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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 went through one of the most important aspects of algorithmic trading: risk management. We learned that managing risk involves two main components: managing exits and sizing positions, which is especially important for stock portfolio traders. Then, we delved into how to build exit trading algorithms according to different market logic and how to manage position sizes in both the presence and absence of technical exits. Keeping risk under control greatly increases traders’ confidence, and managing automated exits gives them the freedom to focus on the next entry.

Although these techniques allow for adaptive risk management on each trade based on both historical volatility and the varying volatility of assets, there remains a partial problem with gap risk. In the next chapter, we will explore 24-hour trading assets such as Futures and Forex, where the gap risk will be mitigated.

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