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normalized_macd_v1
//------------------------------------------------------------------
#property copyright "mladen"
#property link "www.forex-tsd.com"
//------------------------------------------------------------------
#property indicator_separate_window
#property indicator_buffers 2
#property indicator_plots 1
#property indicator_label1 "MACD"
#property indicator_type1 DRAW_COLOR_LINE
#property indicator_color1 clrLimeGreen,clrOrange
#property indicator_style1 STYLE_SOLID
#property indicator_width1 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+oprn+close)/4
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
};
//
//
//
//
//
input int FastEma = 24; // Fast ema
input int SlowEma = 52; // Slow ema
input enPrices Price = pr_median; // Price to use
input int NormPeriod = 14; // Normalization period
input color ColorFrom = clrOrange; // Color down
input color ColorTo = clrLime; // Color Up
input int ColorSteps = 50; // Color steps for drawing
//
//
//
//
//
double macd[];
double colorBuffer[];
//------------------------------------------------------------------
//
//------------------------------------------------------------------
//
//
//
//
//
int cSteps;
int OnInit()
{
SetIndexBuffer(0,macd,INDICATOR_DATA);
SetIndexBuffer(1,colorBuffer,INDICATOR_COLOR_INDEX);
cSteps = (ColorSteps>1) ? ColorSteps : 2;
PlotIndexSetInteger(0,PLOT_COLOR_INDEXES,cSteps+1);
for (int i=0;i<cSteps+1;i++)
PlotIndexSetInteger(0,PLOT_LINE_COLOR,i,gradientColor(i,cSteps+1,ColorFrom,ColorTo));
//
//
//
//
//
IndicatorSetString(INDICATOR_SHORTNAME," normalized MACD ("+string(FastEma)+","+string(SlowEma)+")");
return(0);
}
//------------------------------------------------------------------
//
//------------------------------------------------------------------
//
//
//
//
//
int totalBars;
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[])
{
totalBars = rates_total;
//
//
//
//
//
for (int i=(int)MathMax(prev_calculated-1,1); i<rates_total; i++)
{
double price = getPrice(Price,open,close,high,low,i,rates_total);
macd[i] = iRsi(iEma(price,FastEma,i,0)-iEma(price,SlowEma,i,1),NormPeriod,rates_total,i);
if (i>0)
{
colorBuffer[i] = colorBuffer[i-1];
double min = macd[i];
double max = macd[i];
double col = 0;
for(int k=1; k<ColorSteps && (i-k)>=0; k++)
{
min = (macd[i-k]<min) ? macd[i-k] : min;
max = (macd[i-k]>max) ? macd[i-k] : max;
}
if((max-min) == 0)
col = 50;
else col = 100 * (macd[i]-min)/(max-min);
colorBuffer[i] = MathFloor(col*cSteps/100.0);
}
}
return(rates_total);
}
//------------------------------------------------------------------
//
//------------------------------------------------------------------
//
//
//
//
//
double workHa[][4];
double getPrice(enPrices price, const double& open[], const double& close[], const double& high[], const double& low[], int i, int bars)
{
if (price>=pr_haclose && price<=pr_haaverage)
{
if (ArrayRange(workHa,0)!= bars) ArrayResize(workHa,bars);
//
//
//
//
//
double haOpen;
if (i>0)
haOpen = (workHa[i-1][2] + workHa[i-1][3])/2.0;
else haOpen = open[i]+close[i];
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[i][0] = haLow; workHa[i][1] = haHigh; }
else { workHa[i][0] = haHigh; workHa[i][1] = haLow; }
workHa[i][2] = haOpen;
workHa[i][3] = haClose;
//
//
//
//
//
switch (price)
{
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_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);
}
}
//
//
//
//
//
switch (price)
{
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_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);
}
return(0);
}
//------------------------------------------------------------------
//
//------------------------------------------------------------------
//
//
//
//
//
double workEma[][2];
double iEma(double price, double period, int r, int instanceNo=0)
{
if (ArrayRange(workEma,0)!= totalBars) ArrayResize(workEma,totalBars);
//
//
//
//
//
double alpha = 2.0 / (1.0+period);
workEma[r][instanceNo] = workEma[r-1][instanceNo]+alpha*(price-workEma[r-1][instanceNo]);
return(workEma[r][instanceNo]);
}
//------------------------------------------------------------------
//
//------------------------------------------------------------------
//
//
//
//
//
//
double workRsi[][3];
#define _price 0
#define _change 1
#define _changa 2
//
//
//
//
double iRsi(double price, double period, int bars, int i, int forInstance=0)
{
if (ArrayRange(workRsi,0)!=bars) ArrayResize(workRsi,bars);
int z = forInstance*3; double alpha = 1.0 /(double)period;
//
//
//
//
//
workRsi[i][_price+z] = price;
if (i<period)
{
int k; double sum = 0; for (k=0; k<period && (i-k-1)>=0; k++) sum += MathAbs(workRsi[i-k][_price+z]-workRsi[i-k-1][_price+z]);
workRsi[i][_change+z] = (workRsi[i][_price+z]-workRsi[0][_price+z])/MathMax(k,1);
workRsi[i][_changa+z] = sum/MathMax(k,1);
}
else
{
double change = workRsi[i][_price+z]-workRsi[i-1][_price+z];
workRsi[i][_change+z] = workRsi[i-1][_change+z] + alpha*( change - workRsi[i-1][_change+z]);
workRsi[i][_changa+z] = workRsi[i-1][_changa+z] + alpha*(MathAbs(change) - workRsi[i-1][_changa+z]);
}
if (workRsi[i][_changa+z] != 0)
return(50.0*(workRsi[i][_change+z]/workRsi[i][_changa+z]+1));
else return(0);
}
//------------------------------------------------------------------
//
//------------------------------------------------------------------
//
//
//
//
//
color getColor(int stepNo, int totalSteps, color from, color to)
{
double stes = (double)totalSteps-1.0;
double step = (from-to)/(stes);
return((color)round(from-step*stepNo));
}
color gradientColor(int step, int totalSteps, color from, color to)
{
color newBlue = getColor(step,totalSteps,(from & 0XFF0000)>>16,(to & 0XFF0000)>>16)<<16;
color newGreen = getColor(step,totalSteps,(from & 0X00FF00)>> 8,(to & 0X00FF00)>> 8) <<8;
color newRed = getColor(step,totalSteps,(from & 0X0000FF) ,(to & 0X0000FF) ) ;
return(newBlue+newGreen+newRed);
}
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