LAB #4867 NEUTRAL: LEDGER BENCH: Apply filter: Phase distance TIGHT (<=2deg) — improves win rate from 31.9% to 36.3% (+ — E8 Intelligence Research

IDEA: Adjustment made to the live model — verify against the backtests: Apply filter: Phase distance TIGHT (<=2deg) — improves win rate from 31.9% to 36.3% (+4.4pp, n=642) SAME-WINDOW EFFECT: The filter would have acted on the 10-trade window by rejecting any setup whose phase distance exceeded 2°, but the ledger gives no phase-distance values per trade, so the affected set is unidentifiable from the facts provided. What is visible: 3 CLOSED/LOSS, 2 CLOSED/WIN, and 5 REJECTED/open — a 2/5 = 40% win rate on closed trades, already above the 36.3% filtered backtest rate, so the filter would have had little room to improve this specific window and could easily have removed one of the two winners. With n=5 closed trades, any delta is noise; the +4.4pp claim cannot be validated or refuted against this window. OVER-TIME PROJECTION: Over 3–6 months, a +4.4pp win-rate lift on n=642 is modest but not trivial — however, the GTX 30-day distribution (152 WIN_TP2 vs 298 LOSS vs 16 BE) implies a ~3 Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-30
DOI
https://doi.org/10.5281/zenodo.23796705
Primary Topic
Financial Markets and Investment Strategies
Type
preprint
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LAB #4867 NEUTRAL: LEDGER BENCH: Apply filter: Phase distance TIGHT (<=2deg) — improves win rate from 31.9% to 36.3% (+ — E8 Intelligence Research

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

LAB #4867 NEUTRAL: LEDGER BENCH: Apply filter: Phase distance TIGHT (<=2deg) — improves win rate from 31.9% to 36.3% (+ — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

IDEA: Adjustment made to the live model — verify against the backtests: Apply filter: Phase distance TIGHT (<=2deg) — improves win rate from 31.9% to 36.3% (+4.4pp, n=642) SAME-WINDOW EFFECT: The filter would have acted on the 10-trade window by rejecting any setup whose phase distance exceeded 2°, but the ledger gives no phase-distance values per trade, so the affected set is unidentifiable from the facts provided. What is visible: 3 CLOSED/LOSS, 2 CLOSED/WIN, and 5 REJECTED/open — a 2/5 = 40% win rate on closed trades, already above the 36.3% filtered backtest rate, so the filter would have had little room to improve this specific window and could easily have removed one of the two winners. With n=5 closed trades, any delta is noise; the +4.4pp claim cannot be validated or refuted against this window. OVER-TIME PROJECTION: Over 3–6 months, a +4.4pp win-rate lift on n=642 is modest but not trivial — however, the GTX 30-day distribution (152 WIN_TP2 vs 298 LOSS vs 16 BE) implies a ~3 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
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