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
- Andrew Stewart Caldin
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