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Update tests for new interface
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@ -20,6 +20,7 @@ from freqtrade.data.btanalysis import (
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)
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from freqtrade.data.history import load_data, load_pair_history
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from freqtrade.data.metrics import (
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calc_max_drawdown,
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calculate_cagr,
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calculate_calmar,
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calculate_csum,
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@ -343,23 +344,21 @@ def test_create_cum_profit1(testdatadir):
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def test_calculate_max_drawdown(testdatadir):
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filename = testdatadir / "backtest_results/backtest-result.json"
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bt_data = load_backtest_data(filename)
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_, hdate, lowdate, hval, lval, drawdown = calculate_max_drawdown(
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bt_data, value_col="profit_abs"
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)
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assert isinstance(drawdown, float)
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assert pytest.approx(drawdown) == 0.29753914
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assert isinstance(hdate, Timestamp)
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assert isinstance(lowdate, Timestamp)
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assert isinstance(hval, float)
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assert isinstance(lval, float)
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assert hdate == Timestamp("2018-01-16 19:30:00", tz="UTC")
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assert lowdate == Timestamp("2018-01-16 22:25:00", tz="UTC")
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drawdown = calc_max_drawdown(bt_data, value_col="profit_abs")
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assert isinstance(drawdown.relative_account_drawdown, float)
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assert pytest.approx(drawdown.relative_account_drawdown) == 0.29753914
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assert isinstance(drawdown.high_date, Timestamp)
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assert isinstance(drawdown.low_date, Timestamp)
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assert isinstance(drawdown.high_value, float)
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assert isinstance(drawdown.low_value, float)
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assert drawdown.high_date == Timestamp("2018-01-16 19:30:00", tz="UTC")
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assert drawdown.low_date == Timestamp("2018-01-16 22:25:00", tz="UTC")
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underwater = calculate_underwater(bt_data)
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assert isinstance(underwater, DataFrame)
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with pytest.raises(ValueError, match="Trade dataframe empty."):
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calculate_max_drawdown(DataFrame())
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calc_max_drawdown(DataFrame())
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with pytest.raises(ValueError, match="Trade dataframe empty."):
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calculate_underwater(DataFrame())
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