White Papers Making more of data using AI | Page 3
Data Management
A ComTech Advisory Whitepaper
“DataGenic is bringing to market a new product – Genic DATAiQ
–
a cross-platform, cross-device web application for monitoring and
analyzing front office trading data in real time. The product is
designed to be intelligent offering users improved market
awareness with AI and CEP enhanced data processing techniques
such as semantic interpretation of news and reports that help to
identify key events and patterns, enabling a quick response. “
Introduction
Commodity traders now have access to a wide and increasing number of data sources and
significantly larger volumes of data of all types. New regulations such as REMIT, for example, that
are designed to increase market transparency and reduce possible market manipulation, ensure
that many more new types and sources of important data are now generally available. A recent
proprietary survey conducted by ComTech Advisory on behalf of DataGenic1 concluded that for
around half of those surveyed, the volume of data they have to deal with has almost doubled over
the last two-years. Commodity traders will need to cope with and manage, an ever-increasing
amount of data in the future.
Social media has also become a very popular medium over the last several years and arguably, it
is increasingly a relatively untapped source of potentially useful intelligence for commodity and
other traders. Social media outlets such as Twitter2 and the blogosphere are increasingly being
utilized in other asset classes to provide traders with trading indicators and sentiment analysis.
However, can social media really have any value for commodity traders and how are useful signals
to be extracted from among all of the daily noise from such sources?
1
Data, Social Media and Artificial Intelligence, Proprietary survey for DataGenic, Commodity Technology Advisory, January 2014
2
See for example, ttps://nysetechnologies.nyx.com/en/sfti-social-media-tool
© Commodity Technology Advisory LLC, 2014
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