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

The Open Source Market Data Ecosystem – Open for Business

Subscribe to our newsletter

Andrew Miller of Net Effect, a consultant on the OpenMAMA project, takes look at the state of play of open initiatives in the market data space.

A white paper published by A-Team last month went into some depth on the state of market data infrastructure, pain points and benefits of adoption of open source technologies. This article is a quick peek at what the ecosystem might consist of, what exists, what is required and what might be closer than you may think.

The concept is that by adopting open source technologies and, in particular, a common, full function and high performance API abstraction layer, multiple benefits accrue. Some of these are:

  • Full source code is available without download or usage fees, which helps removes vendor ‘lock-in’ and encourages experimentation, leading to innovation.
  • More usage and “eyes on the code” brings higher quality and faster issue resolution.
  • Applications written using the API can connect to any compliant middleware, giving freedom to change or mix and match infrastructure at low cost and low risk.
  • Compliant data sources will work “out of the box”, so end-users can choose the most appropriate sources without complex connectivity issues.
  • Competition and new entrants are encouraged because they can approach the market, knowing that their value-added applications and data are easily integrated.
  • With competition, services and products must improve (promoting innovation) or be cheaper (driving down costs).

It’s a multiple win situation for suppliers, end-users and those charged with increasing profits whilst reducing costs. This is not a quick fix; strategic planning and commitment is needed to truly benefit in the longer term.

Several firms are already well down the path. JP Morgan are public supporters and are seeing many benefits. Other banks and brokers have adopted the approach but are not so public, which is a shame but nonetheless gives credibility. The more end-user firms adopt strategically, the more vendors are encouraged, if not forced to support it, bringing true optionality closer.

So, what’s in the pot and what else do we need?

The abstraction layer is well covered by the Linux Foundation’s OpenMAMA project. Numerous bridges are available providing connectivity to common platforms such as TREP, Bloomberg, Solace and now even ZeroMQ, the open source middleware popular with banks and brokers.

ZeroMQ provides a suitable transport for both trading and market data distribution and so end-to-end messaging can be provided completely within the open source world.

An essential part of many market data infrastructures is the ‘last-value’ cache. There are several examples with OpenMAMA interfaces in production from various suppliers. Feed handlers are also available.

However, more is needed.

The incumbent platforms from data vendors are excellent at dealing with their own data. This is not always the case for 3rd party or internally generated data. Today’s regulatory rigour requires full control, audit and accountability for this data, especially contributed rates and quotes. Other products satisfy this need but there is room for more offerings in the market.

Simple connectivity to support choice of data source is great, but applications are often coded making assumptions about instrument and data field naming conventions. Therefore, a switching ability at some level – server, application or API – to change symbology is necessary. Switching at the server level does not address platform lock-in unless the switching server itself has a common open interface.

Implementation at the API level, with an open interface to symbol look-up services and loadable bridges that allow dynamic source switching truly supports choice. It also allows switching on other criteria such as source failure, cost, latency, etc. OpenMAMA has addressed or is discussing all of these benefits.

I believe we can expect to see the OpenMAMA project catalyse other open source initiatives, maybe even in competition. But competition and innovation are good and surely the industry needs it.

Subscribe to our newsletter

Related content


Recorded Webinar: Transforming Data Experiences in Quantitative Research and Trading

For quantitative researchers and quant trading teams at banking and capital markets firms, the ability to access, integrate, and share data is critical. Data and how teams collaborate with data underpins the ability to generate alpha, perform execution analyses, and provide a modern and differentiated client experience. However, for most banks, legacy technology stacks and...


Kepler Cheuvreux to Adopt Opensee’s Trade Management and Execution Analytics Solution

Opensee, the data analytics company, is to deploy its new cloud-based trade management and execution analytics solution at Kepler Cheuvreux, the European financial services company. KCx, Kepler Cheuvrex’ execution facility, will adopt the solution for multi-dimensional, real-time access to analytics around trade performance and risk. The platform will allow users to perform unlimited independent analysis...


Data Management Summit London

Now in its 13th year, the Data Management Summit (DMS) in London brings together the European capital markets enterprise data management community, to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.


RegTech Suppliers Guide 2020/2021

Welcome to the second edition of A-Team Group’s RegTech Suppliers Guide, an essential aid for financial institutions sourcing innovative solutions to improve their regulatory response, and a showcase for encumbent and new RegTech vendors with offerings designed to match market demand. Available free of charge and based on an industry-wide survey, the guide provides a...