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Emerging Cryptocurreny Trends

Explore Currency Markets with Up-to-Date Data

By Christophe Nozaradan [source]

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About this dataset

This dataset contains real-time cryptocurrency prices in Euro (EUR) from Coinmarketcap and is refreshed every hour with IFTTT. Explore the dynamic cryptocurrency market and view up-to-date information on popular digital currencies such as Bitcoin, Ethereum, Litecoin, Ripple, Dash and more. Use the data to analyze trends, identify opportunities for trading or investing in cryptocurrencies, or to understand why certain coins are surging or dropping in value. Whether you’re a novice investor or an experienced crypto trader looking for new insights, this dataset has something for everyone. Discover the latest from this rapidly evolving sector of finance!

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How to use the dataset

The dataset 'Uncover Emerging Cryptocurrency Trends with Real-Time EUR Prices' is a great resource for learning about emerging trends in the cryptocurrency world. This dataset provides real-time prices in Euros (EUR) for a variety of cryptocurrencies so you can easily keep track of how these currencies are performing.

Research Ideas

• Using this dataset, investors can develop algorithms to predict price movements and make better-informed investment decisions.

• This dataset could be used by cryptocurrency wallets and exchanges, allowing them to provide customers with updated currency information in real-time.

• Researchers could use this dataset for insights into the performance of different cryptocurrencies over time, helping inform their understanding of the industry as a whole

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: EUR.csv

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit Christophe Nozaradan.