The developer of a “global sensor network” based on social media is now working with Twitter to send out trading signals.

In a partnership with the micro-blogging platform Twitter, Dataminr said it has developed and is launching “an early warning system” for traders, based on tweets.

Using its own real-time analytics engine, Dataminr will process more than 340 million Twitter messages daily to detect linguistic and propagation patterns, it says. Those clues and signs of intent also can be merged with third-party data to detect events and perform analysis that is designed to give traders using the signals an edge.

“Twitter has fostered an entirely new form of real-time digital expression, which has created a truly global sensor network,” says Ted Bailey, founder and CEO of Dataminr. “On any given day, Dataminr alerts its clients to numerous relevant events that are either pre-news or off the mainstream radar. In recent days, our system surfaced emerging events including a natural disaster in Texas, government sanctions against a major international telecom, and an assassination attempt on Arab heads of state.”

The offering also identifies a number of “micro trends,” such as local on-the-ground chatter, consumer product reaction, conversation shifts in niche online communities and the growth and decay patters in public attention, the company said.

Rob Daly writes for Securities Technology Monitor.

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