Distance Coefficient Ehlers Filter
The Distance Coefficient Ehlers Filter, utilizing Amibroker data feed, is a filtering method developed by John Ehlers. This filter, potentially implemented through AFLs, aims to reduce noise and highlight significant market movements by emphasizing distance-based coefficients in price analysis.
/ _SECTION_BEGIN("Distance Coefficient Ehlers Filter"); //------------------------------------------------------------------------------ // // Taken from the article in TASC's April 2001 Issue. // //------------------------------------------------------------------------------ Price = (H+L)/2; CoefLookback = 5; Coef = (Price-Ref(Price, -1))^2+(Price-Ref(Price, -2))^2+(Price-Ref(Price, -3))^2+(Price-Ref(Price, -4))^2+(Price-Ref(Price, -5))^2; SumCoef=0; SumCoefPrice=0; for(i=0; i < CoefLookback; i++) { SumCoef = SumCoef + Ref(Coef, -i); SumCoefPrice = SumCoefPrice + (Ref(Coef, -i) * Ref(Price, -i)); } DCEF = SumCoefPrice / SumCoef; Plot(Close, "Close", colorBlack, styleLine); Plot(DCEF, "NonLinear Ehlers Filter", IIf(Close>DCEF, colorGreen, colorRed), styleLine); _SECTION_END();