# Cryptocurrency price and volatility predictions with machine learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/cryptocurrency-price-and-volatility-predictions-with-machine-learning/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Samir Poudel,Rajendra Paudyal,Burak Cankaya,Naomi Sterlingsdottir,Marissa Murphy,Shital Pandey,Jorge Vargas,Khem Poudel |
| Citations | 15 |
| DOI | 10.1057/s41270-023-00239-1 |
| Fields | Computer Science,Decision Sciences,Economics, Econometrics and Finance |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4386203172 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Burak Cankaya](https://scholariq.org/researchers/burak-cankaya/)

## Paper primary topic

- [Blockchain Technology Applications and Security](https://scholariq.org/topics/blockchain-technology-applications-and-security/)

## Paper topics

- [Blockchain Technology Applications and Security](https://scholariq.org/topics/blockchain-technology-applications-and-security/)
- [Market Dynamics and Volatility](https://scholariq.org/topics/market-dynamics-and-volatility/)
- [Stock Market Forecasting Methods](https://scholariq.org/topics/stock-market-forecasting-methods/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.