Predicting High Volatility Cryptocurrency Prices using Deep Learning

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dc.contributor.authorIto, Tsutomu
dc.contributor.authorHasebe, Kodai
dc.contributor.authorHamakawa, Fumito
dc.contributor.authorBiki, Bidesh Biswas
dc.contributor.authorIkeda, Satoshi
dc.contributor.authorTakei, Amane
dc.contributor.authorSakamoto, Makoto
dc.contributor.authorRiajuliislam, Md
dc.contributor.authorShital, Sabrina Bari
dc.contributor.authorIto, Takao
dc.date.accessioned2025-02-23T05:15:50Z
dc.date.available2025-02-23T05:15:50Z
dc.date.issued2024-01-15
dc.description.abstractEven 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.
dc.identifier.otherhttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/13704
dc.identifier.urihttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/13704
dc.language.isoen_US
dc.publisherElsevier
dc.sourceDIU Institutional Repository
dc.subjectCryptocurrency
dc.subjectDeep learning
dc.titlePredicting High Volatility Cryptocurrency Prices using Deep Learning
dc.typeAnimation

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