/s-p500-spy-prediction

This repository analyzes stock market seasonality and builds predictive models for S&P 500 performance. It includes a function to classify data into seasonal groups ("May-October" and "November-April") based on historical dates and a Jupyter notebook for predicting S&P 500 movements using machine learning.

Primary LanguageJupyter Notebook

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