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Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
This project showcases a comprehensive method for predicting stock prices using an LSTM neural network. It includes fetching historical stock data, preprocessing it, building and training the LSTM model, making predictions, and visualizing outcomes. The main goal is to precisely forecast stock prices utilizing historical data.
TrendSage, the stock prediction reddit tool, aims to develop a correlation between stock predictions based on the posts or comments on Reddit and the actual stock trends.