Book Image

Developing High-Frequency Trading Systems

By : Sebastien Donadio, Sourav Ghosh, Romain Rossier
5 (1)
Book Image

Developing High-Frequency Trading Systems

5 (1)
By: Sebastien Donadio, Sourav Ghosh, Romain Rossier

Overview of this book

The world of trading markets is complex, but it can be made easier with technology. Sure, you know how to code, but where do you start? What programming language do you use? How do you solve the problem of latency? This book answers all these questions. It will help you navigate the world of algorithmic trading and show you how to build a high-frequency trading (HFT) system from complex technological components, supported by accurate data. Starting off with an introduction to HFT, exchanges, and the critical components of a trading system, this book quickly moves on to the nitty-gritty of optimizing hardware and your operating system for low-latency trading, such as bypassing the kernel, memory allocation, and the danger of context switching. Monitoring your system’s performance is vital, so you’ll also focus on logging and statistics. As you move beyond the traditional HFT programming languages, such as C++ and Java, you’ll learn how to use Python to achieve high levels of performance. And what book on trading is complete without diving into cryptocurrency? This guide delivers on that front as well, teaching how to perform high-frequency crypto trading with confidence. By the end of this trading book, you’ll be ready to take on the markets with HFT systems.
Table of Contents (16 chapters)
1
Part 1: Trading Strategies, Trading Systems, and Exchanges
5
Part 2: How to Architect a High-Frequency Trading System
10
Part 3: Implementation of a High-Frequency Trading System

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...