Ripple, or XRP, prices surged in 2021 but went down significantly as 2022 progressed. As of November 16, 2025, one XRP token was worth 2.24 U.S. dollars. Ethereum's price, for example, kept on reaching new all-time highs, a feat not performed by XRP. Indeed, XRP's price spikes followed relatively late - only occurring in early 2021, against late 2020 for most other cryptos - after the US SEC filed a legal complaint against Ripple in November 2020. This legal action caused the XRP price to plummet from around 0.70 U.S. dollars to 0.20 U.S. dollars.Ripple versus XRP: two become oneTechnically speaking, Ripple is not a cryptocurrency. Renamed from a protocol called OpenCoin in 2013, Ripple facilitates open-source payments. XRP, on the other hand, is the cryptocurrency that runs on this network. In that sense, Ripple and XRP have a similar symbiosis to each other, like the Ethereum network and its cryptocurrency, Ether. Unlike Ethereum - whose price changes are connected to the world of Decentralized Finance or DeFI - Ripple/XRP mostly looks at developments in cross-border payments for companies. In 2020, companies worldwide began to favor fintech solutions for future B2B solutions and, in a way, Ripple is an extension of that.What affects the price of Ripple?Ripple is mostly active in Southeast Asia - a region with a splintered payment landscape and that heavily investigates its own types of state-issued cryptocurrency to make cross-border payments a lot easier. Price spikes tend to follow news on this topic in this specific region. In 2019, for example, the XRP price grew after Japan and South Korea began testing to reduce time and costs for transferring international funds between the two countries. In March 2021, Ripple announced that it had agreed to acquire 40 percent of Malaysian cross-border payments firm Tranglo to meet growing demand in Southeast Asia.

Daily historical price data for XRP including high, low, open, close, and percentage difference over the most recent 24 days.

View daily updates and historical trends for XRP Price. Source: CoinGecko. Track economic data with YCharts analytics.

All-time high price data for XRP, including the peak value, date achieved, and current comparison metrics.

The market cap of Ripple, or XRP, grew substantially in November 2024, after the results of the United States elections. At the beginning of 2024, the cryptocurrency had a market capitalization of around ** billion U.S. dollars. One year later, this had changed to *** billion U.S. dollars. The company Ripple faced charges in 2020 from the U.S. Securities and Exchange Commission (SEC), which led to a *** million U.S. dollar fine in August 2024 as the company was sentenced for violating investor-protection laws. The SEC appealed this decision, deeming the sentence too low. The results of the U.S. elections in November 2024, however, and the announced changes to the leadership of the SEC, made crypto investors believe that the case against Ripple Labs might be dropped in January 2025.

XRP price data for 2025-11-17 including currency, value, high, low, open, close, and percentage difference.

Prices for XRPUSD Ripple / US Dollar including live quotes, historical charts and news. XRPUSD Ripple / US Dollar was last updated by Trading Economics this December 2 of 2025.

XRP yearly price prediction dataset covering 2025 to 2050 with minimum and maximum forecast values.

This dataset was collected from CoinGecko public API https://www.coingecko.com/api/documentation with the currency of usd. The json file includes marketcap, price and 24hr volume, and the csv file is a result after data wrangling process.

Daily data (00:00 UTC)

• 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

Context

Real and up to date stock market exchange of cryptocurrencies can be quite expensive and are hard to get. However, historical financial data are the starting point to develop algorithm(s) to analyze market trend and why not beat the market by predicting market movement.

Content

Data provided in this dataset are historical data from the beginning of XRP-USD pair market on Kraken exchange up to the present (2021 December). This data comes frome real trades on one of the most popular cryptocurrencies exchange.

Trading history

Historical market data, also known as trading history, time and sales or tick data, provides a detailed record of every trade that happens on Kraken exchange, and includes the following information: - Timestamp - The exact date and time of each trade. - Price - The price at which each trade occurred. - Volume - The amount of volume that was traded.

OHLCVT

In addition, OHLCVT data are provided for the most common period interval: 1 min, 5 min, 15 min, 1 hour, 12 hours and 1 day. OHLCVT stands for Open, High, Low, Close, Volume and Trades and represents the following trading information for each time period: - Open - The first traded price - High - The highest traded price - Low - The lowest traded price - Close - The final traded price - Volume - The total volume traded by all trades - Trades - The number of individual trades

Don't hesitate to tell me if you need other period interval 😉 ...

Update

This dataset will be updated every quarter to add new and up to date market trend. Let me know if you need an update more frequently.

Inspiration

Can you beat the market? Let see what you can do with these data!

This dataset contains the predicted prices of the asset XRP over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

XRP 2025 monthly price prediction dataset with minimum, average, and maximum values for each month.

XRP 2030 monthly price prediction dataset with minimum, average, and maximum values for each month.

This dataset contains the predicted prices of the asset THE TICKER IS XRP over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

This dataset contains the predicted prices of the asset Real Xrp over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

Introduction: The "Cryptocurrency Price Analysis Dataset: BTC, ETH, XRP, LTC (2018-2023)" is a comprehensive dataset that captures the daily price movements of six popular cryptocurrencies. It covers a period from January 1, 2018, to May 31, 2023, providing a valuable resource for researchers, analysts, and enthusiasts interested in studying the historical price behavior of these digital assets.

Description: This dataset contains a wealth of information for six major cryptocurrencies: Bitcoin (BTC), Ethereum (ETH), Ripple (XRP), and Litecoin (LTC). The data spans a time frame of over five years, enabling users to explore long-term trends, analyze volatility patterns, and gain insights into market dynamics.

Columns:

1. Crypto: This column specifies the name of the cryptocurrency (e.g., BTC, ETH, XRP, LTC).
2. Date: The date on which the price data was recorded.
3. Open: The opening price of the cryptocurrency at the beginning of the day.
4. High: The highest price reached by the cryptocurrency during the day.
5. Low: The lowest price reached by the cryptocurrency during the day.
6. Close: The closing price of the cryptocurrency at the end of the day.

Use Cases: The dataset offers numerous possibilities for analysis and research within the field of cryptocurrencies. Here are a few potential use cases:

1. Price Analysis: Researchers can investigate the historical price movements of each cryptocurrency to identify trends, patterns, and potential correlations between different assets.
2. Volatility Study: The dataset enables the study of volatility in cryptocurrency markets, helping users understand the frequency and magnitude of price fluctuations.
3. Market Performance: Analysts can analyze the performance of individual cryptocurrencies over time, comparing returns and risk measures to assess their investment potential.
4. Trading Strategies: Traders can utilize the dataset to develop and backtest trading strategies based on technical indicators, price patterns, or machine learning algorithms.
5. Sentiment Analysis: Combine this dataset with external sentiment data to explore the relationship between market sentiment and cryptocurrency price movements. By sharing this dataset on Kaggle, you are providing a valuable resource to the data science community, encouraging collaborative research, and enabling the development of innovative models and solutions within the cryptocurrency domain.

Please note that this dataset is for educational and research purposes only and should not be used for making financial decisions without thorough analysis and consultation with financial professionals.

XRP 2027 monthly price prediction dataset with minimum, average, and maximum values for each month.

Prices for XRPSOL Ripple Solana including live quotes, historical charts and news. XRPSOL Ripple Solana was last updated by Trading Economics this December 2 of 2025.

This dataset contains the predicted prices of the asset NEAR Intents Bridged XRP over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.