Albert-Z-Guo/Deep-Reinforcement-Stock-Trading
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.
Jupyter NotebookGPL-3.0
Stargazers
- Art3y
- Azrulfy
- bakszero@LinkedIn
- chingchou888
- davidhuang123
- debajyotiguha11@subex @blockhead404
- DeepMindv2
- elliotvilhelmClickup
- FBruzzesi@HelloFresh
- flios
- georgezouqStaringOS
- GuintherKovalskiPacer
- idiot1347
- JMErickson17@Lab49
- karl6885Seoul, Korea
- kylinLiu
- markqiu@jinniuai
- merklefruit@chainbound
- midnight-q
- morningskyShanghaiTech University
- pitera05Taiwan
- Pk13055@Synalytica
- Prahlad-KColumbia University
- RedchardsMurex
- retrontologyAustin, TX
- rk2900Microsoft Research
- rongzhou
- sabirjana
- shzhangyihanNorthwestern University
- soloblackShenzhen
- swetanjalIIIT Hyderabad
- tim5goHong Kong
- WJie12ShanghaiTech University
- wwwangzhchShanghai
- xieshuaix
- YueHaimingJohns Hopkins University