Beating the Odds
Measured on whether a call reached its target before its stop, 152 of 242 graded accounts clear the line chance alone would set — under the close-price measure we used until this edition, it was 14 of 242. 43 accounts entered the top 100 this month; 40 dropped out. When the S&P 500 rose, FinTwit hit 63%; when it fell, 59%. The gap is real but modest — less of this record is market beta than the returns alone suggest.
A “decile” is just a tenth of the field: the best tenth, the middle, and the worst. A hit is a call that reached its target before its stop, inside 7 days. The target scales with each ticker's volatility, +5% against −8% on most names and tighter on steady ones. Because the stop sits further out than the target, chance alone lands near 61.5% — so that, not 50%, is the line to read these against.
Crossing the wire: the names the crowd talked about most, and how often calls on them landed.
The sharpest split on this page isn't audience size and it isn't conviction — it's whether someone was calling a ticker they already know. Accounts with a per-ticker score of 70 or better hit 82% on that ticker; everyone else, 60%.
One axis, four different questions — expertise, asset class, company size. It is a summary, not a like-for-like ranking; the tables below cut each one on its own. The line is 61.5%, what chance alone would reach.
By sector
Consumer Defensive leads at 66%; Industrials trails at 56%. The crowd knows some terrain and guesses at the rest. Hit rates cluster in the sectors people actually live in, where the average poster has a feel for the products and the headlines. The harder corners reward specialist knowledge most of the field does not have.
Stock calls only; covers 99.8% of resolved stock-call volume (the major-cap names).
Some of what the crowd believes about itself does not survive contact with the tape. Agreement, audience size and direction all look like they should matter. Measured against the target-before-stop rule, they mostly don't.
A call with a single account behind it hits 62% of the time. When 30+ separate accounts land on the same call inside a week, it is 64%. Agreement does not buy accuracy here. Crowding tends to arrive after a move rather than before it, so by the time a name is on everyone's timeline the easy part is usually gone.
Calls grouped by how many distinct tracked accounts made the same call (ticker + direction) in the same week. Hit rates run flat to slightly lower as agreement rises, so a crowded call is not a safer one.
Crowded trades that paid
Each of these names drew twenty or more callers and still cleared a 67% hit rate — the rare case where a crowded trade was also a correct one. When the consensus formed around these tickers, it formed for a reason, and the tape paid it out.
Crowded trades that didn't pay
The flip side: the names just as many people piled into, where the hit rate came in under 55% — well short of what chance alone reaches. Heavy attention pulls in momentum-chasers and latecomers as readily as it marks a real edge, and on these tickers the crowd mistook noise for conviction.
By audience size
Mega · 500k+ accounts grade 67%; Small · <5k accounts, 60%. A bigger audience does not buy a better record. Reach rewards confidence and posting volume more than it rewards being right, so the loudest accounts are not reliably the sharpest. Follower count measures how many people are listening, and almost nothing about whether they should be.
When a ticker’s specialists took the opposite side from the crowd, they were right more often, winning 129 of 193 weekly standoffs. A deep read on one name beat a broad take on all of them.
Standoffs by ticker
A standoff is one week a ticker’s specialists (per-ticker score ≥ 70 that day) and the crowd took opposite sides; the winner is whichever side’s calls returned more over the next 7 days. These are aggregate figures, with no individual names. Newer standoffs land in the next edition as they resolve.
When the S&P 500 rose, FinTwit's calls hit 63% of the time. When it fell, 59%. The gap is real but modest. Measured on target-before-stop, far less of this record is the market carrying the field than the returns alone suggest.
Hit rate split by whether the S&P 500 rose or fell over the call's 30-day holding window. The hit itself is a 7-day verdict.
That’s the month, in six plain-English takeaways.
Cite this report
SignalSnitch. (2026). The Accountability Desk: FinTwit vs. the Market (September 2026 edition). Retrieved from https://signalsnitch.io/state-of-fintwit/m/2026-09Per SignalSnitch's Accountability Desk (signalsnitch.io/state-of-fintwit/m/2026-09), the median hit rate across 242 ranked finfluencers is 63.7%.Free to republish with attribution under CC BY 4.0.
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About SignalSnitch
SignalSnitch grades the public market calls of social-media traders against actual price action and publishes the results as a leaderboard. The system is independent of brokerages and runs continuously; every figure on this page comes straight from the live dataset, with no hand-picking. Poise Through the Noise.
Aggregate figures only, across the ranked field. Educational, not investment advice. Frozen edition, computed from the live dataset at month close: September 2026.