Trading Systems

Building trading systems for institutional capital markets is fundamentally different from building general-purpose distributed systems. A market data feed that delivers prices 100 microseconds late is worthless to a market maker. An order management system that drops a single message during a volatility spike can trigger a regulatory investigation. This guide covers the architecture patterns, technology choices, and operational practices we have used to build trading infrastructure at HSBC, Credit Suisse, Deutsche Bank, and NatWest Markets. ...

If you are comparing Aeron vs Kafka vs Chronicle Queue for your capital markets messaging layer, the choice determines whether your trading desk operates at microsecond or millisecond latency. Pick the right one and you get predictable sub-10μs market data delivery. Pick the wrong one and you will spend years fighting GC pauses, backpressure, and missed trades. We have deployed all three in production at tier-one banks — Aeron for exchange gateway connectivity, Kafka for settlement and risk workflows, and Chronicle Queue for deterministic journaling on the trading floor. Here is the real-world comparison based on those deployments, including the aeron vs kafka latency gap and where chronicle queue fits in. ...

cloudlogic.dev is a product and engineering consultancy built for modern finance. We partner with capital markets, payments, and fintech teams to modernise critical platforms, move faster in the cloud, and ship AI-enabled experiences that are safe, secure, and auditable. Our clients are engineering, product, and risk leaders at institutions that cannot afford downtime, regulatory failure, or security breaches. They choose us because we bring practitioner experience — our engineers have built and operated these systems at HSBC, Credit Suisse, Deutsche Bank, UBS, and NatWest Markets under real production pressure. ...

If you have ever operated a FIX engine in production, you know that the standard is not standard. Every exchange speaks a slightly different dialect of FIX 4.4. The same tag can mean different things on different venues. Session disconnect recovery differs between CME and LSEG. Drop copy behaviour varies between brokers. We have certified and deployed FIX engines across ICE, CME, LSEG, Eurex, and crypto venues. Here are the patterns that work in production and the ones that cause the most incidents. ...

The belief that cloud cannot deliver sub-millisecond trading latency is outdated. The constraint is not the cloud provider — it is how you architect within the cloud. Firms that treat AWS, GCP, or Azure as a data centre with better networking get data-centre performance. Firms that treat the cloud as a programmable substrate get latency numbers that surprise their counterparties. We have deployed trading systems on AWS and GCP that consistently achieve round-trip latencies under 500 microseconds for order-to-acknowledge paths. The architecture is fundamentally different from on-premise trading infrastructure, but the performance is comparable. ...