Forecasting cryptocurrency prices time series using machine learning approach
SHS Web Conf., 65 (2019) 02001
Published online: 2019-05-29
Articles citing this article
The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Cited article:
This article has been cited by the following article(s):
623 70 (2026)
https://doi.org/10.1007/978-3-031-92625-9_6
A Novel Hybrid Transformer-Based Deep Learning Approach for Multi-Step Bitcoin Price Forecasting
Rza Hasanli and Mahir DursunEngineering, Technology & Applied Science Research 16 (1) 32524 (2026)
https://doi.org/10.48084/etasr.16684
18 47 (2026)
https://doi.org/10.1007/978-3-032-06798-2_5
2626 236 (2026)
https://doi.org/10.1007/978-981-95-1581-3_15
1570 165 (2026)
https://doi.org/10.1007/978-3-032-00329-4_15
446 245 (2025)
https://doi.org/10.1007/978-981-96-7269-1_18
317 (2025)
https://doi.org/10.1007/978-3-031-84889-6_38
01 (2025)
https://doi.org/10.1109/ICBATS66542.2025.11258553
450 (2025)
https://doi.org/10.1109/ICoEIT63558.2025.11211758
15446 105 (2025)
https://doi.org/10.1007/978-3-031-77915-2_8
KRİPTO PARALARIN VOLATİLİTE DÜZEYLERİNİN ASİMETRİK GARCH MODELİ İLE KARŞILAŞTIRILMASI
Letife ÖzdemirÖmer Halisdemir Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 18 (1) 493 (2025)
https://doi.org/10.25287/ohuiibf.1600186
Predicting the Bitcoin’s price using AI
Gil Cohen and Avishay AicheFrontiers in Artificial Intelligence 8 (2025)
https://doi.org/10.3389/frai.2025.1519805
Intelligent hybrid forecasting for Iraq exports
Marwan Abdul Hameed Ashour, Rabab Alayham Abbas, A.P. Wibawa, A. Pranolo, R. Drezewski, L. Hernandez, A.R. Ismail, Haviluddin, A.Y. Saleh, A. Ghosh, F. Kurniawan, S. Konate and M.A.A. AbdallaE3S Web of Conferences 501 01004 (2024)
https://doi.org/10.1051/e3sconf/202450101004
Machine learning in business and finance: a literature review and research opportunities
Hanyao Gao, Gang Kou, Haiming Liang, Hengjie Zhang, Xiangrui Chao, Cong-Cong Li and Yucheng DongFinancial Innovation 10 (1) (2024)
https://doi.org/10.1186/s40854-024-00629-z
Seeing Beyond Noise: Improving Cryptocurrency Forecasting with Linear Bias Correction
Sibtain Syed, Syed Muhammad Talha, Arshad Iqbal, Naveed Ahmad and Mohammed Ali AlsharaAI 5 (4) 2829 (2024)
https://doi.org/10.3390/ai5040136
1 (2024)
https://doi.org/10.1109/ICITR64794.2024.10857799
817 37 (2024)
https://doi.org/10.1007/978-981-99-7886-1_4
From Prediction to Profit: A Comprehensive Review of Cryptocurrency Trading Strategies and Price Forecasting Techniques
Sattarov Otabek and Jaeyoung ChoiIEEE Access 12 87039 (2024)
https://doi.org/10.1109/ACCESS.2024.3417449
1080 486 (2024)
https://doi.org/10.1007/978-3-031-67444-0_45
Cryptocurrency Price Prediction Using Frequency Decomposition and Deep Learning
Chuantai Jin and Yong LiFractal and Fractional 7 (10) 708 (2023)
https://doi.org/10.3390/fractalfract7100708
Advanced Technologies, Systems, and Applications VII
Amila Žunić and Adnan DželihodžićLecture Notes in Networks and Systems, Advanced Technologies, Systems, and Applications VII 539 412 (2023)
https://doi.org/10.1007/978-3-031-17697-5_33
Smart Applications with Advanced Machine Learning and Human-Centred Problem Design
Mehmet Birhan and Ömür TosunEngineering Cyber-Physical Systems and Critical Infrastructures, Smart Applications with Advanced Machine Learning and Human-Centred Problem Design 1 101 (2023)
https://doi.org/10.1007/978-3-031-09753-9_9
Soft Computing for Problem Solving
Satnam Singh, Khriesavinyu Terhuja and Tarun KumarLecture Notes in Networks and Systems, Soft Computing for Problem Solving 547 355 (2023)
https://doi.org/10.1007/978-981-19-6525-8_27
1 (2023)
https://doi.org/10.1109/COINS57856.2023.10189205
1 (2023)
https://doi.org/10.1109/ICMNWC60182.2023.10435996
1 (2023)
https://doi.org/10.1109/ICECCME57830.2023.10252366
1155 (2023)
https://doi.org/10.1109/ICACCS57279.2023.10112863
The Predictive Power of Social Media Sentiment: Evidence from Cryptocurrencies and Stock Markets Using NLP and Stochastic ANNs
Giacomo di Tollo, Joseph Andria and Gianni FilograssoMathematics 11 (16) 3441 (2023)
https://doi.org/10.3390/math11163441
220 (2023)
https://doi.org/10.1109/ICSGRC57744.2023.10215424
42 (2023)
https://doi.org/10.1109/SIBF60067.2023.10379931
798 (2022)
https://doi.org/10.1109/ICIRCA54612.2022.9985532
701 (2022)
https://doi.org/10.1109/RIVF55975.2022.10013790
1 (2022)
https://doi.org/10.1109/IICAIET55139.2022.9936798
Application Deep Learning to Predict Crypto Currency Prices and their Relationship to Market Adequacy (Applied Research Bitcoin as an Example)
M. Kh. Abdalhammed, A. M. Ghazal, H. M. Ibrahim and A. Kh. AhmedFinance: Theory and Practice 26 (4) 95 (2022)
https://doi.org/10.26794/2587-5671-2022-26-4-95-108
Foreign Exchange Volatility and the Bubble Formation in Financial Markets: Evidence From The COVID-19 Pandemic
Onur ÖzdemirEkonomika 101 (1) 142 (2022)
https://doi.org/10.15388/Ekon.2022.101.1.8
Human Interaction, Emerging Technologies and Future Systems V
Marwan Abdul Hameed Ashour and Omar Mohammed Naser AlashariLecture Notes in Networks and Systems, Human Interaction, Emerging Technologies and Future Systems V 319 922 (2022)
https://doi.org/10.1007/978-3-030-85540-6_117
Cue the volatility spillover in the cryptocurrency markets during the COVID-19 pandemic: evidence from DCC-GARCH and wavelet analysis
Onur ÖzdemirFinancial Innovation 8 (1) (2022)
https://doi.org/10.1186/s40854-021-00319-0
Improving the Accuracy of Forecasting Models Using the Modified Model of Single-Valued Neutrosophic Hesitant Fuzzy Time Series
Kittikun Pantachang, Roengchai Tansuchat and Woraphon YamakaAxioms 11 (10) 527 (2022)
https://doi.org/10.3390/axioms11100527
Cryptocurrency price prediction using traditional statistical and machine‐learning techniques: A survey
Ahmed M. Khedr, Ifra Arif, Pravija Raj P V, Magdi El‐Bannany, Saadat M. Alhashmi and Meenu SreedharanIntelligent Systems in Accounting, Finance and Management 28 (1) 3 (2021)
https://doi.org/10.1002/isaf.1488
Deep Learning-Based Cryptocurrency Price Prediction Scheme With Inter-Dependent Relations
Sudeep Tanwar, Nisarg P. Patel, Smit N. Patel, et al.IEEE Access 9 138633 (2021)
https://doi.org/10.1109/ACCESS.2021.3117848
Trends in Data Engineering Methods for Intelligent Systems
Tunahan Timuçin, Hacer Bayiroğlu, Hakan Gündüz, Tuba Karagül Yildiz and Ercan AtagünLecture Notes on Data Engineering and Communications Technologies, Trends in Data Engineering Methods for Intelligent Systems 76 256 (2021)
https://doi.org/10.1007/978-3-030-79357-9_26
306 (2021)
https://doi.org/10.1109/ESCI50559.2021.9397004
Advanced Studies of Financial Technologies and Cryptocurrency Markets
Vasily Derbentsev, Andriy Matviychuk and Vladimir N. SolovievAdvanced Studies of Financial Technologies and Cryptocurrency Markets 211 (2020)
https://doi.org/10.1007/978-981-15-4498-9_12
(2020)
https://doi.org/10.31812/123456789/4478
Application of Deep Learning Methods to Forecasting Changes in Short-Term Currency Trends
Vasily D. Derbentsev, Vitalii S. Bezkorovainyi and Iryna V. LuniakScientific Bulletin of Mukachevo State University Series “Economics” 7 (2) 75 (2020)
https://doi.org/10.52566/msu-econ.7(2).2020.75-86
264 (2020)
https://doi.org/10.1109/ICACCCN51052.2020.9362735
Prediction accuracy improvement for Bitcoin market prices based on symmetric volatility information using artificial neural network approach
Anwar Hasan Abdullah Othman, Salina Kassim, Romzie Bin Rosman and Nur Harena Binti RedzuanJournal of Revenue and Pricing Management 19 (5) 314 (2020)
https://doi.org/10.1057/s41272-020-00229-3
216 (2019)
https://doi.org/10.1109/ICDMW.2019.00041