def test_performance_handle(default_conf, ticker, limit_buy_order, fee,
limit_sell_order, markets, mocker) -> None:
patch_coinmarketcap(mocker)
patch_exchange(mocker)
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
mocker.patch.multiple('freqtrade.exchange.Exchange',
get_balances=MagicMock(return_value=ticker),
get_ticker=ticker,
get_fee=fee,
get_markets=markets)
freqtradebot = FreqtradeBot(default_conf)
patch_get_signal(freqtradebot, (True, False))
rpc = RPC(freqtradebot)
# Create some test data
freqtradebot.create_trade()
trade = Trade.query.first()
assert trade
# Simulate fulfilled LIMIT_BUY order for trade
trade.update(limit_buy_order)
# Simulate fulfilled LIMIT_SELL order for trade
trade.update(limit_sell_order)
trade.close_date = datetime.utcnow()
trade.is_open = False
res = rpc._rpc_performance()
assert len(res) == 1
assert res[0]['pair'] == 'ETH/BTC'
assert res[0]['count'] == 1
assert prec_satoshi(res[0]['profit'], 6.2)
def test_start_calls_optimizer(mocker, default_conf, caplog) -> None:
dumper = mocker.patch('freqtrade.optimize.hyperopt.dump', MagicMock())
mocker.patch('freqtrade.optimize.hyperopt.load_data', MagicMock())
mocker.patch(
'freqtrade.optimize.hyperopt.get_timeframe',
MagicMock(return_value=(datetime(2017, 12, 10), datetime(2017, 12, 13)))
)
parallel = mocker.patch(
'freqtrade.optimize.hyperopt.Hyperopt.run_optimizer_parallel',
MagicMock(return_value=[{'loss': 1, 'result': 'foo result', 'params': {}}])
)
patch_exchange(mocker)
default_conf.update({'config': 'config.json.example',
'epochs': 1,
'timerange': None,
'spaces': 'all',
'hyperopt_jobs': 1, })
hyperopt = Hyperopt(default_conf)
hyperopt.strategy.tickerdata_to_dataframe = MagicMock()
hyperopt.start()
parallel.assert_called_once()
assert log_has('Best result:\nfoo result\nwith values:\n', caplog.record_tuples)
assert dumper.called
# Should be called twice, once for tickerdata, once to save evaluations
assert dumper.call_count == 2
assert hasattr(hyperopt, "advise_sell")
assert hasattr(hyperopt, "advise_buy")
assert hasattr(hyperopt, "max_open_trades")
assert hyperopt.max_open_trades == default_conf['max_open_trades']
assert hasattr(hyperopt, "position_stacking")
def test_generate_optimizer(mocker, default_conf) -> None:
default_conf.update({'config': 'config.json.example'})
default_conf.update({'timerange': None})
default_conf.update({'spaces': 'all'})
default_conf.update({'hyperopt_min_trades': 1})
trades = [
('POWR/BTC', 0.023117, 0.000233, 100)
]
labels = ['currency', 'profit_percent', 'profit_abs', 'trade_duration']
backtest_result = pd.DataFrame.from_records(trades, columns=labels)
mocker.patch(
'freqtrade.optimize.hyperopt.Hyperopt.backtest',
MagicMock(return_value=backtest_result)
)
mocker.patch(
'freqtrade.optimize.hyperopt.get_timeframe',
MagicMock(return_value=(Arrow(2017, 12, 10), Arrow(2017, 12, 13)))
)
patch_exchange(mocker)
mocker.patch('freqtrade.optimize.hyperopt.load', MagicMock())
optimizer_param = {
'adx-value': 0,
'fastd-value': 35,
'mfi-value': 0,
'rsi-value': 0,
'adx-enabled': False,
'fastd-enabled': True,
'mfi-enabled': False,
'rsi-enabled': False,
'trigger': 'macd_cross_signal',
'sell-adx-value': 0,
'sell-fastd-value': 75,
'sell-mfi-value': 0,
'sell-rsi-value': 0,
'sell-adx-enabled': False,
'sell-fastd-enabled': True,
'sell-mfi-enabled': False,
'sell-rsi-enabled': False,
'sell-trigger': 'macd_cross_signal',
'roi_t1': 60.0,
'roi_t2': 30.0,
'roi_t3': 20.0,
'roi_p1': 0.01,
'roi_p2': 0.01,
'roi_p3': 0.1,
'stoploss': -0.4,
}
response_expected = {
'loss': 1.9840569076926293,
'result': ' 1 trades. Avg profit 2.31%. Total profit 0.00023300 BTC '
'( 2.31Σ%). Avg duration 100.0 mins.',
'params': optimizer_param
}
hyperopt = Hyperopt(default_conf)
generate_optimizer_value = hyperopt.generate_optimizer(list(optimizer_param.values()))
assert generate_optimizer_value == response_expected
def test_main_reload_conf(mocker, default_conf, caplog) -> None:
patch_exchange(mocker)
mocker.patch('freqtrade.freqtradebot.FreqtradeBot.cleanup', MagicMock())
# Simulate Running, reload, running workflow
worker_mock = MagicMock(side_effect=[
State.RUNNING, State.RELOAD_CONF, State.RUNNING,
OperationalException("Oh snap!")
])
mocker.patch('freqtrade.worker.Worker._worker', worker_mock)
mocker.patch('freqtrade.configuration.Configuration._load_config_file',
lambda *args, **kwargs: default_conf)
reconfigure_mock = mocker.patch('freqtrade.main.Worker._reconfigure',
MagicMock())
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
mocker.patch('freqtrade.freqtradebot.persistence.init', MagicMock())
args = Arguments(['-c', 'config.json.example'], '').get_parsed_arg()
worker = Worker(args=args, config=default_conf)
with pytest.raises(SystemExit):
main(['-c', 'config.json.example'])
assert log_has('Using config: config.json.example ...',
caplog.record_tuples)
assert worker_mock.call_count == 4
assert reconfigure_mock.call_count == 1
assert isinstance(worker.freqtrade, FreqtradeBot)
def test_reconfigure(mocker, default_conf) -> None:
patch_exchange(mocker)
mocker.patch('freqtrade.freqtradebot.FreqtradeBot.cleanup', MagicMock())
mocker.patch('freqtrade.worker.Worker._worker',
MagicMock(side_effect=OperationalException('Oh snap!')))
mocker.patch('freqtrade.configuration.Configuration._load_config_file',
lambda *args, **kwargs: default_conf)
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
mocker.patch('freqtrade.freqtradebot.persistence.init', MagicMock())
args = Arguments(['-c', 'config.json.example'], '').get_parsed_arg()
worker = Worker(args=args, config=default_conf)
freqtrade = worker.freqtrade
# Renew mock to return modified data
conf = deepcopy(default_conf)
conf['stake_amount'] += 1
mocker.patch('freqtrade.configuration.Configuration._load_config_file',
lambda *args, **kwargs: conf)
worker._config = conf
# reconfigure should return a new instance
worker._reconfigure()
freqtrade2 = worker.freqtrade
# Verify we have a new instance with the new config
assert freqtrade is not freqtrade2
assert freqtrade.config['stake_amount'] + 1 == freqtrade2.config[
'stake_amount']
def test_rpc_edge_disabled(mocker, default_conf) -> None:
patch_exchange(mocker)
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
freqtradebot = FreqtradeBot(default_conf)
rpc = RPC(freqtradebot)
with pytest.raises(RPCException, match=r'Edge is not enabled.'):
rpc._rpc_edge()
def test_daily_wrong_input(default_conf, update, ticker, mocker) -> None:
patch_exchange(mocker)
mocker.patch.multiple('freqtrade.exchange.Exchange', get_ticker=ticker)
msg_mock = MagicMock()
mocker.patch.multiple('freqtrade.rpc.telegram.Telegram',
_init=MagicMock(),
_send_msg=msg_mock)
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
freqtradebot = FreqtradeBot(default_conf)
patch_get_signal(freqtradebot, (True, False))
telegram = Telegram(freqtradebot)
# Try invalid data
msg_mock.reset_mock()
freqtradebot.state = State.RUNNING
update.message.text = '/daily -2'
telegram._daily(bot=MagicMock(), update=update)
assert msg_mock.call_count == 1
assert 'must be an integer greater than 0' in msg_mock.call_args_list[0][
0][0]
# Try invalid data
msg_mock.reset_mock()
freqtradebot.state = State.RUNNING
update.message.text = '/daily today'
telegram._daily(bot=MagicMock(), update=update)
assert str('Daily Profit over the last 7 days'
) in msg_mock.call_args_list[0][0][0]
def test_backtesting_start_no_data(default_conf, mocker, caplog) -> None:
def get_timeframe(input1, input2):
return Arrow(2017, 11, 14, 21, 17), Arrow(2017, 11, 14, 22, 59)
mocker.patch('freqtrade.optimize.load_data', MagicMock(return_value={}))
mocker.patch('freqtrade.exchange.Exchange.refresh_tickers', MagicMock())
patch_exchange(mocker)
mocker.patch.multiple(
'freqtrade.optimize.backtesting.Backtesting',
backtest=MagicMock(),
_generate_text_table=MagicMock(return_value='1'),
get_timeframe=get_timeframe,
)
default_conf['exchange']['pair_whitelist'] = ['UNITTEST/BTC']
default_conf['ticker_interval'] = "1m"
default_conf['live'] = False
default_conf['datadir'] = None
default_conf['export'] = None
default_conf['timerange'] = '20180101-20180102'
backtesting = Backtesting(default_conf)
backtesting.start()
# check the logs, that will contain the backtest result
assert log_has('No data found. Terminating.', caplog.record_tuples)
def test_backtest_multi_pair(default_conf, fee, mocker, tres, pair):
def _trend_alternate_hold(dataframe=None, metadata=None):
"""
Buy every xth candle - sell every other xth -2 (hold on to pairs a bit)
"""
if metadata['pair'] in ('ETH/BTC', 'LTC/BTC'):
multi = 20
else:
multi = 18
dataframe['buy'] = np.where(dataframe.index % multi == 0, 1, 0)
dataframe['sell'] = np.where(
(dataframe.index + multi - 2) % multi == 0, 1, 0)
return dataframe
mocker.patch('freqtrade.exchange.Exchange.get_fee', fee)
patch_exchange(mocker)
pairs = ['ADA/BTC', 'DASH/BTC', 'ETH/BTC', 'LTC/BTC', 'NXT/BTC']
data = history.load_data(datadir=None, ticker_interval='5m', pairs=pairs)
# Only use 500 lines to increase performance
data = trim_dictlist(data, -500)
# Remove data for one pair from the beginning of the data
data[pair] = data[pair][tres:]
# We need to enable sell-signal - otherwise it sells on ROI!!
default_conf['experimental'] = {"use_sell_signal": True}
default_conf['ticker_interval'] = '5m'
backtesting = Backtesting(default_conf)
backtesting.advise_buy = _trend_alternate_hold # Override
backtesting.advise_sell = _trend_alternate_hold # Override
data_processed = backtesting.strategy.tickerdata_to_dataframe(data)
min_date, max_date = get_timeframe(data_processed)
backtest_conf = {
'stake_amount': default_conf['stake_amount'],
'processed': data_processed,
'max_open_trades': 3,
'position_stacking': False,
'start_date': min_date,
'end_date': max_date,
}
results = backtesting.backtest(backtest_conf)
# Make sure we have parallel trades
assert len(evaluate_result_multi(results, '5min', 2)) > 0
# make sure we don't have trades with more than configured max_open_trades
assert len(evaluate_result_multi(results, '5min', 3)) == 0
backtest_conf = {
'stake_amount': default_conf['stake_amount'],
'processed': data_processed,
'max_open_trades': 1,
'position_stacking': False,
'start_date': min_date,
'end_date': max_date,
}
results = backtesting.backtest(backtest_conf)
assert len(evaluate_result_multi(results, '5min', 1)) == 0
def test_performance_handle(default_conf, update, ticker, fee, limit_buy_order,
limit_sell_order, markets, mocker) -> None:
patch_exchange(mocker)
msg_mock = MagicMock()
mocker.patch.multiple('freqtrade.rpc.telegram.Telegram',
_init=MagicMock(),
_send_msg=msg_mock)
mocker.patch.multiple('freqtrade.exchange.Exchange',
get_ticker=ticker,
get_fee=fee,
markets=PropertyMock(markets),
validate_pairs=MagicMock(return_value={}))
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
freqtradebot = FreqtradeBot(default_conf)
patch_get_signal(freqtradebot, (True, False))
telegram = Telegram(freqtradebot)
# Create some test data
freqtradebot.create_trade()
trade = Trade.query.first()
assert trade
# Simulate fulfilled LIMIT_BUY order for trade
trade.update(limit_buy_order)
# Simulate fulfilled LIMIT_SELL order for trade
trade.update(limit_sell_order)
trade.close_date = datetime.utcnow()
trade.is_open = False
telegram._performance(bot=MagicMock(), update=update)
assert msg_mock.call_count == 1
assert 'Performance' in msg_mock.call_args_list[0][0][0]
assert '<code>ETH/BTC\t6.20% (1)</code>' in msg_mock.call_args_list[0][0][
0]
def test_main_keyboard_interrupt(mocker, default_conf, caplog) -> None:
"""
Test main() function
In this test we are skipping the while True loop by throwing an exception.
"""
patch_exchange(mocker)
mocker.patch.multiple(
'freqtrade.freqtradebot.FreqtradeBot',
_init_modules=MagicMock(),
worker=MagicMock(side_effect=KeyboardInterrupt),
cleanup=MagicMock(),
)
mocker.patch('freqtrade.configuration.Configuration._load_config_file',
lambda *args, **kwargs: default_conf)
mocker.patch('freqtrade.freqtradebot.CryptoToFiatConverter', MagicMock())
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
args = ['-c', 'config.json.example']
# Test Main + the KeyboardInterrupt exception
with pytest.raises(SystemExit):
main(args)
assert log_has('Using config: config.json.example ...',
caplog.record_tuples)
assert log_has('SIGINT received, aborting ...', caplog.record_tuples)
def test_start_calls_optimizer(mocker, default_conf, caplog) -> None:
dumper = mocker.patch('freqtrade.optimize.hyperopt.dump', MagicMock())
mocker.patch('freqtrade.optimize.hyperopt.load_data', MagicMock())
mocker.patch('freqtrade.optimize.hyperopt.multiprocessing.cpu_count',
MagicMock(return_value=1))
parallel = mocker.patch(
'freqtrade.optimize.hyperopt.Hyperopt.run_optimizer_parallel',
MagicMock(return_value=[{
'loss': 1,
'result': 'foo result',
'params': {}
}]))
patch_exchange(mocker)
default_conf.update({'config': 'config.json.example'})
default_conf.update({'epochs': 1})
default_conf.update({'timerange': None})
default_conf.update({'spaces': 'all'})
hyperopt = Hyperopt(default_conf)
hyperopt.tickerdata_to_dataframe = MagicMock()
hyperopt.start()
parallel.assert_called_once()
assert 'Best result:\nfoo result\nwith values:\n{}' in caplog.text
assert dumper.called
def test_reconfigure(mocker, default_conf) -> None:
""" Test recreate() function """
patch_exchange(mocker)
mocker.patch.multiple(
'freqtrade.freqtradebot.FreqtradeBot',
_init_modules=MagicMock(),
worker=MagicMock(side_effect=OperationalException('Oh snap!')),
cleanup=MagicMock(),
)
mocker.patch('freqtrade.configuration.Configuration._load_config_file',
lambda *args, **kwargs: default_conf)
mocker.patch('freqtrade.freqtradebot.CryptoToFiatConverter', MagicMock())
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
freqtrade = FreqtradeBot(default_conf)
# Renew mock to return modified data
conf = deepcopy(default_conf)
conf['stake_amount'] += 1
mocker.patch('freqtrade.configuration.Configuration._load_config_file',
lambda *args, **kwargs: conf)
# reconfigure should return a new instance
freqtrade2 = reconfigure(
freqtrade,
Arguments(['-c', 'config.json.example'], '').get_parsed_arg())
# Verify we have a new instance with the new config
assert freqtrade is not freqtrade2
assert freqtrade.config['stake_amount'] + 1 == freqtrade2.config[
'stake_amount']
def test_main_reload_conf(mocker, default_conf, caplog) -> None:
"""
Test main() function
In this test we are skipping the while True loop by throwing an exception.
"""
patch_exchange(mocker)
mocker.patch.multiple(
'freqtrade.freqtradebot.FreqtradeBot',
_init_modules=MagicMock(),
worker=MagicMock(return_value=State.RELOAD_CONF),
cleanup=MagicMock(),
)
mocker.patch('freqtrade.configuration.Configuration._load_config_file',
lambda *args, **kwargs: default_conf)
mocker.patch('freqtrade.freqtradebot.CryptoToFiatConverter', MagicMock())
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
# Raise exception as side effect to avoid endless loop
reconfigure_mock = mocker.patch('freqtrade.main.reconfigure',
MagicMock(side_effect=Exception))
with pytest.raises(SystemExit):
main(['-c', 'config.json.example'])
assert reconfigure_mock.call_count == 1
assert log_has('Using config: config.json.example ...',
caplog.record_tuples)
def test_fmin_throw_value_error(mocker, init_hyperopt, default_conf,
caplog) -> None:
mocker.patch('freqtrade.optimize.hyperopt.load_data', MagicMock())
mocker.patch('freqtrade.optimize.hyperopt.fmin', side_effect=ValueError())
conf = deepcopy(default_conf)
conf.update({'config': 'config.json.example'})
conf.update({'epochs': 1})
conf.update({'timerange': None})
conf.update({'spaces': 'all'})
patch_exchange(mocker)
StrategyResolver({'strategy': 'DefaultStrategy'})
hyperopt = Hyperopt(conf)
hyperopt.trials = create_trials(mocker)
hyperopt.tickerdata_to_dataframe = MagicMock()
hyperopt.start()
exists = [
'Best Result:',
'Sorry, Hyperopt was not able to find good parameters. Please try with more epochs '
'(param: -e).',
]
for line in exists:
assert line in caplog.text
def test_generate_text_table(default_conf, mocker):
"""
Test Backtesting.generate_text_table() method
"""
patch_exchange(mocker)
backtesting = Backtesting(default_conf)
results = pd.DataFrame({
'pair': ['ETH/BTC', 'ETH/BTC'],
'profit_percent': [0.1, 0.2],
'profit_abs': [0.2, 0.4],
'trade_duration': [10, 30],
'profit': [2, 0],
'loss': [0, 0]
})
result_str = (
'| pair | buy count | avg profit % | '
'total profit BTC | avg duration | profit | loss |\n'
'|:--------|------------:|---------------:|'
'-------------------:|---------------:|---------:|-------:|\n'
'| ETH/BTC | 2 | 15.00 | '
'0.60000000 | 20.0 | 2 | 0 |\n'
'| TOTAL | 2 | 15.00 | '
'0.60000000 | 20.0 | 2 | 0 |')
assert backtesting._generate_text_table(data={'ETH/BTC': {}},
results=results) == result_str
def test_download_data_days(mocker, markets, caplog):
dl_mock = mocker.patch('freqtrade.utils.download_pair_history',
MagicMock())
patch_exchange(mocker)
mocker.patch('freqtrade.exchange.Exchange.markets',
PropertyMock(return_value=markets))
mocker.patch.object(Path, "exists", MagicMock(return_value=True))
mocker.patch.object(Path, "unlink", MagicMock())
args = [
"download-data",
"--exchange",
"binance",
"--pairs",
"ETH/BTC",
"XRP/BTC",
"--days",
"20",
]
start_download_data(get_args(args))
assert dl_mock.call_count == 4
assert dl_mock.call_args[1]['timerange'].starttype == 'date'
assert log_has("Downloading pair ETH/BTC, interval 1m.", caplog)
def test_backtest_1min_ticker_interval(default_conf, fee, mocker) -> None:
"""
Test Backtesting.backtest() method with 1 min ticker
"""
mocker.patch('freqtrade.exchange.Exchange.get_fee', fee)
patch_exchange(mocker)
backtesting = Backtesting(default_conf)
# Run a backtesting for an exiting 5min ticker_interval
data = optimize.load_data(None,
ticker_interval='1m',
pairs=['UNITTEST/BTC'])
data = trim_dictlist(data, -200)
results = backtesting.backtest({
'stake_amount':
default_conf['stake_amount'],
'processed':
backtesting.tickerdata_to_dataframe(data),
'max_open_trades':
1,
'realistic':
True
})
assert not results.empty
assert len(results) == 1
def test_rpc_status_table(default_conf, ticker, fee, markets, mocker) -> None:
patch_exchange(mocker)
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
mocker.patch.multiple('freqtrade.exchange.Exchange',
get_ticker=ticker,
get_fee=fee,
markets=PropertyMock(return_value=markets))
freqtradebot = FreqtradeBot(default_conf)
patch_get_signal(freqtradebot, (True, False))
rpc = RPC(freqtradebot)
freqtradebot.state = State.RUNNING
with pytest.raises(RPCException, match=r'.*no active order*'):
rpc._rpc_status_table()
freqtradebot.create_trade()
result = rpc._rpc_status_table()
assert 'instantly' in result['Since'].all()
assert 'ETH/BTC' in result['Pair'].all()
assert '-0.59%' in result['Profit'].all()
mocker.patch(
'freqtrade.exchange.Exchange.get_ticker',
MagicMock(
side_effect=DependencyException(f"Pair 'ETH/BTC' not available")))
# invalidate ticker cache
rpc._freqtrade.exchange._cached_ticker = {}
result = rpc._rpc_status_table()
assert 'instantly' in result['Since'].all()
assert 'ETH/BTC' in result['Pair'].all()
assert 'nan%' in result['Profit'].all()
def test_authorized_only(default_conf, mocker, caplog) -> None:
patch_coinmarketcap(mocker)
patch_exchange(mocker, None)
chat = Chat(0, 0)
update = Update(randint(1, 100))
update.message = Message(randint(1, 100), 0, datetime.utcnow(), chat)
default_conf['telegram']['enabled'] = False
bot = FreqtradeBot(default_conf)
patch_get_signal(bot, (True, False))
dummy = DummyCls(bot)
dummy.dummy_handler(bot=MagicMock(), update=update)
assert dummy.state['called'] is True
assert log_has(
'Executing handler: dummy_handler for chat_id: 0',
caplog.record_tuples
)
assert not log_has(
'Rejected unauthorized message from: 0',
caplog.record_tuples
)
assert not log_has(
'Exception occurred within Telegram module',
caplog.record_tuples
)
def test_edge_init(mocker, edge_conf) -> None:
patch_exchange(mocker)
edge_conf['stake_amount'] = 20
edge_cli = EdgeCli(edge_conf)
assert edge_cli.config == edge_conf
assert edge_cli.config['stake_amount'] == 'unlimited'
assert callable(edge_cli.edge.calculate)
def test_backtesting_start(default_conf, mocker, caplog) -> None:
def get_timeframe(input1, input2):
return Arrow(2017, 11, 14, 21, 17), Arrow(2017, 11, 14, 22, 59)
mocker.patch('freqtrade.optimize.load_data', mocked_load_data)
mocker.patch('freqtrade.exchange.Exchange.refresh_tickers', MagicMock())
patch_exchange(mocker)
mocker.patch.multiple(
'freqtrade.optimize.backtesting.Backtesting',
backtest=MagicMock(),
_generate_text_table=MagicMock(return_value='1'),
get_timeframe=get_timeframe,
)
default_conf['exchange']['pair_whitelist'] = ['UNITTEST/BTC']
default_conf['ticker_interval'] = 1
default_conf['live'] = False
default_conf['datadir'] = None
default_conf['export'] = None
default_conf['timerange'] = '-100'
backtesting = Backtesting(default_conf)
backtesting.start()
# check the logs, that will contain the backtest result
exists = [
'Using local backtesting data (using whitelist in given config) ...',
'Using stake_currency: BTC ...', 'Using stake_amount: 0.001 ...',
'Measuring data from 2017-11-14T21:17:00+00:00 '
'up to 2017-11-14T22:59:00+00:00 (0 days)..'
]
for line in exists:
assert log_has(line, caplog.record_tuples)
def test_rpc_status_table(default_conf, ticker, fee, markets, mocker) -> None:
patch_coinmarketcap(mocker)
patch_exchange(mocker)
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
mocker.patch.multiple('freqtrade.exchange.Exchange',
get_ticker=ticker,
get_fee=fee,
get_markets=markets)
freqtradebot = FreqtradeBot(default_conf)
patch_get_signal(freqtradebot, (True, False))
rpc = RPC(freqtradebot)
freqtradebot.state = State.STOPPED
with pytest.raises(RPCException, match=r'.*trader is not running*'):
rpc._rpc_status_table()
freqtradebot.state = State.RUNNING
with pytest.raises(RPCException, match=r'.*no active order*'):
rpc._rpc_status_table()
freqtradebot.create_trade()
result = rpc._rpc_status_table()
assert 'just now' in result['Since'].all()
assert 'ETH/BTC' in result['Pair'].all()
assert '-0.59%' in result['Profit'].all()
def test_backtest(default_conf, fee, mocker) -> None:
mocker.patch('freqtrade.exchange.Exchange.get_fee', fee)
patch_exchange(mocker)
backtesting = Backtesting(default_conf)
pair = 'UNITTEST/BTC'
timerange = TimeRange(None, 'line', 0, -201)
data = history.load_data(datadir=None,
ticker_interval='5m',
pairs=['UNITTEST/BTC'],
timerange=timerange)
data_processed = backtesting.strategy.tickerdata_to_dataframe(data)
min_date, max_date = get_timeframe(data_processed)
results = backtesting.backtest({
'stake_amount': default_conf['stake_amount'],
'processed': data_processed,
'max_open_trades': 10,
'position_stacking': False,
'start_date': min_date,
'end_date': max_date,
})
assert not results.empty
assert len(results) == 2
expected = pd.DataFrame({
'pair': [pair, pair],
'profit_percent': [0.0, 0.0],
'profit_abs': [0.0, 0.0],
'open_time':
pd.to_datetime([
Arrow(2018, 1, 29, 18, 40, 0).datetime,
Arrow(2018, 1, 30, 3, 30, 0).datetime
],
utc=True),
'close_time':
pd.to_datetime([
Arrow(2018, 1, 29, 22, 35, 0).datetime,
Arrow(2018, 1, 30, 4, 10, 0).datetime
],
utc=True),
'open_index': [78, 184],
'close_index': [125, 192],
'trade_duration': [235, 40],
'open_at_end': [False, False],
'open_rate': [0.104445, 0.10302485],
'close_rate': [0.104969, 0.103541],
'sell_reason': [SellType.ROI, SellType.ROI]
})
pd.testing.assert_frame_equal(results, expected)
data_pair = data_processed[pair]
for _, t in results.iterrows():
ln = data_pair.loc[data_pair["date"] == t["open_time"]]
# Check open trade rate alignes to open rate
assert ln is not None
assert round(ln.iloc[0]["open"], 6) == round(t["open_rate"], 6)
# check close trade rate alignes to close rate or is between high and low
ln = data_pair.loc[data_pair["date"] == t["close_time"]]
assert (round(ln.iloc[0]["open"], 6) == round(t["close_rate"], 6)
or round(ln.iloc[0]["low"], 6) < round(
t["close_rate"], 6) < round(ln.iloc[0]["high"], 6))
def test_backtest_start_multi_strat(default_conf, mocker, caplog):
default_conf['exchange']['pair_whitelist'] = ['UNITTEST/BTC']
async def load_pairs(pair, timeframe, since):
return _load_pair_as_ticks(pair, timeframe)
api_mock = MagicMock()
api_mock.fetch_ohlcv = load_pairs
patch_exchange(mocker, api_mock)
backtestmock = MagicMock()
mocker.patch('freqtrade.optimize.backtesting.Backtesting.backtest', backtestmock)
gen_table_mock = MagicMock()
mocker.patch('freqtrade.optimize.backtesting.Backtesting._generate_text_table', gen_table_mock)
gen_strattable_mock = MagicMock()
mocker.patch('freqtrade.optimize.backtesting.Backtesting._generate_text_table_strategy',
gen_strattable_mock)
mocker.patch('freqtrade.configuration.open', mocker.mock_open(
read_data=json.dumps(default_conf)
))
args = [
'--config', 'config.json',
'--datadir', 'freqtrade/tests/testdata',
'backtesting',
'--ticker-interval', '1m',
'--live',
'--timerange', '-100',
'--enable-position-stacking',
'--disable-max-market-positions',
'--strategy-list',
'DefaultStrategy',
'TestStrategy',
]
args = get_args(args)
start(args)
# 2 backtests, 4 tables
assert backtestmock.call_count == 2
assert gen_table_mock.call_count == 4
assert gen_strattable_mock.call_count == 1
# check the logs, that will contain the backtest result
exists = [
'Parameter -i/--ticker-interval detected ...',
'Using ticker_interval: 1m ...',
'Parameter -l/--live detected ...',
'Ignoring max_open_trades (--disable-max-market-positions was used) ...',
'Parameter --timerange detected: -100 ...',
'Using data folder: freqtrade/tests/testdata ...',
'Using stake_currency: BTC ...',
'Using stake_amount: 0.001 ...',
'Downloading data for all pairs in whitelist ...',
'Measuring data from 2017-11-14T19:31:00+00:00 up to 2017-11-14T22:58:00+00:00 (0 days)..',
'Parameter --enable-position-stacking detected ...',
'Running backtesting for Strategy DefaultStrategy',
'Running backtesting for Strategy TestStrategy',
]
for line in exists:
assert log_has(line, caplog.record_tuples)
def test_status(default_conf, update, mocker, fee, ticker, markets) -> None:
update.message.chat.id = 123
default_conf['telegram']['enabled'] = False
default_conf['telegram']['chat_id'] = 123
patch_exchange(mocker)
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
get_ticker=ticker,
get_fee=fee,
markets=PropertyMock(markets)
)
msg_mock = MagicMock()
status_table = MagicMock()
mocker.patch.multiple(
'freqtrade.rpc.telegram.Telegram',
_init=MagicMock(),
_rpc_trade_status=MagicMock(return_value=[{
'trade_id': 1,
'pair': 'ETH/BTC',
'base_currency': 'BTC',
'open_date': arrow.utcnow(),
'open_date_hum': arrow.utcnow().humanize,
'close_date': None,
'close_date_hum': None,
'open_rate': 1.099e-05,
'close_rate': None,
'current_rate': 1.098e-05,
'amount': 90.99181074,
'stake_amount': 90.99181074,
'close_profit': None,
'current_profit': -0.59,
'initial_stop_loss': 1.098e-05,
'stop_loss': 1.099e-05,
'initial_stop_loss_pct': -0.05,
'stop_loss_pct': -0.01,
'open_order': '(limit buy rem=0.00000000)'
}]),
_status_table=status_table,
_send_msg=msg_mock
)
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
freqtradebot = FreqtradeBot(default_conf)
patch_get_signal(freqtradebot, (True, False))
telegram = Telegram(freqtradebot)
# Create some test data
for _ in range(3):
freqtradebot.create_trades()
telegram._status(bot=MagicMock(), update=update)
assert msg_mock.call_count == 1
update.message.text = MagicMock()
update.message.text.replace = MagicMock(return_value='table 2 3')
telegram._status(bot=MagicMock(), update=update)
assert status_table.call_count == 1
def test_rpc_whitelist(mocker, default_conf) -> None:
patch_exchange(mocker)
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
freqtradebot = FreqtradeBot(default_conf)
rpc = RPC(freqtradebot)
ret = rpc._rpc_whitelist()
assert ret['method'] == 'StaticPairList'
assert ret['whitelist'] == default_conf['exchange']['pair_whitelist']
def test_profit_handle(default_conf, update, ticker, ticker_sell_up, fee,
limit_buy_order, limit_sell_order, markets, mocker) -> None:
patch_coinmarketcap(mocker, value={'price_usd': 15000.0})
patch_exchange(mocker)
mocker.patch('freqtrade.rpc.rpc.CryptoToFiatConverter._find_price', return_value=15000.0)
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
get_ticker=ticker,
get_fee=fee,
get_markets=markets
)
msg_mock = MagicMock()
mocker.patch.multiple(
'freqtrade.rpc.telegram.Telegram',
_init=MagicMock(),
_send_msg=msg_mock
)
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
freqtradebot = FreqtradeBot(default_conf)
patch_get_signal(freqtradebot, (True, False))
telegram = Telegram(freqtradebot)
telegram._profit(bot=MagicMock(), update=update)
assert msg_mock.call_count == 1
assert 'no closed trade' in msg_mock.call_args_list[0][0][0]
msg_mock.reset_mock()
# Create some test data
freqtradebot.create_trade()
trade = Trade.query.first()
# Simulate fulfilled LIMIT_BUY order for trade
trade.update(limit_buy_order)
telegram._profit(bot=MagicMock(), update=update)
assert msg_mock.call_count == 1
assert 'no closed trade' in msg_mock.call_args_list[-1][0][0]
msg_mock.reset_mock()
# Update the ticker with a market going up
mocker.patch('freqtrade.exchange.Exchange.get_ticker', ticker_sell_up)
trade.update(limit_sell_order)
trade.close_date = datetime.utcnow()
trade.is_open = False
telegram._profit(bot=MagicMock(), update=update)
assert msg_mock.call_count == 1
assert '*ROI:* Close trades' in msg_mock.call_args_list[-1][0][0]
assert '∙ `0.00006217 BTC (6.20%)`' in msg_mock.call_args_list[-1][0][0]
assert '∙ `0.933 USD`' in msg_mock.call_args_list[-1][0][0]
assert '*ROI:* All trades' in msg_mock.call_args_list[-1][0][0]
assert '∙ `0.00006217 BTC (6.20%)`' in msg_mock.call_args_list[-1][0][0]
assert '∙ `0.933 USD`' in msg_mock.call_args_list[-1][0][0]
assert '*Best Performing:* `ETH/BTC: 6.20%`' in msg_mock.call_args_list[-1][0][0]
def test_get_timeframe(default_conf, mocker) -> None:
patch_exchange(mocker)
backtesting = Backtesting(default_conf)
data = backtesting.tickerdata_to_dataframe(
optimize.load_data(None, ticker_interval='1m', pairs=['UNITTEST/BTC']))
min_date, max_date = backtesting.get_timeframe(data)
assert min_date.isoformat() == '2017-11-04T23:02:00+00:00'
assert max_date.isoformat() == '2017-11-14T22:58:00+00:00'
def test_rpcforcebuy_disabled(mocker, default_conf) -> None:
patch_exchange(mocker)
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
freqtradebot = FreqtradeBot(default_conf)
patch_get_signal(freqtradebot, (True, False))
rpc = RPC(freqtradebot)
pair = 'ETH/BTC'
with pytest.raises(RPCException, match=r'Forcebuy not enabled.'):
rpc._rpc_forcebuy(pair, None)
