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  1. Presenting the book "MQL5 Programming for Traders"

    by , 11-11-2024 at 06:54 AM
    We have released the most comprehensive guide to MQL5 programming, authored by experienced algorithmic trader Stanislav Korotky with MetaQuotes' support.
    The book is intended for programmers of all levels. Beginners will learn the fundamentals as the book introduces key development tools and basic programming concepts. With this material, you can create, compile, and run your first application in the MetaTrader 5 trading platform. Users with experience in other programming languages can immediately
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  2. Multiple Symbol Analysis With Python And MQL5 (Part II): Principal Components Analysis For Portfolio Optimization

    by , 11-10-2024 at 01:41 PM
    For members of our community looking to sell Expert Advisors, this article will demonstrate how you can create a seamless experience for your end users. Our trading application will flexible and robust at the same time. I will show you how to create trading applications that will allow your clients to easily switch between high, medium and low-risk trading modes. While the PCA algorithm will take care of the heavy lifting for your end users in the background.
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  3. Visualizing deals on a chart (Part 1): Selecting a period for analysis

    by , 11-10-2024 at 10:22 AM
    In this article, we will develop a script from scratch to visualize deals during retrospective analysis of trading decisions. Simply put, if we trade manually and analyze our past market entries in order to improve our trading performance, we want to spend as little time as possible on manual history analysis and the purely technical work associated with it: opening charts, searching for deals in history, manually saving print screens in the terminal, independently drawing Stop Loss and Take
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  4. Data Science and ML (Part 31): Using CatBoost AI Models for Trading

    by , 11-09-2024 at 03:41 PM
    CatBoost is an open-source software library with gradient-boosting algorithms on decision trees, it was designed specifically to address the challenges of handling categorical features and data in machine learning.

    It was developed by Yandex and was made open-source in the year of 2017, read more.
    Despite being introduced recently compared to machine learning techniques such as Linear regression or SVM's, CatBoost gained massive popularity among AI communities and rose to
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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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