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

Kouatli, Issam; Yunis, Manal

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

Kouatli, Issam; Yunis, Manal

URI: http://hdl.handle.net/10725/17722

URL: https://ieeexplore.ieee.org/abstract/document/9682337

DOI: https://doi.org/10.1109/DASA53625.2021.9682337

Date: 2021

Terms of Use: This item is made available under the terms and conditions applicable to " Conference Paper / Proceeding ", as set forth at: http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php

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.

Citation:

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.

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