1-IntroductionΒΆ

This section is recommend for new comers of FinRL. Users could better learn FinRL in the meantime of running these notebooks.

  1. Stock_NeurIPS2018.ipynb,

This is the notebook we recommend new users run first. It goes through a full process of DRL for stock trading using FinRL.

  1. China_A_share_market_tushare.ipynb

This notebook demonstrate using FinRL to connect Tushare, using its data of China A share market.

  1. FinRL_PortfolioAllocation_NeurIPS_2020.ipynb

This notebook demonstrate using FinRL to do portfolio allocation.