deep-RL-trading and Deep-RL-Stocks
About deep-RL-trading
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.
About Deep-RL-Stocks
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.
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