Further improve hyperopt docs

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Matthias 2020-11-28 16:42:08 +01:00
parent ff286bd80c
commit 56529180eb
1 changed files with 5 additions and 5 deletions

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@ -64,9 +64,9 @@ Depending on the space you want to optimize, only some of the below are required
Optional in hyperopt - can also be loaded from a strategy (recommended):
* copy `populate_indicators` from your strategy - otherwise default-strategy will be used
* 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
* `populate_indicators` - fallback to create indicators
* `populate_buy_trend` - fallback if not optimizing for buy space. should come from strategy
* `populate_sell_trend` - fallback if not optimizing for sell space. should come from strategy
!!! Note
You always have to provide a strategy to Hyperopt, even if your custom Hyperopt class contains all methods.
@ -104,7 +104,7 @@ This command will create a new hyperopt file from a template, allowing you to ge
There are two places you need to change in your hyperopt file to add a new buy hyperopt for testing:
* Inside `indicator_space()` - the parameters hyperopt shall be optimizing.
* Inside `populate_buy_trend()` - applying the parameters.
* Within `buy_strategy_generator()` - populate the nested `populate_buy_trend()` to apply the parameters.
There you have two different types of indicators: 1. `guards` and 2. `triggers`.
@ -128,7 +128,7 @@ Similar to the buy-signal above, sell-signals can also be optimized.
Place the corresponding settings into the following methods
* Inside `sell_indicator_space()` - the parameters hyperopt shall be optimizing.
* Inside `populate_sell_trend()` - applying the parameters.
* Within `sell_strategy_generator()` - populate the nested method `populate_sell_trend()` to apply the parameters.
The configuration and rules are the same than for buy signals.
To avoid naming collisions in the search-space, please prefix all sell-spaces with `sell-`.