QuIC Financial Technologies is boosting performance metrics for the company’s Integrated Market and Credit Risk solutions as a result of incorporating new technologies from Intel and DataSynapse.
By running the Quad-Core 5400 series processors on GridServer software from DataSynapse, QuIC’s Unified Market and Credit Risk Solution has achieved extremely fast calculation time. The portfolio benchmark which included Credit Derivatives, Interest Rate Derivatives, Equity Derivatives and FX Options was calculated within 40 minutes. In addition, performance metrics based on accuracy, reliability and interoperability were improved, resulting in more flexibility and lower costs for risk managers.
FasterMARKETDATA, held 28 April in London, covered the subject of market data from top to bottom and looked at today’s approaches and tomorrow’s options.
Whether it be pre trade analytics & market risk, or post trade reporting – within financial enterprise the essential lubricant is market data – and there is more and more of it.
In the front office, be it buy or sell side velocity and low latency delivery from the venue sources is critical - and ability to receive and manage data is now the key competitive issue. Middle and back office analytics and comprehensive reporting across massive data sets is the challenge.
Where challenges exist in financial services technology solutions abound, and this space is already crowded with various approaches encompassing proximity, networks, distribution systems, feed handlers and proprietary and mainstream processor platforms from Intel.
Click on the links below to listen to the keynote speakers from the day.
As the life blood of trading, market data has a direct symbiosis with the latency, DMA, algo trading and liquidity races playing out.
This agenda was made up with dare one say veterans of the market data space – all with fascinating perspectives on the subject in hand – how to publish and consume market data faster.
Mark Reeceof the London Stock Exchange discussed how the exchange has seen a direct empirical correlation between the tap speed with which they publish ands the volume of trades – all pointing, obviously, to the automated environment we are now in. Mark discussed InfoLECT and TradeELECT, the exchanges core systems which are being optimised to IA (Intel Architectures) multi core technologies in the fasterLAB in London.
Peter Lankfordof STAC Research brought the audience up to speed with developments to create industry standard performance tests for market data work loads – allegedly in demand from both vendor and consumer and poised to assist technology selection for market data solutions and competitive services.
Rolf Anderssonof Pantor took a detail look at market data technology and how to engineer for optimum performance. As development partners of FIX Protocol Limited’s FAST – Pantor are in the inner circle of innovation in this space acknowledged by the market and by Intel who work closely to ensure silicon and sw are closely aligned.
The panel then elaborated further –Steve Gleaveof Endace discussed the advances of the latency measurement market,Paul Kellyof FIXNetix emphasised the now acknowledged importance of proximity to shorten the legs between publishing, routing and execution.Paul Gow, working from experience at the coalface (and especially with RMDS in the fasterLAB) of market data distribution systems discussed the practicalities for firms in keeping up with the volume and speed requirements of market data – andScott Kennedy– Thomson Reuters contrasted with the significant investments and vision the traditional market leader looks to bring to the discipline.Stephane Leroyof Quanthouse added the perspective of a specialist firm with technology capability right across the market data life cycle from leaving exchange to injection to trade analytics.John Oddierepresenting Celoxica discussed how FPGA accelerators, traditionally seen as proprietary fringe technologies were now being designed into solution topographies which mixed niche and mainstream established technologies.
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