LAB #2692 PROMISING: LEDGER BENCH: Apply filter: Pool density HIGH (>=90) — improves win rate from 30.9% to 32.5% (+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 30.9% to 32.5% (+1.6pp, n=1417) SAME-WINDOW EFFECT: Applying the pool-density filter (≥90) would have excluded trades triggered during low-density windows. In the current 10-trade window, 7 of 10 trades are rizzy5m/7m entries; if any of these occurred when pool density was below 90, they would be skipped. Based on the backtest delta (+1.6pp win rate), you'd expect roughly 0–1 additional wins in this small sample, but the actual PnL effect is ambiguous — the two losses (XAUUSD SHORT, USDJPY SHORT) might be filtered out if they were low-density, which would improve the window from 6W/4L to 6W/2L or better. However, one winning GBPUSD SHORT could also be removed, offsetting gains. Net expected delta: +0 to +0.5 wins over this window, with PnL impact roughly neutral to slightly positive. OVER-TIME PROJECTION: Over 3–6 months, a +1.6pp win-rate improvemen 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
2026-09-25
DOI
https://doi.org/10.5281/zenodo.22951920
Primary Topic
Competitive and Knowledge Intelligence
Type
preprint
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LAB #2692 PROMISING: LEDGER BENCH: Apply filter: Pool density HIGH (>=90) — improves win rate from 30.9% to 32.5% (+1.6pp — E8 Intelligence Research

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

LAB #2692 PROMISING: LEDGER BENCH: Apply filter: Pool density HIGH (>=90) — improves win rate from 30.9% to 32.5% (+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 30.9% to 32.5% (+1.6pp, n=1417) SAME-WINDOW EFFECT: Applying the pool-density filter (≥90) would have excluded trades triggered during low-density windows. In the current 10-trade window, 7 of 10 trades are rizzy5m/7m entries; if any of these occurred when pool density was below 90, they would be skipped. Based on the backtest delta (+1.6pp win rate), you'd expect roughly 0–1 additional wins in this small sample, but the actual PnL effect is ambiguous — the two losses (XAUUSD SHORT, USDJPY SHORT) might be filtered out if they were low-density, which would improve the window from 6W/4L to 6W/2L or better. However, one winning GBPUSD SHORT could also be removed, offsetting gains. Net expected delta: +0 to +0.5 wins over this window, with PnL impact roughly neutral to slightly positive. OVER-TIME PROJECTION: Over 3–6 months, a +1.6pp win-rate improvemen 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 #2692 PROMISING: LEDGER BENCH: Apply filter: Pool density HIGH (>=90) — improves win rate from 30.9% to 32.5% (+1.6pp — E8 Intelligence Research — Andrew Stewart Caldin · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS