stable/freqtrade/tests/test_analyze.py

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# pragma pylint: disable=missing-docstring
import pytest
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import arrow
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from pandas import DataFrame
from freqtrade.analyze import parse_ticker_dataframe, populate_buy_trend, populate_indicators, \
get_buy_signal
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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'))
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def test_dataframe_has_correct_columns(result):
assert result.columns.tolist() == \
['close', 'high', 'low', 'open', 'date', 'volume']
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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']
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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')