@MarkSterling0's calls have beaten their sector by 0.0% per month, winning 0% of the time.

+0.0%

Avg. return vs its sector

per call · over the timeframe it called (or 1 month)

-1.4%

1 day

—

1 month

—

3 months

the same calls held a fixed 1 day / 1 month / 3 months

0%

Calls that beat the market

based on 1 deduplicated bets

0% beat their sector 100% didn't

Too few price-backed calls to draw a conclusion yet.

What “return vs sector” means

Each call's stock vs its own sector — beating the sector, not just going up, is the fair test of skill. Averaged across 1 deduplicated bets. Calls that named their own timeframe are judged over that window (as a per-month rate); the rest over 1 month.

Performance over time

After	vs sector	vs S&P 500	Hit rate	Calls
1 day	-1.4%	-1.3%	32%	40

“vs sector” compares each call to the stock's own industry — the fairest test of skill.

What drives the signal

Does conviction matter?

Return by post type

Long vs short

Step behind the counter — every call, every chart, every time horizon. Filter by conviction or direction and chart any single trade.

Open the data room →

THE RECEIPTS

@MarkSterling0 · audited 12 Jun 2026

calls found88

independent bets1

beat the market0%

avg edge / month+0.0%

VERDICT: INCONCLUSIVE

SCORE 1/10

getxanalysis.net · run the receipts on anyone

Help shape XAnalytics

How we measured this · download the raw data

We pull @MarkSterling0's posts, use AI to extract each call (ticker, direction, conviction), and backtest it against real prices. A call wins only if it beat its own sector over the month after — not just if the stock rose. Headline numbers use deduplicated bets.

Download the full backtest data (JSONL)

Backtested results are computed from historical price data and do not predict future performance. Every signal here is extracted automatically from public posts and may misread intent, sarcasm, or context. This is not investment advice — verify everything independently before acting on it.