diff --git a/freqtrade/optimize/hyperopt_interface.py b/freqtrade/optimize/hyperopt_interface.py
index 8eefff99c..633c8bdd5 100644
--- a/freqtrade/optimize/hyperopt_interface.py
+++ b/freqtrade/optimize/hyperopt_interface.py
@@ -103,7 +103,7 @@ class IHyperOpt(ABC):
         roi_t_alpha = 1.0
         roi_p_alpha = 1.0
 
-        timeframe_min = timeframe_to_minutes(self.ticker_interval)
+        timeframe_min = timeframe_to_minutes(self.timeframe)
 
         # We define here limits for the ROI space parameters automagically adapted to the
         # timeframe used by the bot:
diff --git a/freqtrade/templates/sample_strategy.py b/freqtrade/templates/sample_strategy.py
index 29b550ea4..a51b30f3f 100644
--- a/freqtrade/templates/sample_strategy.py
+++ b/freqtrade/templates/sample_strategy.py
@@ -57,7 +57,7 @@ class SampleStrategy(IStrategy):
 
     # Hyperoptable parameters
     buy_rsi = IntParameter(low=1, high=50, default=30, space='buy', optimize=True, load=True)
-    sell_rsi = IntParameter(low=50, high=100, defualt=70, space='buy', optimize=True, load=True)
+    sell_rsi = IntParameter(low=50, high=100, default=70, space='sell', optimize=True, load=True)
 
     # Optimal timeframe for the strategy.
     timeframe = '5m'