diff --git a/freqtrade/optimize/hyperopt.py b/freqtrade/optimize/hyperopt.py
index badaf2b3c..bbdc8bf27 100644
--- a/freqtrade/optimize/hyperopt.py
+++ b/freqtrade/optimize/hyperopt.py
@@ -414,30 +414,33 @@ class Hyperopt:
         # Store non-trimmed data - will be trimmed after signal generation.
         dump(preprocessed, self.data_pickle_file)
     
-    def get_asked_points(self, n_points: int) -> List[Any]:
+    def get_asked_points(self, n_points: int) -> List[List[Any]]:
         '''
+        Enforce points returned from `self.opt.ask` have not been already evaluated
+
         Steps:
         1. Try to get points using `self.opt.ask` first
         2. Discard the points that have already been evaluated
         3. Retry using `self.opt.ask` up to 3 times
         4. If still some points are missing in respect to `n_points`, random sample some points
         5. Repeat until at least `n_points` points in the `asked_non_tried` list
-        6. Return a list with legth truncated at `n_points`
+        6. Return a list with length truncated at `n_points`
         '''
         i = 0
-        asked_non_tried =  []
-        while i < 100:
-            if len(asked_non_tried) < n_points:
-                if i < 3:
-                    asked = self.opt.ask(n_points=n_points)
-                else:
-                    # use random sample if `self.opt.ask` returns points points already tried
-                    asked = self.opt.space.rvs(n_samples=n_points * 5)  
-                asked_non_tried += [x for x in asked if x not in self.opt.Xi and x not in asked_non_tried]
-                i += 1
+        asked_non_tried: List[List[Any]] = []
+        while i < 100 and len(asked_non_tried) < n_points:
+            if i < 3:
+                asked = self.opt.ask(n_points=n_points)
             else:
-                break
-        return asked_non_tried[:n_points]
+                asked = self.opt.space.rvs(n_samples=n_points * 5)
+            asked_non_tried += [x for x in asked
+                                if x not in self.opt.Xi
+                                and x not in asked_non_tried]
+            i += 1
+        if asked_non_tried:
+            return asked_non_tried[:n_points]
+        else:
+            return self.opt.ask(n_points=n_points)
 
     def start(self) -> None:
         self.random_state = self._set_random_state(self.config.get('hyperopt_random_state', None))