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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

Position sizing

In the previous section, we tested three different exit techniques to control trading risk. While each of the three techniques can work well on single assets, they cannot function as they did when trading a portfolio. A dollar stop is not suitable because different stocks have vastly different prices; a percent-based stop is not suitable because different stocks have different volatility levels, and a volatility-based stop increases the risk toward the most volatile stocks in terms of absolute dollar risk.

Let’s try a different approach to break out of this negative loop: equal dollar risk sizing.

Equal dollar risk sizing is a risk management strategy where you allocate the same amount of money, or dollar amount, to each trade or investment. This means that regardless of the price of the asset, or its volatility, you are risking the same fixed dollar amount on each trade.

In my experience, I’ve found that exit management techniques may require...

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