Stock Price Trend Analysis based on BP Neural Network

摘要

Stock price prediction is important for investors to make investment decisions. This paper applies artificial neural network to stock forecasting, establishing a five-layer BP neural network model to predict the closing price of two stocks, the Shanghai Pudong Development Bank and China Fortune Land Development, in the empirical analysis. The results show that the model can effectively make prediction on the stock closing price and the BP neural network with three layers is feasible and effective to assist making investment decisions.