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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++

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Product type Paperback
Published in Jul 2023
Publisher Packt
ISBN-13 9781837639359
Length 506 pages
Edition 1st Edition
Languages
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Author (1):
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Sourav Ghosh Sourav Ghosh
Author Profile Icon Sourav Ghosh
Sourav Ghosh
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Toc

Table of Contents (19) Chapters Close

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 18. Other Books You May Enjoy

Summary

We started the C++ implementation of our electronic trading ecosystem in this chapter. The first component we built was the exchange matching engine in charge of accepting and answering order requests from the order server component in the exchange infrastructure. This component is also responsible for generating and publishing market data updates to the market data publisher component in the exchange’s infrastructure.

First, we declared some assumptions in our matching engine and limit order books. We also defined a couple of basic Plain Old Data (POD)-style structures to encapsulate information for a single order in the limit order book, a single order request sent from the order server, an order response sent back to the order server, and a single market data update. We showed how to use the lock-free queue to facilitate communication between the matching engine and order server and market data publisher for order requests, order responses, and market data updates...

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