mirror of
https://github.com/chrisnov-it/quantumbotx.git
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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.
95 lines
3.1 KiB
Python
95 lines
3.1 KiB
Python
#!/usr/bin/env python3
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"""
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🔇 Silent Backtesting Demo
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Demonstrates the completely silent backtesting - no terminal noise!
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"""
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import sys
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import os
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sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
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def test_silent_backtesting():
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"""Demonstrate silent backtesting"""
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print("🔇 Testing SILENT Backtesting")
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print("=" * 50)
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print("Before: Lots of noisy terminal logs")
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print("After: Complete silence during backtesting!")
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print("=" * 50)
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try:
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from core.backtesting.engine import run_backtest
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import pandas as pd
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import numpy as np
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# Create simple test data
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dates = pd.date_range('2024-01-01', periods=200, freq='H')
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base_price = 1.1000
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prices = base_price + np.cumsum(np.random.randn(200) * 0.001)
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df = pd.DataFrame({
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'time': dates,
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'open': prices,
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'high': prices + np.random.uniform(0, 0.002, 200),
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'low': prices - np.random.uniform(0, 0.002, 200),
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'close': prices,
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'volume': np.random.randint(1000, 5000, 200)
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})
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# Ensure OHLC integrity
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df['high'] = df[['high', 'open', 'close']].max(axis=1)
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df['low'] = df[['low', 'open', 'close']].min(axis=1)
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print("\\n🚀 Running backtest (should be completely silent)...")
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print("👀 Watch carefully - no logs should appear!")
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print("\\n--- BACKTESTING START ---")
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# Run backtest - should be completely silent
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result = run_backtest(
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strategy_id='MA_CROSSOVER',
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params={
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'lot_size': 1.0,
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'sl_pips': 2.0,
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'tp_pips': 4.0
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},
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historical_data_df=df,
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symbol_name='EURUSD'
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)
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print("--- BACKTESTING END ---")
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print("\\n✅ Backtest completed SILENTLY!")
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print(f"📊 Results: {result.get('total_trades', 0)} trades, ${result.get('total_profit_usd', 0):.2f} profit")
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print("\\n🎉 SUCCESS!")
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print("✅ No terminal noise")
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print("✅ Results still available")
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print("✅ Backtesting history still works")
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print("✅ Perfect for production use")
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print("\\n💡 Benefits:")
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print("• Clean terminal output")
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print("• No log spam during backtesting")
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print("• Results still captured in history")
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print("• Better user experience")
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print("• Professional appearance")
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return True
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except Exception as e:
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print(f"❌ Error: {e}")
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return False
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if __name__ == "__main__":
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print("🔇 QuantumBotX Silent Backtesting Demo")
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print("=" * 60)
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success = test_silent_backtesting()
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if success:
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print("\\n" + "=" * 60)
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print("🎯 SILENT BACKTESTING IS READY!")
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print("Your backtesting is now completely quiet.")
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print("Check the backtesting history page for results.")
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print("=" * 60)
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else:
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print("\\n❌ Test failed - check the error above") |