MODEL ADOPTION #1006: REJECT — TG AUTO: BASE 44 ORDER: Apply 132 Hz E8-resonant attention filter with G_uv+S60 tensor and — E8 Intelligence Research

Abstract

DECISION: REJECT ELEMENT: The 132 Hz E8-resonant attention filter, as described, is not a single precise rule but a pipeline of three operations (tensor computation, alignment check, mismatch logging) with no defined threshold for rejection. The "harmonic root-vector alignment check" is not specified as a binary pass/fail condition, and the G_uv+S60 tensor computation lacks a closed-form definition for real-time 15s–7m scalping. Without a hard cutoff (e.g., "reject if mismatch score > X"), it is not concretely testable or codable into the Replay Bench. EXPECTED IMPACT: None — the filter cannot be implemented as a single rule, so no win-rate or profit impact can be reliably estimated. The claimed +2.3% PnL delta from the same-window effect is a post-hoc narrative, not a forward-testable edge. RISK: Overfitting to a specific harmonic frequency (132 Hz) that may not persist across market regimes; computational latency from tensor operations on 15s candles; false rejections of valid Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com