Path: blob/master/docs/source/start/first_glance.rst
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:github_url: https://github.com/AI4Finance-Foundation/FinRL 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`_. .. _Google Colab: https://colab.research.google.com/github/AI4Finance-Foundation/FinRL-Tutorials/blob/master/1-Introduction/Stock_NeurIPS2018_SB3.ipynb 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). .. image:: ../image/result_NeurIPS.png :width: 80% :align: center