LAB #2882 HARMFUL: LEDGER BENCH: Apply filter: Session = NY_OPEN — improves win rate from 31.1% to 37.2% (+6.0pp, n=646 — E8 Intelligence Research

IDEA: Adjustment made to the live model — verify against the backtests: Apply filter: Session = NY_OPEN — improves win rate from 31.1% to 37.2% (+6.0pp, n=646) SAME-WINDOW EFFECT: Applying the NY_OPEN filter to the 10 live trades above would have excluded all trades entered at 10:10, 10:30, 11:00, 11:15, 11:20, 11:23, and 11:35 (all timestamps are in +02:00, which corresponds to 08:10–09:35 UTC — not NY open, which is 13:30–14:30 UTC). That removes 9 of 10 trades, leaving only the XAUUSD LONG at 10:10 (also excluded). So the filter would have eliminated every trade in this window — including 5 winners and 2 losers — resulting in zero trades and zero PnL. The backtested +6.0pp win-rate gain is not observable here; it would have produced a flat, inactive session, not an improvement. OVER-TIME PROJECTION: Over 3–6 months, this filter would drastically reduce trade frequency (likely by >80% if applied to all sessions), concentrating risk into a narrow 1-hour window. The +6.0pp win-rate g 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
2026-09-30
DOI
https://doi.org/10.5281/zenodo.23052226
Primary Topic
Intelligence, Security, War Strategy
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
preprint

LAB #2882 HARMFUL: LEDGER BENCH: Apply filter: Session = NY_OPEN — improves win rate from 31.1% to 37.2% (+6.0pp, n=646 — E8 Intelligence Research

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

LAB #2882 HARMFUL: LEDGER BENCH: Apply filter: Session = NY_OPEN — improves win rate from 31.1% to 37.2% (+6.0pp, n=646 — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

IDEA: Adjustment made to the live model — verify against the backtests: Apply filter: Session = NY_OPEN — improves win rate from 31.1% to 37.2% (+6.0pp, n=646) SAME-WINDOW EFFECT: Applying the NY_OPEN filter to the 10 live trades above would have excluded all trades entered at 10:10, 10:30, 11:00, 11:15, 11:20, 11:23, and 11:35 (all timestamps are in +02:00, which corresponds to 08:10–09:35 UTC — not NY open, which is 13:30–14:30 UTC). That removes 9 of 10 trades, leaving only the XAUUSD LONG at 10:10 (also excluded). So the filter would have eliminated every trade in this window — including 5 winners and 2 losers — resulting in zero trades and zero PnL. The backtested +6.0pp win-rate gain is not observable here; it would have produced a flat, inactive session, not an improvement. OVER-TIME PROJECTION: Over 3–6 months, this filter would drastically reduce trade frequency (likely by >80% if applied to all sessions), concentrating risk into a narrow 1-hour window. The +6.0pp win-rate g 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
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.

LAB #2882 HARMFUL: LEDGER BENCH: Apply filter: Session = NY_OPEN — improves win rate from 31.1% to 37.2% (+6.0pp, n=646 — E8 Intelligence Research — Andrew Stewart Caldin · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS