MACD of RSI adaptive EMA

Author: © mladen, 2018
Price Data Components
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MACD of RSI adaptive EMA
ÿþ//+------------------------------------------------------------------

#property copyright   "© mladen, 2018"

#property link        "mladenfx@gmail.com"

#property description "MACD of RSI adaptive EMA"

//+------------------------------------------------------------------

#property indicator_separate_window

#property indicator_buffers 5

#property indicator_plots   2

#property indicator_label1  "MACD"

#property indicator_type1   DRAW_COLOR_LINE

#property indicator_color1  clrDarkGray,clrDeepSkyBlue,clrLightSalmon

#property indicator_width1  2

#property indicator_label2  "MACD signal line"

#property indicator_type2   DRAW_LINE

#property indicator_color2  clrRed

#property indicator_style2  STYLE_DOT

//--- input parameters

enum enColorOn

{

   color_onSlope, // Change color on MACD slope change

   color_onZero,  // Change color on MACD crossing zero line

   color_onSignal // Change color on MACD crossing signal line

};

input int                inpFastPeriod   = 12;           // MACD fast period

input int                inpSlowPeriod   = 26;           // MACD slow period

input int                inpSignalPeriod = 9;            // MACD signal period

input ENUM_APPLIED_PRICE inpPrice        = PRICE_CLOSE;  // Price 

input enColorOn          inpColorOn      = color_onZero; // Color change on :

//--- buffers declarations

double val[],valc[],signal[],emaf[],emas[];

//+------------------------------------------------------------------+

//| Custom indicator initialization function                         |

//+------------------------------------------------------------------+

int OnInit()

  {

//--- indicator buffers mapping

   SetIndexBuffer(0,val,INDICATOR_DATA);

   SetIndexBuffer(1,valc,INDICATOR_COLOR_INDEX);

   SetIndexBuffer(2,signal,INDICATOR_DATA);

   SetIndexBuffer(3,emaf,INDICATOR_CALCULATIONS);

   SetIndexBuffer(4,emas,INDICATOR_CALCULATIONS);

//--- indicator short name assignment

   IndicatorSetString(INDICATOR_SHORTNAME,"MACD of RSI adaptive EMA ("+(string)inpFastPeriod+","+(string)inpSlowPeriod+","+(string)inpSignalPeriod+")");

//---

   return (INIT_SUCCEEDED);

  }

//+------------------------------------------------------------------+

//| Custom indicator de-initialization function                      |

//+------------------------------------------------------------------+

void OnDeinit(const int reason)

  {

  }

//+------------------------------------------------------------------+

//| Custom indicator iteration function                              |

//+------------------------------------------------------------------+

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(prev_calculated);

   double _alphaSignal = 2.0 / (1.0 + inpSignalPeriod);

   int i=(int)MathMax(prev_calculated-1,0); for(; i<rates_total && !_StopFlag; i++)

     {

         double _price  = getPrice(inpPrice,open,close,high,low,i,rates_total);

		   double _alphaf = MathAbs(iRsi(_price,inpFastPeriod  ,i,rates_total,0)/100.0 - 0.5) * 2.0;

		   double _alphas = MathAbs(iRsi(_price,inpSlowPeriod  ,i,rates_total,1)/100.0 - 0.5) * 2.0;

      

         emaf[i]   = (i>0) ? emaf[i-1]+_alphaf*(_price-emaf[i-1]) : _price;

         emas[i]   = (i>0) ? emas[i-1]+_alphas*(_price-emas[i-1]) : _price;

         val[i]    = emaf[i] - emas[i];

         signal[i] = (i>0) ? signal[i-1] + _alphaSignal*(val[i]-signal[i-1]) : val[i];

         switch (inpColorOn)

         {

            case color_onSlope : valc[i] = (i>0) ? (val[i]>val[i-1]) ? 1 :(val[i]<val[i-1]) ? 2 : valc[i-1] : 0; break;

            case color_onZero  : valc[i] = (val[i]>0) ? 1 :(val[i]<0) ? 2 : (i>0) ? valc[i-1] : 0; break;

            default :            valc[i] = (val[i]>signal[i]) ? 1 :(val[i]<signal[i]) ? 2 : (i>0) ? valc[i-1] : 0;   

         }            

     }

   return (i);

  }

//+------------------------------------------------------------------+

//| Custom functions                                                 |

//+------------------------------------------------------------------+

#define _rsiInstances 2

#define _rsiInstancesSize 3

double workRsi[][_rsiInstances*_rsiInstancesSize];

#define _price  0

#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*_rsiInstancesSize;



//

//---

//



   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 getPrice(ENUM_APPLIED_PRICE tprice,const double &open[],const double &close[],const double &high[],const double &low[],int i,int _bars)

  {

   if(i>=0)

      switch(tprice)

        {

         case PRICE_CLOSE:     return(close[i]);

         case PRICE_OPEN:      return(open[i]);

         case PRICE_HIGH:      return(high[i]);

         case PRICE_LOW:       return(low[i]);

         case PRICE_MEDIAN:    return((high[i]+low[i])/2.0);

         case PRICE_TYPICAL:   return((high[i]+low[i]+close[i])/3.0);

         case PRICE_WEIGHTED:  return((high[i]+low[i]+close[i]+close[i])/4.0);

        }

   return(0);

  }

//+------------------------------------------------------------------+

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