Udemy - High-Frequency Trading Mastery - 100 Labs (C + + and Rust) torrent

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

⚡ Architect deterministic ultra-low latency trading systems using modern C++ and Rust.

⚡ Build production-grade FIX gateways, market data handlers, and matching engines from scratch.

⚡ Master Linux performance engineering including NUMA, HugePages, CPU isolation, real-time scheduling, and kernel tuning.

⚡ Implement lock-free data structures, cache-aware memory layouts, custom allocators, and zero-allocation execution pipelines.

⚡ Design and optimize kernel-bypass networking using DPDK, hardware timestamps, multicast, and zero-copy packet processing.

⚡ Engineer enterprise-grade pre-trade risk controls, audit logging, regulatory compliance, and operational resilience.

⚡ Deploy observable, measurable, and production-ready infrastructure using Prometheus, Grafana, Ansible, and automated CI pipelines.

⚡ Analyze latency at microsecond precision using profiling, benchmarking, telemetry, and deterministic replay techniques.

⚡ Understand how modern exchanges, proprietary trading firms, and market makers engineer reliable electronic trading infrastructure.

⚡ Deliver a complete enterprise-grade High-Frequency Trading Platform during the 100-Lab Capstone project that demonstrates production engineering skills from ope
Requirements

❗ You should have

❗ 1. Basic programming knowledge in any language (C++, Rust, Java, Go, Python, or C)

❗ 2. Basic Linux command-line familiarity

❗ 3. Understanding of variables, functions, loops, and data structures

❗ 4. Curiosity about systems programming and performance engineering

❗ Recommended Software

❗ 1. Ubuntu Linux 24.04 LTS (or compatible Linux distribution)

❗ 2. Modern C++ compiler (GCC or Clang)

❗ 3. Rust Stable Toolchain

❗ 4. Visual Studio Code or CLion (optional)

❗ Recommended Hardware

❗ 1. 64-bit x86 CPU with virtualization support

❗ 2. 16 GB RAM minimum (32 GB recommended)

❗ 3. Quad-core processor or higher

❗ 4. SSD storage