IIIS - 2023 Conferences Proceedings

2023 Summer Conferences Proceedings

	Optimizing Multivariate LSTM Networks for Improved Cryptocurrency Market Analysis Mohamed O. Ben Miloud, Eunjin Kim Proceedings of the 27th World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2023, pp. 83-88 (2023); https://doi.org/10.54808/WMSCI2023.01.83	The 27th World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2023 Virtual Conference September 12 - 15, 2023 Proceedings of WMSCI 2023 ISSN: 2771-0947 (Print) ISBN (Volume): 978-1-950492-73-2 (Print)
	Authors Information \| Citation \| Full Text \| Mohamed O. Ben Miloud School of Electrical Engineering & Computer Science, University of North Dakota, Grand Forks, North Dakota, United States Eunjin Kim School of Electrical Engineering & Computer Science, University of North Dakota, Grand Forks, North Dakota, United States Cite this paper as: Ben Miloud, M. O., Kim, E. (2023). Optimizing Multivariate LSTM Networks for Improved Cryptocurrency Market Analysis. In N. Callaos, E. Gaile-Sarkane, S. Hashimoto, N. Lace, B. Sánchez, M. Savoie (Eds.), Proceedings of the 27th World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2023, pp. 83-88. International Institute of Informatics and Cybernetics. https://doi.org/10.54808/WMSCI2023.01.83 DOI: 10.54808/WMSCI2023.01.83 ISBN: 978-1-950492-73-2 (Print) ISSN: 2771-0947 (Print) Copyright: © International Institute of Informatics and Systemics 2023 Publisher: International Institute of Informatics and Cybernetics
Abstract Although cryptocurrency has gained popularity as an investment alternative, investors may find it challenging to manage the market due to its high level of volatility. This study focused on Bitcoin and Ethereum over six months and collected and evaluated data on four critical characteristics to assist investors in making more educated decisions. The study discovered that thorough market knowledge is essential and that combining cutting-edge analytical methods like multivariate LSTM networks and Differential Evolution (DE) can improve accuracy and reduce risk in investment decisions. Investors can alter their investments by using data analysis to picture market movements and pinpoint important trends comprehensively. The research represents a significant advancement in the cryptocurrency market analysis and offers insightful information on the variables affecting Bitcoin's market value. It provides a trustworthy tool for investors to make informed investment decisions in a complex and erratic market. Using cutting-edge analytical tools, investors can increase their chances of success in this vibrant and quickly changing market.
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