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
21
38% / 24%
Overdue
32
22%
Free
Similar orders
I DO NOT need any programming or strategy development. I already have a working NinjaTrader 8 automated strategy based on a 3/5 EMA crossover. I need you to run my existing strategy through NinjaTrader Strategy Analyzer/Optimizer, test the existing adjustable parameters, and find robust settings with the best profit factor and lowest reasonable drawdown. I will provide the existing NinjaScript ZIP. I do not want the
Mr quetta 100+ USD
Yes, that is exactly what I need. The bot should not be restricted to a fixed list of currency pairs. It should technically scan all available Quotex pairs in real time and automatically select the pair where the market conditions are strongest. The bot should analyze each pair using multiple confirmations, such as short-term price momentum, trend direction, market structure, support/resistance, candle formation
Platform: TradingView Programming Language: Pine Script v6 Type: Custom Indicator Project Name: Scalping Reaction Zones + Valid Order Blocks MAIN GOAL I need a custom TradingView indicator for scalping. The indicator must detect: 1. Reaction / Explosion Zones 2. Valid Order Blocks 3. Combined Reaction Zone + Order Block zones The indicator should NOT generate: Buy signals Sell signals TP SL Entry signals Trading
Project Description I am looking for an experienced MQL5/MT5 Expert Advisor developer to develop an automated trading EA for XAUUSD on the M3 timeframe , running on an Exness account . The EA will automate a manual strategy based on SNR/GAP zones , using two setup types: Price Rejection Price Correction The EA should identify valid BUY/SELL setups around predefined SNR/GAP areas, apply configurable RSI, SMA, EMA and
Indicador Maximas e Minimas + Super Trend O Indicador MAX/MIN é um indicador de análise técnica para o MetaTrader 5 , desenvolvido para ajudar você a identificar regiões importantes de preço e possíveis oportunidades de compra e venda. O que ele faz MAX/MIN: identifica máximas e mínimas relevantes do mercado e mostra os preços no gráfico. HH / HL / LH / LL: ajuda a visualizar a estrutura do mercado, mostrando quando
Hello Traders, Have a trading strategy or idea you want to automate? I specialize exclusively in MQL5 development, helping traders turn their concepts into professional trading solutions. Custom Expert Advisors — automate your strategy and reduce manual execution Custom Indicators — transform your market ideas into powerful trading tools Fix & Debug — identify errors and get your existing code working properly
I DO NOT need any programming or strategy development. I already have a working NinjaTrader 8 automated strategy based on a 3/5 EMA crossover. I need you to run my existing strategy through NinjaTrader Strategy Analyzer/Optimizer, test the existing adjustable parameters, and find robust settings with the best profit factor and lowest reasonable drawdown. I will provide the existing NinjaScript ZIP. I do not want the
I'm looking for an experienced developer to create an automated gold trading bot. The bot should be compatible with MetaTrader 4/5 and TradingView. Key Requirements: - Automated trading bot - Compatible with MetaTrader 4/5 and TradingView - Implement scalping and swing trading strategies Ideal Skills and Experience: - Proficiency in trading algorithms - Experience with gold trading - Familiarity with MetaTrader and
I need a robust optimization of my MT5 EA, mainly for XAUUSD (Gold). Please optimize the existing adjustable parameters such as entry/exit settings, SL/TP, trailing/break-even settings, and any other strategy parameters that are appropriate. I want the optimization focused on stable profitability, low/moderate drawdown, and robustness rather than simply the highest possible profit. Please use out-of-sample testing
NinjaTrader 8 / NinjaScript Phase 1 build: convert an existing Auction Market Theory (AMT) strategy into objective, alert-only decision-support logic. Not a bot, no auto-execution — trades stay manual. Covers NQ/MNQ, ES, CL, MGC using 30-min TPO/Volume Profile context with 5-min confirmation: one 5-min close outside VAH/VAL = acceptance, close back inside = rejection. Dashboard shows bias, auction state, location

Project information

Budget
40+ USD
Deadline
to 3 day(s)