Update hyperoptable strategy to use V3 interface
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@ -1398,6 +1398,7 @@ def test_api_strategies(botclient):
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assert rc.json() == {'strategies': [
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'HyperoptableStrategy',
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'HyperoptableStrategyV2',
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'InformativeDecoratorTest',
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'StrategyTestV2',
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'StrategyTestV3',
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@ -1,13 +1,13 @@
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# pragma pylint: disable=missing-docstring, invalid-name, pointless-string-statement
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from pandas import DataFrame
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from strategy_test_v2 import StrategyTestV2
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from strategy_test_v3 import StrategyTestV3
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import freqtrade.vendor.qtpylib.indicators as qtpylib
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from freqtrade.strategy import BooleanParameter, DecimalParameter, IntParameter, RealParameter
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class HyperoptableStrategy(StrategyTestV2):
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class HyperoptableStrategy(StrategyTestV3):
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"""
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Default Strategy provided by freqtrade bot.
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Please do not modify this strategy, it's intended for internal use only.
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54
tests/strategy/strats/hyperoptable_strategy_v2.py
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54
tests/strategy/strats/hyperoptable_strategy_v2.py
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@ -0,0 +1,54 @@
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# pragma pylint: disable=missing-docstring, invalid-name, pointless-string-statement
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from strategy_test_v2 import StrategyTestV2
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from freqtrade.strategy import BooleanParameter, DecimalParameter, IntParameter, RealParameter
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class HyperoptableStrategyV2(StrategyTestV2):
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"""
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Default Strategy provided by freqtrade bot.
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Please do not modify this strategy, it's intended for internal use only.
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Please look at the SampleStrategy in the user_data/strategy directory
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or strategy repository https://github.com/freqtrade/freqtrade-strategies
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for samples and inspiration.
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"""
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buy_params = {
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'buy_rsi': 35,
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# Intentionally not specified, so "default" is tested
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# 'buy_plusdi': 0.4
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}
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sell_params = {
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'sell_rsi': 74,
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'sell_minusdi': 0.4
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}
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buy_plusdi = RealParameter(low=0, high=1, default=0.5, space='buy')
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sell_rsi = IntParameter(low=50, high=100, default=70, space='sell')
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sell_minusdi = DecimalParameter(low=0, high=1, default=0.5001, decimals=3, space='sell',
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load=False)
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protection_enabled = BooleanParameter(default=True)
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protection_cooldown_lookback = IntParameter([0, 50], default=30)
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@property
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def protections(self):
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prot = []
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if self.protection_enabled.value:
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prot.append({
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"method": "CooldownPeriod",
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"stop_duration_candles": self.protection_cooldown_lookback.value
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})
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return prot
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bot_loop_started = False
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def bot_loop_start(self):
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self.bot_loop_started = True
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def bot_start(self, **kwargs) -> None:
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"""
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Parameters can also be defined here ...
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"""
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self.buy_rsi = IntParameter([0, 50], default=30, space='buy')
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@ -916,7 +916,7 @@ def test_hyperopt_parameters():
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def test_auto_hyperopt_interface(default_conf):
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default_conf.update({'strategy': 'HyperoptableStrategy'})
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default_conf.update({'strategy': 'HyperoptableStrategyV2'})
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PairLocks.timeframe = default_conf['timeframe']
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strategy = StrategyResolver.load_strategy(default_conf)
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strategy.ft_bot_start()
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@ -34,7 +34,7 @@ def test_search_all_strategies_no_failed():
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directory = Path(__file__).parent / "strats"
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strategies = StrategyResolver.search_all_objects(directory, enum_failed=False)
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assert isinstance(strategies, list)
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assert len(strategies) == 6
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assert len(strategies) == 7
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assert isinstance(strategies[0], dict)
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@ -42,10 +42,10 @@ def test_search_all_strategies_with_failed():
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directory = Path(__file__).parent / "strats"
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strategies = StrategyResolver.search_all_objects(directory, enum_failed=True)
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assert isinstance(strategies, list)
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assert len(strategies) == 7
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assert len(strategies) == 8
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# with enum_failed=True search_all_objects() shall find 2 good strategies
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# and 1 which fails to load
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assert len([x for x in strategies if x['class'] is not None]) == 6
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assert len([x for x in strategies if x['class'] is not None]) == 7
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assert len([x for x in strategies if x['class'] is None]) == 1
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