Enhance hyperoptable strategy to test instance parameters

tests/optimize/test_hyperopt.py

@@ -509,7 +509,6 @@ def test_generate_optimizer(mocker, hyperopt_conf) -> None:
     hyperopt.min_date = Arrow(2017, 12, 10)
     hyperopt.max_date = Arrow(2017, 12, 13)
     hyperopt.init_spaces()
-    hyperopt.dimensions = hyperopt.dimensions
     generate_optimizer_value = hyperopt.generate_optimizer(list(optimizer_param.values()))
     assert generate_optimizer_value == response_expected
 

tests/strategy/strats/hyperoptable_strategy.py

@@ -27,7 +27,6 @@ class HyperoptableStrategy(StrategyTestV2):
         'sell_minusdi': 0.4
     }
 
-    buy_rsi = IntParameter([0, 50], default=30, space='buy')
     buy_plusdi = RealParameter(low=0, high=1, default=0.5, space='buy')
     sell_rsi = IntParameter(low=50, high=100, default=70, space='sell')
     sell_minusdi = DecimalParameter(low=0, high=1, default=0.5001, decimals=3, space='sell',
@@ -45,6 +44,12 @@ class HyperoptableStrategy(StrategyTestV2):
             })
         return prot
 
+    def bot_start(self, **kwargs) -> None:
+        """
+        Parameters can also be defined here ...
+        """
+        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.

tests/strategy/test_interface.py

@@ -893,7 +893,7 @@ def test_auto_hyperopt_interface(default_conf):
     default_conf.update({'strategy': 'HyperoptableStrategy'})
     PairLocks.timeframe = default_conf['timeframe']
     strategy = StrategyResolver.load_strategy(default_conf)
-
+    strategy.ft_bot_start()
     with pytest.raises(OperationalException):
         next(strategy.enumerate_parameters('deadBeef'))