diff --git a/precog/utils/cm_data.py b/precog/utils/cm_data.py
index 5d4b086..f1545a5 100644
--- a/precog/utils/cm_data.py
+++ b/precog/utils/cm_data.py
@@ -28,11 +28,22 @@ def get_CM_ReferenceRate(
         parallelize: bool = False,
         time_inc_parallel: pd.Timedelta = pd.Timedelta("1h"),
         **kwargs,
-    ) -> pd.DataFrame:
+    ) -> pd.DataFrame:        
         """Fetches CM Reference Rate for specific asset ticker or list of tickers from CoinMetrics Python client.
 
+        Args:
+            assets (Union[list, str]): Asset ticker or list of tickers to retrieve CM Reference Rates for
+            start (Optional[Union[datetime, date, str]], optional): Start time of data, if None will return earliest available. Defaults to None.
+            end (Optional[Union[datetime, date, str]], optional): End time of data, if None will return earliest available. Defaults to None.
+            end_inclusive (bool, optional): Whether to include a data point occuring at the "end" time. Defaults to True.
+            frequency (str, optional): Frequency of prices - '200ms', '1s', '1m', '1m', '1d'. Defaults to "1s".
+            page_size (int, optional): Page size of return, recommended 10000. Defaults to 10000.
+            parallelize (bool, optional): Whether to parallelize query into multiple queries. 
+                Can speed up retrieval but may go over usage limits. Defaults to False.
+            time_inc_parallel (pd.Timedelta, optional): If using parallelize, time interval queried by each thread. Defaults to pd.Timedelta("1h").
+
         Returns:
-            DataFrame: Reference Rate of assets over time, with columns
+            pd.DataFrame: Reference Rate of assets over time, with columns
                 ['asset', 'time', 'ReferenceRateUSD']
 
         Notes: