Apply isort to freqtrade codebase

freqtrade/optimize/backtesting.py

@@ -11,22 +11,21 @@ from typing import Any, Dict, List, NamedTuple, Optional, Tuple
 import arrow
 from pandas import DataFrame
 
-from freqtrade.configuration import (TimeRange, remove_credentials,
-                                     validate_config_consistency)
+from freqtrade.configuration import TimeRange, remove_credentials, validate_config_consistency
 from freqtrade.constants import DATETIME_PRINT_FORMAT
 from freqtrade.data import history
 from freqtrade.data.converter import trim_dataframe
 from freqtrade.data.dataprovider import DataProvider
 from freqtrade.exceptions import OperationalException
 from freqtrade.exchange import timeframe_to_minutes, timeframe_to_seconds
-from freqtrade.optimize.optimize_reports import (generate_backtest_stats,
-                                                 show_backtest_results,
+from freqtrade.optimize.optimize_reports import (generate_backtest_stats, show_backtest_results,
                                                  store_backtest_stats)
 from freqtrade.pairlist.pairlistmanager import PairListManager
 from freqtrade.persistence import Trade
 from freqtrade.resolvers import ExchangeResolver, StrategyResolver
 from freqtrade.strategy.interface import IStrategy, SellCheckTuple, SellType
 
+
 logger = logging.getLogger(__name__)
 
 

freqtrade/optimize/edge_cli.py

@@ -7,12 +7,12 @@ import logging
 from typing import Any, Dict
 
 from freqtrade import constants
-from freqtrade.configuration import (TimeRange, remove_credentials,
-                                     validate_config_consistency)
+from freqtrade.configuration import TimeRange, remove_credentials, validate_config_consistency
 from freqtrade.edge import Edge
 from freqtrade.optimize.optimize_reports import generate_edge_table
 from freqtrade.resolvers import ExchangeResolver, StrategyResolver
 
+
 logger = logging.getLogger(__name__)
 
 

freqtrade/optimize/hyperopt.py

@@ -21,8 +21,7 @@ import rapidjson
 import tabulate
 from colorama import Fore, Style
 from colorama import init as colorama_init
-from joblib import (Parallel, cpu_count, delayed, dump, load,
-                    wrap_non_picklable_objects)
+from joblib import Parallel, cpu_count, delayed, dump, load, wrap_non_picklable_objects
 from pandas import DataFrame, isna, json_normalize
 
 from freqtrade.constants import DATETIME_PRINT_FORMAT
@@ -33,12 +32,11 @@ from freqtrade.misc import plural, round_dict
 from freqtrade.optimize.backtesting import Backtesting
 # Import IHyperOpt and IHyperOptLoss to allow unpickling classes from these modules
 from freqtrade.optimize.hyperopt_interface import IHyperOpt  # noqa: F401
-from freqtrade.optimize.hyperopt_loss_interface import \
-    IHyperOptLoss  # noqa: F401
-from freqtrade.resolvers.hyperopt_resolver import (HyperOptLossResolver,
-                                                   HyperOptResolver)
+from freqtrade.optimize.hyperopt_loss_interface import IHyperOptLoss  # noqa: F401
+from freqtrade.resolvers.hyperopt_resolver import HyperOptLossResolver, HyperOptResolver
 from freqtrade.strategy import IStrategy
 
+
 # Suppress scikit-learn FutureWarnings from skopt
 with warnings.catch_warnings():
     warnings.filterwarnings("ignore", category=FutureWarning)

freqtrade/optimize/hyperopt_interface.py

@@ -13,6 +13,7 @@ from freqtrade.exceptions import OperationalException
 from freqtrade.exchange import timeframe_to_minutes
 from freqtrade.misc import round_dict
 
+
 logger = logging.getLogger(__name__)
 
 

freqtrade/optimize/hyperopt_loss_sharpe.py

@@ -6,8 +6,8 @@ Hyperoptimization.
 """
 from datetime import datetime
 
-from pandas import DataFrame
 import numpy as np
+from pandas import DataFrame
 
 from freqtrade.optimize.hyperopt import IHyperOptLoss
 

freqtrade/optimize/hyperopt_loss_sortino.py

@@ -6,8 +6,8 @@ Hyperoptimization.
 """
 from datetime import datetime
 
-from pandas import DataFrame
 import numpy as np
+from pandas import DataFrame
 
 from freqtrade.optimize.hyperopt import IHyperOptLoss
 

freqtrade/optimize/optimize_reports.py

@@ -4,14 +4,15 @@ from pathlib import Path
 from typing import Any, Dict, List, Union
 
 from arrow import Arrow
-from pandas import DataFrame
 from numpy import int64
+from pandas import DataFrame
 from tabulate import tabulate
 
 from freqtrade.constants import DATETIME_PRINT_FORMAT, LAST_BT_RESULT_FN
-from freqtrade.data.btanalysis import calculate_max_drawdown, calculate_market_change
+from freqtrade.data.btanalysis import calculate_market_change, calculate_max_drawdown
 from freqtrade.misc import file_dump_json
 
+
 logger = logging.getLogger(__name__)