Add test for breakdown-stats

freqtrade/optimize/optimize_reports.py

@@ -219,12 +219,14 @@ def _get_resample_from_period(period: str) -> str:
     if period == 'week':
         return '1w'
     if period == 'month':
-        return '1m'
+        return '1M'
     raise ValueError(f"Period {period} is not supported.")
 
 
 def generate_periodic_breakdown_stats(trade_list: List, period: str) -> List[Dict[str, Any]]:
     results = DataFrame.from_records(trade_list)
+    if len(results) == 0:
+        return []
     results['close_date'] = to_datetime(results['close_date'], utc=True)
     resample = _get_resample_from_period(period)
     period = results.resample(resample, on='close_date')

tests/optimize/test_backtesting.py

@@ -1102,6 +1102,7 @@ def test_backtest_start_multi_strat_nomock(default_conf, mocker, caplog, testdat
         '--timerange', '1510694220-1510700340',
         '--enable-position-stacking',
         '--disable-max-market-positions',
+        '--breakdown', 'day',
         '--strategy-list',
         'StrategyTestV2',
         'TestStrategyLegacyV1',
@@ -1130,6 +1131,7 @@ def test_backtest_start_multi_strat_nomock(default_conf, mocker, caplog, testdat
     captured = capsys.readouterr()
     assert 'BACKTESTING REPORT' in captured.out
     assert 'SELL REASON STATS' in captured.out
+    assert 'DAY BREAKDOWN' in captured.out
     assert 'LEFT OPEN TRADES REPORT' in captured.out
     assert '2017-11-14 21:17:00 -> 2017-11-14 22:58:00 | Max open trades : 1' in captured.out
     assert 'STRATEGY SUMMARY' in captured.out

tests/optimize/test_optimize_reports.py

@@ -13,9 +13,9 @@ from freqtrade.data import history
 from freqtrade.data.btanalysis import get_latest_backtest_filename, load_backtest_data
 from freqtrade.edge import PairInfo
 from freqtrade.enums import SellType
-from freqtrade.optimize.optimize_reports import (generate_backtest_stats, generate_daily_stats,
-                                                 generate_edge_table, generate_pair_metrics,
-                                                 generate_sell_reason_stats,
+from freqtrade.optimize.optimize_reports import (_get_resample_from_period, generate_backtest_stats,
+                                                 generate_daily_stats, generate_edge_table,
+                                                 generate_pair_metrics, generate_periodic_breakdown_stats, generate_sell_reason_stats,
                                                  generate_strategy_comparison,
                                                  generate_trading_stats, store_backtest_stats,
                                                  text_table_bt_results, text_table_sell_reason,
@@ -377,3 +377,31 @@ def test_generate_edge_table():
     assert generate_edge_table(results).count('| ETH/BTC |') == 1
     assert generate_edge_table(results).count(
         '|   Risk Reward Ratio |   Required Risk Reward |   Expectancy |') == 1
+
+
+def test_generate_periodic_breakdown_stats(testdatadir):
+    filename = testdatadir / "backtest-result_new.json"
+    bt_data = load_backtest_data(filename).to_dict(orient='records')
+
+    res = generate_periodic_breakdown_stats(bt_data, 'day')
+    assert isinstance(res, list)
+    assert len(res) == 21
+    day = res[0]
+    assert 'date' in day
+    assert 'draws' in day
+    assert 'loses' in day
+    assert 'wins' in day
+    assert 'profit_abs' in day
+
+    # Select empty dataframe!
+    res = generate_periodic_breakdown_stats([], 'day')
+    assert res == []
+
+
+def test__get_resample_from_period():
+
+    assert _get_resample_from_period('day') == '1d'
+    assert _get_resample_from_period('week') == '1w'
+    assert _get_resample_from_period('month') == '1M'
+    with pytest.raises(ValueError, match=r"Period noooo is not supported."):
+        _get_resample_from_period('noooo')