diff --git a/freqtrade/optimize/hyperopt.py b/freqtrade/optimize/hyperopt.py
index 35f382469..2883199a9 100644
--- a/freqtrade/optimize/hyperopt.py
+++ b/freqtrade/optimize/hyperopt.py
@@ -422,16 +422,23 @@ class Hyperopt:
         5. Repeat until at least `n_points` points in the `asked_non_tried` list
         6. Return a list with length truncated at `n_points`
         '''
+        def unique_list(a_list):
+            seen = []
+            for x in a_list:
+                key = repr(x)
+                if key not in seen:
+                    seen.append(eval(key))
+            return seen
         i = 0
         asked_non_tried: List[List[Any]] = []
         is_random: List[bool] = []
         while i < 5 and len(asked_non_tried) < n_points:
             if i < 3:
                 self.opt.cache_ = {}
-                asked = self.opt.ask(n_points=n_points * 5)
+                asked = unique_list(self.opt.ask(n_points=n_points * 5))
                 is_random = [False for _ in range(len(asked))]
             else:
-                asked = self.opt.space.rvs(n_samples=n_points * 5)
+                asked = unique_list(self.opt.space.rvs(n_samples=n_points * 5))
                 is_random = [True for _ in range(len(asked))]
             asked_non_tried += [x for x in asked
                                 if x not in self.opt.Xi