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chore: update hyperopt test strategy to new interface

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Matthias
2025-10-19 12:55:00 +02:00
parent be16ffea23
commit 8526733b36
1 changed files with 5 additions and 32 deletions
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37
tests/strategy/strats/hyperoptable_strategy.py
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@@ -16,6 +16,7 @@ class HyperoptableStrategy(StrategyTestV3):
for samples and inspiration.
"""
INTERFACE_VERSION = 3
buy_params = {
"buy_rsi": 35,
# Intentionally not specified, so "default" is tested
@@ -56,32 +57,10 @@ class HyperoptableStrategy(StrategyTestV3):
self.bot_loop_started = True
def bot_start(self, **kwargs) -> None:
"""
Parameters can also be defined here ...
"""
self.bot_started = True
self.buy_rsi = IntParameter([0, 50], default=30, space="buy")
def informative_pairs(self):
"""
Define additional, informative pair/interval combinations to be cached from the exchange.
These pair/interval combinations are non-tradeable, unless they are part
of the whitelist as well.
For more information, please consult the documentation
:return: List of tuples in the format (pair, interval)
Sample: return [("ETH/USDT", "5m"),
("BTC/USDT", "15m"),
]
"""
return []
def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
"""
Based on TA indicators, populates the buy signal for the given dataframe
:param dataframe: DataFrame
:param metadata: Additional information, like the currently traded pair
:return: DataFrame with buy column
"""
def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
dataframe.loc[
(
(dataframe["rsi"] < self.buy_rsi.value)
@@ -90,18 +69,12 @@ class HyperoptableStrategy(StrategyTestV3):
& (dataframe["plus_di"] > self.buy_plusdi.value)
)
| ((dataframe["adx"] > 65) & (dataframe["plus_di"] > self.buy_plusdi.value)),
"buy",
"enter_long",
] = 1
return dataframe
def populate_sell_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
"""
Based on TA indicators, populates the sell signal for the given dataframe
:param dataframe: DataFrame
:param metadata: Additional information, like the currently traded pair
:return: DataFrame with sell column
"""
def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
dataframe.loc[
(
(
@@ -112,6 +85,6 @@ class HyperoptableStrategy(StrategyTestV3):
& (dataframe["minus_di"] > 0)
)
| ((dataframe["adx"] > 70) & (dataframe["minus_di"] > self.sell_minusdi.value)),
"sell",
"exit_long",
] = 1
return dataframe