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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

Summary

In this chapter, we have examined the complex and evolving landscape of quantitative finance, exploring the significant strides made through advanced modeling, computational techniques, and the strategic application of game theory. These advancements underscore the transformative impact of quantitative finance technologies on the industry, paving the way for more sophisticated, efficient, and transparent financial markets.

The impact of these technologies extends beyond mere analytical capabilities, influencing the very structure of financial markets and the strategies employed by participants. From the integration of stochastic models to the application of game theory in algorithmic trading, we’ve seen a shift towards a more data-driven, predictive approach to financial decision-making. These advancements contribute to enhanced market efficiency, risk management, and the potential for uncovering new investment opportunities.

Emerging trends, such as the application...

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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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