In the world of financial and energy trading, time is the most valuable commodity.
Our Commodity DataServer delivers a comprehensive, real-time solution for research,
analysis and trading that enables you to make the best decisions without delay.
Commodity DataServer contains daily (7 day), intraday, and tick data values from
over 280 sources available at a single location, along with a wide array of application
tools with which to extract and analyze the data.
The Commodity DataServer starts with our patented time-series database
— Historis — that enables lightning fast data storage and retrieval.
We then load the database with clean, reliable historical market data that has been
filtered through our Six Sigma quality assurance process. The result is complete,
end-to-end solution that enables you to quickly and easily perform the most advanced
research and analysis on the most comprehensive data set available.
Features and benefits of the Commodity DataServer include:
we run 3,400 quality assurance phases each week on
millions of data points — organizations can rest assured that all
their traders are using the same clean, reliable data.
Unmatched performance: proprietary time-series database technology provides
unlimited storage capacity and split-second retrieval speed.
Access to a complete set of analytic tools
that make it possible to give everyone
in your firm easy, controllable access to the data they need with minimal custom
programming or consultancy.
Unparalleled access to the breadth and volume of
energy and financial data from the
most reliable sources, located in one centralized warehouse.
A host of API interfaces.
Easy to understand, near-English query language that requires minimal
programming as well as instant answers to queries.
Data collection at rates exceeding thousands of ticks per second and
sufficient throughput to globally serve thousands of workstations simultaneously.
Ability to save research and be automatically notified when query conditions recur.
Event data files used to visualize the impact of historic events on a chart series.
See the Commodity DataServer's platform requirements.