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A Comparative Study of Bitcoin Price Prediction Using Deep Learning

Citations

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Cited by:

  1. Aidin Zehtab-Salmasi & Ali-Reza Feizi-Derakhshi & Narjes Nikzad-Khasmakhi & Meysam Asgari-Chenaghlu & Saeideh Nabipour, 2023. "Multimodal Price Prediction," Annals of Data Science, Springer, vol. 10(3), pages 619-635, June.
  2. Ren, Yi-Shuai & Ma, Chao-Qun & Kong, Xiao-Lin & Baltas, Konstantinos & Zureigat, Qasim, 2022. "Past, present, and future of the application of machine learning in cryptocurrency research," Research in International Business and Finance, Elsevier, vol. 63(C).
  3. Mariya Paskaleva & Ivanka Vasenska, 2025. "The BTC Price Prediction Paradox Through Methodological Pluralism," Risks, MDPI, vol. 13(10), pages 1-43, October.
  4. Manjunath B R, 2026. "Classifying bitcoin’s safe haven role using explainable AI: evidence from US macroeconomic stress episodes," Quality & Quantity: International Journal of Methodology, Springer, vol. 60(2), pages 4331-4364, April.
  5. Nagula, Pavan Kumar & Alexakis, Christos, 2022. "A new hybrid machine learning model for predicting the bitcoin (BTC-USD) price," Journal of Behavioral and Experimental Finance, Elsevier, vol. 36(C).
  6. Ruiguang Li & Liehuang Zhu & Chao Li & Fudong Wu & Dawei Xu, 2023. "BNS: A Detection System to Find Nodes in the Bitcoin Network," Mathematics, MDPI, vol. 11(24), pages 1-14, December.
  7. Bartosz Bieganowski & Robert 'Slepaczuk, 2024. "Supervised Autoencoders with Fractionally Differentiated Features and Triple Barrier Labelling Enhance Predictions on Noisy Data," Papers 2411.12753, arXiv.org, revised Nov 2024.
  8. Hakan Pabuccu & Serdar Ongan & Ayse Ongan, 2023. "Forecasting the movements of Bitcoin prices: an application of machine learning algorithms," Papers 2303.04642, arXiv.org.
  9. Mingzhe Wei & Georgios Sermpinis & Charalampos Stasinakis, 2023. "Forecasting and trading Bitcoin with machine learning techniques and a hybrid volatility/sentiment leverage," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 852-871, July.
  10. Emmanuel Boadi, 2025. "Bitcoin Price Forecasting Based on Hybrid Variational Mode Decomposition and Long Short Term Memory Network," Papers 2510.15900, arXiv.org.
  11. Surinder Singh Khurana & Parvinder Singh & Naresh Kumar Garg, 2024. "OG-CAT: A Novel Algorithmic Trading Alternative to Investment in Crypto Market," Computational Economics, Springer;Society for Computational Economics, vol. 63(5), pages 1735-1756, May.
  12. Isabela Ruiz Roque da Silva & Eli Hadad Junior & Pedro Paulo Balbi, 2022. "Cryptocurrencies trading algorithms: A review," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(8), pages 1661-1668, December.
  13. Serdar Arslan, 2025. "Bitcoin Price Prediction Using Sentiment Analysis and Empirical Mode Decomposition," Computational Economics, Springer;Society for Computational Economics, vol. 65(4), pages 2227-2248, April.
  14. Ugur Sener & Salvatore Joseph Terregrossa, 2026. "Contemporary Approaches to Hybrid Forecasting," Computational Economics, Springer;Society for Computational Economics, vol. 68(1), pages 663-705, July.
  15. Oluwadamilare Omole & David Enke, 2024. "Deep learning for Bitcoin price direction prediction: models and trading strategies empirically compared," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-26, December.
  16. Huang, Zih-Chun & Sangiorgi, Ivan & Urquhart, Andrew, 2024. "Forecasting Bitcoin volatility using machine learning techniques," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 97(C).
  17. Ibanga Kpereobong Friday & Sarada Prasanna Pati & Debahuti Mishra & Pradeep Kumar Mallick & Sachin Kumar, 2025. "CAGTRADE: Predicting Stock Market Price Movement with a CNN-Attention-GRU Model," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 32(2), pages 583-608, June.
  18. Zi Ye & Yinxu Wu & Hui Chen & Yi Pan & Qingshan Jiang, 2022. "A Stacking Ensemble Deep Learning Model for Bitcoin Price Prediction Using Twitter Comments on Bitcoin," Mathematics, MDPI, vol. 10(8), pages 1-21, April.
  19. David L. John & Sebastian Binnewies & Bela Stantic, 2024. "Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions," Forecasting, MDPI, vol. 6(3), pages 1-35, August.
  20. Esam Mahdi & Carlos Martin-Barreiro & Xavier Cabezas, 2025. "A Novel Hybrid Approach Using an Attention-Based Transformer + GRU Model for Predicting Cryptocurrency Prices," Mathematics, MDPI, vol. 13(9), pages 1-19, April.
  21. Nicolás Magner & Nicolás Hardy, 2022. "Cryptocurrency Forecasting: More Evidence of the Meese-Rogoff Puzzle," Mathematics, MDPI, vol. 10(13), pages 1-27, July.
  22. Rico-Peña, Juan Jesús & Arguedas-Sanz, Raquel & López-Martin, Carmen, 2023. "Models used to characterise blockchain features. A systematic literature review and bibliometric analysis," Technovation, Elsevier, vol. 123(C).
  23. Dinggao Liu & Zhenpeng Tang & Yi Cai, 2022. "A Hybrid Model for China’s Soybean Spot Price Prediction by Integrating CEEMDAN with Fuzzy Entropy Clustering and CNN-GRU-Attention," Sustainability, MDPI, vol. 14(23), pages 1-22, November.
  24. Bartosz Bieganowski & Robert Slepaczuk, 2024. "Supervised Autoencoder MLP for Financial Time Series Forecasting," Papers 2404.01866, arXiv.org, revised Jun 2024.
  25. Sudersan Behera & Sarat Chandra Nayak & A. V. S. Pavan Kumar, 2024. "Evaluating the Performance of Metaheuristic Based Artificial Neural Networks for Cryptocurrency Forecasting," Computational Economics, Springer;Society for Computational Economics, vol. 64(2), pages 1219-1258, August.
  26. Ullah, Subhan & Attah-Boakye, Rexford & Adams, Kweku & Zaefarian, Ghasem, 2022. "Assessing the influence of celebrity and government endorsements on bitcoin’s price volatility," Journal of Business Research, Elsevier, vol. 145(C), pages 228-239.
  27. Yuanhong Wu & Wei Ye & Jingyan Xu & D. Frank Hsu, 2026. "Bitcoin Price Prediction using Machine Learning and Combinatorial Fusion Analysis," Papers 2602.00037, arXiv.org, revised Mar 2026.
  28. Gil Cohen, 2022. "Algorithmic Trading and Financial Forecasting Using Advanced Artificial Intelligence Methodologies," Mathematics, MDPI, vol. 10(18), pages 1-13, September.
  29. Yuze Li & Shangrong Jiang & Xuerong Li & Shouyang Wang, 2022. "Hybrid data decomposition-based deep learning for Bitcoin prediction and algorithm trading," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-24, December.
  30. Armand Mihai Cismaru, 2024. "DeepTraderX: Challenging Conventional Trading Strategies with Deep Learning in Multi-Threaded Market Simulations," Papers 2403.18831, arXiv.org.
  31. Duygu Ider & Stefan Lessmann, 2022. "Forecasting Cryptocurrency Returns from Sentiment Signals: An Analysis of BERT Classifiers and Weak Supervision," Papers 2204.05781, arXiv.org, revised Mar 2023.
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