Improve hyperopt-loss docs
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@ -256,12 +256,13 @@ optional arguments:
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--continue Continue hyperopt from previous runs. By default,
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--continue Continue hyperopt from previous runs. By default,
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temporary files will be removed and hyperopt will
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temporary files will be removed and hyperopt will
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start from scratch.
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start from scratch.
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--hyperopt-loss NAME
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--hyperopt-loss NAME Specify the class name of the hyperopt loss function
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Specify the class name of the hyperopt loss function
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class (IHyperOptLoss). Different functions can
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class (IHyperOptLoss). Different functions can
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generate completely different results, since the
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generate completely different results, since the
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target for optimization is different. (default:
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target for optimization is different. Built-in
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`DefaultHyperOptLoss`).
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Hyperopt-loss-functions are: DefaultHyperOptLoss,
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OnlyProfitHyperOptLoss, SharpeHyperOptLoss.
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(default: `DefaultHyperOptLoss`).
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```
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```
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## Edge commands
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## Edge commands
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@ -164,7 +164,11 @@ By default, FreqTrade uses a loss function, which has been with freqtrade since
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A different loss function can be specified by using the `--hyperopt-loss <Class-name>` argument.
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A different loss function can be specified by using the `--hyperopt-loss <Class-name>` argument.
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This class should be in its own file within the `user_data/hyperopts/` directory.
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This class should be in its own file within the `user_data/hyperopts/` directory.
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Currently, the following loss functions are builtin: `DefaultHyperOptLoss` (default legacy Freqtrade hyperoptimization loss function), `SharpeHyperOptLoss` (optimizes Sharpe Ratio calculated on the trade returns) and `OnlyProfitHyperOptLoss` (which takes only amount of profit into consideration).
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Currently, the following loss functions are builtin:
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* `DefaultHyperOptLoss` (default legacy Freqtrade hyperoptimization loss function)
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* `OnlyProfitHyperOptLoss` (which takes only amount of profit into consideration)
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* `SharpeHyperOptLoss` (optimizes Sharpe Ratio calculated on the trade returns)
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### Creating and using a custom loss function
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### Creating and using a custom loss function
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@ -226,7 +226,9 @@ AVAILABLE_CLI_OPTIONS = {
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'--hyperopt-loss',
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'--hyperopt-loss',
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help='Specify the class name of the hyperopt loss function class (IHyperOptLoss). '
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help='Specify the class name of the hyperopt loss function class (IHyperOptLoss). '
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'Different functions can generate completely different results, '
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'Different functions can generate completely different results, '
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'since the target for optimization is different. (default: `%(default)s`).',
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'since the target for optimization is different. Built-in Hyperopt-loss-functions are: '
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'DefaultHyperOptLoss, OnlyProfitHyperOptLoss, SharpeHyperOptLoss.'
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'(default: `%(default)s`).',
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metavar='NAME',
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metavar='NAME',
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default=constants.DEFAULT_HYPEROPT_LOSS,
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default=constants.DEFAULT_HYPEROPT_LOSS,
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),
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),
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