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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

Concepts

Financial Technology

Authors (3):

Sebastien Donadio

Sourav Ghosh

Romain Rossier

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Table of Contents (16) Chapters

Preface

Part 1: Trading Strategies, Trading Systems, and Exchanges

Chapter 1: Fundamentals of a High-Frequency Trading System

Chapter 2: The Critical Components of a Trading System

Chapter 3: Understanding the Trading Exchange Dynamics

Part 2: How to Architect a High-Frequency Trading System

Chapter 4: HFT System Foundations – From Hardware to OS

Chapter 5: Networking in Motion

Chapter 6: HFT Optimization – Architecture and Operating System

Chapter 7: HFT Optimization – Logging, Performance, and Networking

Part 3: Implementation of a High-Frequency Trading System

Chapter 8: C++ – The Quest for Microsecond Latency

Chapter 9: Java and JVM for Low-Latency Systems

Chapter 10: Python – Interpreted but Open to High Performance

Chapter 11: High-Frequency FPGA and Crypto

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A context switch in computer science is the operation or set of tasks by which all the states associated with a running process or thread is saved and the state associated with a different process or thread to be run next is restored so that it can resume where the execution left off. The principle of context switching is the cornerstone on which modern Operating Systems' (OSs') support for multitasking is based, and which gives the illusion of running a lot more processes than the number of CPU cores available in the hardware.

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Context switches can be performed in hardware or software. In hardware context switching, special hardware features such as Task State Segments (TSSs) can be used to save the register...

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Authors (3)

Sebastien Donadio

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.

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Sourav Ghosh

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.

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Romain Rossier

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.

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