Wang, Yiran (2023) Cryptocurrency Price Forecast with Use of Time Series Model, Conventional Statistic Model and Machine Learning Approaches. In: Proceedings of the International Conference on Financial Innovation, FinTech and Information Technology, FFIT 2022, October 28-30, 2022, Shenzhen, China.
![[thumbnail of 53592.pdf]](http://eprints.eai.eu/style/images/fileicons/application_pdf.png "53592.pdf")
PDF
53592.pdf
Download (365kB)
Abstract
Cryptocurrency is an emerging virtual currency gathering attention from the public, which is difficult to counterfeit or double-spend. One of the most significant discussions in cryptocurrency is its extremely high volatility which brings challenges on price prediction. Therefore, lots of research h
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 16:10 |
| Last Modified: | 17 Apr 2026 03:24 |
| URI: | http://eprints.eai.eu/id/eprint/42606 |
Actions (login required)
- View Item