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TradeStation EasyLanguage for Algorithmic Trading

TradeStation EasyLanguage for Algorithmic Trading

By : Domenico D'Errico
3 (2)
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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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Assembling components

So far, we have seen that a trend pullback strategy consists of three components: a trend, a pullback, and a final movement in the direction of the trend. We have also seen that each of the three components can be written with different algorithms. It’s a bit like having building blocks to assemble together, bearing in mind that any component has its specific purpose.

In Table 6.1, you can see nine different combinations regarding the first two main components – trend and pullback:

Algorithms to detect trends

Algorithms to detect pullbacks

Simple Moving Average (SMA)

Relative Strength Index (RSI)

Stochastic Oscillator

Simple Moving Average (SMA)

SMA trend + pullback below an SMA

SMA + RSI oversold...

Visually different images
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83
Tech Concepts
36
Programming languages
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TradeStation EasyLanguage for Algorithmic Trading
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