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Historical Cryptocurrency Trading Data
Crypto & Blockchain Transactions
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About
This dataset provides historical trading data for cryptocurrencies, spanning from 1 January 2016 to 8 January 2022. It offers an archive of cryptocurrency tradings, ideal for data analysis aimed at predicting the price for digital cryptocurrencies. The dataset's purpose is to facilitate in-depth understanding and forecasting within the volatile digital currency market.
Columns
The dataset comprises 17 columns, each detailing a specific aspect of cryptocurrency trading:
trade_date: The specific date of the trading activity.volume: The trading volume denominated in US Dollars.price_usd: The price of the cryptocurrency in US Dollars.price_btc: The price of the cryptocurrency relative to Bitcoin (BTC).market_cap: The market capitalization of the cryptocurrency, expressed in US Dollars.capitalization_change_1_day: The percentage change in market capitalization compared to the previous day.USD_price_change_1_day: The percentage change in the US Dollar price compared to the previous day.BTC_price_change_1_day: The percentage change in the Bitcoin price compared to the previous day.crypto_name: The name of the digital cryptocurrency.crypto_type: Indicates the type of cryptocurrency, with '0' for a coin and '1' for a token.ticker: The ticker symbol for the cryptocurrency.max_supply: The maximum possible supply of the cryptocurrency.site_url: The official website URL for the cryptocurrency.github_url: The GitHub repository URL for the cryptocurrency.minable: A binary indicator ('0' or '1') showing whether the cryptocurrency is minable.platform_name: The name of the platform on which the cryptocurrency operates.industry_name: The industry category for the cryptocurrency, such as 'Proof of Work (PoW)'.
Distribution
The dataset is provided as a CSV file named
crypto_tradinds.csv, with a file size of 447.11 MB. It contains 17 columns of data. A significant portion of the data, approximately 2.38 million records, are valid across key trading metrics such as trade_date, volume, and price_usd. However, some columns have missing values; for instance, crypto_name has 7% missing records (159k missing out of 2.38m total records), github_url has 35% missing (845k missing), and max_supply has 71% missing (1.69m missing). The dataset is expected to be updated quarterly.Usage
This dataset is ideally suited for various applications including:
- Predicting the future price of digital cryptocurrencies.
- Performing detailed data analysis on historical trading patterns.
- Developing and testing machine learning models for market forecasting.
- Understanding market trends and volatility in the cryptocurrency space.
Coverage
The dataset covers cryptocurrency trading activities over a defined historical period, specifically from 1 January 2016 to 8 January 2022. There are no specific geographic or demographic scopes mentioned for the data. The dataset is regularly updated, with an expected quarterly update frequency, ensuring its continued relevance.
License
CC0: Public Domain
Who Can Use It
This dataset is valuable for a wide range of users and their specific needs:
- Data analysts looking to explore market dynamics and trends.
- Machine learning engineers interested in building predictive models for cryptocurrency prices.
- Financial researchers studying market behaviour and economic indicators within the digital currency sector.
- Algorithmic traders seeking to backtest strategies or develop new trading algorithms.
- Individuals curious about the historical performance of cryptocurrencies.
Dataset Name Suggestions
- Historical Cryptocurrency Trading Data
- Digital Currency Market Historicals
- Crypto Price Prediction Archive
- Cryptocurrency Tradings Dataset
Attributes
Original Data Source: Historical Cryptocurrency Trading Data
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