2 datasets found
  1. Cryptocurrency Historical Prices

    • kaggle.com
    zip
    Updated Aug 8, 2017
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    SRK (2017). Cryptocurrency Historical Prices [Dataset]. https://www.kaggle.com/sudalairajkumar/cryptocurrencypricehistory
    Explore at:
    zip(242898 bytes)Available download formats
    Dataset updated
    Aug 8, 2017
    Authors
    SRK
    License

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

    Description

    Context

    In the last few days, I have been hearing a lot of buzz around cryptocurrencies. 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 DS guy sleeping inside me (always lazy.!) woke up and started raising questions like

    1. How many such cryptocurrencies are there and what are their prices and valuations?
    2. Why is there a sudden surge in the interest in recent days? Is it due to the increase in the price in the last few days? etc.

    For getting answers to all these questions (and if possible to predict the future prices ;)), I started getting the data from coinmarketcap about the cryptocurrencies.

    Content

    This dataset has the historical price information of some of the top cryptocurrencies by market capitalization. The currencies included are

    • Bitcoin
    • Ethereum
    • Ripple
    • Bitcoin cash
    • Bitconnect
    • Dash
    • Ethereum Classic
    • Iota
    • Litecoin
    • Monero
    • Nem
    • Neo
    • Numeraire
    • Stratis
    • Waves

    In case if you are interested in the prices of some other currencies, please post in comments section and I will try to add them in the next version. I am planning to revise it once in a week.

    Dataset has one csv file for each currency. Price history is available on a daily basis from April 28, 2013 till Aug 07, 2017. The columns in the csv file are

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

    Acknowledgements

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

    Cover Image : Photo by Thomas Malama on Unsplash

    Inspiration

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

    1. How did the historical prices / market capitalizations of various currencies change over time?
    2. Predicting the future price of the currencies
    3. Which currencies are more volatile and which ones are more stable?
    4. How does the price fluctuations of currencies correlate with each other?
    5. Seasonal trend in the price fluctuations
  2. Dubai Cypto Currency Price Database

    • kaggle.com
    Updated Oct 24, 2023
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    Lasal Jayawardena (2023). Dubai Cypto Currency Price Database [Dataset]. http://doi.org/10.34740/kaggle/dsv/6780471
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 24, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Lasal Jayawardena
    License

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

    Area covered
    Dubai
    Description

    Dubai Crypto Database

    The Dubai Crypto Database is a comprehensive and meticulously curated dataset that offers a wealth of information on over 7500 cryptocurrencies, each paired with the United Arab Emirates Dirham (AED). This dataset is an invaluable resource for anyone interested in exploring the world of digital currencies and analyzing their market behavior. These not only include popular coins such as BTC, ETH, and SOL but it also captures newly released coins as well.

    Dubai Information

    Location: Dubai, United Arab Emirates

    Description: Dubai, a global hub for finance and technology, is at the forefront of adopting and integrating digital currencies and blockchain technology. The Dubai Crypto Database is a reflection of the city's commitment to embracing the future of finance and providing a comprehensive dataset for those interested in the cryptocurrency market.

    Dataset File Structure

    The dataset is structured with the following key fields:

    Name: Coin Name - Type: String - Description: The official name of the cryptocurrency, enabling easy identification and reference to specific digital coins.

    Symbol: Trading Symbol of the Coin - Type: String - Description: This field provides the unique trading symbol associated with each cryptocurrency, a vital element for traders and investors.

    Date: Date of the Price - Type: Datetime - Description: Accurate time-stamping allows for precise tracking of cryptocurrency prices, facilitating trend analysis and historical comparisons.

    Open: Opening Price of the Day - Type: Number - Description: The opening price signifies the value at which the cryptocurrency began trading on a particular day, offering insights into market sentiment.

    High: Highest Price of the Day - Type: Number - Description: The highest price recorded during the day provides a glimpse into the cryptocurrency's peak performance within a given timeframe.

    Low: Lowest Price of the Day - Type: Number - Description: The lowest price registered during the day offers a perspective on the cryptocurrency's lowest trading point within that period.

    Close: Closing Price of the Day - Type: Number - Description: The closing price represents the cryptocurrency's final trading value for the day, crucial for assessing daily market performance.

    Adj Close: Adjusted Closing Price of the Day - Type: Number - Description: This field accounts for various factors such as dividends and stock splits, offering a more accurate view of a cryptocurrency's closing price.

    Potential Uses

    Investment Analysis: Investors can leverage this dataset to analyze historical price trends, volatility, and correlations between cryptocurrencies and traditional assets. It helps in making informed investment decisions and managing risk in cryptocurrency portfolios.

    Market Research: Market researchers can use this dataset to study market dynamics, identify emerging cryptocurrencies, and assess the impact of news events on cryptocurrency prices. It aids in understanding market sentiment and behavior.

    Algorithmic Trading: Traders and quantitative analysts can develop algorithmic trading strategies based on historical price data. The dataset enables the backtesting of trading algorithms to assess their effectiveness.

    Risk Management: Risk managers can assess the risk associated with cryptocurrency investments by analyzing historical price volatility and correlations with other asset classes.

    Academic Research: Academics and researchers can use this dataset to conduct studies on various aspects of the cryptocurrency market, contributing to the academic understanding of digital currencies.

    Conclusion

    The Dubai Crypto Database is a versatile and informative dataset that opens doors to a wide range of applications in the world of cryptocurrencies. Its structured and detailed information allows users to gain insights, make data-driven decisions, and explore the ever-evolving landscape of digital assets. Whether you're an investor, researcher, trader, or enthusiast, this dataset is a valuable tool for navigating the complexities of the cryptocurrency market.

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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
SRK (2017). Cryptocurrency Historical Prices [Dataset]. https://www.kaggle.com/sudalairajkumar/cryptocurrencypricehistory
Organization logo

Cryptocurrency Historical Prices

Prices of top cryptocurrencies including BTC, ETH, ADA, DOT and BNB

Explore at:
zip(242898 bytes)Available download formats
Dataset updated
Aug 8, 2017
Authors
SRK
License

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

Description

Context

In the last few days, I have been hearing a lot of buzz around cryptocurrencies. 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 DS guy sleeping inside me (always lazy.!) woke up and started raising questions like

  1. How many such cryptocurrencies are there and what are their prices and valuations?
  2. Why is there a sudden surge in the interest in recent days? Is it due to the increase in the price in the last few days? etc.

For getting answers to all these questions (and if possible to predict the future prices ;)), I started getting the data from coinmarketcap about the cryptocurrencies.

Content

This dataset has the historical price information of some of the top cryptocurrencies by market capitalization. The currencies included are

  • Bitcoin
  • Ethereum
  • Ripple
  • Bitcoin cash
  • Bitconnect
  • Dash
  • Ethereum Classic
  • Iota
  • Litecoin
  • Monero
  • Nem
  • Neo
  • Numeraire
  • Stratis
  • Waves

In case if you are interested in the prices of some other currencies, please post in comments section and I will try to add them in the next version. I am planning to revise it once in a week.

Dataset has one csv file for each currency. Price history is available on a daily basis from April 28, 2013 till Aug 07, 2017. The columns in the csv file are

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

Acknowledgements

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

Cover Image : Photo by Thomas Malama on Unsplash

Inspiration

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

  1. How did the historical prices / market capitalizations of various currencies change over time?
  2. Predicting the future price of the currencies
  3. Which currencies are more volatile and which ones are more stable?
  4. How does the price fluctuations of currencies correlate with each other?
  5. Seasonal trend in the price fluctuations
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