Price Data Components
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Schaff trend RSI
ÿþ//------------------------------------------------------------------
#property copyright "Copyright 2017, mladen"
#property link "mladenfx@gmail.com"
#property description "Schaff trend RSI"
#property version "1.00"
//------------------------------------------------------------------
#property indicator_separate_window
#property indicator_buffers 2
#property indicator_plots 1
#property indicator_label1 "Schaff trend RSI value"
#property indicator_type1 DRAW_COLOR_LINE
#property indicator_color1 clrSilver,clrLimeGreen,clrOrange
#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_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
};
// input parameters
input int FastEma = 23; // Fast ema period
input int SlowEma = 50; // Slow ema period
input double RsiPeriod = 9; // Rsi period
input enPrices Price = pr_close; // Price
double val[],valc[];
//+------------------------------------------------------------------+
//| |
//+------------------------------------------------------------------+
void OnInit()
{
SetIndexBuffer(0,val,INDICATOR_DATA);
SetIndexBuffer(1,valc,INDICATOR_COLOR_INDEX);
IndicatorSetString(INDICATOR_SHORTNAME,"Schaff trend RSI ("+(string)FastEma+","+(string)SlowEma+","+(string)RsiPeriod+")");
}
//+------------------------------------------------------------------+
//| |
//+------------------------------------------------------------------+
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(Bars(_Symbol,_Period)<rates_total) return(-1);
//
//---
//
int i=(int)MathMax(prev_calculated-1,0); for(; i<rates_total && !_StopFlag; i++)
{
double price=getPrice(Price,open,close,high,low,i,rates_total);
val[i] = iRsi(iEma(price,FastEma,i,rates_total,0)-iEma(price,SlowEma,i,rates_total,1),RsiPeriod,i,rates_total);
valc[i] = (i>0) ? (val[i]>val[i-1]) ? 1 : (val[i]<val[i-1]) ? 2 : 0 : 0;
}
return(i);
}
//------------------------------------------------------------------
// custom functions
//------------------------------------------------------------------
#define rsiInstances 1
double workRsi[][rsiInstances*3];
#define _price 0
#define _prices 3
#define _change 1
#define _changa 2
//
//---
//
double iRsi(double price,double period,int r,int bars,int instanceNo=0)
{
if(ArrayRange(workRsi,0)!=bars) ArrayResize(workRsi,bars);
int z=instanceNo*3;
//
//---
//
workRsi[r][z+_price]=price;
double alpha=1.0/MathMax(period,1);
if(r<period)
{
int k; double sum=0; for(k=0; k<period && (r-k-1)>=0; k++) sum+=MathAbs(workRsi[r-k][z+_price]-workRsi[r-k-1][z+_price]);
workRsi[r][z+_change] = (workRsi[r][z+_price]-workRsi[0][z+_price])/MathMax(k,1);
workRsi[r][z+_changa] = sum/MathMax(k,1);
}
else
{
double change=workRsi[r][z+_price]-workRsi[r-1][z+_price];
workRsi[r][z+_change] = workRsi[r-1][z+_change] + alpha*( change - workRsi[r-1][z+_change]);
workRsi[r][z+_changa] = workRsi[r-1][z+_changa] + alpha*(MathAbs(change) - workRsi[r-1][z+_changa]);
}
return(50.0*(workRsi[r][z+_change]/MathMax(workRsi[r][z+_changa],DBL_MIN)+1));
}
//
//---
//
double workEma[][2];
//
//---
//
double iEma(double price,double period,int r,int _bars,int instanceNo=0)
{
if(ArrayRange(workEma,0)!=_bars) ArrayResize(workEma,_bars);
workEma[r][instanceNo]=price;
if(r>0 && period>1)
workEma[r][instanceNo]=workEma[r-1][instanceNo]+(2.0/(1.0+period))*(price-workEma[r-1][instanceNo]);
return(workEma[r][instanceNo]);
}
//
//---
//
#define _pricesInstances 1
#define _pricesSize 4
double workHa[][_pricesInstances*_pricesSize];
//
//---
//
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); instanceNo*=_pricesSize;
double haOpen = (i>0) ? (workHa[i-1][instanceNo+2]+workHa[i-1][instanceNo+3])/2.0 : (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[i][instanceNo+0] = haLow; workHa[i][instanceNo+1] = haHigh; }
else { workHa[i][instanceNo+0] = haHigh; workHa[i][instanceNo+1] = haLow; }
workHa[i][instanceNo+2] = haOpen;
workHa[i][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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