georgemuriithi/tesla-stock-price-pred
Tesla’s stock price is predicted over some months using an LSTM model. Tweets about Tesla are used to improve prediction accuracy.
This project explores how public sentiment on Twitter might influence a company's stock price. It takes historical stock prices and Tesla-related tweets, processes them to understand daily sentiment, and then uses that information to predict Tesla's stock price over several months. Financial analysts or data science enthusiasts interested in market sentiment could use this to understand the impact of social media on stock movements.
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Use this if you are a financial analyst or data science enthusiast looking to understand the relationship between social media sentiment and stock price trends.
Not ideal if you need a reliable tool for real-time stock market predictions to make investment decisions, as this project is for research and demonstration purposes only.
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Language
Jupyter Notebook
License
GPL-3.0
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Last pushed
Feb 01, 2024
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