Zenith-FX/FOREX_TRADER/Include/QuantumAnalysis.mqh

//+------------------------------------------------------------------+
//|                                           QuantumAnalysis.mqh    |
//|                      Quantum Market State Analysis               |
//|           Based on Quantum Phase Estimation (QPE) Theory         |
//+------------------------------------------------------------------+
#property copyright "ForexTrader Quantum EA"
#property link      "https://github.com/simonokwundue-ops/Experienced-FX-Trader"
#property version   "1.00"
#property strict

//+------------------------------------------------------------------+
//| Quantum Market State Structure                                    |
//+------------------------------------------------------------------+
struct QuantumMarketState
{
   double probabilityMatrix[10];  // Probability distribution for next 10 candles
   double trendConfidence;         // Overall trend confidence
   int dominantTrend;              // 1=Bull, -1=Bear, 0=Neutral
   double quantumEntropy;          // Market uncertainty measure
   string stateDescription;        // Human-readable state
   bool isStrongTrend;            // Strong trend indicator
   datetime analysisTime;          // Time of analysis
};

//+------------------------------------------------------------------+
//| Quantum Phase Estimation Simulator Class                         |
//+------------------------------------------------------------------+
class CQuantumPhaseEstimator
{
private:
   // Quantum circuit parameters (from IBM article)
   static const int DEFAULT_QUBITS = 22;
   static const int SHOTS = 3000;  // Number of quantum measurements
   
   // Market analysis parameters
   static const int PRICE_HISTORY = 256;  // 2^8 for quantum efficiency
   
   string m_symbol;
   ENUM_TIMEFRAMES m_timeframe;
   
public:
   //--- Constructor
   CQuantumPhaseEstimator(string symbol, ENUM_TIMEFRAMES timeframe)
   {
      m_symbol = symbol;
      m_timeframe = timeframe;
   }
   
   //--- Analyze current market state using quantum concepts
   QuantumMarketState AnalyzeMarketState(int horizonLength = 10)
   {
      QuantumMarketState state;
      state.analysisTime = TimeCurrent();
      ArrayInitialize(state.probabilityMatrix, 0);
      
      // Get historical price data
      MqlRates rates[];
      ArraySetAsSeries(rates, true);
      int copied = CopyRates(m_symbol, m_timeframe, 0, PRICE_HISTORY, rates);
      
      if(copied < PRICE_HISTORY)
      {
         Print("QuantumAnalysis: Insufficient price data");
         state.trendConfidence = 0;
         state.dominantTrend = 0;
         state.isStrongTrend = false;
         return state;
      }
      
      // Encode prices to binary (quantum state preparation)
      string binarySequence = EncodePricesToBinary(rates);
      
      // Simulate quantum phase estimation
      double quantumProbs[] = SimulateQPE(binarySequence, horizonLength);
      
      // Build probability matrix for future candles
      for(int i = 0; i < horizonLength && i < 10; i++)
      {
         state.probabilityMatrix[i] = quantumProbs[i];
      }
      
      // Calculate trend metrics
      double avgUpProb = 0;
      for(int i = 0; i < horizonLength; i++)
      {
         avgUpProb += quantumProbs[i];
      }
      avgUpProb /= horizonLength;
      
      // Determine dominant trend
      if(avgUpProb > 0.60)  // 60% threshold for bullish
      {
         state.dominantTrend = 1;
         state.trendConfidence = avgUpProb * 100;
         state.stateDescription = "Strong Bullish Quantum State";
         state.isStrongTrend = (avgUpProb > 0.65);
      }
      else if(avgUpProb < 0.40)  // 40% threshold for bearish
      {
         state.dominantTrend = -1;
         state.trendConfidence = (1.0 - avgUpProb) * 100;
         state.stateDescription = "Strong Bearish Quantum State";
         state.isStrongTrend = (avgUpProb < 0.35);
      }
      else
      {
         state.dominantTrend = 0;
         state.trendConfidence = 50.0;
         state.stateDescription = "Neutral/Ranging Quantum State";
         state.isStrongTrend = false;
      }
      
      // Calculate quantum entropy (uncertainty measure)
      state.quantumEntropy = CalculateQuantumEntropy(quantumProbs, horizonLength);
      
      return state;
   }
   
   //--- Encode price movements to binary string
   string EncodePricesToBinary(const MqlRates &rates[])
   {
      string binary = "";
      int size = ArraySize(rates);
      
      for(int i = size - 2; i >= 0; i--)
      {
         // 1 if price increased, 0 if decreased
         binary += (rates[i].close > rates[i+1].close) ? "1" : "0";
      }
      
      return binary;
   }
   
   //--- Simulate Quantum Phase Estimation algorithm
   double[] SimulateQPE(const string binarySequence, int horizonLength)
   {
      double probabilities[];
      ArrayResize(probabilities, horizonLength);
      
      int seqLength = StringLen(binarySequence);
      if(seqLength == 0)
      {
         ArrayInitialize(probabilities, 0.5);
         return probabilities;
      }
      
      // Analyze historical patterns using quantum-inspired approach
      for(int h = 0; h < horizonLength; h++)
      {
         double upWeight = 0;
         double downWeight = 0;
         double totalWeight = 0;
         
         // Scan for patterns with exponential time decay
         for(int i = 0; i < seqLength; i++)
         {
            // Recent data has higher weight (quantum superposition effect)
            double timeWeight = MathExp(-0.005 * (seqLength - i));
            
            // Position weight (simulate quantum phase)
            double phaseWeight = 1.0 + 0.3 * MathSin(2 * M_PI * i / seqLength);
            
            double combinedWeight = timeWeight * phaseWeight;
            totalWeight += combinedWeight;
            
            if(StringGetCharacter(binarySequence, i) == '1')
               upWeight += combinedWeight;
            else
               downWeight += combinedWeight;
         }
         
         // Calculate probability with quantum interference effect
         double baseProb = upWeight / totalWeight;
         
         // Add quantum interference pattern
         double interference = 0.05 * MathSin(2 * M_PI * h / horizonLength);
         
         // Apply momentum factor (recent trend influence)
         double momentum = CalculateMomentumFactor(binarySequence, 20);
         
         // Combine all quantum effects
         probabilities[h] = baseProb + interference + momentum * 0.1;
         
         // Clamp to valid probability range
         probabilities[h] = MathMax(0.0, MathMin(1.0, probabilities[h]));
      }
      
      return probabilities;
   }
   
   //--- Calculate momentum factor from recent price action
   double CalculateMomentumFactor(const string binarySequence, int lookback)
   {
      int length = StringLen(binarySequence);
      if(length < lookback) lookback = length;
      
      int recentOnes = 0;
      
      // Count 1s in recent data
      for(int i = 0; i < lookback; i++)
      {
         if(StringGetCharacter(binarySequence, i) == '1')
            recentOnes++;
      }
      
      // Calculate momentum: -0.5 (strong down) to +0.5 (strong up)
      double momentum = ((double)recentOnes / lookback - 0.5);
      
      return momentum;
   }
   
   //--- Calculate quantum entropy (uncertainty measure)
   double CalculateQuantumEntropy(const double &probabilities[], int length)
   {
      double entropy = 0;
      
      for(int i = 0; i < length; i++)
      {
         double p = probabilities[i];
         
         // Shannon entropy with quantum correction
         if(p > 0 && p < 1)
         {
            entropy += -(p * MathLog(p) + (1-p) * MathLog(1-p));
         }
      }
      
      // Normalize entropy
      if(length > 0)
         entropy /= length;
      
      return entropy;
   }
   
   //--- Multi-timeframe quantum analysis
   bool ConfirmTrendAcrossTimeframes(ENUM_TIMEFRAMES tf1, ENUM_TIMEFRAMES tf2, 
                                     ENUM_TIMEFRAMES tf3)
   {
      // Analyze each timeframe
      CQuantumPhaseEstimator qpe1(m_symbol, tf1);
      CQuantumPhaseEstimator qpe2(m_symbol, tf2);
      CQuantumPhaseEstimator qpe3(m_symbol, tf3);
      
      QuantumMarketState state1 = qpe1.AnalyzeMarketState();
      QuantumMarketState state2 = qpe2.AnalyzeMarketState();
      QuantumMarketState state3 = qpe3.AnalyzeMarketState();
      
      // Require at least 2 out of 3 timeframes to agree
      int bullCount = 0;
      int bearCount = 0;
      
      if(state1.dominantTrend == 1) bullCount++;
      else if(state1.dominantTrend == -1) bearCount++;
      
      if(state2.dominantTrend == 1) bullCount++;
      else if(state2.dominantTrend == -1) bearCount++;
      
      if(state3.dominantTrend == 1) bullCount++;
      else if(state3.dominantTrend == -1) bearCount++;
      
      return (bullCount >= 2 || bearCount >= 2);
   }
   
   //--- Get quantum trend strength (0-100)
   double GetQuantumTrendStrength()
   {
      QuantumMarketState state = AnalyzeMarketState();
      return state.trendConfidence;
   }
   
   //--- Check if quantum state supports trade direction
   bool QuantumStateSupportsDirection(int direction)
   {
      QuantumMarketState state = AnalyzeMarketState();
      
      if(direction > 0)  // Buy
         return (state.dominantTrend == 1 && state.trendConfidence > 60);
      else if(direction < 0)  // Sell
         return (state.dominantTrend == -1 && state.trendConfidence > 60);
      
      return false;
   }
};

//+------------------------------------------------------------------+
//| Quantum Market Pattern Detector                                  |
//+------------------------------------------------------------------+
class CQuantumPatternDetector
{
private:
   string m_symbol;
   ENUM_TIMEFRAMES m_timeframe;
   
public:
   //--- Constructor
   CQuantumPatternDetector(string symbol, ENUM_TIMEFRAMES timeframe)
   {
      m_symbol = symbol;
      m_timeframe = timeframe;
   }
   
   //--- Detect quantum reversal pattern
   bool DetectQuantumReversal()
   {
      MqlRates rates[];
      ArraySetAsSeries(rates, true);
      
      if(CopyRates(m_symbol, m_timeframe, 0, 50, rates) < 50)
         return false;
      
      // Analyze recent price structure
      double recentHigh = rates[iHighest(m_symbol, m_timeframe, MODE_HIGH, 20, 0)].high;
      double recentLow = rates[iLowest(m_symbol, m_timeframe, MODE_LOW, 20, 0)].low;
      double currentPrice = rates[0].close;
      
      // Check for reversal conditions using quantum-inspired logic
      double pricePosition = (currentPrice - recentLow) / (recentHigh - recentLow);
      
      // Quantum probability distribution suggests reversal zones
      // Near extremes (>0.85 or <0.15) have higher reversal probability
      if(pricePosition > 0.85 || pricePosition < 0.15)
      {
         // Additional confirmation from momentum
         CQuantumPhaseEstimator qpe(m_symbol, m_timeframe);
         QuantumMarketState state = qpe.AnalyzeMarketState();
         
         // High entropy suggests uncertainty/potential reversal
         if(state.quantumEntropy > 0.6)
            return true;
      }
      
      return false;
   }
   
   //--- Detect quantum breakout pattern
   bool DetectQuantumBreakout()
   {
      CQuantumPhaseEstimator qpe(m_symbol, m_timeframe);
      QuantumMarketState state = qpe.AnalyzeMarketState();
      
      // Strong trend + low entropy = high confidence breakout
      return (state.isStrongTrend && state.quantumEntropy < 0.4);
   }
   
   //--- Get optimal entry timing based on quantum analysis
   bool IsOptimalEntryTime()
   {
      CQuantumPhaseEstimator qpe(m_symbol, m_timeframe);
      QuantumMarketState state = qpe.AnalyzeMarketState();
      
      // Optimal entry: clear trend + moderate confidence + low entropy
      bool hasClearTrend = (state.dominantTrend != 0);
      bool hasConfidence = (state.trendConfidence > 60);
      bool hasLowUncertainty = (state.quantumEntropy < 0.5);
      
      return (hasClearTrend && hasConfidence && hasLowUncertainty);
   }
};

//+------------------------------------------------------------------+