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  1. Building A Candlestick Trend Constraint Model (Part 5): Notification System (Part III)

    by , 07-07-2024 at 07:25 PM
    We have now expanded signal accessibility on our model, making it beneficial for all users. Additionally, we have motivated numerous upcoming developers on how to seamlessly integrate social networks for signals on our well-known MetaTrader 5 trading platform. Let's conclude by delving into WhatsApp integration details. Our goal is to automatically send signals generated by our custom MetaTrader 5 indicators to a WhatsApp number or group. Meta has introduced a new channel feature on WhatsApp,
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  2. Population optimization algorithms: Evolution of Social Groups (ESG)

    by , 07-05-2024 at 12:56 PM
    In this article, we will consider the multi-population ESG algorithm that I created specifically for this article. We will look at the basic principles of such algorithms. In addition, we will consider the results of comparative studies that will allow us to evaluate the effectiveness of these algorithms in comparison with mono-population optimization methods.
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  3. Discrete Hartley transform

    by , 06-18-2024 at 02:15 PM
    In 1942, Ralph Hartley proposed an analogue of the Fourier transform in his article "A More Symmetrical Fourier Analysis Applied to Transmission Problems".
    Just like Fourier transform (FT), Hartley transform (HT) turns the original signal into a sum of trigonometric functions. But there is one significant difference between them. FT converts real values to complex numbers, while HT provides only real results. Because of this difference, the Hartley transform did not become popular - scientists
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  4. Developing a multi-currency Expert Advisor (Part 3): Architecture revision

    by , 06-18-2024 at 10:43 AM
    In the previous articles, we started developing a multi-currency EA that works simultaneously with various trading strategies. The solution provided in the second article is already significantly different from the one presented in the first one. This indicates that we are still in search of the best options.

    Let's try to look at the developed system as a whole, abstracting from the small details of the implementation, in order to understand ways to improve it. To do this, let
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  5. Causal inference in time series classification problems

    by , 06-14-2024 at 07:20 PM
    In the previous article, we have thoroughly examined training via meta learner and cross-validation, as well as saving models in the ONNX format. I have also noted that machine learning models are not capable of finding patterns out of the box in disparate and contradictory data. In this case, it is very important what exactly is sent to the input and output of a neural network or any other machine learning algorithm.

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    This article describes an attempt to understand
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