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IJNRD
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
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Impact Factor : 8.76

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Paper Title: A Novel Web Application for Stock Market Analysis and Prediction Using Machine Learning Methods.
Authors Name: Pradeep B M , Prasanna G
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IJNRD_188534
Published Paper Id: IJNRD2303118
Published In: Volume 8 Issue 3, March-2023
DOI:
Abstract: Stock Market Analysis and Prediction (SMAP) is a web-based application able to predict the stock prices of companies based on their market values and news sentiments surrounding the company. It is a portal where general stock market enthusiasts can keep track of their invested companies and are also able to instantly contact their brokers for purchases or sales of the stocks. The main application of this system however would be to predict the market values. Along with that, it has the features of a news portal and a general stock-related chatbot. Deep Neural Network (DNN), is used for stock market analysis and prediction. The algorithm’s main goal is to learn market trends by training with past data and predicting future value. The calculated values of the computational analysis i.e., prediction is used to display nearly accurate result.
Keywords: SMAP, News portal and general stock-related chatbot, Deep Neural Network (DNN)
Cite Article: "A Novel Web Application for Stock Market Analysis and Prediction Using Machine Learning Methods.", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 3, page no.b111-b117, March-2023, Available :http://www.ijnrd.org/papers/IJNRD2303118.pdf
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ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID:IJNRD2303118
Registration ID: 188534
Published In: Volume 8 Issue 3, March-2023
DOI (Digital Object Identifier):
Page No: b111-b117
Country: MYSORE, KARNATAKA, India
Research Area: Computer Science & Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2303118
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2303118
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

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