Reflex and Trendflex Indicator from Ehlers

• 01/11/2020 at 3:07 PM #116429
  Loop

  Dear All,

  I just noticed two new indicators from Ehlers on the last issue of Stock & Commodities: Reflex and Trendlex Indicators.

  I would be greatfull if you code them from easylanguage to prt. I attach the 2 codes.

  Best regards

  ML

  Reflex

  { Reflex Indicator (C) 2019 John F. Ehlers } Inputs: Length(20); Vars: Slope(0), sum(0), count(0), a1(0), b1(0), c1(0), c2(0), c3(0), Filt(0), MS(0), Reflex(0); //Gently smooth the data in a SuperSmoother a1 = expvalue(-1.414*3.14159 / (.5*Length)); b1 = 2*a1*Cosine(1.414*180 / (.5*Length)); c2 = b1; c3 = -a1*a1; c1 = 1 - c2 - c3; Filt = c1*(Close + Close[1]) / 2 + c2*Filt[1] + c3*Filt[2]; //Length is assumed cycle period Slope = (Filt[Length] - Filt) / Length; //Sum the differences Sum = 0; For count = 1 to Length Begin Sum = Sum + (Filt + count*Slope) - Filt[count]; End; Sum = Sum / Length; //Normalize in terms of Standard Deviations MS = .04*Sum*Sum + .96*MS[1]; If MS <> 0 Then Reflex = Sum / SquareRoot(MS); Plot1(Reflex); Plot2(0);

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  {     Reflex Indicator     (C) 2019   John F. Ehlers } Inputs: Length(20); Vars: Slope(0), sum(0), count(0), a1(0), b1(0), c1(0), c2(0), c3(0), Filt(0), MS(0), Reflex(0); //Gently smooth the data in a SuperSmoother a1 = expvalue(-1.414*3.14159 / (.5*Length)); b1 = 2*a1*Cosine(1.414*180 / (.5*Length)); c2 = b1; c3 = -a1*a1; c1 = 1 - c2 - c3; Filt = c1*(Close + Close[1]) / 2 + c2*Filt[1] + c3*Filt[2]; //Length is assumed cycle period Slope = (Filt[Length] - Filt) / Length; //Sum the differences Sum = 0; For count = 1 to Length Begin Sum = Sum + (Filt + count*Slope) - Filt[count]; End; Sum = Sum / Length; //Normalize in terms of Standard Deviations MS = .04*Sum*Sum + .96*MS[1]; If MS <> 0 Then Reflex = Sum / SquareRoot(MS); Plot1(Reflex); Plot2(0);

  Trendflex

  { Trendflex Indicator (C) 2019 John F. Ehlers } Inputs: Length(20); Vars: sum(0), count(0), a1(0), b1(0), c1(0), c2(0), c3(0), Filt(0), MS(0), Trendflex(0); //Gently smooth the data in a SuperSmoother a1 = expvalue(-1.414*3.14159 / (.5*Length)); b1 = 2*a1*Cosine(1.414*180 / (.5*Length)); c2 = b1; c3 = -a1*a1; c1 = 1 - c2 - c3; Filt = c1*(Close + Close[1]) / 2 + c2*Filt[1] + c3*Filt[2]; //Sum the differences Sum = 0; For count = 1 to Length Begin Sum = Sum + Filt - Filt[count]; End; Sum = Sum / Length; //Normalize in terms of Standard Deviations MS = .04*Sum*Sum + .96*MS[1]; If MS <> 0 Then Trendflex = Sum / SquareRoot(MS); Plot1(Trendflex); Plot2(0);

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  {     Trendflex Indicator     (C) 2019   John F. Ehlers } Inputs: Length(20); Vars: sum(0), count(0), a1(0), b1(0), c1(0), c2(0), c3(0), Filt(0), MS(0), Trendflex(0); //Gently smooth the data in a SuperSmoother a1 = expvalue(-1.414*3.14159 / (.5*Length)); b1 = 2*a1*Cosine(1.414*180 / (.5*Length)); c2 = b1; c3 = -a1*a1; c1 = 1 - c2 - c3; Filt = c1*(Close + Close[1]) / 2 + c2*Filt[1] + c3*Filt[2]; //Sum the differences Sum = 0; For count = 1 to Length Begin Sum = Sum + Filt - Filt[count]; End; Sum = Sum / Length; //Normalize in terms of Standard Deviations MS = .04*Sum*Sum + .96*MS[1]; If MS <> 0 Then Trendflex = Sum / SquareRoot(MS); Plot1(Trendflex); Plot2(0);

  

  Loop

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  01/14/2020 at 10:27 AM #116743
  Nicolas

  Here is the Reflex indicator by John F Ehlers:

  //reflex indicator Length=20 if barindex>Length then //Gently smooth the data in a SuperSmoother a1 = exp(-1.414*3.14159 / (.5*Length)) b1 = 2*a1*Cos(1.414*180 / (.5*Length)) c2 = b1 c3 = -a1*a1 c1 = 1 - c2 - c3 Filt = c1*(Close + Close[1]) / 2 + c2*Filt[1] + c3*Filt[2] //Length is assumed cycle period Slope = (Filt[Length] - Filt) / Length //Sum the differences Sum = 0 For count = 1 to Length Sum = Sum + (Filt + count*Slope) - Filt[count] next Sum = Sum / Length //Normalize in terms of Standard Deviations MS = .04*Sum*Sum + .96*MS[1] If MS <> 0 Then Reflex = Sum / SQRT(MS) endif endif return Reflex

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  //reflex indicator Length=20   if barindex>Length then //Gently smooth the data in a SuperSmoother a1 = exp(-1.414*3.14159 / (.5*Length)) b1 = 2*a1*Cos(1.414*180 / (.5*Length)) c2 = b1 c3 = -a1*a1 c1 = 1 - c2 - c3 Filt = c1*(Close + Close[1]) / 2 + c2*Filt[1] + c3*Filt[2]   //Length is assumed cycle period Slope = (Filt[Length] - Filt) / Length   //Sum the differences Sum = 0 For count = 1 to Length Sum = Sum + (Filt + count*Slope) - Filt[count] next Sum = Sum / Length   //Normalize in terms of Standard Deviations MS = .04*Sum*Sum + .96*MS[1] If MS <> 0 Then Reflex = Sum / SQRT(MS) endif endif   return Reflex

   

  

  Nicolas

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  01/14/2020 at 10:47 AM #116749
  Nicolas

  Both indicators have been translated to Prorealtime from this easylanguage version, you can find them on our code library here: Reflex and Trendflex indicators from John F. Ehlers

  

  Nicolas

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  01/14/2020 at 11:15 AM #116752
  Loop

  Awesome jobs Nicolas!

  Thanks a lot!

  ML

  

  Loop

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