Just off the presses is this technical document – IBM refers to them as redpapers – on “WebSphere MQ Low Latency Messaging in Financial Exchanges.” Among other things, it illustrates how to create a “highly available matching engine component,” using the RCMS (Reliable and Consistent Message Streaming) API. For more information, and to download the redpaper, click here.
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...
Trading infrastructure modernisation is no longer being driven solely by latency reduction or cost efficiency. The stronger message emerging across the industry is that firms are having to prepare for markets that are increasingly global, extended-hour, automated and operationally unforgiving. That was the central takeaway from a panel discussion at A-Team Group’s recent TradingTech Summit...
Now in its 3rd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.
Need to know all the essentials about the regulations impacting trading infrastructure? Welcome to the first edition of our A-Team Trading Regulations Handbook which provides all the essentials about regulations impacting trading operations, data and technology. A-Team’s Trading Regulations Handbook is a great way to see at-a-glance: All the regulations that are impacting trading technology...