LAB #4814 NEUTRAL: LEDGER BENCH: Apply filter: Session = LONDON — improves win rate from 31.8% to 34.8% (+2.9pp, n=23) — E8 Intelligence Research

IDEA: Adjustment made to the live model — verify against the backtests: Apply filter: Session = LONDON — improves win rate from 31.8% to 34.8% (+2.9pp, n=23) SAME-WINDOW EFFECT: Of the 10 live trades in the window, the London-session filter would have excluded the 11:39–11:45+02:00 cluster (NZDUSD, GBPUSD, EURUSD rizzy7m — all REJECTED/open) and the 10:25–10:55 entries depending on exact London boundary definition, leaving roughly 3–5 trades. The two closed losers (XAUUSD 11:05, AUDUSD 10:38) sit inside London hours, so the filter would NOT have removed them — the +2.9pp claim is not demonstrated by this window. Net effect here is fewer trades, same losers, and a sample too small to confirm any win-rate delta. OVER-TIME PROJECTION: A +2.9pp edge on n=23 is statistically indistinguishable from noise (95% CI spans roughly −10pp to +16pp); adopting it live risks curve-fitting to a single session slice. Over 3–6 months the filter will cut trade count materially, which reduces compounding 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
2026-10-29
DOI
https://doi.org/10.5281/zenodo.23756193
Primary Topic
Financial Markets and Investment Strategies
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

LAB #4814 NEUTRAL: LEDGER BENCH: Apply filter: Session = LONDON — improves win rate from 31.8% to 34.8% (+2.9pp, n=23) — E8 Intelligence Research

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

LAB #4814 NEUTRAL: LEDGER BENCH: Apply filter: Session = LONDON — improves win rate from 31.8% to 34.8% (+2.9pp, n=23) — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

IDEA: Adjustment made to the live model — verify against the backtests: Apply filter: Session = LONDON — improves win rate from 31.8% to 34.8% (+2.9pp, n=23) SAME-WINDOW EFFECT: Of the 10 live trades in the window, the London-session filter would have excluded the 11:39–11:45+02:00 cluster (NZDUSD, GBPUSD, EURUSD rizzy7m — all REJECTED/open) and the 10:25–10:55 entries depending on exact London boundary definition, leaving roughly 3–5 trades. The two closed losers (XAUUSD 11:05, AUDUSD 10:38) sit inside London hours, so the filter would NOT have removed them — the +2.9pp claim is not demonstrated by this window. Net effect here is fewer trades, same losers, and a sample too small to confirm any win-rate delta. OVER-TIME PROJECTION: A +2.9pp edge on n=23 is statistically indistinguishable from noise (95% CI spans roughly −10pp to +16pp); adopting it live risks curve-fitting to a single session slice. Over 3–6 months the filter will cut trade count materially, which reduces compounding 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.

Laika access coming soon
LAB #4814 NEUTRAL: LEDGER BENCH: Apply filter: Session = LONDON — improves win rate from 31.8% to 34.8% (+2.9pp, n=23) — E8 Intelligence Research — Andrew Stewart Caldin · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS