Stock Prediction Using Convolutional Neural Network

March 12, 2022

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.

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