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Update docs for populate_exit_trend

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Matthias
2022-03-12 10:50:01 +01:00
parent 59791b0659
commit d27a37be0d
5 changed files with 13 additions and 13 deletions
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docs/strategy-customization.md
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@@ -101,7 +101,7 @@ With this section, you have a new column in your dataframe, which has `1` assign
Buy and sell strategies need indicators. You can add more indicators by extending the list contained in the method `populate_indicators()` from your strategy file.
You should only add the indicators used in either `populate_entry_trend()`, `populate_sell_trend()`, or to populate another indicator, otherwise performance may suffer.
You should only add the indicators used in either `populate_entry_trend()`, `populate_exit_trend()`, or to populate another indicator, otherwise performance may suffer.
It's important to always return the dataframe without removing/modifying the columns `"open", "high", "low", "close", "volume"`, otherwise these fields would contain something unexpected.
@@ -263,7 +263,7 @@ def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFram
### Exit signal rules
Edit the method `populate_sell_trend()` into your strategy file to update your sell strategy.
Edit the method `populate_exit_trend()` into your strategy file to update your sell strategy.
Please note that the sell-signal is only used if `use_sell_signal` is set to true in the configuration.
It's important to always return the dataframe without removing/modifying the columns `"open", "high", "low", "close", "volume"`, otherwise these fields would contain something unexpected.
@@ -273,7 +273,7 @@ This method will also define a new column, `"exit_long"`, which needs to contain
Sample from `user_data/strategies/sample_strategy.py`:
```python
def populate_sell_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
"""
Based on TA indicators, populates the sell signal for the given dataframe
:param dataframe: DataFrame populated with indicators
@@ -297,7 +297,7 @@ def populate_sell_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame
Short-trades need to be supported by your exchange and market configuration!
```python
def populate_sell_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
dataframe.loc[
(
(qtpylib.crossed_above(dataframe['rsi'], 70)) & # Signal: RSI crosses above 70
@@ -397,7 +397,7 @@ Disabling of this will have short signals ignored (also in futures markets).
### Metadata dict
The metadata-dict (available for `populate_entry_trend`, `populate_sell_trend`, `populate_indicators`) contains additional information.
The metadata-dict (available for `populate_entry_trend`, `populate_exit_trend`, `populate_indicators`) contains additional information.
Currently this is `pair`, which can be accessed using `metadata['pair']` - and will return a pair in the format `XRP/BTC`.
The Metadata-dict should not be modified and does not persist information across multiple calls.
@@ -1050,7 +1050,7 @@ if self.config['runmode'].value in ('live', 'dry_run'):
## Print created dataframe
To inspect the created dataframe, you can issue a print-statement in either `populate_entry_trend()` or `populate_sell_trend()`.
To inspect the created dataframe, you can issue a print-statement in either `populate_entry_trend()` or `populate_exit_trend()`.
You may also want to print the pair so it's clear what data is currently shown.
``` python