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Automated quantamental pipeline that integrates satellite imagery from Sentinel-2 (via Google Earth Engine) with financial time series to perform lead-lag correlation analysis for stock price prediction.
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The project is a 5-day-old personal experiment with zero stars or forks. While the concept of 'quantamental' analysis using Earth Observation (EO) data is sophisticated and used by high-end hedge funds, this implementation lacks the data gravity, processing scale, or validation required for a higher score. It functions as a proof-of-concept for integrating the GEE API with financial datasets.
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