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MurreyGannQuantum v2.1 MT5: Advanced EA Integration Guide – Trading Strategies – 28 August 2025

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MurreyGannQuantum v2.1 MT5: Advanced EA Integration Guide – Trading Strategies – 28 August 2025

by Investor News Today
August 28, 2025
in Investing
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MurreyGannQuantum v2.1 MT5: Advanced EA Integration Guide – Trading Strategies – 28 August 2025
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MurreyGannQuantum v2.1 MT5: Superior EA Integration Information

Introduction

The MT5 model of MurreyGannQuantum v2.1 Skilled represents an entire architectural improve from its MT4 predecessor, particularly designed for strong Professional Advisor integration. This technical information covers the implementation particulars, buffer construction, and superior integration strategies for EA builders.

Out there on MQL5 Market: https://www.mql5.com/en/market/product/148253

Core Technical Specs

Buffer Structure (19 Buffers Complete)

The indicator implements a complete 19-buffer system optimized for MT5’s structure:

Murrey Math Ranges (Buffers 0-8):

  • Buffer 0: Murrey 0/8 (Sturdy Assist)
  • Buffer 1: Murrey 1/8 (Weak Assist)
  • Buffer 2: Murrey 2/8 (Assist)
  • Buffer 3: Murrey 3/8 (Weak Assist)
  • Buffer 4: Murrey 4/8 (Pivot/Center)
  • Buffer 5: Murrey 5/8 (Weak Resistance)
    • Buffer 6: Murrey 6/8 (Resistance)
  • Buffer 7: Murrey 7/8 (Weak Resistance)
  • Buffer 8: Murrey 8/8 (Sturdy Resistance)

Buying and selling System Buffers (Buffers 9-13):

  • Buffer 9: Gann Angle 1×1 (Pattern Path)
  • Buffer 10: Purchase Arrow Alerts (Visible Solely)
  • Buffer 11: Promote Arrow Alerts (Visible Solely)
  • Buffer 12: EA Purchase Buffer (Sign Power 0.0-1.0)
  • Buffer 13: EA Promote Buffer (Sign Power 0.0-1.0)

Middle of Gravity System (Buffers 14-18):

  • Buffer 14: CoG Middle Line (Predominant Pattern Filter)
  • Buffer 15: CoG Higher Calculated Band (Dynamic Resistance)
  • Buffer 16: CoG Decrease Calculated Band (Dynamic Assist)
  • Buffer 17: CoG Higher Commonplace Deviation Band (Volatility Higher)
  • Buffer 18: CoG Decrease Commonplace Deviation Band (Volatility Decrease)

EA Integration: Technical Implementation

1. Fundamental Sign Detection

// Verify for BUY indicators
bool CheckBuySignal()
{

double buySignal[];

ArraySetAsSeries(buySignal, true);

int copied = CopyBuffer(iCustom(_Symbol, PERIOD_CURRENT, “MurreyGannQuantum”), 12, 0, 1, buySignal);

return (copied > 0 && buySignal[0] > 0.0);

}
// Verify for SELL indicators
bool CheckSellSignal()
{

double sellSignal[];

ArraySetAsSeries(sellSignal, true);

int copied = CopyBuffer(iCustom(_Symbol, PERIOD_CURRENT, “MurreyGannQuantum”), 13, 0, 1, sellSignal);

return (copied > 0 && sellSignal[0] > 0.0);

}

2. Superior Sign Power Evaluation

// Get sign energy with validation
double GetSignalStrength(bool isBuy, int shift = 0)

// Multi-timeframe sign affirmation
bool IsMultiTimeframeSignal(bool isBuy)
{

ENUM_TIMEFRAMES timeframes[] = {PERIOD_M15, PERIOD_H1, PERIOD_H4};

int confirmations = 0;

for(int i = 0; i < ArraySize(timeframes); i++)

{

double sign[];

ArraySetAsSeries(sign, true);

int bufferIndex = isBuy ? 12 : 13;

int copied = CopyBuffer(iCustom(_Symbol, timeframes[i], “MurreyGannQuantum”), bufferIndex, 0, 1, sign);

if(copied > 0 && sign[0] > 0.5)

{

confirmations++;

}

}

return (confirmations >= 2); // Require not less than 2 timeframe confirmations

}

3. Dynamic Assist/Resistance Ranges

// Get dynamic help/resistance from Murrey ranges
struct MurreyLevels
{

double support_strong; // 0/8

double support_medium; // 2/8

double pivot; // 4/8

double resistance_medium; // 6/8

double resistance_strong; // 8/8

};

MurreyLevels GetMurreyLevels()
{

MurreyLevels ranges = {};

double buffer[];

ArraySetAsSeries(buffer, true);

// Get all Murrey ranges

for(int i = 0; i <= 8; i += 2)

{

int copied = CopyBuffer(iCustom(_Symbol, PERIOD_CURRENT, “MurreyGannQuantum”), i, 0, 1, buffer);

if(copied > 0)

{

swap(i)

{

case 0: ranges.support_strong = buffer[0]; break;

case 2: ranges.support_medium = buffer[0]; break;

case 4: ranges.pivot = buffer[0]; break;

case 6: ranges.resistance_medium = buffer[0]; break;

case 8: ranges.resistance_strong = buffer[0]; break;

}

}

}

return ranges;

}

4. Middle of Gravity Pattern Evaluation

// Superior CoG development evaluation
enum ENUM_COG_TREND
{

COG_TREND_STRONG_BULL,

COG_TREND_WEAK_BULL,

COG_TREND_NEUTRAL,

COG_TREND_WEAK_BEAR,

COG_TREND_STRONG_BEAR

};
ENUM_COG_TREND GetCogTrend()
{

double cogCenter[], cogUpper[], cogLower[];

ArraySetAsSeries(cogCenter, true);

ArraySetAsSeries(cogUpper, true);

ArraySetAsSeries(cogLower, true);

// Get CoG values

int copied1 = CopyBuffer(iCustom(_Symbol, PERIOD_CURRENT, “MurreyGannQuantum”), 14, 0, 3, cogCenter);

int copied2 = CopyBuffer(iCustom(_Symbol, PERIOD_CURRENT, “MurreyGannQuantum”), 15, 0, 1, cogUpper);

int copied3 = CopyBuffer(iCustom(_Symbol, PERIOD_CURRENT, “MurreyGannQuantum”), 16, 0, 1, cogLower);

if(copied1 < 3 || copied2 <= 0 || copied3 <= 0) return COG_TREND_NEUTRAL;

double currentPrice = SymbolInfoDouble(_Symbol, SYMBOL_BID);

double cogSlope = cogCenter[0] – cogCenter[2]; // 3-bar slope

double bandWidth = cogUpper[0] – cogLower[0];

double pricePosition = (currentPrice – cogLower[0]) / bandWidth;

// Decide development energy

if(cogSlope > bandWidth * 0.1)

{

return (pricePosition > 0.7) ? COG_TREND_STRONG_BULL : COG_TREND_WEAK_BULL;

}

else if(cogSlope < -bandWidth * 0.1)

{

return (pricePosition < 0.3) ? COG_TREND_STRONG_BEAR : COG_TREND_WEAK_BEAR;

}
return COG_TREND_NEUTRAL;

}

Superior Buying and selling Technique Implementation

Skilled Entry System

class MurreyGannEA
{

personal:

int indicatorHandle;

double minSignalStrength;

double riskPercent;

public:

MurreyGannEA()

{

indicatorHandle = iCustom(_Symbol, PERIOD_CURRENT, “MurreyGannQuantum”);

minSignalStrength = 0.6; riskPercent = 0.02;

}

void ProcessSignals()

{

// Multi-layer sign validation

if(IsValidTradingTime() && HasSufficientVolatility())

{

double buyStrength = GetSignalStrength(true);

double sellStrength = GetSignalStrength(false);

if(buyStrength >= minSignalStrength)

{

if(ValidateEntryConditions(true))

{

ExecuteTrade(true, buyStrength);

}

}

if(sellStrength >= minSignalStrength)

{

if(ValidateEntryConditions(false))

{

ExecuteTrade(false, sellStrength);

}

}

}

}

personal:

bool ValidateEntryConditions(bool isBuy)

void ExecuteTrade(bool isBuy, double signalStrength)

{

MurreyLevels ranges = GetMurreyLevels();

double entryPrice = SymbolInfoDouble(_Symbol, isBuy ? SYMBOL_ASK : SYMBOL_BID);

double stopLoss, takeProfit;

// Dynamic SL/TP primarily based on Murrey ranges and sign energy

if(isBuy)

{

stopLoss = ranges.support_medium;

takeProfit = ranges.resistance_medium;

// Alter primarily based on sign energy

if(signalStrength > 0.8)

{

takeProfit = ranges.resistance_strong; // Increased goal for sturdy indicators

}

}

else

{

stopLoss = ranges.resistance_medium;

takeProfit = ranges.support_medium;

if(signalStrength > 0.8)

{

takeProfit = ranges.support_strong;

}

}

// Threat administration

double riskAmount = AccountInfoDouble(ACCOUNT_BALANCE) * riskPercent;

double lotSize = CalculateLotSize(MathAbs(entryPrice – stopLoss), riskAmount);

// Execute order

MqlTradeRequest request = {};

MqlTradeResult end result = {};

request.motion = TRADE_ACTION_DEAL;

request.image = _Symbol;

request.quantity = lotSize;

request.sort = isBuy ? ORDER_TYPE_BUY : ORDER_TYPE_SELL;

request.worth = entryPrice;

request.sl = stopLoss;

request.tp = takeProfit;

request.deviation = 3;

request.magic = 12345;

request.remark = “MGQ v2.1 – Power: ” + DoubleToString(signalStrength, 2);

OrderSend(request, end result);

}

};

Efficiency Optimization Methods

1. Environment friendly Buffer Administration

// Optimize buffer copying for high-frequency EAs
class BufferManager
{

personal:

double buyBuffer[100];

double sellBuffer[100];

datetime lastUpdate;

public:

void UpdateBuffers()

{

datetime currentTime = TimeCurrent();

if(currentTime > lastUpdate + 1)

{

// Replace each second max

ArraySetAsSeries(buyBuffer, true);

ArraySetAsSeries(sellBuffer, true);

CopyBuffer(iCustom(_Symbol, PERIOD_CURRENT, “MurreyGannQuantum”), 12, 0, 100, buyBuffer);

CopyBuffer(iCustom(_Symbol, PERIOD_CURRENT, “MurreyGannQuantum”), 13, 0, 100, sellBuffer);

lastUpdate = currentTime;

}

}

double GetBuySignal(int shift = 0)

{

return (shift < 100) ? buyBuffer[shift] : 0.0;

}

double GetSellSignal(int shift = 0)

{

return (shift < 100) ? sellBuffer[shift] : 0.0;

}

};

2. Multi-Image Implementation

// Handle a number of symbols effectively
class MultiSymbolManager
{

personal:

struct SymbolData

{

string image;

int indicatorHandle;

datetime lastSignalTime;

};

SymbolData symbols[];

public:

void Initialize(string &symbolList[])

{

ArrayResize(symbols, ArraySize(symbolList));

for(int i = 0; i < ArraySize(symbolList); i++)

{

symbols[i].image = symbolList[i];

symbols[i].indicatorHandle = iCustom(symbolList[i], PERIOD_CURRENT, “MurreyGannQuantum”); symbols[i].lastSignalTime = 0;

}

}

void ScanForSignals()

{

for(int i = 0; i < ArraySize(symbols); i++)

{

if(symbols[i].indicatorHandle != INVALID_HANDLE)

{

ProcessSymbolSignals(symbols[i]);

}

}

}

personal:

void ProcessSymbolSignals(SymbolData &symData)

{

double buySignal[], sellSignal[];

ArraySetAsSeries(buySignal, true);

ArraySetAsSeries(sellSignal, true);

int copied1 = CopyBuffer(symData.indicatorHandle, 12, 0, 1, buySignal);

int copied2 = CopyBuffer(symData.indicatorHandle, 13, 0, 1, sellSignal);

if(copied1 > 0 && buySignal[0] > 0.6)

{

ProcessSignal(symData.image, true, buySignal[0]);

}

if(copied2 > 0 && sellSignal[0] > 0.6)

{

ProcessSignal(symData.image, false, sellSignal[0]);

}

}

};

    Greatest Practices for EA Builders

    1. Sign Validation Pipeline

    bool ValidateSignal(double signalStrength, bool isBuy)
    {

    // Minimal energy threshold

    if(signalStrength < 0.5) return false;

    // Market situations test

    if(!IsValidMarketCondition()) return false;

    // Pattern alignment

    if(!IsTrendAligned(isBuy)) return false;

    // Time-based filters

    if(!IsValidTradingHour()) return false;

    return true;

    }

    2. Error Dealing with

    class SafeBufferReader
    {

    public:

    static double GetBufferValue(int deal with, int bufferIndex, int shift)

    {

    double buffer[];

    ArraySetAsSeries(buffer, true);

    int copied = CopyBuffer(deal with, bufferIndex, shift, 1, buffer);

    if(copied <= 0)

    {

    Print(“Buffer learn error: “, GetLastError());

    return EMPTY_VALUE;

    }

    return buffer[0];

    }

    };

    3. Useful resource Administration

    class ResourceManager
    {

    personal:

    int handles[];

    public:

    ~ResourceManager()

    {

    for(int i = 0; i < ArraySize(handles); i++)

    {

    if(handles[i] != INVALID_HANDLE)

    {

    IndicatorRelease(handles[i]);

    }

    }

    }

    };

    Conclusion

    The MurreyGannQuantum v2.1 MT5 model supplies a complicated basis for algorithmic buying and selling techniques. Its 19-buffer structure, mixed with superior sign processing and MT5’s enhanced capabilities, permits the event of strong, high-performance EAs.

    Key benefits for EA builders:

    • Dependable Sign Technology: Non-repainting indicators with quantified energy
    • Complete Market Evaluation: 19 analytical buffers overlaying all market facets
    • MT5 Optimized: Native MT5 structure for optimum efficiency
    • Skilled Error Dealing with: Sturdy error administration and useful resource management
    • Multi-Image Functionality: Environment friendly portfolio-wide sign scanning

    The technical implementation examples offered provide a strong basis for creating refined buying and selling techniques that leverage the complete analytical energy of the MurreyGannQuantum methodology within the MT5 setting.

    Technical Assist: For superior integration questions and optimization strategies, builders can seek the advice of the excellent buffer documentation included with the indicator package deal.



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