/ETH_SP500_Clustering_Analysis

For this Python-based project, I collected historical trading data for S&P 500 companies and ETH-USD, and filtered 10,000 Twitter posts, containing the words "ETH", "Ethereum". The project includes the following steps: collecting data, exploring data, modifying variables, setup model, and evaluate model. My hypothesis is that companies that are highly correlated will be affected by the same positive or negative market information, and thus they should converge in market performance. I hope to find these companies.

Primary LanguageJupyter Notebook

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