UGC Approved Journal no 63975(19)

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

Volume 10 Issue 8
August-2023
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2308126


Registration ID:
520489

Page Number

b213-b219

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Title

Machine-Learning-Based Prediction of Stock Market Prices

Abstract

Investment corporations, hedge funds, and even individual investors must study financial models to understand market behavior and build profitable investments and trades. Investors usually produce educated guesses by analyzing information about old stock prices, the company’s performance behavior, etc. The initial phase of revealing theories in the guesswork indicates that stock unit prices are entirely random and unpredictable. In the betterment of the guesswork, quantitative analysts get deployed to make prophetic models. The paper focuses on using machine learning techniques to develop better models for enabling appropriate recommendations for financial investments.

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"Machine-Learning-Based Prediction of Stock Market Prices", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 8, page no.b213-b219, August-2023, Available :http://www.jetir.org/papers/JETIR2308126.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

"Machine-Learning-Based Prediction of Stock Market Prices", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 8, page no. ppb213-b219, August-2023, Available at : http://www.jetir.org/papers/JETIR2308126.pdf

Publication Details

Published Paper ID: JETIR2308126
Registration ID: 520489
Published In: Volume 10 | Issue 8 | Year August-2023
DOI (Digital Object Identifier):
Page No: b213-b219
Country: Solapur, Maharashtra, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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