LAB #2114 NEUTRAL: LEDGER BENCH: Apply filter: Session = LONDON_OPEN — improves win rate from 32.0% to 32.8% (+0.7pp, n — E8 Intelligence Research

IDEA: Adjustment made to the live model — verify against the backtests: Apply filter: Session = LONDON_OPEN — improves win rate from 32.0% to 32.8% (+0.7pp, n=232) SAME-WINDOW EFFECT: Over the current 10-trade window, the LONDON_OPEN filter (roughly 07:00–09:00 UTC, i.e., 09:00–11:00 CEST) would have removed the 2026-08-03 GBPUSD SHORT (11:00 CEST, borderline) and the 2026-07-31 XAUUSD SHORT (09:55 CEST, just inside), but kept the 2026-07-31 EURJPY SHORT (10:35) and most others. Removing the two losses (−1) and keeping the wins would flip the window from 4W/6L to 4W/4L, raising win rate from 40% to 50% — a +10pp swing, far larger than the backtest's +0.7pp, suggesting the filter's effect is highly sample-sensitive. Net PnL delta would be positive (avoiding two full losses), but the small n means this is noise, not signal. OVER-TIME PROJECTION: Over 3–6 months, the +0.7pp improvement (32.0→32.8%) is marginal and likely within sampling error for n=232 (standard error ~3.3pp). The filte 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
2026-09-13
DOI
https://doi.org/10.5281/zenodo.22732539
Primary Topic
Intelligence, Security, War Strategy
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
preprint

LAB #2114 NEUTRAL: LEDGER BENCH: Apply filter: Session = LONDON_OPEN — improves win rate from 32.0% to 32.8% (+0.7pp, n — E8 Intelligence Research

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

LAB #2114 NEUTRAL: LEDGER BENCH: Apply filter: Session = LONDON_OPEN — improves win rate from 32.0% to 32.8% (+0.7pp, n — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

IDEA: Adjustment made to the live model — verify against the backtests: Apply filter: Session = LONDON_OPEN — improves win rate from 32.0% to 32.8% (+0.7pp, n=232) SAME-WINDOW EFFECT: Over the current 10-trade window, the LONDON_OPEN filter (roughly 07:00–09:00 UTC, i.e., 09:00–11:00 CEST) would have removed the 2026-08-03 GBPUSD SHORT (11:00 CEST, borderline) and the 2026-07-31 XAUUSD SHORT (09:55 CEST, just inside), but kept the 2026-07-31 EURJPY SHORT (10:35) and most others. Removing the two losses (−1) and keeping the wins would flip the window from 4W/6L to 4W/4L, raising win rate from 40% to 50% — a +10pp swing, far larger than the backtest's +0.7pp, suggesting the filter's effect is highly sample-sensitive. Net PnL delta would be positive (avoiding two full losses), but the small n means this is noise, not signal. OVER-TIME PROJECTION: Over 3–6 months, the +0.7pp improvement (32.0→32.8%) is marginal and likely within sampling error for n=232 (standard error ~3.3pp). The filte 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
Intelligence, Security, War Strategy
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.