diff --git a/freqtrade/optimize/backtesting.py b/freqtrade/optimize/backtesting.py
index afd52b1d1..665544327 100644
--- a/freqtrade/optimize/backtesting.py
+++ b/freqtrade/optimize/backtesting.py
@@ -1433,6 +1433,12 @@ class Backtesting:
         detail_data.loc[:, "exit_tag"] = row[EXIT_TAG_IDX]
         return detail_data
 
+    def time_generator(self, start_date: datetime, end_date: datetime):
+        current_time = start_date + self.timeframe_td
+        while current_time <= end_date:
+            yield current_time
+            current_time += self.timeframe_td
+
     def time_pair_generator(
         self, start_date: datetime, end_date: datetime, increment: timedelta, pairs: list[str]
     ):
@@ -1445,14 +1451,23 @@ class Backtesting:
         self.progress.init_step(
             BacktestState.BACKTEST, int((end_date - start_date) / self.timeframe_td)
         )
-        while current_time <= end_date:
-            is_first = True
+        for current_time in self.time_generator(start_date, end_date):
+            # Loop for each time point.
+
+            self.check_abort()
+            # Reset open trade count for this candle
+            # Critical to avoid exceeding max_open_trades in backtesting
+            # when timeframe-detail is used and trades close within the opening candle.
+            LocalTrade.bt_open_open_trade_count_candle = LocalTrade.bt_open_open_trade_count
+            strategy_safe_wrapper(self.strategy.bot_loop_start, supress_error=True)(
+                current_time=current_time
+            )
+
             # Pairs that have open trades should be processed first
             new_pairlist = list(dict.fromkeys([t.pair for t in LocalTrade.bt_trades_open] + pairs))
 
             for pair in new_pairlist:
-                yield current_time, pair, is_first
-                is_first = False
+                yield current_time, pair
 
             self.progress.increment()
             current_time += increment
@@ -1482,18 +1497,9 @@ class Backtesting:
         indexes: dict = defaultdict(int)
 
         # Loop timerange and get candle for each pair at that point in time
-        for current_time, pair, is_first_call in self.time_pair_generator(
+        for current_time, pair in self.time_pair_generator(
             start_date, end_date, self.timeframe_td, list(data.keys())
         ):
-            if is_first_call:
-                self.check_abort()
-                # Reset open trade count for this candle
-                # Critical to avoid exceeding max_open_trades in backtesting
-                # when timeframe-detail is used and trades close within the opening candle.
-                LocalTrade.bt_open_open_trade_count_candle = LocalTrade.bt_open_open_trade_count
-                strategy_safe_wrapper(self.strategy.bot_loop_start, supress_error=True)(
-                    current_time=current_time
-                )
             row_index = indexes[pair]
             row = self.validate_row(data, pair, row_index, current_time)
             if not row: