Add few missing info on shorting setup
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@@ -235,7 +235,7 @@ def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFram
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Short-trades need to be supported by your exchange and market configuration!
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Please make sure to set [`can_short`]() appropriately on your strategy if you intend to short.
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```python
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```python
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def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
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dataframe.loc[
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(
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@@ -256,7 +256,26 @@ def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFram
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['enter_short', 'enter_tag']] = (1, 'rsi_cross')
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return dataframe
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```
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```
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!!! Note
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`enter_long` column must be set, even when your strategy is a shorting-only strategy. On other hand, enter_short is an optional column and don't need to be set if the strategy is a long-only strategy
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```python
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def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
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dataframe.loc[: ,'enter_long'] = 0
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dataframe.loc[
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(
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(qtpylib.crossed_below(dataframe['rsi'], 70)) & # Signal: RSI crosses below 70
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(dataframe['tema'] > dataframe['bb_middleband']) & # Guard
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(dataframe['tema'] < dataframe['tema'].shift(1)) & # Guard
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(dataframe['volume'] > 0) # Make sure Volume is not 0
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),
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['enter_short', 'enter_tag']] = (1, 'rsi_cross')
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return dataframe
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```
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!!! Note
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Buying requires sellers to buy from - therefore volume needs to be > 0 (`dataframe['volume'] > 0`) to make sure that the bot does not buy/sell in no-activity periods.
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