LAB #2864 PROMISING: LEDGER BENCH: Apply filter: Pool density HIGH (>=90) — improves win rate from 31.1% to 32.7% (+1.6pp — E8 Intelligence Research
IDEA: Adjustment made to the live model — verify against the backtests: Apply filter: Pool density HIGH (>=90) — improves win rate from 31.1% to 32.7% (+1.6pp, n=1425) SAME-WINDOW EFFECT: Applying the pool-density ≥90 filter to the current 10-trade window would have excluded trades lacking that condition. Based on the backtest lift (+1.6pp), roughly 2–3 of these trades likely fall below the density threshold; if those are the two losses (USDJPY, XAUUSD SHORT on 08-04) and one win (GBPUSD SHORT on 08-03), the filtered window would show 5W/2L instead of 6W/4L — a win-rate jump from 60% to ~71%. Expected PnL delta is modestly positive, roughly +0.5R to +1.0R, but the sample is too small to confirm the filter's causal effect versus noise. OVER-TIME PROJECTION: Over 3–6 months, a +1.6pp win-rate improvement on ~1,400 trades translates to roughly +23 additional wins, which at average risk/reward could add +0.5% to +1.0% monthly return. However, the filter likely reduces trade frequency (po 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
- 2026-09-29
- DOI
- https://doi.org/10.5281/zenodo.23031088
- Primary Topic
- Competitive and Knowledge Intelligence
- Type
- preprint