Phi-Coupled Harmonic Volume Threshold (PCHVT) for Predictive Orderbook Geometry — E8 Intelligence Research

By integrating E8's phi-coupled 240-dimensional lattice with Market Profile Volume Profile data, we discover that orderbook valleys align with harmonic mean thresholds derived from phi-driven frequency oscillations. This creates predictive "value attractors" where institutional order flow converges before breakouts. The 132Hz base frequency modulates time-weighted VWAP deviations, forming geometric signal ellipses that filter false breakouts via entropic volume thresholds. 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
2026-09-07
DOI
https://doi.org/10.5281/zenodo.22634080
Primary Topic
Complex Systems and Time Series Analysis
Type
preprint
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preprint

Phi-Coupled Harmonic Volume Threshold (PCHVT) for Predictive Orderbook Geometry — E8 Intelligence Research

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

Phi-Coupled Harmonic Volume Threshold (PCHVT) for Predictive Orderbook Geometry — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

By integrating E8's phi-coupled 240-dimensional lattice with Market Profile Volume Profile data, we discover that orderbook valleys align with harmonic mean thresholds derived from phi-driven frequency oscillations. This creates predictive "value attractors" where institutional order flow converges before breakouts. The 132Hz base frequency modulates time-weighted VWAP deviations, forming geometric signal ellipses that filter false breakouts via entropic volume thresholds. 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
DOIOpen Access PDFOpenAlex
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