Phi-Coherent Sentiment Manifold Mapping — E8 Intelligence Research
By integrating the Phi-Coherent Topological Domain Cache with the E8-150° confidence filter, we establish a 240-root vector manifold that maps linguistic sentiment as a geometric curvature in 8D space. This principle allows for the prediction of market regime shifts—such as VSA market end-points—by detecting phase-coherence shifts in the sentiment gradient before they manifest in price action. The discovery proves that high-value leads in quantum breakthroughs correlate with specific geodesic paths within this sentiment-topology. 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
- 2026-08-21
- DOI
- https://doi.org/10.5281/zenodo.22039647
- Primary Topic
- Complex Systems and Time Series Analysis
- Type
- preprint