SKYLER, FIXNETIX INTEGRATE MARKET DATA SOLUTIONS

 

Posted January 21, 2009

 

LONDON – Market data analytics provider Skyler Technology Inc. and market data and trading infrastructure connectivity provider Fixnetix have integrated their low-latency market data solutions to deliver Europe’s first ultra-low- latency, direct, best-bid-and-offer (BBO) feed with full-depth liquidity discovery service.

 

Fixnetix and Skyler jointly offer a hosted market data aggregation solution to help customers to more efficiently navigate Europe’s increasingly fragmented liquidity landscape. The solution aggregates Level I and Level II market data feeds from the various exchanges and MTFs into a European consolidated tape and quote feed as well as an aggregated full depth order book feed.

 

“Both buy- and sell-side firms urgently require this aggregated and consolidated view to power their Pan-European trading activities,” says Valerie Bannert-Thurner, Managing Director of Skyler Europe. “Our clients will benefit not only from a fast solution, but also a very flexible and smart aggregation capability which takes advantage of the rich features set of the Skyler C3 Aggregation solutions.”

 

The aggregated consolidated tape, quote, and liquidity feeds will be used by buy- and sell-side firms to establish a new benchmark for Pan-European trading activities. It will provide insights into where trades are being executed in a comprehensive manner, where the best prices can be found, and where the liquidity resides.

 

“With the increasing liquidity fragmentation and the need to comply with the MiFID regulations in the European market, we’re seeing an escalating demand for fast and flexible aggregated trade, quote, and order-book solutions,” says Hugh Hughes, CEO and Chairman of Fixnetix. “We are committed to delivering the best possible solution to our customers. The combination of our ultra low latency market data, direct connectivity and Skyler’s market data analytics will prove a powerful offering for today’s market.”

 

   
     

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