Paper Title
A Novel Web Application for Stock Market Analysis and Prediction Using Machine Learning Methods.
Article Identifiers
Authors
Pradeep B M , Prasanna G
Keywords
SMAP, News portal and general stock-related chatbot, Deep Neural Network (DNN)
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.
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How To Cite (APA)
Pradeep B M & Prasanna G (March-2023). A Novel Web Application for Stock Market Analysis and Prediction Using Machine Learning Methods.. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(3), b111-b117. https://ijnrd.org/papers/IJNRD2303118.pdf
Issue
Volume 8 Issue 3, March-2023
Pages : b111-b117
Other Publication Details
Paper Reg. ID: IJNRD_188534
Published Paper Id: IJNRD2303118
Downloads: 000121992
Research Area: Computer Science & TechnologyÂ
Country: MYSORE, KARNATAKA, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2303118.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2303118
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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