This project utilizes machine learning techniques to predict stock prices by integrating diverse data sources including historical price data, technical indicators, sentiment analysis from news, social media, and macroeconomic indicators.
python numpy scikit-learn machine-learning-algorithms pandas praw tweepy ta-lib news-api fredapi pandas-ta wbdata
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Updated
Jul 8, 2024 - Jupyter Notebook