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 # FinRL trading
 ## Title: FinRL for Trading
-GitHub: https://github.com/AI4Finance-Foundation/FinRL
-Purpose: Based on the open-source financial reinforcement learning framework-FinRL, develop an AI stock-selection and trading strategy based on Supervised Machine Learning (Supervised ML) and Deep Reinforcement Learning (DRL) algorithms and deploy it to an online trading platform for trading.
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+Purpose: Based on the open-source financial reinforcement learning framework-FinRL (https://github.com/AI4Finance-Foundation/FinRL), develop an AI stock-selection and trading strategy based on Supervised Machine Learning (Supervised ML) and Deep Reinforcement Learning (DRL) algorithms and deploy it to an online trading platform for trading.
 
 ### Phase I: Data Processing and Feature Engineering
 1. Download and install FinRL, download S&P 500 Open, High, Low, Close, and Volume (OHLCV) and Fundamental Indicators (company fundamental data), and convert the data into a daily format