Improve leading comment explaining hyperopt strategy
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@@ -19,24 +19,17 @@ import freqtrade.vendor.qtpylib.indicators as qtpylib
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class BinHV45HyperOpt(IHyperOpt):
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"""
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This is a Hyperopt template to get you started.
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Hyperopt file for optimizing BinHV45Strategy.
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Uses ranges to find best parameter combination for bbdelta, closedelta and tail
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of the buy strategy.
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More information in the documentation: https://www.freqtrade.io/en/latest/hyperopt/
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Sell strategy is ignored, because it's ignored in BinHV45Strategy as well.
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This strategy therefor works without explicit sell signal therefor hyperopting
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for 'roi' is recommend as well
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You should:
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- Add any lib you need to build your hyperopt.
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You must keep:
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- The prototypes for the methods: populate_indicators, indicator_space, buy_strategy_generator.
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The methods roi_space, generate_roi_table and stoploss_space are not required
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and are provided by default.
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However, you may override them if you need 'roi' and 'stoploss' spaces that
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differ from the defaults offered by Freqtrade.
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Sample implementation of these methods will be copied to `user_data/hyperopts` when
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creating the user-data directory using `freqtrade create-userdir --userdir user_data`,
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or is available online under the following URL:
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https://github.com/freqtrade/freqtrade/blob/develop/freqtrade/templates/sample_hyperopt_advanced.py.
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Also, this is just ONE way to optimize this strategy - others might also include
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disabling certain conditions completely. This file is just a starting point, feel free
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to improve and PR.
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"""
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@staticmethod
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