Developing High-Frequency Trading Systems
Packt Publishing Limited (Verlag)
978-1-80611-411-5 (ISBN)
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Key Features
Second edition of the bestselling guide to developing high-frequency trading systems
Learn how to build high-frequency trading systems with ultra-low latency
Understand the critical components of a trading system
Optimize your systems with high-level programming techniques
Explore applications of generative AI in high-frequency trading systems
Book DescriptionThe 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 and Rust to achieve high levels of performance. And what book on trading is complete without diving into cryptocurrencies? You will learn how to perform high-frequency crypto trading with confidence. Wondering how to embrace generative AI? This guide delivers on that front as well.
By the end of this trading book, you’ll be ready to take on the markets with HFT systems.What you will learn
Understand the architecture of high-frequency trading systems
Boost system performance to achieve the lowest possible latency
Leverage the power of Python programming, C++, Rust and Java to build your trading systems
Bypass your kernel and optimize your operating system
Use static analysis to improve code development
Use C++ templates and Java multithreading for ultra-low latency
Apply your knowledge to cryptocurrency trading
Utilize generative AI
Who this book is forThis book is for software engineers, quantitative developers or researchers, and DevOps engineers who want to understand the technical side of high-frequency trading systems and the optimizations that are needed to achieve ultra-low latency systems. Prior experience working with C++, Java, Python or Rust will help you grasp the topics covered in this book more easily.
Martin Sewell comes from a multidisciplinary background. He holds a BSc (Hons) in Mathematics from the University of Bristol, an MSc in Computing Science from Birkbeck College, University of London and a PhD in the application of machine learning to financial time series analysis from the Department of Computer Science at UCL (University College London). At the University of Cambridge, he worked as a Senior Research Associate for the Department of Land Economy, a supervisor for the Faculty of Economics and a supervisor for the Computer Laboratory. He also worked for the Centre for Risk Studies at Judge Business School. In industry, he worked in research and development for nChain, a blockchain technology company, in quantitative research and development for Crypton, a digital asset management company, and as a developer in the Applied Innovation team for Arqit, a cybersecurity company. He has also been working as an Instructor for Scholarly, providing research mentorship in data science, machine learning, statistics and cryptocurrencies. Sourav Ghosh has worked in several proprietary, high-frequency algorithmic trading firms over the last decade. He has built and deployed extremely low latency, high-throughput automated trading systems for trading exchanges around the world, across multiple asset classes. He specializes in statistical arbitrage market-making and pairs trading strategies with the most liquid global futures contracts. He is currently the vice president at an investment bank based in São Paulo, Brazil. He holds a master's in computer science from the University of Southern California. His areas of interest include computer architecture, FinTech, probability theory and stochastic processes, statistical learning and inference methods, and natural language processing. Romain Rossier brings 19+ years of experience mostly as a Software Architect in the financial industry, specializing in low latency, high performance java software design and development. He is currently the Chief Architect for the HCTech FX Proprietary Trading engine. He also built and led the software development team at HCTech, where he oversaw and developed the HFT platform architecture for FX, Futures and Fixed Income. Prior to HCTech, Romain was Director of the Currenex lab where he led the team responsible for the development of the Currenex Intelligent Pricing System. Romain holds a Master of Science in Communication Systems from the Swiss Federal Institute of Technology in Lausanne. Sebastien Donadio is the Chief Technology Officer at Tradair, responsible for leading the technology. He has a wide variety of professional experience, including being head of software engineering at HC Technologies, partner and technical director of a high-frequency FX firm, a quantitative trading strategy software developer at Sun Trading, working as project lead for the Department of Defense. He also has research experience with Bull SAS, and an IT Credit Risk Manager with Socit Gnrale while in France. He has taught various computer science courses for the past ten years in the University of Chicago, NYU and Columbia University. His main passion is technology but he is also a scuba diving instructor and an experienced rock-climber.
Table of Contents
Fundamentals of a High-Frequency Trading System
The Critical Components of a Trading System
Understanding the Trading Exchange Dynamics
HFT System Foundations - From Hardware to OS
Networking in Motion
HFT Optimization - Architecture and Operating System
HFT Optimization - Logging, Performance, and Networking
C++ - The Quest for Microsecond Latency
Java and JVM for Low-Latency Systems
Python - Interpreted but Open to High Performance
Rust - Performance, Safety and Speed at Scale
High Frequency FPGA and Crypto
HFTand Generative AI
| Erscheinungsdatum | 05.07.2025 |
|---|---|
| Verlagsort | Birmingham |
| Sprache | englisch |
| Maße | 191 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik |
| Wirtschaft ► Betriebswirtschaft / Management ► Finanzierung | |
| Wirtschaft ► Volkswirtschaftslehre ► Makroökonomie | |
| ISBN-10 | 1-80611-411-9 / 1806114119 |
| ISBN-13 | 978-1-80611-411-5 / 9781806114115 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
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