Joint WatRISQ and ICR seminar
Topic: high frequency trading: the war of the microsecond
Ben Bittrolff, MBA, Cyborg Trading Systems CFO
Peter Metford, Ph.D., Cyborg Trading Systems CTO
October 12, 2010
Davis Centre, Room 1304, University of Waterloo
Programmed algorithms now drive the majority of trades on US exchanges. Fueled by market data, successful algorithms are capable of complex event processing. To gain a competitive advantage they must be able to be flexible and capable of rapidly adapting to changing requirements, especially in highly volatile and stressed markets. They must also be resilient to unexpected disconnects. With millions of dollars flowing through these systems at any given time, this is mission critical software built to the same standards as medical and fight control systems.
At Cyborg Trading Systems, we have developed a trade automation toolset that is used by traders and institutions worldwide to successfully compete in the financial markets. We develop using C#, .NET 4.0 and round-trip UML modeling along with a deep focus in multi-threading, parallelization, componentization and aggressive refactoring. Quality is maintained through offline scenario testing with pre-recorded editable market data, as well as extensive live testing in real time. Internal patented dynamic data structures provide the enormous flexibility required to meet the diverse requirements of high frequency traders as they battle over microseconds.
- Introduction to high frequency algorithmic trading and its impact on the financial markets
- Solutions for proprietary traders and institutions
- Overview of the design, development and extensions of automated trading systems
- Career opportunities for programmers, financial engineers and quantitative analysts within this industry
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Waterloo, ON N2L 3G1