C++ for Quantitative Finance
“A 10-week, rigorous learning roadmap for a Physics graduate to master C++ for quantitative research roles. The path emphasizes performance, modern C++ features (C++17/20), and direct application to financial modeling and low-latency systems.”
Module 1: C++ Core, Memory, and Toolchain
By the end of this module you will be able to compile, debug, and manage memory for a non-trivial C++ application using a professional toolchain.
Module 2: Object-Oriented Design and Generic Programming
By the end of this module you will be able to design and implement reusable, type-safe components using object-oriented principles and templates.
Module 3: Concurrency and High-Performance Computing
By the end of this module you will be able to write and reason about multi-threaded C++ code for performance-critical tasks.
Module 4: Numerical Libraries and Interoperability
By the end of this module you will be able to integrate and utilize industry-standard numerical libraries for quantitative analysis.
Module 5: Low-Latency Systems and Final Project
By the end of this module you will be able to design and implement a basic low-latency order matching engine, applying all learned concepts.
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