High-Frequency Trading (HFT) Development in C++ or Rust - Expanded Project Guides

Generated from: HIGH_FREQUENCY_TRADING_CPP_RUST_LEARNING_PROJECTS.md

Overview

Master the art of high-frequency trading system development through hands-on projects that force you to understand performance at the deepest levels: CPU cache lines, memory allocation, lock-free programming, network latency, and systems architecture.

This collection takes you from building fundamental components (order books, lock-free queues) to creating a complete trading ecosystem. Each project builds on the previous, teaching you the skills that separate hobby programmers from HFT engineers.

HFT System Architecture
┌─────────────────────────────────────────────────────────────────────┐
│                        TRADING SYSTEM                                │
│  ┌──────────────┐    ┌──────────────┐    ┌──────────────┐          │
│  │ Market Data  │───►│   Strategy   │───►│   Gateway    │          │
│  │   Handler    │    │   Engine     │    │  (Orders)    │          │
│  │  (P2: Lock-  │    │  (P4: Back-  │    │              │          │
│  │   free Q)    │    │   tester)    │    │              │          │
│  └──────────────┘    └──────────────┘    └──────────────┘          │
│         ▲                   │                   │                   │
│         │                   ▼                   ▼                   │
│  ┌──────────────┐    ┌──────────────┐    ┌──────────────┐          │
│  │  Exchange    │◄───│    Risk      │◄───│   Order      │          │
│  │  Simulator   │    │   Manager    │    │    Book      │          │
│  │  (P3: Match  │    │              │    │   (P1)       │          │
│  │   Engine)    │    │              │    │              │          │
│  └──────────────┘    └──────────────┘    └──────────────┘          │
│                                                                      │
│  Memory Layer: Custom Allocators (P5) throughout                    │
│  Final Integration: P6 - Full HFT Trading System                    │
└─────────────────────────────────────────────────────────────────────┘

Project Index

# Project Difficulty Time Key Focus Link
1 Limit Order Book Engine Intermediate 1-2 weeks Cache-friendly data structures, order matching P01-limit-order-book-engine.md
2 Lock-Free Market Data Handler Advanced 2-3 weeks Atomics, memory ordering, SPSC queues P02-lock-free-market-data-handler.md
3 Simple Matching Engine Advanced 3-4 weeks Event-driven I/O, protocol design, TCP P03-simple-matching-engine.md
4 Trading Strategy Backtester Intermediate 2-3 weeks Event replay, simulation, quant metrics P04-trading-strategy-backtester.md
5 Custom Memory Allocator Intermediate 1 week Pool/arena allocators, malloc replacement P05-custom-memory-allocator.md
6 Full HFT Trading System Expert 2-3 months System integration, end-to-end latency P06-full-hft-trading-system.md

Learning Paths

For those new to HFT but with solid C++/Rust fundamentals:

Week 1-2:   P01 Order Book ──────────────────────────────►
Week 3:     P05 Memory Allocator ─► Integrate into P01 ──►
Week 4-6:   P02 Lock-Free Queue ─────────────────────────►
Week 7-10:  P03 Matching Engine ─────────────────────────►
Week 11-13: P04 Backtester ──────────────────────────────►
Week 14+:   P06 Full System ─────────────────────────────►

Path 2: The Latency Hunter (For Performance-Focused Engineers)

Start with memory and lock-free fundamentals:

Week 1:     P05 Memory Allocator ────────────────────────►
Week 2-4:   P02 Lock-Free Queue ─────────────────────────►
Week 5-6:   P01 Order Book (with allocator) ─────────────►
Week 7-10:  P03 Matching Engine ─────────────────────────►
Week 11+:   P06 Full System (skip backtester) ───────────►

Path 3: The Quant Developer (Strategy-Focused)

For those interested in the trading/strategy side:

Week 1-2:   P01 Order Book ──────────────────────────────►
Week 3-5:   P04 Backtester ──────────────────────────────►
Week 6-8:   P03 Matching Engine (strategy integration) ──►
Week 9+:    P06 Full System (focus on strategy layer) ───►

Core Concepts Mastered

Concept Primary Project Why It Matters
Cache-line optimization P01, P02 Cache misses cost ~100 cycles; hits cost ~4
Lock-free programming P02 Mutexes add microseconds; atomics add nanoseconds
Memory pooling P05 malloc() is non-deterministic and slow
Event-driven I/O P03 epoll/io_uring handle 100K+ connections
Binary protocols P03 JSON is too slow; binary is O(1) parse
Market microstructure P01, P04 Understanding how markets actually work

Prerequisites

Essential (Must Have)

  • Proficiency in C++ (C++17+) or Rust
  • Understanding of basic data structures (maps, queues, trees)
  • Basic threading concepts (threads, mutexes, condition variables)
  • Linux/Unix command line proficiency
  • Git version control

Helpful (Will Accelerate Learning)

  • Systems programming experience
  • Basic networking (TCP/IP, sockets)
  • Understanding of CPU architecture (caches, pipelining)
  • Financial markets basics (orders, trades, positions)

Development Environment

  • OS: Linux recommended (Ubuntu 22.04+ or similar)
  • Compiler: GCC 12+ or Clang 15+ (C++), Rust 1.70+ (Rust)
  • Tools: perf, valgrind, flamegraph, heaptrack
  • IDE: VSCode with C++/Rust extensions, or CLion

Language Choice Guide

Factor Choose C++ Choose Rust
Existing codebase Most HFT firms use C++ Greenfield projects
Safety requirements When you need manual control When memory safety is critical
Library ecosystem More HFT-specific libraries Growing but smaller
Job market Traditional finance/HFT Tech companies, crypto
Learning curve Steeper (undefined behavior) Safer (compiler catches errors)

Project Comparison

Project Depth Fun Resume Value Real-World Applicability
P01 Order Book ⭐⭐⭐⭐⭐ ⭐⭐⭐⭐ ⭐⭐⭐⭐⭐ Core of every exchange
P02 Lock-Free ⭐⭐⭐⭐⭐ ⭐⭐⭐ ⭐⭐⭐⭐⭐ Essential HFT skill
P03 Matching Engine ⭐⭐⭐⭐⭐ ⭐⭐⭐⭐⭐ ⭐⭐⭐⭐⭐ Exchange infrastructure
P04 Backtester ⭐⭐⭐⭐ ⭐⭐⭐⭐⭐ ⭐⭐⭐⭐ Quant essential tool
P05 Allocator ⭐⭐⭐⭐ ⭐⭐⭐ ⭐⭐⭐⭐ Systems programming
P06 Full System ⭐⭐⭐⭐⭐ ⭐⭐⭐⭐⭐ ⭐⭐⭐⭐⭐ Complete HFT experience

Key Resources

Books (In Order of Importance)

  1. “Building Low Latency Applications with C++” by Sourav Ghosh - Step-by-step trading system
  2. “Rust Atomics and Locks” by Mara Bos - Definitive lock-free guide for Rust
  3. “Computer Systems: A Programmer’s Perspective” by Bryant & O’Hallaron - CPU/memory fundamentals
  4. “The Linux Programming Interface” by Kerrisk - Systems programming reference
  5. “Developing High-Frequency Trading Systems” by Donadio, Ghosh, Rossier - Multi-language approach

GitHub Repositories

Articles & Talks

Success Metrics

By completing these projects, you’ll be able to:

  • Build order books with sub-microsecond operations
  • Implement lock-free data structures correctly
  • Design binary protocols for minimal latency
  • Use epoll/io_uring for high-throughput networking
  • Profile and optimize for cache efficiency
  • Create custom allocators for deterministic performance
  • Integrate multiple components into a trading system
  • Measure and reason about latency at nanosecond granularity

Getting Started

  1. Read the first project guide: P01-limit-order-book-engine.md
  2. Set up your environment following the prerequisites
  3. Build first, optimize later - Get it working, then make it fast
  4. Measure everything - Use perf, flamegraph, and custom benchmarks
  5. Join the community - HFT Discord servers, r/algotrading, Hacker News

Remember: HFT is about understanding the machine at the deepest level. Every project here forces you to confront a fundamental truth about how computers actually work. Embrace the struggle - that’s where the learning happens.