Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)

Price Prediction of Bitcoin Based on LSTM Model

Authors
Qihuan Zhou1, *
1College of Liberal Arts and Science, University of Connecticut, Storrs, CT, 06269, USA
*Corresponding author. Email: qihuan.zhou@uconn.edu
Corresponding Author
Qihuan Zhou
Available Online 20 December 2022.
DOI
10.2991/978-94-6463-030-5_27How to use a DOI?
Keywords
Deep Learning; LSTM; Bitcoin; Big Data Component
Abstract

Contemporarily, Long-Short Term Memory Model is becoming a widely applied machine learning models in time series data prediction. This article introduces background of LSTM Models and its concept with an application example to propose some perspectives and expectations on cryptocurrency price prediction (specifically, bitcoin in this paper). According to the results, the prediction results tally well with the real price, indicating the feasibility for the implementation of such a state-of-art machine learning models in cryptocurrency pricing. These results shed light on future development of price prediction based on machine learning for investors.

Copyright
© 2023 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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Volume Title
Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
20 December 2022
ISBN
978-94-6463-030-5
ISSN
2589-4919
DOI
10.2991/978-94-6463-030-5_27How to use a DOI?
Copyright
© 2023 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.

Cite this article

TY  - CONF
AU  - Qihuan Zhou
PY  - 2022
DA  - 2022/12/20
TI  - Price Prediction of Bitcoin Based on LSTM Model
BT  - Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)
PB  - Atlantis Press
SP  - 255
EP  - 261
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-030-5_27
DO  - 10.2991/978-94-6463-030-5_27
ID  - Zhou2022
ER  -