Application of Neural Network in Stock Market Forecasting

This paper summarizes the relevant literature on the neural network application in stock price forecasting, broadens research perspective, improve research methods with a focus on application of deep learning to stock price forecasting, and finally summarize the paper and looks forward to its future development. It makes the neural network's prediction of the stock market more accurate and can make investors more profitable. It can let investors make judgments through rational research results, which can greatly help investors make more objective and reasonable choices. It can restrain the weaknesses of greed and fluky psychology in human nature in investment, and can also overcome investors' cognitive bias, which plays a certain role in investors ' profitability.