diff --git a/docs/hyperopt.md b/docs/hyperopt.md
index 45528edab..beef414bf 100644
--- a/docs/hyperopt.md
+++ b/docs/hyperopt.md
@@ -375,23 +375,12 @@ 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:
-
-``` python
-minimal_roi = {
-        "118": 0,
-        "78": 0.0363,
-        "21": 0.0915,
-        "0": 0.106
-    }
-```
-
 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):
 
 | # step | 1m |  | 5m |  | 1h |  | 1d |  |