NYC Financial Services Seminar

Best Practices for Algo Trading & Risk Management in Turbulent Markets
Wednesday, September 26th, 2007
New York City, NY

About this Seminar

Algorithmic (algo) trading has radically changed trading patterns in capital markets. More and more financial institutions are embracing new technologies to execute sophisticated algorithms, however with recent market turbulence the related risk implications are often not carefully balanced and addressed. These scenarios could include the failure to halt an outdated algorithm that had been optimized for a particular market condition that no longer exists, or being over-exposed in a particular position resulting in excessive financial risk or loss.

Now is the time to understand the latest algo trading technologies and best practices for risk management. Sybase and StreamBase Systems invite you to an exclusive seminar to learn how to address growing trends and opportunities to ensure optimal low-latency processing and analysis of real-time financial data.

You will learn more about adopting the right technology mindset to ensure low-risk algo trading through an in-depth discussion on:

• Evaluating and responding to various risks of algo trading
• Strategies for real-time, low latency processing and analysis of market data at rates of up to hundreds of thousands of messages per second
• Strategies for coping with the increased volume of messages related to market data Performing sophisticated quantitative analytics on days, months, or years of tick data in a high- performance tick database
• The architecture components comprising an algo trading system including data cleansing, trading strategies, Profit & Loss, order management, execution strategy, and exchange interfaces.

Agenda & Location

Sybase Global Financial Solutions Center
Grace Building
1114 Ave. of Americas, 32nd floor
New York, New York 10036
(Midtown Manhattan, near 42nd and 6th)

Sign Up Today

To learn more about this exclusive seminar and to register, please email Sejal Mukerjee.