Wrap in a class and set function as static

datapuller.py

@@ -1,6 +1,10 @@
 import yfinance as yf
 import pandas as pd
 
+class DataPuller:
+
+    @staticmethod
+    def pull():
         # Import the S&P 500 symbols
         symbols = pd.read_excel("./data/stock_symbols.xlsx")
         symbols.columns = symbols.columns.str.strip()
@@ -10,7 +14,7 @@ tickers = symbols['Symbol'].tolist()
         all_data = []
         for i, symbol in enumerate(tickers): # Try first 20
             print(f"Processing: {i} of {len(tickers)}")
-    df = yf.download(symbol, period="max")
+            df = yf.download(symbol, period="max", auto_adjust=True)
             if not df.empty:
                 # Remove the ticker column
                 df.columns = df.columns.get_level_values(0)