This project implements a machine learning-based options pricing model using XGBoost for predicting option prices and GARCH for volatility estimation. The model leverages historical stock price data ...
All models query a unified SQLite database containing ~165,000 player-gameweek observations across 7 seasons (2019-20 to 2025-26).