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Historical Ether Price and Volume Data
Crypto & Blockchain Transactions
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About
The data offers a detailed longitudinal view of Ethereum's market performance from 2016 through mid-2022. It captures the essential daily metrics required for serious financial analysis, including price action, volatility, and trading volume. Ethereum utilises a sophisticated decentralised virtual machine (EVM) capable of executing Turing-complete scripts, and understanding its market movement is crucial for researchers studying decentralised finance (DeFi) and blockchain economics.
Columns
- Date: The calendar date for the specific daily interval.
- Price: The closing price of Ethereum for that trading day.
- Open: The starting price at the beginning of the day.
- High: The maximum price achieved during the trading day.
- Low: The minimum price reached during the trading day.
- Vol.: The recorded trading volume, noted in millions.
- Change %: The percentage change observed in price over the 24-hour period.
Distribution
The information is available in a structured file format, conventionally a CSV. The dataset comprises 2,335 records, each representing one daily interval. It includes 7 distinct data fields, ensuring clarity and consistency across the historical timeline.
Usage
This data is perfectly suited for several high-level applications, including:
- Developing and evaluating linear regression models for price prediction.
- In-depth data visualisation of long-term cryptocurrency trends.
- Designing and back-testing quantitative trading algorithms.
- Academic research into the volatility and market behaviour of leading cryptocurrencies.
Coverage
The data collection period begins in March 2016 and concludes in July 2022, capturing the crucial early growth and subsequent major cycles of the Ethereum market. The coverage relates to selected global exchanges providing Ether pricing and volume data at 1-Day intervals.
License
CC0: Public Domain
Who Can Use It
- Quantitative Analysts: For rigorous time-series analysis and forecasting studies.
- Fintech Developers: To train machine learning models for market insight generation.
- Students and Academics: For educational projects or research papers focusing on digital asset economics.
- Day Traders and Portfolio Managers: Seeking verified historical data to inform investment decisions.
Dataset Name Suggestions
- Ethereum Daily Market History (2016-2022)
- Historical Ether Price and Volume Data
- ETH Selected Exchange Daily Rates
- Ethereum Blockchain Market Data
Attributes
Original Data Source:Historical Ether Price and Volume Data
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