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Added candle_type to a lot of methods, wrote some tests

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This commit is contained in:
Sam Germain
2021-11-21 01:43:05 -06:00
parent e2f98a8dab
commit 920151934a
27 changed files with 495 additions and 253 deletions
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4
tests/strategy/strats/informative_decorator_strategy.py
View File

@@ -19,7 +19,7 @@ class InformativeDecoratorTest(IStrategy):
startup_candle_count: int = 20
def informative_pairs(self):
return [('BTC/USDT', '5m')]
return [('BTC/USDT', '5m', '')]
def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
dataframe['buy'] = 0
@@ -67,7 +67,7 @@ class InformativeDecoratorTest(IStrategy):
dataframe['rsi_less'] = dataframe['rsi'] < dataframe['rsi_1h']
# Mixing manual informative pairs with decorators.
informative = self.dp.get_pair_dataframe('BTC/USDT', '5m')
informative = self.dp.get_pair_dataframe('BTC/USDT', '5m', '')
informative['rsi'] = 14
dataframe = merge_informative_pair(dataframe, informative, self.timeframe, '5m', ffill=True)

37
tests/strategy/test_strategy_helpers.py
View File

@@ -144,23 +144,24 @@ def test_stoploss_from_absolute():
assert stoploss_from_absolute(0, 100) == 1
# TODO-lev: @pytest.mark.parametrize('candle_type', ['mark', ''])
def test_informative_decorator(mocker, default_conf):
test_data_5m = generate_test_data('5m', 40)
test_data_30m = generate_test_data('30m', 40)
test_data_1h = generate_test_data('1h', 40)
data = {
('XRP/USDT', '5m'): test_data_5m,
('XRP/USDT', '30m'): test_data_30m,
('XRP/USDT', '1h'): test_data_1h,
('LTC/USDT', '5m'): test_data_5m,
('LTC/USDT', '30m'): test_data_30m,
('LTC/USDT', '1h'): test_data_1h,
('BTC/USDT', '30m'): test_data_30m,
('BTC/USDT', '5m'): test_data_5m,
('BTC/USDT', '1h'): test_data_1h,
('ETH/USDT', '1h'): test_data_1h,
('ETH/USDT', '30m'): test_data_30m,
('ETH/BTC', '1h'): test_data_1h,
('XRP/USDT', '5m', ''): test_data_5m,
('XRP/USDT', '30m', ''): test_data_30m,
('XRP/USDT', '1h', ''): test_data_1h,
('LTC/USDT', '5m', ''): test_data_5m,
('LTC/USDT', '30m', ''): test_data_30m,
('LTC/USDT', '1h', ''): test_data_1h,
('BTC/USDT', '30m', ''): test_data_30m,
('BTC/USDT', '5m', ''): test_data_5m,
('BTC/USDT', '1h', ''): test_data_1h,
('ETH/USDT', '1h', ''): test_data_1h,
('ETH/USDT', '30m', ''): test_data_30m,
('ETH/BTC', '1h', ''): test_data_1h,
}
from .strats.informative_decorator_strategy import InformativeDecoratorTest
default_conf['stake_currency'] = 'USDT'
@@ -171,19 +172,19 @@ def test_informative_decorator(mocker, default_conf):
])
assert len(strategy._ft_informative) == 6 # Equal to number of decorators used
informative_pairs = [('XRP/USDT', '1h'), ('LTC/USDT', '1h'), ('XRP/USDT', '30m'),
('LTC/USDT', '30m'), ('BTC/USDT', '1h'), ('BTC/USDT', '30m'),
('BTC/USDT', '5m'), ('ETH/BTC', '1h'), ('ETH/USDT', '30m')]
informative_pairs = [('XRP/USDT', '1h', ''), ('LTC/USDT', '1h', ''), ('XRP/USDT', '30m', ''),
('LTC/USDT', '30m', ''), ('BTC/USDT', '1h', ''), ('BTC/USDT', '30m', ''),
('BTC/USDT', '5m', ''), ('ETH/BTC', '1h', ''), ('ETH/USDT', '30m', '')]
for inf_pair in informative_pairs:
assert inf_pair in strategy.gather_informative_pairs()
def test_historic_ohlcv(pair, timeframe):
return data[(pair, timeframe or strategy.timeframe)].copy()
def test_historic_ohlcv(pair, timeframe, candle_type):
return data[(pair, timeframe or strategy.timeframe, candle_type)].copy()
mocker.patch('freqtrade.data.dataprovider.DataProvider.historic_ohlcv',
side_effect=test_historic_ohlcv)
analyzed = strategy.advise_all_indicators(
{p: data[(p, strategy.timeframe)] for p in ('XRP/USDT', 'LTC/USDT')})
{p: data[(p, strategy.timeframe, '')] for p in ('XRP/USDT', 'LTC/USDT')})
expected_columns = [
'rsi_1h', 'rsi_30m', # Stacked informative decorators
'btc_usdt_rsi_1h', # BTC 1h informative