From c230a94d553a5b38c7118bff7ccb1a7e374f5442 Mon Sep 17 00:00:00 2001
From: hroff-1902 <hroff_raeyd9tzpttf@mail.ru>
Date: Sat, 25 Apr 2020 11:23:54 +0300
Subject: [PATCH] Fix #3065

---
 docs/hyperopt.md | 6 ++----
 1 file changed, 2 insertions(+), 4 deletions(-)

diff --git a/docs/hyperopt.md b/docs/hyperopt.md
index ad812a5ad..30a22a969 100644
--- a/docs/hyperopt.md
+++ b/docs/hyperopt.md
@@ -6,9 +6,7 @@ algorithms included in the `scikit-optimize` package to accomplish this. The
 search will burn all your CPU cores, make your laptop sound like a fighter jet
 and still take a long time.
 
-In general, the search for best parameters starts with a few random combinations and then uses Bayesian search with a
-ML regressor algorithm (currently ExtraTreesRegressor) to quickly find a combination of parameters in the search hyperspace
-that minimizes the value of the [loss function](#loss-functions).
+In general, the search for best parameters starts with a few random combinations (see [below](#reproducible-results) for more details) and then uses Bayesian search with a ML regressor algorithm (currently ExtraTreesRegressor) to quickly find a combination of parameters in the search hyperspace that minimizes the value of the [loss function](#loss-functions).
 
 Hyperopt requires historic data to be available, just as backtesting does.
 To learn how to get data for the pairs and exchange you're interested in, head over to the [Data Downloading](data-download.md) section of the documentation.
@@ -311,7 +309,7 @@ You can also enable position stacking in the configuration file by explicitly se
 
 ### Reproducible results
 
-The search for optimal parameters starts with a few (currently 30) random combinations in the hyperspace of parameters, random Hyperopt epochs. These random epochs are marked with a leading asterisk sign at the Hyperopt output.
+The search for optimal parameters starts with a few (currently 30) random combinations in the hyperspace of parameters, random Hyperopt epochs. These random epochs are marked with an asterisk character (`*`) in the first column in the Hyperopt output.
 
 The initial state for generation of these random values (random state) is controlled by the value of the `--random-state` command line option. You can set it to some arbitrary value of your choice to obtain reproducible results.