About A project featuring exploratory data analysis (EDA) and machine learning applications for S&P 500 stock data, utilizing Python and relevant libraries.

🚀 Production-grade XGBoost pipeline for financial time-series forecasting. Features walk-forward validation (anti-leakage), multi-asset pooled training, SHAP explainability, and automated equity curve simulation for BTC, Stocks, and Gold. 📈