cleanup

debug/test_fixed_issues.py

@@ -70,70 +70,11 @@ def test_trading_statistics():
     logger.info(f"   Avg losing trade: ${daily_stats.get('avg_losing_trade', 0.0):.2f}")
     logger.info(f"   Total P&L: ${daily_stats.get('total_pnl', 0.0):.2f}")
     
-    # Simulate some trades if we don't have any
+    # If no trades, we can't test calculations
     if daily_stats.get('total_trades', 0) == 0:
-        logger.info("3. No trades found - simulating some test trades...")
-        
-        # Add some mock trades to the trade history
-        from core.trading_executor import TradeRecord
-        from datetime import datetime
-        
-        # Add a winning trade
-        winning_trade = TradeRecord(
-            symbol='ETH/USDT',
-            side='LONG',
-            quantity=0.01,
-            entry_price=2500.0,
-            exit_price=2550.0,
-            entry_time=datetime.now(),
-            exit_time=datetime.now(),
-            pnl=0.50,  # $0.50 profit
-            fees=0.01,
-            confidence=0.8
-        )
-        trading_executor.trade_history.append(winning_trade)
-        
-        # Add a losing trade
-        losing_trade = TradeRecord(
-            symbol='ETH/USDT',
-            side='LONG',
-            quantity=0.01,
-            entry_price=2500.0,
-            exit_price=2480.0,
-            entry_time=datetime.now(),
-            exit_time=datetime.now(),
-            pnl=-0.20,  # $0.20 loss
-            fees=0.01,
-            confidence=0.7
-        )
-        trading_executor.trade_history.append(losing_trade)
-        
-        # Get updated stats
-        daily_stats = trading_executor.get_daily_stats()
-        logger.info("   Updated statistics after adding test trades:")
-        logger.info(f"   Total trades: {daily_stats.get('total_trades', 0)}")
-        logger.info(f"   Winning trades: {daily_stats.get('winning_trades', 0)}")
-        logger.info(f"   Losing trades: {daily_stats.get('losing_trades', 0)}")
-        logger.info(f"   Win rate: {daily_stats.get('win_rate', 0.0) * 100:.1f}%")
-        logger.info(f"   Avg winning trade: ${daily_stats.get('avg_winning_trade', 0.0):.2f}")
-        logger.info(f"   Avg losing trade: ${daily_stats.get('avg_losing_trade', 0.0):.2f}")
-        logger.info(f"   Total P&L: ${daily_stats.get('total_pnl', 0.0):.2f}")
-        
-        # Verify calculations
-        expected_win_rate = 1/2  # 1 win out of 2 trades = 50%
-        expected_avg_win = 0.50
-        expected_avg_loss = -0.20
-        
-        actual_win_rate = daily_stats.get('win_rate', 0.0)
-        actual_avg_win = daily_stats.get('avg_winning_trade', 0.0)
-        actual_avg_loss = daily_stats.get('avg_losing_trade', 0.0)
-        
-        logger.info("4. Verifying calculations:")
-        logger.info(f"   Win rate: Expected {expected_win_rate*100:.1f}%, Got {actual_win_rate*100:.1f}% ✅" if abs(actual_win_rate - expected_win_rate) < 0.01 else f"   Win rate: Expected {expected_win_rate*100:.1f}%, Got {actual_win_rate*100:.1f}% ❌")
-        logger.info(f"   Avg win: Expected ${expected_avg_win:.2f}, Got ${actual_avg_win:.2f} ✅" if abs(actual_avg_win - expected_avg_win) < 0.01 else f"   Avg win: Expected ${expected_avg_win:.2f}, Got ${actual_avg_win:.2f} ❌")
-        logger.info(f"   Avg loss: Expected ${expected_avg_loss:.2f}, Got ${actual_avg_loss:.2f} ✅" if abs(actual_avg_loss - expected_avg_loss) < 0.01 else f"   Avg loss: Expected ${expected_avg_loss:.2f}, Got ${actual_avg_loss:.2f} ❌")
-        
-        return True
+        logger.info("3. No trades found - cannot test calculations without real trading data")
+        logger.info("   Run the system and execute some real trades to test statistics")
+        return False
     
     return True