Advanced High-Frequency Trading (HFT) Systems with Low-Latency C++ Programming
This advanced course explores the full spectrum of HFT from system design, low-latency programming, and advanced algorithmic strategies to risk management, market microstructure, and deployment in production-like environments. Students will gain hands-on experience implementing and optimizing HFT strategies, integrating ultra-low-latency infrastructure, and backtesting under realistic market conditions.
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Course Duration:
36 Hours
Level:
Advanced
Course Objectives
Design and implement ultra-low-latency trading systems using advanced C++17/20 techniques.
Optimize multithreading, memory layout, and networking for HFT performance.
Build and manage high-performance order books and execution engines.
Integrate FPGA and hardware acceleration to further reduce latency.
Implement and backtest real-world HFT strategies, including market making, statistical arbitrage, and latency arbitrage.
Apply risk management, compliance, and fault-tolerant designs in production trading systems.
Profile, benchmark, and optimize end-to-end system latency and throughput.
Develop real-time analytics and predictive models to inform trading decisions.
Prerequisites
Strong proficiency in C++ (C++17/20)
Solid understanding of data structures, multithreading, and concurrency
Familiarity with financial markets and basic HFT concepts
Linux system administration experience
