mirror of
https://github.com/freqtrade/freqtrade.git
synced 2024-11-14 20:23:57 +00:00
56 lines
2.1 KiB
Python
56 lines
2.1 KiB
Python
from datetime import datetime
|
|
|
|
import pytest
|
|
from pandas import DataFrame
|
|
|
|
from freqtrade.persistence.models import Trade
|
|
|
|
from .strats.strategy_test_v3 import StrategyTestV3
|
|
|
|
|
|
def test_strategy_test_v3_structure():
|
|
assert hasattr(StrategyTestV3, 'minimal_roi')
|
|
assert hasattr(StrategyTestV3, 'stoploss')
|
|
assert hasattr(StrategyTestV3, 'timeframe')
|
|
assert hasattr(StrategyTestV3, 'populate_indicators')
|
|
assert hasattr(StrategyTestV3, 'populate_entry_trend')
|
|
assert hasattr(StrategyTestV3, 'populate_exit_trend')
|
|
|
|
|
|
@pytest.mark.parametrize('is_short,side', [
|
|
(True, 'short'),
|
|
(False, 'long'),
|
|
])
|
|
def test_strategy_test_v3(result, fee, is_short, side):
|
|
strategy = StrategyTestV3({})
|
|
|
|
metadata = {'pair': 'ETH/BTC'}
|
|
assert type(strategy.minimal_roi) is dict
|
|
assert type(strategy.stoploss) is float
|
|
assert type(strategy.timeframe) is str
|
|
indicators = strategy.populate_indicators(result, metadata)
|
|
assert type(indicators) is DataFrame
|
|
assert type(strategy.populate_buy_trend(indicators, metadata)) is DataFrame
|
|
assert type(strategy.populate_sell_trend(indicators, metadata)) is DataFrame
|
|
|
|
trade = Trade(
|
|
open_rate=19_000,
|
|
amount=0.1,
|
|
pair='ETH/BTC',
|
|
fee_open=fee.return_value,
|
|
is_short=is_short
|
|
)
|
|
|
|
assert strategy.confirm_trade_entry(pair='ETH/BTC', order_type='limit', amount=0.1,
|
|
rate=20000, time_in_force='gtc',
|
|
current_time=datetime.utcnow(),
|
|
side=side, entry_tag=None) is True
|
|
assert strategy.confirm_trade_exit(pair='ETH/BTC', trade=trade, order_type='limit', amount=0.1,
|
|
rate=20000, time_in_force='gtc', exit_reason='roi',
|
|
sell_reason='roi',
|
|
current_time=datetime.utcnow(),
|
|
side=side) is True
|
|
|
|
assert strategy.custom_stoploss(pair='ETH/BTC', trade=trade, current_time=datetime.now(),
|
|
current_rate=20_000, current_profit=0.05) == strategy.stoploss
|