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The document outlines a Python script that utilizes the Pytrends library to collect search interest data for major tech companies over the past five years and saves it to a CSV file. It calculates abnormal search volume indices and measures sector attention and dispersion, then correlates this data with NASDAQ market returns. Finally, it generates and saves various visualizations to analyze attention shocks and their relationship with market movements.

Author

megaa7700

Language

EN