diff --git a/syscore/pandas/frequency.py b/syscore/pandas/frequency.py
index 700f53b426..16c103581a 100644
--- a/syscore/pandas/frequency.py
+++ b/syscore/pandas/frequency.py
@@ -112,7 +112,7 @@ def merge_data_with_different_freq(
     dtype: int64
     """
 
-    list_as_concat_pd = pd.concat(list_of_data, axis=0)
+    list_as_concat_pd = pd.concat(list_of_data, axis=0)  # TODO 1463
     sorted_pd = list_as_concat_pd.sort_index()
     unique_pd = uniquets(sorted_pd)
 
diff --git a/sysdata/mongodb/mongo_margin.py b/sysdata/mongodb/mongo_margin.py
index a81cd07ebd..748f40318f 100644
--- a/sysdata/mongodb/mongo_margin.py
+++ b/sysdata/mongodb/mongo_margin.py
@@ -70,7 +70,9 @@ def from_dict_of_entries_to_margin_series(dict_of_entries: dict) -> seriesOfMarg
     ]
     list_of_values = list(dict_of_entries.values())
 
-    pd_series = pd.Series(list_of_values, index=list_of_keys_as_datetime)
+    pd_series = pd.Series(
+        list_of_values, index=list_of_keys_as_datetime, dtype="float64"
+    )
     pd_series = pd_series.sort_index()
 
     return seriesOfMargin(pd_series)
diff --git a/sysproduction/reporting/data/rolls.py b/sysproduction/reporting/data/rolls.py
index e3343c51cd..40a6048009 100644
--- a/sysproduction/reporting/data/rolls.py
+++ b/sysproduction/reporting/data/rolls.py
@@ -459,7 +459,11 @@ def last_price_data_with_matched_contracts(df_of_col_and_col_to_use):
             row_to_copy = df_of_col_and_col_to_use[
                 ["Price_to_find", "Price_infer_from"]
             ].iloc[data_row_idx]
-            matched_df_dict = matched_df_dict.append(row_to_copy)
+
+            if matched_df_dict.empty:
+                matched_df_dict = row_to_copy
+            else:
+                matched_df_dict = pd.concat([matched_df_dict, row_to_copy])
         else:
             # We're full
             break
diff --git a/sysquant/estimators/correlations.py b/sysquant/estimators/correlations.py
index f20f7d911a..289fa0590b 100644
--- a/sysquant/estimators/correlations.py
+++ b/sysquant/estimators/correlations.py
@@ -242,11 +242,13 @@ def add_assets_with_nan_values(self, new_asset_names):
             [[np.nan] * len(new_asset_names)] * len(new_asset_names),
             columns=new_asset_names,
             index=new_asset_names,
+            dtype="float64",
         )
         l2 = pd.DataFrame(
             [[np.nan] * len(self.columns)] * len(new_asset_names),
             columns=self.columns,
             index=new_asset_names,
+            dtype="float64",
         )
         bottom_row = pd.concat([l2, r2], axis=1)
         both_rows = pd.concat([top_row, bottom_row], axis=0)
diff --git a/systems/accounts/pandl_calculators/pandl_cash_costs.py b/systems/accounts/pandl_calculators/pandl_cash_costs.py
index 0c31da1b42..46d4309db6 100644
--- a/systems/accounts/pandl_calculators/pandl_cash_costs.py
+++ b/systems/accounts/pandl_calculators/pandl_cash_costs.py
@@ -71,7 +71,9 @@ def costs_from_trading_in_instrument_currency_as_series(self) -> pd.Series:
             self.costs_from_trading_in_instrument_currency_as_list()
         )
         date_index = self.date_index_for_all_fills()
-        costs_as_pd_series = pd.Series(instrument_currency_costs_as_list, date_index)
+        costs_as_pd_series = pd.Series(
+            instrument_currency_costs_as_list, date_index, dtype="float64"
+        )
         costs_as_pd_series = costs_as_pd_series.sort_index()
         costs_as_pd_series = costs_as_pd_series.groupby(costs_as_pd_series.index).sum()