Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)

Bitcoin Trading using LSTM

Authors
Houhan Lu1, *
1Electrical Engineering Institution, Sichuan University, 610044, Sichuan, China
*Corresponding author. Email: morningstar@stu.scu.edu.cn
Corresponding Author
Houhan Lu
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-102-9_153How to use a DOI?
Keywords
Bitcoin; LSTM; Neural network; Machine learning
Abstract

Bitcoin is a high-risk and high-yield investment, and in recent years, more and more investors have begun to pay attention to Bitcoin, but its riskiness has deterred many. However, the data over the past few years has continued to show that Bitcoin is exceptionally profitable, and holding Bitcoin for a long time is an investment option. This paper analyzes how to use Bitcoin and gold for venture capital and uses LSTM neural network to demonstrate its capability in trading. Furthermore, this paper delineates the novel strategy making combined with LSTM and a traditional technical indicator which yield more winning rate.

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 2nd International Conference on Business Administration and Data Science (BADS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
29 December 2022
ISBN
978-94-6463-102-9
ISSN
2589-4900
DOI
10.2991/978-94-6463-102-9_153How 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  - Houhan Lu
PY  - 2022
DA  - 2022/12/29
TI  - Bitcoin Trading using LSTM
BT  - Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
PB  - Atlantis Press
SP  - 1457
EP  - 1471
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-102-9_153
DO  - 10.2991/978-94-6463-102-9_153
ID  - Lu2022
ER  -