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All Journal IJISCS (International Journal Of Information System and Computer Science) IJISCS (International Journal of Information System and Computer Science)
Srivatsa Maddodi
Research Scholar, Srinivas University, Professional 2 DXC Technology India
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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STOCK MARKET FORECASTING: A REVIEW OF LITERATURE Srivatsa Maddodi; K. G. Nandha Kumar
IJISCS (International Journal of Information System and Computer Science) Vol 5, No 3 (2021): IJISCS (International Journal of Information System and Computer Science)
Publisher : STMIK Pringsewu Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v5i3.1064

Abstract

Prediction of stock markets is a complex and challenging task due to price data generated is huge in volume, changes every second, sensitive to human emotions (fear), actions (Wars) and natural disasters (floods, famine, earthquake). Many Methods have been used to predict the stock price like Technical Analysis, Time Series, Fundamental analysis, etc. Prediction of stock price provides knowledgeable information about the status of the stock price and will also help in decision making for the investors. Much research has been carried out in prediction of stock prices using different approaches of Machine Learning techniques, Deep Learning, Sentiment Analysis etc. This paper explores and reviews some of the recent works carried out in predicting stock prices. 
STOCK MARKET FORECASTING: A REVIEW OF LITERATURE Srivatsa Maddodi; K. G. Nandha Kumar
IJISCS (International Journal of Information System and Computer Science) Vol 5, No 3 (2021): IJISCS (International Journal of Information System and Computer Science)
Publisher : Bakti Nusantara Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v5i3.1064

Abstract

Prediction of stock markets is a complex and challenging task due to price data generated is huge in volume, changes every second, sensitive to human emotions (fear), actions (Wars) and natural disasters (floods, famine, earthquake). Many Methods have been used to predict the stock price like Technical Analysis, Time Series, Fundamental analysis, etc. Prediction of stock price provides knowledgeable information about the status of the stock price and will also help in decision making for the investors. Much research has been carried out in prediction of stock prices using different approaches of Machine Learning techniques, Deep Learning, Sentiment Analysis etc. This paper explores and reviews some of the recent works carried out in predicting stock prices. 
Co-Authors K. G. Nandha Kumar