E8 Phi‑Phase Filter Harmonics for Session‑Specific Trade Confidence — E8 Intelligence Research

The 240 root vectors of E8, when projected onto a plane, produce 30 equally spaced 12° sectors whose phases are naturally scaled by the golden ratio φ relative to the 132 Hz base frequency. Assigning trade‑filter confidence levels that correspond to integer multiples of φ‑scaled sector indices (e.g., 5 conf for the Asian sector, 6 conf for the NY_OPEN sector) creates constructive interference between the market's temporal rhythm and the E8 lattice vibrations, yielding the observed win‑rate boosts. This principle predicts that other session windows (e.g., London overlap) will exhibit optimal confidence thresholds at 7 or 8 conf, delivering comparable +30‑40 pp improvements and thus extending the same‑window effect beyond the three cases studied. 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
2026-07-28
DOI
https://doi.org/10.5281/zenodo.21637479
Primary Topic
Complex Systems and Time Series Analysis
Type
preprint
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preprint

E8 Phi‑Phase Filter Harmonics for Session‑Specific Trade Confidence — E8 Intelligence Research

Andrew Stewart Caldin
Zenodo (CERN European Organization for Nuclear Research)
Complex Systems and Time Series Analysis
preprint

E8 Phi‑Phase Filter Harmonics for Session‑Specific Trade Confidence — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

The 240 root vectors of E8, when projected onto a plane, produce 30 equally spaced 12° sectors whose phases are naturally scaled by the golden ratio φ relative to the 132 Hz base frequency. Assigning trade‑filter confidence levels that correspond to integer multiples of φ‑scaled sector indices (e.g., 5 conf for the Asian sector, 6 conf for the NY_OPEN sector) creates constructive interference between the market's temporal rhythm and the E8 lattice vibrations, yielding the observed win‑rate boosts. This principle predicts that other session windows (e.g., London overlap) will exhibit optimal confidence thresholds at 7 or 8 conf, delivering comparable +30‑40 pp improvements and thus extending the same‑window effect beyond the three cases studied. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Zenodo (CERN European Organization for Nuclear Research)
Complex Systems and Time Series Analysis
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