Traders use our data to inform their trading decisions across multiple commodities and are referenced in contracts (in physical and derivatives).
Portfolio managers
Managers of funds that invest in commodities and energy stocks use our pricing data to manage their portfolios more effectively.
Quantitative analysts
Quants feed their AI models with our data to analyze financial markets, using historical data and forward curves.
Equity research
Equity research teams use our data to model revenue projections and earnings estimates - as well as understanding the impact on GDP and inflation.
Energy analysts
Energy analysts in financial services analyze pricing trends, supply and demand factors and market conditions using our data.
Risk managers
Risk managers use our historical data to understand price volatility to manage exposure in commodities markets.
Trusted by market leaders
“With geopolitical volatility and soaring energy prices, there is strong demand among investors for reliable, transparent commodity pricing data. Through GX, Bloomberg is delivering high quality oil spot data.”
Emilie Gallagher
Head of Commodities
Bloomberg
“As a leader in commodity data distribution, our partnership with General Index ensures we are responding to the market; providing critical information that is affordable to all our customers and their differentiated needs and requirements.”
Daily price assessments for European, US, Canadian, Middle Eastern and West African markets. Including Dated Brent, BFOE forwards, ICE HOU/CME NYMEX, Westridge, Dubai / Oman prices, Bony Light, Qua Iboa and more.
Daily benchmarks and forward curves for the North West European, Mediterranean, North American and Asian markets. Covering light distillate, middle distillate and gasoline markets.
Port-level delivered marine fuel prices for 500+ bunkering locations in Europe, North America, Africa, Middle East and Asia - based on a historic dataset of 40,000+ data points.
Access General Index data where it suits you. Whether it's on your terminal, via API, or using Python, our data is easy to integrate into modern data pipelines.
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