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make ticker_interval available to hyperopt functions
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@ -12,7 +12,7 @@ and still take a long time.
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## Prepare Hyperopting
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Before we start digging into Hyperopt, we recommend you to take a look at
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an example hyperopt file located into [user_data/hyperopts/](https://github.com/freqtrade/freqtrade/blob/develop/user_data/hyperopts/test_hyperopt.py)
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an example hyperopt file located into [user_data/hyperopts/](https://github.com/freqtrade/freqtrade/blob/develop/user_data/hyperopts/sample_hyperopt.py)
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Configuring hyperopt is similar to writing your own strategy, and many tasks will be similar and a lot of code can be copied across from the strategy.
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@ -71,6 +71,11 @@ Place the corresponding settings into the following methods
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The configuration and rules are the same than for buy signals.
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To avoid naming collisions in the search-space, please prefix all sell-spaces with `sell-`.
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#### Using ticker-interval as part of the Strategy
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The Strategy exposes the ticker-interval as `self.ticker_interval`. The same value is available as class-attribute `HyperoptName.ticker_interval`.
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In the case of the linked sample-value this would be `SampleHyperOpts.ticker_interval`.
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## Solving a Mystery
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Let's say you are curious: should you use MACD crossings or lower Bollinger
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@ -32,6 +32,9 @@ class HyperOptResolver(IResolver):
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hyperopt_name = config.get('hyperopt') or DEFAULT_HYPEROPT
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self.hyperopt = self._load_hyperopt(hyperopt_name, extra_dir=config.get('hyperopt_path'))
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# Assign ticker_interval to be used in hyperopt
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self.hyperopt.__class__.ticker_interval = config.get('ticker_interval')
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if not hasattr(self.hyperopt, 'populate_buy_trend'):
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logger.warning("Custom Hyperopt does not provide populate_buy_trend. "
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"Using populate_buy_trend from DefaultStrategy.")
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