EconPapers    
Economics at your fingertips  
 

My Data: A new Prediction Model Simulator for Stock Market

Essam El. Seidy and Razan A. Jamous

International Journal of Financial Markets, 2016, vol. 2, issue 4, 122-130

Abstract: Over the last few decades, the average persons interest in the stock market has grown exponentially. This demand coupled with advances in trading technology has opened up the markets so that nowadays nearly anybody can own stocks, and use many types of software to perform the aspired profit with minimum risk. Consequently, a lot of attention has been devoted to the analysis and prediction of future values and trends of the financial markets, and due to large applications in different business transactions, stock market prediction has become a hot topic of research. In this paper, a new prediction model simulator for stock market called My Data is proposed to predict the high, low, and close price and compare it with actual prices to help in decision making of selling or buying. The results of prediction of the prices achieve very high prediction accuracy.

Date: 2016
References: Add references at CitEc
Citations:

Downloads: (external link)
http://rassweb.org/admin/pages/ResearchPapers/Paper%202_1495832661.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:rss:jnljfm:v2i4p2

Access Statistics for this article

More articles in International Journal of Financial Markets from Research Academy of Social Sciences
Bibliographic data for series maintained by Danish Khalil ().

 
Page updated 2025-03-19
Handle: RePEc:rss:jnljfm:v2i4p2