Back to Search Start Over

Survey Paper on Stock Prediction Using Machine Learning Algorithms.

Authors :
Shewalkar, Amol Jeewanrao
Gupta, Bijendra
Source :
International Research Journal of Innovations in Engineering & Technology; 2023 Special Issue, Vol. 7, p245-247, 3p
Publication Year :
2023

Abstract

Stock Market Prediction is a challenging and trending topic for researchers in recent years. Although it contains significant risk, it is frequently utilized in investment schemes that promise big returns. The returns on stocks are quite erratic. They are influenced by a number of variables, including prior stock prices, current market trends, financial news, social media, etc. There are many methods used to forecast stock value, including technical analysis, fundamental analysis, time series analysis, and statistical analysis, however none of these methods has been demonstrated to be a reliable forecasting method. In order to improve the accuracy of stock price prediction, a variety of machine learning approaches and algorithms are examined in this study. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
25813048
Volume :
7
Database :
Complementary Index
Journal :
International Research Journal of Innovations in Engineering & Technology
Publication Type :
Academic Journal
Accession number :
165103701