Predicting the Price of a Stock Public
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This project investigates the possible short term prediction of stock prices using historical data of the stock and market in general. To this end, we created several models from real data and integrated multiple tools such as autocorrelation, least square linear fit, fourier series, moving averages, correlation with Nasdaq and Dow Jones. The models provided good predictions for over half of the stocks under consideration for ten business days. Further refinements of the model should be considered.
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Permanent link to this page: https://digital.wpi.edu/show/b5644s09s