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.
For many quantitative trading firms and asset managers, building a self-provisioned historical market data environment remains one of the most time-consuming and resource-intensive steps in establishing a new research capability. Sourcing data, normalising symbologies, handling corporate actions and maintaining infrastructure can take months and absorb significant budget before a single model is tested. At the...
The conversation around trading technology has become more exacting over the past year. AI is moving into production environments. Data estates are being rationalised and rebuilt. Infrastructure decisions are increasingly shaped by resilience, transparency and regulatory pressure. Against that backdrop, A-Team Group’s TradingTech Summit London 2026 takes place at a time when firms are reassessing...
Now in its 15th year the TradingTech Summit London brings together the European trading technology capital markets industry and examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.
At the same time, the growth of high frequency and event-driven trading techniques is spurring demand for direct feed services sourced from exchanges and other trading venues, including alternative trading systems and multilateral trading facilities. Handling these high-speed data feeds its presenting market data managers and their infrastructure teams with a challenge: how to manage...
