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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

Product type Paperback

Published in Sep 2024

Publisher Packt

ISBN-13 9781835881200

Length 282 pages

Edition 1st Edition

Concepts

Programming Language

Author (1):

Domenico D'Errico

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Table of Contents (13) Chapters

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

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

accuracy value 240

AI predictions

embedding, into EasyLanguage indicators 212

embedding, into EasyLanguage strategies 213

algorithmic trading 1, 2

definition 2, 3

developing 52, 53

in quantitative hedge funds 3

AND logical operator

using 41, 42

Apple Inc. (AAPL) 144

artificial intelligence (AI) 207, 225

Average Directional Index (ADX) 126, 127

average true range (ATR) 148

average true range percent (ATRpct) 148

B

backtesting 77, 78

re-running 96

versus buy-and-hold strategy 97, 98

base currency 173

breakout 107, 179

algorithms, writing 181-183

British currency (GBP) 183

buy-and-hold strategy 97

versus backtesting 97, 98

C

chart analysis 8-13

confusion matrix 239, 243-246

consumer price index (CPI) 174

continuous...

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Authors (1)

Domenico D'Errico

Domenico D'Errico

Domenico D'Errico is a Certified SIAT Technical Analyst (CSTA). After having held various managerial roles within multinational companies, he has been working as a quant developer for algorithmic hedge funds for the past 15 years, being involved in several trading ventures. He is an EasyLanguage specialist and a two-time winner of the 2011 TradeStation Developers contest. He published several articles in the Stocks & Commodities magazine. He has developed a strong interest in AI research applied to the financial world, finding numerous similarities between some AI techniques and traditional technical trading.

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