A Novel Web Application for Stock Market Analysis and Prediction Using Machine Learning Methods.
SMAP, News portal and general stock-related chatbot, Deep Neural Network (DNN)
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.
"A Novel Web Application for Stock Market Analysis and Prediction Using Machine Learning Methods.", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 3, page no.b111-b117, March-2023, Available :https://ijnrd.org/papers/IJNRD2303118.pdf
Volume 8
Issue 3,
March-2023
Pages : b111-b117
Paper Reg. ID: IJNRD_188534
Published Paper Id: IJNRD2303118
Downloads: 000118835
Research Area: Computer Science & Technology
Country: MYSORE, KARNATAKA, India
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
Publisher: IJNRD (IJ Publication) Janvi Wave
