Rust delivers the microsecond-level latency guarantees that high-frequency trading demands, with zero-cost abstractions that eliminate garbage collection pauses entirely. The ownership system prevents data races in concurrent order processing without runtime locks, while the...
ZTABS builds high-frequency trading systems with Rust — delivering production-grade solutions backed by 500+ projects and 10+ years of experience. Rust delivers the microsecond-level latency guarantees that high-frequency trading demands, with zero-cost abstractions that eliminate garbage collection pauses entirely. The ownership system prevents data races in concurrent order processing without runtime locks, while the borrow checker ensures memory safety without the overhead of garbage collection that creates unpredictable latency spikes. Get a free consultation →
500+
Projects Delivered
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Client Rating
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Years Experience
Rust is a proven choice for high-frequency trading systems. Our team has delivered hundreds of high-frequency trading systems projects with Rust, and the results speak for themselves.
Rust delivers the microsecond-level latency guarantees that high-frequency trading demands, with zero-cost abstractions that eliminate garbage collection pauses entirely. The ownership system prevents data races in concurrent order processing without runtime locks, while the borrow checker ensures memory safety without the overhead of garbage collection that creates unpredictable latency spikes. Rust's inline assembly support and zero-overhead FFI enable integration with kernel bypass networking (DPDK, io_uring) for sub-microsecond market data processing. Major trading firms including Jump Trading and Jane Street invest heavily in Rust for their trading infrastructure.
Rust has no garbage collector. Memory is allocated and freed deterministically through the ownership system. Trading systems never experience the 10-100ms GC pauses that plague Java and C# trading platforms.
Rust's ownership and borrowing rules prevent data races without runtime mutexes. Concurrent order processing, position tracking, and risk checks operate on safely shared data structures without lock contention.
Rust's zero-overhead FFI integrates with DPDK and io_uring for processing market data feeds with sub-microsecond latency. User-space network stacks bypass the kernel entirely for the fastest possible packet processing.
No hidden allocations, no runtime overhead, no virtual dispatch unless explicitly opted in. Every nanosecond of latency is accounted for and controllable, critical when microseconds determine trading profitability.
Building high-frequency trading systems with Rust?
Our team has delivered hundreds of Rust projects. Talk to a senior engineer today.
Schedule a CallUse arena allocators (bumpalo crate) for per-trade memory allocation. Allocate all memory for a single trade from an arena, then reset the arena after the trade completes. This eliminates individual heap allocations and frees, reducing allocation overhead to nearly zero.
Rust has become the go-to choice for high-frequency trading systems because it balances developer productivity with production performance. The ecosystem maturity means fewer custom solutions and faster time-to-market.
| Layer | Tool |
|---|---|
| Language | Rust (nightly for SIMD intrinsics) |
| Networking | DPDK / io_uring bindings |
| Serialization | FlatBuffers / SBE (zero-copy) |
| IPC | Shared memory + lock-free queues |
| Storage | Memory-mapped files / custom allocators |
| Monitoring | Custom tick-to-trade latency tracking |
A Rust HFT system processes market data feeds through a pipeline optimized for nanosecond-level latency. Network packets arrive via DPDK (kernel bypass) and are deserialized using zero-copy formats like SBE (Simple Binary Encoding) that read fields directly from the network buffer without allocation. The market data handler updates an in-memory order book using lock-free data structures (crossbeam channels, atomic operations) that allow concurrent readers and writers without mutex contention.
Strategy signal generators evaluate market conditions against trading models, producing order signals that flow through a risk check pipeline. The risk engine validates position limits, exposure thresholds, and circuit breakers in constant time using pre-computed lookup tables. Orders are serialized into FIX or native exchange protocols and transmitted via pre-established TCP connections with Nagle's algorithm disabled.
Custom allocators use arena allocation patterns to eliminate per-trade heap allocation entirely. The entire tick-to-trade path is profiled at the nanosecond level using CPU timestamp counters (RDTSC), with latency histograms tracked per-trade for continuous optimization.
Our senior Rust engineers have delivered 500+ projects. Get a free consultation with a technical architect.