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
Path 1: The Foundation Builder (Recommended for Beginners)
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)
- “Building Low Latency Applications with C++” by Sourav Ghosh - Step-by-step trading system
- “Rust Atomics and Locks” by Mara Bos - Definitive lock-free guide for Rust
- “Computer Systems: A Programmer’s Perspective” by Bryant & O’Hallaron - CPU/memory fundamentals
- “The Linux Programming Interface” by Kerrisk - Systems programming reference
- “Developing High-Frequency Trading Systems” by Donadio, Ghosh, Rossier - Multi-language approach
GitHub Repositories
- aspone/OrderBook - C++ low-latency order book (300-600ns)
- Building-Low-Latency-Applications-with-CPP - Full trading system
- awesome-lockfree - Curated lock-free resources
Articles & Talks
- Rust vs C++ for trading systems - Modern language comparison
- Fear and Loathing in Lock-Free Programming - Mental models
- CppCon talks on low-latency (search “CppCon low latency” on YouTube)
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
- Read the first project guide: P01-limit-order-book-engine.md
- Set up your environment following the prerequisites
- Build first, optimize later - Get it working, then make it fast
- Measure everything - Use perf, flamegraph, and custom benchmarks
- 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.