Quantum Horizon Trader

This is a professional automated trading system that uses a synthesis of 4 independent trading strategies employing artificial intelligence technologies and quantum computing to make consensus-based decisions.

Key Features:
Performs well on timeframes - H12 and D1

Multi-strategy approach - 4 independent strategies with different timeframes

Consensus Engine - intelligent signal aggregation

Quantum Adaptation - processing market uncertainty

Self-learning system - continuous accuracy improvement

Advanced Memory Management - stable 24/7 operation

2. MAIN SETTINGS
   2.1. General Parameters
   Trading Only On Gold - trading only on gold pairs (XAUUSD, XAU, GOLD)

Enable Logging - advanced logging for analysis

Max Risk Overall - maximum overall risk (0.5-3.0%)

Min Bars Between Trades - minimum distance between trades (1-5 bars)

2.2. Stop-Loss and Take-Profit Levels
ATR Multiplier SL - ATR multiplier for stop-loss (1.0-3.0)

TP to SL Ratio - TP/SL ratio (1.5-3.0)

3. LOT MANAGEMENT
   3.1. Flexible Lot Calculation System
   Use Fixed Lot - fixed lot mode

Fixed Lot Size - fixed lot size (0.01-1.0)

Max Position Size - maximum position size

3.2. Adaptive Risk Calculation
Risk-oriented calculation based on account balance

Volatility consideration via ATR

Automatic adjustment in case of insufficient margin

4. MULTI-STRATEGY ARCHITECTURE
   4.1. Strategy 1 (Fast)
   Timeframe: M5

RSI Period: 7

Fast MA: 20, Slow MA: 50

Base Risk: 0.3%

Adaptive Threshold: 0.6

4.2. Strategy 2 (Medium-term)
Timeframe: M15

RSI Period: 14

Fast MA: 50, Slow MA: 100

Base Risk: 0.5%

Adaptive Threshold: 0.65

4.3. Strategy 3 (Long-term)
Timeframe: H1

RSI Period: 21

Fast MA: 100, Slow MA: 200

Base Risk: 0.7%

Adaptive Threshold: 0.7

4.4. Strategy 4 (Long-term+)
Timeframe: H4

RSI Period: 28

Fast MA: 150, Slow MA: 300

Base Risk: 1.0%

Adaptive Threshold: 0.75

5. CONSENSUS ENGINE
   5.1. Intelligent Decision Making
   Use Signal Consensus - activation of the consensus system

Min Consensus - minimum strategy agreement (1-4)

Consensus Threshold - consensus confidence threshold (0.5-0.8)

5.2. Neural Network Technologies
Use Neural Network - using a neural network for weighting

Use Quantum Superposition - quantum processing of uncertainty

Min Agree Strategies - minimum number of agreeing strategies

5.3. Correlation Filtering
Use Correlation Filter - filtering highly correlated signals

Max Correlation - maximum allowable correlation (0.3-0.9)

Divergence Threshold - divergence threshold (0.1-0.5)

6. TRAILING STOP
   6.1. Multi-mode Trailing
   Enable Trailing Stop - activation of trailing stop

Trailing Method - method: 0-ATR, 1-Fixed, 2-Percentage

Trailing ATR Mult - ATR multiplier for trailing (0.5-3.0)

6.2. Activation Parameters
Trailing Step - trailing step in points (10-100)

Trailing Start - activation level in points (10-50)

7. RISK MANAGEMENT
   7.1. Adaptive Risk System
   Risk Increase Factor - risk increase multiplier (1.1-1.3)

Risk Decrease Factor - risk decrease multiplier (0.7-0.9)

Max Consecutive Losses - maximum consecutive losses (1-5)

7.2. Partial Close
Use Partial Close - use of partial closing

Partial Close Percent - closing percentage (20-80%)

8. TREND FILTERS
   8.1. Market Structure Analysis
   Use Trend Filters - use of trend filters

Trend Filter Weight - trend filter weight (0.1-0.5)

Use Trend In Neural Net - trend consideration in the neural network

8.2. Filtering Criteria
Min Trend Strength - minimum trend strength (20-50)

Filter Against Trend - filtering counter-trend signals

9. MEMORY AND PERFORMANCE MANAGEMENT
   9.1. Resource Optimization
   Automatic cache clearing every 4 hours

Memory usage monitoring with warnings

Emergency clearing under high resource consumption

9.2. Data Caching
Optimized storage of signal history

Intelligent updating of indicator data

Efficient use of the file system

10. LOGGING AND MONITORING SYSTEM
    10.1. Detailed Statistics
    Advanced logging of all trading operations

Accuracy statistics for each strategy

Consensus engine performance monitoring

10.2. State Visualization
Informative comment on the chart

Display of signals from all strategies

Risk and memory management status

11. EMERGENCY PROCEDURES AND PROTECTION
    11.1. Safety Mechanisms
    Retry attempts on execution errors

Margin control with automatic lot reduction

Connection loss protection

11.2. Crash Recovery
Automatic strategy re-initialization

Saving state to disk

Parameter recovery after restart

📊 ADVANTAGES FOR TRADERS:
🔬 Scientific Approach
Utilization of the latest advances in AI and quantum computing

Multi-verification of signals through consensus

Adaptation to any market conditions

💼 Professional Management
Institutional-level risk management

Optimization for the specifics of gold pairs

Stable 24/7 operation without intervention

📈 Proven Effectiveness
Multi-strategy diversified approach

High accuracy through consensus

Consistent results over long periods

🛠️ Configuration Flexibility
4 independently configurable strategies

Wide customization options

Adaptation to any trading style

⚠️ IMPORTANT WARNING:
This is a professional trading system requiring an understanding of risk management principles. Past results do not guarantee future profitability. The EA may incur losses. It is recommended to:

Always test on a demo account before using with real funds

Start with minimal risks (0.5-1.0%)

Use a fixed lot for risk control

Regularly monitor the EA's operation

Adapt parameters to current market conditions

The system is intended for disciplined traders who value capital preservation, a systematic approach, and professional risk management.

ATTENTION: Refunds after purchasing the EA are not possible. Please thoroughly test the system on a demo account before using it with real funds.