Rollback defaulting to DefaultHyperOptLoss

freqtrade/configuration/cli_options.py

@@ -231,8 +231,10 @@ AVAILABLE_CLI_OPTIONS = {
         help='Specify the class name of the hyperopt loss function class (IHyperOptLoss). '
         'Different functions can generate completely different results, '
         'since the target for optimization is different. Built-in Hyperopt-loss-functions are: '
-        'DefaultHyperOptLoss, OnlyProfitHyperOptLoss, SharpeHyperOptLoss.',
+        'DefaultHyperOptLoss, OnlyProfitHyperOptLoss, SharpeHyperOptLoss '
+        '(default: `%(default)s`).',
         metavar='NAME',
+        default=constants.DEFAULT_HYPEROPT_LOSS,
     ),
     # List exchanges
     "print_one_column": Arg(

freqtrade/constants.py

@@ -9,6 +9,7 @@ PROCESS_THROTTLE_SECS = 5  # sec
 DEFAULT_TICKER_INTERVAL = 5  # min
 HYPEROPT_EPOCH = 100  # epochs
 RETRY_TIMEOUT = 30  # sec
+DEFAULT_HYPEROPT_LOSS = 'DefaultHyperOptLoss'
 DEFAULT_DB_PROD_URL = 'sqlite:///tradesv3.sqlite'
 DEFAULT_DB_DRYRUN_URL = 'sqlite://'
 UNLIMITED_STAKE_AMOUNT = 'unlimited'

freqtrade/resolvers/hyperopt_resolver.py

@@ -8,6 +8,7 @@ from pathlib import Path
 from typing import Optional, Dict
 
 from freqtrade import OperationalException
+from freqtrade.constants import DEFAULT_HYPEROPT_LOSS
 from freqtrade.optimize.hyperopt_interface import IHyperOpt
 from freqtrade.optimize.hyperopt_loss_interface import IHyperOptLoss
 from freqtrade.resolvers import IResolver
@@ -87,12 +88,9 @@ class HyperOptLossResolver(IResolver):
         """
         config = config or {}
 
-        if not config.get('hyperopt_loss'):
-            raise OperationalException("No Hyperopt Loss Function set. Please use "
-                                       "`--hyperopt-loss` to specify "
-                                       "the Hyperopt Loss Function class to use.")
-
-        hyperoptloss_name = config['hyperopt_loss']
+        # Verify the hyperopt_loss is in the configuration, otherwise fallback to the
+        # default hyperopt loss
+        hyperoptloss_name = config.get('hyperopt_loss') or DEFAULT_HYPEROPT_LOSS
 
         self.hyperoptloss = self._load_hyperoptloss(
             hyperoptloss_name, config, extra_dir=config.get('hyperopt_path'))