Minah S1: Alpha Forecasting
Comparative analysis of four progressive forecasting methodologies across 31 assets. Raw dataset baseline (48% accuracy) evolves through statistical models (62%), manifold learning (68%), and institutional trading concepts (72%). Each layer adds 15-25% prediction accuracy while reducing false signals by 30-40%. Full synthesis achieves 94% conviction on top picks (SNDK) vs 45% raw momentum. Demonstrates how mathematical models predict WHERE alpha exists, manifold learning predicts WHEN it occurs, and institutional trading concepts reveal HOW to enter.