Update app.py

app.py

@@ -146,41 +146,41 @@ class TradingBacktester:
             predictions_history = {}
     
             # 為每個交易日生成預測
-        for i in range(60, len(data)):  # 從第60天開始，確保有足夠歷史資料
-        current_date = data.index[i]
-        historical_data = data.iloc[:i+1].copy()  # 到當前日期的歷史資料
-        
-        # 確保歷史資料有必要的欄位結構 (yfinance格式)
-            if 'Close' not in historical_data.columns and 'close' in historical_data.columns:
-                historical_data['Close'] = historical_data['close']
-            if 'Volume' not in historical_data.columns and 'volume' in historical_data.columns:
-                historical_data['Volume'] = historical_data['volume']
-            if 'High' not in historical_data.columns and 'high' in historical_data.columns:
-                historical_data['High'] = historical_data['high']
-            if 'Low' not in historical_data.columns and 'low' in historical_data.columns:
-                historical_data['Low'] = historical_data['low']
-            if 'Open' not in historical_data.columns and 'open' in historical_data.columns:
-                historical_data['Open'] = historical_data['open']
-        
-            try:
-                # 呼叫預測函數 - get_prediction會處理特徵計算
-                predictions = {}
-                for days in [1, 5, 10, 20]:
-                    pred_result = predictor_func(historical_data, days)
-                    if pred_result:
-                        predictions[f'{days}d'] = pred_result.get('change_pct', 0)
-                    else:
-                        predictions[f'{days}d'] = 0
-                    
-                predictions_history[current_date] = predictions
+            for i in range(60, len(data)):  # 從第60天開始，確保有足夠歷史資料
+            current_date = data.index[i]
+            historical_data = data.iloc[:i+1].copy()  # 到當前日期的歷史資料
             
-            except Exception as e:
-                # print(f"預測失敗 {current_date}: {e}")
-                predictions_history[current_date] = {
-                    '1d': 0, '5d': 0, '10d': 0, '20d': 0
-                }
+            # 確保歷史資料有必要的欄位結構 (yfinance格式)
+                if 'Close' not in historical_data.columns and 'close' in historical_data.columns:
+                    historical_data['Close'] = historical_data['close']
+                if 'Volume' not in historical_data.columns and 'volume' in historical_data.columns:
+                    historical_data['Volume'] = historical_data['volume']
+                if 'High' not in historical_data.columns and 'high' in historical_data.columns:
+                    historical_data['High'] = historical_data['high']
+                if 'Low' not in historical_data.columns and 'low' in historical_data.columns:
+                    historical_data['Low'] = historical_data['low']
+                if 'Open' not in historical_data.columns and 'open' in historical_data.columns:
+                    historical_data['Open'] = historical_data['open']
             
-        return predictions_history
+                try:
+                    # 呼叫預測函數 - get_prediction會處理特徵計算
+                    predictions = {}
+                    for days in [1, 5, 10, 20]:
+                        pred_result = predictor_func(historical_data, days)
+                        if pred_result:
+                            predictions[f'{days}d'] = pred_result.get('change_pct', 0)
+                        else:
+                            predictions[f'{days}d'] = 0
+                        
+                    predictions_history[current_date] = predictions
+                
+                except Exception as e:
+                    # print(f"預測失敗 {current_date}: {e}")
+                    predictions_history[current_date] = {
+                        '1d': 0, '5d': 0, '10d': 0, '20d': 0
+                    }
+                
+            return predictions_history
     
     def run_backtest(self, stock_data, predictor_func, start_date=None, end_date=None):
         """