diff --git a/docs/advanced-hyperopt.md b/docs/advanced-hyperopt.md
index c3f286135..ff0521f4f 100644
--- a/docs/advanced-hyperopt.md
+++ b/docs/advanced-hyperopt.md
@@ -75,7 +75,7 @@ This function needs to return a floating point number (`float`). Smaller numbers
 
 ## Overriding pre-defined spaces
 
-To override a pre-defined space (`roi_space`, `generate_roi_table`, `stoploss_space`, `trailing_space`, `trades_space`), define a nested class called Hyperopt and define the required spaces as follows:
+To override a pre-defined space (`roi_space`, `generate_roi_table`, `stoploss_space`, `trailing_space`, `max_open_trades_space`), define a nested class called Hyperopt and define the required spaces as follows:
 
 ```python
 from freqtrade.optimize.space import Categorical, Dimension, Integer, SKDecimal
@@ -125,7 +125,7 @@ class MyAwesomeStrategy(IStrategy):
         ]
 
         # Define a custom max_open_trades space
-        def trades_space(self) -> List[Dimension]:
+        def max_open_trades_space(self) -> List[Dimension]:
             return [
                 Integer(-1, 10, name='max_open_trades'),
             ]
diff --git a/docs/hyperopt.md b/docs/hyperopt.md
index c105dceed..19bffd742 100644
--- a/docs/hyperopt.md
+++ b/docs/hyperopt.md
@@ -180,7 +180,7 @@ Rarely you may also need to create a [nested class](advanced-hyperopt.md#overrid
 * `generate_roi_table` - for custom ROI optimization (if you need the ranges for the values in the ROI table that differ from default or the number of entries (steps) in the ROI table which differs from the default 4 steps)
 * `stoploss_space` - for custom stoploss optimization (if you need the range for the stoploss parameter in the optimization hyperspace that differs from default)
 * `trailing_space` - for custom trailing stop optimization (if you need the ranges for the trailing stop parameters in the optimization hyperspace that differ from default)
-* `trades_space` - for custom max_open_trades optimization (if you need the ranges for the max_open_trades parameter in the optimization hyperspace that differ from default)
+* `max_open_trades_space` - for custom max_open_trades optimization (if you need the ranges for the max_open_trades parameter in the optimization hyperspace that differ from default)
 
 !!! Tip "Quickly optimize ROI, stoploss and trailing stoploss"
     You can quickly optimize the spaces `roi`, `stoploss` and `trailing` without changing anything in your strategy.
diff --git a/freqtrade/optimize/hyperopt.py b/freqtrade/optimize/hyperopt.py
index 2e0dbdd65..96c95c4a2 100644
--- a/freqtrade/optimize/hyperopt.py
+++ b/freqtrade/optimize/hyperopt.py
@@ -74,7 +74,7 @@ class Hyperopt:
         self.roi_space: List[Dimension] = []
         self.stoploss_space: List[Dimension] = []
         self.trailing_space: List[Dimension] = []
-        self.trades_space: List[Dimension] = []
+        self.max_open_trades_space: List[Dimension] = []
         self.dimensions: List[Dimension] = []
 
         self.config = config
@@ -288,11 +288,11 @@ class Hyperopt:
 
         if HyperoptTools.has_space(self.config, 'trades'):
             logger.debug("Hyperopt has 'trades' space")
-            self.trades_space = self.custom_hyperopt.trades_space()
+            self.max_open_trades_space = self.custom_hyperopt.max_open_trades_space()
 
         self.dimensions = (self.buy_space + self.sell_space + self.protection_space
                            + self.roi_space + self.stoploss_space + self.trailing_space
-                           + self.trades_space)
+                           + self.max_open_trades_space)
 
     def assign_params(self, params_dict: Dict, category: str) -> None:
         """
diff --git a/freqtrade/optimize/hyperopt_auto.py b/freqtrade/optimize/hyperopt_auto.py
index 0627b52c3..13c036a28 100644
--- a/freqtrade/optimize/hyperopt_auto.py
+++ b/freqtrade/optimize/hyperopt_auto.py
@@ -91,8 +91,8 @@ class HyperOptAuto(IHyperOpt):
     def trailing_space(self) -> List['Dimension']:
         return self._get_func('trailing_space')()
 
-    def trades_space(self) -> List['Dimension']:
-        return self._get_func('trades_space')()
+    def max_open_trades_space(self) -> List['Dimension']:
+        return self._get_func('max_open_trades_space')()
 
     def generate_estimator(self, dimensions: List['Dimension'], **kwargs) -> EstimatorType:
         return self._get_func('generate_estimator')(dimensions=dimensions, **kwargs)
diff --git a/freqtrade/optimize/hyperopt_interface.py b/freqtrade/optimize/hyperopt_interface.py
index 25f65cf22..65dd7ed87 100644
--- a/freqtrade/optimize/hyperopt_interface.py
+++ b/freqtrade/optimize/hyperopt_interface.py
@@ -191,7 +191,7 @@ class IHyperOpt(ABC):
             Categorical([True, False], name='trailing_only_offset_is_reached'),
         ]
 
-    def trades_space(self) -> List[Dimension]:
+    def max_open_trades_space(self) -> List[Dimension]:
         """
         Create a max open trades space.
 
diff --git a/tests/optimize/test_hyperopt.py b/tests/optimize/test_hyperopt.py
index 4a8455fa7..36ceaeab2 100644
--- a/tests/optimize/test_hyperopt.py
+++ b/tests/optimize/test_hyperopt.py
@@ -1088,7 +1088,8 @@ def test_max_open_trades_consistency(mocker, hyperopt_conf, tmpdir, fee) -> None
 
     assert isinstance(hyperopt.custom_hyperopt, HyperOptAuto)
 
-    hyperopt.custom_hyperopt.trades_space = lambda: [Integer(1, 10, name='max_open_trades')]
+    hyperopt.custom_hyperopt.max_open_trades_space = lambda: [
+        Integer(1, 10, name='max_open_trades')]
 
     first_time_evaluated = False