freqtrade_origin/tests/persistence/test_persistence_leverage.py

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from datetime import datetime, timedelta
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from math import isclose
import pytest
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from freqtrade.enums import InterestMode
from freqtrade.persistence import Trade
from tests.conftest import log_has_re
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@pytest.mark.usefixtures("init_persistence")
def test_interest_kraken_lev(market_lev_buy_order, fee):
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"""
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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
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interest: borrowed * interest_rate * time-periods
= 0.0075414886436454 * 0.0005 * 1 = 3.7707443218227e-06 base
= 0.0075414886436454 * 0.00025 * 5/4 = 2.3567152011391876e-06 base
= 0.0150829772872908 * 0.0005 * 5/4 = 9.42686080455675e-06 base
= 0.0150829772872908 * 0.00025 * 1 = 3.7707443218227e-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,
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interest_rate=0.0005,
interest_mode=InterestMode.HOURSPER4
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)
# 10 minutes round up to 4 hours evenly on kraken so we can predict the exact value
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assert float(trade.calculate_interest()) == 3.7707443218227e-06
trade.open_date = datetime.utcnow() - timedelta(hours=5, minutes=0)
# All trade > 5 hours will vary slightly due to execution time and interest calculated
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assert float(round(trade.calculate_interest(interest_rate=0.00025), 11)
) == round(2.3567152011391876e-06, 11)
trade = Trade(
pair='ETH/BTC',
stake_amount=0.0037707443218227,
amount=459.95905365,
open_rate=0.00001099,
open_date=datetime.utcnow() - timedelta(hours=5, minutes=0),
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='kraken',
leverage=5.0,
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interest_rate=0.0005,
interest_mode=InterestMode.HOURSPER4
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)
assert float(round(trade.calculate_interest(), 11)
) == round(9.42686080455675e-06, 11)
trade.open_date = datetime.utcnow() - timedelta(hours=0, minutes=10)
assert float(trade.calculate_interest(interest_rate=0.00025)) == 3.7707443218227e-06
@pytest.mark.usefixtures("init_persistence")
def test_interest_binance_lev(market_lev_buy_order, fee):
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"""
Market trade on Kraken at 3x and 5x leverage
Short trade
interest_rate: 0.05%, 0.25% per 4 hrs
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open_rate: 0.00001099 base
close_rate: 0.00001173 base
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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
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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
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"""
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trade = Trade(
pair='ETH/BTC',
stake_amount=0.0009999999999226999,
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amount=272.97543219,
open_rate=0.00001099,
open_date=datetime.utcnow() - timedelta(hours=0, minutes=10),
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fee_open=fee.return_value,
fee_close=fee.return_value,
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exchange='binance',
leverage=3.0,
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interest_rate=0.0005,
interest_mode=InterestMode.HOURSPERDAY
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)
# 10 minutes round up to 4 hours evenly on kraken so we can predict the them more accurately
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assert round(float(trade.calculate_interest()), 22) == round(4.166666666344583e-08, 22)
trade.open_date = datetime.utcnow() - timedelta(hours=5, minutes=0)
# All trade > 5 hours will vary slightly due to execution time and interest calculated
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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=5, minutes=0),
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='binance',
leverage=5.0,
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interest_rate=0.0005,
interest_mode=InterestMode.HOURSPERDAY
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)
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):
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trade = Trade(
pair='ETH/BTC',
stake_amount=1.00,
open_rate=0.01,
amount=5,
fee_open=0.1,
fee_close=0.1,
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interest_rate=0.0005,
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exchange='binance',
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interest_mode=InterestMode.HOURSPERDAY
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)
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assert trade.open_order_id is None
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assert trade.close_profit is None
assert trade.close_date is None
limit_lev_buy_order['status'] = 'open'
trade.update(limit_lev_buy_order)
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assert trade.open_order_id is None
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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):
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"""
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
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= 0.0075414886436454 * 0.0005 * 1 = 3.7707443218227e-06 crypto
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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',
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stake_amount=0.001,
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amount=5,
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open_rate=0.00004099,
open_date=datetime.utcnow() - timedelta(hours=0, minutes=10),
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fee_open=fee.return_value,
fee_close=fee.return_value,
interest_rate=0.0005,
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exchange='kraken',
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leverage=3,
interest_mode=InterestMode.HOURSPER4
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)
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trade.open_order_id = 'open_trade'
trade.update(market_lev_buy_order) # Buy @ 0.00001099
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# 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
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@pytest.mark.usefixtures("init_persistence")
def test_calc_open_close_trade_price_lev(limit_lev_buy_order, limit_lev_sell_order, fee):
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"""
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
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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
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= 0.003193788481706411
total_profit = close_value - open_value
= 0.003193788481706411 - 0.0030074999997675204
= 0.00018628848193889044
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total_profit_percentage = total_profit / stake_amount
= 0.00018628848193889054 / 0.0009999999999226999
= 0.18628848195329067
"""
trade = Trade(
pair='ETH/BTC',
stake_amount=0.0009999999999226999,
open_rate=0.01,
amount=5,
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open_date=datetime.utcnow() - timedelta(hours=5, minutes=0),
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fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='binance',
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interest_rate=0.0005,
interest_mode=InterestMode.HOURSPERDAY
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)
trade.open_order_id = 'something'
trade.update(limit_lev_buy_order)
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assert trade._calc_open_trade_value() == 0.00300749999976752
trade.update(limit_lev_sell_order)
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# Is slightly different due to compilation time changes. Interest depends on time
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assert round(trade.calc_close_trade_value(), 11) == round(0.003193788481706411, 11)
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# Profit in BTC
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assert round(trade.calc_profit(), 8) == round(0.00018628848193889054, 8)
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# Profit in percent
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assert round(trade.calc_profit_ratio(), 8) == round(0.18628848195329067, 8)
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@pytest.mark.usefixtures("init_persistence")
def test_trade_close_lev(fee):
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"""
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 * time-periods
= 1 * 0.0005 * 5/4 = 0.000625 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
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= (15 * 0.2) - (15 * 0.2 * 0.0025) - 0.000625
= 2.9918750000000003
total_profit = close_value - open_value
= 2.9918750000000003 - 1.50375
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= 1.4881250000000001
total_profit_percentage = total_profit / stake_amount
= 1.4881250000000001 / 0.5
= 2.9762500000000003
"""
trade = Trade(
pair='ETH/BTC',
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stake_amount=0.5,
open_rate=0.1,
amount=15,
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is_open=True,
fee_open=fee.return_value,
fee_close=fee.return_value,
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open_date=datetime.utcnow() - timedelta(hours=5, minutes=0),
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exchange='kraken',
leverage=3.0,
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interest_rate=0.0005,
interest_mode=InterestMode.HOURSPER4
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)
assert trade.close_profit is None
assert trade.close_date is None
assert trade.is_open is True
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trade.close(0.2)
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assert trade.is_open is False
assert trade.close_profit == round(2.9762500000000003, 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):
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"""
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 = 3.7707443218227e-06 crypto
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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) - 3.7707443218227e-06
= 0.003393252246819716
= (275.97543219 * 0.00001234) - (275.97543219 * 0.00001234 * 0.003) - 3.7707443218227e-06
= 0.003391549478403104
= (275.97543219 * 0.00004173) - (275.97543219 * 0.00004173 * 0.005) - 3.7707443218227e-06
= 0.011455101767040435
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"""
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trade = Trade(
pair='ETH/BTC',
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stake_amount=0.0037707443218227,
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amount=5,
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open_rate=0.00004099,
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fee_open=fee.return_value,
fee_close=fee.return_value,
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open_date=datetime.utcnow() - timedelta(hours=0, minutes=10),
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interest_rate=0.0005,
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leverage=3.0,
exchange='kraken',
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interest_mode=InterestMode.HOURSPER4
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)
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trade.open_order_id = 'close_trade'
trade.update(market_lev_buy_order) # Buy @ 0.00001099
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# 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), 0.003393252246819716)
# 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), 0.003391549478403104)
# Test when we apply a Sell order, and ask price with a custom fee rate
trade.update(market_lev_sell_order)
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assert isclose(trade.calc_close_trade_value(fee=0.005), 0.011455101767040435)
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@pytest.mark.usefixtures("init_persistence")
def test_update_limit_order_lev(limit_lev_buy_order, limit_lev_sell_order, fee, caplog):
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"""
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
close_value: (amount_closed * close_rate) - (amount_closed * close_rate * fee)
= (272.97543219 * 0.00001173) - (272.97543219 * 0.00001173 * 0.0025)
= 0.003193996815039728
total_profit = close_value - open_value - interest
= 0.003193996815039728 - 0.0030074999997675204 - 4.166666666344583e-08
= 0.00018645514860554435
total_profit_percentage = total_profit / stake_amount
= 0.00018645514860554435 / 0.0009999999999226999
= 0.18645514861995735
"""
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trade = Trade(
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id=2,
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pair='ETH/BTC',
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stake_amount=0.0009999999999226999,
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open_rate=0.01,
amount=5,
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is_open=True,
open_date=datetime.utcnow() - timedelta(hours=0, minutes=10),
fee_open=fee.return_value,
fee_close=fee.return_value,
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interest_rate=0.0005,
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exchange='binance',
interest_mode=InterestMode.HOURSPERDAY
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)
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# assert trade.open_order_id is None
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assert trade.close_profit is None
assert trade.close_date is None
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# trade.open_order_id = 'something'
trade.update(limit_lev_buy_order)
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# assert trade.open_order_id is None
assert trade.open_rate == 0.00001099
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assert trade.close_profit is None
assert trade.close_date is None
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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)
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# assert trade.open_order_id is None
assert trade.close_rate == 0.00001173
assert trade.close_profit == round(0.18645514861995735, 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)
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@pytest.mark.usefixtures("init_persistence")
def test_update_market_order_lev(market_lev_buy_order, market_lev_sell_order, fee, caplog):
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"""
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
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amount: = 275.97543219 crypto
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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
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= 0.0075414886436454 * 0.0005 * 1 = 3.7707443218227e-06 crypto
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open_value: (amount * open_rate) + (amount * open_rate * fee)
= (275.97543219 * 0.00004099) + (275.97543219 * 0.00004099 * 0.0025)
= 0.01134051354788177
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close_value: (amount_closed * close_rate) - (amount_closed * close_rate * fee)
= (275.97543219 * 0.00004173) - (275.97543219 * 0.00004173 * 0.0025)
= 0.011487663648325479
total_profit = close_value - open_value - interest
= 0.011487663648325479 - 0.01134051354788177 - 3.7707443218227e-06
= 0.0001433793561218866
total_profit_percentage = total_profit / stake_amount
= 0.0001433793561218866 / 0.0037707443218227
= 0.03802415223225211
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"""
trade = Trade(
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id=1,
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pair='ETH/BTC',
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stake_amount=0.0037707443218227,
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amount=5,
open_rate=0.00004099,
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is_open=True,
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fee_open=fee.return_value,
fee_close=fee.return_value,
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open_date=datetime.utcnow() - timedelta(hours=0, minutes=10),
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interest_rate=0.0005,
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exchange='kraken',
interest_mode=InterestMode.HOURSPER4
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)
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trade.open_order_id = 'something'
trade.update(market_lev_buy_order)
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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)
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assert trade.open_order_id is None
assert trade.close_rate == 0.00004173
assert trade.close_profit == round(0.03802415223225211, 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)
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@pytest.mark.usefixtures("init_persistence")
def test_calc_close_trade_price_exception_lev(limit_lev_buy_order, fee):
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trade = Trade(
pair='ETH/BTC',
stake_amount=0.001,
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open_rate=0.1,
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amount=5,
fee_open=fee.return_value,
fee_close=fee.return_value,
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exchange='binance',
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interest_rate=0.0005,
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leverage=3.0,
interest_mode=InterestMode.HOURSPERDAY
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)
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trade.open_order_id = 'something'
trade.update(limit_lev_buy_order)
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assert trade.calc_close_trade_value() == 0.0
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@pytest.mark.usefixtures("init_persistence")
def test_calc_profit_lev(market_lev_buy_order, market_lev_sell_order, fee):
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"""
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
time-periods: 10 minutes(rounds up to 1 time-period of 4hrs)
5 hours = 5/4
interest: borrowed * interest_rate * time-periods
= 0.0075414886436454 * 0.0005 * 1 = 3.7707443218227e-06 crypto
= 0.0075414886436454 * 0.00025 * 5/4 = 2.3567152011391876e-06 crypto
= 0.0075414886436454 * 0.0005 * 5/4 = 4.713430402278375e-06 crypto
= 0.0075414886436454 * 0.00025 * 1 = 1.88537216091135e-06 crypto
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open_value: (amount * open_rate) + (amount * open_rate * fee)
= (275.97543219 * 0.00004099) + (275.97543219 * 0.00004099 * 0.0025)
= 0.01134051354788177
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close_value: (amount_closed * close_rate) - (amount_closed * close_rate * fee) - interest
(275.97543219 * 0.00005374) - (275.97543219 * 0.00005374 * 0.0025) - 3.7707443218227e-06
= 0.01479007168225405
(275.97543219 * 0.00000437) - (275.97543219 * 0.00000437 * 0.0025) - 2.3567152011391876e-06
= 0.001200640891872485
(275.97543219 * 0.00005374) - (275.97543219 * 0.00005374 * 0.003) - 4.713430402278375e-06
= 0.014781713536310649
(275.97543219 * 0.00000437) - (275.97543219 * 0.00000437 * 0.003) - 1.88537216091135e-06
= 0.0012005092285933775
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total_profit = close_value - open_value
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= 0.01479007168225405 - 0.01134051354788177 = 0.003449558134372281
= 0.001200640891872485 - 0.01134051354788177 = -0.010139872656009285
= 0.014781713536310649 - 0.01134051354788177 = 0.0034411999884288794
= 0.0012005092285933775 - 0.01134051354788177 = -0.010140004319288392
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total_profit_percentage = total_profit / stake_amount
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0.003449558134372281/0.0037707443218227 = 0.9148215418394732
-0.010139872656009285/0.0037707443218227 = -2.6890904793852157
0.0034411999884288794/0.0037707443218227 = 0.9126049646255184
-0.010140004319288392/0.0037707443218227 = -2.6891253964381554
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"""
trade = Trade(
pair='ETH/BTC',
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stake_amount=0.0037707443218227,
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amount=5,
open_rate=0.00004099,
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open_date=datetime.utcnow() - timedelta(hours=0, minutes=10),
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fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='kraken',
leverage=3.0,
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interest_rate=0.0005,
interest_mode=InterestMode.HOURSPER4
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)
trade.open_order_id = 'something'
trade.update(market_lev_buy_order) # Buy @ 0.00001099
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# Custom closing rate and regular fee rate
# Higher than open rate
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assert trade.calc_profit(rate=0.00005374, interest_rate=0.0005) == round(
0.003449558134372281, 8)
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assert trade.calc_profit_ratio(
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rate=0.00005374, interest_rate=0.0005) == round(0.9148215418394732, 8)
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# Lower than open rate
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trade.open_date = datetime.utcnow() - timedelta(hours=5, minutes=0)
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assert trade.calc_profit(
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rate=0.00000437, interest_rate=0.00025) == round(-0.010139872656009285, 8)
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assert trade.calc_profit_ratio(
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rate=0.00000437, interest_rate=0.00025) == round(-2.6890904793852157, 8)
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# Custom closing rate and custom fee rate
# Higher than open rate
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assert trade.calc_profit(rate=0.00005374, fee=0.003,
interest_rate=0.0005) == round(0.0034411999884288794, 8)
assert trade.calc_profit_ratio(rate=0.00005374, fee=0.003,
interest_rate=0.0005) == round(0.9126049646255184, 8)
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# Lower than open rate
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trade.open_date = datetime.utcnow() - timedelta(hours=0, minutes=10)
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assert trade.calc_profit(rate=0.00000437, fee=0.003,
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interest_rate=0.00025) == round(-0.010140004319288392, 8)
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assert trade.calc_profit_ratio(rate=0.00000437, fee=0.003,
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interest_rate=0.00025) == round(-2.6891253964381554, 8)
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# Test when we apply a Sell order. Sell higher than open rate @ 0.00001173
trade.update(market_lev_sell_order)
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assert trade.calc_profit() == round(0.0001433793561218866, 8)
assert trade.calc_profit_ratio() == round(0.03802415223225211, 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