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- Published:
- 2015.10.12 17:49
- Updated:
- 2016.11.22 07:32
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Real author:
klot
This indicator is an example of smoothing the Accumulation/Distribution indicator timeseries by filtering high-order harmonics.
You can use this approach for smoothing the output of any indicator. The major advantage of this method is that it has practically zero latency.
Indicator input parameters:
input ENUM_APPLIED_VOLUME VolumeType=VOLUME_TICK; // Volume input uint N = 7; // Series length input uint SS = 20; // Smoothing coefficient input int Shift=0; // Horizontal indicator shift in bars
where:
- N — sets the series length (power of two);
- SS — smoothing coefficient in the resulting spectrum zeroes out frequencies exceeding the set value. SS cannot be greater than 2^N. If SS = 2^N, the AD series is repeated.
This indicator requires the following library: https://www.mql5.com/ru/code/7000.
Fig.1. The i-SpectrAnalysis_AD indicator
Translated from Russian by MetaQuotes Ltd.
Original code: https://www.mql5.com/ru/code/13749
![i-SpectrAnalysis_OBV](https://c.mql5.com/i/code/indicator.png)
This indicator is an example of smoothing the On Balance Volume indicator timeseries by filtering high-order harmonics.
![i-SpectrAnalysis_MA_Cloud](https://c.mql5.com/i/code/indicator.png)
This indicator is an example of smoothing the Moving Average indicator timeseries by filtering high-order harmonics.
![i-SpectrAnalysis_Force](https://c.mql5.com/i/code/indicator.png)
This indicator is an example of smoothing the Force Index indicator timeseries by filtering high-order harmonics.
![i-SpectrAnalysis_DeMarker](https://c.mql5.com/i/code/indicator.png)
This indicator is an example of smoothing the DeMarker indicator timeseries by filtering high-order harmonics.