MODEL ADOPTION #287: REJECT — LEDGER BENCH: Apply filter: Phase distance FAR (>10deg) — improves win rate from 32.3% to — E8 Intelligence Research

DECISION: REJECT ELEMENT: Phase distance FAR (>10deg) filter for fade_h4 entries EXPECTED IMPACT: +0.3pp win-rate gain is within noise band for n=648; likely zero or negative in live due to selection bias from backtest regime. RISK: Rejects high-reward fade setups in volatile regimes where phase distance is compressed but polarity is strong; also adds complexity without proven edge. TEST: Replay-bench on last 12 months of live data: apply filter to all fade_h4 entries, require >200 trades per group, and demand win-rate improvement >1.0pp with 95% confidence before any live inclusion. 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
2026-07-28
DOI
https://doi.org/10.5281/zenodo.21637204
Primary Topic
Advanced Photonic Communication Systems
Type
preprint
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MODEL ADOPTION #287: REJECT — LEDGER BENCH: Apply filter: Phase distance FAR (>10deg) — improves win rate from 32.3% to — E8 Intelligence Research

Andrew Stewart Caldin
Zenodo (CERN European Organization for Nuclear Research)
Advanced Photonic Communication Systems
preprint

MODEL ADOPTION #287: REJECT — LEDGER BENCH: Apply filter: Phase distance FAR (>10deg) — improves win rate from 32.3% to — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

DECISION: REJECT ELEMENT: Phase distance FAR (>10deg) filter for fade_h4 entries EXPECTED IMPACT: +0.3pp win-rate gain is within noise band for n=648; likely zero or negative in live due to selection bias from backtest regime. RISK: Rejects high-reward fade setups in volatile regimes where phase distance is compressed but polarity is strong; also adds complexity without proven edge. TEST: Replay-bench on last 12 months of live data: apply filter to all fade_h4 entries, require >200 trades per group, and demand win-rate improvement >1.0pp with 95% confidence before any live inclusion. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Zenodo (CERN European Organization for Nuclear Research)
Reduced inequalities
Advanced Photonic Communication Systems
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MODEL ADOPTION #287: REJECT — LEDGER BENCH: Apply filter: Phase distance FAR (>10deg) — improves win rate from 32.3% to — E8 Intelligence Research — Andrew Stewart Caldin · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS