handle dates better in get_historical_prices and deploy

lumibot/data_sources/tradier_data.py

@@ -240,9 +240,12 @@ def get_historical_prices(
         if "timestamp" in df.columns:
             df = df.drop(columns=["timestamp"])
 
-        # if type of index is date, convert it to timestamp with timezone info of "America/New_York"
-        if isinstance(df.index[0], date):
-            df.index = pd.to_datetime(df.index).tz_localize("America/New_York")
+        # Check if the index contains dates and handle timezone
+        if isinstance(df.index[0], date):  # Check if index contains date objects
+            if df.index.tz is None:  # Check if the index is timezone-naive
+                df.index = pd.to_datetime(df.index).tz_localize("America/New_York")
+            else:  # If the index is already timezone-aware
+                df.index = df.index.tz_convert("America/New_York")
 
         # Convert the dataframe to a Bars object
         bars = Bars(df, self.SOURCE, asset, raw=df, quote=quote)

setup.py

@@ -5,7 +5,7 @@
 
 setuptools.setup(
     name="lumibot",
-    version="3.8.18",
+    version="3.8.19",
     author="Robert Grzesik",
     author_email="[email protected]",
     description="Backtesting and Trading Library, Made by Lumiwealth",