UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 6
June-2021
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2106226


Registration ID:
310556

Page Number

b608-b612

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Title

ANALYSIS OF STOCK PRICE PREDICTION USING MACHINE LEARNING APPROACH

Abstract

Nowadays the most difficult task regarding stocks is to predict them. There are various factors used to predict stock prices. Each of these perspectives integrates to make share costs unpredictable and hard to anticipate with a serious level of exactness. Great and successful forecast models for stock prediction help dealers, financial backers, and analysts by giving steady data like the future value of the Stock Market. This paper incorporates Predicting stock costs using LSTM (Long Short-Term memory), Linear Regression and Moving Average techniques. Accuracy of all three algorithms is compared using RMSE values

Key Words

stock prediction, moving average, linear regression, LSTM

Cite This Article

"ANALYSIS OF STOCK PRICE PREDICTION USING MACHINE LEARNING APPROACH", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.b608-b612, June-2021, Available :http://www.jetir.org/papers/JETIR2106226.pdf

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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

"ANALYSIS OF STOCK PRICE PREDICTION USING MACHINE LEARNING APPROACH", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppb608-b612, June-2021, Available at : http://www.jetir.org/papers/JETIR2106226.pdf

Publication Details

Published Paper ID: JETIR2106226
Registration ID: 310556
Published In: Volume 8 | Issue 6 | Year June-2021
DOI (Digital Object Identifier):
Page No: b608-b612
Country: vasai, Maharashtra, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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