Background

Stock market prediction is considered as a challenging task in stock trading market. How to accurately predict the stock trend or movement is still an open question with respect to the economic and social organization of modern society. Due to the invention and creation of computer network, investors are easier and more convenient to get access with information of stock market and gain more useful news around the world for making decisions. However, analyzing so many information for finding more useful one and then turning these into investment decision are time consuming and costly. As time goes on, computing technologies become mature and more advanced, some of the techniques proposed before are now feasible. Machine learning is one ofproposed techniques and deep learning is one way to implement it and now widely used in different financial sectors. It includes analyzing trading strategies, predicting corporate bankruptcy, and examining the overall health of larger banking and financial systems.

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