Using Hybrid CNN-LSTM Architecture to Predict Bitcoin Price

Additional Metadata
Keywords	Bitcoin, Machine Learning, Cryptocurrency Returns, LSTM, CNN, CNN-LSTM, Trading
Thesis Advisor	Bongaerts, Dion, van Daalen, Roger
Persistent URL	hdl.handle.net/2105/74050
Series	Business Analytics & Management
Organisation	Rotterdam School of Management
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Jánosi, Thomas. (2024, July 23). Using Hybrid CNN-LSTM Architecture to Predict Bitcoin Price. Business Analytics & Management. Retrieved from http://hdl.handle.net/2105/74050

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