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C++ High Performance for Financial Systems: Building Efficient and Optimized Financial systems leveraging the power of C++ - Softcover
Synopsis
An in-depth guide covering topics like system architecture, low-latency strategies, risk management, and machine learning for experienced programmers looking to enter the financial industry and build high-performance trading systems.
Key Features
- Comprehensive guide to building financial trading systems
- Focus on scalability, architecture, and implementation
- Must-read for experienced C++ developers venturing into finance
Book Description
Unlock the secrets of the finance industry and dive into the exhilarating world of high-performance trading systems with "C++ High Performance for Financial Systems." If you've ever dreamt of creating lightning-fast, scalable, and cutting-edge financial software, this comprehensive guide is your key to success.
Trading systems are the backbone of the financial world, and understanding how to build them with optimal performance is crucial for success. Fortunately, this book covers all aspects of crafting robust and high-performing trading systems, right from the ground up.
A cornerstone of this book is its comprehensive coverage of system design and architecture. You'll learn the principles and methodologies behind building systems that can handle vast amounts of data, execute complex trading strategies with ease, and maintain the highest levels of reliability. Armed with this knowledge, you'll be well-equipped to tackle even the most challenging trading scenarios.
In the fast-paced world of finance, every millisecond counts. The book delves into low-latency strategies that will enable your trading systems to react with lightning speed. Learn the art of reducing latency, optimizing code, and leveraging the latest hardware and software techniques to gain a competitive edge in the market.
What you will learn
- Design architecture of scalable financial trading systems
- Understand strategies for low-latency trading and high-frequency trading
- Learn the implementation of machine learning algorithms for financial data analysis
- Understand risk management techniques for financial trading systems
- Advanced topics in finance and trading, including algorithmic trading and portfolio optimization
- Understand best practices for developing financial trading systems with C++
Who This Book Is For
This book is ideal 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 C++ programming, 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.
Table of Contents
- Introduction
- System Design and Architecture
- High Performance Computing in Financial Systems
- Machine Learning in Financial Systems
- Scalability in Financial Systems
- Low Latency Strategies and Algorithms
- Risk Management in Financial Systems
- Advanced Topics in Financial Systems
- Conclusion
"synopsis" may belong to another edition of this title.
- PublisherPackt Publishing - ebooks Account
- Publication date2024
- ISBN 10 1805124528
- ISBN 13 9781805124528
- BindingPaperback
- LanguageEnglish
- Number of pages238
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