finance.foundation / Markets / London Metal Exchange
Market · XLME · United Kingdom
London Metal Exchange
The global reference venue for industrial metals, and the only major exchange still running open-outcry ring trading alongside its electronic book.
- MIC (ISO 10383)
- XLME
- Country
- United Kingdom
- Type
- Commodity exchange
- Trading currency
- USD
- Timezone
- Europe/London
- Operator
- London Metal Exchange
- Operator LEI
- 213800NB8G5VRT1DXC91 (GLEIF)
From GLEIF directly, not from the ISO 10383 registry. The registry leaves the LEI column empty for XLME, so unlike every other venue here this binding is ours rather than the registration authority's: it is the GLEIF record for THE LONDON METAL EXCHANGE, the entity the exchange's own rulebook names as the operator of the market.
Ownership
- Operating entity
- THE LONDON METAL EXCHANGE GB
213800NB8G5VRT1DXC91 - Ultimate owner
- HONG KONG EXCHANGES AND CLEARING LIMITED
213800YTVSXYQN17BW16 via GLEIF ultimate-parent relationship - Sibling venues
- Hong Kong Exchanges and Clearing — run by the same group
- Owner listed
- 388 on Hong Kong Exchanges and Clearing
Self-listed — its own shares trade on a market it operates. - Who holds it
- Widely held, with the Hong Kong SAR Government holding 6.17% for the account of the Exchange Fund and standing as an approved 'Minority Controller' since 7 September 2007; the only other disclosed 5%+ interest is JPMorgan Chase & Co. at 6.92%, mostly held as investment manager and lending agent.
Assets tied to this venue
Copper futures listed on · Aluminium traded on · Nickel traded on
Covered assets whose relationship to this venue is recorded in the dataset — an index calculated on it, or a contract listed on it. Companies listed here are in the table above; this is the non-equity side.
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/markets/lme
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/markets/lme
Python
import requests
r = requests.get("https://finance.foundation/api/v1/markets/lme", timeout=30)
r.raise_for_status()
data = r.json()
JavaScript
const r = await fetch("https://finance.foundation/api/v1/markets/lme");
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/markets/lme.csv")