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Algorithmic Trading

Rapidly Implement Strategies for:

The speed, volatility and fragmentation of today’s markets present new challenges for trading automation. An increasing amount of trading is being handled programmatically, whether it’s a quantitative trading strategy that capitalizes on market opportunities, an execution algorithm to handle block trades efficiently, or an order routing application that determines where to send an order based on current market conditions. These automated trading applications have to deliver against a demanding set of criteria:

RAPID DEVELOPMENT
Traditionally, analysts have relied on programmers skilled in building real-time applications in C++ or Java to translate trading strategies into application code. However, by the time the development and testing processes are complete, significant opportunity may have passed—and the underlying trading strategy may have already changed. Over and over, our customers tell us: “We don’t have a shortage of ideas. We have a shortage of programmers to implement them.”

At Sybase, we recognize the need for a more efficient way of translating a trading or order routing strategy into an algorithmic trading solution. Our Complex Event Processing (CEP) platform allows you to work at the level of business rules, rather than application code. You can monitor and modify trading system logic using visual modeling tools that let you define the data flow, operations and computations to be performed. Algorithms can be implemented in hours or days, rather than months, and can be quickly deployed into production since they are implemented on a proven, robust platform. It adds a third choice to the buy vs build dilemma—allowing you to have the flexibility and tailored fit of a custom solution, with the lower cost and shorter implementation time of an off-the-shelf solution.

The powerful Sybase modeling tools and scripting language let you easily implement logic to:

Features include:



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