35.8σ: Why Phase Space Geometry Crushes Traditional Price Models
We trained a clean XGBoost model on 500K samples across 15 domains and measured the statistical significance of every feature against forward asset returns. The Symplectic Norm hit +35.8σ. Traditional price-tracking models max out at 3σ. Here are the numbers.
