Integrate one indicator into another and use its value

MQL5 Indicators

Job finished

Execution time 47 days
Feedback from employee
Thank You Sir

Specification

Hi there,

I'm using two indicators:

1. Hull

2. ATR2


Hull:

//------------------------------------------------------------------
#property copyright "© mladen, 2019"
#property link      "mladenfx@gmail.com"
//------------------------------------------------------------------
#property indicator_chart_window
#property indicator_buffers 2
#property indicator_plots   1
#property indicator_label1  "Hull"
#property indicator_type1   DRAW_COLOR_LINE
#property indicator_color1  clrGray,clrMediumSeaGreen,clrOrangeRed
#property indicator_width1  2

//
//
//
//
//

input int                inpPeriod  = 105;          // Period
input double             inpDivisor = 2.0;         // Divisor ("speed")
input ENUM_APPLIED_PRICE inpPrice   = PRICE_CLOSE; // Price

double val[],valc[];

//------------------------------------------------------------------
//
//------------------------------------------------------------------
//
//
//

int OnInit()
{
   SetIndexBuffer(0,val,INDICATOR_DATA);
   SetIndexBuffer(1,valc,INDICATOR_COLOR_INDEX);
      iHull.init(inpPeriod,inpDivisor);
         IndicatorSetString(INDICATOR_SHORTNAME,"Hull ("+(string)inpPeriod+")");
   return (INIT_SUCCEEDED);
}
void OnDeinit(const int reason)
{
}

//------------------------------------------------------------------
//
//------------------------------------------------------------------
//
//
//
//
//

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[])
{
   int i= prev_calculated-1; if (i<0) i=0; for (; i<rates_total && !_StopFlag; i++)
   {
      val[i]  = iHull.calculate(getPrice(inpPrice,open,high,low,close,i),i,rates_total);
      valc[i] = (i>0) ? (val[i]>val[i-1]) ? 1 : (val[i]<val[i-1]) ? 2 : valc[i-1] : 0;
   }
   return(i);
}

//------------------------------------------------------------------
// Custom function(s)
//------------------------------------------------------------------
//
//---
//

class CHull
{
   private :
      int    m_fullPeriod;
      int    m_halfPeriod;
      int    m_sqrtPeriod;
      int    m_arraySize;
      double m_weight1;
      double m_weight2;
      double m_weight3;
      struct sHullArrayStruct
         {
            double value;
            double value3;
            double wsum1;
            double wsum2;
            double wsum3;
            double lsum1;
            double lsum2;
            double lsum3;
         };
      sHullArrayStruct m_array[];
   
   public :
      CHull() : m_fullPeriod(1), m_halfPeriod(1), m_sqrtPeriod(1), m_arraySize(-1) {                     }
     ~CHull()                                                                      { ArrayFree(m_array); }
     
      ///
      ///
      ///
     
      bool init(int period, double divisor)
      {
            m_fullPeriod = (int)(period>1 ? period : 1);   
            m_halfPeriod = (int)(m_fullPeriod>1 ? m_fullPeriod/(divisor>1 ? divisor : 1) : 1);
            m_sqrtPeriod = (int) MathSqrt(m_fullPeriod);
            m_arraySize  = -1; m_weight1 = m_weight2 = m_weight3 = 1;
               return(true);
      }
      
      //
      //
      //
      
      double calculate( double value, int i, int bars)
      {
         if (m_arraySize<bars) { m_arraySize = ArrayResize(m_array,bars+500); if (m_arraySize<bars) return(0); }
            
            //
            //
            //
             
            m_array[i].value=value;
            if (i>m_fullPeriod)
            {
               m_array[i].wsum1 = m_array[i-1].wsum1+value*m_halfPeriod-m_array[i-1].lsum1;
               m_array[i].lsum1 = m_array[i-1].lsum1+value-m_array[i-m_halfPeriod].value;
               m_array[i].wsum2 = m_array[i-1].wsum2+value*m_fullPeriod-m_array[i-1].lsum2;
               m_array[i].lsum2 = m_array[i-1].lsum2+value-m_array[i-m_fullPeriod].value;
            }
            else
            {
               m_array[i].wsum1 = m_array[i].wsum2 =
               m_array[i].lsum1 = m_array[i].lsum2 = m_weight1 = m_weight2 = 0;
               for(int k=0, w1=m_halfPeriod, w2=m_fullPeriod; w2>0 && i>=k; k++, w1--, w2--)
               {
                  if (w1>0)
                  {
                     m_array[i].wsum1 += m_array[i-k].value*w1;
                     m_array[i].lsum1 += m_array[i-k].value;
                     m_weight1        += w1;
                  }                  
                  m_array[i].wsum2 += m_array[i-k].value*w2;
                  m_array[i].lsum2 += m_array[i-k].value;
                  m_weight2        += w2;
               }
            }
            m_array[i].value3=2.0*m_array[i].wsum1/m_weight1-m_array[i].wsum2/m_weight2;
         
            // 
            //---
            //
         
            if (i>m_sqrtPeriod)
            {
               m_array[i].wsum3 = m_array[i-1].wsum3+m_array[i].value3*m_sqrtPeriod-m_array[i-1].lsum3;
               m_array[i].lsum3 = m_array[i-1].lsum3+m_array[i].value3-m_array[i-m_sqrtPeriod].value3;
            }
            else
            {  
               m_array[i].wsum3 =
               m_array[i].lsum3 = m_weight3 = 0;
               for(int k=0, w3=m_sqrtPeriod; w3>0 && i>=k; k++, w3--)
               {
                  m_array[i].wsum3 += m_array[i-k].value3*w3;
                  m_array[i].lsum3 += m_array[i-k].value3;
                  m_weight3        += w3;
               }
            }         
         return(m_array[i].wsum3/m_weight3);
      }
};
CHull iHull;

//
//---
//

template <typename T>
double getPrice(ENUM_APPLIED_PRICE tprice, T& open[], T& high[], T& low[], T& close[], int i)
{
   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);
}
//------------------------------------------------------------------

In this indicator the value for "inpPeriod" of each candle should be set to

inpPeriod = (1 / ATR2[0]) * 15000). In case of the "dow jones" 15000 is a good number.

That means: inpPeriod should be calculated new for each candle by this formula. As a consequence inpPeriod will be different for each candle.

The value of ATR2[0] should be generated like in the following code:


// ATR2

double      ATR2[];                // array for the indicator ATR2

int         ATR2_handle;           // handle of the indicator ATR2



   // ATR2

      ATR2_handle=iATR(_Symbol,_Period,2);

      if(ATR2_handle < 0) {

         Print("The creation of ATR2_handle has failed: Runtime error =",GetLastError());

         return(-1);

      }



   //ATR2

   if(CopyBuffer(ATR2_handle,0,0,2,ATR2) <= 0){

      Print("CopyBuffer(ATR2_handle,0,0,2,ATR2) <= 0)");

      Message[1] = "CopyBuffer(ATR2_handle,0,0,2,ATR2) <= 0)";

      return(0);

   }

   ArraySetAsSeries(ATR2,true);

   //Set Value

   TTAtr_2[TradeType] = ATR2[0];


Responded

1
Developer 1
Rating
(337)
Projects
624
38%
Arbitration
40
23% / 65%
Overdue
93
15%
Free
Published: 4 articles, 19 codes
2
Developer 2
Rating
(75)
Projects
124
44%
Arbitration
14
29% / 50%
Overdue
17
14%
Free
3
Developer 3
Rating
(64)
Projects
144
46%
Arbitration
20
40% / 20%
Overdue
32
22%
Free
Similar orders
Hello, I want a simple bot for NinjaTrader8. I need a bot that operates automatically on Nasdaq (NQ/MNQ). Requirements: open buys and sells following a simple trend strategy, configurable stop loss and take profit, risk per trade of 1 to 2% of capital, if it loses 3% in a day, stop trading until the next day. Compatible with backtesting, delivery of the source code and the working bot in NinjaTrader 8. My initial
[8/4/2026 4:54 AM] DR.HassaN: AI Gold Analysis Web Platform Requirements Hello, I would like to build a professional AI-powered web platform dedicated exclusively to Gold (XAU/USD) analysis . This is NOT a trading platform or broker . It is an intelligent analysis platform that provides high-quality trading signals and detailed market analysis. The platform should have a modern, premium design with my own branding
Ema100+Fibo 30+ USD
I need a robot that sends me a notification when the price aligns with the EMA and my Fibonacci levels—using specific Fibonacci settings—and then either opens a trade based on the Fibonacci SL and TP or simply sends me a notification. And I want the robot to run in both the Strategy Tester and on a demo account, so I can test it beforehand
I need a custom technical indicator that generates an equidistant channel with two specific structural features: 1. Vertical Multi-Intervals: The ability to plot more than 5 parallel, able to allow me to put intervals 2. Horizontal Angle Input: The ability to manually input geometric angle to strictly define the horizontal slope of the channel or allow me to pick two points manually. i am looking for something like
//+------------------------------------------------------------------+ //| DX_Structure_H1.mq5 | //| Copyright 2026, Seu Nome | //| https://www.mql5.com | //+------------------------------------------------------------------+ #property copyright "Copyright 2026" #property link " https://www.mql5.com " #property version "1.00" #property strict // Parâmetros de Entrada input string InpSymbol = "DX.F"; // Nome do Ativo
Hola, traders e inversores: Desarrollamos soluciones de trading algorítmico para MetaTrader 4 y MetaTrader 5. Creamos bots, indicadores y herramientas a medida que convierten estrategias manuales en sistemas automáticos, configurables y orientados a una gestión de riesgo sólida. Hemos trabajado en automatizaciones que integran entradas y salidas por reglas, cálculo de lotaje, control de drawdown, filtros de horario y
> "I am looking for a reliable and profitable Expert Advisor (EA) or trading robot for MetaTrader. The EA should have a proven track record, good risk management, and stable performance in live market conditions. Please share the name of the EA, a brief explanation of how its strategy works, and any relevant performance statistics or backtest reports to help me evaluate it."
I have an MT4 custom indicator (.ex4) that I use regularly, and I would like an identical MT5 version. Important: I do not have the source code (.mq4). I only have the compiled MT4 indicator. I am looking for an experienced MQL developer who can recreate the indicator's functionality and appearance for MT5 by analyzing its behavior. The MT5 version should match the MT4 version as closely as possible, including
I have a technical specification ready for a custom alert indicator in NinjaTrader 8 (NinjaScript / C#). Important clarification: it is NOT an automatic trading bot, it is solely a visual indicator (arrows/lines on the chart) and sound alerts (notifications) based on EMA crossovers and range breakouts (ORB 15m) on lower timeframes for futures (MES). I already have the exact rules written out unambiguously
A good trend predicting indicator is the one which can identify the trend change as soon as it happens on the chart. when a new candle is formed it should tell whether its going to go up or down. I have already seen a lot of repainting trend predictors so if your indicator is repainting then please don't bother contacting. I would like to see the demo version and then if satisfied , I would want the source code too

Project information

Budget
40+ USD
Deadline
to 3 day(s)