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en/develop/commands/hyperopt/index.html

@@ -1610,6 +1610,7 @@
                           [--random-state INT] [--min-trades INT]
                           [--hyperopt-loss NAME] [--disable-param-export]
                           [--ignore-missing-spaces] [--analyze-per-epoch]
+                          [--early-stop INT]
 
 options:
   -h, --help            show this help message and exit
@@ -1681,6 +1682,8 @@ options:
                         Suppress errors for any requested Hyperopt spaces that
                         do not contain any parameters.
   --analyze-per-epoch   Run populate_indicators once per epoch.
+  --early-stop INT      Early stop hyperopt if no improvement after (default:
+                        0) epochs.
 
 Common arguments:
   -v, --verbose         Verbose mode (-vv for more, -vvv to get all messages).

en/develop/hyperopt/index.html

@@ -2560,6 +2560,7 @@ pip<span class="w"> </span>install<span class="w"> </span>-r<span class="w"> </s
                           [--random-state INT] [--min-trades INT]
                           [--hyperopt-loss NAME] [--disable-param-export]
                           [--ignore-missing-spaces] [--analyze-per-epoch]
+                          [--early-stop INT]
 
 options:
   -h, --help            show this help message and exit
@@ -2631,6 +2632,8 @@ options:
                         Suppress errors for any requested Hyperopt spaces that
                         do not contain any parameters.
   --analyze-per-epoch   Run populate_indicators once per epoch.
+  --early-stop INT      Early stop hyperopt if no improvement after (default:
+                        0) epochs.
 
 Common arguments:
   -v, --verbose         Verbose mode (-vv for more, -vvv to get all messages).
@@ -3061,7 +3064,8 @@ Because hyperopt tries a lot of combinations to find the best parameters it will
 <div class="highlight"><pre><span></span><code>freqtrade<span class="w"> </span>hyperopt<span class="w"> </span>--config<span class="w"> </span>config.json<span class="w"> </span>--hyperopt-loss<span class="w"> </span>&lt;hyperoptlossname&gt;<span class="w"> </span>--strategy<span class="w"> </span>&lt;strategyname&gt;<span class="w"> </span>-e<span class="w"> </span><span class="m">500</span><span class="w"> </span>--spaces<span class="w"> </span>all
 </code></pre></div>
 <p>The <code>-e</code> option will set how many evaluations hyperopt will do. Since hyperopt uses Bayesian search, running too many epochs at once may not produce greater results. Experience has shown that best results are usually not improving much after 500-1000 epochs.<br />
-Doing multiple runs (executions) with a few 1000 epochs and different random state will most likely produce different results.</p>
+The <code>--early-stop</code> option will set after how many epochs with no improvements hyperopt will stop. A good value is 20-30% of the total epochs. Any value greater than 0 and lower than 20 it will be replaced by 20. Early stop is by default disabled (<code>--early-stop=0</code>)</p>
+<p>Doing multiple runs (executions) with a few 1000 epochs and different random state will most likely produce different results.</p>
 <p>The <code>--spaces all</code> option determines that all possible parameters should be optimized. Possibilities are listed below.</p>
 <div class="admonition note">
 <p class="admonition-title">Note</p>