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Detecting buying and selling territories in the foreign currency exchange market

Detecting buying and selling territories in the foreign currency exchange market

Islam, Tuba and Kapinchev, Konstantin (2023) Detecting buying and selling territories in the foreign currency exchange market. In: 2023 16th International Conference on Signal Processing and Communication System (ICSPCS) 6th - 8th September 2023, Bydgoszcz, Poland. IEEE Xplore . Institute of Electrical and Electronics Engineers (IEEE), Piscataway, New Jersey. ISBN 979-8350333510; 979-8350333503; 979-8350333527 (doi:https://doi.org/10.1109/ICSPCS58109.2023.10261149)

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Abstract

The foreign currency exchange market is known for its unpredictability, making it a challenging environment for traders. The possibility to forecast with a certain degree of accuracy the directions of future price movements is a key component of successful trading. This paper presents a financial model, based on novel trading strategy. This strategy combines technical indicators, such as Moving Average and Relative Strength Index, which are calculated based on historical market data. Based on these technical indicators, buy and sell signals can be generated. These signals help define buying and selling territories within the data. As a result, the proposed financial model can identify potentially profitable trading opportunities, which can be applied in the foreign currency exchange market.

Item Type: Conference Proceedings
Title of Proceedings: 2023 16th International Conference on Signal Processing and Communication System (ICSPCS) 6th - 8th September 2023, Bydgoszcz, Poland
Uncontrolled Keywords: communication systems, signal processing, indexes, currencies, technical indicators, moving average, relative strength index, buy and sell signals
Subjects: H Social Sciences > H Social Sciences (General)
H Social Sciences > HD Industries. Land use. Labor
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Last Modified: 10 Oct 2024 11:35
URI: http://gala.gre.ac.uk/id/eprint/44386

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