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Getting Started with Forex Trading Using Python

You're reading from  Getting Started with Forex Trading Using Python

Product type Book
Published in Mar 2023
Publisher Packt
ISBN-13 9781804616857
Pages 384 pages
Edition 1st Edition
Languages
Author (1):
Alex Krishtop Alex Krishtop
Profile icon Alex Krishtop

Table of Contents (21) Chapters

Preface 1. Part 1: Introduction to FX Trading Strategy Development
2. Chapter 1: Developing Trading Strategies – Why They Are Different 3. Chapter 2: Using Python for Trading Strategies 4. Chapter 3: FX Market Overview from a Developer's Standpoint 5. Part 2: General Architecture of a Trading Application and A Detailed Study of Its Components
6. Chapter 4: Trading Application: What’s Inside? 7. Chapter 5: Retrieving and Handling Market Data with Python 8. Chapter 6: Basics of Fundamental Analysis and Its Possible Use in FX Trading 9. Chapter 7: Technical Analysis and Its Implementation in Python 10. Chapter 8: Data Visualization in FX Trading with Python 11. Part 3: Orders, Trading Strategies, and Their Performance
12. Chapter 9: Trading Strategies and Their Core Elements 13. Chapter 10: Types of Orders and Their Simulation in Python 14. Chapter 11: Backtesting and Theoretical Performance 15. Part 4: Strategies, Performance Analysis, and Vistas
16. Chapter 12: Sample Strategy – Trend-Following 17. Chapter 13: To Trade or Not to Trade – Performance Analysis 18. Chapter 14: Where to Go Now? 19. Index 20. Other Books You May Enjoy

The advantages of using Python in trading strategy development

Today when we say Python, we most likely mean not only the most flexible object-oriented programming language but also the most powerful and convenient interactive IDEs, such as Spyder or PyCharm, along with the vast collection of libraries that extend this language to fit virtually any domain of applied and fundamental research, from medicine to astronomy. There is no surprise that the Python ecosystem has become the de facto standard in the financial industry where numbers play a decisive role.

The advantages of using Python for the development of trading strategies are obvious and we will look into a few of these advantages in detail in the following sections.

Memory management

Python is one of the few interpreters that has robust built-in memory management services such as garbage collection and reference counting. Essentially, this means that you don’t have to care about any complex object you work...

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