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Getting Started with Forex Trading Using Python

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

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Product type Paperback
Published in Mar 2023
Publisher Packt
ISBN-13 9781804616857
Length 384 pages
Edition 1st Edition
Languages
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Author (1):
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Alex Krishtop Alex Krishtop
Author Profile Icon Alex Krishtop
Alex Krishtop
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Table of Contents (21) Chapters Close

Preface 1. Part 1: Introduction to FX Trading Strategy Development
2. Chapter 1: Developing Trading Strategies – Why They Are Different FREE CHAPTER 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

Navigating through data

The problem with data collection starts at the very beginning: every data provider offers its own data, quite often in its own format. Some data providers offer only compressed data or snapshots (see later in this chapter) while others broadcast tick-by-tick data; very few data providers also offer order book (depth of market or DOM; see Chapter 3, FX Market Overview from a Developer’s Standpoint) data.

So, first and above all, you should decide on the data granularity: whether your trading algorithm requires tick-by-tick or compressed data, and if you need DOM data or not. At this stage, you may feel lost with these questions, but don’t worry—you will get a very clear understanding of your data needs when you’ve accomplished further chapters of this book.

Let’s consider all three cases and see how we can actually handle ticks, snapshots, and DOM market data.

Tick data and snapshots

I would like to reiterate that...

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