Survey on Stock Market Prediction using Deep Learning

Survey on Stock Market Prediction using Deep Learning

                                 1)  Prof V.M. Sardeshmukh, E&TC Dept, SAE Kondhawa, pune

                                 2)  Saurabh Gund, E&TC Dept, SAE Kondhawa, pune

                                 3)  Prathamesh Mhalsekar, E&TC Dept, SAE Kondhawa, pune

                                 4)  Santhipriyan Nair, E&TC Dept, SAE Kondhawa, pune

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Abstract - The share market is a very unpredictable entity that is extremely sensitive to different sorts of criteria. Substantial research has been done in the field of financial markets projection to discover the many characteristics and elements connected with price volatility. The routine movements of the financial markets is exceedingly turbulent and dynamic. It is impacted by a large number of underlying elements and intricate interactions, resulting in a substantial percentage of non linearity. According to certain beliefs on the behavior of the financial markets, stock exchange progression is entirely unpredictable. Therefore, to achieve effective prediction of the stock markets through the use of machine learning approaches a number of related works have been analyzed. This analysis has allowed for the development of a useful and highly effective methodology that will be discussed in the upcoming editions of this research article.

Key Words:  K Nearest Neighbors, Long Short Term Memory, Stock Market Prediction.