diff --git a/docs/hyperopt.md b/docs/hyperopt.md
index 81ecc8ed3..1fbd59dd4 100644
--- a/docs/hyperopt.md
+++ b/docs/hyperopt.md
@@ -31,7 +31,6 @@ Depending on the space you want to optimize, only some of the below are required
 * Optional but recommended
   * copy `populate_buy_trend` from your strategy - otherwise default-strategy will be used
   * copy `populate_sell_trend` from your strategy - otherwise default-strategy will be used
-* Add custom loss-function `hyperopt_loss_custom` (Details below)
 
 ### 1. Install a Custom Hyperopt File
 
@@ -200,7 +199,9 @@ class SuperDuperHyperOptLoss(IHyperOptLoss):
 
 Currently, the arguments are:
 
-* `results`: DataFrame containing the result
+* `results`: DataFrame containing the result  
+    The following columns are available in results (corresponds to the output of backtesting):  
+    `pair, profit_percent, profit_abs, open_time, close_time, open_index, close_index, trade_duration, open_at_end, open_rate, close_rate, sell_reason` 
 * `trade_count`: Amount of trades (identical to `len(results)`)
 * `min_date`: Start date of the hyperopting TimeFrame
 * `min_date`: End date of the hyperopting TimeFrame