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TradeStation EasyLanguage for Algorithmic Trading

You're reading from   TradeStation EasyLanguage for Algorithmic Trading Discover real-world institutional applications of Equities, Futures, and Forex markets

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Product type Paperback
Published in Sep 2024
Publisher Packt
ISBN-13 9781835881200
Length 282 pages
Edition 1st Edition
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Author (1):
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Domenico D'Errico Domenico D'Errico
Author Profile Icon Domenico D'Errico
Domenico D'Errico
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Table of Contents (13) Chapters Close

Preface 1. Chapter 1: Introduction to Algorithmic Trading and the TradeStation Platform FREE CHAPTER 2. Chapter 2: Getting Hands-On with EasyLanguage 3. Chapter 3: Writing a Trend Strategy 4. Chapter 4: Strategy Backtesting and Validation 5. Chapter 5: Reversal Strategies 6. Chapter 6: Trend Pullback Strategies 7. Chapter 7: Risk Management 8. Chapter 8: Futures and Forex Algorithmic Trading 9. Chapter 9: The Trading Operational Plan 10. Chapter 10: EasyLanguage in AI – Bridging Traditional Trading and Advanced Analytics 11. Chapter 11: EasyLanguage for Machine Learning 12. Index

Summary

In this chapter, we delved into a very important market pattern: trend pullback. Initially, we learned the rationale behind such market behavior and split it into three components: a trend, a pullback, and an impulse. After that, we wrote several algorithms to identify the different components and assemble them in various ways, akin to playing with bricks. Then, we conducted a multiple-sensitivity analysis to check strategy robustness.

As you may have noticed thus far, we focused solely on entry logic, leaving exits to only some holding periods. As you will better understand in the next chapter, dedicated to risk management, the choice of building algorithms that separate entries from exits is not arbitrary but, rather, has a valid reason behind it.

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