Independent Private Investment Firm Chooses Aleri for Performance and Execution Capabilities
CHICAGO, January 14, 2010 - Aleri Inc., a leading provider of enterprise-class complex event processing (CEP) technology and CEP-based solutions, today announced that Quant Capital, an independent private investment firm focused on sophisticated algorithmic trading strategies, has deployed Aleri’s CEP technology to maximize performance in equities trading and achieve consistent low latency.
“Given today’s highly changing, fast-paced environment, it is imperative to employ real-time, rapid response technology solutions that allow us to meet the growing demands of today’s market and focus on what we do best, which is delivering quantitative investment strategies,” said Richard Schuhmertl, CEO of Quant Capital Ltd. “In addition to speaking to a number of Aleri’s satisfied customers, we selected them for their powerful CEP engine and performance capabilities as well as added benefits like their visual optimization features.”
“We are thrilled that Quant Capital has selected Aleri’s CEP platform to support its investment strategy in the equities market,” said Don DeLoach, CEO and President of Aleri. “The volatility and fragmentation of today’s markets present new trading challenges and Aleri’s low-latency platform helps address these issues through rapid implementation of new algorithms.”
Aleri provides an efficient way of translating trading or order routing strategies into algorithmic trading solutions. The Aleri CEP platform provides visual modeling tools that allow trading firms to easily define the data flow, operations and computations that need to be performed against orders and market data for low latency execution. Algorithms can be implemented in hours or days, rather than traditional development cycles that take months, and they can be quickly deployed into production since they are implemented on a proven, robust platform.
ABOUT QUANT CAPITAL
Quant Capital Ltd. is an independent private investment firm headquartered in London with offices in New York and in Vienna. The company allocates the majority of its resources towards developing and implementing quantitative alpha-seeking models and execution systems.
Extensive quantitative research and systematic algorithmic modeling is the central focus of the firm's activities in order to identify market anomalies and to develop portfolio structure and risk modeling systems, and to optimize transaction costs and impacts for multi-asset class executions.