Kalman_Filter

Author: Copyright 2018, MetaQuotes Software Corp.
Price Data Components
Indicators Used
Moving average indicator
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Kalman_Filter
ÿþ//+------------------------------------------------------------------+

//|                                                Kalman_Filter.mq5 |

//|                        Copyright 2018, MetaQuotes Software Corp. |

//|                                                 https://mql5.com |

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

#property copyright "Copyright 2018, MetaQuotes Software Corp."

#property link      "https://mql5.com"

#property version   "1.00"

#property description "Kalman Filter indicator"

#property indicator_chart_window

#property indicator_buffers 3

#property indicator_plots   1

//--- plot KF

#property indicator_label1  "Kalman Filter"

#property indicator_type1   DRAW_LINE

#property indicator_color1  clrPurple

#property indicator_style1  STYLE_SOLID

#property indicator_width1  1

//--- input parameters

input double               InpK              =  1.0;           // K

input double               InpSharpness      =  1.0;           // Sharpness

input ENUM_APPLIED_PRICE   InpAppliedPrice   =  PRICE_CLOSE;   // Applied price

//--- indicator buffers

double         BufferKF[];

double         BufferMA[];

double         BufferVelocity[];

//--- global variables

double         k;

double         s;

double         shK;

int            handle_ma;

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

//| Custom indicator initialization function                         |

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

int OnInit()

  {

//--- set global variables

   k=(InpK<0.01 ? 0.01 : InpK);

   s=(InpSharpness<0 ? 0 : InpSharpness);

   shK=sqrt(s*k/100.0);

//--- indicator buffers mapping

   SetIndexBuffer(0,BufferKF,INDICATOR_DATA);

   SetIndexBuffer(1,BufferMA,INDICATOR_CALCULATIONS);

   SetIndexBuffer(2,BufferVelocity,INDICATOR_CALCULATIONS);

//--- setting indicator parameters

   IndicatorSetString(INDICATOR_SHORTNAME,"Kalman Filter ("+DoubleToString(k,2)+","+DoubleToString(s,2)+")");

   IndicatorSetInteger(INDICATOR_DIGITS,Digits());

//--- setting buffer arrays as timeseries

   ArraySetAsSeries(BufferKF,true);

   ArraySetAsSeries(BufferMA,true);

   ArraySetAsSeries(BufferVelocity,true);

//--- create MA's handles

   ResetLastError();

   handle_ma=iMA(NULL,PERIOD_CURRENT,1,0,MODE_SMA,InpAppliedPrice);

   if(handle_ma==INVALID_HANDLE)

     {

      Print("The iMA(1) object was not created: Error ",GetLastError());

      return INIT_FAILED;

     }

//---

   return(INIT_SUCCEEDED);

  }

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

//| 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[])

  {

//--- @>25@:0 8 @0AGQB :>;8G5AB20 ?@>AG8BK205<KE 10@>2

   if(rates_total<4) return 0;

//--- @>25@:0 8 @0AGQB :>;8G5AB20 ?@>AG8BK205<KE 10@>2

   int limit=rates_total-prev_calculated;

   if(limit>1)

     {

      limit=rates_total-2;

      ArrayInitialize(BufferKF,EMPTY_VALUE);

      ArrayInitialize(BufferMA,0);

      ArrayInitialize(BufferVelocity,0);

     }

//--- >43>B>2:0 40==KE

   int count=(limit>1 ? rates_total : 1),copied=0;

   copied=CopyBuffer(handle_ma,0,0,count,BufferMA);

   if(copied!=count) return 0;



//---  0AGQB 8=48:0B>@0

   for(int i=limit; i>=0 && !IsStopped(); i--)

     {

      if(i==rates_total-2)

        {

         BufferVelocity[i]=0;

         BufferKF[i]=BufferMA[i];

        }

      else

        {

         double distance=BufferMA[i]-BufferKF[i+1];

         double error=BufferKF[i+1]+distance*shK;

         BufferVelocity[i]=BufferVelocity[i+1]+distance*k/100.0;

         BufferKF[i]=error+BufferVelocity[i];

        }

     }



//--- return value of prev_calculated for next call

   return(rates_total);

  }

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

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