Forward-tested leaderboard
Only strategies that were validated with a held-out out-of-sample window(walk-forward or CPCV) appear here. Single-pass backtests don't — the number you'd see would be the one that's already been optimised against. Rows are bucketed by symbol and period so you're always comparing like with like, and each Sharpe carries a 95% confidence interval so rows that are statistically tied with the leader are visually grouped.
Methodology: out-of-sample Sharpe = mean of per-window Sharpes across the walk-forward or CPCV folds reported by scripts/run_backtest.py. 95% CI uses the Lo (2002) asymptotic formula 1.96 × √((1 + 0.5·SR²) / N) where N is the OOS trade count. Buckets are symbol × period(year); ranks are per-bucket. Refreshes every 5 minutes.
Want to compete? Run a walk-forward, publish your strategy, and your row appears here once a 10+ trade OOS window exists.