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C++ High Performance for Financial Systems

You're reading from  C++ High Performance for Financial Systems

Product type Book
Published in Mar 2024
Publisher Packt
ISBN-13 9781805124528
Pages 316 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Ariel Silahian Ariel Silahian
Profile icon Ariel Silahian
LinkedIn
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. He 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.
See other products by Ariel Silahian

Table of Contents (10) Chapters

Preface 1. Chapter 1: Introducing C++ in Finance and Trading 2. Chapter 2: System Design and Architecture 3. Chapter 3: High-Performance Computing in Financial Systems 4. Chapter 4: Machine Learning in Financial Systems 5. Chapter 5: Scalability in Financial Systems 6. Chapter 6: Low-Latency Programming Strategies and Techniques 7. Chapter 7: Advanced Topics in Financial Systems 8. Index 9. Other Books You May Enjoy

Implementation example – Scaling our financial trading system for increased volume and complexity

The trading system that we engineered for performance in the previous chapters must also incorporate scalability to accommodate future growth, assuring the ability to handle increased transaction volumes, and the introduction of new trading instruments and new markets, as well as the ability to expand our system globally for multiple access points, distributing the key processes for that.

The distribution of our system can go from having more order management systems (OMSs) access points or distributing strategies and models in different locations, depending on the markets we are trading on.

We have outlined the design and architecture of a financial trading system optimized for high-frequency operations. The task at hand is now to build upon this foundation, ensuring that the system can be scaled in response to increased market data, transactional demands, and the need to...

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Authors (1)

Profile icon Ariel Silahian
LinkedIn
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. He 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.
Read more
See other products by Ariel Silahian

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