Trading in Ethereum Perpetual: Predicting High and Low prices of next hour using Machine Learning Techniques

Additional Metadata
Keywords	Machine Learning; Prediction; Ethereum; Perpetual contracts; Financial Derivatives; Linear Regression; Support Vector Regression; Random Forest; LSTM; (Deep) Neural Networks; Model Averaging; Fintech
Thesis Advisor	Quaini, A
Persistent URL	hdl.handle.net/2105/67163
Series	Econometrie
Organisation	Erasmus School of Economics
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	Hsieh, S. (2023, July 18). Trading in Ethereum Perpetual: Predicting High and Low prices of next hour using Machine Learning Techniques. Econometrie. Retrieved from http://hdl.handle.net/2105/67163

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