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TradeStation EasyLanguage for Algorithmic Trading
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TradeStation EasyLanguage for Algorithmic Trading
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Overview of this book
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.
Table of Contents (13 chapters)
Preface
Chapter 1: Introduction to Algorithmic Trading and the TradeStation Platform
Chapter 2: Getting Hands-On with EasyLanguage
Chapter 3: Writing a Trend Strategy
Chapter 4: Strategy Backtesting and Validation
Chapter 5: Reversal Strategies
Chapter 6: Trend Pullback Strategies
Chapter 7: Risk Management
Chapter 8: Futures and Forex Algorithmic Trading
Chapter 9: The Trading Operational Plan
Chapter 10: EasyLanguage in AI – Bridging Traditional Trading and Advanced Analytics
Chapter 11: EasyLanguage for Machine Learning
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