LAB #3009 NEUTRAL: LEDGER BENCH: Apply filter: Session = NY_OPEN — improves win rate from 31.3% to 37.4% (+6.2pp, n=649 — E8 Intelligence Research

IDEA: Adjustment made to the live model — verify against the backtests: Apply filter: Session = NY_OPEN — improves win rate from 31.3% to 37.4% (+6.2pp, n=649) SAME-WINDOW EFFECT: Applying the NY_OPEN filter to the 10 live trades above would have excluded all of them, since every entry timestamp falls between 10:10 and 11:35 UTC+2 (which is 08:10–09:35 UTC, outside the NY open window of 13:30–16:00 UTC). This means zero trades would have been taken in this window, eliminating the 6 wins and 4 losses shown. The immediate effect is a net PnL change of −6 wins and −4 losses, but with no capital deployed, the realized PnL would be flat (0) versus the actual +2 net wins. The win-rate improvement in the backtest is not observable here because the filter would have blocked all activity, not just the losers. OVER-TIME PROJECTION: Over 3–6 months, this filter would drastically reduce trade frequency (likely by 60–80% of current entries), concentrating risk into a narrow 2.5-hour daily window. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com