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Commodities Data | Pricing

Commodities EoD Historical Data

Time series data for analysing historical patterns, trend movements related commodity market context.

  1. Key facts
  2. Overview
  3. Description
  4. Access
  5. All categories
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Key facts for Commodities EoD Historical Data

Coverage metric

Geography:
North America, Asia / Pacific, EMEA, Latin America and the Caribbean
History:
Metals Data from 1950; Oil data from 1983; Agricultural data from 1973
Coverage count:
Asset Classes - 35000000 RICs
Asset Class
Commodity Spots, Commodity Fair Values, Commodity Derivatives, Commodity Forwards, Commodities

Delivery metadata

Data Frequency
Real‑Time
Language
English (United Kingdom)
Delivery methods:
Excel, Deployed/Onsite Servers, API, Web Service, SFTP, Cloud, Desktop, FTP, Bulk, Website, Digital Files
Data formats:
CSV, GZIP, JSON, Delimited, Metafile Picture, Text, Bitmap, PCAP, Zip Archive, PDF, XML, Python, HTML, MPEG, User Interface
Minimum service frequency
Real‑Time

Overview of Commodities EoD Historical Data

MULTI-SECTOR HISTORICAL DATA

Structured coverage across nine commodity

  • Includes weather, shipping, power, oil, metals, gas and coal markets
  • Adds carbon and agriculture datasets for wider market context
  • Captures historical EoD pricing to support consistent analysis
HISTORICAL MARKET COVERAGE

End-of-day commodity pricing across sectors

  • Historical EoD prices spanning weather, shipping, power, oil and metals
  • Covers gas, coal, carbon and agriculture market segments
  • Supports cross-commodity analysis using consistent price histories
STRENGTHEN LONG-TERM MARKET ANALYSIS

Support informed benchmarking and valuation

  • Assess market movements and valuation trends across commodity sectors
  • Benchmark performance using historical commodity price records
  • Understand relationships between markets over time

Description of the dataset

Provides end-of-day historical pricing data across global commodity markets, supporting analysis of market movements, valuation trends, and cross-commodity relationships over time. The dataset captures historical market prices for major commodity segments, enabling consistent back testing, benchmarking, and long-term market analysis. The dataset brings together information covering Weather, Shipping, Power, Oil, Metals, Gas, Coal, Carbon, and Agriculture.

Accessing the dataset

This dataset can be used by the following products. Talk to us to learn more about different packages and offerings.

LDMS - LSEG Data Management Solution
Cloud-hosted data management and repository platform for commodities content. Supports loading and consolidation of LSEG, third-party, and proprietary data and delivers near-streaming and non-streaming datasets such as pricing, reference data, and fundamentals via a unified interface for integration and analysis.
  • Data formats:
    • XML, JSON, Text, Python, HTML
  • Delivery methods:
    • Excel, Web Service, API, Cloud, Desktop
  • Minimum service frequency:
    • Two times a day
  • Service Frequency Description:
    • Twice daily

All categories

Full list of all categories