Latency Components and Their Role in Algorithmic Trade Execution
Summary
The article explains latency as the time required for data and orders to move through a trading system, distinguishing it from bandwidth or capacity. It compares a traditional workflow, where market data passes through a broker to a trader’s tools before orders are routed, with direct market access, which shortens the data path. Even with automated systems, market-data processing and order generation remain sequential in the architecture described.
It presents latency as a competitive factor because delays can affect the price at which an order executes and expose a trader to faster participants. The article breaks total latency into propagation, network processing, serialization, interrupt handling, and application processing. It also argues that firms should balance investment in faster systems against their expected return, while running risk management in real time.
The discussion is conceptual and comes from a 2014 webinar overview. It provides no comparative latency measurements or evidence that reducing latency improves results for every strategy. The value of lower latency depends on the trading approach and the cost of the technology needed to achieve it.
Key ideas
- Latency is the time required to move and process market data and orders, while bandwidth measures capacity.
- Direct market access can shorten the path between exchange data and a trading system.
- Latency includes propagation, network handling, serialization, interrupt handling, and application processing time.
- Delays can affect execution prices, but technology spending should be weighed against its expected return.
- The article offers a conceptual overview rather than measured evidence that lower latency benefits every trading strategy.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.