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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

Trading logic – this is where a small mistake may cost a fortune

Trading logic is obviously the core of the entire trading app. It is the very component that analyzes the market data in search of any pre-defined price-time patterns (sometimes other data such as volume and open interest is included, but this data is typically not available for the spot market) and generates orders. Almost all of the rest of the book will be dedicated to trading logic and various approaches to developing trading algorithms but we can’t really move on without considering one very typical mistake that already costs many traders millions, if not billions, of dollars. I mean the peek ahead issue.

The phenomenon of peeking ahead is specific to only the development phase of the project when the trading algorithm is optimized or trained using past market data, which is called historical data. As you remember from the previous section, historical data is something pre-recorded either by yourself...

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