mirror of
https://github.com/chrisnov-it/quantumbotx.git
synced 2026-07-27 18:57:47 +00:00
bf94b22825
✅ CORE AI MENTOR SYSTEM: - Complete Indonesian language AI trading mentor - Real-time trading psychology analysis with cultural context - Emotional intelligence for Indonesian trading behavior - Personal feedback with Islamic context ('Alhamdulillah profit!') - Jakarta timezone optimization and BI rate awareness ✅ DATABASE INTEGRATION: - New trading_sessions, ai_mentor_reports, daily_trading_data tables - Real-time capture of trading data for AI analysis - Historical performance tracking and emotional state logging - Seamless integration with existing bot architecture ✅ WEB INTERFACE: - Beautiful Indonesian AI mentor dashboard - Interactive emotion selection with cultural sensitivity - Real-time feedback generation and instant AI consultation - Daily report generation with comprehensive analysis - Quick feedback modal for emotional check-ins ✅ TRADING BOT INTEGRATION: - Automatic trade logging for AI mentor analysis - Risk management scoring (1-10 scale) - Strategy performance correlation with emotional states - Stop loss and take profit usage tracking ✅ REVOLUTIONARY FEATURES: - First-ever Indonesian AI trading mentor in the world - Combines trading psychology with Islamic values - Market-specific guidance for Indonesian traders - Progressive learning path from beginner to expert - Cultural trading wisdom (Jakarta hours, Ramadan considerations) IMPACT: This transforms QuantumBotX into the world's first culturally-aware AI trading mentor specifically designed for Indonesian retail traders. Indonesian beginners now have personal AI guidance in their native language with full understanding of local market conditions and cultural context.
140 lines
5.3 KiB
Python
140 lines
5.3 KiB
Python
#!/usr/bin/env python3
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"""
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🎓 Test Beginner-Friendly Strategy System
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Quick validation of the new beginner defaults and strategy selector
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"""
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import sys
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import os
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# Add the project root to the path
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sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
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try:
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from core.strategies.strategy_map import (
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get_beginner_strategies,
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get_strategies_by_difficulty,
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get_strategies_for_market,
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get_strategy_info,
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STRATEGY_METADATA
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)
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from core.strategies.strategy_selector import StrategySelector
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from core.strategies.beginner_defaults import get_beginner_defaults
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print("✅ All imports successful!")
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except Exception as e:
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print(f"❌ Import error: {e}")
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sys.exit(1)
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def test_beginner_system():
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"""Test the beginner-friendly strategy system"""
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print("\n🎯 Testing Beginner Strategy System")
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print("=" * 50)
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# Test 1: Beginner strategies
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print("\n1. 🎓 Beginner-Friendly Strategies:")
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beginner_strategies = get_beginner_strategies()
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for strategy in beginner_strategies:
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metadata = STRATEGY_METADATA[strategy]
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print(f" ✅ {strategy}")
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print(f" Complexity: {metadata['complexity_score']}/10")
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print(f" Description: {metadata['description']}")
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print(f" Markets: {', '.join(metadata['market_types'])}")
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# Test 2: Strategy selector
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print("\n2. 🎯 Strategy Selector Test:")
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selector = StrategySelector()
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dashboard = selector.get_beginner_dashboard()
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print(f" 📊 Recommended strategies: {len(dashboard['recommended_strategies'])}")
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for strategy in dashboard['recommended_strategies']:
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print(f" • {strategy['display_name']} (Complexity: {strategy['complexity_score']})")
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# Test 3: Market-specific recommendations
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print("\n3. 🏪 Market-Specific Recommendations:")
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markets = ['FOREX', 'GOLD', 'CRYPTO']
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for market in markets:
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recommendation = selector.get_strategy_for_market(market, 'BEGINNER')
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print(f" {market}: {recommendation['recommended_strategy']}")
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print(f" Reason: {recommendation['reasoning']}")
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# Test 4: Learning path
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print("\n4. 📚 Learning Path:")
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learning_path = dashboard['learning_path']
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for step in learning_path:
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print(f" {step['level']}: {step['strategy']}")
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print(f" Goal: {step['goal']}")
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print(f" Focus: {step['focus']}")
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# Test 5: Parameter validation
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print("\n5. ⚙️ Parameter Validation Test:")
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test_params = {
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'fast_period': 50, # Very different from beginner default (10)
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'slow_period': 200 # Very different from beginner default (30)
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}
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validation = selector.validate_parameters('MA_CROSSOVER', test_params)
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print(f" Is beginner safe: {validation['is_beginner_safe']}")
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if validation['warnings']:
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for warning in validation['warnings']:
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print(f" ⚠️ {warning}")
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if validation['suggestions']:
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for suggestion in validation['suggestions']:
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print(f" 💡 {suggestion}")
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# Test 6: Safety tips
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print("\n6. 🛡️ Safety Tips:")
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safety_tips = dashboard['safety_tips']
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for tip in safety_tips[:3]: # Show first 3
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print(f" {tip}")
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print(f" ... and {len(safety_tips)-3} more tips")
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print("\n🎉 All tests completed successfully!")
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print("\n💡 Summary:")
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print(f" • {len(beginner_strategies)} beginner-friendly strategies")
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print(f" • {len(get_strategies_by_difficulty('INTERMEDIATE'))} intermediate strategies")
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print(f" • {len(get_strategies_by_difficulty('ADVANCED'))} advanced strategies")
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print(f" • {len(get_strategies_by_difficulty('EXPERT'))} expert strategies")
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print(f" • Complete learning path with {len(learning_path)} steps")
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print(f" • {len(safety_tips)} safety tips for beginners")
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def show_strategy_comparison():
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"""Show comparison of old vs new defaults"""
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print("\n📊 Strategy Defaults Comparison")
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print("=" * 50)
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strategies_to_compare = ['MA_CROSSOVER', 'RSI_CROSSOVER', 'TURTLE_BREAKOUT']
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for strategy_name in strategies_to_compare:
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print(f"\n🎯 {strategy_name}:")
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# Get beginner defaults
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beginner_info = get_beginner_defaults(strategy_name)
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if beginner_info:
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print(f" Difficulty: {beginner_info['difficulty']}")
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print(f" Description: {beginner_info['description']}")
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print(f" Beginner Parameters:")
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for param, value in beginner_info['params'].items():
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explanation = beginner_info['explanation'].get(param, '')
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print(f" • {param}: {value} - {explanation}")
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else:
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print(" ❌ No beginner defaults found")
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if __name__ == "__main__":
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print("🎓 QuantumBotX Beginner Strategy System Test")
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print("=" * 60)
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try:
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test_beginner_system()
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show_strategy_comparison()
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print("\n" + "=" * 60)
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print("🏆 SUCCESS! Beginner system is working perfectly!")
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print("✨ Your trading app is now super beginner-friendly!")
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print("=" * 60)
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except Exception as e:
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print(f"\n❌ Error during testing: {e}")
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import traceback
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traceback.print_exc() |