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  1. How to use MQL5 to detect candlesticks patterns

    by , 04-19-2023 at 01:33 AM
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    Candlesticks are a very helpful technical tool if we use them correctly, as we can find a potential movement based on their patterns. Candlesticks can form specific patterns on the chart and these patterns can be divided into two types single-candle patterns and blended candle patterns (more than one candle). In this article, we will learn how we can use MQL5 to detect some of these patterns automatically in the MetaTrader 5 trading terminal, we
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  2. Implementing the Janus factor in MQL5

    by , 04-18-2023 at 01:04 AM
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    According to Janus theory, markets are driven by the interplay between prices and how traders react to them. When markets are trending, market participants show confidence by letting their profits ride. In an uptrend higher prices confirm participants' expectations of the trend, which in turn induces more buy-in. This has the effect of pushing prices even higher.
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  3. Moral expectation in trading

    by , 04-17-2023 at 01:24 AM
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    Mathematical expectation in trading is one of the indicators used to evaluate a trading strategy efficiency. In 1738, Daniel Bernoulli published his work "Specimen theoriae novae de mensura sortis" (Exposition of a New Theory on the Measurement of Risk). In this work, he derived the moral expectation equation. The main difference between moral expectation and mathematical expectation is that moral expectation depends on the player's capital and implicitly
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  4. Canvas based indicators: Filling channels with transparency

    by , 04-16-2023 at 01:25 AM
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    Method for creating custom indicators whose drawings are made using the class CCanvas from standard library.
    The topics of this article are listed below:

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  5. How to use ONNX models in MQL5

    by , 04-15-2023 at 01:05 AM
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    Among all the considered models, CNN-LSTM models have generated the best results during the experiments. In this article, we will consider how to create such a model to forecast financial timeseries and how to use the created ONNX model in an MQL5 Expert Advisor.
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