Integrated Mobile Application Based on Machine Learning for East Africa Stock Market

Alban Manishimwe; Happyness Alexander; Hillary Kaluuma; Mussa Ally Dida

doi:10.21601/jisem/11008

Integrated Mobile Application Based on Machine Learning for East Africa Stock Market

Alban Manishimwe ¹ ^* , Happyness Alexander ¹, Hillary Kaluuma ¹, Mussa Ally Dida ¹

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¹ The Nelson Mandela African Institution of Science and Technology, TANZANIA
^* Corresponding Author

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Research Article

Journal of Information Systems Engineering and Management, 2021 - Volume 6 Issue 3, Article No: em0143
https://doi.org/10.21601/jisem/11008

Published Online: 23 Jun 2021

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APA 6th edition

In-text citation: (Manishimwe et al., 2021)
Reference: Manishimwe, A., Alexander, H., Kaluuma, H., & Dida, M. A. (2021). Integrated Mobile Application Based on Machine Learning for East Africa Stock Market. Journal of Information Systems Engineering and Management, 6(3), em0143. https://doi.org/10.21601/jisem/11008

Vancouver

In-text citation: (1), (2), (3), etc.
Reference: Manishimwe A, Alexander H, Kaluuma H, Dida MA. Integrated Mobile Application Based on Machine Learning for East Africa Stock Market. J INFORM SYSTEMS ENG. 2021;6(3):em0143. https://doi.org/10.21601/jisem/11008

AMA 10th edition

In-text citation: (1), (2), (3), etc.
Reference: Manishimwe A, Alexander H, Kaluuma H, Dida MA. Integrated Mobile Application Based on Machine Learning for East Africa Stock Market. J INFORM SYSTEMS ENG. 2021;6(3), em0143. https://doi.org/10.21601/jisem/11008

Chicago

In-text citation: (Manishimwe et al., 2021)
Reference: Manishimwe, Alban, Happyness Alexander, Hillary Kaluuma, and Mussa Ally Dida. "Integrated Mobile Application Based on Machine Learning for East Africa Stock Market". Journal of Information Systems Engineering and Management 2021 6 no. 3 (2021): em0143. https://doi.org/10.21601/jisem/11008

Harvard

In-text citation: (Manishimwe et al., 2021)
Reference: Manishimwe, A., Alexander, H., Kaluuma, H., and Dida, M. A. (2021). Integrated Mobile Application Based on Machine Learning for East Africa Stock Market. Journal of Information Systems Engineering and Management, 6(3), em0143. https://doi.org/10.21601/jisem/11008

MLA

In-text citation: (Manishimwe et al., 2021)
Reference: Manishimwe, Alban et al. "Integrated Mobile Application Based on Machine Learning for East Africa Stock Market". Journal of Information Systems Engineering and Management, vol. 6, no. 3, 2021, em0143. https://doi.org/10.21601/jisem/11008

ABSTRACT

Regional Integration refers to the process of states coming together to sign agreements where they agree to cooperate in certain areas common to them. The East African Community (EAC) which was founded on November 30, 1999, identified three integration pillars; common Market protocol, customs union and political federation. In attempt to achieve the named pillars, financial markets have been identified as a key driver for common market and customs union. The challenge however is that the East African countries run the most expensive stocks on the African Continent and this has greatly influenced trade volumes and investor appetite. When these markets are integrated it allows collective bargaining thereby increasing their market share across the region other than a given country running its own exchange. This paper presents a software platform that will enable an investor to purchase and sell stocks irrespective of any location in the East African Region thus spur the development of stock market in terms of volume and competitiveness.

KEYWORDS

stock market East African community prediction Android

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