Posted on Sat 04 October 2025 | Part 4 of Low-Latency Fundamentals | 12 min read
Ring buffers are a foundational data structure in low-latency systems. Their memory layout enables predictable performance and high throughput in real-time workloads such as trading engines, telemetry pipelines, and network processing.
Posted on Sat 20 September 2025 | Part 2 of Distributed Systems in Finance | 23 min read
Modern trading systems rely on message-oriented architectures to move market data, orders, and risk events between services with predictable latency. Delivery guarantees, broker architectures, and ordering constraints shape how these systems behave under load.
Posted on Sun 07 September 2025 | Part 1 of Distributed Systems in Finance | 10 min read
Traditional settlement takes days because banks cannot trust shared state. Canton Network addresses this with domain-based consensus and cryptographic privacy, enabling real-time settlement without sacrificing confidentiality.
Posted on Mon 03 March 2025 | Part 2 of Building Real Trading Systems | 9 min read
Low correlation between strategies does not guarantee independence. Hidden dependencies between trading strategies can create concentrated portfolio risk, especially during regime shifts where correlations suddenly converge.
Posted on Fri 28 February 2025 | Part 1 of Building Real Trading Systems | 5 min read
Provisioning cloud infrastructure is a common step when moving trading systems from local development to production. This guide shows how to deploy an Ubuntu 24.04 EC2 instance and connect it to Interactive Brokers.