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

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

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

theanh97/Deep-Reinforcement-Learning-with-Stock-Trading, dépôt open source à 102 étoiles sur GitHub. Carte Prototype de RepoMasters. Langage : Jupyter Notebook.

| Champ | Valeur |
| --- | --- |
| Propriétaire | [theanh97](https://repo.masters-masters.com/owners/theanh97) |
| Étoiles | 102 |
| Forks | 36 |
| Langage | [Jupyter Notebook](https://repo.masters-masters.com/languages/jupyter-notebook) |
| Licence | Aucune |
| Création | 2024 |
| Rang | [Prototype (100 à 249 ★)](https://repo.masters-masters.com/ranks/rush) |
| Voir sur GitHub | [theanh97/Deep-Reinforcement-Learning-with-Stock-Trading](https://github.com/theanh97/Deep-Reinforcement-Learning-with-Stock-Trading) |

## Fiche du dépôt

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…

Rang des dépôts qui ont 100 à 249 ★ sur GitHub. Probabilité publiée par carte tirée : 70 %. Rareté : Commune.

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Données : GitHub · Illustration dessinée par RepoMasters à partir de l’identifiant du dépôt et de la couleur de son langage.
