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Developing High-Frequency Trading Systems

You're reading from   Developing High-Frequency Trading Systems Learn how to implement high-frequency trading from scratch with C++ or Java basics

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Product type Paperback
Published in Jun 2022
Publisher Packt
ISBN-13 9781803242811
Length 320 pages
Edition 1st Edition
Languages
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Authors (3):
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Sebastien Donadio Sebastien Donadio
Author Profile Icon Sebastien Donadio
Sebastien Donadio
Sourav Ghosh Sourav Ghosh
Author Profile Icon Sourav Ghosh
Sourav Ghosh
Romain Rossier Romain Rossier
Author Profile Icon Romain Rossier
Romain Rossier
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Toc

Table of Contents (16) Chapters Close

Preface 1. Part 1: Trading Strategies, Trading Systems, and Exchanges
2. Chapter 1: Fundamentals of a High-Frequency Trading System FREE CHAPTER 3. Chapter 2: The Critical Components of a Trading System 4. Chapter 3: Understanding the Trading Exchange Dynamics 5. Part 2: How to Architect a High-Frequency Trading System
6. Chapter 4: HFT System Foundations – From Hardware to OS 7. Chapter 5: Networking in Motion 8. Chapter 6: HFT Optimization – Architecture and Operating System 9. Chapter 7: HFT Optimization – Logging, Performance, and Networking 10. Part 3: Implementation of a High-Frequency Trading System
11. Chapter 8: C++ – The Quest for Microsecond Latency 12. Chapter 9: Java and JVM for Low-Latency Systems 13. Chapter 10: Python – Interpreted but Open to High Performance 14. Chapter 11: High-Frequency FPGA and Crypto 15. Other Books You May Enjoy

Summary

In this chapter, we covered a lot of modern C++ 14, 17, and 20 features for multi-threaded and ultra-low latency applications that deal with shared memory interactions. We also covered static analysis for application development. Finally, we discussed runtime performance optimization techniques that move as much decision, code evaluation, and code branching away from runtime into compile time as possible. The contents of this chapter address the major design and development decisions and techniques critical to the development and performance of C++ HFT applications.

We also saw how to build an HFT system for a small hedge fund specialized in FX. In the next chapter, we will learn about the usage of Java in an ultra-low-latency system such as an HFT system.

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