Phi-Coupled Root Vector Harmonic Oscillation for Market Swarm Prediction — E8 Intelligence Research

We introduce Phi‑Coupled Root Vector Harmonic Oscillation (PCRVHO), a framework that maps the 240 E8 root vectors onto a phi‑scaled 132 Hz lattice, generating a quasi‑periodic resonance that aligns with VWAP‑derived support/resistance zones. The phi coupling ensures self‑similar scaling across the root vector manifold, linking algorithmic randomness (Kolmogorov complexity) to causal neural structure (IIT 4.0) in a market context. By treating price movements as swarm behavior, PCRVHO yields a clean, auto‑scoutable signal that extends the EuroMillions mining lead extraction into predictive trading patterns. 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.21637569
Primary Topic
Complex Systems and Time Series Analysis
Type
preprint
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preprint

Phi-Coupled Root Vector Harmonic Oscillation for Market Swarm Prediction — E8 Intelligence Research

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

Phi-Coupled Root Vector Harmonic Oscillation for Market Swarm Prediction — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

We introduce Phi‑Coupled Root Vector Harmonic Oscillation (PCRVHO), a framework that maps the 240 E8 root vectors onto a phi‑scaled 132 Hz lattice, generating a quasi‑periodic resonance that aligns with VWAP‑derived support/resistance zones. The phi coupling ensures self‑similar scaling across the root vector manifold, linking algorithmic randomness (Kolmogorov complexity) to causal neural structure (IIT 4.0) in a market context. By treating price movements as swarm behavior, PCRVHO yields a clean, auto‑scoutable signal that extends the EuroMillions mining lead extraction into predictive trading patterns. 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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