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This project scrapes historical cryptocurrency data from the CryptoCompare API, stores it in PostgreSQL, and analyzes it with Python. Using Anaconda for environment management and Jupyter Notebook for data processing, it fetches data for multiple cryptocurrencies and stores it efficiently.