Assessing the level of competence in automated trading among Malaysian traders

Zarith Sofia, Zulkifli and Hairuddin, Mohammad and Miswan, Surip and Nurnadiah, Zamri and Mustafa, Mamat and Sahimel Azwal, Sulaiman (2023) Assessing the level of competence in automated trading among Malaysian traders. Journal of Soft Computing and Data Mining, 4 (2). pp. 23-34. ISSN 2716-621X. (Published)

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Abstract

In today's technology world, financial trading instrument such as stock, currencies, futures, and acts is now done electronically via the internet due to technological improvements. Financial market trading traders apply technical and fundamental analyses to forecast the best price when buying or selling the finance instrument, and they develop their trading tactics and strategies with technical analysis tools. The objective of this research is to figure out the level of competence that Malaysian retail traders have in Automated or Algorithmic Trading (AT) focusing on currency trading. The searches were conducted on a sample of Malaysian retail traders. The viewpoints of retail traders were investigated using a questionnaire designed specifically for this purpose. The data was analyzed using statistical software (SPSS). The findings of this study reveal that Malaysian traders have an excellent comprehension of AT. This study is useful for traders and researchers who want to design their own AT systems in the future.

Item Type: Article
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Algorithmic trading; Automated trading; Competence; Foreign exchange; Malaysian survey
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics
Faculty/Division: Center for Mathematical Science
Depositing User: Mr Muhamad Firdaus Janih@Jaini
Date Deposited: 07 Jan 2025 04:58
Last Modified: 07 Jan 2025 04:58
URI: http://umpir.ump.edu.my/id/eprint/42857
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