Popular GitHub Repositories for Fda

This project day-trades options using an advanced ensemble model. It applies Functional Data Analysis (FDA) to model entire price, momentum, and IV smile curves as features, capturing their shape. The model's predictions then guide a Reinforcement Learning agent, which learns the optimal risk parameters for each trade.

From-scratch implementations of PCA, FDA, LDA, QDA for MNIST classification, decision trees, ensemble methods (bagging, random forest), 5-fold cross-validation, AdaBoost, Gradient Boosting, and neural networks for binary classification—using only NumPy, Pandas, and Matplotlib.