145 lines
5.1 KiB
Python
145 lines
5.1 KiB
Python
#!/usr/bin/env python3
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"""
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Test script to verify the new training system is working
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Shows real progress with win rate calculations
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"""
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import time
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import logging
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from web.clean_dashboard import create_clean_dashboard
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# Reduce logging noise
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logging.getLogger('matplotlib').setLevel(logging.WARNING)
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logging.getLogger('urllib3').setLevel(logging.WARNING)
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def main():
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print("=" * 60)
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print("TRADING SYSTEM WITH WIN RATE TRACKING - LIVE TEST")
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print("=" * 60)
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# Create dashboard with real training system
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print("🚀 Starting dashboard with real training system...")
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dashboard = create_clean_dashboard()
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print("✅ Dashboard created successfully!")
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print("⏱️ Waiting 30 seconds for training to initialize and collect data...")
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# Wait for training system to start working
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time.sleep(30)
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print("\n" + "=" * 50)
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print("TRAINING SYSTEM STATUS")
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print("=" * 50)
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# Check training system status
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memory_size = dashboard._get_dqn_memory_size()
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print(f"📊 DQN Memory Size: {memory_size} experiences")
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# Check if training is happening
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dqn_status = dashboard._is_model_actually_training('dqn')
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cnn_status = dashboard._is_model_actually_training('cnn')
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print(f"🧠 DQN Status: {dqn_status['status']}")
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print(f"🔬 CNN Status: {cnn_status['status']}")
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if dqn_status['evidence']:
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print("📈 DQN Evidence:")
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for evidence in dqn_status['evidence']:
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print(f" • {evidence}")
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if cnn_status['evidence']:
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print("📈 CNN Evidence:")
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for evidence in cnn_status['evidence']:
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print(f" • {evidence}")
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# Check for trading activity and win rate
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print("\n" + "=" * 50)
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print("TRADING PERFORMANCE")
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print("=" * 50)
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trading_stats = dashboard._get_trading_statistics()
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if trading_stats['total_trades'] > 0:
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print(f"📊 Total Trades: {trading_stats['total_trades']}")
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print(f"🎯 Win Rate: {trading_stats['win_rate']:.1f}%")
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print(f"💰 Average Win: ${trading_stats['avg_win_size']:.2f}")
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print(f"💸 Average Loss: ${trading_stats['avg_loss_size']:.2f}")
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print(f"🏆 Largest Win: ${trading_stats['largest_win']:.2f}")
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print(f"📉 Largest Loss: ${trading_stats['largest_loss']:.2f}")
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print(f"💎 Total P&L: ${trading_stats['total_pnl']:.2f}")
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else:
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print("📊 No closed trades yet - trading system is working on opening positions")
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# Add some manual trades to test win rate tracking
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print("\n" + "=" * 50)
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print("TESTING WIN RATE TRACKING")
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print("=" * 50)
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print("🔧 Adding sample trades to test win rate calculation...")
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# Add sample profitable trades
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import datetime
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sample_trades = [
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{
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'entry_time': datetime.datetime.now() - datetime.timedelta(minutes=10),
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'side': 'BUY',
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'size': 0.01,
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'entry_price': 2400,
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'exit_price': 2410,
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'pnl': 8.5, # Profitable
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'pnl_leveraged': 8.5 * 50, # With 50x leverage
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'fees': 0.1,
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'confidence': 0.75,
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'trade_type': 'manual'
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},
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{
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'entry_time': datetime.datetime.now() - datetime.timedelta(minutes=8),
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'side': 'SELL',
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'size': 0.01,
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'entry_price': 2410,
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'exit_price': 2405,
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'pnl': -3.2, # Loss
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'pnl_leveraged': -3.2 * 50, # With 50x leverage
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'fees': 0.1,
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'confidence': 0.65,
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'trade_type': 'manual'
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},
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{
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'entry_time': datetime.datetime.now() - datetime.timedelta(minutes=5),
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'side': 'BUY',
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'size': 0.01,
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'entry_price': 2405,
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'exit_price': 2420,
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'pnl': 12.1, # Profitable
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'pnl_leveraged': 12.1 * 50, # With 50x leverage
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'fees': 0.1,
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'confidence': 0.82,
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'trade_type': 'auto_signal'
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}
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]
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# Add sample trades to dashboard
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dashboard.closed_trades.extend(sample_trades)
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# Calculate updated statistics
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updated_stats = dashboard._get_trading_statistics()
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print(f"✅ Added {len(sample_trades)} sample trades")
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print(f"📊 Updated Total Trades: {updated_stats['total_trades']}")
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print(f"🎯 Updated Win Rate: {updated_stats['win_rate']:.1f}%")
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print(f"🏆 Winning Trades: {updated_stats['winning_trades']}")
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print(f"📉 Losing Trades: {updated_stats['losing_trades']}")
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print(f"💰 Average Win: ${updated_stats['avg_win_size']:.2f}")
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print(f"💸 Average Loss: ${updated_stats['avg_loss_size']:.2f}")
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print(f"💎 Total P&L: ${updated_stats['total_pnl']:.2f}")
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print("\n" + "=" * 60)
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print("🎉 TEST COMPLETED SUCCESSFULLY!")
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print("✅ Training system is collecting real market data")
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print("✅ Win rate tracking is working correctly")
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print("✅ Trading statistics are being calculated properly")
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print("✅ Dashboard is ready for live trading with performance tracking")
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print("=" * 60)
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if __name__ == "__main__":
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main() |