Follow PEP 484 - no implicit optionals
This commit is contained in:
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bb355cfac5
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8108a48f39
@ -28,7 +28,7 @@ class Configuration:
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Reuse this class for the bot, backtesting, hyperopt and every script that required configuration
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"""
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def __init__(self, args: Dict[str, Any], runmode: RunMode = None) -> None:
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def __init__(self, args: Dict[str, Any], runmode: Optional[RunMode] = None) -> None:
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self.args = args
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self.config: Optional[Config] = None
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self.runmode = runmode
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@ -6,7 +6,7 @@ import re
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import sys
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from copy import deepcopy
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from pathlib import Path
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from typing import Any, Dict, List
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from typing import Any, Dict, List, Optional
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import rapidjson
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@ -75,7 +75,8 @@ def load_config_file(path: str) -> Dict[str, Any]:
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return config
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def load_from_files(files: List[str], base_path: Path = None, level: int = 0) -> Dict[str, Any]:
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def load_from_files(
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files: List[str], base_path: Optional[Path] = None, level: int = 0) -> Dict[str, Any]:
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"""
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Recursively load configuration files if specified.
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Sub-files are assumed to be relative to the initial config.
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@ -90,7 +90,8 @@ def get_latest_hyperopt_filename(directory: Union[Path, str]) -> str:
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return 'hyperopt_results.pickle'
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def get_latest_hyperopt_file(directory: Union[Path, str], predef_filename: str = None) -> Path:
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def get_latest_hyperopt_file(
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directory: Union[Path, str], predef_filename: Optional[str] = None) -> Path:
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"""
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Get latest hyperopt export based on '.last_result.json'.
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:param directory: Directory to search for last result
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@ -193,7 +194,7 @@ def get_backtest_resultlist(dirname: Path):
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def find_existing_backtest_stats(dirname: Union[Path, str], run_ids: Dict[str, str],
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min_backtest_date: datetime = None) -> Dict[str, Any]:
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min_backtest_date: Optional[datetime] = None) -> Dict[str, Any]:
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"""
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Find existing backtest stats that match specified run IDs and load them.
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:param dirname: pathlib.Path object, or string pointing to the file.
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@ -281,7 +281,7 @@ class DataProvider:
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def historic_ohlcv(
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self,
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pair: str,
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timeframe: str = None,
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timeframe: Optional[str] = None,
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candle_type: str = ''
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) -> DataFrame:
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"""
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@ -333,7 +333,7 @@ class DataProvider:
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def get_pair_dataframe(
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self,
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pair: str,
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timeframe: str = None,
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timeframe: Optional[str] = None,
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candle_type: str = ''
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) -> DataFrame:
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"""
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@ -415,7 +415,7 @@ class DataProvider:
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def refresh(self,
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pairlist: ListPairsWithTimeframes,
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helping_pairs: ListPairsWithTimeframes = None) -> None:
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helping_pairs: Optional[ListPairsWithTimeframes] = None) -> None:
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"""
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Refresh data, called with each cycle
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"""
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@ -439,7 +439,7 @@ class DataProvider:
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def ohlcv(
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self,
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pair: str,
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timeframe: str = None,
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timeframe: Optional[str] = None,
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copy: bool = True,
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candle_type: str = ''
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) -> DataFrame:
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@ -28,8 +28,8 @@ def load_pair_history(pair: str,
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fill_up_missing: bool = True,
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drop_incomplete: bool = False,
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startup_candles: int = 0,
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data_format: str = None,
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data_handler: IDataHandler = None,
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data_format: Optional[str] = None,
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data_handler: Optional[IDataHandler] = None,
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candle_type: CandleType = CandleType.SPOT
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) -> DataFrame:
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"""
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@ -69,7 +69,7 @@ def load_data(datadir: Path,
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fail_without_data: bool = False,
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data_format: str = 'json',
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candle_type: CandleType = CandleType.SPOT,
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user_futures_funding_rate: int = None,
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user_futures_funding_rate: Optional[int] = None,
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) -> Dict[str, DataFrame]:
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"""
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Load ohlcv history data for a list of pairs.
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@ -116,7 +116,7 @@ def refresh_data(*, datadir: Path,
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timeframe: str,
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pairs: List[str],
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exchange: Exchange,
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data_format: str = None,
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data_format: Optional[str] = None,
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timerange: Optional[TimeRange] = None,
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candle_type: CandleType,
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) -> None:
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@ -189,7 +189,7 @@ def _download_pair_history(pair: str, *,
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timeframe: str = '5m',
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process: str = '',
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new_pairs_days: int = 30,
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data_handler: IDataHandler = None,
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data_handler: Optional[IDataHandler] = None,
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timerange: Optional[TimeRange] = None,
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candle_type: CandleType,
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erase: bool = False,
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@ -272,7 +272,7 @@ def refresh_backtest_ohlcv_data(exchange: Exchange, pairs: List[str], timeframes
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datadir: Path, trading_mode: str,
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timerange: Optional[TimeRange] = None,
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new_pairs_days: int = 30, erase: bool = False,
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data_format: str = None,
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data_format: Optional[str] = None,
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prepend: bool = False,
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) -> List[str]:
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"""
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@ -418,8 +418,8 @@ def get_datahandlerclass(datatype: str) -> Type[IDataHandler]:
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raise ValueError(f"No datahandler for datatype {datatype} available.")
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def get_datahandler(datadir: Path, data_format: str = None,
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data_handler: IDataHandler = None) -> IDataHandler:
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def get_datahandler(datadir: Path, data_format: Optional[str] = None,
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data_handler: Optional[IDataHandler] = None) -> IDataHandler:
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"""
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:param datadir: Folder to save data
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:param data_format: dataformat to use
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@ -675,7 +675,7 @@ class Exchange:
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f"Freqtrade does not support {mm_value} {trading_mode.value} on {self.name}"
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)
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def get_option(self, param: str, default: Any = None) -> Any:
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def get_option(self, param: str, default: Optional[Any] = None) -> Any:
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"""
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Get parameter value from _ft_has
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"""
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@ -1350,7 +1350,7 @@ class Exchange:
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raise OperationalException(e) from e
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@retrier
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def fetch_positions(self, pair: str = None) -> List[Dict]:
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def fetch_positions(self, pair: Optional[str] = None) -> List[Dict]:
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"""
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Fetch positions from the exchange.
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If no pair is given, all positions are returned.
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@ -1794,7 +1794,7 @@ class Exchange:
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def get_historic_ohlcv(self, pair: str, timeframe: str,
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since_ms: int, candle_type: CandleType,
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is_new_pair: bool = False,
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until_ms: int = None) -> List:
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until_ms: Optional[int] = None) -> List:
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"""
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Get candle history using asyncio and returns the list of candles.
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Handles all async work for this.
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@ -15,18 +15,19 @@ from freqtrade.util import FtPrecise
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CcxtModuleType = Any
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def is_exchange_known_ccxt(exchange_name: str, ccxt_module: CcxtModuleType = None) -> bool:
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def is_exchange_known_ccxt(
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exchange_name: str, ccxt_module: Optional[CcxtModuleType] = None) -> bool:
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return exchange_name in ccxt_exchanges(ccxt_module)
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def ccxt_exchanges(ccxt_module: CcxtModuleType = None) -> List[str]:
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def ccxt_exchanges(ccxt_module: Optional[CcxtModuleType] = None) -> List[str]:
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"""
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Return the list of all exchanges known to ccxt
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"""
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return ccxt_module.exchanges if ccxt_module is not None else ccxt.exchanges
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def available_exchanges(ccxt_module: CcxtModuleType = None) -> List[str]:
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def available_exchanges(ccxt_module: Optional[CcxtModuleType] = None) -> List[str]:
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"""
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Return exchanges available to the bot, i.e. non-bad exchanges in the ccxt list
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"""
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@ -86,7 +87,7 @@ def timeframe_to_msecs(timeframe: str) -> int:
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return ccxt.Exchange.parse_timeframe(timeframe) * 1000
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def timeframe_to_prev_date(timeframe: str, date: datetime = None) -> datetime:
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def timeframe_to_prev_date(timeframe: str, date: Optional[datetime] = None) -> datetime:
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"""
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Use Timeframe and determine the candle start date for this date.
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Does not round when given a candle start date.
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@ -102,7 +103,7 @@ def timeframe_to_prev_date(timeframe: str, date: datetime = None) -> datetime:
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return datetime.fromtimestamp(new_timestamp, tz=timezone.utc)
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def timeframe_to_next_date(timeframe: str, date: datetime = None) -> datetime:
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def timeframe_to_next_date(timeframe: str, date: Optional[datetime] = None) -> datetime:
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"""
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Use Timeframe and determine next candle.
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:param timeframe: timeframe in string format (e.g. "5m")
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@ -5,7 +5,7 @@ import shutil
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from datetime import datetime, timezone
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from math import cos, sin
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from pathlib import Path
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from typing import Any, Dict, List, Tuple
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from typing import Any, Dict, List, Optional, Tuple
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import numpy as np
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import numpy.typing as npt
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@ -112,7 +112,7 @@ class FreqaiDataKitchen:
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def set_paths(
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self,
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pair: str,
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trained_timestamp: int = None,
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trained_timestamp: Optional[int] = None,
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) -> None:
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"""
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Set the paths to the data for the present coin/botloop
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@ -1522,7 +1522,7 @@ class FreqtradeBot(LoggingMixin):
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*,
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exit_tag: Optional[str] = None,
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ordertype: Optional[str] = None,
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sub_trade_amt: float = None,
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sub_trade_amt: Optional[float] = None,
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) -> bool:
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"""
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Executes a trade exit for the given trade and limit
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@ -1616,7 +1616,7 @@ class FreqtradeBot(LoggingMixin):
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return True
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def _notify_exit(self, trade: Trade, order_type: str, fill: bool = False,
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sub_trade: bool = False, order: Order = None) -> None:
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sub_trade: bool = False, order: Optional[Order] = None) -> None:
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"""
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Sends rpc notification when a sell occurred.
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"""
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@ -1729,8 +1729,9 @@ class FreqtradeBot(LoggingMixin):
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# Common update trade state methods
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#
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def update_trade_state(self, trade: Trade, order_id: str, action_order: Dict[str, Any] = None,
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stoploss_order: bool = False, send_msg: bool = True) -> bool:
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def update_trade_state(
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self, trade: Trade, order_id: str, action_order: Optional[Dict[str, Any]] = None,
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stoploss_order: bool = False, send_msg: bool = True) -> bool:
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"""
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Checks trades with open orders and updates the amount if necessary
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Handles closing both buy and sell orders.
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@ -5,7 +5,7 @@ Read the documentation to know what cli arguments you need.
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"""
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import logging
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import sys
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from typing import Any, List
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from typing import Any, List, Optional
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from freqtrade.util.gc_setup import gc_set_threshold
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@ -23,7 +23,7 @@ from freqtrade.loggers import setup_logging_pre
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logger = logging.getLogger('freqtrade')
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def main(sysargv: List[str] = None) -> None:
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def main(sysargv: Optional[List[str]] = None) -> None:
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"""
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This function will initiate the bot and start the trading loop.
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:return: None
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@ -6,7 +6,7 @@ import logging
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import re
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from datetime import datetime
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from pathlib import Path
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from typing import Any, Dict, Iterator, List, Mapping, Union
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from typing import Any, Dict, Iterator, List, Mapping, Optional, Union
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from typing.io import IO
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from urllib.parse import urlparse
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@ -205,7 +205,7 @@ def safe_value_fallback2(dict1: dictMap, dict2: dictMap, key1: str, key2: str, d
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return default_value
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def plural(num: float, singular: str, plural: str = None) -> str:
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def plural(num: float, singular: str, plural: Optional[str] = None) -> str:
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return singular if (num == 1 or num == -1) else plural or singular + 's'
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@ -644,7 +644,7 @@ class Backtesting:
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return None
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def _exit_trade(self, trade: LocalTrade, sell_row: Tuple,
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close_rate: float, amount: float = None) -> Optional[LocalTrade]:
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close_rate: float, amount: Optional[float] = None) -> Optional[LocalTrade]:
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self.order_id_counter += 1
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exit_candle_time = sell_row[DATE_IDX].to_pydatetime()
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order_type = self.strategy.order_types['exit']
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@ -170,7 +170,7 @@ class HyperoptTools():
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@staticmethod
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def show_epoch_details(results, total_epochs: int, print_json: bool,
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no_header: bool = False, header_str: str = None) -> None:
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no_header: bool = False, header_str: Optional[str] = None) -> None:
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"""
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Display details of the hyperopt result
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"""
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@ -264,7 +264,7 @@ class HyperoptTools():
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print(result)
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@staticmethod
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def _space_params(params, space: str, r: int = None) -> Dict:
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def _space_params(params, space: str, r: Optional[int] = None) -> Dict:
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d = params.get(space)
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if d:
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# Round floats to `r` digits after the decimal point if requested
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@ -30,8 +30,8 @@ class PairLocks():
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PairLocks.locks = []
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@staticmethod
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def lock_pair(pair: str, until: datetime, reason: str = None, *,
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now: datetime = None, side: str = '*') -> PairLock:
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def lock_pair(pair: str, until: datetime, reason: Optional[str] = None, *,
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now: Optional[datetime] = None, side: str = '*') -> PairLock:
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"""
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Create PairLock from now to "until".
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Uses database by default, unless PairLocks.use_db is set to False,
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@ -799,7 +799,7 @@ class LocalTrade():
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else:
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return close_trade - fees
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def calc_close_trade_value(self, rate: float, amount: float = None) -> float:
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def calc_close_trade_value(self, rate: float, amount: Optional[float] = None) -> float:
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"""
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Calculate the Trade's close value including fees
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:param rate: rate to compare with.
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@ -837,7 +837,8 @@ class LocalTrade():
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raise OperationalException(
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f"{self.trading_mode.value} trading is not yet available using freqtrade")
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def calc_profit(self, rate: float, amount: float = None, open_rate: float = None) -> float:
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def calc_profit(self, rate: float, amount: Optional[float] = None,
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open_rate: Optional[float] = None) -> float:
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"""
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Calculate the absolute profit in stake currency between Close and Open trade
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:param rate: close rate to compare with.
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@ -858,7 +859,8 @@ class LocalTrade():
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return float(f"{profit:.8f}")
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def calc_profit_ratio(
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self, rate: float, amount: float = None, open_rate: float = None) -> float:
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self, rate: float, amount: Optional[float] = None,
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open_rate: Optional[float] = None) -> float:
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"""
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Calculates the profit as ratio (including fee).
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:param rate: rate to compare with.
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@ -1059,8 +1061,9 @@ class LocalTrade():
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return self.exit_reason
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@staticmethod
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def get_trades_proxy(*, pair: str = None, is_open: bool = None,
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open_date: datetime = None, close_date: datetime = None,
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def get_trades_proxy(*, pair: Optional[str] = None, is_open: Optional[bool] = None,
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open_date: Optional[datetime] = None,
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close_date: Optional[datetime] = None,
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) -> List['LocalTrade']:
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"""
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Helper function to query Trades.
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@ -1257,8 +1260,9 @@ class Trade(_DECL_BASE, LocalTrade):
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Trade.query.session.rollback()
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@staticmethod
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def get_trades_proxy(*, pair: str = None, is_open: bool = None,
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open_date: datetime = None, close_date: datetime = None,
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def get_trades_proxy(*, pair: Optional[str] = None, is_open: Optional[bool] = None,
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open_date: Optional[datetime] = None,
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close_date: Optional[datetime] = None,
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) -> List['LocalTrade']:
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"""
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Helper function to query Trades.j
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@ -436,11 +436,11 @@ def create_scatter(
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return None
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def generate_candlestick_graph(pair: str, data: pd.DataFrame, trades: pd.DataFrame = None, *,
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indicators1: List[str] = [],
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indicators2: List[str] = [],
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plot_config: Dict[str, Dict] = {},
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) -> go.Figure:
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def generate_candlestick_graph(
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pair: str, data: pd.DataFrame, trades: Optional[pd.DataFrame] = None, *,
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indicators1: List[str] = [], indicators2: List[str] = [],
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plot_config: Dict[str, Dict] = {},
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) -> go.Figure:
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"""
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Generate the graph from the data generated by Backtesting or from DB
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Volume will always be ploted in row2, so Row 1 and 3 are to our disposal for custom indicators
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@ -23,7 +23,8 @@ logger = logging.getLogger(__name__)
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class PairListManager(LoggingMixin):
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def __init__(self, exchange, config: Config, dataprovider: DataProvider = None) -> None:
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def __init__(
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self, exchange, config: Config, dataprovider: Optional[DataProvider] = None) -> None:
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self._exchange = exchange
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self._config = config
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self._whitelist = self._config['exchange'].get('pair_whitelist')
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@ -153,7 +154,8 @@ class PairListManager(LoggingMixin):
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return []
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return whitelist
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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)
|
||||
"""
|
||||
|
@ -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
|
||||
|
@ -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:
|
||||
|
@ -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:
|
||||
|
@ -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:
|
||||
|
@ -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
|
||||
|
@ -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
|
||||
"""
|
||||
|
Loading…
Reference in New Issue
Block a user