Introduction
In high-frequency trading (HFT), tick-to-trade latency is measured in nanoseconds. It represents the time from when a market packet hits the network interface card (NIC), moves through the CPU, goes through the trading strategy logic, and leaves as an order packet. Much like Formula 1, where custom components and precise execution make the difference, HFT is a race against physics.

Speed
When we talk about low latency, we are talking about light traveling through glass fibers at roughly 200 km per millisecond. To save microseconds, HFT firms rely on microwave and laser links rather than fiber lines because light travels about 30% faster through air than glass. In HFT system design, the speed of light is not just a constant. It is the ultimate limit we try to bypass by designing highly efficient hardware and software.
Execution
The software stack is optimized to minimize memory accesses and context switches. To bypass the operating system kernel overhead (which takes about 1-2 microseconds), we use kernel bypass libraries like Solarflare's Openonload or EF_VI. This copies packets directly from the NIC ring buffer to user space memory. Here is how a packed C++ struct is structured for reading market data straight off the wire without serialization overhead:
Co-location
Co-location means placing our servers within the same data center building as the exchange's matching engine (e.g., Mahwah, NJ for NYSE, Carteret, NJ for Nasdaq). This reduces physical distance. To ensure fairness, exchanges colocate all participants in the same room using equal-length coiled cables (e.g., a 1-meter fiber patch cord), providing a standardized propagation delay of approximately 4.97 nanoseconds.
Challenges
The engineering challenge is that software optimization can only go so far. C++ on CPU is extremely fast, but for the fastest execution paths, we offload logic onto Field Programmable Gate Arrays (FPGAs) or Application-Specific Integrated Circuits (ASICs). FPGAs run trading strategy decisions in hardware gates under 100 nanoseconds, but they are hard to program and deploy, requiring deep hardware design expertise.
Regulation
Regulating HFT is a complex issue. Because data propagation is so fast, any unfair advantage can destabilize market equilibrium. Incidents like the NSE co-location scam in India highlighted how preferential access to matching engine feeds allowed specific brokers to front-run other market participants. Regulators enforce strictly standardized multicast feeds to ensure equal market data delivery.
Conclusion
Building ultra-low latency engines requires co-designing hardware, networking, and software. It is a space where micro-optimizations, cache-locality, and hardware bypass come together to compete at the absolute boundary of physical speed.
Thank you for reading!