An in-depth guide covering system architecture, low-latency strategies, risk management, and machine learning for experienced programmers looking to enter the financial industry and build high-performance trading systemsKey FeaturesGet started with building financial trading systems
Focus on scalability, architecture, and implementing low-latency network communication in C++
Optimize code and use parallel computing techniques for better performance
Purchase of the print or Kindle book includes a free PDF eBook

Book Description
Unlock the secrets of the finance industry and dive into the world of high-performance trading systems with C++ High Performance for Financial Systems. Trading systems are the backbone of the financial world, and understanding how to build them for optimal performance is crucial for success. If you've ever dreamt of creating scalable and cutting-edge financial software, this guide is your key to success.
A cornerstone of this book is its coverage of system design and architecture. The book starts by outlining the role of C++ in finance and trading. 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 equipped to tackle even the most challenging trading scenarios.
In the fast-paced world of finance, every millisecond counts. This book delves into low-latency strategies that will enable your trading systems to react with lightning speed. You'll also learn the art of reducing latency, optimizing code, and leveraging the latest hardware and software techniques to gain a competitive edge in the market.
By the end of this book, you'll be well-versed in architecting a financial trading system as well as advanced strategies and new industry trends.What you will learnDesign 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++

Who this book is for
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.Table of ContentsIntroduction
System Design and Architecture
High Performance Computing in Financial Systems
Machine Learning in Financial Systems
Scalability in Financial Systems
Low Latency Strategies and Algorithms
Advanced Topics in Financial Systems