LAB #2340 NEUTRAL: LEDGER BENCH: Apply filter: Phase distance MODERATE (5-10deg) — improves win rate from 31.2% to 32.7 — E8 Intelligence Research

IDEA: Adjustment made to the live model — verify against the backtests: Apply filter: Phase distance MODERATE (5-10deg) — improves win rate from 31.2% to 32.7% (+1.5pp, n=162) SAME-WINDOW EFFECT: Over the 10 live trades shown, applying a MODERATE phase-distance filter (5-10°) would have excluded signals firing outside that band. Based on the backtest lift (+1.5pp win rate), roughly 1-2 of the 6 losses (USDJPY, GBPUSD, XAUUSD shorts) likely fell outside the band, potentially converting one loss to a win — net PnL delta roughly +0.5R to +1.0R on this small sample. However, the filter would also have excluded at least one winner (likely EURJPY LONG or AUDUSD LONG), so the net effect is marginal and within noise for n=10. OVER-TIME PROJECTION: Over 3-6 months, a +1.5pp win-rate improvement on ~160 trades translates to ~2-3 additional wins — but with no change in average risk/reward, the expected PnL gain is small (roughly +2-4% of total R). The main risk is overfitting to a narrow phase 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
2026-09-17
DOI
https://doi.org/10.5281/zenodo.22805865
Primary Topic
Intelligence, Security, War Strategy
Type
preprint
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LAB #2340 NEUTRAL: LEDGER BENCH: Apply filter: Phase distance MODERATE (5-10deg) — improves win rate from 31.2% to 32.7 — E8 Intelligence Research

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

LAB #2340 NEUTRAL: LEDGER BENCH: Apply filter: Phase distance MODERATE (5-10deg) — improves win rate from 31.2% to 32.7 — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

IDEA: Adjustment made to the live model — verify against the backtests: Apply filter: Phase distance MODERATE (5-10deg) — improves win rate from 31.2% to 32.7% (+1.5pp, n=162) SAME-WINDOW EFFECT: Over the 10 live trades shown, applying a MODERATE phase-distance filter (5-10°) would have excluded signals firing outside that band. Based on the backtest lift (+1.5pp win rate), roughly 1-2 of the 6 losses (USDJPY, GBPUSD, XAUUSD shorts) likely fell outside the band, potentially converting one loss to a win — net PnL delta roughly +0.5R to +1.0R on this small sample. However, the filter would also have excluded at least one winner (likely EURJPY LONG or AUDUSD LONG), so the net effect is marginal and within noise for n=10. OVER-TIME PROJECTION: Over 3-6 months, a +1.5pp win-rate improvement on ~160 trades translates to ~2-3 additional wins — but with no change in average risk/reward, the expected PnL gain is small (roughly +2-4% of total R). The main risk is overfitting to a narrow phase Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Zenodo (CERN European Organization for Nuclear Research)
Decent work and economic growth
Intelligence, Security, War Strategy
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LAB #2340 NEUTRAL: LEDGER BENCH: Apply filter: Phase distance MODERATE (5-10deg) — improves win rate from 31.2% to 32.7 — E8 Intelligence Research — Andrew Stewart Caldin · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS