When Nanoseconds Matter: Ultrafast Trading Systems in C++ - David Gross - CppCon 2024

Key Takeaways

• Low latency trading systems are crucial for market makers to react quickly to market events and maintain accurate pricing, minimizing losses from stale information.
• The Roman Empire's use of future contracts to manage economic uncertainty demonstrates an early form of derivative trading, highlighting the long-standing need for risk management.
• Market making is described as a 'losers game' requiring consistent excellence across all aspects, not relying on a single strategy to beat the market.
• While FPGAs offer high speed for specific tasks, software solutions in C++ remain essential due to their flexibility, cost-effectiveness, and ability to handle complex logic.
• FPGA-based trading systems are functionally simple (e.g., bit comparisons) to maximize speed, with more complex logic and strategy updates handled by software.
• Strategies in low-latency systems have their own latency requirements; infrequent updates to trading rules would lead to stale information and disadvantageous trades.
• Accuracy in trading systems is directly related to latency, as faster ingestion and processing of information lead to more precise and up-to-date pricing.