Price Prediction of Bitcoin Based on LSTM Model

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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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  -