An Empirical Study on Machine Learning Approaches for Indian Stock Market Forecasting.

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Title: An Empirical Study on Machine Learning Approaches for Indian Stock Market Forecasting.
Authors: Shukla, Nirav1, niravshukla@cpi.edu.in, Dahiya, Vishal2, director-i-mca@cpi.edu.in
Source: Journal of Applied Information Science; 2026, Vol. 14 Issue 1, p1-6, 6p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: An Empirical Study on Machine Learning Approaches for Indian Stock Market Forecasting.
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  Data: <searchLink fieldCode="AU" term="%22Shukla%2C+Nirav%22">Shukla, Nirav</searchLink><relatesTo>1</relatesTo>, <i>niravshukla@cpi.edu.in</i><br /><searchLink fieldCode="AU" term="%22Dahiya%2C+Vishal%22">Dahiya, Vishal</searchLink><relatesTo>2</relatesTo>, <i>director-i-mca@cpi.edu.in</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Applied+Information+Science%22">Journal of Applied Information Science</searchLink>; 2026, Vol. 14 Issue 1, p1-6, 6p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=192161211
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      – Type: doi
        Value: 10.21863/jais/2026.14.1.001
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      – Code: eng
        Text: English
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        PageCount: 6
        StartPage: 1
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      – TitleFull: An Empirical Study on Machine Learning Approaches for Indian Stock Market Forecasting.
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            NameFull: Shukla, Nirav
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            NameFull: Dahiya, Vishal
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            – D: 01
              M: 01
              Text: 2026
              Type: published
              Y: 2026
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