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TradeStation EasyLanguage for Algorithmic Trading

TradeStation EasyLanguage for Algorithmic Trading

By : Domenico D'Errico
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TradeStation EasyLanguage for Algorithmic Trading

TradeStation EasyLanguage for Algorithmic Trading

3 (2)
By: Domenico D'Errico

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)
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Creating a volatility dashboard for multiple assets

Key financial assets such as gold, oil, major currencies, and stock markets are influenced by the same economic and geopolitical factors. As a result, significant price movements often occur simultaneously across different assets, sometimes moving in the same direction and sometimes in opposite directions. This is why a trading desk must have a dashboard that provides an overall view. The Volatility Predictor model can be used for this purpose.

If we apply the same AI model to other financial instruments, we can gain a useful global view of the market through TradeStation’s RadarScreen. Here’s how.

Python models can be programmed to print EasyLanguage code for specific assets, as shown in Figure 10.11:

Figure 10.11 – The Multiple_Volatility_Predictions function

Figure 10.11 – The Multiple_Volatility_Predictions function

In Figure 10.11, you can see an example of an EasyLanguage function for multiple assets. By using this function on...

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