Bitcoin Trading using LSTM
Authors
*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.
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 -