Vol.8, No.3, August 2019.                                                                                                                                                                                ISSN: 2217-8309

                                                                                                                                                                                                                        eISSN: 2217-8333

 

TEM Journal

 

TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS

Association for Information Communication Technology Education and Science

 

Stock Market Investment Fantasy Project

 

Yazeed Ghadi, Mohammad Ghadi

 

© 2019 Yazeed Ghadi, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)

 

Citation Information: TEM Journal. Volume 8, Issue 3, Pages 972-977, ISSN 2217-8309, DOI: 10.18421/TEM83-39, August 2019.

 

Received: 24 May 2019.

Revised:   18 July 2019.
Accepted: 24 July 2019.
Published:28 August 2019.

 

Abstract:

 

In this paper, we argue that the stock market can be conceived, somehow, as a fantasy league project if it is played well. Envisioning the stock market within the fantasy sports framework, can stimulate the stock market investment and improve the chances for success. The player or investors can view the stock market as a checking list of the stock and their performance before do one’ shopping. While the project was a software engineering item, the backend project has a front office website by which investors can see the stock and make a decision. This project will use the Nested IF-THEN-ELSE-END IF statements to check prices of specific stock at particular time, in order to make decision on buying, holding, or selling, according to its actual performance. A wide range of stock prices prediction approaches are used in addition to the event driven actions.

 

Keywords – Event-Driven, Fantasy League, Artificial Neural Network, Support Vector Machine, Genetic Algorithm, and Multiple Kernel Learning.

 

-----------------------------------------------------------------------------------------------------------

Full text PDF >  

-----------------------------------------------------------------------------------------------------------

 


Copyright © 2012-2019 UIKTEN, All Rights reserved
Copyright licence: All articles are licenced via Creative Commons CC BY-NC-ND 4.0 licence