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jesselpalmer/cspb_4502_project
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Using Python, analyze real-time cryptocurrency price data to compute correlations between Bitcoin, Ethereum, and XRP to see which assets move together.
Build a statistical anomaly detector in Python that flags unusual cryptocurrency price events by comparing current prices to recent patterns.
Train a machine learning sequence model in Python to classify whether Bitcoin's short-term price movement will be bullish or bearish.
Write a Python script that pulls high-frequency crypto price data and outputs a summary of correlation, anomaly, and trend prediction results.
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