Add stoploss_value to strategy template
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@ -8,6 +8,9 @@ If you're just getting started, please be familiar with the methods described in
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!!! Note
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All callback methods described below should only be implemented in a strategy if they are actually used.
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!!! Tip
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You can get a strategy template containing all below methods by running `freqtrade new-strategy --strategy MyAwesomeStrategy --template advanced`
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## Custom stoploss
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A stoploss can only ever move upwards - so if you set it to an absolute profit of 2%, you can never move it below this price.
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@ -37,32 +40,6 @@ E.g. `current_profit = 0.05` (5% profit) - stoploss returns `0.02` - then you "l
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The next section will show some examples on what's possible with the custom stoploss function.
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Of course, many more things are possible, and all examples can be combined at will.
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#### Absolute stoploss
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The below example sets absolute profit levels based on the current profit.
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* Use the regular stoploss until 20% profit is reached
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* Once profit is > 40%, stoploss will be at 25%, locking in at least 25% of the profit.
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* Once profit is > 25% - stoploss will be 15%.
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* Once profit is > 20% - stoploss will be set to 7%.
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``` python
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custom_stoploss = True
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def stoploss_value(self, pair: str, trade: Trade, current_time: datetime, current_rate: float,
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current_profit: float, **kwargs) -> float:
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# TODO: Add full docstring here
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# Calculate as `-desired_stop_from_open + current_profit` to get the distance between current_profit and initial price
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if current_profit > 0.40:
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return (-0.25 + current_profit)
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if current_profit > 0.25:
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return (-0.15 + current_profit)
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if current_profit > 0.20:
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return (-0.7 + current_profit)
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return 1
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```
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#### Time based trailing stop
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Use the initial stoploss for the first 60 minutes, after this change to 10% trailing stoploss, and after 2 hours (120 minutes) we use a 5% trailing stoploss.
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@ -101,6 +78,32 @@ In this example, we'll trail the highest price with 10% trailing stoploss for `E
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return -0.15
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```
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#### Absolute stoploss
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The below example sets absolute profit levels based on the current profit.
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* Use the regular stoploss until 20% profit is reached
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* Once profit is > 40%, stoploss will be at 25%, locking in at least 25% of the profit.
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* Once profit is > 25% - stoploss will be 15%.
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* Once profit is > 20% - stoploss will be set to 7%.
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``` python
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custom_stoploss = True
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def stoploss_value(self, pair: str, trade: Trade, current_time: datetime, current_rate: float,
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current_profit: float, **kwargs) -> float:
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# TODO: Add full docstring here
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# Calculate as `-desired_stop_from_open + current_profit` to get the distance between current_profit and initial price
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if current_profit > 0.40:
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return (-0.25 + current_profit)
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if current_profit > 0.25:
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return (-0.15 + current_profit)
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if current_profit > 0.20:
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return (-0.7 + current_profit)
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return 1
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```
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---
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## Custom order timeout rules
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@ -12,6 +12,30 @@ def bot_loop_start(self, **kwargs) -> None:
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"""
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pass
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custom_stoploss = True
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def stoploss_value(self, pair: str, trade: 'Trade', current_time: 'datetime', current_rate: float,
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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 custom_stoploss is set to True.
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:param pair: Pair that's about to be sold.
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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 currentrate
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"""
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return self.stoploss
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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, **kwargs) -> bool:
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"""
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