Cryptocurrency Market Modelling with Heavy-tailed Distributions
The dataset comprises daily adjusted closing prices for BNB, ETH, LTC and XRP, obtained from Yahoo Finance using the yfinance Python package. The sample covers the period from 1 January 2018 to 7 November 2026, subject to data availability. To ensure consistency across the four cryptocurrencies, only dates with complete price observations for all assets are retained. The resulting dataset is exported in both CSV and Excel formats for subsequent analysis.
Authors
- Fatai Adewole Adebayo (ORCID: https://orcid.org/0009-0003-4782-8577)
- Katleho Daniel Makatjane (ORCID: https://orcid.org/0000-0002-3687-4098)
- Sydeny Banthusitse (ORCID: https://orcid.org/0009-0000-2379-0955)
Institutions
- University of Botswana (BW)
- University of the Western Cape (ZA)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-11-10
- DOI
- https://doi.org/10.5281/zenodo.24099437
- Primary Topic
- Complex Systems and Time Series Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00