UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 10 | October 2025

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Published in:

Volume 9 Issue 5
May-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2205279


Registration ID:
400804

Page Number

c598-c602

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Title

REVIEW OF MACHINE LEARNING ALGORITHM FOR STOCK MARKET PREDICTION

Abstract

Due to the inconsistency and highly instability nature of the Stock market, it has become a very tough task for investor to make accurate predictions. Polishing the accuracy of predictions has become the main task of many researchers. From the study of working with historical report to using the latest machine learning algorithms and deep learning techniques, developers are busy finding out the best possible model of accurate prediction. Many new models are designed that can make good prediction of stock prices. Investors are interested in calculating the immediate next-day prices and as well as future share prices in the long term. This review paper examine the algorithms and techniques that are useful for making accurate predictions.

Key Words

Closing Price, Market, Model, Predict, Price, Stock, Algorithm.

Cite This Article

"REVIEW OF MACHINE LEARNING ALGORITHM FOR STOCK MARKET PREDICTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.c598-c602, May-2022, Available :http://www.jetir.org/papers/JETIR2205279.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"REVIEW OF MACHINE LEARNING ALGORITHM FOR STOCK MARKET PREDICTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppc598-c602, May-2022, Available at : http://www.jetir.org/papers/JETIR2205279.pdf

Publication Details

Published Paper ID: JETIR2205279
Registration ID: 400804
Published In: Volume 9 | Issue 5 | Year May-2022
DOI (Digital Object Identifier):
Page No: c598-c602
Country: LUCKNOW, U.P., India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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