def test_extract_features() -> None:
"""
Test case to export *multiple* testing/training data sets for reinforcement learning
"""
start_time = dt.now(tz=TIMEZONE)
sim = Simulator()
for ccy in ['ETH-USD']:
# for ccy, ccy2 in [('LTC-USD', 'tLTCUSD')]:
query = {
'ccy': [ccy], # ccy2], # parameter must be a list
'start_date': 20191208, # parameter format for dates
'end_date': 20191209, # parameter format for dates
}
sim.extract_features(query)
elapsed = (dt.now(tz=TIMEZONE) - start_time).seconds
print('Completed %s in %i seconds' % (__name__, elapsed))
print('DONE. EXITING %s' % __name__)
def test_extract_features():
"""
Test case to export multiple testing/training data sets for reinforcement learning
:return:
"""
start_time = dt.now(TIMEZONE)
sim = Simulator(use_arctic=True)
# for ccy in ['BTC-USD', 'ETH-USD', 'LTC-USD']: #, 'BCH-USD']:
for ccy, ccy2 in [('LTC-USD', 'tLTCUSD')]:
query = {
'ccy': [ccy, ccy2],
'start_date': 20190314,
'end_date': 20190317
}
sim.extract_features(query)
elapsed = (dt.now(TIMEZONE) - start_time).seconds
print('Completed %s in %i seconds' % (__name__, elapsed))
print('DONE. EXITING %s' % __name__)