Rust High-Frequency Quantitative Trading System
The article explains why adding 0.1 and 0.2 in Rust (and other IEEE‑754 languages) yields 0.30000000000000004, explores the binary representation limits of f64, introduces the ULP concept, and details how the Ryū algorithm produces the shortest correct decimal string for floating‑point numbers.
The article explains how Rust’s ustr library implements string interning to store each unique string only once, offering O(1) pointer‑based comparison, pre‑computed hashing, zero‑cost cloning, seamless C FFI, and thread‑safe usage, while also detailing its internal design, usage patterns, suitable scenarios, and trade‑offs.
Mole is an open‑source macOS command‑line tool that consolidates system cleaning, app uninstallation, disk analysis, system optimization, real‑time monitoring and other maintenance tasks, installable via Homebrew or a script, and emphasizes safe dry‑run previews for developers and power users.
The article explains how high‑frequency trading systems suffer tail‑latency spikes due to memory placement and NUMA effects, and provides a step‑by‑step guide to redesign thread, data, and cache layouts for deterministic low‑latency performance.
The article dissects intranode latency in high‑frequency trading systems, tracing the packet journey from the NIC through the kernel, socket and user‑space to the strategy thread, and explains how interrupts, CPU affinity, RSS, Nagle, UDP and kernel‑bypass techniques affect microsecond‑level jitter and tail latency.
The article analyzes how high‑frequency trading performance hinges on minimizing geographic, network, and system latency—through colocation, microwave links, kernel bypass, FPGA acceleration, and server‑level optimizations—while emphasizing that low and stable latency, not just fast code, determines success.
This article explains Rust’s std::thread::park/unpark primitives, demonstrates their lost‑wake‑up pitfall, introduces crossbeam’s Parker/Unparker with a token‑based memory feature that eliminates the issue, and provides multiple code examples and usage guidelines for high‑performance thread synchronization.
The article walks through four incremental designs—from naïve println! logging to an enum‑based, zero‑allocation approach—showing how each step reduces latency in Rust, with benchmark numbers dropping from ~1769 ns to ~128 ns, and explains the reasoning, code, and trade‑offs.
The article explains why Tick‑to‑Trade (T2T) latency is critical for HFT, describes three measurement layers—application, kernel, and hardware/wire—and compares their accuracy, complexity, and use cases, then offers practical steps and metrics for beginning T2T latency monitoring.
This article explains how the Crossbeam library extends Rust’s standard concurrency primitives by providing efficient MPMC channels, lock‑free data structures, scoped threads, and atomic memory tools, and demonstrates their use through concrete code examples and a detailed lock‑free queue design.
