Energy and commodities data

Energy and commodities data covers how energy and raw materials are produced, moved, priced and consumed. Traders, utilities, asset owners, investors, industrial buyers and policy analysts use it to forecast prices, value assets, plan procurement and track the energy transition.

What the sub-categories cover

• Power and electricity data: wholesale prices, load, generation by fuel, interconnector flows and grid constraints.
• Oil and gas data: wells, production, pipelines, storage, refinery activity and flows.
• Renewable energy data: solar and wind assets, project pipelines, capacity and output.
• Commodity prices: settlement, spot and assessed prices for energy, metals and agricultural products.
• Metals and mining data: mines, ownership, production, reserves and costs.

How to choose

Short-term trading needs high-frequency fundamentals and prices with low latency, plus a clean point-in-time history for backtesting. Investment and strategy work needs asset-level data, ownership and project pipelines with longer history. Procurement teams usually need reliable price benchmarks and forward curves for the markets they buy in.

Sources and pricing

Much fundamental data starts with system operators, exchanges and regulators, which publish market and grid data under their own terms. Providers add value by cleaning it, standardising time zones and identifiers, filling gaps and adding modelled estimates or forecasts. Licences are usually annual or monthly, priced by markets, history, latency and number of users. Exchange-originated prices often carry separate fees.

Before you buy

• Check that timestamps and time zones are consistent across markets.
• Ask which values are measured, reported or modelled.
• Confirm how revisions are handled and whether history is point-in-time.
• Review any exchange or benchmark licensing that sits on top of the provider's fee.