diff --git a/docs/hyperopt.md b/docs/hyperopt.md
index 9542d5725..1ca371e3d 100644
--- a/docs/hyperopt.md
+++ b/docs/hyperopt.md
@@ -375,22 +375,27 @@ Buy hyperspace params:
     'rsi-enabled': True,
     'trigger': 'bb_lower'}
 ROI table:
-{   0: 0.10674752302642071,
-    21: 0.09158372701087236,
-    78: 0.03634636907306948,
+{   0: 0.10674,
+    21: 0.09158,
+    78: 0.03634,
     118: 0}
 ```
 
-This would translate to the following ROI table:
+In order to use this best ROI table found by Hyperopt in backtesting and for live trades/dry-run, copy-paste it as the value of the `minimal_roi` attribute of your custom strategy:
 
-``` python
-minimal_roi = {
-        "118": 0,
-        "78": 0.0363,
-        "21": 0.0915,
-        "0": 0.106
+```
+    # Minimal ROI designed for the strategy.
+    # This attribute will be overridden if the config file contains "minimal_roi"
+    minimal_roi = {
+        0: 0.10674,
+        21: 0.09158,
+        78: 0.03634,
+        118: 0
     }
 ```
+As stated in the comment, you can also use it as the value of the `minimal_roi` setting in the configuration file.
+
+#### Default ROI Search Space
 
 If you are optimizing ROI, Freqtrade creates the 'roi' optimization hyperspace for you -- it's the hyperspace of components for the ROI tables. By default, each ROI table generated by the Freqtrade consists of 4 rows (steps). Hyperopt implements adaptive ranges for ROI tables with ranges for values in the ROI steps that depend on the ticker_interval used. By default the values can vary in the following ranges (for some of the most used ticker intervals, values are rounded to 5 digits after the decimal point):
 
@@ -422,10 +427,21 @@ Buy hyperspace params:
     'adx-enabled': False,
     'rsi-enabled': True,
     'trigger': 'bb_lower'}
-Stoploss: -0.37996664668703606
+Stoploss: -0.27996
 ```
 
-If you are optimizing stoploss values, Freqtrade creates the 'stoploss' optimization hyperspace for you. By default, the stoploss values in that hyperspace can vary in the range -0.5...-0.02, which is sufficient in most cases.
+In order to use this best stoploss value found by Hyperopt in backtesting and for live trades/dry-run, copy-paste it as the value of the `stoploss` attribute of your custom strategy:
+
+```
+    # Optimal stoploss designed for the strategy
+    # This attribute will be overridden if the config file contains "stoploss"
+    stoploss = -0.27996
+```
+As stated in the comment, you can also use it as the value of the `stoploss` setting in the configuration file.
+
+#### Default Stoploss Search Space
+
+If you are optimizing stoploss values, Freqtrade creates the 'stoploss' optimization hyperspace for you. By default, the stoploss values in that hyperspace can vary in the range -0.35...-0.02, which is sufficient in most cases.
 
 If you have the `stoploss_space()` method in your custom hyperopt file, remove it in order to utilize Stoploss hyperoptimization space generated by Freqtrade by default.