buy/short -> entry order, sell/exit_short -> exit order

This commit is contained in:
Sam Germain 2021-09-09 02:10:12 -06:00
parent 695a8fc73b
commit f5b01443ad
2 changed files with 15 additions and 15 deletions

View File

@ -352,7 +352,7 @@ class FreqtradeBot(LoggingMixin):
def enter_positions(self) -> int:
"""
Tries to execute long buy/short sell orders for new trades (positions)
Tries to execute entry orders for new trades (positions)
"""
trades_created = 0
@ -600,7 +600,7 @@ class FreqtradeBot(LoggingMixin):
def _notify_buy(self, trade: Trade, order_type: str) -> None:
"""
Sends rpc notification when a buy/short occurred.
Sends rpc notification when a entry order occurred.
"""
msg = {
'trade_id': trade.id,
@ -623,7 +623,7 @@ class FreqtradeBot(LoggingMixin):
def _notify_buy_cancel(self, trade: Trade, order_type: str, reason: str) -> None:
"""
Sends rpc notification when a buy/short cancel occurred.
Sends rpc notification when a entry order cancel occurred.
"""
current_rate = self.exchange.get_rate(trade.pair, refresh=False, side="buy")
@ -669,7 +669,7 @@ class FreqtradeBot(LoggingMixin):
def exit_positions(self, trades: List[Any]) -> int:
"""
Tries to execute sell/exit_short orders for open trades (positions)
Tries to execute exit orders for open trades (positions)
"""
trades_closed = 0
for trade in trades:
@ -1012,7 +1012,7 @@ class FreqtradeBot(LoggingMixin):
def handle_cancel_sell(self, trade: Trade, order: Dict, reason: str) -> str:
"""
Sell/exit_short cancel - cancel order and update trade
exit order cancel - cancel order and update trade
:return: Reason for cancel
"""
# if trade is not partially completed, just cancel the order

View File

@ -168,7 +168,7 @@ class IStrategy(ABC, HyperStrategyMixin):
"""
Check buy enter timeout function callback.
This method can be used to override the enter-timeout.
It is called whenever a limit buy/short order has been created,
It is called whenever a limit entry order has been created,
and is not yet fully filled.
Configuration options in `unfilledtimeout` will be verified before this,
so ensure to set these timeouts high enough.
@ -178,7 +178,7 @@ class IStrategy(ABC, HyperStrategyMixin):
:param trade: trade object.
:param order: Order dictionary as returned from CCXT.
:param **kwargs: Ensure to keep this here so updates to this won't break your strategy.
:return bool: When True is returned, then the buy/short-order is cancelled.
:return bool: When True is returned, then the entry order is cancelled.
"""
return False
@ -212,7 +212,7 @@ class IStrategy(ABC, HyperStrategyMixin):
def confirm_trade_entry(self, pair: str, order_type: str, amount: float, rate: float,
time_in_force: str, current_time: datetime, **kwargs) -> bool:
"""
Called right before placing a buy/short order.
Called right before placing a entry order.
Timing for this function is critical, so avoid doing heavy computations or
network requests in this method.
@ -236,7 +236,7 @@ class IStrategy(ABC, HyperStrategyMixin):
rate: float, time_in_force: str, sell_reason: str,
current_time: datetime, **kwargs) -> bool:
"""
Called right before placing a regular sell/exit_short order.
Called right before placing a regular exit order.
Timing for this function is critical, so avoid doing heavy computations or
network requests in this method.
@ -410,7 +410,7 @@ class IStrategy(ABC, HyperStrategyMixin):
Checks if a pair is currently locked
The 2nd, optional parameter ensures that locks are applied until the new candle arrives,
and not stop at 14:00:00 - while the next candle arrives at 14:00:02 leaving a gap
of 2 seconds for a buy/short to happen on an old signal.
of 2 seconds for an entry order to happen on an old signal.
:param pair: "Pair to check"
:param candle_date: Date of the last candle. Optional, defaults to current date
:returns: locking state of the pair in question.
@ -426,7 +426,7 @@ class IStrategy(ABC, HyperStrategyMixin):
def analyze_ticker(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
"""
Parses the given candle (OHLCV) data and returns a populated DataFrame
add several TA indicators and buy/short signal to it
add several TA indicators and entry order signal to it
:param dataframe: Dataframe containing data from exchange
:param metadata: Metadata dictionary with additional data (e.g. 'pair')
:return: DataFrame of candle (OHLCV) data with indicator data and signals added
@ -541,7 +541,7 @@ class IStrategy(ABC, HyperStrategyMixin):
dataframe: DataFrame
) -> Tuple[bool, bool, Optional[str]]:
"""
Calculates current signal based based on the buy/short or sell/exit_short
Calculates current signal based based on the entry order or exit order
columns of the dataframe.
Used by Bot to get the signal to buy, sell, short, or exit_short
:param pair: pair in format ANT/BTC
@ -606,7 +606,7 @@ class IStrategy(ABC, HyperStrategyMixin):
sell: bool, low: float = None, high: float = None,
force_stoploss: float = 0) -> SellCheckTuple:
"""
This function evaluates if one of the conditions required to trigger a sell/exit_short
This function evaluates if one of the conditions required to trigger an exit order
has been reached, which can either be a stop-loss, ROI or exit-signal.
:param low: Only used during backtesting to simulate (long)stoploss/(short)ROI
:param high: Only used during backtesting, to simulate (short)stoploss/(long)ROI
@ -810,7 +810,7 @@ class IStrategy(ABC, HyperStrategyMixin):
def advise_buy(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
"""
Based on TA indicators, populates the buy/short signal for the given dataframe
Based on TA indicators, populates the entry order signal for the given dataframe
This method should not be overridden.
:param dataframe: DataFrame
:param metadata: Additional information dictionary, with details like the
@ -829,7 +829,7 @@ class IStrategy(ABC, HyperStrategyMixin):
def advise_sell(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
"""
Based on TA indicators, populates the sell/exit_short signal for the given dataframe
Based on TA indicators, populates the exit order signal for the given dataframe
This method should not be overridden.
:param dataframe: DataFrame
:param metadata: Additional information dictionary, with details like the