Agustinus Noertjahyana, Zuraida Abal Abas, Zeratul Izzah Mohd. Yusoh, M. Zainal Arifin
Many people are trading in the forex market during the COVID-19 pandemic with the hope of earning money, but they are experiencing shortages due to the lack of information and technology-based tools for existing daily data. Sometimes traders only use moving averages in trading data, even though this information needs to be processed again to get the right inflection point. The objective of this research is to find inflection points based on Forex trading database. Another algorithm can also be used to determine the inflection point between two points on a moving average. This can be supported by the Bisection method used because it can guarantee that convergence will occur. The results show that the points resulting from the bisection calculation on the moving average provide a fairly accurate decision support for the location where the inflection point is located. From 10,000 data there is a standard deviation of 0.71 points which is very small compared to an average of 20 pips (points used as the difference in price values in forex). The use of the bisection method provides an accuracy of the results in seeing the inflection point of 87%. © 2023,International Journal of Advanced Computer Science and Applications. All Rights Reserved.
Informatics Department, Petra Christian University, Surabaya, Indonesia; Faculty of Information & Communication Technology, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia; Informatics Department, State University of Malang, Malang, Indonesia
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