Ahead of the Tape
Across 57,951 resolved calls, FinTwit’s median 30d return beat a buy-and-hold S&P 500 by 1.8 points, and 49% of calls beat SPY. Accuracy climbed from 45% at 24 hours to 50% at 30 days. These calls need time to work. 0 accounts entered the top 100 this month; 100 dropped out. When the S&P 500 rose, FinTwit hit 57%; when it fell, 40%, a gap that looks more like market beta than skill.
A “decile” is just a tenth of the field: the best tenth, the middle, and the worst.
Crossing the wire: the names the crowd talked about most, and how often calls on them landed.
Over a 30-day hold, FinTwit’s calls beat a buy-and-hold S&P 500 49% of the time, with the median call finishing 1.8 points ahead of it. The index is the benchmark every call has to clear, because it is the return anyone could have earned by buying once and sitting still for a month. Anything short of it is work that lost to doing nothing. Win % in the table below is the share of calls that beat that bar at each holding window.
A call with a single account behind it wins 42% of the time, barely better than a coin toss. When 30+ separate accounts land on the same call inside a week, the win rate climbs to 52%. That cuts against the usual instinct to fade a crowded trade: when independent voices reach the same name and direction on their own, the agreement carries information, and here it is worth more than any single loud take.
Calls grouped by how many distinct tracked accounts made the same call (ticker + direction) in the same week. More agreement lines up with higher accuracy, not lower.
Crowded trades that paid
Each of these names drew twenty or more callers and still cleared a 60% win 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 win rate came in below a coin flip. 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.
When a ticker’s specialists took the opposite side from the crowd, they were right more often, winning 24 of 37 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.
A single headline win rate hides as much as it reveals. The same record looks very different once it is cut by how long a call is held, whether it is a buy or a sell, the size and sector of the company, and the size of the account making it. Slice it those ways and the real strengths start to separate from the blind spots.
Accuracy by holding window
Held for 24h, the calls are right 45% of the time; stretch the window out to 30d and the hit rate rises to 50%. That climb says most of these are slow-burning theses rather than day-trades, and that the first session mostly captures the day’s mood. The edge only shows up once the market has had a few weeks to come around.
90d appears once it reaches a quarter (25%) of the 30d resolved count, filling as the spring-2026 cohorts mature (Jul-Aug 2026).
By direction
Buy calls win 52% of the time; sell calls, 42%. There is a structural reason for the gap. Markets drift higher over the long run, so a bullish call starts with the wind at its back, while calling a top means fighting that drift on timing alone. The same difficulty keeps sells scarce: the crowd posts them rarely, and gets them right less often when it does.
By asset class
Stock calls win 52%; Crypto calls, 40%. The edge is not spread evenly across what the crowd trades. Each asset class moves to its own rhythm: equities grind on earnings and interest rates, while crypto runs around the clock on sentiment and liquidity, and a thesis that works in one rarely transfers cleanly to the other.
By market cap
Mega ≥$200B names win 57%; Small <$2B names, 45%. Size tends to steady the record. The biggest companies are followed by armies of analysts and trade on deep, liquid markets, so a call on one is a bet on a well-understood story. Smaller names swing on a single headline or a thin day of volume, which widens the range of outcomes in both directions.
Around earnings
The same calls, split by whether they landed in the days around a company’s earnings report or during calmer stretches. Earnings turn a stock into a coin flip on a single number: the print can vindicate a thesis overnight or gap it the wrong way before anyone can react. A call can be right about the business and still lose to the reaction, which is why the window around a report reads so differently from the rest of the calendar.
By audience size
Mega · 500k+ accounts grade 46%; Small · <5k accounts, 43%. 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.
By sector
Healthcare leads at 62%; Consumer Defensive trails at 21%. The crowd knows some terrain and guesses at the rest. Accuracy clusters 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, and the win rate shows it.
Stock calls only; covers 78.8% of resolved stock-call volume (the major-cap names).
In the months the S&P 500 rose, FinTwit’s calls won 57% of the time. In the months it fell, 40%. A gap that wide says the tide is doing most of the lifting: when nearly every call is a buy, a rising market flatters the entire field and a falling one drags it down, no matter who made the call.
30d call win-rate split by whether the S&P 500 rose or fell over the same holding window.
By volatility (beta), in each regime
High-beta names amplify whatever the market is already doing: thrilling on the way up, brutal on the way down. The same aggressive call can read as genius in a rally and recklessness in a sell-off, even when the underlying thesis never changed. Low-beta, defensive names move less either way, which is why they hold up when the tape turns.
High-beta/momentum names outperform when the market rises and crater when it falls; low-beta names hold up better in the sell-off. Covers 66.9% of resolved-call volume.
That’s the month, in six plain-English takeaways.
Cite this report
SignalSnitch. (2026). The Accountability Desk: FinTwit vs. the Market (June 2026 edition). Retrieved from https://signalsnitch.io/state-of-fintwit/m/2026-06Per SignalSnitch’s Accountability Desk (signalsnitch.io/state-of-fintwit/m/2026-06), median accuracy across 218 ranked finfluencers is 46.7%.Free to republish with attribution under CC BY 4.0.
Use the data
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: June 2026.