23 datasets found
  1. Historical Daily Prices for Top 100 Crypto

    • kaggle.com
    zip
    Updated Feb 22, 2025
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    Jakub Krasuski (2025). Historical Daily Prices for Top 100 Crypto [Dataset]. https://www.kaggle.com/datasets/jakubkrasuski/historical-daily-prices-for-top-100-crypto
    Explore at:
    zip(39669 bytes)Available download formats
    Dataset updated
    Feb 22, 2025
    Authors
    Jakub Krasuski
    License

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

    Description

    This dataset contains historical daily price data specifically for the top 100 cryptocurrencies, ranked by market capitalization. It includes timestamped price records in USD and the unique identifier for each cryptocurrency, focusing on the most significant assets in the market.

  2. Cryptocurrency Market Values and Supply

    • kaggle.com
    zip
    Updated Feb 11, 2023
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    The Devastator (2023). Cryptocurrency Market Values and Supply [Dataset]. https://www.kaggle.com/datasets/thedevastator/cryptocurrency-market-values-and-supply
    Explore at:
    zip(12662 bytes)Available download formats
    Dataset updated
    Feb 11, 2023
    Authors
    The Devastator
    License

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

    Description

    Cryptocurrency Market Values and Supply

    Tracking Value and Supply Trends

    By [source]

    About this dataset

    This dataset provides an unparalleled insight into the trends of the cryptocurrency market by collecting daily snapshots of its market capitalization, price, circulating supply, and the name, symbol, and date associated with each snapshot. The data offers researchers a comprehensive view of different cryptocurrencies across the globe in terms of value and techniques used to manage their supplies. This data helps us compare different digital currencies while identifying each currency’s potential for growth based on current valuation trends or its susceptibility to volatility. Furthermore, this dataset enables us to research both current developments as well as historical dynamics within the cryptocurrency market. Ultimately, these records provide critical material for gaining a better understanding of the concept that governs digital currency markets and allow users to make informed decisions when choosing between various investments options in a rapidly changing finance industry

    More Datasets

    For more datasets, click here.

    Featured Notebooks

    • 🚨 Your notebook can be here! 🚨!

    How to use the dataset

    This dataset provides an invaluable insight into the trends of the cryptocurrency market, allowing you to analyze and compare different cryptocurrencies in terms of their market value, circulating supply and volatility. Here's how to get started using this dataset:

    • Examine the Columns: The dataset includes several columns such as Name, Market_cap, Price, Circulating_supply and Symbol. It is important to understand what data each column contains before you start exploring the data.
    • Select Correlated Cryptocurrencies: You can select two or more correlated cryptocurrencies to compare their market values, circulating supplies or prices over time. This allows you to see how changes in one currency affects other currencies.
    • Filter Results by Price or Market Cap: You can filter your results by setting a specific maximum or minimum price for each cryptocurrency or by setting a maximum/minimum market cap for any given day of analysis. This will help narrow down results that may be hard to interpret due to high variation in values between days or timespans (time series analysis).
    • Conduct Time Series Analysis: Start your time series analysis by tracking changes in Price, Market Cap and Circulating Supply over time on a single chart so that you can observe patterns better than if displayed separately; this makes it easier to spot potential correlations between values which might suggest underlying causes causing these changes. 5 Use Models To Forecast Activity In The Cryptocurrency Market : Using Machine Learning models with historic data from this dataset enables more accurate predictions about what could happen in the future create more accurate models about expected future activity going into investing decisions for doing research about long term investments moves that goes beyond short term trading strategies

    Research Ideas

    • Creating a statistical model to predict the price movement of different cryptocurrencies given market conditions and circulating supply;
    • Analyzing the effect of investing decisions on cryptocurrencies by analyzing historical trends in market capitalization, price, and circulating supply;
    • Identifying correlations between trading volume and market capitalization or circulating supply in order to better understand how these factors impacts prices over time

    Acknowledgements

    If you use this dataset in your research, please credit the original authors. Data Source

    License

    License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

    Columns

    File: top cryto2.csv | Column name | Description | |:-----------------------|:---------------------------------------------------------------------------| | Name | The name of the cryptocurrency. (String) | | Market_cap | The total market capitalization of the cryptocurrency. (Float) | | price | The current price of the cryptocurrency. (Float) | | **circulating_supply...

  3. Prices of top cryptocurrencies

    • kaggle.com
    zip
    Updated Jan 2, 2022
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    Kuntal Maity (2022). Prices of top cryptocurrencies [Dataset]. https://www.kaggle.com/kuntalmaity/prices-of-top-cryptocurrencies
    Explore at:
    zip(401738 bytes)Available download formats
    Dataset updated
    Jan 2, 2022
    Authors
    Kuntal Maity
    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:

    How many cryptocurrencies are there and what are their prices and valuations? 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 (1st jan 2014 to 1st jan 2022) 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-The Capital of this coin

  4. Dogecoin DOGE/USD price history up to Nov 16, 2025

    • statista.com
    Updated Nov 17, 2025
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    Statista (2025). Dogecoin DOGE/USD price history up to Nov 16, 2025 [Dataset]. https://www.statista.com/statistics/1200235/dogecoin-price-index/
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    Dataset updated
    Nov 17, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 27, 2020 - Nov 16, 2025
    Area covered
    Worldwide
    Description

    The price of the cryptocurrency based on the famous internet meme broke its price decline in early November 2022, as people started buying the coin after FTX's collapse. This rally only lasted for a few days, however, as a Dogecoin was worth roughly 0.16 U.S. dollars on November 16, 2025. This is a different development than in 2021, when the crypto became very popular in a short amount of time. Between January 28 and January 29, 2021, Dogecoin's value grew by around 216 percent to 0.023535 U.S. dollars after comments from Tesla CEO Elon Musk. The digital coin quickly grew to become the most talked-about cryptocurrency available, not necessarily for its price - the prices of Bitcoin (BTC), Ethereum (ETH), Ripple (XRP), and several other virtual currencies were much higher than those of DOGE - but for its growth.

  5. o

    Complete-Historical-Cryptocurrency-Financial-Data

    • openml.org
    • kaggle.com
    Updated Mar 23, 2022
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    (2022). Complete-Historical-Cryptocurrency-Financial-Data [Dataset]. https://www.openml.org/d/43312
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 23, 2022
    License
    Description

    Context Recent growing interest in cryptocurrencies, specifically as a speculative investment vehicle, has sparked global conversation over the past 12 months. Although this data is available across various sites, there is a lack of understanding as to what is driving the exponential rise of many individual currencies. This data set is intended to be a starting point for a detailed analysis into what is driving price action, and what can be done to predict future movement. Content Consolidated financial information for the top 10 cryptocurrencies by marketcap. Pulled from CoinMarketCap.com. Attributes include:

    Currency name (e.g. bitcoin) Date
    Open High Low Close Volume Marketcap

    Inspiration For the past few months I have been searching for a reliable source for historical price information related to cryptocurrencies. I wasn't able to find anything that I could use to my liking, so I built my own data set. I've written a small script that scrapes historical price information for the top 200 coins by market cap as listed on CoinMarketCap.com. I plan to run some basic analysis on it to answer questions that I have a "gut" feeling about, but no quantitative evidence (yet). Questions such as:

    What is the correlation between bitcoin and alt coin prices What is the average age of the top 10 coins by market cap What day of the week is best to buysell Which coins in the top two hundred are less than 6 months old Which currencies are the most volatile What the hell happens when we go to bed and Asia starts trading

    Feel free to use this for your own purposes I just ask that you share your results with the group when complete. Happy hunting

  6. 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!

  7. Forecasting Top Cryptocurrencies

    • kaggle.com
    zip
    Updated Apr 12, 2022
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    Vitalii Mokin (2022). Forecasting Top Cryptocurrencies [Dataset]. https://www.kaggle.com/datasets/vbmokin/forecasting-top-cryptocurrencies/discussion
    Explore at:
    zip(3340 bytes)Available download formats
    Dataset updated
    Apr 12, 2022
    Authors
    Vitalii Mokin
    License

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

    Description

    The dataset contains information on cryptocurrencies with a capitalization of more billion USD, which is necessary for their forecasting. I filled part information about cryptocurrencies on my own by studying the materials in Wikipedia and the resources mentioned in it.

    The dataset consist of tables with data for different models (clustering results, anomalous dates, pre-trained models, etc.).

    The primary purpose of the dataset is scientific and educational: to study the patterns of the crypto market and test various Data Science technologies for these tasks.

    Data on these cryptocurrencies will be downloaded via API.

  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 authored and provided by
    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. DogeCoin Historical Price Data

    • kaggle.com
    zip
    Updated Jul 28, 2022
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    Neel Gajare (2022). DogeCoin Historical Price Data [Dataset]. https://www.kaggle.com/datasets/neelgajare/dogecoin-historical-price-data
    Explore at:
    zip(35054 bytes)Available download formats
    Dataset updated
    Jul 28, 2022
    Authors
    Neel Gajare
    Description

    Context

    Dogecoin is a cryptocurrency created by software engineers Billy Markus and Jackson Palmer, who decided to create a payment system as a "joke", making fun of the wild speculation in cryptocurrencies at the time. It is considered both the first "meme coin", and, more specifically, the first "dog coin". Despite its satirical nature, some consider it a legitimate investment prospect. Dogecoin features the face of the Shiba Inu dog from the "doge" meme as its logo and namesake. It was introduced on December 6, 2013, and quickly developed its own online community, reaching a market capitalization of over $85 billion on May 5, 2021.

    Content

    This dataset contains 1018 text files with comma-separated values, with each file representing historical data for each company. The data in each file contains daily stock data for the company from when it became public to present. There are 7 columns: - Date - Open - High - Low - Close - Adjusted close price for splits and dividend and/or capital gain distributions - Volume

    Acknowledgements

    Thanks to Yahoo Finance!

  10. Cryptocurrency Prices (Top 200+) - Daily Updated

    • kaggle.com
    zip
    Updated Nov 3, 2025
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    The Hidden Layer (2025). Cryptocurrency Prices (Top 200+) - Daily Updated [Dataset]. https://www.kaggle.com/datasets/isaaclopgu/cryptocurrency-historical-prices-top-100-2025
    Explore at:
    zip(13124982 bytes)Available download formats
    Dataset updated
    Nov 3, 2025
    Authors
    The Hidden Layer
    License

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

    Description

    Cryptocurrency Historical Data - Top 250 by Market Cap

    Overview

    This dataset provides comprehensive historical price and volume data (OHLCV) for the top 250 cryptocurrencies by market capitalization. Data is sourced from yfinance and CoinGecko.

    Key Features

    • Top 250: Includes all major cryptocurrencies by market cap
    • Complete OHLCV Data: Open, High, Low, Close, and Volume for each trading day
    • History: Maximum available history for each cryptocurrency
    • Sources: Data sourced from Yahoo Finance and CoinGecko APIs

    Use Cases

    • Financial analysis and backtesting trading strategies
    • Machine learning model training for price prediction
    • Market research and trend analysis
    • Academic research in cryptocurrency markets
    • Portfolio optimization and risk management
    • Time series analysis and forecasting

    Perfect for researchers, traders, data scientists, and anyone working with cryptocurrency market data.

  11. Real-Time Cryptocurrency Prices Dataset

    • kaggle.com
    zip
    Updated Nov 18, 2025
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    HimanshuSsharma (2025). Real-Time Cryptocurrency Prices Dataset [Dataset]. https://www.kaggle.com/datasets/himanshussharma/real-time-cryptocurrency-prices-dataset
    Explore at:
    zip(5417 bytes)Available download formats
    Dataset updated
    Nov 18, 2025
    Authors
    HimanshuSsharma
    License

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

    Description

    Real-Time Cryptocurrency Prices Dataset (Top 200 Coins)

    This dataset contains real-time cryptocurrency market data fetched from the Crypto News Mini API (via RapidAPI). The dataset includes detailed price and market information for the top cryptocurrencies, ranked by market capitalization. Each row represents one cryptocurrency with the following attributes:

    Features

    rank – Global market cap ranking symbol – Trading symbol (e.g., BTC, ETH, SOL) name – Full coin name slug – API-friendly unique identifier id – Internal API ID price – Current price in USD image – Logo image URL market_cap – Total market capitalization in USD change_24h_percent – 24-hour price movement (%)

    How This Dataset Was Collected :-

    Source: Crypto-News51 Mini Crypto Prices API API Provider: RapidAPI Base Currency: USD Page Size: 20 coins per request Pages scraped: multiple (up to 200 coins total)

  12. f

    Regressions in subsamples by crypto capitalization.

    • figshare.com
    • plos.figshare.com
    xls
    Updated Nov 27, 2024
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    Huy Pham; Trang Ngoc Doan Tran; Ngoc Thi Thanh Nguyen; Khoa Dang Duong (2024). Regressions in subsamples by crypto capitalization. [Dataset]. http://doi.org/10.1371/journal.pone.0304377.t006
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Nov 27, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Huy Pham; Trang Ngoc Doan Tran; Ngoc Thi Thanh Nguyen; Khoa Dang Duong
    License

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

    Description

    Regressions in subsamples by crypto capitalization.

  13. Popular Cryptocurrency Historical Data

    • kaggle.com
    zip
    Updated Dec 4, 2021
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    Nicholas Ward (2021). Popular Cryptocurrency Historical Data [Dataset]. https://www.kaggle.com/datasets/nward7/popular-cryptocurrency-historical-data
    Explore at:
    zip(332398 bytes)Available download formats
    Dataset updated
    Dec 4, 2021
    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/

  14. Top100-Cryptocurrencies (02/2014)

    • kaggle.com
    zip
    Updated Feb 15, 2024
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    youssef ghaoui (2024). Top100-Cryptocurrencies (02/2014) [Dataset]. https://www.kaggle.com/datasets/youssefghaoui/top100-cryptocurrencies-022014
    Explore at:
    zip(8118664 bytes)Available download formats
    Dataset updated
    Feb 15, 2024
    Authors
    youssef ghaoui
    License

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

    Description

    This dataset proves the top 100 coins [Based on market cap]: - All of the historical data for the coins are from 01-01-2014 to 15/16-02-2024 (except jupiter-coin ) - Features are: Start, End, Open, High, Low, Close, Volume, Market Cap

    Upvote if you found this data interesting and helpful.

  15. Top 100 Cryptocurrency Historical Data

    • kaggle.com
    zip
    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
    Explore at:
    zip(3651934 bytes)Available download formats
    Dataset updated
    Oct 9, 2017
    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!

  16. Crypto Currency - CoinMarketCapital Dataset

    • kaggle.com
    zip
    Updated Aug 10, 2023
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    Shavilya Rajput (2023). Crypto Currency - CoinMarketCapital Dataset [Dataset]. https://www.kaggle.com/datasets/shavilyarajput/crypto-currency-coinmarketcapital-dataset
    Explore at:
    zip(1343168 bytes)Available download formats
    Dataset updated
    Aug 10, 2023
    Authors
    Shavilya Rajput
    License

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

    Description

    The "Cryptocurrency Market Data from Coin Market Capital API" dataset provides comprehensive and up-to-date information on a wide range of cryptocurrencies. As the name suggests, the dataset revolves around the dynamic world of digital currencies and has been meticulously collected by utilizing the Coin Market Capital API.

  17. Top 100 Cryptocurrencies Historical Dataset

    • kaggle.com
    zip
    Updated Aug 23, 2022
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    Kash (2022). Top 100 Cryptocurrencies Historical Dataset [Dataset]. https://www.kaggle.com/kaushiksuresh147/top-10-cryptocurrencies-historical-dataset
    Explore at:
    zip(4101735 bytes)Available download formats
    Dataset updated
    Aug 23, 2022
    Authors
    Kash
    License

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

    Description

    https://static.wixstatic.com/media/5c9ae1_2cc005deaace49539cc49c65f3d7cfa7%7Emv2.gif" alt="">

    Context

    Wait, What's a cryptocurrency🤔🤔?

    • A cryptocurrency or crypto is a digital asset designed to work as a medium of exchange wherein individual coin ownership records are stored in a ledger existing in a form of a computerized database using strong cryptography to secure transaction records, to control the creation of additional coins, and to verify the transfer of coin ownership.

    • A report from exchange Crypto.com estimated that there were 106 million crypto users around the world in January, following a 16% jump in participants last month alone.

    • A separate survey from financial advisory group deVere found 70% of its clients aged over 55 had already invested in digital currencies or were planning to do so, in 2021, despite bitcoin and others being strongly associated with younger, millennial investors.

    Interesting facts about cryptocurrency:

    1. You Can’t Lose Your Wallet
    2. Beware of Cryptojacking
    3. Bitcoin Inventor Is Unknown
    4. Cryptocurrency Value Is Extremely Volatile
    5. China Is The Biggest Miner Of Cryptocurrency
    6. Cryptocurrency Can’t Be Physically Banned
    7. Around 6 countries Have Banned Cryptocurrency
    8. Cryptocurrency Is Great For Ecommerce
    9. International Transactions Without Exchange Resource: 9 facts that you need to know about cryptocurrency

    Content

    The Goal of the dataset is to bring the historical data of the top 100 cryptocurrencies( Ranked based on the market cap)

    • What is Market capitalization?

    Market capitalization is an indicator that measures and keeps track of the market value of a cryptocurrency. Market cap is used as an indicator of the dominance and popularity of cryptocurrencies. Though this metric is widely used, more information before making trading decisions is recommended.

    About dataset

    • The dataset is a Zip file that consists of the crypto prices of nearly 75 coins from their start date till 30/11/2021 (Also working on the other 25 cryptocurrency data as promised). A leaderboard file as of 30/11/2021 has also been included in the zip file named Current Crypto Leaderboard.csv, which has the market capitalization, rank, coin name, symbol, Price, and a tagging variable that mentions the availability of the corresponding coin in the dataset.

    Historical data(day-interval) of all the coins mentioned in the leaderboard is provided in the dataset. The leaderboard is subject to change as the market cap increases/decreases. Any new coin which enters the top 100 will be added to the dataset. The leaderboard and the dataset will be updated on a monthly basis.

    Starter Notebook:

    1. What is Cryptocurrency? 🤔
    2. What, Why, Where, and How of Blockchain 🤔🙄
    3. How to identify bull market using candlestick 🐂
    4. Bitcoin Volatility analysis with interactive visualization 📈
    5. Performance analysis of Top 10 Crypto's in Oct 2021 🔟💵

    Content

    Note: The datasets consist of the following columns and will be updated on a monthly basis

    | No |Columns | Descriptions | | -- | -- | -- | | 1 | Date | Date of the crypto prices | | 2 | Close | Closing prices of crypto(dollars) | | 3 | Open | Opening price of crypto on the respective date(Dollars) | | 4 | High | Highest price of crypto on the respective date(Dollars) | | 5 | Low | Lowest price of crypto on the respective date(Dollars) | | 6 | Vol. | Volume of crypto on the respective date(Dollars). |

    Disclaimer

    The author doesn't recommend or advise investing in any of these coins mentioned as each investment is subject to risk. The dataset is purely for research and exploration purposes to understand the behavior and volatility of the crypto coins.

    Inspiration

    Do you believe that cryptocurrencies will revolutionize the industry? Well, I believe it has already begun to.

    • Are cryptocurrencies the future?
    • How volatile will these cryptocurrencies be?
    • Is cryptocurrency a good investment?
    • Can we predict the prices of cryptocurrency?
    • Is it better than the other traditional investment assets like Stocks, Funds, Tangibles?
    • Is investing in crypto a good diversification strategy?

    and so on and on. There are too many questions that can arise given that we have limited information. But let's make the most out of it and understand these cryptos.

    Task✍️

    • EDA on trending & pot...
  18. Crypto Dataset IPBA B12 D

    • kaggle.com
    zip
    Updated Dec 20, 2022
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    Soumya Jha (2022). Crypto Dataset IPBA B12 D [Dataset]. https://www.kaggle.com/datasets/jsoumya10/ipbab12d
    Explore at:
    zip(641134 bytes)Available download formats
    Dataset updated
    Dec 20, 2022
    Authors
    Soumya Jha
    Description

    Cryptocurrencies have been constantly part of news articles lately. So we wanted to understand more about it. Some basic questions got us interested in looking for answers to the following questions: - How many cryptocurrencies are there and what are their prices and valuations? - Why is there a sudden surge in interest in recent days?

    The Dataset has one CSV containing the Top 9 cryptocurrencies by market capitalization and their historical data from 8 Aug 2015 to 6 July 2021. Price history is available on a daily basis from 8 Aug 2015.

    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

    Acknowledgments This data is taken from Cryptocurrency Historical Prices (on Kaggle) Cover Image: Photo by Taxer on Unsplash

    Problem Statement: 1. Recognizing the Top 5 most volatile currencies. 2. Predicting the next date closing price based on past cryptocurrency data for investments. 3. Finding patterns of cryptocurrencies using historical data. 4. Understanding the need for patterns in cryptocurrency historical data as a tool for building a crypto trading system as a future scope.

  19. TOP 10 crypto-currency from 2011-2023

    • kaggle.com
    zip
    Updated Mar 25, 2023
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    Dhieb Tarak (2023). TOP 10 crypto-currency from 2011-2023 [Dataset]. https://www.kaggle.com/datasets/dhiebtarak/top-10-crypto-currency-from-2011-2023
    Explore at:
    zip(1144542 bytes)Available download formats
    Dataset updated
    Mar 25, 2023
    Authors
    Dhieb Tarak
    Description

    This dataset provides a detailed look at the top 10 cryptocurrencies from 2011 to 2023. While not all of the included cryptocurrencies were in existence in 2011, the data begins at this point to provide a comprehensive historical view of the cryptocurrency market. The dataset includes daily market capitalization, trading volume, price, and other key metrics for each cryptocurrency. The top 10 cryptocurrencies in this dataset include Bitcoin, Ethereum, Binance Coin, Cardano, Dogecoin, XRP, Solana, Polkadot, USD Coin, and Terra. It is important to note that this dataset is not empty and provides meaningful information, even for the earlier years when not all of the included cryptocurrencies were yet in existence. This dataset is useful for anyone interested in analyzing trends in the cryptocurrency market over time or investigating the performance of individual cryptocurrencies. The data was collected from a variety of sources and is updated regularly to ensure accuracy and completeness.

  20. Cryptocurrency Market Data 2025 | Top 1000 Coins

    • kaggle.com
    zip
    Updated Apr 29, 2025
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    Sonal Gire (2025). Cryptocurrency Market Data 2025 | Top 1000 Coins [Dataset]. https://www.kaggle.com/datasets/sonalgire/cryptocurrency-market-data-2025-top-1000-coins/data
    Explore at:
    zip(34076 bytes)Available download formats
    Dataset updated
    Apr 29, 2025
    Authors
    Sonal Gire
    License

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

    Description

    This dataset contains the latest market data of the top 1000 cryptocurrencies, including:

    • Coin Names and Symbols
    • Current Prices (USD)
    • Market Capitalization
    • 24-hour Price Changes (%)
    • Trading Volume
    • Last Updated Timestamps

    Data was collected in April 2025.

Share
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Click to copy link
Link copied
Close
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Jakub Krasuski (2025). Historical Daily Prices for Top 100 Crypto [Dataset]. https://www.kaggle.com/datasets/jakubkrasuski/historical-daily-prices-for-top-100-crypto
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Historical Daily Prices for Top 100 Crypto

Price Data for the Top 100 Cryptocurrencies by Market Capitalization

Explore at:
zip(39669 bytes)Available download formats
Dataset updated
Feb 22, 2025
Authors
Jakub Krasuski
License

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

Description

This dataset contains historical daily price data specifically for the top 100 cryptocurrencies, ranked by market capitalization. It includes timestamped price records in USD and the unique identifier for each cryptocurrency, focusing on the most significant assets in the market.

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