Follow PEP 484 - no implicit optionals

freqtrade/configuration/configuration.py

@@ -28,7 +28,7 @@ class Configuration:
     Reuse this class for the bot, backtesting, hyperopt and every script that required configuration
     """
 
-    def __init__(self, args: Dict[str, Any], runmode: RunMode = None) -> None:
+    def __init__(self, args: Dict[str, Any], runmode: Optional[RunMode] = None) -> None:
         self.args = args
         self.config: Optional[Config] = None
         self.runmode = runmode

freqtrade/configuration/load_config.py

@@ -6,7 +6,7 @@ import re
 import sys
 from copy import deepcopy
 from pathlib import Path
-from typing import Any, Dict, List
+from typing import Any, Dict, List, Optional
 
 import rapidjson
 
@@ -75,7 +75,8 @@ def load_config_file(path: str) -> Dict[str, Any]:
     return config
 
 
-def load_from_files(files: List[str], base_path: Path = None, level: int = 0) -> Dict[str, Any]:
+def load_from_files(
+        files: List[str], base_path: Optional[Path] = None, level: int = 0) -> Dict[str, Any]:
     """
     Recursively load configuration files if specified.
     Sub-files are assumed to be relative to the initial config.

freqtrade/data/btanalysis.py

@@ -90,7 +90,8 @@ def get_latest_hyperopt_filename(directory: Union[Path, str]) -> str:
         return 'hyperopt_results.pickle'
 
 
-def get_latest_hyperopt_file(directory: Union[Path, str], predef_filename: str = None) -> Path:
+def get_latest_hyperopt_file(
+        directory: Union[Path, str], predef_filename: Optional[str] = None) -> Path:
     """
     Get latest hyperopt export based on '.last_result.json'.
     :param directory: Directory to search for last result
@@ -193,7 +194,7 @@ def get_backtest_resultlist(dirname: Path):
 
 
 def find_existing_backtest_stats(dirname: Union[Path, str], run_ids: Dict[str, str],
-                                 min_backtest_date: datetime = None) -> Dict[str, Any]:
+                                 min_backtest_date: Optional[datetime] = None) -> Dict[str, Any]:
     """
     Find existing backtest stats that match specified run IDs and load them.
     :param dirname: pathlib.Path object, or string pointing to the file.

freqtrade/data/dataprovider.py

@@ -281,7 +281,7 @@ class DataProvider:
     def historic_ohlcv(
         self,
         pair: str,
-        timeframe: str = None,
+        timeframe: Optional[str] = None,
         candle_type: str = ''
     ) -> DataFrame:
         """
@@ -333,7 +333,7 @@ class DataProvider:
     def get_pair_dataframe(
         self,
         pair: str,
-        timeframe: str = None,
+        timeframe: Optional[str] = None,
         candle_type: str = ''
     ) -> DataFrame:
         """
@@ -415,7 +415,7 @@ class DataProvider:
 
     def refresh(self,
                 pairlist: ListPairsWithTimeframes,
-                helping_pairs: ListPairsWithTimeframes = None) -> None:
+                helping_pairs: Optional[ListPairsWithTimeframes] = None) -> None:
         """
         Refresh data, called with each cycle
         """
@@ -439,7 +439,7 @@ class DataProvider:
     def ohlcv(
         self,
         pair: str,
-        timeframe: str = None,
+        timeframe: Optional[str] = None,
         copy: bool = True,
         candle_type: str = ''
     ) -> DataFrame:

freqtrade/data/history/history_utils.py

@@ -28,8 +28,8 @@ def load_pair_history(pair: str,
                       fill_up_missing: bool = True,
                       drop_incomplete: bool = False,
                       startup_candles: int = 0,
-                      data_format: str = None,
-                      data_handler: IDataHandler = None,
+                      data_format: Optional[str] = None,
+                      data_handler: Optional[IDataHandler] = None,
                       candle_type: CandleType = CandleType.SPOT
                       ) -> DataFrame:
     """
@@ -69,7 +69,7 @@ def load_data(datadir: Path,
               fail_without_data: bool = False,
               data_format: str = 'json',
               candle_type: CandleType = CandleType.SPOT,
-              user_futures_funding_rate: int = None,
+              user_futures_funding_rate: Optional[int] = None,
               ) -> Dict[str, DataFrame]:
     """
     Load ohlcv history data for a list of pairs.
@@ -116,7 +116,7 @@ def refresh_data(*, datadir: Path,
                  timeframe: str,
                  pairs: List[str],
                  exchange: Exchange,
-                 data_format: str = None,
+                 data_format: Optional[str] = None,
                  timerange: Optional[TimeRange] = None,
                  candle_type: CandleType,
                  ) -> None:
@@ -189,7 +189,7 @@ def _download_pair_history(pair: str, *,
                            timeframe: str = '5m',
                            process: str = '',
                            new_pairs_days: int = 30,
-                           data_handler: IDataHandler = None,
+                           data_handler: Optional[IDataHandler] = None,
                            timerange: Optional[TimeRange] = None,
                            candle_type: CandleType,
                            erase: bool = False,
@@ -272,7 +272,7 @@ def refresh_backtest_ohlcv_data(exchange: Exchange, pairs: List[str], timeframes
                                 datadir: Path, trading_mode: str,
                                 timerange: Optional[TimeRange] = None,
                                 new_pairs_days: int = 30, erase: bool = False,
-                                data_format: str = None,
+                                data_format: Optional[str] = None,
                                 prepend: bool = False,
                                 ) -> List[str]:
     """

freqtrade/data/history/idatahandler.py

@@ -418,8 +418,8 @@ def get_datahandlerclass(datatype: str) -> Type[IDataHandler]:
         raise ValueError(f"No datahandler for datatype {datatype} available.")
 
 
-def get_datahandler(datadir: Path, data_format: str = None,
-                    data_handler: IDataHandler = None) -> IDataHandler:
+def get_datahandler(datadir: Path, data_format: Optional[str] = None,
+                    data_handler: Optional[IDataHandler] = None) -> IDataHandler:
     """
     :param datadir: Folder to save data
     :param data_format: dataformat to use

freqtrade/exchange/exchange.py

@@ -675,7 +675,7 @@ class Exchange:
                 f"Freqtrade does not support {mm_value} {trading_mode.value} on {self.name}"
             )
 
-    def get_option(self, param: str, default: Any = None) -> Any:
+    def get_option(self, param: str, default: Optional[Any] = None) -> Any:
         """
         Get parameter value from _ft_has
         """
@@ -1350,7 +1350,7 @@ class Exchange:
             raise OperationalException(e) from e
 
     @retrier
-    def fetch_positions(self, pair: str = None) -> List[Dict]:
+    def fetch_positions(self, pair: Optional[str] = None) -> List[Dict]:
         """
         Fetch positions from the exchange.
         If no pair is given, all positions are returned.
@@ -1794,7 +1794,7 @@ class Exchange:
     def get_historic_ohlcv(self, pair: str, timeframe: str,
                            since_ms: int, candle_type: CandleType,
                            is_new_pair: bool = False,
-                           until_ms: int = None) -> List:
+                           until_ms: Optional[int] = None) -> List:
         """
         Get candle history using asyncio and returns the list of candles.
         Handles all async work for this.

freqtrade/exchange/exchange_utils.py

@@ -15,18 +15,19 @@ from freqtrade.util import FtPrecise
 CcxtModuleType = Any
 
 
-def is_exchange_known_ccxt(exchange_name: str, ccxt_module: CcxtModuleType = None) -> bool:
+def is_exchange_known_ccxt(
+        exchange_name: str, ccxt_module: Optional[CcxtModuleType] = None) -> bool:
     return exchange_name in ccxt_exchanges(ccxt_module)
 
 
-def ccxt_exchanges(ccxt_module: CcxtModuleType = None) -> List[str]:
+def ccxt_exchanges(ccxt_module: Optional[CcxtModuleType] = None) -> List[str]:
     """
     Return the list of all exchanges known to ccxt
     """
     return ccxt_module.exchanges if ccxt_module is not None else ccxt.exchanges
 
 
-def available_exchanges(ccxt_module: CcxtModuleType = None) -> List[str]:
+def available_exchanges(ccxt_module: Optional[CcxtModuleType] = None) -> List[str]:
     """
     Return exchanges available to the bot, i.e. non-bad exchanges in the ccxt list
     """
@@ -86,7 +87,7 @@ def timeframe_to_msecs(timeframe: str) -> int:
     return ccxt.Exchange.parse_timeframe(timeframe) * 1000
 
 
-def timeframe_to_prev_date(timeframe: str, date: datetime = None) -> datetime:
+def timeframe_to_prev_date(timeframe: str, date: Optional[datetime] = None) -> datetime:
     """
     Use Timeframe and determine the candle start date for this date.
     Does not round when given a candle start date.
@@ -102,7 +103,7 @@ def timeframe_to_prev_date(timeframe: str, date: datetime = None) -> datetime:
     return datetime.fromtimestamp(new_timestamp, tz=timezone.utc)
 
 
-def timeframe_to_next_date(timeframe: str, date: datetime = None) -> datetime:
+def timeframe_to_next_date(timeframe: str, date: Optional[datetime] = None) -> datetime:
     """
     Use Timeframe and determine next candle.
     :param timeframe: timeframe in string format (e.g. "5m")

freqtrade/freqai/data_kitchen.py

@@ -5,7 +5,7 @@ import shutil
 from datetime import datetime, timezone
 from math import cos, sin
 from pathlib import Path
-from typing import Any, Dict, List, Tuple
+from typing import Any, Dict, List, Optional, Tuple
 
 import numpy as np
 import numpy.typing as npt
@@ -112,7 +112,7 @@ class FreqaiDataKitchen:
     def set_paths(
         self,
         pair: str,
-        trained_timestamp: int = None,
+        trained_timestamp: Optional[int] = None,
     ) -> None:
         """
         Set the paths to the data for the present coin/botloop

freqtrade/freqtradebot.py

@@ -1522,7 +1522,7 @@ class FreqtradeBot(LoggingMixin):
             *,
             exit_tag: Optional[str] = None,
             ordertype: Optional[str] = None,
-            sub_trade_amt: float = None,
+            sub_trade_amt: Optional[float] = None,
     ) -> bool:
         """
         Executes a trade exit for the given trade and limit
@@ -1616,7 +1616,7 @@ class FreqtradeBot(LoggingMixin):
         return True
 
     def _notify_exit(self, trade: Trade, order_type: str, fill: bool = False,
-                     sub_trade: bool = False, order: Order = None) -> None:
+                     sub_trade: bool = False, order: Optional[Order] = None) -> None:
         """
         Sends rpc notification when a sell occurred.
         """
@@ -1729,8 +1729,9 @@ class FreqtradeBot(LoggingMixin):
 # Common update trade state methods
 #
 
-    def update_trade_state(self, trade: Trade, order_id: str, action_order: Dict[str, Any] = None,
-                           stoploss_order: bool = False, send_msg: bool = True) -> bool:
+    def update_trade_state(
+            self, trade: Trade, order_id: str, action_order: Optional[Dict[str, Any]] = None,
+            stoploss_order: bool = False, send_msg: bool = True) -> bool:
         """
         Checks trades with open orders and updates the amount if necessary
         Handles closing both buy and sell orders.

freqtrade/main.py

@@ -5,7 +5,7 @@ Read the documentation to know what cli arguments you need.
 """
 import logging
 import sys
-from typing import Any, List
+from typing import Any, List, Optional
 
 from freqtrade.util.gc_setup import gc_set_threshold
 
@@ -23,7 +23,7 @@ from freqtrade.loggers import setup_logging_pre
 logger = logging.getLogger('freqtrade')
 
 
-def main(sysargv: List[str] = None) -> None:
+def main(sysargv: Optional[List[str]] = None) -> None:
     """
     This function will initiate the bot and start the trading loop.
     :return: None

freqtrade/misc.py

@@ -6,7 +6,7 @@ import logging
 import re
 from datetime import datetime
 from pathlib import Path
-from typing import Any, Dict, Iterator, List, Mapping, Union
+from typing import Any, Dict, Iterator, List, Mapping, Optional, Union
 from typing.io import IO
 from urllib.parse import urlparse
 
@@ -205,7 +205,7 @@ def safe_value_fallback2(dict1: dictMap, dict2: dictMap, key1: str, key2: str, d
     return default_value
 
 
-def plural(num: float, singular: str, plural: str = None) -> str:
+def plural(num: float, singular: str, plural: Optional[str] = None) -> str:
     return singular if (num == 1 or num == -1) else plural or singular + 's'
 
 

freqtrade/optimize/backtesting.py

@@ -644,7 +644,7 @@ class Backtesting:
         return None
 
     def _exit_trade(self, trade: LocalTrade, sell_row: Tuple,
-                    close_rate: float, amount: float = None) -> Optional[LocalTrade]:
+                    close_rate: float, amount: Optional[float] = None) -> Optional[LocalTrade]:
         self.order_id_counter += 1
         exit_candle_time = sell_row[DATE_IDX].to_pydatetime()
         order_type = self.strategy.order_types['exit']

freqtrade/optimize/hyperopt_tools.py

@@ -170,7 +170,7 @@ class HyperoptTools():
 
     @staticmethod
     def show_epoch_details(results, total_epochs: int, print_json: bool,
-                           no_header: bool = False, header_str: str = None) -> None:
+                           no_header: bool = False, header_str: Optional[str] = None) -> None:
         """
         Display details of the hyperopt result
         """
@@ -264,7 +264,7 @@ class HyperoptTools():
             print(result)
 
     @staticmethod
-    def _space_params(params, space: str, r: int = None) -> Dict:
+    def _space_params(params, space: str, r: Optional[int] = None) -> Dict:
         d = params.get(space)
         if d:
             # Round floats to `r` digits after the decimal point if requested

freqtrade/persistence/pairlock_middleware.py

@@ -30,8 +30,8 @@ class PairLocks():
             PairLocks.locks = []
 
     @staticmethod
-    def lock_pair(pair: str, until: datetime, reason: str = None, *,
-                  now: datetime = None, side: str = '*') -> PairLock:
+    def lock_pair(pair: str, until: datetime, reason: Optional[str] = None, *,
+                  now: Optional[datetime] = None, side: str = '*') -> PairLock:
         """
         Create PairLock from now to "until".
         Uses database by default, unless PairLocks.use_db is set to False,

freqtrade/persistence/trade_model.py

@@ -799,7 +799,7 @@ class LocalTrade():
         else:
             return close_trade - fees
 
-    def calc_close_trade_value(self, rate: float, amount: float = None) -> float:
+    def calc_close_trade_value(self, rate: float, amount: Optional[float] = None) -> float:
         """
         Calculate the Trade's close value including fees
         :param rate: rate to compare with.
@@ -837,7 +837,8 @@ class LocalTrade():
             raise OperationalException(
                 f"{self.trading_mode.value} trading is not yet available using freqtrade")
 
-    def calc_profit(self, rate: float, amount: float = None, open_rate: float = None) -> float:
+    def calc_profit(self, rate: float, amount: Optional[float] = None,
+                    open_rate: Optional[float] = None) -> float:
         """
         Calculate the absolute profit in stake currency between Close and Open trade
         :param rate: close rate to compare with.
@@ -858,7 +859,8 @@ class LocalTrade():
         return float(f"{profit:.8f}")
 
     def calc_profit_ratio(
-            self, rate: float, amount: float = None, open_rate: float = None) -> float:
+            self, rate: float, amount: Optional[float] = None,
+            open_rate: Optional[float] = None) -> float:
         """
         Calculates the profit as ratio (including fee).
         :param rate: rate to compare with.
@@ -1059,8 +1061,9 @@ class LocalTrade():
         return self.exit_reason
 
     @staticmethod
-    def get_trades_proxy(*, pair: str = None, is_open: bool = None,
-                         open_date: datetime = None, close_date: datetime = None,
+    def get_trades_proxy(*, pair: Optional[str] = None, is_open: Optional[bool] = None,
+                         open_date: Optional[datetime] = None,
+                         close_date: Optional[datetime] = None,
                          ) -> List['LocalTrade']:
         """
         Helper function to query Trades.
@@ -1257,8 +1260,9 @@ class Trade(_DECL_BASE, LocalTrade):
         Trade.query.session.rollback()
 
     @staticmethod
-    def get_trades_proxy(*, pair: str = None, is_open: bool = None,
-                         open_date: datetime = None, close_date: datetime = None,
+    def get_trades_proxy(*, pair: Optional[str] = None, is_open: Optional[bool] = None,
+                         open_date: Optional[datetime] = None,
+                         close_date: Optional[datetime] = None,
                          ) -> List['LocalTrade']:
         """
         Helper function to query Trades.j

freqtrade/plot/plotting.py

@@ -436,11 +436,11 @@ def create_scatter(
     return None
 
 
-def generate_candlestick_graph(pair: str, data: pd.DataFrame, trades: pd.DataFrame = None, *,
-                               indicators1: List[str] = [],
-                               indicators2: List[str] = [],
-                               plot_config: Dict[str, Dict] = {},
-                               ) -> go.Figure:
+def generate_candlestick_graph(
+        pair: str, data: pd.DataFrame, trades: Optional[pd.DataFrame] = None, *,
+        indicators1: List[str] = [], indicators2: List[str] = [],
+        plot_config: Dict[str, Dict] = {},
+        ) -> go.Figure:
     """
     Generate the graph from the data generated by Backtesting or from DB
     Volume will always be ploted in row2, so Row 1 and 3 are to our disposal for custom indicators

freqtrade/plugins/pairlistmanager.py

@@ -23,7 +23,8 @@ logger = logging.getLogger(__name__)
 
 class PairListManager(LoggingMixin):
 
-    def __init__(self, exchange, config: Config, dataprovider: DataProvider = None) -> None:
+    def __init__(
+            self, exchange, config: Config, dataprovider: Optional[DataProvider] = None) -> None:
         self._exchange = exchange
         self._config = config
         self._whitelist = self._config['exchange'].get('pair_whitelist')
@@ -153,7 +154,8 @@ class PairListManager(LoggingMixin):
             return []
         return whitelist
 
-    def create_pair_list(self, pairs: List[str], timeframe: str = None) -> ListPairsWithTimeframes:
+    def create_pair_list(
+            self, pairs: List[str], timeframe: Optional[str] = None) -> ListPairsWithTimeframes:
         """
         Create list of pair tuples with (pair, timeframe)
         """

freqtrade/resolvers/strategy_resolver.py

@@ -33,7 +33,7 @@ class StrategyResolver(IResolver):
     extra_path = "strategy_path"
 
     @staticmethod
-    def load_strategy(config: Config = None) -> IStrategy:
+    def load_strategy(config: Optional[Config] = None) -> IStrategy:
         """
         Load the custom class from config parameter
         :param config: configuration dictionary or None

freqtrade/rpc/rpc.py

@@ -945,7 +945,7 @@ class RPC:
         resp['errors'] = errors
         return resp
 
-    def _rpc_blacklist(self, add: List[str] = None) -> Dict:
+    def _rpc_blacklist(self, add: Optional[List[str]] = None) -> Dict:
         """ Returns the currently active blacklist"""
         errors = {}
         if add:

freqtrade/rpc/telegram.py

@@ -1605,7 +1605,7 @@ class Telegram(RPCHandler):
 
     def _send_msg(self, msg: str, parse_mode: str = ParseMode.MARKDOWN,
                   disable_notification: bool = False,
-                  keyboard: List[List[InlineKeyboardButton]] = None,
+                  keyboard: Optional[List[List[InlineKeyboardButton]]] = None,
                   callback_path: str = "",
                   reload_able: bool = False,
                   query: Optional[CallbackQuery] = None) -> None:

freqtrade/strategy/hyper.py

@@ -4,7 +4,7 @@ This module defines a base class for auto-hyperoptable strategies.
 """
 import logging
 from pathlib import Path
-from typing import Any, Dict, Iterator, List, Tuple, Type, Union
+from typing import Any, Dict, Iterator, List, Optional, Tuple, Type, Union
 
 from freqtrade.constants import Config
 from freqtrade.exceptions import OperationalException
@@ -36,7 +36,8 @@ class HyperStrategyMixin:
         self._ft_params_from_file = params
         # Init/loading of parameters is done as part of ft_bot_start().
 
-    def enumerate_parameters(self, category: str = None) -> Iterator[Tuple[str, BaseParameter]]:
+    def enumerate_parameters(
+            self, category: Optional[str] = None) -> Iterator[Tuple[str, BaseParameter]]:
         """
         Find all optimizable parameters and return (name, attr) iterator.
         :param category:

freqtrade/strategy/interface.py

@@ -598,7 +598,7 @@ class IStrategy(ABC, HyperStrategyMixin):
         return None
 
     def populate_any_indicators(self, pair: str, df: DataFrame, tf: str,
-                                informative: DataFrame = None,
+                                informative: Optional[DataFrame] = None,
                                 set_generalized_indicators: bool = False) -> DataFrame:
         """
         DEPRECATED - USE FEATURE ENGINEERING FUNCTIONS INSTEAD
@@ -759,7 +759,8 @@ class IStrategy(ABC, HyperStrategyMixin):
         """
         return self.__class__.__name__
 
-    def lock_pair(self, pair: str, until: datetime, reason: str = None, side: str = '*') -> None:
+    def lock_pair(self, pair: str, until: datetime,
+                  reason: Optional[str] = None, side: str = '*') -> None:
         """
         Locks pair until a given timestamp happens.
         Locked pairs are not analyzed, and are prevented from opening new trades.
@@ -791,7 +792,8 @@ class IStrategy(ABC, HyperStrategyMixin):
         """
         PairLocks.unlock_reason(reason, datetime.now(timezone.utc))
 
-    def is_pair_locked(self, pair: str, *, candle_date: datetime = None, side: str = '*') -> bool:
+    def is_pair_locked(self, pair: str, *, candle_date: Optional[datetime] = None,
+                       side: str = '*') -> bool:
         """
         Checks if a pair is currently locked
         The 2nd, optional parameter ensures that locks are applied until the new candle arrives,
@@ -962,7 +964,7 @@ class IStrategy(ABC, HyperStrategyMixin):
         pair: str,
         timeframe: str,
         dataframe: DataFrame,
-        is_short: bool = None
+        is_short: Optional[bool] = None
     ) -> Tuple[bool, bool, Optional[str]]:
         """
         Calculates current exit signal based based on the dataframe
@@ -1061,7 +1063,7 @@ class IStrategy(ABC, HyperStrategyMixin):
 
     def should_exit(self, trade: Trade, rate: float, current_time: datetime, *,
                     enter: bool, exit_: bool,
-                    low: float = None, high: float = None,
+                    low: Optional[float] = None, high: Optional[float] = None,
                     force_stoploss: float = 0) -> List[ExitCheckTuple]:
         """
         This function evaluates if one of the conditions required to trigger an exit order
@@ -1149,8 +1151,8 @@ class IStrategy(ABC, HyperStrategyMixin):
 
     def stop_loss_reached(self, current_rate: float, trade: Trade,
                           current_time: datetime, current_profit: float,
-                          force_stoploss: float, low: float = None,
-                          high: float = None) -> ExitCheckTuple:
+                          force_stoploss: float, low: Optional[float] = None,
+                          high: Optional[float] = None) -> ExitCheckTuple:
         """
         Based on current profit of the trade and configured (trailing) stoploss,
         decides to exit or not

freqtrade/worker.py

@@ -26,7 +26,7 @@ class Worker:
     Freqtradebot worker class
     """
 
-    def __init__(self, args: Dict[str, Any], config: Config = None) -> None:
+    def __init__(self, args: Dict[str, Any], config: Optional[Config] = None) -> None:
         """
         Init all variables and objects the bot needs to work
         """