·8 min read
How I Built an ML Stock Predictor with 68.7% Accuracy
A deep dive into building a 3-model ensemble (XGBoost + LightGBM + CatBoost) that predicts S&P 500 stock movements using 33 engineered features and walk-forward validation.
Machine LearningPythonFinance