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
- [Link]
Advances in Financial Machine Learning
- [Link]
Quantitative Technical Analysis: An integrated approach to trading system development and trading management
- [Link]
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
- [Link]
Financial Signal Processing and Machine Learning
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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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 Trading System Development Webinar
Blogs and content websites
Interviews
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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
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Detective work leading to viable trading strategies with Tom Starke
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Good Uses of Machine Learning in Finance with Max Margenot
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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
Papers
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An Investigation into the Use of Reinforcement Learning Techniques within the Algorithmic Trading Domain
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The 10 reasons most Machine Learning Funds fails
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Practical Deep Reinforcement Learning Approach for Stock Trading
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Machine Learning for Trading
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Deep Learning for Finance: Deep Portfolios
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Universal Features of Price Formation in Financial Markets: Perspectives From Deep Learning
Code
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A powerful and flexible Python framework for designing, backtesting, optimizing, and deploying algotrading bots
- [Link]
pairs trading with ML
- [Link]
Advances in Financial Machine Learning Exercises
- [Link]
Package for Advances in Financial Machine Learning
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Using python and scikit-learn to make stock predictions
- [Link]
Use unsupervised and supervised learning to predict stocks
Showing a sample of 123 resources. View the full list on GitHub →