5 Star rating from Clutch verified reviews

High-Frequency Trading Software Development

Latency-critical trading systems, market data infrastructure, and execution platforms for prop shops, market makers, and quant funds.

No commitment requiredResponse within 24 hours

8000+
Projects
Delivered for clients nationwide
3000+
Clients
Nationwide across the USA
200+
Engineers
Senior, vetted, full-time
5.0
Clutch Rating
From verified client reviews

Common Challenges

We Understand High-Frequency Trading Engineering

Trading systems live and die by microseconds. The challenges we help prop shops, market makers, and quant funds work through.

Latency Budget Across the Stack

Every microsecond between market data ingest and order send matters. Optimizing it requires looking at NIC offload, kernel bypass, lock-free data structures, and CPU pinning together, not in isolation.

Market Data at Line Rate

Full-depth feeds from US equities (SIP, direct feeds), options (OPRA), and futures generate millions of messages per second. Parsing, normalization, and order book reconstruction have to keep pace without dropping packets.

Pre-Trade Risk Without Slowdown

SEC Rule 15c3-5 requires controls on every order, but adding a risk gate naively adds latency. The architectural problem is making the controls run in tens of nanoseconds, not milliseconds.

Backtest-to-Production Drift

Strategy P&L looks great in backtest, then disappoints in production. Closing the gap means replaying real exchange data through the exact production code path, not a Python notebook approximation.

What We Build

High-Frequency Trading Engineering Capabilities

Engineering capabilities for low-latency market data, execution, and pre-trade risk that hold up at line rate.

Low-Latency Trading Engines

C++ and Rust execution engines built around lock-free queues, false-sharing-aware data layouts, and CPU pinning. Targeting tick-to-trade in the low microseconds.

Market Data Infrastructure

Multicast feed handlers for FIX/FAST, ITCH, OUCH, OPRA, and direct exchange feeds. Order book reconstruction, normalization, and tick storage in kdb+ or ClickHouse.

FPGA and Kernel Bypass

Solarflare Onload, ef_vi, DPDK, and FPGA-accelerated parsers for feed handlers and pre-trade risk gates that need to run in hardware-timestamped nanoseconds.

Pre-Trade Risk and Controls

Rule 15c3-5 compliant risk gates: position limits, fat-finger checks, order-rate counters, kill switches, and credit checks built inline without blowing the latency budget.

Strategy Backtesting and Simulation

Event-driven backtest engines that replay full exchange data through the same code path that runs in production, with realistic queue position modeling and slippage from observed fills.

Co-located Deployment and Ops

Deployment at NY4, NY5, LD4, FR2, and equivalent exchange-proximity data centers, with PTP-grade timestamping, hardware latency monitoring, and automated failover.

Questions? We've Got Answers

Your HFT Risk Questions, Answered.

Direct answers on enforcing pre-trade risk without breaking the latency budget, and the failure modes that have wiped out HFT firms.

Featured Answer

How do HFT systems handle pre-trade risk without adding meaningful latency?

Production HFT risk checks combine three techniques. Compiled risk rules running on the execution path with single-microsecond budget, not external risk services. Position and exposure tracking maintained in process memory with atomic updates rather than database lookups. Hardware-accelerated checks using FPGAs for the most performance-critical strategies. The result is comprehensive risk enforcement that does not break the latency budget. Skipping pre-trade risk to gain speed is one of the failure modes that wiped out historical HFT firms.

Schedule an HFT risk architecture review.

Talk to an HFT engineer

Tech Stack

Technologies We Use

The C++, Rust, kdb+, DPDK, and FPGA tooling we reach for on production high-frequency trading work.

C++
Rust
kdb+/q
ClickHouse
Python (research)
DPDK
Solarflare Onload
FPGA (Verilog / HLS)
PTP
Redis
Kafka
Linux (RT kernel)

Compliance & Standards

Built to Meet Regulations

Engineering practices aligned with SEC Rule 15c3-5, Reg NMS, MiFID II RTS 6, and exchange venue certifications.

SEC Rule 15c3-5 (Market Access)
Reg NMS (US equities)
MiFID II RTS 6 (algo trading)
CAT reporting
SEC Rules 605 / 606 (execution quality)
Exchange certifications (per venue)

The Software Pro Difference

Why Choose Software Pro

The reasons engineering leaders keep coming back, told the way we'd tell them in the room.

NYC Headquartered, Global Talent

420 Lexington Ave, Suite 300. NYC based agency accountability backed by 200+ globally sourced engineers and developers.

2 Week Team Spinup

From signed contract to productive engineers in 10 business days. We've done it 200+ times.

95% Retention Rate

Our engineers stay because we treat them right. Low turnover means consistency for your project.

Zero Risk Trial

Every engineer comes with a 2 week trial. Not the right fit? We replace them in 48 hours, no charge.

US Time Zone Alignment

6 to 8 hours of daily overlap with every US timezone. Real time collaboration, not async handoffs.

8000+ Projects Delivered

From Series A startups to Fortune 500 enterprises. We've seen every challenge and solved it.

How We Work

Our High-Frequency Trading Engagement Process

A delivery process built for latency-sensitive trading systems, where every architecture decision is benchmarked against the production wire.

01

Discovery & Planning

Deep dive into your goals, users, and technical requirements. We define scope, timeline, and success metrics.

02

Architecture & Design

System design, wireframes, and prototypes. We validate the approach before writing code.

03

Agile Development

Two-week sprints with bi-weekly demos. Continuous integration, code reviews, and transparent progress.

04

Testing & QA

Automated testing, manual QA, performance testing, and security audits on every release.

05

Deployment & Launch

Zero-downtime deployment to production with monitoring, alerting, and rollback capabilities.

06

Optimization & Support

Post-launch monitoring, performance optimization, and ongoing feature development.

Client Reviews

What Our Clients Say

All reviews verified and sourced fromClutch.co
Clutch Verified

"Software Pro took off the workload of production from our shoulders entirely. They designed and developed the entire platform from scratch and provided continuous application support. We're already in talks with them for another project."

E-Commerce Development & Application Support

Phillip Tyler

Founder, Kreative Bugs

Brisbane, AustraliaMar 2025
Clutch Verified

"Their commitment to clear communication, timely delivery, and post-launch support truly impressed us. They delivered a robust, scalable website with visually stunning design. Post-launch training and troubleshooting ensured we could manage everything independently."

Web Development & UI/UX Design

Daniel Foster

Manager, Bulvar Global

Lisbon, PortugalMar 2025
Clutch Verified

"Software Pro helped us where other development teams couldn't. One of our client sites saw a 13% organic increase within one month of their technical work. The team always delivers on time and goes above and beyond to meet expectations. They are amazing!"

Custom Software Development & Web Optimization

Michael Bennett

Executive, Custom Digital Solutions

Charleston, SCNov 2024
View All Clutch Verified Reviews

Opens clutch.co, the world's leading B2B review platform

Common Questions

Questions HFT buyers ask before they engage, on latency budgets, co-location, and exchange certification.

What latency targets do you typically work to?
It depends on the strategy. Cash equities market making with co-location aims for low-single-digit microseconds tick to trade. Crypto market making on cloud venues lives in the low milliseconds. Long-tail systematic strategies often have looser budgets and use the same primitives more conservatively. We size the budget against the strategy, not the marketing.
Do you work with FPGA-accelerated systems?
Yes. We have engineers comfortable with FPGA-accelerated feed handlers, pre-trade risk, and parser offload, typically targeting Xilinx Alveo cards via HLS and Verilog. We also know when an FPGA is overkill: most strategies extract more value from a tighter C++ hot path than from moving to hardware.
How do you handle backtest-to-production drift?
We build event-driven backtest harnesses that replay full exchange data (PCAP captures or kdb+ tickstores) through the same C++/Rust code path that runs in production. Queue position is modeled, not assumed. Slippage uses observed fill data, not lognormal noise. The goal is production P&L that tracks backtest P&L within a defendable error band.
Can you build pre-trade risk that fits our latency budget?
Yes. Inline pre-trade risk under Rule 15c3-5 is solvable in the low hundreds of nanoseconds with the right approach: order-rate counters in lock-free atomics, position checks in direct memory rather than database calls, and kill switches as branch predictions, not RPCs. FPGA can push this to tens of nanoseconds when justified.

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