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  1. Introduction to MQL5 (Part 11): A Beginner's Guide to Working with Built-in Indicators in MQL5 (II)

    by , Today at 06:52 AM
    Welcome back to our MQL5 series! We'll discuss a fascinating subject in this chapter that I believe you'll find very useful and fascinating. We looked at how to use MQL5's built-in indicators in the last chapter, paying particular attention to the RSI. Not only that, but we even worked on a practical project that showed you how to incorporate the RSI into your trading approach with ease. We're going one step further this time by including not one but three potent indications in our project (RSI,
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  2. News Trading Made Easy (Part 6): Performing Trades (III)

    by , 01-13-2025 at 04:34 AM
    In this article we will make improvements to the storage database, new views will be added to present data such as displaying dates for the last news event or the next news event for each unique event in the MQL5 Economic calendar this will improve the user's experience when using the program as it will bring awareness to future or past events. In addition, the expert input menu will be expanded upon to accommodate news filtration and the stop order entry methods.
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  3. Developing a multi-currency Expert Advisor (Part 6): Automating the selection of an instance group

    by , 01-12-2025 at 10:19 AM
    In the previous article, we have implemented the ability to choose the strategy option - with a constant position size and with a variable position size. This allowed us to introduce normalization of the results of the strategies' work according to the maximum drawdown and provided the possibility of combining them into groups, for which the maximum drawdown was also within the specified limits. For the sake of demonstration, we manually selected several of the most attractive combinations
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  4. Neural Networks Made Easy (Part 93): Adaptive Forecasting in Frequency and Time Domains (Final Part)

    by , 01-11-2025 at 08:36 AM
    In the previous article, we got acquainted with the ATFNet algorithm, which is an ensemble of 2 time series forecasting models. One of them works in the time domain and constructs predictive values of the studied time series based on the analysis of signal amplitudes. The second model works with the frequency characteristics of the analyzed time series and records its global dependencies, their periodicity and spectrum. Adaptive merging of two independent forecasts, according to the author
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  5. MQL5 Wizard Techniques you should know (Part 46): Ichimoku

    by , 01-10-2025 at 01:30 PM
    The Ichimoku Kinko Hyo, that is often referred to as the Ichimoku Cloud, is a wide-embracing technical analysis system designed to provide a holistic view of market trends; support and resistance levels; as well as momentum. Developed in the late 1930s and refined over the subsequent three decades, Ichimoku Kinko Hyo translates from Japanese to "one-look equilibrium chart" or "at-a-glance balance chart,"; names which emphasize its design to offer a single, detailed perspective on the market
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