Added tests for max_drawdown
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				| @ -1,12 +1,13 @@ | |||||||
| import datetime | import datetime | ||||||
| import math | import math | ||||||
| import random | import random | ||||||
|  | from unittest import skip | ||||||
| 
 | 
 | ||||||
| import pytest | import pytest | ||||||
| from dateutil.relativedelta import relativedelta | from dateutil.relativedelta import relativedelta | ||||||
| from fincal.core import AllFrequencies, Frequency | from fincal.core import AllFrequencies, Frequency | ||||||
| from fincal.exceptions import DateNotFoundError | from fincal.exceptions import DateNotFoundError | ||||||
| from fincal.fincal import TimeSeries, create_date_series | from fincal.fincal import MaxDrawdown, TimeSeries, create_date_series | ||||||
| from fincal.utils import FincalOptions | from fincal.utils import FincalOptions | ||||||
| 
 | 
 | ||||||
| 
 | 
 | ||||||
| @ -77,7 +78,9 @@ def create_test_timeseries( | |||||||
| 
 | 
 | ||||||
|     start_date = datetime.datetime(2017, 1, 1) |     start_date = datetime.datetime(2017, 1, 1) | ||||||
|     timedelta_dict = { |     timedelta_dict = { | ||||||
|         frequency.freq_type: int(frequency.value * num * (7 / 5 if frequency == "D" and skip_weekends else 1)) |         frequency.freq_type: int( | ||||||
|  |             frequency.value * num * (7 / 5 if frequency == AllFrequencies.D and skip_weekends else 1) | ||||||
|  |         ) | ||||||
|     } |     } | ||||||
|     end_date = start_date + relativedelta(**timedelta_dict) |     end_date = start_date + relativedelta(**timedelta_dict) | ||||||
|     dates = create_date_series(start_date, end_date, frequency.symbol, skip_weekends=skip_weekends) |     dates = create_date_series(start_date, end_date, frequency.symbol, skip_weekends=skip_weekends) | ||||||
| @ -88,7 +91,7 @@ def create_test_timeseries( | |||||||
| 
 | 
 | ||||||
| class TestReturns: | class TestReturns: | ||||||
|     def test_returns_calc(self): |     def test_returns_calc(self): | ||||||
|         ts = create_test_timeseries() |         ts = create_test_timeseries(AllFrequencies.D, skip_weekends=True) | ||||||
|         returns = ts.calculate_returns( |         returns = ts.calculate_returns( | ||||||
|             "2020-01-01", annual_compounded_returns=False, return_period_unit="years", return_period_value=1 |             "2020-01-01", annual_compounded_returns=False, return_period_unit="years", return_period_value=1 | ||||||
|         ) |         ) | ||||||
| @ -120,7 +123,7 @@ class TestReturns: | |||||||
|             ts.calculate_returns("2020-04-04", return_period_unit="months", return_period_value=3, prior_match="exact") |             ts.calculate_returns("2020-04-04", return_period_unit="months", return_period_value=3, prior_match="exact") | ||||||
| 
 | 
 | ||||||
|     def test_date_formats(self): |     def test_date_formats(self): | ||||||
|         ts = create_test_timeseries() |         ts = create_test_timeseries(AllFrequencies.D, skip_weekends=True) | ||||||
|         FincalOptions.date_format = "%d-%m-%Y" |         FincalOptions.date_format = "%d-%m-%Y" | ||||||
|         with pytest.raises(ValueError): |         with pytest.raises(ValueError): | ||||||
|             ts.calculate_returns( |             ts.calculate_returns( | ||||||
| @ -147,7 +150,7 @@ class TestReturns: | |||||||
| 
 | 
 | ||||||
|     def test_limits(self): |     def test_limits(self): | ||||||
|         FincalOptions.date_format = "%Y-%m-%d" |         FincalOptions.date_format = "%Y-%m-%d" | ||||||
|         ts = create_test_timeseries() |         ts = create_test_timeseries(AllFrequencies.D) | ||||||
|         with pytest.raises(DateNotFoundError): |         with pytest.raises(DateNotFoundError): | ||||||
|             ts.calculate_returns("2020-11-25", return_period_unit="days", return_period_value=90, closest_max_days=10) |             ts.calculate_returns("2020-11-25", return_period_unit="days", return_period_value=90, closest_max_days=10) | ||||||
| 
 | 
 | ||||||
| @ -177,3 +180,31 @@ class TestVolatility: | |||||||
|             annualize_volatility=False, |             annualize_volatility=False, | ||||||
|         ) |         ) | ||||||
|         assert round(sd, 6) == 0.020547 |         assert round(sd, 6) == 0.020547 | ||||||
|  | 
 | ||||||
|  | 
 | ||||||
|  | class TestDrawdown: | ||||||
|  |     def test_daily_ts(self): | ||||||
|  |         ts = create_test_timeseries(AllFrequencies.D, skip_weekends=True) | ||||||
|  |         mdd = ts.max_drawdown() | ||||||
|  |         assert isinstance(mdd, dict) | ||||||
|  |         assert len(mdd) == 3 | ||||||
|  |         assert all(i in mdd for i in ["start_date", "end_date", "drawdown"]) | ||||||
|  |         expeced_response = { | ||||||
|  |             "start_date": datetime.datetime(2017, 6, 6, 0, 0), | ||||||
|  |             "end_date": datetime.datetime(2017, 7, 31, 0, 0), | ||||||
|  |             "drawdown": -0.028293686030751997, | ||||||
|  |         } | ||||||
|  |         assert mdd == expeced_response | ||||||
|  | 
 | ||||||
|  |     def test_weekly_ts(self): | ||||||
|  |         ts = create_test_timeseries(AllFrequencies.W, mu=1, sigma=0.5) | ||||||
|  |         mdd = ts.max_drawdown() | ||||||
|  |         assert isinstance(mdd, dict) | ||||||
|  |         assert len(mdd) == 3 | ||||||
|  |         assert all(i in mdd for i in ["start_date", "end_date", "drawdown"]) | ||||||
|  |         expeced_response = { | ||||||
|  |             "start_date": datetime.datetime(2019, 2, 17, 0, 0), | ||||||
|  |             "end_date": datetime.datetime(2019, 11, 17, 0, 0), | ||||||
|  |             "drawdown": -0.2584760499552089, | ||||||
|  |         } | ||||||
|  |         assert mdd == expeced_response | ||||||
|  | |||||||
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