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
Valutazioni
Progetti
1462
63%
Arbitraggio
21
57%
/
10%
In ritardo
43
3%
Gratuito
2
Valutazioni
Progetti
16
0%
Arbitraggio
8
13%
/
75%
In ritardo
3
19%
Gratuito
3
Valutazioni
Progetti
644
26%
Arbitraggio
92
72%
/
14%
In ritardo
12
2%
In elaborazione
Pubblicati: 1 codice
4
Valutazioni
Progetti
114
26%
Arbitraggio
7
29%
/
57%
In ritardo
5
4%
Gratuito
5
Valutazioni
Progetti
53
17%
Arbitraggio
7
0%
/
100%
In ritardo
5
9%
Gratuito
Ordini simili
I need an experienced TradingView Pine Script developer to build and test a custom intraday strategy for NQ/MNQ . I am not looking for a conversion . I need the strategy researched, developed, tested, and optimized based on my requirements. Requirements: NQ/MNQ intraday trading 5–15 minute charts New York session only Flat before market close Base logic using Zero Lag Signals , with additional filters if justified
Le robot devra : Respecter strictement les règles de risque des comptes FTMO : perte journalière maximale, perte maximale totale, taille des positions, etc. Intégrer un système de gestion du risque automatique. Être capable de gérer différents types de comptes et tailles de capital. Être basé sur ma stratégie et mes règles de trading que je fournirai au développeur. Être entièrement automatisé pour l’exécution des
I am looking for an experienced MQL5 developer to build a professional MT5 Expert Advisor specifically for XAUUSD (Gold) and other indices. I saw that XAUUSD is one of your primary areas of specialization, so I would like to discuss a custom EA with you. My priority is NOT extremely high returns. I want a robust EA designed for controlled risk and long-term survival. Requirements: • MT5 / MQL5 • XAUUSD, usoil,btc and
VENOM EA
35 - 50 USD
So, im a beginner and I'm pleading you to built me a bot that runs 24hrs and that can buy and sell at the same time, choose a better and profitable strategy. I will do anything thing it takes to get the bot. I hope you take my request into consideration
Je cherche un développeur MQL4 / MQL5 expérimenté pour créer un robot de trading automatique (Expert Advisor) performant et sécurisé. Validation de comptes Prop Firm capable de trader sur le forex et les matière première
XAUUSD Digger
50 - 300 USD
I want you to create a strategy that fits for my funded account conditions like winrate of 60%+ with good risk reward ratio min 1:2 and max drawdown per day is 2% or 3% and overall should be less then 10% with less consecutive losses should be able to finish the funded stage in of phase 1 8% target and phase 2 of 10% target in a month with good number of trades in a month need journal of all the back tested data and
RSI-Based Forex Trading EA (MetaTrader 5)
30 - 200 USD
I need a simple Expert Advisor for MT5 that trades based on RSI overbought/oversold levels. - Entry: Buy when RSI(14) < 30, Sell when RSI(14) > 70 - Exit: Take Profit and Stop Loss as adjustable input parameters (default 50/25 pips) - Position sizing: Risk 1% of account balance per trade, auto-calculated from stop-loss distance - Timeframe and currency pair: adjustable inputs, not hardcoded - Should include basic
1. Trading Instruments: - The robot should trade exclusively on the following currency pairs: - NZD/CHF - NZD/USD - GBP/USD 2. Trading Style: - The robot should implement a day trading strategy, focusing on short-term trades. 3. Risk Management: - Maximum drawdown percentage: 10%. - Stop loss settings: Adjustable based on volatility (suggested default: 30 pips). - Take profit settings: Adjustable
I have an existing working MQL5 Expert Advisor and require an experienced MQL5 programmer/trading-system analyst to independently analyse its historical performance. This is NOT initially a request to rewrite the EA or simply optimize parameters. Current strategy: - MetaTrader 5 - M15 timeframe - EMA / ADX / ATR based - Approximately 1,337 historical trades - Gross Profit approximately USD 271,000 - Gross Loss
Gold robot
30 - 1000 USD
Hello everyone, I’m looking for a developer who has an algorithm in their arsenal that generates quick profits over the long term. I’m interested in a scalping expert advisor—it can be a one-shot, averaging, or grid strategy, with or without TP/SL. Please share your ideas and results; I’ll consider all options. The most important thing is the result. Good luck
Informazioni sul progetto
Budget
30+ USD