Hybrid data decomposition-based deep learning for Bitcoin prediction and algorithm trading
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DOI: 10.1186/s40854-022-00336-7
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- David Garcia & Claudio Juan Tessone & Pavlin Mavrodiev & Nicolas Perony, 2014. "The digital traces of bubbles: feedback cycles between socio-economic signals in the Bitcoin economy," Papers 1408.1494, arXiv.org.
- Atsalakis, George S. & Atsalaki, Ioanna G. & Pasiouras, Fotios & Zopounidis, Constantin, 2019.
"Bitcoin price forecasting with neuro-fuzzy techniques,"
European Journal of Operational Research, Elsevier, vol. 276(2), pages 770-780.
- George S. Atsalakis & Ioanna G. Atsalaki & Fotios Pasiouras & Constantin Zopounidis, 2019. "Bitcoin price forecasting with neuro-fuzzy techniques," Post-Print hal-02879928, HAL.
- Yechen Zhu & David Dickinson & Jianjun Li, 2017. "Erratum to: Analysis on the influence factors of Bitcoin’s price based on VEC model," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 3(1), pages 1-1, December.
- Dirk G. Baur & Thomas Dimpfl, 2019. "Price discovery in bitcoin spot or futures?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(7), pages 803-817, July.
- Liu, Li, 2019. "Are Bitcon returns predictable?: Evidence from technical indicators," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 533(C).
- Fenghua Wen & Xin Yang & Xu Gong & Kin Keung Lai, 2017. "Multi-Scale Volatility Feature Analysis and Prediction of Gold Price," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(01), pages 205-223, January.
- Yu, Lean & Wang, Zishu & Tang, Ling, 2015. "A decomposition–ensemble model with data-characteristic-driven reconstruction for crude oil price forecasting," Applied Energy, Elsevier, vol. 156(C), pages 251-267.
- Douglas J. Cumming & Sofia Johan & Anshum Pant, 2019. "Regulation of the Crypto-Economy: Managing Risks, Challenges, and Regulatory Uncertainty," JRFM, MDPI, vol. 12(3), pages 1-14, July.
- Eric Masanet & Arman Shehabi & Nuoa Lei & Harald Vranken & Jonathan Koomey & Jens Malmodin, 2019. "Implausible projections overestimate near-term Bitcoin CO2 emissions," Nature Climate Change, Nature, vol. 9(9), pages 653-654, September.
- Liang Chen & Zihong Huang & De Liu, 2016. "Pure and hybrid crowds in crowdfunding markets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 2(1), pages 1-18, December.
- Nowotarski, Jakub & Tomczyk, Jakub & Weron, Rafał, 2013.
"Robust estimation and forecasting of the long-term seasonal component of electricity spot prices,"
Energy Economics, Elsevier, vol. 39(C), pages 13-27.
- Nowotarski, Jakub & Tomczyk, Jakub & Weron, Rafal, 2012. "Robust estimation and forecasting of the long-term seasonal component of electricity spot prices," MPRA Paper 42563, University Library of Munich, Germany.
- Jakub Nowotarski & Jakub Tomczyk & Rafal Weron, 2012. "Robust estimation and forecasting of the long-term seasonal component of electricity spot prices," HSC Research Reports HSC/12/06, Hugo Steinhaus Center, Wroclaw University of Technology.
- Yu, Lean & Wang, Shouyang & Lai, Kin Keung, 2008. "Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm," Energy Economics, Elsevier, vol. 30(5), pages 2623-2635, September.
- Selmi, Refk & Mensi, Walid & Hammoudeh, Shawkat & Bouoiyour, Jamal, 2018.
"Is Bitcoin a hedge, a safe haven or a diversifier for oil price movements? A comparison with gold,"
Energy Economics, Elsevier, vol. 74(C), pages 787-801.
- Refk Selmi & Walid Mensi & Shawkat Hammoudeh & Jamal Bouoiyour, 2018. "Is Bitcoin a hedge, a safe haven or a diversifier for oil price movements? A comparison with gold," Post-Print hal-01879667, HAL.
- Gandal, Neil & Hamrick, JT & Moore, Tyler & Oberman, Tali, 2018.
"Price manipulation in the Bitcoin ecosystem,"
Journal of Monetary Economics, Elsevier, vol. 95(C), pages 86-96.
- Gandal, Neil & Oberman, Tali & Moore, Tyler & Hamrick, JT, 2017. "Price Manipulation in the Bitcoin Ecosystem," CEPR Discussion Papers 12061, C.E.P.R. Discussion Papers.
- Ling Tang & Wei Dai & Lean Yu & Shouyang Wang, 2015. "A Novel CEEMD-Based EELM Ensemble Learning Paradigm for Crude Oil Price Forecasting," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 14(01), pages 141-169.
- Easley, David & O'Hara, Maureen & Basu, Soumya, 2019. "From mining to markets: The evolution of bitcoin transaction fees," Journal of Financial Economics, Elsevier, vol. 134(1), pages 91-109.
- Katsiampa, Paraskevi, 2017. "Volatility estimation for Bitcoin: A comparison of GARCH models," Economics Letters, Elsevier, vol. 158(C), pages 3-6.
- Dyhrberg, Anne Haubo, 2016. "Bitcoin, gold and the dollar – A GARCH volatility analysis," Finance Research Letters, Elsevier, vol. 16(C), pages 85-92.
- Yechen Zhu & David Dickinson & Jianjun Li, 2017. "Analysis on the influence factors of Bitcoin’s price based on VEC model," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 3(1), pages 1-13, December.
- Catania, Leopoldo & Grassi, Stefano & Ravazzolo, Francesco, 2019. "Forecasting cryptocurrencies under model and parameter instability," International Journal of Forecasting, Elsevier, vol. 35(2), pages 485-501.
- Janssen, Marijn & Weerakkody, Vishanth & Ismagilova, Elvira & Sivarajah, Uthayasankar & Irani, Zahir, 2020. "A framework for analysing blockchain technology adoption: Integrating institutional, market and technical factors," International Journal of Information Management, Elsevier, vol. 50(C), pages 302-309.
- Rainer Böhme & Nicolas Christin & Benjamin Edelman & Tyler Moore, 2015. "Bitcoin: Economics, Technology, and Governance," Journal of Economic Perspectives, American Economic Association, vol. 29(2), pages 213-238, Spring.
- Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
- Li, Yuze & Jiang, Shangrong & Li, Xuerong & Wang, Shouyang, 2021. "The role of news sentiment in oil futures returns and volatility forecasting: Data-decomposition based deep learning approach," Energy Economics, Elsevier, vol. 95(C).
- Camilo Mora & Randi L. Rollins & Katie Taladay & Michael B. Kantar & Mason K. Chock & Mio Shimada & Erik C. Franklin, 2018. "Bitcoin emissions alone could push global warming above 2°C," Nature Climate Change, Nature, vol. 8(11), pages 931-933, November.
- Suhwan Ji & Jongmin Kim & Hyeonseung Im, 2019. "A Comparative Study of Bitcoin Price Prediction Using Deep Learning," Mathematics, MDPI, vol. 7(10), pages 1-20, September.
- Mahboubeh Faghih Mohammadi Jalali & Hanif Heidari, 2020. "Predicting changes in Bitcoin price using grey system theory," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-12, December.
- Stephanie F. Cheng & Gus De Franco & Haibo Jiang & Pengkai Lin, 2019. "Riding the Blockchain Mania: Public Firms’ Speculative 8-K Disclosures," Management Science, INFORMS, vol. 65(12), pages 5901-5913, December.
- Altan, Aytaç & Karasu, Seçkin & Bekiros, Stelios, 2019. "Digital currency forecasting with chaotic meta-heuristic bio-inspired signal processing techniques," Chaos, Solitons & Fractals, Elsevier, vol. 126(C), pages 325-336.
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- Wei Xu & Daning Hu & Karl Reiner Lang & J. Leon Zhao, 2022. "Blockchain and digital finance," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-4, December.
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Keywords
Bitcoin price; Variational mode decomposition; Deep learning; Price forecasting; Algorithmic trading;All these keywords.
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