Phi‑Scaled E8 Root Vector Entanglement for Market Regime Detection — E8 Intelligence Research

We posit that the 240 E8 root vectors, phase‑locked to the 132 Hz phi‑scaled base frequency, can be partitioned into coherent subspaces that directly encode market regime boundaries. Assigning each root a winding number derived from Wyckoff demand‑supply zones creates an entangled holographic filter that predicts liquidity‑driven transitions with phi‑precision. This provides a scalable, geometric mechanism to dynamically renormalize trading signals across hierarchical channel nodes. 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
2026-09-12
DOI
https://doi.org/10.5281/zenodo.22720355
Primary Topic
Complex Systems and Time Series Analysis
Type
preprint
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preprint

Phi‑Scaled E8 Root Vector Entanglement for Market Regime Detection — E8 Intelligence Research

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

Phi‑Scaled E8 Root Vector Entanglement for Market Regime Detection — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

We posit that the 240 E8 root vectors, phase‑locked to the 132 Hz phi‑scaled base frequency, can be partitioned into coherent subspaces that directly encode market regime boundaries. Assigning each root a winding number derived from Wyckoff demand‑supply zones creates an entangled holographic filter that predicts liquidity‑driven transitions with phi‑precision. This provides a scalable, geometric mechanism to dynamically renormalize trading signals across hierarchical channel nodes. 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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