diff --git a/freqtrade/main.py b/freqtrade/main.py
index 163597eee..da17b6586 100755
--- a/freqtrade/main.py
+++ b/freqtrade/main.py
@@ -302,7 +302,7 @@ def min_roi_reached(trade: Trade, current_rate: float, current_time: datetime) -
 
     # Check if time matches and current rate is above threshold
     time_diff = (current_time - trade.open_date).total_seconds() / 60
-    for duration, threshold in sorted(strategy.minimal_roi.items()):
+    for duration, threshold in strategy.minimal_roi.items():
         if time_diff > float(duration) and current_profit > threshold:
             return True
 
diff --git a/freqtrade/strategy/strategy.py b/freqtrade/strategy/strategy.py
index 7ea8e81ac..9ef5a2071 100644
--- a/freqtrade/strategy/strategy.py
+++ b/freqtrade/strategy/strategy.py
@@ -7,6 +7,7 @@ import os
 import sys
 import logging
 import importlib
+from collections import OrderedDict
 
 from pandas import DataFrame
 from freqtrade.strategy.interface import IStrategy
@@ -69,7 +70,9 @@ class Strategy(object):
             )
 
         # Minimal ROI designed for the strategy
-        self.minimal_roi = self.custom_strategy.minimal_roi
+        self.minimal_roi = OrderedDict(sorted(
+            self.custom_strategy.minimal_roi.items(),
+            key=lambda tuple: float(tuple[0])))  # sort after converting to number
 
         # Optimal stoploss designed for the strategy
         self.stoploss = self.custom_strategy.stoploss