Merge pull request #5046 from freqtrade/list_strategy_hyperopt

allow list-strategies to show if params are hyperoptable

freqtrade/commands/list_commands.py

@@ -54,15 +54,21 @@ def _print_objs_tabular(objs: List, print_colorized: bool) -> None:
         reset = ''
 
     names = [s['name'] for s in objs]
-    objss_to_print = [{
+    objs_to_print = [{
         'name': s['name'] if s['name'] else "--",
         'location': s['location'].name,
         'status': (red + "LOAD FAILED" + reset if s['class'] is None
                    else "OK" if names.count(s['name']) == 1
                    else yellow + "DUPLICATE NAME" + reset)
     } for s in objs]
-
+    for idx, s in enumerate(objs):
-    print(tabulate(objss_to_print, headers='keys', tablefmt='psql', stralign='right'))
+        if 'hyperoptable' in s:
+            objs_to_print[idx].update({
+                'hyperoptable': "Yes" if s['hyperoptable']['count'] > 0 else "No",
+                'buy-Params': len(s['hyperoptable'].get('buy', [])),
+                'sell-Params': len(s['hyperoptable'].get('sell', [])),
+            })
+    print(tabulate(objs_to_print, headers='keys', tablefmt='psql', stralign='right'))
 
 
 def start_list_strategies(args: Dict[str, Any]) -> None:
@@ -75,6 +81,11 @@ def start_list_strategies(args: Dict[str, Any]) -> None:
     strategy_objs = StrategyResolver.search_all_objects(directory, not args['print_one_column'])
     # Sort alphabetically
     strategy_objs = sorted(strategy_objs, key=lambda x: x['name'])
+    for obj in strategy_objs:
+        if obj['class']:
+            obj['hyperoptable'] = obj['class'].detect_all_parameters()
+        else:
+            obj['hyperoptable'] = {'count': 0}
 
     if args['print_one_column']:
         print('\n'.join([s['name'] for s in strategy_objs]))

freqtrade/strategy/hyper.py

@@ -273,11 +273,12 @@ class HyperStrategyMixin(object):
         for par in params:
             yield par.name, par
 
-    def _detect_parameters(self, category: str) -> Iterator[Tuple[str, BaseParameter]]:
+    @classmethod
+    def detect_parameters(cls, category: str) -> Iterator[Tuple[str, BaseParameter]]:
         """ Detect all parameters for 'category' """
-        for attr_name in dir(self):
+        for attr_name in dir(cls):
             if not attr_name.startswith('__'):  # Ignore internals, not strictly necessary.
-                attr = getattr(self, attr_name)
+                attr = getattr(cls, attr_name)
                 if issubclass(attr.__class__, BaseParameter):
                     if (attr_name.startswith(category + '_')
                             and attr.category is not None and attr.category != category):
@@ -287,6 +288,19 @@ class HyperStrategyMixin(object):
                             (attr_name.startswith(category + '_') and attr.category is None)):
                         yield attr_name, attr
 
+    @classmethod
+    def detect_all_parameters(cls) -> Dict:
+        """ Detect all parameters and return them as a list"""
+        params: Dict = {
+            'buy': list(cls.detect_parameters('buy')),
+            'sell': list(cls.detect_parameters('sell')),
+        }
+        params.update({
+            'count': len(params['buy'] + params['sell'])
+        })
+
+        return params
+
     def _load_hyper_params(self, hyperopt: bool = False) -> None:
         """
         Load Hyperoptable parameters
@@ -303,7 +317,7 @@ class HyperStrategyMixin(object):
             logger.info(f"No params for {space} found, using default values.")
         param_container: List[BaseParameter] = getattr(self, f"ft_{space}_params")
 
-        for attr_name, attr in self._detect_parameters(space):
+        for attr_name, attr in self.detect_parameters(space):
             attr.name = attr_name
             attr.in_space = hyperopt and HyperoptTools.has_space(self.config, space)
             if not attr.category:

tests/strategy/test_interface.py

@@ -667,8 +667,13 @@ def test_auto_hyperopt_interface(default_conf):
 
     # Parameter is disabled - so value from sell_param dict will NOT be used.
     assert strategy.sell_minusdi.value == 0.5
+    all_params = strategy.detect_all_parameters()
+    assert isinstance(all_params, dict)
+    assert len(all_params['buy']) == 2
+    assert len(all_params['sell']) == 2
+    assert all_params['count'] == 4
 
-    strategy.sell_rsi = IntParameter([0, 10], default=5, space='buy')
+    strategy.__class__.sell_rsi = IntParameter([0, 10], default=5, space='buy')
 
     with pytest.raises(OperationalException, match=r"Inconclusive parameter.*"):
-        [x for x in strategy._detect_parameters('sell')]
+        [x for x in strategy.detect_parameters('sell')]