Paper Title :Some Studies on Prediction of Stock Market Trend: A Systematic Review

Author :Amey Nandgaonkar, Anil Nandgaonkar

Article Citation :Amey Nandgaonkar ,Anil Nandgaonkar , (2023 ) " Some Studies on Prediction of Stock Market Trend: A Systematic Review " , International Journal of Management and Applied Science (IJMAS) , pp. 56-59, Volume-9,Issue-10

Abstract : In the global financial market trading is one of the most important tasks. The stock market forecast is inherently unpredictable; it is just an act of trying to determine the future value of the stocks/shares. In the current state of the stock market, the prediction of the practice or price of stocks using machine learning techniques is made a very interesting issue to be investigated. The stock market is sensitive to the political and macroeconomic environment also. A survey is carried out in order to gain an understanding of the existing research and debates in the area of stock market forecasting. This is necessary mainly to identify the gaps in research, conflicts in previous studies, open questions left from other research. This review summarizes various approaches and methods that are used for making predictions about the stock market. Fundamental analysis helps in giving a good estimate of long-term analysis whereas technical analysis provides a way to analyze chart patterns and statistical data to make future predictions. The commonly used technique for attaining effective stock market prediction is AI and ML based techniques. From this analysis, it can be concluded that the stock market prediction is a very complex task, and different factors should be considered for predicting the future of the market more accurately and efficiently. Keyword - Stock Market, Trading Models, Artificial Neural Network, Machine Learning, Prediction

Type : Research paper

Published : Volume-9,Issue-10

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