SignalSnitch
SignalSnitch tracks every public trade @saylor makes on X, then settles each one against real market data to score who's actually right. This is a backward-looking accountability record — not financial advice.
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Frequently asked questions
Is @saylor accurate?
@saylor is graded 23% accurate over 154 resolved trades (36 wins, 118 losses) on SignalSnitch, which settles every public trade against real market data. That ranks #211 of all tracked traders. This is a backward-looking accountability record, not financial advice.
What is @saylor's win rate?
@saylor has 36 wins and 118 losses across the 154 trades SignalSnitch has graded so far — a 23% hit rate, measured against real historical price moves rather than self-reported results.
Which stocks is @saylor best at?
@saylor's most-tracked tickers include $BTC, $MSTR, $STRC. Their strongest graded ticker is $BTC at 40% accuracy on SignalSnitch. Per-ticker accuracy is rebuilt daily as new trades resolve.
How is @saylor's accuracy calculated?
SignalSnitch captures @saylor's public X trades, then settles each one against real historical market data — a win if the trade played out, a loss if it didn't. Accuracy is wins divided by resolved trades, with the methodology published in full.
Should I follow @saylor?
SignalSnitch doesn't make follow, buy, or sell recommendations. We publish the receipts — @saylor's graded record is 23% over 154 trades, ranked #211 overall — so you can judge for yourself. This is accountability data, not financial advice.
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