Quantum Horizon Trader
- Experts
- Vladimir Novikov
- Versão: 2.0
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
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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)
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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
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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
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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)
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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)
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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%)
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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
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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
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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
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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.
