LAB #359 NEUTRAL: LEDGER BENCH: Apply filter: USDCHF LONG @ NY_OPEN with 6 conf — improves win rate from 32.4% to 71.4 — E8 Intelligence Research

IDEA: Adjustment made to the live model — verify against the backtests: Apply filter: USDCHF LONG @ NY_OPEN with 6 conf — improves win rate from 32.4% to 71.4% (+39.1pp, n=14) SAME-WINDOW EFFECT: Over the current trade window, the USDCHF LONG @ NY_OPEN with 6 conf filter would have directly conflicted with the live USDCHF SHORT via rizzy5m that closed as a win. If this filter had been active, it would have blocked that short entry, preventing a +win but also avoiding any potential long entry that might have occurred at NY_OPEN. Given the small sample (n=14), the +39.1pp win rate improvement is statistically fragile, and in this specific window, the net effect would likely be neutral to slightly negative, as the blocked short win is not offset by a confirmed long win. OVER-TIME PROJECTION: Over 3-6 months, this filter could produce a meaningful win-rate improvement if the 71.4% holds, but the tiny sample (n=14) means high variance risk. The filter is highly specific (USDCHF, LONG, NY_ 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
2026-07-30
DOI
https://doi.org/10.5281/zenodo.21697863
Primary Topic
Competitive and Knowledge Intelligence
Type
preprint
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LAB #359 NEUTRAL: LEDGER BENCH: Apply filter: USDCHF LONG @ NY_OPEN with 6 conf — improves win rate from 32.4% to 71.4 — E8 Intelligence Research

Andrew Stewart Caldin
Zenodo (CERN European Organization for Nuclear Research)
Competitive and Knowledge Intelligence
preprint

LAB #359 NEUTRAL: LEDGER BENCH: Apply filter: USDCHF LONG @ NY_OPEN with 6 conf — improves win rate from 32.4% to 71.4 — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

IDEA: Adjustment made to the live model — verify against the backtests: Apply filter: USDCHF LONG @ NY_OPEN with 6 conf — improves win rate from 32.4% to 71.4% (+39.1pp, n=14) SAME-WINDOW EFFECT: Over the current trade window, the USDCHF LONG @ NY_OPEN with 6 conf filter would have directly conflicted with the live USDCHF SHORT via rizzy5m that closed as a win. If this filter had been active, it would have blocked that short entry, preventing a +win but also avoiding any potential long entry that might have occurred at NY_OPEN. Given the small sample (n=14), the +39.1pp win rate improvement is statistically fragile, and in this specific window, the net effect would likely be neutral to slightly negative, as the blocked short win is not offset by a confirmed long win. OVER-TIME PROJECTION: Over 3-6 months, this filter could produce a meaningful win-rate improvement if the 71.4% holds, but the tiny sample (n=14) means high variance risk. The filter is highly specific (USDCHF, LONG, NY_ Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Zenodo (CERN European Organization for Nuclear Research)
Competitive and Knowledge Intelligence
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LAB #359 NEUTRAL: LEDGER BENCH: Apply filter: USDCHF LONG @ NY_OPEN with 6 conf — improves win rate from 32.4% to 71.4 — E8 Intelligence Research — Andrew Stewart Caldin · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS