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மனோஜ்குமார் பழனிச்சாமி
2022-05-03 19:59:23 +05:30
parent 342f1e725a 65ab6d2468
commit cb0e3dbcba
145 changed files with 7072 additions and 5772 deletions
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36
tests/commands/test_commands.py
View File

@@ -847,7 +847,7 @@ def test_start_convert_trades(mocker, caplog):
assert convert_mock.call_count == 1
def test_start_list_strategies(mocker, caplog, capsys):
def test_start_list_strategies(capsys):
args = [
"list-strategies",
@@ -859,8 +859,8 @@ def test_start_list_strategies(mocker, caplog, capsys):
# pargs['config'] = None
start_list_strategies(pargs)
captured = capsys.readouterr()
assert "TestStrategyLegacyV1" in captured.out
assert "legacy_strategy_v1.py" not in captured.out
assert "StrategyTestV2" in captured.out
assert "strategy_test_v2.py" not in captured.out
assert CURRENT_TEST_STRATEGY in captured.out
# Test regular output
@@ -874,8 +874,8 @@ def test_start_list_strategies(mocker, caplog, capsys):
# pargs['config'] = None
start_list_strategies(pargs)
captured = capsys.readouterr()
assert "TestStrategyLegacyV1" in captured.out
assert "legacy_strategy_v1.py" in captured.out
assert "StrategyTestV2" in captured.out
assert "strategy_test_v2.py" in captured.out
assert CURRENT_TEST_STRATEGY in captured.out
# Test color output
@@ -888,10 +888,30 @@ def test_start_list_strategies(mocker, caplog, capsys):
# pargs['config'] = None
start_list_strategies(pargs)
captured = capsys.readouterr()
assert "TestStrategyLegacyV1" in captured.out
assert "legacy_strategy_v1.py" in captured.out
assert "StrategyTestV2" in captured.out
assert "strategy_test_v2.py" in captured.out
assert CURRENT_TEST_STRATEGY in captured.out
assert "LOAD FAILED" in captured.out
# Recursive
assert "TestStrategyNoImplements" not in captured.out
# Test recursive
args = [
"list-strategies",
"--strategy-path",
str(Path(__file__).parent.parent / "strategy" / "strats"),
'--no-color',
'--recursive-strategy-search'
]
pargs = get_args(args)
# pargs['config'] = None
start_list_strategies(pargs)
captured = capsys.readouterr()
assert "StrategyTestV2" in captured.out
assert "strategy_test_v2.py" in captured.out
assert "StrategyTestV2" in captured.out
assert "TestStrategyNoImplements" in captured.out
assert str(Path("broken_strats/broken_futures_strategies.py")) in captured.out
def test_start_test_pairlist(mocker, caplog, tickers, default_conf, capsys):
@@ -1429,7 +1449,7 @@ def test_backtesting_show(mocker, testdatadir, capsys):
args = [
"backtesting-show",
"--export-filename",
f"{testdatadir / 'backtest-result_new.json'}",
f"{testdatadir / 'backtest_results/backtest-result_new.json'}",
"--show-pair-list"
]
pargs = get_args(args)

55
tests/conftest.py
View File

@@ -1633,40 +1633,6 @@ def limit_buy_order(limit_buy_order_open):
return order
@pytest.fixture(scope='function')
def market_buy_order():
return {
'id': 'mocked_market_buy',
'type': 'market',
'side': 'buy',
'symbol': 'mocked',
'timestamp': arrow.utcnow().int_timestamp * 1000,
'datetime': arrow.utcnow().isoformat(),
'price': 0.00004099,
'amount': 91.99181073,
'filled': 91.99181073,
'remaining': 0.0,
'status': 'closed'
}
@pytest.fixture
def market_sell_order():
return {
'id': 'mocked_limit_sell',
'type': 'market',
'side': 'sell',
'symbol': 'mocked',
'timestamp': arrow.utcnow().int_timestamp * 1000,
'datetime': arrow.utcnow().isoformat(),
'price': 0.00004173,
'amount': 91.99181073,
'filled': 91.99181073,
'remaining': 0.0,
'status': 'closed'
}
@pytest.fixture
def limit_buy_order_old():
return {
@@ -2673,6 +2639,7 @@ def saved_hyperopt_results():
'total_profit': -0.00125625,
'current_epoch': 1,
'is_initial_point': True,
'is_random': False,
'is_best': True,
}, {
@@ -2689,6 +2656,7 @@ def saved_hyperopt_results():
'total_profit': 6.185e-05,
'current_epoch': 2,
'is_initial_point': True,
'is_random': False,
'is_best': False
}, {
'loss': 14.241196856510731,
@@ -2699,6 +2667,7 @@ def saved_hyperopt_results():
'total_profit': -0.13639474,
'current_epoch': 3,
'is_initial_point': True,
'is_random': False,
'is_best': False
}, {
'loss': 100000,
@@ -2706,7 +2675,7 @@ def saved_hyperopt_results():
'params_details': {'buy': {'mfi-value': 13, 'fastd-value': 35, 'adx-value': 39, 'rsi-value': 29, 'mfi-enabled': True, 'fastd-enabled': False, 'adx-enabled': False, 'rsi-enabled': True, 'trigger': 'macd_cross_signal'}, 'sell': {'sell-mfi-value': 87, 'sell-fastd-value': 54, 'sell-adx-value': 63, 'sell-rsi-value': 93, 'sell-mfi-enabled': False, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-bb_upper'}, 'roi': {0: 0.411946348378729, 215: 0.2052334363683207, 891: 0.06264755784937427, 2293: 0}, 'stoploss': {'stoploss': -0.11818343570194478}}, # noqa: E501
'results_metrics': {'total_trades': 0, 'wins': 0, 'draws': 0, 'losses': 0, 'profit_mean': None, 'profit_median': None, 'profit_total': 0, 'profit': 0.0, 'holding_avg': timedelta()}, # noqa: E501
'results_explanation': ' 0 trades. Avg profit nan%. Total profit 0.00000000 BTC ( 0.00Σ%). Avg duration nan min.', # noqa: E501
'total_profit': 0, 'current_epoch': 4, 'is_initial_point': True, 'is_best': False
'total_profit': 0, 'current_epoch': 4, 'is_initial_point': True, 'is_random': False, 'is_best': False # noqa: E501
}, {
'loss': 0.22195522184191518,
'params_dict': {'mfi-value': 17, 'fastd-value': 21, 'adx-value': 38, 'rsi-value': 33, 'mfi-enabled': True, 'fastd-enabled': False, 'adx-enabled': True, 'rsi-enabled': False, 'trigger': 'macd_cross_signal', 'sell-mfi-value': 87, 'sell-fastd-value': 82, 'sell-adx-value': 78, 'sell-rsi-value': 69, 'sell-mfi-enabled': True, 'sell-fastd-enabled': False, 'sell-adx-enabled': True, 'sell-rsi-enabled': False, 'sell-trigger': 'sell-macd_cross_signal', 'roi_t1': 1269, 'roi_t2': 601, 'roi_t3': 444, 'roi_p1': 0.07280999507931168, 'roi_p2': 0.08946698095898986, 'roi_p3': 0.1454876733325284, 'stoploss': -0.18181041180901014}, # noqa: E501
@@ -2716,6 +2685,7 @@ def saved_hyperopt_results():
'total_profit': -0.002480140000000001,
'current_epoch': 5,
'is_initial_point': True,
'is_random': False,
'is_best': True
}, {
'loss': 0.545315889154162,
@@ -2726,6 +2696,7 @@ def saved_hyperopt_results():
'total_profit': -0.0041773,
'current_epoch': 6,
'is_initial_point': True,
'is_random': False,
'is_best': False
}, {
'loss': 4.713497421432944,
@@ -2738,6 +2709,7 @@ def saved_hyperopt_results():
'total_profit': -0.06339929,
'current_epoch': 7,
'is_initial_point': True,
'is_random': False,
'is_best': False
}, {
'loss': 20.0, # noqa: E501
@@ -2748,6 +2720,7 @@ def saved_hyperopt_results():
'total_profit': 0.0,
'current_epoch': 8,
'is_initial_point': True,
'is_random': False,
'is_best': False
}, {
'loss': 2.4731817780991223,
@@ -2758,6 +2731,7 @@ def saved_hyperopt_results():
'total_profit': -0.044050070000000004, # noqa: E501
'current_epoch': 9,
'is_initial_point': True,
'is_random': False,
'is_best': False
}, {
'loss': -0.2604606005845212, # noqa: E501
@@ -2768,6 +2742,7 @@ def saved_hyperopt_results():
'total_profit': 0.00021629,
'current_epoch': 10,
'is_initial_point': True,
'is_random': False,
'is_best': True
}, {
'loss': 4.876465945994304, # noqa: E501
@@ -2779,6 +2754,7 @@ def saved_hyperopt_results():
'total_profit': -0.07436117,
'current_epoch': 11,
'is_initial_point': True,
'is_random': False,
'is_best': False
}, {
'loss': 100000,
@@ -2789,6 +2765,7 @@ def saved_hyperopt_results():
'total_profit': 0,
'current_epoch': 12,
'is_initial_point': True,
'is_random': False,
'is_best': False
}
]
@@ -2937,14 +2914,6 @@ def limit_order(limit_buy_order_usdt, limit_sell_order_usdt):
}
@pytest.fixture(scope='function')
def market_order(market_buy_order_usdt, market_sell_order_usdt):
return {
'buy': market_buy_order_usdt,
'sell': market_sell_order_usdt
}
@pytest.fixture(scope='function')
def limit_order_open(limit_buy_order_usdt_open, limit_sell_order_usdt_open):
return {

89
tests/data/test_btanalysis.py
View File

@@ -8,14 +8,14 @@ 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,
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.data.metrics import (calculate_cagr, calculate_csum, calculate_market_change,
calculate_max_drawdown, calculate_underwater,
combine_dataframes_with_mean, create_cum_profit)
from freqtrade.exceptions import OperationalException
from tests.conftest import CURRENT_TEST_STRATEGY, create_mock_trades
from tests.conftest_trades import MOCK_TRADE_COUNT
@@ -27,18 +27,19 @@ def test_get_latest_backtest_filename(testdatadir, mocker):
with pytest.raises(ValueError,
match=r"Directory .* does not seem to contain .*"):
get_latest_backtest_filename(testdatadir.parent)
get_latest_backtest_filename(testdatadir)
res = get_latest_backtest_filename(testdatadir)
testdir_bt = testdatadir / "backtest_results"
res = get_latest_backtest_filename(testdir_bt)
assert res == 'backtest-result_new.json'
res = get_latest_backtest_filename(str(testdatadir))
res = get_latest_backtest_filename(str(testdir_bt))
assert res == 'backtest-result_new.json'
mocker.patch("freqtrade.data.btanalysis.json_load", return_value={})
with pytest.raises(ValueError, match=r"Invalid '.last_result.json' format."):
get_latest_backtest_filename(testdatadir)
get_latest_backtest_filename(testdir_bt)
def test_get_latest_hyperopt_file(testdatadir):
@@ -81,7 +82,7 @@ def test_load_backtest_data_old_format(testdatadir, mocker):
def test_load_backtest_data_new_format(testdatadir):
filename = testdatadir / "backtest-result_new.json"
filename = testdatadir / "backtest_results/backtest-result_new.json"
bt_data = load_backtest_data(filename)
assert isinstance(bt_data, DataFrame)
assert set(bt_data.columns) == set(BT_DATA_COLUMNS + ['close_timestamp', 'open_timestamp'])
@@ -92,19 +93,19 @@ def test_load_backtest_data_new_format(testdatadir):
assert bt_data.equals(bt_data2)
# Test loading from folder (must yield same result)
bt_data3 = load_backtest_data(testdatadir)
bt_data3 = load_backtest_data(testdatadir / "backtest_results")
assert bt_data.equals(bt_data3)
with pytest.raises(ValueError, match=r"File .* does not exist\."):
load_backtest_data(str("filename") + "nofile")
with pytest.raises(ValueError, match=r"Unknown dataformat."):
load_backtest_data(testdatadir / LAST_BT_RESULT_FN)
load_backtest_data(testdatadir / "backtest_results" / LAST_BT_RESULT_FN)
def test_load_backtest_data_multi(testdatadir):
filename = testdatadir / "backtest-result_multistrat.json"
filename = testdatadir / "backtest_results/backtest-result_multistrat.json"
for strategy in ('StrategyTestV2', 'TestStrategy'):
bt_data = load_backtest_data(filename, strategy=strategy)
assert isinstance(bt_data, DataFrame)
@@ -182,7 +183,7 @@ def test_extract_trades_of_period(testdatadir):
def test_analyze_trade_parallelism(testdatadir):
filename = testdatadir / "backtest-result_new.json"
filename = testdatadir / "backtest_results/backtest-result_new.json"
bt_data = load_backtest_data(filename)
res = analyze_trade_parallelism(bt_data, "5m")
@@ -256,7 +257,7 @@ def test_combine_dataframes_with_mean_no_data(testdatadir):
def test_create_cum_profit(testdatadir):
filename = testdatadir / "backtest-result_new.json"
filename = testdatadir / "backtest_results/backtest-result_new.json"
bt_data = load_backtest_data(filename)
timerange = TimeRange.parse_timerange("20180110-20180112")
@@ -272,7 +273,7 @@ def test_create_cum_profit(testdatadir):
def test_create_cum_profit1(testdatadir):
filename = testdatadir / "backtest-result_new.json"
filename = testdatadir / "backtest_results/backtest-result_new.json"
bt_data = load_backtest_data(filename)
# Move close-time to "off" the candle, to make sure the logic still works
bt_data.loc[:, 'close_date'] = bt_data.loc[:, 'close_date'] + DateOffset(seconds=20)
@@ -294,7 +295,7 @@ def test_create_cum_profit1(testdatadir):
def test_calculate_max_drawdown(testdatadir):
filename = testdatadir / "backtest-result_new.json"
filename = testdatadir / "backtest_results/backtest-result_new.json"
bt_data = load_backtest_data(filename)
_, hdate, lowdate, hval, lval, drawdown = calculate_max_drawdown(
bt_data, value_col="profit_abs")
@@ -318,7 +319,7 @@ def test_calculate_max_drawdown(testdatadir):
def test_calculate_csum(testdatadir):
filename = testdatadir / "backtest-result_new.json"
filename = testdatadir / "backtest_results/backtest-result_new.json"
bt_data = load_backtest_data(filename)
csum_min, csum_max = calculate_csum(bt_data)
@@ -335,6 +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,
@@ -362,3 +376,38 @@ def test_calculate_max_drawdown2():
df = DataFrame(zip(values[:5], dates[:5]), columns=['profit', 'open_date'])
with pytest.raises(ValueError, match='No losing trade, therefore no drawdown.'):
calculate_max_drawdown(df, date_col='open_date', value_col='profit')
@pytest.mark.parametrize('profits,relative,highd,lowd,result,result_rel', [
([0.0, -500.0, 500.0, 10000.0, -1000.0], False, 3, 4, 1000.0, 0.090909),
([0.0, -500.0, 500.0, 10000.0, -1000.0], True, 0, 1, 500.0, 0.5),
])
def test_calculate_max_drawdown_abs(profits, relative, highd, lowd, result, result_rel):
"""
Test case from issue https://github.com/freqtrade/freqtrade/issues/6655
[1000, 500, 1000, 11000, 10000] # absolute results
[1000, 50%, 0%, 0%, ~9%] # Relative drawdowns
"""
init_date = Arrow(2020, 1, 1)
dates = [init_date.shift(days=i) for i in range(len(profits))]
df = DataFrame(zip(profits, dates), columns=['profit_abs', 'open_date'])
# sort by profit and reset index
df = df.sort_values('profit_abs').reset_index(drop=True)
df1 = df.copy()
drawdown, hdate, ldate, hval, lval, drawdown_rel = calculate_max_drawdown(
df, date_col='open_date', starting_balance=1000, relative=relative)
# Ensure df has not been altered.
assert df.equals(df1)
assert isinstance(drawdown, float)
assert isinstance(drawdown_rel, float)
assert hdate == init_date.shift(days=highd)
assert ldate == init_date.shift(days=lowd)
# High must be before low
assert hdate < ldate
# High value must be higher than low value
assert hval > lval
assert drawdown == result
assert pytest.approx(drawdown_rel) == result_rel

37
tests/data/test_history.py
View File

@@ -149,8 +149,8 @@ def test_load_data_with_new_pair_1min(ohlcv_history_list, mocker, caplog,
load_pair_history(datadir=tmpdir1, timeframe='1m', pair='MEME/BTC', candle_type=candle_type)
assert file.is_file()
assert log_has_re(
r'Download history data for pair: "MEME/BTC" \(0/1\), timeframe: 1m, '
r'candle type: spot and store in .*', caplog
r'\(0/1\) - Download history data for "MEME/BTC", 1m, '
r'spot and store in .*', caplog
)
@@ -223,42 +223,65 @@ def test_load_cached_data_for_updating(mocker, testdatadir) -> None:
# timeframe starts earlier than the cached data
# should fully update data
timerange = TimeRange('date', None, test_data[0][0] / 1000 - 1, 0)
data, start_ts = _load_cached_data_for_updating(
data, start_ts, end_ts = _load_cached_data_for_updating(
'UNITTEST/BTC', '1m', timerange, data_handler, CandleType.SPOT)
assert data.empty
assert start_ts == test_data[0][0] - 1000
assert end_ts is None
# timeframe starts earlier than the cached data - prepending
timerange = TimeRange('date', None, test_data[0][0] / 1000 - 1, 0)
data, start_ts, end_ts = _load_cached_data_for_updating(
'UNITTEST/BTC', '1m', timerange, data_handler, CandleType.SPOT, True)
assert_frame_equal(data, test_data_df.iloc[:-1])
assert start_ts == test_data[0][0] - 1000
assert end_ts == test_data[0][0]
# timeframe starts in the center of the cached data
# should return the cached data w/o the last item
timerange = TimeRange('date', None, test_data[0][0] / 1000 + 1, 0)
data, start_ts = _load_cached_data_for_updating(
data, start_ts, end_ts = _load_cached_data_for_updating(
'UNITTEST/BTC', '1m', timerange, data_handler, CandleType.SPOT)
assert_frame_equal(data, test_data_df.iloc[:-1])
assert test_data[-2][0] <= start_ts < test_data[-1][0]
assert end_ts is None
# timeframe starts after the cached data
# should return the cached data w/o the last item
timerange = TimeRange('date', None, test_data[-1][0] / 1000 + 100, 0)
data, start_ts = _load_cached_data_for_updating(
data, start_ts, end_ts = _load_cached_data_for_updating(
'UNITTEST/BTC', '1m', timerange, data_handler, CandleType.SPOT)
assert_frame_equal(data, test_data_df.iloc[:-1])
assert test_data[-2][0] <= start_ts < test_data[-1][0]
assert end_ts is None
# no datafile exist
# should return timestamp start time
timerange = TimeRange('date', None, now_ts - 10000, 0)
data, start_ts = _load_cached_data_for_updating(
data, start_ts, end_ts = _load_cached_data_for_updating(
'NONEXIST/BTC', '1m', timerange, data_handler, CandleType.SPOT)
assert data.empty
assert start_ts == (now_ts - 10000) * 1000
assert end_ts is None
# no datafile exist
# should return timestamp start and end time time
timerange = TimeRange('date', 'date', now_ts - 1000000, now_ts - 100000)
data, start_ts, end_ts = _load_cached_data_for_updating(
'NONEXIST/BTC', '1m', timerange, data_handler, CandleType.SPOT)
assert data.empty
assert start_ts == (now_ts - 1000000) * 1000
assert end_ts == (now_ts - 100000) * 1000
# no datafile exist, no timeframe is set
# should return an empty array and None
data, start_ts = _load_cached_data_for_updating(
data, start_ts, end_ts = _load_cached_data_for_updating(
'NONEXIST/BTC', '1m', None, data_handler, CandleType.SPOT)
assert data.empty
assert start_ts is None
assert end_ts is None
@pytest.mark.parametrize('candle_type,subdir,file_tail', [

45
tests/edge/test_edge.py
View File

@@ -8,7 +8,7 @@ from unittest.mock import MagicMock
import arrow
import numpy as np
import pytest
from pandas import DataFrame, to_datetime
from pandas import DataFrame
from freqtrade.data.converter import ohlcv_to_dataframe
from freqtrade.edge import Edge, PairInfo
@@ -30,49 +30,6 @@ from tests.optimize import (BTContainer, BTrade, _build_backtest_dataframe,
tests_start_time = arrow.get(2018, 10, 3)
timeframe_in_minute = 60
# Helpers for this test file
def _validate_ohlc(buy_ohlc_sell_matrice):
for index, ohlc in enumerate(buy_ohlc_sell_matrice):
# if not high < open < low or not high < close < low
if not ohlc[3] >= ohlc[2] >= ohlc[4] or not ohlc[3] >= ohlc[5] >= ohlc[4]:
raise Exception('Line ' + str(index + 1) + ' of ohlc has invalid values!')
return True
def _build_dataframe(buy_ohlc_sell_matrice):
_validate_ohlc(buy_ohlc_sell_matrice)
data = []
for ohlc in buy_ohlc_sell_matrice:
d = {
'date': tests_start_time.shift(
minutes=(
ohlc[0] *
timeframe_in_minute)).int_timestamp *
1000,
'buy': ohlc[1],
'open': ohlc[2],
'high': ohlc[3],
'low': ohlc[4],
'close': ohlc[5],
'sell': ohlc[6]}
data.append(d)
frame = DataFrame(data)
frame['date'] = to_datetime(frame['date'],
unit='ms',
utc=True,
infer_datetime_format=True)
return frame
def _time_on_candle(number):
return np.datetime64(tests_start_time.shift(
minutes=(number * timeframe_in_minute)).int_timestamp * 1000, 'ms')
# End helper functions
# Open trade should be removed from the end
tc0 = BTContainer(data=[

104
tests/exchange/test_binance.py
View File

@@ -169,90 +169,90 @@ def test_fill_leverage_tiers_binance(default_conf, mocker):
'ADA/BUSD': [
{
"tier": 1,
"notionalFloor": 0,
"notionalCap": 100000,
"minNotional": 0,
"maxNotional": 100000,
"maintenanceMarginRate": 0.025,
"maxLeverage": 20,
"info": {
"bracket": "1",
"initialLeverage": "20",
"notionalCap": "100000",
"notionalFloor": "0",
"maxNotional": "100000",
"minNotional": "0",
"maintMarginRatio": "0.025",
"cum": "0.0"
}
},
{
"tier": 2,
"notionalFloor": 100000,
"notionalCap": 500000,
"minNotional": 100000,
"maxNotional": 500000,
"maintenanceMarginRate": 0.05,
"maxLeverage": 10,
"info": {
"bracket": "2",
"initialLeverage": "10",
"notionalCap": "500000",
"notionalFloor": "100000",
"maxNotional": "500000",
"minNotional": "100000",
"maintMarginRatio": "0.05",
"cum": "2500.0"
}
},
{
"tier": 3,
"notionalFloor": 500000,
"notionalCap": 1000000,
"minNotional": 500000,
"maxNotional": 1000000,
"maintenanceMarginRate": 0.1,
"maxLeverage": 5,
"info": {
"bracket": "3",
"initialLeverage": "5",
"notionalCap": "1000000",
"notionalFloor": "500000",
"maxNotional": "1000000",
"minNotional": "500000",
"maintMarginRatio": "0.1",
"cum": "27500.0"
}
},
{
"tier": 4,
"notionalFloor": 1000000,
"notionalCap": 2000000,
"minNotional": 1000000,
"maxNotional": 2000000,
"maintenanceMarginRate": 0.15,
"maxLeverage": 3,
"info": {
"bracket": "4",
"initialLeverage": "3",
"notionalCap": "2000000",
"notionalFloor": "1000000",
"maxNotional": "2000000",
"minNotional": "1000000",
"maintMarginRatio": "0.15",
"cum": "77500.0"
}
},
{
"tier": 5,
"notionalFloor": 2000000,
"notionalCap": 5000000,
"minNotional": 2000000,
"maxNotional": 5000000,
"maintenanceMarginRate": 0.25,
"maxLeverage": 2,
"info": {
"bracket": "5",
"initialLeverage": "2",
"notionalCap": "5000000",
"notionalFloor": "2000000",
"maxNotional": "5000000",
"minNotional": "2000000",
"maintMarginRatio": "0.25",
"cum": "277500.0"
}
},
{
"tier": 6,
"notionalFloor": 5000000,
"notionalCap": 30000000,
"minNotional": 5000000,
"maxNotional": 30000000,
"maintenanceMarginRate": 0.5,
"maxLeverage": 1,
"info": {
"bracket": "6",
"initialLeverage": "1",
"notionalCap": "30000000",
"notionalFloor": "5000000",
"maxNotional": "30000000",
"minNotional": "5000000",
"maintMarginRatio": "0.5",
"cum": "1527500.0"
}
@@ -261,105 +261,105 @@ def test_fill_leverage_tiers_binance(default_conf, mocker):
"ZEC/USDT": [
{
"tier": 1,
"notionalFloor": 0,
"notionalCap": 50000,
"minNotional": 0,
"maxNotional": 50000,
"maintenanceMarginRate": 0.01,
"maxLeverage": 50,
"info": {
"bracket": "1",
"initialLeverage": "50",
"notionalCap": "50000",
"notionalFloor": "0",
"maxNotional": "50000",
"minNotional": "0",
"maintMarginRatio": "0.01",
"cum": "0.0"
}
},
{
"tier": 2,
"notionalFloor": 50000,
"notionalCap": 150000,
"minNotional": 50000,
"maxNotional": 150000,
"maintenanceMarginRate": 0.025,
"maxLeverage": 20,
"info": {
"bracket": "2",
"initialLeverage": "20",
"notionalCap": "150000",
"notionalFloor": "50000",
"maxNotional": "150000",
"minNotional": "50000",
"maintMarginRatio": "0.025",
"cum": "750.0"
}
},
{
"tier": 3,
"notionalFloor": 150000,
"notionalCap": 250000,
"minNotional": 150000,
"maxNotional": 250000,
"maintenanceMarginRate": 0.05,
"maxLeverage": 10,
"info": {
"bracket": "3",
"initialLeverage": "10",
"notionalCap": "250000",
"notionalFloor": "150000",
"maxNotional": "250000",
"minNotional": "150000",
"maintMarginRatio": "0.05",
"cum": "4500.0"
}
},
{
"tier": 4,
"notionalFloor": 250000,
"notionalCap": 500000,
"minNotional": 250000,
"maxNotional": 500000,
"maintenanceMarginRate": 0.1,
"maxLeverage": 5,
"info": {
"bracket": "4",
"initialLeverage": "5",
"notionalCap": "500000",
"notionalFloor": "250000",
"maxNotional": "500000",
"minNotional": "250000",
"maintMarginRatio": "0.1",
"cum": "17000.0"
}
},
{
"tier": 5,
"notionalFloor": 500000,
"notionalCap": 1000000,
"minNotional": 500000,
"maxNotional": 1000000,
"maintenanceMarginRate": 0.125,
"maxLeverage": 4,
"info": {
"bracket": "5",
"initialLeverage": "4",
"notionalCap": "1000000",
"notionalFloor": "500000",
"maxNotional": "1000000",
"minNotional": "500000",
"maintMarginRatio": "0.125",
"cum": "29500.0"
}
},
{
"tier": 6,
"notionalFloor": 1000000,
"notionalCap": 2000000,
"minNotional": 1000000,
"maxNotional": 2000000,
"maintenanceMarginRate": 0.25,
"maxLeverage": 2,
"info": {
"bracket": "6",
"initialLeverage": "2",
"notionalCap": "2000000",
"notionalFloor": "1000000",
"maxNotional": "2000000",
"minNotional": "1000000",
"maintMarginRatio": "0.25",
"cum": "154500.0"
}
},
{
"tier": 7,
"notionalFloor": 2000000,
"notionalCap": 30000000,
"minNotional": 2000000,
"maxNotional": 30000000,
"maintenanceMarginRate": 0.5,
"maxLeverage": 1,
"info": {
"bracket": "7",
"initialLeverage": "1",
"notionalCap": "30000000",
"notionalFloor": "2000000",
"maxNotional": "30000000",
"minNotional": "2000000",
"maintMarginRatio": "0.5",
"cum": "654500.0"
}

16
tests/exchange/test_ccxt_compat.py
View File

@@ -369,25 +369,25 @@ class TestCCXTExchange():
pair_tiers = leverage_tiers[futures_pair]
assert len(pair_tiers) > 0
oldLeverage = float('inf')
oldMaintenanceMarginRate = oldNotionalFloor = oldNotionalCap = -1
oldMaintenanceMarginRate = oldminNotional = oldmaxNotional = -1
for tier in pair_tiers:
for key in [
'maintenanceMarginRate',
'notionalFloor',
'notionalCap',
'minNotional',
'maxNotional',
'maxLeverage'
]:
assert key in tier
assert tier[key] >= 0.0
assert tier['notionalCap'] > tier['notionalFloor']
assert tier['maxNotional'] > tier['minNotional']
assert tier['maxLeverage'] <= oldLeverage
assert tier['maintenanceMarginRate'] >= oldMaintenanceMarginRate
assert tier['notionalFloor'] > oldNotionalFloor
assert tier['notionalCap'] > oldNotionalCap
assert tier['minNotional'] > oldminNotional
assert tier['maxNotional'] > oldmaxNotional
oldLeverage = tier['maxLeverage']
oldMaintenanceMarginRate = tier['maintenanceMarginRate']
oldNotionalFloor = tier['notionalFloor']
oldNotionalCap = tier['notionalCap']
oldminNotional = tier['minNotional']
oldmaxNotional = tier['maxNotional']
def test_ccxt_dry_run_liquidation_price(self, exchange_futures):
futures, futures_name = exchange_futures

79
tests/exchange/test_exchange.py
View File

@@ -282,6 +282,10 @@ def test_validate_order_time_in_force(default_conf, mocker, caplog):
(2.34559, 2, 3, 1, 2.345, 'spot'),
(2.9999, 2, 3, 1, 2.999, 'spot'),
(2.9909, 2, 3, 1, 2.990, 'spot'),
(2.9909, 2, 0, 1, 2, 'spot'),
(29991.5555, 2, 0, 1, 29991, 'spot'),
(29991.5555, 2, -1, 1, 29990, 'spot'),
(29991.5555, 2, -2, 1, 29900, 'spot'),
# Tests for Tick-size
(2.34559, 4, 0.0001, 1, 2.3455, 'spot'),
(2.34559, 4, 0.00001, 1, 2.34559, 'spot'),
@@ -433,11 +437,11 @@ def test__get_stake_amount_limit(mocker, default_conf) -> None:
)
# min
result = exchange.get_min_pair_stake_amount('ETH/BTC', 1, stoploss)
expected_result = 2 * (1+0.05) / (1-abs(stoploss))
expected_result = 2 * (1 + 0.05) / (1 - abs(stoploss))
assert isclose(result, expected_result)
# With Leverage
result = exchange.get_min_pair_stake_amount('ETH/BTC', 1, stoploss, 3.0)
assert isclose(result, expected_result/3)
assert isclose(result, expected_result / 3)
# max
result = exchange.get_max_pair_stake_amount('ETH/BTC', 2)
assert result == 10000
@@ -452,11 +456,11 @@ def test__get_stake_amount_limit(mocker, default_conf) -> None:
PropertyMock(return_value=markets)
)
result = exchange.get_min_pair_stake_amount('ETH/BTC', 2, stoploss)
expected_result = 2 * 2 * (1+0.05) / (1-abs(stoploss))
expected_result = 2 * 2 * (1 + 0.05) / (1 - abs(stoploss))
assert isclose(result, expected_result)
# With Leverage
result = exchange.get_min_pair_stake_amount('ETH/BTC', 2, stoploss, 5.0)
assert isclose(result, expected_result/5)
assert isclose(result, expected_result / 5)
# max
result = exchange.get_max_pair_stake_amount('ETH/BTC', 2)
assert result == 20000
@@ -471,11 +475,11 @@ def test__get_stake_amount_limit(mocker, default_conf) -> None:
PropertyMock(return_value=markets)
)
result = exchange.get_min_pair_stake_amount('ETH/BTC', 2, stoploss)
expected_result = max(2, 2 * 2) * (1+0.05) / (1-abs(stoploss))
expected_result = max(2, 2 * 2) * (1 + 0.05) / (1 - abs(stoploss))
assert isclose(result, expected_result)
# With Leverage
result = exchange.get_min_pair_stake_amount('ETH/BTC', 2, stoploss, 10)
assert isclose(result, expected_result/10)
assert isclose(result, expected_result / 10)
# min amount and cost are set (amount is minial)
markets["ETH/BTC"]["limits"] = {
@@ -487,11 +491,11 @@ def test__get_stake_amount_limit(mocker, default_conf) -> None:
PropertyMock(return_value=markets)
)
result = exchange.get_min_pair_stake_amount('ETH/BTC', 2, stoploss)
expected_result = max(8, 2 * 2) * (1+0.05) / (1-abs(stoploss))
expected_result = max(8, 2 * 2) * (1 + 0.05) / (1 - abs(stoploss))
assert isclose(result, expected_result)
# With Leverage
result = exchange.get_min_pair_stake_amount('ETH/BTC', 2, stoploss, 7.0)
assert isclose(result, expected_result/7.0)
assert isclose(result, expected_result / 7.0)
# Max
result = exchange.get_max_pair_stake_amount('ETH/BTC', 2)
assert result == 1000
@@ -501,7 +505,7 @@ def test__get_stake_amount_limit(mocker, default_conf) -> None:
assert isclose(result, expected_result)
# With Leverage
result = exchange.get_min_pair_stake_amount('ETH/BTC', 2, -0.4, 8.0)
assert isclose(result, expected_result/8.0)
assert isclose(result, expected_result / 8.0)
# Max
result = exchange.get_max_pair_stake_amount('ETH/BTC', 2)
assert result == 1000
@@ -512,7 +516,7 @@ def test__get_stake_amount_limit(mocker, default_conf) -> None:
assert isclose(result, expected_result)
# With Leverage
result = exchange.get_min_pair_stake_amount('ETH/BTC', 2, -1, 12.0)
assert isclose(result, expected_result/12)
assert isclose(result, expected_result / 12)
# Max
result = exchange.get_max_pair_stake_amount('ETH/BTC', 2)
assert result == 1000
@@ -540,7 +544,7 @@ def test__get_stake_amount_limit(mocker, default_conf) -> None:
)
# With Leverage, Contract size 10
result = exchange.get_min_pair_stake_amount('ETH/BTC', 2, -1, 12.0)
assert isclose(result, (expected_result/12) * 10.0)
assert isclose(result, (expected_result / 12) * 10.0)
# Max
result = exchange.get_max_pair_stake_amount('ETH/BTC', 2)
assert result == 10000
@@ -561,7 +565,7 @@ def test_get_min_pair_stake_amount_real_data(mocker, default_conf) -> None:
PropertyMock(return_value=markets)
)
result = exchange.get_min_pair_stake_amount('ETH/BTC', 0.020405, stoploss)
expected_result = max(0.0001, 0.001 * 0.020405) * (1+0.05) / (1-abs(stoploss))
expected_result = max(0.0001, 0.001 * 0.020405) * (1 + 0.05) / (1 - abs(stoploss))
assert round(result, 8) == round(expected_result, 8)
# Max
result = exchange.get_max_pair_stake_amount('ETH/BTC', 2.0)
@@ -569,12 +573,12 @@ def test_get_min_pair_stake_amount_real_data(mocker, default_conf) -> None:
# Leverage
result = exchange.get_min_pair_stake_amount('ETH/BTC', 0.020405, stoploss, 3.0)
assert round(result, 8) == round(expected_result/3, 8)
assert round(result, 8) == round(expected_result / 3, 8)
# Contract_size
markets["ETH/BTC"]["contractSize"] = 0.1
result = exchange.get_min_pair_stake_amount('ETH/BTC', 0.020405, stoploss, 3.0)
assert round(result, 8) == round((expected_result/3), 8)
assert round(result, 8) == round((expected_result / 3), 8)
# Max
result = exchange.get_max_pair_stake_amount('ETH/BTC', 12.0)
@@ -956,7 +960,7 @@ def test_validate_timeframes_emulated_ohlcv_1(default_conf, mocker):
mocker.patch('freqtrade.exchange.Exchange.validate_stakecurrency')
with pytest.raises(OperationalException,
match=r'The ccxt library does not provide the list of timeframes '
r'for the exchange ".*" and this exchange '
r'for the exchange .* and this exchange '
r'is therefore not supported. *'):
Exchange(default_conf)
@@ -977,7 +981,7 @@ def test_validate_timeframes_emulated_ohlcvi_2(default_conf, mocker):
mocker.patch('freqtrade.exchange.Exchange.validate_stakecurrency')
with pytest.raises(OperationalException,
match=r'The ccxt library does not provide the list of timeframes '
r'for the exchange ".*" and this exchange '
r'for the exchange .* and this exchange '
r'is therefore not supported. *'):
Exchange(default_conf)
@@ -2030,6 +2034,20 @@ async def test__async_get_historic_ohlcv(default_conf, mocker, caplog, exchange_
assert exchange._api_async.fetch_ohlcv.call_count > 200
assert res[0] == ohlcv[0]
exchange._api_async.fetch_ohlcv.reset_mock()
end_ts = 1_500_500_000_000
start_ts = 1_500_000_000_000
respair, restf, _, res = await exchange._async_get_historic_ohlcv(
pair, "5m", since_ms=start_ts, candle_type=candle_type, is_new_pair=False,
until_ms=end_ts
)
# Required candles
candles = (end_ts - start_ts) / 300_000
exp = candles // exchange.ohlcv_candle_limit('5m') + 1
# Depending on the exchange, this should be called between 1 and 6 times.
assert exchange._api_async.fetch_ohlcv.call_count == exp
@pytest.mark.parametrize('candle_type', [CandleType.FUTURES, CandleType.MARK, CandleType.SPOT])
def test_refresh_latest_ohlcv(mocker, default_conf, caplog, candle_type) -> None:
@@ -2766,9 +2784,10 @@ async def test__async_get_trade_history_time(default_conf, mocker, caplog, excha
# Monkey-patch async function
exchange._api_async.fetch_trades = MagicMock(side_effect=mock_get_trade_hist)
pair = 'ETH/BTC'
ret = await exchange._async_get_trade_history_time(pair,
since=fetch_trades_result[0]['timestamp'],
until=fetch_trades_result[-1]['timestamp']-1)
ret = await exchange._async_get_trade_history_time(
pair,
since=fetch_trades_result[0]['timestamp'],
until=fetch_trades_result[-1]['timestamp'] - 1)
assert type(ret) is tuple
assert ret[0] == pair
assert type(ret[1]) is list
@@ -2804,7 +2823,7 @@ async def test__async_get_trade_history_time_empty(default_conf, mocker, caplog,
exchange._async_fetch_trades = MagicMock(side_effect=mock_get_trade_hist)
pair = 'ETH/BTC'
ret = await exchange._async_get_trade_history_time(pair, since=trades_history[0][0],
until=trades_history[-1][0]-1)
until=trades_history[-1][0] - 1)
assert type(ret) is tuple
assert ret[0] == pair
assert type(ret[1]) is list
@@ -4577,8 +4596,8 @@ def test_load_leverage_tiers(mocker, default_conf, leverage_tiers, exchange_name
'ADA/USDT:USDT': [
{
'tier': 1,
'notionalFloor': 0,
'notionalCap': 500,
'minNotional': 0,
'maxNotional': 500,
'maintenanceMarginRate': 0.02,
'maxLeverage': 75,
'info': {
@@ -4618,8 +4637,8 @@ def test_load_leverage_tiers(mocker, default_conf, leverage_tiers, exchange_name
'ADA/USDT:USDT': [
{
'tier': 1,
'notionalFloor': 0,
'notionalCap': 500,
'minNotional': 0,
'maxNotional': 500,
'maintenanceMarginRate': 0.02,
'maxLeverage': 75,
'info': {
@@ -4654,15 +4673,15 @@ def test_parse_leverage_tier(mocker, default_conf):
tier = {
"tier": 1,
"notionalFloor": 0,
"notionalCap": 100000,
"minNotional": 0,
"maxNotional": 100000,
"maintenanceMarginRate": 0.025,
"maxLeverage": 20,
"info": {
"bracket": "1",
"initialLeverage": "20",
"notionalCap": "100000",
"notionalFloor": "0",
"maxNotional": "100000",
"minNotional": "0",
"maintMarginRatio": "0.025",
"cum": "0.0"
}
@@ -4678,8 +4697,8 @@ def test_parse_leverage_tier(mocker, default_conf):
tier2 = {
'tier': 1,
'notionalFloor': 0,
'notionalCap': 2000,
'minNotional': 0,
'maxNotional': 2000,
'maintenanceMarginRate': 0.01,
'maxLeverage': 75,
'info': {

48
tests/exchange/test_okx.py
View File

@@ -19,8 +19,8 @@ def test_get_maintenance_ratio_and_amt_okx(
'ETH/USDT:USDT': [
{
'tier': 1,
'notionalFloor': 0,
'notionalCap': 2000,
'minNotional': 0,
'maxNotional': 2000,
'maintenanceMarginRate': 0.01,
'maxLeverage': 75,
'info': {
@@ -39,8 +39,8 @@ def test_get_maintenance_ratio_and_amt_okx(
},
{
'tier': 2,
'notionalFloor': 2001,
'notionalCap': 4000,
'minNotional': 2001,
'maxNotional': 4000,
'maintenanceMarginRate': 0.015,
'maxLeverage': 50,
'info': {
@@ -59,8 +59,8 @@ def test_get_maintenance_ratio_and_amt_okx(
},
{
'tier': 3,
'notionalFloor': 4001,
'notionalCap': 8000,
'minNotional': 4001,
'maxNotional': 8000,
'maintenanceMarginRate': 0.02,
'maxLeverage': 20,
'info': {
@@ -81,8 +81,8 @@ def test_get_maintenance_ratio_and_amt_okx(
'ADA/USDT:USDT': [
{
'tier': 1,
'notionalFloor': 0,
'notionalCap': 500,
'minNotional': 0,
'maxNotional': 500,
'maintenanceMarginRate': 0.02,
'maxLeverage': 75,
'info': {
@@ -101,8 +101,8 @@ def test_get_maintenance_ratio_and_amt_okx(
},
{
'tier': 2,
'notionalFloor': 501,
'notionalCap': 1000,
'minNotional': 501,
'maxNotional': 1000,
'maintenanceMarginRate': 0.025,
'maxLeverage': 50,
'info': {
@@ -121,8 +121,8 @@ def test_get_maintenance_ratio_and_amt_okx(
},
{
'tier': 3,
'notionalFloor': 1001,
'notionalCap': 2000,
'minNotional': 1001,
'maxNotional': 2000,
'maintenanceMarginRate': 0.03,
'maxLeverage': 20,
'info': {
@@ -180,8 +180,8 @@ def test_load_leverage_tiers_okx(default_conf, mocker, markets):
[
{
'tier': 1,
'notionalFloor': 0,
'notionalCap': 500,
'minNotional': 0,
'maxNotional': 500,
'maintenanceMarginRate': 0.02,
'maxLeverage': 75,
'info': {
@@ -200,8 +200,8 @@ def test_load_leverage_tiers_okx(default_conf, mocker, markets):
},
{
'tier': 2,
'notionalFloor': 501,
'notionalCap': 1000,
'minNotional': 501,
'maxNotional': 1000,
'maintenanceMarginRate': 0.025,
'maxLeverage': 50,
'info': {
@@ -220,8 +220,8 @@ def test_load_leverage_tiers_okx(default_conf, mocker, markets):
},
{
'tier': 3,
'notionalFloor': 1001,
'notionalCap': 2000,
'minNotional': 1001,
'maxNotional': 2000,
'maintenanceMarginRate': 0.03,
'maxLeverage': 20,
'info': {
@@ -242,8 +242,8 @@ def test_load_leverage_tiers_okx(default_conf, mocker, markets):
[
{
'tier': 1,
'notionalFloor': 0,
'notionalCap': 2000,
'minNotional': 0,
'maxNotional': 2000,
'maintenanceMarginRate': 0.01,
'maxLeverage': 75,
'info': {
@@ -262,8 +262,8 @@ def test_load_leverage_tiers_okx(default_conf, mocker, markets):
},
{
'tier': 2,
'notionalFloor': 2001,
'notionalCap': 4000,
'minNotional': 2001,
'maxNotional': 4000,
'maintenanceMarginRate': 0.015,
'maxLeverage': 50,
'info': {
@@ -282,8 +282,8 @@ def test_load_leverage_tiers_okx(default_conf, mocker, markets):
},
{
'tier': 3,
'notionalFloor': 4001,
'notionalCap': 8000,
'minNotional': 4001,
'maxNotional': 8000,
'maintenanceMarginRate': 0.02,
'maxLeverage': 20,
'info': {

2
tests/leverage/test_interest.py
View File

@@ -6,7 +6,7 @@ import pytest
from freqtrade.leverage import interest
ten_mins = Decimal(1/6)
ten_mins = Decimal(1 / 6)
five_hours = Decimal(5.0)
twentyfive_hours = Decimal(25.0)

8
tests/optimize/test_backtest_detail.py
View File

@@ -251,7 +251,7 @@ tc15 = BTContainer(data=[
BTrade(exit_reason=ExitType.STOP_LOSS, open_tick=2, close_tick=2)]
)
# Test 16: Buy, hold for 65 min, then forcesell using roi=-1
# Test 16: Buy, hold for 65 min, then forceexit using roi=-1
# Causes negative profit even though sell-reason is ROI.
# stop-loss: 10%, ROI: 10% (should not apply), -100% after 65 minutes (limits trade duration)
tc16 = BTContainer(data=[
@@ -259,14 +259,14 @@ tc16 = BTContainer(data=[
[0, 5000, 5025, 4975, 4987, 6172, 1, 0],
[1, 5000, 5025, 4975, 4987, 6172, 0, 0],
[2, 4987, 5300, 4950, 5050, 6172, 0, 0],
[3, 4975, 5000, 4940, 4962, 6172, 0, 0], # ForceSell on ROI (roi=-1)
[3, 4975, 5000, 4940, 4962, 6172, 0, 0], # Forceexit on ROI (roi=-1)
[4, 4962, 4987, 4950, 4950, 6172, 0, 0],
[5, 4950, 4975, 4925, 4950, 6172, 0, 0]],
stop_loss=-0.10, roi={"0": 0.10, "65": -1}, profit_perc=-0.012,
trades=[BTrade(exit_reason=ExitType.ROI, open_tick=1, close_tick=3)]
)
# Test 17: Buy, hold for 120 mins, then forcesell using roi=-1
# Test 17: Buy, hold for 120 mins, then forceexit using roi=-1
# Causes negative profit even though sell-reason is ROI.
# stop-loss: 10%, ROI: 10% (should not apply), -100% after 100 minutes (limits trade duration)
# Uses open as sell-rate (special case) - since the roi-time is a multiple of the timeframe.
@@ -275,7 +275,7 @@ tc17 = BTContainer(data=[
[0, 5000, 5025, 4975, 4987, 6172, 1, 0],
[1, 5000, 5025, 4975, 4987, 6172, 0, 0],
[2, 4987, 5300, 4950, 5050, 6172, 0, 0],
[3, 4980, 5000, 4940, 4962, 6172, 0, 0], # ForceSell on ROI (roi=-1)
[3, 4980, 5000, 4940, 4962, 6172, 0, 0], # Forceexit on ROI (roi=-1)
[4, 4962, 4987, 4950, 4950, 6172, 0, 0],
[5, 4950, 4975, 4925, 4950, 6172, 0, 0]],
stop_loss=-0.10, roi={"0": 0.10, "120": -1}, profit_perc=-0.004,

74
tests/optimize/test_backtesting.py
View File

@@ -22,7 +22,7 @@ from freqtrade.data.history import get_timerange
from freqtrade.enums import ExitType, RunMode
from freqtrade.exceptions import DependencyException, OperationalException
from freqtrade.exchange.exchange import timeframe_to_next_date
from freqtrade.misc import get_strategy_run_id
from freqtrade.optimize.backtest_caching import get_strategy_run_id
from freqtrade.optimize.backtesting import Backtesting
from freqtrade.persistence import LocalTrade
from freqtrade.resolvers import StrategyResolver
@@ -312,6 +312,7 @@ def test_backtesting_init(mocker, default_conf, order_types) -> None:
get_fee.assert_called()
assert backtesting.fee == 0.5
assert not backtesting.strategy.order_types["stoploss_on_exchange"]
assert backtesting.strategy.bot_started is True
def test_backtesting_init_no_timeframe(mocker, default_conf, caplog) -> None:
@@ -384,14 +385,16 @@ def test_backtesting_start(default_conf, mocker, testdatadir, caplog) -> None:
mocker.patch('freqtrade.optimize.backtesting.generate_backtest_stats')
mocker.patch('freqtrade.optimize.backtesting.show_backtest_results')
sbs = mocker.patch('freqtrade.optimize.backtesting.store_backtest_stats')
sbc = mocker.patch('freqtrade.optimize.backtesting.store_backtest_signal_candles')
mocker.patch('freqtrade.plugins.pairlistmanager.PairListManager.whitelist',
PropertyMock(return_value=['UNITTEST/BTC']))
default_conf['timeframe'] = '1m'
default_conf['datadir'] = testdatadir
default_conf['export'] = 'trades'
default_conf['export'] = 'signals'
default_conf['exportfilename'] = 'export.txt'
default_conf['timerange'] = '-1510694220'
default_conf['runmode'] = RunMode.BACKTEST
backtesting = Backtesting(default_conf)
backtesting._set_strategy(backtesting.strategylist[0])
@@ -407,6 +410,7 @@ def test_backtesting_start(default_conf, mocker, testdatadir, caplog) -> None:
assert backtesting.strategy.dp._pairlists is not None
assert backtesting.strategy.bot_loop_start.call_count == 1
assert sbs.call_count == 1
assert sbc.call_count == 1
def test_backtesting_start_no_data(default_conf, mocker, caplog, testdatadir) -> None:
@@ -497,7 +501,7 @@ def test_backtesting_pairlist_list(default_conf, mocker, caplog, testdatadir, ti
Backtesting(default_conf)
# Multiple strategies
default_conf['strategy_list'] = [CURRENT_TEST_STRATEGY, 'TestStrategyLegacyV1']
default_conf['strategy_list'] = [CURRENT_TEST_STRATEGY, 'StrategyTestV2']
with pytest.raises(OperationalException,
match='PrecisionFilter not allowed for backtesting multiple strategies.'):
Backtesting(default_conf)
@@ -711,7 +715,7 @@ def test_backtest__get_sell_trade_entry(default_conf, fee, mocker) -> None:
)
# No data available.
res = backtesting._get_sell_trade_entry(trade, row_sell)
res = backtesting._get_exit_trade_entry(trade, row_sell)
assert res is not None
assert res.exit_reason == ExitType.ROI.value
assert res.close_date_utc == datetime(2020, 1, 1, 5, 0, tzinfo=timezone.utc)
@@ -724,13 +728,13 @@ def test_backtest__get_sell_trade_entry(default_conf, fee, mocker) -> None:
[], columns=['date', 'open', 'high', 'low', 'close', 'enter_long', 'exit_long',
'enter_short', 'exit_short', 'long_tag', 'short_tag', 'exit_tag'])
res = backtesting._get_sell_trade_entry(trade, row)
res = backtesting._get_exit_trade_entry(trade, row)
assert res is None
# Assign backtest-detail data
backtesting.detail_data[pair] = row_detail
res = backtesting._get_sell_trade_entry(trade, row_sell)
res = backtesting._get_exit_trade_entry(trade, row_sell)
assert res is not None
assert res.exit_reason == ExitType.ROI.value
@@ -1196,7 +1200,7 @@ def test_backtest_start_multi_strat(default_conf, mocker, caplog, testdatadir):
'--disable-max-market-positions',
'--strategy-list',
CURRENT_TEST_STRATEGY,
'TestStrategyLegacyV1',
'StrategyTestV2',
]
args = get_args(args)
start_backtesting(args)
@@ -1219,14 +1223,13 @@ def test_backtest_start_multi_strat(default_conf, mocker, caplog, testdatadir):
'up to 2017-11-14 22:58:00 (0 days).',
'Parameter --enable-position-stacking detected ...',
f'Running backtesting for Strategy {CURRENT_TEST_STRATEGY}',
'Running backtesting for Strategy TestStrategyLegacyV1',
'Running backtesting for Strategy StrategyTestV2',
]
for line in exists:
assert log_has(line, caplog)
@pytest.mark.filterwarnings("ignore:deprecated")
def test_backtest_start_multi_strat_nomock(default_conf, mocker, caplog, testdatadir, capsys):
default_conf.update({
"use_exit_signal": True,
@@ -1308,7 +1311,7 @@ def test_backtest_start_multi_strat_nomock(default_conf, mocker, caplog, testdat
'--breakdown', 'day',
'--strategy-list',
CURRENT_TEST_STRATEGY,
'TestStrategyLegacyV1',
'StrategyTestV2',
]
args = get_args(args)
start_backtesting(args)
@@ -1325,7 +1328,7 @@ def test_backtest_start_multi_strat_nomock(default_conf, mocker, caplog, testdat
'up to 2017-11-14 22:58:00 (0 days).',
'Parameter --enable-position-stacking detected ...',
f'Running backtesting for Strategy {CURRENT_TEST_STRATEGY}',
'Running backtesting for Strategy TestStrategyLegacyV1',
'Running backtesting for Strategy StrategyTestV2',
]
for line in exists:
@@ -1340,6 +1343,39 @@ def test_backtest_start_multi_strat_nomock(default_conf, mocker, caplog, testdat
assert 'STRATEGY SUMMARY' in captured.out
@pytest.mark.filterwarnings("ignore:deprecated")
def test_backtest_start_futures_noliq(default_conf_usdt, mocker,
caplog, testdatadir, capsys):
# Tests detail-data loading
default_conf_usdt.update({
"trading_mode": "futures",
"margin_mode": "isolated",
"use_exit_signal": True,
"exit_profit_only": False,
"exit_profit_offset": 0.0,
"ignore_roi_if_entry_signal": False,
"strategy": CURRENT_TEST_STRATEGY,
})
patch_exchange(mocker)
mocker.patch('freqtrade.plugins.pairlistmanager.PairListManager.whitelist',
PropertyMock(return_value=['HULUMULU/USDT', 'XRP/USDT']))
# mocker.patch('freqtrade.optimize.backtesting.Backtesting.backtest', backtestmock)
patched_configuration_load_config_file(mocker, default_conf_usdt)
args = [
'backtesting',
'--config', 'config.json',
'--datadir', str(testdatadir),
'--strategy-path', str(Path(__file__).parents[1] / 'strategy/strats'),
'--timeframe', '1h',
]
args = get_args(args)
with pytest.raises(OperationalException, match=r"Pairs .* got no leverage tiers available\."):
start_backtesting(args)
@pytest.mark.filterwarnings("ignore:deprecated")
def test_backtest_start_nomock_futures(default_conf_usdt, mocker,
caplog, testdatadir, capsys):
@@ -1590,7 +1626,7 @@ def test_backtest_start_multi_strat_caching(default_conf, mocker, caplog, testda
min_backtest_date = now - timedelta(weeks=4)
load_backtest_metadata = MagicMock(return_value={
'StrategyTestV2': {'run_id': '1', 'backtest_start_time': now.timestamp()},
'TestStrategyLegacyV1': {'run_id': run_id, 'backtest_start_time': start_time.timestamp()}
'StrategyTestV3': {'run_id': run_id, 'backtest_start_time': start_time.timestamp()}
})
load_backtest_stats = MagicMock(side_effect=[
{
@@ -1599,9 +1635,9 @@ def test_backtest_start_multi_strat_caching(default_conf, mocker, caplog, testda
'strategy_comparison': [{'key': 'StrategyTestV2'}]
},
{
'metadata': {'TestStrategyLegacyV1': {'run_id': '2'}},
'strategy': {'TestStrategyLegacyV1': {}},
'strategy_comparison': [{'key': 'TestStrategyLegacyV1'}]
'metadata': {'StrategyTestV3': {'run_id': '2'}},
'strategy': {'StrategyTestV3': {}},
'strategy_comparison': [{'key': 'StrategyTestV3'}]
}
])
mocker.patch('pathlib.Path.glob', return_value=[
@@ -1625,7 +1661,7 @@ def test_backtest_start_multi_strat_caching(default_conf, mocker, caplog, testda
'--cache', cache,
'--strategy-list',
'StrategyTestV2',
'TestStrategyLegacyV1',
'StrategyTestV3',
]
args = get_args(args)
start_backtesting(args)
@@ -1647,7 +1683,7 @@ def test_backtest_start_multi_strat_caching(default_conf, mocker, caplog, testda
assert backtestmock.call_count == 2
exists = [
'Running backtesting for Strategy StrategyTestV2',
'Running backtesting for Strategy TestStrategyLegacyV1',
'Running backtesting for Strategy StrategyTestV3',
'Ignoring max_open_trades (--disable-max-market-positions was used) ...',
'Backtesting with data from 2017-11-14 21:17:00 up to 2017-11-14 22:58:00 (0 days).',
]
@@ -1655,12 +1691,12 @@ def test_backtest_start_multi_strat_caching(default_conf, mocker, caplog, testda
assert backtestmock.call_count == 0
exists = [
'Reusing result of previous backtest for StrategyTestV2',
'Reusing result of previous backtest for TestStrategyLegacyV1',
'Reusing result of previous backtest for StrategyTestV3',
]
else:
exists = [
'Reusing result of previous backtest for StrategyTestV2',
'Running backtesting for Strategy TestStrategyLegacyV1',
'Running backtesting for Strategy StrategyTestV3',
'Ignoring max_open_trades (--disable-max-market-positions was used) ...',
'Backtesting with data from 2017-11-14 21:17:00 up to 2017-11-14 22:58:00 (0 days).',
]

1
tests/optimize/test_edge_cli.py
View File

@@ -94,6 +94,7 @@ def test_edge_init(mocker, edge_conf) -> None:
assert edge_cli.config == edge_conf
assert edge_cli.config['stake_amount'] == 'unlimited'
assert callable(edge_cli.edge.calculate)
assert edge_cli.strategy.bot_started is True
def test_edge_init_fee(mocker, edge_conf) -> None:

2
tests/optimize/test_hyperopt.py
View File

@@ -41,6 +41,7 @@ def generate_result_metrics():
'max_drawdown_abs': 0.001,
'loss': 0.001,
'is_initial_point': 0.001,
'is_random': False,
'is_best': 1,
}
@@ -247,6 +248,7 @@ def test_log_results_if_loss_improves(hyperopt, capsys) -> None:
'total_profit': 0,
'current_epoch': 2, # This starts from 1 (in a human-friendly manner)
'is_initial_point': False,
'is_random': False,
'is_best': True
}
)

3
tests/optimize/test_hyperoptloss.py
View File

@@ -4,7 +4,7 @@ from unittest.mock import MagicMock
import pytest
from freqtrade.exceptions import OperationalException
from freqtrade.optimize.hyperopt_loss_short_trade_dur import ShortTradeDurHyperOptLoss
from freqtrade.optimize.hyperopt_loss.hyperopt_loss_short_trade_dur import ShortTradeDurHyperOptLoss
from freqtrade.resolvers.hyperopt_resolver import HyperOptLossResolver
@@ -85,6 +85,7 @@ def test_loss_calculation_has_limited_profit(hyperopt_conf, hyperopt_results) ->
"SharpeHyperOptLoss",
"SharpeHyperOptLossDaily",
"MaxDrawDownHyperOptLoss",
"MaxDrawDownRelativeHyperOptLoss",
"CalmarHyperOptLoss",
"ProfitDrawDownHyperOptLoss",

70
tests/optimize/test_optimize_reports.py
View File

@@ -2,6 +2,7 @@ import re
from datetime import timedelta
from pathlib import Path
import joblib
import pandas as pd
import pytest
from arrow import Arrow
@@ -19,6 +20,7 @@ from freqtrade.optimize.optimize_reports import (_get_resample_from_period, gene
generate_periodic_breakdown_stats,
generate_strategy_comparison,
generate_trading_stats, show_sorted_pairlist,
store_backtest_signal_candles,
store_backtest_stats, text_table_bt_results,
text_table_exit_reason, text_table_strategy)
from freqtrade.resolvers.strategy_resolver import StrategyResolver
@@ -190,7 +192,7 @@ def test_store_backtest_stats(testdatadir, mocker):
assert dump_mock.call_count == 3
assert isinstance(dump_mock.call_args_list[0][0][0], Path)
assert str(dump_mock.call_args_list[0][0][0]).startswith(str(testdatadir/'backtest-result'))
assert str(dump_mock.call_args_list[0][0][0]).startswith(str(testdatadir / 'backtest-result'))
dump_mock.reset_mock()
filename = testdatadir / 'testresult.json'
@@ -201,6 +203,62 @@ def test_store_backtest_stats(testdatadir, mocker):
assert str(dump_mock.call_args_list[0][0][0]).startswith(str(testdatadir / 'testresult'))
def test_store_backtest_candles(testdatadir, mocker):
dump_mock = mocker.patch('freqtrade.optimize.optimize_reports.file_dump_joblib')
candle_dict = {'DefStrat': {'UNITTEST/BTC': pd.DataFrame()}}
# mock directory exporting
store_backtest_signal_candles(testdatadir, candle_dict)
assert dump_mock.call_count == 1
assert isinstance(dump_mock.call_args_list[0][0][0], Path)
assert str(dump_mock.call_args_list[0][0][0]).endswith(str('_signals.pkl'))
dump_mock.reset_mock()
# mock file exporting
filename = Path(testdatadir / 'testresult')
store_backtest_signal_candles(filename, candle_dict)
assert dump_mock.call_count == 1
assert isinstance(dump_mock.call_args_list[0][0][0], Path)
# result will be testdatadir / testresult-<timestamp>_signals.pkl
assert str(dump_mock.call_args_list[0][0][0]).endswith(str('_signals.pkl'))
dump_mock.reset_mock()
def test_write_read_backtest_candles(tmpdir):
candle_dict = {'DefStrat': {'UNITTEST/BTC': pd.DataFrame()}}
# test directory exporting
stored_file = store_backtest_signal_candles(Path(tmpdir), candle_dict)
scp = open(stored_file, "rb")
pickled_signal_candles = joblib.load(scp)
scp.close()
assert pickled_signal_candles.keys() == candle_dict.keys()
assert pickled_signal_candles['DefStrat'].keys() == pickled_signal_candles['DefStrat'].keys()
assert pickled_signal_candles['DefStrat']['UNITTEST/BTC'] \
.equals(pickled_signal_candles['DefStrat']['UNITTEST/BTC'])
_clean_test_file(stored_file)
# test file exporting
filename = Path(tmpdir / 'testresult')
stored_file = store_backtest_signal_candles(filename, candle_dict)
scp = open(stored_file, "rb")
pickled_signal_candles = joblib.load(scp)
scp.close()
assert pickled_signal_candles.keys() == candle_dict.keys()
assert pickled_signal_candles['DefStrat'].keys() == pickled_signal_candles['DefStrat'].keys()
assert pickled_signal_candles['DefStrat']['UNITTEST/BTC'] \
.equals(pickled_signal_candles['DefStrat']['UNITTEST/BTC'])
_clean_test_file(stored_file)
def test_generate_pair_metrics():
results = pd.DataFrame(
@@ -228,7 +286,7 @@ def test_generate_pair_metrics():
def test_generate_daily_stats(testdatadir):
filename = testdatadir / "backtest-result_new.json"
filename = testdatadir / "backtest_results/backtest-result_new.json"
bt_data = load_backtest_data(filename)
res = generate_daily_stats(bt_data)
assert isinstance(res, dict)
@@ -248,7 +306,7 @@ def test_generate_daily_stats(testdatadir):
def test_generate_trading_stats(testdatadir):
filename = testdatadir / "backtest-result_new.json"
filename = testdatadir / "backtest_results/backtest-result_new.json"
bt_data = load_backtest_data(filename)
res = generate_trading_stats(bt_data)
assert isinstance(res, dict)
@@ -332,7 +390,7 @@ def test_generate_sell_reason_stats():
def test_text_table_strategy(testdatadir):
filename = testdatadir / "backtest-result_multistrat.json"
filename = testdatadir / "backtest_results/backtest-result_multistrat.json"
bt_res_data = load_backtest_stats(filename)
bt_res_data_comparison = bt_res_data.pop('strategy_comparison')
@@ -364,7 +422,7 @@ def test_generate_edge_table():
def test_generate_periodic_breakdown_stats(testdatadir):
filename = testdatadir / "backtest-result_new.json"
filename = testdatadir / "backtest_results/backtest-result_new.json"
bt_data = load_backtest_data(filename).to_dict(orient='records')
res = generate_periodic_breakdown_stats(bt_data, 'day')
@@ -392,7 +450,7 @@ def test__get_resample_from_period():
def test_show_sorted_pairlist(testdatadir, default_conf, capsys):
filename = testdatadir / "backtest-result_new.json"
filename = testdatadir / "backtest_results/backtest-result_new.json"
bt_data = load_backtest_stats(filename)
default_conf['backtest_show_pair_list'] = True

16
tests/plugins/test_pairlocks.py
View File

@@ -21,8 +21,22 @@ def test_PairLocks(use_db):
pair = 'ETH/BTC'
assert not PairLocks.is_pair_locked(pair)
PairLocks.lock_pair(pair, arrow.utcnow().shift(minutes=4).datetime)
# ETH/BTC locked for 4 minutes
# ETH/BTC locked for 4 minutes (on both sides)
assert PairLocks.is_pair_locked(pair)
assert PairLocks.is_pair_locked(pair, side='long')
assert PairLocks.is_pair_locked(pair, side='short')
pair = 'BNB/BTC'
PairLocks.lock_pair(pair, arrow.utcnow().shift(minutes=4).datetime, side='long')
assert not PairLocks.is_pair_locked(pair)
assert PairLocks.is_pair_locked(pair, side='long')
assert not PairLocks.is_pair_locked(pair, side='short')
pair = 'BNB/USDT'
PairLocks.lock_pair(pair, arrow.utcnow().shift(minutes=4).datetime, side='short')
assert not PairLocks.is_pair_locked(pair)
assert not PairLocks.is_pair_locked(pair, side='long')
assert PairLocks.is_pair_locked(pair, side='short')
# XRP/BTC should not be locked now
pair = 'XRP/BTC'

108
tests/plugins/test_protections.py
View File

@@ -11,9 +11,10 @@ from tests.conftest import get_patched_freqtradebot, log_has_re
def generate_mock_trade(pair: str, fee: float, is_open: bool,
sell_reason: str = ExitType.EXIT_SIGNAL,
exit_reason: str = ExitType.EXIT_SIGNAL,
min_ago_open: int = None, min_ago_close: int = None,
profit_rate: float = 0.9
profit_rate: float = 0.9,
is_short: bool = False,
):
open_rate = random.random()
@@ -28,11 +29,12 @@ def generate_mock_trade(pair: str, fee: float, is_open: bool,
is_open=is_open,
amount=0.01 / open_rate,
exchange='binance',
is_short=is_short,
)
trade.recalc_open_trade_value()
if not is_open:
trade.close(open_rate * profit_rate)
trade.exit_reason = sell_reason
trade.close(open_rate * (2 - profit_rate if is_short else profit_rate))
trade.exit_reason = exit_reason
return trade
@@ -45,9 +47,9 @@ def test_protectionmanager(mocker, default_conf):
for handler in freqtrade.protections._protection_handlers:
assert handler.name in constants.AVAILABLE_PROTECTIONS
if not handler.has_global_stop:
assert handler.global_stop(datetime.utcnow()) == (False, None, None)
assert handler.global_stop(datetime.utcnow(), '*') is None
if not handler.has_local_stop:
assert handler.stop_per_pair('XRP/BTC', datetime.utcnow()) == (False, None, None)
assert handler.stop_per_pair('XRP/BTC', datetime.utcnow(), '*') is None
@pytest.mark.parametrize('timeframe,expected,protconf', [
@@ -68,7 +70,7 @@ def test_protectionmanager(mocker, default_conf):
('1h', [60, 540],
[{"method": "StoplossGuard", "lookback_period_candles": 1, "stop_duration_candles": 9}]),
])
def test_protections_init(mocker, default_conf, timeframe, expected, protconf):
def test_protections_init(default_conf, timeframe, expected, protconf):
default_conf['timeframe'] = timeframe
man = ProtectionManager(default_conf, protconf)
assert len(man._protection_handlers) == len(protconf)
@@ -76,8 +78,10 @@ def test_protections_init(mocker, default_conf, timeframe, expected, protconf):
assert man._protection_handlers[0]._stop_duration == expected[1]
@pytest.mark.parametrize('is_short', [False, True])
@pytest.mark.usefixtures("init_persistence")
def test_stoploss_guard(mocker, default_conf, fee, caplog):
def test_stoploss_guard(mocker, default_conf, fee, caplog, is_short):
# Active for both sides (long and short)
default_conf['protections'] = [{
"method": "StoplossGuard",
"lookback_period": 60,
@@ -91,8 +95,8 @@ def test_stoploss_guard(mocker, default_conf, fee, caplog):
caplog.clear()
Trade.query.session.add(generate_mock_trade(
'XRP/BTC', fee.return_value, False, sell_reason=ExitType.STOP_LOSS.value,
min_ago_open=200, min_ago_close=30,
'XRP/BTC', fee.return_value, False, exit_reason=ExitType.STOP_LOSS.value,
min_ago_open=200, min_ago_close=30, is_short=is_short,
))
assert not freqtrade.protections.global_stop()
@@ -100,13 +104,13 @@ def test_stoploss_guard(mocker, default_conf, fee, caplog):
caplog.clear()
# This trade does not count, as it's closed too long ago
Trade.query.session.add(generate_mock_trade(
'BCH/BTC', fee.return_value, False, sell_reason=ExitType.STOP_LOSS.value,
min_ago_open=250, min_ago_close=100,
'BCH/BTC', fee.return_value, False, exit_reason=ExitType.STOP_LOSS.value,
min_ago_open=250, min_ago_close=100, is_short=is_short,
))
Trade.query.session.add(generate_mock_trade(
'ETH/BTC', fee.return_value, False, sell_reason=ExitType.STOP_LOSS.value,
min_ago_open=240, min_ago_close=30,
'ETH/BTC', fee.return_value, False, exit_reason=ExitType.STOP_LOSS.value,
min_ago_open=240, min_ago_close=30, is_short=is_short,
))
# 3 Trades closed - but the 2nd has been closed too long ago.
assert not freqtrade.protections.global_stop()
@@ -114,8 +118,8 @@ def test_stoploss_guard(mocker, default_conf, fee, caplog):
caplog.clear()
Trade.query.session.add(generate_mock_trade(
'LTC/BTC', fee.return_value, False, sell_reason=ExitType.STOP_LOSS.value,
min_ago_open=180, min_ago_close=30,
'LTC/BTC', fee.return_value, False, exit_reason=ExitType.STOP_LOSS.value,
min_ago_open=180, min_ago_close=30, is_short=is_short,
))
assert freqtrade.protections.global_stop()
@@ -130,15 +134,19 @@ def test_stoploss_guard(mocker, default_conf, fee, caplog):
@pytest.mark.parametrize('only_per_pair', [False, True])
@pytest.mark.parametrize('only_per_side', [False, True])
@pytest.mark.usefixtures("init_persistence")
def test_stoploss_guard_perpair(mocker, default_conf, fee, caplog, only_per_pair):
def test_stoploss_guard_perpair(mocker, default_conf, fee, caplog, only_per_pair, only_per_side):
default_conf['protections'] = [{
"method": "StoplossGuard",
"lookback_period": 60,
"trade_limit": 2,
"stop_duration": 60,
"only_per_pair": only_per_pair
"only_per_pair": only_per_pair,
"only_per_side": only_per_side,
}]
check_side = 'long' if only_per_side else '*'
is_short = False
freqtrade = get_patched_freqtradebot(mocker, default_conf)
message = r"Trading stopped due to .*"
pair = 'XRP/BTC'
@@ -148,8 +156,8 @@ def test_stoploss_guard_perpair(mocker, default_conf, fee, caplog, only_per_pair
caplog.clear()
Trade.query.session.add(generate_mock_trade(
pair, fee.return_value, False, sell_reason=ExitType.STOP_LOSS.value,
min_ago_open=200, min_ago_close=30, profit_rate=0.9,
pair, fee.return_value, False, exit_reason=ExitType.STOP_LOSS.value,
min_ago_open=200, min_ago_close=30, profit_rate=0.9, is_short=is_short
))
assert not freqtrade.protections.stop_per_pair(pair)
@@ -158,13 +166,13 @@ def test_stoploss_guard_perpair(mocker, default_conf, fee, caplog, only_per_pair
caplog.clear()
# This trade does not count, as it's closed too long ago
Trade.query.session.add(generate_mock_trade(
pair, fee.return_value, False, sell_reason=ExitType.STOP_LOSS.value,
min_ago_open=250, min_ago_close=100, profit_rate=0.9,
pair, fee.return_value, False, exit_reason=ExitType.STOP_LOSS.value,
min_ago_open=250, min_ago_close=100, profit_rate=0.9, is_short=is_short
))
# Trade does not count for per pair stop as it's the wrong pair.
Trade.query.session.add(generate_mock_trade(
'ETH/BTC', fee.return_value, False, sell_reason=ExitType.STOP_LOSS.value,
min_ago_open=240, min_ago_close=30, profit_rate=0.9,
'ETH/BTC', fee.return_value, False, exit_reason=ExitType.STOP_LOSS.value,
min_ago_open=240, min_ago_close=30, profit_rate=0.9, is_short=is_short
))
# 3 Trades closed - but the 2nd has been closed too long ago.
assert not freqtrade.protections.stop_per_pair(pair)
@@ -176,16 +184,34 @@ def test_stoploss_guard_perpair(mocker, default_conf, fee, caplog, only_per_pair
caplog.clear()
# Trade does not count potentially, as it's in the wrong direction
Trade.query.session.add(generate_mock_trade(
pair, fee.return_value, False, exit_reason=ExitType.STOP_LOSS.value,
min_ago_open=150, min_ago_close=25, profit_rate=0.9, is_short=not is_short
))
freqtrade.protections.stop_per_pair(pair)
assert freqtrade.protections.global_stop() != only_per_pair
assert PairLocks.is_pair_locked(pair, side=check_side) != (only_per_side and only_per_pair)
assert PairLocks.is_global_lock(side=check_side) != only_per_pair
if only_per_side:
assert not PairLocks.is_pair_locked(pair, side='*')
assert not PairLocks.is_global_lock(side='*')
caplog.clear()
# 2nd Trade that counts with correct pair
Trade.query.session.add(generate_mock_trade(
pair, fee.return_value, False, sell_reason=ExitType.STOP_LOSS.value,
min_ago_open=180, min_ago_close=30, profit_rate=0.9,
pair, fee.return_value, False, exit_reason=ExitType.STOP_LOSS.value,
min_ago_open=180, min_ago_close=30, profit_rate=0.9, is_short=is_short
))
freqtrade.protections.stop_per_pair(pair)
assert freqtrade.protections.global_stop() != only_per_pair
assert PairLocks.is_pair_locked(pair)
assert PairLocks.is_global_lock() != only_per_pair
assert PairLocks.is_pair_locked(pair, side=check_side)
assert PairLocks.is_global_lock(side=check_side) != only_per_pair
if only_per_side:
assert not PairLocks.is_pair_locked(pair, side='*')
assert not PairLocks.is_global_lock(side='*')
@pytest.mark.usefixtures("init_persistence")
@@ -203,7 +229,7 @@ def test_CooldownPeriod(mocker, default_conf, fee, caplog):
caplog.clear()
Trade.query.session.add(generate_mock_trade(
'XRP/BTC', fee.return_value, False, sell_reason=ExitType.STOP_LOSS.value,
'XRP/BTC', fee.return_value, False, exit_reason=ExitType.STOP_LOSS.value,
min_ago_open=200, min_ago_close=30,
))
@@ -213,7 +239,7 @@ def test_CooldownPeriod(mocker, default_conf, fee, caplog):
assert not PairLocks.is_global_lock()
Trade.query.session.add(generate_mock_trade(
'ETH/BTC', fee.return_value, False, sell_reason=ExitType.ROI.value,
'ETH/BTC', fee.return_value, False, exit_reason=ExitType.ROI.value,
min_ago_open=205, min_ago_close=35,
))
@@ -242,7 +268,7 @@ def test_LowProfitPairs(mocker, default_conf, fee, caplog):
caplog.clear()
Trade.query.session.add(generate_mock_trade(
'XRP/BTC', fee.return_value, False, sell_reason=ExitType.STOP_LOSS.value,
'XRP/BTC', fee.return_value, False, exit_reason=ExitType.STOP_LOSS.value,
min_ago_open=800, min_ago_close=450, profit_rate=0.9,
))
@@ -253,7 +279,7 @@ def test_LowProfitPairs(mocker, default_conf, fee, caplog):
assert not PairLocks.is_global_lock()
Trade.query.session.add(generate_mock_trade(
'XRP/BTC', fee.return_value, False, sell_reason=ExitType.STOP_LOSS.value,
'XRP/BTC', fee.return_value, False, exit_reason=ExitType.STOP_LOSS.value,
min_ago_open=200, min_ago_close=120, profit_rate=0.9,
))
@@ -265,14 +291,14 @@ def test_LowProfitPairs(mocker, default_conf, fee, caplog):
# Add positive trade
Trade.query.session.add(generate_mock_trade(
'XRP/BTC', fee.return_value, False, sell_reason=ExitType.ROI.value,
'XRP/BTC', fee.return_value, False, exit_reason=ExitType.ROI.value,
min_ago_open=20, min_ago_close=10, profit_rate=1.15,
))
assert not freqtrade.protections.stop_per_pair('XRP/BTC')
assert not PairLocks.is_pair_locked('XRP/BTC')
Trade.query.session.add(generate_mock_trade(
'XRP/BTC', fee.return_value, False, sell_reason=ExitType.STOP_LOSS.value,
'XRP/BTC', fee.return_value, False, exit_reason=ExitType.STOP_LOSS.value,
min_ago_open=110, min_ago_close=20, profit_rate=0.8,
))
@@ -300,15 +326,15 @@ def test_MaxDrawdown(mocker, default_conf, fee, caplog):
caplog.clear()
Trade.query.session.add(generate_mock_trade(
'XRP/BTC', fee.return_value, False, sell_reason=ExitType.STOP_LOSS.value,
'XRP/BTC', fee.return_value, False, exit_reason=ExitType.STOP_LOSS.value,
min_ago_open=1000, min_ago_close=900, profit_rate=1.1,
))
Trade.query.session.add(generate_mock_trade(
'ETH/BTC', fee.return_value, False, sell_reason=ExitType.STOP_LOSS.value,
'ETH/BTC', fee.return_value, False, exit_reason=ExitType.STOP_LOSS.value,
min_ago_open=1000, min_ago_close=900, profit_rate=1.1,
))
Trade.query.session.add(generate_mock_trade(
'NEO/BTC', fee.return_value, False, sell_reason=ExitType.STOP_LOSS.value,
'NEO/BTC', fee.return_value, False, exit_reason=ExitType.STOP_LOSS.value,
min_ago_open=1000, min_ago_close=900, profit_rate=1.1,
))
# No losing trade yet ... so max_drawdown will raise exception
@@ -316,7 +342,7 @@ def test_MaxDrawdown(mocker, default_conf, fee, caplog):
assert not freqtrade.protections.stop_per_pair('XRP/BTC')
Trade.query.session.add(generate_mock_trade(
'XRP/BTC', fee.return_value, False, sell_reason=ExitType.STOP_LOSS.value,
'XRP/BTC', fee.return_value, False, exit_reason=ExitType.STOP_LOSS.value,
min_ago_open=500, min_ago_close=400, profit_rate=0.9,
))
# Not locked with one trade
@@ -326,7 +352,7 @@ def test_MaxDrawdown(mocker, default_conf, fee, caplog):
assert not PairLocks.is_global_lock()
Trade.query.session.add(generate_mock_trade(
'XRP/BTC', fee.return_value, False, sell_reason=ExitType.STOP_LOSS.value,
'XRP/BTC', fee.return_value, False, exit_reason=ExitType.STOP_LOSS.value,
min_ago_open=1200, min_ago_close=1100, profit_rate=0.5,
))
@@ -339,7 +365,7 @@ def test_MaxDrawdown(mocker, default_conf, fee, caplog):
# Winning trade ... (should not lock, does not change drawdown!)
Trade.query.session.add(generate_mock_trade(
'XRP/BTC', fee.return_value, False, sell_reason=ExitType.ROI.value,
'XRP/BTC', fee.return_value, False, exit_reason=ExitType.ROI.value,
min_ago_open=320, min_ago_close=410, profit_rate=1.5,
))
assert not freqtrade.protections.global_stop()
@@ -349,7 +375,7 @@ def test_MaxDrawdown(mocker, default_conf, fee, caplog):
# Add additional negative trade, causing a loss of > 15%
Trade.query.session.add(generate_mock_trade(
'XRP/BTC', fee.return_value, False, sell_reason=ExitType.ROI.value,
'XRP/BTC', fee.return_value, False, exit_reason=ExitType.ROI.value,
min_ago_open=20, min_ago_close=10, profit_rate=0.8,
))
assert not freqtrade.protections.stop_per_pair('XRP/BTC')

6
tests/rpc/test_rpc.py
View File

@@ -52,7 +52,8 @@ def test_rpc_trade_status(default_conf, ticker, fee, mocker) -> None:
assert results[0] == {
'trade_id': 1,
'pair': 'ETH/BTC',
'base_currency': 'BTC',
'base_currency': 'ETH',
'quote_currency': 'BTC',
'open_date': ANY,
'open_timestamp': ANY,
'is_open': ANY,
@@ -136,7 +137,8 @@ def test_rpc_trade_status(default_conf, ticker, fee, mocker) -> None:
assert results[0] == {
'trade_id': 1,
'pair': 'ETH/BTC',
'base_currency': 'BTC',
'base_currency': 'ETH',
'quote_currency': 'BTC',
'open_date': ANY,
'open_timestamp': ANY,
'is_open': ANY,

68
tests/rpc/test_rpc_apiserver.py
View File

@@ -13,7 +13,6 @@ import uvicorn
from fastapi import FastAPI
from fastapi.exceptions import HTTPException
from fastapi.testclient import TestClient
from numpy import isnan
from requests.auth import _basic_auth_str
from freqtrade.__init__ import __version__
@@ -931,6 +930,8 @@ def test_api_status(botclient, mocker, ticker, fee, markets, is_short,
'open_order': None,
'open_rate': 0.123,
'pair': 'ETH/BTC',
'base_currency': 'ETH',
'quote_currency': 'BTC',
'stake_amount': 0.001,
'stop_loss_abs': ANY,
'stop_loss_pct': ANY,
@@ -983,7 +984,7 @@ def test_api_status(botclient, mocker, ticker, fee, markets, is_short,
assert_response(rc)
resp_values = rc.json()
assert len(resp_values) == 4
assert isnan(resp_values[0]['profit_abs'])
assert resp_values[0]['profit_abs'] is None
def test_api_version(botclient):
@@ -1097,7 +1098,7 @@ def test_api_force_entry(botclient, mocker, fee, endpoint):
# Test creating trade
fbuy_mock = MagicMock(return_value=Trade(
pair='ETH/ETH',
pair='ETH/BTC',
amount=1,
amount_requested=1,
exchange='binance',
@@ -1130,7 +1131,9 @@ def test_api_force_entry(botclient, mocker, fee, endpoint):
'open_date': ANY,
'open_timestamp': ANY,
'open_rate': 0.245441,
'pair': 'ETH/ETH',
'pair': 'ETH/BTC',
'base_currency': 'ETH',
'quote_currency': 'BTC',
'stake_amount': 1,
'stop_loss_abs': None,
'stop_loss_pct': None,
@@ -1178,7 +1181,7 @@ def test_api_force_entry(botclient, mocker, fee, endpoint):
}
def test_api_forcesell(botclient, mocker, ticker, fee, markets):
def test_api_forceexit(botclient, mocker, ticker, fee, markets):
ftbot, client = botclient
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
@@ -1190,15 +1193,15 @@ def test_api_forcesell(botclient, mocker, ticker, fee, markets):
)
patch_get_signal(ftbot)
rc = client_post(client, f"{BASE_URI}/forcesell",
rc = client_post(client, f"{BASE_URI}/forceexit",
data='{"tradeid": "1"}')
assert_response(rc, 502)
assert rc.json() == {"error": "Error querying /api/v1/forcesell: invalid argument"}
assert rc.json() == {"error": "Error querying /api/v1/forceexit: invalid argument"}
Trade.query.session.rollback()
ftbot.enter_positions()
rc = client_post(client, f"{BASE_URI}/forcesell",
rc = client_post(client, f"{BASE_URI}/forceexit",
data='{"tradeid": "1"}')
assert_response(rc)
assert rc.json() == {'result': 'Created sell order for trade 1.'}
@@ -1385,7 +1388,6 @@ def test_api_strategies(botclient):
'StrategyTestV2',
'StrategyTestV3',
'StrategyTestV3Futures',
'TestStrategyLegacyV1',
]}
@@ -1481,7 +1483,7 @@ def test_api_backtesting(botclient, mocker, fee, caplog, tmpdir):
assert not result['running']
assert result['status_msg'] == 'Backtest reset'
ftbot.config['export'] = 'trades'
ftbot.config['backtest_cache'] = 'none'
ftbot.config['backtest_cache'] = 'day'
ftbot.config['user_data_dir'] = Path(tmpdir)
ftbot.config['exportfilename'] = Path(tmpdir) / "backtest_results"
ftbot.config['exportfilename'].mkdir()
@@ -1554,19 +1556,19 @@ def test_api_backtesting(botclient, mocker, fee, caplog, tmpdir):
ApiServer._bgtask_running = False
mocker.patch('freqtrade.optimize.backtesting.Backtesting.backtest_one_strategy',
side_effect=DependencyException())
rc = client_post(client, f"{BASE_URI}/backtest", data=json.dumps(data))
assert log_has("Backtesting caused an error: ", caplog)
ftbot.config['backtest_cache'] = 'day'
# Rerun backtest (should get previous result)
rc = client_post(client, f"{BASE_URI}/backtest", data=json.dumps(data))
assert_response(rc)
result = rc.json()
assert log_has_re('Reusing result of previous backtest.*', caplog)
data['stake_amount'] = 101
mocker.patch('freqtrade.optimize.backtesting.Backtesting.backtest_one_strategy',
side_effect=DependencyException())
rc = client_post(client, f"{BASE_URI}/backtest", data=json.dumps(data))
assert log_has("Backtesting caused an error: ", caplog)
# Delete backtesting to avoid leakage since the backtest-object may stick around.
rc = client_delete(client, f"{BASE_URI}/backtest")
assert_response(rc)
@@ -1577,6 +1579,38 @@ def test_api_backtesting(botclient, mocker, fee, caplog, tmpdir):
assert result['status_msg'] == 'Backtest reset'
def test_api_backtest_history(botclient, mocker, testdatadir):
ftbot, client = botclient
mocker.patch('freqtrade.data.btanalysis._get_backtest_files',
return_value=[
testdatadir / 'backtest_results/backtest-result_multistrat.json',
testdatadir / 'backtest_results/backtest-result_new.json'
])
rc = client_get(client, f"{BASE_URI}/backtest/history")
assert_response(rc, 502)
ftbot.config['user_data_dir'] = testdatadir
ftbot.config['runmode'] = RunMode.WEBSERVER
rc = client_get(client, f"{BASE_URI}/backtest/history")
assert_response(rc)
result = rc.json()
assert len(result) == 3
fn = result[0]['filename']
assert fn == "backtest-result_multistrat.json"
strategy = result[0]['strategy']
rc = client_get(client, f"{BASE_URI}/backtest/history/result?filename={fn}&strategy={strategy}")
assert_response(rc)
result2 = rc.json()
assert result2
assert result2['status'] == 'ended'
assert not result2['running']
assert result2['progress'] == 1
# Only one strategy loaded - even though we use multiresult
assert len(result2['backtest_result']['strategy']) == 1
assert result2['backtest_result']['strategy'][strategy]
def test_health(botclient):
ftbot, client = botclient

89
tests/rpc/test_rpc_telegram.py
View File

@@ -184,7 +184,8 @@ def test_telegram_status(default_conf, update, mocker) -> None:
_rpc_trade_status=MagicMock(return_value=[{
'trade_id': 1,
'pair': 'ETH/BTC',
'base_currency': 'BTC',
'base_currency': 'ETH',
'quote_currency': 'BTC',
'open_date': arrow.utcnow(),
'close_date': None,
'open_rate': 1.099e-05,
@@ -398,8 +399,8 @@ def test_status_table_handle(default_conf, update, ticker, fee, mocker) -> None:
fields = re.sub('[ ]+', ' ', line[2].strip()).split(' ')
assert int(fields[0]) == 1
assert 'L' in fields[1]
assert 'ETH/BTC' in fields[2]
# assert 'L' in fields[1]
assert 'ETH/BTC' in fields[1]
assert msg_mock.call_count == 1
@@ -1016,7 +1017,7 @@ def test_reload_config_handle(default_conf, update, mocker) -> None:
assert 'Reloading config' in msg_mock.call_args_list[0][0][0]
def test_telegram_forcesell_handle(default_conf, update, ticker, fee,
def test_telegram_forceexit_handle(default_conf, update, ticker, fee,
ticker_sell_up, mocker) -> None:
mocker.patch('freqtrade.rpc.rpc.CryptoToFiatConverter._find_price', return_value=15000.0)
msg_mock = mocker.patch('freqtrade.rpc.telegram.Telegram.send_msg', MagicMock())
@@ -1044,7 +1045,7 @@ def test_telegram_forcesell_handle(default_conf, update, ticker, fee,
# Increase the price and sell it
mocker.patch('freqtrade.exchange.Exchange.fetch_ticker', ticker_sell_up)
# /forcesell 1
# /forceexit 1
context = MagicMock()
context.args = ["1"]
telegram._force_exit(update=update, context=context)
@@ -1081,8 +1082,8 @@ def test_telegram_forcesell_handle(default_conf, update, ticker, fee,
} == last_msg
def test_telegram_forcesell_down_handle(default_conf, update, ticker, fee,
ticker_sell_down, mocker) -> None:
def test_telegram_force_exit_down_handle(default_conf, update, ticker, fee,
ticker_sell_down, mocker) -> None:
mocker.patch('freqtrade.rpc.fiat_convert.CryptoToFiatConverter._find_price',
return_value=15000.0)
msg_mock = mocker.patch('freqtrade.rpc.telegram.Telegram.send_msg', MagicMock())
@@ -1114,7 +1115,7 @@ def test_telegram_forcesell_down_handle(default_conf, update, ticker, fee,
trade = Trade.query.first()
assert trade
# /forcesell 1
# /forceexit 1
context = MagicMock()
context.args = ["1"]
telegram._force_exit(update=update, context=context)
@@ -1152,7 +1153,7 @@ def test_telegram_forcesell_down_handle(default_conf, update, ticker, fee,
} == last_msg
def test_forcesell_all_handle(default_conf, update, ticker, fee, mocker) -> None:
def test_forceexit_all_handle(default_conf, update, ticker, fee, mocker) -> None:
patch_exchange(mocker)
mocker.patch('freqtrade.rpc.fiat_convert.CryptoToFiatConverter._find_price',
return_value=15000.0)
@@ -1175,7 +1176,7 @@ def test_forcesell_all_handle(default_conf, update, ticker, fee, mocker) -> None
freqtradebot.enter_positions()
msg_mock.reset_mock()
# /forcesell all
# /forceexit all
context = MagicMock()
context.args = ["all"]
telegram._force_exit(update=update, context=context)
@@ -1213,7 +1214,7 @@ def test_forcesell_all_handle(default_conf, update, ticker, fee, mocker) -> None
} == msg
def test_forcesell_handle_invalid(default_conf, update, mocker) -> None:
def test_forceexit_handle_invalid(default_conf, update, mocker) -> None:
mocker.patch('freqtrade.rpc.fiat_convert.CryptoToFiatConverter._find_price',
return_value=15000.0)
@@ -1222,26 +1223,17 @@ def test_forcesell_handle_invalid(default_conf, update, mocker) -> None:
# Trader is not running
freqtradebot.state = State.STOPPED
# /forcesell 1
# /forceexit 1
context = MagicMock()
context.args = ["1"]
telegram._force_exit(update=update, context=context)
assert msg_mock.call_count == 1
assert 'not running' in msg_mock.call_args_list[0][0][0]
# No argument
msg_mock.reset_mock()
freqtradebot.state = State.RUNNING
context = MagicMock()
context.args = []
telegram._force_exit(update=update, context=context)
assert msg_mock.call_count == 1
assert "You must specify a trade-id or 'all'." in msg_mock.call_args_list[0][0][0]
# Invalid argument
msg_mock.reset_mock()
freqtradebot.state = State.RUNNING
# /forcesell 123456
# /forceexit 123456
context = MagicMock()
context.args = ["123456"]
telegram._force_exit(update=update, context=context)
@@ -1249,6 +1241,59 @@ def test_forcesell_handle_invalid(default_conf, update, mocker) -> None:
assert 'invalid argument' in msg_mock.call_args_list[0][0][0]
def test_force_exit_no_pair(default_conf, update, ticker, fee, mocker) -> None:
default_conf['max_open_trades'] = 4
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker,
get_fee=fee,
_is_dry_limit_order_filled=MagicMock(return_value=True),
)
femock = mocker.patch('freqtrade.rpc.rpc.RPC._rpc_force_exit')
telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf)
patch_get_signal(freqtradebot)
# /forceexit
context = MagicMock()
context.args = []
telegram._force_exit(update=update, context=context)
# No pair
assert msg_mock.call_args_list[0][1]['msg'] == 'No open trade found.'
# Create some test data
freqtradebot.enter_positions()
msg_mock.reset_mock()
# /forceexit
telegram._force_exit(update=update, context=context)
keyboard = msg_mock.call_args_list[0][1]['keyboard']
# 4 pairs + cancel
assert reduce(lambda acc, x: acc + len(x), keyboard, 0) == 5
assert keyboard[-1][0].text == "Cancel"
assert keyboard[1][0].callback_data == 'force_exit__2 '
update = MagicMock()
update.callback_query = MagicMock()
update.callback_query.data = keyboard[1][0].callback_data
telegram._force_exit_inline(update, None)
assert update.callback_query.answer.call_count == 1
assert update.callback_query.edit_message_text.call_count == 1
assert femock.call_count == 1
assert femock.call_args_list[0][0][0] == '2'
# Retry exiting - but cancel instead
update.callback_query.reset_mock()
telegram._force_exit(update=update, context=context)
# Use cancel button
update.callback_query.data = keyboard[-1][0].callback_data
telegram._force_exit_inline(update, None)
query = update.callback_query
assert query.answer.call_count == 1
assert query.edit_message_text.call_count == 1
assert query.edit_message_text.call_args_list[-1][1]['text'] == "Force exit canceled."
def test_force_enter_handle(default_conf, update, mocker) -> None:
mocker.patch('freqtrade.rpc.rpc.CryptoToFiatConverter._find_price', return_value=15000.0)

30
tests/strategy/strats/broken_strats/legacy_strategy_v1.py Normal file
View File

@@ -0,0 +1,30 @@
# type: ignore
from pandas import DataFrame
from freqtrade.strategy import IStrategy
# Dummy strategy - no longer loads but raises an exception.
class TestStrategyLegacyV1(IStrategy):
minimal_roi = {
"40": 0.0,
"30": 0.01,
"20": 0.02,
"0": 0.04
}
stoploss = -0.10
timeframe = '5m'
def populate_indicators(self, dataframe: DataFrame) -> DataFrame:
return dataframe
def populate_buy_trend(self, dataframe: DataFrame) -> DataFrame:
return dataframe
def populate_sell_trend(self, dataframe: DataFrame) -> DataFrame:
return dataframe

85
tests/strategy/strats/legacy_strategy_v1.py
View File

@@ -1,85 +0,0 @@
# --- Do not remove these libs ---
# Add your lib to import here
import talib.abstract as ta
from pandas import DataFrame
from freqtrade.strategy import IStrategy
# --------------------------------
# This class is a sample. Feel free to customize it.
class TestStrategyLegacyV1(IStrategy):
"""
This is a test strategy using the legacy function headers, which will be
removed in a future update.
Please do not use this as a template, but refer to user_data/strategy/sample_strategy.py
for a uptodate version of this template.
"""
# Minimal ROI designed for the strategy.
# This attribute will be overridden if the config file contains "minimal_roi"
minimal_roi = {
"40": 0.0,
"30": 0.01,
"20": 0.02,
"0": 0.04
}
# Optimal stoploss designed for the strategy
# This attribute will be overridden if the config file contains "stoploss"
stoploss = -0.10
timeframe = '5m'
def populate_indicators(self, dataframe: DataFrame) -> DataFrame:
"""
Adds several different TA indicators to the given DataFrame
Performance Note: For the best performance be frugal on the number of indicators
you are using. Let uncomment only the indicator you are using in your strategies
or your hyperopt configuration, otherwise you will waste your memory and CPU usage.
"""
# Momentum Indicator
# ------------------------------------
# ADX
dataframe['adx'] = ta.ADX(dataframe)
# TEMA - Triple Exponential Moving Average
dataframe['tema'] = ta.TEMA(dataframe, timeperiod=9)
return dataframe
def populate_buy_trend(self, dataframe: DataFrame) -> DataFrame:
"""
Based on TA indicators, populates the buy signal for the given dataframe
:param dataframe: DataFrame
:return: DataFrame with buy column
"""
dataframe.loc[
(
(dataframe['adx'] > 30) &
(dataframe['tema'] > dataframe['tema'].shift(1)) &
(dataframe['volume'] > 0)
),
'buy'] = 1
return dataframe
def populate_sell_trend(self, dataframe: DataFrame) -> DataFrame:
"""
Based on TA indicators, populates the sell signal for the given dataframe
:param dataframe: DataFrame
:return: DataFrame with buy column
"""
dataframe.loc[
(
(dataframe['adx'] > 70) &
(dataframe['tema'] < dataframe['tema'].shift(1)) &
(dataframe['volume'] > 0)
),
'sell'] = 1
return dataframe

13
tests/strategy/strats/strategy_test_v2.py
View File

@@ -56,19 +56,6 @@ class StrategyTestV2(IStrategy):
# By default this strategy does not use Position Adjustments
position_adjustment_enable = False
def informative_pairs(self):
"""
Define additional, informative pair/interval combinations to be cached from the exchange.
These pair/interval combinations are non-tradeable, unless they are part
of the whitelist as well.
For more information, please consult the documentation
:return: List of tuples in the format (pair, interval)
Sample: return [("ETH/USDT", "5m"),
("BTC/USDT", "15m"),
]
"""
return []
def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
"""
Adds several different TA indicators to the given DataFrame

5
tests/strategy/strats/strategy_test_v3.py
View File

@@ -82,6 +82,11 @@ class StrategyTestV3(IStrategy):
# })
# return prot
bot_started = False
def bot_start(self):
self.bot_started = True
def informative_pairs(self):
return []

18
tests/strategy/test_interface.py
View File

@@ -523,7 +523,7 @@ def test_custom_exit(default_conf, fee, caplog) -> None:
assert res.exit_type == ExitType.CUSTOM_EXIT
assert res.exit_flag is True
assert res.exit_reason == 'h' * 64
assert log_has_re('Custom sell reason returned from custom_exit is too long.*', caplog)
assert log_has_re('Custom exit reason returned from custom_exit is too long.*', caplog)
@pytest.mark.parametrize('side', TRADE_SIDES)
@@ -666,27 +666,27 @@ def test_is_pair_locked(default_conf):
assert not strategy.is_pair_locked(pair)
# latest candle is from 14:20, lock goes to 14:30
assert strategy.is_pair_locked(pair, lock_time + timedelta(minutes=-10))
assert strategy.is_pair_locked(pair, lock_time + timedelta(minutes=-50))
assert strategy.is_pair_locked(pair, candle_date=lock_time + timedelta(minutes=-10))
assert strategy.is_pair_locked(pair, candle_date=lock_time + timedelta(minutes=-50))
# latest candle is from 14:25 (lock should be lifted)
# Since this is the "new candle" available at 14:30
assert not strategy.is_pair_locked(pair, lock_time + timedelta(minutes=-4))
assert not strategy.is_pair_locked(pair, candle_date=lock_time + timedelta(minutes=-4))
# Should not be locked after time expired
assert not strategy.is_pair_locked(pair, lock_time + timedelta(minutes=10))
assert not strategy.is_pair_locked(pair, candle_date=lock_time + timedelta(minutes=10))
# Change timeframe to 15m
strategy.timeframe = '15m'
# Candle from 14:14 - lock goes until 14:30
assert strategy.is_pair_locked(pair, lock_time + timedelta(minutes=-16))
assert strategy.is_pair_locked(pair, lock_time + timedelta(minutes=-15, seconds=-2))
assert strategy.is_pair_locked(pair, candle_date=lock_time + timedelta(minutes=-16))
assert strategy.is_pair_locked(pair, candle_date=lock_time + timedelta(minutes=-15, seconds=-2))
# Candle from 14:15 - lock goes until 14:30
assert not strategy.is_pair_locked(pair, lock_time + timedelta(minutes=-15))
assert not strategy.is_pair_locked(pair, candle_date=lock_time + timedelta(minutes=-15))
def test_is_informative_pairs_callback(default_conf):
default_conf.update({'strategy': 'TestStrategyLegacyV1'})
default_conf.update({'strategy': 'StrategyTestV2'})
strategy = StrategyResolver.load_strategy(default_conf)
# Should return empty
# Uses fallback to base implementation

17
tests/strategy/test_strategy_helpers.py
View File

@@ -68,6 +68,21 @@ def test_merge_informative_pair():
assert result.iloc[7]['date_1h'] == result.iloc[4]['date']
assert result.iloc[8]['date_1h'] == result.iloc[4]['date']
informative = generate_test_data('1h', 40)
result = merge_informative_pair(data, informative, '15m', '1h', ffill=False)
# First 3 rows are empty
assert result.iloc[0]['date_1h'] is pd.NaT
assert result.iloc[1]['date_1h'] is pd.NaT
assert result.iloc[2]['date_1h'] is pd.NaT
# Next 4 rows contain the starting date (0:00)
assert result.iloc[3]['date_1h'] == result.iloc[0]['date']
assert result.iloc[4]['date_1h'] is pd.NaT
assert result.iloc[5]['date_1h'] is pd.NaT
assert result.iloc[6]['date_1h'] is pd.NaT
# Next 4 rows contain the next Hourly date original date row 4
assert result.iloc[7]['date_1h'] == result.iloc[4]['date']
assert result.iloc[8]['date_1h'] is pd.NaT
def test_merge_informative_pair_same():
data = generate_test_data('15m', 40)
@@ -164,7 +179,7 @@ def test_stoploss_from_absolute():
assert pytest.approx(stoploss_from_absolute(90, 100, True)) == 0
assert pytest.approx(stoploss_from_absolute(100, 100, True)) == 0
assert pytest.approx(stoploss_from_absolute(110, 100, True)) == -(1 - (110/100))
assert pytest.approx(stoploss_from_absolute(110, 100, True)) == -(1 - (110 / 100))
assert pytest.approx(stoploss_from_absolute(110, 100, True)) == 0.1
assert pytest.approx(stoploss_from_absolute(105, 100, True)) == 0.05
assert pytest.approx(stoploss_from_absolute(100, 0, True)) == 1

76
tests/strategy/test_strategy_loading.py
View File

@@ -1,6 +1,5 @@
# pragma pylint: disable=missing-docstring, protected-access, C0103
import logging
import warnings
from base64 import urlsafe_b64encode
from pathlib import Path
@@ -35,7 +34,7 @@ def test_search_all_strategies_no_failed():
directory = Path(__file__).parent / "strats"
strategies = StrategyResolver.search_all_objects(directory, enum_failed=False)
assert isinstance(strategies, list)
assert len(strategies) == 6
assert len(strategies) == 5
assert isinstance(strategies[0], dict)
@@ -43,10 +42,10 @@ def test_search_all_strategies_with_failed():
directory = Path(__file__).parent / "strats"
strategies = StrategyResolver.search_all_objects(directory, enum_failed=True)
assert isinstance(strategies, list)
assert len(strategies) == 7
assert len(strategies) == 6
# with enum_failed=True search_all_objects() shall find 2 good strategies
# and 1 which fails to load
assert len([x for x in strategies if x['class'] is not None]) == 6
assert len([x for x in strategies if x['class'] is not None]) == 5
assert len([x for x in strategies if x['class'] is None]) == 1
@@ -100,7 +99,7 @@ def test_load_strategy_noname(default_conf):
@pytest.mark.filterwarnings("ignore:deprecated")
@pytest.mark.parametrize('strategy_name', ['StrategyTestV2', 'TestStrategyLegacyV1'])
@pytest.mark.parametrize('strategy_name', ['StrategyTestV2'])
def test_strategy_pre_v3(result, default_conf, strategy_name):
default_conf.update({'strategy': strategy_name})
@@ -346,40 +345,6 @@ def test_strategy_override_use_exit_profit_only(caplog, default_conf):
assert log_has("Override strategy 'exit_profit_only' with value in config file: True.", caplog)
@pytest.mark.filterwarnings("ignore:deprecated")
def test_deprecate_populate_indicators(result, default_conf):
default_location = Path(__file__).parent / "strats"
default_conf.update({'strategy': 'TestStrategyLegacyV1',
'strategy_path': default_location})
strategy = StrategyResolver.load_strategy(default_conf)
with warnings.catch_warnings(record=True) as w:
# Cause all warnings to always be triggered.
warnings.simplefilter("always")
indicators = strategy.advise_indicators(result, {'pair': 'ETH/BTC'})
assert len(w) == 1
assert issubclass(w[-1].category, DeprecationWarning)
assert "deprecated - check out the Sample strategy to see the current function headers!" \
in str(w[-1].message)
with warnings.catch_warnings(record=True) as w:
# Cause all warnings to always be triggered.
warnings.simplefilter("always")
strategy.advise_entry(indicators, {'pair': 'ETH/BTC'})
assert len(w) == 1
assert issubclass(w[-1].category, DeprecationWarning)
assert "deprecated - check out the Sample strategy to see the current function headers!" \
in str(w[-1].message)
with warnings.catch_warnings(record=True) as w:
# Cause all warnings to always be triggered.
warnings.simplefilter("always")
strategy.advise_exit(indicators, {'pair': 'ETH_BTC'})
assert len(w) == 1
assert issubclass(w[-1].category, DeprecationWarning)
assert "deprecated - check out the Sample strategy to see the current function headers!" \
in str(w[-1].message)
@pytest.mark.filterwarnings("ignore:deprecated")
def test_missing_implements(default_conf, caplog):
@@ -438,33 +403,14 @@ def test_missing_implements(default_conf, caplog):
StrategyResolver.load_strategy(default_conf)
@pytest.mark.filterwarnings("ignore:deprecated")
def test_call_deprecated_function(result, default_conf, caplog):
default_location = Path(__file__).parent / "strats"
def test_call_deprecated_function(default_conf):
default_location = Path(__file__).parent / "strats/broken_strats/"
del default_conf['timeframe']
default_conf.update({'strategy': 'TestStrategyLegacyV1',
'strategy_path': default_location})
strategy = StrategyResolver.load_strategy(default_conf)
metadata = {'pair': 'ETH/BTC'}
# Make sure we are using a legacy function
assert strategy._populate_fun_len == 2
assert strategy._buy_fun_len == 2
assert strategy._sell_fun_len == 2
assert strategy.INTERFACE_VERSION == 1
assert strategy.timeframe == '5m'
indicator_df = strategy.advise_indicators(result, metadata=metadata)
assert isinstance(indicator_df, DataFrame)
assert 'adx' in indicator_df.columns
enterdf = strategy.advise_entry(result, metadata=metadata)
assert isinstance(enterdf, DataFrame)
assert 'enter_long' in enterdf.columns
exitdf = strategy.advise_exit(result, metadata=metadata)
assert isinstance(exitdf, DataFrame)
assert 'exit_long' in exitdf
with pytest.raises(OperationalException,
match=r"Strategy Interface v1 is no longer supported.*"):
StrategyResolver.load_strategy(default_conf)
def test_strategy_interface_versioning(result, default_conf):
@@ -472,10 +418,6 @@ def test_strategy_interface_versioning(result, default_conf):
strategy = StrategyResolver.load_strategy(default_conf)
metadata = {'pair': 'ETH/BTC'}
# Make sure we are using a legacy function
assert strategy._populate_fun_len == 3
assert strategy._buy_fun_len == 3
assert strategy._sell_fun_len == 3
assert strategy.INTERFACE_VERSION == 2
indicator_df = strategy.advise_indicators(result, metadata=metadata)

30
tests/test_configuration.py
View File

@@ -18,7 +18,8 @@ from freqtrade.configuration.deprecated_settings import (check_conflicting_setti
process_removed_setting,
process_temporary_deprecated_settings)
from freqtrade.configuration.environment_vars import flat_vars_to_nested_dict
from freqtrade.configuration.load_config import load_config_file, load_file, log_config_error_range
from freqtrade.configuration.load_config import (load_config_file, load_file, load_from_files,
log_config_error_range)
from freqtrade.constants import DEFAULT_DB_DRYRUN_URL, DEFAULT_DB_PROD_URL, ENV_VAR_PREFIX
from freqtrade.enums import RunMode
from freqtrade.exceptions import OperationalException
@@ -206,6 +207,33 @@ def test_from_config(default_conf, mocker, caplog) -> None:
assert isinstance(validated_conf['user_data_dir'], Path)
def test_from_recursive_files(testdatadir) -> None:
files = testdatadir / "testconfigs/testconfig.json"
conf = Configuration.from_files([files])
assert conf
# Exchange comes from "the first config"
assert conf['exchange']
# Pricing comes from the 2nd config
assert conf['entry_pricing']
assert conf['entry_pricing']['price_side'] == "same"
assert conf['exit_pricing']
# The other key comes from pricing2, which is imported by pricing.json.
# pricing.json is a level higher, therefore wins.
assert conf['exit_pricing']['price_side'] == "same"
assert len(conf['config_files']) == 4
assert 'testconfig.json' in conf['config_files'][0]
assert 'test_pricing_conf.json' in conf['config_files'][1]
assert 'test_base_config.json' in conf['config_files'][2]
assert 'test_pricing2_conf.json' in conf['config_files'][3]
files = testdatadir / "testconfigs/recursive.json"
with pytest.raises(OperationalException, match="Config loop detected."):
load_from_files([files])
def test_print_config(default_conf, mocker, caplog) -> None:
conf1 = deepcopy(default_conf)
# Delete non-json elements from default_conf

40
tests/test_freqtradebot.py
View File

@@ -20,6 +20,7 @@ from freqtrade.exceptions import (DependencyException, ExchangeError, Insufficie
from freqtrade.freqtradebot import FreqtradeBot
from freqtrade.persistence import Order, PairLocks, Trade
from freqtrade.persistence.models import PairLock
from freqtrade.plugins.protections.iprotection import ProtectionReturn
from freqtrade.worker import Worker
from tests.conftest import (create_mock_trades, get_patched_freqtradebot, get_patched_worker,
log_has, log_has_re, patch_edge, patch_exchange, patch_get_signal,
@@ -421,7 +422,7 @@ def test_enter_positions_global_pairlock(default_conf_usdt, ticker_usdt, limit_b
assert not log_has_re(message, caplog)
caplog.clear()
PairLocks.lock_pair('*', arrow.utcnow().shift(minutes=20).datetime, 'Just because')
PairLocks.lock_pair('*', arrow.utcnow().shift(minutes=20).datetime, 'Just because', side='*')
n = freqtrade.enter_positions()
assert n == 0
assert log_has_re(message, caplog)
@@ -442,9 +443,9 @@ def test_handle_protections(mocker, default_conf_usdt, fee, is_short):
freqtrade = get_patched_freqtradebot(mocker, default_conf_usdt)
freqtrade.protections._protection_handlers[1].global_stop = MagicMock(
return_value=(True, arrow.utcnow().shift(hours=1).datetime, "asdf"))
return_value=ProtectionReturn(True, arrow.utcnow().shift(hours=1).datetime, "asdf"))
create_mock_trades(fee, is_short)
freqtrade.handle_protections('ETC/BTC')
freqtrade.handle_protections('ETC/BTC', '*')
send_msg_mock = freqtrade.rpc.send_msg
assert send_msg_mock.call_count == 2
assert send_msg_mock.call_args_list[0][0][0]['type'] == RPCMessageType.PROTECTION_TRIGGER
@@ -718,12 +719,12 @@ def test_process_informative_pairs_added(default_conf_usdt, ticker_usdt, mocker)
(True, 'spot', 'gateio', None, 0.0, None),
(False, 'spot', 'okx', None, 0.0, None),
(True, 'spot', 'okx', None, 0.0, None),
(True, 'futures', 'binance', 'isolated', 0.0, 11.89108910891089),
(False, 'futures', 'binance', 'isolated', 0.0, 8.070707070707071),
(True, 'futures', 'binance', 'isolated', 0.0, 11.88151815181518),
(False, 'futures', 'binance', 'isolated', 0.0, 8.080471380471382),
(True, 'futures', 'gateio', 'isolated', 0.0, 11.87413417771621),
(False, 'futures', 'gateio', 'isolated', 0.0, 8.085708510208207),
(True, 'futures', 'binance', 'isolated', 0.05, 11.796534653465345),
(False, 'futures', 'binance', 'isolated', 0.05, 8.167171717171717),
(True, 'futures', 'binance', 'isolated', 0.05, 11.7874422442244),
(False, 'futures', 'binance', 'isolated', 0.05, 8.17644781144781),
(True, 'futures', 'gateio', 'isolated', 0.05, 11.7804274688304),
(False, 'futures', 'gateio', 'isolated', 0.05, 8.181423084697796),
(True, 'futures', 'okx', 'isolated', 0.0, 11.87413417771621),
@@ -846,6 +847,7 @@ def test_execute_entry(mocker, default_conf_usdt, fee, limit_order,
assert trade.open_order_id is None
assert trade.open_rate == 10
assert trade.stake_amount == round(order['average'] * order['filled'] / leverage, 8)
assert pytest.approx(trade.liquidation_price) == liq_price
# In case of rejected or expired order and partially filled
order['status'] = 'expired'
@@ -933,8 +935,6 @@ def test_execute_entry(mocker, default_conf_usdt, fee, limit_order,
assert trade.open_rate_requested == 10
# In case of custom entry price not float type
freqtrade.exchange.get_maintenance_ratio_and_amt = MagicMock(return_value=(0.01, 0.01))
freqtrade.exchange.name = exchange_name
order['status'] = 'open'
order['id'] = '5568'
freqtrade.strategy.custom_entry_price = lambda **kwargs: "string price"
@@ -947,7 +947,6 @@ def test_execute_entry(mocker, default_conf_usdt, fee, limit_order,
trade.is_short = is_short
assert trade
assert trade.open_rate_requested == 10
assert trade.liquidation_price == liq_price
# In case of too high stake amount
@@ -3232,7 +3231,7 @@ def test_execute_trade_exit_custom_exit_price(
freqtrade.execute_trade_exit(
trade=trade,
limit=ticker_usdt_sell_up()['ask' if is_short else 'bid'],
exit_check=ExitCheckTuple(exit_type=ExitType.EXIT_SIGNAL)
exit_check=ExitCheckTuple(exit_type=ExitType.EXIT_SIGNAL, exit_reason='foo')
)
# Sell price must be different to default bid price
@@ -3260,8 +3259,8 @@ def test_execute_trade_exit_custom_exit_price(
'profit_ratio': profit_ratio,
'stake_currency': 'USDT',
'fiat_currency': 'USD',
'sell_reason': ExitType.EXIT_SIGNAL.value,
'exit_reason': ExitType.EXIT_SIGNAL.value,
'sell_reason': 'foo',
'exit_reason': 'foo',
'open_date': ANY,
'close_date': ANY,
'close_rate': ANY,
@@ -3680,6 +3679,7 @@ def test_exit_profit_only(
})
freqtrade = FreqtradeBot(default_conf_usdt)
patch_get_signal(freqtrade, enter_short=is_short, enter_long=not is_short)
freqtrade.strategy.custom_exit = MagicMock(return_value=None)
if exit_type == ExitType.EXIT_SIGNAL.value:
freqtrade.strategy.min_roi_reached = MagicMock(return_value=False)
else:
@@ -3688,10 +3688,15 @@ def test_exit_profit_only(
freqtrade.enter_positions()
trade = Trade.query.first()
trade.is_short = is_short
assert trade.is_short == is_short
oobj = Order.parse_from_ccxt_object(limit_order[eside], limit_order[eside]['symbol'], eside)
trade.update_trade(oobj)
freqtrade.wallets.update()
if profit_only:
assert freqtrade.handle_trade(trade) is False
# Custom-exit is called
freqtrade.strategy.custom_exit.call_count == 1
patch_get_signal(freqtrade, enter_long=False, exit_short=is_short, exit_long=not is_short)
assert freqtrade.handle_trade(trade) is handle_first
@@ -3806,13 +3811,16 @@ def test_locked_pairs(default_conf_usdt, ticker_usdt, fee,
exit_check=ExitCheckTuple(exit_type=ExitType.STOP_LOSS)
)
trade.close(ticker_usdt_sell_down()['bid'])
assert freqtrade.strategy.is_pair_locked(trade.pair)
assert freqtrade.strategy.is_pair_locked(trade.pair, side='*')
# Boths sides are locked
assert freqtrade.strategy.is_pair_locked(trade.pair, side='long')
assert freqtrade.strategy.is_pair_locked(trade.pair, side='short')
# reinit - should buy other pair.
caplog.clear()
freqtrade.enter_positions()
assert log_has_re(f"Pair {trade.pair} is still locked.*", caplog)
assert log_has_re(fr"Pair {trade.pair} \* is locked.*", caplog)
@pytest.mark.parametrize("is_short", [False, True])

162
tests/test_persistence.py
View File

@@ -15,6 +15,7 @@ from freqtrade.enums import TradingMode
from freqtrade.exceptions import DependencyException, OperationalException
from freqtrade.persistence import LocalTrade, Order, Trade, clean_dry_run_db, init_db
from freqtrade.persistence.migrations import get_last_sequence_ids, set_sequence_ids
from freqtrade.persistence.models import PairLock
from tests.conftest import create_mock_trades, create_mock_trades_with_leverage, log_has, log_has_re
@@ -119,7 +120,7 @@ def test_set_stop_loss_isolated_liq(fee):
assert trade.stop_loss is None
assert trade.initial_stop_loss is None
trade._set_stop_loss(0.1, (1.0/9.0))
trade._set_stop_loss(0.1, (1.0 / 9.0))
assert trade.liquidation_price == 0.09
assert trade.stop_loss == 0.1
assert trade.initial_stop_loss == 0.1
@@ -160,7 +161,7 @@ def test_set_stop_loss_isolated_liq(fee):
assert trade.stop_loss is None
assert trade.initial_stop_loss is None
trade._set_stop_loss(0.08, (1.0/9.0))
trade._set_stop_loss(0.08, (1.0 / 9.0))
assert trade.liquidation_price == 0.09
assert trade.stop_loss == 0.08
assert trade.initial_stop_loss == 0.08
@@ -171,13 +172,13 @@ def test_set_stop_loss_isolated_liq(fee):
assert trade.initial_stop_loss == 0.08
trade.set_isolated_liq(0.07)
trade._set_stop_loss(0.1, (1.0/8.0))
trade._set_stop_loss(0.1, (1.0 / 8.0))
assert trade.liquidation_price == 0.07
assert trade.stop_loss == 0.07
assert trade.initial_stop_loss == 0.08
# Stop doesn't move stop higher
trade._set_stop_loss(0.1, (1.0/9.0))
trade._set_stop_loss(0.1, (1.0 / 9.0))
assert trade.liquidation_price == 0.07
assert trade.stop_loss == 0.07
assert trade.initial_stop_loss == 0.08
@@ -1209,6 +1210,27 @@ def test_migrate_new(mocker, default_conf, fee, caplog):
PRIMARY KEY (id),
CHECK (is_open IN (0, 1))
);"""
create_table_order = """CREATE TABLE orders (
id INTEGER NOT NULL,
ft_trade_id INTEGER,
ft_order_side VARCHAR(25) NOT NULL,
ft_pair VARCHAR(25) NOT NULL,
ft_is_open BOOLEAN NOT NULL,
order_id VARCHAR(255) NOT NULL,
status VARCHAR(255),
symbol VARCHAR(25),
order_type VARCHAR(50),
side VARCHAR(25),
price FLOAT,
amount FLOAT,
filled FLOAT,
remaining FLOAT,
cost FLOAT,
order_date DATETIME,
order_filled_date DATETIME,
order_update_date DATETIME,
PRIMARY KEY (id)
);"""
insert_table_old = """INSERT INTO trades (exchange, pair, is_open, fee,
open_rate, stake_amount, amount, open_date,
stop_loss, initial_stop_loss, max_rate, ticker_interval,
@@ -1222,15 +1244,66 @@ def test_migrate_new(mocker, default_conf, fee, caplog):
stake=default_conf.get("stake_amount"),
amount=amount
)
insert_orders = f"""
insert into orders (
ft_trade_id,
ft_order_side,
ft_pair,
ft_is_open,
order_id,
status,
symbol,
order_type,
side,
price,
amount,
filled,
remaining,
cost)
values (
1,
'buy',
'ETC/BTC',
0,
'buy_order',
'closed',
'ETC/BTC',
'limit',
'buy',
0.00258580,
{amount},
{amount},
0,
{amount * 0.00258580}
),
(
1,
'stoploss',
'ETC/BTC',
0,
'stop_order_id222',
'closed',
'ETC/BTC',
'limit',
'sell',
0.00258580,
{amount},
{amount},
0,
{amount * 0.00258580}
)
"""
engine = create_engine('sqlite://')
mocker.patch('freqtrade.persistence.models.create_engine', lambda *args, **kwargs: engine)
# Create table using the old format
with engine.begin() as connection:
connection.execute(text(create_table_old))
connection.execute(text(create_table_order))
connection.execute(text("create index ix_trades_is_open on trades(is_open)"))
connection.execute(text("create index ix_trades_pair on trades(pair)"))
connection.execute(text(insert_table_old))
connection.execute(text(insert_orders))
# fake previous backup
connection.execute(text("create table trades_bak as select * from trades"))
@@ -1267,8 +1340,7 @@ def test_migrate_new(mocker, default_conf, fee, caplog):
assert trade.open_trade_value == trade._calc_open_trade_value()
assert trade.close_profit_abs is None
assert log_has("Moving open orders to Orders table.", caplog)
orders = Order.query.all()
orders = trade.orders
assert len(orders) == 2
assert orders[0].order_id == 'buy_order'
assert orders[0].ft_order_side == 'buy'
@@ -1277,7 +1349,7 @@ def test_migrate_new(mocker, default_conf, fee, caplog):
assert orders[1].ft_order_side == 'stoploss'
def test_migrate_mid_state(mocker, default_conf, fee, caplog):
def test_migrate_too_old(mocker, default_conf, fee, caplog):
"""
Test Database migration (starting with new pairformat)
"""
@@ -1301,6 +1373,7 @@ def test_migrate_mid_state(mocker, default_conf, fee, caplog):
PRIMARY KEY (id),
CHECK (is_open IN (0, 1))
);"""
insert_table_old = """INSERT INTO trades (exchange, pair, is_open, fee_open, fee_close,
open_rate, stake_amount, amount, open_date)
VALUES ('binance', 'ETC/BTC', 1, {fee}, {fee},
@@ -1319,26 +1392,8 @@ def test_migrate_mid_state(mocker, default_conf, fee, caplog):
connection.execute(text(insert_table_old))
# Run init to test migration
init_db(default_conf['db_url'], default_conf['dry_run'])
assert len(Trade.query.filter(Trade.id == 1).all()) == 1
trade = Trade.query.filter(Trade.id == 1).first()
assert trade.fee_open == fee.return_value
assert trade.fee_close == fee.return_value
assert trade.open_rate_requested is None
assert trade.close_rate_requested is None
assert trade.is_open == 1
assert trade.amount == amount
assert trade.stake_amount == default_conf.get("stake_amount")
assert trade.pair == "ETC/BTC"
assert trade.exchange == "binance"
assert trade.max_rate == 0.0
assert trade.stop_loss == 0.0
assert trade.initial_stop_loss == 0.0
assert trade.open_trade_value == trade._calc_open_trade_value()
assert log_has("trying trades_bak0", caplog)
assert log_has("Running database migration for trades - backup: trades_bak0, orders_bak0",
caplog)
with pytest.raises(OperationalException, match=r'Your database seems to be very old'):
init_db(default_conf['db_url'], default_conf['dry_run'])
def test_migrate_get_last_sequence_ids():
@@ -1373,6 +1428,55 @@ def test_migrate_set_sequence_ids():
assert engine.begin.call_count == 0
def test_migrate_pairlocks(mocker, default_conf, fee, caplog):
"""
Test Database migration (starting with new pairformat)
"""
caplog.set_level(logging.DEBUG)
# Always create all columns apart from the last!
create_table_old = """CREATE TABLE pairlocks (
id INTEGER NOT NULL,
pair VARCHAR(25) NOT NULL,
reason VARCHAR(255),
lock_time DATETIME NOT NULL,
lock_end_time DATETIME NOT NULL,
active BOOLEAN NOT NULL,
PRIMARY KEY (id)
)
"""
create_index1 = "CREATE INDEX ix_pairlocks_pair ON pairlocks (pair)"
create_index2 = "CREATE INDEX ix_pairlocks_lock_end_time ON pairlocks (lock_end_time)"
create_index3 = "CREATE INDEX ix_pairlocks_active ON pairlocks (active)"
insert_table_old = """INSERT INTO pairlocks (
id, pair, reason, lock_time, lock_end_time, active)
VALUES (1, 'ETH/BTC', 'Auto lock', '2021-07-12 18:41:03', '2021-07-11 18:45:00', 1)
"""
insert_table_old2 = """INSERT INTO pairlocks (
id, pair, reason, lock_time, lock_end_time, active)
VALUES (2, '*', 'Lock all', '2021-07-12 18:41:03', '2021-07-12 19:00:00', 1)
"""
engine = create_engine('sqlite://')
mocker.patch('freqtrade.persistence.models.create_engine', lambda *args, **kwargs: engine)
# Create table using the old format
with engine.begin() as connection:
connection.execute(text(create_table_old))
connection.execute(text(insert_table_old))
connection.execute(text(insert_table_old2))
connection.execute(text(create_index1))
connection.execute(text(create_index2))
connection.execute(text(create_index3))
init_db(default_conf['db_url'], default_conf['dry_run'])
assert len(PairLock.query.all()) == 2
assert len(PairLock.query.filter(PairLock.pair == '*').all()) == 1
pairlocks = PairLock.query.filter(PairLock.pair == 'ETH/BTC').all()
assert len(pairlocks) == 1
pairlocks[0].pair == 'ETH/BTC'
pairlocks[0].side == '*'
def test_adjust_stop_loss(fee):
trade = Trade(
pair='ADA/USDT',
@@ -1561,6 +1665,8 @@ def test_to_json(fee):
assert result == {'trade_id': None,
'pair': 'ADA/USDT',
'base_currency': 'ADA',
'quote_currency': 'USDT',
'is_open': None,
'open_date': trade.open_date.strftime("%Y-%m-%d %H:%M:%S"),
'open_timestamp': int(trade.open_date.timestamp() * 1000),
@@ -1638,6 +1744,8 @@ def test_to_json(fee):
assert result == {'trade_id': None,
'pair': 'XRP/BTC',
'base_currency': 'XRP',
'quote_currency': 'BTC',
'open_date': trade.open_date.strftime("%Y-%m-%d %H:%M:%S"),
'open_timestamp': int(trade.open_date.timestamp() * 1000),
'close_date': trade.close_date.strftime("%Y-%m-%d %H:%M:%S"),

26
tests/test_plotting.py
View File

@@ -10,7 +10,8 @@ from plotly.subplots import make_subplots
from freqtrade.commands import start_plot_dataframe, start_plot_profit
from freqtrade.configuration import TimeRange
from freqtrade.data import history
from freqtrade.data.btanalysis import create_cum_profit, load_backtest_data
from freqtrade.data.btanalysis import load_backtest_data
from freqtrade.data.metrics import create_cum_profit
from freqtrade.exceptions import OperationalException
from freqtrade.plot.plotting import (add_areas, add_indicators, add_profit, create_plotconfig,
generate_candlestick_graph, generate_plot_filename,
@@ -157,7 +158,7 @@ def test_plot_trades(testdatadir, caplog):
assert fig == fig1
assert log_has("No trades found.", caplog)
pair = "ADA/BTC"
filename = testdatadir / "backtest-result_new.json"
filename = testdatadir / "backtest_results/backtest-result_new.json"
trades = load_backtest_data(filename)
trades = trades.loc[trades['pair'] == pair]
@@ -298,7 +299,7 @@ def test_generate_plot_file(mocker, caplog):
def test_add_profit(testdatadir):
filename = testdatadir / "backtest-result_new.json"
filename = testdatadir / "backtest_results/backtest-result_new.json"
bt_data = load_backtest_data(filename)
timerange = TimeRange.parse_timerange("20180110-20180112")
@@ -318,7 +319,7 @@ def test_add_profit(testdatadir):
def test_generate_profit_graph(testdatadir):
filename = testdatadir / "backtest-result_new.json"
filename = testdatadir / "backtest_results/backtest-result_new.json"
trades = load_backtest_data(filename)
timerange = TimeRange.parse_timerange("20180110-20180112")
pairs = ["TRX/BTC", "XLM/BTC"]
@@ -331,7 +332,13 @@ def test_generate_profit_graph(testdatadir):
trades = trades[trades['pair'].isin(pairs)]
fig = generate_profit_graph(pairs, data, trades, timeframe="5m", stake_currency='BTC')
fig = generate_profit_graph(
pairs,
data,
trades,
timeframe="5m",
stake_currency='BTC',
starting_balance=0)
assert isinstance(fig, go.Figure)
assert fig.layout.title.text == "Freqtrade Profit plot"
@@ -340,7 +347,7 @@ def test_generate_profit_graph(testdatadir):
assert fig.layout.yaxis3.title.text == "Profit BTC"
figure = fig.layout.figure
assert len(figure.data) == 7
assert len(figure.data) == 8
avgclose = find_trace_in_fig_data(figure.data, "Avg close price")
assert isinstance(avgclose, go.Scatter)
@@ -355,6 +362,9 @@ def test_generate_profit_graph(testdatadir):
underwater = find_trace_in_fig_data(figure.data, "Underwater Plot")
assert isinstance(underwater, go.Scatter)
underwater_relative = find_trace_in_fig_data(figure.data, "Underwater Plot (%)")
assert isinstance(underwater_relative, go.Scatter)
for pair in pairs:
profit_pair = find_trace_in_fig_data(figure.data, f"Profit {pair}")
assert isinstance(profit_pair, go.Scatter)
@@ -362,7 +372,7 @@ def test_generate_profit_graph(testdatadir):
with pytest.raises(OperationalException, match=r"No trades found.*"):
# Pair cannot be empty - so it's an empty dataframe.
generate_profit_graph(pairs, data, trades.loc[trades['pair'].isnull()], timeframe="5m",
stake_currency='BTC')
stake_currency='BTC', starting_balance=0)
def test_start_plot_dataframe(mocker):
@@ -456,7 +466,7 @@ def test_plot_profit(default_conf, mocker, testdatadir):
match=r"No trades found, cannot generate Profit-plot.*"):
plot_profit(default_conf)
default_conf['exportfilename'] = testdatadir / "backtest-result_new.json"
default_conf['exportfilename'] = testdatadir / "backtest_results/backtest-result_new.json"
plot_profit(default_conf)

0
tests/testdata/.last_result.json → tests/testdata/backtest_results/.last_result.json vendored
View File

0
tests/testdata/backtest-result_multistrat.json → tests/testdata/backtest_results/backtest-result_multistrat.json vendored
View File

10
tests/testdata/backtest_results/backtest-result_multistrat.meta.json vendored Normal file
View File

@@ -0,0 +1,10 @@
{
"StrategyTestV2": {
"run_id": "430d0271075ef327edbb23088f4db4ebe51a3dbf",
"backtest_start_time": 1648904006
},
"TestStrategy": {
"run_id": "110d0271075ef327edbb23085102b4ebe51a3d55",
"backtest_start_time": 1648904006
}
}

0
tests/testdata/backtest-result_new.json → tests/testdata/backtest_results/backtest-result_new.json vendored
View File

6
tests/testdata/backtest_results/backtest-result_new.meta.json vendored Normal file
View File

@@ -0,0 +1,6 @@
{
"StrategyTestV3": {
"run_id": "430d0271075ef327edbb23088f4db4ebe51a3dbf",
"backtest_start_time": 1648904006
}
}

6
tests/testdata/testconfigs/recursive.json vendored Normal file
View File

@@ -0,0 +1,6 @@
{
// This file fails as it's loading itself over and over
"add_config_files": [
"./recursive.json"
]
}

12
tests/testdata/testconfigs/test_base_config.json vendored Normal file
View File

@@ -0,0 +1,12 @@
{
"stake_currency": "",
"dry_run": true,
"exchange": {
"name": "",
"key": "",
"secret": "",
"pair_whitelist": [],
"ccxt_async_config": {
}
}
}

18
tests/testdata/testconfigs/test_pricing2_conf.json vendored Normal file
View File

@@ -0,0 +1,18 @@
{
"entry_pricing": {
"price_side": "same",
"use_order_book": true,
"order_book_top": 1,
"price_last_balance": 0.0,
"check_depth_of_market": {
"enabled": false,
"bids_to_ask_delta": 1
}
},
"exit_pricing":{
"price_side": "other",
"use_order_book": true,
"order_book_top": 1,
"price_last_balance": 0.0
}
}

21
tests/testdata/testconfigs/test_pricing_conf.json vendored Normal file
View File

@@ -0,0 +1,21 @@
{
"entry_pricing": {
"price_side": "same",
"use_order_book": true,
"order_book_top": 1,
"price_last_balance": 0.0,
"check_depth_of_market": {
"enabled": false,
"bids_to_ask_delta": 1
}
},
"exit_pricing":{
"price_side": "same",
"use_order_book": true,
"order_book_top": 1,
"price_last_balance": 0.0
},
"add_config_files": [
"./test_pricing2_conf.json"
]
}

6
tests/testdata/testconfigs/testconfig.json vendored Normal file
View File

@@ -0,0 +1,6 @@
{
"add_config_files": [
"test_base_config.json",
"test_pricing_conf.json"
]
}