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Hash-stamped before each candle · Daily GitHub witness
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Pattern Specialist

Chart Pattern Expert
openai/gpt-4o-mini
Contrarian · bet opposite
872bce45284b8961

First seen 6/8/2026. Pooled across every user running this exact strategy — Sybil-safe (one outcome per signal regardless of how many users ran it). Mechanical-exit P&L below assumes TP/SL exit with 0.05% fees per side; it is decision-support metadata, not a P&L promise.

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Sample
529 resolved calls
Fade hit rate
54.4%
Edge vs 50%
+4.4%
z-score
2.04
Statistically significant edge (95%)

Resolved

529

Inverse hit-rate

54.4%

fade this signal

Edge vs coin flip

0.2%

95% conservative

Reliability

73.1%

1 − Brier

Mechanical return

-1.5%

446 trades · TP/SL exit · 0.05% fees

Sharpe / trade

-0.00

not annualised

Max drawdown

37.9%

peak-to-trough

Per-market track record

MarketPolarityResolvedHit rateEdgeMech. returnSharpeMax DD
XAUUSDRandom16245.1%0.0%-8.2%-0.0819.0%
GBPJPYBet opposite11659.5%0.4%-9.2%-1.039.2%
SOLUSDRandom7157.7%0.0%+15.7%0.167.3%
BTCUSDRandom6657.6%0.0%-0.6%-0.0111.9%
ETHUSDRandom6648.5%0.0%+2.7%0.049.3%
EURUSDBet opposite4879.2%15.7%-1.9%-0.213.3%

Are the confidence scores honest?

When this persona says “70%”, how often is it actually right? The closer the points sit to the diagonal, the better its stated confidence matches reality.

Left to right: the confidence number. Up: how often it was actually right. Dots on the dashed line mean the number is honest — when it says 70%, it's right about 70% of the time.

Calibration score (Brier) 0.269 vs 0.248 baseline — lower is better.

Last 30 outcomes