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Developing High-Frequency Trading Systems

You're reading from  Developing High-Frequency Trading Systems

Product type Book
Published in Jun 2022
Publisher Packt
ISBN-13 9781803242811
Pages 320 pages
Edition 1st Edition
Languages
Authors (3):
Sebastien Donadio Sebastien Donadio
Profile icon Sebastien Donadio
Sourav Ghosh Sourav Ghosh
Profile icon Sourav Ghosh
Romain Rossier Romain Rossier
Profile icon Romain Rossier
View More author details

Table of Contents (16) Chapters

Preface 1. Part 1: Trading Strategies, Trading Systems, and Exchanges
2. Chapter 1: Fundamentals of a High-Frequency Trading System 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

Logging and DB access

As we explained in Chapter 7, HFT Optimization – Logging, Performance, and Networking, logging is critical for any trading system. It enables users to debug strategies, improve the return, compare theoretical and actual profit and loss, and store information in databases. It always requires a costly input/output. Therefore, logging cannot be done on the critical path. Like C++, a specific technique is needed to achieve performance in Java.

When creating a log, it can store trades in a database or build a string in a flat file. When generating a string to be pushed in the logging system, creating a string is a very time-consuming construction. It is essential to consider the speed of the system and the object's reaction. For instance, log4j zeroGC is a zero object creation logging framework, but it will generate the log message before putting it on the logger thread queue (in this case, the disruptor from LMAX). Your main application thread will...

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