This project aims to predict the future prices of a particular stock using the available price information. The input is financial data and various risk settings. Machine learning algorithms and time series analysis with respect to different inputs will be used for the prediction and the strategy will be tested against the future untrained data and benchmark to evaluate its usefulness. At the end, we will test our results with the current data. It is expected that we will have a strategy with a revenue.
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