Price-jump detection should only run once

freqtrade/data/history/idatahandler.py

@@ -303,7 +303,7 @@ class IDataHandler(ABC):
             timerange=timerange_startup,
             candle_type=candle_type
         )
-        if self._check_empty_df(pairdf, pair, timeframe, candle_type, warn_no_data):
+        if self._check_empty_df(pairdf, pair, timeframe, candle_type, warn_no_data, True):
             return pairdf
         else:
             enddate = pairdf.iloc[-1]['date']
@@ -323,8 +323,9 @@ class IDataHandler(ABC):
             self._check_empty_df(pairdf, pair, timeframe, candle_type, warn_no_data)
             return pairdf
 
-    def _check_empty_df(self, pairdf: DataFrame, pair: str, timeframe: str,
-                        candle_type: CandleType, warn_no_data: bool):
+    def _check_empty_df(
+            self, pairdf: DataFrame, pair: str, timeframe: str, candle_type: CandleType,
+            warn_no_data: bool, warn_price: bool = False) -> bool:
         """
         Warn on empty dataframe
         """
@@ -335,7 +336,7 @@ class IDataHandler(ABC):
                     "Use `freqtrade download-data` to download the data"
                 )
             return True
-        else:
+        elif warn_price:
             candle_price_gap = 0
             if (candle_type in (CandleType.SPOT, CandleType.FUTURES) and
                     not pairdf.empty
@@ -346,8 +347,8 @@ class IDataHandler(ABC):
                 if len(gaps):
                     candle_price_gap = max(abs(gaps))
             if candle_price_gap > 0.1:
-                logger.info(f"Price jump in {pair} between two candles of "
-                            f"{candle_price_gap:.2%} detected.")
+                logger.info(f"Price jump in {pair}, {timeframe}, {candle_type} between two candles "
+                            f"of {candle_price_gap:.2%} detected.")
 
         return False
 

tests/data/test_datahandler.py

@@ -156,7 +156,7 @@ def test_jsondatahandler_ohlcv_load(testdatadir, caplog):
 
 def test_datahandler__check_empty_df(testdatadir, caplog):
     dh = JsonDataHandler(testdatadir)
-    expected_text = r"Price jump in UNITTEST/USDT between"
+    expected_text = r"Price jump in UNITTEST/USDT, 1h, spot between"
     df = DataFrame([
         [
             1511686200000,  # 8:50:00
@@ -192,7 +192,7 @@ def test_datahandler__check_empty_df(testdatadir, caplog):
         ]
     ], columns=['date', 'open', 'high', 'low', 'close', 'volume'])
 
-    dh._check_empty_df(df, 'UNITTEST/USDT', '1h', CandleType.SPOT, True)
+    dh._check_empty_df(df, 'UNITTEST/USDT', '1h', CandleType.SPOT, True, True)
     assert not log_has_re(expected_text, caplog)
     df = DataFrame([
         [
@@ -229,7 +229,7 @@ def test_datahandler__check_empty_df(testdatadir, caplog):
         ]
     ], columns=['date', 'open', 'high', 'low', 'close', 'volume'])
 
-    dh._check_empty_df(df, 'UNITTEST/USDT', '1h', CandleType.SPOT, True)
+    dh._check_empty_df(df, 'UNITTEST/USDT', '1h', CandleType.SPOT, True, True)
     assert log_has_re(expected_text, caplog)