ETHEREUM-PRICE — Daily CSV Download (Ethereum Price in USD)

Ethereum is the second-largest cryptocurrency by market capitalization and the backbone of decentralized finance (DeFi) and smart contract infrastructure. Its price dynamics differ from Bitcoin’s — more sensitive to network activity, gas fees, and DeFi cycles. This dataset provides daily USD prices over the trailing 12 months.

Dataset: Ethereum Price in USD (Rolling 365 Days) · Updated 2026-05-09

Latest Value
2,311.67 USD
May 9, 2026
Historical Percentile
21.1th
Below average
Historical Average
3,057.02 USD
365 observations
Historical Range
HIGH
4,829.23 USD
Aug 23, 2025
LOW
1,820.57 USD
Feb 6, 2026

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Macro Takeaway

This indicator is a key component of the macro-financial monitoring framework. Its current level relative to its historical distribution — captured in the percentile and z-score above — provides immediate context for whether conditions are historically normal, stretched, or compressed.

Cross-referencing with the Bitcoin price and the net liquidity index helps situate this indicator within the broader macro regime.


Dataset Overview

IndicatorEthereum Price in USD (Rolling 365 Days)
GeographyGlobal
FrequencyDaily
PeriodRolling 365 days
Variablesdate, eth_price_usd
FormatCSV, Excel (XLSX)
SourcesCoinGecko API — Powered by CoinGecko
Last updated

Dataset Variables

The CSV and Excel files contain the following columns.

ColumnTypeDescription
dateDate (YYYY-MM-DD)Observation date
eth_price_usdFloatEthereum price in USD (daily close)

Column names match the CSV headers exactly.


Download the Complete Dataset

The full dataset is available in CSV and Excel formats.

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Direct CSV Access — Eco3min Structured Dataset

https://eco3min.fr/dataset/ethereum-price.csv

This URL returns the complete dataset in CSV format. It can be used directly in pandas, R, curl, or any data tool.


Using the Dataset in Python

import pandas as pd

url = "https://eco3min.fr/dataset/ethereum-price.csv"
df = pd.read_csv(url, parse_dates=["date"])

print(df.head())
print(df.describe())

Using the Dataset in R

library(readr)

url <- "https://eco3min.fr/dataset/ethereum-price.csv"
df <- read_csv(url)

head(df)
summary(df)

Both examples load the dataset directly from the URL — no download or API key required.


Methodology

Daily closing prices from CoinGecko API. Aggregated across major exchanges. Attribution: Powered by CoinGecko.

This dataset is updated automatically via the Eco3min data pipeline.


Historical Regimes

Historical regime analysis for this dataset will be added in a future update. The key stats block above provides immediate context for the current reading relative to the full historical distribution.


Related Macroeconomic Datasets


Macroeconomic Dataset Hub

This dataset is part of the Eco3min macro-financial data repository.

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Sources

  • CoinGecko API — Powered by CoinGecko

Dataset Reference

Last updated — 9 May 2026

Disclaimer – Financial Information: The analyses, commentary, and content published on eco3min.fr are provided for informational and educational purposes only. They do not constitute investment advice or a solicitation to buy or sell financial instruments. Past performance is not indicative of future results. All investment decisions involve risk and are the sole responsibility of the reader.