LAB #2625 PROMISING: LEDGER BENCH: Apply filter: Pool density HIGH (>=90) — improves win rate from 31.0% to 32.6% (+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 31.0% to 32.6% (+1.6pp, n=1413) SAME-WINDOW EFFECT: Applying the pool density ≥90 filter to the 10 live trades above would have excluded trades lacking that density context. Based on the backtest, you'd expect roughly 1.6pp win-rate improvement, translating to ~0.16 additional wins in this small sample — likely flipping one borderline loss to a win (e.g., the GBPUSD SHORT on 08-03 or XAUUSD SHORT on 07-31). PnL delta would be modest, roughly +0.5R to +1.0R, but the sample is too small to confirm statistical significance. The filter would not have rejected any of the current winners, so downside risk in this window is minimal. OVER-TIME PROJECTION: Over 3–6 months, a +1.6pp win-rate gain on ~1,400 trades suggests ~22 additional wins, but this comes at the cost of reduced trade frequency — you'll skip lower-density setups that may include some winners. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-24
DOI
https://doi.org/10.5281/zenodo.22931125
Primary Topic
Competitive and Knowledge Intelligence
Type
preprint
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LAB #2625 PROMISING: LEDGER BENCH: Apply filter: Pool density HIGH (>=90) — improves win rate from 31.0% to 32.6% (+1.6pp — E8 Intelligence Research

Andrew Stewart Caldin
Zenodo (CERN European Organization for Nuclear Research)
Competitive and Knowledge Intelligence
preprint

LAB #2625 PROMISING: LEDGER BENCH: Apply filter: Pool density HIGH (>=90) — improves win rate from 31.0% to 32.6% (+1.6pp — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

IDEA: Adjustment made to the live model — verify against the backtests: Apply filter: Pool density HIGH (>=90) — improves win rate from 31.0% to 32.6% (+1.6pp, n=1413) SAME-WINDOW EFFECT: Applying the pool density ≥90 filter to the 10 live trades above would have excluded trades lacking that density context. Based on the backtest, you'd expect roughly 1.6pp win-rate improvement, translating to ~0.16 additional wins in this small sample — likely flipping one borderline loss to a win (e.g., the GBPUSD SHORT on 08-03 or XAUUSD SHORT on 07-31). PnL delta would be modest, roughly +0.5R to +1.0R, but the sample is too small to confirm statistical significance. The filter would not have rejected any of the current winners, so downside risk in this window is minimal. OVER-TIME PROJECTION: Over 3–6 months, a +1.6pp win-rate gain on ~1,400 trades suggests ~22 additional wins, but this comes at the cost of reduced trade frequency — you'll skip lower-density setups that may include some winners. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Zenodo (CERN European Organization for Nuclear Research)
Decent work and economic growth
Competitive and Knowledge Intelligence
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LAB #2625 PROMISING: LEDGER BENCH: Apply filter: Pool density HIGH (>=90) — improves win rate from 31.0% to 32.6% (+1.6pp — E8 Intelligence Research — Andrew Stewart Caldin · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS