Ripple, or XRP, prices surged in 2021 but went down significantly as 2022 progressed. As of February 23, 2026, one XRP token was worth 1.39 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.

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.

Predictions and real-time odds on "XRP all time high by _?" sourced from Polymarket.

🚀 Top 50 Cryptocurrencies — Historical Market Data

⭐ Do upvote 👍 if you find this dataset helpful!
Your support motivates more high-quality open datasets for the community.

📊 Subtitle

Historical OHLCV Prices, Returns & Market Metrics for Leading Digital Assets

🧾 Dataset Description

This dataset provides clean, structured, and analysis-ready historical market data for the Top 50 cryptocurrencies, collected using Yahoo Finance (via yfinance).

It is designed for: - 📈 Exploratory Data Analysis (EDA) - ⏳ Time-Series Analysis - 🤖 Machine Learning & Forecasting - 📚 Academic & Educational Use - 💼 Financial & Crypto Market Research

The dataset includes daily OHLCV (Open, High, Low, Close, Volume) price data over the maximum available historical period for each cryptocurrency, enabling analysis of long-term trends, volatility, correlations, and market cycles.

All files are provided in CSV format, ensuring compatibility with Python, R, Excel, Power BI, Tableau, and other analytics tools.

🪙 Cryptocurrencies Included (Top 50)

The dataset covers major cryptocurrencies across multiple categories such as store-of-value assets, smart-contract platforms, DeFi tokens, Layer-2 solutions, and meme coins.

Examples include Bitcoin (BTC), Ethereum (ETH), Binance Coin (BNB), Solana (SOL), Cardano (ADA), XRP (XRP), Dogecoin (DOGE), Polygon (MATIC), Avalanche (AVAX), Polkadot (DOT), Chainlink (LINK), Uniswap (UNI), Shiba Inu (SHIB), Pepe (PEPE), and many more — 50 assets in total.

Each cryptocurrency is stored as an individual CSV file, allowing independent analysis or easy merging into a master dataset.

🧱 Dataset Structure

crypto_data/
├── bitcoin.csv
├── ethereum.csv
├── solana.csv
├── dogecoin.csv
├── ...
└── (50 CSV files in total)

📑 Column Descriptions

Each CSV file contains the following columns:

All prices are denominated in US Dollars (USD).

✨ Key Features

• Daily historical OHLCV data
• Covers top 50 cryptocurrencies by market relevance
• Clean, readable, and well-structured CSV files
• Ready for EDA, ML models, and forecasting
• Ideal for Kaggle notebooks and datasets

🎯 Use Cases

This dataset can be used for: - Cryptocurrency price trend analysis
- Volatility and risk modeling
- Correlation and portfolio analysis
- Time-series forecasting (ARIMA, Prophet, LSTM)
- Machine learning and deep learning experiments
- Teaching and academic research

📜 Data Source & License

• Source: Yahoo Finance (via yfinance)
• License: Provided for educational and research purposes
• Update Frequency: Static snapshot

⚠️ Notes

• Some cryptocurrencies may have shorter historical coverage depending on launch date
• Missing or zero values may appear in early trading periods
• Trading volume availability varies across assets and time

⭐ Why This Dataset Is Valuable

This dataset offers a standardized, long-term view of the cryptocurrency market, making it a strong resource for financial analytics, crypto economics, and data-driven market insights.

🙏 If this dataset helps your work, please consider upvoting 👍
It helps the Kaggle community and motivates future datasets.

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!

The price of the cryptocurrency based on the famous internet meme broke its price decline in early November 2022, as people started buying the coin after FTX's collapse. This rally only lasted for a few days, however, as a Dogecoin was worth roughly 0.1 U.S. dollars on February 23, 2026. This is a different development than in 2021, when the crypto became very popular in a short amount of time. Between January 28 and January 29, 2021, Dogecoin's value grew by around 216 percent to 0.023535 U.S. dollars after comments from Tesla CEO Elon Musk. The digital coin quickly grew to become the most talked-about cryptocurrency available, not necessarily for its price - the prices of Bitcoin (BTC), Ethereum (ETH), Ripple (XRP), and several other virtual currencies were much higher than those of DOGE - but for its growth.

The MOEX index, the most prominent ruble-denominated index of stocks listed on the Moscow Stock Exchange, fell by nearly one third of its value between February 13 and February 20, 2022, following the Russian invasion of Ukraine. It has since fluctuated significantly and stood at 2,831.55 as of March 22, 2025. The MOEX index is considered the primary index for domestic investors in Russia. It contains the same components as the RTS index, however the latter is denominated in U.S. dollars and therefore preferred by many international investors.

Extremely Retarded People Ang pagsubaybay sa kasaysayan ng presyo ay nagbibigay-daan sa mga crypto investor na madaling masubaybayan ang performance ng kanilang pamumuhunan. Maginhawa mong masusubaybayan ang opening value, high, at close sa Extremely Retarded People sa paglipas ng panahon, pati na rin ang trade volume. Bukod pa rito, maaari mong agad na tingnan ang pang-araw-araw na pagbabago bilang isang porsyento, na ginagawang effortless na tukuyin ang mga araw na may significant fluctuations. Ayon sa aming data ng history ng presyo ng Extremely Retarded People, tumaas ang halaga nito sa hindi pa naganap na peak sa 2026-03-29, na lumampas sa -- USD. Sa kabilang banda, ang pinakamababang punto sa trajectory ng presyo ni Extremely Retarded People, na karaniwang tinutukoy bilang "Extremely Retarded People all-time low", ay naganap noong 2026-03-29. Kung ang isa ay bumili ng Extremely Retarded People sa panahong iyon, kasalukuyan silang masisiyahan sa isang kahanga-hangang kita na 0%. Sa pamamagitan ng disenyo, ang 999,981,928.57 Extremely Retarded People ay malilikha. Sa ngayon, ang circulating supply ng Extremely Retarded People ay tinatayang 999,981,950. Ang lahat ng mga presyong nakalista sa pahinang ito ay nakuha mula sa Bitget, galing sa isang reliable source. Napakahalagang umasa sa iisang pinagmulan upang suriin ang iyong mga investment, dahil maaaring mag-iba ang mga halaga sa iba't ibang nagbebenta. Kasama sa aming makasaysayang Extremely Retarded People dataset ng presyo ang data sa pagitan ng 1 minuto, 1 araw, 1 linggo, at 1 buwan (bukas/mataas/mababa/close/volume). Ang mga dataset na ito ay sumailalim sa mahigpit na pagsubok upang matiyak ang consistency, pagkakumpleto, at accurancy. Ang mga ito ay partikular na idinisenyo para sa trade simulation at mga layunin ng backtesting, madaling magagamit para sa libreng pag-download, at na-update sa real-time.

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-CAD 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!

The market cap of the top 10 stablecoin initially multiplied over time, reaching a combined value of over ****** billion USD in September 2025. Note this value does not include TerraUSD (UST), the algorithmic stablecoin tied to the LUNA crypto which declined severely in May 2022. Up to then, estimates reveal that the market cap had more than tripled within five months - likely following growing interest worldwide in cryptocurrencies, after sudden price spikes in a coin like Dogecoin (DOGE). Stability above all, or what does a stablecoin do? Stablecoins are cryptocurrencies - like the commonly known Bitcoin (BTC) and Ethereum (ETH) - but their value is determined differently. Whilst the price of Bitcoin mainly follows supply - how many coins are being mined or are available to purchase - and demand - how many investors want to buy the coin - stablecoins are synthetically connected to the price of an altogether different asset. Tether's USDT, for instance, is connected to the price development of the U.S. dollar (USD): if the U.S. dollar falls in the FX market, so does the USDT. Compare this to the "regular" price history of a cryptocurrency like Ripple (XRP) and stablecoins reveal themselves to be a relatively less volatile digital currency to either use or invest in than their counterparts in the free market. A test ground for digital payments This stability of these particular cryptocurrencies is important for two areas in digital payments that do not prefer volatility. For instance, these coins are a popular choice within the world of Decentralized Finance or DeFi - an online financial market without the supervision of central bank that relies on cryptocurrencies for payments and loans. Because of that reliance, it is a market that can rapidly change in size due to price fluctuations or changing transaction fees of certain cryptocurrencies - something that is less likely to occur when using stablecoins. Additionally, stablecoins are considered the inspiration for so-called CBDC or Central Bank Digital Currencies - such as China's e-CNY currency or the "digital euro" that is being researched in the EU-27. In terms of how advanced countries worldwide are into researching their own cryptocurrency, China ranked third in 2020, behind Cambodia, and The Bahamas.

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-GBP 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!

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