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Trading firms are moving on from an obsessive focus on latency reduction to a ‘new normal’ of applying intelligence to high performance trading, to ensure that they are executing the best – most profitable and least risky – trades, and not simply the fastest ones. It's called Intelligent Trading.

Faced with fundamental shifts in the dynamics of the major capital markets, trading firms are looking to maintain low latency and increase agility, while reducing complexity and cost – especially when it comes to market data and market access. To introduce the issues and options related to market data infrastructure, this industry briefing discusses:

  • Automated Trading Today: Change Brings Opportunity
  • Market Data – Opportunities, Complexity and Challenges
  • Alternative Approaches to Managing Market Data Infrastructure

In its second year this comprehensive London salary survey covers 2,966 separate salary bands ranging from entry level to senior appointments in the financial services and commodities technology sector. The survey has been produced taking data from over 16,500 technology professionals and over 2,200 companies in the industry and gives a comprehensive benchmark of salaries in the following areas:

In the world of the financial markets, securing an edge over the competition can mean life or death for a trading firm. Whether it is acting on news alerts or price movements, determining the best trading opportunity, or delivering an order to the marketplace, microseconds mean the difference between winning or just playing.

Reducing those microseconds – referred to as latency – is a continuing focus of trading firms, and an increasing challenge as that latency is pushed down to double and single digit microseconds. The “race to zero” becomes increasingly difficult and expensive to engage in as it nears its conclusion.

This industry briefing - sponsored by SAP - provides insight and analysis on how financial markets firms see Big Data approaches and technologies being leveraged for trading and risk applications.

The briefing draws upon research conducted by A-Team Group’s BigDataForFinance.com web community, which included a survey of major financial markets firms based in the U.S.  The survey was conducted during the spring and summer of 2012.

Free white paper, authored by GE Intelligent Platforms

IP traffic is increasing globally at a breath-taking place. In order to support the demand of high performance IP packet processing particularly for High Frequency Trading applications demanding low latency and higher throughput, users and developers are adopting a novel approach of combining PCI Express packet processing accelerator cards in a standalone network server with efficient TCP/IP stack to create a multi-port compute engine capable of executing high frequency trading algorithms along with regulatory and other necessary functions supporting the HFT server.

Free white paper, authored by Symmetricom

Trading applications at market participants require access to precise timing information - the same precise timing information - in order to transact business profitably, without risk and within regulatory edicts.

In the financial trading markets, the race to zero is on, with participants including competing marketplaces, algorithmic trading operations, high frequency trading firms, market data aggregators and execution network providers all playing their role in pushing down transaction times from hundreds of milliseconds to tens of microseconds.

Linking all of these players together is data itself, binary digits that have real meaning – and often great value – to those that can capture it, understand it, and leverage it. But as the race heats up, market data rates and volumes are exploding, presenting an extreme challenge to all those needing to manage the deluge, and stay ahead in the race.

Financial markets firms can no longer spend what it takes to compete in the “low latency arms race.” The new reality demands high performance to be competitive with peers, but with an emphasis on upfront deployment and ongoing operational costs.
High performance is measured not simply in trading execution speed and round-trip latency figures. Those metrics remain a factor, but in a world where performance is measured not in absolute terms but against trading peers, the ability to enter new markets cost effectively and react to business changes – agility and flexibility – are just as important.