diff --git a/docs/hyperopt.md b/docs/hyperopt.md
index b4e42de16..79ea4771b 100644
--- a/docs/hyperopt.md
+++ b/docs/hyperopt.md
@@ -122,9 +122,10 @@ So let's write the buy strategy using these values:
                         dataframe['macd'], dataframe['macdsignal']
                     ))
 
-            dataframe.loc[
-                reduce(lambda x, y: x & y, conditions),
-                'buy'] = 1
+            if conditions:
+                dataframe.loc[
+                    reduce(lambda x, y: x & y, conditions),
+                    'buy'] = 1
 
             return dataframe
 
diff --git a/freqtrade/optimize/default_hyperopt.py b/freqtrade/optimize/default_hyperopt.py
index 721848d2e..7f1cb2435 100644
--- a/freqtrade/optimize/default_hyperopt.py
+++ b/freqtrade/optimize/default_hyperopt.py
@@ -70,9 +70,10 @@ class DefaultHyperOpts(IHyperOpt):
                         dataframe['close'], dataframe['sar']
                     ))
 
-            dataframe.loc[
-                reduce(lambda x, y: x & y, conditions),
-                'buy'] = 1
+            if conditions:
+                dataframe.loc[
+                    reduce(lambda x, y: x & y, conditions),
+                    'buy'] = 1
 
             return dataframe
 
@@ -129,9 +130,10 @@ class DefaultHyperOpts(IHyperOpt):
                         dataframe['sar'], dataframe['close']
                     ))
 
-            dataframe.loc[
-                reduce(lambda x, y: x & y, conditions),
-                'sell'] = 1
+            if conditions:
+                dataframe.loc[
+                    reduce(lambda x, y: x & y, conditions),
+                    'sell'] = 1
 
             return dataframe
 
diff --git a/user_data/hyperopts/sample_hyperopt.py b/user_data/hyperopts/sample_hyperopt.py
index 54f65a7e6..7cb55378e 100644
--- a/user_data/hyperopts/sample_hyperopt.py
+++ b/user_data/hyperopts/sample_hyperopt.py
@@ -79,9 +79,10 @@ class SampleHyperOpts(IHyperOpt):
                         dataframe['close'], dataframe['sar']
                     ))
 
-            dataframe.loc[
-                reduce(lambda x, y: x & y, conditions),
-                'buy'] = 1
+            if conditions:
+                dataframe.loc[
+                    reduce(lambda x, y: x & y, conditions),
+                    'buy'] = 1
 
             return dataframe
 
@@ -138,9 +139,10 @@ class SampleHyperOpts(IHyperOpt):
                         dataframe['sar'], dataframe['close']
                     ))
 
-            dataframe.loc[
-                reduce(lambda x, y: x & y, conditions),
-                'sell'] = 1
+            if conditions:
+                dataframe.loc[
+                    reduce(lambda x, y: x & y, conditions),
+                    'sell'] = 1
 
             return dataframe