persistence all to one test file, use more regular values like 2.0 for persistence tests

This commit is contained in:
Sam Germain 2021-07-20 17:56:57 -06:00
parent a900570f1a
commit 6ad9b535a9
7 changed files with 963 additions and 1692 deletions

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@ -151,8 +151,6 @@ def migrate_orders_table(decl_base, inspector, engine, table_back_name: str, col
decl_base.metadata.create_all(engine)
leverage = get_column_def(cols, 'leverage', '1.0')
# sqlite does not support literals for booleans
is_short = get_column_def(cols, 'is_short', '0')
# TODO-mg: Should liquidation price go in here?
with engine.begin() as connection:
connection.execute(text(f"""
insert into orders ( id, ft_trade_id, ft_order_side, ft_pair, ft_is_open, order_id,

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@ -236,7 +236,7 @@ class LocalTrade():
close_rate_requested: Optional[float] = None
close_profit: Optional[float] = None
close_profit_abs: Optional[float] = None
stake_amount: float = 0.0
stake_amount: float = 0.0 # TODO: This should probably be computed
amount: float = 0.0
amount_requested: Optional[float] = None
open_date: datetime
@ -273,7 +273,7 @@ class LocalTrade():
@property
def has_no_leverage(self) -> bool:
"""Returns true if this is a non-leverage, non-short trade"""
return (self.leverage == 1.0 and not self.is_short) or self.leverage is None
return ((self.leverage or self.leverage is None) == 1.0 and not self.is_short)
@property
def borrowed(self) -> float:
@ -285,7 +285,7 @@ class LocalTrade():
if self.has_no_leverage:
return 0.0
elif not self.is_short:
return self.stake_amount * (self.leverage-1)
return (self.amount * self.open_rate) * ((self.leverage-1)/self.leverage)
else:
return self.amount
@ -351,6 +351,10 @@ class LocalTrade():
self.liquidation_price = liquidation_price
def set_is_short(self, is_short: bool):
self.is_short = is_short
self.recalc_open_trade_value()
def __repr__(self):
open_since = self.open_date.strftime(DATETIME_PRINT_FORMAT) if self.is_open else 'closed'
@ -635,7 +639,8 @@ class LocalTrade():
def recalc_open_trade_value(self) -> None:
"""
Recalculate open_trade_value.
Must be called whenever open_rate or fee_open is changed.
Must be called whenever open_rate, fee_open or is_short is changed.
"""
self.open_trade_value = self._calc_open_trade_value()

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@ -205,16 +205,22 @@ def create_mock_trades(fee, use_db: bool = True):
# Simulate dry_run entries
trade = mock_trade_1(fee)
add_trade(trade)
trade = mock_trade_2(fee)
add_trade(trade)
trade = mock_trade_3(fee)
add_trade(trade)
trade = mock_trade_4(fee)
add_trade(trade)
trade = mock_trade_5(fee)
add_trade(trade)
trade = mock_trade_6(fee)
add_trade(trade)
if use_db:
Trade.query.session.flush()
@ -231,6 +237,7 @@ def create_mock_trades_with_leverage(fee, use_db: bool = True):
# Simulate dry_run entries
trade = mock_trade_1(fee)
add_trade(trade)
trade = mock_trade_2(fee)
add_trade(trade)
@ -248,6 +255,7 @@ def create_mock_trades_with_leverage(fee, use_db: bool = True):
trade = short_trade(fee)
add_trade(trade)
trade = leverage_trade(fee)
add_trade(trade)
if use_db:
@ -2111,105 +2119,12 @@ def saved_hyperopt_results():
for res in hyperopt_res:
res['results_metrics']['holding_avg_s'] = res['results_metrics']['holding_avg'
].total_seconds()
return hyperopt_res
# * Margin Tests
@pytest.fixture(scope='function')
def limit_short_order_open():
return {
'id': 'mocked_limit_short',
'type': 'limit',
'side': 'sell',
'symbol': 'mocked',
'datetime': arrow.utcnow().isoformat(),
'timestamp': arrow.utcnow().int_timestamp,
'price': 0.00001173,
'amount': 90.99181073,
'leverage': 1.0,
'filled': 0.0,
'cost': 0.00106733393,
'remaining': 90.99181073,
'status': 'open',
'is_short': True
}
@pytest.fixture
def limit_exit_short_order_open():
return {
'id': 'mocked_limit_exit_short',
'type': 'limit',
'side': 'buy',
'pair': 'mocked',
'datetime': arrow.utcnow().isoformat(),
'timestamp': arrow.utcnow().int_timestamp,
'price': 0.00001099,
'amount': 90.99370639272354,
'filled': 0.0,
'remaining': 90.99370639272354,
'status': 'open',
'leverage': 1.0
}
@pytest.fixture(scope='function')
def limit_short_order(limit_short_order_open):
order = deepcopy(limit_short_order_open)
order['status'] = 'closed'
order['filled'] = order['amount']
order['remaining'] = 0.0
return order
@pytest.fixture
def limit_exit_short_order(limit_exit_short_order_open):
order = deepcopy(limit_exit_short_order_open)
order['remaining'] = 0.0
order['filled'] = order['amount']
order['status'] = 'closed'
return order
@pytest.fixture(scope='function')
def market_short_order():
return {
'id': 'mocked_market_short',
'type': 'market',
'side': 'sell',
'symbol': 'mocked',
'datetime': arrow.utcnow().isoformat(),
'price': 0.00004173,
'amount': 275.97543219,
'filled': 275.97543219,
'remaining': 0.0,
'status': 'closed',
'is_short': True,
'leverage': 3.0,
}
@pytest.fixture
def market_exit_short_order():
return {
'id': 'mocked_limit_exit_short',
'type': 'market',
'side': 'buy',
'symbol': 'mocked',
'datetime': arrow.utcnow().isoformat(),
'price': 0.00004099,
'amount': 276.113419906095,
'filled': 276.113419906095,
'remaining': 0.0,
'status': 'closed',
'leverage': 3.0
}
# leverage 3x
@pytest.fixture(scope='function')
def limit_lev_buy_order_open():
def limit_buy_order_usdt_open():
return {
'id': 'mocked_limit_buy',
'type': 'limit',
@ -2217,20 +2132,18 @@ def limit_lev_buy_order_open():
'symbol': 'mocked',
'datetime': arrow.utcnow().isoformat(),
'timestamp': arrow.utcnow().int_timestamp,
'price': 0.00001099,
'amount': 272.97543219,
'price': 2.00,
'amount': 30.0,
'filled': 0.0,
'cost': 0.0009999999999226999,
'remaining': 272.97543219,
'leverage': 3.0,
'status': 'open',
'exchange': 'binance',
'cost': 60.0,
'remaining': 30.0,
'status': 'open'
}
@pytest.fixture(scope='function')
def limit_lev_buy_order(limit_lev_buy_order_open):
order = deepcopy(limit_lev_buy_order_open)
def limit_buy_order_usdt(limit_buy_order_usdt_open):
order = deepcopy(limit_buy_order_usdt_open)
order['status'] = 'closed'
order['filled'] = order['amount']
order['remaining'] = 0.0
@ -2238,7 +2151,7 @@ def limit_lev_buy_order(limit_lev_buy_order_open):
@pytest.fixture
def limit_lev_sell_order_open():
def limit_sell_order_usdt_open():
return {
'id': 'mocked_limit_sell',
'type': 'limit',
@ -2246,19 +2159,17 @@ def limit_lev_sell_order_open():
'pair': 'mocked',
'datetime': arrow.utcnow().isoformat(),
'timestamp': arrow.utcnow().int_timestamp,
'price': 0.00001173,
'amount': 272.97543219,
'price': 2.20,
'amount': 30.0,
'filled': 0.0,
'remaining': 272.97543219,
'leverage': 3.0,
'status': 'open',
'exchange': 'binance'
'remaining': 30.0,
'status': 'open'
}
@pytest.fixture
def limit_lev_sell_order(limit_lev_sell_order_open):
order = deepcopy(limit_lev_sell_order_open)
def limit_sell_order_usdt(limit_sell_order_usdt_open):
order = deepcopy(limit_sell_order_usdt_open)
order['remaining'] = 0.0
order['filled'] = order['amount']
order['status'] = 'closed'
@ -2266,36 +2177,32 @@ def limit_lev_sell_order(limit_lev_sell_order_open):
@pytest.fixture(scope='function')
def market_lev_buy_order():
def market_buy_order_usdt():
return {
'id': 'mocked_market_buy',
'type': 'market',
'side': 'buy',
'symbol': 'mocked',
'datetime': arrow.utcnow().isoformat(),
'price': 0.00004099,
'amount': 275.97543219,
'filled': 275.97543219,
'price': 2.00,
'amount': 30.0,
'filled': 30.0,
'remaining': 0.0,
'status': 'closed',
'exchange': 'kraken',
'leverage': 3.0
'status': 'closed'
}
@pytest.fixture
def market_lev_sell_order():
def market_sell_order_usdt():
return {
'id': 'mocked_limit_sell',
'type': 'market',
'side': 'sell',
'symbol': 'mocked',
'datetime': arrow.utcnow().isoformat(),
'price': 0.00004173,
'amount': 275.97543219,
'filled': 275.97543219,
'price': 2.20,
'amount': 30.0,
'filled': 30.0,
'remaining': 0.0,
'status': 'closed',
'leverage': 3.0,
'exchange': 'kraken'
'status': 'closed'
}

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@ -1,5 +1,6 @@
from datetime import datetime, timedelta, timezone
from freqtrade.enums import InterestMode
from freqtrade.persistence.models import Order, Trade
@ -382,8 +383,8 @@ def short_trade(fee):
sell_reason='sell_signal', # TODO-mg: Update to exit/close reason
open_date=datetime.now(tz=timezone.utc) - timedelta(minutes=20),
# close_date=datetime.now(tz=timezone.utc) - timedelta(minutes=2),
# borrowed=
is_short=True
is_short=True,
interest_mode=InterestMode.HOURSPERDAY
)
o = Order.parse_from_ccxt_object(short_order(), 'ETC/BTC', 'sell')
trade.orders.append(o)
@ -466,13 +467,14 @@ def leverage_trade(fee):
close_profit_abs=2.5983135000000175,
exchange='kraken',
is_open=False,
open_order_id='dry_run_leverage_sell_12345',
open_order_id='dry_run_leverage_buy_12368',
strategy='DefaultStrategy',
timeframe=5,
sell_reason='sell_signal', # TODO-mg: Update to exit/close reason
open_date=datetime.now(tz=timezone.utc) - timedelta(minutes=300),
close_date=datetime.now(tz=timezone.utc),
interest_rate=0.0005
interest_rate=0.0005,
interest_mode=InterestMode.HOURSPER4
)
o = Order.parse_from_ccxt_object(leverage_order(), 'DOGE/BTC', 'sell')
trade.orders.append(o)

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@ -1,638 +0,0 @@
from datetime import datetime, timedelta
from math import isclose
import pytest
from freqtrade.enums import InterestMode
from freqtrade.persistence import Trade
from tests.conftest import log_has_re
@pytest.mark.usefixtures("init_persistence")
def test_interest_kraken_lev(market_lev_buy_order, fee):
"""
Market trade on Kraken at 3x and 5x leverage
Short trade
interest_rate: 0.05%, 0.25% per 4 hrs
open_rate: 0.00004099 base
close_rate: 0.00004173 base
stake_amount: 0.0037707443218227
borrowed: 0.0075414886436454
amount:
275.97543219 crypto
459.95905365 crypto
borrowed:
0.0075414886436454 base
0.0150829772872908 base
time-periods: 10 minutes(rounds up to 1 time-period of 4hrs)
5 hours = 5/4
interest: borrowed * interest_rate * ceil(1 + time-periods)
= 0.0075414886436454 * 0.0005 * ceil(2) = 7.5414886436454e-06 base
= 0.0075414886436454 * 0.00025 * ceil(9/4) = 5.65611648273405e-06 base
= 0.0150829772872908 * 0.0005 * ceil(9/4) = 2.26244659309362e-05 base
= 0.0150829772872908 * 0.00025 * ceil(2) = 7.5414886436454e-06 base
"""
trade = Trade(
pair='ETH/BTC',
stake_amount=0.0037707443218227,
amount=275.97543219,
open_rate=0.00001099,
open_date=datetime.utcnow() - timedelta(hours=0, minutes=10),
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='kraken',
leverage=3.0,
interest_rate=0.0005,
interest_mode=InterestMode.HOURSPER4
)
assert float(trade.calculate_interest()) == 7.5414886436454e-06
trade.open_date = datetime.utcnow() - timedelta(hours=4, minutes=55)
assert float(round(trade.calculate_interest(interest_rate=0.00025), 11)
) == round(5.65611648273405e-06, 11)
trade = Trade(
pair='ETH/BTC',
stake_amount=0.0037707443218227,
amount=459.95905365,
open_rate=0.00001099,
open_date=datetime.utcnow() - timedelta(hours=4, minutes=55),
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='kraken',
leverage=5.0,
interest_rate=0.0005,
interest_mode=InterestMode.HOURSPER4
)
assert float(round(trade.calculate_interest(), 11)
) == round(2.26244659309362e-05, 11)
trade.open_date = datetime.utcnow() - timedelta(hours=0, minutes=10)
trade.interest_rate = 0.00025
assert float(trade.calculate_interest(interest_rate=0.00025)) == 7.5414886436454e-06
@pytest.mark.usefixtures("init_persistence")
def test_interest_binance_lev(market_lev_buy_order, fee):
"""
Market trade on Kraken at 3x and 5x leverage
Short trade
interest_rate: 0.05%, 0.25% per 4 hrs
open_rate: 0.00001099 base
close_rate: 0.00001173 base
stake_amount: 0.0009999999999226999
borrowed: 0.0019999999998453998
amount:
90.99181073 * leverage(3) = 272.97543219 crypto
90.99181073 * leverage(5) = 454.95905365 crypto
borrowed:
0.0019999999998453998 base
0.0039999999996907995 base
time-periods: 10 minutes(rounds up to 1/24 time-period of 24hrs)
5 hours = 5/24
interest: borrowed * interest_rate * time-periods
= 0.0019999999998453998 * 0.00050 * 1/24 = 4.166666666344583e-08 base
= 0.0019999999998453998 * 0.00025 * 5/24 = 1.0416666665861459e-07 base
= 0.0039999999996907995 * 0.00050 * 5/24 = 4.1666666663445834e-07 base
= 0.0039999999996907995 * 0.00025 * 1/24 = 4.166666666344583e-08 base
"""
trade = Trade(
pair='ETH/BTC',
stake_amount=0.0009999999999226999,
amount=272.97543219,
open_rate=0.00001099,
open_date=datetime.utcnow() - timedelta(hours=0, minutes=10),
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='binance',
leverage=3.0,
interest_rate=0.0005,
interest_mode=InterestMode.HOURSPERDAY
)
# 10 minutes round up to 4 hours evenly on kraken so we can predict the them more accurately
assert round(float(trade.calculate_interest()), 22) == round(4.166666666344583e-08, 22)
trade.open_date = datetime.utcnow() - timedelta(hours=4, minutes=55)
# All trade > 5 hours will vary slightly due to execution time and interest calculated
assert float(round(trade.calculate_interest(interest_rate=0.00025), 14)
) == round(1.0416666665861459e-07, 14)
trade = Trade(
pair='ETH/BTC',
stake_amount=0.0009999999999226999,
amount=459.95905365,
open_rate=0.00001099,
open_date=datetime.utcnow() - timedelta(hours=4, minutes=55),
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='binance',
leverage=5.0,
interest_rate=0.0005,
interest_mode=InterestMode.HOURSPERDAY
)
assert float(round(trade.calculate_interest(), 14)) == round(4.1666666663445834e-07, 14)
trade.open_date = datetime.utcnow() - timedelta(hours=0, minutes=10)
assert float(round(trade.calculate_interest(interest_rate=0.00025), 22)
) == round(4.166666666344583e-08, 22)
@pytest.mark.usefixtures("init_persistence")
def test_update_open_order_lev(limit_lev_buy_order):
trade = Trade(
pair='ETH/BTC',
stake_amount=1.00,
open_rate=0.01,
amount=5,
fee_open=0.1,
fee_close=0.1,
interest_rate=0.0005,
exchange='binance',
interest_mode=InterestMode.HOURSPERDAY
)
assert trade.open_order_id is None
assert trade.close_profit is None
assert trade.close_date is None
limit_lev_buy_order['status'] = 'open'
trade.update(limit_lev_buy_order)
assert trade.open_order_id is None
assert trade.close_profit is None
assert trade.close_date is None
@pytest.mark.usefixtures("init_persistence")
def test_calc_open_trade_value_lev(market_lev_buy_order, fee):
"""
10 minute leveraged market trade on Kraken at 3x leverage
Short trade
fee: 0.25% base
interest_rate: 0.05% per 4 hrs
open_rate: 0.00004099 base
close_rate: 0.00004173 base
amount: 91.99181073 * leverage(3) = 275.97543219 crypto
stake_amount: 0.0037707443218227
borrowed: 0.0075414886436454 base
time-periods: 10 minutes(rounds up to 1 time-period of 4hrs)
interest: borrowed * interest_rate * time-periods
= 0.0075414886436454 * 0.0005 * 1 = 7.5414886436454e-06 crypto
open_value: (amount * open_rate) + (amount * open_rate * fee)
= (275.97543219 * 0.00004099) + (275.97543219 * 0.00004099 * 0.0025)
= 0.01134051354788177
"""
trade = Trade(
pair='ETH/BTC',
stake_amount=0.001,
amount=5,
open_rate=0.00004099,
open_date=datetime.utcnow() - timedelta(hours=0, minutes=10),
fee_open=fee.return_value,
fee_close=fee.return_value,
interest_rate=0.0005,
exchange='kraken',
leverage=3,
interest_mode=InterestMode.HOURSPER4
)
trade.open_order_id = 'open_trade'
trade.update(market_lev_buy_order) # Buy @ 0.00001099
# Get the open rate price with the standard fee rate
assert trade._calc_open_trade_value() == 0.01134051354788177
trade.fee_open = 0.003
# Get the open rate price with a custom fee rate
assert trade._calc_open_trade_value() == 0.011346169664364504
@pytest.mark.usefixtures("init_persistence")
def test_calc_open_close_trade_price_lev(limit_lev_buy_order, limit_lev_sell_order, fee):
"""
5 hour leveraged trade on Binance
fee: 0.25% base
interest_rate: 0.05% per day
open_rate: 0.00001099 base
close_rate: 0.00001173 base
amount: 272.97543219 crypto
stake_amount: 0.0009999999999226999 base
borrowed: 0.0019999999998453998 base
time-periods: 5 hours(rounds up to 5/24 time-period of 1 day)
interest: borrowed * interest_rate * time-periods
= 0.0019999999998453998 * 0.0005 * 5/24 = 2.0833333331722917e-07 base
open_value: (amount * open_rate) + (amount * open_rate * fee)
= (272.97543219 * 0.00001099) + (272.97543219 * 0.00001099 * 0.0025)
= 0.0030074999997675204
close_value: ((amount_closed * close_rate) - (amount_closed * close_rate * fee)) - interest
= (272.97543219 * 0.00001173)
- (272.97543219 * 0.00001173 * 0.0025)
- 2.0833333331722917e-07
= 0.003193788481706411
stake_value: (amount/lev * open_rate) + (amount/lev * open_rate * fee)
= (272.97543219/3 * 0.00001099) + (272.97543219/3 * 0.00001099 * 0.0025)
= 0.0010024999999225066
total_profit = close_value - open_value
= 0.003193788481706411 - 0.0030074999997675204
= 0.00018628848193889044
total_profit_percentage = total_profit / stake_value
= 0.00018628848193889054 / 0.0010024999999225066
= 0.18582392214792087
"""
trade = Trade(
pair='ETH/BTC',
stake_amount=0.0009999999999226999,
open_rate=0.01,
amount=5,
open_date=datetime.utcnow() - timedelta(hours=4, minutes=55),
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='binance',
interest_rate=0.0005,
interest_mode=InterestMode.HOURSPERDAY
)
trade.open_order_id = 'something'
trade.update(limit_lev_buy_order)
assert trade._calc_open_trade_value() == 0.00300749999976752
trade.update(limit_lev_sell_order)
# Is slightly different due to compilation time changes. Interest depends on time
assert round(trade.calc_close_trade_value(), 11) == round(0.003193788481706411, 11)
# Profit in BTC
assert round(trade.calc_profit(), 8) == round(0.00018628848193889054, 8)
# Profit in percent
assert round(trade.calc_profit_ratio(), 8) == round(0.18582392214792087, 8)
@pytest.mark.usefixtures("init_persistence")
def test_trade_close_lev(fee):
"""
5 hour leveraged market trade on Kraken at 3x leverage
fee: 0.25% base
interest_rate: 0.05% per 4 hrs
open_rate: 0.1 base
close_rate: 0.2 base
amount: 5 * leverage(3) = 15 crypto
stake_amount: 0.5
borrowed: 1 base
time-periods: 5/4 periods of 4hrs
interest: borrowed * interest_rate * ceil(1 + time-periods)
= 1 * 0.0005 * ceil(9/4) = 0.0015 crypto
open_value: (amount * open_rate) + (amount * open_rate * fee)
= (15 * 0.1) + (15 * 0.1 * 0.0025)
= 1.50375
close_value: (amount * close_rate) + (amount * close_rate * fee) - interest
= (15 * 0.2) - (15 * 0.2 * 0.0025) - 0.0015
= 2.991
total_profit = close_value - open_value
= 2.991 - 1.50375
= 1.4872500000000002
total_profit_ratio = ((close_value/open_value) - 1) * leverage
= ((2.991/1.50375) - 1) * 3
= 2.96708229426434
"""
trade = Trade(
pair='ETH/BTC',
stake_amount=0.5,
open_rate=0.1,
amount=15,
is_open=True,
fee_open=fee.return_value,
fee_close=fee.return_value,
open_date=datetime.utcnow() - timedelta(hours=4, minutes=55),
exchange='kraken',
leverage=3.0,
interest_rate=0.0005,
interest_mode=InterestMode.HOURSPER4
)
assert trade.close_profit is None
assert trade.close_date is None
assert trade.is_open is True
trade.close(0.2)
assert trade.is_open is False
assert trade.close_profit == round(2.96708229426434, 8)
assert trade.close_date is not None
# TODO-mg: Remove these comments probably
# new_date = arrow.Arrow(2020, 2, 2, 15, 6, 1).datetime,
# assert trade.close_date != new_date
# # Close should NOT update close_date if the trade has been closed already
# assert trade.is_open is False
# trade.close_date = new_date
# trade.close(0.02)
# assert trade.close_date == new_date
@pytest.mark.usefixtures("init_persistence")
def test_calc_close_trade_price_lev(market_lev_buy_order, market_lev_sell_order, fee):
"""
10 minute leveraged market trade on Kraken at 3x leverage
Short trade
fee: 0.25% base
interest_rate: 0.05% per 4 hrs
open_rate: 0.00004099 base
close_rate: 0.00004173 base
amount: 91.99181073 * leverage(3) = 275.97543219 crypto
stake_amount: 0.0037707443218227
borrowed: 0.0075414886436454 base
time-periods: 10 minutes = 2
interest: borrowed * interest_rate * time-periods
= 0.0075414886436454 * 0.0005 * 2 = 7.5414886436454e-06 crypto
open_value: (amount * open_rate) + (amount * open_rate * fee)
= (275.97543219 * 0.00004099) + (275.97543219 * 0.00004099 * 0.0025)
= 0.01134051354788177
close_value: (amount_closed * close_rate) - (amount_closed * close_rate * fee) - interest
= (275.97543219 * 0.00001234) - (275.97543219 * 0.00001234 * 0.0025) - 7.5414886436454e-06
= 0.0033894815024978933
= (275.97543219 * 0.00001234) - (275.97543219 * 0.00001234 * 0.003) - 7.5414886436454e-06
= 0.003387778734081281
= (275.97543219 * 0.00004173) - (275.97543219 * 0.00004173 * 0.005) - 7.5414886436454e-06
= 0.011451331022718612
"""
trade = Trade(
pair='ETH/BTC',
stake_amount=0.0037707443218227,
amount=5,
open_rate=0.00004099,
fee_open=fee.return_value,
fee_close=fee.return_value,
open_date=datetime.utcnow() - timedelta(hours=0, minutes=10),
interest_rate=0.0005,
leverage=3.0,
exchange='kraken',
interest_mode=InterestMode.HOURSPER4
)
trade.open_order_id = 'close_trade'
trade.update(market_lev_buy_order) # Buy @ 0.00001099
# Get the close rate price with a custom close rate and a regular fee rate
assert isclose(trade.calc_close_trade_value(rate=0.00001234), 0.0033894815024978933)
# Get the close rate price with a custom close rate and a custom fee rate
assert isclose(trade.calc_close_trade_value(rate=0.00001234, fee=0.003), 0.003387778734081281)
# Test when we apply a Sell order, and ask price with a custom fee rate
trade.update(market_lev_sell_order)
assert isclose(trade.calc_close_trade_value(fee=0.005), 0.011451331022718612)
@pytest.mark.usefixtures("init_persistence")
def test_update_with_binance_lev(limit_lev_buy_order, limit_lev_sell_order, fee, caplog):
"""
10 minute leveraged limit trade on binance at 3x leverage
Leveraged trade
fee: 0.25% base
interest_rate: 0.05% per day
open_rate: 0.00001099 base
close_rate: 0.00001173 base
amount: 272.97543219 crypto
stake_amount: 0.0009999999999226999 base
borrowed: 0.0019999999998453998 base
time-periods: 10 minutes(rounds up to 1/24 time-period of 1 day)
interest: borrowed * interest_rate * time-periods
= 0.0019999999998453998 * 0.0005 * 1/24 = 4.166666666344583e-08 base
open_value: (amount * open_rate) + (amount * open_rate * fee)
= (272.97543219 * 0.00001099) + (272.97543219 * 0.00001099 * 0.0025)
= 0.0030074999997675204
stake_value = (amount/lev * open_rate) + (amount/lev * open_rate * fee)
= (272.97543219 * 0.00001099) + (272.97543219 * 0.00001099 * 0.0025)
= 0.0010024999999225066
close_value: (amount_closed * close_rate) - (amount_closed * close_rate * fee)
= (272.97543219 * 0.00001173) - (272.97543219 * 0.00001173 * 0.0025)
= 0.003193996815039728
stake_value: (amount/lev * open_rate) + (amount/lev * open_rate * fee)
= (272.97543219/3 * 0.00001099) + (272.97543219/3 * 0.00001099 * 0.0025)
= 0.0010024999999225066
total_profit = close_value - open_value - interest
= 0.003193996815039728 - 0.0030074999997675204 - 4.166666666344583e-08
= 0.00018645514860554435
total_profit_percentage = total_profit / stake_value
= 0.00018645514860554435 / 0.0010024999999225066
= 0.1859901731869899
"""
trade = Trade(
id=2,
pair='ETH/BTC',
stake_amount=0.0009999999999226999,
open_rate=0.01,
amount=5,
is_open=True,
open_date=datetime.utcnow() - timedelta(hours=0, minutes=10),
fee_open=fee.return_value,
fee_close=fee.return_value,
interest_rate=0.0005,
exchange='binance',
interest_mode=InterestMode.HOURSPERDAY
)
# assert trade.open_order_id is None
assert trade.close_profit is None
assert trade.close_date is None
# trade.open_order_id = 'something'
trade.update(limit_lev_buy_order)
# assert trade.open_order_id is None
assert trade.open_rate == 0.00001099
assert trade.close_profit is None
assert trade.close_date is None
assert trade.borrowed == 0.0019999999998453998
assert log_has_re(r"LIMIT_BUY has been fulfilled for Trade\(id=2, "
r"pair=ETH/BTC, amount=272.97543219, open_rate=0.00001099, open_since=.*\).",
caplog)
caplog.clear()
# trade.open_order_id = 'something'
trade.update(limit_lev_sell_order)
# assert trade.open_order_id is None
assert trade.close_rate == 0.00001173
assert trade.close_profit == round(0.1859901731869899, 8)
assert trade.close_date is not None
assert log_has_re(r"LIMIT_SELL has been fulfilled for Trade\(id=2, "
r"pair=ETH/BTC, amount=272.97543219, open_rate=0.00001099, open_since=.*\).",
caplog)
@pytest.mark.usefixtures("init_persistence")
def test_update_market_order_lev(market_lev_buy_order, market_lev_sell_order, fee, caplog):
"""
10 minute leveraged market trade on Kraken at 3x leverage
Short trade
fee: 0.25% base
interest_rate: 0.05% per 4 hrs
open_rate: 0.00004099 base
close_rate: 0.00004173 base
amount: = 275.97543219 crypto
stake_amount: 0.0037707443218227
borrowed: 0.0075414886436454 base
interest: borrowed * interest_rate * 1+ceil(hours)
= 0.0075414886436454 * 0.0005 * (1+ceil(1)) = 7.5414886436454e-06 crypto
open_value: (amount * open_rate) + (amount * open_rate * fee)
= (275.97543219 * 0.00004099) + (275.97543219 * 0.00004099 * 0.0025)
= 0.01134051354788177
close_value: (amount_closed * close_rate) - (amount_closed * close_rate * fee) - interest
= (275.97543219 * 0.00004173) - (275.97543219 * 0.00004173 * 0.0025) - 7.5414886436454e-06
= 0.011480122159681833
stake_value: (amount/lev * open_rate) + (amount/lev * open_rate * fee)
= (275.97543219/3 * 0.00004099) + (275.97543219/3 * 0.00004099 * 0.0025)
= 0.0037801711826272568
total_profit = close_value - open_value
= 0.011480122159681833 - 0.01134051354788177
= 0.00013960861180006392
total_profit_percentage = ((close_value/open_value) - 1) * leverage
= ((0.011480122159681833 / 0.01134051354788177)-1) * 3
= 0.036931822675563275
"""
trade = Trade(
id=1,
pair='ETH/BTC',
stake_amount=0.0037707443218227,
amount=5,
open_rate=0.00004099,
is_open=True,
fee_open=fee.return_value,
fee_close=fee.return_value,
open_date=datetime.utcnow() - timedelta(hours=0, minutes=10),
interest_rate=0.0005,
exchange='kraken',
interest_mode=InterestMode.HOURSPER4
)
trade.open_order_id = 'something'
trade.update(market_lev_buy_order)
assert trade.leverage == 3.0
assert trade.open_order_id is None
assert trade.open_rate == 0.00004099
assert trade.close_profit is None
assert trade.close_date is None
assert trade.interest_rate == 0.0005
# TODO: Uncomment the next assert and make it work.
# The logger also has the exact same but there's some spacing in there
assert log_has_re(r"MARKET_BUY has been fulfilled for Trade\(id=1, "
r"pair=ETH/BTC, amount=275.97543219, open_rate=0.00004099, open_since=.*\).",
caplog)
caplog.clear()
trade.is_open = True
trade.open_order_id = 'something'
trade.update(market_lev_sell_order)
assert trade.open_order_id is None
assert trade.close_rate == 0.00004173
assert trade.close_profit == round(0.036931822675563275, 8)
assert trade.close_date is not None
# TODO: The amount should maybe be the opening amount + the interest
# TODO: Uncomment the next assert and make it work.
# The logger also has the exact same but there's some spacing in there
assert log_has_re(r"MARKET_SELL has been fulfilled for Trade\(id=1, "
r"pair=ETH/BTC, amount=275.97543219, open_rate=0.00004099, open_since=.*\).",
caplog)
@pytest.mark.usefixtures("init_persistence")
def test_calc_close_trade_price_exception_lev(limit_lev_buy_order, fee):
trade = Trade(
pair='ETH/BTC',
stake_amount=0.001,
open_rate=0.1,
amount=5,
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='binance',
interest_rate=0.0005,
leverage=3.0,
interest_mode=InterestMode.HOURSPERDAY
)
trade.open_order_id = 'something'
trade.update(limit_lev_buy_order)
assert trade.calc_close_trade_value() == 0.0
@pytest.mark.usefixtures("init_persistence")
def test_calc_profit_lev(market_lev_buy_order, market_lev_sell_order, fee):
"""
Leveraged trade on Kraken at 3x leverage
fee: 0.25% base or 0.3%
interest_rate: 0.05%, 0.25% per 4 hrs
open_rate: 0.00004099 base
close_rate: 0.00004173 base
stake_amount: 0.0037707443218227
amount: 91.99181073 * leverage(3) = 275.97543219 crypto
borrowed: 0.0075414886436454 base
hours: 1/6, 5 hours
interest: borrowed * interest_rate * ceil(1+hours/4)
= 0.0075414886436454 * 0.0005 * ceil(1+((1/6)/4)) = 7.5414886436454e-06 crypto
= 0.0075414886436454 * 0.00025 * ceil(1+(5/4)) = 5.65611648273405e-06 crypto
= 0.0075414886436454 * 0.0005 * ceil(1+(5/4)) = 1.13122329654681e-05 crypto
= 0.0075414886436454 * 0.00025 * ceil(1+((1/6)/4)) = 3.7707443218227e-06 crypto
open_value: (amount * open_rate) + (amount * open_rate * fee)
= (275.97543219 * 0.00004099) + (275.97543219 * 0.00004099 * 0.0025)
= 0.01134051354788177
close_value: (amount_closed * close_rate) - (amount_closed * close_rate * fee) - interest
(275.97543219 * 0.00005374) - (275.97543219 * 0.00005374 * 0.0025) - 7.5414886436454e-06
= 0.014786300937932227
(275.97543219 * 0.00000437) - (275.97543219 * 0.00000437 * 0.0025) - 5.65611648273405e-06
= 0.0011973414905908902
(275.97543219 * 0.00005374) - (275.97543219 * 0.00005374 * 0.003) - 1.13122329654681e-05
= 0.01477511473374746
(275.97543219 * 0.00000437) - (275.97543219 * 0.00000437 * 0.003) - 3.7707443218227e-06
= 0.0011986238564324662
stake_value: (amount/lev * open_rate) + (amount/lev * open_rate * fee)
= (275.97543219/3 * 0.00004099) + (275.97543219/3 * 0.00004099 * 0.0025)
= 0.0037801711826272568
total_profit = close_value - open_value
= 0.014786300937932227 - 0.01134051354788177 = 0.0034457873900504577
= 0.0011973414905908902 - 0.01134051354788177 = -0.01014317205729088
= 0.01477511473374746 - 0.01134051354788177 = 0.00343460118586569
= 0.0011986238564324662 - 0.01134051354788177 = -0.010141889691449303
total_profit_percentage = ((close_value/open_value) - 1) * leverage
((0.014786300937932227/0.01134051354788177) - 1) * 3 = 0.9115426851266561
((0.0011973414905908902/0.01134051354788177) - 1) * 3 = -2.683257336045103
((0.01477511473374746/0.01134051354788177) - 1) * 3 = 0.908583505860866
((0.0011986238564324662/0.01134051354788177) - 1) * 3 = -2.6829181011851926
"""
trade = Trade(
pair='ETH/BTC',
stake_amount=0.0037707443218227,
amount=5,
open_rate=0.00004099,
open_date=datetime.utcnow() - timedelta(hours=0, minutes=10),
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='kraken',
leverage=3.0,
interest_rate=0.0005,
interest_mode=InterestMode.HOURSPER4
)
trade.open_order_id = 'something'
trade.update(market_lev_buy_order) # Buy @ 0.00001099
# Custom closing rate and regular fee rate
# Higher than open rate
assert trade.calc_profit(rate=0.00005374, interest_rate=0.0005) == round(
0.0034457873900504577, 8)
assert trade.calc_profit_ratio(
rate=0.00005374, interest_rate=0.0005) == round(0.9115426851266561, 8)
# Lower than open rate
trade.open_date = datetime.utcnow() - timedelta(hours=4, minutes=55)
assert trade.calc_profit(
rate=0.00000437, interest_rate=0.00025) == round(-0.01014317205729088, 8)
assert trade.calc_profit_ratio(
rate=0.00000437, interest_rate=0.00025) == round(-2.683257336045103, 8)
# Custom closing rate and custom fee rate
# Higher than open rate
assert trade.calc_profit(rate=0.00005374, fee=0.003,
interest_rate=0.0005) == round(0.00343460118586569, 8)
assert trade.calc_profit_ratio(rate=0.00005374, fee=0.003,
interest_rate=0.0005) == round(0.908583505860866, 8)
# Lower than open rate
trade.open_date = datetime.utcnow() - timedelta(hours=0, minutes=10)
assert trade.calc_profit(rate=0.00000437, fee=0.003,
interest_rate=0.00025) == round(-0.010141889691449303, 8)
assert trade.calc_profit_ratio(rate=0.00000437, fee=0.003,
interest_rate=0.00025) == round(-2.6829181011851926, 8)
# Test when we apply a Sell order. Sell higher than open rate @ 0.00001173
trade.update(market_lev_sell_order)
assert trade.calc_profit() == round(0.00013960861180006392, 8)
assert trade.calc_profit_ratio() == round(0.036931822675563275, 8)
# Test with a custom fee rate on the close trade
# assert trade.calc_profit(fee=0.003) == 0.00006163
# assert trade.calc_profit_ratio(fee=0.003) == 0.06147824

View File

@ -1,780 +0,0 @@
from datetime import datetime, timedelta
from math import isclose
import arrow
import pytest
from freqtrade.enums import InterestMode
from freqtrade.persistence import Trade, init_db
from tests.conftest import create_mock_trades_with_leverage, log_has_re
@pytest.mark.usefixtures("init_persistence")
def test_interest_kraken_short(market_short_order, fee):
"""
Market trade on Kraken at 3x and 8x leverage
Short trade
interest_rate: 0.05%, 0.25% per 4 hrs
open_rate: 0.00004173 base
close_rate: 0.00004099 base
amount:
275.97543219 crypto
459.95905365 crypto
borrowed:
275.97543219 crypto
459.95905365 crypto
time-periods: 10 minutes(rounds up to 1 time-period of 4hrs)
5 hours = 5/4
interest: borrowed * interest_rate * ceil(1 + time-periods)
= 275.97543219 * 0.0005 * ceil(1+1) = 0.27597543219 crypto
= 275.97543219 * 0.00025 * ceil(9/4) = 0.20698157414249999 crypto
= 459.95905365 * 0.0005 * ceil(9/4) = 0.689938580475 crypto
= 459.95905365 * 0.00025 * ceil(1+1) = 0.229979526825 crypto
"""
trade = Trade(
pair='ETH/BTC',
stake_amount=0.001,
amount=275.97543219,
open_rate=0.00001099,
open_date=datetime.utcnow() - timedelta(hours=0, minutes=10),
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='kraken',
is_short=True,
leverage=3.0,
interest_rate=0.0005,
interest_mode=InterestMode.HOURSPER4
)
assert float(round(trade.calculate_interest(), 8)) == round(0.27597543219, 8)
trade.open_date = datetime.utcnow() - timedelta(hours=4, minutes=55)
assert float(round(trade.calculate_interest(interest_rate=0.00025), 8)
) == round(0.20698157414249999, 8)
trade = Trade(
pair='ETH/BTC',
stake_amount=0.001,
amount=459.95905365,
open_rate=0.00001099,
open_date=datetime.utcnow() - timedelta(hours=4, minutes=55),
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='kraken',
is_short=True,
leverage=5.0,
interest_rate=0.0005,
interest_mode=InterestMode.HOURSPER4
)
assert float(round(trade.calculate_interest(), 8)) == round(0.689938580475, 8)
trade.open_date = datetime.utcnow() - timedelta(hours=0, minutes=10)
assert float(round(trade.calculate_interest(interest_rate=0.00025), 8)
) == round(0.229979526825, 8)
@ pytest.mark.usefixtures("init_persistence")
def test_interest_binance_short(market_short_order, fee):
"""
Market trade on Binance at 3x and 5x leverage
Short trade
interest_rate: 0.05%, 0.25% per 1 day
open_rate: 0.00004173 base
close_rate: 0.00004099 base
amount:
91.99181073 * leverage(3) = 275.97543219 crypto
91.99181073 * leverage(5) = 459.95905365 crypto
borrowed:
275.97543219 crypto
459.95905365 crypto
time-periods: 10 minutes(rounds up to 1/24 time-period of 1 day)
5 hours = 5/24
interest: borrowed * interest_rate * time-periods
= 275.97543219 * 0.0005 * 1/24 = 0.005749488170625 crypto
= 275.97543219 * 0.00025 * 5/24 = 0.0143737204265625 crypto
= 459.95905365 * 0.0005 * 5/24 = 0.047912401421875 crypto
= 459.95905365 * 0.00025 * 1/24 = 0.0047912401421875 crypto
"""
trade = Trade(
pair='ETH/BTC',
stake_amount=0.001,
amount=275.97543219,
open_rate=0.00001099,
open_date=datetime.utcnow() - timedelta(hours=0, minutes=10),
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='binance',
is_short=True,
leverage=3.0,
interest_rate=0.0005,
interest_mode=InterestMode.HOURSPERDAY
)
assert float(round(trade.calculate_interest(), 8)) == 0.00574949
trade.open_date = datetime.utcnow() - timedelta(hours=4, minutes=55)
assert float(round(trade.calculate_interest(interest_rate=0.00025), 8)) == 0.01437372
trade = Trade(
pair='ETH/BTC',
stake_amount=0.001,
amount=459.95905365,
open_rate=0.00001099,
open_date=datetime.utcnow() - timedelta(hours=4, minutes=55),
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='binance',
is_short=True,
leverage=5.0,
interest_rate=0.0005,
interest_mode=InterestMode.HOURSPERDAY
)
assert float(round(trade.calculate_interest(), 8)) == 0.04791240
trade.open_date = datetime.utcnow() - timedelta(hours=0, minutes=10)
assert float(round(trade.calculate_interest(interest_rate=0.00025), 8)) == 0.00479124
@ pytest.mark.usefixtures("init_persistence")
def test_calc_open_trade_value_short(market_short_order, fee):
trade = Trade(
pair='ETH/BTC',
stake_amount=0.001,
amount=5,
open_rate=0.00004173,
open_date=datetime.utcnow() - timedelta(hours=0, minutes=10),
fee_open=fee.return_value,
fee_close=fee.return_value,
interest_rate=0.0005,
is_short=True,
leverage=3.0,
exchange='kraken',
interest_mode=InterestMode.HOURSPER4
)
trade.open_order_id = 'open_trade'
trade.update(market_short_order) # Buy @ 0.00001099
# Get the open rate price with the standard fee rate
assert trade._calc_open_trade_value() == 0.011487663648325479
trade.fee_open = 0.003
# Get the open rate price with a custom fee rate
assert trade._calc_open_trade_value() == 0.011481905420932834
@ pytest.mark.usefixtures("init_persistence")
def test_update_open_order_short(limit_short_order):
trade = Trade(
pair='ETH/BTC',
stake_amount=1.00,
open_rate=0.01,
amount=5,
leverage=3.0,
fee_open=0.1,
fee_close=0.1,
interest_rate=0.0005,
is_short=True,
exchange='binance',
interest_mode=InterestMode.HOURSPERDAY
)
assert trade.open_order_id is None
assert trade.close_profit is None
assert trade.close_date is None
limit_short_order['status'] = 'open'
trade.update(limit_short_order)
assert trade.open_order_id is None
assert trade.close_profit is None
assert trade.close_date is None
@ pytest.mark.usefixtures("init_persistence")
def test_calc_close_trade_price_exception_short(limit_short_order, fee):
trade = Trade(
pair='ETH/BTC',
stake_amount=0.001,
open_rate=0.1,
amount=15.0,
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='binance',
interest_rate=0.0005,
leverage=3.0,
is_short=True,
interest_mode=InterestMode.HOURSPERDAY
)
trade.open_order_id = 'something'
trade.update(limit_short_order)
assert trade.calc_close_trade_value() == 0.0
@ pytest.mark.usefixtures("init_persistence")
def test_calc_close_trade_price_short(market_short_order, market_exit_short_order, fee):
"""
10 minute short market trade on Kraken at 3x leverage
Short trade
fee: 0.25% base
interest_rate: 0.05% per 4 hrs
open_rate: 0.00004173 base
close_rate: 0.00001234 base
amount: = 275.97543219 crypto
borrowed: 275.97543219 crypto
hours: 10 minutes = 1/6
interest: borrowed * interest_rate * ceil(1 + hours/4)
= 275.97543219 * 0.0005 * ceil(1 + ((1/6)/4)) = 0.27597543219 crypto
amount_closed: amount + interest = 275.97543219 + 0.27597543219 = 276.25140762219
close_value: (amount_closed * close_rate) + (amount_closed * close_rate * fee)
= (276.25140762219 * 0.00004099) + (276.25140762219 * 0.00004099 * 0.005)
= 0.011380162924425737
"""
trade = Trade(
pair='ETH/BTC',
stake_amount=0.001,
amount=5,
open_rate=0.00001099,
fee_open=fee.return_value,
fee_close=fee.return_value,
open_date=datetime.utcnow() - timedelta(hours=0, minutes=10),
interest_rate=0.0005,
is_short=True,
leverage=3.0,
exchange='kraken',
interest_mode=InterestMode.HOURSPER4
)
trade.open_order_id = 'close_trade'
trade.update(market_short_order) # Buy @ 0.00001099
# Get the close rate price with a custom close rate and a regular fee rate
assert isclose(trade.calc_close_trade_value(rate=0.00001234), 0.0034174647259)
# Get the close rate price with a custom close rate and a custom fee rate
assert isclose(trade.calc_close_trade_value(rate=0.00001234, fee=0.003), 0.0034191691971679986)
# Test when we apply a Sell order, and ask price with a custom fee rate
trade.update(market_exit_short_order)
assert isclose(trade.calc_close_trade_value(fee=0.005), 0.011380162924425737)
@ pytest.mark.usefixtures("init_persistence")
def test_calc_open_close_trade_price_short(limit_short_order, limit_exit_short_order, fee):
"""
5 hour short trade on Binance
Short trade
fee: 0.25% base
interest_rate: 0.05% per day
open_rate: 0.00001173 base
close_rate: 0.00001099 base
amount: 90.99181073 crypto
borrowed: 90.99181073 crypto
stake_amount: 0.0010673339398629
time-periods: 5 hours = 5/24
interest: borrowed * interest_rate * time-periods
= 90.99181073 * 0.0005 * 5/24 = 0.009478313617708333 crypto
open_value: (amount * open_rate) - (amount * open_rate * fee)
= (90.99181073 * 0.00001173) - (90.99181073 * 0.00001173 * 0.0025)
= 0.0010646656050132426
amount_closed: amount + interest = 90.99181073 + 0.009478313617708333 = 91.0012890436177
close_value: (amount_closed * close_rate) + (amount_closed * close_rate * fee)
= (91.0012890436177 * 0.00001099) + (91.0012890436177 * 0.00001099 * 0.0025)
= 0.001002604427005832
stake_value = (amount/lev * open_rate) - (amount/lev * open_rate * fee)
= 0.0010646656050132426
total_profit = open_value - close_value
= 0.0010646656050132426 - 0.001002604427005832
= 0.00006206117800741065
total_profit_percentage = (close_value - open_value) / stake_value
= (0.0010646656050132426 - 0.001002604427005832)/0.0010646656050132426
= 0.05829170935473088
"""
trade = Trade(
pair='ETH/BTC',
stake_amount=0.0010673339398629,
open_rate=0.01,
amount=5,
open_date=datetime.utcnow() - timedelta(hours=4, minutes=55),
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='binance',
interest_rate=0.0005,
interest_mode=InterestMode.HOURSPERDAY
)
trade.open_order_id = 'something'
trade.update(limit_short_order)
assert trade._calc_open_trade_value() == 0.0010646656050132426
trade.update(limit_exit_short_order)
# Is slightly different due to compilation time. Interest depends on time
assert round(trade.calc_close_trade_value(), 11) == round(0.001002604427005832, 11)
# Profit in BTC
assert round(trade.calc_profit(), 8) == round(0.00006206117800741065, 8)
# Profit in percent
assert round(trade.calc_profit_ratio(), 8) == round(0.05829170935473088, 8)
@ pytest.mark.usefixtures("init_persistence")
def test_trade_close_short(fee):
"""
Five hour short trade on Kraken at 3x leverage
Short trade
Exchange: Kraken
fee: 0.25% base
interest_rate: 0.05% per 4 hours
open_rate: 0.02 base
close_rate: 0.01 base
leverage: 3.0
amount: 15 crypto
borrowed: 15 crypto
time-periods: 5 hours = 5/4
interest: borrowed * interest_rate * time-periods
= 15 * 0.0005 * ceil(1 + 5/4) = 0.0225 crypto
open_value: (amount * open_rate) - (amount * open_rate * fee)
= (15 * 0.02) - (15 * 0.02 * 0.0025)
= 0.29925
amount_closed: amount + interest = 15 + 0.009375 = 15.0225
close_value: (amount_closed * close_rate) + (amount_closed * close_rate * fee)
= (15.0225 * 0.01) + (15.0225 * 0.01 * 0.0025)
= 0.15060056250000003
total_profit = open_value - close_value
= 0.29925 - 0.15060056250000003
= 0.14864943749999998
total_profit_percentage = (1-(close_value/open_value)) * leverage
= (1 - (0.15060056250000003/0.29925)) * 3
= 1.4902199248120298
"""
trade = Trade(
pair='ETH/BTC',
stake_amount=0.1,
open_rate=0.02,
amount=15,
is_open=True,
fee_open=fee.return_value,
fee_close=fee.return_value,
open_date=datetime.utcnow() - timedelta(hours=4, minutes=55),
exchange='kraken',
is_short=True,
leverage=3.0,
interest_rate=0.0005,
interest_mode=InterestMode.HOURSPER4
)
assert trade.close_profit is None
assert trade.close_date is None
assert trade.is_open is True
trade.close(0.01)
assert trade.is_open is False
assert trade.close_profit == round(1.4902199248120298, 8)
assert trade.close_date is not None
# TODO-mg: Remove these comments probably
# new_date = arrow.Arrow(2020, 2, 2, 15, 6, 1).datetime,
# assert trade.close_date != new_date
# # Close should NOT update close_date if the trade has been closed already
# assert trade.is_open is False
# trade.close_date = new_date
# trade.close(0.02)
# assert trade.close_date == new_date
@ pytest.mark.usefixtures("init_persistence")
def test_update_with_binance_short(limit_short_order, limit_exit_short_order, fee, caplog):
"""
10 minute short limit trade on binance
Short trade
fee: 0.25% base
interest_rate: 0.05% per day
open_rate: 0.00001173 base
close_rate: 0.00001099 base
amount: 90.99181073 crypto
stake_amount: 0.0010673339398629 base
borrowed: 90.99181073 crypto
time-periods: 10 minutes(rounds up to 1/24 time-period of 1 day)
interest: borrowed * interest_rate * time-periods
= 90.99181073 * 0.0005 * 1/24 = 0.0018956627235416667 crypto
open_value: (amount * open_rate) - (amount * open_rate * fee)
= 90.99181073 * 0.00001173 - 90.99181073 * 0.00001173 * 0.0025
= 0.0010646656050132426
amount_closed: amount + interest = 90.99181073 + 0.0018956627235416667 = 90.99370639272354
close_value: (amount_closed * close_rate) + (amount_closed * close_rate * fee)
= (90.99370639272354 * 0.00001099) + (90.99370639272354 * 0.00001099 * 0.0025)
= 0.0010025208853391716
total_profit = open_value - close_value
= 0.0010646656050132426 - 0.0010025208853391716
= 0.00006214471967407108
total_profit_percentage = (1 - (close_value/open_value)) * leverage
= (1 - (0.0010025208853391716/0.0010646656050132426)) * 1
= 0.05837017687191848
"""
trade = Trade(
id=2,
pair='ETH/BTC',
stake_amount=0.0010673339398629,
open_rate=0.01,
amount=5,
is_open=True,
open_date=datetime.utcnow() - timedelta(hours=0, minutes=10),
fee_open=fee.return_value,
fee_close=fee.return_value,
# borrowed=90.99181073,
interest_rate=0.0005,
exchange='binance',
interest_mode=InterestMode.HOURSPERDAY
)
# assert trade.open_order_id is None
assert trade.close_profit is None
assert trade.close_date is None
assert trade.borrowed == 0.0
assert trade.is_short is None
# trade.open_order_id = 'something'
trade.update(limit_short_order)
# assert trade.open_order_id is None
assert trade.open_rate == 0.00001173
assert trade.close_profit is None
assert trade.close_date is None
assert trade.borrowed == 90.99181073
assert trade.is_short is True
assert log_has_re(r"LIMIT_SELL has been fulfilled for Trade\(id=2, "
r"pair=ETH/BTC, amount=90.99181073, open_rate=0.00001173, open_since=.*\).",
caplog)
caplog.clear()
# trade.open_order_id = 'something'
trade.update(limit_exit_short_order)
# assert trade.open_order_id is None
assert trade.close_rate == 0.00001099
assert trade.close_profit == round(0.05837017687191848, 8)
assert trade.close_date is not None
assert log_has_re(r"LIMIT_BUY has been fulfilled for Trade\(id=2, "
r"pair=ETH/BTC, amount=90.99181073, open_rate=0.00001173, open_since=.*\).",
caplog)
@ pytest.mark.usefixtures("init_persistence")
def test_update_market_order_short(
market_short_order,
market_exit_short_order,
fee,
caplog
):
"""
10 minute short market trade on Kraken at 3x leverage
Short trade
fee: 0.25% base
interest_rate: 0.05% per 4 hrs
open_rate: 0.00004173 base
close_rate: 0.00004099 base
amount: = 275.97543219 crypto
stake_amount: 0.0038388182617629
borrowed: 275.97543219 crypto
time-periods: 10 minutes(rounds up to 1 time-period of 4hrs)
interest: borrowed * interest_rate * time-periods
= 275.97543219 * 0.0005 * 2 = 0.27597543219 crypto
open_value: (amount * open_rate) - (amount * open_rate * fee)
= 275.97543219 * 0.00004173 - 275.97543219 * 0.00004173 * 0.0025
= 0.011487663648325479
amount_closed: amount + interest = 275.97543219 + 0.27597543219 = 276.25140762219
close_value: (amount_closed * close_rate) + (amount_closed * close_rate * fee)
= (276.25140762219 * 0.00004099) + (276.25140762219 * 0.00004099 * 0.0025)
= 0.0034174647259
total_profit = open_value - close_value
= 0.011487663648325479 - 0.0034174647259
= 0.00013580958689582596
total_profit_percentage = total_profit / stake_amount
= (1 - (close_value/open_value)) * leverage
= (1 - (0.0034174647259/0.011487663648325479)) * 3
= 0.03546663387440563
"""
trade = Trade(
id=1,
pair='ETH/BTC',
stake_amount=0.0038388182617629,
amount=5,
open_rate=0.01,
is_open=True,
fee_open=fee.return_value,
fee_close=fee.return_value,
open_date=datetime.utcnow() - timedelta(hours=0, minutes=10),
interest_rate=0.0005,
exchange='kraken',
interest_mode=InterestMode.HOURSPER4
)
trade.open_order_id = 'something'
trade.update(market_short_order)
assert trade.leverage == 3.0
assert trade.is_short is True
assert trade.open_order_id is None
assert trade.open_rate == 0.00004173
assert trade.close_profit is None
assert trade.close_date is None
assert trade.interest_rate == 0.0005
# The logger also has the exact same but there's some spacing in there
assert log_has_re(r"MARKET_SELL has been fulfilled for Trade\(id=1, "
r"pair=ETH/BTC, amount=275.97543219, open_rate=0.00004173, open_since=.*\).",
caplog)
caplog.clear()
trade.is_open = True
trade.open_order_id = 'something'
trade.update(market_exit_short_order)
assert trade.open_order_id is None
assert trade.close_rate == 0.00004099
assert trade.close_profit == round(0.03546663387440563, 8)
assert trade.close_date is not None
# TODO-mg: The amount should maybe be the opening amount + the interest
# TODO-mg: Uncomment the next assert and make it work.
# The logger also has the exact same but there's some spacing in there
assert log_has_re(r"MARKET_BUY has been fulfilled for Trade\(id=1, "
r"pair=ETH/BTC, amount=275.97543219, open_rate=0.00004173, open_since=.*\).",
caplog)
@ pytest.mark.usefixtures("init_persistence")
def test_calc_profit_short(market_short_order, market_exit_short_order, fee):
"""
Market trade on Kraken at 3x leverage
Short trade
fee: 0.25% base or 0.3%
interest_rate: 0.05%, 0.025% per 4 hrs
open_rate: 0.00004173 base
close_rate: 0.00004099 base
stake_amount: 0.0038388182617629
amount: = 275.97543219 crypto
borrowed: 275.97543219 crypto
time-periods: 10 minutes(rounds up to 1 time-period of 4hrs)
5 hours = 5/4
interest: borrowed * interest_rate * time-periods
= 275.97543219 * 0.0005 * ceil(1+1) = 0.27597543219 crypto
= 275.97543219 * 0.00025 * ceil(1+5/4) = 0.20698157414249999 crypto
= 275.97543219 * 0.0005 * ceil(1+5/4) = 0.41396314828499997 crypto
= 275.97543219 * 0.00025 * ceil(1+1) = 0.27597543219 crypto
= 275.97543219 * 0.00025 * ceil(1+1) = 0.27597543219 crypto
open_value: (amount * open_rate) - (amount * open_rate * fee)
= (275.97543219 * 0.00004173) - (275.97543219 * 0.00004173 * 0.0025)
= 0.011487663648325479
amount_closed: amount + interest
= 275.97543219 + 0.27597543219 = 276.25140762219
= 275.97543219 + 0.20698157414249999 = 276.1824137641425
= 275.97543219 + 0.41396314828499997 = 276.389395338285
= 275.97543219 + 0.27597543219 = 276.25140762219
close_value: (amount_closed * close_rate) + (amount_closed * close_rate * fee)
(276.25140762219 * 0.00004374) + (276.25140762219 * 0.00004374 * 0.0025)
= 0.012113444660818078
(276.1824137641425 * 0.00000437) + (276.1824137641425 * 0.00000437 * 0.0025)
= 0.0012099344410196758
(276.389395338285 * 0.00004374) + (276.389395338285 * 0.00004374 * 0.003)
= 0.012125539968552874
(276.25140762219 * 0.00000437) + (276.25140762219 * 0.00000437 * 0.003)
= 0.0012102354919246037
(276.25140762219 * 0.00004099) + (276.25140762219 * 0.00004099 * 0.0025)
= 0.011351854061429653
total_profit = open_value - close_value
= 0.011487663648325479 - 0.012113444660818078 = -0.0006257810124925996
= 0.011487663648325479 - 0.0012099344410196758 = 0.010277729207305804
= 0.011487663648325479 - 0.012125539968552874 = -0.0006378763202273957
= 0.011487663648325479 - 0.0012102354919246037 = 0.010277428156400875
= 0.011487663648325479 - 0.011351854061429653 = 0.00013580958689582596
total_profit_percentage = (1-(close_value/open_value)) * leverage
(1-(0.012113444660818078 /0.011487663648325479))*3 = -0.16342252828332549
(1-(0.0012099344410196758/0.011487663648325479))*3 = 2.6840259748040123
(1-(0.012125539968552874 /0.011487663648325479))*3 = -0.16658121435868578
(1-(0.0012102354919246037/0.011487663648325479))*3 = 2.68394735544829
(1-(0.011351854061429653/0.011487663648325479))*3 = 0.03546663387440563
"""
trade = Trade(
pair='ETH/BTC',
stake_amount=0.0038388182617629,
amount=5,
open_rate=0.00001099,
open_date=datetime.utcnow() - timedelta(hours=0, minutes=10),
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='kraken',
is_short=True,
interest_rate=0.0005,
interest_mode=InterestMode.HOURSPER4
)
trade.open_order_id = 'something'
trade.update(market_short_order) # Buy @ 0.00001099
# Custom closing rate and regular fee rate
# Higher than open rate
assert trade.calc_profit(
rate=0.00004374, interest_rate=0.0005) == round(-0.0006257810124925996, 8)
assert trade.calc_profit_ratio(
rate=0.00004374, interest_rate=0.0005) == round(-0.16342252828332549, 8)
# Lower than open rate
trade.open_date = datetime.utcnow() - timedelta(hours=4, minutes=55)
assert trade.calc_profit(rate=0.00000437, interest_rate=0.00025) == round(
0.010277729207305804, 8)
assert trade.calc_profit_ratio(
rate=0.00000437, interest_rate=0.00025) == round(2.6840259748040123, 8)
# Custom closing rate and custom fee rate
# Higher than open rate
assert trade.calc_profit(rate=0.00004374, fee=0.003,
interest_rate=0.0005) == round(-0.0006378763202273957, 8)
assert trade.calc_profit_ratio(rate=0.00004374, fee=0.003,
interest_rate=0.0005) == round(-0.16658121435868578, 8)
# Lower than open rate
trade.open_date = datetime.utcnow() - timedelta(hours=0, minutes=10)
assert trade.calc_profit(rate=0.00000437, fee=0.003,
interest_rate=0.00025) == round(0.010277428156400875, 8)
assert trade.calc_profit_ratio(rate=0.00000437, fee=0.003,
interest_rate=0.00025) == round(2.68394735544829, 8)
# Test when we apply a exit short order.
trade.update(market_exit_short_order)
assert trade.calc_profit(rate=0.00004099) == round(0.00013580958689582596, 8)
assert trade.calc_profit_ratio() == round(0.03546663387440563, 8)
# Test with a custom fee rate on the close trade
# assert trade.calc_profit(fee=0.003) == 0.00006163
# assert trade.calc_profit_ratio(fee=0.003) == 0.06147824
def test_adjust_stop_loss_short(fee):
trade = Trade(
pair='ETH/BTC',
stake_amount=0.001,
amount=5,
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='binance',
open_rate=1,
max_rate=1,
is_short=True,
interest_mode=InterestMode.HOURSPERDAY
)
trade.adjust_stop_loss(trade.open_rate, 0.05, True)
assert trade.stop_loss == 1.05
assert trade.stop_loss_pct == 0.05
assert trade.initial_stop_loss == 1.05
assert trade.initial_stop_loss_pct == 0.05
# Get percent of profit with a lower rate
trade.adjust_stop_loss(1.04, 0.05)
assert trade.stop_loss == 1.05
assert trade.stop_loss_pct == 0.05
assert trade.initial_stop_loss == 1.05
assert trade.initial_stop_loss_pct == 0.05
# Get percent of profit with a custom rate (Higher than open rate)
trade.adjust_stop_loss(0.7, 0.1)
# If the price goes down to 0.7, with a trailing stop of 0.1,
# the new stoploss at 0.1 above 0.7 would be 0.7*0.1 higher
assert round(trade.stop_loss, 8) == 0.77
assert trade.stop_loss_pct == 0.1
assert trade.initial_stop_loss == 1.05
assert trade.initial_stop_loss_pct == 0.05
# current rate lower again ... should not change
trade.adjust_stop_loss(0.8, -0.1)
assert round(trade.stop_loss, 8) == 0.77
assert trade.initial_stop_loss == 1.05
assert trade.initial_stop_loss_pct == 0.05
# current rate higher... should raise stoploss
trade.adjust_stop_loss(0.6, -0.1)
assert round(trade.stop_loss, 8) == 0.66
assert trade.initial_stop_loss == 1.05
assert trade.initial_stop_loss_pct == 0.05
# Initial is true but stop_loss set - so doesn't do anything
trade.adjust_stop_loss(0.3, -0.1, True)
assert round(trade.stop_loss, 8) == 0.66 # TODO-mg: What is this test?
assert trade.initial_stop_loss == 1.05
assert trade.initial_stop_loss_pct == 0.05
assert trade.stop_loss_pct == 0.1
trade.set_liquidation_price(0.63)
trade.adjust_stop_loss(0.59, -0.1)
assert trade.stop_loss == 0.63
assert trade.liquidation_price == 0.63
# TODO-mg: Do a test with a trade that has a liquidation price
@ pytest.mark.usefixtures("init_persistence")
@ pytest.mark.parametrize('use_db', [True, False])
def test_get_open_short(fee, use_db):
Trade.use_db = use_db
Trade.reset_trades()
create_mock_trades_with_leverage(fee, use_db)
assert len(Trade.get_open_trades()) == 5
Trade.use_db = True
def test_stoploss_reinitialization_short(default_conf, fee):
init_db(default_conf['db_url'])
trade = Trade(
pair='ETH/BTC',
stake_amount=0.001,
fee_open=fee.return_value,
open_date=arrow.utcnow().shift(hours=-2).datetime,
amount=10,
fee_close=fee.return_value,
exchange='binance',
open_rate=1,
max_rate=1,
is_short=True,
leverage=3.0,
interest_mode=InterestMode.HOURSPERDAY
)
trade.adjust_stop_loss(trade.open_rate, -0.05, True)
assert trade.stop_loss == 1.05
assert trade.stop_loss_pct == 0.05
assert trade.initial_stop_loss == 1.05
assert trade.initial_stop_loss_pct == 0.05
Trade.query.session.add(trade)
# Lower stoploss
Trade.stoploss_reinitialization(-0.06)
trades = Trade.get_open_trades()
assert len(trades) == 1
trade_adj = trades[0]
assert trade_adj.stop_loss == 1.06
assert trade_adj.stop_loss_pct == 0.06
assert trade_adj.initial_stop_loss == 1.06
assert trade_adj.initial_stop_loss_pct == 0.06
# Raise stoploss
Trade.stoploss_reinitialization(-0.04)
trades = Trade.get_open_trades()
assert len(trades) == 1
trade_adj = trades[0]
assert trade_adj.stop_loss == 1.04
assert trade_adj.stop_loss_pct == 0.04
assert trade_adj.initial_stop_loss == 1.04
assert trade_adj.initial_stop_loss_pct == 0.04
# Trailing stoploss
trade.adjust_stop_loss(0.98, -0.04)
assert trade_adj.stop_loss == 1.0192
assert trade_adj.initial_stop_loss == 1.04
Trade.stoploss_reinitialization(-0.04)
trades = Trade.get_open_trades()
assert len(trades) == 1
trade_adj = trades[0]
# Stoploss should not change in this case.
assert trade_adj.stop_loss == 1.0192
assert trade_adj.stop_loss_pct == 0.04
assert trade_adj.initial_stop_loss == 1.04
assert trade_adj.initial_stop_loss_pct == 0.04
# Stoploss can't go above liquidation price
trade_adj.set_liquidation_price(1.0)
trade.adjust_stop_loss(0.97, -0.04)
assert trade_adj.stop_loss == 1.0
assert trade_adj.stop_loss == 1.0
@ pytest.mark.usefixtures("init_persistence")
@ pytest.mark.parametrize('use_db', [True, False])
def test_total_open_trades_stakes_short(fee, use_db):
Trade.use_db = use_db
Trade.reset_trades()
res = Trade.total_open_trades_stakes()
assert res == 0
create_mock_trades_with_leverage(fee, use_db)
res = Trade.total_open_trades_stakes()
assert res == 15.133
Trade.use_db = True
@ pytest.mark.usefixtures("init_persistence")
def test_get_best_pair_short(fee):
res = Trade.get_best_pair()
assert res is None
create_mock_trades_with_leverage(fee)
res = Trade.get_best_pair()
assert len(res) == 2
assert res[0] == 'DOGE/BTC'
assert res[1] == 0.1713156134055116