diff --git a/openbb_terminal/reports/templates/equity.ipynb b/openbb_terminal/reports/templates/equity.ipynb
index a4e7d1cf8c0..2757330bc7f 100644
--- a/openbb_terminal/reports/templates/equity.ipynb
+++ b/openbb_terminal/reports/templates/equity.ipynb
@@ -134,10 +134,15 @@
    "source": [
     "info = openbb.stocks.fa.info(symbol=symbol).transpose()\n",
     "\n",
-    "if info[\"Long business summary\"][0] != \"NA\":\n",
-    "    overview = info[\"Long business summary\"][0]\n",
+    "long_summary = \"Long business summary\"\n",
+    "long_name = \"Long name\"\n",
+    "\n",
+    "if long_summary in info and info[long_summary][0] != \"NA\":\n",
+    "    overview = info[long_summary][0]\n",
+    "elif long_name in info:\n",
+    "    overview = info[long_name][0]\n",
     "else:\n",
-    "    overview = info[\"Long name\"][0]"
+    "    overview = \"\""
    ]
   },
   {
@@ -181,7 +186,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "tables = openbb.etf.news(info[\"Short name\"][0], 5)\n",
+    "tables = openbb.etf.news(info[\"Short name\"][0], 5) if \"Short name\" in info else []\n",
     "for table in tables:\n",
     "    table[0].loc[\"link\"] = (\n",
     "        table[0].loc[\"link\"].apply(lambda x: f'<a href=\"{x}\">{x}</a>')\n",
@@ -195,7 +200,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "quote_data = openbb.stocks.quote_fmp(symbol)\n",
+    "quote_data = openbb.stocks.quote(symbol)\n",
     "quote_data"
    ]
   },
@@ -240,9 +245,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "df_sec_filings = openbb.stocks.fa.sec(symbol=symbol)[[\"Type\", \"Category\", \"Link\"]].head(\n",
-    "    5\n",
-    ")\n",
+    "df_sec_filings = openbb.stocks.fa.sec(symbol)[[\"Type\", \"Category\", \"Link\"]].head(5)\n",
     "df_sec_filings[\"Link\"] = df_sec_filings[\"Link\"].apply(\n",
     "    lambda x: f'<a href=\"{x}\">{x}</a>'\n",
     ")\n",
@@ -1195,7 +1198,7 @@
     "            \"Buffet Score is neutral\",\n",
     "            \"Buffet Score is favourable\",\n",
     "        ],\n",
-    "        float(score[\"Total Score\"], 2),\n",
+    "        float(round(score[\"Total Score\"], 2)),\n",
     "    )\n",
     "if predictions:\n",
     "    htmlcode += widgets.kpi(\n",
@@ -1208,7 +1211,9 @@
     "    )\n",
     "body += widgets.add_tab(\"SUMMARY\", htmlcode)\n",
     "\n",
-    "htmlcode = widgets.row([widgets.h(3, \"Description\") + widgets.p(overview)])\n",
+    "htmlcode=\"\"\n",
+    "if overview:\n",
+    "    htmlcode += widgets.row([widgets.h(3, \"Description\") + widgets.p(overview)])\n",
     "htmlcode += widgets.row([widgets.h(3, \"Price Chart\") + price_chart])\n",
     "htmlcode += widgets.row([widgets.h(3, \"Quote\") + quote_data.to_html()])\n",
     "htmlcode += widgets.row([widgets.h(3, \"Latest News for \" + symbol)])\n",
@@ -1466,7 +1471,7 @@
  "metadata": {
   "celltoolbar": "Tags",
   "kernelspec": {
-   "display_name": "obb",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -1480,11 +1485,11 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.6"
+   "version": "3.9.13"
   },
   "vscode": {
    "interpreter": {
-    "hash": "100174a9203096c0c10fb537684ff280825ee9e252451beb8786068677204f06"
+    "hash": "af870c0f9615f5bb08692efcc9bf540319fe60e6793056508a4dab09c9fa8dda"
    }
   }
  },
diff --git a/openbb_terminal/stocks/options/nasdaq_model.py b/openbb_terminal/stocks/options/nasdaq_model.py
index f703a8b3ee3..5c508308bd6 100644
--- a/openbb_terminal/stocks/options/nasdaq_model.py
+++ b/openbb_terminal/stocks/options/nasdaq_model.py
@@ -176,12 +176,12 @@ def option_expirations(symbol: str) -> List[str]:
         List of expiration dates
     """
     df = get_full_option_chain(symbol)
+
     if df.empty:
         return []
+
     # get everything that is not an empty string
-    exps = [exp for exp in list(df.expirygroup.unique()) if exp]
-    # Convert 'January 11, 1993' into '1993-01-11'
-    return [datetime.strptime(exp, "%B %d, %Y").strftime("%Y-%m-%d") for exp in exps]
+    return [exp for exp in list(df.expiration.unique()) if exp]
 
 
 @log_start_end(log=logger)