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

Cloud Platforms Gain Traction in Low-Latency Trading

Subscribe to our newsletter

Cloud platforms – once viewed as suitable only for middle- and back-office operations – are being increasingly adopted to support the front-office. While cloud remains a much overused buzzword, true cloud technologies are now delivering the kind of performance required for low-latency trading, and offer mechanisms to marry business return to technology investment.

This topic is explored further in a white paper written by Low-Latency.com and sponsored by CFN Services, titled High Performance Trading Infrastructure on Demand. Expect further discussion of the convergence of low-latency and cloud technologies – and how big data approaches fit it – at the Low-Latency Summit in New York City on November 15. But here are a few insights into the dynamics of cloud adoption:

* Software-as-a-Service – perhaps the most visible side of cloud – is becoming almost the standard for trading application delivery, with the likes of SunGard’s Valdi and Fidessa as leading examples. SaaS lends itself to servicing smaller firms, buyside players and to moving into new trading areas and geographies quickly.

* NYSE Technologies’ Community Platform was rolled out a year ago in its Mahwah, NJ data centre, and recently also from its facility in Basildon, near London in the UK. When it was introduced, officials expected trading firms to opt for dedicated infrastructure to run their trading systems, while running applications such as back testing and reporting on virtualised servers. Anecdotal evidence, however, suggests that virtualisation is being adopted by many for their trading applications, since the latency and jitter hits are less than expected.

* CFN Services is combining its proximity hosting and connectivity services with virtualised infrastructure, tapping into Tier 3’s cloud stack, which is an optimised version of VMware’s virtualisation software. Tier 3 reckons it has reduced the performance hit of virtualisation to just 7% -making it fast enough for many trading operations, at low cost.

* FCM360 is rolling out its Low Latency Financial Cloud, hosting virtualised infrastructure (from VMware and Citrix) at Equinix, Savvis, Interxion and NTT data centres, where it can readily connect to co-located markets and participants.

It’s still early days for the cloud and low latency combination, and still some FUD to overcome (security, lack of control, performance). But the trend is underway and accelerating. As trading firms turn to big data approaches to help them drive trading, so the cloud will be the natural place to host that big data and make it available as a service.

Looking ahead perhaps a couple of years, deployment of trading applications in the cloud could mean as little as a serer – multi-core and multi-processor, running virtualisation software – to support core business logic, with probably 40Gbps network connections into services providing low-latency data, historic tick databases, machine readable news and sentiment services, trading gateways with risk checks, and post trade TCA and compliance services.

There will still be a place for those firms operating in the single digits of microseconds latency, but it will cost them to do it. For many others – perhaps many new entrants with innovative business models – clouds will be the way to go.

I’d love to know your thoughts, so feel free to leave comments …

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The Role of Data Fabric and Data Mesh in Modern Trading Infrastructures

The demands on trading infrastructure are intensifying. Increasing data volumes, the necessity for real-time processing, and stringent regulatory requirements are exposing the limitations of legacy data architectures. In response, firms are re-evaluating their data strategies to improve agility, scalability, and governance. Two architectural models central to this conversation are Data Fabric and Data Mesh. This...

BLOG

KX and OneMarketData to Merge, Creating a New Force in Capital Markets Data and Analytics

KX, the real-time analytics specialist behind the kdb+ time-series database, is set to merge with OneMarketData, provider of the OneTick market data management and analytics platform. The deal, which follows KX’s acquisition by private equity firm TA Associates in July, brings together two well-established names in capital markets technology under the KX brand. Ashok Reddy,...

EVENT

Eagle Alpha Alternative Data Conference, London, hosted by A-Team Group

Now in its 8th year, the Eagle Alpha Alternative Data Conference managed by A-Team Group, is the premier content forum and networking event for investment firms and hedge funds.

GUIDE

Corporate Actions USA 2010

The US corporate actions market has long been characterised as paper-based and manually intensive, but it seems that much progress is being made of late to tackle the lack of automation due to the introduction of four little letters: XBRL. According to a survey by the American Institute of Certified Public Accountants (AICPA) and standards...