Ripple, or XRP, prices surged in 2021 but went down significantly as 2022 progressed. As of August 27, 2025, one XRP token was worth 3.01 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.

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

Prices for XRPUSC Ripple USD Coin including live quotes, historical charts and news. XRPUSC Ripple USD Coin was last updated by Trading Economics this September 8 of 2025.

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.

Detailed Price metrics and analytics for XRP, including historical data and trends.

• 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

Cryptocurrency historical datasets from January 2012 (if available) to October 2021 were obtained and integrated from various sources and Application Programming Interfaces (APIs) including Yahoo Finance, Cryptodownload, CoinMarketCap, various Kaggle datasets, and multiple APIs. While these datasets used various formats of time (e.g., minutes, hours, days), in order to integrate the datasets days format was used for in this research study. The integrated cryptocurrency historical datasets for 80 cryptocurrencies including but not limited to Bitcoin (BTC), Ethereum (ETH), Binance Coin (BNB), Cardano (ADA), Tether (USDT), Ripple (XRP), Solana (SOL), Polkadot (DOT), USD Coin (USDC), Dogecoin (DOGE), Tron (TRX), Bitcoin Cash (BCH), Litecoin (LTC), EOS (EOS), Cosmos (ATOM), Stellar (XLM), Wrapped Bitcoin (WBTC), Uniswap (UNI), Terra (LUNA), SHIBA INU (SHIB), and 60 more cryptocurrencies were uploaded in this online Mendeley data repository. Although the primary attribute of including the mentioned cryptocurrencies was the Market Capitalization, a subject matter expert i.e., a professional trader has also guided the initial selection of the cryptocurrencies by analyzing various indicators such as Relative Strength Index (RSI), Moving Average Convergence/Divergence (MACD), MYC Signals, Bollinger Bands, Fibonacci Retracement, Stochastic Oscillator and Ichimoku Cloud. The primary features of this dataset that were used as the decision-making criteria of the CLUS-MCDA II approach are Timestamps, Open, High, Low, Closed, Volume (Currency), % Change (7 days and 24 hours), Market Cap and Weighted Price values. The available excel and CSV files in this data set are just part of the integrated data and other databases, datasets and API References that was used in this study are as follows: [1] https://finance.yahoo.com/ [2] https://coinmarketcap.com/historical/ [3] https://cryptodatadownload.com/ [4] https://kaggle.com/philmohun/cryptocurrency-financial-data [5] https://kaggle.com/deepshah16/meme-cryptocurrency-historical-data [6] https://kaggle.com/sudalairajkumar/cryptocurrencypricehistory [7] https://min-api.cryptocompare.com/data/price?fsym=BTC&tsyms=USD [8] https://min-api.cryptocompare.com/ [9] https://p.nomics.com/cryptocurrency-bitcoin-api [10] https://www.coinapi.io/ [11] https://www.coingecko.com/en/api [12] https://cryptowat.ch/ [13] https://www.alphavantage.co/ This dataset is part of the CLUS-MCDA (Cluster analysis for improving Multiple Criteria Decision Analysis) and CLUS-MCDAII Project: https://aimaghsoodi.github.io/CLUSMCDA-R-Package/ https://github.com/Aimaghsoodi/CLUS-MCDA-II https://github.com/azadkavian/CLUS-MCDA

Prices for XRPNZD XRPNZD including live quotes, historical charts and news. XRPNZD XRPNZD was last updated by Trading Economics this September 10 of 2025.

Historical price and volatility data for US Dollar in XRP across different time periods.

Historical price and volatility data for XRP in Polish Zloty across different time periods.

Historical price and volatility data for XRP in Polish Zloty across different time periods.

Cryptocurrency historical datasets from January 2012 (if available) to October 2021 were obtained and integrated from various sources and Application Programming Interfaces (APIs) including Yahoo Finance, Cryptodownload, CoinMarketCap, various Kaggle datasets, and multiple APIs. While these datasets used various formats of time (e.g., minutes, hours, days), in order to integrate the datasets days format was used for in this research study. The integrated cryptocurrency historical datasets for 80 cryptocurrencies including but not limited to Bitcoin (BTC), Ethereum (ETH), Binance Coin (BNB), Cardano (ADA), Tether (USDT), Ripple (XRP), Solana (SOL), Polkadot (DOT), USD Coin (USDC), Dogecoin (DOGE), Tron (TRX), Bitcoin Cash (BCH), Litecoin (LTC), EOS (EOS), Cosmos (ATOM), Stellar (XLM), Wrapped Bitcoin (WBTC), Uniswap (UNI), Terra (LUNA), SHIBA INU (SHIB), and 60 more cryptocurrencies were uploaded in this online Mendeley data repository. Although the primary attribute of including the mentioned cryptocurrencies was the Market Capitalization, a subject matter expert i.e., a professional trader has also guided the initial selection of the cryptocurrencies by analyzing various indicators such as Relative Strength Index (RSI), Moving Average Convergence/Divergence (MACD), MYC Signals, Bollinger Bands, Fibonacci Retracement, Stochastic Oscillator and Ichimoku Cloud. The primary features of this dataset that were used as the decision-making criteria of the CLUS-MCDA II approach are Timestamps, Open, High, Low, Closed, Volume (Currency), % Change (7 days and 24 hours), Market Cap and Weighted Price values. The available excel and CSV files in this data set are just part of the integrated data and other databases, datasets and API References that was used in this study are as follows: [1] https://finance.yahoo.com/ [2] https://coinmarketcap.com/historical/ [3] https://cryptodatadownload.com/ [4] https://kaggle.com/philmohun/cryptocurrency-financial-data [5] https://kaggle.com/deepshah16/meme-cryptocurrency-historical-data [6] https://kaggle.com/sudalairajkumar/cryptocurrencypricehistory [7] https://min-api.cryptocompare.com/data/price?fsym=BTC&tsyms=USD [8] https://min-api.cryptocompare.com/ [9] https://p.nomics.com/cryptocurrency-bitcoin-api [10] https://www.coinapi.io/ [11] https://www.coingecko.com/en/api [12] https://cryptowat.ch/ [13] https://www.alphavantage.co/

This dataset is part of the CLUS-MCDA (Cluster analysis for improving Multiple Criteria Decision Analysis) and CLUS-MCDAII Project: https://aimaghsoodi.github.io/CLUSMCDA-R-Package/ https://github.com/Aimaghsoodi/CLUS-MCDA-II https://github.com/azadkavian/CLUS-MCDA

Prices for XRPCNY XRPCNY including live quotes, historical charts and news. XRPCNY XRPCNY was last updated by Trading Economics this September 9 of 2025.

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-XBT 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!

Prices for XRPALG Ripple Algorand including live quotes, historical charts and news. XRPALG Ripple Algorand was last updated by Trading Economics this September 8 of 2025.

Historical price and volatility data for XRP in Polish Zloty across different time periods.

Historical price and volatility data for Chinese Yuan Renminbi in XRP across different time periods.

Prices for XMRXRP Monero Ripple including live quotes, historical charts and news. XMRXRP Monero Ripple was last updated by Trading Economics this September 8 of 2025.

Prices for XRPSOL Ripple Solana including live quotes, historical charts and news. XRPSOL Ripple Solana was last updated by Trading Economics this September 9 of 2025.

Prices for DOTXRP Polkadot Ripple including live quotes, historical charts and news. DOTXRP Polkadot Ripple was last updated by Trading Economics this September 9 of 2025.