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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

To get the most out of 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.

Hardware/Software

Operating System requirements

g++ Compiler

Windows, macOS or Linux

VS Code

Windows, macOS or Linux

Intel oneTBB

Windows, macOS or Linux

Google Benchmarks

Windows, macOS or Linux

Ubuntu Guest Virtual Machine

Windows, macOS, or Linux

If you are using the digital version of this book, we advise you to type the code yourself or access the code from the book’s GitHub repository (a link is available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.

Note

The code provided in the chapters serves as an illustrative example of how one might implement a high-performance trading system. However, it is important to note that this code may lack certain important functions and should not be used in a production environment as it is. It is crucial to conduct thorough testing and add necessary functionalities to ensure the system’s robustness and reliability before deploying it in a live trading environment.

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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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