Stock Price Prediction Based On BP Artificial Neural Network Model

A-shares market of China is always a market for both risks and benefits.Due to the particularity of national conditions of China,A-shares market is often different from the traditional and classical financial theories.In this market,a lot of investors can not understand the market rule,it makes many investors loss their capital in China's stock market.So the prediction research of domestic stock market trend is of great significance for investors.The author thinks that the domestic A-shares market's operational mode is different from the traditional financial theories,mainly because of the domestic stock market has a different operational logic from the financial theories.Therefore,this article first in the second chapter introduces the classic traditional securities analysis theories,including fundamental analysis and technical analysis.In the third chapter,it mainly introduces the main characteristics of China's A-shares market and to summarize all the bull markets and bear markets of Shanghai stock exchange since the establishment,and also to analyze the political influence,so as to explain the traditional investment theory is difficult to adapt to China's stock market.Starting from the fourth chapter introduces the BP artificial neural network,the BP artificial neural network to illustrate the basic principle and mathematical principles,for our practical application,it is theoretical basis.In the fifth chapter,it has chosen two categories,a total of six stocks to do an empirical study,to verify the model in different level fluctuations of individual stocks in the prediction of the time.And to check whether the method can be promoted in Chinese stock market under the current conditions.