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Sybase and QuantHouse Team On Algorithmic Trading Strategies

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Sybase and QuantHouse have formed a strategic alliance to jointly deliver a solution for back testing and regression testing for algorithmic trading strategies. The solution will enable financial services organizations to manage back testing on virtually any set of real-time and historic market data, the partners say. Central to this offering will be the ability for the firms to increase competitive position in the market and continue to see ROI at a low total cost of ownership. “QuantHouse already offers end to end program trading solutions including trading strategies development frameworks, low latency data feeds and feed handlers, and back testing is pivotal to all these offerings,” says Stephane Leroy, head of global sales and marketing at QuantHouse. “We surveyed the market and decided to take the concept to Sybase, who we felt had good technology that would enable us to deliver this solution to market fast.”

Using Sybase IQ analytics server, QuantHouse will deliver a solution to enable back testing on demand with full access to resources, including market replay servers and a market data repository. This will enable algorithmic/quantitative back testing trading strategies that are central to financial institutions using program trading technologies.

Together, Sybase and QuantHouse’s solutions for low latency market data, fiber optic networks and engines will deliver these strategies to the market. “We still live in a world that is screen-based trading orientated, where as soon as market data is seen it disappears,” continues Leroy. “The next phase of this is a quantum gap involving the storing and back testing of this information, so all of a sudden market data is very important and in the case of historical data also very complex. This is often too expensive and complicated for companies to manage on their own, so now they can outsource it to QuantHouse/ Sybase and get the best of the best on demand.”

The market is becoming increasingly demanding, reckons Gavin Quinn, business development manager at Sybase. “With the number of messages going up, latency is coming down, markets are getting bigger and more sophisticated traders/companies need applications that can better handle data storage, aggregation and complex testing,” he says. “Both companies have been independently specialising our part of the offering, so to degrees the two services could essentially plug in together and it was relatively easy to integrate the offerings.” “Our partnership with Sybase allows us to deliver the fast competitive enterprise solution that we had in mind,” adds Leroy. “Partnering with Sybase is a sign to the market of the excellence and leadership vision of QuantHouse and it’ll allow our clients to get ahead of the market where their competitors may take a lot longer to develop similar value added solutions.”

Separately, QIM, a US-based quantitative hedge fund, has selected QuantHouse to provide its feed handler technology together with its multi-asset class trading strategies development framework, QuantFactory.
 

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