100+ datasets found
  1. Cryptocurrency Historical Prices [Updated Daily]

    • kaggle.com
    Updated May 25, 2023
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    Usama Buttar (2023). Cryptocurrency Historical Prices [Updated Daily] [Dataset]. https://www.kaggle.com/datasets/usamabuttar/cryptocurrency-historical-prices-updated-daily
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 25, 2023
    Dataset provided by
    Kaggle
    Authors
    Usama Buttar
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    This dataset contains a comprehensive collection of historical price records for the top 1000 cryptocurrencies. The data in this dataset is updated daily, providing a reliable and up-to-date source of information for cryptocurrency traders, researchers, and enthusiasts.

    Each file in the dataset includes the following columns: date, open price, high price, low price, closing price, adjusted closing price, and trading volume. These columns provide a detailed picture of the daily price movements and trading activity of each cryptocurrency in the dataset.

    The "date" column indicates the day on which the price data was recorded, while the "open" column provides the opening price of the cryptocurrency for that day. The "high" and "low" columns indicate the highest and lowest prices of the cryptocurrency on that day, respectively. The "close" column represents the closing price of the cryptocurrency on that day, while the "adjusted close" column takes into account any dividends or other corporate actions that may have affected the price. Finally, the "volume" column shows the trading volume of the cryptocurrency on that day.

    With this dataset, users can analyze and visualize the performance of individual cryptocurrencies, compare them to one another, and track trends over time. The data is ideal for use in machine learning models, predictive analytics, and other data-driven applications.

  2. Integrated Cryptocurrency Historical Data for a Predictive Data-Driven...

    • cryptodata.center
    Updated Dec 4, 2024
    + more versions
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    cryptodata.center (2024). Integrated Cryptocurrency Historical Data for a Predictive Data-Driven Decision-Making Algorithm - Dataset - CryptoData Hub [Dataset]. https://cryptodata.center/dataset/integrated-cryptocurrency-historical-data-for-a-predictive-data-driven-decision-making-algorithm
    Explore at:
    Dataset updated
    Dec 4, 2024
    Dataset provided by
    CryptoDATA
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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

  3. Top 10 Crypto-Coin Historical Data (2014-2024)

    • kaggle.com
    Updated Dec 2, 2024
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    Farhan Ali (2024). Top 10 Crypto-Coin Historical Data (2014-2024) [Dataset]. https://www.kaggle.com/datasets/farhanali097/top-10-crypto-coin-historical-data-2014-2024
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 2, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Farhan Ali
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    This dataset contains historical price data for the top global cryptocurrencies, sourced from Yahoo Finance. The data spans the following time frames for each cryptocurrency:

    BTC-USD (Bitcoin): From 2014 to December 2024 ETH-USD (Ethereum): From 2017 to December 2024 XRP-USD (Ripple): From 2017 to December 2024 USDT-USD (Tether): From 2017 to December 2024 SOL-USD (Solana): From 2020 to December 2024 BNB-USD (Binance Coin): From 2017 to December 2024 DOGE-USD (Dogecoin): From 2017 to December 2024 USDC-USD (USD Coin): From 2018 to December 2024 ADA-USD (Cardano): From 2017 to December 2024 STETH-USD (Staked Ethereum): From 2020 to December 2024

    Key Features:

    Date: The date of the record. Open: The opening price of the cryptocurrency on that day. High: The highest price during the day. Low: The lowest price during the day. Close: The closing price of the cryptocurrency on that day. Adj Close: The adjusted closing price, factoring in stock splits or dividends (for stablecoins like USDT and USDC, this value should be the same as the closing price). Volume: The trading volume for that day.

    Data Source:

    The dataset is sourced from Yahoo Finance and spans daily data from 2014 to December 2024, offering a rich set of data points for cryptocurrency analysis.

    Use Cases:

    Market Analysis: Analyze price trends and historical market behavior of leading cryptocurrencies. Price Prediction: Use the data to build predictive models, such as time-series forecasting for future price movements. Backtesting: Test trading strategies and financial models on historical data. Volatility Analysis: Assess the volatility of top cryptocurrencies to gauge market risk. Overview of the Cryptocurrencies in the Dataset: Bitcoin (BTC): The pioneer cryptocurrency, often referred to as digital gold and used as a store of value. Ethereum (ETH): A decentralized platform for building smart contracts and decentralized applications (DApps). Ripple (XRP): A payment protocol focused on enabling fast and low-cost international transfers. Tether (USDT): A popular stablecoin pegged to the US Dollar, providing price stability for trading and transactions. Solana (SOL): A high-speed blockchain known for low transaction fees and scalability, often seen as a competitor to Ethereum. Binance Coin (BNB): The native token of Binance, the world's largest cryptocurrency exchange, used for various purposes within the Binance ecosystem. Dogecoin (DOGE): Initially a meme-inspired coin, Dogecoin has gained a strong community and mainstream popularity. USD Coin (USDC): A fully-backed stablecoin pegged to the US Dollar, commonly used in decentralized finance (DeFi) applications. Cardano (ADA): A proof-of-stake blockchain focused on scalability, sustainability, and security. Staked Ethereum (STETH): A token representing Ethereum staked in the Ethereum 2.0 network, earning staking rewards.

    This dataset provides a comprehensive overview of key cryptocurrencies that have shaped and continue to influence the digital asset market. Whether you're conducting research, building prediction models, or analyzing trends, this dataset is an essential resource for understanding the evolution of cryptocurrencies from 2014 to December 2024.

  4. BTC/USDT Historical Price

    • dataandsons.com
    csv, zip
    Updated Mar 10, 2023
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    Romain Delaitre (2023). BTC/USDT Historical Price [Dataset]. https://www.dataandsons.com/data-market/economic/btc-usdt-historical-price
    Explore at:
    zip, csvAvailable download formats
    Dataset updated
    Mar 10, 2023
    Dataset provided by
    Authors
    Romain Delaitre
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Time period covered
    Nov 6, 2017 - Mar 10, 2023
    Description

    About this Dataset

    This dataset contains the prices of Bitcoin every minute over a period from 2017-11-06 03:00 to 2023-03-10 2:59 (YYYY-MM-DD). The data includes the time, close time, open, high, low, close prices, the volume exchanged per minute and the number of trades per minute. It represent Bitcoin prices over 2.8 millions values. This dataset is ideal for anyone who want to track, study and analyze BTC/USDT values over more than 5 years.

    Time range: From 2017-11-06 04:00 to 2023-03-40 14:00

    File format: Datas are in .csv format

    Columns values: - time: Date in milliseconds where observation begins - open: Opening ETH price in the minute - high: Highest ETH price in the minute - low: Lowest ETH price in the minute - close: Closing ETH price in the minute - volume: Volume exchanges between time and close_time - close_time: Date in milliseconds were observation ends

    Category

    Economic

    Keywords

    Bitcoin,BTC,#btc,Cryptocurrency,Crypto

    Row Count

    2808000

    Price

    $149.00

  5. Weekly market cap of all cryptocurrencies combined up to June 2025

    • statista.com
    Updated Jun 30, 2025
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    Weekly market cap of all cryptocurrencies combined up to June 2025 [Dataset]. https://www.statista.com/statistics/730876/cryptocurrency-maket-value/
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    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 2010 - Jun 2025
    Area covered
    Worldwide
    Description

    It is estimated that the cumulative market cap of cryptocurrencies increased in early 2023 after the downfall in November 2022 due to FTX. That value declined in the summer of 2023, however, as international uncertainty grew over a potential recession. Bitcoin's market cap comprised the majority of the overall market capitalization. What is market cap? Market capitalization is a financial measure typically used for publicly traded firms, computed by multiplying the share price by the number of outstanding shares. However, cryptocurrency analysts calculate it as the price of the virtual currencies times the number of coins in the market. This gives cryptocurrency investors an idea of the overall market size, and watching the evolution of the measure tells how much money is flowing in or out of each cryptocurrency. Cryptocurrency as an investment The price of Bitcoin has been erratic, and most other cryptocurrencies follow its larger price swings. This volatility attracts investors who hope to buy when the price is low and sell at its peak, turning a profit. However, this does little for price stability. As such, few firms accept payment in cryptocurrencies. As of June 25, 2025, the cumulative market cap of cryptocurrencies reached a value of ******.

  6. Z

    Bitcoin Historical Prices Dataset

    • data.niaid.nih.gov
    • zenodo.org
    Updated Nov 27, 2020
    + more versions
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    Sumit Banik (2020). Bitcoin Historical Prices Dataset [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_4292990
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    Dataset updated
    Nov 27, 2020
    Dataset authored and provided by
    Sumit Banik
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The following dataset contains the attributes:

    Date: Specific date to be observed for the corresponding price.

    Open: The opening price for the day

    High: The maximum price it has touched for the day

    Low: The minimum price it has touched for the day

    Close: The closing price for the day

    percent_change_24h: Percentage change for the last 24hours

    Volume: Volume of Bitcoin traded at the date

    Market Cap: Market Value of traded Bitcoin

  7. Cryptocurrency Historical Prices

    • kaggle.com
    Updated Jul 7, 2021
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    SRK (2021). Cryptocurrency Historical Prices [Dataset]. https://www.kaggle.com/sudalairajkumar/cryptocurrencypricehistory/metadata
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 7, 2021
    Dataset provided by
    Kaggle
    Authors
    SRK
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    Things like Block chain, Bitcoin, Bitcoin cash, Ethereum, Ripple etc are constantly coming in the news articles I read. So I wanted to understand more about it and this post helped me get started. Once the basics are done, the data scientist inside me started raising questions like:

    1. How many cryptocurrencies are there and what are their prices and valuations?
    2. Why is there a sudden surge in the interest in recent days?

    So what next? Now that we have the price data, I wanted to dig a little more about the factors affecting the price of coins. I started of with Bitcoin and there are quite a few parameters which affect the price of Bitcoin. Thanks to Blockchain Info, I was able to get quite a few parameters on once in two day basis.

    This will help understand the other factors related to Bitcoin price and also help one make future predictions in a better way than just using the historical price.

    Content

    The dataset has one csv file for each currency. Price history is available on a daily basis from April 28, 2013. This dataset has the historical price information of some of the top crypto currencies by market capitalization.

    • Date : date of observation
    • Open : Opening price on the given day
    • High : Highest price on the given day
    • Low : Lowest price on the given day
    • Close : Closing price on the given day
    • Volume : Volume of transactions on the given day
    • Market Cap : Market capitalization in USD

    Acknowledgements

    This data is taken from coinmarketcap and it is free to use the data.

    Cover Image : Photo by Thomas Malama on Unsplash

    Inspiration

    Some of the questions which could be inferred from this dataset are:

    1. How did the historical prices / market capitalizations of various currencies change over time?
    2. Predicting the future price of the currencies
    3. Which currencies are more volatile and which ones are more stable?
    4. How does the price fluctuations of currencies correlate with each other?
    5. Seasonal trend in the price fluctuations
  8. Bitcoin Price History - Dataset, Chart, 5 Years, 10 Years, by Month, Halving...

    • moneymetals.com
    csv, json, xls, xml
    Updated Sep 12, 2024
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    Money Metals Exchange (2024). Bitcoin Price History - Dataset, Chart, 5 Years, 10 Years, by Month, Halving [Dataset]. https://www.moneymetals.com/bitcoin-price
    Explore at:
    json, xml, csv, xlsAvailable download formats
    Dataset updated
    Sep 12, 2024
    Dataset provided by
    Money Metals
    Authors
    Money Metals Exchange
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 3, 2009 - Sep 12, 2023
    Area covered
    World
    Measurement technique
    Tracking market benchmarks and trends
    Description

    In March 2024 Bitcoin BTC reached a new all-time high with prices exceeding 73000 USD marking a milestone for the cryptocurrency market This surge was due to the approval of Bitcoin exchange-traded funds ETFs in the United States allowing investors to access Bitcoin without directly holding it This development increased Bitcoin’s credibility and brought fresh demand from institutional investors echoing previous price surges in 2021 when Tesla announced its 15 billion investment in Bitcoin and Coinbase was listed on the Nasdaq By the end of 2022 Bitcoin prices dropped sharply to 15000 USD following the collapse of cryptocurrency exchange FTX and its bankruptcy which caused a loss of confidence in the market By August 2024 Bitcoin rebounded to approximately 64178 USD but remained volatile due to inflation and interest rate hikes Unlike fiat currency like the US dollar Bitcoin’s supply is finite with 21 million coins as its maximum supply By September 2024 over 92 percent of Bitcoin had been mined Bitcoin’s value is tied to its scarcity and its mining process is regulated through halving events which cut the reward for mining every four years making it harder and more energy-intensive to mine The next halving event in 2024 will reduce the reward to 3125 BTC from its current 625 BTC The final Bitcoin is expected to be mined around 2140 The energy required to mine Bitcoin has led to criticisms about its environmental impact with estimates in 2021 suggesting that one Bitcoin transaction used as much energy as Argentina Bitcoin’s future price is difficult to predict due to the influence of large holders known as whales who own about 92 percent of all Bitcoin These whales can cause dramatic market swings by making large trades and many retail investors still dominate the market While institutional interest has grown it remains a small fraction compared to retail Bitcoin is vulnerable to external factors like regulatory changes and economic crises leading some to believe it is in a speculative bubble However others argue that Bitcoin is still in its early stages of adoption and will grow further as more institutions and governments recognize its potential as a hedge against inflation and a store of value 2024 has also seen the rise of Bitcoin Layer 2 technologies like the Lightning Network which improve scalability by enabling faster and cheaper transactions These innovations are crucial for Bitcoin’s wider adoption especially for day-to-day use and cross-border remittances At the same time central bank digital currencies CBDCs are gaining traction as several governments including China and the European Union have accelerated the development of their own state-controlled digital currencies while Bitcoin remains decentralized offering financial sovereignty for those who prefer independence from government control The rise of CBDCs is expected to increase interest in Bitcoin as a hedge against these centralized currencies Bitcoin’s journey in 2024 highlights its growing institutional acceptance alongside its inherent market volatility While the approval of Bitcoin ETFs has significantly boosted interest the market remains sensitive to events like exchange collapses and regulatory decisions With the limited supply of Bitcoin and improvements in its transaction efficiency it is expected to remain a key player in the financial world for years to come Whether Bitcoin is currently in a speculative bubble or on a sustainable path to greater adoption will ultimately be revealed over time.

  9. d

    Historical Crypto Data | Crypto Market History | +10 years of Crypto data |...

    • datarade.ai
    .json, .csv
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    CoinAPI, Historical Crypto Data | Crypto Market History | +10 years of Crypto data | Trades, OHLCV and Order Books | Crypto Investor Data [Dataset]. https://datarade.ai/data-products/coinapi-historical-crypto-data-crypto-market-history-10-coinapi
    Explore at:
    .json, .csvAvailable download formats
    Dataset provided by
    Coinapi Ltd
    Authors
    CoinAPI
    Area covered
    Cyprus, Ethiopia, Swaziland, Cambodia, Finland, Virgin Islands (British), Peru, Lao People's Democratic Republic, Heard Island and McDonald Islands, Azerbaijan
    Description

    Our extensive historical database captures every significant market movement, from the earliest Bitcoin trades through today's crypto ecosystem, across 350+ global exchanges.

    This rich historical dataset serves multiple critical functions: from enabling sophisticated strategy backtesting and long-term trend analysis to supporting academic research and trading pattern identification. Whether analyzing market volatility, studying price correlations, or conducting deep market research, our historical data provides the reliable foundation needed for meaningful cryptocurrency market analysis.

    Why work with us?

    Market Coverage & Data Types: - Real-time and historical data since 2010 (for chosen assets) - Full order book depth (L2/L3) - Tick-by-tick data - OHLCV across multiple timeframes - Market indexes (VWAP, PRIMKT) - Exchange rates with fiat pairs - Spot, futures, options, and perpetual contracts - Coverage of 90%+ global trading volume - Full Cryptocurrency Investor Data

    Technical Excellence: - 99,9% uptime guarantee - Multiple delivery methods: REST, WebSocket, FIX, S3 - Standardized data format across exchanges - Ultra-low latency data streaming - Detailed documentation - Custom integration assistance

    CoinAPI serves hundreds of institutions worldwide, from trading firms and hedge funds to research organizations and technology providers. Our commitment to data quality and technical excellence makes us the trusted choice for cryptocurrency market data needs.

  10. d

    Crypto Options Data & Derivatives | Real-Time & Historical Cryptocurrency...

    • datarade.ai
    .json, .csv
    Updated Oct 20, 2024
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    CoinAPI (2024). Crypto Options Data & Derivatives | Real-Time & Historical Cryptocurrency Market Data [Dataset]. https://datarade.ai/data-products/coinapi-crypto-options-data-crypto-derivatives-data-opti-coinapi
    Explore at:
    .json, .csvAvailable download formats
    Dataset updated
    Oct 20, 2024
    Dataset provided by
    Coinapi Ltd
    Authors
    CoinAPI
    Area covered
    Uruguay, Russian Federation, Samoa, Montserrat, Sierra Leone, Uzbekistan, Tunisia, Brunei Darussalam, Niue, Iceland
    Description

    Cryptocurrency options markets have grown increasingly sophisticated, requiring reliable data infrastructure to support trading and analysis. Our platform gives you direct access to comprehensive crypto options data through straightforward API connections.

    We capture the complete options chain across major crypto derivatives exchanges, delivering real-time and historical cryptocurrency market data that shows exactly what's happening in these complex markets. Each options contract is tracked with precision - strikes, expiration dates, premiums, open interest, and volume metrics all accessible through our standardized data feeds.

    The data is available through multiple integration methods depending on your needs. Use our REST API for flexible queries and historical analysis, WebSocket for real-time market monitoring, or FIX protocol for institutional-grade connectivity with minimal latency.

    Why work with us?

    Market Coverage & Data Types: - Real-time and historical data since 2010 (for chosen assets) - Full order book depth (L2/L3) - Tick-by-tick data - OHLCV across multiple timeframes - Market indexes (VWAP, PRIMKT) - Exchange rates with fiat pairs - Spot, futures, options, and perpetual contracts - Coverage of 90%+ global trading volume

    Technical Excellence: - 99% uptime guarantee - Multiple delivery methods: REST, WebSocket, FIX, S3 - Standardized data format across exchanges - Ultra-low latency data streaming - Detailed documentation - Custom integration assistance

    When options traders need reliable market intelligence, they don't leave it to chance. That's why trading desks across five continents, quantitative hedge funds managing billions, and fintech innovators building tomorrow's trading platforms all rely on our data infrastructure. We've established ourselves as a dependable source in a market where accuracy isn't just preferred - it's essential. While others promise comprehensive coverage, we deliver it consistently, trade after trade, day after day.

  11. Top 100 Cryptocurrency Historical Data

    • kaggle.com
    Updated Oct 9, 2017
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    Nate (2017). Top 100 Cryptocurrency Historical Data [Dataset]. https://www.kaggle.com/natehenderson/top-100-cryptocurrency-historical-data/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 9, 2017
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Nate
    Description

    This dataset contains historical prices as tracked by www.coinmarketcap.com for the top 100 cryptocurrencies by market capitalization as of September 22, 2017, and is current to that date.

    Each CSV file is named by its cryptocurrency as named on www.coinmarketcap.com, with the sole exception of "I-O Coin" in place of I/O Coin for ease of importing.

    Also accompanying the zip of the top 100 CSVs is a CSV named "Top 100.csv", which is a list of the top 100, ordered 1 to 100 with Bitcoin at the beginning and GridCoin at the end. The second row of this CSV is the Market Cap as of September 22, 2017.

    Row descriptions - Date, string, e.g. "Sep 22, 2017" - Open, float (2 decimal places), e.g. 1234.00 - High, float (2 decimal places), e.g. 1234.00 - Low, float (2 decimal places), e.g. 1234.00 - Close, float (2 decimal places), e.g. 1234.00 - Volume [traded in 24 hours], string, e.g. "1,234,567,890" - Market Cap [Market capitalization], string, e.g. "1,234,567,890"

    This is my first dataset and I would greatly appreciate your feedback. Thanks and enjoy!

  12. Bitcoin BTC/USD price history up to June 30, 2025

    • statista.com
    Updated Jun 30, 2025
    + more versions
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    Statista (2025). Bitcoin BTC/USD price history up to June 30, 2025 [Dataset]. https://www.statista.com/statistics/326707/bitcoin-price-index/
    Explore at:
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 9, 2022 - Jun 30, 2025
    Area covered
    Worldwide
    Description

    Bitcoin (BTC) price again reached an all-time high in 2025, as values exceeded over 107,000 USD in June 2025. That particular price hike was connected to the approval of Bitcoin ETFs in the United States, whilst previous hikes in 2021 were due to events involving Tesla and Coinbase, respectively. Tesla’s announcement in March 2021 that it had acquired 1.5 billion U.S. dollars’ worth of the digital coin, for example, as well as the IPO of the U.S.’ biggest crypto exchange fueled mass interest. The market was noticeably different by the end of 2022, however, with Bitcoin prices reaching roughly 94,315.98 as of May 4, 2025, after another crypto exchange, FTX, filed for bankruptcy. Is the world running out of Bitcoin? Unlike fiat currency like the U.S. dollar - as the Federal Reserve can simply decide to print more banknotes - Bitcoin’s supply is finite: BTC has a maximum supply embedded in its design, of which roughly 89 percent had been reached in April 2021. It is believed that Bitcoin will run out by 2040, despite more powerful mining equipment. This is because mining becomes exponentially more difficult and power-hungry every four years, a part of Bitcoin’s original design. Because of this, a Bitcoin mining transaction could equal the energy consumption of a small country in 2021. Bitcoin’s price outlook: a potential bubble? Cryptocurrencies have few metrics available that allow for forecasting, if only because it is rumored that only a few cryptocurrency holders own a large portion of available supply. These large holders - referred to as “whales” - are said to make up of two percent of anonymous ownership accounts, whilst owning roughly 92 percent of BTC. On top of this, most people who use cryptocurrency-related services worldwide are retail clients rather than institutional investors. This means outlooks on whether Bitcoin prices will fall or grow are difficult to measure, as movements from one large whale already having a significant impact on this market.

  13. Top10_Cryptocurrencies_03_2025

    • kaggle.com
    Updated Apr 29, 2025
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    Albert5913 (2025). Top10_Cryptocurrencies_03_2025 [Dataset]. http://doi.org/10.34740/kaggle/dsv/11615391
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 29, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Albert5913
    License

    http://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/

    Description

    This dataset provides daily historical data for 10 major cryptocurrencies. Each row represents a single trading day, covering the maximum range that was available at the time of extraction.

    Key Features

    Closing Price and Volume: For each cryptocurrency, two columns are provided:

    xxx_closing_price – The daily closing price in USD

    xxx_volume – The daily trading volume

    Date Format: Each date is listed in “dd/mm/yy” format for easy reading.

    Top 10 Cryptocurrencies: Includes well-known coins such as Bitcoin, Ethereum, and others with high market capitalization.

    • Potential Uses

    1.Exploratory data analysis or visualizations of crypto market trends

    2.Time-series modeling, forecasting, or anomaly detection

    3.Comparative studies between multiple cryptocurrencies

  14. Bitcoin (BTC) vs altcoin dominance history up to February 4, 2025

    • statista.com
    • ai-chatbox.pro
    Updated Jun 23, 2025
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    Statista (2025). Bitcoin (BTC) vs altcoin dominance history up to February 4, 2025 [Dataset]. https://www.statista.com/statistics/1269669/bitcoin-dominance-historical-development/
    Explore at:
    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Bitcoin dominance steadily declined in April 2024 to below ** percent, amid rumors of central banks halting or potentially lowering interest rates in the future. Within the crypto world, this so-called "dominance" ratio is one of the oldest and most investigated metrics available. It measures the coin's market cap relative to the overall crypto market — effectively showing how strong Bitcoin compared to all the other cryptocurrencies that are not BTC, called "altcoins". Why dominance matters is because market caps of any crypto can change relatively quickly, either due to sudden price changes or a change of recorded trading volume. Essentially, the figure somewhat resembles a trading sentiment, revealing whether Bitcoin investors are responding to certain events or whether Bitcoin is losing out on functions offered by, for example, stablecoins or NFT tokens. "Dominance" criticism: Ethereum and stablecoin The interpretation of the Bitcoin metric is not without its criticism. When first conceived, Bitcoin was the first cryptocurrency to be created and had a substantial market share within all cryptocurrencies? The overall share of stablecoins, such as Tether, as well as Ethereum increasingly start to resemble that of Bitcoin, however. Some analysts argue against this comparison. For one, they point towards the large influence of trading activity between Bitcoin and Ethereum in the dominance metric. Second, they argue that stablecoins can be traded in for Bitcoin and Ethereum, essentially showing how much investors are willing to engage with "regular" cryptocurrency. A rally around Bitcoin in late 2023? By December 2023, the Bitcoin price reached roughly 41,000 U.S. dollars — the first time in 20 months such a value was reached. A weaker U.S. dollar, speculation on decreasing interest rates, and a potential Bitcoin ETF approval are believed to be at the heart of this price increase. Whether this will hold in 2024 is unclear: The monthly interest rate from the U.S. Fed is speculated to decrease in 2024, despite a vow of "higher for longer". In December 2023, the thought of decreasing interest rates and the potential of a Bitcoin ETF fuelled market sentiment towards riskier assets.

  15. m

    Cryptocurrency dataset

    • data.mendeley.com
    Updated Mar 10, 2025
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    Susrita Mahapatro (2025). Cryptocurrency dataset [Dataset]. http://doi.org/10.17632/5tv4bmrrf8.2
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    Dataset updated
    Mar 10, 2025
    Authors
    Susrita Mahapatro
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The dataset used in this research is a historical record of Bitcoin, Ethereum, and Litecoin’s daily trading activity, containing essential financial metrics for each date. This sample includes the following columns: Date: The specific day of each recorded entry, showing a continuous timeline. Open: The price of currencies at the start of the trading day. High: The highest price of currencies reached during the day. Low: The lowest price of currencies traded throughout the day. Close: The closing price of the currencies at the end of the trading day. Volume: The total trading volume, indicating the number of currencies traded that day in units. Market Cap: The total market capitalization of currencies, calculated as the total supply multiplied by the closing price.

  16. A

    ‘Ethereum Cryptocurrency Historical Dataset ’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Sep 30, 2021
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2021). ‘Ethereum Cryptocurrency Historical Dataset ’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-ethereum-cryptocurrency-historical-dataset-c5e9/08834dae/?iid=003-775&v=presentation
    Explore at:
    Dataset updated
    Sep 30, 2021
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Analysis of ‘Ethereum Cryptocurrency Historical Dataset ’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/kaushiksuresh147/ethereum-cryptocurrency-historical-dataset on 30 September 2021.

    --- Dataset description provided by original source is as follows ---

    https://www.bernardmarr.com/img/What%20Is%20The%20Difference%20Between%20Bitcoin%20and%20Ethereum.png">

    Context

    Ethereum a decentralized, open-source blockchain featuring smart contract functionality was proposed in 2013 by programmer Vitalik Buterin. Development was crowdfunded in 2014, and the network went live on 30 July 2015, with 72 million coins premined.

    Some interesting facts about Ethereum(ETH): - Ether (ETH) is the native cryptocurrency of the platform. It is the second-largest cryptocurrency by market capitalization, after Bitcoin. Ethereum is the most actively used blockchain. - Some of the world’s leading corporations joined the EEA(Ethereum Alliance, is a collaboration of many block start-ups) and supported “further development.” Some of the most famous companies are Samsung SDS, Toyota Research Institute, Banco Santander, Microsoft, J.P.Morgan, Merck GaA, Intel, Deloitte, DTCC, ING, Accenture, Consensys, Bank of Canada, and BNY Mellon.

    Content

    The dataset consists of ETH prices from March-2016 to the current date(1830days) and the dataset will be updated on a weekly basis.

    Information regarding the data

    The data totally consists of 1813 records(1813 days) with 7 columns. The description of the features is given below

    | No |Columns | Descriptions | | -- | -- | -- | | 1 | Date | Date of the ETH prices | | 2 | Price | Prices of ETH(dollars) | | 3 | Open | Opening price of ETH on the respective date(Dollars) | | 4 | High | Highest price of ETH on the respective date(Dollars) | | 5 | Low | Lowest price of ETH on the respective date(Dollars) | | 6 | Vol. | Volume of ETH on the respective date(Dollars). | | 7 | Change % | Percentage of Change in ETH prices on the respective date | |

    Acknowledgements

    The dataset was extracted from investing.com

    Inspiration

    Experts say that ethereum has a huge potential in the future. Do you believe it? Well, let's find it by building our own creative models to predict if the statement is true.

    --- Original source retains full ownership of the source dataset ---

  17. Popular Cryptocurrency Historical Data

    • kaggle.com
    Updated Dec 4, 2021
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    Nicholas Ward (2021). Popular Cryptocurrency Historical Data [Dataset]. https://www.kaggle.com/nward7/popular-cryptocurrency-historical-data/activity
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 4, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Nicholas Ward
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Content

    These are historical datasets of the current top 10 most popular cryptocurrencies. As of now: 1. Bitcoin 2. Ethereum 3. Binance Coin 4. Tether 5. Solana 6. Cardano 7. USD Coin 8. XRP 9. Polkadot 10. Terra

    Date : Date of observation Open : Opening price on the given day High : Highest price on the given day Low : Lowest price on the given day Close : Closing price on the given day Volume : Volume of transactions on the given day Market Cap : Market capitalization

    Acknowledgements

    Found all the historical data from website: https://coinmarketcap.com/

  18. c

    Historical Crypto Data | Crypto Market History | +10 years of Crypto data |...

    • dataproducts.coinapi.io
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    CoinAPI, Historical Crypto Data | Crypto Market History | +10 years of Crypto data | Trades, OHLCV and Order Books | Crypto Investor Data [Dataset]. https://dataproducts.coinapi.io/products/coinapi-historical-crypto-data-crypto-market-history-10-coinapi
    Explore at:
    Dataset provided by
    Coinapi Ltd
    Authors
    CoinAPI
    Area covered
    Micronesia, Norfolk Island, Pakistan, Niue, Falkland Islands (Malvinas), Palestine, Taiwan, Cocos (Keeling) Islands, Faroe Islands, Czechia
    Description

    CoinAPI offers over 10 years of historical cryptocurrency data, covering trades, OHLCV, and order books for in-depth market analysis. Access comprehensive crypto market history for reliable price analysis and trend assessment across global exchanges. Full Cryptocurrency Investor Data.

  19. Bitcoin Information Service Market Report | Global Forecast From 2025 To...

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 23, 2024
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    Dataintelo (2024). Bitcoin Information Service Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-bitcoin-information-service-market
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Sep 23, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Bitcoin Information Service Market Outlook



    In 2023, the global Bitcoin information service market size was valued at approximately USD 1.2 billion and is expected to reach around USD 4.5 billion by 2032, growing at a compound annual growth rate (CAGR) of 15.6% during the forecast period. The market growth is driven by the increasing adoption of Bitcoin and other cryptocurrencies, necessitating reliable, real-time information for investors and institutions.



    One of the primary growth factors for this market is the surge in cryptocurrency investments. As Bitcoin continues to establish itself as a digital asset, both individual and institutional investors are increasingly looking for trustworthy information sources to guide their investment decisions. The volatility and rapid price movements inherent in the cryptocurrency market make timely and accurate information essential, fueling demand for comprehensive Bitcoin information services.



    Another significant growth factor is the regulatory environment evolving around cryptocurrencies. As governments and regulatory bodies worldwide begin to implement frameworks for cryptocurrency trading and investment, the need for up-to-date regulatory information becomes crucial. Bitcoin information services that offer insights into regulatory changes and compliance requirements are becoming indispensable for investors and financial institutions, further driving market growth.



    The technological advancements in data analytics and artificial intelligence are also contributing to the market expansion. These technologies enable Bitcoin information services to provide more precise market predictions, trend analyses, and risk assessments. Enhanced data processing capabilities allow for real-time updates and personalized information delivery, making these services increasingly attractive to a broad user base.



    Regionally, North America is expected to dominate the Bitcoin information service market, thanks to the high adoption rate of cryptocurrencies and advanced technological infrastructure. Europe and Asia Pacific follow closely, with significant contributions expected from countries like Germany, the United Kingdom, China, and Japan. In particular, Asia Pacific is projected to exhibit the highest CAGR due to the growing interest in Bitcoin and other digital assets among retail and institutional investors.



    Service Type Analysis



    The Bitcoin information service market can be segmented by service type into News and Analysis, Market Data, Educational Resources, and Others. News and Analysis services are critical for investors looking to stay updated with the latest happenings in the Bitcoin world. These services offer real-time news updates, expert opinions, and in-depth analyses of market trends. The increasing complexity of the cryptocurrency market and the need for immediate, reliable information are driving the growth of this segment.



    Market Data services provide detailed metrics and statistics about Bitcoin trading, such as price charts, trading volumes, and historical data. These services are essential for both individual and institutional investors who need accurate data to inform their trading strategies. The growing demand for sophisticated trading tools and the importance of data-driven decision-making are bolstering this segment.



    Educational Resources include webinars, courses, e-books, and tutorials designed to help users understand Bitcoin and its underlying technology. As the adoption of Bitcoin continues to rise, there is a parallel need for education to help users navigate this complex field. Educational services are especially important for new investors and those looking to deepen their understanding of cryptocurrency markets.



    Other services in this market may include forums, discussion boards, and social media platforms that allow users to share information and insights. These collaborative platforms are gaining popularity as they provide a space for real-time information exchange and community support. The growing interest in peer-to-peer information sharing and community-driven insights is expected to drive this segment's growth.



    Report Scope




    <t

    Attributes Details
  20. d

    Crypto Quotes: Real-Time & Historical CEX/DEX Data | Crypto Data | Bid Price...

    • datarade.ai
    .json, .csv
    + more versions
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    CoinAPI, Crypto Quotes: Real-Time & Historical CEX/DEX Data | Crypto Data | Bid Price | Ask Price [Dataset]. https://datarade.ai/data-products/coinapi-crypto-quotes-data-real-time-historical-quotes-coinapi
    Explore at:
    .json, .csvAvailable download formats
    Dataset provided by
    Coinapi Ltd
    Authors
    CoinAPI
    Area covered
    Bahamas, Croatia, Oman, France, El Salvador, Papua New Guinea, Vanuatu, Marshall Islands, Vietnam, Saudi Arabia
    Description

    CoinAPI's Level 1 Crypto Quote Data delivers essential digital asset market intelligence, capturing real-time bid/ask prices and volumes across 350+ exchanges including both CEX and DEX platforms.

    This comprehensive data stream provides precise market snapshots with microsecond-accurate timestamps, perfect for applications demanding rapid price discovery and effective market monitoring.

    Designed for minimal latency and maximum update frequency, our feed powers everything from sophisticated trading algorithms and responsive price widgets to in-depth market analysis tools.

    You can access data through FIX or WebSocket for instant streaming or REST API for historical analysis and backtesting.

    Why work with us?

    Market Coverage & Data Types: - Real-time and historical data since 2010 (for chosen assets) - Full order book depth (L2/L3) - Tick-by-tick data - OHLCV across multiple timeframes - Market indexes (VWAP, PRIMKT) - Exchange rates with fiat pairs - Spot, futures, options, and perpetual contracts - Coverage of 90%+ global trading volume - Full Cryptocurrency Investor Data

    Technical Excellence: - 99,9% uptime guarantee - Multiple delivery methods: REST, WebSocket, FIX, S3 - Standardized data format across exchanges - Ultra-low latency data streaming - Detailed documentation - Custom integration assistance

    CoinAPI is trusted by financial institutions, trading firms, hedge funds, researchers, and technology developers worldwide. We provide reliable cryptocurrency market data through our commitment to quality and technical performance.

Share
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Click to copy link
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Close
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Usama Buttar (2023). Cryptocurrency Historical Prices [Updated Daily] [Dataset]. https://www.kaggle.com/datasets/usamabuttar/cryptocurrency-historical-prices-updated-daily
Organization logo

Cryptocurrency Historical Prices [Updated Daily]

Daily Updated Historical Prices Of Top 1000 Cryptocurrencies

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
May 25, 2023
Dataset provided by
Kaggle
Authors
Usama Buttar
License

https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

Description

This dataset contains a comprehensive collection of historical price records for the top 1000 cryptocurrencies. The data in this dataset is updated daily, providing a reliable and up-to-date source of information for cryptocurrency traders, researchers, and enthusiasts.

Each file in the dataset includes the following columns: date, open price, high price, low price, closing price, adjusted closing price, and trading volume. These columns provide a detailed picture of the daily price movements and trading activity of each cryptocurrency in the dataset.

The "date" column indicates the day on which the price data was recorded, while the "open" column provides the opening price of the cryptocurrency for that day. The "high" and "low" columns indicate the highest and lowest prices of the cryptocurrency on that day, respectively. The "close" column represents the closing price of the cryptocurrency on that day, while the "adjusted close" column takes into account any dividends or other corporate actions that may have affected the price. Finally, the "volume" column shows the trading volume of the cryptocurrency on that day.

With this dataset, users can analyze and visualize the performance of individual cryptocurrencies, compare them to one another, and track trends over time. The data is ideal for use in machine learning models, predictive analytics, and other data-driven applications.

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