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TradeStation EasyLanguage for Algorithmic Trading
book

TradeStation EasyLanguage for Algorithmic Trading

by Domenico D'Errico
September 2024
Intermediate to advanced
282 pages
6h 33m
English
Packt Publishing

Overview

If you're looking to master the use of TradeStation EasyLanguage for algorithmic trading, this book is your guide. You will learn how to build tools and strategies for trading across equities, futures, and forex markets. Explore the integration of machine learning with traditional trading techniques, seamlessly blending technical acumen with AI-enhanced strategies.

What this Book will help me do

  • Develop a solid understanding of algorithmic trading by employing TradeStation's EasyLanguage.
  • Set up and customize trading algorithms tailored for equities, futures, and forex markets.
  • Implement risk management practices programmatically to safeguard your investments.
  • Explore the application of machine learning within trading to enhance decision-making.
  • Craft strategies backed by statistical insights to navigate the complexities of financial markets effectively.

Author(s)

Domenico D'Errico is a quantitative algorithmic trading architect with over 15 years of hands-on experience in financial markets. His practical background combines technology, big data analytics, and market strategies which he leverages to create comprehensive learning resources. His teaching style is focused on clarity and practical application, making complex ideas accessible and directly applicable.

Who is it for?

This book is perfect for individual traders who already have a basic knowledge of trading and are interested in developing algorithmic strategies. Whether you are an experienced trader looking to diversify with algorithmic approaches, or a novice intrigued by algorithmic trading without prior programming experience, this book provides valuable insights. Readers aiming to integrate machine learning with trading or to explore institutional-grade strategies will find this book indispensable.

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Publisher Resources

ISBN: 9781835881200