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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

Writing a Trend Strategy

Now that we have gained confidence with basic indicators and strategy scripts, let’s move on to some real approaches that are used in a professional environment. In this chapter, we are going to learn what the market rationale behind a trend strategy is, how to deal with a trend algorithmically, and how to write trend strategies in EasyLanguage.

The end goal of this chapter is for you to understand the process of developing trading ideas and transforming them into algorithmic trading tools. In this chapter, we are going to deal mainly with equities, but the same concepts will apply to other markets, such as commodities and Foreign Exchange (Forex).

We are going to delve into the following topics:

  • Developing trading ideas
  • Market rationale behind a trend strategy
  • Identifying a trend algorithmically
  • Handling noise
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