Update app.py

app.py

@@ -42,7 +42,6 @@ new_df = st.data_editor(inv_df)
 
 # New numpy array with the returns for each month in t
 A_y = new_df["Returns"].shift(1)
-
 new_y = [A]
 
 for i in range(1, len(A_y)):
@@ -54,8 +53,13 @@ new_df["Returns"] = new_y
 
 # New numpy array with the continuously compunded returns
 A_c = new_df["Continuous returns"].shift(1)
+new_y_c = [A]
+
+for i in range(1, len(A_c)):
+    r_temp = new_df["Rate"].values[i]
+    val = new_y_c[i-1] * np.exp(r_temp / (12*100))
+    new_y_c.append(val)
 
-new_y_c = A_c * np.exp(new_df["Rate"] / (12*100))
 new_df["Continuous returns"] = new_y_c
 
 st.dataframe(new_df)