Fontes Fintech

Inside a Low-Latency Trading Network: UDP Market Data and TCP Order FlowTrading Engineering — Deep Dive #9IntroductionWhen discussing networking in low-latency trading systems, simply comparing TCP and UDP is not enough.In a real trading system, market data and order flow follow different network paths and have different engineering requirements.A simplified exchange-connected trading architectu..

Why False Sharing Matters in Multithreaded Low-Latency SystemsTrading Engineering — Deep Dive #2Understanding CPU Cache is not enough to build a low-latency trading system.Even when data is already in the CPU cache, performance can be significantly affected by how that data is laid out and accessed by multiple threads.One of the most important examples is False Sharing.False Sharing occurs when ..

Why CPU Cache Matters in Low-Latency Trading SystemsTrading Engineering — Deep Dive #1In previous articles, we discussed Shared Memory, Lock Contention, Memory Copy, and End-to-End Latency.These topics all lead to a deeper question:How does the CPU actually access data?In modern low-latency systems, performance is often limited not by arithmetic operations, but by how efficiently data moves thro..

Why Lock Contention Matters in Low-Latency Trading SystemsTrading Engineering Series — 08In low-latency trading systems, synchronization is just as important as data transfer performance.When multiple threads or CPU cores need to access shared data, synchronization mechanisms such as locks and atomic operations may be required to maintain data consistency.However, excessive synchronization can i..