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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

Summary

Well, it’s been a long and – I hope – interesting trip, so it’s time now to summarize what we learned.

Technical analysis assumes that price includes everything in itself and attempts to find repeating patterns of behavior, suggesting that the price action following a similar pattern will also be similar to what already happened in the past.

There are just four major classes of technical studies, despite their visual diversity at first glance: market speed or momentum, digital filters, range, and volatility. Each type of study can be used to detect a certain situation in the market, but none of them can produce a ready profitable trading strategy on its own.

The cornerstone of all technical studies is the sliding window, and the bane of technical trading is peeking ahead during development and testing. Using queues to emulate incoming data streams and to organize sliding windows solves the problem of peeking ahead once and for all.

Besides...

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