37 lines
1.3 KiB
Python
37 lines
1.3 KiB
Python
import json
|
|
|
|
import pytest
|
|
from pandas import DataFrame
|
|
|
|
from freqtrade.data.converter import parse_ticker_dataframe
|
|
from freqtrade.strategy.default_strategy import DefaultStrategy
|
|
|
|
|
|
@pytest.fixture
|
|
def result():
|
|
with open('freqtrade/tests/testdata/ETH_BTC-1m.json') as data_file:
|
|
return parse_ticker_dataframe(json.load(data_file), '1m', pair="UNITTEST/BTC",
|
|
fill_missing=True)
|
|
|
|
|
|
def test_default_strategy_structure():
|
|
assert hasattr(DefaultStrategy, 'minimal_roi')
|
|
assert hasattr(DefaultStrategy, 'stoploss')
|
|
assert hasattr(DefaultStrategy, 'ticker_interval')
|
|
assert hasattr(DefaultStrategy, 'populate_indicators')
|
|
assert hasattr(DefaultStrategy, 'populate_buy_trend')
|
|
assert hasattr(DefaultStrategy, 'populate_sell_trend')
|
|
|
|
|
|
def test_default_strategy(result):
|
|
strategy = DefaultStrategy({})
|
|
|
|
metadata = {'pair': 'ETH/BTC'}
|
|
assert type(strategy.minimal_roi) is dict
|
|
assert type(strategy.stoploss) is float
|
|
assert type(strategy.ticker_interval) 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
|