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Key benefits

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 realistic

Description

Algorithm-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 aren’t 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, you’ll 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. You’ll gain an understanding of how to connect to data sources and brokers, implement trading logic, and perform realistic tests. Throughout the book, you’ll be encouraged to further study the intricacies of algo trading with the help of code snippets. By the end of this book, you’ll have a deep understanding of the fx market from the perspective of a professional trader. You’ll 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.

Who is this book for?

This 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.

What you will learn

Explore the forex market organization and operations

Comprehend the sources of alpha and the concept of algo trading

Get a grasp on typical risks and ways to mitigate them

Understand the essentials of 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 conditions

What do you get with Print?

Instant access to your digital copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Redeem a companion digital copy on all Print orders

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

$34.99

Getting Started with Forex Trading Using Python

$36.99

Machine Learning for Algorithmic Trading

$57.99

Total $ 129.97

FAQs

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What is the delivery time and cost of print books?

Shipping Details

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Premium: Trackable Delivery to most addresses in the US within 3-8 business days

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Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

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Unfortunately, due to several restrictions, we are unable to ship to the following countries:

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D Whitman Apr 15, 2023

Having spent years developing stock trading systems, I've encountered countless books on trading systems that present cherry-picked examples and ultimately waste the reader's time. But "Getting Started with Forex Trading Using Python" by Alex Krishtop is different.This book offers a wealth of information on Forex trading and provides a true understanding of what it takes to succeed in the market. The author's emphasis on performance analysis, trade analysis, and risk management is particularly noteworthy, providing crucial insights into the development of successful trading systems that are often overlooked in other books.The book's Python examples are invaluable. They demonstrate step-by-step how to retrieve market data, develop trading strategies using technical analysis, visualize data, perform backtesting, and measure performance. The result is a practical, hands-on guide that allows the reader to easily grasp the concepts and put them into practice."Getting Started with Forex Trading Using Python" is not just an excellent introduction to Forex trading; it offers much more. It is a must-read for anyone serious about algorithmic trading in the Forex market.

Amazon Verified review

Amazon Customer Apr 23, 2023

I was given this book to review. I would buy it regardless because I am interested in ForEx so this was right up my alley.Let me first start with what this book is not.This book is not for a moderate level quant who wants to expand into ForEx, but rather an introductory text overall to trading in general and what to look for with a dash of information on ForEx.So it makes a great book to get into quant trading in general, but don't expect to be approaching this from a moderately skilled level and above and just focusing on what you need to know for ForEx.In other words, it describes a lot of redundant things that a quant maybe already know, such as moving averages, and what have you as if you had no background on it.

Om S Apr 22, 2023

Getting Started with Forex Trading Using Python" is a comprehensive guide for Python developers and financial traders interested in forex trading. The book aims to help readers understand the market, build applications that yield desirable results, and develop backtesting applications to keep their expectations realistic.The book covers topics such as market organization and operations, sources of alpha and algo trading, typical risks and ways to mitigate them, fundamental and technical analysis, connecting to data sources, API and FIX protocol, and running reliable backtesting. By the end of the book, readers are expected to have a deep understanding of the forex market, be able to translate trading ideas into code, and run reliable backtesting that emulates real-world market conditions.

Getting Started with Forex Trading Using Python: Beginner's guide to the currency market and development of trading algorithms

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Getting Started with Forex Trading Using Python: Beginner's guide to the currency market and development of trading algorithms

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