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docs: Update "tag" examples with advanced examples

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Matthias
2025-07-05 08:56:10 +02:00
parent 5f4184536a
commit e98f3cfedf
1 changed files with 36 additions and 13 deletions
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49
docs/strategy-advanced.md
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@@ -174,17 +174,27 @@ class AwesomeStrategy(IStrategy):
## Enter Tag
When your strategy has multiple buy signals, you can name the signal that triggered.
Then you can access your buy signal on `custom_exit`
When your strategy has multiple entry signals, you can name the signal that triggered.
Then you can access your entry signal on `custom_exit`
```python
def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
dataframe["enter_tag"] = ""
signal_rsi = (qtpylib.crossed_above(dataframe["rsi"], 35))
signal_bblower = (dataframe["bb_lowerband"] < dataframe["close"])
# Additional conditions
dataframe.loc[
(
(dataframe['rsi'] < 35) &
(dataframe['volume'] > 0)
),
['enter_long', 'enter_tag']] = (1, 'buy_signal_rsi')
signal_rsi
| signal_bblower
# ... additional signals to enter a long position
)
& (dataframe["volume"] > 0)
, "enter_long"
] = 1
# Concatenate the tags so all signals are kept
dataframe.loc[signal_rsi, "enter_tag"] += "long_signal_rsi "
dataframe.loc[signal_bblower, "enter_tag"] += "long_signal_bblower "
return dataframe
@@ -192,8 +202,11 @@ def custom_exit(self, pair: str, trade: Trade, current_time: datetime, current_r
current_profit: float, **kwargs):
dataframe, _ = self.dp.get_analyzed_dataframe(pair, self.timeframe)
last_candle = dataframe.iloc[-1].squeeze()
if trade.enter_tag == 'buy_signal_rsi' and last_candle['rsi'] > 80:
return 'sell_signal_rsi'
if "long_signal_rsi" in trade.enter_tag and last_candle["rsi"] > 80:
return "exit_signal_rsi"
if "long_signal_bblower" in trade.enter_tag and last_candle["high"] > last_candle["bb_upperband"]:
return "exit_signal_bblower"
# ...
return None
```
@@ -213,17 +226,27 @@ Similar to [Entry Tagging](#enter-tag), you can also specify an exit tag.
``` python
def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
dataframe["exit_tag"] = ""
rsi_exit_signal = (dataframe["rsi"] > 70)
ema_exit_signal = (dataframe["ema20"] < dataframe["ema50"])
# Additional conditions
dataframe.loc[
(
(dataframe['rsi'] > 70) &
(dataframe['volume'] > 0)
),
['exit_long', 'exit_tag']] = (1, 'exit_rsi')
rsi_exit_signal
| ema_exit_signal
# ... additional signals to exit a long position
) &
(dataframe["volume"] > 0)
,
"exit_long"] = 1
# Concatenate the tags so all signals are kept
dataframe.loc[rsi_exit_signal, "exit_tag"] += "exit_signal_rsi "
dataframe.loc[rsi_exit_signal2, "exit_tag"] += "exit_signal_rsi "
return dataframe
```
The provided exit-tag is then used as sell-reason - and shown as such in backtest results.
The provided exit-tag is then used as exit-reason - and shown as such in backtest results.
!!! Note
`exit_reason` is limited to 100 characters, remaining data will be truncated.