High-Frequency Trading System #

Project Overview #

Independently designed and developed a cutting-edge high-frequency trading system with industry-leading performance.

Key Features #

Modular Architecture: Utilizing advanced C++17 and key design patterns
- Observer pattern for event-driven architecture
- Factory method for flexible algorithm creation
- Strategy pattern for interchangeable trading strategies
Ultra-Low Latency Event Bus: Implemented using lock-free queues
Optimized WebSocket: For high-throughput market data and order execution
Memory-Mapped File I/O: Leveraging kernel-level page cache for asynchronous, low-latency disk operations

Performance Metrics #

Metric	Performance
Order Execution Latency	< 50 μs
Message Processing Throughput	> 1,000 messages/second

Technical Stack #

C++ (C++17)
WebSockets
Lock-free algorithms
Memory-mapped I/O
SIMD optimization
Event-driven architecture

Specializations #

Ultra-low latency systems
Concurrent programming
Design patterns
Market microstructure
Kernel-level optimizations

Project Highlights #

Advanced C++ Implementation: Leveraged cutting-edge C++17 features to create a robust and efficient system architecture.
Optimized Performance: Achieved industry-leading latency and throughput metrics through careful optimization and innovative design.
Scalable Architecture: Designed a modular system that can easily adapt to different trading strategies and market conditions.
Low-Level Optimizations: Utilized kernel-level optimizations and SIMD instructions to maximize performance.
Reliable Persistence: Implemented memory-mapped I/O for efficient and reliable data persistence with minimal impact on system latency.

Conclusion #

This project demonstrates a commitment to pushing the boundaries of performance in financial technology, consistently meeting and exceeding industry benchmarks for speed and reliability.