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docs: at enter/exit spaces as builtin spaces

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Matthias
2025-11-06 20:33:07 +01:00
parent 649aff8076
commit b32ba68a6e
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docs/hyperopt.md
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@@ -46,12 +46,17 @@ Depending on the space you want to optimize, only some of the below are required
* define parameters with `space='buy'` - for entry signal optimization
* define parameters with `space='sell'` - for exit signal optimization
* define parameters with `space='enter'` - for entry signal optimization
* define parameters with `space='exit'` - for exit signal optimization
* define parameters with `space='protection'` - for protection optimization
* define parameters with `space='random_spacename'` - for better control over which parameters are optimized together
Pick the space name that suits the parameter best. We recommend to use either `buy` / `sell` or `enter` / `exit` for clarity (however there's no technical limitation in this regard).
!!! Note
`populate_indicators` needs to create all indicators any of the spaces may use, otherwise hyperopt will not work.
Rarely you may also need to create a [nested class](advanced-hyperopt.md#overriding-pre-defined-spaces) named `HyperOpt` and implement
* `roi_space` - for custom ROI optimization (if you need the ranges for the ROI parameters in the optimization hyperspace that differ from default)
@@ -532,6 +537,8 @@ Legal values are:
* `all`: optimize everything (including custom spaces)
* `buy`: just search for a new buy strategy
* `sell`: just search for a new sell strategy
* `enter`: just search for a new entry logic
* `exit`: just search for a new entry logic
* `roi`: just optimize the minimal profit table for your strategy
* `stoploss`: search for the best stoploss value
* `trailing`: search for the best trailing stop values