Quant Capital: Aleri CEP Technology Deployed For Algorithmic Trading

Aleri Inc., a provider of enterprise class complex event processing (CEP) technology and CEP based solutions, announced that Quant Capital, an independent private investment firm focused on sophisticated algorithmic trading strategies, has deployed Aleris CEP technology to maximize performance in

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Aleri Inc., a provider of enterprise-class complex event processing (CEP) technology and CEP-based solutions, announced that Quant Capital, an independent private investment firm focused on sophisticated algorithmic trading strategies, has deployed Aleris CEP technology to maximize performance in equities trading and achieve consistent low latency.

Given todays 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 todays market and focus on what we do best, which is delivering quantitative investment strategies, says Richard Schuhmertl, CEO of Quant Capital Ltd. In addition to speaking to a number of Aleris 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 Aleris CEP platform to support its investment strategy in the equities market, says Don DeLoach, CEO and President of Aleri. The volatility and fragmentation of todays markets present new trading challenges and Aleris 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.

D.C.

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