MA_Crossover_Email_Alert_v1

Download script
Author: Copyright � 2005, Jason Robinson (jnrtrading)
MA_Crossover_Email_Alert_v1

This script is designed as a technical analysis tool for the MetaTrader 4 platform, primarily intended to identify specific momentum shifts in financial markets. It works by tracking two different moving averages and identifying the exact moments they "cross" each other.

Core Functionality

The primary objective of this tool is to detect trend reversals or momentum changes. In trading terms, when a "fast" moving average (which reacts quickly to price changes) crosses over a "slow" moving average (which represents the broader trend), it often signals a potential change in market direction.

Key Features and Logic:

1. Versatile Moving Average Options The script allows users to customize how the averages are calculated. It supports several standard types, including:

  • Simple Moving Average (SMA)
  • Exponential Moving Average (EMA)
  • Smoothed/Linear Weighted Averages
  • Least Squares Moving Average (LSMA)
  • Triangular Moving Average (TMA)

2. Customizable Price Data Instead of just looking at the closing price of a candle, the user can choose which price points the averages should base their calculations on. This includes Open, High, Low, Close, or specialized weighted averages (such as Median, Typical, or Weighted prices).

3. Visual Signals on Chart When the script detects a crossover, it places visual markers directly on your trading chart:

  • Buy Signal: When the fast average crosses above the slow average, a marker appears below the candle.
  • Sell Signal: When the fast average crosses below the slow average, a marker appears above the candle.

4. Real-Time Notifications The script is equipped with an alert system to notify the trader immediately when a crossover occurs. Depending on user settings, it can:

  • Trigger an audible sound alert within the trading platform.
  • Send an email notification containing the specific price (Ask/Bid), date, time, and symbol of the market where the signal occurred.

5. Dynamic Range Calculation To ensure the visual markers (arrows) are placed at a readable distance from the candles, the script calculates the "Range" of the recent price action. It does this by measuring the volatility over the last 10 bars, ensuring the icons aren't overlapping with the actual price bars regardless of whether you are zoomed in or out.

Price Data Components
Series array that contains open time of each bar
Indicators Used
Moving average indicator
Miscellaneous
Implements a curve of type %1It issuies visual alerts to the screenIt sends emails
14 Views
0 Downloads
0 Favorites
MA_Crossover_Email_Alert_v1 
//+------------------------------------------------------------------+
//|                                           MA-Crossover_Alert.mq4 |
//|         Copyright © 2005, Jason Robinson (jnrtrading)            |
//|                   http://www.jnrtading.co.uk                     |
//| Modified by Robert Hill to add LSMA and alert or send email      |
//| Added Global LastAlert to try to have alert only on new cross    |
//| but does not seem to work. So indicator does alert every bar     |
//+------------------------------------------------------------------+

/*
  +------------------------------------------------------------------+
  | Allows you to enter two ma periods and it will then show you at  |
  | Which point they crossed over. It is more usful on the shorter   |
  | periods that get obscured by the bars / candlesticks and when    |
  | the zoom level is out. Also allows you then to remove the  mas   |
  | from the chart. (emas are initially set at 5 and 6)              |
  +------------------------------------------------------------------+
*/   
#property copyright "Copyright © 2005, Jason Robinson (jnrtrading)"
#property link      "http://www.jnrtrading.co.uk"

#property indicator_chart_window
#property indicator_buffers 2
#property indicator_color1 LawnGreen
#property indicator_width1 2
#property indicator_color2 Red
#property indicator_width2 2

extern bool SoundON=true;
extern bool EmailON=false;

extern int FastMA_Mode = 1; //0=sma, 1=ema, 2=smma, 3=lwma, 4=lsma
extern int FastMA_Period =   5;
extern int FastPriceMode = 0;//0=close, 1=open, 2=high, 3=low, 4=median(high+low)/2, 5=typical(high+low+close)/3, 6=weighted(high+low+close+close)/4
extern int SlowMA_Mode = 1; //0=sma, 1=ema, 2=smma, 3=lwma, 4=lsma
extern int SlowMA_Period =   6;
extern int SlowPriceMode = 0;//0=close, 1=open, 2=high, 3=low, 4=median(high+low)/2, 5=typical(high+low+close)/3, 6=weighted(high+low+close+close)/4
double CrossUp[];
double CrossDown[];
int flagval1 = 0;
int flagval2 = 0;

//int    weights[]; // Array uses by TMA
//double divisor;   // Used by TMA

//+------------------------------------------------------------------+
//| Custom indicator initialization function                         |
//+------------------------------------------------------------------+
int init()
  {
 
//---- indicators
//   IndicatorBuffers(3);
   SetIndexStyle(0, DRAW_ARROW, EMPTY);
   SetIndexArrow(0, 233);
   SetIndexBuffer(0, CrossUp);
   SetIndexStyle(1, DRAW_ARROW, EMPTY);
   SetIndexArrow(1, 234);
   SetIndexBuffer(1, CrossDown);
//----

   return(0);
  }
//+------------------------------------------------------------------+
//| Custom indicator deinitialization function                       |
//+------------------------------------------------------------------+
int deinit()
  {
//---- 

//----
   return(0);
  }

//+------------------------------------------------------------------+
//| LSMA with PriceMode                                              |
//| PrMode  0=close, 1=open, 2=high, 3=low, 4=median(high+low)/2,    |
//| 5=typical(high+low+close)/3, 6=weighted(high+low+close+close)/4  |
//+------------------------------------------------------------------+

double LSMA(int Rperiod, int prMode, int shift)
{
   int i;
   double sum, pr;
   int length;
   double lengthvar;
   double tmp;
   double wt;

   length = Rperiod;
 
   sum = 0;
   for(i = length; i >= 1  ; i--)
   {
     lengthvar = length + 1;
     lengthvar /= 3;
     tmp = 0;
     switch (prMode)
     {
     case 0: pr = Close[length-i+shift];break;
     case 1: pr = Open[length-i+shift];break;
     case 2: pr = High[length-i+shift];break;
     case 3: pr = Low[length-i+shift];break;
     case 4: pr = (High[length-i+shift] + Low[length-i+shift])/2;break;
     case 5: pr = (High[length-i+shift] + Low[length-i+shift] + Close[length-i+shift])/3;break;
     case 6: pr = (High[length-i+shift] + Low[length-i+shift] + Close[length-i+shift] + Close[length-i+shift])/4;break;
     }
     tmp = ( i - lengthvar)*pr;
     sum+=tmp;
    }
    wt = sum*6/(length*(length+1));
    
    return(wt);
}

/*//====================================================================
// TMA coded as function from indicator code to save time on backtest
//====================================================================
double TMA(int Periods,int AppliedPrice,int shift)
{

  int i,j;
  double dPeriods = Periods;
  int to=MathCeil(dPeriods/2.0);
  
  //Calculate weigths
  ArrayResize(weights,Periods);

  for(i=0; i<to; i++)
  {
    weights[i]            = i+1;
    weights[Periods-1-i]  = i+1;
  }

  divisor = 0.0;
  
  for(j=0; j<Periods; j++)
    divisor += weights[j];
    
  double tma_val = 0.0;
  for(j=0; j<Periods; j++)
  {
      double price = getPrice(AppliedPrice, Periods-j);
      tma_val += price*weights[j];
  }

  return( tma_val/divisor);
}

//===================
// Used by TMA
//===================
double getPrice(int priceType, int index)
{
  double price = 0.0;
  
  switch(priceType)
  {
    case PRICE_OPEN    : price = Open[index];
                         break;
  
    case PRICE_HIGH    : price = High[index];
                         break;
  
    case PRICE_LOW     : price = Low[index];
                         break;
  
    case PRICE_MEDIAN  : price = (High[index]+Low[index])/2.0;
                         break;
  
    case PRICE_TYPICAL : price = (High[index]+Low[index]+Close[index])/3.0;
                         break;

    case PRICE_WEIGHTED: price = (High[index]+Low[index]+2*Close[index])/4.0;
                         break;

    
    case PRICE_CLOSE   : 
    default            : price = Close[index];
                         break;

  }
  
  return(price);
}
*/

//+------------------------------------------------------------------+
//| Custom indicator iteration function                              |
//+------------------------------------------------------------------+
int start() {
   int limit, i, counter;
   double tmp=0;
   double fastMAnow, slowMAnow, fastMAprevious, slowMAprevious;
   double Range, AvgRange;
   int counted_bars=IndicatorCounted();
//---- check for possible errors
   if(counted_bars<0) return(-1);
//---- last counted bar will be recounted
   if(counted_bars>0) counted_bars--;

   limit=Bars-counted_bars;
   
   for(i = 0; i <= limit; i++) {
   
      counter=i;
      Range=0;
      AvgRange=0;
      for (counter=i ;counter<=i+9;counter++)
      {
         AvgRange=AvgRange+MathAbs(High[counter]-Low[counter]);
      }
      Range=AvgRange/10;
       
      switch(FastMA_Mode)
      {
        case 4 :
        {
         fastMAnow = LSMA(FastMA_Period, FastPriceMode, i);
         fastMAprevious = LSMA(FastMA_Period, FastPriceMode,  i+1);
         break;
        }
        case 5 :
        {
   fastMAnow = iCustom(Symbol(),0,"TMA",FastMA_Period,0,i);
   fastMAprevious = iCustom(Symbol(),0,"TMA",FastMA_Period,0,i+1);
//         fastMAnow = TMA(FastMA_Period, FastPriceMode, i);
//         fastMAprevious = TMA(FastMA_Period, FastPriceMode, i+1);
         break;
        }
      
        default :
        {
         fastMAnow = iMA(NULL, 0, FastMA_Period, 0, FastMA_Mode, FastPriceMode, i);
         fastMAprevious = iMA(NULL, 0, FastMA_Period, 0, FastMA_Mode, FastPriceMode, i+1);
        }
      }

      switch(SlowMA_Mode)
      {
        case 4 :
        {
         slowMAnow = LSMA( SlowMA_Period, SlowPriceMode, i);
         slowMAprevious = LSMA( SlowMA_Period, SlowPriceMode, i+1);
        }
        case 5 :
        {
   slowMAnow = iCustom(Symbol(),0,"TMA",SlowMA_Period,0,i);
   slowMAprevious = iCustom(Symbol(),0,"TMA",SlowMA_Period,0,i+1);
//         slowMAnow = TMA(SlowMA_Period, SlowPriceMode, i);
//         slowMAprevious = TMA(SlowMA_Period, SlowPriceMode, i+1);
         break;
        }
        
        default :
        {
         slowMAnow = iMA(NULL, 0, SlowMA_Period, 0, SlowMA_Mode, SlowPriceMode, i);
         slowMAprevious = iMA(NULL, 0, SlowMA_Period, 0, SlowMA_Mode, SlowPriceMode, i+1);
        }
      }
      
      if ((fastMAnow > slowMAnow) && (fastMAprevious < slowMAprevious))
      {
         if (i == 1 && flagval1==0)
         {
           flagval1=1;
           flagval2=0;
           if (SoundON) Alert("BUY signal at Ask=",Ask,"\n Bid=",Bid,"\n Time=",TimeToStr(CurTime(),TIME_DATE)," ",TimeHour(CurTime()),":",TimeMinute(CurTime()),"\n Symbol=",Symbol()," Period=",Period());
           if (EmailON) SendMail("BUY signal alert","BUY signal at Ask="+DoubleToStr(Ask,4)+", Bid="+DoubleToStr(Bid,4)+", Date="+TimeToStr(CurTime(),TIME_DATE)+" "+TimeHour(CurTime())+":"+TimeMinute(CurTime())+" Symbol="+Symbol()+" Period="+Period());
         }
         CrossUp[i] = Low[i] - Range*0.75;
      }
      else if ((fastMAnow < slowMAnow) && (fastMAprevious > slowMAprevious))
      {
         if (i == 1 && flagval2==0)
         {
           flagval2=1;
           flagval1=0;
           if (SoundON) Alert("SELL signal at Ask=",Ask,"\n Bid=",Bid,"\n Date=",TimeToStr(CurTime(),TIME_DATE)," ",TimeHour(CurTime()),":",TimeMinute(CurTime()),"\n Symbol=",Symbol()," Period=",Period());
           if (EmailON) SendMail("SELL signal alert","SELL signal at Ask="+DoubleToStr(Ask,4)+", Bid="+DoubleToStr(Bid,4)+", Date="+TimeToStr(CurTime(),TIME_DATE)+" "+TimeHour(CurTime())+":"+TimeMinute(CurTime())+" Symbol="+Symbol()+" Period="+Period());
         }
         CrossDown[i] = High[i] + Range*0.75;
      }
   }

   return(0);
}

Dependencies

TMA

This indicator calculates a weighted moving average by assigning progressively higher importance to recent price data, creating a balanced trend line that minimizes lagging while smoothing volatility.

TMA

Similar scripts

Stochastic_Cross_Alert_001

This indicator detects bullish and bearish trend shifts by identifying crossover points between the main and signal stochastic lines while providing real-time auditory, visual, and electronic notifications.

Stochastic_Cross_Alert

Identifies bullish and bearish reversals by detecting precise crossovers between the main and signal lines of a stochastic oscillator while plotting dynamic range-based arrows.

AIME_5820_Crossover_AlertNoMAs

This indicator identifies bullish and bearish momentum by detecting the intersection of a 5-period EMA (Price Close) and an 8-period EMA (Price Open), featuring automated visual markers and multi-channel notifications.

AO_AC_Cross_Alert_LimitaAMa_Sintetic

MA_Crossover_Email_Alert

This indicator detects trend reversals by monitoring momentum shifts between two customizable moving averages, triggering visual markers and automated notifications upon bullish or bearish crossovers.

AIME_5820_Crossover_Alert

This indicator identifies bullish and bearish entries by detecting dynamic crossovers between a 5-period EMA on closing prices and an 8-period EMA on opening prices, supplemented by a trend-filtering 20-period EMA.

Stochastic_Cross_Alert_v1

This indicator identifies bullish and bearish market shifts by detecting precise crossovers between the fast and slow stochastic components while calculating dynamic volatility-based arrow positioning.

MA_PriceCrossover_Email_Alert

This indicator identifies trend reversals by detecting price breaches of dual moving average envelopes, supporting SMA, EMA, SMMA, LWMA, and LSMA calculations across various price types.

#Stochastic_Cross_Alert_SigOverlayM_cw_001

This indicator identifies directional shifts by detecting K and D line intersections coupled with threshold breaches in overbought and oversold zones.

Stochastic_Cross_Alert_SigOverlayM_sw

This indicator identifies trend reversals and momentum shifts by detecting specific breaches of overbought/oversold thresholds and main-signal line intersections with integrated multi-channel alerts.

##Stochastic_CrossLevel_Alert

Comments