Assessing the level of competence in automated trading among Malaysian traders

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Zarith Sofia, Zulkifli, Hairuddin, Mohammad, Miswan, Surip, Nurnadiah, Zamri, Mustafa, Mamat, Sahimel Azwal, Sulaiman
Format: Article
Language:English
English
Published: Penerbit UTHM 2023
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/42857/1/Assessing%20the%20level%20of%20competence%20in%20automated%20trading.pdf
http://umpir.ump.edu.my/id/eprint/42857/2/Assessing%20the%20level%20of%20competence%20in%20automated%20trading%20among%20Malaysian%20traders_ABS.pdf
http://umpir.ump.edu.my/id/eprint/42857/
https://doi.org/10.30880/jscdm.2023.04.02.002
https://doi.org/10.30880/jscdm.2023.04.02.002
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.ump.umpir.42857
record_format eprints
spelling my.ump.umpir.428572025-01-07T04:58:04Z http://umpir.ump.edu.my/id/eprint/42857/ Assessing the level of competence in automated trading among Malaysian traders Zarith Sofia, Zulkifli Hairuddin, Mohammad Miswan, Surip Nurnadiah, Zamri Mustafa, Mamat Sahimel Azwal, Sulaiman Q Science (General) QA Mathematics 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. Penerbit UTHM 2023-10-03 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/42857/1/Assessing%20the%20level%20of%20competence%20in%20automated%20trading.pdf pdf en http://umpir.ump.edu.my/id/eprint/42857/2/Assessing%20the%20level%20of%20competence%20in%20automated%20trading%20among%20Malaysian%20traders_ABS.pdf 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) https://doi.org/10.30880/jscdm.2023.04.02.002 https://doi.org/10.30880/jscdm.2023.04.02.002
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic Q Science (General)
QA Mathematics
spellingShingle Q Science (General)
QA Mathematics
Zarith Sofia, Zulkifli
Hairuddin, Mohammad
Miswan, Surip
Nurnadiah, Zamri
Mustafa, Mamat
Sahimel Azwal, Sulaiman
Assessing the level of competence in automated trading among Malaysian traders
description 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.
format Article
author Zarith Sofia, Zulkifli
Hairuddin, Mohammad
Miswan, Surip
Nurnadiah, Zamri
Mustafa, Mamat
Sahimel Azwal, Sulaiman
author_facet Zarith Sofia, Zulkifli
Hairuddin, Mohammad
Miswan, Surip
Nurnadiah, Zamri
Mustafa, Mamat
Sahimel Azwal, Sulaiman
author_sort Zarith Sofia, Zulkifli
title Assessing the level of competence in automated trading among Malaysian traders
title_short Assessing the level of competence in automated trading among Malaysian traders
title_full Assessing the level of competence in automated trading among Malaysian traders
title_fullStr Assessing the level of competence in automated trading among Malaysian traders
title_full_unstemmed Assessing the level of competence in automated trading among Malaysian traders
title_sort assessing the level of competence in automated trading among malaysian traders
publisher Penerbit UTHM
publishDate 2023
url http://umpir.ump.edu.my/id/eprint/42857/1/Assessing%20the%20level%20of%20competence%20in%20automated%20trading.pdf
http://umpir.ump.edu.my/id/eprint/42857/2/Assessing%20the%20level%20of%20competence%20in%20automated%20trading%20among%20Malaysian%20traders_ABS.pdf
http://umpir.ump.edu.my/id/eprint/42857/
https://doi.org/10.30880/jscdm.2023.04.02.002
https://doi.org/10.30880/jscdm.2023.04.02.002
_version_ 1822924891398078464
score 13.235362