stop loss range added to args

freqtrade/arguments.py

@@ -199,6 +199,13 @@ class Arguments(object):
             action='store_true',
             dest='refresh_pairs',
         )
+        parser.add_argument(
+            '--stoplosses',
+            help='defines a range of stoploss against which edge will assess the strategy'
+                 'the format is "min, max, step". example: -0.01, -0.1, -0.001',
+            type=str,
+            dest='stoploss_range',
+        )
         parser.add_argument(
             '--export',
             help='export backtest results, argument are: trades\

freqtrade/configuration.py

@@ -227,6 +227,14 @@ class Configuration(object):
             config.update({'timerange': self.args.timerange})
             logger.info('Parameter --timerange detected: %s ...', self.args.timerange)
 
+        # If --timerange is used we add it to the configuration
+        if 'stoploss_range' in self.args and self.args.stoploss_range:
+            txt_range = eval(self.args.stoploss_range)
+            config['edge'].update({'stoploss_range_min': txt_range[0]})
+            config['edge'].update({'stoploss_range_max': txt_range[1]})
+            config['edge'].update({'stoploss_range_step': txt_range[2]})
+            logger.info('Parameter --stoplosses detected: %s ...', self.args.stoploss_range)
+
         # If --datadir is used we add it to the configuration
         if 'datadir' in self.args and self.args.datadir:
             config.update({'datadir': self.args.datadir})

freqtrade/optimize/edge.py

@@ -53,7 +53,7 @@ class EdgeCli(object):
 
     def _generate_edge_table(self, results: dict) -> str:
 
-        floatfmt = ('s', '.2f', '.2f', '.2f', '.2f', '.2f', 'd', '.d')
+        floatfmt = ('s', '.10g', '.2f', '.2f', '.2f', '.2f', 'd', '.d')
         tabular_data = []
         headers = ['pair', 'stoploss', 'win rate', 'risk reward ratio',
                    'required risk reward', 'expectancy', 'total number of trades', 'average duration (min)']