Model evaluation demonstrates zero win-rate improvement from Q8 lattice compression in algorithmic trading, indicating latency gains fail to justify precision risks.
DECISION: REJECT ELEMENT: Q8 compression on cluster 84's E8 lattice fails the concrete-edge test. The proposal is an internal latency optimization, not a signal or geometry rule. It does not alter entry logic, target placement, or risk parameters — the only things that drive PnL in a 15s–7m scalp model. Even if latency drops 40%, the edge must come from *which* vectors fire and *when*, not how fast they load. The 94 WIN_TP2 results confirm current traversal is already fast enough to capture those wins. EXPECTED IMPACT: Zero direct win-rate or profit improvement. Any indirect gain from faster agent firing is speculative, unmeasured, and likely sub-1% — not worth the quantization noise risk. RISK: Quantization noise from Q8 encoding could introduce subtle geometric drift in root vector precision, degrading edge-case signal fidelity on fast pairs like GBPUSD. Decode overhead may negate latency gains if the lattice is not memory-bound. Complexity adds maintenance burden with no prove 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.
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