diff --git a/freqtrade/strategy/interface.py b/freqtrade/strategy/interface.py
index 8ec46c91b..70d656199 100644
--- a/freqtrade/strategy/interface.py
+++ b/freqtrade/strategy/interface.py
@@ -614,8 +614,8 @@ class IStrategy(ABC, HyperStrategyMixin):
         """
         return df
 
-    def feature_engineering_expand_all(self, dataframe: DataFrame,
-                                       period: int, **kwargs):
+    def feature_engineering_expand_all(self, dataframe: DataFrame, period: int,
+                                       metadata: Dict, **kwargs):
         """
         *Only functional with FreqAI enabled strategies*
         This function will automatically expand the defined features on the config defined
@@ -634,14 +634,14 @@ class IStrategy(ABC, HyperStrategyMixin):
 
         https://www.freqtrade.io/en/latest/freqai-feature-engineering/#defining-the-features
 
-        :param df: strategy dataframe which will receive the features
+        :param dataframe: strategy dataframe which will receive the features
         :param period: period of the indicator - usage example:
         :param metadata: metadata of current pair
         dataframe["%-ema-period"] = ta.EMA(dataframe, timeperiod=period)
         """
         return dataframe
 
-    def feature_engineering_expand_basic(self, dataframe: DataFrame, **kwargs):
+    def feature_engineering_expand_basic(self, dataframe: DataFrame, metadata: Dict, **kwargs):
         """
         *Only functional with FreqAI enabled strategies*
         This function will automatically expand the defined features on the config defined
@@ -663,14 +663,14 @@ class IStrategy(ABC, HyperStrategyMixin):
 
         https://www.freqtrade.io/en/latest/freqai-feature-engineering/#defining-the-features
 
-        :param df: strategy dataframe which will receive the features
+        :param dataframe: strategy dataframe which will receive the features
         :param metadata: metadata of current pair
         dataframe["%-pct-change"] = dataframe["close"].pct_change()
         dataframe["%-ema-200"] = ta.EMA(dataframe, timeperiod=200)
         """
         return dataframe
 
-    def feature_engineering_standard(self, dataframe: DataFrame, **kwargs):
+    def feature_engineering_standard(self, dataframe: DataFrame, metadata: Dict, **kwargs):
         """
         *Only functional with FreqAI enabled strategies*
         This optional function will be called once with the dataframe of the base timeframe.
@@ -688,13 +688,13 @@ class IStrategy(ABC, HyperStrategyMixin):
 
         https://www.freqtrade.io/en/latest/freqai-feature-engineering
 
-        :param df: strategy dataframe which will receive the features
+        :param dataframe: strategy dataframe which will receive the features
         :param metadata: metadata of current pair
         usage example: dataframe["%-day_of_week"] = (dataframe["date"].dt.dayofweek + 1) / 7
         """
         return dataframe
 
-    def set_freqai_targets(self, dataframe, **kwargs):
+    def set_freqai_targets(self, dataframe: DataFrame, metadata: Dict, **kwargs):
         """
         *Only functional with FreqAI enabled strategies*
         Required function to set the targets for the model.
@@ -704,7 +704,7 @@ class IStrategy(ABC, HyperStrategyMixin):
 
         https://www.freqtrade.io/en/latest/freqai-feature-engineering
 
-        :param df: strategy dataframe which will receive the targets
+        :param dataframe: strategy dataframe which will receive the targets
         :param metadata: metadata of current pair
         usage example: dataframe["&-target"] = dataframe["close"].shift(-1) / dataframe["close"]
         """
diff --git a/freqtrade/templates/FreqaiExampleHybridStrategy.py b/freqtrade/templates/FreqaiExampleHybridStrategy.py
index c5dbe8dbd..ee574fda3 100644
--- a/freqtrade/templates/FreqaiExampleHybridStrategy.py
+++ b/freqtrade/templates/FreqaiExampleHybridStrategy.py
@@ -1,4 +1,5 @@
 import logging
+from typing import Dict
 
 import numpy as np
 import pandas as pd
@@ -95,7 +96,8 @@ class FreqaiExampleHybridStrategy(IStrategy):
     short_rsi = IntParameter(low=51, high=100, default=70, space='sell', optimize=True, load=True)
     exit_short_rsi = IntParameter(low=1, high=50, default=30, space='buy', optimize=True, load=True)
 
-    def feature_engineering_expand_all(self, dataframe, period, **kwargs):
+    def feature_engineering_expand_all(self, dataframe: DataFrame, period: int,
+                                       metadata: Dict, **kwargs):
         """
         *Only functional with FreqAI enabled strategies*
         This function will automatically expand the defined features on the config defined
@@ -114,8 +116,9 @@ class FreqaiExampleHybridStrategy(IStrategy):
 
         https://www.freqtrade.io/en/latest/freqai-feature-engineering/#defining-the-features
 
-        :param df: strategy dataframe which will receive the features
+        :param dataframe: strategy dataframe which will receive the features
         :param period: period of the indicator - usage example:
+        :param metadata: metadata of current pair
         dataframe["%-ema-period"] = ta.EMA(dataframe, timeperiod=period)
         """
 
@@ -148,7 +151,7 @@ class FreqaiExampleHybridStrategy(IStrategy):
 
         return dataframe
 
-    def feature_engineering_expand_basic(self, dataframe, **kwargs):
+    def feature_engineering_expand_basic(self, dataframe: DataFrame, metadata: Dict, **kwargs):
         """
         *Only functional with FreqAI enabled strategies*
         This function will automatically expand the defined features on the config defined
@@ -170,7 +173,8 @@ class FreqaiExampleHybridStrategy(IStrategy):
 
         https://www.freqtrade.io/en/latest/freqai-feature-engineering/#defining-the-features
 
-        :param df: strategy dataframe which will receive the features
+        :param dataframe: strategy dataframe which will receive the features
+        :param metadata: metadata of current pair
         dataframe["%-pct-change"] = dataframe["close"].pct_change()
         dataframe["%-ema-200"] = ta.EMA(dataframe, timeperiod=200)
         """
@@ -179,7 +183,7 @@ class FreqaiExampleHybridStrategy(IStrategy):
         dataframe["%-raw_price"] = dataframe["close"]
         return dataframe
 
-    def feature_engineering_standard(self, dataframe, **kwargs):
+    def feature_engineering_standard(self, dataframe: DataFrame, metadata: Dict, **kwargs):
         """
         *Only functional with FreqAI enabled strategies*
         This optional function will be called once with the dataframe of the base timeframe.
@@ -197,14 +201,15 @@ class FreqaiExampleHybridStrategy(IStrategy):
 
         https://www.freqtrade.io/en/latest/freqai-feature-engineering
 
-        :param df: strategy dataframe which will receive the features
+        :param dataframe: strategy dataframe which will receive the features
+        :param metadata: metadata of current pair
         usage example: dataframe["%-day_of_week"] = (dataframe["date"].dt.dayofweek + 1) / 7
         """
         dataframe["%-day_of_week"] = dataframe["date"].dt.dayofweek
         dataframe["%-hour_of_day"] = dataframe["date"].dt.hour
         return dataframe
 
-    def set_freqai_targets(self, dataframe, **kwargs):
+    def set_freqai_targets(self, dataframe: DataFrame, metadata: Dict, **kwargs):
         """
         *Only functional with FreqAI enabled strategies*
         Required function to set the targets for the model.
@@ -214,7 +219,8 @@ class FreqaiExampleHybridStrategy(IStrategy):
 
         https://www.freqtrade.io/en/latest/freqai-feature-engineering
 
-        :param df: strategy dataframe which will receive the targets
+        :param dataframe: strategy dataframe which will receive the targets
+        :param metadata: metadata of current pair
         usage example: dataframe["&-target"] = dataframe["close"].shift(-1) / dataframe["close"]
         """
         dataframe['&s-up_or_down'] = np.where(dataframe["close"].shift(-50) >
diff --git a/freqtrade/templates/FreqaiExampleStrategy.py b/freqtrade/templates/FreqaiExampleStrategy.py
index acf6cfde6..0093c7f7a 100644
--- a/freqtrade/templates/FreqaiExampleStrategy.py
+++ b/freqtrade/templates/FreqaiExampleStrategy.py
@@ -1,5 +1,6 @@
 import logging
 from functools import reduce
+from typing import Dict
 
 import talib.abstract as ta
 from pandas import DataFrame
@@ -46,7 +47,8 @@ class FreqaiExampleStrategy(IStrategy):
     std_dev_multiplier_sell = CategoricalParameter(
         [0.75, 1, 1.25, 1.5, 1.75], space="sell", default=1.25, optimize=True)
 
-    def feature_engineering_expand_all(self, dataframe, period, metadata, **kwargs):
+    def feature_engineering_expand_all(self, dataframe: DataFrame, period: int,
+                                       metadata: Dict, **kwargs):
         """
         *Only functional with FreqAI enabled strategies*
         This function will automatically expand the defined features on the config defined
@@ -69,8 +71,9 @@ class FreqaiExampleStrategy(IStrategy):
 
         https://www.freqtrade.io/en/latest/freqai-feature-engineering/#defining-the-features
 
-        :param df: strategy dataframe which will receive the features
+        :param dataframe: strategy dataframe which will receive the features
         :param period: period of the indicator - usage example:
+        :param metadata: metadata of current pair
         dataframe["%-ema-period"] = ta.EMA(dataframe, timeperiod=period)
         """
 
@@ -103,7 +106,7 @@ class FreqaiExampleStrategy(IStrategy):
 
         return dataframe
 
-    def feature_engineering_expand_basic(self, dataframe, metadata, **kwargs):
+    def feature_engineering_expand_basic(self, dataframe: DataFrame, metadata: Dict, **kwargs):
         """
         *Only functional with FreqAI enabled strategies*
         This function will automatically expand the defined features on the config defined
@@ -129,7 +132,8 @@ class FreqaiExampleStrategy(IStrategy):
 
         https://www.freqtrade.io/en/latest/freqai-feature-engineering/#defining-the-features
 
-        :param df: strategy dataframe which will receive the features
+        :param dataframe: strategy dataframe which will receive the features
+        :param metadata: metadata of current pair
         dataframe["%-pct-change"] = dataframe["close"].pct_change()
         dataframe["%-ema-200"] = ta.EMA(dataframe, timeperiod=200)
         """
@@ -138,7 +142,7 @@ class FreqaiExampleStrategy(IStrategy):
         dataframe["%-raw_price"] = dataframe["close"]
         return dataframe
 
-    def feature_engineering_standard(self, dataframe, metadata, **kwargs):
+    def feature_engineering_standard(self, dataframe: DataFrame, metadata: Dict, **kwargs):
         """
         *Only functional with FreqAI enabled strategies*
         This optional function will be called once with the dataframe of the base timeframe.
@@ -160,14 +164,15 @@ class FreqaiExampleStrategy(IStrategy):
 
         https://www.freqtrade.io/en/latest/freqai-feature-engineering
 
-        :param df: strategy dataframe which will receive the features
+        :param dataframe: strategy dataframe which will receive the features
+        :param metadata: metadata of current pair
         usage example: dataframe["%-day_of_week"] = (dataframe["date"].dt.dayofweek + 1) / 7
         """
         dataframe["%-day_of_week"] = dataframe["date"].dt.dayofweek
         dataframe["%-hour_of_day"] = dataframe["date"].dt.hour
         return dataframe
 
-    def set_freqai_targets(self, dataframe, metadata, **kwargs):
+    def set_freqai_targets(self, dataframe: DataFrame, metadata: Dict, **kwargs):
         """
         *Only functional with FreqAI enabled strategies*
         Required function to set the targets for the model.
@@ -181,7 +186,8 @@ class FreqaiExampleStrategy(IStrategy):
 
         https://www.freqtrade.io/en/latest/freqai-feature-engineering
 
-        :param df: strategy dataframe which will receive the targets
+        :param dataframe: strategy dataframe which will receive the targets
+        :param metadata: metadata of current pair
         usage example: dataframe["&-target"] = dataframe["close"].shift(-1) / dataframe["close"]
         """
         dataframe["&-s_close"] = (
diff --git a/tests/strategy/strats/freqai_rl_test_strat.py b/tests/strategy/strats/freqai_rl_test_strat.py
index 6fa926fc9..2bf4aaa30 100644
--- a/tests/strategy/strats/freqai_rl_test_strat.py
+++ b/tests/strategy/strats/freqai_rl_test_strat.py
@@ -1,5 +1,6 @@
 import logging
 from functools import reduce
+from typing import Dict
 
 import talib.abstract as ta
 from pandas import DataFrame
@@ -24,20 +25,21 @@ class freqai_rl_test_strat(IStrategy):
     startup_candle_count: int = 300
     can_short = False
 
-    def feature_engineering_expand_all(self, dataframe, period, **kwargs):
+    def feature_engineering_expand_all(self, dataframe: DataFrame, period: int,
+                                       metadata: Dict, **kwargs):
 
         dataframe["%-rsi-period"] = ta.RSI(dataframe, timeperiod=period)
 
         return dataframe
 
-    def feature_engineering_expand_basic(self, dataframe: DataFrame, **kwargs):
+    def feature_engineering_expand_basic(self, dataframe: DataFrame, metadata: Dict, **kwargs):
 
         dataframe["%-pct-change"] = dataframe["close"].pct_change()
         dataframe["%-raw_volume"] = dataframe["volume"]
 
         return dataframe
 
-    def feature_engineering_standard(self, dataframe, **kwargs):
+    def feature_engineering_standard(self, dataframe: DataFrame, metadata: Dict, **kwargs):
 
         dataframe["%-day_of_week"] = dataframe["date"].dt.dayofweek
         dataframe["%-hour_of_day"] = dataframe["date"].dt.hour
@@ -49,7 +51,7 @@ class freqai_rl_test_strat(IStrategy):
 
         return dataframe
 
-    def set_freqai_targets(self, dataframe, **kwargs):
+    def set_freqai_targets(self, dataframe: DataFrame, metadata: Dict, **kwargs):
 
         dataframe["&-action"] = 0
 
diff --git a/tests/strategy/strats/freqai_test_classifier.py b/tests/strategy/strats/freqai_test_classifier.py
index 02427ab59..61b9f0c37 100644
--- a/tests/strategy/strats/freqai_test_classifier.py
+++ b/tests/strategy/strats/freqai_test_classifier.py
@@ -1,5 +1,6 @@
 import logging
 from functools import reduce
+from typing import Dict
 
 import numpy as np
 import talib.abstract as ta
@@ -56,7 +57,8 @@ class freqai_test_classifier(IStrategy):
                 informative_pairs.append((pair, tf))
         return informative_pairs
 
-    def feature_engineering_expand_all(self, dataframe, period, **kwargs):
+    def feature_engineering_expand_all(self, dataframe: DataFrame, period: int,
+                                       metadata: Dict, **kwargs):
 
         dataframe["%-rsi-period"] = ta.RSI(dataframe, timeperiod=period)
         dataframe["%-mfi-period"] = ta.MFI(dataframe, timeperiod=period)
@@ -64,7 +66,7 @@ class freqai_test_classifier(IStrategy):
 
         return dataframe
 
-    def feature_engineering_expand_basic(self, dataframe: DataFrame, **kwargs):
+    def feature_engineering_expand_basic(self, dataframe: DataFrame, metadata: Dict, **kwargs):
 
         dataframe["%-pct-change"] = dataframe["close"].pct_change()
         dataframe["%-raw_volume"] = dataframe["volume"]
@@ -72,14 +74,14 @@ class freqai_test_classifier(IStrategy):
 
         return dataframe
 
-    def feature_engineering_standard(self, dataframe, **kwargs):
+    def feature_engineering_standard(self, dataframe: DataFrame, metadata: Dict, **kwargs):
 
         dataframe["%-day_of_week"] = dataframe["date"].dt.dayofweek
         dataframe["%-hour_of_day"] = dataframe["date"].dt.hour
 
         return dataframe
 
-    def set_freqai_targets(self, dataframe, **kwargs):
+    def set_freqai_targets(self, dataframe: DataFrame, metadata: Dict, **kwargs):
 
         dataframe['&s-up_or_down'] = np.where(dataframe["close"].shift(-100) >
                                               dataframe["close"], 'up', 'down')
diff --git a/tests/strategy/strats/freqai_test_multimodel_classifier_strat.py b/tests/strategy/strats/freqai_test_multimodel_classifier_strat.py
index 65f2e4540..b2ddc21e3 100644
--- a/tests/strategy/strats/freqai_test_multimodel_classifier_strat.py
+++ b/tests/strategy/strats/freqai_test_multimodel_classifier_strat.py
@@ -1,5 +1,6 @@
 import logging
 from functools import reduce
+from typing import Dict
 
 import numpy as np
 import talib.abstract as ta
@@ -43,7 +44,8 @@ class freqai_test_multimodel_classifier_strat(IStrategy):
     )
     max_roi_time_long = IntParameter(0, 800, default=400, space="sell", optimize=False, load=True)
 
-    def feature_engineering_expand_all(self, dataframe, period, **kwargs):
+    def feature_engineering_expand_all(self, dataframe: DataFrame, period: int,
+                                       metadata: Dict, **kwargs):
 
         dataframe["%-rsi-period"] = ta.RSI(dataframe, timeperiod=period)
         dataframe["%-mfi-period"] = ta.MFI(dataframe, timeperiod=period)
@@ -51,7 +53,7 @@ class freqai_test_multimodel_classifier_strat(IStrategy):
 
         return dataframe
 
-    def feature_engineering_expand_basic(self, dataframe: DataFrame, **kwargs):
+    def feature_engineering_expand_basic(self, dataframe: DataFrame, metadata: Dict, **kwargs):
 
         dataframe["%-pct-change"] = dataframe["close"].pct_change()
         dataframe["%-raw_volume"] = dataframe["volume"]
@@ -59,14 +61,14 @@ class freqai_test_multimodel_classifier_strat(IStrategy):
 
         return dataframe
 
-    def feature_engineering_standard(self, dataframe, **kwargs):
+    def feature_engineering_standard(self, dataframe: DataFrame, metadata: Dict, **kwargs):
 
         dataframe["%-day_of_week"] = dataframe["date"].dt.dayofweek
         dataframe["%-hour_of_day"] = dataframe["date"].dt.hour
 
         return dataframe
 
-    def set_freqai_targets(self, dataframe, **kwargs):
+    def set_freqai_targets(self, dataframe: DataFrame, metadata: Dict, **kwargs):
 
         dataframe['&s-up_or_down'] = np.where(dataframe["close"].shift(-50) >
                                               dataframe["close"], 'up', 'down')
diff --git a/tests/strategy/strats/freqai_test_multimodel_strat.py b/tests/strategy/strats/freqai_test_multimodel_strat.py
index 5c9712629..5b09598a5 100644
--- a/tests/strategy/strats/freqai_test_multimodel_strat.py
+++ b/tests/strategy/strats/freqai_test_multimodel_strat.py
@@ -1,5 +1,6 @@
 import logging
 from functools import reduce
+from typing import Dict
 
 import talib.abstract as ta
 from pandas import DataFrame
@@ -42,7 +43,8 @@ class freqai_test_multimodel_strat(IStrategy):
     )
     max_roi_time_long = IntParameter(0, 800, default=400, space="sell", optimize=False, load=True)
 
-    def feature_engineering_expand_all(self, dataframe, period, **kwargs):
+    def feature_engineering_expand_all(self, dataframe: DataFrame, period: int,
+                                       metadata: Dict, **kwargs):
 
         dataframe["%-rsi-period"] = ta.RSI(dataframe, timeperiod=period)
         dataframe["%-mfi-period"] = ta.MFI(dataframe, timeperiod=period)
@@ -50,7 +52,7 @@ class freqai_test_multimodel_strat(IStrategy):
 
         return dataframe
 
-    def feature_engineering_expand_basic(self, dataframe: DataFrame, **kwargs):
+    def feature_engineering_expand_basic(self, dataframe: DataFrame, metadata: Dict, **kwargs):
 
         dataframe["%-pct-change"] = dataframe["close"].pct_change()
         dataframe["%-raw_volume"] = dataframe["volume"]
@@ -58,14 +60,14 @@ class freqai_test_multimodel_strat(IStrategy):
 
         return dataframe
 
-    def feature_engineering_standard(self, dataframe, **kwargs):
+    def feature_engineering_standard(self, dataframe: DataFrame, metadata: Dict, **kwargs):
 
         dataframe["%-day_of_week"] = dataframe["date"].dt.dayofweek
         dataframe["%-hour_of_day"] = dataframe["date"].dt.hour
 
         return dataframe
 
-    def set_freqai_targets(self, dataframe, **kwargs):
+    def set_freqai_targets(self, dataframe: DataFrame, metadata: Dict, **kwargs):
 
         dataframe["&-s_close"] = (
             dataframe["close"]
diff --git a/tests/strategy/strats/freqai_test_strat.py b/tests/strategy/strats/freqai_test_strat.py
index b52c95908..6db308406 100644
--- a/tests/strategy/strats/freqai_test_strat.py
+++ b/tests/strategy/strats/freqai_test_strat.py
@@ -1,5 +1,6 @@
 import logging
 from functools import reduce
+from typing import Dict
 
 import talib.abstract as ta
 from pandas import DataFrame
@@ -42,7 +43,8 @@ class freqai_test_strat(IStrategy):
     )
     max_roi_time_long = IntParameter(0, 800, default=400, space="sell", optimize=False, load=True)
 
-    def feature_engineering_expand_all(self, dataframe, period, **kwargs):
+    def feature_engineering_expand_all(self, dataframe: DataFrame, period: int,
+                                       metadata: Dict, **kwargs):
 
         dataframe["%-rsi-period"] = ta.RSI(dataframe, timeperiod=period)
         dataframe["%-mfi-period"] = ta.MFI(dataframe, timeperiod=period)
@@ -50,7 +52,7 @@ class freqai_test_strat(IStrategy):
 
         return dataframe
 
-    def feature_engineering_expand_basic(self, dataframe: DataFrame, **kwargs):
+    def feature_engineering_expand_basic(self, dataframe: DataFrame, metadata: Dict, **kwargs):
 
         dataframe["%-pct-change"] = dataframe["close"].pct_change()
         dataframe["%-raw_volume"] = dataframe["volume"]
@@ -58,14 +60,14 @@ class freqai_test_strat(IStrategy):
 
         return dataframe
 
-    def feature_engineering_standard(self, dataframe, **kwargs):
+    def feature_engineering_standard(self, dataframe: DataFrame, metadata: Dict, **kwargs):
 
         dataframe["%-day_of_week"] = dataframe["date"].dt.dayofweek
         dataframe["%-hour_of_day"] = dataframe["date"].dt.hour
 
         return dataframe
 
-    def set_freqai_targets(self, dataframe, **kwargs):
+    def set_freqai_targets(self, dataframe: DataFrame, metadata: Dict, **kwargs):
 
         dataframe["&-s_close"] = (
             dataframe["close"]