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Asset · Index · Equity index

FTSE 100

Capitalization-weighted index of the 100 largest companies listed on the London Stock Exchange, launched in 1984. Its constituents earn a large share of revenue outside the UK, making it sensitive to sterling moves.

This asset is calculated on the venue linked above — a typed relationship in the dataset, not a name that happened to match. The parties named after it (FTSE Russell (index provider)) matter to how it trades but are not entities here.

No live level is shown for this asset: our open, keyless sources cover crypto, major FX crosses, the ECB policy rate, the US 10-year yield and US CPI — index levels and commodity prices are only available from licensed vendors, and we do not publish figures we cannot source openly. What we do carry.

Symbol
UKX
Type
Index
Category
Equity index
Quote currency
GBP
Primary venue
London Stock Exchange · also FTSE Russell (index provider)
Issuer
FTSE Russell (LSEG)
FIGI
BBG000HS1CN6 the index itself, not a fund that tracks it

Covered members

Shell · HSBC · AstraZeneca · Unilever · BP · Rio Tinto · Rolls-Royce

Members within the covered company set — a subset of the index, not the full constituent list, and not weighted. Index membership as of Q2 2026 (seed-0.7 · marketcap-1 · 2026-08-30), from each index provider’s published constituent list; constituents change at scheduled reviews.

Approximate reference values from public sources · seed-0.7 · marketcap-1 · 2026-08-30 · not real-time. See data & methodology.

# this page as data GET https://finance.foundation/api/v1/assets/ftse-100

JSONCSV No key, CORS enabled — paste any of these straight into a notebook.

Code to fetch it
curl
curl -s https://finance.foundation/api/v1/assets/ftse-100
Python
import requests r = requests.get("https://finance.foundation/api/v1/assets/ftse-100", timeout=30) r.raise_for_status() data = r.json()
JavaScript
const r = await fetch("https://finance.foundation/api/v1/assets/ftse-100"); if (!r.ok) throw new Error(r.status); const data = await r.json();
pandas
import pandas as pd df = pd.read_csv("https://finance.foundation/api/v1/assets/ftse-100.csv")