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Developing High-Frequency Trading Systems

Developing High-Frequency Trading Systems

By : Sebastien Donadio, Sourav Ghosh, Romain Rossier
4.1 (18)
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Developing High-Frequency Trading Systems

Developing High-Frequency Trading Systems

4.1 (18)
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)
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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

Introducing Python

Python is the most used programming language on the planet (one-third of all new code is written in Python). This language is used in software development. Python is a relatively simple language to learn and it is a high-level programming language that uses type inference, which is interpreted. Unlike C/C++, which requires you to concentrate on memory management and the hardware aspects of the computer you're programming, Python handles the internal implementation, such as memory management. As a consequence, this language will make it easier to concentrate on writing trading algorithms.

Python is a flexible language that can construct applications in any sector. Python has been extensively used for years. The Python community is vast enough to provide many important libraries for your trading strategy, spanning from data analytics, machine learning, data extraction, and runtime, to communication; the list of open source libraries is enormous.

Python...

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