From 43b41324e2517924ae24e9eca35d0568bcf4bd87 Mon Sep 17 00:00:00 2001
From: Matthias <xmatthias@outlook.com>
Date: Mon, 12 Aug 2019 06:45:27 +0200
Subject: [PATCH] Improve hyperopt-loss docs

---
 docs/bot-usage.md                      | 9 +++++----
 docs/hyperopt.md                       | 6 +++++-
 freqtrade/configuration/cli_options.py | 4 +++-
 3 files changed, 13 insertions(+), 6 deletions(-)

diff --git a/docs/bot-usage.md b/docs/bot-usage.md
index 0ca2f3cc5..9833bb43d 100644
--- a/docs/bot-usage.md
+++ b/docs/bot-usage.md
@@ -256,12 +256,13 @@ optional arguments:
   --continue            Continue hyperopt from previous runs. By default,
                         temporary files will be removed and hyperopt will
                         start from scratch.
-  --hyperopt-loss       NAME
-                        Specify the class name of the hyperopt loss function
+  --hyperopt-loss NAME  Specify the class name of the hyperopt loss function
                         class (IHyperOptLoss). Different functions can
                         generate completely different results, since the
-                        target for optimization is different. (default:
-                        `DefaultHyperOptLoss`).
+                        target for optimization is different. Built-in
+                        Hyperopt-loss-functions are: DefaultHyperOptLoss,
+                        OnlyProfitHyperOptLoss, SharpeHyperOptLoss.
+                        (default: `DefaultHyperOptLoss`).
 ```
 
 ## Edge commands
diff --git a/docs/hyperopt.md b/docs/hyperopt.md
index 6ef68d82f..918361c52 100644
--- a/docs/hyperopt.md
+++ b/docs/hyperopt.md
@@ -164,7 +164,11 @@ By default, FreqTrade uses a loss function, which has been with freqtrade since
 A different loss function can be specified by using the `--hyperopt-loss <Class-name>` argument.
 This class should be in its own file within the `user_data/hyperopts/` directory.
 
-Currently, the following loss functions are builtin: `DefaultHyperOptLoss` (default legacy Freqtrade hyperoptimization loss function), `SharpeHyperOptLoss` (optimizes Sharpe Ratio calculated on the trade returns) and `OnlyProfitHyperOptLoss` (which takes only amount of profit into consideration).
+Currently, the following loss functions are builtin:
+
+* `DefaultHyperOptLoss` (default legacy Freqtrade hyperoptimization loss function)
+* `OnlyProfitHyperOptLoss` (which takes only amount of profit into consideration)
+* `SharpeHyperOptLoss` (optimizes Sharpe Ratio calculated on the trade returns)
 
 ### Creating and using a custom loss function
 
diff --git a/freqtrade/configuration/cli_options.py b/freqtrade/configuration/cli_options.py
index 04554c386..771cdfb80 100644
--- a/freqtrade/configuration/cli_options.py
+++ b/freqtrade/configuration/cli_options.py
@@ -226,7 +226,9 @@ AVAILABLE_CLI_OPTIONS = {
         '--hyperopt-loss',
         help='Specify the class name of the hyperopt loss function class (IHyperOptLoss). '
         'Different functions can generate completely different results, '
-        'since the target for optimization is different. (default: `%(default)s`).',
+        'since the target for optimization is different. Built-in Hyperopt-loss-functions are: '
+        'DefaultHyperOptLoss, OnlyProfitHyperOptLoss, SharpeHyperOptLoss.'
+        '(default: `%(default)s`).',
         metavar='NAME',
         default=constants.DEFAULT_HYPEROPT_LOSS,
     ),