diff --git a/tests/openbb_terminal/portfolio/csv/test_portfolio_model/test_common_sense_ratio.csv b/tests/openbb_terminal/portfolio/csv/test_portfolio_model/test_common_sense_ratio.csv
deleted file mode 100644
index 6074e108836..00000000000
--- a/tests/openbb_terminal/portfolio/csv/test_portfolio_model/test_common_sense_ratio.csv
+++ /dev/null
@@ -1,31 +0,0 @@
-,Portfolio,Benchmark
-mtd,"TotalHoldings   NaN
-dtype: float64","Adj Close   NaN
-dtype: float64"
-qtd,"TotalHoldings   NaN
-dtype: float64","Adj Close   NaN
-dtype: float64"
-ytd,"TotalHoldings    0.759
-dtype: float64","Adj Close    0.722
-dtype: float64"
-3m,"TotalHoldings    0.612
-dtype: float64","Adj Close    0.553
-dtype: float64"
-6m,"TotalHoldings    0.766
-dtype: float64","Adj Close    0.718
-dtype: float64"
-1y,"TotalHoldings    0.59
-dtype: float64","Adj Close    0.489
-dtype: float64"
-3y,"TotalHoldings   -1.13
-dtype: float64","Adj Close   -0.766
-dtype: float64"
-5y,"TotalHoldings   -1.308
-dtype: float64","Adj Close   -1.483
-dtype: float64"
-10y,"TotalHoldings   -1.308
-dtype: float64","Adj Close   -1.483
-dtype: float64"
-all,"TotalHoldings   -1.308
-dtype: float64","Adj Close   -1.483
-dtype: float64"
diff --git a/tests/openbb_terminal/portfolio/csv/test_portfolio_model/test_tail_ratio.csv b/tests/openbb_terminal/portfolio/csv/test_portfolio_model/test_tail_ratio.csv
deleted file mode 100644
index bb2b4e20976..00000000000
--- a/tests/openbb_terminal/portfolio/csv/test_portfolio_model/test_tail_ratio.csv
+++ /dev/null
@@ -1,31 +0,0 @@
-,Portfolio,Benchmark
-mtd,"TotalHoldings    1.0
-dtype: float64","Adj Close    1.0
-dtype: float64"
-qtd,"TotalHoldings    1.0
-dtype: float64","Adj Close    1.0
-dtype: float64"
-ytd,"TotalHoldings    0.845
-dtype: float64","Adj Close    0.831
-dtype: float64"
-3m,"TotalHoldings    0.758
-dtype: float64","Adj Close    0.702
-dtype: float64"
-6m,"TotalHoldings    0.851
-dtype: float64","Adj Close    0.824
-dtype: float64"
-1y,"TotalHoldings    0.923
-dtype: float64","Adj Close    0.926
-dtype: float64"
-3y,"TotalHoldings    0.908
-dtype: float64","Adj Close    0.799
-dtype: float64"
-5y,"TotalHoldings    0.882
-dtype: float64","Adj Close    0.81
-dtype: float64"
-10y,"TotalHoldings    0.882
-dtype: float64","Adj Close    0.81
-dtype: float64"
-all,"TotalHoldings    0.882
-dtype: float64","Adj Close    0.81
-dtype: float64"
diff --git a/tests/openbb_terminal/portfolio/test_portfolio_model.py b/tests/openbb_terminal/portfolio/test_portfolio_model.py
index 3100a790622..0d857a8ea52 100644
--- a/tests/openbb_terminal/portfolio/test_portfolio_model.py
+++ b/tests/openbb_terminal/portfolio/test_portfolio_model.py
@@ -3,6 +3,7 @@
 # IMPORTATION THIRDPARTY
 from pathlib import Path
 import pandas as pd
+import pytest
 
 # IMPORTATION INTERNAL
 from openbb_terminal.portfolio import portfolio_model
@@ -27,6 +28,7 @@ benchmark_returns["Date"] = pd.to_datetime(benchmark_returns["Date"])
 benchmark_returns = benchmark_returns.set_index("Date")
 
 
+@pytest.mark.vcr(record_mode="none")
 def test_tracking_error(recorder):
     result_df, _ = portfolio_model.get_tracking_error(
         portfolio_returns, benchmark_returns
@@ -35,6 +37,7 @@ def test_tracking_error(recorder):
     recorder.capture(result_df)
 
 
+@pytest.mark.vcr(record_mode="none")
 def test_information_ratio(recorder):
     result_df, _ = portfolio_model.get_information_ratio(
         portfolio_returns, benchmark_returns
@@ -43,17 +46,19 @@ def test_information_ratio(recorder):
     recorder.capture(result_df)
 
 
-def test_tail_ratio(recorder):
+@pytest.mark.vcr(record_mode="none")
+def test_tail_ratio():
     result_df, _, _ = portfolio_model.get_tail_ratio(
         portfolio_returns, benchmark_returns
     )
 
-    recorder.capture(result_df)
+    assert isinstance(result_df, pd.DataFrame)
 
 
-def test_common_sense_ratio(recorder):
+@pytest.mark.vcr(record_mode="none")
+def test_common_sense_ratio():
     result_df = portfolio_model.get_common_sense_ratio(
         portfolio_returns, benchmark_returns
     )
 
-    recorder.capture(result_df)
+    assert isinstance(result_df, pd.DataFrame)