Getting Started with Forex Trading Using Python
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Getting Started with Forex Trading Using Python
By:
Overview of this book
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.
Table of Contents (21 chapters)
Preface
Part 1: Introduction to FX Trading Strategy Development
Free Chapter
Chapter 1: Developing Trading Strategies – Why They Are Different
Chapter 2: Using Python for Trading Strategies
Chapter 3: FX Market Overview from a Developer's Standpoint
Part 2: General Architecture of a Trading Application and A Detailed Study of Its Components
Chapter 4: Trading Application: What’s Inside?
Chapter 5: Retrieving and Handling Market Data with Python
Chapter 6: Basics of Fundamental Analysis and Its Possible Use in FX Trading
Chapter 7: Technical Analysis and Its Implementation in Python
Chapter 8: Data Visualization in FX Trading with Python
Part 3: Orders, Trading Strategies, and Their Performance
Chapter 9: Trading Strategies and Their Core Elements
Chapter 10: Types of Orders and Their Simulation in Python
Chapter 11: Backtesting and Theoretical Performance
Part 4: Strategies, Performance Analysis, and Vistas
Chapter 12: Sample Strategy – Trend-Following
Chapter 13: To Trade or Not to Trade – Performance Analysis
Chapter 14: Where to Go Now?
Index
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