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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

Backtesting long strategies

To backtest a long reversal strategy, we can go through a process that’s very similar to what we covered in Chapter 4.

We will go through the following procedure:

  1. Identify stock to start with.
  2. Run a multiple-sensitivity analysis on the selected stock.
  3. Create a return on assets (ROA) heatmap in Excel.
  4. Select the best input set.
  5. Backtest the strategy on the out-of-sample full Dow Jones 30 index.

Instead of focusing solely on the strategy’s performance under different market conditions or parameter values, this process will assess how the strategy behaves when applied to different assets. The purpose of this approach is to train the strategy on certain data and then test it on different out-of-sample data.

Identifying stock to start with

To establish a starting point, we’ll seek out stock with a moderate beta value. Beta measures the asset’s volatility compared to the broader market. Beginning...

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