Member-only story
Deep Reinforcement Learning for Automated Stock Trading
Using reinforcement learning to trade multiple stocks through Python and OpenAI Gym | Presented at ICAIF 2020
Note from Towards Data Science’s editors: While we allow independent authors to publish articles in accordance with our rules and guidelines, we do not endorse each author’s contribution. You should not rely on an author’s works without seeking professional advice. See our Reader Terms for details.
This blog is based on our paper: Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy, presented at ICAIF 2020: ACM International Conference on AI in Finance.
Our codes are available on Github.
Ensemble Strategy using FinRL:

