This is the code repository for C++ High Performance for Financial Systems, published by Packt.
Build efficient and optimized financial systems by leveraging the power of C++
If you’re a developer working in the financial industry, this book will show you how to optimize the performance of your C++ apps, from algorithm optimization and parallel programming to improving the speed and efficiency of your software.
This book covers the following exciting features:
- Design architecture for scalable financial trading systems
- Understand strategies for low-latency trading and high-frequency trading
- Discover how to implement machine learning algorithms for financial data analysis
- Understand risk management techniques for financial trading systems
- Explore advanced topics in finance and trading, including machine learning for algorithmic trading and portfolio optimization
- Get up to speed with best practices for developing financial trading systems with C++
If you feel this book is for you, get your copy today!
All of the code is organized into folders. For example, Chapter02.
Following is what you need for this book: This book is for experienced C++ developers who want to enter the finance industry and learn how trading systems work. It is also suitable for quantitative analysts, financial engineers, and anyone interested in building scalable and robust trading systems. The book assumes familiarity with the C++ programming language, data structures, and algorithms. Additionally, readers should have a basic understanding of finance and trading concepts, such as market data, trading strategies, and risk management.
With the following software and hardware list you can run all code files present in the book (Chapter 1-x).
| Chapter | Software required | OS required |
|---|---|---|
| 1-7 | g++ Compiler | Windows, macOS or Linux |
| 1-7 | VS Code | Windows, macOS or Linux |
| 1-7 | Intel oneTBB | Windows, macOS or Linux |
| 1-7 | Google Benchmarks | Windows, macOS or Linux |
Ariel Silahian is a seasoned software engineer with over 20 years of experience in the industry. With a strong background in C++ and .NET C#, Ariel has honed his technical skills to deliver successful projects for a range of financial institutions, including banks and financial trading companies, both domestically and internationally. Thanks to his passion for high-frequency and electronic trading systems he has developed a deep understanding of financial markets, resulting in his proven track record in delivering top-performing systems from scratch. Ariel has also worked on other critical systems such as monitoring systems, machine learning research, and management decision tree systems, and has received recognition for his exceptional work.