diff --git a/openbb_terminal/stocks/comparison_analysis/finviz_compare_model.py b/openbb_terminal/stocks/comparison_analysis/finviz_compare_model.py
index 04b877bb585..267875464e3 100644
--- a/openbb_terminal/stocks/comparison_analysis/finviz_compare_model.py
+++ b/openbb_terminal/stocks/comparison_analysis/finviz_compare_model.py
@@ -88,5 +88,8 @@ def get_comparison_data(data_type: str, similar: List[str]):
     try:
         return screen.screener_view(verbose=0)
     except IndexError:
-        console.print("[red]Invalid data from website[red]")
+        console.print("[red]Invalid data from website[red]\n")
+        return pd.DataFrame()
+    except AttributeError:
+        console.print("[red]Invalid data from website[red]\n")
         return pd.DataFrame()
diff --git a/openbb_terminal/stocks/options/syncretism_view.py b/openbb_terminal/stocks/options/syncretism_view.py
index 422cefc847d..4d150e1a817 100644
--- a/openbb_terminal/stocks/options/syncretism_view.py
+++ b/openbb_terminal/stocks/options/syncretism_view.py
@@ -165,6 +165,9 @@ def view_historical_greeks(
     ax.set_title(
         f"{(greek).capitalize()} historical for {ticker.upper()} {strike} {['Call','Put'][put]}"
     )
+    if df.empty:
+        console.print("[red]Data from API is not valid.[/red]\n")
+        return
     ax.set_xlim(df.index[0], df.index[-1])
     ims = im1 + im2
     labels = [lab.get_label() for lab in ims]
diff --git a/openbb_terminal/stocks/screener/finviz_model.py b/openbb_terminal/stocks/screener/finviz_model.py
index 163706c4ed6..5a5224ecf6c 100644
--- a/openbb_terminal/stocks/screener/finviz_model.py
+++ b/openbb_terminal/stocks/screener/finviz_model.py
@@ -105,6 +105,9 @@ def get_screener_data(preset_loaded: str, data_type: str, limit: int, ascend: bo
         except IndexError:
             console.print("[red]Invalid data provided by the website[/red]\n")
             return pd.DataFrame()
+        except AttributeError:
+            console.print("[red]Invalid data provided by the website[/red]\n")
+            return pd.DataFrame()
 
     else:
         preset_filter = configparser.RawConfigParser()