First Glance

To quickly understand what is FinRL and how it works, you can go through the series Stock_NeurIPS2018, including Stock_NeurIPS2018_Data.ipynb, Stock_NeurIPS2018_Train.ipynb, Stock_NeurIPS2018_Backtest.ipynb in our examples directory (https://github.com/AI4Finance-Foundation/FinRL/tree/master/examples)

This is how we use Deep Reinforcement Learning for Stock Trading from scratch.

Tip

Run the code step by step at Google Colab.

The notebook and the following result is based on our paper Practical deep reinforcement learning approach for stock trading Xiong, Zhuoran, Xiao-Yang Liu, Shan Zhong, Hongyang Yang, and Anwar Walid. “Practical deep reinforcement learning approach for stock trading.” arXiv preprint arXiv:1811.07522 (2018).

../_images/result_NeurIPS.png