Stock Market Data Prediction Using Neural Network

Sachine Kumawat , Mr. Pritesh Jain

Artificial neural systems, Image grouping investigation, Multi-layer neural system, Prediction strategies, and Stock markets.

in the proposed work, we showed an Artificial Neural Network approach to manage anticipate the offer exchanging framework records. We portrayed out the layout of the Neural Network show with its striking features and movable parameters. A portion of the order limits are executed nearby the decisions for the cross endorsement sets. We finally test our count on the Nifty stock record dataset where we foresee the characteristics dependent on qualities from the earlier days. We achieve a best case accuracy of 96% on the dataset.

Published Paper   E-Certificate

"Stock Market Data Prediction Using Neural Network", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.3, Issue 11, page no.288 - 294, November-2018, Available :https://ijsdr.org/papers/IJSDR1811049.pdf

Volume 3 Issue 11, November-2018

Pages : 288 - 294

Paper Reg. ID: IJSDR_180817

Published Paper Id: IJSDR1811049

Downloads: 000347186

Research Area: Engineering

Country: -, -, -

Published Paper PDF: https://ijsdr.org/papers/IJSDR1811049

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1811049

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition