International Journal of Mathematical Sciences and Computing(IJMSC)

ISSN: 2310-9025 (Print), ISSN: 2310-9033 (Online)

Published By: MECS Press

IJMSC Vol.8, No.1, Feb. 2022

EUR/USD Exchange Rate Prediction Using Machine Learning

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Md. Soumon Aziz Sarkar, U.A. Md. Ehsan Ali

Index Terms

Artificial Intelligence, Foreign Exchange Rate, EUR/USD, Forex Market, Machine Learning, Linear Regression.


Nowadays artificial intelligence is used in almost every sector of our day-to-day life. AI is used in preventative maintenance, quality control, demand forecasting, rapid prototyping, and inventory management among other places. Also, its use in the economic market has gained widespread. The use of artificial intelligence has made a huge contribution to price forecasting in the currency market or the stock market. This research work explores and analyzes the use of machine learning techniques as a linear regression in the EUR/USD exchange rate in the global forex market to predict future movements and compare daily and hourly data forecasts. As a reason for comparison, linear regression was applied in both hourlies and daily's almost equivalent data sets of the EUR/USD exchange rate and showed differences in results. Which has opened a new door of research on this market. It has been found that the percentage of accuracy of the daily data forecast is higher than the hourly data forecast at the test stage. 

Cite This Paper

Md. Soumon Aziz Sarkar, U.A. Md. Ehsan Ali," EUR/USD Exchange Rate Prediction Using Machine Learning ", International Journal of Mathematical Sciences and Computing(IJMSC), Vol.8, No.1, pp. 44-48, 2022. DOI: 10.5815/ijmsc.2022.01.05


[1]Dinesh K. Sharma, H.S. Hota, and Richa Handa, “Prediction of foreign exchange rate using regression techniques”, Review of Business and Technology Research, Vol. 14, No. 1, ISSN1941-9414, 2017.

[2]Konstantinos Theofilatos, Spiros Likothanassis, and Andreas Karathanasopoulos, “Modeling and Trading the EUR/USD      Exchange Rate Using Machine Learning Techniques”, ETASR - Engineering, Technology & Applied Science Research, Vol. 2, No. 5, 269-272, 2012.

[3]Kei Shioda, Shangkun Deng, and Akito Sakurai, “Prediction of Foreign Exchange Market States with Support Vector Machine”, 10th International Conference on Machine Learning and Applications and Workshops, Dec 18-21, 2011.

[4]Swagat Ranjit, Shruti Shrestha, Sital Subedi, and Subarna Shakya,” Comparison of algorithms in Foreign Exchange Rate Prediction”, IEEE 3rd International Conference on Computing, Communication and Security (ICCCS), Kathmandu (Nepal), 2018.

[5]Christian L. Dunis, and Mark Williams, “Modelling and Trading the EUR/USD Exchange Rate: Do Neural Network Models Perform Better”, Derivatives use, trading and regulation,, February 2002. 

[6]Dr Gu Wang, and Dr Joerg Oesterrider, “Currency Risk Management Predicting the EUR/USD Exchange Rate”, Worcester Polytechnic Institute Zurich School of Applied Sciences (ZHAW), April 26, 2018.

[7]Tadashi Iokibe, Shoji Murata, and Masaya Koyama, “Prediction of Foreign Exchange Rate by Local Fuzzy Reconstruction   Method”, IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century, Vancouver, BC, Canada, Oct 22-25, 1995.

[8]Sitti Wetenriajeng Sidehabi, Indrabayu, and Sofyan Tandungan, “Statistical and Machine Learning Approach in Forex Prediction Based on Empirical Data”, International Conference on Computational Intelligence and Cybernetics, Makassar, Indonesia, Nov 22-24, 2016.

[9]Y. Lei, N. Li, S. Gontarz, J. Lin, S. Radkowski, and J. Dybala, “A Model-Based Method for Remaining Useful Life Prediction of Machinery,” IEEE Trans. Reliab., vol. 65, no. 3, pp. 1314–1326, 2016.

[10]P.D. Yoo, M.H. Kim, and T. Jan, "Machine Learning Techniques and Use of Event Information for Stock Market Prediction: A   Survey and Evaluation", International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06), Vienna, Austria, Nov 28-30, 2005.