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Update samples in the documentation

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Matthias 2023-08-14 16:16:23 +02:00
parent bef5e191a4
commit 6e32f172be
4 changed files with 24 additions and 15 deletions
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23
docs/strategy-callbacks.md
View File

@ -179,7 +179,8 @@ class AwesomeStrategy(IStrategy):
use_custom_stoploss = True
def custom_stoploss(self, pair: str, trade: 'Trade', current_time: datetime,
current_rate: float, current_profit: float, **kwargs) -> float:
current_rate: float, current_profit: float, after_fill: bool,
**kwargs) -> float:
"""
Custom stoploss logic, returning the new distance relative to current_rate (as ratio).
e.g. returning -0.05 would create a stoploss 5% below current_rate.
@ -187,7 +188,7 @@ class AwesomeStrategy(IStrategy):
For full documentation please go to https://www.freqtrade.io/en/latest/strategy-advanced/
When not implemented by a strategy, returns the initial stoploss value
When not implemented by a strategy, returns the initial stoploss value.
Only called when use_custom_stoploss is set to True.
:param pair: Pair that's currently analyzed
@ -195,8 +196,9 @@ class AwesomeStrategy(IStrategy):
:param current_time: datetime object, containing the current datetime
:param current_rate: Rate, calculated based on pricing settings in exit_pricing.
:param current_profit: Current profit (as ratio), calculated based on current_rate.
:param after_fill: True if the stoploss is called after the order was filled.
:param **kwargs: Ensure to keep this here so updates to this won't break your strategy.
:return float: New stoploss value, relative to the current rate
:return float: New stoploss value, relative to the current_rate
"""
return -0.04
```
@ -229,7 +231,8 @@ class AwesomeStrategy(IStrategy):
use_custom_stoploss = True
def custom_stoploss(self, pair: str, trade: 'Trade', current_time: datetime,
current_rate: float, current_profit: float, **kwargs) -> float:
current_rate: float, current_profit: float, after_fill: bool,
**kwargs) -> float:
# Make sure you have the longest interval first - these conditions are evaluated from top to bottom.
if current_time - timedelta(minutes=120) > trade.open_date_utc:
@ -255,7 +258,8 @@ class AwesomeStrategy(IStrategy):
use_custom_stoploss = True
def custom_stoploss(self, pair: str, trade: 'Trade', current_time: datetime,
current_rate: float, current_profit: float, **kwargs) -> float:
current_rate: float, current_profit: float, after_fill: bool,
**kwargs) -> float:
if pair in ('ETH/BTC', 'XRP/BTC'):
return -0.10
@ -281,7 +285,8 @@ class AwesomeStrategy(IStrategy):
use_custom_stoploss = True
def custom_stoploss(self, pair: str, trade: 'Trade', current_time: datetime,
current_rate: float, current_profit: float, **kwargs) -> float:
current_rate: float, current_profit: float, after_fill: bool,
**kwargs) -> float:
if current_profit < 0.04:
return -1 # return a value bigger than the initial stoploss to keep using the initial stoploss
@ -314,7 +319,8 @@ class AwesomeStrategy(IStrategy):
use_custom_stoploss = True
def custom_stoploss(self, pair: str, trade: 'Trade', current_time: datetime,
current_rate: float, current_profit: float, **kwargs) -> float:
current_rate: float, current_profit: float, after_fill: bool,
**kwargs) -> float:
# evaluate highest to lowest, so that highest possible stop is used
if current_profit > 0.40:
@ -342,7 +348,8 @@ class AwesomeStrategy(IStrategy):
use_custom_stoploss = True
def custom_stoploss(self, pair: str, trade: 'Trade', current_time: datetime,
current_rate: float, current_profit: float, **kwargs) -> float:
current_rate: float, current_profit: float, after_fill: bool,
**kwargs) -> float:
dataframe, _ = self.dp.get_analyzed_dataframe(pair, self.timeframe)
last_candle = dataframe.iloc[-1].squeeze()

6
docs/strategy-customization.md
View File

@ -901,7 +901,8 @@ Stoploss values returned from `custom_stoploss` must specify a percentage relati
use_custom_stoploss = True
def custom_stoploss(self, pair: str, trade: 'Trade', current_time: datetime,
current_rate: float, current_profit: float, **kwargs) -> float:
current_rate: float, current_profit: float, after_fill: bool,
**kwargs) -> float:
# once the profit has risen above 10%, keep the stoploss at 7% above the open price
if current_profit > 0.10:
@ -943,7 +944,8 @@ In some situations it may be confusing to deal with stops relative to current ra
return dataframe
def custom_stoploss(self, pair: str, trade: 'Trade', current_time: datetime,
current_rate: float, current_profit: float, **kwargs) -> float:
current_rate: float, current_profit: float, after_fill: bool,
**kwargs) -> float:
dataframe, _ = self.dp.get_analyzed_dataframe(pair, self.timeframe)
candle = dataframe.iloc[-1].squeeze()
return stoploss_from_absolute(current_rate - (candle['atr'] * 2), current_rate, is_short=trade.is_short)

2
docs/strategy_migration.md
View File

@ -311,7 +311,7 @@ After:
``` python hl_lines="5 7"
def custom_stoploss(self, pair: str, trade: 'Trade', current_time: datetime,
current_rate: float, current_profit: float, **kwargs) -> float:
current_rate: float, current_profit: float, after_fill: bool, **kwargs) -> float:
# once the profit has risen above 10%, keep the stoploss at 7% above the open price
if current_profit > 0.10:
return stoploss_from_open(0.07, current_profit, is_short=trade.is_short)

8
freqtrade/templates/strategy_subtemplates/strategy_methods_advanced.j2
View File

@ -102,8 +102,8 @@ def custom_stake_amount(self, pair: str, current_time: datetime, current_rate: f
use_custom_stoploss = True
def custom_stoploss(self, pair: str, trade: 'Trade', current_time: 'datetime',
current_rate: float, current_profit: float, **kwargs) -> float:
def custom_stoploss(self, pair: str, trade: Trade, current_time: datetime, current_rate: float,
current_profit: float, after_fill: bool, **kwargs) -> float:
"""
Custom stoploss logic, returning the new distance relative to current_rate (as ratio).
e.g. returning -0.05 would create a stoploss 5% below current_rate.
@ -111,7 +111,7 @@ def custom_stoploss(self, pair: str, trade: 'Trade', current_time: 'datetime',
For full documentation please go to https://www.freqtrade.io/en/latest/strategy-advanced/
When not implemented by a strategy, returns the initial stoploss value
When not implemented by a strategy, returns the initial stoploss value.
Only called when use_custom_stoploss is set to True.
:param pair: Pair that's currently analyzed
@ -119,10 +119,10 @@ def custom_stoploss(self, pair: str, trade: 'Trade', current_time: 'datetime',
:param current_time: datetime object, containing the current datetime
:param current_rate: Rate, calculated based on pricing settings in exit_pricing.
:param current_profit: Current profit (as ratio), calculated based on current_rate.
:param after_fill: True if the stoploss is called after the order was filled.
:param **kwargs: Ensure to keep this here so updates to this won't break your strategy.
:return float: New stoploss value, relative to the current_rate
"""
return self.stoploss
def custom_exit(self, pair: str, trade: 'Trade', current_time: 'datetime', current_rate: float,
current_profit: float, **kwargs) -> 'Optional[Union[str, bool]]':