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HFT · Low Latency

High Frequency Trading Software Development

We develop high frequency trading software for qualified desks—colocation, kernel bypass paths, optimized FIX, and C++/Rust cores— with honest scoping about what latency tier your strategy actually needs.

production / validated
pre_trade.validate()
execution.route(order)
risk.enforce_limits()
log.audit(event_id)

HFT labels hide mismatched architecture

Strategies that need 50ms co-located VPS get sold nanosecond fantasies. True HFT requires capital for colo, feeds, and specialized talent—not Python loops on home internet.

  • ×Wrong latency tier spend before strategy edge proven.
  • ×FIX sessions without sequence number recovery discipline.
  • ×Market data gaps during feed failovers cause bad quotes.
  • ×No tick-to-trade measurement—optimization is guesswork.

Tier-appropriate HFT software development

We classify your strategy latency budget, then engineer colo placement, binary protocols, and profiling—not boilerplate low-latency washing.

  • Tick-to-trade metrics instrumented end-to-end.
  • Hot path in C++/Rust; research remains Python-friendly.
  • Feed handler failover with gap fill procedures.
  • Realistic roadmap from medium-low to ultra-low latency.

Desks with genuine low-latency requirements

Market makers, latency arb, and institutional scalpers—not retail EAs marketed as HFT.

Crypto market makers

Colocated matching engine proximity on major venues.

FX ECN scalpers

FIX 4.4 with co-located LD4/TY3 presence.

Equities prop shops

Direct market access integration projects.

Feed vendors

Normalized low-latency fan-out to clients.

Real-world delivery examples

Crypto MM colo upgrade

MM desk moved from cloud to Tokyo colo near major venue.

Tick-to-trade p99 improved from 38ms to 1.2ms; spread capture up 19%.

FX ECN FIX engine

Prop desk needed custom FIX with full audit and fast recovery.

Session recovery under 200ms; zero sequence gaps unhandled in 90 days.

What you get

Latency profiling suite

Hardware timestamped tick-to-trade histograms.

Optimized FIX engine

Session recovery, gap fill, and binary where supported.

Kernel and NIC tuning

Busy poll, affinity, and DPDK assessment when justified.

Feed handler redundancy

A/B feeds with sequence alignment.

Quote and skew engine

Inventory-aware market making modules.

Simulation at microstructure level

Queue position models for realistic MM backtests.

Technology stack

TechnologyRole in your build
C++ / RustHot path order and quote logic
FIX / binary native APIsExchange connectivity
DPDK / OnloadOptional kernel bypass when ROI proven
FPGA partnersSub-microsecond paths via specialist partners when required
InfluxDB + custom profilersLatency analytics and regression detection

Development process

  1. 01

    Latency tier assessment

    Honest classification: ms vs µs vs ns requirements.

  2. 02

    Architecture + colo plan

    Venue, cross-connect, and feed vendor selection.

  3. 03

    Core engine MVP

    Measure baseline tick-to-trade before strategy complexity.

  4. 04

    Strategy integration

    MM or arb logic with risk kill in hot path.

  5. 05

    Production hardening

    Failover drills and 24/7 runbooks.

Frequently asked questions

Do you guarantee nanosecond latency?+

No. We quote achievable tiers based on venue, colo, and strategy after assessment.

Python ever used in HFT path?+

Research and orchestration yes; hot path C++/Rust for true low latency.

FPGA development in-house?+

Partner network for FPGA; we integrate and spec requirements.

Minimum capital for HFT colo?+

Varies by venue—discussed candidly in tier assessment.

Regulatory considerations?+

Market making registration varies by jurisdiction; legal counsel required.

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Scope high frequency trading software honestly

Share venue, strategy type, and latency goals—we respond with tier assessment—not hype.