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

    by , 01-05-2025 at 11:47 AM
    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. Creating an Interactive Graphical User Interface in MQL5 (Part 2): Adding Controls and Responsiveness

    by , 01-01-2025 at 11:47 AM
    In our previous article, we laid the foundation by assembling the graphical elements of our MetaQuotes Language 5 (MQL5) graphical user interface (GUI) panel. If you recall, the iteration was a static assembly of GUI elements - a mere snapshot frozen in time, lacking responsiveness. It was static and unyielding. Now, let’s unfreeze that snapshot and infuse it with life. In this eagerly anticipated continuation, we’re taking our panel to the next level.
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  3. MQL5 Wizard Techniques you should know (Part 28): GANs Revisited with a Primer on Learning Rates

    by , 12-27-2024 at 11:47 AM
    We revisit a form of neural network we had considered in an earlier article by dwelling on one specific hyperparameter. The learning-rate. The Generative Adversarial Network is a neural network that operates in pairs, where one network is trained traditionally to discern the truth, while another is trained to discern the former’s projections from real occurrences. This duality does imply that the traditionally trained network (the former) is trying to fool the latter and this is true, however
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  4. Neural networks made easy (Part 82): Ordinary Differential Equation models (NeuralODE)

    by , 12-20-2024 at 11:47 AM
    Let's get acquainted with a new model family: Ordinary Differential Equations. Instead of specifying a discrete sequence of hidden layers, they parameterize the derivative of the hidden state using a neural network. The results of the model are calculated using a "black box", that is, the Differential Equation Solver. These continuous-depth models use a constant amount of memory and adapt their estimation strategy to each input signal. Such models were first introduced in the paper "Neural Ordinary Differential Equations".
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  5. MQL5 Wizard Techniques you should know (Part 42): ADX Oscillator

    by , 11-09-2024 at 06:03 AM
    The ADX indicator is an oscillator that is meant to measure how strong a given trend in the market is for the security to which it is attached. This article thus, like some that were preceding it, examines the various patterns exhibited by this indicator in a custom signal class file, for wizard assembled Expert Advisors. We review one pattern at a time as we have in the previous articles covering RSI, Bollinger Bands, and the RSI and then conclude with a test that includes all patterns to
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