---
title: "Cryptocurrency data: datasets in recent research papers"
description: "Datasets in the category “Cryptocurrency data” were mentioned in 3 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #50 of the 58 data categories mentioned."
url: https://scholar4ai.com/datasets/cryptocurrency-data
markdown_url: https://scholar4ai.com/datasets/cryptocurrency-data.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "Datasets in the category “Cryptocurrency data” were mentioned in 3 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #50 of the 58 data categories mentioned."
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-10-26T14:32:25+09:00
window: 2026-09-27 to 2026-10-26
source: OpenAlex (CC0)
---

# Cryptocurrency data

Prices, trading volumes and on-chain records of cryptocurrencies.

- 0 papers in the last 7 days
- 2 of its 6 datasets mentioned

Back to the ranking: https://scholar4ai.com/rankings/datasets.md

## Key findings

- Datasets in the category “Cryptocurrency data” were mentioned in 3 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #50 of the 58 data categories mentioned.
- The most-mentioned were CoinGecko (2) and CoinMarketCap (1).
- By journal category: Finance (3).
- Most of them appeared in International Review of Economics & Finance (2) and Finance research letters (1).

## Datasets

*Datasets in this category · 2026-09-27 – 2026-10-26 (30 days)*

| Dataset | Papers | Last 7 days | Names searched for |
|---|---:|---:|---|
| CoinGecko | 2 | 0 | CoinGecko |
| CoinMarketCap | 1 | 0 | CoinMarketCap |
| CryptoCompare | 0 | 0 | CryptoCompare |
| Etherscan | 0 | 0 | Etherscan |
| Glassnode | 0 | 0 | Glassnode |
| Kaiko | 0 | 0 | Kaiko |

## Papers

*Papers mentioning these datasets, newest first.*

| Date | Title | Journal | Authors | Affiliations | Datasets mentioned |
|---|---|---|---|---|---|
| 2026-10-09 | [Stablecoin Peg Fragility and Latent Tail-Risk Regimes: Evidence from Peg Deviations and Supply Contractions](https://doi.org/10.1016/j.iref.2026.105928) | [International Review of Economics & Finance](https://scholar4ai.com/journals/international-review-of-economics-finance.md) | Edson Pindza | University of South Africa | CoinGecko |
| 2026-10-07 | [ESG ratings for blockchains and cryptocurrencies](https://doi.org/10.1016/j.frl.2026.110886) | [Finance research letters](https://scholar4ai.com/journals/finance-research-letters.md) | Jerusa Alberton, Marcelo Cabús Klötzle, Marcelo Guedes Pecly et al. | Pontifícia Universidade Católica do Rio de Janeiro | CoinMarketCap |
| 2026-09-30 | [Order-flow toxicity in cryptocurrency perpetual futures: Order flow signals, price-impact persistence, and the limits of volatility-based metrics](https://doi.org/10.1016/j.iref.2026.105876) | [International Review of Economics & Finance](https://scholar4ai.com/journals/international-review-of-economics-finance.md) | Suresh Rajendran, Divya Singaravelu |  | CoinGecko |

## Cite this page

Scholar4AI. (2026). Cryptocurrency data. Journal Research Rankings. Retrieved October 26, 2026, from https://scholar4ai.com/datasets/cryptocurrency-data

```bibtex
@misc{scholar4ai-datasets-cryptocurrency-data,
  author = {{Scholar4AI}},
  title = {Cryptocurrency data},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/cryptocurrency-data}},
  urldate = {2026-10-26},
  note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).