• This dataset contains 5 years of historical price and volume data for XRP (Ripple), one of the leading cryptocurrencies by market capitalization. The data was compiled to support research, analysis, and modeling of cryptocurrency price patterns, forecasting, and trading strategy development.

Features:

-**Time Span:** 5 years (exact date range based on your data; typically YYYY-MM-DD to YYYY-MM-DD)

-**Interval:** [State interval, e.g., daily, hourly, or minute-by-minute]

Fields Included:

-**Timestamp:** Date and time (in UTC)

-**Open:** Opening price

-**High:** Highest price

-**Low:** Lowest price

-**Close:** Closing price

-**Volume:** Total volume traded

*[Any other fields: e.g., Number of Trades, Market Cap, etc.]

Context:

-**XRP** is a digital payment protocol and cryptocurrency designed for fast, low-cost international money transfers. Studying historical XRP data is critical for researchers, traders, and enthusiasts interested in time-series analysis, market behavior, trend identification, and machine learning applications in finance.

Potential Uses:

1.**Exploratory data analysis** & visualization

2.Building and training predictive models (e.g., LSTM, ARIMA)

3.**Backtesting** trading strategies

4.**Volatility** and correlation studies

5.**Comparisons** with other crypto assets

Dataset

This dataset was created by DataJuicers

Released under Database: Open Database, Contents: © Original Authors

Contents

Emerging Cryptocurreny Trends

Explore Currency Markets with Up-to-Date Data

By Christophe Nozaradan [source]

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 | Column name | Description | |:--------------|:----------------------------------------------------------| | status | The status of the data, either success or error. (String) |

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.

This dataset supports the research article titled "A Hybrid SVR-Based Framework for Cryptocurrency Price Forecasting and Strategy Backtesting". It includes historical price data, technical indicator features, and visualization-ready data used in the study for four major cryptocurrencies: Bitcoin (BTC), Ethereum (ETH), Ripple (XRP), and Litecoin (LTC).

The dataset consists of:

• Raw historical price data (CSV/Excel)

• Technical indicators used as input features for SVR modeling (e.g., MA, RSI, KD, MACD, Bollinger Bands, etc.)

• Data behind charts in the manuscript (e.g., predicted vs. actual prices, strategy-specific outputs)

All data are provided in CSV format with accompanying documentation for reproducibility. This repository is meant to ensure transparency, facilitate replication, and encourage future research based on SVR and crypto trading strategies.