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Historical Bitcoin and Ethereum Financial Data
Crypto & Blockchain Transactions
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About
Five-year comparative look at Bitcoin and Ethereum, two leading digital currencies. These crypto-currencies operate on computer networks independent of central authorities like banks or governments, using a decentralised system to verify transactions. The data tracks key financial metrics, providing insights into the performance and valuation of these assets over a significant period.
Columns
- Date: The specific date for the recorded data, ranging from 14 November 2018 to 14 November 2023.
- Open: The opening price of the crypto-currency on the given date.
- High: The highest price the crypto-currency reached on the given date.
- Low: The lowest price the crypto-currency reached on the given date.
- Close: The closing price of the crypto-currency on the given date.
- Adj Close: The adjusted closing price, accounting for any corporate actions.
- Volume: The total number of units traded on the given date.
- Currency: The name of the crypto-currency (Bitcoin or Ethereum).
Distribution
The data is presented in a single CSV file named
ETH-BTC-USD.csv with a size of 327.18 kB. It contains 3,654 valid records across eight columns, with no missing or mismatched data reported. The dataset is expected to be updated daily.Usage
This data is ideal for financial analysis, market trend evaluation, and developing predictive models for crypto-currency prices. Researchers can use it to compare the volatility and performance of Bitcoin versus Ethereum. It is also suitable for creating historical price charts and other data visualisations to understand long-term market behaviour.
Coverage
The data spans a five-year period, from 14 November 2018 to 14 November 2023. It specifically covers two major crypto-currencies: Bitcoin and Ethereum. The financial figures are likely denominated in USD, though this is not explicitly stated.
License
CC0: Public Domain
Who Can Use It
- Financial Analysts: For conducting comparative market analysis and assessing investment opportunities in the crypto space.
- Data Scientists: To build and backtest trading algorithms and machine learning models for price prediction.
- Academic Researchers: For studying the economic properties and market dynamics of decentralised digital currencies.
- Investors and Traders: To inform their trading strategies based on historical price movements and volume data.
Dataset Name Suggestions
- Bitcoin vs. Ethereum: 5-Year Market Analysis
- Daily Crypto Prices: BTC and ETH (2018-2023)
- Historical Bitcoin and Ethereum Financial Data
- Crypto-currency Comparative Market Trends
Attributes
Original Data Source: Historical Bitcoin and Ethereum Financial Data
QUALITY