Based on BP Neural Network Stock Prediction

Xiangwei Liu, Xin Ma

Abstract


The stock market has a high profit and high risk features, on the stock market analysis and prediction research has been paid attention to by people. Stock price trend is a complex nonlinear function, so the price has certain predictability. This article mainly with improved BP neural network(BPNN) to set up the stock market prediction model, and the results show that the method has good prediction effect on stock price, can provide certain reference for investment.
Keywords: Stock prediction, BPNN, Prediction model

 


Full Text: PDF DOI: 10.5430/jct.v1n1p45

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Journal of Curriculum and Teaching

ISSN 1927-2677 (Print) ISSN 1927-2685 (Online)

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