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Systematic Trading

Building Real-Time Trading Infrastructure

A systematic fund reduced end-to-end trading latency from 50ms to 2ms using kernel bypass, FPGA acceleration, and lock-free data structures.

Executive Summary

A systematic fund's 50ms tick-to-trade latency eliminated them from latency-sensitive strategies. Senior quant engineers rebuilt the stack with kernel bypass, FPGA market data decoding, and lock-free order management—achieving 2ms latency and enabling new high-frequency strategies.

Key Outcomes

  • 50ms → 2ms tick-to-trade latency (96% reduction)
  • 3 new HFT strategies deployed
  • 1500 orders/second → 50,000 orders/second

Client Situation

The firm's medium-frequency strategies were profitable, but they couldn't compete in latency-sensitive events like index rebalances or news trading.

Key Challenges

  • 50ms latency eliminated from many alpha opportunities
  • Software stack bottlenecked at 1,500 orders/second
  • Unable to colocate effectively with existing architecture

Existing Architecture

Linux kernel networking with TCP, C++ application with locks and heap allocations. Software market data decoding.

  • Kernel networking 30-50ms overhead
  • Lock contention at high order rates
  • Heap allocations causing GC pauses

Solution Design

End-to-end low-latency stack: FPGA for market data, DPDK kernel bypass, lock-free order book, and pre-allocated memory pools.

Key Decisions

  • FPGA decoding exchange protocols (25μs)
  • DPDK for tick-to-trade path
  • Lock-free data structures throughout
C++RustFPGADPDKSolarflareRDMA

Implementation

Replaced components incrementally from market data to order management, testing at each stage.

  1. Phase 1: Phase 1: Market Data

    FPGA decoding reducing market data latency from 500μs to 25μs.

  2. Phase 2: Phase 2: Order Gateway

    DPDK-based gateway with RDMA for exchange communication.

  3. Phase 3: Phase 3: Full Stack

    Lock-free risk checks and order management integrated.

Technical Challenges

FPGA programming complexity

Impact: 6 months to implement basic exchange protocol decoding

Resolution: Hired FPGA specialists and used vendor reference designs

Lock-free order book correctness

Impact: Concurrent access bugs causing order corruption

Resolution: Model checking with TLA+ before implementation

Results

Tick-to-trade latency (P99)
Before50ms
After2ms
Improvement96% reduction
Orders/second sustained
Before1,500
After50,000
Improvement33x increase
New HFT strategies
Before0
After3
Improvement$20M additional PnL

Lessons Learned

  • 📘 FPGA provided 20x speedup over software decoding
  • 📘 DPDK eliminated kernel overhead but required application rewrite
  • 📘 Lock-free data structures essential for 50k orders/second

What We Would Do Differently

  • 💡 Use P4 for FPGA programming for faster iteration
  • 💡 Implement zero-copy throughout earlier

Role Relevance

Senior quant engineers architected the end-to-end low-latency stack, making trade-offs across hardware and software to achieve 2ms tick-to-trade.

Critical Skills Demonstrated

Low-latency systems designFPGA/DPDK expertiseLock-free programmingHardware-software co-design

Related Roles

Frequently Asked Questions

What was the hardware cost?
$500k for FPGA servers and networking, generating $20M additional PnL—40x ROI.
How did you test the new infrastructure?
8-week parallel run with shadow traffic before cutting over live orders.