diff --git a/scripts/dump_bin.py b/scripts/dump_bin.py
index b3a18cc90..83daa28bc 100644
--- a/scripts/dump_bin.py
+++ b/scripts/dump_bin.py
@@ -401,6 +401,8 @@ class DumpDataUpdate(DumpDataBase):
         )
         self._mode = self.UPDATE_MODE
         self._old_calendar_list = self._read_calendars(self._calendars_dir.joinpath(f"{self.freq}.txt"))
+        # NOTE: all.txt only exists once for each stock
+        # NOTE: if a stock corresponds to multiple different time ranges, user need to modify self._update_instruments
         self._update_instruments = (
             self._read_instruments(self._instruments_dir.joinpath(self.INSTRUMENTS_FILE_NAME))
             .set_index([self.symbol_field_name])
@@ -409,10 +411,9 @@ class DumpDataUpdate(DumpDataBase):
 
         # load all csv files
         self._all_data = self._load_all_source_data()  # type: pd.DataFrame
-        self._update_calendars = sorted(
+        self._new_calendar_list = self._old_calendar_list + sorted(
             filter(lambda x: x > self._old_calendar_list[-1], self._all_data[self.date_field_name].unique())
         )
-        self._new_calendar_list = self._old_calendar_list + self._update_calendars
 
     def _load_all_source_data(self):
         # NOTE: Need more memory
@@ -452,8 +453,16 @@ class DumpDataUpdate(DumpDataBase):
                 if not (isinstance(_start, pd.Timestamp) and isinstance(_end, pd.Timestamp)):
                     continue
                 if _code in self._update_instruments:
+                    # exists stock, will append data
+                    _update_calendars = (
+                        _df[_df[self.date_field_name] > self._update_instruments[_code][self.INSTRUMENTS_START_FIELD]][
+                            self.date_field_name
+                        ]
+                        .sort_values()
+                        .to_list()
+                    )
                     self._update_instruments[_code][self.INSTRUMENTS_END_FIELD] = self._format_datetime(_end)
-                    futures[executor.submit(self._dump_bin, _df, self._update_calendars)] = _code
+                    futures[executor.submit(self._dump_bin, _df, _update_calendars)] = _code
                 else:
                     # new stock
                     _dt_range = self._update_instruments.setdefault(_code, dict())