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Super_Passband_Filter
//------------------------------------------------------------------
#property copyright "mladen"
#property link "www.forex-tsd.com"
//------------------------------------------------------------------
#property indicator_separate_window
#property indicator_buffers 8
#property indicator_plots 5
#property indicator_label1 "super passband level fill"
#property indicator_type1 DRAW_FILLING
#property indicator_color1 clrDodgerBlue,clrSandyBrown
#property indicator_label2 "super passband level up"
#property indicator_type2 DRAW_LINE
#property indicator_color2 clrDodgerBlue
#property indicator_style2 STYLE_DOT
#property indicator_label3 "super passband middle level"
#property indicator_type3 DRAW_LINE
#property indicator_color3 clrSilver
#property indicator_style3 STYLE_DOT
#property indicator_label4 "super passband level down"
#property indicator_type4 DRAW_LINE
#property indicator_color4 clrSandyBrown
#property indicator_style4 STYLE_DOT
#property indicator_label5 "supper passband"
#property indicator_type5 DRAW_COLOR_LINE
#property indicator_color5 clrSilver,clrDodgerBlue,clrSandyBrown
#property indicator_style5 STYLE_SOLID
#property indicator_width5 2
//
//
//
//
//
enum enPrices
{
pr_close, // Close
pr_open, // Open
pr_high, // High
pr_low, // Low
pr_median, // Median
pr_typical, // Typical
pr_weighted, // Weighted
pr_average, // Average (high+low+open+close)/4
pr_medianb, // Average median body (open+close)/2
pr_tbiased, // Trend biased price
pr_tbiased2, // Trend biased (extreme) price
pr_haclose, // Heiken ashi close
pr_haopen , // Heiken ashi open
pr_hahigh, // Heiken ashi high
pr_halow, // Heiken ashi low
pr_hamedian, // Heiken ashi median
pr_hatypical, // Heiken ashi typical
pr_haweighted, // Heiken ashi weighted
pr_haaverage, // Heiken ashi average
pr_hamedianb, // Heiken ashi median body
pr_hatbiased, // Heiken ashi trend biased price
pr_hatbiased2 // Heiken ashi trend biased (extreme) price
};
enum enColorOn
{
cc_onSlope, // Change color on slope change
cc_onMiddle, // Change color on middle line cross
cc_onLevels // Change color on outer levels cross
};
input double Period1 = 40; // Period 1
input double Period2 = 60; // Period 2
input int RmsCount = 50; // Calculation count
input enPrices Price = pr_close; // Price to use
input enColorOn ColorOn = cc_onLevels; // Color change :
double buffer[],levelup[],levelmi[],leveldn[],fill1[],fill2[],trend[],prices[];
//------------------------------------------------------------------
//
//------------------------------------------------------------------
//
//
//
//
//
int OnInit()
{
SetIndexBuffer(0,fill1 ,INDICATOR_DATA);
SetIndexBuffer(1,fill2 ,INDICATOR_DATA);
SetIndexBuffer(2,levelup,INDICATOR_DATA);
SetIndexBuffer(3,levelmi,INDICATOR_DATA);
SetIndexBuffer(4,leveldn,INDICATOR_DATA);
SetIndexBuffer(5,buffer ,INDICATOR_DATA);
SetIndexBuffer(6,trend ,INDICATOR_COLOR_INDEX);
SetIndexBuffer(7,prices ,INDICATOR_CALCULATIONS);
return(0);
}
//
//
//
//
//
int OnCalculate(const int rates_total,
const int prev_calculated,
const datetime& time[],
const double& open[],
const double& high[],
const double& low[],
const double& close[],
const long& tick_volume[],
const long& volume[],
const int& spread[])
{
double a1 = 5.0 / Period1 ;
double a2 = 5.0 / Period2 ;
for (int i=(int)MathMax(prev_calculated-1,0); i<rates_total; i++)
{
prices[i] = getPrice(Price,open,close,high,low,i,rates_total);
if (i<2) { buffer[i] = prices[i]; continue; }
buffer[i] = (a1-a2)*prices[i] + (a2*(1-a1)-a1*(1-a2))*prices[i-1] + ((1-a1)+(1-a2))*buffer[i-1]-(1-a1)*(1-a2)*buffer[i-2];
double rms = 0; for (int k=0; k<RmsCount && (i-k)>=0; k++) rms += buffer[i-k]*buffer[i-k];
rms = MathSqrt(rms/RmsCount);
levelup[i] = rms;
levelmi[i] = 0;
leveldn[i] = -rms;
trend[i] = 0;
switch(ColorOn)
{
case cc_onLevels:
if (buffer[i]>levelup[i]) trend[i] = 1;
if (buffer[i]<leveldn[i]) trend[i] = 2;
break;
case cc_onMiddle:
if (buffer[i]>levelmi[i]) trend[i] = 1;
if (buffer[i]<levelmi[i]) trend[i] = 2;
break;
default :
if (i>0)
{
if (buffer[i]>buffer[i-1]) trend[i] = 1;
if (buffer[i]<buffer[i-1]) trend[i] = 2;
}
}
//
//
//
//
//
fill1[i] = buffer[i];
fill2[i] = buffer[i];
if (buffer[i]>levelup[i]) fill2[i] = levelup[i];
if (buffer[i]<leveldn[i]) fill2[i] = leveldn[i];
}
return(rates_total);
}
//------------------------------------------------------------------
//
//------------------------------------------------------------------
//
//
//
//
//
//
double workHa[][4];
double getPrice(int tprice, const double& open[], const double& close[], const double& high[], const double& low[], int i, int _bars, int instanceNo=0)
{
if (tprice>=pr_haclose)
{
if (ArrayRange(workHa,0)!= _bars) ArrayResize(workHa,_bars); int r=i;
//
//
//
//
//
double haOpen;
if (r>0)
haOpen = (workHa[r-1][instanceNo+2] + workHa[r-1][instanceNo+3])/2.0;
else haOpen = (open[i]+close[i])/2;
double haClose = (open[i] + high[i] + low[i] + close[i]) / 4.0;
double haHigh = MathMax(high[i], MathMax(haOpen,haClose));
double haLow = MathMin(low[i] , MathMin(haOpen,haClose));
if(haOpen <haClose) { workHa[r][instanceNo+0] = haLow; workHa[r][instanceNo+1] = haHigh; }
else { workHa[r][instanceNo+0] = haHigh; workHa[r][instanceNo+1] = haLow; }
workHa[r][instanceNo+2] = haOpen;
workHa[r][instanceNo+3] = haClose;
//
//
//
//
//
switch (tprice)
{
case pr_haclose: return(haClose);
case pr_haopen: return(haOpen);
case pr_hahigh: return(haHigh);
case pr_halow: return(haLow);
case pr_hamedian: return((haHigh+haLow)/2.0);
case pr_hamedianb: return((haOpen+haClose)/2.0);
case pr_hatypical: return((haHigh+haLow+haClose)/3.0);
case pr_haweighted: return((haHigh+haLow+haClose+haClose)/4.0);
case pr_haaverage: return((haHigh+haLow+haClose+haOpen)/4.0);
case pr_hatbiased:
if (haClose>haOpen)
return((haHigh+haClose)/2.0);
else return((haLow+haClose)/2.0);
case pr_hatbiased2:
if (haClose>haOpen) return(haHigh);
if (haClose<haOpen) return(haLow);
return(haClose);
}
}
//
//
//
//
//
switch (tprice)
{
case pr_close: return(close[i]);
case pr_open: return(open[i]);
case pr_high: return(high[i]);
case pr_low: return(low[i]);
case pr_median: return((high[i]+low[i])/2.0);
case pr_medianb: return((open[i]+close[i])/2.0);
case pr_typical: return((high[i]+low[i]+close[i])/3.0);
case pr_weighted: return((high[i]+low[i]+close[i]+close[i])/4.0);
case pr_average: return((high[i]+low[i]+close[i]+open[i])/4.0);
case pr_tbiased:
if (close[i]>open[i])
return((high[i]+close[i])/2.0);
else return((low[i]+close[i])/2.0);
case pr_tbiased2:
if (close[i]>open[i]) return(high[i]);
if (close[i]<open[i]) return(low[i]);
return(close[i]);
}
return(0);
}
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