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  1. Ocean Theory Tools by J.Sloman

    by , 01-07-2021 at 06:52 AM
    Ocean Theory Tools by J.Sloman


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    UniNMA_v1 600+ indicator, UniNMA lookback_v1 600+ indicator, UniOceanNDX_v1 600+ indicator, UniOceanNST_v1 600+ indicator and UniOceanNXC_v1 600+ indicator were created for Premium Trading Forum. This is the the advanced indicators related to the Ocean Theory by J.Sloman. First of them is UniNMA or Natural Moving Average with using the UniEMA instead of the EMA. Also I want to remind the NMA is an adaptive moving ...
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  2. PointAndFigure indicator with the news sets of prices and MAs

    by , 01-07-2021 at 01:50 AM
    PointAndFigureTrend indicator updated

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    PointAndFigureTrend_v1.3 600+ indicator was created for Premium Trading Forum. This is the updated PointAndFigure indicator with the news sets of prices and MAs.

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  3. Advanced Swami Charts

    by , 01-06-2021 at 08:01 PM
    Advanced Swami Charts


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    SwamiStepChart_v1 indicator was program for Premium Trading Forum. SwamiStepChart help to solve the the main problem of all Step Chart indicators - finding a suitable Step Size.



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  4. ValueBands indicator to be used together with the ValueCharts indicator

    by , 01-06-2021 at 07:32 AM
    ValueBands indicator updated

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    ValueBands_v2.1 600+ indicator was created for Premium Trading Forum. This is the the updated MTF ValueBands indicator for MT4 which can be used together with the ValueCharts indicator which is the well-known market analysis tools developed by Mark Helweg and David Stendahl.

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

    by , 01-06-2021 at 07:17 AM
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    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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