golsun/deep-RL-trading
playing idealized trading games with deep reinforcement learning
This project helps quantitative traders develop and test automated trading strategies. It takes historical market data as input and provides an optimized trading strategy for momentum or arbitrage opportunities as output. Traders and quantitative analysts seeking to apply machine learning to financial markets would use this.
360 stars. No commits in the last 6 months.
Use this if you want to explore deep reinforcement learning models for generating trading strategies in simulated momentum or arbitrage scenarios.
Not ideal if you need a plug-and-play solution for live trading or don't have experience working with machine learning models and Python.
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Python
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MIT
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Last pushed
Jun 15, 2021
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