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  1. MACD Threshold Value Alert

    by , 01-20-2021 at 07:41 AM
    MACD Threshold Value Alert - indicator for MetaTrader 5

    Name:  MACDThreshold_alueAlert.png
Views: 294
Size:  22.2 KB

    Development of the MACD Threshold Value version. When a signal line is found above or below one of the ' Threshold ' lines, an alert is triggered.
    IMACD (Moving Average Convergence / Divergence, MACD) indicator with two levels (two threshold values). The levels are displayed as lines, but are drawn by indicator buffers.
  2. Practical application of neural networks in trading. Python (Part I)

    by , 01-06-2021 at 07:17 AM
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Views: 188
Size:  55.2 KB

    In the previous article entitled "Practical application of neural networks in trading. It's time to practice", we considered the practical application of a neural network module implemented using Matlab neural networks. However, that article did not cover questions related to the preparation of input data and network training related operations. In this article, we will consider these questions using examples and will implement further code using
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  3. What is a trend and is the market structure based on trend or flat?

    by , 11-27-2020 at 06:15 AM
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Views: 518
Size:  18.3 KB


    The concepts of trend and flat can be clearly and fully defined. Besides, it is possible to compare the trendiness degree of different instruments as well as of a single instrument on different scales. Such an analysis allows us to evaluate characteristics and features of instruments and construct trading algorithms considering individual behavior of each instrument.

    Knowing statistical characteristics of an instrument and their change
    ...
  4. Camarilla Points

    by , 11-22-2020 at 06:08 AM
    Camarilla Points - indicator for MetaTrader 5

    Name:  eurusd-m30-fx-choice-limited.png
Views: 482
Size:  41.1 KB

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Views: 412
Size:  46.5 KB

    Camarilla Points indicator is based on Stocks & Commodities V. 31:3 (pg. 10-15).
  5. Gradient Boosting (CatBoost) in the development of trading systems. A naive approach

    by , 11-17-2020 at 06:34 PM
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Views: 209
Size:  13.2 KB

    Gradient boosting is a powerful machine learning algorithm. The method produces an ensemble of weak models (for example, decision trees), in which (in contrast to bagging) models are built sequentially, rather than independently (in parallel). This means that the next tree learns from the mistakes of the previous one, then this process is repeated, increasing the number of weak models. This builds a strong model which can generalize using heterogeneous
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