About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Sybase and QuantHouse Team On Algorithmic Trading Strategies

Subscribe to our newsletter

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.
 

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Optimising cloud, marketplaces & managed data services

Date: 30 June 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Financial institutions are under mounting pressure to rethink how they source, manage and distribute market data. Rising data volumes, multi-cloud adoption and the operational demands of regulations such as DORA are exposing the limits of legacy infrastructure, and driving...

BLOG

Prediction Markets Push for Institutional Credibility as ARK Invest Signs on with Kalshi

Prediction market operator Kalshi has signed a collaboration with ARK Invest, the latest in a series of moves designed to position prediction market data as a legitimate input for institutional investment workflows. The partnership, announced in late March, will see ARK request and monitor event contracts on the Kalshi platform, evaluating whether the probability signals...

EVENT

TradingTech Summit New York

Our TradingTech Summit in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...