LONDON, UK – June 21, 2006 —Spirent Communications (NYSE: SPM; LSE: SPT), a worldwide provider of integrated performance analysis and service assurance systems for next-generation network technologies, announced the availability of Spirent MarketStress, a new tool that tests high-performance financial trading networks. Spirent MarketStress can generate 160,000 market data messages per second – a rate 10 times that of current NASDAQ data feeds – and trading rates of over 12,000 executions per second.
Spirent MarketStress is an easy-to-use load testing appliance that facilitates the analysis of capacity and latency of trading networks by simulating high volume transactions such as order flow and market data multicasts that are a part of today’s electronic trading environment. MarketStress provides an unprecedented degree of realism in trading activity with the customary order and execution types found in today’s market. It supports standard messaging protocols including Financial Information Exchange (FIX), and the marketdata protocols of the major stock exchanges.
“With the exponential growth of electronic transactions, developing and deploying networks to support this traffic remains a constant challenge,” said Zeus Kerravala, vice-president of infrastructure research at the Yankee Group. “Understanding how these networks will operate under heavy usage before deployment clearly takes the guesswork out of this process.”
MarketStress reduces testing time and gives network engineers more control over the testing process. With this ability to test networks prior to deployment, engineering costs and capital expenditures associated with deploying and upgrading trading systems to address continued growth are greatly reduced.
“The financial markets require networks to meet demanding performance and latency requirements with ever-increasing traffic,” said Alan Newman, director of product marketing, Spirent. “Sprient’s MarketStress offers the peace of mind that comes with testing new and upgraded trading networks in the safety of the lab instead of the production network.”