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BNP Paribas to Use Reuters Tick Capture Engine for Fixed Income Algorithmic Trading

BNP Paribas is rolling out Reuters Tick Capture Engine (RTCE), a solution designed for customers building algorithmic trading infrastructures that is powered by Microsoft partner Vhayu Technologies. BNP Paribas will use the product for quantitative research and real-time trading analytics on global fixed income markets starting in London and New York.

BNP Paribas will use RTCE to analyze fixed income markets in real-time for trading opportunities and publish trading analytics to auto-trading applications and traders over Reuters Market Data System. Integrated with Reuters and BNP Paribas price generator software and market adaptors, RTCE also collects and stores real-time tick-by-tick market data for quantitative research and fixed income pricing at BNP Paribas.

“We have aggressive plans to maintain our leadership position by applying sophisticated modeling and analysis to value fixed income products, uncover trading opportunities and widen our adoption of electronic fixed income trading,” said Xavier Pujos, deputy chief operating officer, BNP Paribas fixed income. “Reuters Tick Capture Engine is an important component of those plans enabling us to persist intra-day market data and model new trading strategies using RTCE's high performance analytics engine."

RTCE is fully integrated with Reuters Market Data System (RMDS) and Reuters content including Reuters DataScope tick history for 10 years of cross asset, tick-by-tick data. RTCE runs on the powerful and scalable Intel Xeon processor-based server platform.

Reuters global business director for BNP Paribas Emmanuel Colson credited the product’s flexibility, both in terms of working with content and in terms of integration with other solutions as a key factor in swaying BNP Paribas.

“The key to winning this business was the openness of the Reuters Tick Capture Engine for content, analytics and publishing, as well as pre-integrated support for key tools such as Microsoft Excel, Matlab and S-Plus,” he said. “Of course performance, reliability and integration with Open DACS, to prevent data infringements, were non-negotiable as well.”

RTCE was first launched in the summer of 2005, and allows the capture and analysis of high speed streaming content across multiple market venues, as well as building a historical view for detailed analysis and back testing of algorithmic strategies.

 
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