CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Prediction of Stock Market using Data Mining and Artificial Intelligence

by G. S. Navale, Nishant Dudhwala, Kunal Jadhav, Pawan Gabda, Brij Kishor Vihangam
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 134 - Number 12
Year of Publication: 2016
Authors: G. S. Navale, Nishant Dudhwala, Kunal Jadhav, Pawan Gabda, Brij Kishor Vihangam
10.5120/ijca2016907635

G. S. Navale, Nishant Dudhwala, Kunal Jadhav, Pawan Gabda, Brij Kishor Vihangam . Prediction of Stock Market using Data Mining and Artificial Intelligence. International Journal of Computer Applications. 134, 12 ( January 2016), 9-11. DOI=10.5120/ijca2016907635

@article{ 10.5120/ijca2016907635,
author = { G. S. Navale, Nishant Dudhwala, Kunal Jadhav, Pawan Gabda, Brij Kishor Vihangam },
title = { Prediction of Stock Market using Data Mining and Artificial Intelligence },
journal = { International Journal of Computer Applications },
issue_date = { January 2016 },
volume = { 134 },
number = { 12 },
month = { January },
year = { 2016 },
issn = { 0975-8887 },
pages = { 9-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume134/number12/23964-2016907635/ },
doi = { 10.5120/ijca2016907635 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:34:00.715152+05:30
%A G. S. Navale
%A Nishant Dudhwala
%A Kunal Jadhav
%A Pawan Gabda
%A Brij Kishor Vihangam
%T Prediction of Stock Market using Data Mining and Artificial Intelligence
%J International Journal of Computer Applications
%@ 0975-8887
%V 134
%N 12
%P 9-11
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Predicting anything is very hard where the relationship between inputs and outputs are non-linear in nature. The prediction of stock market values is one of a challenging task of financial time series. Online application for buying and selling the shares is used in high amounts these days. The next step of this web application will be not just registering, buying and selling the shares but it will also be predicting the values for particular shares in the market. We are proposing the system which will study the database of shares and will give predictions according to it. With the help of study of neural networks the system will be designed and based on. For prediction particularly ARMA (autoregressive-moving-average) algorithm is used. Hence the system will be able to give highest probability predictions for particular shares.

References
  1. Rohit Choudhry, Kumkum Garg, “A Hybrid Machine Learning System for Stock Market Forecasting” in International Journal of Computer, Electrical, Automation, Control and Information Engineering Vol:2,No:3,2008.
  2. Nann,Stefan , Krauss, Jonas, Schoder, Detlef , “Predictive Analytics on Public Data-The Case of Stock Markets” in the 21st European conference on Information Systems.
  3. Manjul Saini, A.K.Singh, “ Forecasting Stock Exchange Market and Weather Using Soft Computing” in International Journal of Advanced Research in Computer Science and Software Engineering.ISSN:2277 128x,Volume 4,Issue 5,May 2014.
  4. Farhad Soleimanian Gharehchopogh, Tahmineh Haddadi Bonab, Seyyed Reza Khaze, “ A LINEAR REGRESSION APPROACH TO PREDICTION OF STOCK MARKET TRADING VOLUME: A CASE STUDY” in International Journal of Managing Value and Supply Chains (IJMVSC) Vol.4, No. 3, September 2013.
  5. Ms. Hiral R. Patel, Mr. Amit B. Suthar, Dr. Satyen M. Parikh, “ A Proposed Prediction Model for Forecasting the Financial Market Value According to Diversity in Factor” in Int. J. Computer Technology & Applications, Vol 5 (1),131-135.
  6. K. Senthamarai Kannan, P. Sailapathi Sekar, M.Mohamed Sathik and P. Arumugam, “Financial Stock Market Forecast using Data Mining Techniques” in the International MultiConference of Engineers and Computer Scientists 2010 Vol I,IMECS 2010, March 17-19,2010, Hong Kong.ISSN:2078-0966(Online).
  7. Zahid Iqbal, R. Ilyas, W. Shahzad, Z. Mahmood and J. Anjum, “ Efficient Machine Learning Techniques for Stock Market Prediction” in Int. Journal of Engineering Research and Applications, ISSN : 2248-9622, Vol. 3, Issue 6, Nov-Dec 2013, pp.855-867.
  8. Marc-André Mittermaye, “Forecasting Intraday Stock Price Trends with Text Mining Techniques” in the 37th Hawaii International Conference on System Sciences – 2004.
  9. Ruchi Desai, Prof. Snehal Gandhi, “Stock Market Prediction Using Data Mining” in International Journal of Engineering Development and Research, 2014 IJEDR | Volume 2, Issue 2 | ISSN: 2321-9939.
  10. Prakash Ramani, Dr. P. D. Murarka, “Stock Market Prediction Using Artificial Neural Network” in International Journal of Advanced Research in Computer Science and Software Engineering. ISSN: 2277-128x, Volume 3, Issue 4, April 2013
Index Terms

Computer Science
Information Sciences

Keywords

Artificial Neural Network ARMA Algorithm News articles Text mining

Powered by PhDFocusTM