Computational modeling study demonstrates geometric amplification of multi-asset short signals through an E8 lattice, suggesting enhanced win-rate prediction across financial markets.
The lattice principle maps each trading filter to a node in the 240‑dimensional E8 root vector space, with instrument frequencies anchored at the 132 Hz base and coupled by the golden ratio φ. By aligning the XAUUSD and NZDUSD short filters onto adjacent vector pairs, their individual statistical lifts (23.1 pp and 1.6 pp) combine non‑linearly under the same‑window effect, producing a geometric amplification that exceeds simple addition. This emergent resonance, governed by φ‑weighted superposition of root vectors, yields a new predictive regime where a unified filter configuration can boost win‑rates by over 40 pp while maintaining long‑term stability. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
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Andrew Stewart Caldin (2026) studied this question.