awesome-quant-machine-learning-trading
github.com/grananqvist/awesome-quant-machine-learning-trading ↗Quant/Algorithm trading resources with an emphasis on Machine Learning
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Books
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Advances in Financial Machine Learning
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Quantitative Technical Analysis: An integrated approach to trading system development and trading management
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Advanced Algorithmic Trading
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Machine Learning for Finance: Data algorithms for the markets and deep learning from the ground up for financial experts and economics
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Hands-On Machine Learning for Algorithmic Trading: Design and implement smart investment strategies to analyze market behavior using the Python ecosystem
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Financial Signal Processing and Machine Learning
Blogs and content websites
Papers
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Deep Learning and the Cross-Section of Expected Returns
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Computational Intelligence and Financial Markets: A Survey and Future Directions
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Deep Learning Networks for Stock Market Analysis and Prediction: Methodology, Data Representations, and Case Studies
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Stock Market Prediction on High-Frequency Data Using Generative Adversarial Nets
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Improving Stock Movement Prediction with Adversarial Training
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The 10 reasons most Machine Learning Funds fails
Code
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Deep Reinforcement Learning based Trading Agent for Bitcoin
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Deep Learning based Python Library for Stock Market Prediction and Modelling
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A powerful and flexible Python framework for designing, backtesting, optimizing, and deploying algotrading bots
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Use Reinforcement Learning and Supervised learning to Optimize portfolio allocation
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Using deep actor-critic model to learn best strategies in pair trading
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pairs trading with ML
Online series and courses
Youtube videos
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Videos about stock market prediction using Deep Learning
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Webinars about Machine Learning for trading
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Machine Learning for Forex and Stock analysis and algorithmic trading
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Python programming for Finance (a few videos including Machine Learning)
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Machine Learning for Algorithmic Trading 3 part series
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Machine Learning for Quantitative Trading Webinar
Interviews
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Trading strategies, powered by machine learning with Morgan Slade
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Portfolio manager Michael Himmel talks AI and machine learning in trading
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Cryptocurrencies and Machine Learning with Bert Mouler
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This quants’ approach to designing algo strategies with Michael Halls-Moore
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Machine learning for algorithmic trading with Bert Mouler
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Algo trader using automation to bypass human flaws with Bert Mouler
Showing a sample of 123 resources. View the full list on GitHub →