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merged with feat/short

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This commit is contained in:
Sam Germain
2021-09-27 23:26:20 -06:00
parent 043bfcd5ad d7ce9b9f6d
commit 1a132758d0
37 changed files with 528 additions and 300 deletions
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3
tests/strategy/strats/informative_decorator_strategy.py
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@@ -2,8 +2,7 @@
from pandas import DataFrame
from freqtrade.strategy import informative, merge_informative_pair
from freqtrade.strategy.interface import IStrategy
from freqtrade.strategy import IStrategy, informative, merge_informative_pair
class InformativeDecoratorTest(IStrategy):

2
tests/strategy/strats/legacy_strategy_v1.py
View File

@@ -4,7 +4,7 @@
import talib.abstract as ta
from pandas import DataFrame
from freqtrade.strategy.interface import IStrategy
from freqtrade.strategy import IStrategy
# --------------------------------

2
tests/strategy/strats/strategy_test_v2.py
View File

@@ -4,7 +4,7 @@ import talib.abstract as ta
from pandas import DataFrame
import freqtrade.vendor.qtpylib.indicators as qtpylib
from freqtrade.strategy.interface import IStrategy
from freqtrade.strategy import IStrategy
class StrategyTestV2(IStrategy):

181
tests/strategy/strats/strategy_test_v3.py Normal file
View File

@@ -0,0 +1,181 @@
# pragma pylint: disable=missing-docstring, invalid-name, pointless-string-statement
from datetime import datetime
import talib.abstract as ta
from pandas import DataFrame
import freqtrade.vendor.qtpylib.indicators as qtpylib
from freqtrade.strategy import (BooleanParameter, DecimalParameter, IntParameter, IStrategy,
RealParameter)
class StrategyTestV3(IStrategy):
"""
Strategy used by tests freqtrade bot.
Please do not modify this strategy, it's intended for internal use only.
Please look at the SampleStrategy in the user_data/strategy directory
or strategy repository https://github.com/freqtrade/freqtrade-strategies
for samples and inspiration.
"""
INTERFACE_VERSION = 3
# Minimal ROI designed for the strategy
minimal_roi = {
"40": 0.0,
"30": 0.01,
"20": 0.02,
"0": 0.04
}
# Optimal stoploss designed for the strategy
stoploss = -0.10
# Optimal timeframe for the strategy
timeframe = '5m'
# Optional order type mapping
order_types = {
'buy': 'limit',
'sell': 'limit',
'stoploss': 'limit',
'stoploss_on_exchange': False
}
# Number of candles the strategy requires before producing valid signals
startup_candle_count: int = 20
# Optional time in force for orders
order_time_in_force = {
'buy': 'gtc',
'sell': 'gtc',
}
buy_params = {
'buy_rsi': 35,
# Intentionally not specified, so "default" is tested
# 'buy_plusdi': 0.4
}
sell_params = {
'sell_rsi': 74,
'sell_minusdi': 0.4
}
buy_rsi = IntParameter([0, 50], default=30, space='buy')
buy_plusdi = RealParameter(low=0, high=1, default=0.5, space='buy')
sell_rsi = IntParameter(low=50, high=100, default=70, space='sell')
sell_minusdi = DecimalParameter(low=0, high=1, default=0.5001, decimals=3, space='sell',
load=False)
protection_enabled = BooleanParameter(default=True)
protection_cooldown_lookback = IntParameter([0, 50], default=30)
# TODO-lev: Can we make this work with protection tests?
# TODO-lev: (Would replace HyperoptableStrategy implicitly ... )
# @property
# def protections(self):
# prot = []
# if self.protection_enabled.value:
# prot.append({
# "method": "CooldownPeriod",
# "stop_duration_candles": self.protection_cooldown_lookback.value
# })
# return prot
def informative_pairs(self):
return []
def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
# Momentum Indicator
# ------------------------------------
# ADX
dataframe['adx'] = ta.ADX(dataframe)
# MACD
macd = ta.MACD(dataframe)
dataframe['macd'] = macd['macd']
dataframe['macdsignal'] = macd['macdsignal']
dataframe['macdhist'] = macd['macdhist']
# Minus Directional Indicator / Movement
dataframe['minus_di'] = ta.MINUS_DI(dataframe)
# Plus Directional Indicator / Movement
dataframe['plus_di'] = ta.PLUS_DI(dataframe)
# RSI
dataframe['rsi'] = ta.RSI(dataframe)
# Stoch fast
stoch_fast = ta.STOCHF(dataframe)
dataframe['fastd'] = stoch_fast['fastd']
dataframe['fastk'] = stoch_fast['fastk']
# Bollinger bands
bollinger = qtpylib.bollinger_bands(qtpylib.typical_price(dataframe), window=20, stds=2)
dataframe['bb_lowerband'] = bollinger['lower']
dataframe['bb_middleband'] = bollinger['mid']
dataframe['bb_upperband'] = bollinger['upper']
# EMA - Exponential Moving Average
dataframe['ema10'] = ta.EMA(dataframe, timeperiod=10)
return dataframe
def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
dataframe.loc[
(
(dataframe['rsi'] < self.buy_rsi.value) &
(dataframe['fastd'] < 35) &
(dataframe['adx'] > 30) &
(dataframe['plus_di'] > self.buy_plusdi.value)
) |
(
(dataframe['adx'] > 65) &
(dataframe['plus_di'] > self.buy_plusdi.value)
),
'enter_long'] = 1
dataframe.loc[
(
qtpylib.crossed_below(dataframe['rsi'], self.sell_rsi.value)
),
'enter_short'] = 1
return dataframe
def populate_sell_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
dataframe.loc[
(
(
(qtpylib.crossed_above(dataframe['rsi'], self.sell_rsi.value)) |
(qtpylib.crossed_above(dataframe['fastd'], 70))
) &
(dataframe['adx'] > 10) &
(dataframe['minus_di'] > 0)
) |
(
(dataframe['adx'] > 70) &
(dataframe['minus_di'] > self.sell_minusdi.value)
),
'exit_long'] = 1
dataframe.loc[
(
qtpylib.crossed_above(dataframe['rsi'], self.buy_rsi.value)
),
'exit_short'] = 1
# TODO-lev: Add short logic
return dataframe
def leverage(self, pair: str, current_time: datetime, current_rate: float,
proposed_leverage: float, max_leverage: float, side: str,
**kwargs) -> float:
# Return 3.0 in all cases.
# Bot-logic must make sure it's an allowed leverage and eventually adjust accordingly.
return 3.0

18
tests/strategy/test_default_strategy.py
View File

@@ -4,20 +4,20 @@ from pandas import DataFrame
from freqtrade.persistence.models import Trade
from .strats.strategy_test_v2 import StrategyTestV2
from .strats.strategy_test_v3 import StrategyTestV3
def test_strategy_test_v2_structure():
assert hasattr(StrategyTestV2, 'minimal_roi')
assert hasattr(StrategyTestV2, 'stoploss')
assert hasattr(StrategyTestV2, 'timeframe')
assert hasattr(StrategyTestV2, 'populate_indicators')
assert hasattr(StrategyTestV2, 'populate_buy_trend')
assert hasattr(StrategyTestV2, 'populate_sell_trend')
assert hasattr(StrategyTestV3, 'minimal_roi')
assert hasattr(StrategyTestV3, 'stoploss')
assert hasattr(StrategyTestV3, 'timeframe')
assert hasattr(StrategyTestV3, 'populate_indicators')
assert hasattr(StrategyTestV3, 'populate_buy_trend')
assert hasattr(StrategyTestV3, 'populate_sell_trend')
def test_strategy_test_v2(result, fee):
strategy = StrategyTestV2({})
strategy = StrategyTestV3({})
metadata = {'pair': 'ETH/BTC'}
assert type(strategy.minimal_roi) is dict
@@ -37,7 +37,7 @@ def test_strategy_test_v2(result, fee):
assert strategy.confirm_trade_entry(pair='ETH/BTC', order_type='limit', amount=0.1,
rate=20000, time_in_force='gtc',
current_time=datetime.utcnow()) is True
current_time=datetime.utcnow(), side='long') is True
assert strategy.confirm_trade_exit(pair='ETH/BTC', trade=trade, order_type='limit', amount=0.1,
rate=20000, time_in_force='gtc', sell_reason='roi',
current_time=datetime.utcnow()) is True

101
tests/strategy/test_interface.py
View File

@@ -21,13 +21,13 @@ from freqtrade.strategy.hyper import (BaseParameter, BooleanParameter, Categoric
DecimalParameter, IntParameter, RealParameter)
from freqtrade.strategy.interface import SellCheckTuple
from freqtrade.strategy.strategy_wrapper import strategy_safe_wrapper
from tests.conftest import log_has, log_has_re
from tests.conftest import CURRENT_TEST_STRATEGY, TRADE_SIDES, log_has, log_has_re
from .strats.strategy_test_v2 import StrategyTestV2
from .strats.strategy_test_v3 import StrategyTestV3
# Avoid to reinit the same object again and again
_STRATEGY = StrategyTestV2(config={})
_STRATEGY = StrategyTestV3(config={})
_STRATEGY.dp = DataProvider({}, None, None)
@@ -59,7 +59,7 @@ def test_returns_latest_signal(ohlcv_history):
assert _STRATEGY.get_exit_signal('ETH/BTC', '5m', mocked_history, True) == (False, False)
mocked_history.loc[1, 'exit_long'] = 0
mocked_history.loc[1, 'enter_long'] = 1
mocked_history.loc[1, 'buy_tag'] = 'buy_signal_01'
mocked_history.loc[1, 'enter_tag'] = 'buy_signal_01'
assert _STRATEGY.get_entry_signal(
'ETH/BTC', '5m', mocked_history) == (SignalDirection.LONG, 'buy_signal_01')
@@ -70,8 +70,10 @@ def test_returns_latest_signal(ohlcv_history):
mocked_history.loc[1, 'enter_long'] = 0
mocked_history.loc[1, 'enter_short'] = 1
mocked_history.loc[1, 'exit_short'] = 0
mocked_history.loc[1, 'enter_tag'] = 'sell_signal_01'
assert _STRATEGY.get_entry_signal(
'ETH/BTC', '5m', mocked_history) == (SignalDirection.SHORT, None)
'ETH/BTC', '5m', mocked_history) == (SignalDirection.SHORT, 'sell_signal_01')
assert _STRATEGY.get_exit_signal('ETH/BTC', '5m', mocked_history) == (False, False)
assert _STRATEGY.get_exit_signal('ETH/BTC', '5m', mocked_history, True) == (True, False)
@@ -177,7 +179,6 @@ def test_get_signal_no_sell_column(default_conf, mocker, caplog, ohlcv_history):
def test_ignore_expired_candle(default_conf):
default_conf.update({'strategy': 'StrategyTestV2'})
strategy = StrategyResolver.load_strategy(default_conf)
strategy.ignore_buying_expired_candle_after = 60
@@ -224,8 +225,8 @@ def test_assert_df_raise(mocker, caplog, ohlcv_history):
def test_assert_df(ohlcv_history, caplog):
df_len = len(ohlcv_history) - 1
ohlcv_history.loc[:, 'buy'] = 0
ohlcv_history.loc[:, 'sell'] = 0
ohlcv_history.loc[:, 'enter_long'] = 0
ohlcv_history.loc[:, 'exit_long'] = 0
# Ensure it's running when passed correctly
_STRATEGY.assert_df(ohlcv_history, len(ohlcv_history),
ohlcv_history.loc[df_len, 'close'], ohlcv_history.loc[df_len, 'date'])
@@ -248,8 +249,8 @@ def test_assert_df(ohlcv_history, caplog):
_STRATEGY.assert_df(None, len(ohlcv_history),
ohlcv_history.loc[df_len, 'close'], ohlcv_history.loc[0, 'date'])
with pytest.raises(StrategyError,
match="Buy column not set"):
_STRATEGY.assert_df(ohlcv_history.drop('buy', axis=1), len(ohlcv_history),
match="enter_long/buy column not set."):
_STRATEGY.assert_df(ohlcv_history.drop('enter_long', axis=1), len(ohlcv_history),
ohlcv_history.loc[df_len, 'close'], ohlcv_history.loc[0, 'date'])
_STRATEGY.disable_dataframe_checks = True
@@ -262,7 +263,6 @@ def test_assert_df(ohlcv_history, caplog):
def test_advise_all_indicators(default_conf, testdatadir) -> None:
default_conf.update({'strategy': 'StrategyTestV2'})
strategy = StrategyResolver.load_strategy(default_conf)
timerange = TimeRange.parse_timerange('1510694220-1510700340')
@@ -273,7 +273,6 @@ def test_advise_all_indicators(default_conf, testdatadir) -> None:
def test_advise_all_indicators_copy(mocker, default_conf, testdatadir) -> None:
default_conf.update({'strategy': 'StrategyTestV2'})
strategy = StrategyResolver.load_strategy(default_conf)
aimock = mocker.patch('freqtrade.strategy.interface.IStrategy.advise_indicators')
timerange = TimeRange.parse_timerange('1510694220-1510700340')
@@ -291,7 +290,6 @@ def test_min_roi_reached(default_conf, fee) -> None:
min_roi_list = [{20: 0.05, 55: 0.01, 0: 0.1},
{0: 0.1, 20: 0.05, 55: 0.01}]
for roi in min_roi_list:
default_conf.update({'strategy': 'StrategyTestV2'})
strategy = StrategyResolver.load_strategy(default_conf)
strategy.minimal_roi = roi
trade = Trade(
@@ -330,7 +328,6 @@ def test_min_roi_reached2(default_conf, fee) -> None:
},
]
for roi in min_roi_list:
default_conf.update({'strategy': 'StrategyTestV2'})
strategy = StrategyResolver.load_strategy(default_conf)
strategy.minimal_roi = roi
trade = Trade(
@@ -365,7 +362,6 @@ def test_min_roi_reached3(default_conf, fee) -> None:
30: 0.05,
55: 0.30,
}
default_conf.update({'strategy': 'StrategyTestV2'})
strategy = StrategyResolver.load_strategy(default_conf)
strategy.minimal_roi = min_roi
trade = Trade(
@@ -418,8 +414,6 @@ def test_min_roi_reached3(default_conf, fee) -> None:
def test_stop_loss_reached(default_conf, fee, profit, adjusted, expected, trailing, custom,
profit2, adjusted2, expected2, custom_stop) -> None:
default_conf.update({'strategy': 'StrategyTestV2'})
strategy = StrategyResolver.load_strategy(default_conf)
trade = Trade(
pair='ETH/BTC',
@@ -466,8 +460,6 @@ def test_stop_loss_reached(default_conf, fee, profit, adjusted, expected, traili
def test_custom_sell(default_conf, fee, caplog) -> None:
default_conf.update({'strategy': 'StrategyTestV2'})
strategy = StrategyResolver.load_strategy(default_conf)
trade = Trade(
pair='ETH/BTC',
@@ -516,23 +508,49 @@ def test_custom_sell(default_conf, fee, caplog) -> None:
assert log_has_re('Custom sell reason returned from custom_sell is too long.*', caplog)
@pytest.mark.parametrize('side', TRADE_SIDES)
def test_leverage_callback(default_conf, side) -> None:
default_conf['strategy'] = 'StrategyTestV2'
strategy = StrategyResolver.load_strategy(default_conf)
assert strategy.leverage(
pair='XRP/USDT',
current_time=datetime.now(timezone.utc),
current_rate=2.2,
proposed_leverage=1.0,
max_leverage=5.0,
side=side,
) == 1
default_conf['strategy'] = CURRENT_TEST_STRATEGY
strategy = StrategyResolver.load_strategy(default_conf)
assert strategy.leverage(
pair='XRP/USDT',
current_time=datetime.now(timezone.utc),
current_rate=2.2,
proposed_leverage=1.0,
max_leverage=5.0,
side=side,
) == 3
def test_analyze_ticker_default(ohlcv_history, mocker, caplog) -> None:
caplog.set_level(logging.DEBUG)
ind_mock = MagicMock(side_effect=lambda x, meta: x)
buy_mock = MagicMock(side_effect=lambda x, meta: x)
sell_mock = MagicMock(side_effect=lambda x, meta: x)
entry_mock = MagicMock(side_effect=lambda x, meta: x)
exit_mock = MagicMock(side_effect=lambda x, meta: x)
mocker.patch.multiple(
'freqtrade.strategy.interface.IStrategy',
advise_indicators=ind_mock,
advise_buy=buy_mock,
advise_sell=sell_mock,
advise_entry=entry_mock,
advise_exit=exit_mock,
)
strategy = StrategyTestV2({})
strategy = StrategyTestV3({})
strategy.analyze_ticker(ohlcv_history, {'pair': 'ETH/BTC'})
assert ind_mock.call_count == 1
assert buy_mock.call_count == 1
assert buy_mock.call_count == 1
assert entry_mock.call_count == 1
assert entry_mock.call_count == 1
assert log_has('TA Analysis Launched', caplog)
assert not log_has('Skipping TA Analysis for already analyzed candle', caplog)
@@ -541,8 +559,8 @@ def test_analyze_ticker_default(ohlcv_history, mocker, caplog) -> None:
strategy.analyze_ticker(ohlcv_history, {'pair': 'ETH/BTC'})
# No analysis happens as process_only_new_candles is true
assert ind_mock.call_count == 2
assert buy_mock.call_count == 2
assert buy_mock.call_count == 2
assert entry_mock.call_count == 2
assert entry_mock.call_count == 2
assert log_has('TA Analysis Launched', caplog)
assert not log_has('Skipping TA Analysis for already analyzed candle', caplog)
@@ -550,16 +568,16 @@ def test_analyze_ticker_default(ohlcv_history, mocker, caplog) -> None:
def test__analyze_ticker_internal_skip_analyze(ohlcv_history, mocker, caplog) -> None:
caplog.set_level(logging.DEBUG)
ind_mock = MagicMock(side_effect=lambda x, meta: x)
buy_mock = MagicMock(side_effect=lambda x, meta: x)
sell_mock = MagicMock(side_effect=lambda x, meta: x)
entry_mock = MagicMock(side_effect=lambda x, meta: x)
exit_mock = MagicMock(side_effect=lambda x, meta: x)
mocker.patch.multiple(
'freqtrade.strategy.interface.IStrategy',
advise_indicators=ind_mock,
advise_buy=buy_mock,
advise_sell=sell_mock,
advise_entry=entry_mock,
advise_exit=exit_mock,
)
strategy = StrategyTestV2({})
strategy = StrategyTestV3({})
strategy.dp = DataProvider({}, None, None)
strategy.process_only_new_candles = True
@@ -569,8 +587,8 @@ def test__analyze_ticker_internal_skip_analyze(ohlcv_history, mocker, caplog) ->
assert 'close' in ret.columns
assert isinstance(ret, DataFrame)
assert ind_mock.call_count == 1
assert buy_mock.call_count == 1
assert buy_mock.call_count == 1
assert entry_mock.call_count == 1
assert entry_mock.call_count == 1
assert log_has('TA Analysis Launched', caplog)
assert not log_has('Skipping TA Analysis for already analyzed candle', caplog)
caplog.clear()
@@ -578,20 +596,19 @@ def test__analyze_ticker_internal_skip_analyze(ohlcv_history, mocker, caplog) ->
ret = strategy._analyze_ticker_internal(ohlcv_history, {'pair': 'ETH/BTC'})
# No analysis happens as process_only_new_candles is true
assert ind_mock.call_count == 1
assert buy_mock.call_count == 1
assert buy_mock.call_count == 1
assert entry_mock.call_count == 1
assert entry_mock.call_count == 1
# only skipped analyze adds buy and sell columns, otherwise it's all mocked
assert 'buy' in ret.columns
assert 'sell' in ret.columns
assert ret['buy'].sum() == 0
assert ret['sell'].sum() == 0
assert 'enter_long' in ret.columns
assert 'exit_long' in ret.columns
assert ret['enter_long'].sum() == 0
assert ret['exit_long'].sum() == 0
assert not log_has('TA Analysis Launched', caplog)
assert log_has('Skipping TA Analysis for already analyzed candle', caplog)
@pytest.mark.usefixtures("init_persistence")
def test_is_pair_locked(default_conf):
default_conf.update({'strategy': 'StrategyTestV2'})
PairLocks.timeframe = default_conf['timeframe']
PairLocks.use_db = True
strategy = StrategyResolver.load_strategy(default_conf)

76
tests/strategy/test_strategy_loading.py
View File

@@ -10,7 +10,7 @@ from pandas import DataFrame
from freqtrade.exceptions import OperationalException
from freqtrade.resolvers import StrategyResolver
from freqtrade.strategy.interface import IStrategy
from tests.conftest import log_has, log_has_re
from tests.conftest import CURRENT_TEST_STRATEGY, log_has, log_has_re
def test_search_strategy():
@@ -18,7 +18,7 @@ def test_search_strategy():
s, _ = StrategyResolver._search_object(
directory=default_location,
object_name='StrategyTestV2',
object_name=CURRENT_TEST_STRATEGY,
add_source=True,
)
assert issubclass(s, IStrategy)
@@ -35,7 +35,7 @@ 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) == 4
assert len(strategies) == 5
assert isinstance(strategies[0], dict)
@@ -43,10 +43,10 @@ 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) == 5
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]) == 4
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
@@ -74,10 +74,10 @@ def test_load_strategy_base64(result, caplog, default_conf):
def test_load_strategy_invalid_directory(result, caplog, default_conf):
default_conf['strategy'] = 'StrategyTestV2'
default_conf['strategy'] = 'StrategyTestV3'
extra_dir = Path.cwd() / 'some/path'
with pytest.raises(OperationalException):
StrategyResolver._load_strategy('StrategyTestV2', config=default_conf,
StrategyResolver._load_strategy(CURRENT_TEST_STRATEGY, config=default_conf,
extra_dir=extra_dir)
assert log_has_re(r'Path .*' + r'some.*path.*' + r'.* does not exist', caplog)
@@ -99,8 +99,10 @@ def test_load_strategy_noname(default_conf):
StrategyResolver.load_strategy(default_conf)
def test_strategy(result, default_conf):
default_conf.update({'strategy': 'StrategyTestV2'})
@pytest.mark.filterwarnings("ignore:deprecated")
@pytest.mark.parametrize('strategy_name', ['StrategyTestV2', 'TestStrategyLegacyV1'])
def test_strategy_pre_v3(result, default_conf, strategy_name):
default_conf.update({'strategy': strategy_name})
strategy = StrategyResolver.load_strategy(default_conf)
metadata = {'pair': 'ETH/BTC'}
@@ -117,11 +119,11 @@ def test_strategy(result, default_conf):
df_indicators = strategy.advise_indicators(result, metadata=metadata)
assert 'adx' in df_indicators
dataframe = strategy.advise_buy(df_indicators, metadata=metadata)
dataframe = strategy.advise_entry(df_indicators, metadata=metadata)
assert 'buy' not in dataframe.columns
assert 'enter_long' in dataframe.columns
dataframe = strategy.advise_sell(df_indicators, metadata=metadata)
dataframe = strategy.advise_exit(df_indicators, metadata=metadata)
assert 'sell' not in dataframe.columns
assert 'exit_long' in dataframe.columns
@@ -129,7 +131,7 @@ def test_strategy(result, default_conf):
def test_strategy_override_minimal_roi(caplog, default_conf):
caplog.set_level(logging.INFO)
default_conf.update({
'strategy': 'StrategyTestV2',
'strategy': CURRENT_TEST_STRATEGY,
'minimal_roi': {
"20": 0.1,
"0": 0.5
@@ -146,7 +148,7 @@ def test_strategy_override_minimal_roi(caplog, default_conf):
def test_strategy_override_stoploss(caplog, default_conf):
caplog.set_level(logging.INFO)
default_conf.update({
'strategy': 'StrategyTestV2',
'strategy': CURRENT_TEST_STRATEGY,
'stoploss': -0.5
})
strategy = StrategyResolver.load_strategy(default_conf)
@@ -158,7 +160,7 @@ def test_strategy_override_stoploss(caplog, default_conf):
def test_strategy_override_trailing_stop(caplog, default_conf):
caplog.set_level(logging.INFO)
default_conf.update({
'strategy': 'StrategyTestV2',
'strategy': CURRENT_TEST_STRATEGY,
'trailing_stop': True
})
strategy = StrategyResolver.load_strategy(default_conf)
@@ -171,7 +173,7 @@ def test_strategy_override_trailing_stop(caplog, default_conf):
def test_strategy_override_trailing_stop_positive(caplog, default_conf):
caplog.set_level(logging.INFO)
default_conf.update({
'strategy': 'StrategyTestV2',
'strategy': CURRENT_TEST_STRATEGY,
'trailing_stop_positive': -0.1,
'trailing_stop_positive_offset': -0.2
@@ -191,7 +193,7 @@ def test_strategy_override_timeframe(caplog, default_conf):
caplog.set_level(logging.INFO)
default_conf.update({
'strategy': 'StrategyTestV2',
'strategy': CURRENT_TEST_STRATEGY,
'timeframe': 60,
'stake_currency': 'ETH'
})
@@ -207,7 +209,7 @@ def test_strategy_override_process_only_new_candles(caplog, default_conf):
caplog.set_level(logging.INFO)
default_conf.update({
'strategy': 'StrategyTestV2',
'strategy': CURRENT_TEST_STRATEGY,
'process_only_new_candles': True
})
strategy = StrategyResolver.load_strategy(default_conf)
@@ -227,7 +229,7 @@ def test_strategy_override_order_types(caplog, default_conf):
'stoploss_on_exchange': True,
}
default_conf.update({
'strategy': 'StrategyTestV2',
'strategy': CURRENT_TEST_STRATEGY,
'order_types': order_types
})
strategy = StrategyResolver.load_strategy(default_conf)
@@ -241,12 +243,12 @@ def test_strategy_override_order_types(caplog, default_conf):
" 'stoploss_on_exchange': True}.", caplog)
default_conf.update({
'strategy': 'StrategyTestV2',
'strategy': CURRENT_TEST_STRATEGY,
'order_types': {'buy': 'market'}
})
# Raise error for invalid configuration
with pytest.raises(ImportError,
match=r"Impossible to load Strategy 'StrategyTestV2'. "
match=r"Impossible to load Strategy '" + CURRENT_TEST_STRATEGY + "'. "
r"Order-types mapping is incomplete."):
StrategyResolver.load_strategy(default_conf)
@@ -260,7 +262,7 @@ def test_strategy_override_order_tif(caplog, default_conf):
}
default_conf.update({
'strategy': 'StrategyTestV2',
'strategy': CURRENT_TEST_STRATEGY,
'order_time_in_force': order_time_in_force
})
strategy = StrategyResolver.load_strategy(default_conf)
@@ -273,20 +275,20 @@ def test_strategy_override_order_tif(caplog, default_conf):
" {'buy': 'fok', 'sell': 'gtc'}.", caplog)
default_conf.update({
'strategy': 'StrategyTestV2',
'strategy': CURRENT_TEST_STRATEGY,
'order_time_in_force': {'buy': 'fok'}
})
# Raise error for invalid configuration
with pytest.raises(ImportError,
match=r"Impossible to load Strategy 'StrategyTestV2'. "
r"Order-time-in-force mapping is incomplete."):
match=f"Impossible to load Strategy '{CURRENT_TEST_STRATEGY}'. "
"Order-time-in-force mapping is incomplete."):
StrategyResolver.load_strategy(default_conf)
def test_strategy_override_use_sell_signal(caplog, default_conf):
caplog.set_level(logging.INFO)
default_conf.update({
'strategy': 'StrategyTestV2',
'strategy': CURRENT_TEST_STRATEGY,
})
strategy = StrategyResolver.load_strategy(default_conf)
assert strategy.use_sell_signal
@@ -296,7 +298,7 @@ def test_strategy_override_use_sell_signal(caplog, default_conf):
assert default_conf['use_sell_signal']
default_conf.update({
'strategy': 'StrategyTestV2',
'strategy': CURRENT_TEST_STRATEGY,
'use_sell_signal': False,
})
strategy = StrategyResolver.load_strategy(default_conf)
@@ -309,7 +311,7 @@ def test_strategy_override_use_sell_signal(caplog, default_conf):
def test_strategy_override_use_sell_profit_only(caplog, default_conf):
caplog.set_level(logging.INFO)
default_conf.update({
'strategy': 'StrategyTestV2',
'strategy': CURRENT_TEST_STRATEGY,
})
strategy = StrategyResolver.load_strategy(default_conf)
assert not strategy.sell_profit_only
@@ -319,7 +321,7 @@ def test_strategy_override_use_sell_profit_only(caplog, default_conf):
assert not default_conf['sell_profit_only']
default_conf.update({
'strategy': 'StrategyTestV2',
'strategy': CURRENT_TEST_STRATEGY,
'sell_profit_only': True,
})
strategy = StrategyResolver.load_strategy(default_conf)
@@ -347,7 +349,7 @@ def test_deprecate_populate_indicators(result, default_conf):
with warnings.catch_warnings(record=True) as w:
# Cause all warnings to always be triggered.
warnings.simplefilter("always")
strategy.advise_buy(indicators, {'pair': 'ETH/BTC'})
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!" \
@@ -356,7 +358,7 @@ def test_deprecate_populate_indicators(result, default_conf):
with warnings.catch_warnings(record=True) as w:
# Cause all warnings to always be triggered.
warnings.simplefilter("always")
strategy.advise_sell(indicators, {'pair': 'ETH_BTC'})
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!" \
@@ -364,7 +366,7 @@ def test_deprecate_populate_indicators(result, default_conf):
@pytest.mark.filterwarnings("ignore:deprecated")
def test_call_deprecated_function(result, monkeypatch, default_conf, caplog):
def test_call_deprecated_function(result, default_conf, caplog):
default_location = Path(__file__).parent / "strats"
del default_conf['timeframe']
default_conf.update({'strategy': 'TestStrategyLegacyV1',
@@ -384,13 +386,13 @@ def test_call_deprecated_function(result, monkeypatch, default_conf, caplog):
assert isinstance(indicator_df, DataFrame)
assert 'adx' in indicator_df.columns
enterdf = strategy.advise_buy(result, metadata=metadata)
enterdf = strategy.advise_entry(result, metadata=metadata)
assert isinstance(enterdf, DataFrame)
assert 'buy' in enterdf.columns
assert 'enter_long' in enterdf.columns
exitdf = strategy.advise_sell(result, metadata=metadata)
exitdf = strategy.advise_exit(result, metadata=metadata)
assert isinstance(exitdf, DataFrame)
assert 'sell' in exitdf
assert 'exit_long' in exitdf
assert log_has("DEPRECATED: Please migrate to using 'timeframe' instead of 'ticker_interval'.",
caplog)
@@ -411,13 +413,13 @@ def test_strategy_interface_versioning(result, default_conf):
assert isinstance(indicator_df, DataFrame)
assert 'adx' in indicator_df.columns
enterdf = strategy.advise_buy(result, metadata=metadata)
enterdf = strategy.advise_entry(result, metadata=metadata)
assert isinstance(enterdf, DataFrame)
assert 'buy' not in enterdf.columns
assert 'enter_long' in enterdf.columns
exitdf = strategy.advise_sell(result, metadata=metadata)
exitdf = strategy.advise_exit(result, metadata=metadata)
assert isinstance(exitdf, DataFrame)
assert 'sell' not in exitdf
assert 'exit_long' in exitdf