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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

Handling market noise

Market noise refers to the random fluctuations and irrelevant information that can obscure the underlying trends or signals in financial markets. It can include various factors, such as rumors, news headlines, speculative trading, and other short-term market movements that are not based on fundamental factors or long-term trends.

There are two different ways to address the noise issue:

  • Entry confirmations
  • Volatility bands

Entry confirmations

We can ask the system to wait for a confirmation before opening a new trade. A confirmation could be a close above the moving average for two consecutive days, so we can write the following:

EntryCondition=Close>average(close,Len) and Close[1]>average(Close,Len)[1];

In this example, our entry condition will be both the current close above the current moving average value and the previous close above the previous moving average.

In Figure 3.14, we can see the performance report with entry...

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