diff --git a/catalyst/exchange/exchange_algorithm.py b/catalyst/exchange/exchange_algorithm.py
index bb965b58..7ec8efd2 100644
--- a/catalyst/exchange/exchange_algorithm.py
+++ b/catalyst/exchange/exchange_algorithm.py
@@ -288,7 +288,7 @@ class ExchangeTradingAlgorithmLive(ExchangeTradingAlgorithmBase):
         self.live_graph = kwargs.pop('live_graph', None)
 
         self._clock = None
-        self.minute_stats = deque(maxlen=60)
+        self.frame_stats = deque(maxlen=60)
 
         self.pnl_stats = get_algo_df(self.algo_namespace, 'pnl_stats')
 
@@ -557,8 +557,9 @@ class ExchangeTradingAlgorithmLive(ExchangeTradingAlgorithmBase):
         )
         self.exposure_stats = pd.concat([self.exposure_stats, df])
 
-        save_algo_df(self.algo_namespace, 'exposure_stats',
-                     self.exposure_stats)
+        save_algo_df(
+            self.algo_namespace, 'exposure_stats', self.exposure_stats
+        )
 
     def handle_data(self, data):
         """
@@ -575,8 +576,11 @@ class ExchangeTradingAlgorithmLive(ExchangeTradingAlgorithmBase):
         self._synchronize_portfolio()
 
         transactions = self._check_open_orders()
-        for transaction in transactions:
-            self.perf_tracker.process_transaction(transaction)
+        if len(transactions) > 0:
+            for transaction in transactions:
+                self.perf_tracker.process_transaction(transaction)
+
+            self.perf_tracker.update_performance()
 
         if self._handle_data:
             self._handle_data(self, data)
@@ -591,22 +595,22 @@ class ExchangeTradingAlgorithmLive(ExchangeTradingAlgorithmBase):
             # Performance tracker and keep only minute and cumulative
             self.perf_tracker.update_performance()
 
-            minute_stats = self.prepare_period_stats(
+            frame_stats = self.prepare_period_stats(
                 data.current_dt, data.current_dt + timedelta(minutes=1))
 
             # Saving the last hour in memory
-            self.minute_stats.append(minute_stats)
+            self.frame_stats.append(frame_stats)
 
-            self.add_pnl_stats(minute_stats)
+            self.add_pnl_stats(frame_stats)
             if self.recorded_vars:
-                self.add_custom_signals_stats(minute_stats)
+                self.add_custom_signals_stats(frame_stats)
                 recorded_cols = list(self.recorded_vars.keys())
             else:
                 recorded_cols = None
 
-            self.add_exposure_stats(minute_stats)
+            self.add_exposure_stats(frame_stats)
 
-            print_df = pd.DataFrame(list(self.minute_stats))
+            print_df = pd.DataFrame(list(self.frame_stats))
             log.info(
                 'statistics for the last {stats_minutes} minutes:\n{stats}'.format(
                     stats_minutes=self.stats_minutes,