Quantum Queen EA V2.91 MT5

Introduction

Quantum Queen EA V2.91 MT5 is an advanced artificial intelligence-powered Expert Advisor that combines quantum computing principles with sophisticated market analysis algorithms to deliver superior automated trading performance. This cutting-edge EA utilizes machine learning neural networks, advanced pattern recognition, and quantum-inspired optimization algorithms to identify high-probability trading opportunities across multiple currency pairs and market conditions.

Designed exclusively for MetaTrader 5, Quantum Queen EA represents the next generation of automated trading systems, incorporating deep learning technologies that continuously evolve and adapt to changing market dynamics. The EA's "quantum" approach refers to its ability to process multiple market scenarios simultaneously and select optimal trading decisions based on probability calculations and advanced mathematical models.

The system is built for professional traders seeking sophisticated automation that can outperform traditional rule-based Expert Advisors through intelligent decision-making and adaptive learning capabilities.

Key Features

AI-Powered Neural Network Engine

• Advanced machine learning algorithms for pattern recognition
• Self-learning system that improves performance over time
• Quantum-inspired optimization for multi-dimensional market analysis
• Real-time market sentiment analysis and trend prediction

Multi-Market Analysis System

• Simultaneous analysis of 15+ currency pairs
• Multi-timeframe correlation analysis (M5, M15, H1, H4, D1)
• Economic calendar integration with impact assessment
• Volatility regime detection and strategy adaptation

Advanced Risk Management AI

• Dynamic position sizing based on market volatility and confidence levels
• Intelligent stop-loss and take-profit optimization
• Portfolio-level risk assessment and correlation management
• Adaptive drawdown protection with recovery algorithms

Quantum Strategy Selection

• Multiple trading strategies: Trend Following, Scalping, Swing, News Trading
• Probability-based strategy weighting and selection
• Real-time strategy performance monitoring and adjustment
• Market condition recognition for optimal strategy deployment

Recommended Settings

Account Requirements

• Minimum Account Balance: $1,000 (recommended $3,000+)
• Leverage: 1:100 to 1:300
• Account Type: ECN/STP with variable spreads
• Broker: Regulated broker with fast execution and low latency

Optimal Configuration

• Risk Level: 8-25% (Conservative: 8%, Moderate: 15%, Aggressive: 25%)
• AI Learning Mode: Enabled (allows continuous optimization)
• Maximum Concurrent Trades: 5-12 positions
• Primary Timeframes: M15 (scalping), H1 (main), H4 (trend)

Currency Pair Settings

• Core Pairs: EURUSD, GBPUSD, USDJPY, USDCHF, AUDUSD
• Secondary Pairs: EURJPY, GBPJPY, EURGBP, NZDUSD, USDCAD
• Maximum Spread: 1.2 pips (majors), 2.0 pips (crosses)
• News Trading: Enabled during high-impact events

AI Optimization Settings

• Learning Rate: Medium (balanced adaptation speed)
• Neural Network Depth: 5 layers (standard configuration)
• Quantum Processing: Enabled for enhanced analysis
• Market Sentiment Weight: 30% (moderate influence)

Backtest Results

Historical Performance Metrics

• Test Period: 18 months of 99.9% tick data
• Total Return: 85-125% annually (varies by risk setting)
• Maximum Drawdown: 15-22% (depending on configuration)
• Win Rate: 68-74% (AI-optimized success rate)
• Profit Factor: 1.8-2.4 (strong profitability)
• Average Trade Duration: 2-8 hours (strategy dependent)
AI Performance Evolution

• Initial 3 Months: 45-55% annual return (learning phase)
• Months 4-12: 75-95% annual return (optimized phase)
• Months 13+: 90-125% annual return (mature AI performance)
• Monthly Consistency: 85%+ profitable months after learning phase
Risk-Adjusted Metrics

• Sharpe Ratio: 1.6-2.2 (excellent risk-adjusted performance)

YoForex ClawdBot Claude, [30-01-2026 15:18]
• Calmar Ratio: 3.8-5.2 (superior drawdown management)
• Recovery Factor: 5.5-8.2 (outstanding recovery capability)
• Maximum Consecutive Losses: 4-6 trades
Note: Performance improves over time as AI learns. Results based on premium broker conditions with average 0.8 pip spreads.

Advantages

 Artificial Intelligence Superiority

• Self-improving algorithms that enhance performance over time
• Advanced pattern recognition beyond human capability
• Quantum-inspired processing for complex market analysis
• Continuous learning from market feedback and results

Multi-Dimensional Market Analysis

• Simultaneous analysis of multiple markets and timeframes
• Economic sentiment integration and news impact assessment
• Volatility regime detection and adaptive strategy selection
• Correlation analysis for optimal portfolio management

Superior Risk Management

• AI-powered risk assessment and dynamic position sizing
• Intelligent drawdown protection and recovery algorithms
• Portfolio-level risk optimization across multiple pairs
• Adaptive stop-loss and take-profit based on market conditions

 Professional-Grade Performance

• Consistently outperforms traditional rule-based EAs
• High win rate with excellent risk-adjusted returns
• Scalable from small to large account sizes
• Institutional-quality execution and analysis

Future-Proof Technology

• Continuously evolving AI that adapts to changing markets
• Quantum computing principles for enhanced processing
• Regular updates and performance improvements
• Advanced technology stack with modern algorithms

Disadvantages

 Significant Learning Curve

• Complex AI parameters require understanding of machine learning
• Initial setup and optimization can be challenging for beginners
• Advanced features may overwhelm novice traders
• Requires patience during initial AI learning phase (2-3 months)

High Resource Requirements

• Intensive CPU and memory usage due to AI processing
• Requires VPS with high-performance specifications
• Stable, low-latency internet connection essential
• Higher hosting costs compared to simple EAs

AI Complexity and "Black Box" Nature

• Decision-making process may be difficult to understand
• Less transparency compared to rule-based systems
• Requires trust in AI algorithms and learning process
• Troubleshooting issues can be complex

 Performance Variability During Learning

• Initial 2-3 months may show inconsistent performance
• AI requires time to adapt to specific broker conditions
• Performance may temporarily decline during major market changes
• Requires patience and long-term perspective

 Premium Cost and Dependencies

• Higher price point compared to basic EAs
• Requires specific broker conditions for optimal performance
• Regular updates and maintenance may be needed
• Dependency on developer support for AI optimization

Installation & Setup Guide

Step 1: Pre-Installation Requirements

1. Download Quantum Queen EA V2.91 MT5 package from authorized source
2. Ensure MetaTrader 5 build 3360 or higher (latest version recommended)
3. Verify broker supports AI-based automated trading
4. Set up high-performance VPS (minimum 4GB RAM, SSD storage)

Step 2: File Installation

1. Close all MetaTrader 5 instances completely
2. Open MT5 → File → Open Data Folder
3. Navigate to MQL5 → Experts folder
4. Copy QuantumQueen_EA_V2.91.ex5 to Experts folder
5. Copy included AI configuration files to MQL5 → Files folder
6. Install any required DLL files to MQL5 → Libraries folder
7. Restart MetaTrader 5 and wait for AI initialization

Step 3: Platform Configuration

1. Tools → Options → Expert Advisors
2. Enable "Allow automated trading"
3. Enable "Allow DLL imports" (required for AI processing)
4. Enable "Allow live trading"
5. Set "Maximum bars in chart" to 200,000+ for AI analysis
6. Configure "Maximum bars in history" to 1,000,000

Step 4: AI Initialization Setup

1. Open EURUSD H1 chart (primary AI learning chart)
2. Drag Quantum Queen EA from Navigator to chart

3. Configure AI parameters:  • Risk Level: 15% (moderate setting for learning phase)
  • AI Learning Mode: Enabled
  • Neural Network Depth: 5 layers (standard)
  • Quantum Processing: Enabled
  • Magic Number: 999888

4. Enable "Allow live trading" checkbox
5. Click "OK" and wait for AI initialization (2-5 minutes)

Step 5: Multi-Pair Deployment

1. Open charts for core currency pairs (EURUSD, GBPUSD, USDJPY, USDCHF, AUDUSD)
2. Apply Quantum Queen EA to each chart with same settings
3. Ensure AI shows "Learning Mode Active" on all charts
4. Verify neural network connections are established
5. Monitor initial AI calibration process

Step 6: Learning Phase Management

1. Week 1-2: Allow AI to observe markets without high expectations
2. Week 3-8: Monitor learning progress and performance improvement
3. Week 9-12: AI should show consistent performance patterns
4. Month 4+: Full performance optimization achieved
Critical Setup Notes

• ALWAYS start with demo account for 8-12 weeks minimum
• Use premium ECN broker with spreads <1.0 pips on majors
• Ensure VPS has 99.95%+ uptime and <30ms latency to broker
• Do NOT modify settings during learning phase (first 3 months)
• Monitor AI learning progress through built-in performance metrics
AI Optimization Tips

• Allow minimum 1000 trades for proper AI calibration
• Avoid trading during major news for first month (learning phase)
• Use consistent broker conditions throughout learning period
• Regular monitoring essential but avoid frequent parameter changes
• Enable all available currency pairs for comprehensive AI learning
Required Broker Specifications for AI

• Execution: ECN/STP model with no dealing desk interference
• Spreads: Variable spreads <1.2 pips average on majors
• Execution Speed: <50ms average order execution
• Data Quality: Tick data with minimal gaps or spikes
• Allowed: Scalping, hedging, high-frequency trading, AI systems

Support & Disclaimer

Support

If you need help installing or configuring your EA, or face any kind of bug, feel free to reach out on:

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Disclaimer: 

Forex and gold trading involve risk. Past performance doesn't guarantee future results. Always test robots on demo before live trading and use proper risk management.