diff --git a/tests/strategy/test_interface.py b/tests/strategy/test_interface.py
index f80efb00f..f06248166 100644
--- a/tests/strategy/test_interface.py
+++ b/tests/strategy/test_interface.py
@@ -12,20 +12,13 @@ from freqtrade.configuration import TimeRange
 from freqtrade.constants import CUSTOM_TAG_MAX_LENGTH
 from freqtrade.data.dataprovider import DataProvider
 from freqtrade.data.history import load_data
-from freqtrade.enums import ExitCheckTuple, ExitType, HyperoptState, SignalDirection
+from freqtrade.enums import ExitCheckTuple, ExitType, SignalDirection
 from freqtrade.exceptions import OperationalException, StrategyError
-from freqtrade.optimize.hyperopt_tools import HyperoptStateContainer
-from freqtrade.optimize.space import SKDecimal
 from freqtrade.persistence import PairLocks, Trade
 from freqtrade.resolvers import StrategyResolver
 from freqtrade.strategy.hyper import detect_parameters
 from freqtrade.strategy.parameters import (
-    BaseParameter,
-    BooleanParameter,
-    CategoricalParameter,
-    DecimalParameter,
     IntParameter,
-    RealParameter,
 )
 from freqtrade.strategy.strategy_validation import StrategyResultValidator
 from freqtrade.util import dt_now
@@ -930,95 +923,6 @@ def test_is_informative_pairs_callback(default_conf):
     assert [] == strategy.gather_informative_pairs()
 
 
-def test_hyperopt_parameters():
-    HyperoptStateContainer.set_state(HyperoptState.INDICATORS)
-    from optuna.distributions import CategoricalDistribution, FloatDistribution, IntDistribution
-
-    with pytest.raises(OperationalException, match=r"Name is determined.*"):
-        IntParameter(low=0, high=5, default=1, name="hello")
-
-    with pytest.raises(OperationalException, match=r"IntParameter space must be.*"):
-        IntParameter(low=0, default=5, space="buy")
-
-    with pytest.raises(OperationalException, match=r"RealParameter space must be.*"):
-        RealParameter(low=0, default=5, space="buy")
-
-    with pytest.raises(OperationalException, match=r"DecimalParameter space must be.*"):
-        DecimalParameter(low=0, default=5, space="buy")
-
-    with pytest.raises(OperationalException, match=r"IntParameter space invalid\."):
-        IntParameter([0, 10], high=7, default=5, space="buy")
-
-    with pytest.raises(OperationalException, match=r"RealParameter space invalid\."):
-        RealParameter([0, 10], high=7, default=5, space="buy")
-
-    with pytest.raises(OperationalException, match=r"DecimalParameter space invalid\."):
-        DecimalParameter([0, 10], high=7, default=5, space="buy")
-
-    with pytest.raises(OperationalException, match=r"CategoricalParameter space must.*"):
-        CategoricalParameter(["aa"], default="aa", space="buy")
-
-    with pytest.raises(TypeError):
-        BaseParameter(opt_range=[0, 1], default=1, space="buy")
-
-    intpar = IntParameter(low=0, high=5, default=1, space="buy")
-    assert intpar.value == 1
-    assert isinstance(intpar.get_space(""), IntDistribution)
-    assert isinstance(intpar.range, range)
-    assert len(list(intpar.range)) == 1
-    # Range contains ONLY the default / value.
-    assert list(intpar.range) == [intpar.value]
-    intpar.in_space = True
-
-    assert len(list(intpar.range)) == 6
-    assert list(intpar.range) == [0, 1, 2, 3, 4, 5]
-
-    fltpar = RealParameter(low=0.0, high=5.5, default=1.0, space="buy")
-    assert fltpar.value == 1
-    assert isinstance(fltpar.get_space(""), FloatDistribution)
-
-    fltpar = DecimalParameter(low=0.0, high=0.5, default=0.14, decimals=1, space="buy")
-    assert fltpar.value == 0.1
-    assert isinstance(fltpar.get_space(""), SKDecimal)
-    assert isinstance(fltpar.range, list)
-    assert len(list(fltpar.range)) == 1
-    # Range contains ONLY the default / value.
-    assert list(fltpar.range) == [fltpar.value]
-    fltpar.in_space = True
-    assert len(list(fltpar.range)) == 6
-    assert list(fltpar.range) == [0.0, 0.1, 0.2, 0.3, 0.4, 0.5]
-
-    catpar = CategoricalParameter(
-        ["buy_rsi", "buy_macd", "buy_none"], default="buy_macd", space="buy"
-    )
-    assert catpar.value == "buy_macd"
-    assert isinstance(catpar.get_space(""), CategoricalDistribution)
-    assert isinstance(catpar.range, list)
-    assert len(list(catpar.range)) == 1
-    # Range contains ONLY the default / value.
-    assert list(catpar.range) == [catpar.value]
-    catpar.in_space = True
-    assert len(list(catpar.range)) == 3
-    assert list(catpar.range) == ["buy_rsi", "buy_macd", "buy_none"]
-
-    boolpar = BooleanParameter(default=True, space="buy")
-    assert boolpar.value is True
-    assert isinstance(boolpar.get_space(""), CategoricalDistribution)
-    assert isinstance(boolpar.range, list)
-    assert len(list(boolpar.range)) == 1
-
-    boolpar.in_space = True
-    assert len(list(boolpar.range)) == 2
-
-    assert list(boolpar.range) == [True, False]
-
-    HyperoptStateContainer.set_state(HyperoptState.OPTIMIZE)
-    assert len(list(intpar.range)) == 1
-    assert len(list(fltpar.range)) == 1
-    assert len(list(catpar.range)) == 1
-    assert len(list(boolpar.range)) == 1
-
-
 def test_auto_hyperopt_interface(default_conf):
     default_conf.update({"strategy": "HyperoptableStrategyV2"})
     PairLocks.timeframe = default_conf["timeframe"]
diff --git a/tests/strategy/test_strategy_parameters.py b/tests/strategy/test_strategy_parameters.py
new file mode 100644
index 000000000..9969ed373
--- /dev/null
+++ b/tests/strategy/test_strategy_parameters.py
@@ -0,0 +1,105 @@
+# pragma pylint: disable=missing-docstring, C0103
+
+import pytest
+
+from freqtrade.enums import HyperoptState
+from freqtrade.exceptions import OperationalException
+from freqtrade.optimize.hyperopt_tools import HyperoptStateContainer
+from freqtrade.optimize.space import SKDecimal
+from freqtrade.strategy.parameters import (
+    BaseParameter,
+    BooleanParameter,
+    CategoricalParameter,
+    DecimalParameter,
+    IntParameter,
+    RealParameter,
+)
+
+
+def test_hyperopt_parameters():
+    HyperoptStateContainer.set_state(HyperoptState.INDICATORS)
+    from optuna.distributions import CategoricalDistribution, FloatDistribution, IntDistribution
+
+    with pytest.raises(OperationalException, match=r"Name is determined.*"):
+        IntParameter(low=0, high=5, default=1, name="hello")
+
+    with pytest.raises(OperationalException, match=r"IntParameter space must be.*"):
+        IntParameter(low=0, default=5, space="buy")
+
+    with pytest.raises(OperationalException, match=r"RealParameter space must be.*"):
+        RealParameter(low=0, default=5, space="buy")
+
+    with pytest.raises(OperationalException, match=r"DecimalParameter space must be.*"):
+        DecimalParameter(low=0, default=5, space="buy")
+
+    with pytest.raises(OperationalException, match=r"IntParameter space invalid\."):
+        IntParameter([0, 10], high=7, default=5, space="buy")
+
+    with pytest.raises(OperationalException, match=r"RealParameter space invalid\."):
+        RealParameter([0, 10], high=7, default=5, space="buy")
+
+    with pytest.raises(OperationalException, match=r"DecimalParameter space invalid\."):
+        DecimalParameter([0, 10], high=7, default=5, space="buy")
+
+    with pytest.raises(OperationalException, match=r"CategoricalParameter space must.*"):
+        CategoricalParameter(["aa"], default="aa", space="buy")
+
+    with pytest.raises(TypeError):
+        BaseParameter(opt_range=[0, 1], default=1, space="buy")
+
+    intpar = IntParameter(low=0, high=5, default=1, space="buy")
+    assert intpar.value == 1
+    assert isinstance(intpar.get_space(""), IntDistribution)
+    assert isinstance(intpar.range, range)
+    assert len(list(intpar.range)) == 1
+    # Range contains ONLY the default / value.
+    assert list(intpar.range) == [intpar.value]
+    intpar.in_space = True
+
+    assert len(list(intpar.range)) == 6
+    assert list(intpar.range) == [0, 1, 2, 3, 4, 5]
+
+    fltpar = RealParameter(low=0.0, high=5.5, default=1.0, space="buy")
+    assert fltpar.value == 1
+    assert isinstance(fltpar.get_space(""), FloatDistribution)
+
+    fltpar = DecimalParameter(low=0.0, high=0.5, default=0.14, decimals=1, space="buy")
+    assert fltpar.value == 0.1
+    assert isinstance(fltpar.get_space(""), SKDecimal)
+    assert isinstance(fltpar.range, list)
+    assert len(list(fltpar.range)) == 1
+    # Range contains ONLY the default / value.
+    assert list(fltpar.range) == [fltpar.value]
+    fltpar.in_space = True
+    assert len(list(fltpar.range)) == 6
+    assert list(fltpar.range) == [0.0, 0.1, 0.2, 0.3, 0.4, 0.5]
+
+    catpar = CategoricalParameter(
+        ["buy_rsi", "buy_macd", "buy_none"], default="buy_macd", space="buy"
+    )
+    assert catpar.value == "buy_macd"
+    assert isinstance(catpar.get_space(""), CategoricalDistribution)
+    assert isinstance(catpar.range, list)
+    assert len(list(catpar.range)) == 1
+    # Range contains ONLY the default / value.
+    assert list(catpar.range) == [catpar.value]
+    catpar.in_space = True
+    assert len(list(catpar.range)) == 3
+    assert list(catpar.range) == ["buy_rsi", "buy_macd", "buy_none"]
+
+    boolpar = BooleanParameter(default=True, space="buy")
+    assert boolpar.value is True
+    assert isinstance(boolpar.get_space(""), CategoricalDistribution)
+    assert isinstance(boolpar.range, list)
+    assert len(list(boolpar.range)) == 1
+
+    boolpar.in_space = True
+    assert len(list(boolpar.range)) == 2
+
+    assert list(boolpar.range) == [True, False]
+
+    HyperoptStateContainer.set_state(HyperoptState.OPTIMIZE)
+    assert len(list(intpar.range)) == 1
+    assert len(list(fltpar.range)) == 1
+    assert len(list(catpar.range)) == 1
+    assert len(list(boolpar.range)) == 1