BT Radianz says that ComStock, an Interactive Data business that provides real-time global market data, will use BT Radianz’s shared market infrastructure to expand access to its market data services to include PlusFeed, ComStock’s high-speed digital data feed, in both Europe and North America.
Banks, brokerages and money management firms use ComStock’s financial information in market data applications. Distribution through BT Radianz will enable ComStock to reach more than 10,000 counterparts already on the network.
“BT Radianz’s broad connectivity will make it easier and add a compelling reason for institutions to take ComStock’s PlusFeed,” says Mark Hepsworth, president, ComStock. “With the substantial increases in algorithmic trading and data volumes, the BT Radianz offering low latency, resilient, scalable, fully redundant, external connectivity becomes even more important. The continuing trend in algorithmic trading to move from directional to event-driven models has reinforced the need for a consolidated feed that offers both contributed and exchange-based low latency quotes, news and reference data. We deliver real-time data from over 350 sources and exchanges worldwide, covering more than 2,300,000 instruments.”
Kevin Covington, Head of Product Development at BT Radianz, says that algorithmic trading means fast, reliable access to market data is essential to the modern investment process. “With the growth of algorithmic trading and the new policies proposed by both MiFID and Reg NMS, achieving the lowest possible latency is a major industry issue our customers need to address,” he says. “We have constructed a network which is designed to facilitate fast, direct access for the distribution of this vital market information that will assist our customers both in their compliance with new market regulations and in maintaining the competitive edge.”
At a recent ComStock-hosted roundtable on the growth of algorithmic trading and its effect on market data feeds, one of the issues raised was the challenge of integrating market data into algorithmic trading applications, which are consistently varied and rewritten.