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Alex Krishtop - Getting Started with Forex Trading Using Python

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Alex Krishtop Getting Started with Forex Trading Using Python
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Discover the inner workings of todays forex market, the essential risks in forex algo trading, and how to mitigate themKey Features Build trading applications with research and without advanced Python programming skills Dive into professional fx trading while enhancing your trading apps to be more accurate Develop simple yet efficient backtesting applications to help keep your expectations realisticBook DescriptionAlgorithm-based trading is a popular choice for Python programmers due to its apparent simplicity. However, very few traders get the results they want, partly because they arent able to capture the complexity of the factors that influence the market. Getting Started with Forex Trading Using Python helps you understand the market and build an application that reaps desirable results.The book is a comprehensive guide to everything that is market-related: data, orders, trading venues, and risk. From the programming side, youll learn the general architecture of trading applications, systemic risk management, de-facto industry standards such as FIX protocol, and practical examples of using simple Python codes. Youll gain an understanding of how to connect to data sources and brokers, implement trading logic, and perform realistic tests. Throughout the book, youll be encouraged to further study the intricacies of algo trading with the help of code snippets.By the end of this book, youll have a deep understanding of the fx market from the perspective of a professional trader. Youll learn to retrieve market data, clean it, filter it, compress it into various formats, apply trading logic, emulate the execution of orders, and test the trading app before trading live.What you will learn Explore the forex market organization and operations Understand the sources of alpha and the concept of algo trading Get a grasp on typical risks and ways to mitigate them Understand fundamental and technical analysis Connect to data sources and check the integrity of market data Use API and FIX protocol to send orders Translate trading ideas into code Run reliable backtesting emulating real-world market conditionsWho this book is forThis book is for financial traders and python developers who are interested in forex trading. Academic researchers looking to focus on practical applications will find this book useful. This book can also help established fx market professionals who want to take the first steps in algo trading. Familiarity with Python and object-oriented programming within the scope of an online course or self-study is a must. Knowledge of network protocols and interfaces is a plus but not a prerequisite, as is specific knowledge about markets and trading.

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Getting Started with Forex Trading Using Python Beginners guide to the currency - photo 1
Getting Started with Forex Trading Using Python

Beginners guide to the currency market and development of trading algorithms

Alex Krishtop

BIRMINGHAMMUMBAI Getting Started with Forex Trading Using Python Copyright 2023 - photo 2

BIRMINGHAMMUMBAI

Getting Started with Forex Trading Using Python

Copyright 2023 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

Publishing Product Manager: Apeksha Shetty

Senior Editor: Tazeen Shaikh

Technical Editor: Kavyashree K S

Copy Editor: Safis Editing

Project Coordinator: Farheen Fathima

Proofreader: Safis Editing

Indexer: Sejal Dsilva

Production Designer: Vijay Kamble

Marketing Coordinator: Nivedita Singh

First published: March 2023

Production reference: 1240223

Published by Packt Publishing Ltd.

Livery Place

35 Livery Street

Birmingham

B3 2PB, UK.

ISBN 978-1-80461-685-7

www.packtpub.com

To my loving wife, Emily, without whose perpetual kicking I would have never accomplished this book.

And to my son, Daniel, who is making his first steps in the weird world of data science and Python programming.

Alex Krishtop

Contributors
About the author

Alex Krishtop is a quantitative trader and researcher with 20 years of experience in developing automated trading solutions. He is currently the head of trading and research at Edgesense Technologies and CTO at ForexVox Ltd. He develops market models and trading algorithms for FX, commodities, and crypto. He was one of the first traders who started using Python as the ultimate environment for quantitative trading and suggested a few approaches to developing trading apps that, today, have become standard among many quant traders. He has worked as a director of education with the Algorithmic Traders Association, where he developed an exhaustive course in systematic and algo trading, which covers the worlds of both quantitative models and discretionary approaches.

About the reviewer

Andrey Lyashenko is a VP quantitative analyst at one of the largest investment banks in Eastern Europe and has around 20 years of experience in information technologies and finance in various roles. He has worked primarily in the development of high-availability and high-performance systems (including trading platforms) and has experience in private equity and leveraged algorithmic trading in financial markets. In trading, he takes a systematic, science-based approach to developing and implementing investment strategies.

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