Forecasting Bitcoin Prices in the Context of the COVID-19 Pandemic Using Machine Learning Approaches

Conference paper

Sontakke, P., Jafari, F., Saeedi, M. and Amirhosseini, M. 2024. Forecasting Bitcoin Prices in the Context of the COVID-19 Pandemic Using Machine Learning Approaches. 4th International Conference on Data Analytics & Management (ICDAM-2023). London, UK 23 - 24 Jun 2023 Springer.
AuthorsSontakke, P., Jafari, F., Saeedi, M. and Amirhosseini, M.
TypeConference paper
KeywordsCryptocurrency; Bitcoin Price; Time Series Forecasting; Machine Learning; Technical Indicators; Linear Regression; Support Vector Regression; Extreme Gradient Boosting; Long Short-Term Memory
Year2024
Conference4th International Conference on Data Analytics & Management (ICDAM-2023)
PublisherSpringer
Publication dates
Print12 Jan 2024
Online12 Jan 2024
Publication process dates
Accepted17 Mar 2023
Deposited09 May 2023
Journal citationIn Press
ISSN2367-3370
Book titleProceedings of Data Analytics and Management: ICDAM 2023, Volume 1
Book editorSwaroop, A.
Polkowski, Z.
Correia, S. D.
Virdee, B.
ISBN9789819965434
9789819965441
Web address (URL) of conference proceedingshttps://link.springer.com/book/9789819965434
Web address (URL)https://www.icdam-conf.com/
Copyright holder© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Permalink -

https://repository.uel.ac.uk/item/8vz2w

Log in to edit

  • 73
    total views
  • 14
    total downloads
  • 6
    views this month
  • 0
    downloads this month

Export as

Related outputs

Road Safety in Great Britain: An Exploratory Data Analysis
Choudhary, J. K., Rayala, N., Kiasari, A. E. and Jafari, F. 2023. Road Safety in Great Britain: An Exploratory Data Analysis. International Journal of Transport and Vehicle Engineering. 17 (7), pp. 273-287.
An AI powered system to enhance self-reflection practice in coaching
Jelodari, M., Amirhosseini, M. H. and Giraldez Hayes, A. 2023. An AI powered system to enhance self-reflection practice in coaching. Cognitive Computation and Systems. In Press. https://doi.org/10.1049/ccs2.12087
Sentiment-Driven Cryptocurrency Price Prediction: A Machine Learning Approach Utilizing Historical Data and Social Media Sentiment Analysis
Bhatt, S., Ghazanfar, M. and Amirhosseini, M. 2023. Sentiment-Driven Cryptocurrency Price Prediction: A Machine Learning Approach Utilizing Historical Data and Social Media Sentiment Analysis. Machine Learning and Applications: An International Journal (MLAIJ). 10 (2/3), pp. 1-15. https://doi.org/10.5121/mlaij.2023.10301
Machine Learning based Cryptocurrency Price Prediction using historical data and Social Media Sentiment
Bhatt, S., Ghazanfar, M. and Amirhosseini, M. 2023. Machine Learning based Cryptocurrency Price Prediction using historical data and Social Media Sentiment . 5th International Conference on Machine Learning & Applications (CMLA 2023). Sydney, Australia 17 - 18 Jun 2023 AIRCC Publishing Corporation.
A Machine Learning Approach to Identify the Preferred Representational System of a Person
Amirhosseini, M. and Wall, J. 2022. A Machine Learning Approach to Identify the Preferred Representational System of a Person. Multimodal Technologies and Interaction. 6 (12), p. 112. https://doi.org/10.3390/mti6120112
Application of Graph-Based Technique to Identity Resolution
Kazemian, H., Amirhosseini, M. H. and Phillips, M. 2022. Application of Graph-Based Technique to Identity Resolution. AIAI 2022: 18th International Conference on Artificial Intelligence Applications and Innovations. Crete, Greece 17 - 20 Jun 2022 Springer. https://doi.org/10.1007/978-3-031-08333-4_38
Designing a Cost-Efficient Network for a Small Enterprise
Jafari, F., Karami, A. and Osemwengie, L. 2021. Designing a Cost-Efficient Network for a Small Enterprise. SAI Computing Conference 2021. Online 15 - 16 Jul 2021 Springer, Cham. https://doi.org/10.1007/978-3-030-80119-9_14
A Rule and Graph-Based Approach for Targeted Identity Resolution on Policing Data
Phillips, M., Amirhosseini, M. and Kazemian, H. 2020. A Rule and Graph-Based Approach for Targeted Identity Resolution on Policing Data. 2020 IEEE Symposium Series on Computational Intelligence. Online 01 - 04 Dec 2020 IEEE. https://doi.org/10.1109/SSCI47803.2020.9308182
Machine Learning Approach to Personality Type Prediction Based on the Myers–Briggs Type Indicator®
Amirhosseini, M.H. and Kazemian, H. 2020. Machine Learning Approach to Personality Type Prediction Based on the Myers–Briggs Type Indicator®. Multimodal Technologies and Interaction. 4 (Art. 9). https://doi.org/10.3390/mti4010009
Automating the process of identifying the preferred representational system in Neuro Linguistic Programming using Natural Language Processing
Amirhosseini, M.H. and Kazemian, H. 2019. Automating the process of identifying the preferred representational system in Neuro Linguistic Programming using Natural Language Processing. Cognitive Processing. 20 (2), p. 175–193. https://doi.org/10.1007/s10339-019-00912-3
Natural Language Processing approach to NLP Meta model automation
Amirhosseini, M.H., Kazemian, H., Ouazzane, K. and Chandler, C. 2018. Natural Language Processing approach to NLP Meta model automation. 2018 International Joint Conference on Neural Networks (IJCNN). Rio de Janeiro, Brazil 08 - 13 Jul 2018 IEEE. https://doi.org/10.1109/IJCNN.2018.8489609
Least Upper Delay Bound for VBR Flows in Networks-on-Chip with Virtual Channels
Jafari, F., Lu, Zhonghai and Jantsch, Axel 2015. Least Upper Delay Bound for VBR Flows in Networks-on-Chip with Virtual Channels. Transactions on Design Automation of Electronic Systems. 20 (3).
Weighted Round Robin Configuration for Worst-Case Delay Optimization in Network-on-Chip
Jafari, F., Jantsch, Axel and Lu, Zhonghai 2016. Weighted Round Robin Configuration for Worst-Case Delay Optimization in Network-on-Chip. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 24 (12), pp. 3387-3400. https://doi.org/10.1109/TVLSI.2016.2556007