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

NYSE Technologies Looks to Open Source Data APIs; Wants Competitors To Partner

Subscribe to our newsletter

NYSE Technologies is planning to open source its messaging APIs, and hopes to attract other market participants – and competing data providers – to adopt them. The plan was outlined by Tony McManus, head of Enterprise Software at the exchange’s technology unit, speaking at a recent FutureDATA event in London.

The APIs in question are NYSE Technologies’ Middleware Agnostic Messaging API (MAMA) and the Middleware Agnostic Market Data API (MAMDA). Along with those, a data model is being created to allow applications to make sense of the data payloads. McManus noted the goal is to make the APIs and data model an industry standard.

McManus noted that NYSE Technologies is in dialog with its “hardest competitors” to pursuade them to partner on the initiative. Noting that the open source move is one away from being “proprietary and protectionist” and also “a risky strategy,” McManus said the company’s belief is that its innovation in technology will give it a leading position in what will be an larger marketplace for data services.

That marketplace is one for enterprise data as a whole, as opposed to a narrower one for ultra low-latency trading applications. As such, latency is just one factor being considered by customers. Others include ease of integration, data coverage, avoiding vendor lock-in, and cost.

In that respect, NYSE Technologies expects its Data Fabric messaging middleware – especially its recently-release 6.0 release – will prove formidable because of its performance, scalabilty and support of different data transports.

Open sourcing of data APIs is not new, though they are somewhat in vogue at present. Bloomberg is one market data vendor making noises about providing open source APIs. Also, the Open Market Data Initiative – which has been supported by Bank of America Merrill Lynch – has defined an API (MDAL – for Market Data Abstraction Layer) and has developed a number of direct market data feeds that support it.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Enhancing trader efficiency with interoperability – Innovative solutions for automated and streamlined trader desktop and workflows

Traders today are expected to navigate increasingly complex markets using workflows that often lag behind the pace of change. Disconnected systems, manual processes, and fragmented user experiences create hidden inefficiencies that directly impact performance and risk management. Firms that can streamline and modernise the trader desktop are gaining a tangible edge – both in speed...

BLOG

The New ROI: How Cloud Data is Reshaping Performance and Strategy in Financial Markets

The conversation around cloud adoption in financial markets has fundamentally changed. The era of tentative migration and justifying projects based on CAPEX vs. OPEX is over. As a new report from LSEG, “Cloud Strategies in Financial Services,” confirms, the cloud is now a strategic default. But this maturity brings a new, more complex set of...

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

Applications of Reference Data to the Middle Office

Increasing volumes and the complexity of reference data in the post-crisis environment have left the middle office struggling to meet the requirements of the current market order. Middle office functions must therefore be robust enough to be able to deal with the spectre of globalisation, an increase in the use of esoteric security types and...