The date is an index so not important

WebServer/AIPython/datapuller.py

@@ -22,7 +22,7 @@ def pull():
             # Remove the ticker column
             df.columns = df.columns.get_level_values(0)
             
-            # Make sure Date is actually a Date Object
+            # Make sure Date is a number object
             df = df.reset_index()
             df['Date'] = pd.to_numeric(pd.to_datetime(df['Date']))
 
@@ -47,8 +47,7 @@ def pull():
     print("Processing data")
     final_df = pd.concat(all_data)
 
-    # Nomralize the Date
-    final_df['Date'] = (final_df['Date'] - final_df['Date'].min()) / (final_df['Date'].max() - final_df['Date'].min())
+    # Make date the index so it doesnt influence the training
     final_df.set_index('Date', inplace=True)
 
     # Drop rows with null values