Zhang, Leyi (2023) LSTMGA-QPSBG: An LSTM and Greedy Algorithm-based Quantitative Portfolio Strategy for Bitcoin and Gold. In: Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19–21, 2023, Hangzhou, China.
![[thumbnail of 55431.pdf]](http://eprints.eai.eu/style/images/fileicons/application_pdf.png "55431.pdf")
PDF
55431.pdf
Download (5MB)
Abstract
Quantitative trading plays a pivotal role in financial markets. Over the past decade, quantitative trading has made remarkable improvements. Due to instability and nonlinearity in financial markets, it is still challenging to formulate high-return trading strategies to address the problem of long-t
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 16:34 |
| Last Modified: | 17 Apr 2026 02:31 |
| URI: | http://eprints.eai.eu/id/eprint/44349 |
Actions (login required)
- View Item