mirror of
https://github.com/freqtrade/freqtrade.git
synced 2024-11-10 18:23:55 +00:00
170 lines
8.1 KiB
Django/Jinja
170 lines
8.1 KiB
Django/Jinja
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def bot_loop_start(self, **kwargs) -> None:
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"""
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Called at the start of the bot iteration (one loop).
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Might be used to perform pair-independent tasks
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(e.g. gather some remote ressource for comparison)
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For full documentation please go to https://www.freqtrade.io/en/latest/strategy-advanced/
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When not implemented by a strategy, this simply does nothing.
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:param **kwargs: Ensure to keep this here so updates to this won't break your strategy.
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"""
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pass
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def custom_stake_amount(self, pair: str, current_time: 'datetime', current_rate: float,
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proposed_stake: float, min_stake: float, max_stake: float,
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**kwargs) -> float:
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"""
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Customize stake size for each new trade. This method is not called when edge module is
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enabled.
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:param pair: Pair that's currently analyzed
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:param current_time: datetime object, containing the current datetime
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:param current_rate: Rate, calculated based on pricing settings in ask_strategy.
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:param proposed_stake: A stake amount proposed by the bot.
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:param min_stake: Minimal stake size allowed by exchange.
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:param max_stake: Balance available for trading.
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:return: A stake size, which is between min_stake and max_stake.
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"""
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return proposed_stake
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use_custom_stoploss = True
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def custom_stoploss(self, pair: str, trade: 'Trade', current_time: 'datetime',
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current_rate: float, current_profit: float, **kwargs) -> float:
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"""
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Custom stoploss logic, returning the new distance relative to current_rate (as ratio).
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e.g. returning -0.05 would create a stoploss 5% below current_rate.
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The custom stoploss can never be below self.stoploss, which serves as a hard maximum loss.
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For full documentation please go to https://www.freqtrade.io/en/latest/strategy-advanced/
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When not implemented by a strategy, returns the initial stoploss value
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Only called when use_custom_stoploss is set to True.
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:param pair: Pair that's currently analyzed
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:param trade: trade object.
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:param current_time: datetime object, containing the current datetime
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:param current_rate: Rate, calculated based on pricing settings in ask_strategy.
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:param current_profit: Current profit (as ratio), calculated based on current_rate.
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:param **kwargs: Ensure to keep this here so updates to this won't break your strategy.
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:return float: New stoploss value, relative to the current_rate
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"""
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return self.stoploss
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def custom_sell(self, pair: str, trade: 'Trade', current_time: 'datetime', current_rate: float,
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current_profit: float, **kwargs) -> 'Optional[Union[str, bool]]':
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"""
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Custom sell signal logic indicating that specified position should be sold. Returning a
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string or True from this method is equal to setting sell signal on a candle at specified
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time. This method is not called when sell signal is set.
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This method should be overridden to create sell signals that depend on trade parameters. For
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example you could implement a sell relative to the candle when the trade was opened,
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or a custom 1:2 risk-reward ROI.
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Custom sell reason max length is 64. Exceeding characters will be removed.
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:param pair: Pair that's currently analyzed
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:param trade: trade object.
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:param current_time: datetime object, containing the current datetime
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:param current_rate: Rate, calculated based on pricing settings in ask_strategy.
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:param current_profit: Current profit (as ratio), calculated based on current_rate.
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:param **kwargs: Ensure to keep this here so updates to this won't break your strategy.
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:return: To execute sell, return a string with custom sell reason or True. Otherwise return
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None or False.
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"""
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return None
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def confirm_trade_entry(self, pair: str, order_type: str, amount: float, rate: float,
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time_in_force: str, current_time: 'datetime', **kwargs) -> bool:
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"""
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Called right before placing a buy order.
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Timing for this function is critical, so avoid doing heavy computations or
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network requests in this method.
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For full documentation please go to https://www.freqtrade.io/en/latest/strategy-advanced/
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When not implemented by a strategy, returns True (always confirming).
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:param pair: Pair that's about to be bought.
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:param order_type: Order type (as configured in order_types). usually limit or market.
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:param amount: Amount in target (quote) currency that's going to be traded.
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:param rate: Rate that's going to be used when using limit orders
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:param time_in_force: Time in force. Defaults to GTC (Good-til-cancelled).
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:param current_time: datetime object, containing the current datetime
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:param **kwargs: Ensure to keep this here so updates to this won't break your strategy.
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:return bool: When True is returned, then the buy-order is placed on the exchange.
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False aborts the process
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"""
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return True
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def confirm_trade_exit(self, pair: str, trade: 'Trade', order_type: str, amount: float,
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rate: float, time_in_force: str, sell_reason: str,
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current_time: 'datetime', **kwargs) -> bool:
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"""
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Called right before placing a regular sell order.
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Timing for this function is critical, so avoid doing heavy computations or
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network requests in this method.
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For full documentation please go to https://www.freqtrade.io/en/latest/strategy-advanced/
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When not implemented by a strategy, returns True (always confirming).
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:param pair: Pair that's currently analyzed
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:param trade: trade object.
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:param order_type: Order type (as configured in order_types). usually limit or market.
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:param amount: Amount in quote currency.
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:param rate: Rate that's going to be used when using limit orders
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:param time_in_force: Time in force. Defaults to GTC (Good-til-cancelled).
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:param sell_reason: Sell reason.
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Can be any of ['roi', 'stop_loss', 'stoploss_on_exchange', 'trailing_stop_loss',
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'sell_signal', 'force_sell', 'emergency_sell']
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:param current_time: datetime object, containing the current datetime
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:param **kwargs: Ensure to keep this here so updates to this won't break your strategy.
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:return bool: When True is returned, then the sell-order is placed on the exchange.
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False aborts the process
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"""
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return True
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def check_buy_timeout(self, pair: str, trade: 'Trade', order: dict, **kwargs) -> bool:
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"""
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Check buy timeout function callback.
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This method can be used to override the buy-timeout.
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It is called whenever a limit buy order has been created,
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and is not yet fully filled.
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Configuration options in `unfilledtimeout` will be verified before this,
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so ensure to set these timeouts high enough.
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For full documentation please go to https://www.freqtrade.io/en/latest/strategy-advanced/
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When not implemented by a strategy, this simply returns False.
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:param pair: Pair the trade is for
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:param trade: trade object.
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:param order: Order dictionary as returned from CCXT.
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:param **kwargs: Ensure to keep this here so updates to this won't break your strategy.
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:return bool: When True is returned, then the buy-order is cancelled.
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"""
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return False
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def check_sell_timeout(self, pair: str, trade: 'Trade', order: dict, **kwargs) -> bool:
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"""
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Check sell timeout function callback.
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This method can be used to override the sell-timeout.
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It is called whenever a limit sell order has been created,
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and is not yet fully filled.
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Configuration options in `unfilledtimeout` will be verified before this,
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so ensure to set these timeouts high enough.
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For full documentation please go to https://www.freqtrade.io/en/latest/strategy-advanced/
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When not implemented by a strategy, this simply returns False.
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:param pair: Pair the trade is for
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:param trade: trade object.
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:param order: Order dictionary as returned from CCXT.
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:param **kwargs: Ensure to keep this here so updates to this won't break your strategy.
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:return bool: When True is returned, then the sell-order is cancelled.
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"""
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return False
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