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A Guide to stock-trading decision Making based on popular Technical Indicators

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dc.contributor.author Kouatli, Issam
dc.contributor.author Yunis, Manal
dc.date.accessioned 2026-02-20T14:29:25Z
dc.date.available 2026-02-20T14:29:25Z
dc.date.copyright 2021 en_US
dc.date.issued 2021
dc.identifier.isbn 9781665416344 en_US
dc.identifier.uri http://hdl.handle.net/10725/17722
dc.description.abstract The purpose of this paper is to review the different mechanisms of decision-making when making a trade in the stock market industry. Decisions of “sell” and “buy” are highly dependent on the type of data collected which are mainly divided into two main types: “trend following” and “mean revert”. Different Technical Analysis (TA) indicators are used by professionals in the stock trade industry as an aid towards taking a decision. This paper reviews these technical indicators and suggest a strategy to identify and adopt the right technical indicator based on the data behavior. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.subject Decision making -- Mathematical models -- Congresses en_US
dc.subject Multiple criteria decision making -- Congresses en_US
dc.subject System analysis -- Congresses en_US
dc.title A Guide to stock-trading decision Making based on popular Technical Indicators en_US
dc.type Conference Paper / Proceeding en_US
dc.author.school AKSOB en_US
dc.author.idnumber 198401540 en_US
dc.author.department Department of Information Technology And Operations Management en_US
dc.identifier.doi https://doi.org/10.1109/DASA53625.2021.9682337 en_US
dc.identifier.ctation Kouatli, I., & Yunis, M. (2021, December). A guide to stock-trading decision making based on popular technical indicators. In 2021 International conference on decision aid sciences and application (DASA) (pp. 283-287). IEEE. en_US
dc.author.email myunis@lau.edu.lb en_US
dc.conference.date 07-08 December, 2021 en_US
dc.conference.pages 283-287 en_US
dc.conference.place Sakheer, Bahrain en_US
dc.conference.title 2021 International conference on decision aid sciences and application (DASA) en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php en_US
dc.identifier.url https://ieeexplore.ieee.org/abstract/document/9682337 en_US
dc.orcid.id https://orcid.org/0000-0001-5545-7241 en_US
dc.publication.date 2021 en_US
dc.author.affiliation Lebanese American University en_US


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