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Adaptive_laguerre_filter_mclassical5
//------------------------------------------------------------------
#property copyright "www.forex-tsd.com"
#property link "www.forex-tsd.com"
//------------------------------------------------------------------
#property indicator_chart_window
#property indicator_buffers 3
#property indicator_plots 1
#property indicator_label1 "Laguerre filter"
#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+open+close)/4
pr_medianb, // Average median body (open+close)/2
pr_tbiased, // Trend biased 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
};
input int LookBack = 20; // Lookback period
input enPrices Price = pr_close; // Price to use
input int Median = 5; // Median for adapting
//
//
//
//
//
//
double lf[];
double colorBuffer[];
double diff[];
//+------------------------------------------------------------------+
//| |
//+------------------------------------------------------------------+
//
//
//
//
//
int OnInit()
{
SetIndexBuffer(0,lf,INDICATOR_DATA);
SetIndexBuffer(1,colorBuffer,INDICATOR_COLOR_INDEX);
SetIndexBuffer(2,diff,INDICATOR_CALCULATIONS);
return(0);
}
//+------------------------------------------------------------------+
//| |
//+------------------------------------------------------------------+
//
//
//
//
//
double sortDiff[];
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[])
{
if (ArraySize(sortDiff)!=Median) ArrayResize(sortDiff,Median);
//
//
//
//
//
for (int i=(int)MathMax(prev_calculated-1,0); i<rates_total && !IsStopped(); i++)
{
double price = getPrice(Price,open,close,high,low,i,rates_total);
if (i>0)
diff[i] = MathAbs(price-lf[i-1]);
else { diff[i] = 0; lf[i] = price; continue; }
double hi = diff[i];
double lo = diff[i];
for (int j=1; j<LookBack && (i-j)>=0; j++)
{
hi = MathMax(hi,diff[i-j]);
lo = MathMin(lo,diff[i-j]);
}
double alpha = 0;
if (hi!=lo)
{
for (int j=0; j<Median && (i-j)>=0; j++) sortDiff[j] = (diff[i-j]-lo)/(hi-lo);
ArraySort(sortDiff);
if (MathMod(Median,2.0) != 0) alpha = sortDiff[Median/2];
else alpha = (sortDiff[Median/2]+sortDiff[(Median/2)-1])/2;
}
//
//
//
//
//
lf[i] = iLaGuerreFilter(price,1-alpha,rates_total,i,0);
if (i>0)
{
colorBuffer[i] = colorBuffer[i-1];
if (lf[i] > lf[i-1]) colorBuffer[i]= 0;
if (lf[i] < lf[i-1]) colorBuffer[i]= 1;
}
}
return(rates_total);
}
//------------------------------------------------------------------
//
//------------------------------------------------------------------
//
//
//
//
//
double workLagFil[][4];
double iLaGuerreFilter(double price, double gamma, int bars, int i, int instanceNo=0)
{
if (ArrayRange(workLagFil,0)!=bars) ArrayResize(workLagFil,bars); instanceNo*=4;
if (price==EMPTY_VALUE) return(0);
if (gamma<=0) return(price);
//
//
//
//
//
if (i>0)
{
workLagFil[i][instanceNo+0] = (1.0 - gamma)*price + gamma*workLagFil[i-1][instanceNo+0];
workLagFil[i][instanceNo+1] = -gamma*workLagFil[i][instanceNo+0] + workLagFil[i-1][instanceNo+0] + gamma*workLagFil[i-1][instanceNo+1];
workLagFil[i][instanceNo+2] = -gamma*workLagFil[i][instanceNo+1] + workLagFil[i-1][instanceNo+1] + gamma*workLagFil[i-1][instanceNo+2];
workLagFil[i][instanceNo+3] = -gamma*workLagFil[i][instanceNo+2] + workLagFil[i-1][instanceNo+2] + gamma*workLagFil[i-1][instanceNo+3];
}
else
{
workLagFil[i][instanceNo+0] = price;
workLagFil[i][instanceNo+1] = price;
workLagFil[i][instanceNo+2] = price;
workLagFil[i][instanceNo+3] = price;
}
//
//
//
//
//
return((workLagFil[i][instanceNo+0]+2.0*workLagFil[i][instanceNo+1]+2.0*workLagFil[i][instanceNo+2]+workLagFil[i][instanceNo+3])/6.0);
}
//------------------------------------------------------------------
//
//------------------------------------------------------------------
//
//
//
//
//
//
#define priceInstances 1
double workHa[][priceInstances*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; instanceNo*=4;
//
//
//
//
//
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);
}
}
//
//
//
//
//
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);
}
return(0);
}
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