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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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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

Measuring latencies at the exchange

First, we will add instrumentation to the components on the electronic trading exchange side – the market data publisher, the matching engine, and the order server. Our approach to measuring performance will comprise two forms; let us understand those first before we look at the code.

Understanding how to measure internally

The first approach is to measure the latency of internal components – for example, how long does a call to the Exchange::MatchingEngine::processClientRequest() method take or how long does a call to the Exchange::MEOrderBook::add() method take? For these cases, we will use a pair of START_MEASURE() and END_MEASURE() macros, which, in turn, use the rdtsc() method to measure the performance of each such call. There is nothing here that prevents us from using the TTT_MEASURE() macro in place of rdtsc() or as a supplement. But we will use rdtsc() for these, for the sake of providing examples of how to use the two...

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