Print non-optimized parameters (also stop / roi)

freqtrade/optimize/hyperopt.py

@@ -23,7 +23,7 @@ from pandas import DataFrame
 from freqtrade.constants import DATETIME_PRINT_FORMAT, LAST_BT_RESULT_FN
 from freqtrade.data.converter import trim_dataframes
 from freqtrade.data.history import get_timerange
-from freqtrade.misc import file_dump_json, plural
+from freqtrade.misc import deep_merge_dicts, file_dump_json, plural
 from freqtrade.optimize.backtesting import Backtesting
 # Import IHyperOpt and IHyperOptLoss to allow unpickling classes from these modules
 from freqtrade.optimize.hyperopt_auto import HyperOptAuto
@@ -201,6 +201,25 @@ class Hyperopt:
 
         return result
 
+    def _get_no_optimize_details(self) -> Dict[str, Any]:
+        """
+        Get non-optimized parameters
+        """
+        result: Dict[str, Any] = {}
+        strategy = self.backtesting.strategy
+        if not HyperoptTools.has_space(self.config, 'roi'):
+            result['roi'] = strategy.minimal_roi
+        if not HyperoptTools.has_space(self.config, 'stoploss'):
+            result['stoploss'] = strategy.stoploss
+        if not HyperoptTools.has_space(self.config, 'trailing'):
+            result['trailing'] = {
+                'trailing_stop': strategy.trailing_stop,
+                'trailing_stop_positive': strategy.trailing_stop_positive,
+                'trailing_stop_positive_offset': strategy.trailing_stop_positive_offset,
+                'trailing_only_offset_is_reached': strategy.trailing_only_offset_is_reached,
+            }
+        return result
+
     def print_results(self, results) -> None:
         """
         Log results if it is better than any previous evaluation
@@ -311,6 +330,7 @@ class Hyperopt:
             strat_stats, self.config['stake_currency'])
 
         not_optimized = self.backtesting.strategy.get_no_optimize_params()
+        not_optimized = deep_merge_dicts(not_optimized, self._get_no_optimize_details())
 
         trade_count = strat_stats['total_trades']
         total_profit = strat_stats['profit_total']

freqtrade/optimize/hyperopt_tools.py

@@ -130,9 +130,9 @@ class HyperoptTools():
                                                non_optimized)
             HyperoptTools._params_pretty_print(params, 'sell', "Sell hyperspace params:",
                                                non_optimized)
-            HyperoptTools._params_pretty_print(params, 'roi', "ROI table:")
+            HyperoptTools._params_pretty_print(params, 'roi', "ROI table:", non_optimized)
-            HyperoptTools._params_pretty_print(params, 'stoploss', "Stoploss:")
+            HyperoptTools._params_pretty_print(params, 'stoploss', "Stoploss:", non_optimized)
-            HyperoptTools._params_pretty_print(params, 'trailing', "Trailing stop:")
+            HyperoptTools._params_pretty_print(params, 'trailing', "Trailing stop:", non_optimized)
 
     @staticmethod
     def _params_update_for_json(result_dict, params, non_optimized, space: str) -> None:
@@ -159,19 +159,31 @@ class HyperoptTools():
         if space in params or space in non_optimized:
             space_params = HyperoptTools._space_params(params, space, 5)
             result = f"\n# {header}\n"
-            if space == 'stoploss':
+            if space == "stoploss":
-                result += f"stoploss = {space_params.get('stoploss')}"
+                opt = True
-            elif space == 'roi':
+                if not space_params:
+                    space_params = HyperoptTools._space_params(params, space, 5)
+                    opt = False
+                result += (f"stoploss = {space_params.get('stoploss')}"
+                           f"{'  # value loaded from strategy' if not opt else ''}")
+
+            elif space == "roi":
                 minimal_roi_result = rapidjson.dumps({
                         str(k): v for k, v in space_params.items()
                 }, default=str, indent=4, number_mode=rapidjson.NM_NATIVE)
                 result += f"minimal_roi = {minimal_roi_result}"
-            elif space == 'trailing':
+            elif space == "trailing":
+                opt = True
+                if not space_params:
+                    # Not optimized ...
+                    space_params = HyperoptTools._space_params(non_optimized, space, 5)
+                    opt = False
 
                 for k, v in space_params.items():
-                    result += f'{k} = {v}\n'
+                    result += f"{k} = {v}{'  # value loaded from strategy' if not opt else ''}\n"
 
             else:
+                # Buy / sell parameters
                 no_params = HyperoptTools._space_params(non_optimized, space, 5)
 
                 result += f"{space}_params = {HyperoptTools._pprint(space_params, no_params)}"