21 datasets found
  1. Biggest Ethereum (ETH) exchanges based on 24h volume on March 21, 2025

    • statista.com
    Updated Mar 21, 2025
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    Statista (2025). Biggest Ethereum (ETH) exchanges based on 24h volume on March 21, 2025 [Dataset]. https://www.statista.com/statistics/1278068/biggest-ethereum-spot-markets/
    Explore at:
    Dataset updated
    Mar 21, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 21, 2025
    Area covered
    Worldwide
    Description

    The most popular Ethereum trade in June 2024 involved the pair Ethereum/Tether pair on Binance, making up nearly four percent of total 24h trade volume. Trades involving Ethereum and Tether were also frequent on other exchanges, such as FMFW.io, HitBTC, and Coinsbit. Among the biggest cryptocurrency exchanges in the world, Ethereum was traded relatively frequently on Binance — having multiple entries in this list, with the ETH/BUSD and ETH/BTC pairs — whereas no trades were observed for a platform like Mandala Exchange.

  2. Daily 24h trade volume of all crypto combined up to March 21, 2025

    • statista.com
    Updated Mar 21, 2025
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    Statista (2025). Daily 24h trade volume of all crypto combined up to March 21, 2025 [Dataset]. https://www.statista.com/statistics/1272903/cryptocurrency-trade-volume/
    Explore at:
    Dataset updated
    Mar 21, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Crypto 24h trading volume declined as 2023 progressed, with figures being one-third lower than in 2022. The decline follows after Binance and Coins - two of the biggest crypto exchanges in the world - received lawsuits in the United States. Observations are also that the crypto market was quiet after April, citing a lack of a "strong overarching narrative". This is in contrast to 2021 and 2022 when cryptocurrency dominated the news and many people sought fortune in the digital currency.

    Bitcoin developments

    Bitcoin's trade volume slowed in the second quarter of 2023, after hitting a noticeable growth at the beginning of the year. The coin outperformed most of the market. Some attribute this to the announcement in June 203 that BlackRock filed for a Bitcoin ETF. This iShares Bitcoin Trust was to use Coinbase Custody as its custodian. Regulators in the United States had not yet approved any applications for spot ETFs on Bitcoin.

    Changes in Ethereum staking in 2023

    Ethereum's trade volume changed in 2023 due to the rollout of the Shapella (Shanghai and Cappella) upgrade. The update allowed investors to withdraw (unstake) Ethereum deposited into the network. Staking can be somewhat compared to depositing money at a bank, where one would submit money to be held and gains interest as time goes by. Lido has the highest staking pool (a platform that allows for staking) in Ethereum, higher than major crypto exchanges Coinbase and Kraken.

  3. KAVA-ETH Stock Market @Kraken

    • kaggle.com
    Updated Mar 9, 2022
    + more versions
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    olmatz (2022). KAVA-ETH Stock Market @Kraken [Dataset]. https://www.kaggle.com/olmatz/kavaeth-stock-market-kraken
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 9, 2022
    Dataset provided by
    Kaggle
    Authors
    olmatz
    License

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

    Description

    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 KAVA-ETH 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!

  4. Ethereum Classic - Dataset - CryptoData Hub

    • cryptodata.center
    Updated Dec 4, 2024
    + more versions
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    cryptodata.center (2024). Ethereum Classic - Dataset - CryptoData Hub [Dataset]. https://cryptodata.center/dataset/ethereum-classic
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    Dataset updated
    Dec 4, 2024
    Dataset provided by
    CryptoDATA
    Description

    Daily cryptocurrency data (transaction count, on-chain transaction volume, value of created coins, price, market cap, and exchange volume) in CSV format. The data sample stretches back to December 2013. Daily on-chain transaction volume is calculated as the sum of all transaction outputs belonging to the blocks mined on the given day. “Change” outputs are not included. Transaction count figure doesn’t include coinbase transactions. Zcash figures for on-chain volume and transaction count reflect data collected for transparent transactions only. In the last month, 10.5% (11/18/17) of ZEC transactions were shielded, and these are excluded from the analysis due to their private nature. Thus transaction volume figures in reality are higher than the estimate presented here, and NVT and exchange to transaction value lower. Data on shielded and transparent transactions can be found here and here. Decred data doesn’t include tickets and voting transactions. Monero transaction volume is impossible to calculate due to RingCT which hides transaction amounts.

  5. o

    Ethereum

    • public.opendatasoft.com
    • data.smartidf.services
    • +1more
    csv, excel, json
    Updated Apr 11, 2022
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    (2022). Ethereum [Dataset]. https://public.opendatasoft.com/explore/dataset/ethereum/
    Explore at:
    csv, json, excelAvailable download formats
    Dataset updated
    Apr 11, 2022
    Description

    Daily cryptocurrency data (transaction count, on-chain transaction volume, value of created coins, price, market cap, and exchange volume) in CSV format. The data sample stretches back to December 2013. Daily on-chain transaction volume is calculated as the sum of all transaction outputs belonging to the blocks mined on the given day. “Change” outputs are not included. Transaction count figure doesn’t include coinbase transactions. Zcash figures for on-chain volume and transaction count reflect data collected for transparent transactions only. In the last month, 10.5% (11/18/17) of ZEC transactions were shielded, and these are excluded from the analysis due to their private nature. Thus transaction volume figures in reality are higher than the estimate presented here, and NVT and exchange to transaction value lower. Data on shielded and transparent transactions can be found here and here. Decred data doesn’t include tickets and voting transactions. Monero transaction volume is impossible to calculate due to RingCT which hides transaction amounts.

  6. d

    Alternative Data | Cryptocurrency Markets: Bitcoin, Ethereum & 800+ Digital...

    • datarade.ai
    .json, .csv
    Updated Feb 6, 2025
    + more versions
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    CoinAPI (2025). Alternative Data | Cryptocurrency Markets: Bitcoin, Ethereum & 800+ Digital Assets on CEX & DEX [Dataset]. https://datarade.ai/data-products/alternative-data-cryptocurrency-markets-bitcoin-ethereum-coinapi
    Explore at:
    .json, .csvAvailable download formats
    Dataset updated
    Feb 6, 2025
    Dataset provided by
    Coinapi Ltd
    Authors
    CoinAPI
    Area covered
    Venezuela (Bolivarian Republic of), Tajikistan, Togo, Saint Lucia, Korea (Democratic People's Republic of), Kiribati, Grenada, Puerto Rico, Saint Helena, Bahamas
    Description

    CoinAPI provides institutional-grade cryptocurrency market data, delivering real-time and historical information from 350+ global exchanges through a unified API infrastructure. Our comprehensive coverage includes Bitcoin price data, Ethereum metrics, and detailed market information for over 800 digital assets across both centralized (CEX) and decentralized exchanges (DEX).

    Our system captures market movements down to the microsecond, so you never miss important price action. We standardize all this data to make it easy to use, no matter which exchanges you're watching. For clients seeking deeper insights, we also provide alternative data that reveals market dynamics beyond traditional price and volume metrics.

    Why work with us?

    Market Coverage & Data Types: - Real-time and historical data since 2010 (for chosen assets) - Full order book depth (L2/L3) - Trade-by-trade 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: - 99,9% uptime guarantee - Multiple delivery methods: REST, WebSocket, FIX, S3 - Standardized data format across exchanges - Ultra-low latency data streaming - Detailed documentation - Custom integration assistance

    Banks, trading companies, and market researchers rely on our Bitcoin, Ethereum, and altcoin feeds for their trading strategies and market analysis. Whether you need detailed market depth information, historical price data, or real-time trading signals, we provide the solid foundation you need to participate confidently in the crypto markets.

  7. LTC-ETH Stock Market @Kraken

    • kaggle.com
    Updated Mar 8, 2022
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    olmatz (2022). LTC-ETH Stock Market @Kraken [Dataset]. https://www.kaggle.com/datasets/olmatz/ltceth-stock-market-kraken
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 8, 2022
    Dataset provided by
    Kaggle
    Authors
    olmatz
    License

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

    Description

    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 LTC-ETH 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!

  8. Data from: Detecting and Quantifying Wash Trading on Decentralized...

    • zenodo.org
    • data.niaid.nih.gov
    csv, json
    Updated Feb 23, 2021
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    Friedhelm Victor; Friedhelm Victor; Andrea Marie Weintraud; Andrea Marie Weintraud (2021). Detecting and Quantifying Wash Trading on Decentralized Cryptocurrency Exchanges [Dataset]. http://doi.org/10.5281/zenodo.4540223
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 23, 2021
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Friedhelm Victor; Friedhelm Victor; Andrea Marie Weintraud; Andrea Marie Weintraud
    License

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

    Description

    Dataset retrieved with an Ethereum client, and used by the code hosted here for this paper published in the Proceedings of the Web Conference 2021 (WWW ’21)

    Abstract:

    Cryptoassets such as cryptocurrencies and tokens are increasingly traded on decentralized exchanges. The advantage for users is that the funds are not in custody of a centralized external entity. However, these exchanges are prone to manipulative behavior. In this paper, we illustrate how wash trading activity can be identified on two of the first popular limit order book-based decentralized exchanges on the Ethereum blockchain, IDEX and EtherDelta. We identify a lower bound of accounts and trading structures that meet the legal definitions of wash trading, discovering that they are responsible for a wash trading volume in equivalent of 159 million U.S. Dollars. While self-trades and two-account structures are predominant, complex forms also occur. We quantify these activities, finding that on both exchanges, more than 30% of all traded tokens have been subject to wash trading activity. On EtherDelta, 10% of the tokens have almost exclusively been wash traded. All data is made available for future research. Our findings underpin the need for countermeasures that are applicable in decentralized systems.

  9. E

    Ethereum Report

    • marketresearchforecast.com
    doc, pdf, ppt
    Updated Mar 7, 2025
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    Market Research Forecast (2025). Ethereum Report [Dataset]. https://www.marketresearchforecast.com/reports/ethereum-29280
    Explore at:
    ppt, doc, pdfAvailable download formats
    Dataset updated
    Mar 7, 2025
    Dataset authored and provided by
    Market Research Forecast
    License

    https://www.marketresearchforecast.com/privacy-policyhttps://www.marketresearchforecast.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The Ethereum market, encompassing exchange, purchase, mining, and transaction/investment applications, is experiencing robust growth. While precise market sizing data was not provided, industry analysis suggests a substantial market value, potentially exceeding $100 billion in 2025, considering the significant adoption of Ethereum in DeFi, NFTs, and enterprise blockchain solutions. A Compound Annual Growth Rate (CAGR) of at least 20% is plausible through 2033, driven by several key factors. Increased institutional investment, the burgeoning metaverse and NFT markets, and the expanding utility of Ethereum in decentralized applications (dApps) fuel this expansion. The growing demand for scalability solutions, such as layer-2 scaling technologies and sharding, is also a significant driver. However, regulatory uncertainty, competition from emerging blockchain platforms, and the environmental concerns related to energy consumption in mining pose potential restraints to growth. Segment analysis reveals that the transaction and investment applications currently dominate the market share, although the relative proportions of exchange, purchase and mining are expected to evolve with technological advancements and changing regulatory landscapes. Geographically, North America and Asia-Pacific, particularly the United States and China, are expected to lead the market due to high levels of technological adoption and venture capital investment. However, emerging economies in other regions are likely to show strong growth as blockchain technology adoption expands. The competitive landscape is characterized by a mix of established players and emerging entrants. Major exchanges like Binance, Coinbase, and Huobi play a significant role in trading volume, while companies like MoonPay focus on simplifying cryptocurrency purchasing. Saxo Bank and eToro represent the traditional finance sector's foray into crypto, signaling broader mainstream adoption. The market is witnessing increased consolidation and partnerships, reflecting a trend toward collaboration and enhanced user experiences. Future growth will hinge upon successful navigation of regulatory challenges, continued technological innovation, and the maturation of the overall crypto ecosystem. The increasing focus on sustainable mining practices and the development of more efficient consensus mechanisms will also influence the long-term trajectory of the Ethereum market.

  10. d

    Cryptocurrency Market Data | Real-time & Historical Data | +350 Exchanges |...

    • datarade.ai
    .json, .csv
    + more versions
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    CoinAPI, Cryptocurrency Market Data | Real-time & Historical Data | +350 Exchanges | BTC ETH Cryptocurrency | Crypto Quotes Trades OHLCV & Order Books [Dataset]. https://datarade.ai/data-products/coinapi-cryptocurrency-market-data-real-time-historical-coinapi
    Explore at:
    .json, .csvAvailable download formats
    Dataset provided by
    Coinapi Ltd
    Authors
    CoinAPI
    Area covered
    Gibraltar, Marshall Islands, Cameroon, Bahrain, Myanmar, Mongolia, Guinea, United Republic of, Guam, Vanuatu
    Description

    CoinAPI delivers comprehensive cryptocurrency market data that serious traders and institutions rely on. We collect information from more than 350 exchanges worldwide and make it available through one unified API system.

    Our service gives you complete access to real-time and historical data for Bitcoin, Ethereum, and 800+ other digital assets. Whether you need crypto quotes, individual trades, OHLCV candles, or detailed order books, we provide it all with microsecond precision.

    We cover the entire cryptocurrency ecosystem by including both centralized and decentralized exchanges in our data collection. This gives you the complete market picture without having to cobble together information from multiple sources.

    Why work with us?

    Market Coverage & Data Types: - Real-time and historical data since 2010 (for chosen assets) - Full order book depth (L2/L3) - Trade-by-trade 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: - 99,9% uptime guarantee - Multiple delivery methods: REST, WebSocket, FIX, S3 - Standardized data format across exchanges - Ultra-low latency data streaming - Detailed documentation - Custom integration assistance - Cryptocurrency investor data

    Join the hundreds of trading desks, investment funds, research teams, and tech innovators who rely on CoinAPI for their cryptocurrency intelligence. We've earned our place in the market by delivering what matters - clean data when you need it, where you need it. Don't settle for incomplete information when making critical decisions. When the stakes are high and accuracy counts, the professionals choose us.

  11. d

    Crypto Index Data | Volatility Index | CAPIVIX for BTC/USD & ETH/USD |...

    • datarade.ai
    .json, .csv
    Updated Dec 22, 2024
    + more versions
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    CoinAPI (2024). Crypto Index Data | Volatility Index | CAPIVIX for BTC/USD & ETH/USD | Bitcoin & Ethereum VIX Data [Dataset]. https://datarade.ai/data-products/coinapi-crypto-index-data-capivix-volatility-for-btc-usd-a-coinapi
    Explore at:
    .json, .csvAvailable download formats
    Dataset updated
    Dec 22, 2024
    Dataset authored and provided by
    CoinAPI
    Area covered
    Costa Rica, Mauritania, Spain, French Southern Territories, Estonia, Turks and Caicos Islands, Macao, British Indian Ocean Territory, Yemen, Kiribati
    Description

    The CAPIVIX Index gives crypto traders something traditional markets have long relied on - a clear measure of expected market volatility. Think of it as the VIX for Bitcoin and Ethereum, showing what the market anticipates for price swings over the next 30 days.

    This crypto volatility index tracks market sentiment for BTC/USD and ETH/USD pairs by analyzing options data from major derivatives exchanges. When CAPIVIX rises, it signals increased uncertainty and potential turbulence ahead. When it falls, markets are expecting calmer conditions.

    What makes CAPIVIX valuable is its methodology - we've adapted the widely-trusted VIX calculation approach to work specifically with cryptocurrency options. This gives you a standardized way to gauge market anxiety or confidence across different market conditions.

    The index updates continuously throughout trading hours, incorporating real-time options pricing to reflect the market's evolving risk perception. For traders and investors looking to understand market sentiment beyond price movements alone, CAPIVIX provides that crucial additional dimension of market intelligence.

    ➡️ Why choose us?

    📊 Market Coverage & Data Types: ◦ Real-time and historical data since 2010 (for chosen assets) ◦ Full order book depth (L2/L3) ◦ Trade-by-trade 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 ◦ Bitcoin Price Data

    🔧 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

    Whether you're hedging positions, timing entries and exits, or just wanting to better understand market psychology, our Bitcoin and Ethereum volatility data offers valuable insights into what the market collectively expects in the weeks ahead.

  12. d

    Replication Data for: \"Coexisting Exchange Platforms: Limit Order Books and...

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Sep 24, 2024
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    Aoyagi, Jun; Ito, Yuki (2024). Replication Data for: \"Coexisting Exchange Platforms: Limit Order Books and Automated Market Makers\" [Dataset]. http://doi.org/10.7910/DVN/RM32DW
    Explore at:
    Dataset updated
    Sep 24, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Aoyagi, Jun; Ito, Yuki
    Description

    This is the replication package for "Coexisting Exchange Platforms: Limit Order Books and Automated Market Makers," accepted in 2024 by the Journal of Political Economy Microeconomics. This repository contains the dataset and Python notebook to replicate Figures 1, 5, and 6 from the main article, showing monthly trading volumes of Ethereum-based DEXs through September 2022 and comparative statics of the equilibrium.

  13. Biggest Solana (SOL) exchanges based on 24h volume on March 21, 2025

    • statista.com
    Updated Mar 21, 2025
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    Biggest Solana (SOL) exchanges based on 24h volume on March 21, 2025 [Dataset]. https://www.statista.com/statistics/1280141/biggest-ethereum-spot-markets/
    Explore at:
    Dataset updated
    Mar 21, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 21, 2025
    Area covered
    Worldwide
    Description

    Two Solana trades in March 2025 together made up roughly one fourth of the entire market for this specific currency. Trades involving Solana and Tether were popular on Binance, whereas the Solana/Korean Wong pair occurred frequently on Upbit. Among the biggest cryptocurrency exchanges in the world, Solana was traded relatively frequently on Binance — having multiple entries in this list, with the SOL/BUSD and SOL/BTC pairs — whereas no trades were observed for a platform like Mandala Exchange.

  14. o

    Desights: The Future of Crypto: Google Trends Decomposition Analysis &...

    • market.oceanprotocol.com
    Updated Apr 30, 2024
    + more versions
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    Desights User (2024). Desights: The Future of Crypto: Google Trends Decomposition Analysis & Forecasting Models [Dataset]. https://market.oceanprotocol.com/asset/did:op:0d15341dad61a616e99bf27bd4996d0fb41a1697dcafe87d80f6cb508f767af5
    Explore at:
    Dataset updated
    Apr 30, 2024
    Dataset authored and provided by
    Desights User
    Description

    This is a submission for Challenge #24 by Desights User

    Click here for Challenge Details Note: This submission is in REVIEW state and is only accessible by Challenge Reviewers. So you might get errors when you try to download this asset directly from Ocean Market.

    Submission Description

    The cryptocurrency is not just a new form of value store and exchange, it is a revolution of its own. Beginning with its use to provide peer-to-peer payment network (or digital money) like Bitcoin, today’s cryptocurrency, or crypto for short, have evolved way beyond its humble start. Underlying the crypto world, there lies amazing technology called Blockchain. In simple term, blockchain is a decentralized and shared digital ledger that records transactions transparently and immutably across nodes in the network. Today’s Crypto community has slowly turned into industry of its own introducing a whole spectrum of enigmatic pattern, trends, and economic framework. In this report we will explore the trend, correlations, and dynamics related to 20 selected Crypto projects to derived insights and build models that predict the future of crypto. Key Findings: Our exploratory data analysis (EDA) underlines the span and general pattern of the Google Trend and Price related data. The data being analyzed span from the earliest entry on 2014-09-17 up to the latest on 2024-04-07. Time series decomposition was performed to extract trend, seasonal cycle, and residuals that made up the Google Interest Trend data. Analysis on the time-series decomposition help us distinguish cluster (a) with projects on the rise such as Solana, SingularityNet, Fetch.ai, and Ocean Protocol; and cluster (b) containing old project such as Dogecoin, Litecoin Filecoin, Tezos that are facing stagnant/downfall trend. Based on the Google Trends’s Correlation across projects we characterize Highly correlated projects cluster with correlation of about >0.8, and up to 0.92 with Bitcoin-Ethereum-Chainlink-Litecoin-Monero as the prominent group members. By introducing additional Google Trend data to understand Crypto Narrative, we worked toward building interpretable Event/Entity driving the market sentiment to explain our decomposed Time-series data. Based on Lag Characteristics in Correlation of Google Trend and Price/Trade Volume we highlight the tendency for the correlation to accumulate at longer lag time. Using NeuralProphet Framework we build forecasting models for Google Trend and Token Price for all 20 projects investigated here. We deployed these models to predict Trend and Price for all 20 projects for the following 52 weeks (up until April 2025). The developed models performed extraordinarily well with the R^2 value for most fall between the range of 0.75-0.88, while the highest goes up to 0.919. We highlight the correlation between Bitcoin, Ethereum, Ocean, with the rest of other projects. Ocean and Bitcoin, also Ethereum and Solana are the most correlated, both with correlation value of 0.89. The Kucoin’s KCS token is the least correlated with both Ocean and Bitcoin (0.31), while with Ethereum, Filecoin have the least correlation (0.41).

    Conclusion This investigative study presents a thorough data analysis and exploration of correlations, time-lag characteristics, and time-series decomposition concerning Google Trends and token prices for 20 selected crypto/blockchain projects. By decomposing the time-series data, we have identified several clusters of crypto projects that is moving up in popularity such as Fetch.ai, SingularityNet, Solana, Ocean and some others that are stuck or in downfall trend, such as Dogecoin and Litecoin. Our analysis also includes a detailed exploration of various factors that contribute to understanding the data better, such as the incorporation of event-driven trends that explain outlier spikes in the residual data from our decomposed time-series.

    In addition to our in-depth analysis, we build strong mini-library of forecasting models for predicting the Google Trend as well as price for the upcoming year with R^2 score that goes as high as 0.88 for most cases. Moreover, in order to demonstrate the utility of our exploratory data analysis tools and pipeline in full we also include all the results and analysis output produced in this work.

    Looking ahead, we plan to expand our developed forecasting models and the presented data into a "CryptoForecast MiniApp." This application, based on the Streamlit package, will be hosted on a decentralized cloud (Akash) and connected to the Ocean marketplace and Predictoor, enhancing accessibility and utility for users interested in real-time data for Google Trends and Crypto Token Price forecasts.

  15. Cryptocurrency Market Analysis North America, Europe, APAC, South America,...

    • technavio.com
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    Technavio, Cryptocurrency Market Analysis North America, Europe, APAC, South America, Middle East and Africa - US, UK, Germany, Switzerland, Brazil, China, Canada, Japan, Italy, The Netherlands - Size and Forecast 2025-2029 [Dataset]. https://www.technavio.com/report/cryptocurrency-market-industry-analysis
    Explore at:
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Global
    Description

    Snapshot img

    Cryptocurrency Market Size 2025-2029

    The cryptocurrency market size is forecast to increase by USD 39.75 billion at a CAGR of 16.7% between 2024 and 2029.

    The market continues to evolve at an unprecedented pace, driven by increasing investment in digital assets and growing acceptance by retailers as a legitimate form of currency. According to recent reports, global investment in cryptocurrencies reached an all-time high in 2020, with institutional investors leading the charge. This trend is expected to continue, as more financial institutions explore the benefits of cryptocurrencies for portfolio diversification and transaction settlement. However, the market's volatility remains a significant challenge for both investors and businesses. The value of cryptocurrencies can fluctuate dramatically in a short period, making it difficult to predict future trends and assess risk. Despite this, many companies are finding ways to capitalize on the opportunities presented by the market. For instance, some retailers have begun accepting Bitcoin and other cryptocurrencies as payment, while others are exploring blockchain technology to streamline transactions and enhance security. To navigate this complex and dynamic market, companies must stay informed about the latest trends and developments. This includes keeping abreast of regulatory changes, technological advancements, and market sentiment. By doing so, they can position themselves to take advantage of emerging opportunities and mitigate potential risks. Overall, the market offers significant potential for growth and innovation, but also presents unique challenges that require careful planning and strategic foresight.

    What will be the Size of the Cryptocurrency Market during the forecast period?

    Request Free SampleThe market, driven by the underlying technology of blockchain, represents a decentralized currency system that has gained significant global adoption as a digital alternative to traditional fiat currencies. With a total market capitalization surpassing USD2 trillion, this dynamic market is characterized by price volatility, presenting both opportunities and risks for investors. Theft and security concerns, regulatory outlook, and energy consumption with environmental effects are among the challenges faced by this industry. Skilled developers and financial services institutions are increasingly embracing this digital revolution, leveraging blockchain technology to create innovative consumer protection solutions and ensure financial stability. Meanwhile, the rise of decentralized systems and public ledgers has given way to the proliferation of digital assets, leading to an influx of fraudulent investments. Renewable energy sources and blockchain talent are becoming essential components of the cryptocurrency ecosystem as the industry strives to address concerns related to energy consumption and environmental effects.

    How is this Cryptocurrency Industry segmented?

    The cryptocurrency industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. TypeBitcoinEthereumOthersRippleBitcoin CashCardanoComponentHardwareSoftwareProcessMiningTransactionMiningTransactionEnd-UseTradingE-commerce and RetailPeer-to-Peer PaymentRemittanceTradingE-commerce and RetailPeer-to-Peer PaymentRemittanceGeographyNorth AmericaUSCanadaEuropeGermanyItalySwitzerlandThe NetherlandsUKAPACChinaJapanSouth AmericaBrazilMiddle East and Africa

    By Type Insights

    The bitcoin segment is estimated to witness significant growth during the forecast period.Bitcoin, the largest cryptocurrency by market capitalization, is a decentralized digital currency valued at over USD470 billion. It operates on a peer-to-peer (P2P) system without central authorities. The top four stablecoins, Tether, USD Coin, Binance USD, and DAI, are directly pegged to the US dollar and collectively hold a significant market share. In the US, approximately 8% of the population engages in cryptocurrency trading. Bitcoin, as a digital asset, is created, stored, processed, and transferred using blockchain technology – a decentralized system. Other cryptocurrencies like Ethereum, Ripple, and Litecoin also follow this model. The market is evolving, with financial services increasingly adopting digital assets for transactions, investments, and consumer protection. Blockchain technology powers digital wallets, crypto exchanges, and smart contracts, enabling decentralized finance, token offerings, and decentralized applications. The market is subject to price volatility and theft risk, necessitating wallet security and regulatory compliance. Energy consumption and environmental effects are areas of concern, with renewable energy solutions emerging. Skilled developers are in high demand for cre

  16. Ether Price and Volume Dataset

    • kaggle.com
    Updated Mar 23, 2020
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    XBlock (2020). Ether Price and Volume Dataset [Dataset]. https://www.kaggle.com/xblock/ether-price-and-volume-dataset/notebooks
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 23, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    XBlock
    Description

    This is the market data of Ether in terms of price and volume from August 2015 (when Ether first appeared) to March 2019. The time interval of sampling is selected as four-hour, that is to say, we choose every kind of price and volume every of four-hour as the original data.

    The original market data of Ether are obtained from Poloniex, one of the most active crypto-asset exchanges.

    For more details about the blockchain dataset, please click here.

  17. Bitcoin (BTC) daily network transaction history worldwide as of March 3,...

    • statista.com
    Updated Mar 4, 2025
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    Statista (2025). Bitcoin (BTC) daily network transaction history worldwide as of March 3, 2025 [Dataset]. https://www.statista.com/statistics/730806/daily-number-of-bitcoin-transactions/
    Explore at:
    Dataset updated
    Mar 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Bitcoin's transaction volume was at its highest in December 2023, when the network processed over 724,000 coins on the same day. Bitcoin generally has a higher transaction activity than other cryptocurrencies, except Ethereum. This cryptocurrency is often processed more than one million times per day. Note that the transaction volume here refers to transactions registered within the Bitcoin blockchain. It should not be confused with Bitcoin's 24-hour trade volume, a metric associated with crypto exchanges. The more Bitcoin transactions, the more it is used in B2C payments? A Bitcoin transaction recorded in the blockchain can be any transaction, including B2C but also P2P. While it is possible to see in the blockchain which address sent Bitcoin to whom, details on who this person is and where they are from are often missing. Bitcoin was designed to go against monetary authorities and prides itself on being anonymous. An important argument against Bitcoin replacing cash or cards in payments is that the cryptocurrency was not allowed for such a task: Bitcoin ranks among the slowest cryptocurrencies in terms of transaction speed. Are cryptocurrencies taking over payments? Cryptocurrency payments are set to grow at a CAGR of nearly 17 percent between 2022 and 2029, although the market is relatively small. The forecast is according to a market estimate made in early 2023, based on various conditions and sources available at that time. Research across 40 countries during the same time suggested that the market share of cryptocurrency in e-commerce transactions was "less than one percent" in all surveyed countries, with predictions being this would not change in the future.

  18. Cryptocurrency extra data - Ethereum

    • kaggle.com
    Updated Jan 19, 2022
    + more versions
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    Yam Peleg (2022). Cryptocurrency extra data - Ethereum [Dataset]. http://doi.org/10.34740/kaggle/dsv/3066125
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 19, 2022
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Yam Peleg
    Description

    Context:

    This dataset is an extra updating dataset for the G-Research Crypto Forecasting competition.

    Introduction

    This is a daily updated dataset, automaticlly collecting market data for G-Research crypto forecasting competition. The data is of the 1-minute resolution, collected for all competition assets and both retrieval and uploading are fully automated. see discussion topic.

    The Data

    For every asset in the competition, the following fields from Binance's official API endpoint for historical candlestick data are collected, saved, and processed.

    
    1. **timestamp** - A timestamp for the minute covered by the row.
    2. **Asset_ID** - An ID code for the cryptoasset.
    3. **Count** - The number of trades that took place this minute.
    4. **Open** - The USD price at the beginning of the minute.
    5. **High** - The highest USD price during the minute.
    6. **Low** - The lowest USD price during the minute.
    7. **Close** - The USD price at the end of the minute.
    8. **Volume** - The number of cryptoasset u units traded during the minute.
    9. **VWAP** - The volume-weighted average price for the minute.
    10. **Target** - 15 minute residualized returns. See the 'Prediction and Evaluation section of this notebook for details of how the target is calculated.
    11. **Weight** - Weight, defined by the competition hosts [here](https://www.kaggle.com/cstein06/tutorial-to-the-g-research-crypto-competition)
    12. **Asset_Name** - Human readable Asset name.
    

    Indexing

    The dataframe is indexed by timestamp and sorted from oldest to newest. The first row starts at the first timestamp available on the exchange, which is July 2017 for the longest-running pairs.

    Usage Example

    The following is a collection of simple starter notebooks for Kaggle's Crypto Comp showing PurgedTimeSeries in use with the collected dataset. Purged TimesSeries is explained here. There are many configuration variables below to allow you to experiment. Use either GPU or TPU. You can control which years are loaded, which neural networks are used, and whether to use feature engineering. You can experiment with different data preprocessing, model architecture, loss, optimizers, and learning rate schedules. The extra datasets contain the full history of the assets in the same format as the competition, so you can input that into your model too.

    Baseline Example Notebooks:

    These notebooks follow the ideas presented in my "Initial Thoughts" here. Some code sections have been reused from Chris' great (great) notebook series on SIIM ISIC melanoma detection competition here

    Loose-ends:

    This is a work in progress and will be updated constantly throughout the competition. At the moment, there are some known issues that still needed to be addressed:

    • VWAP: - At the moment VWAP calculation formula is still unclear. Currently the dataset uses an approximation calculated from the Open, High, Low, Close, Volume candlesticks. [Waiting for competition hosts input]
    • Target Labeling: There exist some mismatches to the original target provided by the hosts at some time intervals. On all the others - it is the same. The labeling code can be seen here. [Waiting for competition hosts] input]
    • Filtering: No filtration of 0 volume data is taken place.

    Example Visualisations

    Opening price with an added indicator (MA50): https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2234678%2Fb8664e6f26dc84e9a40d5a3d915c9640%2Fdownload.png?generation=1582053879538546&alt=media" alt="">

    Volume and number of trades: https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2234678%2Fcd04ed586b08c1576a7b67d163ad9889%2Fdownload-1.png?generation=1582053899082078&alt=media" alt="">

    License

    This data is being collected automatically from the crypto exchange Binance.

  19. Biggest NFT marketplaces on January 21, 2025, based on 30d sales volume

    • statista.com
    • flwrdeptvarieties.store
    Updated Jan 21, 2025
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    Statista (2025). Biggest NFT marketplaces on January 21, 2025, based on 30d sales volume [Dataset]. https://www.statista.com/statistics/1274843/nft-marketplaces-with-highest-volume/
    Explore at:
    Dataset updated
    Jan 21, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 21, 2025
    Area covered
    Worldwide
    Description

    NFT marketplace OpenSea had a trading volume in March 2024 that was lower than competitor Blur, a relatively new entry in NFT trading. This according to a ranking that compares different platforms where people can buy NFTs. These so-called "marketplaces" function rather differently from each other, though. Axie Infinity, NBA Top Shot, and Decentraland, for instance, are example of popular NFT games that either rely on collectibles or on metaverses. OpenSea and Sushiswap, on the other hand, function more like decentralized exchanges, where people can go and buy either NFT or crypto. Finally, CryptoPunks and Solanart are platform that specialize in crypto art - NFTs with unique pictures or artwork. Art was one of the most popular categories for NFTs.

  20. Monthly transaction history of crypto with the highest market cap up to...

    • statista.com
    Updated Jan 31, 2025
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    Statista (2025). Monthly transaction history of crypto with the highest market cap up to December 2024 [Dataset]. https://www.statista.com/statistics/730838/number-of-daily-cryptocurrency-transactions-by-type/
    Explore at:
    Dataset updated
    Jan 31, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2009 - May 2024
    Area covered
    Worldwide
    Description

    At the end of December 2024, the Ethereum cryptocurrency had been processed well to 39 million times on-chain that month. This was about three times that of the more commonly known rival Bitcoin, which saw a total of 12.7 million transactions that month. Other leading cryptocurrencies also saw significantly less transaction activity. What kind of transactions were these? Cryptocurrencies are digital currencies which owe their credibility to their technology rather than a central bank. Many of the transactions in this statistic involve cryptocurrency exchanges which exchange these coins for other currencies, including traditional currencies such as U.S. dollars or euros. In selected countries, Bitcoin ATMs also dispense the local currency in exchange for Bitcoin. However, few retailers accept that or any other cryptocurrency on a large scale. Cryptocurrency as an investment Many cryptocurrency enthusiasts point to the high market capitalization of their favorite cryptocurrencies. Moreover, the currency price is an important factor. The price volatility of Bitcoin and others attracts investors, hoping to buy low and sell high.

Share
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Click to copy link
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Statista (2025). Biggest Ethereum (ETH) exchanges based on 24h volume on March 21, 2025 [Dataset]. https://www.statista.com/statistics/1278068/biggest-ethereum-spot-markets/
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Biggest Ethereum (ETH) exchanges based on 24h volume on March 21, 2025

Explore at:
Dataset updated
Mar 21, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Mar 21, 2025
Area covered
Worldwide
Description

The most popular Ethereum trade in June 2024 involved the pair Ethereum/Tether pair on Binance, making up nearly four percent of total 24h trade volume. Trades involving Ethereum and Tether were also frequent on other exchanges, such as FMFW.io, HitBTC, and Coinsbit. Among the biggest cryptocurrency exchanges in the world, Ethereum was traded relatively frequently on Binance — having multiple entries in this list, with the ETH/BUSD and ETH/BTC pairs — whereas no trades were observed for a platform like Mandala Exchange.

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