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Low Latency Blogs

As efforts to reduce data transmission latency begin to hit the speed of light barrier (the wireless networks being rolled out are pretty much the end game), attention is turning away from the speed of trade execution and towards the speed of trade construction and optimisation – decision latency as some call it. Addressing decision latency has moved the performance focus to within the data centre, and how to squeeze the maximum from servers, typically configured as tightly coupled clusters, running application code designed to take advantage of parallel processing.

As firms look beyond latency to improve trading and risk strategies, on-demand agility is coming into the picture, offering the ability to model and test strategies in accelerated time throughout the trading day. Last week’s A-Team Group Intelligent Trading Summit in New York considered the issues of on-demand agility and how it can be achieved in a panel discussion led by A-Team Group conference chair Pete Harris. Harris was joined by experts from IBM, Kaazing, Datawatch and Xenomorph, who provided examples of their work across the industry and discussed how technology platforms need to evolve to support agile trading.

Trading firms are looking to leverage hosted and managed services to improve business agility and reduce cost, but with these benefits come challenges. Last Week’s A-Team Group Intelligent Trading Summit in New York addressed the pros and cons of outsourcing in a panel discussion led by A-Team Group conference chair Pete Harris, who was joined by experts from Fidessa and SAP.

By Michael Mayhew, chairman and director of research, Integrity Research Associates

Last week, at A-Team Group’s Intelligent Trading Summit held in New York City, I moderated an insightful panel on the growing use of big data and data driven analytics in the buy-side research process. The panel of experts discussed a number of interesting topics including what they see as the future for ‘big data’ on Wall Street.

Intelligent trading architecture is emerging as technology developments support a move beyond trading systems based purely on speed and allow a focus on fast yet more intelligent solutions. The challenges and opportunities of implementing an intelligent trading architecture were discussed at last week’s A-Team Group Intelligent Trading Summit in New York, where conference chair Pete Harris was joined by experts from OneMarketData, Tibco Software and Quartet Financial Systems.

Citihub Consulting has opened a Zurich office in response to local demand for its IT advisory services. The office adds to established bases in London, New York, Hong Kong, Singapore and Toronto, and is part of the firm’s commitment to support clients in key financial centres around the world.

With many trading firms approaching the physical limits of low-latency technology, the time has come to look at improving other areas of the trading process to more effectively and intelligently operate in the electronic marketplace. Speaking at last week’s A-Team Group Intelligent Trading Summit (formerly the Low Latency Summit) in New York, Alessandro Petroni, senior principle architect for Tibco Software proposed that we not only focus on trading faster, but also on trading smarter.

Infront, the leading provider of real-time market data, news and analytics, has released a major upgrade to its market data terminal offering. The upgrade makes the performance, coverage and ease of use associated with modern premium market data terminals available at highly competitive rates, with pricing based on usage rather than over-dimensioned packages.

As we put the last-minute touches on our agenda for next week’s Intelligent Trading Summit in New York – register here if you haven’t already – we continue to canvass the marketplace on what makes a trading platform intelligent. Part of the story, we are finding, is in approach to design. And the message we are hearing is that after a decade of polarisation in the build vs. buy debate, there is emerging a Third Way.