Phi-Coherent Sentiment Manifold Mapping — E8 Intelligence Research
Year: 2026
Type: preprint
Abstract: 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
Author: Caldin, Andrew Stewart
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7203895747
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