A Review of Bitcoin Price Prediction Models

DOI

10.2991/978-94-6239-604-3_34How to use a DOI?

Keywords

Bitcoin; Price Prediction; Machine Learning; Deep Learning

Abstract

This paper systematically reviews the evolutionary process from classical statistical models to deep learning models, providing a detailed comparison specifically on the problem of Bitcoin price prediction. Compared with traditional statistical models, machine learning models can better capture nonlinear relationships. Deep learning models, which demonstrate powerful automatic feature extraction and predictive capabilities, perform better on the Bitcoin price prediction problem. Furthermore, deep learning models possess potential for further improvement through combination with same or different type models and enhanced utilization of multimodal data.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Guo Chen
PY  - 2026
DA  - 2026/02/26
TI  - A Review of Bitcoin Price Prediction Models
BT  - Proceedings of the 5th International Conference on Economic Development and Business Culture (ICEDBC 2025)
PB  - Atlantis Press
SP  - 319
EP  - 328
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-604-3_34
DO  - 10.2991/978-94-6239-604-3_34
ID  - Chen2026
ER  -