LAB #2679 NEUTRAL: LEDGER BENCH: Apply filter: GBPUSD LONG — improves win rate from 31.1% to 34.6% (+3.5pp, n=52) — E8 Intelligence Research

IDEA: Adjustment made to the live model — verify against the backtests: Apply filter: GBPUSD LONG — improves win rate from 31.1% to 34.6% (+3.5pp, n=52) SAME-WINDOW EFFECT: Over the current live window, applying a GBPUSD LONG-only filter would have blocked all 4 GBPUSD SHORT trades (2 wins, 2 losses), removing 2 wins and 2 losses from the sample. Net PnL impact is roughly neutral on raw win count, but it would have eliminated the two losing GBPUSD shorts (1.34508 and 1.34508) while also removing two winners — net win-rate change is approximately 0pp on this small window. However, it would also have removed the two GBPUSD SHORT wins that contributed positively to recent performance, so the immediate effect is wash-like, not clearly beneficial. The +3.5pp backtest gain is not visible here because the filter is direction-specific and the live window is dominated by shorts in that pair. OVER-TIME PROJECTION: Over 3–6 months, a GBPUSD LONG-only filter could reduce drawdown if the edge is 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.22951635
Primary Topic
Intelligence, Security, War Strategy
Type
preprint
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LAB #2679 NEUTRAL: LEDGER BENCH: Apply filter: GBPUSD LONG — improves win rate from 31.1% to 34.6% (+3.5pp, n=52) — E8 Intelligence Research

Andrew Stewart Caldin
Zenodo (CERN European Organization for Nuclear Research)
Intelligence, Security, War Strategy
preprint

LAB #2679 NEUTRAL: LEDGER BENCH: Apply filter: GBPUSD LONG — improves win rate from 31.1% to 34.6% (+3.5pp, n=52) — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

IDEA: Adjustment made to the live model — verify against the backtests: Apply filter: GBPUSD LONG — improves win rate from 31.1% to 34.6% (+3.5pp, n=52) SAME-WINDOW EFFECT: Over the current live window, applying a GBPUSD LONG-only filter would have blocked all 4 GBPUSD SHORT trades (2 wins, 2 losses), removing 2 wins and 2 losses from the sample. Net PnL impact is roughly neutral on raw win count, but it would have eliminated the two losing GBPUSD shorts (1.34508 and 1.34508) while also removing two winners — net win-rate change is approximately 0pp on this small window. However, it would also have removed the two GBPUSD SHORT wins that contributed positively to recent performance, so the immediate effect is wash-like, not clearly beneficial. The +3.5pp backtest gain is not visible here because the filter is direction-specific and the live window is dominated by shorts in that pair. OVER-TIME PROJECTION: Over 3–6 months, a GBPUSD LONG-only filter could reduce drawdown if the edge is Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Zenodo (CERN European Organization for Nuclear Research)
Intelligence, Security, War Strategy
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LAB #2679 NEUTRAL: LEDGER BENCH: Apply filter: GBPUSD LONG — improves win rate from 31.1% to 34.6% (+3.5pp, n=52) — E8 Intelligence Research — Andrew Stewart Caldin · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS