diff --git a/app/cron_business_metrics.py b/app/cron_business_metrics.py
index bc969bf..e30d95a 100644
--- a/app/cron_business_metrics.py
+++ b/app/cron_business_metrics.py
@@ -374,7 +374,7 @@ def run(symbol):
 
     revenue_sources = []
     geography_sources = []
-    filings = Company(symbol).get_filings(form=["10-Q"]).latest(20)
+    filings = Company(symbol).get_filings(form=["10-Q","10-K"]).latest(20)
     #print(filings[0].xbrl())
 
     for i in range(0,17):
@@ -423,7 +423,7 @@ def run(symbol):
                         for old, new in replacements.items():
                             name = name.replace(old, new)
                         # Determine the target list and the name transformation logic
-                        if symbol in ['NFLX','LLY','MSFT','META','NVDA','AAPL','GME']:
+                        if symbol in ['SAVE','BA','NFLX','LLY','MSFT','META','NVDA','AAPL','GME']:
                             column_list = ["srt:ProductOrServiceAxis"]
                         else:
                             column_list = ["srt:ProductOrServiceAxis", "us-gaap:StatementBusinessSegmentsAxis"]
@@ -448,16 +448,7 @@ def run(symbol):
         ujson.dump(final_dataset, file)
 
 if __name__ == "__main__":
-    '''
-    custom_order = {
-        'HardwareAndAccessories': 4,
-        'Software': 3,
-        'Collectibles': 2,
-    }
-    run('GME', custom_order)
-    '''
-
-    for symbol in ['ADBE']: #['NFLX','PLTR','MSFT','META','TSLA','NVDA','AAPL','GME']:
-        #for AMD we need 10-K form to get geography revenue
-        run(symbol)
 
+    for symbol in []: #['SAVE','BA','ADBE','NFLX','PLTR','MSFT','META','TSLA','NVDA','AAPL','GME']:
+        #for AMD, SAVE we need 10-K form to get geography revenue
+        run(symbol)
\ No newline at end of file
diff --git a/app/cron_dashboard.py b/app/cron_dashboard.py
index bc33144..4e93fa3 100644
--- a/app/cron_dashboard.py
+++ b/app/cron_dashboard.py
@@ -182,41 +182,47 @@ async def get_upcoming_earnings(session):
 async def get_recent_earnings(session):
 	url = "https://api.benzinga.com/api/v2.1/calendar/earnings"
 	res_list = []
-	querystring = {"token": benzinga_api_key,"parameters[date_from]":yesterday,"parameters[date_to]":today,"parameters[date_sort]":"date"}
-	try:
-		async with session.get(url, params=querystring, headers=headers) as response:
-			res = ujson.loads(await response.text())['earnings']
-			for item in res:
-				try:
-					symbol = item['ticker']
-					name = item['name']
-					time = item['time']
-					eps_prior = float(item['eps_prior']) if item['eps_prior'] != '' else 0
-					eps_surprise = float(item['eps_surprise']) if item['eps_surprise'] != '' else 0
-					eps = float(item['eps']) if item['eps'] != '' else 0
-					revenue_prior = float(item['revenue_prior']) if item['revenue_prior'] != '' else 0
-					revenue_surprise = float(item['revenue_surprise']) if item['revenue_surprise'] != '' else 0
-					revenue = float(item['revenue']) if item['revenue'] != '' else 0
-					if symbol in stock_symbols and revenue != 0 and revenue_prior != 0 and eps_prior != 0 and eps != 0 and revenue_surprise != 0 and eps_surprise != 0:
-						df = pd.read_sql_query(query_template, con, params=(symbol,))
-						market_cap = float(df['marketCap'].iloc[0]) if df['marketCap'].iloc[0] != '' else 0
-						res_list.append({
-							'symbol': symbol,
-							'name': name,
-							'time': time,
-							'marketCap': market_cap,
-							'epsPrior':eps_prior,
-							'epsSurprise': eps_surprise,
-							'eps': eps,
-							'revenuePrior': revenue_prior,
-							'revenueSurprise': revenue_surprise,
-							'revenue': revenue
-							})
-				except Exception as e:
-					print('Recent Earnings:', e)
-					pass
-	except Exception as e:
-		pass
+
+	importance_list = ["1","2","3","4","5"]
+	res_list = []
+	for importance in importance_list:
+
+		querystring = {"token": benzinga_api_key,"parameters[importance]":importance, "parameters[date_from]":yesterday,"parameters[date_to]":today,"parameters[date_sort]":"date"}
+		try:
+			async with session.get(url, params=querystring, headers=headers) as response:
+				res = ujson.loads(await response.text())['earnings']
+				for item in res:
+					try:
+						symbol = item['ticker']
+						name = item['name']
+						time = item['time']
+						eps_prior = float(item['eps_prior']) if item['eps_prior'] != '' else 0
+						eps_surprise = float(item['eps_surprise']) if item['eps_surprise'] != '' else 0
+						eps = float(item['eps']) if item['eps'] != '' else 0
+						revenue_prior = float(item['revenue_prior']) if item['revenue_prior'] != '' else 0
+						revenue_surprise = float(item['revenue_surprise']) if item['revenue_surprise'] != '' else 0
+						revenue = float(item['revenue']) if item['revenue'] != '' else 0
+						if symbol in stock_symbols and revenue != 0 and revenue_prior != 0 and eps_prior != 0 and eps != 0 and revenue_surprise != 0 and eps_surprise != 0:
+							df = pd.read_sql_query(query_template, con, params=(symbol,))
+							market_cap = float(df['marketCap'].iloc[0]) if df['marketCap'].iloc[0] != '' else 0
+							res_list.append({
+								'symbol': symbol,
+								'name': name,
+								'time': time,
+								'marketCap': market_cap,
+								'epsPrior':eps_prior,
+								'epsSurprise': eps_surprise,
+								'eps': eps,
+								'revenuePrior': revenue_prior,
+								'revenueSurprise': revenue_surprise,
+								'revenue': revenue
+								})
+					except Exception as e:
+						print('Recent Earnings:', e)
+						pass
+		except Exception as e:
+			pass
+
 	res_list = remove_duplicates(res_list)
 	#res_list.sort(key=lambda x: x['marketCap'], reverse=True)
 	res_list.sort(key=lambda x: (-parse_time(x['time']).timestamp(), -x['marketCap']))