Squeeze Momentum Indicator [LazyBear]

MQL5 Esperti

Lavoro terminato

Tempo di esecuzione 31 minuti
Feedback del dipendente
Very thanks for order! Please let me know if you need programmer!
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

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
644
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 an experienced MQL5 developer to create a Opening Range Breakout EA. The EA should identify the high and low of a configurable trading session and open trades when price breaks out of this range. It should include configurable Stop Loss, Take Profit, fixed lot size, break-even option and trading hours. Full mq5 required
Matosfx 30 USD
Am called martin sselubiri I need a robot for trading forex and stock and I want know how this robot works and how much it costs for me to use it
My MQL5 Expert Advisor wins most trades with small profits, then suddenly takes one large loss that wipes out weeks of gains. This is the "picking up pennies in front of a steamroller" pattern. Required fix: Find the exact cause of the large losses in the code. Cap the loss on every trade with a fixed stop loss (no martingale or averaging down). Stop trading in dangerous conditions (high volatility, strong trends
AI Forex Trading Bot for MT4 and MT5 I need an advanced Forex trading robot (Expert Advisor) that works on both MetaTrader 4 and MetaTrader 5. The robot should automatically analyse the Forex market, identify BUY and SELL opportunities, and execute trades when the trading conditions are met. It should support GBPUSD, EURUSD, USDJPY and GBPJPY. The robot should use EMA, RSI, MACD, price action and trend analysis
Name: SteelEdge Platform: MetaTrader 5 (MQL5) Expert Advisor Instruments: XAUUSD, EURUSD, US30 Timeframe: H1 (inputs to change it) STRATEGY - Trend filter: buy only when price is above the 200 EMA, sell only when below - Entry: price pulls back to the 50 EMA and a bullish (buy) or bearish (sell) engulfing candle closes - Confirmation: RSI(14) above 50 for buys, below 50 for sells - Stop loss: 1.5 x ATR(14) - Take
I need an existing mt5 expert advisor that can been in trading for more than 12 months. The PF of the ea should not be less than 2.0 and be in profit in the last four months with average profit of not less than 20% per month. The Maximum drawdown should be less than 20% and Max deposit load less than 10%. Such ea should be able to trade with less than or equal to $300. Whats needed is .ex5 and source file is also
Ready to use MT5 bot 99 - 6990 USD
seller must provide the following to be considered... i will answer to all who fit this description, and can purchase more than 1 EA... - brief strategy description - overall EA expectancy - 1 week limited trial version, with whatever settings you consider best
I am a trader looking to acquire an existing, stable, and consistently profitable Expert Advisor (EA) specifically designed primarily for Gold (XAUUSD). This is an outright purchase. I am not interested in developing a new EA from scratch. I am only interested in ready-to-use systems with a genuine, verifiable track record of performance
Aziz Toure 50 - 400 USD
I am an independent trader and entrepreneur based in Côte d’Ivoire. I work in financial markets, analyze trading opportunities, and provide digital financial services. I am also interested in international trade, online business, and developing long-term business activities
SMC Bot Creation 350 - 550 USD
Hello, I am interested in developing a professional MT5 Expert Advisor similar in functionality and technical sophistication to your reference product, Institutional SMC Robot: https://www.mql5.com/en/market/product/187011 I want to develop my own independent EA based on advanced Smart Money Concepts (SMC), with a strong focus on institutional price action, liquidity and market structure. The key functionalities I

Informazioni sul progetto

Budget
30+ USD