48 lines
1.9 KiB
Python
48 lines
1.9 KiB
Python
# pragma pylint: disable=missing-docstring
|
|
import pytest
|
|
import arrow
|
|
from pandas import DataFrame
|
|
|
|
from freqtrade.analyze import parse_ticker_dataframe, populate_buy_trend, populate_indicators, \
|
|
get_buy_signal
|
|
|
|
RESULT_BITTREX = {
|
|
'success': True,
|
|
'message': '',
|
|
'result': [
|
|
{'O': 0.00065311, 'H': 0.00065311, 'L': 0.00065311, 'C': 0.00065311, 'V': 22.17210568, 'T': '2017-08-30T10:40:00', 'BV': 0.01448082},
|
|
{'O': 0.00066194, 'H': 0.00066195, 'L': 0.00066194, 'C': 0.00066195, 'V': 33.4727437, 'T': '2017-08-30T10:34:00', 'BV': 0.02215696},
|
|
{'O': 0.00065311, 'H': 0.00065311, 'L': 0.00065311, 'C': 0.00065311, 'V': 53.85127609, 'T': '2017-08-30T10:37:00', 'BV': 0.0351708},
|
|
{'O': 0.00066194, 'H': 0.00066194, 'L': 0.00065311, 'C': 0.00065311, 'V': 46.29210665, 'T': '2017-08-30T10:42:00', 'BV': 0.03063118},
|
|
]
|
|
}
|
|
|
|
@pytest.fixture
|
|
def result():
|
|
return parse_ticker_dataframe(RESULT_BITTREX['result'], arrow.get('2017-08-30T10:00:00'))
|
|
|
|
def test_dataframe_has_correct_columns(result):
|
|
assert result.columns.tolist() == \
|
|
['close', 'high', 'low', 'open', 'date', 'volume']
|
|
|
|
def test_orders_by_date(result):
|
|
assert result['date'].tolist() == \
|
|
['2017-08-30T10:34:00',
|
|
'2017-08-30T10:37:00',
|
|
'2017-08-30T10:40:00',
|
|
'2017-08-30T10:42:00']
|
|
|
|
def test_populates_buy_trend(result):
|
|
dataframe = populate_buy_trend(populate_indicators(result))
|
|
assert 'buy' in dataframe.columns
|
|
assert 'buy_price' in dataframe.columns
|
|
|
|
def test_returns_latest_buy_signal(mocker):
|
|
buydf = DataFrame([{'buy': 1, 'date': arrow.utcnow()}])
|
|
mocker.patch('freqtrade.analyze.analyze_ticker', return_value=buydf)
|
|
assert get_buy_signal('BTC-ETH')
|
|
|
|
buydf = DataFrame([{'buy': 0, 'date': arrow.utcnow()}])
|
|
mocker.patch('freqtrade.analyze.analyze_ticker', return_value=buydf)
|
|
assert not get_buy_signal('BTC-ETH')
|