Euronext Paris yfinance Dataset (Enriched)

Clean and ready-to-use dataset of Euronext Paris equities, fully compatible with yfinance, enriched with market data and ICB classification.

Dataset

The file euronext_full_enriched.csv contains the following columns:

• symbol: base Euronext ticker
• yahoo_ticker: ticker compatible with Yahoo Finance / yfinance (e.g. AIR.PA)
• isin: unique security identifier
• name: company name
• market: listing market (e.g. Euronext Paris)
• market_cap: market capitalization (when available)

ICB classification (Industry Classification Benchmark)

• icb_industry: high-level industry group
• icb_supersector: supersector classification
• icb_sector: sector classification
• icb_subsector: detailed subsector classification

Usage

import pandas as pd
import yfinance as yf

df = pd.read_csv("euronext_full_enriched.csv")

tickers = df["yahoo_ticker"].dropna().unique().tolist()

data = yf.download(tickers[:10], period="1y", interval="1d")

Use cases

Stock screening (by sector, industry, market cap, etc.) Factor research and quantitative analysis Backtesting strategies on Euronext Paris equities Portfolio construction & diversification studies Financial data analysis in Python

Methodology

Scraped official Euronext listings Filtered French-listed equities (ISIN starting with FR) Mapped tickers to Yahoo Finance format (.PA) Validated tickers using yfinance price availability Enriched dataset with: Market capitalization ICB classification (industry → subsector) Company names and ISIN mapping

Notes

Some fields (notably market_cap) may be missing or partially outdated due to Yahoo Finance limitations All tickers are validated against live data availability in yfinance Dataset is focused on Euronext Paris (.PA) listings only

Requirements

Python 3.x pandas yfinance

pip install pandas yfinance

Disclaimer

This dataset is provided for informational and research purposes only. It does not constitute financial or investment advice.