austin-starks/Deep-RL-Stocks
Reinforcement Learning for Stock Market Prediction
This project helps quantitative traders and financial researchers leverage deep reinforcement learning to develop automated stock trading strategies. It takes historical stock data, particularly for S&P 500 and Nasdaq stocks, and outputs an algorithm that can trade multiple stocks simultaneously. The primary user would be someone building or evaluating algorithmic trading systems.
175 stars. No commits in the last 6 months.
Use this if you are a quant trader or researcher looking to explore and implement advanced AI-driven strategies for multi-stock trading.
Not ideal if you are looking for a plug-and-play trading bot without understanding the underlying reinforcement learning methodology.
Stars
175
Forks
55
Language
Python
License
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Category
Last pushed
May 17, 2024
Commits (30d)
0
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