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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

Volatility Predictor on gold futures by the Gandalf Project

Volatility Predictor is an AI-based model designed to provide volatility predictions for the coming day. For the purpose of this chapter, we are going to use a Python-based model developed by the Gandalf Project (https://gandalfproject.com). This model exploits the powerful Extreme Gradient Boosting (XGBoost) Python library to predict the coming day’s volatility; as you will see, any Python model can be programmed to be bridged to EasyLanguage functions.

Volatility Predictor’s purpose is to provide a volatility prediction class for the next day ranging from 0 to 4, according to Table 10.1:

Volatility Predictor class

Description

0

Expected volatility between the 0th and 20th percentile

1

Expected volatility between the 20th...

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