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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

A fully automated trading plan for futures

As you will remember, in Chapter 1, we discussed the different levels of automation in algorithmic trading. In this section, we are going to provide instructions to start a real fully automated trading plan on a four-futures portfolio. For educational purposes, in this chapter, we will apply a time breakout strategy to the following futures:

  • E-mini S&P 500: This represents the US standard S&P 500 index
  • Gold: The precious metal that is often traded as a commodity and used as a safe-haven investment during times of economic uncertainty
  • T-note: The marketable US government debt security, with a fixed interest rate and a maturity between 1 and 10 years
  • Yen: The official currency of Japan against the US dollar

A trading strategy incorporating E-mini S&P 500, gold, T-notes, and yen offers significant advantages due to the typically low correlations among these assets; during risk-on periods, investors prefer...

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