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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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Issue: June 2023
Volume 8 | Issue 6
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 8
Issue Published : 85
Article Submitted : 7821
Article Published : 4002
Total Authors : 10443
Total Reviewer : 547
Total Countries : 81
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Paper Title: | A Review Paper on Stock Market Analysis and Prediction Algorithms |
Authors Name: | Aarti R. Ghodke , Prof. Nilesh Alone |
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IJRTI_181305
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Published Paper Id: | IJRTI2008001 |
Published In: | Volume 5 Issue 8, August-2020 |
DOI: | |
Abstract: | With expanding rivalry and pace in the budgetary markets, hearty gauging strategies are turning out to be increasingly more significant to speculators. While AI calculations offer a demonstrated method for displaying nonlinearity in time arrangement, their points of interest against basic stochastic models in the area of money related market expectation are to a great extent dependent on restricted experimental outcomes. Similar holds for deciding the benefits of certain AI models against others. This investigation overviews in excess of 150 related articles on applying AI to money related market determining. In view of an extensive writing audit, we assemble a table crosswise over seven primary parameters portraying the examinations led in these investigations. Through posting and grouping various calculations, we likewise present a basic, institutionalized linguistic structure for literarily speaking to AI calculations. In light of execution measurements accumulated from papers incorporated into the study, we further direct position investigations to evaluate the similar exhibition of various calculation classes. Our investigation shows that AI calculations will, in general, outflank most conventional stochastic strategies in the budgetary market anticipating. |
Keywords: | stock exchanges; stock markets; analysis; prediction; statistics; machine learning; pattern recognition; sentiment analysis |
Cite Article: | "A Review Paper on Stock Market Analysis and Prediction Algorithms ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.5, Issue 8, page no.1 - 6, August-2020, Available :http://www.ijrti.org/papers/IJRTI2008001.pdf |
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ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2008001
Registration ID:181305
Published In: Volume 5 Issue 8, August-2020
DOI (Digital Object Identifier):
Page No: 1 - 6 Country: Nashik, Maharashtra, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2008001 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2008001 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016
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