diff --git a/app/cron_analyst_insight.py b/app/cron_analyst_insight.py
index 8b715aa..7b6c83f 100644
--- a/app/cron_analyst_insight.py
+++ b/app/cron_analyst_insight.py
@@ -29,22 +29,36 @@ async def save_json(symbol, data):
     async with aiofiles.open(f"json/analyst/insight/{symbol}.json", 'w') as file:
         await file.write(ujson.dumps(data))
 
-# Fetch analyst insights for a specific ticker
 async def get_analyst_insight(session, ticker):
+    #there is a bug in benzinga api where the latest data can be at the second element instead the first
+    #solution check which date is the latest by comparing these two
     res_dict = {}
     try:
         querystring = {"token": benzinga_api_key, "symbols": ticker}
         async with session.get(url, params=querystring) as response:
             output = await response.json()
-            if 'analyst-insights' in output and output['analyst-insights']:
-                output = output['analyst-insights'][0]
-                res_dict = {
-                    'insight': output['analyst_insights'],
-                    'id': output['id'],
-                    'date': datetime.strptime(output['date'], "%Y-%m-%d").strftime("%b %d, %Y")
-                }
-    except:
-        pass
+            if 'analyst-insights' in output and len(output['analyst-insights']) >= 2:
+                insight_1, insight_2 = output['analyst-insights'][:2]
+                
+                # Parse dates for comparison
+                date_1 = datetime.strptime(insight_1['date'], "%Y-%m-%d")
+                date_2 = datetime.strptime(insight_2['date'], "%Y-%m-%d")
+                
+                # Choose the insight with the latest date
+                latest_insight = insight_1 if date_1 >= date_2 else insight_2
+            elif 'analyst-insights' in output and output['analyst-insights']:
+                latest_insight = output['analyst-insights'][0]  # Only one insight available
+            else:
+                return res_dict  # No insights available
+            
+            # Populate res_dict with the latest insight data
+            res_dict = {
+                'insight': latest_insight['analyst_insights'],
+                'id': latest_insight['id'],
+                'date': datetime.strptime(latest_insight['date'], "%Y-%m-%d").strftime("%b %d, %Y")
+            }
+    except Exception as e:
+        print(f"Error fetching analyst insight: {e}")
     return res_dict
 
 # Summarize insights using OpenAI