Datafeeds special report

imd-datafeeds-report-july2013

Click here to download the PDF

Feed Me, See More!

I remember it like yesterday: my first story about banks bypassing consolidated feed providers and deploying internal ticker plants to capture and process raw feeds of exchange data. It was May 2004, and the story assembled comments from Inside Market Data's New York conference, where a panel predicted more firms would consolidate their own feeds using technology from specialist ticker plant vendors.

Alas, many of those vendors-including CMS Webview, Infodyne and Wombat Financial Software-are now gone, swallowed up by larger vendors looking for an edge, or out of business after struggling to stay afloat in an increasingly competitive market. And as traditional data vendors realized the potential impact of being displaced by exchanges, they built or acquired low-latency technologies to keep pace with their clients' needs and to exploit opportunities to insert themselves into the low-latency data flow.

Back in 2004, data consolidators combated disintermediation by pointing out the value they added through normalization and data quality. Little did I realize that the seed planted by those first direct feed pioneers would become a Little Shop of Horrors of competition over microseconds, and battles to handle high-volume data microbursts and traffic peaks in the millions of messages per second.

Now, these processes can be performed in split seconds by feed handlers and switches, using hardware-accelerated processors initially deployed to handle rapidly-rising market data rates, but which can also be used to perform high-volume repetitive processes.

Certainly, consolidated feeds provide more visibility than direct feeds from single venues, even if not as fast. Ultimately, the value of consolidated feeds is less in the process of consolidation-which anyone can do, should their developers have nothing more important to do-and more in the sheer array of exchanges, over-the-counter sources and proprietary and third-party datasets they can combine and distribute by connecting once to the source, and making its content available to their entire client base, leveraging their economies of scale and pricing their services accordingly, rather than each client connecting to every source themselves. And the potential for a raft of new venues emerging in the form of swap execution facilities-which will trade traditionally low-frequency over-the-counter instruments on exchange-like platforms-could present a bigger connectivity burden for potential participants, and could grant consolidated feeds a new lease of life.

Click here to download the PDF

Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.

To access these options, along with all other subscription benefits, please contact info@waterstechnology.com or view our subscription options here: http://subscriptions.waterstechnology.com/subscribe

You are currently unable to copy this content. Please contact info@waterstechnology.com to find out more.

Northern Trust building internal cloud data ‘marketplace’

Using a mix of in-house expertise and third-party technologies, the firm has constructed a cloud-based data mesh that gives internal staff access to proprietary datasets and analytical tools to deliver greater insights into client activity.

Nasdaq reshuffles tech divisions post-Adenza

Adenza is now fully integrated into the exchange operator’s ecosystem, bringing opportunities for new business and a fresh perspective on how fintech fits into its strategy.

You need to sign in to use this feature. If you don’t have a WatersTechnology account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here