About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

News – Machine Readable – is in the News

Subscribe to our newsletter

The low-latency delivery of machine readable news – to drive trading algorithms before the market moves – is a continuing story in itself. So here’s a quick roundup of recent headlines, including news from Selerity, Deutsche Borse, RavenPack and Thomson Reuters …

* Selerity has installed an aggregation point of presence at Equinix’s Frankfurt data centre, where it will act as hub for European markets. The company is already based at Equinix’s New Jersey and Chicago facilities, but the Frankfurt installation will cut out transatlantic communications and so greatly reduce latency for European firms focusing on local markets.

* Deutsche Börse has added global treasury auction data to its AlphaFlash algorithmic news feed, providing key treasury auction data from 12 countries directly from the source. Those countries are Australia, Austria, Belgium, Canada, Germany, Italy, New Zealand, Poland, Russia, Sweden, Switzerland and the UK.  United Kingdom. AlphaFlash has provided U.S. Treasury auction data since April 2010.

AlphaFlash is available at data centres located in Chicago, New Jersey, Washington D.C., Frankfurt, London, Sydney, Tokyo and Singapore.

* RavenPack is collaborating with TMX’s Datalinx unit to help trading firms detect trends for the Canadian markets. TSX/CP Equities News has been introduced to RavenPack’s offering, and combines market information from TMX Datalinx with reporting from The Canadian Press, a national news agency.

* Thomson Reuters has rolled out its Elektron managed content service at the National Stock Exchange of India’s co-lo centre in Mumbai. Among other content, it will provide l0w-latency access to machine readable news services. The driver for this rollout is the rapid growth of algorithmic trading in the country. Some analysts estimate that by the end of 2012, the levels of algorithmic cash equity trading in India will be more than 20% of the overall trading volumes in the Asia Pacific region.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Navigating the Build vs Buy Dilemma: Cloud Strategies for Accelerating Quantitative Research

For many quantitative trading firms and asset managers, building a self-provisioned historical market data environment remains one of the most time-consuming and resource-intensive steps in establishing a new research capability. Sourcing data, normalising symbologies, handling corporate actions and maintaining infrastructure can take months and absorb significant budget before a single model is tested. At the...

BLOG

Data Platform Modernisation: Why The Hardest Problems Are No Longer Technical

Capital markets firms pursuing data platform modernisation have largely solved the technical challenges of compute and storage, but the organisational, governance and architectural decisions surrounding those platforms remain stubbornly difficult, according to practitioners from Northern Trust, RBC Wealth Management and LSEG, speaking at a recent A-Team Group webinar entitled Data platform modernisation: Best practice approaches...

EVENT

TradingTech Summit New York

Our TradingTech Summit in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.

GUIDE

The Trading Regulations Handbook

Need to know all the essentials about the regulations impacting trading infrastructure? Welcome to the first edition of our A-Team Trading Regulations Handbook which provides all the essentials about regulations impacting trading operations, data and technology. A-Team’s Trading Regulations Handbook is a great way to see at-a-glance: All the regulations that are impacting trading technology...