Combining Recursive Feature Elimination and Support Vector Machines for Stock Price Forecasting ⋆

Abstract

Predicting the trend of stock price has been the dream of a large number of practitioners and theorists for a long time. As the financial time series are inherently non-stationary,the accuracy is always low. In this paper we combine recursive feature elimination method (RFE) with support vector machine (SVM) and use it to predict the trend of stock price… (More)

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