Forecasting and Analyzing the Securities Market Based on Artificial Neural Network

This paper aims to forecasting and analyzing the securities market, which is a crucial problem in modern society development. Firstly, the structure of the securities market forecasting and analyzing system is provided. Moreover, this system is designed based on a trade statistics database, in which the real time transaction data are memorized, and then the original data are put forward to the neural network model. Afterwards, the forecasting and analyzing results are transmitted to the real-time alarm module to obtain alarm decisions. Secondly, we discuss how to forecast and analyze the securities market using artificial neural network. Finally, we select a stock (600028 Sinopec) in China to evaluate the proposed algorithm, the transaction data of this stock are collected within six months. Experimental results demonstrate the effectiveness of the proposed algorithm.