Introduction
The MT5 model of MurreyGannQuantum v2.1 Skilled represents a whole 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 methods for EA builders.
Accessible on MQL5 Market:Â https://www.mql5.com/en/market/product/148253
Core Technical Specs
Buffer Structure (19 Buffers Whole)
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 Route) 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)
Middle of Gravity System (Buffers 14-18):
Buffer 14: CoG Middle Line (Important 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. Primary Sign Detection
// Test 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);
} // Test 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 power with validation double GetSignalStrength(bool isBuy, int shift = 0) power > 1.0) return 0.0;
return power;
// 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. 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 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 primarily based on Murrey ranges and sign power
if(isBuy)
{
stopLoss = ranges.support_medium;
takeProfit = ranges.resistance_medium;
// Modify primarily based on sign power
if(signalStrength > 0.8)
{
takeProfit = ranges.resistance_strong; // Larger 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 outcome = {};
request.motion = TRADE_ACTION_DEAL;
request.image = _Symbol;
request.quantity = lotSize;
request.sort = isBuy ? ORDER_TYPE_BUY : ORDER_TYPE_SELL;
request.value = 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]);
}
}
};
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 situations 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 programs. 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 power Complete Market Evaluation: 19 analytical buffers overlaying all market elements MT5 Optimized: Native MT5 structure for max efficiency Skilled Error Dealing with: Strong error administration and useful resource management Multi-Image Functionality: Environment friendly portfolio-wide sign scanning
The technical implementation examples offered provide a stable basis for creating refined buying and selling programs that leverage the total analytical energy of the MurreyGannQuantum methodology within the MT5 surroundings.
Technical Help: For superior integration questions and optimization methods, builders can seek the advice of the great buffer documentation included with the indicator package deal.
