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  1. The Decycler Oscillator

    by , 05-10-2021 at 05:51 PM
    The Decycler Oscillator - indicator for MetaTrader 5

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Views: 104
Size:  16.7 KB

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Views: 73
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    When the indicator line is above zero, then the trend is upward. When below zero, it is downward.
  2. iMACD Crossovers EA for MT5

    by , 05-04-2021 at 05:26 PM
    iMACD Crossovers - expert for MetaTrader 5

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Views: 71
Size:  44.0 KB

    For the iMACD (Moving Average Convergence / Divergence, MACD) indicator, select three types of 'Crossing' signals:
    • # 1: Crossing Signal line only - ONLY one signal is taken into account: crossing with the signal line
    • # 2: Crossing Zero line only - ONLY one signal is taken into account: crossing with a zero line
    • # 1 and # 2 - the advisor can use both signals: # 1 and # 2
    ...
  3. Developing a self-adapting algorithm (Part I): Finding a basic pattern

    by , 02-08-2021 at 03:34 PM
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Views: 244
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    Any trading algorithm is generally a tool which may bring profit to an experienced trader or instantly destroy a deposit of an inexperienced one. The issue of creating a profitable and reliable algorithm is that we cannot understand what needs to be done in order to earn money and what methods are used by "successful traders". While HFT, arbitrage, option strategies and calendar spread-based systems boast a solid theoretical basis clearly stating what
    ...
  4. MACD Threshold Value Alert

    by , 01-20-2021 at 08:41 AM
    MACD Threshold Value Alert - indicator for MetaTrader 5

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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.
  5. Practical application of neural networks in trading. Python (Part I)

    by , 01-06-2021 at 08:17 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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