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IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: May 2024

Volume 9 | Issue 5

Impact factor: 8.15

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Paper Title: Stock Prediction Using Machine Learning Algorithms
Authors Name: Ashutosh Kumar , Hemlata
Unique Id: IJSDR2401071
Published In: Volume 9 Issue 1, January-2024
Abstract: Every day more than 5000 trade companies enlisted in Bombay stock Exchange (BSE) offer an average of 24,00,00,000+ stocks, making an approximate of 2000Cr+ Indian rupees in investments. Thus analyzing such a huge market will prove beneficial to all stakeholders of the system. An application which focuses on the patterns generated in this stock trade over the period of time, and extracting the knowledge from those patterns to predict future behavior of the BSE stock market is essential. An application representing the information in visual form for user interpretation to buy and to sell a specific company’s stock is a key requirement. Such an application based on machine learning algorithms is the right choice in current scenario. This paper surveys the machine learning algorithms suitable for such an application; as well it discusses what are the current tools and techniques appropriate for its implementation.
Keywords: Support Vector Machine (SVM), Support Vector Regression (SVR) and stock market
Cite Article: "Stock Prediction Using Machine Learning Algorithms", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.9, Issue 1, page no.483 - 490, January-2024, Available :http://www.ijsdr.org/papers/IJSDR2401071.pdf
Downloads: 000338719
Publication Details: Published Paper ID: IJSDR2401071
Registration ID:209934
Published In: Volume 9 Issue 1, January-2024
DOI (Digital Object Identifier):
Page No: 483 - 490
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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