Understand the impact of reducing latencies on latency sensitive applications.
C++ is a general-purpose programming language designed with the goals of efficiency, performance, and flexibility in mind. Nevertheless, real-time low latency applications have very specific requirements in terms of performance latencies.
In this book, you will learn about the performance requirements for low latency applications, the C++ features that are critical to achieve the required performance latencies, and learn to build a low latency system in C++ from scratch to solidify your understanding of the C++ principles and techniques involved.
You will understand the similarities between such applications, understand the business impact that performance latencies have, and why so much effort is invested to minimize latencies. We will build an entire electronic trading system - matching engine, market data handlers, order gateways and trading algorithms in C++ to teach you the step-by-step low latency development journey from scratch. Additionally, measuring performance and optimizing the critical path is a necessary and continuous process, so we will measure and optimize the performance of our trading system that we build.
By the end of this book, you will have a comprehensive understanding of how to design and build low latency applications in C++ from scratch and minimize performance latencies.
This book is for C++ developers who wish to learn about low latency applications and how to design and develop them effectively. C++ Software engineers looking to apply their knowledge to low latency trading systems like HFT can also learn about which specific C++ features matter and which ones to avoid. Quantitative researchers in the trading industry who wish to learn more about the low latency implementation details can also benefit from this book. The basic requirements for this book are - familiarity with Linux and familiarity with the C++ programming language.
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Sourav Ghosh has worked in several proprietary, high-frequency algorithmic trading firms over the last decade. He has built and deployed extremely low latency, high-throughput automated trading systems for trading exchanges around the world, across multiple asset classes. He specializes in statistical arbitrage market-making and pairs trading strategies with the most liquid global futures contracts. He is currently the vice president at an investment bank based in São Paulo, Brazil. He holds a master’s in computer science from the University of Southern California. His areas of interest include computer architecture, FinTech, probability theory and stochastic processes, statistical learning and inference methods, and natural language processing.
"About this title" may belong to another edition of this title.
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