CODES-Quant_ Coherence-Driven Trading Architecture

Paper to CODES Framework: Link Abstract This paper introduces CODES-Quant, the first trading architecture grounded in structured resonance rather than probabilistic modeling. Built on the Resonance Intelligence Core (RIC), the system uses prime-anchored harmonic functions (Cₙ), a real-time coherence metric (PAS), and a nonlinear memory engine (ELF) to detect alignment in market structure and guide execution based on phase integrity—not prediction. Unlike traditional quant frameworks that optimize for expected value or volatility surfaces, CODES-Quant detects coherence events—moments when market behavior reflects deep structural resonance. The system includes CHORDLOCK, a multi-scale positioning module that locks trades only when macro-phase alignment is confirmed, and FlameCam, a visual overlay for human interpretability. We demonstrate how this architecture outperforms probabilistic models across key market regimes—FOMC events, earnings traps, and macro rotations—by tuning to the field underneath price, not the noise surrounding it. With no training, no optimization, and no probabilistic assumptions, CODES-Quant redefines trading as resonance participation, not stochastic speculation.