hyperopt reformatted
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@ -6,16 +6,8 @@ algorithms included in the `scikit-optimize` package to accomplish this. The
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search will burn all your CPU cores, make your laptop sound like a fighter jet
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search will burn all your CPU cores, make your laptop sound like a fighter jet
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and still take a long time.
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and still take a long time.
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*Note:* Hyperopt will crash when used with only 1 CPU Core as found out in [Issue #1133](https://github.com/freqtrade/freqtrade/issues/1133)
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!!! Bug
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Hyperopt will crash when used with only 1 CPU Core as found out in [Issue #1133](https://github.com/freqtrade/freqtrade/issues/1133)
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## Table of Contents
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- [Prepare your Hyperopt](#prepare-hyperopt)
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- [Configure your Guards and Triggers](#configure-your-guards-and-triggers)
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- [Solving a Mystery](#solving-a-mystery)
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- [Adding New Indicators](#adding-new-indicators)
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- [Execute Hyperopt](#execute-hyperopt)
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- [Understand the hyperopt result](#understand-the-hyperopt-result)
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## Prepare Hyperopting
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## Prepare Hyperopting
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@ -26,8 +18,8 @@ an example hyperopt file located into [user_data/hyperopts/](https://github.com/
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This is very simple. Put your hyperopt file into the folder
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This is very simple. Put your hyperopt file into the folder
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`user_data/hyperopts`.
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`user_data/hyperopts`.
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Let assume you want a hyperopt file `awesome_hyperopt.py`:
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Let assume you want a hyperopt file `awesome_hyperopt.py`:<br/>
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1. Copy the file `user_data/hyperopts/sample_hyperopt.py` into `user_data/hyperopts/awesome_hyperopt.py`
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Copy the file `user_data/hyperopts/sample_hyperopt.py` into `user_data/hyperopts/awesome_hyperopt.py`
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### 2. Configure your Guards and Triggers
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### 2. Configure your Guards and Triggers
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