Predicting High Volatility Cryptocurrency Prices using Deep Learning

dc.contributor.author	Ito, Tsutomu
dc.contributor.author	Hasebe, Kodai
dc.contributor.author	Hamakawa, Fumito
dc.contributor.author	Biki, Bidesh Biswas
dc.contributor.author	Ikeda, Satoshi
dc.contributor.author	Takei, Amane
dc.contributor.author	Sakamoto, Makoto
dc.contributor.author	Riajuliislam, Md
dc.contributor.author	Shital, Sabrina Bari
dc.contributor.author	Ito, Takao
dc.date.accessioned	2025-02-23T05:15:50Z
dc.date.available	2025-02-23T05:15:50Z
dc.date.issued	2024-01-15
dc.identifier.uri	http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/13704
dc.description.abstract	Even if you want to make a profit from cryptocurrency, you are worried that you will lose money, and it is difficult to afford it. There are a vast number of papers that study such unpredictable price fluctuations of cryptocurrency. Currently, it is mainstream to use learning deep to predict the price of cryptocurrency. The goal of this research is to predict the price of cryptocurrency over the long-term using deep learning. The algorithms used are LSTM, GRU, and Bi-LSTM. The targeted cryptocurrencies are Bitcoin, Ethereum, Litecoin, and Cardano. Finally, we will compare it with previous research and verify the performance of our model.	en_US
dc.language.iso	en_US	en_US
dc.publisher	Elsevier	en_US
dc.subject	Cryptocurrency	en_US
dc.subject	Deep learning	en_US
dc.title	Predicting High Volatility Cryptocurrency Prices using Deep Learning	en_US
dc.type	Animation	en_US