FPGA High-Frequency Trading System: Engineering Practice from Hardware Acceleration to Sub-Microsecond Latency

A complete open-source FPGA high-frequency trading system project with 35 sub-projects, achieving end-to-end trading latency below 5 microseconds via FPGA hardware acceleration, kernel bypass technologies (AF_XDP/DPDK), and a FIX protocol engine. It is validated using over 563,000 real NASDAQ ITCH data entries, providing a production-grade reference implementation for low-latency architectures in fintech. The project covers the full link from hardware physical layer to cross-platform applications, with core advantages including FPGA's parallel computing and deterministic latency, kernel bypass to eliminate network stack overhead, etc.

In financial markets, speed is a core competitive edge. Traditional software trading systems typically have millisecond-level latency, which cannot meet the needs of modern high-frequency trading. This project is a complete end-to-end system with 35 sub-projects, covering all links from the Ethernet physical layer to cross-platform trading applications. It is validated using real NASDAQ ITCH data (over 563,000 samples) to ensure performance reflects real market environments.

FPGA bypasses the CPU instruction pipeline limitations through hardware parallel computing, undertaking key links such as packet parsing, protocol processing, and strategy calculation, achieving end-to-end latency below 5 microseconds and deterministic latency (no jitter from OS scheduling, etc.). Kernel bypass technologies use AF_XDP (Linux high-speed network interface) and DPDK (Intel Data Plane Development Kit), where data packets are directly DMA-transferred from the network card to user space, eliminating memory copy and context switching overhead.

The project implements a complete FIX 4.2 execution engine, using FPGA hardware acceleration for FIX message encoding/decoding to solve text parsing bottlenecks, while handling session management (heartbeats, retransmissions) and error detection (sequence number checks, checksums). The automated market-making strategy link: receive NASDAQ ITCH market data → FPGA parses the order book → hardware parallel computing for optimal quotes (considering order book depth, price fluctuations, position volume) → send orders via FIX protocol, with the entire link latency controlled within 5 microseconds.

The 35 sub-projects of the project are layered by function: Physical Layer/Network Layer (Ethernet MAC/PHY, packet processing) → Transport Layer/Protocol Layer (TCP/UDP hardware acceleration, FIX/ITCH parsing) → Strategy Layer (automated market-making) → Execution Layer (order sending) → Application Layer (UI/monitoring). Validation testing uses historical data replay, including functional testing (protocol parsing, strategy execution), performance testing (latency/throughput), and stress testing (extreme market + fault simulation).

Production-grade features: Hot upgrade (update strategies without interrupting trading), comprehensive log monitoring (order lifecycle tracking), risk control (automatic pause on strategy anomalies), multi-exchange access support, compatibility with Xilinx/Intel FPGA chips. Implications for LLM inference: FPGA can accelerate matrix operations and weight access; kernel bypass reduces network latency; FIX engine design can be referenced for efficient and reliable processing of LLM APIs.

This project demonstrates the complete technology stack of a high-frequency trading system, from hardware design to software implementation, providing valuable references for low-latency architectures in fintech. Its core technologies (hardware acceleration, kernel bypass, deterministic latency) are not only applicable to financial trading but also have universal reference significance for low-latency demand scenarios such as AI inference and real-time analysis.