diff --git a/openbb_terminal/core/plots/plotly_helper.py b/openbb_terminal/core/plots/plotly_helper.py
index 09f8eceeb55..0fa0d73cae6 100644
--- a/openbb_terminal/core/plots/plotly_helper.py
+++ b/openbb_terminal/core/plots/plotly_helper.py
@@ -1300,9 +1300,10 @@ class OpenBBFigure(go.Figure):
                             "col": col,
                             "secondary_y": secondary_y,
                         }
-                        self._subplot_xdates.setdefault(row, {}).setdefault(
-                            col, []
-                        ).append(trace.x)
+                        if trace.type != "scatter":
+                            self._subplot_xdates.setdefault(row, {}).setdefault(
+                                col, []
+                            ).append(trace.x)
 
         # We convert the dateindex to a list of datetime objects if it's a numpy array
         if output is not None and isinstance(output[0], np.datetime64):
@@ -1350,7 +1351,8 @@ class OpenBBFigure(go.Figure):
         rangebreaks: List[Dict[str, Any]] = [dict(values=dt_missing_days)]
 
         # We get the frequency of the data to hide intra-day gaps
-        if (freq := df_data.index[1] - df_data.index[0]).days == 0:
+        if df_data.index[-1].time() != df_data.index[-2].time():
+            freq = df_data.index[1] - df_data.index[0]
             freq_mins = int(freq.seconds / 60)
             break_values = (
                 df_data.resample(f"{freq_mins}T")
diff --git a/openbb_terminal/economy/fedreserve_view.py b/openbb_terminal/economy/fedreserve_view.py
index f205256067e..cd24cdcd41d 100644
--- a/openbb_terminal/economy/fedreserve_view.py
+++ b/openbb_terminal/economy/fedreserve_view.py
@@ -83,9 +83,10 @@ def show_treasuries(
     )
 
     for col in treasury_data.columns:
+        non_nan = treasury_data[col].notna()
         fig.add_scatter(
-            x=treasury_data.index,
-            y=treasury_data[col],
+            x=treasury_data.index[non_nan],
+            y=treasury_data[col][non_nan],
             mode="lines",
             name=col.replace("m", " Month").replace("y", " Year"),
         )
diff --git a/openbb_terminal/economy/fred_model.py b/openbb_terminal/economy/fred_model.py
index 597c3d8f2fb..153ee30e956 100644
--- a/openbb_terminal/economy/fred_model.py
+++ b/openbb_terminal/economy/fred_model.py
@@ -418,9 +418,9 @@ def get_usd_liquidity(overlay: str = "", show: bool = False) -> pd.DataFrame:
         )
 
     data = pd.DataFrame()
-    data["WALCL"] = get_series_data("WALCL").astype(int) * 1000000
-    data["WLRRAL"] = get_series_data("WLRRAL").astype(int) * 1000000
-    data["WDTGAL"] = get_series_data("WDTGAL").astype(int) * 1000000
+    data["WALCL"] = get_series_data("WALCL").astype("int64") * 1000000
+    data["WLRRAL"] = get_series_data("WLRRAL").astype("int64") * 1000000
+    data["WDTGAL"] = get_series_data("WDTGAL").astype("int64") * 1000000
     data["USD Liquidity Index (Billions of USD)"] = round(
         (data["WALCL"] - data["WLRRAL"] - data["WDTGAL"]) / 1000000000, 2
     )