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Stock trading has always been an appealing option in the world of financial market to make significant profits. As a popular saying goes, “Trading is not gambling”. It is true for the case of stock trading also. Successful traders always do a lot of research and analysis before buying and selling their stocks. This analysis usually includes looking at past record of a stock and finding patterns for future predictions. As machines are very good at processing huge amount of data and finding patterns from the data, we can see why the use of deep learning models can be beneficial in this case. In this paper, we are going to study various deep learning models used by researchers in the past to predict stock prices.

A review of stock market predictions using deep learning models