Stock Prediction Using Convolutional Neural Network

2018 2nd International Conference on Artificial Intelligence Applications and Technologies

计算机科学

Chen, Sheng^1 ; He, Hongxiang^1

School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China^1

关键词: Chinese stock market;    Convolutional neural network;    Development of science and technologies;    High price;    Hot topics;    Learning methods;    Stock predictions;    Stock price movements;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/435/1/012026/pdf
DOI  :  10.1088/1757-899X/435/1/012026

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Stock prediction is a very hot topic in our life. However, in the early time, because of some reasons and the limitation of the device, only a few people had the access to the study. Thanks to the rapid development of science and technology, in recent years more and more people are devoted to the study of the prediction and it becomes easier and easier for us to make stock prediction by using different ways now, including machine learning, deep learning and so on. In this paper, we proposed a deep learning method based on Convolutional Neural Network to predict the stock price movement of Chinese stock market. We set the opening price, high price, low price, closing price and volume of stock deriving from the internet as input of the architecture and then run and test the program. The result has shown that it is a bit reliable to use deep learning method based on Convolutional Neural Network to predict the stockprice movement of China.