druce/rl
Deep Reinforcement Learning For Trading
This project helps quantitative traders and financial researchers explore how reinforcement learning can be applied to financial markets. It provides examples of algorithms that can be trained with market data to learn trading strategies, outputting models that make decisions based on market conditions. It's designed for those who want to experiment with advanced machine learning techniques for automated trading.
108 stars. No commits in the last 6 months.
Use this if you are a quantitative trader or researcher interested in building and testing deep reinforcement learning algorithms for automated trading strategies.
Not ideal if you are looking for a ready-to-use trading bot or a tool for real-money trading without extensive customization and validation.
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108
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27
Language
Jupyter Notebook
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Last pushed
Feb 01, 2024
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