# theanh97/Deep-Reinforcement-Learning-with-Stock-Trading

<https://repo.masters-masters.com/en/repos/theanh97/Deep-Reinforcement-Learning-with-Stock-Trading>

[Home](https://repo.masters-masters.com/en) › [theanh97](https://repo.masters-masters.com/en/owners/theanh97) › [Deep-Reinforcement-Learning-with-Stock-Trading](https://repo.masters-masters.com/en/repos/theanh97/Deep-Reinforcement-Learning-with-Stock-Trading)

theanh97/Deep-Reinforcement-Learning-with-Stock-Trading has 102 stars on GitHub. Its RepoMasters card: Prototype tier. This project uses Deep Reinforcement…

| Field | Value |
| --- | --- |
| Owner | [theanh97](https://repo.masters-masters.com/en/owners/theanh97) |
| Stars | 102 |
| Forks | 36 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2024 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [theanh97/Deep-Reinforcement-Learning-with-Stock-Trading](https://github.com/theanh97/Deep-Reinforcement-Learning-with-Stock-Trading) |

## Repository

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…

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
