Real author:
klot
This indicator is an example of smoothing the Moving Average 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.
The resulting indicator is implemented as a cloud between the smoothed average and smoothed Close price.
Indicator input parameters:
input uint MAPeriod=13; input ENUM_MA_METHOD MAType=MODE_EMA; input ENUM_APPLIED_PRICE MAPrice=PRICE_CLOSE; input uint N = 7; // Series length input uint SS = 20; // Smoothing coefficient input int Shift=0; // Horizontal indicator shift in bars
where:
This indicator requires the following library: https://www.mql5.com/ru/code/7000.

Fig.1. The i-SpectrAnalysis_MA indicator
MetaQuotes Ltd에서 러시아어로 번역함.
원본 코드: https://www.mql5.com/ru/code/13747
i-SpectrAnalysis_MA
This indicator is an example of smoothing the Moving Average indicator timeseries by filtering high-order harmonics.
i-SpectrAnalysis_TriX
This indicator is an example of smoothing the TriX indicator timeseries by filtering high-order harmonics.
i-SpectrAnalysis_OBV
This indicator is an example of smoothing the On Balance Volume indicator timeseries by filtering high-order harmonics.
i-SpectrAnalysis_AD
This indicator is an example of smoothing the Accumulation/Distribution indicator timeseries by filtering high-order harmonics.