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 need an MT4/MT5 EA modification. Requirements: 1. Equity protection based on DAILY and TOTAL drawdown 2. Automatically close all trades when limit is hit 3. Disable trading after drawdown hit 4. Email notification when: - Daily loss limit reached - Total loss limit reached 5. EA must work on multiple accounts simultaneously 6. Clean and error-free code 7. Compatible with MT5 (or MT4 mention yours)
If you have profitable strategy or profitable EA on the gold pair without martingale / Hedge, then share me the EA with expiry time to back test and to test on the live market. Platform: MT5 pair: Gold Non-Martingale, No Hedging
I have a working Python backtester for my “DC-WAD Donchian” strategy. I need a MetaTrader 5 Expert Advisor (MQL5) for live trading that matches the Python logic as closely as possible ( no lookahead ). ✅ Critical requirement (must accept) EA must be tick-driven for entries/exits (touch logic). Bar-close approximation is not acceptable . Timeframes Strategy runs on a single Setup Timeframe (HTF) (user input, e.g
This indicator will code into MT5 EA. Trade on live, demo and strategy tester. No repaint, no redraw and stable on chart. 1. Include all inputs variable and value, Lots size in points adjustable, TP in points true or false adjustable, SL in points true or false adjustable, close position on opposite signal true or false, Use pending order true or false, use BE points true or false, use slippage point true or false
can you help me with the strategy for my mt4 or mt5 bot? I am learning trading, while working and I was thinking this could be a good way to still earn from the market while learning. If I have someone like you to guide me on strategy and maintaining the trading bot going forward. I do not have anything setup, I am going to pay a ten to build the EA, I just need the mentorship and we can agree on a unique price to
Good day, I am searching the very high level expert, which could create the auto-trade robot and I would like to order the trading robot for GOLD XAU/USD auto-trade on MetaTrader. I could pay a lot for the institutional grade auto-trade robot, just contact me and let me know what level of the robot you could offer and we will negotiate the price
Looking to purchase a EA for Gold and US30 with source Requirements: must have proper built in Risk Management Must yield good profit factor and recovery Factor Must work on any Broker Must have less than 15% drawdown Year over Year Z-Score should be high Consecutive Profits Must Outweigh Consecutive losses atleast 3/1 Must be able to work on accounts from 100USD and up Testing must be based off of real Tick Values
I’m looking for a NinjaTrader 8 developer to build or customize a fully automated futures strategy . Goals: Target ~$100/day (consistency over aggression) Long-term survivability (not scalping hype) Requirements: Trade ES/MES or NQ/MNQ Fixed risk per trade Daily profit & loss limits Time/session filters Break-even & trailing stop logic Full NT8 strategy (not indicator) Nice to have: Backtest + optimization
Je cherche un développeur pour un bot Fundednext pour le passage de challenge jusqu'au trading quotidien après le passage.le robot va s'occuper du compte du début à la suite du compte de 15k chez Fundednext.après le passage aux challenges,le robot doit être capable de me fournir 6-10% mensuel de rendement de ce compte. Il doit être capable de passer le challenge dans un bref délai de 2-3 semaine ou soit 10-15 jours
🧠 Project Overview We require an automated trading system that performs statistical arbitrage between: XAGUSD (MT5 account) MCX Silver (separate broker / API / account) The bot will calculate custom percentage movement from a daily anchor time and trade based on spread convergence, not broker-provided percentage values. --- 🧩 Core Concept The system must: 1. Capture daily anchor prices at 11:30 PM IST 2. Compute

Informazioni sul progetto

Budget
30+ USD