Shypd.aiThe largest open index of AI toolsMachine-learning-for-trading provides code and resources for applying machine learning to algorithmic trading. It covers techniques from linear regression to deep reinforcement learning, helping users build and backtest trading strategies.
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Machine-learning-for-trading is an open-source repository offering comprehensive code and resources for applying machine learning to algorithmic trading. It covers a broad spectrum of ML techniques, from linear regression to deep reinforcement learning, across over 150 notebooks. The resource demonstrates how to build, backtest, and evaluate trading strategies driven by model predictions, incorporating aspects like data sourcing, financial feature engineering, and portfolio management. It also explores extracting tradeable signals from financial text data, using deep learning models with market and alternative data, generating synthetic data with GANs, and training trading agents using deep reinforcement learning. The 2nd edition emphasizes an end-to-end ML4T workflow, including new chapters on strategy backtesting and an alpha factor library.
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