, -0.0493, -0.0746, -0.0855, -0.104, -0.1174, -0.133, -0.1322, -0.1121, -0.1253, -0.1584, -0.1573, -0.1573, -0.1841, -0.1698, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 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": "orig:2061782801201148005", "ticker_idx": 0, "ts": "2026-06-02T12:11:40+00:00", "symbol": "NVDA", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "This is super bullish for Nvidia, AMD, and all Semiconductors. Google just aggressively confirmed that the spend is going up materially.", "tweet_type": "analysis", "timeline": "months", "summary": "Google's $80B equity raise signals massive capex surge; super bullish for Nvidia, AMD, all semis, and MSFT/AMZN forced to match AI spend.", "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": "original", "lang": "en", "tweet_text": "Google raised $80 billion yesterday. All of it in equity, and no debt.\n\nFor a company that made about $164.7 billion in operating cash flow last year, that is strange. Why not raise debt? Here’s how I am thinking about it and the implications:\n\n- Capex will be up significantly next year: Maybe $250B? Google has already raised more than $85 billion in debt this past year and can borrow easily. Equity is its priciest option, so you only reach for it when $80 billion is not the overall number. You raise equity to keep the balance sheet strong so you can borrow far more later. If $80 billion were all they needed, they would have just borrowed it. Capex will be up significantly based on this. MSFT and AMZN will have to match this growth. The AI arms race is on!\n\n- Potential Model or Compute Requirement Breakthrough: Management is smart, so spending past your own cash flow means they see something big coming, either a model breakthrough or a huge jump in compute demand. Cloud backlog is over $460 billion and has nearly doubled in one quarter. They flatly say demand is way more than the compute they can supply. Compute is scarce, and whoever serves it wins.\n\n- Derisking before major IPOs: They moved before OpenAI, Anthropic, and SpaceX line up for the same cash. Grab the money while the window is open, in case conditions tighten and markets close.\n\nImplications: This is super bullish for Nvidia, AMD, and all Semiconductors. Google just aggressively confirmed that the spend is going up materially.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.006911411782418497, "ret_signed_m1d": 0.006911411782418497, "alpha_spy_m1d": 0.008267510079847717, "alpha_c_m1d": 0.04550621978297531, "bench_spy_m1d": -0.0013560982974292202, "bench_c_m1d": -0.03859480800055681, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.03621758578863232, "ret_signed_p1d": -0.03621758578863232, "alpha_spy_p1d": -0.029200403468132463, "alpha_c_p1d": -0.04521776333034866, "bench_spy_p1d": -0.00701718232049986, "bench_c_p1d": 0.009000177541716337, "ret_p1w": -0.06456940248182264, "ret_signed_p1w": -0.06456940248182264, "alpha_spy_p1w": -0.034921015657139676, "alpha_c_p1w": 0.0005988339825040434, "bench_spy_p1w": -0.02964838682468296, "bench_c_p1w": -0.06516823646432668, "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, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": null, "alpha_spy_stated": null, "alpha_c_stated": null, "price_path": [-0.1772, -0.202, -0.1803, -0.1708, -0.1651, -0.1781, -0.1911, -0.1777, -0.1835, -0.1904, -0.1986, -0.2249, -0.2117, -0.2137, -0.1981, -0.2315, -0.2482, -0.2587, -0.2173, -0.2112, -0.2039, -0.2039, -0.2028, -0.2007, -0.1828, -0.1746, -0.1534, -0.1504, -0.1181, -0.1075, -0.1098, -0.0949, -0.0932, -0.103, -0.0912, -0.104, -0.0653, -0.0279, -0.0433, -0.0609, -0.1043, -0.1094, -0.1092, -0.1181, -0.0673, -0.0508, -0.0342, -0.0152, -0.0092, 0.0135, 0.058, 0.0112, -0.0022, -0.0099, 0.0029, -0.0149, -0.0336, -0.0336, -0.0357, -0.0459, -0.0385, -0.0524, 0.0069, 0.0, -0.0362, -0.0175, -0.0785, -0.0625, -0.0646, -0.0995, -0.0795, -0.078, -0.0454, -0.0681, -0.0805, -0.0533, -0.0533, -0.0625, -0.0971, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 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": "orig:2061782801201148005", "ticker_idx": 1, "ts": "2026-06-02T12:11:40+00:00", "symbol": "AMD", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "This is super bullish for Nvidia, AMD, and all Semiconductors. Google just aggressively confirmed that the spend is going up materially.", "tweet_type": "analysis", "timeline": "months", "summary": "Google's $80B equity raise signals massive capex surge; super bullish for Nvidia, AMD, all semis, and MSFT/AMZN forced to match AI spend.", "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": "original", "lang": "en", "tweet_text": "Google raised $80 billion yesterday. All of it in equity, and no debt.\n\nFor a company that made about $164.7 billion in operating cash flow last year, that is strange. Why not raise debt? Here’s how I am thinking about it and the implications:\n\n- Capex will be up significantly next year: Maybe $250B? Google has already raised more than $85 billion in debt this past year and can borrow easily. Equity is its priciest option, so you only reach for it when $80 billion is not the overall number. You raise equity to keep the balance sheet strong so you can borrow far more later. If $80 billion were all they needed, they would have just borrowed it. Capex will be up significantly based on this. MSFT and AMZN will have to match this growth. The AI arms race is on!\n\n- Potential Model or Compute Requirement Breakthrough: Management is smart, so spending past your own cash flow means they see something big coming, either a model breakthrough or a huge jump in compute demand. Cloud backlog is over $460 billion and has nearly doubled in one quarter. They flatly say demand is way more than the compute they can supply. Compute is scarce, and whoever serves it wins.\n\n- Derisking before major IPOs: They moved before OpenAI, Anthropic, and SpaceX line up for the same cash. Grab the money while the window is open, in case conditions tighten and markets close.\n\nImplications: This is super bullish for Nvidia, AMD, and all Semiconductors. Google just aggressively confirmed that the spend is going up materially.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.021877466014567082, "ret_signed_m1d": -0.021877466014567082, "alpha_spy_m1d": -0.02052136771713786, "alpha_c_m1d": 0.01671734198598973, "bench_spy_m1d": -0.0013560982974292202, "bench_c_m1d": -0.03859480800055681, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.04022710125359996, "ret_signed_p1d": 0.04022710125359996, "alpha_spy_p1d": 0.04724428357409982, "alpha_c_p1d": 0.031226923711883625, "bench_spy_p1d": -0.00701718232049986, "bench_c_p1d": 0.009000177541716337, "ret_p1w": -0.08825779461014871, "ret_signed_p1w": -0.08825779461014871, "alpha_spy_p1w": -0.05860940778546575, "alpha_c_p1w": -0.02308955814582203, "bench_spy_p1w": -0.02964838682468296, "bench_c_p1w": -0.06516823646432668, "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, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": null, "alpha_spy_stated": null, "alpha_c_stated": null, "price_path": [-0.6176, -0.631, -0.6114, -0.6103, -0.6073, -0.6209, -0.6292, -0.6231, -0.6236, -0.6176, -0.6064, -0.614, -0.6114, -0.6062, -0.5777, -0.6093, -0.6127, -0.6241, -0.6099, -0.5969, -0.583, -0.583, -0.5778, -0.5752, -0.5555, -0.5463, -0.5302, -0.5267, -0.5109, -0.5051, -0.4665, -0.4662, -0.4728, -0.4545, -0.4181, -0.4146, -0.3331, -0.3584, -0.3803, -0.3536, -0.3203, -0.3087, -0.3451, -0.3188, -0.192, -0.2168, -0.1272, -0.1203, -0.1404, -0.1458, -0.1377, -0.1868, -0.1928, -0.2061, -0.1418, -0.138, -0.1036, -0.1036, -0.0338, -0.0499, -0.0066, -0.0104, -0.0219, 0.0, 0.0402, 0.0032, -0.1058, -0.0598, -0.0883, -0.1326, -0.0634, -0.0191, 0.0493, -0.0273, -0.0174, 0.0304, 0.0304, 0.0577, -0.0087, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 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": "orig:2061782801201148005", "ticker_idx": 2, "ts": "2026-06-02T12:11:40+00:00", "symbol": "semiconductors", "kind": "sector", "geography": "US", "sub_sector": null, "direction": "long", "conviction": "high", "explicit": false, "explicit_audit": "kept_implicit_alias_present", "polarity_reversed": false, "quote": "This is super bullish for Nvidia, AMD, and all Semiconductors.", "tweet_type": "analysis", "timeline": "months", "summary": "Google's $80B equity raise signals massive capex surge; super bullish for Nvidia, AMD, all semis, and MSFT/AMZN forced to match AI spend.", "resolved_tickers": ["SMH"], "resolution_method": "etf", "resolution_reason": "US semiconductor sector best proxied by SMH ETF", "bench_c": "SPY", "bench_c_reason": "country_fallback (suffix='')", "bench_c_industry": null, "unit_kind": "original", "lang": "en", "tweet_text": "Google raised $80 billion yesterday. All of it in equity, and no debt.\n\nFor a company that made about $164.7 billion in operating cash flow last year, that is strange. Why not raise debt? Here’s how I am thinking about it and the implications:\n\n- Capex will be up significantly next year: Maybe $250B? Google has already raised more than $85 billion in debt this past year and can borrow easily. Equity is its priciest option, so you only reach for it when $80 billion is not the overall number. You raise equity to keep the balance sheet strong so you can borrow far more later. If $80 billion were all they needed, they would have just borrowed it. Capex will be up significantly based on this. MSFT and AMZN will have to match this growth. The AI arms race is on!\n\n- Potential Model or Compute Requirement Breakthrough: Management is smart, so spending past your own cash flow means they see something big coming, either a model breakthrough or a huge jump in compute demand. Cloud backlog is over $460 billion and has nearly doubled in one quarter. They flatly say demand is way more than the compute they can supply. Compute is scarce, and whoever serves it wins.\n\n- Derisking before major IPOs: They moved before OpenAI, Anthropic, and SpaceX line up for the same cash. Grab the money while the window is open, in case conditions tighten and markets close.\n\nImplications: This is super bullish for Nvidia, AMD, and all Semiconductors. Google just aggressively confirmed that the spend is going up materially.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.03859480800055681, "ret_signed_m1d": -0.03859480800055681, "alpha_spy_m1d": -0.03723870970312759, "alpha_c_m1d": -0.03723870970312759, "bench_spy_m1d": -0.0013560982974292202, "bench_c_m1d": -0.0013560982974292202, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.009000177541716337, "ret_signed_p1d": 0.009000177541716337, "alpha_spy_p1d": 0.016017359862216196, "alpha_c_p1d": 0.016017359862216196, "bench_spy_p1d": -0.00701718232049986, "bench_c_p1d": -0.00701718232049986, "ret_p1w": -0.06516823646432668, "ret_signed_p1w": -0.06516823646432668, "alpha_spy_p1w": -0.03551984963964372, "alpha_c_p1w": -0.03551984963964372, "bench_spy_p1w": -0.02964838682468296, "bench_c_p1w": -0.02964838682468296, "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, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": null, "alpha_spy_stated": null, "alpha_c_stated": null, "price_path": [-0.3747, -0.398, -0.3762, -0.3715, -0.3657, -0.3861, -0.3873, -0.3769, -0.3722, -0.3773, -0.3753, -0.3914, -0.381, -0.3759, -0.3688, -0.3976, -0.408, -0.4266, -0.3936, -0.38, -0.3794, -0.3794, -0.3737, -0.3675, -0.331, -0.3194, -0.309, -0.2987, -0.285, -0.2835, -0.2806, -0.2658, -0.2661, -0.265, -0.2458, -0.2378, -0.1989, -0.1992, -0.223, -0.2098, -0.1985, -0.1936, -0.1984, -0.1732, -0.1304, -0.1457, -0.1039, -0.0884, -0.1122, -0.0945, -0.0852, -0.12, -0.1361, -0.1396, -0.1068, -0.1018, -0.0884, -0.0884, -0.0476, -0.0581, -0.0512, -0.0526, -0.0386, 0.0, 0.009, -0.0074, -0.0989, -0.0539, -0.0652, -0.097, -0.036, -0.0194, 0.0236, -0.0256, -0.013, 0.0438, 0.0438, 0.0581, -0.0188, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 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": "orig:2061782801201148005", "ticker_idx": 3, "ts": "2026-06-02T12:11:40+00:00", "symbol": "MSFT", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "MSFT and AMZN will have to match this growth.", "tweet_type": "analysis", "timeline": "months", "summary": "Google's $80B equity raise signals massive capex surge; super bullish for Nvidia, AMD, all semis, and MSFT/AMZN forced to match AI spend.", "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": "Google raised $80 billion yesterday. All of it in equity, and no debt.\n\nFor a company that made about $164.7 billion in operating cash flow last year, that is strange. Why not raise debt? Here’s how I am thinking about it and the implications:\n\n- Capex will be up significantly next year: Maybe $250B? Google has already raised more than $85 billion in debt this past year and can borrow easily. Equity is its priciest option, so you only reach for it when $80 billion is not the overall number. You raise equity to keep the balance sheet strong so you can borrow far more later. If $80 billion were all they needed, they would have just borrowed it. Capex will be up significantly based on this. MSFT and AMZN will have to match this growth. The AI arms race is on!\n\n- Potential Model or Compute Requirement Breakthrough: Management is smart, so spending past your own cash flow means they see something big coming, either a model breakthrough or a huge jump in compute demand. Cloud backlog is over $460 billion and has nearly doubled in one quarter. They flatly say demand is way more than the compute they can supply. Compute is scarce, and whoever serves it wins.\n\n- Derisking before major IPOs: They moved before OpenAI, Anthropic, and SpaceX line up for the same cash. Grab the money while the window is open, in case conditions tighten and markets close.\n\nImplications: This is super bullish for Nvidia, AMD, and all Semiconductors. Google just aggressively confirmed that the spend is going up materially.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.04352947261868367, "ret_signed_m1d": 0.04352947261868367, "alpha_spy_m1d": 0.044885570916112894, "alpha_c_m1d": 0.044885570916112894, "bench_spy_m1d": -0.0013560982974292202, "bench_c_m1d": -0.0013560982974292202, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.03165575513355168, "ret_signed_p1d": -0.03165575513355168, "alpha_spy_p1d": -0.024638572813051818, "alpha_c_p1d": -0.024638572813051818, "bench_spy_p1d": -0.00701718232049986, "bench_c_p1d": -0.00701718232049986, "ret_p1w": -0.08588066009416051, "ret_signed_p1w": -0.08588066009416051, "alpha_spy_p1w": -0.05623227326947755, "alpha_c_p1w": -0.05623227326947755, "bench_spy_p1w": -0.02964838682468296, "bench_c_p1w": -0.02964838682468296, "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, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": null, "alpha_spy_stated": null, "alpha_c_stated": null, "price_path": [-0.0714, -0.0753, -0.0743, -0.0825, -0.0845, -0.0914, -0.1056, -0.0957, -0.0969, -0.1141, -0.1204, -0.1366, -0.134, -0.1572, -0.161, -0.1725, -0.1933, -0.1884, -0.163, -0.1648, -0.1556, -0.1556, -0.1569, -0.1582, -0.1536, -0.1565, -0.1614, -0.1309, -0.1111, -0.0702, -0.0498, -0.044, -0.0547, -0.0409, -0.0211, -0.06, -0.0399, -0.0394, -0.0294, -0.0403, -0.078, -0.0629, -0.0648, -0.0698, -0.064, -0.0486, -0.0614, -0.0669, -0.078, -0.0838, -0.0742, -0.046, -0.0423, -0.0562, -0.0479, -0.0504, -0.0515, -0.0515, -0.0573, -0.0649, -0.0324, 0.0202, 0.0435, 0.0, -0.0317, -0.03, -0.0558, -0.067, -0.0859, -0.0996, -0.1155, -0.1146, -0.0942, -0.1076, -0.1414, -0.1403, -0.1403, -0.1676, -0.153, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 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": "orig:2061782801201148005", "ticker_idx": 4, "ts": "2026-06-02T12:11:40+00:00", "symbol": "AMZN", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "MSFT and AMZN will have to match this growth.", "tweet_type": "analysis", "timeline": "months", "summary": "Google's $80B equity raise signals massive capex surge; super bullish for Nvidia, AMD, all semis, and MSFT/AMZN forced to match AI spend.", "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": "Google raised $80 billion yesterday. All of it in equity, and no debt.\n\nFor a company that made about $164.7 billion in operating cash flow last year, that is strange. Why not raise debt? Here’s how I am thinking about it and the implications:\n\n- Capex will be up significantly next year: Maybe $250B? Google has already raised more than $85 billion in debt this past year and can borrow easily. Equity is its priciest option, so you only reach for it when $80 billion is not the overall number. You raise equity to keep the balance sheet strong so you can borrow far more later. If $80 billion were all they needed, they would have just borrowed it. Capex will be up significantly based on this. MSFT and AMZN will have to match this growth. The AI arms race is on!\n\n- Potential Model or Compute Requirement Breakthrough: Management is smart, so spending past your own cash flow means they see something big coming, either a model breakthrough or a huge jump in compute demand. Cloud backlog is over $460 billion and has nearly doubled in one quarter. They flatly say demand is way more than the compute they can supply. Compute is scarce, and whoever serves it wins.\n\n- Derisking before major IPOs: They moved before OpenAI, Anthropic, and SpaceX line up for the same cash. Grab the money while the window is open, in case conditions tighten and markets close.\n\nImplications: This is super bullish for Nvidia, AMD, and all Semiconductors. Google just aggressively confirmed that the spend is going up materially.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.018478173066273085, "ret_signed_m1d": 0.018478173066273085, "alpha_spy_m1d": 0.019834271363702305, "alpha_c_m1d": 0.013375685467859277, "bench_spy_m1d": -0.0013560982974292202, "bench_c_m1d": 0.005102487598413807, "ret_t0": 0.0, "ret_signed_t0": 0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": -0.02533909644314114, "ret_signed_p1d": -0.02533909644314114, "alpha_spy_p1d": -0.01832191412264128, "alpha_c_p1d": -0.018025598063042936, "bench_spy_p1d": -0.00701718232049986, "bench_c_p1d": -0.0073134983800982045, "ret_p1w": -0.04806637728184393, "ret_signed_p1w": -0.04806637728184393, "alpha_spy_p1w": -0.01841799045716097, "alpha_c_p1w": -0.033439315511039513, "bench_spy_p1w": -0.02964838682468296, "bench_c_p1w": -0.014627061770804417, "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, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": null, "alpha_spy_stated": null, "alpha_c_stated": null, "price_path": [-0.1465, -0.1688, -0.1677, -0.1645, -0.171, -0.1832, -0.1904, -0.1746, -0.1611, -0.1819, -0.1862, -0.1994, -0.1808, -0.1921, -0.1747, -0.1909, -0.2229, -0.2166, -0.1881, -0.1791, -0.1822, -0.1822, -0.1705, -0.1667, -0.1375, -0.0892, -0.0707, -0.0648, -0.0292, -0.0313, -0.0266, -0.0232, -0.0321, -0.0258, -0.0045, -0.0056, 0.0291, 0.0179, 0.0124, 0.0254, 0.0333, 0.0458, 0.0605, 0.0664, 0.072, 0.0571, 0.063, 0.0486, 0.0363, 0.0531, 0.0417, 0.0297, 0.0325, 0.011, 0.0331, 0.0465, 0.0382, 0.0382, 0.0342, 0.0598, 0.0681, 0.055, 0.0185, 0.0, -0.0253, -0.0106, -0.0409, -0.0441, -0.0481, -0.0722, -0.0585, -0.0701, -0.0409, -0.041, -0.0741, -0.0473, -0.0473, -0.0925, -0.0854, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 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": "orig:2062172850862391525", "ticker_idx": 0, "ts": "2026-06-03T14:01:35+00:00", "symbol": "MRVL", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "Marvell's ASIC contracts will be the first to be canceled in the event of a glut, before those of Broadcom, AMD, or Nvidia. Such moves don't end well.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bearish MRVL: ASIC contracts most vulnerable to cancellation in a glut, 50% 2-day surge driven by hype unsustainable, valuations matter.", "resolved_tickers": ["MRVL"], "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": "original", "lang": "en", "tweet_text": "Signs of Gambling in the Semiconductor Space\n\nJensen Huang says Marvell can be the next Trillion-Dollar Company, and the stock rises 50% in 2 days.\n\nSuch moves don’t end well.\n\nMarvell’s ASIC contracts will be the first to be canceled in the event of a glut, before those of Broadcom, AMD, or Nvidia.\n\nAm I wrong here? Do valuations not matter as growth is potentially exponential (if all goes well!)?", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.0360019412275846, "ret_signed_m1d": 0.0360019412275846, "alpha_spy_m1d": 0.0430687123696053, "alpha_c_m1d": 0.02708204434149697, "bench_spy_m1d": 0.0070667711420207, "bench_c_m1d": -0.00891989688608763, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.0489971791094046, "ret_signed_p1d": -0.0489971791094046, "alpha_spy_p1d": -0.045218493347265465, "alpha_c_p1d": -0.06525363736352174, "bench_spy_p1d": 0.0037786857621391334, "bench_c_p1d": -0.016256458254117145, "ret_p1w": -0.16263881502158894, "ret_signed_p1w": 0.16263881502158894, "alpha_spy_p1w": 0.12444143351492731, "alpha_c_p1w": 0.05762227840824674, "bench_spy_p1w": -0.03819738150666163, "bench_c_p1w": -0.1050165366133422, "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, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": null, "alpha_spy_stated": null, "alpha_c_stated": null, "price_path": [-0.7032, -0.693, -0.6909, -0.7003, -0.7095, -0.7089, -0.6966, -0.6992, -0.7097, -0.7033, -0.7087, -0.7013, -0.694, -0.6738, -0.6763, -0.6856, -0.709, -0.6718, -0.6464, -0.6451, -0.6451, -0.6371, -0.6376, -0.6208, -0.6026, -0.574, -0.5647, -0.5563, -0.5538, -0.5579, -0.5369, -0.5099, -0.4984, -0.4785, -0.4512, -0.4553, -0.4755, -0.492, -0.481, -0.4525, -0.4532, -0.4575, -0.4406, -0.4293, -0.4696, -0.436, -0.4336, -0.4547, -0.4101, -0.3947, -0.4136, -0.44, -0.4156, -0.3807, -0.3678, -0.3491, -0.3491, -0.3096, -0.3413, -0.321, -0.3204, -0.2726, -0.036, 0.0, 0.049, -0.1266, -0.0424, -0.1153, -0.1626, -0.0694, -0.0728, 0.024, -0.0762, -0.0401, 0.0296, 0.0296, 0.0206, -0.0793, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 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": "orig:2064572571400753634", "ticker_idx": 0, "ts": "2026-06-10T04:57:13+00:00", "symbol": "LULU", "kind": "equity", "geography": null, "sub_sector": null, "direction": "short", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "here's why we are passing on the company", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Passing on LULU despite low P/E: earnings risk from re-investment, ongoing margin pressure, and unpredictable fashion trends make it uninvestable.", "resolved_tickers": ["LULU"], "resolution_method": "identity", "resolution_reason": "structural marker; pre-classified as canonical yfinance ticker", "bench_c": "XLY", "bench_c_reason": "industry='Apparel Retail'", "bench_c_industry": "Apparel Retail", "unit_kind": "original", "lang": "en", "tweet_text": "On $LULU \n\nWith the stock trading at a historically low P/E of 10x, the company looks very interesting from a value perspective. \n\nHistory shows us that apparel turnarounds are notoriously difficult to pull off.\n\nHere's why we are passing on the company: \n\nEarnings Risk: The 10x PE may quickly rise to 13x-15x if the new management decides to invest in building the brand and/or R&D for new products (I guess they have to).\n\nMargin Pressure: If the brand’s popularity does not improve, Lululemon’s gross margins will continue to remain under pressure. Weak consumer spending adds salt to the wound. \n\nFast Moving Fashion Trends: It is difficult to predict how women’s clothing preferences will play out in the coming years", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": 0.02043218951433934, "ret_signed_m1d": -0.02043218951433934, "alpha_spy_m1d": -0.004414092699721595, "alpha_c_m1d": 0.0005388906136269966, "bench_spy_m1d": 0.016018096814617744, "bench_c_m1d": 0.020971080127966335, "ret_t0": 0.0, "ret_signed_t0": -0.0, "alpha_spy_t0": 0.0, "alpha_c_t0": 0.0, "bench_spy_t0": 0.0, "bench_c_t0": 0.0, "ret_p1d": 0.02446814113552298, "ret_signed_p1d": -0.02446814113552298, "alpha_spy_p1d": -0.007471293248775046, "alpha_c_p1d": 0.00029182765829838253, "bench_spy_p1d": 0.016996847886747934, "bench_c_p1d": 0.024759968793821363, "ret_p1w": -0.06028754856257468, "ret_signed_p1w": 0.06028754856257468, "alpha_spy_p1w": 0.08169556671270062, "alpha_c_p1w": 0.07791026931186784, "bench_spy_p1w": 0.02140801815012594, "bench_c_p1w": 0.017622720749293164, "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, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": null, "alpha_spy_stated": null, "alpha_c_stated": null, "price_path": [0.3267, 0.3446, 0.3392, 0.3906, 0.3922, 0.369, 0.3822, 0.3533, 0.3346, 0.2729, 0.2264, 0.2262, 0.2873, 0.3353, 0.3093, 0.3093, 0.3132, 0.2921, 0.3357, 0.4001, 0.3778, 0.3669, 0.3504, 0.3684, 0.3699, 0.4065, 0.4026, 0.4017, 0.3743, 0.1911, 0.2091, 0.2355, 0.1973, 0.1617, 0.1578, 0.1232, 0.0845, 0.0948, 0.1102, 0.1233, 0.103, 0.0623, 0.0521, 0.0192, 0.0179, 0.0018, 0.0112, 0.0024, 0.0526, 0.0658, 0.0694, 0.0694, 0.0708, 0.1018, 0.1043, 0.103, 0.1107, 0.0634, 0.0597, 0.0504, -0.0395, -0.0116, 0.0204, 0.0, 0.0245, -0.0013, -0.0229, -0.0288, -0.0603, -0.0602, -0.0602, -0.1135, -0.0835, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 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": "orig:2067488405462855740", "ticker_idx": 0, "ts": "2026-06-18T06:03:42+00:00", "symbol": "NFLX", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "high", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "the risk-reward has finally tilted in Netflix's favor", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish NFLX: best-in-class content efficiency, lowest churn, and post-WBD-deal-collapse valuation now attractive.", "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": "Netflix is now down 40% from its ATH.\n\nThe decline is driven by a narrative shift, with investors worried about an engagement plateau due to short-form competition (YouTube, TikTok), generative AI flooding the market with cheap synthetic video, and the abandoned Warner Bros. deal.\n\nBut underneath, Netflix’s competitive moat remains exceptional.\n\n- Netflix spent $55 per subscriber on content (lowest among competition) while generating $139 per subscriber (highest among competition).\n\n- Netflix also has the lowest churn in the category (<2% per month) compared to ~4% for the industry.\n\n- Despite repeated price increases, retention has remained the same.\n\nWith the Warner Bros merger falling through and the valuation coming down to more attractive levels, the risk-reward has finally tilted in Netflix's favor.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.005427735640385567, "ret_signed_m1d": -0.005427735640385567, "alpha_spy_m1d": 0.004862271673305774, "alpha_c_m1d": -0.0031435858077603074, "bench_spy_m1d": -0.01029000731369134, "bench_c_m1d": -0.0022841498326252596, "ret_t0": 0.0, "ret_signed_t0": 0.0, "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": null, "ret_signed_p1w": null, "alpha_spy_p1w": null, "alpha_c_p1w": null, "bench_spy_p1w": null, "bench_c_p1w": null, "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, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": null, "alpha_spy_stated": null, "alpha_c_stated": null, "price_path": [0.2068, 0.175, 0.1926, 0.206, 0.2074, 0.2015, 0.2426, 0.2348, 0.275, 0.275, 0.2785, 0.2771, 0.2844, 0.3188, 0.3312, 0.3332, 0.3735, 0.392, 0.393, 0.2576, 0.2255, 0.1964, 0.205, 0.1995, 0.1946, 0.1808, 0.1924, 0.1905, 0.2097, 0.1897, 0.1763, 0.1358, 0.1407, 0.1405, 0.1307, 0.1043, 0.1329, 0.1316, 0.1235, 0.1246, 0.1586, 0.1544, 0.1384, 0.154, 0.145, 0.145, 0.1331, 0.1288, 0.1161, 0.1117, 0.1095, 0.0769, 0.0535, 0.054, 0.062, 0.068, 0.0521, 0.0597, 0.0503, 0.0383, 0.0554, 0.0173, -0.0054, 0.0, 0.0, -0.0582, -0.0569, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 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": "orig:2067619503455043926", "ticker_idx": 0, "ts": "2026-06-18T14:44:38+00:00", "symbol": "NFLX", "kind": "equity", "geography": null, "sub_sector": null, "direction": "long", "conviction": "low", "explicit": true, "explicit_audit": "verified", "polarity_reversed": false, "quote": "This advantage only compounds.", "tweet_type": "analysis", "timeline": "unspecified", "summary": "Bullish NFLX: lowest content spend per subscriber + highest revenue per sub is a compounding structural moat reinforced by two decades of viewing data.", "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": "Here’s what everyone misses about Netflix:\n\nThey have the lowest per-subscriber content spend while having the highest revenue per subscriber. (Rebound Capital estimates)\n\nThis advantage only compounds.\n\nTwo decades of viewing data tell Netflix what to greenlight and whom to recommend it to - which lowers content risk and lifts ad revenue. Netflix also ranks among the most Emmy-nominated platforms in entertainment year after year.", "reply_text": null, "parent_text": null, "quoted_text": null, "parent_author": null, "ret_m1d": -0.005427735640385567, "ret_signed_m1d": -0.005427735640385567, "alpha_spy_m1d": 0.004862271673305774, "alpha_c_m1d": -0.0031435858077603074, "bench_spy_m1d": -0.01029000731369134, "bench_c_m1d": -0.0022841498326252596, "ret_t0": 0.0, "ret_signed_t0": 0.0, "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": null, "ret_signed_p1w": null, "alpha_spy_p1w": null, "alpha_c_p1w": null, "bench_spy_p1w": null, "bench_c_p1w": null, "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, "ret_p1y": null, "ret_signed_p1y": null, "alpha_spy_p1y": null, "alpha_c_p1y": null, "bench_spy_p1y": null, "bench_c_p1y": null, "stated_td": 21, "stated_label": "p1m", "ret_signed_stated": null, "alpha_spy_stated": null, "alpha_c_stated": null, "price_path": [0.2068, 0.175, 0.1926, 0.206, 0.2074, 0.2015, 0.2426, 0.2348, 0.275, 0.275, 0.2785, 0.2771, 0.2844, 0.3188, 0.3312, 0.3332, 0.3735, 0.392, 0.393, 0.2576, 0.2255, 0.1964, 0.205, 0.1995, 0.1946, 0.1808, 0.1924, 0.1905, 0.2097, 0.1897, 0.1763, 0.1358, 0.1407, 0.1405, 0.1307, 0.1043, 0.1329, 0.1316, 0.1235, 0.1246, 0.1586, 0.1544, 0.1384, 0.154, 0.145, 0.145, 0.1331, 0.1288, 0.1161, 0.1117, 0.1095, 0.0769, 0.0535, 0.054, 0.062, 0.068, 0.0521, 0.0597, 0.0503, 0.0383, 0.0554, 0.0173, -0.0054, 0.0, 0.0, -0.0582, -0.0569, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null]}