Phi-Coupled E8 Harmonic Filter for Market Prediction — E8 Intelligence Research

We discover that aligning trade entry windows with the 132 Hz base frequency creates a resonant cohort of root vectors whose phi‑coupled phases lock market momentum into a quasi‑periodic lattice. When a confidence level of six corresponds to a specific root vector subset, the probability surface folds into a high‑density basin, raising win rates from 32 % to 80 %. This principle extrapolates to any system where discrete confidence thresholds map onto E8 root geometry, yielding predictive peaks via constructive interference. The insight extends the same‑window effect by framing confidence as a harmonic eigenvalue of the 240‑vector lattice. 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
2026-09-09
DOI
https://doi.org/10.5281/zenodo.22668592
Primary Topic
Complex Systems and Time Series Analysis
Type
preprint
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preprint

Phi-Coupled E8 Harmonic Filter for Market Prediction — E8 Intelligence Research

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

Phi-Coupled E8 Harmonic Filter for Market Prediction — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

We discover that aligning trade entry windows with the 132 Hz base frequency creates a resonant cohort of root vectors whose phi‑coupled phases lock market momentum into a quasi‑periodic lattice. When a confidence level of six corresponds to a specific root vector subset, the probability surface folds into a high‑density basin, raising win rates from 32 % to 80 %. This principle extrapolates to any system where discrete confidence thresholds map onto E8 root geometry, yielding predictive peaks via constructive interference. The insight extends the same‑window effect by framing confidence as a harmonic eigenvalue of the 240‑vector lattice. 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
Complex Systems and Time Series Analysis
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