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This is a unique research, the idea for which came to me while answering questions that arose during the discussion of one of my articles. I am hopeful that readers will appreciate the value and originality of this work.

To carry out the experiment, we need to first initialize the coordinates of the agents forcibly outside the algorithm, using the coordinates of the global minimum, before measuring the fitness function at the first epoch.

Such an experiment will

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This project aims to familiarize you with the useful applications of chart objects in MQL5. This practical approach will teach you how to manage trades, improve visual analysis, and display important trading data right on your charts by efficiently integrating and modifying chart objects within your Expert Advisor (EA). To help you better understand how to use these tools for trading decisions and performance tracking, this project will walk you through the process of creating, modifying,

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In our previous article, we explored creating an expert advisor (EA) using the Trend Constraint V1.09 indicator, complemented by the manually executed Trend Constraint R-R script for placing risk and reward rectangles. While this setup provided insightful trading signals and enhanced visualization, it required manual intervention that could be streamlined. With the fast-paced nature of trading environments, the need for a more efficient solution becomes apparent. Many traders seek integrated

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CNNs are typically complex neural networks whose main applications are in video and image processing, like we saw with GANs in the previous article. However, unlike GANs that are trained in identifying real images and or subjects in the images from fakes, CNNs tend to work more like a classifier in that they split the input data (which is often image pixels) into various subgroups of data whereby each subgroup is meant to capture a key or very important property of the input data. These produced

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In the previous article, we have significantly revised the code architecture to build a multi-currency EA with several parallel working strategies. Trying to achieve simplicity and clarity, we have so far only considered a certain minimum set of functionality. Even considering the limitations of our task, we have significantly altered the code from the previous articles.

Now hopefully we have the groundwork that is sufficient enough to increase functionality without radical

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