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  1. Trading with the MQL5 Economic Calendar (Part 10): Draggable Dashboard and Interactive Hover Effects for Seamless News Navigation

    by , 06-01-2025 at 07:57 AM
    In this article, we advance the MQL5 Economic Calendar series by introducing a draggable dashboard and interactive hover effects to enhance trader control and navigation of news events, ensuring a flexible and intuitive user experience. Building on Part 9’s dynamic scrollbar and polished display, we now focus on a responsive User Interface (UI) that allows repositioning the calendar on the chart and provides visual feedback for button interactions, optimizing access to economic news in live
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  2. Building MQL5-Like Trade Classes in Python for MetaTrader 5

    by , 05-31-2025 at 07:43 AM
    Building algorithmic trading systems in the MQL5 programming language has been made easier with Standard Libraries that come preloaded in MetaEditor. These modules (libraries) come with functions and variables that simplify the process of opening, validating, closing the trades, etc.

    Without these dependencies, it becomes harder to write even a simple program, such as making a simple script for opening a buy position (trade).
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  3. Big Gains/Risk Strategy vs Valuable Strategy For Life

    by , 05-30-2025 at 04:37 PM


    From the panic selling last week, the markets went through a washout low (as expected) and are now climbing higher.

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  4. Neural Networks in Trading: Transformer with Relative Encoding

    by , 05-30-2025 at 07:33 AM
    Price forecasting and market trend prediction are central tasks for successful trading and risk management. High-quality price movement forecasts enable traders to make timely decisions and avoid financial losses. However, in highly volatile markets, traditional machine learning models may be limited in their capabilities.
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  5. Overcoming The Limitation of Machine Learning (Part 1): Lack of Interoperable Metrics

    by , 05-28-2025 at 07:18 AM
    In our related series of articles, like Self-Optimizing Expert Advisors, we discussed an unsettling truth: even when you follow all the “best practices” in algorithmic trading development, things can still go horribly wrong. Briefly, we observed that practitioners using the RSI according to its standardized rules, may wait several months without the indicator generating any of the expected results. Resulting in trading accounts that are exposed to more market risk than what was intended.
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