Forecasting Cryptocurrency Prices Using LSTM, GRU, and Bi-Directional LSTM: A Deep Learning Approach
Phumudzo Lloyd Seabe, Claude Rodrigue Bambe Moutsinga, Edson Pindza
Journal
- ISSN / E-ISSN
- — / —
- DOI
- 10.3390/fractalfract7020203 ↗
- Volume · Issue · Pages
- 7 · 2 · 203-203
- Publisher
- MDPI AG
- Article URL
- https://doi.org/10.3390/fractalfract7020203 ↗
- Article details
- Unverified
Publication date (each date has its type and source)
18 Feb 2023
OpenAlex publication date · source: OpenAlex
| Type | Date | Source |
|---|---|---|
| OpenAlex publication date | 18 Feb 2023 | OpenAlex |
Keywords (as given): cryptocurrency price prediction; Bitcoin; Ethereum; Litecoin; long short-term memory; gated recurrent unit; bidirectional LSTM; recurrent neural networks; time series forecasting; market capitalization
HEC Status at Publication Not the journal's current status
HEC Status at PublicationConclusive
HEC status at publication
Recognized
X
Based on the recorded HEC dataset applicable to the article's publication date. Listed as X in the HEC list for 2022–23.
- Journal
- Fractal and Fractional
- Publication date used
- 18 Feb 2023 (OpenAlex publication date)
- Applicable HEC period
- 2022–23 (version 2) · 01 Jul 2022 – 30 Jun 2023
- Category
- X
- Recognition status
- Recognized (OK_RECORD_FOUND)
- Source
- hjrs-2022-23 row 13493
- Verification status
- Verified against source · last verified 16 Oct 2026
This is an automatically generated summary based on the information available on the publication date. Terms & conditions apply.