Modeling and Analyzing Stock Trends Public
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The goal of this project is to create and compare several different stock prediction models and find a correlation between the predictions and volatility for each stock. The models were created using the historical data, DJI index, and moving averages. The most accurate prediction model had an average of 5.3 days spent within a prediction band. A correlation of -0.0438 was found between that model and a measure of volatility, indicating that more prediction days means lower volatility.
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