Added function to print hyperopt-list as table using tabulate

docs/utils.md

@@ -440,6 +440,7 @@ optional arguments:
   --no-color            Disable colorization of hyperopt results. May be
                         useful if you are redirecting output to a file.
   --print-json          Print best result detailization in JSON format.
+  --print-table         Print results in table format.
   --no-details          Do not print best epoch details.
 
 Common arguments:

freqtrade/commands/arguments.py

@@ -66,7 +66,8 @@ ARGS_HYPEROPT_LIST = ["hyperopt_list_best", "hyperopt_list_profitable",
                       "hyperopt_list_min_avg_time", "hyperopt_list_max_avg_time",
                       "hyperopt_list_min_avg_profit", "hyperopt_list_max_avg_profit",
                       "hyperopt_list_min_total_profit", "hyperopt_list_max_total_profit",
-                      "print_colorized", "print_json", "hyperopt_list_no_details"]
+                      "print_colorized", "print_json", "print_table",
+                      "hyperopt_list_no_details"]
 
 ARGS_HYPEROPT_SHOW = ["hyperopt_list_best", "hyperopt_list_profitable", "hyperopt_show_index",
                       "print_json", "hyperopt_show_no_header"]

freqtrade/commands/cli_options.py

@@ -220,6 +220,12 @@ AVAILABLE_CLI_OPTIONS = {
         action='store_true',
         default=False,
     ),
+    "print_table": Arg(
+        '--print-table',
+        help='Print results in table format.',
+        action='store_true',
+        default=False,
+    ),
     "hyperopt_jobs": Arg(
         '-j', '--job-workers',
         help='The number of concurrently running jobs for hyperoptimization '

freqtrade/commands/hyperopt_commands.py

@@ -21,6 +21,7 @@ def start_hyperopt_list(args: Dict[str, Any]) -> None:
 
     print_colorized = config.get('print_colorized', False)
     print_json = config.get('print_json', False)
+    print_table = config.get('print_table', False)
     no_details = config.get('hyperopt_list_no_details', False)
     no_header = False
 
@@ -52,14 +53,20 @@ def start_hyperopt_list(args: Dict[str, Any]) -> None:
     if print_colorized:
         colorama_init(autoreset=True)
 
-    try:
+    if print_table:
-        # Human-friendly indexes used here (starting from 1)
+        try:
-        for val in trials[epoch_start:epoch_stop]:
+            Hyperopt.print_result_table(config, trials, total_epochs,
-            Hyperopt.print_results_explanation(val, total_epochs,
+                                        not filteroptions['only_best'], print_colorized)
-                                               not filteroptions['only_best'], print_colorized)
+        except KeyboardInterrupt:
-
+            print('User interrupted..')
-    except KeyboardInterrupt:
+    else:
-        print('User interrupted..')
+        try:
+            # Human-friendly indexes used here (starting from 1)
+            for val in trials[epoch_start:epoch_stop]:
+                Hyperopt.print_results_explanation(val, total_epochs,
+                                                   not filteroptions['only_best'], print_colorized)
+        except KeyboardInterrupt:
+            print('User interrupted..')
 
     if trials and not no_details:
         sorted_trials = sorted(trials, key=itemgetter('loss'))
@@ -75,6 +82,12 @@ def start_hyperopt_show(args: Dict[str, Any]) -> None:
 
     config = setup_utils_configuration(args, RunMode.UTIL_NO_EXCHANGE)
 
+    print_json = config.get('print_json', False)
+    no_header = config.get('hyperopt_show_no_header', False)
+    trials_file = (config['user_data_dir'] /
+                   'hyperopt_results' / 'hyperopt_results.pickle')
+    n = config.get('hyperopt_show_index', -1)
+
     filteroptions = {
         'only_best': config.get('hyperopt_list_best', False),
         'only_profitable': config.get('hyperopt_list_profitable', False),
@@ -87,10 +100,6 @@ def start_hyperopt_show(args: Dict[str, Any]) -> None:
         'filter_min_total_profit': config.get('hyperopt_list_min_total_profit', None),
         'filter_max_total_profit': config.get('hyperopt_list_max_total_profit', None)
     }
-    no_header = config.get('hyperopt_show_no_header', False)
-
-    trials_file = (config['user_data_dir'] /
-                   'hyperopt_results' / 'hyperopt_results.pickle')
 
     # Previous evaluations
     trials = Hyperopt.load_previous_results(trials_file)
@@ -99,7 +108,6 @@ def start_hyperopt_show(args: Dict[str, Any]) -> None:
     trials = _hyperopt_filter_trials(trials, filteroptions)
     trials_epochs = len(trials)
 
-    n = config.get('hyperopt_show_index', -1)
     if n > trials_epochs:
         raise OperationalException(
                 f"The index of the epoch to show should be less than {trials_epochs + 1}.")
@@ -111,8 +119,6 @@ def start_hyperopt_show(args: Dict[str, Any]) -> None:
     if n > 0:
         n -= 1
 
-    print_json = config.get('print_json', False)
-
     if trials:
         val = trials[n]
         Hyperopt.print_epoch_details(val, total_epochs, print_json, no_header,

freqtrade/configuration/configuration.py

@@ -286,6 +286,9 @@ class Configuration:
         self._args_to_config(config, argname='print_json',
                              logstring='Parameter --print-json detected ...')
 
+        self._args_to_config(config, argname='print_table',
+                             logstring='Parameter --print-table detected: {}')
+
         self._args_to_config(config, argname='hyperopt_jobs',
                              logstring='Parameter -j/--job-workers detected: {}')
 

freqtrade/optimize/hyperopt.py

@@ -20,7 +20,8 @@ from colorama import Fore, Style
 from colorama import init as colorama_init
 from joblib import (Parallel, cpu_count, delayed, dump, load,
                     wrap_non_picklable_objects)
-from pandas import DataFrame
+from pandas import DataFrame, json_normalize, isna
+from tabulate import tabulate
 
 from freqtrade.data.history import get_timerange, trim_dataframe
 from freqtrade.exceptions import OperationalException
@@ -295,6 +296,50 @@ class Hyperopt:
                 f"{results['results_explanation']} " +
                 f"Objective: {results['loss']:.5f}")
 
+    @staticmethod
+    def print_result_table(config: dict, results: list, total_epochs: int, highlight_best: bool,
+                           print_colorized: bool) -> None:
+        """
+        Log result table
+        """
+        if not results:
+            return
+
+        trials = json_normalize(results, max_level=1)
+        trials = trials[['is_best', 'current_epoch',
+                         'results_metrics.trade_count', 'results_metrics.avg_profit',
+                         'results_metrics.total_profit', 'results_metrics.profit',
+                         'results_metrics.duration', 'loss']]
+        trials.columns = ['Best', 'Epoch', 'Trades', 'Avg profit', 'Total profit',
+                          'Profit', 'Avg duration', 'Objective']
+
+        trials['Best'] = trials['Best'].apply(lambda x: '*' if x else '')
+        trials['Objective'] = trials['Objective'].astype(str)
+
+        if print_colorized:
+            for i in range(len(trials)):
+                if trials.loc[i]['Total profit'] > 0:
+                    trials.at[i, 'Best'] = Fore.GREEN + trials.loc[i]['Best']
+                    trials.at[i, 'Objective'] = "{}{}".format(trials.loc[i]['Objective'],
+                                                              Fore.RESET)
+                    if '*' in trials.loc[i]['Best'] and highlight_best:
+                        trials.at[i, 'Best'] = Style.BRIGHT + trials.loc[i]['Best']
+                        trials.at[i, 'Objective'] = "{}{}".format(trials.loc[i]['Objective'],
+                                                                  Style.RESET_ALL)
+
+        trials['Epoch'] = trials['Epoch'].apply(
+            lambda x: "{}/{}".format(x, total_epochs))
+        trials['Avg profit'] = trials['Avg profit'].apply(
+            lambda x: '{:,.2f}%'.format(x) if not isna(x) else x)
+        trials['Profit'] = trials['Profit'].apply(
+            lambda x: '{:,.2f}%'.format(x) if not isna(x) else x)
+        trials['Total profit'] = trials['Total profit'].apply(
+            lambda x: '{: 11.8f} '.format(x) + config['stake_currency'] if not isna(x) else x)
+        trials['Avg duration'] = trials['Avg duration'].apply(
+            lambda x: '{:,.1f}m'.format(x) if not isna(x) else x)
+
+        print(tabulate(trials.to_dict(orient='list'), headers='keys', tablefmt='psql'))
+
     def has_space(self, space: str) -> bool:
         """
         Tell if the space value is contained in the configuration

tests/commands/test_commands.py

@@ -893,6 +893,22 @@ def test_hyperopt_list(mocker, capsys, hyperopt_results):
     assert all(x not in captured.out
                for x in [" 1/12", " 3/12", " 4/12", " 5/12", " 7/12", " 8/12"
                          " 9/12", " 10/12", " 11/12", " 12/12"])
+    args = [
+        "hyperopt-list",
+        "--profitable",
+        "--no-details",
+        "--print-table",
+        "--max-trades", "20"
+    ]
+    pargs = get_args(args)
+    pargs['config'] = None
+    start_hyperopt_list(pargs)
+    captured = capsys.readouterr()
+    assert all(x in captured.out
+               for x in [" 2/12", " 10/12"])
+    assert all(x not in captured.out
+               for x in [" 1/12", " 3/12", " 4/12", " 5/12", " 6/12", " 7/12", " 8/12", " 9/12",
+                         " 11/12", " 12/12"])
 
 
 def test_hyperopt_show(mocker, capsys, hyperopt_results):