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Add CAGR calculation to backtesting

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Matthias
2022-04-25 10:51:11 +02:00
parent 7b02114ad2
commit 4143ebbeae
4 changed files with 36 additions and 8 deletions
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27
tests/data/test_btanalysis.py
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@@ -8,13 +8,13 @@ from pandas import DataFrame, DateOffset, Timestamp, to_datetime
from freqtrade.configuration import TimeRange
from freqtrade.constants import LAST_BT_RESULT_FN
from freqtrade.data.btanalysis import (BT_DATA_COLUMNS, analyze_trade_parallelism, calculate_csum,
calculate_market_change, calculate_max_drawdown,
calculate_underwater, combine_dataframes_with_mean,
create_cum_profit, extract_trades_of_period,
get_latest_backtest_filename, get_latest_hyperopt_file,
load_backtest_data, load_backtest_metadata, load_trades,
load_trades_from_db)
from freqtrade.data.btanalysis import (BT_DATA_COLUMNS, analyze_trade_parallelism, calculate_cagr,
calculate_csum, calculate_market_change,
calculate_max_drawdown, calculate_underwater,
combine_dataframes_with_mean, create_cum_profit,
extract_trades_of_period, get_latest_backtest_filename,
get_latest_hyperopt_file, load_backtest_data,
load_backtest_metadata, load_trades, load_trades_from_db)
from freqtrade.data.history import load_data, load_pair_history
from freqtrade.exceptions import OperationalException
from tests.conftest import CURRENT_TEST_STRATEGY, create_mock_trades
@@ -336,6 +336,19 @@ def test_calculate_csum(testdatadir):
csum_min, csum_max = calculate_csum(DataFrame())
@pytest.mark.parametrize('start,end,days, expected', [
(64900, 176000, 3 * 365, 0.3945),
(64900, 176000, 365, 1.7119),
(1000, 1000, 365, 0.0),
(1000, 1500, 365, 0.5),
(1000, 1500, 100, 3.3927), # sub year
(0.01000000, 0.01762792, 120, 4.6087), # sub year BTC values
])
def test_calculate_cagr(start, end, days, expected):
assert round(calculate_cagr(days, start, end), 4) == expected
def test_calculate_max_drawdown2():
values = [0.011580, 0.010048, 0.011340, 0.012161, 0.010416, 0.010009, 0.020024,
-0.024662, -0.022350, 0.020496, -0.029859, -0.030511, 0.010041, 0.010872,