Shypd.aiThe largest open index of AI toolsMachine-Learning-for-Algorithmic-Trading-Second-Edition_Original is an Open Source resource that provides extensive materials for applying machine learning to algorithmic trading strategies. It includes over 150 notebooks demonstrating concepts from linear regression to deep reinforcement learning.
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Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original is an open-source GitHub repository accompanying the "Machine Learning for Algorithmic Trading, Second Edition" book published by Packt. This comprehensive resource aims to show how machine learning can add value to algorithmic trading strategies in a practical yet comprehensive way. It covers a broad range of ML techniques, from linear regression to deep reinforcement learning, and demonstrates how to build, backtest, and evaluate trading strategies driven by model predictions. The repository contains over 150 notebooks that put the book's concepts, algorithms, and use cases into action, providing numerous examples for working with market, fundamental, and alternative data, training models, and designing trading strategies. It also includes applications replicating recently published research and uses the latest software versions like pandas 1.0 and TensorFlow 2.2.
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