High-Frequency Trading Mastery: 100 Labs (C++ & Rust) https://WebToolTip.com Published 8/2026 Created by Dar Al Taqniya MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All Levels | Genre: eLearning | Language: English | Duration: 112 Lectures ( 13h 24m ) | Size: 1.1 GB From software developer to production HFT engineer by building a complete ultra-low latency trading platform. What you'll learn âš¡ Architect deterministic ultra-low latency trading systems using modern C++ and Rust. âš¡ Build production-grade FIX gateways, market data handlers, and matching engines from scratch. âš¡ Master Linux performance engineering including NUMA, HugePages, CPU isolation, real-time scheduling, and kernel tuning. âš¡ Implement lock-free data structures, cache-aware memory layouts, custom allocators, and zero-allocation execution pipelines. âš¡ Design and optimize kernel-bypass networking using DPDK, hardware timestamps, multicast, and zero-copy packet processing. âš¡ Engineer enterprise-grade pre-trade risk controls, audit logging, regulatory compliance, and operational resilience. âš¡ Deploy observable, measurable, and production-ready infrastructure using Prometheus, Grafana, Ansible, and automated CI pipelines. âš¡ Analyze latency at microsecond precision using profiling, benchmarking, telemetry, and deterministic replay techniques. âš¡ Understand how modern exchanges, proprietary trading firms, and market makers engineer reliable electronic trading infrastructure. âš¡ Deliver a complete enterprise-grade High-Frequency Trading Platform during the 100-Lab Capstone project that demonstrates production engineering skills from ope Requirements â— You should have â— 1. Basic programming knowledge in any language (C++, Rust, Java, Go, Python, or C) â— 2. Basic Linux command-line familiarity â— 3. Understanding of variables, functions, loops, and data structures â— 4. Curiosity about systems programming and performance engineering â— Recommended Software â— 1. Ubuntu Linux 24.04 LTS (or compatible Linux distribution) â— 2. Modern C++ compiler (GCC or Clang) â— 3. Rust Stable Toolchain â— 4. Visual Studio Code or CLion (optional) â— Recommended Hardware â— 1. 64-bit x86 CPU with virtualization support â— 2. 16 GB RAM minimum (32 GB recommended) â— 3. Quad-core processor or higher â— 4. SSD storage