Update trend_agent.py

trend_agent.py

@@ -2,10 +2,20 @@ from indicators import calculate_ema
 
 class TrendWatcherAgent:
     def run(self, df):
+        # Sort by time (required by ta-lib)
+        df = df.sort_index()
+
+        # Calculate EMA20 and EMA50
         df = calculate_ema(df, 20)
         df = calculate_ema(df, 50)
+
+        # Drop rows with NaN due to initial window
+        df.dropna(subset=["ema_20", "ema_50"], inplace=True)
+
+        # Get the latest row
         latest = df.iloc[-1]
 
+        # Trend logic
         if latest["ema_20"] > latest["ema_50"]:
             return {"trend": "Uptrend", "confidence": 80}
         else: