Overview

This page provides you with access to example use cases to power financial workflows using Refinitiv APIs to access commodities content. On the right are a series of articles describing various use cases in detail complete with code examples, snippets, and samples, as well as full Jupyter notebooks and source code available on GitHub. At the bottom of the page, you will find links to related APIs, with Overview, Quick Start Guide, full Documentation, and Tutorials.

Accessing the right information at the right time and in the correct format makes all the difference between success and failure in the commodities trading complex. From oil storage levels in Cushing to the color of grains in the Black Sea region, every single data point adds a new layer of information to critical decision-making at global trading desks. Using fundamentals, supply and demand, vessel tracking, storage, and alternative data sources in a structured manner is what give one trader a competitive edge over another. Our powerful and easy-to-use APIs provide news, price and market data, research, mine production, costs curves, deposits, lease rates, forecasts, and polls to enable you to power financial workflows and quantitative models for pricing, backtesting trading strategies, pre and post trade, and risk analysis and the like using our powerful set of APIs and Feeds, available via desktop solutions, software development kits (SDKs) and enterprise level APIs where redistribution of content is required. Our web APIs provide a broad range of language support, including Python, Typescript, .Net, and more, so you have unlimited integration options.