diff --git a/freqtrade/optimize/hyperopt.py b/freqtrade/optimize/hyperopt.py
index 4926bf1b3..a680d85c8 100644
--- a/freqtrade/optimize/hyperopt.py
+++ b/freqtrade/optimize/hyperopt.py
@@ -23,7 +23,6 @@ from pandas import DataFrame
 from freqtrade.constants import DATETIME_PRINT_FORMAT, LAST_BT_RESULT_FN
 from freqtrade.data.converter import trim_dataframe
 from freqtrade.data.history import get_timerange
-from freqtrade.exceptions import OperationalException
 from freqtrade.misc import file_dump_json, plural
 from freqtrade.optimize.backtesting import Backtesting
 # Import IHyperOpt and IHyperOptLoss to allow unpickling classes from these modules
diff --git a/freqtrade/optimize/hyperopt_auto.py b/freqtrade/optimize/hyperopt_auto.py
index 31a11e303..847d8697a 100644
--- a/freqtrade/optimize/hyperopt_auto.py
+++ b/freqtrade/optimize/hyperopt_auto.py
@@ -7,6 +7,8 @@ from contextlib import suppress
 from typing import Any, Callable, Dict, List
 
 from pandas import DataFrame
+
+
 with suppress(ImportError):
     from skopt.space import Dimension
 
diff --git a/freqtrade/optimize/hyperopt_interface.py b/freqtrade/optimize/hyperopt_interface.py
index 46adf55b8..561fb8e11 100644
--- a/freqtrade/optimize/hyperopt_interface.py
+++ b/freqtrade/optimize/hyperopt_interface.py
@@ -14,6 +14,7 @@ from freqtrade.exchange import timeframe_to_minutes
 from freqtrade.misc import round_dict
 from freqtrade.strategy import IStrategy
 
+
 logger = logging.getLogger(__name__)
 
 
diff --git a/freqtrade/strategy/__init__.py b/freqtrade/strategy/__init__.py
index a300c601b..bc0c45f7c 100644
--- a/freqtrade/strategy/__init__.py
+++ b/freqtrade/strategy/__init__.py
@@ -1,6 +1,6 @@
 # flake8: noqa: F401
 from freqtrade.exchange import (timeframe_to_minutes, timeframe_to_msecs, timeframe_to_next_date,
                                 timeframe_to_prev_date, timeframe_to_seconds)
+from freqtrade.strategy.hyper import CategoricalParameter, FloatParameter, IntParameter
 from freqtrade.strategy.interface import IStrategy
-from freqtrade.strategy.hyper import IntParameter, FloatParameter, CategoricalParameter
 from freqtrade.strategy.strategy_helper import merge_informative_pair, stoploss_from_open
diff --git a/freqtrade/strategy/hyper.py b/freqtrade/strategy/hyper.py
index 51f937fca..32b03d57e 100644
--- a/freqtrade/strategy/hyper.py
+++ b/freqtrade/strategy/hyper.py
@@ -4,7 +4,8 @@ This module defines a base class for auto-hyperoptable strategies.
 """
 import logging
 from contextlib import suppress
-from typing import Iterator, Tuple, Any, Optional, Sequence, Union
+from typing import Any, Iterator, Optional, Sequence, Tuple, Union
+
 
 with suppress(ImportError):
     from skopt.space import Integer, Real, Categorical
@@ -58,12 +59,12 @@ class IntParameter(BaseParameter):
                  space: Optional[str] = None, enabled: bool = True, **kwargs):
         """
         Initialize hyperopt-optimizable parameter.
-        :param low: lower end of optimization space or [low, high].
-        :param high: high end of optimization space. Must be none of entire range is passed first parameter.
+        :param low: Lower end (inclusive) of optimization space or [low, high].
+        :param high: Upper end (inclusive) of optimization space.
+                     Must be none of entire range is passed first parameter.
         :param default: A default value.
         :param space: A parameter category. Can be 'buy' or 'sell'. This parameter is optional if
-         parameter field
-         name is prefixed with 'buy_' or 'sell_'.
+                      parameter fieldname is prefixed with 'buy_' or 'sell_'.
         :param kwargs: Extra parameters to skopt.space.Integer.
         """
         if high is None:
@@ -92,12 +93,12 @@ class FloatParameter(BaseParameter):
                  default: float, space: Optional[str] = None, enabled: bool = True, **kwargs):
         """
         Initialize hyperopt-optimizable parameter.
-        :param low: lower end of optimization space or [low, high].
-        :param high: high end of optimization space. Must be none of entire range is passed first parameter.
+        :param low: Lower end (inclusive) of optimization space or [low, high].
+        :param high: Upper end (inclusive) of optimization space.
+                     Must be none if entire range is passed first parameter.
         :param default: A default value.
         :param space: A parameter category. Can be 'buy' or 'sell'. This parameter is optional if
-         parameter field
-         name is prefixed with 'buy_' or 'sell_'.
+                      parameter fieldname is prefixed with 'buy_' or 'sell_'.
         :param kwargs: Extra parameters to skopt.space.Real.
         """
         if high is None: