refactor: Update scanner initialization to use passed interval parameter

src/screener/t_atr_ema.py

@@ -56,11 +56,11 @@ def check_entry_signal(df: pd.DataFrame) -> list:
     
     return signals
 
-def run_atr_ema_scanner(min_price: float, max_price: float, min_volume: int, portfolio_size: float = None) -> None:
+def run_atr_ema_scanner(min_price: float, max_price: float, min_volume: int, portfolio_size: float = None, interval: str = "1d") -> None:
     try:
         # Initialize scanner components
         interval, start_date, end_date, qualified_stocks, calculator = initialize_scanner(
-            min_price, max_price, min_volume, portfolio_size
+            min_price, max_price, min_volume, portfolio_size, interval
         )
         
         if not qualified_stocks:

src/utils/scanner_utils.py

@@ -3,13 +3,19 @@ from utils.data_utils import get_user_input, get_stock_data, get_qualified_stock
 from screener.user_input import get_interval_choice, get_date_range
 from trading.position_calculator import PositionCalculator
 
-def initialize_scanner(min_price: float, max_price: float, min_volume: int, portfolio_size: float = None) -> tuple:
+def initialize_scanner(min_price: float, max_price: float, min_volume: int, portfolio_size: float = None, interval: str = "1d") -> tuple:
     """
     Initialize common scanner components
+    
+    Args:
+        min_price (float): Minimum stock price
+        max_price (float): Maximum stock price
+        min_volume (int): Minimum volume threshold
+        portfolio_size (float, optional): Portfolio size for position calculations
+        interval (str, optional): Time interval for data (default: "1d")
     """
     print(f"\nScanning for stocks ${min_price:.2f}-${max_price:.2f} with min volume {min_volume:,}")
     
-    interval = get_interval_choice()
     start_date, end_date = get_date_range()
     
     qualified_stocks = get_qualified_stocks(start_date, end_date, min_price, max_price, min_volume)