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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 trend pullback components

An algorithm to identify a trend pullback pattern essentially consists of three components:

  • An existing trend
  • A pullback
  • An impulse in the trend direction

Existing trend

In order to catch an existing trend, according to what we presented in Chapter 3, we know that we can use simple moving averages. But there are other algorithms, which are a bit more elaborate, to identify a trend, including the following:

  • Supertrend
  • ADX

Let’s delve into these next.

Supertrend

The Supertrend indicator is based on volatility. It consists of two main components: a moving average and a multiplier.

The Supertrend indicator uses a moving average of the asset’s price to determine the overall direction of the trend. This moving average can be calculated using different periods, such as 7 days, 14 days, or 50 days, depending on the trader’s time horizon.

The function of the multiplier is to adapt...

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