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Trades
| Date | Session | Dir | Entry | Entry Time | Exit | Exit Time | P&L $ | T1 $ | T2 $ | Runner $ |
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Load data and configure parameters to begin
| # | Parameters | Total P&L $ | IS P&L $ | OOS P&L $ | OOS/ISi | Robustness | US P&L | Asia P&L | London P&L | Win % | Trades | Avg Win $ | Avg Loss $ | Expect $ | Max DD $ | PF | Sharpe | Calmar |
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| β | Saved | Note | Parameters | Total P&L $ | OOS P&L $ | OOS/IS | Win % | Trades | Sharpe | Calmar | Data |
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| # | Parameters | Total P&L $ | IS P&L $ | OOS P&L $ | OOS/IS | Robustness | US P&L | Asia P&L | London P&L | Win % | Trades | Avg Win $ | Avg Loss $ | Expect $ | Max DD $ | PF | Sharpe | Calmar |
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| Date | Trades | P&L | Max Profit | Max Loss |
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| Day | Trades | P&L | Win % | Avg P&L |
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| Hour (entry) | Trades | P&L | Win % | Avg P&L |
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| Date | Session | Dir | Entry | Entry Time | Exit | Exit Time | P&L $ | T1 $ | T2 $ | Runner $ |
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(OOS_PnL Γ· OOS_days) Γ· (IS_PnL Γ· IS_days). 1.0 = held up exactly per-day; <1 = degraded; >1 = OOS outperformed IS per-day.
| Ratio | Interpretation | Action |
|---|---|---|
| β₯ 1.0 | OOS as good as or better than IS per-day. Strategy is robust (or got lucky on OOS β cross-check with sample size). | Strong candidate |
| 0.7 β 1.0 | OOS captured 70β100% of IS edge. Solid hold-up. | Sweet spot β what you want |
| 0.5 β 0.7 | OOS captured 50β70%. Real edge present but degraded. | Tradable, but expect less than IS suggests |
| 0.3 β 0.5 | OOS captured 30β50%. Most of IS edge is overfit noise. | Risky β only trade if absolute OOS P&L is meaningful |
| 0 β 0.3 | OOS barely positive. Strategy is mostly curve-fit. | Don't trade |
| Negative | OOS lost money. Sign flipped from IS. | Avoid β strategy actively breaks on new data |