Merge branch 'develop' into pr/samgermain/6780

This commit is contained in:
Matthias
2022-07-16 15:35:00 +02:00
151 changed files with 22464 additions and 18288 deletions

View File

@@ -1,5 +1,6 @@
import json
import re
from datetime import datetime
from io import BytesIO
from pathlib import Path
from unittest.mock import MagicMock, PropertyMock
@@ -14,11 +15,14 @@ from freqtrade.commands import (start_backtesting_show, start_convert_data, star
start_list_exchanges, start_list_markets, start_list_strategies,
start_list_timeframes, start_new_strategy, start_show_trades,
start_test_pairlist, start_trading, start_webserver)
from freqtrade.commands.db_commands import start_convert_db
from freqtrade.commands.deploy_commands import (clean_ui_subdir, download_and_install_ui,
get_ui_download_url, read_ui_version)
from freqtrade.configuration import setup_utils_configuration
from freqtrade.enums import RunMode
from freqtrade.exceptions import OperationalException
from freqtrade.persistence.models import init_db
from freqtrade.persistence.pairlock_middleware import PairLocks
from tests.conftest import (CURRENT_TEST_STRATEGY, create_mock_trades, get_args, log_has,
log_has_re, patch_exchange, patched_configuration_load_config_file)
from tests.conftest_trades import MOCK_TRADE_COUNT
@@ -831,6 +835,23 @@ def test_download_data_trades(mocker, caplog):
start_download_data(pargs)
def test_download_data_data_invalid(mocker):
patch_exchange(mocker, id="kraken")
mocker.patch(
'freqtrade.exchange.Exchange.markets', PropertyMock(return_value={})
)
args = [
"download-data",
"--exchange", "kraken",
"--pairs", "ETH/BTC", "XRP/BTC",
"--days", "20",
]
pargs = get_args(args)
pargs['config'] = None
with pytest.raises(OperationalException, match=r"Historic klines not available for .*"):
start_download_data(pargs)
def test_start_convert_trades(mocker, caplog):
convert_mock = mocker.patch('freqtrade.commands.data_commands.convert_trades_to_ohlcv',
MagicMock(return_value=[]))
@@ -1458,3 +1479,33 @@ def test_backtesting_show(mocker, testdatadir, capsys):
assert sbr.call_count == 1
out, err = capsys.readouterr()
assert "Pairs for Strategy" in out
def test_start_convert_db(mocker, fee, tmpdir, caplog):
db_src_file = Path(f"{tmpdir}/db.sqlite")
db_from = f"sqlite:///{db_src_file}"
db_target_file = Path(f"{tmpdir}/db_target.sqlite")
db_to = f"sqlite:///{db_target_file}"
args = [
"convert-db",
"--db-url-from",
db_from,
"--db-url",
db_to,
]
assert not db_src_file.is_file()
init_db(db_from)
create_mock_trades(fee)
PairLocks.timeframe = '5m'
PairLocks.lock_pair('XRP/USDT', datetime.now(), 'Random reason 125', side='long')
assert db_src_file.is_file()
assert not db_target_file.is_file()
pargs = get_args(args)
pargs['config'] = None
start_convert_db(pargs)
assert db_target_file.is_file()

View File

@@ -78,9 +78,21 @@ def get_args(args):
# Source: https://stackoverflow.com/questions/29881236/how-to-mock-asyncio-coroutines
def get_mock_coro(return_value):
# TODO: This should be replaced with AsyncMock once support for python 3.7 is dropped.
def get_mock_coro(return_value=None, side_effect=None):
async def mock_coro(*args, **kwargs):
return return_value
if side_effect:
if isinstance(side_effect, list):
effect = side_effect.pop(0)
else:
effect = side_effect
if isinstance(effect, Exception):
raise effect
if callable(effect):
return effect(*args, **kwargs)
return effect
else:
return return_value
return Mock(wraps=mock_coro)
@@ -100,11 +112,8 @@ def patch_exchange(
mock_supported_modes=True
) -> None:
mocker.patch('freqtrade.exchange.Exchange._load_async_markets', MagicMock(return_value={}))
mocker.patch('freqtrade.exchange.Exchange.validate_pairs', MagicMock())
mocker.patch('freqtrade.exchange.Exchange.validate_config', MagicMock())
mocker.patch('freqtrade.exchange.Exchange.validate_timeframes', MagicMock())
mocker.patch('freqtrade.exchange.Exchange.validate_ordertypes', MagicMock())
mocker.patch('freqtrade.exchange.Exchange.validate_stakecurrency', MagicMock())
mocker.patch('freqtrade.exchange.Exchange.validate_pricing')
mocker.patch('freqtrade.exchange.Exchange.id', PropertyMock(return_value=id))
mocker.patch('freqtrade.exchange.Exchange.name', PropertyMock(return_value=id.title()))
mocker.patch('freqtrade.exchange.Exchange.precisionMode', PropertyMock(return_value=2))
@@ -325,7 +334,7 @@ def create_mock_trades_with_leverage(fee, use_db: bool = True):
Trade.query.session.flush()
def create_mock_trades_usdt(fee, use_db: bool = True):
def create_mock_trades_usdt(fee, is_short: Optional[bool] = False, use_db: bool = True):
"""
Create some fake trades ...
"""
@@ -335,26 +344,29 @@ def create_mock_trades_usdt(fee, use_db: bool = True):
else:
LocalTrade.add_bt_trade(trade)
is_short1 = is_short if is_short is not None else True
is_short2 = is_short if is_short is not None else False
# Simulate dry_run entries
trade = mock_trade_usdt_1(fee)
trade = mock_trade_usdt_1(fee, is_short1)
add_trade(trade)
trade = mock_trade_usdt_2(fee)
trade = mock_trade_usdt_2(fee, is_short1)
add_trade(trade)
trade = mock_trade_usdt_3(fee)
trade = mock_trade_usdt_3(fee, is_short1)
add_trade(trade)
trade = mock_trade_usdt_4(fee)
trade = mock_trade_usdt_4(fee, is_short2)
add_trade(trade)
trade = mock_trade_usdt_5(fee)
trade = mock_trade_usdt_5(fee, is_short2)
add_trade(trade)
trade = mock_trade_usdt_6(fee)
trade = mock_trade_usdt_6(fee, is_short1)
add_trade(trade)
trade = mock_trade_usdt_7(fee)
trade = mock_trade_usdt_7(fee, is_short1)
add_trade(trade)
if use_db:
Trade.commit()
@@ -384,7 +396,7 @@ def patch_coingekko(mocker) -> None:
@pytest.fixture(scope='function')
def init_persistence(default_conf):
init_db(default_conf['db_url'], default_conf['dry_run'])
init_db(default_conf['db_url'])
@pytest.fixture(scope="function")
@@ -1616,6 +1628,7 @@ def limit_buy_order_open():
'datetime': arrow.utcnow().isoformat(),
'price': 0.00001099,
'amount': 90.99181073,
'average': None,
'filled': 0.0,
'cost': 0.0009999,
'remaining': 90.99181073,
@@ -1678,6 +1691,7 @@ def limit_buy_order_old_partial():
'price': 0.00001099,
'amount': 90.99181073,
'filled': 23.0,
'cost': 90.99181073 * 23.0,
'remaining': 67.99181073,
'status': 'open'
}
@@ -3149,60 +3163,46 @@ def leverage_tiers():
"AAVE/USDT": [
{
'min': 0,
'max': 50000,
'max': 5000,
'mmr': 0.01,
'lev': 50,
'maintAmt': 0.0
},
{
'min': 50000,
'max': 250000,
'min': 5000,
'max': 25000,
'mmr': 0.02,
'lev': 25,
'maintAmt': 500.0
'maintAmt': 75.0
},
{
'min': 25000,
'max': 100000,
'mmr': 0.05,
'lev': 10,
'maintAmt': 700.0
},
{
'min': 100000,
'max': 250000,
'mmr': 0.1,
'lev': 5,
'maintAmt': 5700.0
},
{
'min': 250000,
'max': 1000000,
'mmr': 0.05,
'lev': 10,
'maintAmt': 8000.0
},
{
'min': 1000000,
'max': 2000000,
'mmr': 0.1,
'lev': 5,
'maintAmt': 58000.0
},
{
'min': 2000000,
'max': 5000000,
'mmr': 0.125,
'lev': 4,
'maintAmt': 108000.0
},
{
'min': 5000000,
'max': 10000000,
'mmr': 0.1665,
'lev': 3,
'maintAmt': 315500.0
'lev': 2,
'maintAmt': 11950.0
},
{
'min': 10000000,
'max': 20000000,
'mmr': 0.25,
'lev': 2,
'maintAmt': 1150500.0
'max': 50000000,
'mmr': 0.5,
'lev': 1,
'maintAmt': 386950.0
},
{
"min": 20000000,
"max": 50000000,
"mmr": 0.5,
"lev": 1,
"maintAmt": 6150500.0
}
],
"ADA/BUSD": [
{

View File

@@ -29,6 +29,7 @@ def mock_order_1(is_short: bool):
'average': 0.123,
'amount': 123.0,
'filled': 123.0,
'cost': 15.129,
'remaining': 0.0,
}
@@ -65,6 +66,7 @@ def mock_order_2(is_short: bool):
'price': 0.123,
'amount': 123.0,
'filled': 123.0,
'cost': 15.129,
'remaining': 0.0,
}
@@ -79,6 +81,7 @@ def mock_order_2_sell(is_short: bool):
'price': 0.128,
'amount': 123.0,
'filled': 123.0,
'cost': 15.129,
'remaining': 0.0,
}
@@ -126,6 +129,7 @@ def mock_order_3(is_short: bool):
'price': 0.05,
'amount': 123.0,
'filled': 123.0,
'cost': 15.129,
'remaining': 0.0,
}
@@ -141,6 +145,7 @@ def mock_order_3_sell(is_short: bool):
'average': 0.06,
'amount': 123.0,
'filled': 123.0,
'cost': 15.129,
'remaining': 0.0,
}
@@ -186,6 +191,7 @@ def mock_order_4(is_short: bool):
'price': 0.123,
'amount': 123.0,
'filled': 0.0,
'cost': 15.129,
'remaining': 123.0,
}
@@ -225,6 +231,7 @@ def mock_order_5(is_short: bool):
'price': 0.123,
'amount': 123.0,
'filled': 123.0,
'cost': 15.129,
'remaining': 0.0,
}
@@ -239,6 +246,7 @@ def mock_order_5_stoploss(is_short: bool):
'price': 0.123,
'amount': 123.0,
'filled': 0.0,
'cost': 0.0,
'remaining': 123.0,
}
@@ -281,6 +289,7 @@ def mock_order_6(is_short: bool):
'price': 0.15,
'amount': 2.0,
'filled': 2.0,
'cost': 0.3,
'remaining': 0.0,
}
@@ -295,6 +304,7 @@ def mock_order_6_sell(is_short: bool):
'price': 0.15 if is_short else 0.20,
'amount': 2.0,
'filled': 0.0,
'cost': 0.0,
'remaining': 2.0,
}
@@ -337,6 +347,7 @@ def short_order():
'price': 0.123,
'amount': 123.0,
'filled': 123.0,
'cost': 15.129,
'remaining': 0.0,
}
@@ -351,6 +362,7 @@ def exit_short_order():
'price': 0.128,
'amount': 123.0,
'filled': 123.0,
'cost': 15.744,
'remaining': 0.0,
}
@@ -424,6 +436,7 @@ def leverage_order():
'amount': 123.0,
'filled': 123.0,
'remaining': 0.0,
'cost': 15.129,
'leverage': 5.0
}
@@ -439,6 +452,7 @@ def leverage_order_sell():
'amount': 123.0,
'filled': 123.0,
'remaining': 0.0,
'cost': 15.744,
'leverage': 5.0
}

View File

@@ -6,47 +6,84 @@ from freqtrade.persistence.models import Order, Trade
MOCK_TRADE_COUNT = 6
def mock_order_usdt_1():
def entry_side(is_short: bool):
return "sell" if is_short else "buy"
def exit_side(is_short: bool):
return "buy" if is_short else "sell"
def direc(is_short: bool):
return "short" if is_short else "long"
def mock_order_usdt_1(is_short: bool):
return {
'id': '1234',
'symbol': 'ADA/USDT',
'id': f'prod_entry_1_{direc(is_short)}',
'symbol': 'LTC/USDT',
'status': 'closed',
'side': 'buy',
'side': entry_side(is_short),
'type': 'limit',
'price': 2.0,
'amount': 10.0,
'filled': 10.0,
'price': 10.0,
'amount': 2.0,
'filled': 2.0,
'remaining': 0.0,
}
def mock_trade_usdt_1(fee):
def mock_order_usdt_1_exit(is_short: bool):
return {
'id': f'prod_exit_1_{direc(is_short)}',
'symbol': 'LTC/USDT',
'status': 'closed',
'side': exit_side(is_short),
'type': 'limit',
'price': 8.0,
'amount': 2.0,
'filled': 2.0,
'remaining': 0.0,
}
def mock_trade_usdt_1(fee, is_short: bool):
"""
Simulate prod entry with open sell order
"""
trade = Trade(
pair='ADA/USDT',
pair='LTC/USDT',
stake_amount=20.0,
amount=10.0,
amount_requested=10.0,
amount=2.0,
amount_requested=2.0,
open_date=datetime.now(tz=timezone.utc) - timedelta(days=2, minutes=20),
close_date=datetime.now(tz=timezone.utc) - timedelta(days=2, minutes=5),
fee_open=fee.return_value,
fee_close=fee.return_value,
is_open=True,
open_date=datetime.now(tz=timezone.utc) - timedelta(minutes=17),
open_rate=2.0,
is_open=False,
open_rate=10.0,
close_rate=8.0,
close_profit=-0.2,
close_profit_abs=-4.0,
exchange='binance',
open_order_id='dry_run_buy_12345',
strategy='StrategyTestV2',
strategy='SampleStrategy',
open_order_id=f'prod_exit_1_{direc(is_short)}',
timeframe=5,
is_short=is_short,
)
o = Order.parse_from_ccxt_object(mock_order_usdt_1(), 'ADA/USDT', 'buy')
o = Order.parse_from_ccxt_object(mock_order_usdt_1(is_short), 'LTC/USDT', entry_side(is_short))
trade.orders.append(o)
o = Order.parse_from_ccxt_object(mock_order_usdt_1_exit(is_short),
'LTC/USDT', exit_side(is_short))
trade.orders.append(o)
return trade
def mock_order_usdt_2():
def mock_order_usdt_2(is_short: bool):
return {
'id': '1235',
'id': f'1235_{direc(is_short)}',
'symbol': 'ETC/USDT',
'status': 'closed',
'side': 'buy',
'side': entry_side(is_short),
'type': 'limit',
'price': 2.0,
'amount': 100.0,
@@ -55,12 +92,12 @@ def mock_order_usdt_2():
}
def mock_order_usdt_2_sell():
def mock_order_usdt_2_exit(is_short: bool):
return {
'id': '12366',
'id': f'12366_{direc(is_short)}',
'symbol': 'ETC/USDT',
'status': 'closed',
'side': 'sell',
'side': exit_side(is_short),
'type': 'limit',
'price': 2.05,
'amount': 100.0,
@@ -69,7 +106,7 @@ def mock_order_usdt_2_sell():
}
def mock_trade_usdt_2(fee):
def mock_trade_usdt_2(fee, is_short: bool):
"""
Closed trade...
"""
@@ -82,30 +119,33 @@ def mock_trade_usdt_2(fee):
fee_close=fee.return_value,
open_rate=2.0,
close_rate=2.05,
close_profit=5.0,
close_profit=0.05,
close_profit_abs=3.9875,
exchange='binance',
is_open=False,
open_order_id='dry_run_sell_12345',
open_order_id=f'12366_{direc(is_short)}',
strategy='StrategyTestV2',
timeframe=5,
exit_reason='sell_signal',
enter_tag='TEST1',
exit_reason='exit_signal',
open_date=datetime.now(tz=timezone.utc) - timedelta(minutes=20),
close_date=datetime.now(tz=timezone.utc) - timedelta(minutes=2),
is_short=is_short,
)
o = Order.parse_from_ccxt_object(mock_order_usdt_2(), 'ETC/USDT', 'buy')
o = Order.parse_from_ccxt_object(mock_order_usdt_2(is_short), 'ETC/USDT', entry_side(is_short))
trade.orders.append(o)
o = Order.parse_from_ccxt_object(mock_order_usdt_2_sell(), 'ETC/USDT', 'sell')
o = Order.parse_from_ccxt_object(
mock_order_usdt_2_exit(is_short), 'ETC/USDT', exit_side(is_short))
trade.orders.append(o)
return trade
def mock_order_usdt_3():
def mock_order_usdt_3(is_short: bool):
return {
'id': '41231a12a',
'id': f'41231a12a_{direc(is_short)}',
'symbol': 'XRP/USDT',
'status': 'closed',
'side': 'buy',
'side': entry_side(is_short),
'type': 'limit',
'price': 1.0,
'amount': 30.0,
@@ -114,12 +154,12 @@ def mock_order_usdt_3():
}
def mock_order_usdt_3_sell():
def mock_order_usdt_3_exit(is_short: bool):
return {
'id': '41231a666a',
'id': f'41231a666a_{direc(is_short)}',
'symbol': 'XRP/USDT',
'status': 'closed',
'side': 'sell',
'side': exit_side(is_short),
'type': 'stop_loss_limit',
'price': 1.1,
'average': 1.1,
@@ -129,7 +169,7 @@ def mock_order_usdt_3_sell():
}
def mock_trade_usdt_3(fee):
def mock_trade_usdt_3(fee, is_short: bool):
"""
Closed trade
"""
@@ -142,29 +182,32 @@ def mock_trade_usdt_3(fee):
fee_close=fee.return_value,
open_rate=1.0,
close_rate=1.1,
close_profit=10.0,
close_profit=0.1,
close_profit_abs=9.8425,
exchange='binance',
is_open=False,
strategy='StrategyTestV2',
timeframe=5,
enter_tag='TEST3',
exit_reason='roi',
open_date=datetime.now(tz=timezone.utc) - timedelta(minutes=20),
close_date=datetime.now(tz=timezone.utc),
is_short=is_short,
)
o = Order.parse_from_ccxt_object(mock_order_usdt_3(), 'XRP/USDT', 'buy')
o = Order.parse_from_ccxt_object(mock_order_usdt_3(is_short), 'XRP/USDT', entry_side(is_short))
trade.orders.append(o)
o = Order.parse_from_ccxt_object(mock_order_usdt_3_sell(), 'XRP/USDT', 'sell')
o = Order.parse_from_ccxt_object(mock_order_usdt_3_exit(is_short),
'XRP/USDT', exit_side(is_short))
trade.orders.append(o)
return trade
def mock_order_usdt_4():
def mock_order_usdt_4(is_short: bool):
return {
'id': 'prod_buy_12345',
'id': f'prod_buy_12345_{direc(is_short)}',
'symbol': 'ETC/USDT',
'status': 'open',
'side': 'buy',
'side': entry_side(is_short),
'type': 'limit',
'price': 2.0,
'amount': 10.0,
@@ -173,7 +216,7 @@ def mock_order_usdt_4():
}
def mock_trade_usdt_4(fee):
def mock_trade_usdt_4(fee, is_short: bool):
"""
Simulate prod entry
"""
@@ -188,21 +231,22 @@ def mock_trade_usdt_4(fee):
is_open=True,
open_rate=2.0,
exchange='binance',
open_order_id='prod_buy_12345',
open_order_id=f'prod_buy_12345_{direc(is_short)}',
strategy='StrategyTestV2',
timeframe=5,
is_short=is_short,
)
o = Order.parse_from_ccxt_object(mock_order_usdt_4(), 'ETC/USDT', 'buy')
o = Order.parse_from_ccxt_object(mock_order_usdt_4(is_short), 'ETC/USDT', entry_side(is_short))
trade.orders.append(o)
return trade
def mock_order_usdt_5():
def mock_order_usdt_5(is_short: bool):
return {
'id': 'prod_buy_3455',
'id': f'prod_buy_3455_{direc(is_short)}',
'symbol': 'XRP/USDT',
'status': 'closed',
'side': 'buy',
'side': entry_side(is_short),
'type': 'limit',
'price': 2.0,
'amount': 10.0,
@@ -211,12 +255,12 @@ def mock_order_usdt_5():
}
def mock_order_usdt_5_stoploss():
def mock_order_usdt_5_stoploss(is_short: bool):
return {
'id': 'prod_stoploss_3455',
'id': f'prod_stoploss_3455_{direc(is_short)}',
'symbol': 'XRP/USDT',
'status': 'open',
'side': 'sell',
'side': exit_side(is_short),
'type': 'stop_loss_limit',
'price': 2.0,
'amount': 10.0,
@@ -225,7 +269,7 @@ def mock_order_usdt_5_stoploss():
}
def mock_trade_usdt_5(fee):
def mock_trade_usdt_5(fee, is_short: bool):
"""
Simulate prod entry with stoploss
"""
@@ -241,22 +285,23 @@ def mock_trade_usdt_5(fee):
open_rate=2.0,
exchange='binance',
strategy='SampleStrategy',
stoploss_order_id='prod_stoploss_3455',
stoploss_order_id=f'prod_stoploss_3455_{direc(is_short)}',
timeframe=5,
is_short=is_short,
)
o = Order.parse_from_ccxt_object(mock_order_usdt_5(), 'XRP/USDT', 'buy')
o = Order.parse_from_ccxt_object(mock_order_usdt_5(is_short), 'XRP/USDT', entry_side(is_short))
trade.orders.append(o)
o = Order.parse_from_ccxt_object(mock_order_usdt_5_stoploss(), 'XRP/USDT', 'stoploss')
o = Order.parse_from_ccxt_object(mock_order_usdt_5_stoploss(is_short), 'XRP/USDT', 'stoploss')
trade.orders.append(o)
return trade
def mock_order_usdt_6():
def mock_order_usdt_6(is_short: bool):
return {
'id': 'prod_buy_6',
'id': f'prod_entry_6_{direc(is_short)}',
'symbol': 'LTC/USDT',
'status': 'closed',
'side': 'buy',
'side': entry_side(is_short),
'type': 'limit',
'price': 10.0,
'amount': 2.0,
@@ -265,12 +310,12 @@ def mock_order_usdt_6():
}
def mock_order_usdt_6_sell():
def mock_order_usdt_6_exit(is_short: bool):
return {
'id': 'prod_sell_6',
'id': f'prod_exit_6_{direc(is_short)}',
'symbol': 'LTC/USDT',
'status': 'open',
'side': 'sell',
'side': exit_side(is_short),
'type': 'limit',
'price': 12.0,
'amount': 2.0,
@@ -279,7 +324,7 @@ def mock_order_usdt_6_sell():
}
def mock_trade_usdt_6(fee):
def mock_trade_usdt_6(fee, is_short: bool):
"""
Simulate prod entry with open sell order
"""
@@ -295,69 +340,49 @@ def mock_trade_usdt_6(fee):
open_rate=10.0,
exchange='binance',
strategy='SampleStrategy',
open_order_id="prod_sell_6",
open_order_id=f'prod_exit_6_{direc(is_short)}',
timeframe=5,
is_short=is_short,
)
o = Order.parse_from_ccxt_object(mock_order_usdt_6(), 'LTC/USDT', 'buy')
o = Order.parse_from_ccxt_object(mock_order_usdt_6(is_short), 'LTC/USDT', entry_side(is_short))
trade.orders.append(o)
o = Order.parse_from_ccxt_object(mock_order_usdt_6_sell(), 'LTC/USDT', 'sell')
o = Order.parse_from_ccxt_object(mock_order_usdt_6_exit(is_short),
'LTC/USDT', exit_side(is_short))
trade.orders.append(o)
return trade
def mock_order_usdt_7():
def mock_order_usdt_7(is_short: bool):
return {
'id': 'prod_buy_7',
'symbol': 'LTC/USDT',
'id': f'1234_{direc(is_short)}',
'symbol': 'ADA/USDT',
'status': 'closed',
'side': 'buy',
'side': entry_side(is_short),
'type': 'limit',
'price': 10.0,
'amount': 2.0,
'filled': 2.0,
'price': 2.0,
'amount': 10.0,
'filled': 10.0,
'remaining': 0.0,
}
def mock_order_usdt_7_sell():
return {
'id': 'prod_sell_7',
'symbol': 'LTC/USDT',
'status': 'closed',
'side': 'sell',
'type': 'limit',
'price': 8.0,
'amount': 2.0,
'filled': 2.0,
'remaining': 0.0,
}
def mock_trade_usdt_7(fee):
"""
Simulate prod entry with open sell order
"""
def mock_trade_usdt_7(fee, is_short: bool):
trade = Trade(
pair='LTC/USDT',
pair='ADA/USDT',
stake_amount=20.0,
amount=2.0,
amount_requested=2.0,
open_date=datetime.now(tz=timezone.utc) - timedelta(minutes=20),
close_date=datetime.now(tz=timezone.utc) - timedelta(minutes=5),
amount=10.0,
amount_requested=10.0,
fee_open=fee.return_value,
fee_close=fee.return_value,
is_open=False,
open_rate=10.0,
close_rate=8.0,
close_profit=-0.2,
close_profit_abs=-4.0,
is_open=True,
open_date=datetime.now(tz=timezone.utc) - timedelta(minutes=17),
open_rate=2.0,
exchange='binance',
strategy='SampleStrategy',
open_order_id="prod_sell_6",
open_order_id=f'1234_{direc(is_short)}',
strategy='StrategyTestV2',
timeframe=5,
is_short=is_short,
)
o = Order.parse_from_ccxt_object(mock_order_usdt_7(), 'LTC/USDT', 'buy')
trade.orders.append(o)
o = Order.parse_from_ccxt_object(mock_order_usdt_7_sell(), 'LTC/USDT', 'sell')
o = Order.parse_from_ccxt_object(mock_order_usdt_7(is_short), 'ADA/USDT', entry_side(is_short))
trade.orders.append(o)
return trade

View File

@@ -85,7 +85,7 @@ def test_load_backtest_data_new_format(testdatadir):
filename = testdatadir / "backtest_results/backtest-result_new.json"
bt_data = load_backtest_data(filename)
assert isinstance(bt_data, DataFrame)
assert set(bt_data.columns) == set(BT_DATA_COLUMNS + ['close_timestamp', 'open_timestamp'])
assert set(bt_data.columns) == set(BT_DATA_COLUMNS)
assert len(bt_data) == 179
# Test loading from string (must yield same result)
@@ -110,7 +110,7 @@ def test_load_backtest_data_multi(testdatadir):
bt_data = load_backtest_data(filename, strategy=strategy)
assert isinstance(bt_data, DataFrame)
assert set(bt_data.columns) == set(
BT_DATA_COLUMNS + ['close_timestamp', 'open_timestamp'])
BT_DATA_COLUMNS)
assert len(bt_data) == 179
# Test loading from string (must yield same result)

View File

@@ -0,0 +1,191 @@
import logging
from unittest.mock import MagicMock, PropertyMock
import pandas as pd
import pytest
from freqtrade.commands.analyze_commands import start_analysis_entries_exits
from freqtrade.commands.optimize_commands import start_backtesting
from freqtrade.enums import ExitType
from freqtrade.optimize.backtesting import Backtesting
from tests.conftest import get_args, patch_exchange, patched_configuration_load_config_file
@pytest.fixture(autouse=True)
def entryexitanalysis_cleanup() -> None:
yield None
Backtesting.cleanup()
def test_backtest_analysis_nomock(default_conf, mocker, caplog, testdatadir, tmpdir, capsys):
caplog.set_level(logging.INFO)
default_conf.update({
"use_exit_signal": True,
"exit_profit_only": False,
"exit_profit_offset": 0.0,
"ignore_roi_if_entry_signal": False,
})
patch_exchange(mocker)
result1 = pd.DataFrame({'pair': ['ETH/BTC', 'LTC/BTC', 'ETH/BTC', 'LTC/BTC'],
'profit_ratio': [0.025, 0.05, -0.1, -0.05],
'profit_abs': [0.5, 2.0, -4.0, -2.0],
'open_date': pd.to_datetime(['2018-01-29 18:40:00',
'2018-01-30 03:30:00',
'2018-01-30 08:10:00',
'2018-01-31 13:30:00', ], utc=True
),
'close_date': pd.to_datetime(['2018-01-29 20:45:00',
'2018-01-30 05:35:00',
'2018-01-30 09:10:00',
'2018-01-31 15:00:00', ], utc=True),
'trade_duration': [235, 40, 60, 90],
'is_open': [False, False, False, False],
'stake_amount': [0.01, 0.01, 0.01, 0.01],
'open_rate': [0.104445, 0.10302485, 0.10302485, 0.10302485],
'close_rate': [0.104969, 0.103541, 0.102041, 0.102541],
"is_short": [False, False, False, False],
'enter_tag': ["enter_tag_long_a",
"enter_tag_long_b",
"enter_tag_long_a",
"enter_tag_long_b"],
'exit_reason': [ExitType.ROI,
ExitType.EXIT_SIGNAL,
ExitType.STOP_LOSS,
ExitType.TRAILING_STOP_LOSS]
})
backtestmock = MagicMock(side_effect=[
{
'results': result1,
'config': default_conf,
'locks': [],
'rejected_signals': 20,
'timedout_entry_orders': 0,
'timedout_exit_orders': 0,
'canceled_trade_entries': 0,
'canceled_entry_orders': 0,
'replaced_entry_orders': 0,
'final_balance': 1000,
}
])
mocker.patch('freqtrade.plugins.pairlistmanager.PairListManager.whitelist',
PropertyMock(return_value=['ETH/BTC', 'LTC/BTC', 'DASH/BTC']))
mocker.patch('freqtrade.optimize.backtesting.Backtesting.backtest', backtestmock)
patched_configuration_load_config_file(mocker, default_conf)
args = [
'backtesting',
'--config', 'config.json',
'--datadir', str(testdatadir),
'--user-data-dir', str(tmpdir),
'--timeframe', '5m',
'--timerange', '1515560100-1517287800',
'--export', 'signals',
'--cache', 'none',
]
args = get_args(args)
start_backtesting(args)
captured = capsys.readouterr()
assert 'BACKTESTING REPORT' in captured.out
assert 'EXIT REASON STATS' in captured.out
assert 'LEFT OPEN TRADES REPORT' in captured.out
base_args = [
'backtesting-analysis',
'--config', 'config.json',
'--datadir', str(testdatadir),
'--user-data-dir', str(tmpdir),
]
# test group 0 and indicator list
args = get_args(base_args +
['--analysis-groups', "0",
'--indicator-list', "close", "rsi", "profit_abs"]
)
start_analysis_entries_exits(args)
captured = capsys.readouterr()
assert 'LTC/BTC' in captured.out
assert 'ETH/BTC' in captured.out
assert 'enter_tag_long_a' in captured.out
assert 'enter_tag_long_b' in captured.out
assert 'exit_signal' in captured.out
assert 'roi' in captured.out
assert 'stop_loss' in captured.out
assert 'trailing_stop_loss' in captured.out
assert '0.5' in captured.out
assert '-4' in captured.out
assert '-2' in captured.out
assert '-3.5' in captured.out
assert '50' in captured.out
assert '0' in captured.out
assert '0.01616' in captured.out
assert '34.049' in captured.out
assert '0.104104' in captured.out
assert '47.0996' in captured.out
# test group 1
args = get_args(base_args + ['--analysis-groups', "1"])
start_analysis_entries_exits(args)
captured = capsys.readouterr()
assert 'enter_tag_long_a' in captured.out
assert 'enter_tag_long_b' in captured.out
assert 'total_profit_pct' in captured.out
assert '-3.5' in captured.out
assert '-1.75' in captured.out
assert '-7.5' in captured.out
assert '-3.75' in captured.out
assert '0' in captured.out
# test group 2
args = get_args(base_args + ['--analysis-groups', "2"])
start_analysis_entries_exits(args)
captured = capsys.readouterr()
assert 'enter_tag_long_a' in captured.out
assert 'enter_tag_long_b' in captured.out
assert 'exit_signal' in captured.out
assert 'roi' in captured.out
assert 'stop_loss' in captured.out
assert 'trailing_stop_loss' in captured.out
assert 'total_profit_pct' in captured.out
assert '-10' in captured.out
assert '-5' in captured.out
assert '2.5' in captured.out
# test group 3
args = get_args(base_args + ['--analysis-groups', "3"])
start_analysis_entries_exits(args)
captured = capsys.readouterr()
assert 'LTC/BTC' in captured.out
assert 'ETH/BTC' in captured.out
assert 'enter_tag_long_a' in captured.out
assert 'enter_tag_long_b' in captured.out
assert 'total_profit_pct' in captured.out
assert '-7.5' in captured.out
assert '-3.75' in captured.out
assert '-1.75' in captured.out
assert '0' in captured.out
assert '2' in captured.out
# test group 4
args = get_args(base_args + ['--analysis-groups', "4"])
start_analysis_entries_exits(args)
captured = capsys.readouterr()
assert 'LTC/BTC' in captured.out
assert 'ETH/BTC' in captured.out
assert 'enter_tag_long_a' in captured.out
assert 'enter_tag_long_b' in captured.out
assert 'exit_signal' in captured.out
assert 'roi' in captured.out
assert 'stop_loss' in captured.out
assert 'trailing_stop_loss' in captured.out
assert 'total_profit_pct' in captured.out
assert '-10' in captured.out
assert '-5' in captured.out
assert '-4' in captured.out
assert '0.5' in captured.out
assert '1' in captured.out
assert '2.5' in captured.out

View File

@@ -158,21 +158,22 @@ def test_testdata_path(testdatadir) -> None:
assert str(Path('tests') / 'testdata') in str(testdatadir)
@pytest.mark.parametrize("pair,expected_result,candle_type", [
("ETH/BTC", 'freqtrade/hello/world/ETH_BTC-5m.json', ""),
("Fabric Token/ETH", 'freqtrade/hello/world/Fabric_Token_ETH-5m.json', ""),
("ETHH20", 'freqtrade/hello/world/ETHH20-5m.json', ""),
(".XBTBON2H", 'freqtrade/hello/world/_XBTBON2H-5m.json', ""),
("ETHUSD.d", 'freqtrade/hello/world/ETHUSD_d-5m.json', ""),
("ACC_OLD/BTC", 'freqtrade/hello/world/ACC_OLD_BTC-5m.json', ""),
("ETH/BTC", 'freqtrade/hello/world/futures/ETH_BTC-5m-mark.json', "mark"),
("ACC_OLD/BTC", 'freqtrade/hello/world/futures/ACC_OLD_BTC-5m-index.json', "index"),
@pytest.mark.parametrize("pair,timeframe,expected_result,candle_type", [
("ETH/BTC", "5m", "freqtrade/hello/world/ETH_BTC-5m.json", ""),
("ETH/USDT", "1M", "freqtrade/hello/world/ETH_USDT-1Mo.json", ""),
("Fabric Token/ETH", "5m", "freqtrade/hello/world/Fabric_Token_ETH-5m.json", ""),
("ETHH20", "5m", "freqtrade/hello/world/ETHH20-5m.json", ""),
(".XBTBON2H", "5m", "freqtrade/hello/world/_XBTBON2H-5m.json", ""),
("ETHUSD.d", "5m", "freqtrade/hello/world/ETHUSD_d-5m.json", ""),
("ACC_OLD/BTC", "5m", "freqtrade/hello/world/ACC_OLD_BTC-5m.json", ""),
("ETH/BTC", "5m", "freqtrade/hello/world/futures/ETH_BTC-5m-mark.json", "mark"),
("ACC_OLD/BTC", "5m", "freqtrade/hello/world/futures/ACC_OLD_BTC-5m-index.json", "index"),
])
def test_json_pair_data_filename(pair, expected_result, candle_type):
def test_json_pair_data_filename(pair, timeframe, expected_result, candle_type):
fn = JsonDataHandler._pair_data_filename(
Path('freqtrade/hello/world'),
pair,
'5m',
timeframe,
CandleType.from_string(candle_type)
)
assert isinstance(fn, Path)
@@ -180,7 +181,7 @@ def test_json_pair_data_filename(pair, expected_result, candle_type):
fn = JsonGzDataHandler._pair_data_filename(
Path('freqtrade/hello/world'),
pair,
'5m',
timeframe,
candle_type=CandleType.from_string(candle_type)
)
assert isinstance(fn, Path)

View File

@@ -154,6 +154,7 @@ def test_stoploss_adjust_binance(mocker, default_conf, sl1, sl2, sl3, side):
order = {
'type': 'stop_loss_limit',
'price': 1500,
'stopPrice': 1500,
'info': {'stopPrice': 1500},
}
assert exchange.stoploss_adjust(sl1, order, side=side)
@@ -490,11 +491,11 @@ def test_fill_leverage_tiers_binance_dryrun(default_conf, mocker, leverage_tiers
default_conf['margin_mode'] = MarginMode.ISOLATED
exchange = get_patched_exchange(mocker, default_conf, api_mock, id="binance")
exchange.fill_leverage_tiers()
leverage_tiers = leverage_tiers
assert len(exchange._leverage_tiers.keys()) > 100
for key, value in leverage_tiers.items():
assert exchange._leverage_tiers[key] == value
v = exchange._leverage_tiers[key]
assert isinstance(v, list)
assert len(v) == len(value)
def test__set_leverage_binance(mocker, default_conf):

View File

@@ -13,6 +13,7 @@ import pytest
from freqtrade.enums import CandleType
from freqtrade.exchange import timeframe_to_minutes, timeframe_to_prev_date
from freqtrade.exchange.exchange import timeframe_to_msecs
from freqtrade.resolvers.exchange_resolver import ExchangeResolver
from tests.conftest import get_default_conf_usdt
@@ -135,6 +136,7 @@ def exchange_futures(request, exchange_conf, class_mocker):
class_mocker.patch(
'freqtrade.exchange.binance.Binance.fill_leverage_tiers')
class_mocker.patch('freqtrade.exchange.exchange.Exchange.fetch_trading_fees')
class_mocker.patch('freqtrade.exchange.okx.Okx.additional_exchange_init')
exchange = ExchangeResolver.load_exchange(request.param, exchange_conf, validate=True)
yield exchange, request.param
@@ -151,6 +153,25 @@ class TestCCXTExchange():
assert isinstance(markets[pair], dict)
assert exchange.market_is_spot(markets[pair])
def test_has_validations(self, exchange):
exchange, exchangename = exchange
exchange.validate_ordertypes({
'entry': 'limit',
'exit': 'limit',
'stoploss': 'limit',
})
if exchangename == 'gateio':
# gateio doesn't have market orders on spot
return
exchange.validate_ordertypes({
'entry': 'market',
'exit': 'market',
'stoploss': 'market',
})
def test_load_markets_futures(self, exchange_futures):
exchange, exchangename = exchange_futures
if not exchange:
@@ -197,8 +218,13 @@ class TestCCXTExchange():
l2 = exchange.fetch_l2_order_book(pair)
assert 'asks' in l2
assert 'bids' in l2
assert len(l2['asks']) >= 1
assert len(l2['bids']) >= 1
l2_limit_range = exchange._ft_has['l2_limit_range']
l2_limit_range_required = exchange._ft_has['l2_limit_range_required']
if exchangename == 'gateio':
# TODO: Gateio is unstable here at the moment, ignoring the limit partially.
return
for val in [1, 2, 5, 25, 100]:
l2 = exchange.fetch_l2_order_book(pair, val)
if not l2_limit_range or val in l2_limit_range:
@@ -218,7 +244,7 @@ class TestCCXTExchange():
assert len(l2['asks']) == next_limit
assert len(l2['asks']) == next_limit
def test_fetch_ohlcv(self, exchange):
def test_ccxt_fetch_ohlcv(self, exchange):
exchange, exchangename = exchange
pair = EXCHANGES[exchangename]['pair']
timeframe = EXCHANGES[exchangename]['timeframe']
@@ -230,11 +256,44 @@ class TestCCXTExchange():
assert len(ohlcv[pair_tf]) == len(exchange.klines(pair_tf))
# assert len(exchange.klines(pair_tf)) > 200
# Assume 90% uptime ...
assert len(exchange.klines(pair_tf)) > exchange.ohlcv_candle_limit(timeframe) * 0.90
assert len(exchange.klines(pair_tf)) > exchange.ohlcv_candle_limit(
timeframe, CandleType.SPOT) * 0.90
# Check if last-timeframe is within the last 2 intervals
now = datetime.now(timezone.utc) - timedelta(minutes=(timeframe_to_minutes(timeframe) * 2))
assert exchange.klines(pair_tf).iloc[-1]['date'] >= timeframe_to_prev_date(timeframe, now)
def test_ccxt__async_get_candle_history(self, exchange):
exchange, exchangename = exchange
# For some weired reason, this test returns random lengths for bittrex.
if not exchange._ft_has['ohlcv_has_history'] or exchangename == 'bittrex':
return
pair = EXCHANGES[exchangename]['pair']
timeframe = EXCHANGES[exchangename]['timeframe']
candle_type = CandleType.SPOT
timeframe_ms = timeframe_to_msecs(timeframe)
now = timeframe_to_prev_date(
timeframe, datetime.now(timezone.utc))
for offset in (360, 120, 30, 10, 5, 2):
since = now - timedelta(days=offset)
since_ms = int(since.timestamp() * 1000)
res = exchange.loop.run_until_complete(exchange._async_get_candle_history(
pair=pair,
timeframe=timeframe,
since_ms=since_ms,
candle_type=candle_type
)
)
assert res
assert res[0] == pair
assert res[1] == timeframe
assert res[2] == candle_type
candles = res[3]
candle_count = exchange.ohlcv_candle_limit(timeframe, candle_type, since_ms) * 0.9
candle_count1 = (now.timestamp() * 1000 - since_ms) // timeframe_ms
assert len(candles) >= min(candle_count, candle_count1)
assert candles[0][0] == since_ms or (since_ms + timeframe_ms)
def test_ccxt_fetch_funding_rate_history(self, exchange_futures):
exchange, exchangename = exchange_futures
if not exchange:

View File

@@ -0,0 +1,75 @@
from ccxt import Precise
ws = Precise('-1.123e-6')
ws = Precise('-1.123e-6')
xs = Precise('0.00000002')
ys = Precise('69696900000')
zs = Precise('0')
def test_precise():
assert ys * xs == '1393.938'
assert xs * ys == '1393.938'
assert ys + xs == '69696900000.00000002'
assert xs + ys == '69696900000.00000002'
assert xs - ys == '-69696899999.99999998'
assert ys - xs == '69696899999.99999998'
assert xs / ys == '0'
assert ys / xs == '3484845000000000000'
assert ws * xs == '-0.00000000000002246'
assert xs * ws == '-0.00000000000002246'
assert ws + xs == '-0.000001103'
assert xs + ws == '-0.000001103'
assert xs - ws == '0.000001143'
assert ws - xs == '-0.000001143'
assert xs / ws == '-0.017809439002671415'
assert ws / xs == '-56.15'
assert zs * ws == '0'
assert zs * xs == '0'
assert zs * ys == '0'
assert ws * zs == '0'
assert xs * zs == '0'
assert ys * zs == '0'
assert zs + ws == '-0.000001123'
assert zs + xs == '0.00000002'
assert zs + ys == '69696900000'
assert ws + zs == '-0.000001123'
assert xs + zs == '0.00000002'
assert ys + zs == '69696900000'
assert abs(Precise('-500.1')) == '500.1'
assert abs(Precise('213')) == '213'
assert abs(Precise('-500.1')) == '500.1'
assert -Precise('213') == '-213'
assert Precise('10.1') % Precise('0.5') == '0.1'
assert Precise('5550') % Precise('120') == '30'
assert Precise('-0.0') == Precise('0')
assert Precise('5.534000') == Precise('5.5340')
assert min(Precise('-3.1415'), Precise('-2')) == '-3.1415'
assert max(Precise('3.1415'), Precise('-2')) == '3.1415'
assert Precise('2') > Precise('1.2345')
assert not Precise('-3.1415') > Precise('-2')
assert not Precise('3.1415') > Precise('3.1415')
assert Precise.string_gt('3.14150000000000000000001', '3.1415')
assert Precise('3.1415') >= Precise('3.1415')
assert Precise('3.14150000000000000000001') >= Precise('3.1415')
assert not Precise('3.1415') < Precise('3.1415')
assert Precise('3.1415') <= Precise('3.1415')
assert Precise('3.1415') <= Precise('3.14150000000000000000001')

View File

@@ -17,9 +17,9 @@ from freqtrade.exceptions import (DDosProtection, DependencyException, InvalidOr
from freqtrade.exchange import Binance, Bittrex, Exchange, Kraken
from freqtrade.exchange.common import (API_FETCH_ORDER_RETRY_COUNT, API_RETRY_COUNT,
calculate_backoff, remove_credentials)
from freqtrade.exchange.exchange import (market_is_active, timeframe_to_minutes, timeframe_to_msecs,
timeframe_to_next_date, timeframe_to_prev_date,
timeframe_to_seconds)
from freqtrade.exchange.exchange import (date_minus_candles, market_is_active, timeframe_to_minutes,
timeframe_to_msecs, timeframe_to_next_date,
timeframe_to_prev_date, timeframe_to_seconds)
from freqtrade.resolvers.exchange_resolver import ExchangeResolver
from tests.conftest import get_mock_coro, get_patched_exchange, log_has, log_has_re, num_log_has_re
@@ -99,6 +99,8 @@ def test_remove_credentials(default_conf, caplog) -> None:
def test_init_ccxt_kwargs(default_conf, mocker, caplog):
mocker.patch('freqtrade.exchange.Exchange._load_markets', MagicMock(return_value={}))
mocker.patch('freqtrade.exchange.Exchange.validate_stakecurrency')
aei_mock = mocker.patch('freqtrade.exchange.Exchange.additional_exchange_init')
caplog.set_level(logging.INFO)
conf = copy.deepcopy(default_conf)
conf['exchange']['ccxt_async_config'] = {'aiohttp_trust_env': True, 'asyncio_loop': True}
@@ -108,6 +110,7 @@ def test_init_ccxt_kwargs(default_conf, mocker, caplog):
caplog)
assert ex._api_async.aiohttp_trust_env
assert not ex._api.aiohttp_trust_env
assert aei_mock.call_count == 1
# Reset logging and config
caplog.clear()
@@ -302,6 +305,7 @@ def test_amount_to_precision(
(234.53, 4, 0.5, 235.0),
(0.891534, 4, 0.0001, 0.8916),
(64968.89, 4, 0.01, 64968.89),
(0.000000003483, 4, 1e-12, 0.000000003483),
])
def test_price_to_precision(default_conf, mocker, price, precision_mode, precision, expected):
@@ -936,6 +940,7 @@ def test_validate_timeframes_emulated_ohlcvi_2(default_conf, mocker):
def test_validate_timeframes_not_in_config(default_conf, mocker):
# TODO: this test does not assert ...
del default_conf["timeframe"]
api_mock = MagicMock()
id_mock = PropertyMock(return_value='test_exchange')
@@ -951,6 +956,7 @@ def test_validate_timeframes_not_in_config(default_conf, mocker):
mocker.patch('freqtrade.exchange.Exchange.validate_pairs')
mocker.patch('freqtrade.exchange.Exchange.validate_stakecurrency')
mocker.patch('freqtrade.exchange.Exchange.validate_pricing')
mocker.patch('freqtrade.exchange.Exchange.validate_required_startup_candles')
Exchange(default_conf)
@@ -1081,6 +1087,13 @@ def test_validate_required_startup_candles(default_conf, mocker, caplog):
with pytest.raises(OperationalException, match=r'This strategy requires 6000.*'):
Exchange(default_conf)
# Emulate kraken mode
ex._ft_has['ohlcv_has_history'] = False
with pytest.raises(OperationalException,
match=r'This strategy requires 2500.*, '
r'which is more than the amount.*'):
ex.validate_required_startup_candles(2500, '5m')
def test_exchange_has(default_conf, mocker):
exchange = get_patched_exchange(mocker, default_conf)
@@ -1122,7 +1135,7 @@ def test_create_dry_run_order(default_conf, mocker, side, exchange_name, leverag
assert order["symbol"] == "ETH/BTC"
assert order["amount"] == 1
assert order["leverage"] == leverage
assert order["cost"] == 1 * 200 / leverage
assert order["cost"] == 1 * 200
@pytest.mark.parametrize('side,is_short,order_reason', [
@@ -1913,7 +1926,7 @@ def test_get_historic_ohlcv(default_conf, mocker, caplog, exchange_name, candle_
exchange._async_get_candle_history = Mock(wraps=mock_candle_hist)
# one_call calculation * 1.8 should do 2 calls
since = 5 * 60 * exchange.ohlcv_candle_limit('5m') * 1.8
since = 5 * 60 * exchange.ohlcv_candle_limit('5m', CandleType.SPOT) * 1.8
ret = exchange.get_historic_ohlcv(
pair,
"5m",
@@ -1979,7 +1992,7 @@ def test_get_historic_ohlcv_as_df(default_conf, mocker, exchange_name, candle_ty
exchange._async_get_candle_history = Mock(wraps=mock_candle_hist)
# one_call calculation * 1.8 should do 2 calls
since = 5 * 60 * exchange.ohlcv_candle_limit('5m') * 1.8
since = 5 * 60 * exchange.ohlcv_candle_limit('5m', CandleType.SPOT) * 1.8
ret = exchange.get_historic_ohlcv_as_df(
pair,
"5m",
@@ -2033,7 +2046,7 @@ async def test__async_get_historic_ohlcv(default_conf, mocker, caplog, exchange_
)
# Required candles
candles = (end_ts - start_ts) / 300_000
exp = candles // exchange.ohlcv_candle_limit('5m') + 1
exp = candles // exchange.ohlcv_candle_limit('5m', CandleType.SPOT) + 1
# Depending on the exchange, this should be called between 1 and 6 times.
assert exchange._api_async.fetch_ohlcv.call_count == exp
@@ -2183,6 +2196,8 @@ async def test__async_get_candle_history(default_conf, mocker, caplog, exchange_
@pytest.mark.asyncio
async def test__async_kucoin_get_candle_history(default_conf, mocker, caplog):
from freqtrade.exchange.common import _reset_logging_mixin
_reset_logging_mixin()
caplog.set_level(logging.INFO)
api_mock = MagicMock()
api_mock.fetch_ohlcv = MagicMock(side_effect=ccxt.DDoSProtection(
@@ -2836,6 +2851,7 @@ def test_get_historic_trades_notsupported(default_conf, mocker, caplog, exchange
until=trades_history[-1][0])
@pytest.mark.usefixtures("init_persistence")
@pytest.mark.parametrize("exchange_name", EXCHANGES)
def test_cancel_order_dry_run(default_conf, mocker, exchange_name):
default_conf['dry_run'] = True
@@ -3001,6 +3017,7 @@ def test_cancel_stoploss_order_with_result(default_conf, mocker, exchange_name):
exchange.cancel_stoploss_order_with_result(order_id='_', pair='TKN/BTC', amount=123)
@pytest.mark.usefixtures("init_persistence")
@pytest.mark.parametrize("exchange_name", EXCHANGES)
def test_fetch_order(default_conf, mocker, exchange_name, caplog):
default_conf['dry_run'] = True
@@ -3053,6 +3070,7 @@ def test_fetch_order(default_conf, mocker, exchange_name, caplog):
order_id='_', pair='TKN/BTC')
@pytest.mark.usefixtures("init_persistence")
@pytest.mark.parametrize("exchange_name", EXCHANGES)
def test_fetch_stoploss_order(default_conf, mocker, exchange_name):
# Don't test FTX here - that needs a separate test
@@ -3380,7 +3398,7 @@ def test_ohlcv_candle_limit(default_conf, mocker, exchange_name):
expected = exchange._ft_has['ohlcv_candle_limit_per_timeframe'][timeframe]
# This should only run for bittrex
assert exchange_name == 'bittrex'
assert exchange.ohlcv_candle_limit(timeframe) == expected
assert exchange.ohlcv_candle_limit(timeframe, CandleType.SPOT) == expected
def test_timeframe_to_minutes():
@@ -3462,6 +3480,17 @@ def test_timeframe_to_next_date():
assert timeframe_to_next_date("5m", date) == date + timedelta(minutes=5)
def test_date_minus_candles():
date = datetime(2019, 8, 12, 13, 25, 0, tzinfo=timezone.utc)
assert date_minus_candles("5m", 3, date) == date - timedelta(minutes=15)
assert date_minus_candles("5m", 5, date) == date - timedelta(minutes=25)
assert date_minus_candles("1m", 6, date) == date - timedelta(minutes=6)
assert date_minus_candles("1h", 3, date) == date - timedelta(hours=3, minutes=25)
assert date_minus_candles("1h", 3) == timeframe_to_prev_date('1h') - timedelta(hours=3)
@pytest.mark.parametrize(
"market_symbol,base,quote,exchange,spot,margin,futures,trademode,add_dict,expected_result",
[
@@ -3556,7 +3585,7 @@ def test_order_has_fee(order, expected) -> None:
def test_extract_cost_curr_rate(mocker, default_conf, order, expected) -> None:
mocker.patch('freqtrade.exchange.Exchange.calculate_fee_rate', MagicMock(return_value=0.01))
ex = get_patched_exchange(mocker, default_conf)
assert ex.extract_cost_curr_rate(order) == expected
assert ex.extract_cost_curr_rate(order['fee'], order['symbol'], cost=20, amount=1) == expected
@pytest.mark.parametrize("order,unknown_fee_rate,expected", [
@@ -3594,6 +3623,9 @@ def test_extract_cost_curr_rate(mocker, default_conf, order, expected) -> None:
'fee': {'currency': 'POINT', 'cost': 2.0, 'rate': None}}, 1, 4.0),
({'symbol': 'POINT/BTC', 'amount': 0.04, 'cost': 0.5,
'fee': {'currency': 'POINT', 'cost': 2.0, 'rate': None}}, 2, 8.0),
# Missing currency
({'symbol': 'ETH/BTC', 'amount': 0.04, 'cost': 0.05,
'fee': {'currency': None, 'cost': 0.005}}, None, None),
])
def test_calculate_fee_rate(mocker, default_conf, order, expected, unknown_fee_rate) -> None:
mocker.patch('freqtrade.exchange.Exchange.fetch_ticker', return_value={'last': 0.081})
@@ -3602,7 +3634,8 @@ def test_calculate_fee_rate(mocker, default_conf, order, expected, unknown_fee_r
ex = get_patched_exchange(mocker, default_conf)
assert ex.calculate_fee_rate(order) == expected
assert ex.calculate_fee_rate(order['fee'], order['symbol'],
cost=order['cost'], amount=order['amount']) == expected
@pytest.mark.parametrize('retrycount,max_retries,expected', [
@@ -3831,6 +3864,7 @@ def test_validate_trading_mode_and_margin_mode(
("bibox", "spot", {"has": {"fetchCurrencies": False}}),
("bibox", "margin", {"has": {"fetchCurrencies": False}, "options": {"defaultType": "margin"}}),
("bibox", "futures", {"has": {"fetchCurrencies": False}, "options": {"defaultType": "swap"}}),
("bybit", "spot", {"options": {"defaultType": "spot"}}),
("bybit", "futures", {"options": {"defaultType": "linear"}}),
("ftx", "futures", {"options": {"defaultType": "swap"}}),
("gateio", "futures", {"options": {"defaultType": "swap"}}),
@@ -3929,6 +3963,70 @@ def test_calculate_funding_fees(
) == kraken_fee
@pytest.mark.parametrize(
'mark_price,funding_rate,futures_funding_rate', [
(1000, 0.001, None),
(1000, 0.001, 0.01),
(1000, 0.001, 0.0),
(1000, 0.001, -0.01),
])
def test_combine_funding_and_mark(
default_conf,
mocker,
funding_rate,
mark_price,
futures_funding_rate,
):
exchange = get_patched_exchange(mocker, default_conf)
prior2_date = timeframe_to_prev_date('1h', datetime.now(timezone.utc) - timedelta(hours=2))
prior_date = timeframe_to_prev_date('1h', datetime.now(timezone.utc) - timedelta(hours=1))
trade_date = timeframe_to_prev_date('1h', datetime.now(timezone.utc))
funding_rates = DataFrame([
{'date': prior2_date, 'open': funding_rate},
{'date': prior_date, 'open': funding_rate},
{'date': trade_date, 'open': funding_rate},
])
mark_rates = DataFrame([
{'date': prior2_date, 'open': mark_price},
{'date': prior_date, 'open': mark_price},
{'date': trade_date, 'open': mark_price},
])
df = exchange.combine_funding_and_mark(funding_rates, mark_rates, futures_funding_rate)
assert 'open_mark' in df.columns
assert 'open_fund' in df.columns
assert len(df) == 3
funding_rates = DataFrame([
{'date': trade_date, 'open': funding_rate},
])
mark_rates = DataFrame([
{'date': prior2_date, 'open': mark_price},
{'date': prior_date, 'open': mark_price},
{'date': trade_date, 'open': mark_price},
])
df = exchange.combine_funding_and_mark(funding_rates, mark_rates, futures_funding_rate)
if futures_funding_rate is not None:
assert len(df) == 3
assert df.iloc[0]['open_fund'] == futures_funding_rate
assert df.iloc[1]['open_fund'] == futures_funding_rate
assert df.iloc[2]['open_fund'] == funding_rate
else:
assert len(df) == 1
# Empty funding rates
funding_rates = DataFrame([], columns=['date', 'open'])
df = exchange.combine_funding_and_mark(funding_rates, mark_rates, futures_funding_rate)
if futures_funding_rate is not None:
assert len(df) == 3
assert df.iloc[0]['open_fund'] == futures_funding_rate
assert df.iloc[1]['open_fund'] == futures_funding_rate
assert df.iloc[2]['open_fund'] == futures_funding_rate
else:
assert len(df) == 0
def test_get_or_calculate_liquidation_price(mocker, default_conf):
api_mock = MagicMock()
@@ -4799,8 +4897,10 @@ def test__get_params(mocker, default_conf, exchange_name):
if exchange_name == 'okx':
params2['tdMode'] = 'isolated'
params2['posSide'] = 'net'
assert exchange._get_params(
side="buy",
ordertype='market',
reduceOnly=False,
time_in_force='gtc',
@@ -4808,6 +4908,7 @@ def test__get_params(mocker, default_conf, exchange_name):
) == params1
assert exchange._get_params(
side="buy",
ordertype='market',
reduceOnly=False,
time_in_force='ioc',
@@ -4815,6 +4916,7 @@ def test__get_params(mocker, default_conf, exchange_name):
) == params1
assert exchange._get_params(
side="buy",
ordertype='limit',
reduceOnly=False,
time_in_force='gtc',
@@ -4827,6 +4929,7 @@ def test__get_params(mocker, default_conf, exchange_name):
exchange._params = {'test': True}
assert exchange._get_params(
side="buy",
ordertype='limit',
reduceOnly=True,
time_in_force='ioc',

View File

@@ -174,6 +174,7 @@ def test_stoploss_adjust_ftx(mocker, default_conf, sl1, sl2, sl3, side):
assert not exchange.stoploss_adjust(sl3, order, side=side)
@pytest.mark.usefixtures("init_persistence")
def test_fetch_stoploss_order_ftx(default_conf, mocker, limit_sell_order, limit_buy_order):
default_conf['dry_run'] = True
order = MagicMock()

View File

@@ -33,7 +33,14 @@ def test_validate_order_types_gateio(default_conf, mocker):
match=r'Exchange .* does not support market orders.'):
ExchangeResolver.load_exchange('gateio', default_conf, True)
# market-orders supported on futures markets.
default_conf['trading_mode'] = 'futures'
default_conf['margin_mode'] = 'isolated'
ex = ExchangeResolver.load_exchange('gateio', default_conf, True)
assert ex
@pytest.mark.usefixtures("init_persistence")
def test_fetch_stoploss_order_gateio(default_conf, mocker):
exchange = get_patched_exchange(mocker, default_conf, id='gateio')
@@ -46,6 +53,25 @@ def test_fetch_stoploss_order_gateio(default_conf, mocker):
assert fetch_order_mock.call_args_list[0][1]['pair'] == 'ETH/BTC'
assert fetch_order_mock.call_args_list[0][1]['params'] == {'stop': True}
default_conf['trading_mode'] = 'futures'
default_conf['margin_mode'] = 'isolated'
exchange = get_patched_exchange(mocker, default_conf, id='gateio')
exchange.fetch_order = MagicMock(return_value={
'status': 'closed',
'id': '1234',
'stopPrice': 5.62,
'info': {
'trade_id': '222555'
}
})
exchange.fetch_stoploss_order('1234', 'ETH/BTC')
assert exchange.fetch_order.call_count == 2
assert exchange.fetch_order.call_args_list[0][1]['order_id'] == '1234'
assert exchange.fetch_order.call_args_list[1][1]['order_id'] == '222555'
def test_cancel_stoploss_order_gateio(default_conf, mocker):
exchange = get_patched_exchange(mocker, default_conf, id='gateio')

View File

@@ -123,5 +123,5 @@ def test_stoploss_adjust_kucoin(mocker, default_conf):
assert exchange.stoploss_adjust(1501, order, 'sell')
assert not exchange.stoploss_adjust(1499, order, 'sell')
# Test with invalid order case
order['info']['stop'] = None
assert not exchange.stoploss_adjust(1501, order, 'sell')
order['stopPrice'] = None
assert exchange.stoploss_adjust(1501, order, 'sell')

View File

@@ -1,7 +1,40 @@
from datetime import datetime, timedelta, timezone
from unittest.mock import MagicMock, PropertyMock
import pytest
from freqtrade.enums import MarginMode, TradingMode
from tests.conftest import get_patched_exchange
from freqtrade.enums.candletype import CandleType
from freqtrade.exchange.exchange import timeframe_to_minutes
from tests.conftest import get_mock_coro, get_patched_exchange
from tests.exchange.test_exchange import ccxt_exceptionhandlers
def test_okx_ohlcv_candle_limit(default_conf, mocker):
exchange = get_patched_exchange(mocker, default_conf, id='okx')
timeframes = ('1m', '5m', '1h')
start_time = int(datetime(2021, 1, 1, tzinfo=timezone.utc).timestamp() * 1000)
for timeframe in timeframes:
assert exchange.ohlcv_candle_limit(timeframe, CandleType.SPOT) == 300
assert exchange.ohlcv_candle_limit(timeframe, CandleType.FUTURES) == 300
assert exchange.ohlcv_candle_limit(timeframe, CandleType.MARK) == 100
assert exchange.ohlcv_candle_limit(timeframe, CandleType.FUNDING_RATE) == 100
assert exchange.ohlcv_candle_limit(timeframe, CandleType.SPOT, start_time) == 100
assert exchange.ohlcv_candle_limit(timeframe, CandleType.FUTURES, start_time) == 100
assert exchange.ohlcv_candle_limit(timeframe, CandleType.MARK, start_time) == 100
assert exchange.ohlcv_candle_limit(timeframe, CandleType.FUNDING_RATE, start_time) == 100
one_call = int((datetime.now(timezone.utc) - timedelta(
minutes=290 * timeframe_to_minutes(timeframe))).timestamp() * 1000)
assert exchange.ohlcv_candle_limit(timeframe, CandleType.SPOT, one_call) == 300
assert exchange.ohlcv_candle_limit(timeframe, CandleType.FUTURES, one_call) == 300
one_call = int((datetime.now(timezone.utc) - timedelta(
minutes=320 * timeframe_to_minutes(timeframe))).timestamp() * 1000)
assert exchange.ohlcv_candle_limit(timeframe, CandleType.SPOT, one_call) == 100
assert exchange.ohlcv_candle_limit(timeframe, CandleType.FUTURES, one_call) == 100
def test_get_maintenance_ratio_and_amt_okx(
@@ -170,13 +203,77 @@ def test_get_max_pair_stake_amount_okx(default_conf, mocker, leverage_tiers):
assert exchange.get_max_pair_stake_amount('TTT/USDT', 1.0) == float('inf') # Not in tiers
@pytest.mark.parametrize('mode,side,reduceonly,result', [
('net', 'buy', False, 'net'),
('net', 'sell', True, 'net'),
('net', 'sell', False, 'net'),
('net', 'buy', True, 'net'),
('longshort', 'buy', False, 'long'),
('longshort', 'sell', True, 'long'),
('longshort', 'sell', False, 'short'),
('longshort', 'buy', True, 'short'),
])
def test__get_posSide(default_conf, mocker, mode, side, reduceonly, result):
exchange = get_patched_exchange(mocker, default_conf, id="okx")
exchange.net_only = mode == 'net'
assert exchange._get_posSide(side, reduceonly) == result
def test_additional_exchange_init_okx(default_conf, mocker):
api_mock = MagicMock()
api_mock.fetch_accounts = MagicMock(return_value=[
{'id': '2555',
'type': '2',
'currency': None,
'info': {'acctLv': '2',
'autoLoan': False,
'ctIsoMode': 'automatic',
'greeksType': 'PA',
'level': 'Lv1',
'levelTmp': '',
'mgnIsoMode': 'automatic',
'posMode': 'long_short_mode',
'uid': '2555'}}])
default_conf['dry_run'] = False
exchange = get_patched_exchange(mocker, default_conf, id="okx", api_mock=api_mock)
assert api_mock.fetch_accounts.call_count == 0
exchange.trading_mode = TradingMode.FUTURES
# Default to netOnly
assert exchange.net_only
exchange.additional_exchange_init()
assert api_mock.fetch_accounts.call_count == 1
assert not exchange.net_only
api_mock.fetch_accounts = MagicMock(return_value=[
{'id': '2555',
'type': '2',
'currency': None,
'info': {'acctLv': '2',
'autoLoan': False,
'ctIsoMode': 'automatic',
'greeksType': 'PA',
'level': 'Lv1',
'levelTmp': '',
'mgnIsoMode': 'automatic',
'posMode': 'net_mode',
'uid': '2555'}}])
exchange.additional_exchange_init()
assert api_mock.fetch_accounts.call_count == 1
assert exchange.net_only
default_conf['trading_mode'] = 'futures'
default_conf['margin_mode'] = 'isolated'
ccxt_exceptionhandlers(mocker, default_conf, api_mock, 'okx',
"additional_exchange_init", "fetch_accounts")
def test_load_leverage_tiers_okx(default_conf, mocker, markets):
api_mock = MagicMock()
type(api_mock).has = PropertyMock(return_value={
'fetchLeverageTiers': False,
'fetchMarketLeverageTiers': True,
})
api_mock.fetch_market_leverage_tiers = MagicMock(side_effect=[
api_mock.fetch_market_leverage_tiers = get_mock_coro(side_effect=[
[
{
'tier': 1,

View File

@@ -40,6 +40,8 @@ class BTContainer(NamedTuple):
custom_entry_price: Optional[float] = None
custom_exit_price: Optional[float] = None
leverage: float = 1.0
timeout: Optional[int] = None
adjust_entry_price: Optional[float] = None
def _get_frame_time_from_offset(offset):

View File

@@ -18,11 +18,11 @@ def hyperopt_conf(default_conf):
'runmode': RunMode.HYPEROPT,
'strategy': 'HyperoptableStrategy',
'hyperopt_loss': 'ShortTradeDurHyperOptLoss',
'hyperopt_path': str(Path(__file__).parent / 'hyperopts'),
'epochs': 1,
'timerange': None,
'spaces': ['default'],
'hyperopt_jobs': 1,
'hyperopt_path': str(Path(__file__).parent / 'hyperopts'),
'epochs': 1,
'timerange': None,
'spaces': ['default'],
'hyperopt_jobs': 1,
'hyperopt_min_trades': 1,
})
return hyperconf

View File

@@ -7,6 +7,7 @@ import pytest
from freqtrade.data.history import get_timerange
from freqtrade.enums import ExitType
from freqtrade.optimize.backtesting import Backtesting
from freqtrade.persistence.trade_model import LocalTrade
from tests.conftest import patch_exchange
from tests.optimize import (BTContainer, BTrade, _build_backtest_dataframe,
_get_frame_time_from_offset, tests_timeframe)
@@ -522,7 +523,7 @@ tc32 = BTContainer(data=[
trailing_stop_positive=0.03,
trades=[
BTrade(exit_reason=ExitType.TRAILING_STOP_LOSS, open_tick=1, close_tick=3, is_short=True)
]
]
)
# Test 33: trailing_stop should be triggered by low of next candle, without adjusting stoploss using
@@ -662,7 +663,7 @@ tc41 = BTContainer(data=[
custom_entry_price=4000,
trades=[
BTrade(exit_reason=ExitType.STOP_LOSS, open_tick=1, close_tick=1, is_short=True)
]
]
)
# Test 42: Custom-entry-price around candle low
@@ -754,6 +755,91 @@ tc47 = BTContainer(data=[
trades=[]
)
# Test 48: Custom-entry-price below all candles - readjust order
tc48 = BTContainer(data=[
# D O H L C V EL XL ES Xs BT
[0, 5000, 5050, 4950, 5000, 6172, 1, 0],
[1, 5000, 5500, 4951, 5000, 6172, 0, 0], # timeout
[2, 4900, 5250, 4500, 5100, 6172, 0, 0], # Order readjust
[3, 5100, 5100, 4650, 4750, 6172, 0, 1],
[4, 4750, 4950, 4350, 4750, 6172, 0, 0]],
stop_loss=-0.2, roi={"0": 0.10}, profit_perc=-0.087,
use_exit_signal=True, timeout=1000,
custom_entry_price=4200, adjust_entry_price=5200,
trades=[BTrade(exit_reason=ExitType.EXIT_SIGNAL, open_tick=1, close_tick=4, is_short=False)]
)
# Test 49: Custom-entry-price short above all candles - readjust order
tc49 = BTContainer(data=[
# D O H L C V EL XL ES Xs BT
[0, 5000, 5050, 4950, 5000, 6172, 0, 0, 1, 0],
[1, 5000, 5200, 4951, 5000, 6172, 0, 0, 0, 0], # timeout
[2, 4900, 5250, 4900, 5100, 6172, 0, 0, 0, 0], # Order readjust
[3, 5100, 5100, 4650, 4750, 6172, 0, 0, 0, 1],
[4, 4750, 4950, 4350, 4750, 6172, 0, 0, 0, 0]],
stop_loss=-0.2, roi={"0": 0.10}, profit_perc=0.05,
use_exit_signal=True, timeout=1000,
custom_entry_price=5300, adjust_entry_price=5000,
trades=[BTrade(exit_reason=ExitType.EXIT_SIGNAL, open_tick=1, close_tick=4, is_short=True)]
)
# Test 50: Custom-entry-price below all candles - readjust order cancels order
tc50 = BTContainer(data=[
# D O H L C V EL XL ES Xs BT
[0, 5000, 5050, 4950, 5000, 6172, 1, 0], # Enter long - place order
[1, 5000, 5500, 4951, 5000, 6172, 0, 0], # Order readjust - cancel order
[2, 4900, 5250, 4500, 5100, 6172, 0, 0],
[3, 5100, 5100, 4650, 4750, 6172, 0, 0],
[4, 4750, 4950, 4350, 4750, 6172, 0, 0]],
stop_loss=-0.01, roi={"0": 0.10}, profit_perc=0.0,
use_exit_signal=True, timeout=1000,
custom_entry_price=4200, adjust_entry_price=None,
trades=[]
)
# Test 51: Custom-entry-price below all candles - readjust order leaves order in place and timeout.
tc51 = BTContainer(data=[
# D O H L C V EL XL ES Xs BT
[0, 5000, 5050, 4950, 5000, 6172, 1, 0], # Enter long - place order
[1, 5000, 5500, 4951, 5000, 6172, 0, 0], # Order readjust - replace order
[2, 4900, 5250, 4500, 5100, 6172, 0, 0], # Order readjust - maintain order
[3, 5100, 5100, 4650, 4750, 6172, 0, 0], # Timeout
[4, 4750, 4950, 4350, 4750, 6172, 0, 0]],
stop_loss=-0.01, roi={"0": 0.10}, profit_perc=0.0,
use_exit_signal=True, timeout=60,
custom_entry_price=4200, adjust_entry_price=4100,
trades=[]
)
# Test 52: Custom-entry-price below all candles - readjust order - stoploss
tc52 = BTContainer(data=[
# D O H L C V EL XL ES Xs BT
[0, 5000, 5050, 4950, 5000, 6172, 1, 0],
[1, 5000, 5500, 4951, 5000, 6172, 0, 0], # enter trade (signal on last candle)
[2, 4900, 5250, 4500, 5100, 6172, 0, 0], # Order readjust
[3, 5100, 5100, 4650, 4750, 6172, 0, 0], # stoploss hit?
[4, 4750, 4950, 4350, 4750, 6172, 0, 0]],
stop_loss=-0.03, roi={"0": 0.10}, profit_perc=-0.03,
use_exit_signal=True, timeout=1000,
custom_entry_price=4200, adjust_entry_price=5200,
trades=[BTrade(exit_reason=ExitType.STOP_LOSS, open_tick=1, close_tick=2, is_short=False)]
)
# Test 53: Custom-entry-price short above all candles - readjust order - stoploss
tc53 = BTContainer(data=[
# D O H L C V EL XL ES Xs BT
[0, 5000, 5050, 4950, 5000, 6172, 0, 0, 1, 0],
[1, 5000, 5200, 4951, 5000, 6172, 0, 0, 0, 0], # enter trade (signal on last candle)
[2, 4900, 5250, 4900, 5100, 6172, 0, 0, 0, 0], # Order readjust
[3, 5100, 5100, 4650, 4750, 6172, 0, 0, 0, 1], # stoploss hit?
[4, 4750, 4950, 4350, 4750, 6172, 0, 0, 0, 0]],
stop_loss=-0.03, roi={"0": 0.10}, profit_perc=-0.03,
use_exit_signal=True, timeout=1000,
custom_entry_price=5300, adjust_entry_price=5000,
trades=[BTrade(exit_reason=ExitType.STOP_LOSS, open_tick=1, close_tick=2, is_short=True)]
)
TESTS = [
tc0,
@@ -804,6 +890,12 @@ TESTS = [
tc45,
tc46,
tc47,
tc48,
tc49,
tc50,
tc51,
tc52,
tc53,
]
@@ -817,6 +909,11 @@ def test_backtest_results(default_conf, fee, mocker, caplog, data: BTContainer)
default_conf["timeframe"] = tests_timeframe
default_conf["trailing_stop"] = data.trailing_stop
default_conf["trailing_only_offset_is_reached"] = data.trailing_only_offset_is_reached
if data.timeout:
default_conf['unfilledtimeout'].update({
'entry': data.timeout,
'exit': data.timeout,
})
# Only add this to configuration If it's necessary
if data.trailing_stop_positive is not None:
default_conf["trailing_stop_positive"] = data.trailing_stop_positive
@@ -840,6 +937,8 @@ def test_backtest_results(default_conf, fee, mocker, caplog, data: BTContainer)
backtesting.strategy.custom_entry_price = MagicMock(return_value=data.custom_entry_price)
if data.custom_exit_price:
backtesting.strategy.custom_exit_price = MagicMock(return_value=data.custom_exit_price)
backtesting.strategy.adjust_entry_price = MagicMock(return_value=data.adjust_entry_price)
backtesting.strategy.use_custom_stoploss = data.use_custom_stoploss
backtesting.strategy.leverage = lambda **kwargs: data.leverage
caplog.set_level(logging.DEBUG)
@@ -866,3 +965,7 @@ def test_backtest_results(default_conf, fee, mocker, caplog, data: BTContainer)
assert res.open_date == _get_frame_time_from_offset(trade.open_tick)
assert res.close_date == _get_frame_time_from_offset(trade.close_tick)
assert res.is_short == trade.is_short
assert len(LocalTrade.trades) == len(data.trades)
assert len(LocalTrade.trades_open) == 0
backtesting.cleanup()
del backtesting

View File

@@ -795,10 +795,27 @@ def test_backtest_one(default_conf, fee, mocker, testdatadir) -> None:
'is_open': [False, False],
'enter_tag': [None, None],
"is_short": [False, False],
'open_timestamp': [1517251200000, 1517283000000],
'close_timestamp': [1517265300000, 1517285400000],
'orders': [
[
{'amount': 0.00957442, 'safe_price': 0.104445, 'ft_order_side': 'buy',
'order_filled_timestamp': 1517251200000, 'ft_is_entry': True},
{'amount': 0.00957442, 'safe_price': 0.10496853383458644, 'ft_order_side': 'sell',
'order_filled_timestamp': 1517265300000, 'ft_is_entry': False}
], [
{'amount': 0.0097064, 'safe_price': 0.10302485, 'ft_order_side': 'buy',
'order_filled_timestamp': 1517283000000, 'ft_is_entry': True},
{'amount': 0.0097064, 'safe_price': 0.10354126528822055, 'ft_order_side': 'sell',
'order_filled_timestamp': 1517285400000, 'ft_is_entry': False}
]
]
})
pd.testing.assert_frame_equal(results, expected)
assert 'orders' in results.columns
data_pair = processed[pair]
for _, t in results.iterrows():
assert len(t['orders']) == 2
ln = data_pair.loc[data_pair["date"] == t["open_date"]]
# Check open trade rate alignes to open rate
assert ln is not None
@@ -1168,6 +1185,9 @@ def test_backtest_start_multi_strat(default_conf, mocker, caplog, testdatadir):
'rejected_signals': 20,
'timedout_entry_orders': 0,
'timedout_exit_orders': 0,
'canceled_trade_entries': 0,
'canceled_entry_orders': 0,
'replaced_entry_orders': 0,
'final_balance': 1000,
})
mocker.patch('freqtrade.plugins.pairlistmanager.PairListManager.whitelist',
@@ -1280,6 +1300,9 @@ def test_backtest_start_multi_strat_nomock(default_conf, mocker, caplog, testdat
'rejected_signals': 20,
'timedout_entry_orders': 0,
'timedout_exit_orders': 0,
'canceled_trade_entries': 0,
'canceled_entry_orders': 0,
'replaced_entry_orders': 0,
'final_balance': 1000,
},
{
@@ -1289,6 +1312,9 @@ def test_backtest_start_multi_strat_nomock(default_conf, mocker, caplog, testdat
'rejected_signals': 20,
'timedout_entry_orders': 0,
'timedout_exit_orders': 0,
'canceled_trade_entries': 0,
'canceled_entry_orders': 0,
'replaced_entry_orders': 0,
'final_balance': 1000,
}
])
@@ -1431,6 +1457,9 @@ def test_backtest_start_nomock_futures(default_conf_usdt, mocker,
'rejected_signals': 20,
'timedout_entry_orders': 0,
'timedout_exit_orders': 0,
'canceled_trade_entries': 0,
'canceled_entry_orders': 0,
'replaced_entry_orders': 0,
'final_balance': 1000,
},
{
@@ -1440,6 +1469,9 @@ def test_backtest_start_nomock_futures(default_conf_usdt, mocker,
'rejected_signals': 20,
'timedout_entry_orders': 0,
'timedout_exit_orders': 0,
'canceled_trade_entries': 0,
'canceled_entry_orders': 0,
'replaced_entry_orders': 0,
'final_balance': 1000,
}
])
@@ -1534,6 +1566,9 @@ def test_backtest_start_multi_strat_nomock_detail(default_conf, mocker,
'rejected_signals': 20,
'timedout_entry_orders': 0,
'timedout_exit_orders': 0,
'canceled_trade_entries': 0,
'canceled_entry_orders': 0,
'replaced_entry_orders': 0,
'final_balance': 1000,
},
{
@@ -1543,6 +1578,9 @@ def test_backtest_start_multi_strat_nomock_detail(default_conf, mocker,
'rejected_signals': 20,
'timedout_entry_orders': 0,
'timedout_exit_orders': 0,
'canceled_trade_entries': 0,
'canceled_entry_orders': 0,
'replaced_entry_orders': 0,
'final_balance': 1000,
}
])
@@ -1606,6 +1644,9 @@ def test_backtest_start_multi_strat_caching(default_conf, mocker, caplog, testda
'rejected_signals': 20,
'timedout_entry_orders': 0,
'timedout_exit_orders': 0,
'canceled_trade_entries': 0,
'canceled_entry_orders': 0,
'replaced_entry_orders': 0,
'final_balance': 1000,
})
mocker.patch('freqtrade.plugins.pairlistmanager.PairListManager.whitelist',

View File

@@ -22,7 +22,7 @@ def test_backtest_position_adjustment(default_conf, fee, mocker, testdatadir) ->
default_conf.update({
"stake_amount": 100.0,
"dry_run_wallet": 1000.0,
"strategy": "StrategyTestV2"
"strategy": "StrategyTestV3"
})
backtesting = Backtesting(default_conf)
backtesting._set_strategy(backtesting.strategylist[0])
@@ -70,9 +70,14 @@ def test_backtest_position_adjustment(default_conf, fee, mocker, testdatadir) ->
'is_open': [False, False],
'enter_tag': [None, None],
'is_short': [False, False],
'open_timestamp': [1517251200000, 1517283000000],
'close_timestamp': [1517265300000, 1517285400000],
})
pd.testing.assert_frame_equal(results, expected)
pd.testing.assert_frame_equal(results.drop(columns=['orders']), expected)
data_pair = processed[pair]
assert len(results.iloc[0]['orders']) == 6
assert len(results.iloc[1]['orders']) == 2
for _, t in results.iterrows():
ln = data_pair.loc[data_pair["date"] == t["open_date"]]
# Check open trade rate alignes to open rate

View File

@@ -1,7 +1,7 @@
# pragma pylint: disable=missing-docstring,W0212,C0103
from datetime import datetime, timedelta
from pathlib import Path
from unittest.mock import ANY, MagicMock
from unittest.mock import ANY, MagicMock, PropertyMock
import pandas as pd
import pytest
@@ -17,9 +17,9 @@ from freqtrade.optimize.hyperopt_auto import HyperOptAuto
from freqtrade.optimize.hyperopt_tools import HyperoptTools
from freqtrade.optimize.optimize_reports import generate_strategy_stats
from freqtrade.optimize.space import SKDecimal
from freqtrade.strategy.hyper import IntParameter
from tests.conftest import (CURRENT_TEST_STRATEGY, get_args, log_has, log_has_re, patch_exchange,
patched_configuration_load_config_file)
from freqtrade.strategy import IntParameter
from tests.conftest import (CURRENT_TEST_STRATEGY, get_args, get_markets, log_has, log_has_re,
patch_exchange, patched_configuration_load_config_file)
def generate_result_metrics():
@@ -368,6 +368,9 @@ def test_hyperopt_format_results(hyperopt):
'rejected_signals': 2,
'timedout_entry_orders': 0,
'timedout_exit_orders': 0,
'canceled_trade_entries': 0,
'canceled_entry_orders': 0,
'replaced_entry_orders': 0,
'backtest_start_time': 1619718665,
'backtest_end_time': 1619718665,
}
@@ -438,6 +441,9 @@ def test_generate_optimizer(mocker, hyperopt_conf) -> None:
'rejected_signals': 20,
'timedout_entry_orders': 0,
'timedout_exit_orders': 0,
'canceled_trade_entries': 0,
'canceled_entry_orders': 0,
'replaced_entry_orders': 0,
'final_balance': 1000,
}
@@ -503,7 +509,6 @@ def test_generate_optimizer(mocker, hyperopt_conf) -> None:
hyperopt.min_date = Arrow(2017, 12, 10)
hyperopt.max_date = Arrow(2017, 12, 13)
hyperopt.init_spaces()
hyperopt.dimensions = hyperopt.dimensions
generate_optimizer_value = hyperopt.generate_optimizer(list(optimizer_param.values()))
assert generate_optimizer_value == response_expected
@@ -850,12 +855,13 @@ def test_in_strategy_auto_hyperopt(mocker, hyperopt_conf, tmpdir, fee) -> None:
'strategy': 'HyperoptableStrategy',
'user_data_dir': Path(tmpdir),
'hyperopt_random_state': 42,
'spaces': ['all']
'spaces': ['all'],
})
hyperopt = Hyperopt(hyperopt_conf)
hyperopt.backtesting.exchange.get_max_leverage = MagicMock(return_value=1.0)
assert isinstance(hyperopt.custom_hyperopt, HyperOptAuto)
assert isinstance(hyperopt.backtesting.strategy.buy_rsi, IntParameter)
assert hyperopt.backtesting.strategy.bot_loop_started is True
assert hyperopt.backtesting.strategy.buy_rsi.in_space is True
assert hyperopt.backtesting.strategy.buy_rsi.value == 35
@@ -877,6 +883,45 @@ def test_in_strategy_auto_hyperopt(mocker, hyperopt_conf, tmpdir, fee) -> None:
hyperopt.get_optimizer([], 2)
def test_in_strategy_auto_hyperopt_with_parallel(mocker, hyperopt_conf, tmpdir, fee) -> None:
mocker.patch('freqtrade.exchange.Exchange.validate_config', MagicMock())
mocker.patch('freqtrade.exchange.Exchange.get_fee', fee)
mocker.patch('freqtrade.exchange.Exchange._load_markets')
mocker.patch('freqtrade.exchange.Exchange.markets',
PropertyMock(return_value=get_markets()))
(Path(tmpdir) / 'hyperopt_results').mkdir(parents=True)
# No hyperopt needed
hyperopt_conf.update({
'strategy': 'HyperoptableStrategy',
'user_data_dir': Path(tmpdir),
'hyperopt_random_state': 42,
'spaces': ['all'],
# Enforce parallelity
'epochs': 2,
'hyperopt_jobs': 2,
'fee': fee.return_value,
})
hyperopt = Hyperopt(hyperopt_conf)
hyperopt.backtesting.exchange.get_max_leverage = lambda *x, **xx: 1.0
hyperopt.backtesting.exchange.get_min_pair_stake_amount = lambda *x, **xx: 1.0
hyperopt.backtesting.exchange.get_max_pair_stake_amount = lambda *x, **xx: 100.0
assert isinstance(hyperopt.custom_hyperopt, HyperOptAuto)
assert isinstance(hyperopt.backtesting.strategy.buy_rsi, IntParameter)
assert hyperopt.backtesting.strategy.bot_loop_started is True
assert hyperopt.backtesting.strategy.buy_rsi.in_space is True
assert hyperopt.backtesting.strategy.buy_rsi.value == 35
assert hyperopt.backtesting.strategy.sell_rsi.value == 74
assert hyperopt.backtesting.strategy.protection_cooldown_lookback.value == 30
buy_rsi_range = hyperopt.backtesting.strategy.buy_rsi.range
assert isinstance(buy_rsi_range, range)
# Range from 0 - 50 (inclusive)
assert len(list(buy_rsi_range)) == 51
hyperopt.start()
def test_SKDecimal():
space = SKDecimal(1, 2, decimals=2)
assert 1.5 in space

View File

@@ -87,6 +87,9 @@ def test_generate_backtest_stats(default_conf, testdatadir, tmpdir):
'rejected_signals': 20,
'timedout_entry_orders': 0,
'timedout_exit_orders': 0,
'canceled_trade_entries': 0,
'canceled_entry_orders': 0,
'replaced_entry_orders': 0,
'backtest_start_time': Arrow.utcnow().int_timestamp,
'backtest_end_time': Arrow.utcnow().int_timestamp,
'run_id': '123',
@@ -139,6 +142,9 @@ def test_generate_backtest_stats(default_conf, testdatadir, tmpdir):
'rejected_signals': 20,
'timedout_entry_orders': 0,
'timedout_exit_orders': 0,
'canceled_trade_entries': 0,
'canceled_entry_orders': 0,
'replaced_entry_orders': 0,
'backtest_start_time': Arrow.utcnow().int_timestamp,
'backtest_end_time': Arrow.utcnow().int_timestamp,
'run_id': '124',
@@ -165,7 +171,7 @@ def test_generate_backtest_stats(default_conf, testdatadir, tmpdir):
_backup_file(filename_last, copy_file=True)
assert not filename.is_file()
store_backtest_stats(filename, stats)
store_backtest_stats(filename, stats, '2022_01_01_15_05_13')
# get real Filename (it's btresult-<date>.json)
last_fn = get_latest_backtest_filename(filename_last.parent)
@@ -188,7 +194,7 @@ def test_store_backtest_stats(testdatadir, mocker):
dump_mock = mocker.patch('freqtrade.optimize.optimize_reports.file_dump_json')
store_backtest_stats(testdatadir, {'metadata': {}})
store_backtest_stats(testdatadir, {'metadata': {}}, '2022_01_01_15_05_13')
assert dump_mock.call_count == 3
assert isinstance(dump_mock.call_args_list[0][0][0], Path)
@@ -196,7 +202,7 @@ def test_store_backtest_stats(testdatadir, mocker):
dump_mock.reset_mock()
filename = testdatadir / 'testresult.json'
store_backtest_stats(filename, {'metadata': {}})
store_backtest_stats(filename, {'metadata': {}}, '2022_01_01_15_05_13')
assert dump_mock.call_count == 3
assert isinstance(dump_mock.call_args_list[0][0][0], Path)
# result will be testdatadir / testresult-<timestamp>.json
@@ -210,7 +216,7 @@ def test_store_backtest_candles(testdatadir, mocker):
candle_dict = {'DefStrat': {'UNITTEST/BTC': pd.DataFrame()}}
# mock directory exporting
store_backtest_signal_candles(testdatadir, candle_dict)
store_backtest_signal_candles(testdatadir, candle_dict, '2022_01_01_15_05_13')
assert dump_mock.call_count == 1
assert isinstance(dump_mock.call_args_list[0][0][0], Path)
@@ -219,7 +225,7 @@ def test_store_backtest_candles(testdatadir, mocker):
dump_mock.reset_mock()
# mock file exporting
filename = Path(testdatadir / 'testresult')
store_backtest_signal_candles(filename, candle_dict)
store_backtest_signal_candles(filename, candle_dict, '2022_01_01_15_05_13')
assert dump_mock.call_count == 1
assert isinstance(dump_mock.call_args_list[0][0][0], Path)
# result will be testdatadir / testresult-<timestamp>_signals.pkl
@@ -232,7 +238,7 @@ def test_write_read_backtest_candles(tmpdir):
candle_dict = {'DefStrat': {'UNITTEST/BTC': pd.DataFrame()}}
# test directory exporting
stored_file = store_backtest_signal_candles(Path(tmpdir), candle_dict)
stored_file = store_backtest_signal_candles(Path(tmpdir), candle_dict, '2022_01_01_15_05_13')
scp = open(stored_file, "rb")
pickled_signal_candles = joblib.load(scp)
scp.close()
@@ -246,7 +252,7 @@ def test_write_read_backtest_candles(tmpdir):
# test file exporting
filename = Path(tmpdir / 'testresult')
stored_file = store_backtest_signal_candles(filename, candle_dict)
stored_file = store_backtest_signal_candles(filename, candle_dict, '2022_01_01_15_05_13')
scp = open(stored_file, "rb")
pickled_signal_candles = joblib.load(scp)
scp.close()

View File

@@ -470,12 +470,16 @@ def test_VolumePairList_refresh_empty(mocker, markets_empty, whitelist_conf):
"BTC", ['ETH/BTC', 'TKN/BTC']),
# VolumePairList with no offset = unchanged pairlist
([{"method": "VolumePairList", "number_assets": 20, "sort_key": "quoteVolume"},
{"method": "OffsetFilter", "offset": 0}],
{"method": "OffsetFilter", "offset": 0, "number_assets": 0}],
"USDT", ['ETH/USDT', 'NANO/USDT', 'ADAHALF/USDT', 'ADADOUBLE/USDT']),
# VolumePairList with offset = 2
([{"method": "VolumePairList", "number_assets": 20, "sort_key": "quoteVolume"},
{"method": "OffsetFilter", "offset": 2}],
"USDT", ['ADAHALF/USDT', 'ADADOUBLE/USDT']),
# VolumePairList with offset and limit
([{"method": "VolumePairList", "number_assets": 20, "sort_key": "quoteVolume"},
{"method": "OffsetFilter", "offset": 1, "number_assets": 2}],
"USDT", ['NANO/USDT', 'ADAHALF/USDT']),
# VolumePairList with higher offset, than total pairlist
([{"method": "VolumePairList", "number_assets": 20, "sort_key": "quoteVolume"},
{"method": "OffsetFilter", "offset": 100}],
@@ -758,8 +762,8 @@ def test_PerformanceFilter_keep_mid_order(mocker, default_conf_usdt, fee, caplog
with time_machine.travel("2021-09-01 05:00:00 +00:00") as t:
create_mock_trades_usdt(fee)
pm.refresh_pairlist()
assert pm.whitelist == ['XRP/USDT', 'ETC/USDT', 'ETH/USDT',
'NEO/USDT', 'TKN/USDT', 'ADA/USDT', 'LTC/USDT']
assert pm.whitelist == ['XRP/USDT', 'ETC/USDT', 'ETH/USDT', 'LTC/USDT',
'NEO/USDT', 'TKN/USDT', 'ADA/USDT', ]
# assert log_has_re(r'Removing pair .* since .* is below .*', caplog)
# Move to "outside" of lookback window, so original sorting is restored.
@@ -1152,6 +1156,10 @@ def test_spreadfilter_invalid_data(mocker, default_conf, markets, tickers, caplo
"0.01 and above 0.99 over the last days.'}]",
None
),
({"method": "OffsetFilter", "offset": 5, "number_assets": 10},
"[{'OffsetFilter': 'OffsetFilter - Taking 10 Pairs, starting from 5.'}]",
None
),
])
def test_pricefilter_desc(mocker, whitelist_conf, markets, pairlistconfig,
desc_expected, exception_expected):

View File

@@ -250,14 +250,16 @@ def test_CooldownPeriod(mocker, default_conf, fee, caplog):
assert not PairLocks.is_global_lock()
@pytest.mark.parametrize('only_per_side', [False, True])
@pytest.mark.usefixtures("init_persistence")
def test_LowProfitPairs(mocker, default_conf, fee, caplog):
def test_LowProfitPairs(mocker, default_conf, fee, caplog, only_per_side):
default_conf['protections'] = [{
"method": "LowProfitPairs",
"lookback_period": 400,
"stop_duration": 60,
"trade_limit": 2,
"required_profit": 0.0,
"only_per_side": only_per_side,
}]
freqtrade = get_patched_freqtradebot(mocker, default_conf)
message = r"Trading stopped due to .*"
@@ -292,10 +294,11 @@ def test_LowProfitPairs(mocker, default_conf, fee, caplog):
# Add positive trade
Trade.query.session.add(generate_mock_trade(
'XRP/BTC', fee.return_value, False, exit_reason=ExitType.ROI.value,
min_ago_open=20, min_ago_close=10, profit_rate=1.15,
min_ago_open=20, min_ago_close=10, profit_rate=1.15, is_short=True
))
assert not freqtrade.protections.stop_per_pair('XRP/BTC')
assert not PairLocks.is_pair_locked('XRP/BTC')
assert freqtrade.protections.stop_per_pair('XRP/BTC') != only_per_side
assert not PairLocks.is_pair_locked('XRP/BTC', side='*')
assert PairLocks.is_pair_locked('XRP/BTC', side='long') == only_per_side
Trade.query.session.add(generate_mock_trade(
'XRP/BTC', fee.return_value, False, exit_reason=ExitType.STOP_LOSS.value,
@@ -303,9 +306,10 @@ def test_LowProfitPairs(mocker, default_conf, fee, caplog):
))
# Locks due to 2nd trade
assert not freqtrade.protections.global_stop()
assert freqtrade.protections.stop_per_pair('XRP/BTC')
assert PairLocks.is_pair_locked('XRP/BTC')
assert freqtrade.protections.global_stop() != only_per_side
assert freqtrade.protections.stop_per_pair('XRP/BTC') != only_per_side
assert PairLocks.is_pair_locked('XRP/BTC', side='long')
assert PairLocks.is_pair_locked('XRP/BTC', side='*') != only_per_side
assert not PairLocks.is_global_lock()

View File

@@ -11,11 +11,11 @@ from freqtrade.edge import PairInfo
from freqtrade.enums import SignalDirection, State, TradingMode
from freqtrade.exceptions import ExchangeError, InvalidOrderException, TemporaryError
from freqtrade.persistence import Trade
from freqtrade.persistence.models import Order
from freqtrade.persistence.pairlock_middleware import PairLocks
from freqtrade.rpc import RPC, RPCException
from freqtrade.rpc.fiat_convert import CryptoToFiatConverter
from tests.conftest import create_mock_trades, get_patched_freqtradebot, patch_get_signal
from tests.conftest import (create_mock_trades, create_mock_trades_usdt, get_patched_freqtradebot,
patch_get_signal)
# Functions for recurrent object patching
@@ -233,9 +233,20 @@ def test_rpc_status_table(default_conf, ticker, fee, mocker) -> None:
freqtradebot.state = State.RUNNING
with pytest.raises(RPCException, match=r'.*no active trade*'):
rpc._rpc_status_table(default_conf['stake_currency'], 'USD')
mocker.patch('freqtrade.exchange.Exchange._is_dry_limit_order_filled', return_value=False)
freqtradebot.enter_positions()
result, headers, fiat_profit_sum = rpc._rpc_status_table(default_conf['stake_currency'], 'USD')
assert "Since" in headers
assert "Pair" in headers
assert 'instantly' == result[0][2]
assert 'ETH/BTC' in result[0][1]
assert '0.00' == result[0][3]
assert isnan(fiat_profit_sum)
mocker.patch('freqtrade.exchange.Exchange._is_dry_limit_order_filled', return_value=True)
freqtradebot.process()
result, headers, fiat_profit_sum = rpc._rpc_status_table(default_conf['stake_currency'], 'USD')
assert "Since" in headers
assert "Pair" in headers
@@ -243,8 +254,8 @@ def test_rpc_status_table(default_conf, ticker, fee, mocker) -> None:
assert 'ETH/BTC' in result[0][1]
assert '-0.41%' == result[0][3]
assert isnan(fiat_profit_sum)
# Test with fiatconvert
# Test with fiatconvert
rpc._fiat_converter = CryptoToFiatConverter()
result, headers, fiat_profit_sum = rpc._rpc_status_table(default_conf['stake_currency'], 'USD')
assert "Since" in headers
@@ -273,8 +284,8 @@ def test_rpc_status_table(default_conf, ticker, fee, mocker) -> None:
assert isnan(fiat_profit_sum)
def test_rpc_daily_profit(default_conf, update, ticker, fee,
limit_buy_order, limit_sell_order, markets, mocker) -> None:
def test__rpc_timeunit_profit(default_conf_usdt, ticker, fee,
limit_buy_order, limit_sell_order, markets, mocker) -> None:
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
@@ -283,45 +294,35 @@ def test_rpc_daily_profit(default_conf, update, ticker, fee,
markets=PropertyMock(return_value=markets)
)
freqtradebot = get_patched_freqtradebot(mocker, default_conf)
patch_get_signal(freqtradebot)
stake_currency = default_conf['stake_currency']
fiat_display_currency = default_conf['fiat_display_currency']
freqtradebot = get_patched_freqtradebot(mocker, default_conf_usdt)
create_mock_trades_usdt(fee)
stake_currency = default_conf_usdt['stake_currency']
fiat_display_currency = default_conf_usdt['fiat_display_currency']
rpc = RPC(freqtradebot)
rpc._fiat_converter = CryptoToFiatConverter()
# Create some test data
freqtradebot.enter_positions()
trade = Trade.query.first()
assert trade
# Simulate buy & sell
oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
trade.update_trade(oobj)
oobj = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
trade.update_trade(oobj)
trade.close_date = datetime.utcnow()
trade.is_open = False
# Try valid data
update.message.text = '/daily 2'
days = rpc._rpc_daily_profit(7, stake_currency, fiat_display_currency)
days = rpc._rpc_timeunit_profit(7, stake_currency, fiat_display_currency)
assert len(days['data']) == 7
assert days['stake_currency'] == default_conf['stake_currency']
assert days['fiat_display_currency'] == default_conf['fiat_display_currency']
assert days['stake_currency'] == default_conf_usdt['stake_currency']
assert days['fiat_display_currency'] == default_conf_usdt['fiat_display_currency']
for day in days['data']:
# [datetime.date(2018, 1, 11), '0.00000000 BTC', '0.000 USD']
assert (day['abs_profit'] == 0.0 or
day['abs_profit'] == 0.00006217)
assert (day['fiat_value'] == 0.0 or
day['fiat_value'] == 0.76748865)
# {'date': datetime.date(2022, 6, 11), 'abs_profit': 13.8299999,
# 'starting_balance': 1055.37, 'rel_profit': 0.0131044,
# 'fiat_value': 0.0, 'trade_count': 2}
assert day['abs_profit'] in (0.0, pytest.approx(13.8299999), pytest.approx(-4.0))
assert day['rel_profit'] in (0.0, pytest.approx(0.01310441), pytest.approx(-0.00377583))
assert day['trade_count'] in (0, 1, 2)
assert day['starting_balance'] in (pytest.approx(1059.37), pytest.approx(1055.37))
assert day['fiat_value'] in (0.0, )
# ensure first day is current date
assert str(days['data'][0]['date']) == str(datetime.utcnow().date())
# Try invalid data
with pytest.raises(RPCException, match=r'.*must be an integer greater than 0*'):
rpc._rpc_daily_profit(0, stake_currency, fiat_display_currency)
rpc._rpc_timeunit_profit(0, stake_currency, fiat_display_currency)
@pytest.mark.parametrize('is_short', [True, False])
@@ -405,13 +406,8 @@ def test_rpc_delete_trade(mocker, default_conf, fee, markets, caplog, is_short):
assert stoploss_mock.call_count == 0
def test_rpc_trade_statistics(default_conf, ticker, ticker_sell_up, fee,
limit_buy_order, limit_sell_order, mocker) -> None:
mocker.patch.multiple(
'freqtrade.rpc.fiat_convert.CoinGeckoAPI',
get_price=MagicMock(return_value={'bitcoin': {'usd': 15000.0}}),
)
mocker.patch('freqtrade.rpc.rpc.CryptoToFiatConverter._find_price', return_value=15000.0)
def test_rpc_trade_statistics(default_conf_usdt, ticker, fee, mocker) -> None:
mocker.patch('freqtrade.rpc.rpc.CryptoToFiatConverter._find_price', return_value=1.1)
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
@@ -419,10 +415,9 @@ def test_rpc_trade_statistics(default_conf, ticker, ticker_sell_up, fee,
get_fee=fee,
)
freqtradebot = get_patched_freqtradebot(mocker, default_conf)
patch_get_signal(freqtradebot)
stake_currency = default_conf['stake_currency']
fiat_display_currency = default_conf['fiat_display_currency']
freqtradebot = get_patched_freqtradebot(mocker, default_conf_usdt)
stake_currency = default_conf_usdt['stake_currency']
fiat_display_currency = default_conf_usdt['fiat_display_currency']
rpc = RPC(freqtradebot)
rpc._fiat_converter = CryptoToFiatConverter()
@@ -435,75 +430,40 @@ def test_rpc_trade_statistics(default_conf, ticker, ticker_sell_up, fee,
assert res['latest_trade_timestamp'] == 0
# Create some test data
freqtradebot.enter_positions()
trade = Trade.query.first()
# Simulate fulfilled LIMIT_BUY order for trade
oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'sell')
trade.update_trade(oobj)
# Update the ticker with a market going up
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker_sell_up
)
oobj = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
trade.update_trade(oobj)
trade.close_date = datetime.utcnow()
trade.is_open = False
freqtradebot.enter_positions()
trade = Trade.query.first()
# Simulate fulfilled LIMIT_BUY order for trade
oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
trade.update_trade(oobj)
# Update the ticker with a market going up
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker_sell_up
)
oobj = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
trade.update_trade(oobj)
trade.close_date = datetime.utcnow()
trade.is_open = False
create_mock_trades_usdt(fee)
stats = rpc._rpc_trade_statistics(stake_currency, fiat_display_currency)
assert prec_satoshi(stats['profit_closed_coin'], 6.217e-05)
assert prec_satoshi(stats['profit_closed_percent_mean'], 6.2)
assert prec_satoshi(stats['profit_closed_fiat'], 0.93255)
assert prec_satoshi(stats['profit_all_coin'], 5.802e-05)
assert prec_satoshi(stats['profit_all_percent_mean'], 2.89)
assert prec_satoshi(stats['profit_all_fiat'], 0.8703)
assert stats['trade_count'] == 2
assert stats['first_trade_date'] == 'just now'
assert stats['latest_trade_date'] == 'just now'
assert stats['avg_duration'] in ('0:00:00', '0:00:01', '0:00:02')
assert stats['best_pair'] == 'ETH/BTC'
assert prec_satoshi(stats['best_rate'], 6.2)
assert pytest.approx(stats['profit_closed_coin']) == 9.83
assert pytest.approx(stats['profit_closed_percent_mean']) == -1.67
assert pytest.approx(stats['profit_closed_fiat']) == 10.813
assert pytest.approx(stats['profit_all_coin']) == -77.45964918
assert pytest.approx(stats['profit_all_percent_mean']) == -57.86
assert pytest.approx(stats['profit_all_fiat']) == -85.205614098
assert stats['trade_count'] == 7
assert stats['first_trade_date'] == '2 days ago'
assert stats['latest_trade_date'] == '17 minutes ago'
assert stats['avg_duration'] in ('0:17:40')
assert stats['best_pair'] == 'XRP/USDT'
assert stats['best_rate'] == 10.0
# Test non-available pair
mocker.patch('freqtrade.exchange.Exchange.get_rate',
MagicMock(side_effect=ExchangeError("Pair 'ETH/BTC' not available")))
MagicMock(side_effect=ExchangeError("Pair 'XRP/USDT' not available")))
stats = rpc._rpc_trade_statistics(stake_currency, fiat_display_currency)
assert stats['trade_count'] == 2
assert stats['first_trade_date'] == 'just now'
assert stats['latest_trade_date'] == 'just now'
assert stats['avg_duration'] in ('0:00:00', '0:00:01', '0:00:02')
assert stats['best_pair'] == 'ETH/BTC'
assert prec_satoshi(stats['best_rate'], 6.2)
assert stats['trade_count'] == 7
assert stats['first_trade_date'] == '2 days ago'
assert stats['latest_trade_date'] == '17 minutes ago'
assert stats['avg_duration'] in ('0:17:40')
assert stats['best_pair'] == 'XRP/USDT'
assert stats['best_rate'] == 10.0
assert isnan(stats['profit_all_coin'])
# Test that rpc_trade_statistics can handle trades that lacks
# trade.open_rate (it is set to None)
def test_rpc_trade_statistics_closed(mocker, default_conf, ticker, fee,
ticker_sell_up, limit_buy_order, limit_sell_order):
mocker.patch.multiple(
'freqtrade.rpc.fiat_convert.CoinGeckoAPI',
get_price=MagicMock(return_value={'bitcoin': {'usd': 15000.0}}),
)
def test_rpc_trade_statistics_closed(mocker, default_conf_usdt, ticker, fee):
mocker.patch('freqtrade.rpc.fiat_convert.CryptoToFiatConverter._find_price',
return_value=15000.0)
return_value=1.1)
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
@@ -511,46 +471,32 @@ def test_rpc_trade_statistics_closed(mocker, default_conf, ticker, fee,
get_fee=fee,
)
freqtradebot = get_patched_freqtradebot(mocker, default_conf)
freqtradebot = get_patched_freqtradebot(mocker, default_conf_usdt)
patch_get_signal(freqtradebot)
stake_currency = default_conf['stake_currency']
fiat_display_currency = default_conf['fiat_display_currency']
stake_currency = default_conf_usdt['stake_currency']
fiat_display_currency = default_conf_usdt['fiat_display_currency']
rpc = RPC(freqtradebot)
# Create some test data
freqtradebot.enter_positions()
trade = Trade.query.first()
# Simulate fulfilled LIMIT_BUY order for trade
oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
trade.update_trade(oobj)
# Update the ticker with a market going up
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker_sell_up,
get_fee=fee
)
oobj = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
trade.update_trade(oobj)
trade.close_date = datetime.utcnow()
trade.is_open = False
create_mock_trades_usdt(fee)
for trade in Trade.query.order_by(Trade.id).all():
trade.open_rate = None
stats = rpc._rpc_trade_statistics(stake_currency, fiat_display_currency)
assert prec_satoshi(stats['profit_closed_coin'], 0)
assert prec_satoshi(stats['profit_closed_percent_mean'], 0)
assert prec_satoshi(stats['profit_closed_fiat'], 0)
assert prec_satoshi(stats['profit_all_coin'], 0)
assert prec_satoshi(stats['profit_all_percent_mean'], 0)
assert prec_satoshi(stats['profit_all_fiat'], 0)
assert stats['trade_count'] == 1
assert stats['first_trade_date'] == 'just now'
assert stats['latest_trade_date'] == 'just now'
assert stats['profit_closed_coin'] == 0
assert stats['profit_closed_percent_mean'] == 0
assert stats['profit_closed_fiat'] == 0
assert stats['profit_all_coin'] == 0
assert stats['profit_all_percent_mean'] == 0
assert stats['profit_all_fiat'] == 0
assert stats['trade_count'] == 7
assert stats['first_trade_date'] == '2 days ago'
assert stats['latest_trade_date'] == '17 minutes ago'
assert stats['avg_duration'] == '0:00:00'
assert stats['best_pair'] == 'ETH/BTC'
assert prec_satoshi(stats['best_rate'], 6.2)
assert stats['best_pair'] == 'XRP/USDT'
assert stats['best_rate'] == 10.0
def test_rpc_balance_handle_error(default_conf, mocker):
@@ -902,8 +848,7 @@ def test_rpc_force_exit(default_conf, ticker, fee, mocker) -> None:
assert cancel_order_mock.call_count == 3
def test_performance_handle(default_conf, ticker, limit_buy_order, fee,
limit_sell_order, mocker) -> None:
def test_performance_handle(default_conf_usdt, ticker, fee, mocker) -> None:
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
@@ -912,34 +857,21 @@ def test_performance_handle(default_conf, ticker, limit_buy_order, fee,
get_fee=fee,
)
freqtradebot = get_patched_freqtradebot(mocker, default_conf)
freqtradebot = get_patched_freqtradebot(mocker, default_conf_usdt)
patch_get_signal(freqtradebot)
rpc = RPC(freqtradebot)
# Create some test data
freqtradebot.enter_positions()
trade = Trade.query.first()
assert trade
create_mock_trades_usdt(fee)
# Simulate fulfilled LIMIT_BUY order for trade
oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
trade.update_trade(oobj)
# Simulate fulfilled LIMIT_SELL order for trade
oobj = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
trade.update_trade(oobj)
trade.close_date = datetime.utcnow()
trade.is_open = False
res = rpc._rpc_performance()
assert len(res) == 1
assert res[0]['pair'] == 'ETH/BTC'
assert len(res) == 3
assert res[0]['pair'] == 'XRP/USDT'
assert res[0]['count'] == 1
assert prec_satoshi(res[0]['profit_pct'], 6.2)
assert res[0]['profit_pct'] == 10.0
def test_enter_tag_performance_handle(default_conf, ticker, limit_buy_order, fee,
limit_sell_order, mocker) -> None:
def test_enter_tag_performance_handle(default_conf, ticker, fee, mocker) -> None:
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
@@ -953,34 +885,22 @@ def test_enter_tag_performance_handle(default_conf, ticker, limit_buy_order, fee
rpc = RPC(freqtradebot)
# Create some test data
create_mock_trades_usdt(fee)
freqtradebot.enter_positions()
trade = Trade.query.first()
assert trade
# Simulate fulfilled LIMIT_BUY order for trade
oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
trade.update_trade(oobj)
# Simulate fulfilled LIMIT_SELL order for trade
oobj = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
trade.update_trade(oobj)
trade.close_date = datetime.utcnow()
trade.is_open = False
res = rpc._rpc_enter_tag_performance(None)
assert len(res) == 1
assert res[0]['enter_tag'] == 'Other'
assert len(res) == 3
assert res[0]['enter_tag'] == 'TEST3'
assert res[0]['count'] == 1
assert prec_satoshi(res[0]['profit_pct'], 6.2)
assert res[0]['profit_pct'] == 10.0
trade.enter_tag = "TEST_TAG"
res = rpc._rpc_enter_tag_performance(None)
assert len(res) == 1
assert res[0]['enter_tag'] == 'TEST_TAG'
assert len(res) == 3
assert res[0]['enter_tag'] == 'TEST3'
assert res[0]['count'] == 1
assert prec_satoshi(res[0]['profit_pct'], 6.2)
assert res[0]['profit_pct'] == 10.0
def test_enter_tag_performance_handle_2(mocker, default_conf, markets, fee):
@@ -1012,8 +932,7 @@ def test_enter_tag_performance_handle_2(mocker, default_conf, markets, fee):
assert prec_satoshi(res[0]['profit_pct'], 0.5)
def test_exit_reason_performance_handle(default_conf, ticker, limit_buy_order, fee,
limit_sell_order, mocker) -> None:
def test_exit_reason_performance_handle(default_conf_usdt, ticker, fee, mocker) -> None:
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
@@ -1022,39 +941,22 @@ def test_exit_reason_performance_handle(default_conf, ticker, limit_buy_order, f
get_fee=fee,
)
freqtradebot = get_patched_freqtradebot(mocker, default_conf)
freqtradebot = get_patched_freqtradebot(mocker, default_conf_usdt)
patch_get_signal(freqtradebot)
rpc = RPC(freqtradebot)
# Create some test data
freqtradebot.enter_positions()
trade = Trade.query.first()
assert trade
create_mock_trades_usdt(fee)
# Simulate fulfilled LIMIT_BUY order for trade
oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
trade.update_trade(oobj)
# Simulate fulfilled LIMIT_SELL order for trade
oobj = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
trade.update_trade(oobj)
trade.close_date = datetime.utcnow()
trade.is_open = False
res = rpc._rpc_exit_reason_performance(None)
assert len(res) == 1
assert res[0]['exit_reason'] == 'Other'
assert len(res) == 3
assert res[0]['exit_reason'] == 'roi'
assert res[0]['count'] == 1
assert prec_satoshi(res[0]['profit_pct'], 6.2)
assert res[0]['profit_pct'] == 10.0
trade.exit_reason = "TEST1"
res = rpc._rpc_exit_reason_performance(None)
assert len(res) == 1
assert res[0]['exit_reason'] == 'TEST1'
assert res[0]['count'] == 1
assert prec_satoshi(res[0]['profit_pct'], 6.2)
assert res[1]['exit_reason'] == 'exit_signal'
assert res[2]['exit_reason'] == 'Other'
def test_exit_reason_performance_handle_2(mocker, default_conf, markets, fee):
@@ -1086,8 +988,7 @@ def test_exit_reason_performance_handle_2(mocker, default_conf, markets, fee):
assert prec_satoshi(res[0]['profit_pct'], 0.5)
def test_mix_tag_performance_handle(default_conf, ticker, limit_buy_order, fee,
limit_sell_order, mocker) -> None:
def test_mix_tag_performance_handle(default_conf, ticker, fee, mocker) -> None:
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
@@ -1101,35 +1002,14 @@ def test_mix_tag_performance_handle(default_conf, ticker, limit_buy_order, fee,
rpc = RPC(freqtradebot)
# Create some test data
freqtradebot.enter_positions()
trade = Trade.query.first()
assert trade
create_mock_trades_usdt(fee)
# Simulate fulfilled LIMIT_BUY order for trade
oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
trade.update_trade(oobj)
# Simulate fulfilled LIMIT_SELL order for trade
oobj = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
trade.update_trade(oobj)
trade.close_date = datetime.utcnow()
trade.is_open = False
res = rpc._rpc_mix_tag_performance(None)
assert len(res) == 1
assert res[0]['mix_tag'] == 'Other Other'
assert len(res) == 3
assert res[0]['mix_tag'] == 'TEST3 roi'
assert res[0]['count'] == 1
assert prec_satoshi(res[0]['profit_pct'], 6.2)
trade.enter_tag = "TESTBUY"
trade.exit_reason = "TESTSELL"
res = rpc._rpc_mix_tag_performance(None)
assert len(res) == 1
assert res[0]['mix_tag'] == 'TESTBUY TESTSELL'
assert res[0]['count'] == 1
assert prec_satoshi(res[0]['profit_pct'], 6.2)
assert res[0]['profit_pct'] == 10.0
def test_mix_tag_performance_handle_2(mocker, default_conf, markets, fee):

View File

@@ -578,9 +578,10 @@ def test_api_trades(botclient, mocker, fee, markets, is_short):
)
rc = client_get(client, f"{BASE_URI}/trades")
assert_response(rc)
assert len(rc.json()) == 3
assert len(rc.json()) == 4
assert rc.json()['trades_count'] == 0
assert rc.json()['total_trades'] == 0
assert rc.json()['offset'] == 0
create_mock_trades(fee, is_short=is_short)
Trade.query.session.flush()
@@ -724,7 +725,9 @@ def test_api_edge_disabled(botclient, mocker, ticker, fee, markets):
'profit_closed_fiat': -83.19455985, 'profit_closed_ratio_mean': -0.0075,
'profit_closed_percent_mean': -0.75, 'profit_closed_ratio_sum': -0.015,
'profit_closed_percent_sum': -1.5, 'profit_closed_ratio': -6.739057628404269e-06,
'profit_closed_percent': -0.0, 'winning_trades': 0, 'losing_trades': 2}
'profit_closed_percent': -0.0, 'winning_trades': 0, 'losing_trades': 2,
'profit_factor': 0.0, 'trading_volume': 91.074,
}
),
(
False,
@@ -737,7 +740,9 @@ def test_api_edge_disabled(botclient, mocker, ticker, fee, markets):
'profit_closed_fiat': 9.124559849999999, 'profit_closed_ratio_mean': 0.0075,
'profit_closed_percent_mean': 0.75, 'profit_closed_ratio_sum': 0.015,
'profit_closed_percent_sum': 1.5, 'profit_closed_ratio': 7.391275897987988e-07,
'profit_closed_percent': 0.0, 'winning_trades': 2, 'losing_trades': 0}
'profit_closed_percent': 0.0, 'winning_trades': 2, 'losing_trades': 0,
'profit_factor': None, 'trading_volume': 91.074,
}
),
(
None,
@@ -750,7 +755,9 @@ def test_api_edge_disabled(botclient, mocker, ticker, fee, markets):
'profit_closed_fiat': -67.02260985, 'profit_closed_ratio_mean': 0.0025,
'profit_closed_percent_mean': 0.25, 'profit_closed_ratio_sum': 0.005,
'profit_closed_percent_sum': 0.5, 'profit_closed_ratio': -5.429078808526421e-06,
'profit_closed_percent': -0.0, 'winning_trades': 1, 'losing_trades': 1}
'profit_closed_percent': -0.0, 'winning_trades': 1, 'losing_trades': 1,
'profit_factor': 0.02775724835771106, 'trading_volume': 91.074,
}
)
])
def test_api_profit(botclient, mocker, ticker, fee, markets, is_short, expected):
@@ -803,6 +810,10 @@ def test_api_profit(botclient, mocker, ticker, fee, markets, is_short, expected)
'closed_trade_count': 2,
'winning_trades': expected['winning_trades'],
'losing_trades': expected['losing_trades'],
'profit_factor': expected['profit_factor'],
'max_drawdown': ANY,
'max_drawdown_abs': ANY,
'trading_volume': expected['trading_volume'],
}
@@ -852,8 +863,8 @@ def test_api_performance(botclient, fee):
close_rate=0.265441,
)
trade.close_profit = trade.calc_profit_ratio()
trade.close_profit_abs = trade.calc_profit()
trade.close_profit = trade.calc_profit_ratio(trade.close_rate)
trade.close_profit_abs = trade.calc_profit(trade.close_rate)
Trade.query.session.add(trade)
trade = Trade(
@@ -868,8 +879,8 @@ def test_api_performance(botclient, fee):
fee_open=fee.return_value,
close_rate=0.391
)
trade.close_profit = trade.calc_profit_ratio()
trade.close_profit_abs = trade.calc_profit()
trade.close_profit = trade.calc_profit_ratio(trade.close_rate)
trade.close_profit_abs = trade.calc_profit(trade.close_rate)
Trade.query.session.add(trade)
Trade.commit()
@@ -972,6 +983,7 @@ def test_api_status(botclient, mocker, ticker, fee, markets, is_short,
'exchange': 'binance',
'leverage': 1.0,
'interest_rate': 0.0,
'liquidation_price': None,
'funding_fees': None,
'trading_mode': ANY,
'orders': [ANY],
@@ -1175,6 +1187,7 @@ def test_api_force_entry(botclient, mocker, fee, endpoint):
'exchange': 'binance',
'leverage': None,
'interest_rate': None,
'liquidation_price': None,
'funding_fees': None,
'trading_mode': 'spot',
'orders': [],
@@ -1382,12 +1395,15 @@ def test_api_strategies(botclient):
rc = client_get(client, f"{BASE_URI}/strategies")
assert_response(rc)
assert rc.json() == {'strategies': [
'HyperoptableStrategy',
'HyperoptableStrategyV2',
'InformativeDecoratorTest',
'StrategyTestV2',
'StrategyTestV3',
'StrategyTestV3Futures',
'StrategyTestV3Analysis',
'StrategyTestV3Futures'
]}

View File

@@ -12,6 +12,7 @@ from unittest.mock import ANY, MagicMock
import arrow
import pytest
from pandas import DataFrame
from telegram import Chat, Message, ReplyKeyboardMarkup, Update
from telegram.error import BadRequest, NetworkError, TelegramError
@@ -27,8 +28,9 @@ from freqtrade.persistence.models import Order
from freqtrade.rpc import RPC
from freqtrade.rpc.rpc import RPCException
from freqtrade.rpc.telegram import Telegram, authorized_only
from tests.conftest import (CURRENT_TEST_STRATEGY, create_mock_trades, get_patched_freqtradebot,
log_has, log_has_re, patch_exchange, patch_get_signal, patch_whitelist)
from tests.conftest import (CURRENT_TEST_STRATEGY, create_mock_trades, create_mock_trades_usdt,
get_patched_freqtradebot, log_has, log_has_re, patch_exchange,
patch_get_signal, patch_whitelist)
class DummyCls(Telegram):
@@ -404,12 +406,10 @@ def test_status_table_handle(default_conf, update, ticker, fee, mocker) -> None:
assert msg_mock.call_count == 1
def test_daily_handle(default_conf, update, ticker, limit_buy_order, fee,
limit_sell_order, mocker) -> None:
default_conf['max_open_trades'] = 1
def test_daily_handle(default_conf_usdt, update, ticker, fee, mocker, time_machine) -> None:
mocker.patch(
'freqtrade.rpc.rpc.CryptoToFiatConverter._find_price',
return_value=15000.0
return_value=1.1
)
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
@@ -417,25 +417,12 @@ def test_daily_handle(default_conf, update, ticker, limit_buy_order, fee,
get_fee=fee,
)
telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf)
patch_get_signal(freqtradebot)
telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf_usdt)
# Move date to within day
time_machine.move_to('2022-06-11 08:00:00+00:00')
# Create some test data
freqtradebot.enter_positions()
trade = Trade.query.first()
assert trade
# Simulate fulfilled LIMIT_BUY order for trade
oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
trade.update_trade(oobj)
# Simulate fulfilled LIMIT_SELL order for trade
oobjs = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
trade.update_trade(oobjs)
trade.close_date = datetime.utcnow()
trade.is_open = False
create_mock_trades_usdt(fee)
# Try valid data
# /daily 2
@@ -446,10 +433,11 @@ def test_daily_handle(default_conf, update, ticker, limit_buy_order, fee,
assert "Daily Profit over the last 2 days</b>:" in msg_mock.call_args_list[0][0][0]
assert 'Day ' in msg_mock.call_args_list[0][0][0]
assert str(datetime.utcnow().date()) in msg_mock.call_args_list[0][0][0]
assert str(' 0.00006217 BTC') in msg_mock.call_args_list[0][0][0]
assert str(' 0.933 USD') in msg_mock.call_args_list[0][0][0]
assert str(' 1 trade') in msg_mock.call_args_list[0][0][0]
assert str(' 0 trade') in msg_mock.call_args_list[0][0][0]
assert ' 13.83 USDT' in msg_mock.call_args_list[0][0][0]
assert ' 15.21 USD' in msg_mock.call_args_list[0][0][0]
assert '(2)' in msg_mock.call_args_list[0][0][0]
assert '(2) 13.83 USDT 15.21 USD 1.31%' in msg_mock.call_args_list[0][0][0]
assert '(0)' in msg_mock.call_args_list[0][0][0]
# Reset msg_mock
msg_mock.reset_mock()
@@ -458,32 +446,23 @@ def test_daily_handle(default_conf, update, ticker, limit_buy_order, fee,
assert msg_mock.call_count == 1
assert "Daily Profit over the last 7 days</b>:" in msg_mock.call_args_list[0][0][0]
assert str(datetime.utcnow().date()) in msg_mock.call_args_list[0][0][0]
assert str(' 0.00006217 BTC') in msg_mock.call_args_list[0][0][0]
assert str(' 0.933 USD') in msg_mock.call_args_list[0][0][0]
assert str(' 1 trade') in msg_mock.call_args_list[0][0][0]
assert str(' 0 trade') in msg_mock.call_args_list[0][0][0]
assert str((datetime.utcnow() - timedelta(days=5)).date()) in msg_mock.call_args_list[0][0][0]
assert ' 13.83 USDT' in msg_mock.call_args_list[0][0][0]
assert ' 15.21 USD' in msg_mock.call_args_list[0][0][0]
assert '(2)' in msg_mock.call_args_list[0][0][0]
assert '(1)' in msg_mock.call_args_list[0][0][0]
assert '(0)' in msg_mock.call_args_list[0][0][0]
# Reset msg_mock
msg_mock.reset_mock()
freqtradebot.config['max_open_trades'] = 2
# Add two other trades
n = freqtradebot.enter_positions()
assert n == 2
trades = Trade.query.all()
for trade in trades:
trade.update_trade(oobj)
trade.update_trade(oobjs)
trade.close_date = datetime.utcnow()
trade.is_open = False
# /daily 1
context = MagicMock()
context.args = ["1"]
telegram._daily(update=update, context=context)
assert str(' 0.00018651 BTC') in msg_mock.call_args_list[0][0][0]
assert str(' 2.798 USD') in msg_mock.call_args_list[0][0][0]
assert str(' 3 trades') in msg_mock.call_args_list[0][0][0]
assert ' 13.83 USDT' in msg_mock.call_args_list[0][0][0]
assert ' 15.21 USD' in msg_mock.call_args_list[0][0][0]
assert '(2)' in msg_mock.call_args_list[0][0][0]
def test_daily_wrong_input(default_conf, update, ticker, mocker) -> None:
@@ -512,15 +491,14 @@ def test_daily_wrong_input(default_conf, update, ticker, mocker) -> None:
context = MagicMock()
context.args = ["today"]
telegram._daily(update=update, context=context)
assert str('Daily Profit over the last 7 days</b>:') in msg_mock.call_args_list[0][0][0]
assert 'Daily Profit over the last 7 days</b>:' in msg_mock.call_args_list[0][0][0]
def test_weekly_handle(default_conf, update, ticker, limit_buy_order, fee,
limit_sell_order, mocker) -> None:
default_conf['max_open_trades'] = 1
def test_weekly_handle(default_conf_usdt, update, ticker, fee, mocker, time_machine) -> None:
default_conf_usdt['max_open_trades'] = 1
mocker.patch(
'freqtrade.rpc.rpc.CryptoToFiatConverter._find_price',
return_value=15000.0
return_value=1.1
)
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
@@ -528,25 +506,10 @@ def test_weekly_handle(default_conf, update, ticker, limit_buy_order, fee,
get_fee=fee,
)
telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf)
patch_get_signal(freqtradebot)
# Create some test data
freqtradebot.enter_positions()
trade = Trade.query.first()
assert trade
# Simulate fulfilled LIMIT_BUY order for trade
oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
trade.update_trade(oobj)
# Simulate fulfilled LIMIT_SELL order for trade
oobjs = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
trade.update_trade(oobjs)
trade.close_date = datetime.utcnow()
trade.is_open = False
telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf_usdt)
# Move to saturday - so all trades are within that week
time_machine.move_to('2022-06-11')
create_mock_trades_usdt(fee)
# Try valid data
# /weekly 2
@@ -560,10 +523,10 @@ def test_weekly_handle(default_conf, update, ticker, limit_buy_order, fee,
today = datetime.utcnow().date()
first_iso_day_of_current_week = today - timedelta(days=today.weekday())
assert str(first_iso_day_of_current_week) in msg_mock.call_args_list[0][0][0]
assert str(' 0.00006217 BTC') in msg_mock.call_args_list[0][0][0]
assert str(' 0.933 USD') in msg_mock.call_args_list[0][0][0]
assert str(' 1 trade') in msg_mock.call_args_list[0][0][0]
assert str(' 0 trade') in msg_mock.call_args_list[0][0][0]
assert ' 9.83 USDT' in msg_mock.call_args_list[0][0][0]
assert ' 10.81 USD' in msg_mock.call_args_list[0][0][0]
assert '(3)' in msg_mock.call_args_list[0][0][0]
assert '(0)' in msg_mock.call_args_list[0][0][0]
# Reset msg_mock
msg_mock.reset_mock()
@@ -573,44 +536,10 @@ def test_weekly_handle(default_conf, update, ticker, limit_buy_order, fee,
assert "Weekly Profit over the last 8 weeks (starting from Monday)</b>:" \
in msg_mock.call_args_list[0][0][0]
assert 'Weekly' in msg_mock.call_args_list[0][0][0]
assert str(' 0.00006217 BTC') in msg_mock.call_args_list[0][0][0]
assert str(' 0.933 USD') in msg_mock.call_args_list[0][0][0]
assert str(' 1 trade') in msg_mock.call_args_list[0][0][0]
assert str(' 0 trade') in msg_mock.call_args_list[0][0][0]
# Reset msg_mock
msg_mock.reset_mock()
freqtradebot.config['max_open_trades'] = 2
# Add two other trades
n = freqtradebot.enter_positions()
assert n == 2
trades = Trade.query.all()
for trade in trades:
trade.update_trade(oobj)
trade.update_trade(oobjs)
trade.close_date = datetime.utcnow()
trade.is_open = False
# /weekly 1
# By default, the 8 previous weeks are shown
# So the previous modified trade should be excluded from the stats
context = MagicMock()
context.args = ["1"]
telegram._weekly(update=update, context=context)
assert str(' 0.00018651 BTC') in msg_mock.call_args_list[0][0][0]
assert str(' 2.798 USD') in msg_mock.call_args_list[0][0][0]
assert str(' 3 trades') in msg_mock.call_args_list[0][0][0]
def test_weekly_wrong_input(default_conf, update, ticker, mocker) -> None:
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker
)
telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf)
patch_get_signal(freqtradebot)
assert ' 9.83 USDT' in msg_mock.call_args_list[0][0][0]
assert ' 10.81 USD' in msg_mock.call_args_list[0][0][0]
assert '(3)' in msg_mock.call_args_list[0][0][0]
assert '(0)' in msg_mock.call_args_list[0][0][0]
# Try invalid data
msg_mock.reset_mock()
@@ -629,16 +558,17 @@ def test_weekly_wrong_input(default_conf, update, ticker, mocker) -> None:
context = MagicMock()
context.args = ["this week"]
telegram._weekly(update=update, context=context)
assert str('Weekly Profit over the last 8 weeks (starting from Monday)</b>:') \
assert (
'Weekly Profit over the last 8 weeks (starting from Monday)</b>:'
in msg_mock.call_args_list[0][0][0]
)
def test_monthly_handle(default_conf, update, ticker, limit_buy_order, fee,
limit_sell_order, mocker) -> None:
default_conf['max_open_trades'] = 1
def test_monthly_handle(default_conf_usdt, update, ticker, fee, mocker, time_machine) -> None:
default_conf_usdt['max_open_trades'] = 1
mocker.patch(
'freqtrade.rpc.rpc.CryptoToFiatConverter._find_price',
return_value=15000.0
return_value=1.1
)
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
@@ -646,25 +576,10 @@ def test_monthly_handle(default_conf, update, ticker, limit_buy_order, fee,
get_fee=fee,
)
telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf)
patch_get_signal(freqtradebot)
# Create some test data
freqtradebot.enter_positions()
trade = Trade.query.first()
assert trade
# Simulate fulfilled LIMIT_BUY order for trade
oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
trade.update_trade(oobj)
# Simulate fulfilled LIMIT_SELL order for trade
oobjs = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
trade.update_trade(oobjs)
trade.close_date = datetime.utcnow()
trade.is_open = False
telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf_usdt)
# Move to day within the month so all mock trades fall into this week.
time_machine.move_to('2022-06-11')
create_mock_trades_usdt(fee)
# Try valid data
# /monthly 2
@@ -677,10 +592,10 @@ def test_monthly_handle(default_conf, update, ticker, limit_buy_order, fee,
today = datetime.utcnow().date()
current_month = f"{today.year}-{today.month:02} "
assert current_month in msg_mock.call_args_list[0][0][0]
assert str(' 0.00006217 BTC') in msg_mock.call_args_list[0][0][0]
assert str(' 0.933 USD') in msg_mock.call_args_list[0][0][0]
assert str(' 1 trade') in msg_mock.call_args_list[0][0][0]
assert str(' 0 trade') in msg_mock.call_args_list[0][0][0]
assert ' 9.83 USDT' in msg_mock.call_args_list[0][0][0]
assert ' 10.81 USD' in msg_mock.call_args_list[0][0][0]
assert '(3)' in msg_mock.call_args_list[0][0][0]
assert '(0)' in msg_mock.call_args_list[0][0][0]
# Reset msg_mock
msg_mock.reset_mock()
@@ -691,24 +606,13 @@ def test_monthly_handle(default_conf, update, ticker, limit_buy_order, fee,
assert 'Monthly Profit over the last 6 months</b>:' in msg_mock.call_args_list[0][0][0]
assert 'Month ' in msg_mock.call_args_list[0][0][0]
assert current_month in msg_mock.call_args_list[0][0][0]
assert str(' 0.00006217 BTC') in msg_mock.call_args_list[0][0][0]
assert str(' 0.933 USD') in msg_mock.call_args_list[0][0][0]
assert str(' 1 trade') in msg_mock.call_args_list[0][0][0]
assert str(' 0 trade') in msg_mock.call_args_list[0][0][0]
assert ' 9.83 USDT' in msg_mock.call_args_list[0][0][0]
assert ' 10.81 USD' in msg_mock.call_args_list[0][0][0]
assert '(3)' in msg_mock.call_args_list[0][0][0]
assert '(0)' in msg_mock.call_args_list[0][0][0]
# Reset msg_mock
msg_mock.reset_mock()
freqtradebot.config['max_open_trades'] = 2
# Add two other trades
n = freqtradebot.enter_positions()
assert n == 2
trades = Trade.query.all()
for trade in trades:
trade.update_trade(oobj)
trade.update_trade(oobjs)
trade.close_date = datetime.utcnow()
trade.is_open = False
# /monthly 12
context = MagicMock()
@@ -716,24 +620,14 @@ def test_monthly_handle(default_conf, update, ticker, limit_buy_order, fee,
telegram._monthly(update=update, context=context)
assert msg_mock.call_count == 1
assert 'Monthly Profit over the last 12 months</b>:' in msg_mock.call_args_list[0][0][0]
assert str(' 0.00018651 BTC') in msg_mock.call_args_list[0][0][0]
assert str(' 2.798 USD') in msg_mock.call_args_list[0][0][0]
assert str(' 3 trades') in msg_mock.call_args_list[0][0][0]
assert ' 9.83 USDT' in msg_mock.call_args_list[0][0][0]
assert ' 10.81 USD' in msg_mock.call_args_list[0][0][0]
assert '(3)' in msg_mock.call_args_list[0][0][0]
# The one-digit months should contain a zero, Eg: September 2021 = "2021-09"
# Since we loaded the last 12 months, any month should appear
assert str('-09') in msg_mock.call_args_list[0][0][0]
def test_monthly_wrong_input(default_conf, update, ticker, mocker) -> None:
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker
)
telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf)
patch_get_signal(freqtradebot)
# Try invalid data
msg_mock.reset_mock()
freqtradebot.state = State.RUNNING
@@ -754,16 +648,16 @@ def test_monthly_wrong_input(default_conf, update, ticker, mocker) -> None:
assert str('Monthly Profit over the last 6 months</b>:') in msg_mock.call_args_list[0][0][0]
def test_profit_handle(default_conf, update, ticker, ticker_sell_up, fee,
limit_buy_order, limit_sell_order, mocker) -> None:
mocker.patch('freqtrade.rpc.rpc.CryptoToFiatConverter._find_price', return_value=15000.0)
def test_profit_handle(default_conf_usdt, update, ticker_usdt, ticker_sell_up, fee,
limit_sell_order_usdt, mocker) -> None:
mocker.patch('freqtrade.rpc.rpc.CryptoToFiatConverter._find_price', return_value=1.1)
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker,
fetch_ticker=ticker_usdt,
get_fee=fee,
)
telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf)
telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf_usdt)
patch_get_signal(freqtradebot)
telegram._profit(update=update, context=MagicMock())
@@ -775,10 +669,6 @@ def test_profit_handle(default_conf, update, ticker, ticker_sell_up, fee,
freqtradebot.enter_positions()
trade = Trade.query.first()
# Simulate fulfilled LIMIT_BUY order for trade
oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
trade.update_trade(oobj)
context = MagicMock()
# Test with invalid 2nd argument (should silently pass)
context.args = ["aaa"]
@@ -786,15 +676,16 @@ def test_profit_handle(default_conf, update, ticker, ticker_sell_up, fee,
assert msg_mock.call_count == 1
assert 'No closed trade' in msg_mock.call_args_list[-1][0][0]
assert '*ROI:* All trades' in msg_mock.call_args_list[-1][0][0]
mocker.patch('freqtrade.wallets.Wallets.get_starting_balance', return_value=0.01)
assert ('∙ `-0.000005 BTC (-0.50%) (-0.0 \N{GREEK CAPITAL LETTER SIGMA}%)`'
mocker.patch('freqtrade.wallets.Wallets.get_starting_balance', return_value=1000)
assert ('∙ `0.298 USDT (0.50%) (0.03 \N{GREEK CAPITAL LETTER SIGMA}%)`'
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.fetch_ticker', ticker_sell_up)
# Simulate fulfilled LIMIT_SELL order for trade
oobj = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
oobj = Order.parse_from_ccxt_object(
limit_sell_order_usdt, limit_sell_order_usdt['symbol'], 'sell')
trade.update_trade(oobj)
trade.close_date = datetime.now(timezone.utc)
@@ -805,20 +696,22 @@ def test_profit_handle(default_conf, update, ticker, ticker_sell_up, fee,
telegram._profit(update=update, context=context)
assert msg_mock.call_count == 1
assert '*ROI:* Closed trades' in msg_mock.call_args_list[-1][0][0]
assert ('∙ `0.00006217 BTC (6.20%) (0.62 \N{GREEK CAPITAL LETTER SIGMA}%)`'
assert ('∙ `5.685 USDT (9.45%) (0.57 \N{GREEK CAPITAL LETTER SIGMA}%)`'
in msg_mock.call_args_list[-1][0][0])
assert '∙ `0.933 USD`' in msg_mock.call_args_list[-1][0][0]
assert '∙ `6.253 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%) (0.62 \N{GREEK CAPITAL LETTER SIGMA}%)`'
assert ('∙ `5.685 USDT (9.45%) (0.57 \N{GREEK CAPITAL LETTER SIGMA}%)`'
in msg_mock.call_args_list[-1][0][0])
assert '∙ `0.933 USD`' in msg_mock.call_args_list[-1][0][0]
assert '∙ `6.253 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]
assert '*Best Performing:* `ETH/USDT: 9.45%`' in msg_mock.call_args_list[-1][0][0]
assert '*Max Drawdown:*' in msg_mock.call_args_list[-1][0][0]
assert '*Profit factor:*' in msg_mock.call_args_list[-1][0][0]
assert '*Trading volume:* `60 USDT`' in msg_mock.call_args_list[-1][0][0]
@pytest.mark.parametrize('is_short', [True, False])
def test_telegram_stats(default_conf, update, ticker, ticker_sell_up, fee,
limit_buy_order, limit_sell_order, mocker, is_short) -> None:
def test_telegram_stats(default_conf, update, ticker, fee, mocker, is_short) -> None:
mocker.patch('freqtrade.rpc.rpc.CryptoToFiatConverter._find_price', return_value=15000.0)
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
@@ -1350,71 +1243,43 @@ def test_force_enter_no_pair(default_conf, update, mocker) -> None:
assert fbuy_mock.call_count == 1
def test_telegram_performance_handle(default_conf, update, ticker, fee,
limit_buy_order, limit_sell_order, mocker) -> None:
def test_telegram_performance_handle(default_conf_usdt, update, ticker, fee, mocker) -> None:
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker,
get_fee=fee,
)
telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf)
patch_get_signal(freqtradebot)
telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf_usdt)
# Create some test data
freqtradebot.enter_positions()
trade = Trade.query.first()
assert trade
create_mock_trades_usdt(fee)
# Simulate fulfilled LIMIT_BUY order for trade
oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
trade.update_trade(oobj)
# Simulate fulfilled LIMIT_SELL order for trade
oobj = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
trade.update_trade(oobj)
trade.close_date = datetime.utcnow()
trade.is_open = False
telegram._performance(update=update, context=MagicMock())
assert msg_mock.call_count == 1
assert 'Performance' in msg_mock.call_args_list[0][0][0]
assert '<code>ETH/BTC\t0.00006217 BTC (6.20%) (1)</code>' in msg_mock.call_args_list[0][0][0]
assert '<code>XRP/USDT\t9.842 USDT (10.00%) (1)</code>' in msg_mock.call_args_list[0][0][0]
def test_telegram_entry_tag_performance_handle(
default_conf, update, ticker, fee, limit_buy_order, limit_sell_order, mocker) -> None:
default_conf_usdt, update, ticker, fee, mocker) -> None:
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker,
get_fee=fee,
)
telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf)
telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf_usdt)
patch_get_signal(freqtradebot)
# Create some test data
freqtradebot.enter_positions()
trade = Trade.query.first()
assert trade
create_mock_trades_usdt(fee)
# Simulate fulfilled LIMIT_BUY order for trade
oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
trade.update_trade(oobj)
trade.enter_tag = "TESTBUY"
# Simulate fulfilled LIMIT_SELL order for trade
oobj = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
trade.update_trade(oobj)
trade.close_date = datetime.utcnow()
trade.is_open = False
context = MagicMock()
telegram._enter_tag_performance(update=update, context=context)
assert msg_mock.call_count == 1
assert 'Entry Tag Performance' in msg_mock.call_args_list[0][0][0]
assert '<code>TESTBUY\t0.00006217 BTC (6.20%) (1)</code>' in msg_mock.call_args_list[0][0][0]
assert '<code>TEST1\t3.987 USDT (5.00%) (1)</code>' in msg_mock.call_args_list[0][0][0]
context.args = [trade.pair]
context.args = ['XRP/USDT']
telegram._enter_tag_performance(update=update, context=context)
assert msg_mock.call_count == 2
@@ -1427,37 +1292,24 @@ def test_telegram_entry_tag_performance_handle(
assert "Error" in msg_mock.call_args_list[0][0][0]
def test_telegram_exit_reason_performance_handle(default_conf, update, ticker, fee,
limit_buy_order, limit_sell_order, mocker) -> None:
def test_telegram_exit_reason_performance_handle(default_conf_usdt, update, ticker, fee,
mocker) -> None:
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker,
get_fee=fee,
)
telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf)
telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf_usdt)
patch_get_signal(freqtradebot)
# Create some test data
freqtradebot.enter_positions()
trade = Trade.query.first()
assert trade
trade.exit_reason = 'TESTSELL'
# Simulate fulfilled LIMIT_BUY order for trade
oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
trade.update_trade(oobj)
create_mock_trades_usdt(fee)
# Simulate fulfilled LIMIT_SELL order for trade
oobj = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
trade.update_trade(oobj)
trade.close_date = datetime.utcnow()
trade.is_open = False
context = MagicMock()
telegram._exit_reason_performance(update=update, context=context)
assert msg_mock.call_count == 1
assert 'Exit Reason Performance' in msg_mock.call_args_list[0][0][0]
assert '<code>TESTSELL\t0.00006217 BTC (6.20%) (1)</code>' in msg_mock.call_args_list[0][0][0]
context.args = [trade.pair]
assert '<code>roi\t9.842 USDT (10.00%) (1)</code>' in msg_mock.call_args_list[0][0][0]
context.args = ['XRP/USDT']
telegram._exit_reason_performance(update=update, context=context)
assert msg_mock.call_count == 2
@@ -1471,43 +1323,27 @@ def test_telegram_exit_reason_performance_handle(default_conf, update, ticker, f
assert "Error" in msg_mock.call_args_list[0][0][0]
def test_telegram_mix_tag_performance_handle(default_conf, update, ticker, fee,
limit_buy_order, limit_sell_order, mocker) -> None:
def test_telegram_mix_tag_performance_handle(default_conf_usdt, update, ticker, fee,
mocker) -> None:
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker,
get_fee=fee,
)
telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf)
telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf_usdt)
patch_get_signal(freqtradebot)
# Create some test data
freqtradebot.enter_positions()
trade = Trade.query.first()
assert trade
trade.enter_tag = "TESTBUY"
trade.exit_reason = "TESTSELL"
# Simulate fulfilled LIMIT_BUY order for trade
oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
trade.update_trade(oobj)
# Simulate fulfilled LIMIT_SELL order for trade
oobj = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
trade.update_trade(oobj)
trade.close_date = datetime.utcnow()
trade.is_open = False
create_mock_trades_usdt(fee)
context = MagicMock()
telegram._mix_tag_performance(update=update, context=context)
assert msg_mock.call_count == 1
assert 'Mix Tag Performance' in msg_mock.call_args_list[0][0][0]
assert ('<code>TESTBUY TESTSELL\t0.00006217 BTC (6.20%) (1)</code>'
assert ('<code>TEST3 roi\t9.842 USDT (10.00%) (1)</code>'
in msg_mock.call_args_list[0][0][0])
context.args = [trade.pair]
context.args = ['XRP/USDT']
telegram._mix_tag_performance(update=update, context=context)
assert msg_mock.call_count == 2
@@ -1820,8 +1656,17 @@ def test_show_config_handle(default_conf, update, mocker) -> None:
(RPCMessageType.ENTRY, 'Long', 'long_signal_01', 1.0),
(RPCMessageType.ENTRY, 'Long', 'long_signal_01', 5.0),
(RPCMessageType.ENTRY, 'Short', 'short_signal_01', 2.0)])
def test_send_msg_buy_notification(default_conf, mocker, caplog, message_type,
enter, enter_signal, leverage) -> None:
def test_send_msg_enter_notification(default_conf, mocker, caplog, message_type,
enter, enter_signal, leverage) -> None:
default_conf['telegram']['notification_settings']['show_candle'] = 'ohlc'
df = DataFrame({
'open': [1.1],
'high': [2.2],
'low': [1.0],
'close': [1.5],
})
mocker.patch('freqtrade.data.dataprovider.DataProvider.get_analyzed_dataframe',
return_value=(df, 1))
msg = {
'type': message_type,
@@ -1839,6 +1684,7 @@ def test_send_msg_buy_notification(default_conf, mocker, caplog, message_type,
'fiat_currency': 'USD',
'current_rate': 1.099e-05,
'amount': 1333.3333333333335,
'analyzed_candle': {'open': 1.1, 'high': 2.2, 'low': 1.0, 'close': 1.5},
'open_date': arrow.utcnow().shift(hours=-1)
}
telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf)
@@ -1847,7 +1693,8 @@ def test_send_msg_buy_notification(default_conf, mocker, caplog, message_type,
leverage_text = f'*Leverage:* `{leverage}`\n' if leverage and leverage != 1.0 else ''
assert msg_mock.call_args[0][0] == (
f'\N{LARGE BLUE CIRCLE} *Binance:* {enter} ETH/BTC (#1)\n'
f'\N{LARGE BLUE CIRCLE} *Binance (dry):* {enter} ETH/BTC (#1)\n'
'*Candle OHLC*: `1.1, 2.2, 1.0, 1.5`\n'
f'*Enter Tag:* `{enter_signal}`\n'
'*Amount:* `1333.33333333`\n'
f'{leverage_text}'
@@ -1875,7 +1722,8 @@ def test_send_msg_buy_notification(default_conf, mocker, caplog, message_type,
@pytest.mark.parametrize('message_type,enter_signal', [
(RPCMessageType.ENTRY_CANCEL, 'long_signal_01'),
(RPCMessageType.ENTRY_CANCEL, 'short_signal_01')])
def test_send_msg_buy_cancel_notification(default_conf, mocker, message_type, enter_signal) -> None:
def test_send_msg_enter_cancel_notification(
default_conf, mocker, message_type, enter_signal) -> None:
telegram, _, msg_mock = get_telegram_testobject(mocker, default_conf)
@@ -1887,7 +1735,7 @@ def test_send_msg_buy_cancel_notification(default_conf, mocker, message_type, en
'pair': 'ETH/BTC',
'reason': CANCEL_REASON['TIMEOUT']
})
assert (msg_mock.call_args[0][0] == '\N{WARNING SIGN} *Binance:* '
assert (msg_mock.call_args[0][0] == '\N{WARNING SIGN} *Binance (dry):* '
'Cancelling enter Order for ETH/BTC (#1). '
'Reason: cancelled due to timeout.')
@@ -1949,7 +1797,7 @@ def test_send_msg_entry_fill_notification(default_conf, mocker, message_type, en
})
leverage_text = f'*Leverage:* `{leverage}`\n' if leverage != 1.0 else ''
assert msg_mock.call_args[0][0] == (
f'\N{CHECK MARK} *Binance:* {entered}ed ETH/BTC (#1)\n'
f'\N{CHECK MARK} *Binance (dry):* {entered}ed ETH/BTC (#1)\n'
f'*Enter Tag:* `{enter_signal}`\n'
'*Amount:* `1333.33333333`\n'
f"{leverage_text}"
@@ -1987,7 +1835,7 @@ def test_send_msg_sell_notification(default_conf, mocker) -> None:
'close_date': arrow.utcnow(),
})
assert msg_mock.call_args[0][0] == (
'\N{WARNING SIGN} *Binance:* Exiting KEY/ETH (#1)\n'
'\N{WARNING SIGN} *Binance (dry):* Exiting KEY/ETH (#1)\n'
'*Unrealized Profit:* `-57.41% (loss: -0.05746268 ETH / -24.812 USD)`\n'
'*Enter Tag:* `buy_signal1`\n'
'*Exit Reason:* `stop_loss`\n'
@@ -2021,7 +1869,7 @@ def test_send_msg_sell_notification(default_conf, mocker) -> None:
'close_date': arrow.utcnow(),
})
assert msg_mock.call_args[0][0] == (
'\N{WARNING SIGN} *Binance:* Exiting KEY/ETH (#1)\n'
'\N{WARNING SIGN} *Binance (dry):* Exiting KEY/ETH (#1)\n'
'*Unrealized Profit:* `-57.41%`\n'
'*Enter Tag:* `buy_signal1`\n'
'*Exit Reason:* `stop_loss`\n'
@@ -2050,10 +1898,12 @@ def test_send_msg_sell_cancel_notification(default_conf, mocker) -> None:
'reason': 'Cancelled on exchange'
})
assert msg_mock.call_args[0][0] == (
'\N{WARNING SIGN} *Binance:* Cancelling exit Order for KEY/ETH (#1).'
'\N{WARNING SIGN} *Binance (dry):* Cancelling exit Order for KEY/ETH (#1).'
' Reason: Cancelled on exchange.')
msg_mock.reset_mock()
# Test with live mode (no dry appendix)
telegram._config['dry_run'] = False
telegram.send_msg({
'type': RPCMessageType.EXIT_CANCEL,
'trade_id': 1,
@@ -2102,7 +1952,7 @@ def test_send_msg_sell_fill_notification(default_conf, mocker, direction,
leverage_text = f'*Leverage:* `{leverage}`\n' if leverage and leverage != 1.0 else ''
assert msg_mock.call_args[0][0] == (
'\N{WARNING SIGN} *Binance:* Exited KEY/ETH (#1)\n'
'\N{WARNING SIGN} *Binance (dry):* Exited KEY/ETH (#1)\n'
'*Profit:* `-57.41%`\n'
f'*Enter Tag:* `{enter_signal}`\n'
'*Exit Reason:* `stop_loss`\n'
@@ -2158,6 +2008,7 @@ def test_send_msg_unknown_type(default_conf, mocker) -> None:
def test_send_msg_buy_notification_no_fiat(
default_conf, mocker, message_type, enter, enter_signal, leverage) -> None:
del default_conf['fiat_display_currency']
default_conf['dry_run'] = False
telegram, _, msg_mock = get_telegram_testobject(mocker, default_conf)
telegram.send_msg({
@@ -2227,7 +2078,7 @@ def test_send_msg_sell_notification_no_fiat(
leverage_text = f'*Leverage:* `{leverage}`\n' if leverage and leverage != 1.0 else ''
assert msg_mock.call_args[0][0] == (
'\N{WARNING SIGN} *Binance:* Exiting KEY/ETH (#1)\n'
'\N{WARNING SIGN} *Binance (dry):* Exiting KEY/ETH (#1)\n'
'*Unrealized Profit:* `-57.41%`\n'
f'*Enter Tag:* `{enter_signal}`\n'
'*Exit Reason:* `stop_loss`\n'

View File

@@ -1,5 +1,6 @@
# pragma pylint: disable=missing-docstring, C0103, protected-access
from datetime import datetime, timedelta
from unittest.mock import MagicMock
import pytest
@@ -7,6 +8,7 @@ from requests import RequestException
from freqtrade.enums import ExitType, RPCMessageType
from freqtrade.rpc import RPC
from freqtrade.rpc.discord import Discord
from freqtrade.rpc.webhook import Webhook
from tests.conftest import get_patched_freqtradebot, log_has
@@ -406,3 +408,42 @@ def test__send_msg_with_raw_format(default_conf, mocker, caplog):
webhook._send_msg(msg)
assert post.call_args[1] == {'data': msg['data'], 'headers': {'Content-Type': 'text/plain'}}
def test_send_msg_discord(default_conf, mocker):
default_conf["discord"] = {
'enabled': True,
'webhook_url': "https://webhookurl..."
}
msg_mock = MagicMock()
mocker.patch("freqtrade.rpc.webhook.Webhook._send_msg", msg_mock)
discord = Discord(RPC(get_patched_freqtradebot(mocker, default_conf)), default_conf)
msg = {
'type': RPCMessageType.EXIT_FILL,
'trade_id': 1,
'exchange': 'Binance',
'pair': 'ETH/BTC',
'direction': 'Long',
'gain': "profit",
'close_rate': 0.005,
'amount': 0.8,
'order_type': 'limit',
'open_date': datetime.now() - timedelta(days=1),
'close_date': datetime.now(),
'open_rate': 0.004,
'current_rate': 0.005,
'profit_amount': 0.001,
'profit_ratio': 0.20,
'stake_currency': 'BTC',
'enter_tag': 'enter_tagggg',
'exit_reason': ExitType.STOP_LOSS.value,
}
discord.send_msg(msg=msg)
assert msg_mock.call_count == 1
assert 'embeds' in msg_mock.call_args_list[0][0][0]
assert 'title' in msg_mock.call_args_list[0][0][0]['embeds'][0]
assert 'color' in msg_mock.call_args_list[0][0][0]['embeds'][0]
assert 'fields' in msg_mock.call_args_list[0][0][0]['embeds'][0]

View File

@@ -1,13 +1,13 @@
# pragma pylint: disable=missing-docstring, invalid-name, pointless-string-statement
from pandas import DataFrame
from strategy_test_v2 import StrategyTestV2
from strategy_test_v3 import StrategyTestV3
import freqtrade.vendor.qtpylib.indicators as qtpylib
from freqtrade.strategy import BooleanParameter, DecimalParameter, IntParameter, RealParameter
class HyperoptableStrategy(StrategyTestV2):
class HyperoptableStrategy(StrategyTestV3):
"""
Default Strategy provided by freqtrade bot.
Please do not modify this strategy, it's intended for internal use only.
@@ -27,7 +27,6 @@ class HyperoptableStrategy(StrategyTestV2):
'sell_minusdi': 0.4
}
buy_rsi = IntParameter([0, 50], default=30, space='buy')
buy_plusdi = RealParameter(low=0, high=1, default=0.5, space='buy')
sell_rsi = IntParameter(low=50, high=100, default=70, space='sell')
sell_minusdi = DecimalParameter(low=0, high=1, default=0.5001, decimals=3, space='sell',
@@ -45,6 +44,17 @@ class HyperoptableStrategy(StrategyTestV2):
})
return prot
bot_loop_started = False
def bot_loop_start(self):
self.bot_loop_started = True
def bot_start(self, **kwargs) -> None:
"""
Parameters can also be defined here ...
"""
self.buy_rsi = IntParameter([0, 50], default=30, space='buy')
def informative_pairs(self):
"""
Define additional, informative pair/interval combinations to be cached from the exchange.

View File

@@ -0,0 +1,54 @@
# pragma pylint: disable=missing-docstring, invalid-name, pointless-string-statement
from strategy_test_v2 import StrategyTestV2
from freqtrade.strategy import BooleanParameter, DecimalParameter, IntParameter, RealParameter
class HyperoptableStrategyV2(StrategyTestV2):
"""
Default Strategy provided by freqtrade bot.
Please do not modify this strategy, it's intended for internal use only.
Please look at the SampleStrategy in the user_data/strategy directory
or strategy repository https://github.com/freqtrade/freqtrade-strategies
for samples and inspiration.
"""
buy_params = {
'buy_rsi': 35,
# Intentionally not specified, so "default" is tested
# 'buy_plusdi': 0.4
}
sell_params = {
'sell_rsi': 74,
'sell_minusdi': 0.4
}
buy_plusdi = RealParameter(low=0, high=1, default=0.5, space='buy')
sell_rsi = IntParameter(low=50, high=100, default=70, space='sell')
sell_minusdi = DecimalParameter(low=0, high=1, default=0.5001, decimals=3, space='sell',
load=False)
protection_enabled = BooleanParameter(default=True)
protection_cooldown_lookback = IntParameter([0, 50], default=30)
@property
def protections(self):
prot = []
if self.protection_enabled.value:
prot.append({
"method": "CooldownPeriod",
"stop_duration_candles": self.protection_cooldown_lookback.value
})
return prot
bot_loop_started = False
def bot_loop_start(self):
self.bot_loop_started = True
def bot_start(self, **kwargs) -> None:
"""
Parameters can also be defined here ...
"""
self.buy_rsi = IntParameter([0, 50], default=30, space='buy')

View File

@@ -1,12 +1,9 @@
# pragma pylint: disable=missing-docstring, invalid-name, pointless-string-statement
from datetime import datetime
import talib.abstract as ta
from pandas import DataFrame
import freqtrade.vendor.qtpylib.indicators as qtpylib
from freqtrade.persistence import Trade
from freqtrade.strategy import IStrategy
@@ -149,12 +146,3 @@ class StrategyTestV2(IStrategy):
),
'sell'] = 1
return dataframe
def adjust_trade_position(self, trade: Trade, current_time: datetime, current_rate: float,
current_profit: float, min_stake: float, max_stake: float, **kwargs):
if current_profit < -0.0075:
orders = trade.select_filled_orders('buy')
return round(orders[0].cost, 0)
return None

View File

@@ -1,6 +1,7 @@
# pragma pylint: disable=missing-docstring, invalid-name, pointless-string-statement
from datetime import datetime
from typing import Optional
import talib.abstract as ta
from pandas import DataFrame
@@ -177,15 +178,16 @@ class StrategyTestV3(IStrategy):
return dataframe
def leverage(self, pair: str, current_time: datetime, current_rate: float,
proposed_leverage: float, max_leverage: float, side: str,
**kwargs) -> float:
proposed_leverage: float, max_leverage: float, entry_tag: Optional[str],
side: str, **kwargs) -> float:
# Return 3.0 in all cases.
# Bot-logic must make sure it's an allowed leverage and eventually adjust accordingly.
return 3.0
def adjust_trade_position(self, trade: Trade, current_time: datetime, current_rate: float,
current_profit: float, min_stake: float, max_stake: float, **kwargs):
current_profit: float,
min_stake: Optional[float], max_stake: float, **kwargs):
if current_profit < -0.0075:
orders = trade.select_filled_orders(trade.entry_side)

View File

@@ -0,0 +1,175 @@
# pragma pylint: disable=missing-docstring, invalid-name, pointless-string-statement
import talib.abstract as ta
from pandas import DataFrame
import freqtrade.vendor.qtpylib.indicators as qtpylib
from freqtrade.strategy import (BooleanParameter, DecimalParameter, IntParameter, IStrategy,
RealParameter)
class StrategyTestV3Analysis(IStrategy):
"""
Strategy used by tests freqtrade bot.
Please do not modify this strategy, it's intended for internal use only.
Please look at the SampleStrategy in the user_data/strategy directory
or strategy repository https://github.com/freqtrade/freqtrade-strategies
for samples and inspiration.
"""
INTERFACE_VERSION = 3
# Minimal ROI designed for the strategy
minimal_roi = {
"40": 0.0,
"30": 0.01,
"20": 0.02,
"0": 0.04
}
# Optimal stoploss designed for the strategy
stoploss = -0.10
# Optimal timeframe for the strategy
timeframe = '5m'
# Optional order type mapping
order_types = {
'entry': 'limit',
'exit': 'limit',
'stoploss': 'limit',
'stoploss_on_exchange': False
}
# Number of candles the strategy requires before producing valid signals
startup_candle_count: int = 20
# Optional time in force for orders
order_time_in_force = {
'entry': 'gtc',
'exit': 'gtc',
}
buy_params = {
'buy_rsi': 35,
# Intentionally not specified, so "default" is tested
# 'buy_plusdi': 0.4
}
sell_params = {
'sell_rsi': 74,
'sell_minusdi': 0.4
}
buy_rsi = IntParameter([0, 50], default=30, space='buy')
buy_plusdi = RealParameter(low=0, high=1, default=0.5, space='buy')
sell_rsi = IntParameter(low=50, high=100, default=70, space='sell')
sell_minusdi = DecimalParameter(low=0, high=1, default=0.5001, decimals=3, space='sell',
load=False)
protection_enabled = BooleanParameter(default=True)
protection_cooldown_lookback = IntParameter([0, 50], default=30)
# TODO: Can this work with protection tests? (replace HyperoptableStrategy implicitly ... )
# @property
# def protections(self):
# prot = []
# if self.protection_enabled.value:
# prot.append({
# "method": "CooldownPeriod",
# "stop_duration_candles": self.protection_cooldown_lookback.value
# })
# return prot
bot_started = False
def bot_start(self):
self.bot_started = True
def informative_pairs(self):
return []
def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
# Momentum Indicator
# ------------------------------------
# ADX
dataframe['adx'] = ta.ADX(dataframe)
# MACD
macd = ta.MACD(dataframe)
dataframe['macd'] = macd['macd']
dataframe['macdsignal'] = macd['macdsignal']
dataframe['macdhist'] = macd['macdhist']
# Minus Directional Indicator / Movement
dataframe['minus_di'] = ta.MINUS_DI(dataframe)
# Plus Directional Indicator / Movement
dataframe['plus_di'] = ta.PLUS_DI(dataframe)
# RSI
dataframe['rsi'] = ta.RSI(dataframe)
# Stoch fast
stoch_fast = ta.STOCHF(dataframe)
dataframe['fastd'] = stoch_fast['fastd']
dataframe['fastk'] = stoch_fast['fastk']
# Bollinger bands
bollinger = qtpylib.bollinger_bands(qtpylib.typical_price(dataframe), window=20, stds=2)
dataframe['bb_lowerband'] = bollinger['lower']
dataframe['bb_middleband'] = bollinger['mid']
dataframe['bb_upperband'] = bollinger['upper']
# EMA - Exponential Moving Average
dataframe['ema10'] = ta.EMA(dataframe, timeperiod=10)
return dataframe
def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
dataframe.loc[
(
(dataframe['rsi'] < self.buy_rsi.value) &
(dataframe['fastd'] < 35) &
(dataframe['adx'] > 30) &
(dataframe['plus_di'] > self.buy_plusdi.value)
) |
(
(dataframe['adx'] > 65) &
(dataframe['plus_di'] > self.buy_plusdi.value)
),
['enter_long', 'enter_tag']] = 1, 'enter_tag_long'
dataframe.loc[
(
qtpylib.crossed_below(dataframe['rsi'], self.sell_rsi.value)
),
['enter_short', 'enter_tag']] = 1, 'enter_tag_short'
return dataframe
def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
dataframe.loc[
(
(
(qtpylib.crossed_above(dataframe['rsi'], self.sell_rsi.value)) |
(qtpylib.crossed_above(dataframe['fastd'], 70))
) &
(dataframe['adx'] > 10) &
(dataframe['minus_di'] > 0)
) |
(
(dataframe['adx'] > 70) &
(dataframe['minus_di'] > self.sell_minusdi.value)
),
['exit_long', 'exit_tag']] = 1, 'exit_tag_long'
dataframe.loc[
(
qtpylib.crossed_above(dataframe['rsi'], self.buy_rsi.value)
),
['exit_long', 'exit_tag']] = 1, 'exit_tag_short'
return dataframe

View File

@@ -16,10 +16,12 @@ from freqtrade.exceptions import OperationalException, StrategyError
from freqtrade.optimize.space import SKDecimal
from freqtrade.persistence import PairLocks, Trade
from freqtrade.resolvers import StrategyResolver
from freqtrade.strategy.hyper import (BaseParameter, BooleanParameter, CategoricalParameter,
DecimalParameter, IntParameter, RealParameter)
from freqtrade.strategy.hyper import detect_parameters
from freqtrade.strategy.parameters import (BaseParameter, BooleanParameter, CategoricalParameter,
DecimalParameter, IntParameter, RealParameter)
from freqtrade.strategy.strategy_wrapper import strategy_safe_wrapper
from tests.conftest import CURRENT_TEST_STRATEGY, TRADE_SIDES, log_has, log_has_re
from tests.conftest import (CURRENT_TEST_STRATEGY, TRADE_SIDES, create_mock_trades, log_has,
log_has_re)
from .strats.strategy_test_v3 import StrategyTestV3
@@ -495,37 +497,113 @@ def test_custom_exit(default_conf, fee, caplog) -> None:
enter=False, exit_=False,
low=None, high=None)
assert res.exit_flag is False
assert res.exit_type == ExitType.NONE
assert res == []
strategy.custom_exit = MagicMock(return_value=True)
res = strategy.should_exit(trade, 1, now,
enter=False, exit_=False,
low=None, high=None)
assert res.exit_flag is True
assert res.exit_type == ExitType.CUSTOM_EXIT
assert res.exit_reason == 'custom_exit'
assert res[0].exit_flag is True
assert res[0].exit_type == ExitType.CUSTOM_EXIT
assert res[0].exit_reason == 'custom_exit'
strategy.custom_exit = MagicMock(return_value='hello world')
res = strategy.should_exit(trade, 1, now,
enter=False, exit_=False,
low=None, high=None)
assert res.exit_type == ExitType.CUSTOM_EXIT
assert res.exit_flag is True
assert res.exit_reason == 'hello world'
assert res[0].exit_type == ExitType.CUSTOM_EXIT
assert res[0].exit_flag is True
assert res[0].exit_reason == 'hello world'
caplog.clear()
strategy.custom_exit = MagicMock(return_value='h' * 100)
res = strategy.should_exit(trade, 1, now,
enter=False, exit_=False,
low=None, high=None)
assert res.exit_type == ExitType.CUSTOM_EXIT
assert res.exit_flag is True
assert res.exit_reason == 'h' * 64
assert res[0].exit_type == ExitType.CUSTOM_EXIT
assert res[0].exit_flag is True
assert res[0].exit_reason == 'h' * 64
assert log_has_re('Custom exit reason returned from custom_exit is too long.*', caplog)
def test_should_sell(default_conf, fee) -> None:
strategy = StrategyResolver.load_strategy(default_conf)
trade = Trade(
pair='ETH/BTC',
stake_amount=0.01,
amount=1,
open_date=arrow.utcnow().shift(hours=-1).datetime,
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='binance',
open_rate=1,
)
now = arrow.utcnow().datetime
res = strategy.should_exit(trade, 1, now,
enter=False, exit_=False,
low=None, high=None)
assert res == []
strategy.min_roi_reached = MagicMock(return_value=True)
res = strategy.should_exit(trade, 1, now,
enter=False, exit_=False,
low=None, high=None)
assert len(res) == 1
assert res == [ExitCheckTuple(exit_type=ExitType.ROI)]
strategy.min_roi_reached = MagicMock(return_value=True)
strategy.stop_loss_reached = MagicMock(
return_value=ExitCheckTuple(exit_type=ExitType.STOP_LOSS))
res = strategy.should_exit(trade, 1, now,
enter=False, exit_=False,
low=None, high=None)
assert len(res) == 2
assert res == [
ExitCheckTuple(exit_type=ExitType.STOP_LOSS),
ExitCheckTuple(exit_type=ExitType.ROI),
]
strategy.custom_exit = MagicMock(return_value='hello world')
# custom-exit and exit-signal is first
res = strategy.should_exit(trade, 1, now,
enter=False, exit_=False,
low=None, high=None)
assert len(res) == 3
assert res == [
ExitCheckTuple(exit_type=ExitType.CUSTOM_EXIT, exit_reason='hello world'),
ExitCheckTuple(exit_type=ExitType.STOP_LOSS),
ExitCheckTuple(exit_type=ExitType.ROI),
]
strategy.stop_loss_reached = MagicMock(
return_value=ExitCheckTuple(exit_type=ExitType.TRAILING_STOP_LOSS))
# Regular exit signal
res = strategy.should_exit(trade, 1, now,
enter=False, exit_=True,
low=None, high=None)
assert len(res) == 3
assert res == [
ExitCheckTuple(exit_type=ExitType.EXIT_SIGNAL),
ExitCheckTuple(exit_type=ExitType.ROI),
ExitCheckTuple(exit_type=ExitType.TRAILING_STOP_LOSS),
]
# Regular exit signal, no ROI
strategy.min_roi_reached = MagicMock(return_value=False)
res = strategy.should_exit(trade, 1, now,
enter=False, exit_=True,
low=None, high=None)
assert len(res) == 2
assert res == [
ExitCheckTuple(exit_type=ExitType.EXIT_SIGNAL),
ExitCheckTuple(exit_type=ExitType.TRAILING_STOP_LOSS),
]
@pytest.mark.parametrize('side', TRADE_SIDES)
def test_leverage_callback(default_conf, side) -> None:
default_conf['strategy'] = 'StrategyTestV2'
@@ -538,6 +616,7 @@ def test_leverage_callback(default_conf, side) -> None:
proposed_leverage=1.0,
max_leverage=5.0,
side=side,
entry_tag=None,
) == 1
default_conf['strategy'] = CURRENT_TEST_STRATEGY
@@ -549,6 +628,7 @@ def test_leverage_callback(default_conf, side) -> None:
proposed_leverage=1.0,
max_leverage=5.0,
side=side,
entry_tag='entry_tag_test',
) == 3
@@ -733,6 +813,28 @@ def test_strategy_safe_wrapper(value):
assert ret == value
@pytest.mark.usefixtures("init_persistence")
def test_strategy_safe_wrapper_trade_copy(fee):
create_mock_trades(fee)
def working_method(trade):
assert len(trade.orders) > 0
assert trade.orders
trade.orders = []
assert len(trade.orders) == 0
return trade
trade = Trade.get_open_trades()[0]
# Don't assert anything before strategy_wrapper.
# This ensures that relationship loading works correctly.
ret = strategy_safe_wrapper(working_method, message='DeadBeef')(trade=trade)
assert isinstance(ret, Trade)
assert id(trade) != id(ret)
# Did not modify the original order
assert len(trade.orders) > 0
assert len(ret.orders) == 0
def test_hyperopt_parameters():
from skopt.space import Categorical, Integer, Real
with pytest.raises(OperationalException, match=r"Name is determined.*"):
@@ -814,10 +916,10 @@ def test_hyperopt_parameters():
def test_auto_hyperopt_interface(default_conf):
default_conf.update({'strategy': 'HyperoptableStrategy'})
default_conf.update({'strategy': 'HyperoptableStrategyV2'})
PairLocks.timeframe = default_conf['timeframe']
strategy = StrategyResolver.load_strategy(default_conf)
strategy.ft_bot_start()
with pytest.raises(OperationalException):
next(strategy.enumerate_parameters('deadBeef'))
@@ -832,15 +934,18 @@ def test_auto_hyperopt_interface(default_conf):
assert strategy.sell_minusdi.value == 0.5
all_params = strategy.detect_all_parameters()
assert isinstance(all_params, dict)
assert len(all_params['buy']) == 2
# Only one buy param at class level
assert len(all_params['buy']) == 1
# Running detect params at instance level reveals both parameters.
assert len(list(detect_parameters(strategy, 'buy'))) == 2
assert len(all_params['sell']) == 2
# Number of Hyperoptable parameters
assert all_params['count'] == 6
assert all_params['count'] == 5
strategy.__class__.sell_rsi = IntParameter([0, 10], default=5, space='buy')
with pytest.raises(OperationalException, match=r"Inconclusive parameter.*"):
[x for x in strategy.detect_parameters('sell')]
[x for x in detect_parameters(strategy, 'sell')]
def test_auto_hyperopt_interface_loadparams(default_conf, mocker, caplog):

View File

@@ -34,7 +34,7 @@ def test_search_all_strategies_no_failed():
directory = Path(__file__).parent / "strats"
strategies = StrategyResolver.search_all_objects(directory, enum_failed=False)
assert isinstance(strategies, list)
assert len(strategies) == 5
assert len(strategies) == 7
assert isinstance(strategies[0], dict)
@@ -42,10 +42,10 @@ def test_search_all_strategies_with_failed():
directory = Path(__file__).parent / "strats"
strategies = StrategyResolver.search_all_objects(directory, enum_failed=True)
assert isinstance(strategies, list)
assert len(strategies) == 6
assert len(strategies) == 8
# with enum_failed=True search_all_objects() shall find 2 good strategies
# and 1 which fails to load
assert len([x for x in strategies if x['class'] is not None]) == 5
assert len([x for x in strategies if x['class'] is not None]) == 7
assert len([x for x in strategies if x['class'] is None]) == 1
@@ -224,12 +224,12 @@ def test_strategy_override_process_only_new_candles(caplog, default_conf):
default_conf.update({
'strategy': CURRENT_TEST_STRATEGY,
'process_only_new_candles': True
'process_only_new_candles': False
})
strategy = StrategyResolver.load_strategy(default_conf)
assert strategy.process_only_new_candles
assert log_has("Override strategy 'process_only_new_candles' with value in config file: True.",
assert not strategy.process_only_new_candles
assert log_has("Override strategy 'process_only_new_candles' with value in config file: False.",
caplog)

View File

@@ -210,13 +210,14 @@ def test_edge_overrides_stoploss(limit_order, fee, caplog, mocker,
#
# mocking the ticker: price is falling ...
enter_price = limit_order['buy']['price']
ticker_val = {
'bid': enter_price,
'ask': enter_price,
'last': enter_price,
}
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=MagicMock(return_value={
'bid': enter_price * buy_price_mult,
'ask': enter_price * buy_price_mult,
'last': enter_price * buy_price_mult,
}),
fetch_ticker=MagicMock(return_value=ticker_val),
get_fee=fee,
)
#############################################
@@ -229,9 +230,12 @@ def test_edge_overrides_stoploss(limit_order, fee, caplog, mocker,
freqtrade.enter_positions()
trade = Trade.query.first()
caplog.clear()
oobj = Order.parse_from_ccxt_object(limit_order['buy'], 'ADA/USDT', 'buy')
trade.update_trade(oobj)
#############################################
ticker_val.update({
'bid': enter_price * buy_price_mult,
'ask': enter_price * buy_price_mult,
'last': enter_price * buy_price_mult,
})
# stoploss shoud be hit
assert freqtrade.handle_trade(trade) is not ignore_strat_sl
@@ -1775,9 +1779,7 @@ def test_tsl_on_exchange_compatible_with_edge(mocker, edge_conf, fee, caplog,
'type': 'stop_loss_limit',
'price': 3,
'average': 2,
'info': {
'stopPrice': '2.178'
}
'stopPrice': '2.178'
})
mocker.patch('freqtrade.exchange.Exchange.fetch_stoploss_order', stoploss_order_hanging)
@@ -2149,7 +2151,7 @@ def test_handle_trade(
assert trade.close_rate == 2.0 if is_short else 2.2
assert trade.close_profit == close_profit
assert trade.calc_profit() == 5.685
assert trade.calc_profit(trade.close_rate) == 5.685
assert trade.close_date is not None
assert trade.exit_reason == 'sell_signal1'
@@ -2362,7 +2364,7 @@ def test_bot_loop_start_called_once(mocker, default_conf_usdt, caplog):
@pytest.mark.parametrize("is_short", [False, True])
def test_check_handle_timedout_entry_usercustom(
def test_manage_open_orders_entry_usercustom(
default_conf_usdt, ticker_usdt, limit_buy_order_old, open_trade,
limit_sell_order_old, fee, mocker, is_short
) -> None:
@@ -2394,12 +2396,12 @@ def test_check_handle_timedout_entry_usercustom(
Trade.query.session.add(open_trade)
# Ensure default is to return empty (so not mocked yet)
freqtrade.check_handle_timedout()
freqtrade.manage_open_orders()
assert cancel_order_mock.call_count == 0
# Return false - trade remains open
freqtrade.strategy.check_entry_timeout = MagicMock(return_value=False)
freqtrade.check_handle_timedout()
freqtrade.manage_open_orders()
assert cancel_order_mock.call_count == 0
trades = Trade.query.filter(Trade.open_order_id.is_(open_trade.open_order_id)).all()
nb_trades = len(trades)
@@ -2407,7 +2409,7 @@ def test_check_handle_timedout_entry_usercustom(
assert freqtrade.strategy.check_entry_timeout.call_count == 1
freqtrade.strategy.check_entry_timeout = MagicMock(side_effect=KeyError)
freqtrade.check_handle_timedout()
freqtrade.manage_open_orders()
assert cancel_order_mock.call_count == 0
trades = Trade.query.filter(Trade.open_order_id.is_(open_trade.open_order_id)).all()
nb_trades = len(trades)
@@ -2416,7 +2418,7 @@ def test_check_handle_timedout_entry_usercustom(
freqtrade.strategy.check_entry_timeout = MagicMock(return_value=True)
# Trade should be closed since the function returns true
freqtrade.check_handle_timedout()
freqtrade.manage_open_orders()
assert cancel_order_wr_mock.call_count == 1
assert rpc_mock.call_count == 1
trades = Trade.query.filter(Trade.open_order_id.is_(open_trade.open_order_id)).all()
@@ -2426,7 +2428,7 @@ def test_check_handle_timedout_entry_usercustom(
@pytest.mark.parametrize("is_short", [False, True])
def test_check_handle_timedout_entry(
def test_manage_open_orders_entry(
default_conf_usdt, ticker_usdt, limit_buy_order_old, open_trade,
limit_sell_order_old, fee, mocker, is_short
) -> None:
@@ -2450,8 +2452,9 @@ def test_check_handle_timedout_entry(
Trade.query.session.add(open_trade)
freqtrade.strategy.check_entry_timeout = MagicMock(return_value=False)
freqtrade.strategy.adjust_entry_price = MagicMock(return_value=1234)
# check it does cancel buy orders over the time limit
freqtrade.check_handle_timedout()
freqtrade.manage_open_orders()
assert cancel_order_mock.call_count == 1
assert rpc_mock.call_count == 1
trades = Trade.query.filter(Trade.open_order_id.is_(open_trade.open_order_id)).all()
@@ -2459,6 +2462,99 @@ def test_check_handle_timedout_entry(
assert nb_trades == 0
# Custom user buy-timeout is never called
assert freqtrade.strategy.check_entry_timeout.call_count == 0
# Entry adjustment is never called
assert freqtrade.strategy.adjust_entry_price.call_count == 0
@pytest.mark.parametrize("is_short", [False, True])
def test_adjust_entry_cancel(
default_conf_usdt, ticker_usdt, limit_buy_order_old, open_trade,
limit_sell_order_old, fee, mocker, caplog, is_short
) -> None:
freqtrade = get_patched_freqtradebot(mocker, default_conf_usdt)
old_order = limit_sell_order_old if is_short else limit_buy_order_old
old_order['id'] = open_trade.open_order_id
limit_buy_cancel = deepcopy(old_order)
limit_buy_cancel['status'] = 'canceled'
cancel_order_mock = MagicMock(return_value=limit_buy_cancel)
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker_usdt,
fetch_order=MagicMock(return_value=old_order),
cancel_order_with_result=cancel_order_mock,
get_fee=fee
)
open_trade.is_short = is_short
Trade.query.session.add(open_trade)
# Timeout to not interfere
freqtrade.strategy.ft_check_timed_out = MagicMock(return_value=False)
# check that order is cancelled
freqtrade.strategy.adjust_entry_price = MagicMock(return_value=None)
freqtrade.manage_open_orders()
trades = Trade.query.filter(Trade.open_order_id.is_(open_trade.open_order_id)).all()
assert len(trades) == 0
assert len(Order.query.all()) == 0
assert log_has_re(
f"{'Sell' if is_short else 'Buy'} order user requested order cancel*", caplog)
assert log_has_re(
f"{'Sell' if is_short else 'Buy'} order fully cancelled.*", caplog)
# Entry adjustment is called
assert freqtrade.strategy.adjust_entry_price.call_count == 1
@pytest.mark.parametrize("is_short", [False, True])
def test_adjust_entry_maintain_replace(
default_conf_usdt, ticker_usdt, limit_buy_order_old, open_trade,
limit_sell_order_old, fee, mocker, caplog, is_short
) -> None:
freqtrade = get_patched_freqtradebot(mocker, default_conf_usdt)
old_order = limit_sell_order_old if is_short else limit_buy_order_old
old_order['id'] = open_trade.open_order_id
limit_buy_cancel = deepcopy(old_order)
limit_buy_cancel['status'] = 'canceled'
cancel_order_mock = MagicMock(return_value=limit_buy_cancel)
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker_usdt,
fetch_order=MagicMock(return_value=old_order),
cancel_order_with_result=cancel_order_mock,
get_fee=fee
)
open_trade.is_short = is_short
Trade.query.session.add(open_trade)
# Timeout to not interfere
freqtrade.strategy.ft_check_timed_out = MagicMock(return_value=False)
# Check that order is maintained
freqtrade.strategy.adjust_entry_price = MagicMock(return_value=old_order['price'])
freqtrade.manage_open_orders()
trades = Trade.query.filter(Trade.open_order_id.is_(open_trade.open_order_id)).all()
assert len(trades) == 1
assert len(Order.get_open_orders()) == 1
# Entry adjustment is called
assert freqtrade.strategy.adjust_entry_price.call_count == 1
# Check that order is replaced
freqtrade.get_valid_enter_price_and_stake = MagicMock(return_value={100, 10, 1})
freqtrade.strategy.adjust_entry_price = MagicMock(return_value=1234)
freqtrade.manage_open_orders()
trades = Trade.query.filter(Trade.open_order_id.is_(open_trade.open_order_id)).all()
assert len(trades) == 1
nb_all_orders = len(Order.query.all())
assert nb_all_orders == 2
# New order seems to be in closed status?
# nb_open_orders = len(Order.get_open_orders())
# assert nb_open_orders == 1
assert log_has_re(
f"{'Sell' if is_short else 'Buy'} order cancelled to be replaced*", caplog)
# Entry adjustment is called
assert freqtrade.strategy.adjust_entry_price.call_count == 1
@pytest.mark.parametrize("is_short", [False, True])
@@ -2480,22 +2576,22 @@ def test_check_handle_cancelled_buy(
get_fee=fee
)
freqtrade = FreqtradeBot(default_conf_usdt)
open_trade.orders = []
open_trade.is_short = is_short
Trade.query.session.add(open_trade)
# check it does cancel buy orders over the time limit
freqtrade.check_handle_timedout()
freqtrade.manage_open_orders()
assert cancel_order_mock.call_count == 0
assert rpc_mock.call_count == 1
trades = Trade.query.filter(Trade.open_order_id.is_(open_trade.open_order_id)).all()
nb_trades = len(trades)
assert nb_trades == 0
assert len(trades) == 0
assert log_has_re(
f"{'Sell' if is_short else 'Buy'} order cancelled on exchange for Trade.*", caplog)
@pytest.mark.parametrize("is_short", [False, True])
def test_check_handle_timedout_buy_exception(
def test_manage_open_orders_buy_exception(
default_conf_usdt, ticker_usdt, open_trade, is_short, fee, mocker
) -> None:
rpc_mock = patch_RPCManager(mocker)
@@ -2515,7 +2611,7 @@ def test_check_handle_timedout_buy_exception(
Trade.query.session.add(open_trade)
# check it does cancel buy orders over the time limit
freqtrade.check_handle_timedout()
freqtrade.manage_open_orders()
assert cancel_order_mock.call_count == 0
assert rpc_mock.call_count == 0
trades = Trade.query.filter(Trade.open_order_id.is_(open_trade.open_order_id)).all()
@@ -2524,7 +2620,7 @@ def test_check_handle_timedout_buy_exception(
@pytest.mark.parametrize("is_short", [False, True])
def test_check_handle_timedout_exit_usercustom(
def test_manage_open_orders_exit_usercustom(
default_conf_usdt, ticker_usdt, limit_sell_order_old, mocker,
is_short, open_trade_usdt, caplog
) -> None:
@@ -2553,13 +2649,13 @@ def test_check_handle_timedout_exit_usercustom(
Trade.query.session.add(open_trade_usdt)
# Ensure default is false
freqtrade.check_handle_timedout()
freqtrade.manage_open_orders()
assert cancel_order_mock.call_count == 0
freqtrade.strategy.check_exit_timeout = MagicMock(return_value=False)
freqtrade.strategy.check_entry_timeout = MagicMock(return_value=False)
# Return false - No impact
freqtrade.check_handle_timedout()
freqtrade.manage_open_orders()
assert cancel_order_mock.call_count == 0
assert rpc_mock.call_count == 0
assert open_trade_usdt.is_open is False
@@ -2569,7 +2665,7 @@ def test_check_handle_timedout_exit_usercustom(
freqtrade.strategy.check_exit_timeout = MagicMock(side_effect=KeyError)
freqtrade.strategy.check_entry_timeout = MagicMock(side_effect=KeyError)
# Return Error - No impact
freqtrade.check_handle_timedout()
freqtrade.manage_open_orders()
assert cancel_order_mock.call_count == 0
assert rpc_mock.call_count == 0
assert open_trade_usdt.is_open is False
@@ -2579,7 +2675,7 @@ def test_check_handle_timedout_exit_usercustom(
# Return True - sells!
freqtrade.strategy.check_exit_timeout = MagicMock(return_value=True)
freqtrade.strategy.check_entry_timeout = MagicMock(return_value=True)
freqtrade.check_handle_timedout()
freqtrade.manage_open_orders()
assert cancel_order_mock.call_count == 1
assert rpc_mock.call_count == 1
assert open_trade_usdt.is_open is True
@@ -2592,7 +2688,7 @@ def test_check_handle_timedout_exit_usercustom(
mocker.patch('freqtrade.persistence.Trade.get_exit_order_count', return_value=1)
mocker.patch('freqtrade.freqtradebot.FreqtradeBot.execute_trade_exit',
side_effect=DependencyException)
freqtrade.check_handle_timedout()
freqtrade.manage_open_orders()
assert log_has_re('Unable to emergency sell .*', caplog)
et_mock = mocker.patch('freqtrade.freqtradebot.FreqtradeBot.execute_trade_exit')
@@ -2602,16 +2698,16 @@ def test_check_handle_timedout_exit_usercustom(
# If cancelling fails - no emergency sell!
with patch('freqtrade.freqtradebot.FreqtradeBot.handle_cancel_exit', return_value=False):
freqtrade.check_handle_timedout()
freqtrade.manage_open_orders()
assert et_mock.call_count == 0
freqtrade.check_handle_timedout()
freqtrade.manage_open_orders()
assert log_has_re('Emergency exiting trade.*', caplog)
assert et_mock.call_count == 1
@pytest.mark.parametrize("is_short", [False, True])
def test_check_handle_timedout_exit(
def test_manage_open_orders_exit(
default_conf_usdt, ticker_usdt, limit_sell_order_old, mocker, is_short, open_trade_usdt
) -> None:
rpc_mock = patch_RPCManager(mocker)
@@ -2638,7 +2734,7 @@ def test_check_handle_timedout_exit(
freqtrade.strategy.check_exit_timeout = MagicMock(return_value=False)
freqtrade.strategy.check_entry_timeout = MagicMock(return_value=False)
# check it does cancel sell orders over the time limit
freqtrade.check_handle_timedout()
freqtrade.manage_open_orders()
assert cancel_order_mock.call_count == 1
assert rpc_mock.call_count == 1
assert open_trade_usdt.is_open is True
@@ -2674,7 +2770,7 @@ def test_check_handle_cancelled_exit(
Trade.query.session.add(open_trade_usdt)
# check it does cancel sell orders over the time limit
freqtrade.check_handle_timedout()
freqtrade.manage_open_orders()
assert cancel_order_mock.call_count == 0
assert rpc_mock.call_count == 1
assert open_trade_usdt.is_open is True
@@ -2684,7 +2780,7 @@ def test_check_handle_cancelled_exit(
@pytest.mark.parametrize("is_short", [False, True])
@pytest.mark.parametrize("leverage", [1, 3, 5, 10])
def test_check_handle_timedout_partial(
def test_manage_open_orders_partial(
default_conf_usdt, ticker_usdt, limit_buy_order_old_partial, is_short, leverage,
open_trade, mocker
) -> None:
@@ -2710,7 +2806,7 @@ def test_check_handle_timedout_partial(
# check it does cancel buy orders over the time limit
# note this is for a partially-complete buy order
freqtrade.check_handle_timedout()
freqtrade.manage_open_orders()
assert cancel_order_mock.call_count == 1
assert rpc_mock.call_count == 2
trades = Trade.query.filter(Trade.open_order_id.is_(open_trade.open_order_id)).all()
@@ -2721,7 +2817,7 @@ def test_check_handle_timedout_partial(
@pytest.mark.parametrize("is_short", [False, True])
def test_check_handle_timedout_partial_fee(
def test_manage_open_orders_partial_fee(
default_conf_usdt, ticker_usdt, open_trade, caplog, fee, is_short,
limit_buy_order_old_partial, trades_for_order,
limit_buy_order_old_partial_canceled, mocker
@@ -2753,7 +2849,7 @@ def test_check_handle_timedout_partial_fee(
Trade.query.session.add(open_trade)
# cancelling a half-filled order should update the amount to the bought amount
# and apply fees if necessary.
freqtrade.check_handle_timedout()
freqtrade.manage_open_orders()
assert log_has_re(r"Applying fee on amount for Trade.*", caplog)
@@ -2770,7 +2866,7 @@ def test_check_handle_timedout_partial_fee(
@pytest.mark.parametrize("is_short", [False, True])
def test_check_handle_timedout_partial_except(
def test_manage_open_orders_partial_except(
default_conf_usdt, ticker_usdt, open_trade, caplog, fee, is_short,
limit_buy_order_old_partial, trades_for_order,
limit_buy_order_old_partial_canceled, mocker
@@ -2801,7 +2897,7 @@ def test_check_handle_timedout_partial_except(
Trade.query.session.add(open_trade)
# cancelling a half-filled order should update the amount to the bought amount
# and apply fees if necessary.
freqtrade.check_handle_timedout()
freqtrade.manage_open_orders()
assert log_has_re(r"Could not update trade amount: .*", caplog)
@@ -2817,8 +2913,8 @@ def test_check_handle_timedout_partial_except(
assert trades[0].fee_open == fee()
def test_check_handle_timedout_exception(default_conf_usdt, ticker_usdt, open_trade_usdt, mocker,
caplog) -> None:
def test_manage_open_orders_exception(default_conf_usdt, ticker_usdt, open_trade_usdt, mocker,
caplog) -> None:
patch_RPCManager(mocker)
patch_exchange(mocker)
cancel_order_mock = MagicMock()
@@ -2839,7 +2935,7 @@ def test_check_handle_timedout_exception(default_conf_usdt, ticker_usdt, open_tr
Trade.query.session.add(open_trade_usdt)
caplog.clear()
freqtrade.check_handle_timedout()
freqtrade.manage_open_orders()
assert log_has_re(r"Cannot query order for Trade\(id=1, pair=ADA/USDT, amount=30.00000000, "
r"is_short=False, leverage=1.0, "
r"open_rate=2.00000000, open_since="
@@ -2863,6 +2959,7 @@ def test_handle_cancel_enter(mocker, caplog, default_conf_usdt, limit_order, is_
freqtrade = FreqtradeBot(default_conf_usdt)
freqtrade._notify_enter_cancel = MagicMock()
# TODO: Convert to real trade
trade = MagicMock()
trade.pair = 'LTC/USDT'
trade.open_rate = 200
@@ -2870,6 +2967,7 @@ def test_handle_cancel_enter(mocker, caplog, default_conf_usdt, limit_order, is_
trade.entry_side = "buy"
l_order['filled'] = 0.0
l_order['status'] = 'open'
trade.nr_of_successful_entries = 0
reason = CANCEL_REASON['TIMEOUT']
assert freqtrade.handle_cancel_enter(trade, l_order, reason)
assert cancel_order_mock.call_count == 1
@@ -2912,7 +3010,9 @@ def test_handle_cancel_enter_exchanges(mocker, caplog, default_conf_usdt, is_sho
freqtrade = FreqtradeBot(default_conf_usdt)
reason = CANCEL_REASON['TIMEOUT']
# TODO: Convert to real trade
trade = MagicMock()
trade.nr_of_successful_entries = 0
trade.pair = 'LTC/ETH'
trade.entry_side = "sell" if is_short else "buy"
assert freqtrade.handle_cancel_enter(trade, limit_buy_order_canceled_empty, reason)
@@ -2945,12 +3045,14 @@ def test_handle_cancel_enter_corder_empty(mocker, default_conf_usdt, limit_order
freqtrade = FreqtradeBot(default_conf_usdt)
freqtrade._notify_enter_cancel = MagicMock()
# TODO: Convert to real trade
trade = MagicMock()
trade.pair = 'LTC/USDT'
trade.entry_side = "buy"
trade.open_rate = 200
trade.entry_side = "buy"
trade.open_order_id = "open_order_noop"
trade.nr_of_successful_entries = 0
l_order['filled'] = 0.0
l_order['status'] = 'open'
reason = CANCEL_REASON['TIMEOUT']
@@ -3396,7 +3498,7 @@ def test_execute_trade_exit_with_stoploss_on_exchange(
assert trade
trades = [trade]
freqtrade.check_handle_timedout()
freqtrade.manage_open_orders()
freqtrade.exit_positions(trades)
# Increase the price and sell it
@@ -3448,7 +3550,7 @@ def test_may_execute_trade_exit_after_stoploss_on_exchange_hit(
# Create some test data
freqtrade.enter_positions()
freqtrade.check_handle_timedout()
freqtrade.manage_open_orders()
trade = Trade.query.first()
trades = [trade]
assert trade.stoploss_order_id is None
@@ -3488,7 +3590,7 @@ def test_may_execute_trade_exit_after_stoploss_on_exchange_hit(
assert rpc_mock.call_count == 3
assert rpc_mock.call_args_list[0][0][0]['type'] == RPCMessageType.ENTRY
assert rpc_mock.call_args_list[1][0][0]['type'] == RPCMessageType.ENTRY_FILL
assert rpc_mock.call_args_list[2][0][0]['type'] == RPCMessageType.EXIT
assert rpc_mock.call_args_list[2][0][0]['type'] == RPCMessageType.EXIT_FILL
@pytest.mark.parametrize(
@@ -3673,6 +3775,7 @@ def test_exit_profit_only(
trade = Trade.query.first()
assert trade.is_short == is_short
oobj = Order.parse_from_ccxt_object(limit_order[eside], limit_order[eside]['symbol'], eside)
trade.update_order(limit_order[eside])
trade.update_trade(oobj)
freqtrade.wallets.update()
if profit_only:
@@ -3848,9 +3951,9 @@ def test_ignore_roi_if_entry_signal(default_conf_usdt, limit_order, limit_order_
# Test if entry-signal is absent (should sell due to roi = true)
if is_short:
patch_get_signal(freqtrade, enter_long=False, exit_short=False)
patch_get_signal(freqtrade, enter_long=False, exit_short=False, exit_tag='something')
else:
patch_get_signal(freqtrade, enter_long=False, exit_long=False)
patch_get_signal(freqtrade, enter_long=False, exit_long=False, exit_tag='something')
assert freqtrade.handle_trade(trade) is True
assert trade.exit_reason == ExitType.ROI.value
@@ -3961,6 +4064,7 @@ def test_trailing_stop_loss_positive(
trade = Trade.query.first()
assert trade.is_short == is_short
oobj = Order.parse_from_ccxt_object(limit_order[eside], limit_order[eside]['symbol'], eside)
trade.update_order(limit_order[eside])
trade.update_trade(oobj)
caplog.set_level(logging.DEBUG)
# stop-loss not reached
@@ -4693,9 +4797,6 @@ def test_startup_update_open_orders(mocker, default_conf_usdt, fee, caplog, is_s
freqtrade.config['dry_run'] = False
freqtrade.startup_update_open_orders()
assert log_has_re(r"Error updating Order .*", caplog)
caplog.clear()
assert len(Order.get_open_orders()) == 3
matching_buy_order = mock_order_4(is_short=is_short)
matching_buy_order.update({
@@ -4706,6 +4807,20 @@ def test_startup_update_open_orders(mocker, default_conf_usdt, fee, caplog, is_s
# Only stoploss and sell orders are kept open
assert len(Order.get_open_orders()) == 2
caplog.clear()
mocker.patch('freqtrade.exchange.Exchange.fetch_order', side_effect=ExchangeError)
freqtrade.startup_update_open_orders()
assert log_has_re(r"Error updating Order .*", caplog)
mocker.patch('freqtrade.exchange.Exchange.fetch_order', side_effect=InvalidOrderException)
hto_mock = mocker.patch('freqtrade.freqtradebot.FreqtradeBot.handle_timedout_order')
# Orders which are no longer found after X days should be assumed as canceled.
freqtrade.startup_update_open_orders()
assert log_has_re(r"Order is older than \d days.*", caplog)
assert hto_mock.call_count == 2
assert hto_mock.call_args_list[0][0][0]['status'] == 'canceled'
assert hto_mock.call_args_list[1][0][0]['status'] == 'canceled'
@pytest.mark.usefixtures("init_persistence")
@pytest.mark.parametrize("is_short", [False, True])
@@ -5214,7 +5329,7 @@ def test_position_adjust(mocker, default_conf_usdt, fee) -> None:
assert trade.stake_amount == 110
assert not trade.fee_updated('buy')
freqtrade.check_handle_timedout()
freqtrade.manage_open_orders()
trade = Trade.query.first()
assert trade
@@ -5320,7 +5435,7 @@ def test_position_adjust(mocker, default_conf_usdt, fee) -> None:
MagicMock(return_value=closed_dca_order_1))
mocker.patch('freqtrade.exchange.Exchange.fetch_order_or_stoploss_order',
MagicMock(return_value=closed_dca_order_1))
freqtrade.check_handle_timedout()
freqtrade.manage_open_orders()
# Assert trade is as expected (averaged dca)
trade = Trade.query.first()

View File

@@ -52,8 +52,8 @@ def test_may_execute_exit_stoploss_on_exchange_multi(default_conf, ticker, fee,
side_effect=[stoploss_order_closed, stoploss_order_open, stoploss_order_open])
# Sell 3rd trade (not called for the first trade)
should_sell_mock = MagicMock(side_effect=[
ExitCheckTuple(exit_type=ExitType.NONE),
ExitCheckTuple(exit_type=ExitType.EXIT_SIGNAL)]
[],
[ExitCheckTuple(exit_type=ExitType.EXIT_SIGNAL)]]
)
cancel_order_mock = MagicMock()
mocker.patch('freqtrade.exchange.Binance.stoploss', stoploss)
@@ -160,11 +160,11 @@ def test_forcebuy_last_unlimited(default_conf, ticker, fee, mocker, balance_rati
_notify_exit=MagicMock(),
)
should_sell_mock = MagicMock(side_effect=[
ExitCheckTuple(exit_type=ExitType.NONE),
ExitCheckTuple(exit_type=ExitType.EXIT_SIGNAL),
ExitCheckTuple(exit_type=ExitType.NONE),
ExitCheckTuple(exit_type=ExitType.NONE),
ExitCheckTuple(exit_type=ExitType.NONE)]
[],
[ExitCheckTuple(exit_type=ExitType.EXIT_SIGNAL)],
[],
[],
[]]
)
mocker.patch("freqtrade.strategy.interface.IStrategy.should_exit", should_sell_mock)
@@ -351,3 +351,107 @@ def test_dca_short(default_conf_usdt, ticker_usdt, fee, mocker) -> None:
assert trade.nr_of_successful_entries == 2
assert trade.nr_of_successful_exits == 1
def test_dca_order_adjust(default_conf_usdt, ticker_usdt, fee, mocker) -> None:
default_conf_usdt['position_adjustment_enable'] = True
freqtrade = get_patched_freqtradebot(mocker, default_conf_usdt)
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker_usdt,
get_fee=fee,
amount_to_precision=lambda s, x, y: y,
price_to_precision=lambda s, x, y: y,
)
mocker.patch('freqtrade.exchange.Exchange._is_dry_limit_order_filled', return_value=False)
patch_get_signal(freqtrade)
freqtrade.strategy.custom_entry_price = lambda **kwargs: ticker_usdt['ask'] * 0.96
freqtrade.enter_positions()
assert len(Trade.get_trades().all()) == 1
trade: Trade = Trade.get_trades().first()
assert len(trade.orders) == 1
assert trade.open_order_id is not None
assert pytest.approx(trade.stake_amount) == 60
assert trade.open_rate == 1.96
assert trade.stop_loss_pct is None
assert trade.stop_loss == 0.0
assert trade.initial_stop_loss == 0.0
assert trade.initial_stop_loss_pct is None
# No adjustment
freqtrade.process()
trade = Trade.get_trades().first()
assert len(trade.orders) == 1
assert trade.open_order_id is not None
assert pytest.approx(trade.stake_amount) == 60
# Cancel order and place new one
freqtrade.strategy.adjust_entry_price = MagicMock(return_value=1.99)
freqtrade.process()
trade = Trade.get_trades().first()
assert len(trade.orders) == 2
assert trade.open_order_id is not None
# Open rate is not adjusted yet
assert trade.open_rate == 1.96
assert trade.stop_loss_pct is None
assert trade.stop_loss == 0.0
assert trade.initial_stop_loss == 0.0
assert trade.initial_stop_loss_pct is None
# Fill order
mocker.patch('freqtrade.exchange.Exchange._is_dry_limit_order_filled', return_value=True)
freqtrade.process()
trade = Trade.get_trades().first()
assert len(trade.orders) == 2
assert trade.open_order_id is None
# Open rate is not adjusted yet
assert trade.open_rate == 1.99
assert trade.stop_loss_pct == -0.1
assert trade.stop_loss == 1.99 * 0.9
assert trade.initial_stop_loss == 1.99 * 0.9
assert trade.initial_stop_loss_pct == -0.1
# 2nd order - not filling
freqtrade.strategy.adjust_trade_position = MagicMock(return_value=120)
mocker.patch('freqtrade.exchange.Exchange._is_dry_limit_order_filled', return_value=False)
freqtrade.process()
trade = Trade.get_trades().first()
assert len(trade.orders) == 3
assert trade.open_order_id is not None
assert trade.open_rate == 1.99
assert trade.orders[-1].price == 1.96
assert trade.orders[-1].cost == 120
# Replace new order with diff. order at a lower price
freqtrade.strategy.adjust_entry_price = MagicMock(return_value=1.95)
freqtrade.process()
trade = Trade.get_trades().first()
assert len(trade.orders) == 4
assert trade.open_order_id is not None
assert trade.open_rate == 1.99
assert trade.orders[-1].price == 1.95
assert pytest.approx(trade.orders[-1].cost) == 120
# Fill DCA order
freqtrade.strategy.adjust_trade_position = MagicMock(return_value=None)
mocker.patch('freqtrade.exchange.Exchange._is_dry_limit_order_filled', return_value=True)
freqtrade.strategy.adjust_entry_price = MagicMock(side_effect=ValueError)
freqtrade.process()
trade = Trade.get_trades().first()
assert len(trade.orders) == 4
assert trade.open_order_id is None
assert pytest.approx(trade.open_rate) == 1.963153456
assert trade.orders[-1].price == 1.95
assert pytest.approx(trade.orders[-1].cost) == 120
assert trade.orders[-1].status == 'closed'
assert pytest.approx(trade.amount) == 91.689215
# Check the 2 filled orders equal the above amount
assert pytest.approx(trade.orders[1].amount) == 30.150753768
assert pytest.approx(trade.orders[-1].amount) == 61.538461232

View File

@@ -13,7 +13,7 @@ from sqlalchemy import create_engine, text
from freqtrade import constants
from freqtrade.enums import TradingMode
from freqtrade.exceptions import DependencyException, OperationalException
from freqtrade.persistence import LocalTrade, Order, Trade, clean_dry_run_db, init_db
from freqtrade.persistence import LocalTrade, Order, Trade, init_db
from freqtrade.persistence.migrations import get_last_sequence_ids, set_sequence_ids
from freqtrade.persistence.models import PairLock
from tests.conftest import create_mock_trades, create_mock_trades_with_leverage, log_has, log_has_re
@@ -24,7 +24,7 @@ spot, margin, futures = TradingMode.SPOT, TradingMode.MARGIN, TradingMode.FUTURE
def test_init_create_session(default_conf):
# Check if init create a session
init_db(default_conf['db_url'], default_conf['dry_run'])
init_db(default_conf['db_url'])
assert hasattr(Trade, '_session')
assert 'scoped_session' in type(Trade._session).__name__
@@ -36,7 +36,7 @@ def test_init_custom_db_url(default_conf, tmpdir):
default_conf.update({'db_url': f'sqlite:///{filename}'})
init_db(default_conf['db_url'], default_conf['dry_run'])
init_db(default_conf['db_url'])
assert Path(filename).is_file()
r = Trade._session.execute(text("PRAGMA journal_mode"))
assert r.first() == ('wal',)
@@ -45,10 +45,10 @@ def test_init_custom_db_url(default_conf, tmpdir):
def test_init_invalid_db_url():
# Update path to a value other than default, but still in-memory
with pytest.raises(OperationalException, match=r'.*no valid database URL*'):
init_db('unknown:///some.url', True)
init_db('unknown:///some.url')
with pytest.raises(OperationalException, match=r'Bad db-url.*For in-memory database, pl.*'):
init_db('sqlite:///', True)
init_db('sqlite:///')
def test_init_prod_db(default_conf, mocker):
@@ -57,7 +57,7 @@ def test_init_prod_db(default_conf, mocker):
create_engine_mock = mocker.patch('freqtrade.persistence.models.create_engine', MagicMock())
init_db(default_conf['db_url'], default_conf['dry_run'])
init_db(default_conf['db_url'])
assert create_engine_mock.call_count == 1
assert create_engine_mock.mock_calls[0][1][0] == 'sqlite:///tradesv3.sqlite'
@@ -70,7 +70,7 @@ def test_init_dryrun_db(default_conf, tmpdir):
'db_url': f'sqlite:///{filename}'
})
init_db(default_conf['db_url'], default_conf['dry_run'])
init_db(default_conf['db_url'])
assert Path(filename).is_file()
@@ -606,9 +606,9 @@ def test_calc_open_close_trade_price(
trade.close_rate = 2.2
trade.recalc_open_trade_value()
assert isclose(trade._calc_open_trade_value(), open_value)
assert isclose(trade.calc_close_trade_value(), close_value)
assert isclose(trade.calc_profit(), round(profit, 8))
assert pytest.approx(trade.calc_profit_ratio()) == profit_ratio
assert isclose(trade.calc_close_trade_value(trade.close_rate), close_value)
assert isclose(trade.calc_profit(trade.close_rate), round(profit, 8))
assert pytest.approx(trade.calc_profit_ratio(trade.close_rate)) == profit_ratio
@pytest.mark.usefixtures("init_persistence")
@@ -660,7 +660,7 @@ def test_calc_close_trade_price_exception(limit_buy_order_usdt, fee):
trade.open_order_id = 'something'
oobj = Order.parse_from_ccxt_object(limit_buy_order_usdt, 'ADA/USDT', 'buy')
trade.update_trade(oobj)
assert trade.calc_close_trade_value() == 0.0
assert trade.calc_close_trade_value(trade.close_rate) == 0.0
@pytest.mark.usefixtures("init_persistence")
@@ -813,7 +813,7 @@ def test_calc_close_trade_price(
funding_fees=funding_fees
)
trade.open_order_id = 'close_trade'
assert round(trade.calc_close_trade_value(rate=close_rate, fee=fee_rate), 8) == result
assert round(trade.calc_close_trade_value(rate=close_rate), 8) == result
@pytest.mark.parametrize(
@@ -884,6 +884,17 @@ def test_calc_close_trade_price(
('binance', False, 3, 2.2, 0.0025, 4.684999, 0.23366583, futures, -1),
('binance', True, 1, 2.2, 0.0025, -7.315, -0.12222222, futures, -1),
('binance', True, 3, 2.2, 0.0025, -7.315, -0.36666666, futures, -1),
# FUTURES, funding_fee=0
('binance', False, 1, 2.1, 0.0025, 2.6925, 0.04476309, futures, 0),
('binance', False, 3, 2.1, 0.0025, 2.6925, 0.13428928, futures, 0),
('binance', True, 1, 2.1, 0.0025, -3.3074999, -0.05526316, futures, 0),
('binance', True, 3, 2.1, 0.0025, -3.3074999, -0.16578947, futures, 0),
('binance', False, 1, 1.9, 0.0025, -3.2925, -0.05473815, futures, 0),
('binance', False, 3, 1.9, 0.0025, -3.2925, -0.16421446, futures, 0),
('binance', True, 1, 1.9, 0.0025, 2.7075, 0.0452381, futures, 0),
('binance', True, 3, 1.9, 0.0025, 2.7075, 0.13571429, futures, 0),
])
@pytest.mark.usefixtures("init_persistence")
def test_calc_profit(
@@ -1129,56 +1140,6 @@ def test_calc_profit(
assert pytest.approx(trade.calc_profit_ratio(rate=close_rate)) == round(profit_ratio, 8)
@pytest.mark.usefixtures("init_persistence")
def test_clean_dry_run_db(default_conf, fee):
# Simulate dry_run entries
trade = Trade(
pair='ADA/USDT',
stake_amount=0.001,
amount=123.0,
fee_open=fee.return_value,
fee_close=fee.return_value,
open_rate=0.123,
exchange='binance',
open_order_id='dry_run_buy_12345'
)
Trade.query.session.add(trade)
trade = Trade(
pair='ETC/BTC',
stake_amount=0.001,
amount=123.0,
fee_open=fee.return_value,
fee_close=fee.return_value,
open_rate=0.123,
exchange='binance',
open_order_id='dry_run_sell_12345'
)
Trade.query.session.add(trade)
# Simulate prod entry
trade = Trade(
pair='ETC/BTC',
stake_amount=0.001,
amount=123.0,
fee_open=fee.return_value,
fee_close=fee.return_value,
open_rate=0.123,
exchange='binance',
open_order_id='prod_buy_12345'
)
Trade.query.session.add(trade)
# We have 3 entries: 2 dry_run, 1 prod
assert len(Trade.query.filter(Trade.open_order_id.isnot(None)).all()) == 3
clean_dry_run_db()
# We have now only the prod
assert len(Trade.query.filter(Trade.open_order_id.isnot(None)).all()) == 1
def test_migrate_new(mocker, default_conf, fee, caplog):
"""
Test Database migration (starting with new pairformat)
@@ -1239,7 +1200,7 @@ def test_migrate_new(mocker, default_conf, fee, caplog):
0.00258580, {stake}, {amount},
'2019-11-28 12:44:24.000000',
0.0, 0.0, 0.0, '5m',
'buy_order', 'stop_order_id222')
'buy_order', 'dry_stop_order_id222')
""".format(fee=fee.return_value,
stake=default_conf.get("stake_amount"),
amount=amount
@@ -1265,7 +1226,7 @@ def test_migrate_new(mocker, default_conf, fee, caplog):
'buy',
'ETC/BTC',
0,
'buy_order',
'dry_buy_order',
'closed',
'ETC/BTC',
'limit',
@@ -1277,12 +1238,44 @@ def test_migrate_new(mocker, default_conf, fee, caplog):
{amount * 0.00258580}
),
(
1,
'buy',
'ETC/BTC',
1,
'dry_buy_order22',
'canceled',
'ETC/BTC',
'limit',
'buy',
0.00258580,
{amount},
{amount},
0,
{amount * 0.00258580}
),
(
1,
'stoploss',
'ETC/BTC',
1,
'dry_stop_order_id11X',
'canceled',
'ETC/BTC',
'limit',
'sell',
0.00258580,
{amount},
{amount},
0,
'stop_order_id222',
'closed',
{amount * 0.00258580}
),
(
1,
'stoploss',
'ETC/BTC',
1,
'dry_stop_order_id222',
'open',
'ETC/BTC',
'limit',
'sell',
@@ -1310,7 +1303,7 @@ def test_migrate_new(mocker, default_conf, fee, caplog):
connection.execute(text("create table trades_bak1 as select * from trades"))
# Run init to test migration
init_db(default_conf['db_url'], default_conf['dry_run'])
init_db(default_conf['db_url'])
assert len(Trade.query.filter(Trade.id == 1).all()) == 1
trade = Trade.query.filter(Trade.id == 1).first()
@@ -1331,7 +1324,7 @@ def test_migrate_new(mocker, default_conf, fee, caplog):
assert trade.exit_reason is None
assert trade.strategy is None
assert trade.timeframe == '5m'
assert trade.stoploss_order_id == 'stop_order_id222'
assert trade.stoploss_order_id == 'dry_stop_order_id222'
assert trade.stoploss_last_update is None
assert log_has("trying trades_bak1", caplog)
assert log_has("trying trades_bak2", caplog)
@@ -1341,12 +1334,21 @@ def test_migrate_new(mocker, default_conf, fee, caplog):
assert trade.close_profit_abs is None
orders = trade.orders
assert len(orders) == 2
assert orders[0].order_id == 'buy_order'
assert len(orders) == 4
assert orders[0].order_id == 'dry_buy_order'
assert orders[0].ft_order_side == 'buy'
assert orders[1].order_id == 'stop_order_id222'
assert orders[1].ft_order_side == 'stoploss'
assert orders[-1].order_id == 'dry_stop_order_id222'
assert orders[-1].ft_order_side == 'stoploss'
assert orders[-1].ft_is_open is True
assert orders[1].order_id == 'dry_buy_order22'
assert orders[1].ft_order_side == 'buy'
assert orders[1].ft_is_open is False
assert orders[2].order_id == 'dry_stop_order_id11X'
assert orders[2].ft_order_side == 'stoploss'
assert orders[2].ft_is_open is False
def test_migrate_too_old(mocker, default_conf, fee, caplog):
@@ -1393,7 +1395,7 @@ def test_migrate_too_old(mocker, default_conf, fee, caplog):
# Run init to test migration
with pytest.raises(OperationalException, match=r'Your database seems to be very old'):
init_db(default_conf['db_url'], default_conf['dry_run'])
init_db(default_conf['db_url'])
def test_migrate_get_last_sequence_ids():
@@ -1416,14 +1418,14 @@ def test_migrate_set_sequence_ids():
engine = MagicMock()
engine.begin = MagicMock()
engine.name = 'postgresql'
set_sequence_ids(engine, 22, 55)
set_sequence_ids(engine, 22, 55, 5)
assert engine.begin.call_count == 1
engine.reset_mock()
engine.begin.reset_mock()
engine.name = 'somethingelse'
set_sequence_ids(engine, 22, 55)
set_sequence_ids(engine, 22, 55, 6)
assert engine.begin.call_count == 0
@@ -1467,7 +1469,7 @@ def test_migrate_pairlocks(mocker, default_conf, fee, caplog):
connection.execute(text(create_index2))
connection.execute(text(create_index3))
init_db(default_conf['db_url'], default_conf['dry_run'])
init_db(default_conf['db_url'])
assert len(PairLock.query.all()) == 2
assert len(PairLock.query.filter(PairLock.pair == '*').all()) == 1
@@ -2114,6 +2116,24 @@ def test_get_trades_proxy(fee, use_db, is_short):
Trade.use_db = True
@pytest.mark.usefixtures("init_persistence")
@pytest.mark.parametrize('is_short', [True, False])
def test_get_trades__query(fee, is_short):
query = Trade.get_trades([])
# without orders there should be no join issued.
query1 = Trade.get_trades([], include_orders=False)
assert "JOIN orders" in str(query)
assert "JOIN orders" not in str(query1)
create_mock_trades(fee, is_short)
query = Trade.get_trades([])
query1 = Trade.get_trades([], include_orders=False)
assert "JOIN orders" in str(query)
assert "JOIN orders" not in str(query1)
def test_get_trades_backtest():
Trade.use_db = False
with pytest.raises(NotImplementedError, match=r"`Trade.get_trades\(\)` not .*"):
@@ -2308,6 +2328,7 @@ def test_Trade_object_idem():
'get_exit_reason_performance',
'get_enter_tag_performance',
'get_mix_tag_performance',
'get_trading_volume',
)
@@ -2721,3 +2742,23 @@ def test_select_filled_orders(fee):
orders = trades[4].select_filled_orders('sell')
assert orders is not None
assert len(orders) == 0
@pytest.mark.usefixtures("init_persistence")
def test_order_to_ccxt(limit_buy_order_open):
order = Order.parse_from_ccxt_object(limit_buy_order_open, 'mocked', 'buy')
order.query.session.add(order)
Order.query.session.commit()
order_resp = Order.order_by_id(limit_buy_order_open['id'])
assert order_resp
raw_order = order_resp.to_ccxt_object()
del raw_order['fee']
del raw_order['datetime']
del raw_order['info']
assert raw_order['stopPrice'] is None
del raw_order['stopPrice']
del limit_buy_order_open['datetime']
assert raw_order == limit_buy_order_open