Research on Optimal Strategy Scheme based on Neural Network Prediction Model

Abstract

This paper focuses on the investment plan with the maximum return around the fluctuation of the stock market. First of 
 all, this paper is based on the neural network model price trend line, and then uses the reverse Bollinger band strategy (CBB model). We calculate the error of the price forecast, draw the residual diagram, and find that the error level of the prediction is within 
 an acceptable range. The model in this paper has strong expansibility and good robustness. Finally, we summarize the strategies 
 and results of the model.