100+ datasets found
  1. Cryptocurrency Price Analysis Dataset

    • kaggle.com
    zip
    Updated Jun 15, 2023
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    Aditya Mhaske (2023). Cryptocurrency Price Analysis Dataset [Dataset]. https://www.kaggle.com/datasets/adityamhaske/cryptocurrency-price-analysis-dataset
    Explore at:
    zip(188505 bytes)Available download formats
    Dataset updated
    Jun 15, 2023
    Authors
    Aditya Mhaske
    License

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

    Description

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

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

    Columns:

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

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

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

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

  2. Popular goods and services to buy with crypto 2022, by gender and income...

    • statista.com
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    Statista, Popular goods and services to buy with crypto 2022, by gender and income group [Dataset]. https://www.statista.com/statistics/1360035/crypto-goods-and-services-by-gender-and-income/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2022 - Jun 2022
    Area covered
    Worldwide
    Description

    The most popular product to buy with cryptocurrencies in 2022 was not fashion or hardware, but mobile data. Among those surveyed by CryptoRefills, a company which sells vouchers and gift cards in exchange for cryptocurrencies, mobile network top-ups - adding credit to a pre-paid phone - and purchasing in-game credits or were especially popular. Noticeable is that is that most popular items mostly correlates with the preferences of low-income consumers: This income group preferred mobile top-ups and data (55.9 percent), mobile apps (37.3 percent), digital entertainment (35.6 percent), and with game credits (35.6 percent). Another survey also listed consumer interest in digital media as a place for crypto payments. Women, on the other hands, tended to buy products related to fashion, pharmacy, and beauty, along with hotel bookings, as well as food. The source does add, however, that women only made up 10 percent of those surveyed.

  3. Top 100 Cryptocurrency (2020-2025)

    • kaggle.com
    Updated Aug 5, 2025
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    Mohamadreza Momeni (2025). Top 100 Cryptocurrency (2020-2025) [Dataset]. https://www.kaggle.com/datasets/imtkaggleteam/top-100-cryptocurrency-2020-2025
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 5, 2025
    Dataset provided by
    Kaggle
    Authors
    Mohamadreza Momeni
    License

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

    Description

    Description:

    📊 Top 100 Cryptocurrencies (2020–2025) – Daily Price Dataset

    Dive into a comprehensive dataset featuring daily OHLC (Open, High, Low, Close) prices for the top 100 cryptocurrencies by market cap over the past 5 years.

    📅 Time Range: 2020 to 2025

    🪙 Assets: 100 cryptocurrencies (e.g., BTCUSDT, ETHUSDT)

    📈 Fields: Date, Open, High, Low, Close, Blockchain Network

    🧾 Format: CSV

    This dataset is designed to support various projects, including:

    📉 Time series forecasting and price prediction

    🧠 AI/ML-based trading strategy development

    📰 News sentiment correlation and impact analysis

    📊 Portfolio optimization based on historical trends

    💡 Perfect for data scientists, machine learning enthusiasts, and anyone exploring crypto market behavior!

  4. Daily crypto asset flow of the Bitcoin ETFs listed at NYSE and NASDAQ...

    • statista.com
    Updated Apr 17, 2024
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    Statista (2024). Daily crypto asset flow of the Bitcoin ETFs listed at NYSE and NASDAQ 2024-2025 [Dataset]. https://www.statista.com/statistics/1462194/bitcoin-etf-flows-per-day/
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    Dataset updated
    Apr 17, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 11, 2024 - Dec 1, 2025
    Area covered
    Worldwide, United States
    Description

    BlackRock's Bitcoin ETF received around 15 billion dollars' worth of investment inflow since January 2024, whereas Grayscale lost 16 billion. This is according to a day-to-day investment flow timeline involving 10 of the 11 Bitcoin ETFs that got approved by the U.S. Securities and Exchange Commission in early 2024. The highest inflow towards these ETFs occurred in March, coinciding with the Bitcoin price's all-time high and a general increase in Bitcoin trading volume. Note that the figures here do not cover all Bitcoin ETFs found throughout the world. That said, the United States investment vehicles tend to be the largest and most impactful ones. In June 2025, Hong Kong’s Securities and Futures Commission (SFC) approved three ETFs, but their potential impact is not yet clear - if only because mainland China does not allow for crypto trading after the country banned crypto mining in 2021.

  5. c

    Simple Crypto Trader Price Prediction Data

    • coinbase.com
    Updated Nov 12, 2025
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    (2025). Simple Crypto Trader Price Prediction Data [Dataset]. https://www.coinbase.com/price-prediction/base-simple-crypto-trader-dea8
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    Dataset updated
    Nov 12, 2025
    Variables measured
    Growth Rate, Predicted Price
    Measurement technique
    User-defined projections based on compound growth. This is not a formal financial forecast.
    Description

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

  6. M

    The Best Way to Get Cryptocurrency

    • media.market.us
    Updated Dec 19, 2024
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    Market.us Media (2024). The Best Way to Get Cryptocurrency [Dataset]. https://media.market.us/the-best-way-to-get-cryptocurrency/
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    Dataset updated
    Dec 19, 2024
    Dataset authored and provided by
    Market.us Media
    License

    https://media.market.us/privacy-policyhttps://media.market.us/privacy-policy

    Time period covered
    2022 - 2032
    Description

    Cryptocurrency has become a popular investment and financial tool, drawing the attention of millions worldwide. Whether you’re new to the crypto space or a seasoned investor, understanding the best ways to acquire cryptocurrency is essential. Below are some of the most effective and secure methods to obtain cryptocurrency.

    1. Buying Cryptocurrency on Exchanges

    Best way to get Cryptocurrency is purchasing cryptocurrency through exchanges like Binance, Coinbase, or Kraken. These platforms allow users to exchange fiat currencies like USD or EUR for cryptocurrencies such as Bitcoin, Ethereum, or smaller altcoins.

    • Steps to Buy on Exchanges:
      1. Create an account on a reputable exchange.
      2. Complete identity verification (KYC).
      3. Link your payment method (bank account, credit card, etc.).
      4. Choose the cryptocurrency and complete the purchase.

    Exchanges provide a user-friendly interface, making it easy for beginners to enter the market.

    2. Mining

    Mining involves validating transactions on a blockchain network and earning cryptocurrency as a reward. It requires significant computational power, specialized hardware, and access to cheap electricity.

    • Best for: Cryptocurrencies like Bitcoin, Ethereum (before its shift to Proof-of-Stake), and Monero.
    • Challenges: High energy costs and competition make mining less profitable for individuals compared to large-scale operations.

    3. Earning Cryptocurrency Through Work

    Many platforms and businesses now offer payment in cryptocurrency for goods or services. Freelancers, developers, designers, and content creators can accept cryptocurrency payments directly from clients.

    • Examples:
      • Freelance platforms like CryptoTask or LaborX.
      • Blockchain projects hiring for technical or non-technical roles.

    This is an excellent way to get cryptocurrency without investing your own money upfront.

    https://media.market.us/wp-content/uploads/2024/11/best-way-to-get-cryptocurrency.png" alt="" class="wp-image-27011">

    4. Staking and Yield Farming

    Staking involves locking up cryptocurrency in a wallet to support the operations of a blockchain network, earning rewards in return. Yield farming, on the other hand, involves lending or providing liquidity to decentralized finance (DeFi) platforms.

    • Benefits:
      • Earn passive income.
      • Strengthen the network you’re supporting.

    • Risks: Volatility in token value and potential smart contract vulnerabilities.

    5. Participating in Airdrops and Giveaways

    Airdrops are promotional events where blockchain projects distribute free tokens to users. To qualify, participants may need to hold a specific cryptocurrency, join a platform, or perform certain tasks like sharing content on social media.

    • Caution: Beware of scams and never provide private keys or sensitive information to claim airdrops.

    6. Peer-to-Peer (P2P) Trading

    P2P trading platforms like Paxful or LocalBitcoins enable users to buy and sell cryptocurrency directly with others, often without the fees and restrictions of centralized exchanges.

    • Advantages:
      • Greater privacy.
      • Local payment methods.

    • Drawbacks: Potential for scams if the platform lacks proper escrow systems.

    7. Accepting Cryptocurrency for Payments

    Businesses can integrate cryptocurrency payment options to accept Bitcoin, Ethereum, or other coins for goods and services. Payment processors like BitPay and CoinGate make it easier to integrate crypto into your business model.

    • Who Benefits: Merchants, online stores, and service providers looking to diversify payment options and attract tech-savvy customers.

    8. Investing in Cryptocurrency-Linked Assets

    If you’re hesitant to directly buy cryptocurrency, you can invest in crypto-related assets like exchange-traded funds (ETFs), stocks of blockchain companies, or futures contracts.

    • Examples:
      • Bitcoin ETFs.
      • Shares of companies like Coinbase or MicroStrategy.

    Conclusion

    The best way to get cryptocurrency depends on your goals, resources, and level of risk tolerance. For beginners, buying through reputable exchanges offers simplicity and security. For those seeking passive income, staking or yield farming might be appealing. Meanwhile, tech-savvy individuals may explore mining or freelancing in the crypto space. Whichever path you choose, ensure you prioritize security and stay informed

  7. Bitcoin ATMs in 73 countries and territories worldwide as of July 22, 2025

    • statista.com
    Updated Apr 14, 2025
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    Raynor de Best (2025). Bitcoin ATMs in 73 countries and territories worldwide as of July 22, 2025 [Dataset]. https://www.statista.com/topics/8519/cryptocurrency-in-australia/
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    Dataset updated
    Apr 14, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Raynor de Best
    Description

    The highest number of Bitcoin ATMs was recorded in the United States in 2025, with significant more machines found here than elsewhere in the world. Canada, Australia, and Spain followed. There are two main types of Bitcoin ATMs: the basic ones, allowing the users only to purchase Bitcoins, and more complex ones, enabling the users both to buy and sell the virtual money. In case of complex ATMs, only the members of a particular ATM producer can use the ATM. General Bytes was the leading Bitcoin ATM manufacturer worldwide, with nearly 35 percent of the global market share.

  8. Bitcoin Bull-Run Prediction Dataset

    • kaggle.com
    zip
    Updated Nov 6, 2022
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    Allena Venkata Sai Abhishek (2022). Bitcoin Bull-Run Prediction Dataset [Dataset]. https://www.kaggle.com/datasets/abhishek14398/bitcoin-prediction-dataset-bullrun
    Explore at:
    zip(74340 bytes)Available download formats
    Dataset updated
    Nov 6, 2022
    Authors
    Allena Venkata Sai Abhishek
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Bitcoin is the most well-known longest-running cryptocurrency, released initially as an open source in 2009 by Satoshi Nakamoto. Bitcoin is a decentralized medium of digital exchange, with transactions recorded and verified in a public distributed ledger (the blockchain) without the need for a record-keeping authority or central intermediary.

    Transaction blocks contain an SHA-256 cryptographic hash of previous transaction blocks and are thus "chained" together, serving as an immutable record of all transactions that have ever occurred. As with any currency/commodity on the market, bitcoin trading and financial instruments soon followed the public adoption of bitcoin and continue to grow. Included here are historical bitcoin market data at 1-min intervals for select bitcoin exchanges where trading takes place. Happy (data) mining!

    Column Description

    FeaturesDescription
    DateDate of trading
    CurrencyContains Bitcoin name
    Closing PriceContains closing exchange rate
    24 openContains opening exchange rate on day basis
    24 highContains information when the price was high on day basis
    24 lowContains information when the price was low on day basis

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F3259703%2Fa27521bf39d3b3e7b098530fca14906f%2FK0RBKC.jpg?generation=1667729251345851&alt=media" alt="">

  9. C

    Crypto Technical Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 2, 2025
    + more versions
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    Market Report Analytics (2025). Crypto Technical Report [Dataset]. https://www.marketreportanalytics.com/reports/crypto-technical-54415
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    doc, pdf, pptAvailable download formats
    Dataset updated
    Apr 2, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

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

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

    The global crypto technical market, valued at $6.515 billion in 2025, is projected to experience robust growth, driven by the increasing adoption of cryptocurrencies and blockchain technology across diverse sectors. A compound annual growth rate (CAGR) of 13.6% is anticipated from 2025 to 2033, indicating a significant expansion of the market to approximately $25 billion by 2033. Key drivers include the growing demand for secure crypto infrastructure, the need for robust technical analysis tools for informed investment decisions, and the rising prevalence of decentralized finance (DeFi) applications. The BFSI (Banking, Financial Services, and Insurance) sector leads in adoption, followed by IT and Telecom, as these industries face increasing challenges related to data security and efficient transaction processing within the crypto space. Regulatory developments, while potentially posing short-term restraints, are ultimately expected to foster market maturation and wider acceptance of crypto technologies. The market segmentation by type (Crypto Technical Analysis, Operations, Infrastructure, and Development) reflects the diverse skill sets and services needed to support the entire cryptocurrency ecosystem. Companies like IBM, Google, and other established cybersecurity firms are actively investing in this space, leveraging their existing expertise in security and data management to cater to the growing market demands. Geographic distribution shows a strong presence in North America and Europe, driven by early adoption and technological advancements. However, Asia-Pacific is anticipated to witness substantial growth in the coming years due to its burgeoning digital economy and expanding cryptocurrency user base. The substantial growth projected for the crypto technical market stems from several converging factors. Firstly, the increasing sophistication of cryptocurrency trading strategies necessitates advanced analytical tools and expertise. Secondly, institutional investors are increasingly allocating funds to crypto assets, creating a surge in demand for secure and reliable infrastructure. Furthermore, the decentralized nature of blockchain technologies necessitates specialized development and operational expertise to ensure efficiency, security, and scalability. The continuous evolution of the crypto landscape – including the development of new cryptocurrencies, DeFi applications, and regulatory frameworks – will sustain the market’s long-term growth trajectory. While cybersecurity concerns and regulatory uncertainties present potential challenges, the overall outlook remains positive, reflecting a growing recognition of the long-term potential of crypto technologies across various industries.

  10. Main methods for obtaining crypto in Italy 2022

    • statista.com
    Updated Jan 15, 2023
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    Statista (2023). Main methods for obtaining crypto in Italy 2022 [Dataset]. https://www.statista.com/statistics/1367461/common-ways-to-obtain-crypto-in-italy/
    Explore at:
    Dataset updated
    Jan 15, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2023
    Area covered
    Italy, Worldwide
    Description

    According to domestic research, Italians preferred to buy crypto via financial methods they were already familiar with rather than crypto ATMs or wallets. The source cited a combination of indirect systems (in Italian: sistemi indiretti), traditional financial trading services (servizi di trading finanziari tradizionali), and their banking app (propria app bancaria) as more popular options to obtain crypto ahead of cryptocurrency exchanges such as Coinbase, Crypto.com, and Binance. The source does not give explicit reasons why this is the case and whether or not this behavior changes according to age and/or gender.

  11. Cryptocurrency ownership in Australia 2019-2025

    • statista.com
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    Statista, Cryptocurrency ownership in Australia 2019-2025 [Dataset]. https://www.statista.com/statistics/1244739/australia-cryptocurrency-ownership/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Australia
    Description

    According to a survey conducted in 2025, around 32 percent of the respondents in Australia owned some cryptocurrency. The figure was an increase from just under 28 percent in the previous year, and over double the share of investors from 2019.

  12. C

    Crypto Trading Platforms Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated May 13, 2025
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    Data Insights Market (2025). Crypto Trading Platforms Report [Dataset]. https://www.datainsightsmarket.com/reports/crypto-trading-platforms-1442504
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    pdf, doc, pptAvailable download formats
    Dataset updated
    May 13, 2025
    Dataset authored and provided by
    Data Insights Market
    License

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

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

    The global crypto trading platform market is experiencing robust growth, driven by increasing cryptocurrency adoption, technological advancements, and the expanding regulatory landscape. The market's size in 2025 is estimated at $25 billion, reflecting a considerable expansion from its historical period (2019-2024). A Compound Annual Growth Rate (CAGR) of 15% is projected for the forecast period (2025-2033), indicating a significant market expansion fueled by factors like institutional investment, the rise of decentralized finance (DeFi), and the growing appeal of cryptocurrencies as alternative assets. Key segments like peer-to-peer payment platforms and e-commerce integrations are significantly contributing to this growth. The geographical distribution shows North America and Asia Pacific currently hold the largest market shares, with Europe and other regions showing significant potential for expansion. The dominance of established players like Binance and Coinbase is being challenged by newer, innovative platforms, leading to increased competition and further market diversification. However, regulatory uncertainties and potential security risks remain as key restraints, requiring careful navigation by both platforms and investors. The market’s future trajectory hinges on the evolution of regulations, the advancement of blockchain technology, and the continued mainstream adoption of cryptocurrencies. The diverse range of crypto trading platforms, from centralized exchanges like Binance and Coinbase to decentralized platforms, caters to various user needs. This includes seasoned traders seeking advanced functionalities to retail investors utilizing user-friendly interfaces. The “services” segment, encompassing offerings like custodial services, educational resources, and analytical tools, is experiencing substantial growth, adding value beyond basic trading. The market's segmentation by application reveals the dominance of media and entertainment, driven by the increasing use of crypto for NFT transactions and content creation. The remittance sector is also experiencing significant traction as cross-border crypto transfers become increasingly popular. Ongoing technological advancements, including the development of faster, more efficient blockchains, will further fuel market expansion and improve user experience. A focus on security enhancements and user-friendly interfaces will remain crucial for platform success amidst the evolving regulatory environment.

  13. h

    crypto-charts

    • huggingface.co
    Updated Apr 6, 2024
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    Stephan Akkerman (2024). crypto-charts [Dataset]. https://huggingface.co/datasets/StephanAkkerman/crypto-charts
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 6, 2024
    Authors
    Stephan Akkerman
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Crypto Charts

    This dataset is a collection of a sample of images from tweets that I scraped using my Discord bot that keeps track of financial influencers on Twitter. The data consists mainly of images that are cryptocurrency charts. This dataset can be used for a wide variety of tasks, such as image classification or feature extraction.

      FinTwit Charts Collection
    

    This dataset is part of a larger collection of datasets, scraped from Twitter and labeled by a human (me).… See the full description on the dataset page: https://huggingface.co/datasets/StephanAkkerman/crypto-charts.

  14. Cryptocurrency timeseries 2020

    • kaggle.com
    zip
    Updated May 1, 2021
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    Roopa Hegde (2021). Cryptocurrency timeseries 2020 [Dataset]. https://www.kaggle.com/datasets/roopahegde/cryptocurrency-timeseries-2020
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    zip(23851259 bytes)Available download formats
    Dataset updated
    May 1, 2021
    Authors
    Roopa Hegde
    License

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

    Description

    Context

    This dataset is about the value of Bitcoin, Ethereum and Litecoin in USD and volume transacted of each currency between Jan-1-2020 and Apr-19-2021. Data is collected for ever minute between these two dates from the open of stock exchange to close.

    Content

    Unix Timestamp - Date represented as epoc value Date - date and time when the data point was collected Symbol - Symbol of the currency Open - Open value of the currency High - Highest value of currency in the given minute Low - Lowest value of currency in the given minute Close - Close value of the currency in the given minute Volume - Volume of the currency transacted in the given minute.

    Acknowledgements

    Thanks to the team @https://www.CryptoDataDownload.com for making this data available for public

    Inspiration

    An attempt to understand and learn timeseries data analysis.

  15. CryptoCurrency

    • kaggle.com
    zip
    Updated May 7, 2022
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    Suraj Gusain (2022). CryptoCurrency [Dataset]. https://www.kaggle.com/datasets/surajgusain015/cryptocurrency/discussion
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    zip(4882 bytes)Available download formats
    Dataset updated
    May 7, 2022
    Authors
    Suraj Gusain
    Description

    A cryptocurrency is an encrypted data string that denotes a unit of currency. It is monitored and organized by a peer-to-peer network called a blockchain, which also serves as a secure ledger of transactions, e.g., buying, selling, and transferring. Unlike physical money, cryptocurrencies are decentralized, which means they are not issued by governments or other financial institutions.

    Cryptocurrencies are created (and secured) through cryptographic algorithms that are maintained and confirmed in a process called mining, where a network of computers or specialized hardware such as application-specific integrated circuits (ASICs) process and validate the transactions. The process incentivizes the miners who run the network with the cryptocurrency.

    Bitcoin, Ether, Litecoin, and Monero are popular cryptocurrencies.

  16. d

    Basic Ethereum Transaction Count (Last 7 Days)

    • dune.com
    Updated Oct 14, 2025
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    holly_crab (2025). Basic Ethereum Transaction Count (Last 7 Days) [Dataset]. https://dune.com/discover/content/relevant?q=author:holly_crab&resource-type=queries
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    Dataset updated
    Oct 14, 2025
    Dataset authored and provided by
    holly_crab
    License

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

    Description

    Blockchain data query: Basic Ethereum Transaction Count (Last 7 Days)

  17. A

    AI-based Automated Crypto Trading Bots Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Jan 22, 2025
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    Archive Market Research (2025). AI-based Automated Crypto Trading Bots Report [Dataset]. https://www.archivemarketresearch.com/reports/ai-based-automated-crypto-trading-bots-15457
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    pdf, doc, pptAvailable download formats
    Dataset updated
    Jan 22, 2025
    Dataset authored and provided by
    Archive Market Research
    License

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

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

    The AI-based Automated Crypto Trading Bots market is poised for substantial growth in the coming years. With a market size valued at 112 million in the base year of 2025, the market is projected to expand at a remarkable compound annual growth rate (CAGR) of 25.9% during the forecast period from 2025 to 2033. This growth is driven by the increasing adoption of AI and blockchain technologies, coupled with the rising popularity of cryptocurrency trading. Major drivers of this market include the need for efficient and automated trading, the increasing institutional adoption of cryptocurrencies, and the growing availability of sophisticated trading bots. The market is segmented based on type into trend-following bots, arbitrage bots, and hybrid bots, with trend-following bots holding the largest market share. In terms of application, the market is divided into individuals and institutions, with individuals being the primary users of AI-based automated crypto trading bots. Prominent companies in this market include ArbitrageScanner, Pionex, Kryll, 3Commas, Altrady, Cryptohopper, TradeSanta, CryptoHero, Bitsgap, Gunbot, and HaasOnline. Regionally, North America is expected to hold the largest market share due to the presence of a large number of cryptocurrency exchanges and trading platforms. The Asia Pacific region is projected to witness the highest growth rate due to the increasing adoption of cryptocurrencies in emerging economies such as China and India. Description: AI-based Automated Crypto Trading Bots empower traders with advanced algorithms and machine learning capabilities to automate trading strategies and execute transactions in the volatile cryptocurrency market. These bots analyze market data, identify trading opportunities, and place orders autonomously, enabling traders to capitalize on market movements around the clock and mitigate human errors.

  18. m

    Comments on Telegram channels related to cryptocurrencies along with...

    • data.mendeley.com
    Updated Mar 8, 2024
    + more versions
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    kia jahanbin (2024). Comments on Telegram channels related to cryptocurrencies along with sentiments [Dataset]. http://doi.org/10.17632/3733zt5bs6.1
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    Dataset updated
    Mar 8, 2024
    Authors
    kia jahanbin
    License

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

    Description

    Through Telegram API, the authors collected this database over four months ago. These data are Telegram's comments of over eight professional Telegram channels about cryptocurrencies from December 2023 to March 2024. The theory of Behavioral economics shows that the opinions of people, especially experts, can impact the stock market trend (here, cryptocurrencies). Existing databases often cover tweets or Telegram's comments on one or more cryptocurrencies. Also, in these databases, no attention is paid to the user's expertise, and most of the data is extracted using hashtags. Failure to pay attention to the user's expertise causes the irrelevant volume to increase and the neutral polarity considerably. This database has a main table with eight columns. The columns of the main table are explained in the attached document. Researchers can use this dataset in various machine learning tasks, such as sentiment analysis and deep transfer learning with sentiment analysis. Also, this data can be used to check the impact of influencers' opinions on the cryptocurrency market trend. The use of this database is allowed by mentioning the source. Furthermore, we have added Python code to extract Telegram's comments. We used the RoBERTa pre-trained deep neural network and BiGRU deep neural network with an attention layer-based HDRB model(https://ieeexplore.ieee.org/document/10292644) for sentiment analysis.

  19. Bitcoin (BTC) daily network transaction history worldwide as of November 03,...

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Bitcoin (BTC) daily network transaction history worldwide as of November 03, 2025 [Dataset]. https://www.statista.com/statistics/730806/daily-number-of-bitcoin-transactions/
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    Dataset updated
    Nov 29, 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 ******* coins on the same day. Bitcoin generally has a higher transaction activity than other cryptocurrencies, except Ethereum. This cryptocurrency is often processed more than *********** 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 typically 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 ** 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 ** countries during the same time suggested that the market share of cryptocurrency in e-commerce transactions was "less than *** percent" in all surveyed countries, with predictions being this would not change in the future.

  20. Illegal cryptocurrency transaction share worldwide 2017-2024

    • statista.com
    Updated Aug 27, 2025
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    Statista (2025). Illegal cryptocurrency transaction share worldwide 2017-2024 [Dataset]. https://www.statista.com/statistics/1410685/illicit-crypto-transactions-worldwide/
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    Dataset updated
    Aug 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In 2024, 0.14 percent of the total cryptocurrency transaction volume was identified as illicit. This figure is based on the transactions involving cryptocurrency addresses known to be controlled by ransomware actors. The highest reported share of illegal transactions between 2017 and 2022 was in 2019, 1.9 percent.

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Aditya Mhaske (2023). Cryptocurrency Price Analysis Dataset [Dataset]. https://www.kaggle.com/datasets/adityamhaske/cryptocurrency-price-analysis-dataset
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Cryptocurrency Price Analysis Dataset

Exploring Historical Price Behavior and Market Dynamics of Cryptocurrencies

Explore at:
zip(188505 bytes)Available download formats
Dataset updated
Jun 15, 2023
Authors
Aditya Mhaske
License

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

Description

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

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

Columns:

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

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

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

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

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