# Albert-Z-Guo/Deep-Reinforcement-Stock-Trading

<https://repo.masters-masters.com/en/repos/Albert-Z-Guo/Deep-Reinforcement-Stock-Trading>

[Home](https://repo.masters-masters.com/en) › [Albert-Z-Guo](https://repo.masters-masters.com/en/owners/Albert-Z-Guo) › [Deep-Reinforcement-Stock-Trading](https://repo.masters-masters.com/en/repos/Albert-Z-Guo/Deep-Reinforcement-Stock-Trading)

Albert-Z-Guo/Deep-Reinforcement-Stock-Trading has 688 stars on GitHub. Its RepoMasters card: Alpha tier. A light-weight deep reinforcement learning framework…

| Field | Value |
| --- | --- |
| Owner | [Albert-Z-Guo](https://repo.masters-masters.com/en/owners/Albert-Z-Guo) |
| Stars | 688 |
| Forks | 157 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | GPL-3.0 |
| Created | 2019 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [Albert-Z-Guo/Deep-Reinforcement-Stock-Trading](https://github.com/Albert-Z-Guo/Deep-Reinforcement-Stock-Trading) |

## Repository

A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

## Nearby in Jupyter Notebook

- [tomhartke/knowledge-graph-from-GPT · ★ 689 · Jupyter Notebook · Alpha](https://repo.masters-masters.com/en/repos/tomhartke/knowledge-graph-from-GPT)
- [dCaples/AutoDidact · ★ 688 · Jupyter Notebook · Alpha](https://repo.masters-masters.com/en/repos/dCaples/AutoDidact)
- [mshumer/gpt-pro-mode · ★ 688 · Jupyter Notebook · Alpha](https://repo.masters-masters.com/en/repos/mshumer/gpt-pro-mode)
- [Spandan-Madan/Me\_Bot · ★ 687 · Jupyter Notebook · Alpha](https://repo.masters-masters.com/en/repos/Spandan-Madan/Me_Bot)
- [jdtoscano94/NABLA-SciML · ★ 687 · Jupyter Notebook · Alpha](https://repo.masters-masters.com/en/repos/jdtoscano94/NABLA-SciML)

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