In the realm of commodity markets, weather observations are indispensable for gauging supply and demand impacts.
Temperature, degree days, precipitation, visibility, wind and solar radiation are a few meteorological factors that have the potential to impact energy, agriculture and other weather-sensitive instruments.
The ability to understand the effects of these forecast variables is crucial to traders, analysts and meteorologists. ICE’s proprietary technology offers its customers a solution that helps organize, quantify and digitize vast amounts of streaming weather and price data that is converted into actionable insights.
Specifications
Key Features
- Stream medium- and long-range weather forecasts from key government forecast models
- Very high spatial and temporal resolutions of all government forecast models
- 200+ weather forecast fields including Gas Weighted Degree Days, snow, wind, solar, soil moisture, liquid precipitation, temperatures, humidity, pressure, etc.
- 1,000+ global locations and 6,000+ locations ready to add upon request
- 30+ years of daily and hourly weather observations for all 200+ forecast fields and all locations
- Pre-calculated climatology for trailing 10, 15 and 30 years as well as the official 30 year
- Robust archive of weather forecasts which also include timestamps as to when these forecasts were available in the public domain
- Quality of service: Delivered via our robust API, ensuring seamless integration and near real-time access to market data.
Products
Buy-side and sell-side front offices continue to embrace more data and more technology in order to expand their opportunities and gain an edge over the competition. Enrich front office systems with ICE’s Data API solution, providing intraday access to fixed income pricing, on-demand analytics, reference data and more.
ICE Connect brings together access to cutting-edge trading tools with real-time cross-asset data, global news, and analytics all on one platform. Whatever your role, our platform can be tailored to your workflow for optimal efficiency.