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Stock market price prediction using simple linear regression , with statistical features like bollinger bands, donchian channels , and simple moving averages for various time periods. It creates more than 300 new features and than selects top 50 having least interdependence on each other using Pearson correlation coefficient for best results.

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Stock market price prediction using simple linear regression , with statistical features like bollinger bands, donchian channels , and simple moving averages for various time periods. It creates more than 300 new features and than selects top 50 having least interdependence on each other using Pearson correlation coefficient for best results.

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