LAB #4057 NEUTRAL: LEDGER BENCH: Apply filter: Pool density HIGH (>=90) — improves win rate from 32.5% to 34.0% (+1.5pp — E8 Intelligence Research

IDEA: Adjustment made to the live model — verify against the backtests: Apply filter: Pool density HIGH (>=90) — improves win rate from 32.5% to 34.0% (+1.5pp, n=1817) SAME-WINDOW EFFECT: Applying a pool-density filter (≥90) would have excluded the majority of the listed live trades, as most entries (wkjudas and rizzy5m/7m) appear to originate from lower-density pools. Specifically, the two rizzy5m losses (NZDUSD, XAUUSD) and the wkjudas GBPUSD loss would likely have been filtered out, while the two wins (GBPUSD rizzy5m, EURUSD rizzy7m) might also be excluded if their pool density was below threshold. Net effect on this small sample is ambiguous—removing both wins and losses could leave PnL roughly flat, but the +1.5pp win-rate improvement from backtest suggests a modest positive shift if the filter selectively removes low-probability entries. Expected PnL delta here is near zero to slightly positive, but not statistically meaningful at n=10. OVER-TIME PROJECTION: Over 3–6 months, a 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
2026-10-14
DOI
https://doi.org/10.5281/zenodo.23357670
Primary Topic
Financial Markets and Investment Strategies
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

LAB #4057 NEUTRAL: LEDGER BENCH: Apply filter: Pool density HIGH (>=90) — improves win rate from 32.5% to 34.0% (+1.5pp — E8 Intelligence Research

Andrew Stewart Caldin
Zenodo (CERN European Organization for Nuclear Research)
Financial Markets and Investment Strategies
preprint

LAB #4057 NEUTRAL: LEDGER BENCH: Apply filter: Pool density HIGH (>=90) — improves win rate from 32.5% to 34.0% (+1.5pp — 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 32.5% to 34.0% (+1.5pp, n=1817) SAME-WINDOW EFFECT: Applying a pool-density filter (≥90) would have excluded the majority of the listed live trades, as most entries (wkjudas and rizzy5m/7m) appear to originate from lower-density pools. Specifically, the two rizzy5m losses (NZDUSD, XAUUSD) and the wkjudas GBPUSD loss would likely have been filtered out, while the two wins (GBPUSD rizzy5m, EURUSD rizzy7m) might also be excluded if their pool density was below threshold. Net effect on this small sample is ambiguous—removing both wins and losses could leave PnL roughly flat, but the +1.5pp win-rate improvement from backtest suggests a modest positive shift if the filter selectively removes low-probability entries. Expected PnL delta here is near zero to slightly positive, but not statistically meaningful at n=10. OVER-TIME PROJECTION: Over 3–6 months, a Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Zenodo (CERN European Organization for Nuclear Research)
Financial Markets and Investment Strategies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.