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Historical Ether Price and Volume Data

Crypto & Blockchain Transactions

Tags and Keywords

Ethereum

Bitcoin

Crypto

Finance

Market

Trusted By
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Historical Ether Price and Volume Data Dataset on Opendatabay data marketplace

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About

This collection of historical market metrics tracks the performance of Ethereum, detailing its evolution from March 2016 through to March 2023. Ethereum functions as a global, blockchain-based software platform that facilitates sending and receiving value using its native cryptocurrency, Ether, without relying on external third parties. Initially proposed in 2013, the platform was conceived to expand cryptocurrency utility by supporting the creation of decentralized applications, known as dapps. These applications are self-executing, relying on smart contracts—code-based programmes stored on the Ethereum blockchain that automatically fulfil defined functions when certain conditions are met, such as processing a transaction or loaning funds.

Columns

  • Date: Represents the specific date corresponding to the price and volume metrics. The dates span daily entries from 10 March 2016 to 8 March 2023.
  • Price: The closing price of Ethereum on the given date, measured in USD.
  • Open: The opening price of Ethereum for the trading day.
  • High: Records the highest price Ethereum reached during the trading day.
  • Low: Records the lowest price Ethereum reached during the trading day.
  • Vol.: The total trading volume for Ethereum on the given date.
  • Change %: The percentage change in Ethereum's price over the trading period.

Distribution

The data is contained within a single file named ethereum_price.csv, which has a size of 182.09 kB and includes 7 metrics columns. The record count is 2555 for all major price and date fields, covering a daily timeline. The data quality is high, with 100% validity across key columns, indicating zero mismatched or missing values. For the Price column, the minimum value is 6.70 and the maximum is approximately 4.81 thousand, with a mean price of 893.

Usage

This material is primarily suited for regression tasks, suggesting its utility in predictive modelling and forecasting. Ideal applications include training machine learning models (such as those utilising the sklearn library) to predict future Ethereum prices, analyzing historical volatility, back-testing cryptocurrency trading strategies, and understanding the market impact of major historical events within the 2016–2023 timeframe.

Coverage

The data covers the global market performance of Ethereum. The time scope extends from 10 March 2016 up to 8 March 2023. There are no anticipated updates, as the expected update frequency is 'Never'.

License

CC0: Public Domain

Who Can Use It

  • Financial Analysts: For conducting historical performance reviews and trend analysis in the cryptocurrency sector.
  • Data Scientists: For developing and testing price prediction models (Regression classification).
  • Economists: For studying the economic behaviour of decentralized digital assets compared to traditional currencies and foreign exchange markets.
  • Developers: For building market analysis tools and dashboards based on verified historical metrics.

Dataset Name Suggestions

  1. Ethereum Daily Market Metrics (2016–2023)
  2. Historical Ether Price and Volume Data
  3. Cryptocurrency Regression Data: Ethereum
  4. Ethereum Market Activity Archive

Attributes

Listing Stats

VIEWS

5

DOWNLOADS

1

LISTED

29/11/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

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Free

Download Dataset in CSV Format