Intelligent Trading Technology Blog

As the technology infrastructure of financial services firms begins to buckle under the strain of huge and increasing volumes of data, many firms are investing in big data projects to improve data management for the purposes of regulatory compliance, risk reduction, cost efficiency and business benefit. The extent and intent of investment varies, however, with some firms taking an evolutionary approach that imposes big data technologies on existing processes and others taking a revolutionary approach that rethinks processes using big data technologies.

Azul Systems has signed up Feedzai, a company that uses real-time, machine-based learning to analyse big data in commerce, as an independent software vendor that will use its Zing Java virtual machine (JVM) to power ultra-fast processing of big data within the Feedzai Fraud Prevention That Learns software.

Agile trading systems are key to market differentiation, but rather than following the well-trodden path of building proprietary systems, firms are beginning to favour a buy-and-build approach that not only meets immediate needs, but also accommodates rapid development to meet evolving trading and customer requirements.

The Laboratory for Financial Innovation at China’s Shenzhen Stock Exchange (SZSE) is implementing Kx Systems’ kdb+ high-performance database and programming language as the basis of a data analysis platform for market risk assessment, market performance analysis and trading simulations.

Latest Research

High speed, low latency trading connectivity is no longer enough to differentiate you from your competitors - so how do you add value to your trading systems?

How can you create a trading platform that is:

  • Flexible enough to accommodate the transaction lifecycle?
  • Powerful enough to deliver the analytics for better informed trading decisions?
  • Fast enough to meet both customer and regulator expectations of trade visibility close to real time? 

Do you worry about the validity and integrity of the data you contribute either to benchmarks like Libor or indexes, or to markets like the exchange-like Swap Execution Facilities (SEFs)? Or about the quality of the data you are selling to clients?

With a marketplace growing in complexity, and more and more rules coming from a variety of regulators partly in response to the Libor and related scandals about handling contributed data, ensuring data integrity is getting tougher.

Latest Q&A

As trading firms look to improve business performance, perhaps using sophisticated strategies running at speed, and regulators demand increased transparency and integrity across trading environments, the need is for tools that can monitor and analyse complex business flows. IntelligentTradingTechnology.com spoke to Velocimetrics’ CEO Steve Colwill about the need for real-time business insight and how it can be achieved.

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High speed, low latency trading connectivity is no longer enough to differentiate you from your competitors - so how do you add value to your trading systems?

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The wave of LIBOR-inspired compliance requirements has particular implications for capital market participants. Proactive management of a firm’s risk and compliance environments is desperately needed to stay ahead of this wave.

Intelligent Trading Technology Poll

What is your #1 IT investment priority
Reducing latency?
40%
Managing big data?
0%
Leveraging analytics?
60%
Total votes: 5

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