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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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Futures and Forex Algorithmic Trading

So far, we have seen how to build trading algorithms for stock markets. This was a deliberate choice since the stock market is the simplest to start with. Buying a stock means buying a small part of a company; if the company sells its products, its customers are happy, and it manages to increase its profits and raise the value of its shares. Conversely, the value of its shares is destined to fall, sometimes sharply. As you may have noticed, trading strategies in the stock market are generally long, as it is very difficult for short strategies to work, except in the short term.

In this chapter, we will apply many of the concepts we have learned so far to the futures and forex markets. By the end of this chapter, we will have a better understanding of the functioning of the futures and forex markets and how to deal with such topics through TradeStation. The objective of this chapter is for you to learn how to manage algorithms suitable for these...

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