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Stock Prices Prediction: Survey and Research Direction

Author(s):

Vedant Shirodkar , Padmabhushan VasantDada Patil Pratishthans College of Engineering; Vikas Yadav, Padmabhushan VasantDada Patil Pratishthans College of Engineering; Nasir Kadri, Padmabhushan VasantDada Patil Pratishthans College of Engineering

Keywords:

Stock Prediction, Survey paper, SVM, HMM, Sentimental Analysis, LSTM, ARIMA, Fuzzy System

Abstract

Stock prices prediction is the act of determining the future prices of stock based on the current scenario of the market. Stock Market is highly volatile in nature as many factors are involved in the movement of stock price it is difficult, tedious and a challenging task to forecast exact prices of the stock. Several attempts have been made to predict stock prices. Research is been carried out with end ultimate goal to predict the stock prices more accurately. For an algorithm There are several sorts of research done as such far with the end goal to predict the stock market to complete the depicted measurements. While designing an algorithm for stock prices forecasting one should keep in mind that the algorithm should have accuracy, adaptability to learn new trends and patterns and the prediction should be carried out in less operational time. In this survey paper our aim is to analyse few well known stocks prediction algorithms. Our motive for this literature survey is to detect directions for future machine learning stock market prediction research based upon a review of current literature.

Other Details

Paper ID: IJSRDV9I20401
Published in: Volume : 9, Issue : 2
Publication Date: 01/05/2021
Page(s): 567-569

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