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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

Embedding AI predictions into EasyLanguage strategies

Let’s now move on to how to embed the Volatility_Predictions function into an EasyLanguage strategy. In this section, we are going to learn how to use the Volatility Predictor model for the following:

  • Filtering trades
  • Money management
  • Position management

Using the Volatility Predictor model as a filter

To use the Volatility Predictor to filter trades, let’s start with the basic Intraday Breakout Strategy we learned in Chapter 8:

input:SR_Time(800),SR_BarsBack(12),WaitBars(1);
var:Resistance(0),Support(0),SR_count(0);
if time=SR_Time then Begin
    Resistance=highest(H,SR_BarsBack);
    Support=lowest(L,SR_BarsBack);
    SR_count=0;
End;
SR_count=SR_count+1;
if time>=SR_Time and SR_count<Waitbars then begin
    buy       next bar Resistance stop;
    ...
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