Squeeze Momentum Indicator [LazyBear]

MQL5 Esperti

Lavoro terminato

Tempo di esecuzione 31 minuti
Feedback del cliente
absolutely brilliant everything i ask for and more, and all done within a couple of hours. I would use again without hesitation
Feedback del dipendente
Very thanks for order! Please let me know if you need programmer!

Specifiche

I would like someone who could change this indicator onto an expert adviser.

i want it to buy when the red histogram changes to green and see when green changes to red. i know that this is not a great strategy but i can add other indicators later.

I want the mql5 an ex5 files please

//+------------------------------------------------------------------+
//|                                     SqueezeMomentumIndicator.mq5 |
//|                                Copyright 2020, Andrei Novichkov. |
//|                                               http://fxstill.com |
//+------------------------------------------------------------------+
#property copyright "Copyright 2020, Andrei Novichkov."
#property description "Translate from Pine: Squeeze Momentum Indicator [LazyBear]"
/*********************************************************************************************************
This is a derivative of John Carter's 
"TTM Squeeze" volatility indicator, as discussed in his book "Mastering the Trade" (chapter 11).

Black crosses on the midline show that the market just entered a squeeze 
( Bollinger Bands are with in Keltner Channel).
This signifies low volatility , market preparing itself for an explosive move (up or down).
Gray crosses signify "Squeeze release".

Mr.Carter suggests waiting till the first gray after a black cross, and taking a position in the 
direction of the momentum (for ex., if momentum value is above zero, go long).
Exit the position when the momentum changes (increase or decrease - signified by a color change).

Mr.Carter uses simple momentum indicator , while I have used a different method (linreg based)
to plot the histogram.

More info:
- Book: Mastering The Trade by John F Carter 
*********************************************************************************************************/
#property link      "http://fxstill.com"
#property version   "1.00"


#property indicator_separate_window

#property indicator_buffers 5
#property indicator_plots   2

#property indicator_label1  "SqueezeMomentum"
#property indicator_type1   DRAW_COLOR_HISTOGRAM
#property indicator_color1  clrLimeGreen, clrGreen, clrRed, clrMaroon
#property indicator_style1  STYLE_SOLID
#property indicator_width1  3

#property indicator_label2  "SqueezeMomentumLine"
#property indicator_type2   DRAW_COLOR_LINE
#property indicator_color2  clrDodgerBlue, clrBlack, clrGray
#property indicator_style2  STYLE_SOLID
#property indicator_width2  5

//--- input parameters
input int      lengthBB                 = 20;          // Bollinger Bands Period
input double   multBB                   = 2.0;         // Bollinger Bands MultFactor
input int      lengthKC                 = 20;          // Keltner Channel Period
input double   multKC                   = 1.5;         // Keltner Channel MultFactor
input ENUM_APPLIED_PRICE  applied_price = PRICE_CLOSE; // type of price or handle 


double iB[], iC[], lB[], lC[];
double srce[];
int kc, bb;

static int MINBAR = MathMax(lengthBB, lengthKC) + 1;
//+------------------------------------------------------------------+
//| Custom indicator initialization function                         |
//+------------------------------------------------------------------+
int OnInit() {

   SetIndexBuffer(0, iB,    INDICATOR_DATA);
   SetIndexBuffer(1, iC,    INDICATOR_COLOR_INDEX);
   SetIndexBuffer(2, lB,    INDICATOR_DATA);
   SetIndexBuffer(3, lC,    INDICATOR_COLOR_INDEX);   
   SetIndexBuffer(4, srce,  INDICATOR_CALCULATIONS);
   
   ArraySetAsSeries(iB,    true);
   ArraySetAsSeries(iC,    true);
   ArraySetAsSeries(srce,   true);
   ArraySetAsSeries(lB, true);
   ArraySetAsSeries(lC,   true);   

   IndicatorSetString(INDICATOR_SHORTNAME,"SQZMOM");
   IndicatorSetInteger(INDICATOR_DIGITS,_Digits);
   
   kc = iCustom(NULL, 0, "KeltnerChannel", lengthKC, multKC, false, MODE_SMA, applied_price);
   if (kc == INVALID_HANDLE) {
      Print("Error while open KeltnerChannel");
      return(INIT_FAILED);
   }   
   bb = iBands(NULL, 0, lengthBB, 0, multBB, applied_price);
   if (bb == INVALID_HANDLE) {
      Print("Error while open BollingerBands");
      return(INIT_FAILED);
   }      
   return(INIT_SUCCEEDED);
}
  
void OnDeinit(const int reason) {

   IndicatorRelease(kc);
   IndicatorRelease(bb);     
}

void GetValue(const double& h[], const double& l[], const double& c[], int shift) {
   
   double bbt[1], bbb[1], kct[1], kcb[1];
   if (CopyBuffer(bb, 1,  shift, 1, bbt) <= 0) return;
   if (CopyBuffer(bb, 2,  shift, 1, bbb) <= 0) return;
   if (CopyBuffer(kc, 0,  shift, 1, kct) <= 0) return; 
   if (CopyBuffer(kc, 2,  shift, 1, kcb) <= 0) return; 
  
   bool sqzOn  = (bbb[0] > kcb[0]) && (bbt[0] < kct[0]);
   bool sqzOff = (bbb[0] < kcb[0]) && (bbt[0] > kct[0]);
   bool noSqz  = (sqzOn == false)  && (sqzOff == false); 
   
   int indh = iHighest(NULL, 0, MODE_HIGH, lengthKC, shift); 
   if (indh == -1) return;
   int indl = iLowest(NULL, 0, MODE_LOW, lengthKC, shift);
   if (indl == -1) return;       
   double avg = (h[indh] + l[indl]) / 2;
          avg = (avg + (kct[0] + kcb[0]) / 2) / 2;
   srce[shift] = c[shift] - avg; 
     
   double error;
   iB[shift] = LinearRegression(srce, lengthKC, shift, error);
   
   if (iB[shift] > 0){
      if(iB[shift] < iB[shift + 1]) iC[shift] = 1;
   } else {
      if(iB[shift] < iB[shift + 1]) iC[shift] = 2;
      else iC[shift] = 3;
   }
   
   if (!noSqz) {
      lC[shift] = (sqzOn)? 1: 2;
   }
}

double LinearRegression(const double& array[], int period, int shift, double& error) {
  
   double sx = 0, sy = 0, sxy = 0, sxx = 0, syy = 0, y = 0;
   
   int param = (ArrayIsSeries(array) )? -1: 1;
   
   for (int x = 0; x < period; x++) {
      y    = array[shift + param * x];
      sx  += x;
      sy  += y;
      sxx += x * x;
      sxy += x * y;
      syy += y * y;
   }//for (int x = 1; x <= period; x++)
               
   double slope = (period * sxy - sx * sy) / (sx * sx - period * sxx);
   double intercept = (sy - slope * sx) / period;
   error = MathSqrt((period * syy - sy * sy - slope * slope * (period * sxx - sx*sx)) / 
                    (period * (period - 2)) );
                    
   return intercept + slope * period;
}//double LinearRegression(const double& array[], int shift)

//+------------------------------------------------------------------+
//| 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(rates_total <= 4) return 0;
      ArraySetAsSeries(close,true);    
      ArraySetAsSeries(high,true); 
      ArraySetAsSeries(low,true); 
      int limit = rates_total - prev_calculated;
      if (limit == 0)        {   //A new tick has come
      } else if (limit == 1) {   // A new bar is formed
         GetValue(high, low, close, 1);      
      } else if (limit > 1)  {   // The first call of the indicator, changing the timeframe, loading data from history
         ArrayInitialize(iB,    EMPTY_VALUE);
         ArrayInitialize(iC,    0);
         ArrayInitialize(lB,    0);
         ArrayInitialize(lC,    0);         
         ArrayInitialize(srce,  0);
         limit = rates_total - MINBAR;
         for(int i = limit; i >= 1 && !IsStopped(); i--){
            GetValue(high, low, close, i);
         }//for(int i = limit + 1; i >= 0 && !IsStopped(); i--)
         return(rates_total);         
      }
//      GetValue(high, low, close, 0);          
   return(rates_total);
  
  
}
//+------------------------------------------------------------------+


Con risposta

1
Sviluppatore 1
Valutazioni
(1156)
Progetti
1462
63%
Arbitraggio
21
57% / 10%
In ritardo
43
3%
Gratuito
2
Sviluppatore 2
Valutazioni
(8)
Progetti
16
0%
Arbitraggio
8
13% / 75%
In ritardo
3
19%
Gratuito
3
Sviluppatore 3
Valutazioni
(361)
Progetti
643
26%
Arbitraggio
92
72% / 14%
In ritardo
12
2%
In elaborazione
Pubblicati: 1 codice
4
Sviluppatore 4
Valutazioni
(87)
Progetti
114
26%
Arbitraggio
7
29% / 57%
In ritardo
5
4%
Gratuito
5
Sviluppatore 5
Valutazioni
(54)
Progetti
53
17%
Arbitraggio
7
0% / 100%
In ritardo
5
9%
Gratuito
Ordini simili
I’m looking for developer to build an AI-assisted trading system for Metatader 5 . You to deliver, working MT5 module, AI module (Python or compatible), source codes for both This phase is focused strictly on core logic and AI integration , not UI or dashboards. Kindly reach out only if you have experience on AI integration and prove of past work
​ Description: I am looking for a professional MQL4 developer/quant trader with a proven track record in EA optimization. This project involves optimizing a third-party EA that currently has a 2-year live track record. ​ The Task: ​ In-Sample Optimization: Optimize the EA parameters using historical data prior to January 1, 2024. ​ Out-of-Sample (Walk-Forward): Validate the optimized settings against the period of
Trade settings: --------------------------------- fixed lot size ….. 0.0 Buy /Sell distance market order…. 0.0 - 700.0 points Buy / Sell distance pending order Entry---- 0.0 - 700.0 points Max Trade------ 10.0 Min spread...… 0.0 points Max spread..... 3000.0 points Daily profit percentage ….. 0.0 - 100 % Global Stoploss Percentage----- 0.0 - 100 % Max Daily loss Percentage ------0.0 - 100 % Stop level = 0.0 point
📌 General 🔸 Pair: XAUUSD (Gold) 🔸 Timeframe: M1 only 🔸 Strategy: Funded account ❌ No over-trading 📊 Trade Frequency Rules 🔹 One win OR one loss per day only 🔹 If trade goes Break-Even, another trades allowed same day 🔹 If trade hits TP or SL, trading must stop for that day 🔹 Only one active trade at a time 💰 Risk & Reward 🔹 Risk per trade: 1% 🔹 Risk–Reward (RR): 1:3 🔹 Break-Even rule: At 1:1 RR SL must
Hi , I have some indicators that I want set up on my TV chart and want to create one chart for some and another chart for some others. Plus I want to set up the brackets orders so I can trade from the chart. I have these set up somewhat but need it cleaned up and the way I want them. how much would something like this cost to do? I'm in California and would like you to show me so I can learn to do this when I want to
i need EA EMA 5 to EMA 7 Cross over and in case of loss for martingale add 1 to 20 numbers we put next lots of martaingle manually not auto martaing add account no in hidden only which account only works add date of expiry in inside code add EA runinging time there is other option add on off swithch that if buy order loss than martaingle works only for recovery buy order, if sell order loss martingale works for only
Title: Creation of an EA by Breakout Fractal (without Martingale/Grille) Description: I am looking for a developer to create an Expert Advisor based on the highest and lowest (Fractals). Entry: Place Buy Stop and Sell Stop commands on the last formed peaks/hollows. Risk management: Strictly no Martingale or Grille system. Each trade must have a fixed stop loss. Features: Trailing Stop and Breakeven option. Platform
I already have programmed in MT5 EA, but I want to unfilter bad trades using Ai, about details I will tell and discuss with selected programmers, I have some ideas, prototypes, but I am open for your solutions too. I tested some time and it had possitive effects
Apply with a keen sense of responsibility . Copy the code . Both of my expert has sufficient materials . Its a simple winning strategy , therefore please be ahead of time . Code BLUE . Changing The Strategy According to what i think is correct
I would love to see most of my trades going well being in profits! & keep consistent trading without having to blow any accounts be able to identify right trades and have good trading strategy

Informazioni sul progetto

Budget
30+ USD