MurreyGannQuantum v2.1 MT5: Superior EA Integration Information – Buying and selling Methods – 28 August 2025

Introduction

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

Obtainable 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 (Robust Help)
• Buffer 1: Murrey 1/8 (Weak Help)
• Buffer 2: Murrey 2/8 (Help)
• Buffer 3: Murrey 3/8 (Weak Help)
• 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 (Robust Resistance)

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

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

Heart of Gravity System (Buffers 14-18):

• Buffer 14: CoG Heart Line (Principal Pattern Filter)
• Buffer 15: CoG Higher Calculated Band (Dynamic Resistance)
• Buffer 16: CoG Decrease Calculated Band (Dynamic Help)
• 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

// Examine for BUY alerts
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);

}
// Examine for SELL alerts
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 power 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 a minimum of 2 timeframe confirmations

}

3. Dynamic Help/Resistance Ranges

// Get dynamic assist/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. Heart of Gravity Pattern Evaluation

// Superior CoG pattern 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 pattern power

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 based mostly on Murrey ranges and sign power
if(isBuy)
{
stopLoss = ranges.support_medium;
takeProfit = ranges.resistance_medium;
// Alter based mostly on sign power
if(signalStrength > 0.8)
{
takeProfit = ranges.resistance_strong; // Larger goal for robust alerts
}
}
else
{
stopLoss = ranges.resistance_medium;
takeProfit = ranges.support_medium;
if(signalStrength > 0.8)
{
takeProfit = ranges.support_strong;
}
}
// Danger administration
double riskAmount = AccountInfoDouble(ACCOUNT_BALANCE) * riskPercent;
double lotSize = CalculateLotSize(MathAbs(entryPrice – stopLoss), riskAmount);
// Execute order
MqlTradeRequest request = {};
MqlTradeResult outcome = {};
request.motion = TRADE_ACTION_DEAL;
request.image = _Symbol;
request.quantity = lotSize;
request.kind = 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, outcome);
}
};

Efficiency Optimization Strategies

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]); } } };

Actual-World Efficiency Metrics

Backtesting Outcomes (EURUSD H1, 2023-2024):

• Complete Trades: 847
• Win Charge: 68.3%
• Revenue Issue: 1.67
• Max Drawdown: 12.4%
• Sharpe Ratio: 1.23
• Common Sign Power: 0.74

Key Efficiency Components:

1. Sign High quality: Larger sign power (>0.7) correlated with 23% increased win price
2. Multi-timeframe Affirmation: Decreased false alerts by 34%
3. CoG Pattern Filter: Improved revenue issue from 1.43 to 1.67
4. Dynamic SL/TP: Decreased most drawdown by 18%

Greatest Practices for EA Builders

1. Sign Validation Pipeline

bool ValidateSignal(double signalStrength, bool isBuy) { // Minimal power threshold if(signalStrength < 0.5) return false; // Market circumstances examine 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 offers a classy basis for algorithmic buying and selling techniques. Its 19-buffer structure, mixed with superior sign processing and MT5’s enhanced capabilities, allows the event of sturdy, high-performance EAs.

Key benefits for EA builders:

• Dependable Sign Era: Non-repainting alerts with quantified power
• Complete Market Evaluation: 19 analytical buffers protecting all market features
• 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 growing subtle buying and selling techniques that leverage the complete analytical energy of the MurreyGannQuantum methodology within the MT5 atmosphere.