CFN Services Launches Ultra Low Latency Network from Chicago to New York

Herndon, VA (PRWEB) February 16, 2009

CFN Services today announced it has launched a new Ultra Low Latency Network service from Chicago to New York. The new service offers customers secure low latency connectivity from 350 East Cermak in Chicago to 60 Hudson St. – NY; 275 Hartz Way – Secaucus, NJ; and 300 Boulevard East – Weehawken, NJ; establishing direct connections to increasingly fragmented sources of liquidity and market data information. CFN believes it has one of the lowest latency network routes between these two financial hubs ensuring reliable, low latency delivery of market data and order execution to maximize profits and minimize risk.

 

Time to market is critical in a competitive market. This Ultra Low Latency circuit can be ready for provisioning one week from the date of a signed contract. This allows trading firms to expedite their network diversity and expansion plans.

 

“Latency in the network is becoming a key variable for traders to differentiate themselves. Securing an Ultra Low Latency connection between Chicago and New York is providing many traders an opportunity to lower their existing latency on this route” states Wil Tirado, VP Engineering at CFN Services. “Working with an integrator such as CFN Services, trading firms have the option to customize their network design to provide competitive advantages. CFN Services also provides our clients with the option of an individualized lower latency migration plan ensuring they are continually decreasing their latency. No Service Provider offers such a guarantee.”

 

CFN Services specializes in the ability to design, build and implement the lowest latency fiber network available by identifying and utilizing optimal spans from all available carriers. This translates into a networking performance advantage for Electronic Trading Firms.

 

CFN Services, with their FiberSource


About The Author

Ibrar Ayyub

I am an experienced technical writer holding a Master's degree in computer science from BZU Multan, Pakistan University. With a background spanning various industries, particularly in home automation and engineering, I have honed my skills in crafting clear and concise content. Proficient in leveraging infographics and diagrams, I strive to simplify complex concepts for readers. My strength lies in thorough research and presenting information in a structured and logical format.

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