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Bitcoin, Ethereum, and Litecoin Timeseries Data
Crypto & Blockchain Transactions
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About
Cryptocurrency timeseries data is captured minute-by-minute, detailing the USD value and volume for three major digital assets: Bitcoin, Ethereum, and Litecoin. The data provides a granular view of market movements from 1 January 2020 up to 19 April 2021. This product is highly suitable for analysts and students aiming to understand short-term market volatility and perform detailed time series data analysis.
Columns
- Unix Timestamp: The date and time represented as an epoch value.
- Date: The date and time when the specific data point was collected.
- Symbol: The designated symbol of the currency (e.g., BTCUSD).
- Open: The starting value of the currency in the given minute.
- High: The highest value the currency reached during the given minute.
- Low: The lowest value the currency dropped to during the given minute.
- Close: The closing value of the currency at the end of the time window.
- Volume: The total volume of the currency transacted in that specific minute.
Distribution
The data is structured as a CSV file, totaling 138.9 MB. It includes eight columns and contains approximately 1M valid records. All entries are validated, with zero reported mismatched or missing values. The minute-by-minute nature ensures high granularity. The data set is static and is not expected to receive future updates.
Usage
The data product is ideal for developing high-resolution data visualisations and studying short-term price fluctuations in digital currencies. Primary applications include practising time series data analysis, forecasting market trends, and simulating trading strategies.
Coverage
The data provides financial metrics for Bitcoin, Ethereum, and Litecoin, collected minute-by-minute from the open to the close of the stock exchange. The time span covered is 1 January 2020 to 19 April 2021.
License
CC0: Public Domain
Who Can Use It
- Data Scientists: For training and testing predictive models for short-term cryptocurrency forecasting.
- Academics: For research into market microstructure and volatility dynamics in foreign exchange and currency markets.
- Visualisation Experts: To generate detailed charts and displays of high-frequency price and volume action.
Dataset Name Suggestions
- Cryptocurrency Minute-Level OHLCV Data 2020-2021
- Bitcoin, Ethereum, and Litecoin Timeseries Data
- High-Frequency Crypto Market Data (2020-2021)
Attributes
Original Data Source:Bitcoin, Ethereum, and Litecoin Timeseries Data
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