mirror of
https://github.com/chrisnov-it/quantumbotx.git
synced 2026-07-27 18:57:47 +00:00
Reynov Christian
86 lines
3.3 KiB
Python
86 lines
3.3 KiB
Python
#!/usr/bin/env python3
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# quick_ai_mentor_demo.py
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"""
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🚀 Quick AI Mentor Demo - Add Sample Data
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Creates sample trading sessions to demonstrate the AI Mentor features
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"""
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import sys
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import os
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sys.path.append(os.path.dirname(os.path.abspath(__file__)))
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from datetime import date, timedelta
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from core.db.models import create_trading_session, log_trade_for_ai_analysis
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def create_sample_data():
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"""Create sample trading sessions for AI mentor demo"""
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print("\n🤖 Creating sample AI mentor data...")
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# Create today's session
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today = date.today()
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session_id = create_trading_session(
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session_date=today,
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emotions='tenang',
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market_conditions='trending',
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notes='Sample trading session untuk demo AI Mentor'
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)
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if session_id > 0:
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print(f"✅ Created today's session: {session_id}")
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# Add some sample trades
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sample_trades = [
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{'bot_id': 1, 'symbol': 'EURUSD', 'profit': 25.50, 'lot_size': 0.01, 'sl_used': True, 'tp_used': True, 'risk': 1.0, 'strategy': 'MA_CROSSOVER'},
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{'bot_id': 2, 'symbol': 'XAUUSD', 'profit': -15.20, 'lot_size': 0.01, 'sl_used': True, 'tp_used': False, 'risk': 1.0, 'strategy': 'QUANTUM_VELOCITY'},
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{'bot_id': 3, 'symbol': 'BTCUSD', 'profit': 45.80, 'lot_size': 0.01, 'sl_used': True, 'tp_used': True, 'risk': 0.5, 'strategy': 'QUANTUMBOTX_CRYPTO'}
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]
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for trade in sample_trades:
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log_trade_for_ai_analysis(
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bot_id=trade['bot_id'],
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symbol=trade['symbol'],
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profit_loss=trade['profit'],
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lot_size=trade['lot_size'],
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stop_loss_used=trade['sl_used'],
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take_profit_used=trade['tp_used'],
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risk_percent=trade['risk'],
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strategy_used=trade['strategy']
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)
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print(f"✅ Added {len(sample_trades)} sample trades")
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# Create yesterday's session
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yesterday = today - timedelta(days=1)
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yesterday_session = create_trading_session(
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session_date=yesterday,
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emotions='serakah',
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market_conditions='volatile',
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notes='Trading agresif kemarin, kurang sabar'
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)
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if yesterday_session > 0:
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print(f"✅ Created yesterday's session: {yesterday_session}")
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# Add yesterday's trades
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yesterday_trades = [
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{'bot_id': 1, 'symbol': 'EURUSD', 'profit': -35.20, 'lot_size': 0.02, 'sl_used': False, 'tp_used': False, 'risk': 2.0, 'strategy': 'MA_CROSSOVER'},
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{'bot_id': 2, 'symbol': 'GBPUSD', 'profit': 15.50, 'lot_size': 0.01, 'sl_used': True, 'tp_used': True, 'risk': 1.0, 'strategy': 'RSI_CROSSOVER'}
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]
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for trade in yesterday_trades:
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log_trade_for_ai_analysis(
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bot_id=trade['bot_id'],
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symbol=trade['symbol'],
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profit_loss=trade['profit'],
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lot_size=trade['lot_size'],
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stop_loss_used=trade['sl_used'],
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take_profit_used=trade['tp_used'],
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risk_percent=trade['risk'],
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strategy_used=trade['strategy']
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)
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print("\n🎉 Sample AI Mentor data created successfully!")
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print("📱 Visit http://localhost:5000/ai-mentor to see the results!")
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if __name__ == "__main__":
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create_sample_data() |