LAB #4032 NEUTRAL: LEDGER BENCH: Apply filter: USDCHF LONG — improves win rate from 32.5% to 38.7% (+6.2pp, n=142) — E8 Intelligence Research

IDEA: Adjustment made to the live model — verify against the backtests: Apply filter: USDCHF LONG — improves win rate from 32.5% to 38.7% (+6.2pp, n=142) SAME-WINDOW EFFECT: Applying a USDCHF LONG-only filter would have had zero direct impact on the current live window, as none of the 10 listed trades are USDCHF. The filter would not have blocked or altered any of the existing GBPUSD, USDJPY, NZDUSD, AUDUSD, XAUUSD, or EURJPY positions. Therefore, the claimed +6.2pp win-rate improvement would not translate into any PnL delta here — the window is entirely unaffected. The only indirect effect would be a reduction in future trade frequency if USDCHF LONG signals were previously being taken and losing. OVER-TIME PROJECTION: Over 3–6 months, a USDCHF LONG-only filter could plausibly improve aggregate win rate if the underlying edge is real and not a product of overfitting to a specific regime (e.g., USD strength or CHF weakness during the backtest period). However, the sample size (n=142) 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
2026-10-13
DOI
https://doi.org/10.5281/zenodo.23332551
Primary Topic
Financial Markets and Investment Strategies
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

LAB #4032 NEUTRAL: LEDGER BENCH: Apply filter: USDCHF LONG — improves win rate from 32.5% to 38.7% (+6.2pp, n=142) — E8 Intelligence Research

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

LAB #4032 NEUTRAL: LEDGER BENCH: Apply filter: USDCHF LONG — improves win rate from 32.5% to 38.7% (+6.2pp, n=142) — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

IDEA: Adjustment made to the live model — verify against the backtests: Apply filter: USDCHF LONG — improves win rate from 32.5% to 38.7% (+6.2pp, n=142) SAME-WINDOW EFFECT: Applying a USDCHF LONG-only filter would have had zero direct impact on the current live window, as none of the 10 listed trades are USDCHF. The filter would not have blocked or altered any of the existing GBPUSD, USDJPY, NZDUSD, AUDUSD, XAUUSD, or EURJPY positions. Therefore, the claimed +6.2pp win-rate improvement would not translate into any PnL delta here — the window is entirely unaffected. The only indirect effect would be a reduction in future trade frequency if USDCHF LONG signals were previously being taken and losing. OVER-TIME PROJECTION: Over 3–6 months, a USDCHF LONG-only filter could plausibly improve aggregate win rate if the underlying edge is real and not a product of overfitting to a specific regime (e.g., USD strength or CHF weakness during the backtest period). However, the sample size (n=142) 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.