TradeStation EasyLanguage for Algorithmic Trading: Discover real-world institutional applications of Equities, Futures, and Forex markets - Softcover

D'Errico, Domenico

Softcover

ISBN 10: 1835881203 ISBN 13: 9781835881200

Publisher: Packt Publishing, 2024

Synopsis

Gain professional insights into algorithmic trading with the help of practical cases and comprehensive trading tools to analyze, monitor, and trade in the main financial markets

Key Features

• Learn how to use TradeStation EasyLanguage for algorithmic trading
• Explore real-life algorithmic trading tools on Equities, Futures, and Forex
• Enhance technical trading with a blended approach that includes machine learning
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

With AI revolutionizing financial markets, every trader will soon get easy access to AI models through free Python libraries and datasets, with all of them making the same trades! This behavior will modify prices and trading volumes, potentially altering future datasets, leading to major corporations investing heavily in technology, big data, and expert teams.

However, individual traders need not be intimidated because this dynamic has been seen before whenever new technologies have entered the trading market. Written by a quantitative algorithmic trading developer with over 15 years of experience in the finance industry, this book will ground you by taking a rational approach to algorithmic trading, where EasyLanguage, datasets, charts, and AI are tools for your journey toward mastering the markets. Your unique human intelligence remains invaluable in navigating and understanding market complexities as you explore the realm of institutional insights, satisfying your hunger to learn real-world algorithmic trading applications from the institutional perspective.

By the end of this book, you’ll be able to confidently apply TradeStation EasyLanguage to algorithmic trading, integrate machine learning to refine your strategies, and craft a personalized approach to confidently navigate the financial markets.

What you will learn

• Develop a scientific market mindset based on observations and statistics
• Set up the TradeStation EasyLanguage environment for algorithmic trading purposes
• Find out how to build Equity, Futures, and Forex market algorithmic tools
• Get to grips with programming risk management algorithms
• Discover how to program EasyLanguage for mechanical trading
• Enhance technical trading with the help of machine learning

Who this book is for

This book is for individual traders with over a year's experience in discretionary trading, with no programming skills, as well as for those who've grappled with market losses and the inundation of trading theories lacking statistical backing.

Table of Contents

1. Introduction to Algorithmic Trading and the TradeStation Platform
2. Getting Hands-On with EasyLanguage
3. Writing a Trend Strategy
4. Strategy Backtesting and Validation
5. Reversal Strategies
6. Trend Pullback Strategies
7. Risk Management
8. Futures and Forex Algorithmic Trading
9. The Trading Operational Plan
10. EasyLanguage in AI – Bridging Traditional Trading and Advanced Analytics
11. EasyLanguage for Machine Learning

About this title

About the Author

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.

Edition details

• Publisher: Packt Publishing
• Publication date: 2024
• Language: English
• ISBN 10: 1835881203
• ISBN 13: 9781835881200
• Binding: Paperback
• Number of pages: 282