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Building Low Latency Applications with C++

You're reading from Building Low Latency Applications with C++ Develop a complete low latency trading ecosystem from scratch using modern C++

Product type Paperback

Published in Jul 2023

Publisher Packt

ISBN-13 9781837639359

Length 506 pages

Edition 1st Edition

Languages

C++

Concepts

Programming Language

Author (1):

Sourav Ghosh

View More author details

Table of Contents (19) Chapters

Preface

1. Part 1:Introducing C++ Concepts and Exploring Important Low-Latency Applications

2. Chapter 1: Introducing Low Latency Application Development in C++ FREE CHAPTER

3. Chapter 2: Designing Some Common Low Latency Applications in C++

4. Chapter 3: Exploring C++ Concepts from A Low-Latency Application’s Perspective

5. Chapter 4: Building the C++ Building Blocks for Low Latency Applications

6. Part 2:Building a Live Trading Exchange in C++

7. Chapter 5: Designing Our Trading Ecosystem

8. Chapter 6: Building the C++ Matching Engine

9. Chapter 7: Communicating with Market Participants

10. Part 3:Building Real-Time C++ Algorithmic Trading Systems

11. Chapter 8: Processing Market Data and Sending Orders to the Exchange in C++

12. Chapter 9: Building the C++ Trading Algorithm’s Building Blocks

13. Chapter 10: Building the C++ Market Making and Liquidity Taking Algorithms

14. Part 4:Analyzing and Improving Performance

15. Chapter 11: Adding Instrumentation and Measuring Performance

16. Chapter 12: Analyzing and Optimizing the Performance of Our C++ System

17. Index

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18. Other Books You May Enjoy

Who this book is for

This book is for beginner or intermediate-level C++ developers who want to learn how to build low latency systems. This book is also for C++ developers who are especially interested in learning about low latency electronic trading systems in C++.

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Authors (1)

Sourav Ghosh

Sourav Ghosh

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.

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