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Add test for calcuate_csum
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@ -8,11 +8,12 @@ from pandas import DataFrame, DateOffset, Timestamp, to_datetime
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from freqtrade.configuration import TimeRange
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from freqtrade.configuration import TimeRange
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from freqtrade.constants import LAST_BT_RESULT_FN
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from freqtrade.constants import LAST_BT_RESULT_FN
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from freqtrade.data.btanalysis import (BT_DATA_COLUMNS, BT_DATA_COLUMNS_MID, BT_DATA_COLUMNS_OLD,
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from freqtrade.data.btanalysis import (BT_DATA_COLUMNS, BT_DATA_COLUMNS_MID, BT_DATA_COLUMNS_OLD,
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analyze_trade_parallelism, calculate_market_change,
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analyze_trade_parallelism, calculate_csum,
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calculate_max_drawdown, combine_dataframes_with_mean,
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calculate_market_change, calculate_max_drawdown,
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create_cum_profit, extract_trades_of_period,
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combine_dataframes_with_mean, create_cum_profit,
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get_latest_backtest_filename, get_latest_hyperopt_file,
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extract_trades_of_period, get_latest_backtest_filename,
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load_backtest_data, load_trades, load_trades_from_db)
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get_latest_hyperopt_file, load_backtest_data, load_trades,
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load_trades_from_db)
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from freqtrade.data.history import load_data, load_pair_history
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from freqtrade.data.history import load_data, load_pair_history
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from tests.conftest import create_mock_trades
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from tests.conftest import create_mock_trades
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from tests.conftest_trades import MOCK_TRADE_COUNT
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from tests.conftest_trades import MOCK_TRADE_COUNT
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@ -284,6 +285,20 @@ def test_calculate_max_drawdown(testdatadir):
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drawdown, h, low = calculate_max_drawdown(DataFrame())
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drawdown, h, low = calculate_max_drawdown(DataFrame())
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def test_calculate_csum(testdatadir):
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filename = testdatadir / "backtest-result_test.json"
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bt_data = load_backtest_data(filename)
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csum_min, csum_max = calculate_csum(bt_data)
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assert isinstance(csum_min, float)
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assert isinstance(csum_max, float)
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assert csum_min < 0.01
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assert csum_max > 0.02
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with pytest.raises(ValueError, match='Trade dataframe empty.'):
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csum_min, csum_max = calculate_csum(DataFrame())
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def test_calculate_max_drawdown2():
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def test_calculate_max_drawdown2():
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values = [0.011580, 0.010048, 0.011340, 0.012161, 0.010416, 0.010009, 0.020024,
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values = [0.011580, 0.010048, 0.011340, 0.012161, 0.010416, 0.010009, 0.020024,
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-0.024662, -0.022350, 0.020496, -0.029859, -0.030511, 0.010041, 0.010872,
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-0.024662, -0.022350, 0.020496, -0.029859, -0.030511, 0.010041, 0.010872,
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