LAB #4076 NEUTRAL: LEDGER BENCH: Apply filter: USDCHF SHORT @ OFF_SESSION with 6 conf — improves win rate from 32.6% to — E8 Intelligence Research

IDEA: Adjustment made to the live model — verify against the backtests: Apply filter: USDCHF SHORT @ OFF_SESSION with 6 conf — improves win rate from 32.6% to 66.7% (+34.1pp, n=6) SAME-WINDOW EFFECT: Over the current live window, no USDCHF SHORT trades were taken by any engine, so this filter would have changed nothing in the observed trades. The claimed +34.1pp win-rate improvement is derived from only 6 backtest samples — statistically fragile, with a 95% confidence interval roughly spanning from ~22% to ~95% win rate. PnL delta in this window would be zero, as the filter neither adds nor removes any existing positions. The only indirect effect would be a false sense of validation if you mistake this tiny sample for a robust edge. OVER-TIME PROJECTION: Over 3–6 months, this filter would likely produce a near-zero net effect on overall equity, because USDCHF SHORT off-session setups are rare (likely <1–2 per month given your engine cadence). With n=6, the observed 66.7% win rate 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
2026-10-14
DOI
https://doi.org/10.5281/zenodo.23358825
Primary Topic
Financial Markets and Investment Strategies
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

LAB #4076 NEUTRAL: LEDGER BENCH: Apply filter: USDCHF SHORT @ OFF_SESSION with 6 conf — improves win rate from 32.6% to — E8 Intelligence Research

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

LAB #4076 NEUTRAL: LEDGER BENCH: Apply filter: USDCHF SHORT @ OFF_SESSION with 6 conf — improves win rate from 32.6% to — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

IDEA: Adjustment made to the live model — verify against the backtests: Apply filter: USDCHF SHORT @ OFF_SESSION with 6 conf — improves win rate from 32.6% to 66.7% (+34.1pp, n=6) SAME-WINDOW EFFECT: Over the current live window, no USDCHF SHORT trades were taken by any engine, so this filter would have changed nothing in the observed trades. The claimed +34.1pp win-rate improvement is derived from only 6 backtest samples — statistically fragile, with a 95% confidence interval roughly spanning from ~22% to ~95% win rate. PnL delta in this window would be zero, as the filter neither adds nor removes any existing positions. The only indirect effect would be a false sense of validation if you mistake this tiny sample for a robust edge. OVER-TIME PROJECTION: Over 3–6 months, this filter would likely produce a near-zero net effect on overall equity, because USDCHF SHORT off-session setups are rare (likely <1–2 per month given your engine cadence). With n=6, the observed 66.7% win rate 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)
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.