BITCOIN-PRICE — Daily CSV Download (Bitcoin Price in USD)
Bitcoin is the most liquid and widely traded cryptocurrency, increasingly viewed by institutional investors as a macro asset correlated with global liquidity conditions. This dataset provides daily closing prices in USD over the trailing 12 months, updated daily. For macro-financial analysis, Bitcoin’s correlation with net liquidity, real rates, and risk appetite makes it a useful regime indicator — not a trading signal.
Dataset: Bitcoin Price in USD (Rolling 365 Days) · Updated 2026-05-12
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 net liquidity index and the S&P 500 helps situate this indicator within the broader macro regime.
Dataset Overview
| Indicator | Bitcoin Price in USD (Rolling 365 Days) |
|---|---|
| Geography | Global |
| Frequency | Daily |
| Period | Rolling 365 days |
| Variables | date, btc_price_usd |
| Format | CSV, Excel (XLSX) |
| Sources | CoinGecko API — Powered by CoinGecko |
| Last updated | — |
Dataset Variables
The CSV and Excel files contain the following columns.
| Column | Type | Description |
|---|---|---|
date | Date (YYYY-MM-DD) | Observation date |
btc_price_usd | Float | Bitcoin 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.
Direct CSV Access — Eco3min Structured Dataset
https://eco3min.fr/dataset/bitcoin-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/bitcoin-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/bitcoin-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 (market_chart endpoint, USD, daily interval). CoinGecko aggregates prices across major exchanges. The free API tier provides 365 days of history; the dataset is refreshed daily. 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
- Ethereum Price History — Second-largest cryptocurrency
- Net Liquidity Index — Key driver of crypto prices
- M2 Money Supply — Monetary backdrop for crypto
- S&P 500 Price Index — Risk asset comparison
Related Research
Macroeconomic Dataset Hub
This dataset is part of the Eco3min macro-financial data repository.
Explore the Eco3min Dataset Hub
Sources
- CoinGecko API — Powered by CoinGecko
Dataset Reference
Last updated — 12 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.