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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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Fundamental analysis and trend-following strategies are often seen as opposing approaches. Many traders who favor fundamental analysis believe that technical analysis is a waste of time because all necessary information is already reflected in the price. Conversely, technical analysts often view fundamental analysis as flawed because identical patterns, like a head and shoulders, can lead to different outcomes in the same market.

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In the dynamic world of financial trading using of technical indicators can be of big impact. Bollinger Bands are one such effective technique that traders can use to determine possible entry and exit points based on price volatility and trend strength. This article explores automating trading choices with a Bollinger Bands trading technique utilizing the MQL5 programming language in MetaTrader 5.

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