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  1. Totally free by source codes

    by , 10-13-2024 at 05:41 PM
    Free good channels (which we can subscribe to) with 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 because the tools are totally free by source codes):

    RU - https://www.mql5.com/ru/channels/algo-trading-ru
    EN - https://www.mql5.com/en/channels/algo-trading-en
    ES - https://www.mql5.com/es/channels/algo-trading-es
    FR - https://www.mql5.com/fr/channels/algo-trading-fr ...
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  2. Building and testing Keltner Channel trading systems

    by , 10-13-2024 at 01:23 PM
    The concept of volatility in the financial market is very important to understand and to make it work in your favor when you are trading in the market. The main purpose of this article is to help you save time by providing you with many test results for trading systems based on the concept of volatility using the Keltner Channel technical indicator to find out how it can work as part of your complete system to measure volatility or take action under certain conditions concerning this important concept.
    ...
  3. Something interesting: more to follow about good free channels

    by , 10-13-2024 at 09:15 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 ...
  4. Developing a robot in Python and MQL5 (Part 1): Data preprocessing

    by , 10-13-2024 at 09:00 AM
    We will look at the development cycle of a trading robot: data collection, processing, sample expansion, feature engineering, model selection and training, creating a trading system via Python, and monitoring trades.

    Working in Python has its own advantages: speed in the field of machine learning, as well as the ability to select and generate features. Exporting models to ONNX requires exactly the same feature generation logic as in Python, which is not easy. That is why I have selected
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  5. MQL5 Wizard Techniques you should know (Part 37): Gaussian Process Regression with Linear and Matern Kernels

    by , 10-12-2024 at 09:01 AM
    We continue these series on the different ways key component classes of wizard assembled Expert Advisors can be implemented by considering 2 Gaussian Process Kernels. The linear-kernel and Matérn Kernel. The former is so simple you cannot find its Wikipedia-page, however the latter has a reference page over here.

    There are several additional advantages and uses to GPs like noise handling & reduction as well as adaptation to regime change and many others. As traders, though,
    ...
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