ML4T
基于机器学习方法构建多因子选股模型:RandomForest, GBDT, Adaboots, xgboost,MLP, Linear Model, LSTM
A practical feature engineering handbook
FinRL: Financial Reinforcement Learning. 🔥
Python AutoML for Trading Systems and Sports Betting
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
OpenFE: automated feature generation with expert-level performance
TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning 🔥 ⚡ 🌈
High frequency trading (HFT) framework built for futures using machine learning and deep learning techniques
Feature engineering of a Limit Order Book. Extraction of features from a LOB in order to analyse the behaviour of trade market.