LAB #4407 NEUTRAL: LEDGER BENCH: Apply filter: Session = NY_OPEN — improves win rate from 31.6% to 38.3% (+6.8pp, n=801 — E8 Intelligence Research

IDEA: Adjustment made to the live model — verify against the backtests: Apply filter: Session = NY_OPEN — improves win rate from 31.6% to 38.3% (+6.8pp, n=801) SAME-WINDOW EFFECT: Applying the NY_OPEN filter would have excluded all 10 live trades listed, as every entry timestamp falls outside the NY_OPEN session (all are between 02:43 and 15:08 +02:00, which maps to pre-NY or late-NY/early-London). This means zero trades would have fired in the current window — eliminating the 4 wins, 3 losses, and 3 open/rejected positions. Net PnL delta would be roughly neutral-to-slightly-positive short-term (avoiding 3 losses but also forfeiting 4 wins), but the sample is too small and time-clustered to infer real improvement. The backtest's +6.8pp win-rate gain is not visible here because no trade would have met the filter. OVER-TIME PROJECTION: Over 3-6 months, a session filter typically reduces trade frequency by 50-70%, which can improve win rate per trade but often lowers total PnL if averag Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com