PrototypeCommon
theanh97/Deep-Reinforcement-Learning-with-Stock-Trading
This project uses Deep Reinforcement Learning (DRL) to develop and evaluate stock trading strategies. By implementing agents like PPO, A2C, DDPG, SAC, and TD3 in a realistic trading environment with transaction costs, it aims to optimize trading decisions based on return, volatility, and Sharpe rat…
- Owner
- theanh97 (personal account)
- Stars
- Stars: 102
- Forks
- Forks: 36
- Language
- Jupyter Notebook
- License
- None
- Created
- 2024
- Tier
- Prototype (100 to 249 ★) What this tier means
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