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Update helpers documentation for is_short
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@ -283,11 +283,11 @@ class AwesomeStrategy(IStrategy):
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# evaluate highest to lowest, so that highest possible stop is used
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if current_profit > 0.40:
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return stoploss_from_open(0.25, current_profit)
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return stoploss_from_open(0.25, current_profit, is_short=trade.is_short)
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elif current_profit > 0.25:
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return stoploss_from_open(0.15, current_profit)
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return stoploss_from_open(0.15, current_profit, is_short=trade.is_short)
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elif current_profit > 0.20:
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return stoploss_from_open(0.07, current_profit)
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return stoploss_from_open(0.07, current_profit, is_short=trade.is_short)
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# return maximum stoploss value, keeping current stoploss price unchanged
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return 1
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@ -791,7 +791,7 @@ Stoploss values returned from `custom_stoploss` must specify a percentage relati
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Say the open price was $100, and `current_price` is $121 (`current_profit` will be `0.21`).
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If we want a stop price at 7% above the open price we can call `stoploss_from_open(0.07, current_profit)` which will return `0.1157024793`. 11.57% below $121 is $107, which is the same as 7% above $100.
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If we want a stop price at 7% above the open price we can call `stoploss_from_open(0.07, current_profit, False)` which will return `0.1157024793`. 11.57% below $121 is $107, which is the same as 7% above $100.
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``` python
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@ -811,7 +811,7 @@ Stoploss values returned from `custom_stoploss` must specify a percentage relati
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# once the profit has risen above 10%, keep the stoploss at 7% above the open price
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if current_profit > 0.10:
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return stoploss_from_open(0.07, current_profit)
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return stoploss_from_open(0.07, current_profit, is_short=trade.is_short)
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return 1
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@ -832,7 +832,7 @@ In some situations it may be confusing to deal with stops relative to current ra
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??? Example "Returning a stoploss using absolute price from the custom stoploss function"
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If we want to trail a stop price at 2xATR below current proce we can call `stoploss_from_absolute(current_rate - (candle['atr'] * 2), current_rate)`.
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If we want to trail a stop price at 2xATR below current proce we can call `stoploss_from_absolute(current_rate - (candle['atr'] * 2), current_rate, is_short=trade.is_short)`.
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``` python
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@ -852,7 +852,7 @@ In some situations it may be confusing to deal with stops relative to current ra
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current_rate: float, current_profit: float, **kwargs) -> float:
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dataframe, _ = self.dp.get_analyzed_dataframe(pair, self.timeframe)
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candle = dataframe.iloc[-1].squeeze()
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return stoploss_from_absolute(current_rate - (candle['atr'] * 2), current_rate)
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return stoploss_from_absolute(current_rate - (candle['atr'] * 2, is_short=trade.is_short), current_rate)
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```
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