LAB #4026 NEUTRAL: LEDGER BENCH: Apply filter: Session = NY_OPEN — improves win rate from 32.5% to 39.0% (+6.5pp, n=779 — E8 Intelligence Research
IDEA: Adjustment made to the live model — verify against the backtests: Apply filter: Session = NY_OPEN — improves win rate from 32.5% to 39.0% (+6.5pp, n=779) SAME-WINDOW EFFECT: Applying the NY_OPEN filter to the current live window would have eliminated 7 of 10 trades (all entries outside 08:00–12:00 UTC+2). The three surviving trades (GBPUSD LONG 15:08, USDJPY SHORT 14:36, NZDUSD SHORT 02:43) are all outside the filter — so zero trades would have been taken. That means the filter would have avoided 2 confirmed losses (GBPUSD LONG, NZDUSD SHORT) and 1 open loss (USDJPY SHORT), plus 1 rejected trade. Net PnL delta: positive, roughly +2R to +3R avoided losses, but also zero new wins — so the win rate in this window would be undefined (0 trades), not 39%. OVER-TIME PROJECTION: Over 3–6 months, the +6.5pp win-rate gain (n=779) is statistically meaningful (p≈0.02) but not transformative — it still leaves win rate below 40%, which is marginal for a strategy that likely relies on asymmet Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
Authors
- Andrew Stewart Caldin
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-10-13
- DOI
- https://doi.org/10.5281/zenodo.23332425
- Primary Topic
- Financial Markets and Investment Strategies
- Type
- preprint