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  1. Developing a trading Expert Advisor from scratch (Part 14): Adding Volume At Price (II)

    by , 07-14-2022 at 02:51 AM
    Our EA already has some resources which assist in trading — we have added them in our previous articles. However, this EA has some issues with visualization and resizing. They do not interfere with trading, but at some points this leads to a mess on the screen until you force it to refresh. In addition, there are still some things missing that would provide valuable information for us. These are specific things, but the information can be necessary.

    So, let's start implementing these
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  2. MQL5 Wizard techniques you should know (Part 02): Kohonen Maps

    by , 07-11-2022 at 10:03 PM
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    Continuing with this series on the MQL5 wizard, we will delve into Kohonen-Maps for this one.
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  3. Indicators with on-chart interactive controls

    by , 07-10-2022 at 02:49 AM
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    The idea behind the interface is to scroll the indicator period with the mouse wheel directly from the chart without going into the settings. We are going to use the button to activate the scrolling mode.
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  4. Should You Buy Walgreens Stock?

    by , 07-09-2022 at 02:34 AM
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    After a 27% fall year-to-date, at the current levels, we believe Walgreens stock (NYSE: WBA) can see higher levels. The weekly price is located below 200 SMA in the bearish area of the chart by trying to be bounced from 37.85 and 36.98 support levels to above for the bear market rally to be started with resistance levet at 44.27 as the possible target to re-enter.

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  5. Neural networks made easy (Part 14): Data clustering

    by , 07-08-2022 at 10:43 PM
    In this series of articles, we have already made a substantial progress in studying various neural network algorithms. But all previously considered algorithms were based on supervised model learning principles. It means that we input some historical data into the model and optimized weights so that the model returned values very close to reference results.
    There is another approach to Artificial Intelligence learning methods — unsupervised learning. This method enables model training only
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