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...
For years, the evolution of low-latency trading infrastructure has largely been measured in one direction: faster. Microseconds became nanoseconds as trading firms invested in colocation, network optimisation, specialist hardware and FPGA acceleration to gain an edge in markets where position in the queue can determine whether an order is filled. That race hasn’t gone away....
Now in its 16th year, Data Management Summit (DMS) NYC returns on September 17th 2026, to explore how to use data and AI to drive measurable business outcomes – reliably, repeatedly and at scale.
They say time flies when you’re enjoying yourself, and so it seems the industry have been having a blast with its preparations for the introduction of the global legal entity identifier (LEI) next month. But now it’s time to get serious. To date, much of the industry debate has centred on the identifier itself: its...