Stacking with Neural network for Cryptocurrency investment
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References listed on IDEAS
- Pavel Ciaian & Miroslava Rajcaniova & d’Artis Kancs, 2016.
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- Pavel Ciaian & Miroslava Rajcaniova & d'Artis Kancs, 2014. "The Economics of BitCoin Price Formation," Papers 1405.4498, arXiv.org.
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Cited by:
- Ivan Letteri & Giuseppe Della Penna & Giovanni De Gasperis & Abeer Dyoub, 2022. "DNN-ForwardTesting: A New Trading Strategy Validation using Statistical Timeseries Analysis and Deep Neural Networks," Papers 2210.11532, arXiv.org.
- Fan Fang & Carmine Ventre & Michail Basios & Leslie Kanthan & David Martinez-Rego & Fan Wu & Lingbo Li, 2022. "Cryptocurrency trading: a comprehensive survey," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-59, December.
- Ahmed M. Khedr & Ifra Arif & Pravija Raj P V & Magdi El‐Bannany & Saadat M. Alhashmi & Meenu Sreedharan, 2021. "Cryptocurrency price prediction using traditional statistical and machine‐learning techniques: A survey," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 28(1), pages 3-34, January.
- Fan Fang & Carmine Ventre & Michail Basios & Leslie Kanthan & Lingbo Li & David Martinez-Regoband & Fan Wu, 2020. "Cryptocurrency Trading: A Comprehensive Survey," Papers 2003.11352, arXiv.org, revised Jan 2022.
- David Zhao & Alessandro Rinaldo & Christopher Brookins, 2019. "Cryptocurrency Price Prediction and Trading Strategies Using Support Vector Machines," Papers 1911.11819, arXiv.org, revised Nov 2019.
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NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2019-02-25 (Big Data)
- NEP-CMP-2019-02-25 (Computational Economics)
- NEP-PAY-2019-02-25 (Payment Systems and Financial Technology)
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