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  1. More to follow about good free channels

    by , 10-30-2024 at 08:15 AM
    More to follow about good free channels (which we can subscribe to) for some information about trading and coding), and for now - the channels about the articles and about new free tools in CodeBase (it is recommended to subscribe):

    RU - https://www.mql5.com/ru/channels/algo-trading-ru
    EN - https://www.mql5.com/ru/channels/algo-trading-en
    ES - https://www.mql5.com/ru/channels/algo-trading-es
    FR - https://www.mql5.com/ru/channels/algo-trading-fr
    PT - https://www.mql5.com/pt/channels/algo-trading-pt ...
  2. Matrix Factorization: A more practical modeling

    by , 10-29-2024 at 09:24 AM
    In the previous article "Matrix Factorization: The Basics", I talked a little about how you, my dear readers, can use matrices in your general calculations. However, at that time I wanted you to understand how the calculations were done, so I didn't pay much attention to creating the correct model of the matrices.
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  3. Developing a multi-currency Expert Advisor (Part 12): Developing prop trading level risk manager

    by , 10-27-2024 at 02:04 PM
    Throughout the entire series, we addressed the topic of risk control several times. The concepts of a normalized trading strategy were introduced, the parameters of which ensure that a drawdown level of 10% is achieved during the test period. However, normalizing trading strategy instances, as well as groups of trading strategies, in this way can only provide a given drawdown over a historical period. We cannot be sure that the specified drawdown level will be observed when starting a test
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  4. MQL5 Wizard Techniques you should know (Part 16): Principal Component Analysis with Eigen Vectors

    by , 10-27-2024 at 05:52 AM
    Principal Component Analysis (PCA) is the focusing on only the ‘principal components’ among the many dimensions of a data set, such that one is reducing the dimensions of that data set by ignoring the ‘non-principal’ parts.

    PCA though, with eigen values & vectors, take on a slightly deeper approach. Typically, data sets that are handled under PCA are in a matrix format and the principal components, that are sought from a matrix would be a single vector column (or row) that is
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  5. Creating an MQL5 Expert Advisor Based on the Daily Range Breakout Strategy

    by , 10-26-2024 at 07:14 AM
    In this article, we will explore how to create an Expert Advisor (EA) in MetaQuotes Language 5 (MQL5) based on the Daily Range Breakout strategy. As traders continuously seek effective automated trading solutions, the Daily Range Breakout strategy offers a systematic approach that capitalizes on price movements beyond a defined range, making it an attractive option for Forex traders in MetaTrader 5.
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