fix: implement api resilience to handle data delays at open

src/strategy/scanner.py

@@ -40,14 +40,20 @@ def scan_for_candidates(tickers: List[str] = DEFAULT_TICKERS, min_price: float =
                 
             df.ta.atr(length=14, append=True)
             
-            latest = df.iloc[-1]
+            # Safely get the close price, falling back to yesterday if today's is NaN (common at exactly 09:30)
+            close_price = df['Close'].iloc[-1]
+            if pd.isna(close_price) and len(df) > 1:
+                close_price = df['Close'].iloc[-2]
+                
             yesterday_atr = df['ATRr_14'].iloc[-2]
             
-            close_price = latest['Close']
+            # Safely get avg volume
             avg_volume = df['Volume'].tail(14).mean()
+            if pd.isna(avg_volume):
+                avg_volume = 0
             
             # Filters
-            if close_price < min_price or avg_volume < min_volume or pd.isna(yesterday_atr):
+            if pd.isna(close_price) or close_price < min_price or avg_volume < min_volume or pd.isna(yesterday_atr):
                 continue
                 
             atr_percent = (yesterday_atr / close_price) * 100