S&P Global Commodity Insights + Yes Energy

S&P Global Commodity Insights data partnership

Yes Energy’s partnership with S&P Global Commodity Insights gives our customers the ability to analyze current and forecast natural gas price data alongside the historical and current power market data we deliver through our analytics tool and data products.

S&P Global Commodity Insights' Americas Gas and Power dataset provides access to daily and monthly natural gas benchmark price assessments at over 200 locations throughout North America, market-reflective indices that illustrate daily gas volatility and regional price differentials, coverage of daily activity during bid week, assessments for several key bilateral trading locations in the North American power markets, spark spreads and marginal heat rate data, futures and derivatives, long-dated forwards, and datasets from ICE, NYMEX, and EIA. The dataset can help you to stay abreast of the ever-changing power and gas pricing environment, where variables such as fuel mix, regulation, weather, and supply and demand fundamentals can move the markets. 

Because we know that natural gas has a critical impact on power prices and trading decisions, if you subscribe to Yes Energy and one of the S&P Global Commodity Insights’ datasets that we support, you can access that data in Yes Energy for no additional charge. This allows you to quickly get comprehensive, up-to-date data directly from the powerful analytical tools you use to make the right decisions every day.

S&P Global Commodity Insights’ Americas Gas and Power dataset is valuable for… 

• Power Traders - Seamlessly visualize and gain valuable insights into the complex relationships between natural gas and power.

• Asset Managers – Plan the scheduling of your asset using S&P Global Commodity Insights’ next-day gas prices.

• Utilities - Understand the price dynamics between gas and power markets, which impacts the cost to service territory demand. 

• Data Scientists - Access comprehensive, historical daily gas prices to feed your models. Identify the correlation between gas prices and nodal power markets. 

Find out more in our partnership brief.