freqtrade_origin/tests/persistence/test_persistence.py

# pragma pylint: disable=missing-docstring, C0103
from datetime import datetime, timedelta, timezone
from types import FunctionType

import pytest
from sqlalchemy import select

from freqtrade.constants import CUSTOM_TAG_MAX_LENGTH, DATETIME_PRINT_FORMAT
from freqtrade.enums import TradingMode
from freqtrade.exceptions import DependencyException
from freqtrade.persistence import LocalTrade, Order, Trade, init_db
from freqtrade.util import dt_now
from tests.conftest import (
    create_mock_trades,
    create_mock_trades_usdt,
    create_mock_trades_with_leverage,
    log_has,
    log_has_re,
)


spot, margin, futures = TradingMode.SPOT, TradingMode.MARGIN, TradingMode.FUTURES


@pytest.mark.parametrize("is_short", [False, True])
@pytest.mark.usefixtures("init_persistence")
def test_enter_exit_side(fee, is_short):
    entry_side, exit_side = ("sell", "buy") if is_short else ("buy", "sell")
    trade = Trade(
        id=2,
        pair="ADA/USDT",
        stake_amount=0.001,
        open_rate=0.01,
        amount=5,
        is_open=True,
        open_date=dt_now(),
        fee_open=fee.return_value,
        fee_close=fee.return_value,
        exchange="binance",
        is_short=is_short,
        leverage=2.0,
        trading_mode=margin,
    )
    assert trade.entry_side == entry_side
    assert trade.exit_side == exit_side
    assert trade.trade_direction == "short" if is_short else "long"


@pytest.mark.usefixtures("init_persistence")
def test_set_stop_loss_liquidation(fee):
    trade = Trade(
        id=2,
        pair="ADA/USDT",
        stake_amount=60.0,
        open_rate=2.0,
        amount=30.0,
        is_open=True,
        open_date=dt_now(),
        fee_open=fee.return_value,
        fee_close=fee.return_value,
        exchange="binance",
        is_short=False,
        leverage=2.0,
        trading_mode=margin,
    )
    trade.set_liquidation_price(0.09)
    assert trade.liquidation_price == 0.09
    assert trade.stop_loss is None
    assert trade.initial_stop_loss is None

    trade.adjust_stop_loss(2.0, 0.2, True)
    assert trade.liquidation_price == 0.09
    assert trade.stop_loss == 1.8
    assert trade.initial_stop_loss == 1.8

    trade.set_liquidation_price(0.08)
    assert trade.liquidation_price == 0.08
    assert trade.stop_loss == 1.8
    assert trade.initial_stop_loss == 1.8

    trade.set_liquidation_price(0.11)
    trade.adjust_stop_loss(2.0, 0.2)
    assert trade.liquidation_price == 0.11
    # Stoploss does not change from liquidation price
    assert trade.stop_loss == 1.8
    assert trade.stop_loss_pct == -0.2
    assert trade.initial_stop_loss == 1.8

    # lower stop doesn't move stoploss
    trade.adjust_stop_loss(1.8, 0.2)
    assert trade.liquidation_price == 0.11
    assert trade.stop_loss == 1.8
    assert trade.stop_loss_pct == -0.2
    assert trade.initial_stop_loss == 1.8

    # Lower stop with "allow_refresh" does move stoploss
    trade.adjust_stop_loss(1.8, 0.22, allow_refresh=True)
    assert trade.liquidation_price == 0.11
    assert trade.stop_loss == 1.602
    assert trade.stop_loss_pct == -0.22
    assert trade.initial_stop_loss == 1.8

    # higher stop does move stoploss
    trade.adjust_stop_loss(2.1, 0.1)
    assert trade.liquidation_price == 0.11
    assert pytest.approx(trade.stop_loss) == 1.994999
    assert trade.stop_loss_pct == -0.1
    assert trade.initial_stop_loss == 1.8
    assert trade.stoploss_or_liquidation == trade.stop_loss

    trade.stop_loss = None
    trade.liquidation_price = None
    trade.initial_stop_loss = None
    trade.initial_stop_loss_pct = None

    trade.adjust_stop_loss(2.0, 0.1, True)
    assert trade.liquidation_price is None
    assert trade.stop_loss == 1.9
    assert trade.initial_stop_loss == 1.9
    assert trade.stoploss_or_liquidation == 1.9

    trade.is_short = True
    trade.recalc_open_trade_value()
    trade.stop_loss = None
    trade.initial_stop_loss = None
    trade.initial_stop_loss_pct = None

    trade.set_liquidation_price(3.09)
    assert trade.liquidation_price == 3.09
    assert trade.stop_loss is None
    assert trade.initial_stop_loss is None

    trade.adjust_stop_loss(2.0, 0.2)
    assert trade.liquidation_price == 3.09
    assert trade.stop_loss == 2.2
    assert trade.initial_stop_loss == 2.2
    assert trade.stoploss_or_liquidation == 2.2

    trade.set_liquidation_price(3.1)
    assert trade.liquidation_price == 3.1
    assert trade.stop_loss == 2.2
    assert trade.initial_stop_loss == 2.2
    assert trade.stoploss_or_liquidation == 2.2

    trade.set_liquidation_price(3.8)
    assert trade.liquidation_price == 3.8
    # Stoploss does not change from liquidation price
    assert trade.stop_loss == 2.2
    assert trade.stop_loss_pct == -0.2
    assert trade.initial_stop_loss == 2.2

    # Stop doesn't move stop higher
    trade.adjust_stop_loss(2.0, 0.3)
    assert trade.liquidation_price == 3.8
    assert trade.stop_loss == 2.2
    assert trade.stop_loss_pct == -0.2
    assert trade.initial_stop_loss == 2.2

    # Stop does move stop higher with "allow_refresh"
    trade.adjust_stop_loss(2.0, 0.3, allow_refresh=True)
    assert trade.liquidation_price == 3.8
    assert trade.stop_loss == 2.3
    assert trade.stop_loss_pct == -0.3
    assert trade.initial_stop_loss == 2.2

    # Stoploss does move lower
    trade.set_liquidation_price(1.5)
    trade.adjust_stop_loss(1.8, 0.1)
    assert trade.liquidation_price == 1.5
    assert pytest.approx(trade.stop_loss) == 1.89
    assert trade.stop_loss_pct == -0.1
    assert trade.initial_stop_loss == 2.2
    assert trade.stoploss_or_liquidation == 1.5


@pytest.mark.parametrize(
    "exchange,is_short,lev,minutes,rate,interest,trading_mode",
    [
        ("binance", False, 3, 10, 0.0005, round(0.0008333333333333334, 8), margin),
        ("binance", True, 3, 10, 0.0005, 0.000625, margin),
        ("binance", False, 3, 295, 0.0005, round(0.004166666666666667, 8), margin),
        ("binance", True, 3, 295, 0.0005, round(0.0031249999999999997, 8), margin),
        ("binance", False, 3, 295, 0.00025, round(0.0020833333333333333, 8), margin),
        ("binance", True, 3, 295, 0.00025, round(0.0015624999999999999, 8), margin),
        ("binance", False, 5, 295, 0.0005, 0.005, margin),
        ("binance", True, 5, 295, 0.0005, round(0.0031249999999999997, 8), margin),
        ("binance", False, 1, 295, 0.0005, 0.0, spot),
        ("binance", True, 1, 295, 0.0005, 0.003125, margin),
        ("binance", False, 3, 10, 0.0005, 0.0, futures),
        ("binance", True, 3, 295, 0.0005, 0.0, futures),
        ("binance", False, 5, 295, 0.0005, 0.0, futures),
        ("binance", True, 5, 295, 0.0005, 0.0, futures),
        ("binance", False, 1, 295, 0.0005, 0.0, futures),
        ("binance", True, 1, 295, 0.0005, 0.0, futures),
        ("kraken", False, 3, 10, 0.0005, 0.040, margin),
        ("kraken", True, 3, 10, 0.0005, 0.030, margin),
        ("kraken", False, 3, 295, 0.0005, 0.06, margin),
        ("kraken", True, 3, 295, 0.0005, 0.045, margin),
        ("kraken", False, 3, 295, 0.00025, 0.03, margin),
        ("kraken", True, 3, 295, 0.00025, 0.0225, margin),
        ("kraken", False, 5, 295, 0.0005, round(0.07200000000000001, 8), margin),
        ("kraken", True, 5, 295, 0.0005, 0.045, margin),
        ("kraken", False, 1, 295, 0.0005, 0.0, spot),
        ("kraken", True, 1, 295, 0.0005, 0.045, margin),
    ],
)
@pytest.mark.usefixtures("init_persistence")
def test_interest(fee, exchange, is_short, lev, minutes, rate, interest, trading_mode):
    """
    10min, 5hr limit trade on Binance/Kraken at 3x,5x leverage
    fee: 0.25 % quote
    interest_rate: 0.05 % per 4 hrs
    open_rate: 2.00 quote
    close_rate: 2.20 quote
    amount: = 30.0 crypto
    stake_amount
        3x, -3x: 20.0  quote
        5x, -5x: 12.0  quote
    borrowed
      10min
         3x: 40 quote
        -3x: 30 crypto
         5x: 48 quote
        -5x: 30 crypto
         1x: 0
        -1x: 30 crypto
    hours: 1/6 (10 minutes)
    time-periods:
        10min
            kraken: (1 + 1) 4hr_periods = 2 4hr_periods
            binance: 1/24 24hr_periods
        4.95hr
            kraken: ceil(1 + 4.95/4) 4hr_periods = 3 4hr_periods
            binance: ceil(4.95)/24 24hr_periods = 5/24 24hr_periods
    interest: borrowed * interest_rate * time-periods
      10min
        binance     3x: 40 * 0.0005 * 1/24 = 0.0008333333333333334 quote
        kraken      3x: 40 * 0.0005 * 2    = 0.040 quote
        binace     -3x: 30 * 0.0005 * 1/24 = 0.000625 crypto
        kraken     -3x: 30 * 0.0005 * 2    = 0.030 crypto
      5hr
        binance     3x: 40 * 0.0005 * 5/24 = 0.004166666666666667 quote
        kraken      3x: 40 * 0.0005 * 3    = 0.06 quote
        binace     -3x: 30 * 0.0005 * 5/24 = 0.0031249999999999997 crypto
        kraken     -3x: 30 * 0.0005 * 3    = 0.045 crypto
      0.00025 interest
        binance     3x: 40 * 0.00025 * 5/24 = 0.0020833333333333333 quote
        kraken      3x: 40 * 0.00025 * 3    = 0.03 quote
        binace     -3x: 30 * 0.00025 * 5/24 = 0.0015624999999999999 crypto
        kraken     -3x: 30 * 0.00025 * 3    = 0.0225 crypto
      5x leverage, 0.0005 interest, 5hr
        binance     5x: 48 * 0.0005 * 5/24 = 0.005 quote
        kraken      5x: 48 * 0.0005 * 3    = 0.07200000000000001 quote
        binace     -5x: 30 * 0.0005 * 5/24 = 0.0031249999999999997 crypto
        kraken     -5x: 30 * 0.0005 * 3    = 0.045 crypto
      1x leverage, 0.0005 interest, 5hr
        binance,kraken 1x: 0.0 quote
        binace        -1x: 30 * 0.0005 * 5/24 = 0.003125 crypto
        kraken        -1x: 30 * 0.0005 * 3    = 0.045 crypto
    """

    trade = Trade(
        pair="ADA/USDT",
        stake_amount=20.0,
        amount=30.0,
        open_rate=2.0,
        open_date=datetime.now(timezone.utc) - timedelta(minutes=minutes),
        fee_open=fee.return_value,
        fee_close=fee.return_value,
        exchange=exchange,
        leverage=lev,
        interest_rate=rate,
        is_short=is_short,
        trading_mode=trading_mode,
    )

    assert round(float(trade.calculate_interest()), 8) == interest


@pytest.mark.parametrize(
    "is_short,lev,borrowed,trading_mode",
    [
        (False, 1.0, 0.0, spot),
        (True, 1.0, 30.0, margin),
        (False, 3.0, 40.0, margin),
        (True, 3.0, 30.0, margin),
    ],
)
@pytest.mark.usefixtures("init_persistence")
def test_borrowed(fee, is_short, lev, borrowed, trading_mode):
    """
    10 minute limit trade on Binance/Kraken at 1x, 3x leverage
    fee: 0.25% quote
    interest_rate: 0.05% per 4 hrs
    open_rate: 2.00 quote
    close_rate: 2.20 quote
    amount: = 30.0 crypto
    stake_amount
        1x,-1x: 60.0  quote
        3x,-3x: 20.0  quote
    borrowed
         1x:  0 quote
         3x: 40 quote
        -1x: 30 crypto
        -3x: 30 crypto
    hours: 1/6 (10 minutes)
    time-periods:
        kraken: (1 + 1) 4hr_periods = 2 4hr_periods
        binance: 1/24 24hr_periods
    interest: borrowed * interest_rate * time-periods
        1x            :  /
        binance     3x: 40 * 0.0005 * 1/24 = 0.0008333333333333334 quote
        kraken      3x: 40 * 0.0005 * 2 = 0.040 quote
        binace -1x,-3x: 30 * 0.0005 * 1/24 = 0.000625 crypto
        kraken -1x,-3x: 30 * 0.0005 * 2 = 0.030 crypto
    open_value: (amount * open_rate) ± (amount * open_rate * fee)
         1x, 3x: 30 * 2 + 30 * 2 * 0.0025 = 60.15 quote
        -1x,-3x: 30 * 2 - 30 * 2 * 0.0025 = 59.850 quote
    amount_closed:
        1x, 3x         : amount
        -1x, -3x       : amount + interest
        binance -1x,-3x: 30 + 0.000625 = 30.000625 crypto
        kraken  -1x,-3x: 30 + 0.03 = 30.03 crypto
    close_value:
         1x, 3x: (amount_closed * close_rate) - (amount_closed * close_rate * fee) - interest
        -1x,-3x: (amount_closed * close_rate) + (amount_closed * close_rate * fee)
        binance,kraken 1x: (30.00 * 2.20) - (30.00 * 2.20 * 0.0025)         = 65.835
        binance        3x: (30.00 * 2.20) - (30.00 * 2.20 * 0.0025) - 0.00083333 = 65.83416667
        kraken         3x: (30.00 * 2.20) - (30.00 * 2.20 * 0.0025) - 0.040 = 65.795
        binance   -1x,-3x: (30.000625 * 2.20) + (30.000625 * 2.20 * 0.0025) = 66.16637843750001
        kraken    -1x,-3x: (30.03 * 2.20) + (30.03 * 2.20 * 0.0025)         = 66.231165
    total_profit:
        1x, 3x : close_value - open_value
        -1x,-3x: open_value  - close_value
        binance,kraken 1x: 65.835 - 60.15             = 5.685
        binance        3x: 65.83416667 - 60.15        = 5.684166670000003
        kraken         3x: 65.795 - 60.15             = 5.645
        binance   -1x,-3x: 59.850 - 66.16637843750001 = -6.316378437500013
        kraken    -1x,-3x: 59.850 - 66.231165          = -6.381165
    total_profit_ratio:
        1x, 3x : ((close_value/open_value) - 1) * leverage
        -1x,-3x: (1 - (close_value/open_value)) * leverage
        binance  1x: ((65.835 / 60.15) - 1)  * 1 = 0.0945137157107232
        binance  3x: ((65.83416667 / 60.15) - 1)  * 3 = 0.2834995845386534
        kraken   1x: ((65.835 / 60.15) - 1)  * 1 = 0.0945137157107232
        kraken   3x: ((65.795 / 60.15) - 1)  * 3 = 0.2815461346633419
        binance -1x: (1-(66.1663784375 / 59.85)) * 1 = -0.1055368159983292
        binance -3x: (1-(66.1663784375 / 59.85)) * 3 = -0.3166104479949876
        kraken  -1x: (1-(66.2311650 / 59.85)) * 1    = -0.106619298245614
        kraken  -3x: (1-(66.2311650 / 59.85)) * 3    = -0.319857894736842
    """

    trade = Trade(
        id=2,
        pair="ADA/USDT",
        stake_amount=60.0,
        open_rate=2.0,
        amount=30.0,
        is_open=True,
        open_date=dt_now(),
        fee_open=fee.return_value,
        fee_close=fee.return_value,
        exchange="binance",
        is_short=is_short,
        leverage=lev,
        trading_mode=trading_mode,
    )
    assert trade.borrowed == borrowed


@pytest.mark.parametrize(
    "is_short,open_rate,close_rate,lev,profit,trading_mode",
    [
        (False, 2.0, 2.2, 1.0, 0.09451372, spot),
        (True, 2.2, 2.0, 3.0, 0.25894253, margin),
    ],
)
@pytest.mark.usefixtures("init_persistence")
def test_update_limit_order(
    fee,
    caplog,
    limit_buy_order_usdt,
    limit_sell_order_usdt,
    time_machine,
    is_short,
    open_rate,
    close_rate,
    lev,
    profit,
    trading_mode,
):
    """
    10 minute limit trade on Binance/Kraken at 1x, 3x leverage
    fee: 0.25% quote
    interest_rate: 0.05% per 4 hrs
    open_rate: 2.00 quote
    close_rate: 2.20 quote
    amount: = 30.0 crypto
    stake_amount
        1x,-1x: 60.0  quote
        3x,-3x: 20.0  quote
    borrowed
         1x:  0 quote
         3x: 40 quote
        -1x: 30 crypto
        -3x: 30 crypto
    hours: 1/6 (10 minutes)
    time-periods:
        kraken: (1 + 1) 4hr_periods = 2 4hr_periods
        binance: 1/24 24hr_periods
    interest: borrowed * interest_rate * time-periods
        1x            :  /
        binance     3x: 40 * 0.0005 * 1/24 = 0.0008333333333333334 quote
        kraken      3x: 40 * 0.0005 * 2 = 0.040 quote
        binace -1x,-3x: 30 * 0.0005 * 1/24 = 0.000625 crypto
        kraken -1x,-3x: 30 * 0.0005 * 2 = 0.030 crypto
    open_value: (amount * open_rate) ± (amount * open_rate * fee)
         1x, 3x: 30 * 2 + 30 * 2 * 0.0025 = 60.15 quote
        -1x,-3x: 30 * 2 - 30 * 2 * 0.0025 = 59.850 quote
    amount_closed:
        1x, 3x         : amount
        -1x, -3x       : amount + interest
        binance -1x,-3x: 30 + 0.000625 = 30.000625 crypto
        kraken  -1x,-3x: 30 + 0.03 = 30.03 crypto
    close_value:
         1x, 3x: (amount_closed * close_rate) - (amount_closed * close_rate * fee) - interest
        -1x,-3x: (amount_closed * close_rate) + (amount_closed * close_rate * fee)
        binance,kraken 1x: (30.00 * 2.20) - (30.00 * 2.20 * 0.0025)         = 65.835
        binance        3x: (30.00 * 2.20) - (30.00 * 2.20 * 0.0025) - 0.00083333 = 65.83416667
        kraken         3x: (30.00 * 2.20) - (30.00 * 2.20 * 0.0025) - 0.040 = 65.795
        binance   -1x,-3x: (30.000625 * 2.20) + (30.000625 * 2.20 * 0.0025) = 66.16637843750001
        kraken    -1x,-3x: (30.03 * 2.20) + (30.03 * 2.20 * 0.0025)         = 66.231165
    total_profit:
        1x, 3x : close_value - open_value
        -1x,-3x: open_value  - close_value
        binance,kraken 1x: 65.835 - 60.15             = 5.685
        binance        3x: 65.83416667 - 60.15        = 5.684166670000003
        kraken         3x: 65.795 - 60.15             = 5.645
        binance   -1x,-3x: 59.850 - 66.16637843750001 = -6.316378437500013
        kraken    -1x,-3x: 59.850 - 66.231165          = -6.381165
    total_profit_ratio:
        1x, 3x : ((close_value/open_value) - 1) * leverage
        -1x,-3x: (1 - (close_value/open_value)) * leverage
        binance  1x: ((65.835 / 60.15) - 1)  * 1 = 0.0945137157107232
        binance  3x: ((65.83416667 / 60.15) - 1)  * 3 = 0.2834995845386534
        kraken   1x: ((65.835 / 60.15) - 1)  * 1 = 0.0945137157107232
        kraken   3x: ((65.795 / 60.15) - 1)  * 3 = 0.2815461346633419
        binance -1x: (1-(66.1663784375 / 59.85)) * 1 = -0.1055368159983292
        binance -3x: (1-(66.1663784375 / 59.85)) * 3 = -0.3166104479949876
        kraken  -1x: (1-(66.2311650 / 59.85)) * 1    = -0.106619298245614
        kraken  -3x: (1-(66.2311650 / 59.85)) * 3    = -0.319857894736842
    open_rate: 2.2, close_rate: 2.0, -3x, binance, short
        open_value: 30 * 2.2 - 30 * 2.2 * 0.0025 = 65.835 quote
        amount_closed: 30 + 0.000625 = 30.000625 crypto
        close_value: (30.000625 * 2.0) + (30.000625 * 2.0 * 0.0025) = 60.151253125
        total_profit: 65.835 - 60.151253125 = 5.683746874999997
        total_profit_ratio: (1-(60.151253125/65.835)) * 3 = 0.2589996297562085

    """
    time_machine.move_to("2022-03-31 20:45:00 +00:00")

    enter_order = limit_sell_order_usdt if is_short else limit_buy_order_usdt
    exit_order = limit_buy_order_usdt if is_short else limit_sell_order_usdt
    entry_side, exit_side = ("sell", "buy") if is_short else ("buy", "sell")

    trade = Trade(
        id=2,
        pair="ADA/USDT",
        stake_amount=60.0,
        open_rate=open_rate,
        amount=30.0,
        is_open=True,
        open_date=dt_now(),
        fee_open=fee.return_value,
        fee_close=fee.return_value,
        exchange="binance",
        is_short=is_short,
        interest_rate=0.0005,
        leverage=lev,
        trading_mode=trading_mode,
    )
    assert not trade.has_open_orders
    assert trade.close_profit is None
    assert trade.close_date is None

    oobj = Order.parse_from_ccxt_object(enter_order, "ADA/USDT", entry_side)
    trade.orders.append(oobj)
    trade.update_trade(oobj)
    assert not trade.has_open_orders
    assert trade.open_rate == open_rate
    assert trade.close_profit is None
    assert trade.close_date is None
    assert log_has_re(
        f"LIMIT_{entry_side.upper()} has been fulfilled for "
        r"Trade\(id=2, pair=ADA/USDT, amount=30.00000000, "
        f"is_short={is_short}, leverage={lev}, open_rate={open_rate}0000000, "
        r"open_since=.*\).",
        caplog,
    )

    caplog.clear()
    time_machine.move_to("2022-03-31 21:45:05 +00:00")
    oobj = Order.parse_from_ccxt_object(exit_order, "ADA/USDT", exit_side)
    trade.orders.append(oobj)
    trade.update_trade(oobj)

    assert not trade.has_open_orders
    assert trade.close_rate == close_rate
    assert pytest.approx(trade.close_profit) == profit
    assert trade.close_date is not None
    assert log_has_re(
        f"LIMIT_{exit_side.upper()} has been fulfilled for "
        r"Trade\(id=2, pair=ADA/USDT, amount=30.00000000, "
        f"is_short={is_short}, leverage={lev}, open_rate={open_rate}0000000, "
        r"open_since=.*\).",
        caplog,
    )
    caplog.clear()


@pytest.mark.usefixtures("init_persistence")
def test_update_market_order(market_buy_order_usdt, market_sell_order_usdt, fee, caplog):
    trade = Trade(
        id=1,
        pair="ADA/USDT",
        stake_amount=60.0,
        open_rate=2.0,
        amount=30.0,
        is_open=True,
        fee_open=fee.return_value,
        fee_close=fee.return_value,
        open_date=dt_now(),
        exchange="binance",
        trading_mode=margin,
        leverage=1.0,
    )

    oobj = Order.parse_from_ccxt_object(market_buy_order_usdt, "ADA/USDT", "buy")
    trade.orders.append(oobj)
    trade.update_trade(oobj)
    assert not trade.has_open_orders
    assert trade.open_rate == 2.0
    assert trade.close_profit is None
    assert trade.close_date is None
    assert log_has_re(
        r"MARKET_BUY has been fulfilled for Trade\(id=1, "
        r"pair=ADA/USDT, amount=30.00000000, is_short=False, leverage=1.0, "
        r"open_rate=2.00000000, open_since=.*\).",
        caplog,
    )

    caplog.clear()
    trade.is_open = True
    oobj = Order.parse_from_ccxt_object(market_sell_order_usdt, "ADA/USDT", "sell")
    trade.orders.append(oobj)
    trade.update_trade(oobj)
    assert not trade.has_open_orders
    assert trade.close_rate == 2.2
    assert pytest.approx(trade.close_profit) == 0.094513715710723
    assert trade.close_date is not None
    assert log_has_re(
        r"MARKET_SELL has been fulfilled for Trade\(id=1, "
        r"pair=ADA/USDT, amount=30.00000000, is_short=False, leverage=1.0, "
        r"open_rate=2.00000000, open_since=.*\).",
        caplog,
    )


@pytest.mark.parametrize(
    "exchange,is_short,lev,open_value,close_value,profit,profit_ratio,trading_mode,funding_fees",
    [
        ("binance", False, 1, 60.15, 65.835, 5.685, 0.09451371, spot, 0.0),
        ("binance", True, 1, 65.835, 60.151253125, 5.68374687, 0.08633321, margin, 0.0),
        ("binance", False, 3, 60.15, 65.83416667, 5.68416667, 0.28349958, margin, 0.0),
        ("binance", True, 3, 65.835, 60.151253125, 5.68374687, 0.25899963, margin, 0.0),
        ("kraken", False, 1, 60.15, 65.835, 5.685, 0.09451371, spot, 0.0),
        ("kraken", True, 1, 65.835, 60.21015, 5.62485, 0.0854386, margin, 0.0),
        ("kraken", False, 3, 60.15, 65.795, 5.645, 0.28154613, margin, 0.0),
        ("kraken", True, 3, 65.835, 60.21015, 5.62485, 0.25631579, margin, 0.0),
        ("binance", False, 1, 60.15, 65.835, 5.685, 0.09451371, futures, 0.0),
        ("binance", False, 1, 60.15, 66.835, 6.685, 0.11113881, futures, 1.0),
        ("binance", True, 1, 65.835, 60.15, 5.685, 0.08635224, futures, 0.0),
        ("binance", True, 1, 65.835, 61.15, 4.685, 0.07116276, futures, -1.0),
        ("binance", True, 3, 65.835, 59.15, 6.685, 0.3046252, futures, 1.0),
        ("binance", False, 3, 60.15, 64.835, 4.685, 0.23366583, futures, -1.0),
    ],
)
@pytest.mark.usefixtures("init_persistence")
def test_calc_open_close_trade_price(
    limit_order,
    fee,
    exchange,
    is_short,
    lev,
    open_value,
    close_value,
    profit,
    profit_ratio,
    trading_mode,
    funding_fees,
):
    trade: Trade = Trade(
        pair="ADA/USDT",
        stake_amount=60.0,
        open_rate=2.0,
        amount=30.0,
        open_date=datetime.now(tz=timezone.utc) - timedelta(minutes=10),
        interest_rate=0.0005,
        fee_open=fee.return_value,
        fee_close=fee.return_value,
        exchange=exchange,
        is_short=is_short,
        leverage=lev,
        trading_mode=trading_mode,
    )
    entry_order = limit_order[trade.entry_side]
    exit_order = limit_order[trade.exit_side]

    oobj = Order.parse_from_ccxt_object(entry_order, "ADA/USDT", trade.entry_side)
    oobj._trade_live = trade
    oobj.update_from_ccxt_object(entry_order)
    trade.update_trade(oobj)

    trade.funding_fee_running = funding_fees

    oobj = Order.parse_from_ccxt_object(exit_order, "ADA/USDT", trade.exit_side)
    oobj._trade_live = trade
    oobj.update_from_ccxt_object(exit_order)
    trade.update_trade(oobj)

    assert trade.is_open is False
    # Funding fees transfer from funding_fee_running to funding_Fees
    assert trade.funding_fees == funding_fees
    assert trade.orders[-1].funding_fee == funding_fees

    assert pytest.approx(trade._calc_open_trade_value(trade.amount, trade.open_rate)) == open_value
    assert pytest.approx(trade.calc_close_trade_value(trade.close_rate)) == close_value
    assert pytest.approx(trade.close_profit_abs) == profit
    assert pytest.approx(trade.close_profit) == profit_ratio


@pytest.mark.usefixtures("init_persistence")
def test_trade_close(fee, time_machine):
    time_machine.move_to("2022-09-01 05:00:00 +00:00", tick=False)

    trade = Trade(
        pair="ADA/USDT",
        stake_amount=60.0,
        open_rate=2.0,
        amount=30.0,
        is_open=True,
        fee_open=fee.return_value,
        fee_close=fee.return_value,
        open_date=dt_now() - timedelta(minutes=10),
        interest_rate=0.0005,
        exchange="binance",
        trading_mode=margin,
        leverage=1.0,
    )
    trade.orders.append(
        Order(
            ft_order_side=trade.entry_side,
            order_id=f"{trade.pair}-{trade.entry_side}-{trade.open_date}",
            ft_is_open=False,
            ft_pair=trade.pair,
            amount=trade.amount,
            filled=trade.amount,
            remaining=0,
            price=trade.open_rate,
            average=trade.open_rate,
            status="closed",
            order_type="limit",
            side=trade.entry_side,
            order_filled_date=trade.open_date,
        )
    )
    trade.orders.append(
        Order(
            ft_order_side=trade.exit_side,
            order_id=f"{trade.pair}-{trade.exit_side}-{trade.open_date}",
            ft_is_open=False,
            ft_pair=trade.pair,
            amount=trade.amount,
            filled=trade.amount,
            remaining=0,
            price=2.2,
            average=2.2,
            status="closed",
            order_type="limit",
            side=trade.exit_side,
            order_filled_date=dt_now(),
        )
    )
    assert trade.close_profit is None
    assert trade.close_date is None
    assert trade.is_open is True
    trade.close(2.2)
    assert trade.is_open is False
    assert pytest.approx(trade.close_profit) == 0.094513715
    assert trade.close_date is not None
    assert trade.close_date_utc == dt_now()

    new_date = dt_now() + timedelta(minutes=5)
    assert trade.close_date_utc != 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(2.2)
    assert trade.close_date_utc == new_date


@pytest.mark.usefixtures("init_persistence")
def test_calc_close_trade_price_exception(limit_buy_order_usdt, fee):
    trade = Trade(
        pair="ADA/USDT",
        stake_amount=60.0,
        open_rate=2.0,
        amount=30.0,
        fee_open=fee.return_value,
        fee_close=fee.return_value,
        exchange="binance",
        trading_mode=margin,
        leverage=1.0,
    )

    oobj = Order.parse_from_ccxt_object(limit_buy_order_usdt, "ADA/USDT", "buy")
    trade.update_trade(oobj)
    assert trade.calc_close_trade_value(trade.close_rate) == 0.0


@pytest.mark.usefixtures("init_persistence")
def test_update_open_order(limit_buy_order_usdt):
    trade = Trade(
        pair="ADA/USDT",
        stake_amount=60.0,
        open_rate=2.0,
        amount=30.0,
        fee_open=0.1,
        fee_close=0.1,
        exchange="binance",
        trading_mode=margin,
    )

    assert not trade.has_open_orders
    assert trade.close_profit is None
    assert trade.close_date is None

    limit_buy_order_usdt["status"] = "open"
    oobj = Order.parse_from_ccxt_object(limit_buy_order_usdt, "ADA/USDT", "buy")
    trade.update_trade(oobj)

    assert not trade.has_open_orders
    assert trade.close_profit is None
    assert trade.close_date is None


@pytest.mark.usefixtures("init_persistence")
def test_update_invalid_order(limit_buy_order_usdt):
    trade = Trade(
        pair="ADA/USDT",
        stake_amount=60.0,
        amount=30.0,
        open_rate=2.0,
        fee_open=0.1,
        fee_close=0.1,
        exchange="binance",
        trading_mode=margin,
    )
    limit_buy_order_usdt["type"] = "invalid"
    oobj = Order.parse_from_ccxt_object(limit_buy_order_usdt, "ADA/USDT", "meep")
    with pytest.raises(ValueError, match=r"Unknown order type"):
        trade.update_trade(oobj)


@pytest.mark.parametrize("exchange", ["binance", "kraken"])
@pytest.mark.parametrize("trading_mode", [spot, margin, futures])
@pytest.mark.parametrize("lev", [1, 3])
@pytest.mark.parametrize(
    "is_short,fee_rate,result",
    [
        (False, 0.003, 60.18),
        (False, 0.0025, 60.15),
        (False, 0.003, 60.18),
        (False, 0.0025, 60.15),
        (True, 0.003, 59.82),
        (True, 0.0025, 59.85),
        (True, 0.003, 59.82),
        (True, 0.0025, 59.85),
    ],
)
@pytest.mark.usefixtures("init_persistence")
def test_calc_open_trade_value(
    limit_buy_order_usdt, exchange, lev, is_short, fee_rate, result, trading_mode
):
    # 10 minute limit trade on Binance/Kraken at 1x, 3x leverage
    # fee: 0.25 %, 0.3% quote
    # open_rate: 2.00 quote
    # amount: = 30.0 crypto
    # stake_amount
    #     1x, -1x: 60.0  quote
    #     3x, -3x: 20.0  quote
    # open_value: (amount * open_rate) ± (amount * open_rate * fee)
    # 0.25% fee
    #      1x, 3x: 30 * 2 + 30 * 2 * 0.0025 = 60.15 quote
    #     -1x,-3x: 30 * 2 - 30 * 2 * 0.0025 = 59.85 quote
    # 0.3% fee
    #      1x, 3x: 30 * 2 + 30 * 2 * 0.003  = 60.18 quote
    #     -1x,-3x: 30 * 2 - 30 * 2 * 0.003  = 59.82 quote
    trade = Trade(
        pair="ADA/USDT",
        stake_amount=60.0,
        amount=30.0,
        open_rate=2.0,
        open_date=datetime.now(tz=timezone.utc) - timedelta(minutes=10),
        fee_open=fee_rate,
        fee_close=fee_rate,
        exchange=exchange,
        leverage=lev,
        is_short=is_short,
        trading_mode=trading_mode,
    )
    oobj = Order.parse_from_ccxt_object(
        limit_buy_order_usdt, "ADA/USDT", "sell" if is_short else "buy"
    )
    trade.update_trade(oobj)  # Buy @ 2.0

    # Get the open rate price with the standard fee rate
    assert trade._calc_open_trade_value(trade.amount, trade.open_rate) == result


@pytest.mark.parametrize(
    "exchange,is_short,lev,open_rate,close_rate,fee_rate,result,trading_mode,funding_fees",
    [
        ("binance", False, 1, 2.0, 2.5, 0.0025, 74.8125, spot, 0),
        ("binance", False, 1, 2.0, 2.5, 0.003, 74.775, spot, 0),
        ("binance", False, 1, 2.0, 2.2, 0.005, 65.67, margin, 0),
        ("binance", False, 3, 2.0, 2.5, 0.0025, 74.81166667, margin, 0),
        ("binance", False, 3, 2.0, 2.5, 0.003, 74.77416667, margin, 0),
        ("binance", True, 3, 2.2, 2.5, 0.0025, 75.18906641, margin, 0),
        ("binance", True, 3, 2.2, 2.5, 0.003, 75.22656719, margin, 0),
        ("binance", True, 1, 2.2, 2.5, 0.0025, 75.18906641, margin, 0),
        ("binance", True, 1, 2.2, 2.5, 0.003, 75.22656719, margin, 0),
        # Kraken
        ("kraken", False, 3, 2.0, 2.5, 0.0025, 74.7725, margin, 0),
        ("kraken", False, 3, 2.0, 2.5, 0.003, 74.735, margin, 0),
        ("kraken", True, 3, 2.2, 2.5, 0.0025, 75.2626875, margin, 0),
        ("kraken", True, 3, 2.2, 2.5, 0.003, 75.300225, margin, 0),
        ("kraken", True, 1, 2.2, 2.5, 0.0025, 75.2626875, margin, 0),
        ("kraken", True, 1, 2.2, 2.5, 0.003, 75.300225, margin, 0),
        ("binance", False, 1, 2.0, 2.5, 0.0025, 75.8125, futures, 1),
        ("binance", False, 3, 2.0, 2.5, 0.0025, 73.8125, futures, -1),
        ("binance", True, 3, 2.0, 2.5, 0.0025, 74.1875, futures, 1),
        ("binance", True, 1, 2.0, 2.5, 0.0025, 76.1875, futures, -1),
    ],
)
@pytest.mark.usefixtures("init_persistence")
def test_calc_close_trade_price(
    open_rate, exchange, is_short, lev, close_rate, fee_rate, result, trading_mode, funding_fees
):
    trade = Trade(
        pair="ADA/USDT",
        stake_amount=60.0,
        amount=30.0,
        open_rate=open_rate,
        open_date=datetime.now(tz=timezone.utc) - timedelta(minutes=10),
        fee_open=fee_rate,
        fee_close=fee_rate,
        exchange=exchange,
        interest_rate=0.0005,
        is_short=is_short,
        leverage=lev,
        trading_mode=trading_mode,
        funding_fees=funding_fees,
    )
    assert round(trade.calc_close_trade_value(rate=close_rate), 8) == result


@pytest.mark.parametrize(
    "exchange,is_short,lev,close_rate,fee_close,profit,profit_ratio,trading_mode,funding_fees",
    [
        ("binance", False, 1, 2.1, 0.0025, 2.6925, 0.044763092, spot, 0),
        ("binance", False, 3, 2.1, 0.0025, 2.69166667, 0.134247714, margin, 0),
        ("binance", True, 1, 2.1, 0.0025, -3.3088157, -0.055285142, margin, 0),
        ("binance", True, 3, 2.1, 0.0025, -3.3088157, -0.16585542, margin, 0),
        ("binance", False, 1, 1.9, 0.0025, -3.2925, -0.054738154, margin, 0),
        ("binance", False, 3, 1.9, 0.0025, -3.29333333, -0.164256026, margin, 0),
        ("binance", True, 1, 1.9, 0.0025, 2.70630953, 0.0452182043, margin, 0),
        ("binance", True, 3, 1.9, 0.0025, 2.70630953, 0.135654613, margin, 0),
        ("binance", False, 1, 2.2, 0.0025, 5.685, 0.09451371, margin, 0),
        ("binance", False, 3, 2.2, 0.0025, 5.68416667, 0.28349958, margin, 0),
        ("binance", True, 1, 2.2, 0.0025, -6.3163784, -0.10553681, margin, 0),
        ("binance", True, 3, 2.2, 0.0025, -6.3163784, -0.31661044, margin, 0),
        # Kraken
        ("kraken", False, 1, 2.1, 0.0025, 2.6925, 0.044763092, spot, 0),
        ("kraken", False, 3, 2.1, 0.0025, 2.6525, 0.132294264, margin, 0),
        ("kraken", True, 1, 2.1, 0.0025, -3.3706575, -0.056318421, margin, 0),
        ("kraken", True, 3, 2.1, 0.0025, -3.3706575, -0.168955263, margin, 0),
        ("kraken", False, 1, 1.9, 0.0025, -3.2925, -0.054738154, margin, 0),
        ("kraken", False, 3, 1.9, 0.0025, -3.3325, -0.166209476, margin, 0),
        ("kraken", True, 1, 1.9, 0.0025, 2.6503575, 0.044283333, margin, 0),
        ("kraken", True, 3, 1.9, 0.0025, 2.6503575, 0.132850000, margin, 0),
        ("kraken", False, 1, 2.2, 0.0025, 5.685, 0.09451371, margin, 0),
        ("kraken", False, 3, 2.2, 0.0025, 5.645, 0.28154613, margin, 0),
        ("kraken", True, 1, 2.2, 0.0025, -6.381165, -0.1066192, margin, 0),
        ("kraken", True, 3, 2.2, 0.0025, -6.381165, -0.3198578, margin, 0),
        ("binance", False, 1, 2.1, 0.003, 2.66100000, 0.044239401, spot, 0),
        ("binance", False, 1, 1.9, 0.003, -3.3209999, -0.055211970, spot, 0),
        ("binance", False, 1, 2.2, 0.003, 5.6520000, 0.093965087, spot, 0),
        # FUTURES, funding_fee=1
        ("binance", False, 1, 2.1, 0.0025, 3.6925, 0.06138819, futures, 1),
        ("binance", False, 3, 2.1, 0.0025, 3.6925, 0.18416458, futures, 1),
        ("binance", True, 1, 2.1, 0.0025, -2.3074999, -0.03855472, futures, 1),
        ("binance", True, 3, 2.1, 0.0025, -2.3074999, -0.11566416, futures, 1),
        ("binance", False, 1, 1.9, 0.0025, -2.2925, -0.03811305, futures, 1),
        ("binance", False, 3, 1.9, 0.0025, -2.2925, -0.11433915, futures, 1),
        ("binance", True, 1, 1.9, 0.0025, 3.7075, 0.06194653, futures, 1),
        ("binance", True, 3, 1.9, 0.0025, 3.7075, 0.18583959, futures, 1),
        ("binance", False, 1, 2.2, 0.0025, 6.685, 0.11113881, futures, 1),
        ("binance", False, 3, 2.2, 0.0025, 6.685, 0.33341645, futures, 1),
        ("binance", True, 1, 2.2, 0.0025, -5.315, -0.08880534, futures, 1),
        ("binance", True, 3, 2.2, 0.0025, -5.315, -0.26641604, futures, 1),
        # FUTURES, funding_fee=-1
        ("binance", False, 1, 2.1, 0.0025, 1.6925, 0.02813798, futures, -1),
        ("binance", False, 3, 2.1, 0.0025, 1.6925, 0.08441396, futures, -1),
        ("binance", True, 1, 2.1, 0.0025, -4.307499, -0.07197159, futures, -1),
        ("binance", True, 3, 2.1, 0.0025, -4.307499, -0.21591478, futures, -1),
        ("binance", False, 1, 1.9, 0.0025, -4.292499, -0.07136325, futures, -1),
        ("binance", False, 3, 1.9, 0.0025, -4.292499, -0.21408977, futures, -1),
        ("binance", True, 1, 1.9, 0.0025, 1.7075, 0.02852965, futures, -1),
        ("binance", True, 3, 1.9, 0.0025, 1.7075, 0.08558897, futures, -1),
        ("binance", False, 1, 2.2, 0.0025, 4.684999, 0.07788861, futures, -1),
        ("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(
    exchange, is_short, lev, close_rate, fee_close, profit, profit_ratio, trading_mode, funding_fees
):
    """
    10 minute limit trade on Binance/Kraken at 1x, 3x leverage
    arguments:
        fee:
            0.25% quote
            0.30% quote
        interest_rate: 0.05% per 4 hrs
        open_rate: 2.0 quote
        close_rate:
            1.9 quote
            2.1 quote
            2.2 quote
        amount: = 30.0 crypto
        stake_amount
            1x,-1x: 60.0  quote
            3x,-3x: 20.0  quote
        hours: 1/6 (10 minutes)
        funding_fees: 1
    borrowed
         1x:  0 quote
         3x: 40 quote
        -1x: 30 crypto
        -3x: 30 crypto
    time-periods:
        kraken: (1 + 1) 4hr_periods = 2 4hr_periods
        binance: 1/24 24hr_periods
    interest: borrowed * interest_rate * time-periods
        1x            :  /
        binance     3x: 40 * 0.0005 * 1/24 = 0.0008333333333333334 quote
        kraken      3x: 40 * 0.0005 * 2    = 0.040 quote
        binace -1x,-3x: 30 * 0.0005 * 1/24 = 0.000625 crypto
        kraken -1x,-3x: 30 * 0.0005 * 2    = 0.030 crypto
    open_value: (amount * open_rate) ± (amount * open_rate * fee)
      0.0025 fee
         1x, 3x: 30 * 2 + 30 * 2 * 0.0025 = 60.15 quote
        -1x,-3x: 30 * 2 - 30 * 2 * 0.0025 = 59.85 quote
      0.003 fee: Is only applied to close rate in this test
    amount_closed:
        1x, 3x                         = amount
        -1x, -3x                       = amount + interest
        binance -1x,-3x: 30 + 0.000625 = 30.000625 crypto
        kraken  -1x,-3x: 30 + 0.03     = 30.03 crypto
    close_value:
        equations:
            1x, 3x: (amount_closed * close_rate) - (amount_closed * close_rate * fee) - interest
            -1x,-3x: (amount_closed * close_rate) + (amount_closed * close_rate * fee)
        2.1 quote
            bin,krak  1x: (30.00 * 2.1) - (30.00 * 2.1 * 0.0025)                = 62.8425
            bin       3x: (30.00 * 2.1) - (30.00 * 2.1 * 0.0025) - 0.0008333333 = 62.8416666667
            krak      3x: (30.00 * 2.1) - (30.00 * 2.1 * 0.0025) - 0.040        = 62.8025
            bin  -1x,-3x: (30.000625 * 2.1) + (30.000625 * 2.1 * 0.0025)        = 63.15881578125
            krak -1x,-3x: (30.03 * 2.1) + (30.03 * 2.1 * 0.0025)                = 63.2206575
        1.9 quote
            bin,krak  1x: (30.00 * 1.9) - (30.00 * 1.9 * 0.0025)                = 56.8575
            bin       3x: (30.00 * 1.9) - (30.00 * 1.9 * 0.0025) - 0.0008333333 = 56.85666667
            krak      3x: (30.00 * 1.9) - (30.00 * 1.9 * 0.0025) - 0.040        = 56.8175
            bin  -1x,-3x: (30.000625 * 1.9) + (30.000625 * 1.9 * 0.0025)        = 57.14369046875
            krak -1x,-3x: (30.03 * 1.9) + (30.03 * 1.9 * 0.0025)                = 57.1996425
        2.2 quote
            bin,krak  1x: (30.00 * 2.20) - (30.00 * 2.20 * 0.0025)              = 65.835
            bin       3x: (30.00 * 2.20) - (30.00 * 2.20 * 0.0025) - 0.00083333 = 65.83416667
            krak      3x: (30.00 * 2.20) - (30.00 * 2.20 * 0.0025) - 0.040      = 65.795
            bin  -1x,-3x: (30.000625 * 2.20) + (30.000625 * 2.20 * 0.0025)      = 66.1663784375
            krak -1x,-3x: (30.03 * 2.20) + (30.03 * 2.20 * 0.0025)              = 66.231165
    total_profit:
        equations:
            1x, 3x : close_value - open_value
            -1x,-3x: open_value - close_value
        2.1 quote
            binance,kraken 1x: 62.8425     - 60.15          = 2.6925
            binance        3x: 62.84166667 - 60.15          = 2.69166667
            kraken         3x: 62.8025     - 60.15          = 2.6525
            binance   -1x,-3x: 59.850      - 63.15881578125 = -3.308815781249997
            kraken    -1x,-3x: 59.850      - 63.2206575     = -3.3706575
        1.9 quote
            binance,kraken 1x: 56.8575     - 60.15          = -3.2925
            binance        3x: 56.85666667 - 60.15          = -3.29333333
            kraken         3x: 56.8175     - 60.15          = -3.3325
            binance   -1x,-3x: 59.850      - 57.14369046875 = 2.7063095312499996
            kraken    -1x,-3x: 59.850      - 57.1996425     = 2.6503575
        2.2 quote
            binance,kraken 1x: 65.835      - 60.15          = 5.685
            binance        3x: 65.83416667 - 60.15          = 5.68416667
            kraken         3x: 65.795      - 60.15          = 5.645
            binance   -1x,-3x: 59.850      - 66.1663784375  = -6.316378437499999
            kraken    -1x,-3x: 59.850      - 66.231165      = -6.381165
    total_profit_ratio:
        equations:
            1x, 3x : ((close_value/open_value) - 1) * leverage
            -1x,-3x: (1 - (close_value/open_value)) * leverage
        2.1 quote
            binance,kraken 1x: (62.8425 / 60.15) - 1             = 0.04476309226932673
            binance        3x: ((62.84166667 / 60.15) - 1)*3     = 0.13424771421446402
            kraken         3x: ((62.8025 / 60.15) - 1)*3         = 0.13229426433915248
            binance       -1x: 1 - (63.15881578125 / 59.850)     = -0.05528514254385963
            binance       -3x: (1 - (63.15881578125 / 59.850))*3 = -0.1658554276315789
            kraken        -1x: 1 - (63.2206575 / 59.850)         = -0.05631842105263152
            kraken        -3x: (1 - (63.2206575 / 59.850))*3     = -0.16895526315789455
        1.9 quote
            binance,kraken 1x: (56.8575 / 60.15) - 1             = -0.05473815461346632
            binance        3x: ((56.85666667 / 60.15) - 1)*3     = -0.16425602643391513
            kraken         3x: ((56.8175 / 60.15) - 1)*3         = -0.16620947630922667
            binance       -1x: 1 - (57.14369046875 / 59.850)     = 0.045218204365079395
            binance       -3x: (1 - (57.14369046875 / 59.850))*3 = 0.13565461309523819
            kraken        -1x: 1 - (57.1996425 / 59.850)         = 0.04428333333333334
            kraken        -3x: (1 - (57.1996425 / 59.850))*3     = 0.13285000000000002
        2.2 quote
            binance,kraken 1x: (65.835 / 60.15) - 1             = 0.0945137157107232
            binance        3x: ((65.83416667 / 60.15) - 1)*3     = 0.2834995845386534
            kraken         3x: ((65.795 / 60.15) - 1)*3         = 0.2815461346633419
            binance       -1x: 1 - (66.1663784375 / 59.850)     = -0.1055368159983292
            binance       -3x: (1 - (66.1663784375 / 59.850))*3 = -0.3166104479949876
            kraken        -1x: 1 - (66.231165 / 59.850)         = -0.106619298245614
            kraken        -3x: (1 - (66.231165 / 59.850))*3     = -0.319857894736842
    fee: 0.003, 1x
        close_value:
            2.1 quote: (30.00 * 2.1) - (30.00 * 2.1 * 0.003) = 62.811
            1.9 quote: (30.00 * 1.9) - (30.00 * 1.9 * 0.003) = 56.829
            2.2 quote: (30.00 * 2.2) - (30.00 * 2.2 * 0.003) = 65.802
        total_profit
            fee: 0.003, 1x
                2.1 quote: 62.811 - 60.15 = 2.6610000000000014
                1.9 quote: 56.829 - 60.15 = -3.320999999999998
                2.2 quote: 65.802 - 60.15 = 5.652000000000008
        total_profit_ratio
            fee: 0.003, 1x
                2.1 quote: (62.811 / 60.15) - 1 = 0.04423940149625927
                1.9 quote: (56.829 / 60.15) - 1 = -0.05521197007481293
                2.2 quote: (65.802 / 60.15) - 1 = 0.09396508728179565
    futures (live):
        funding_fee: 1
            close_value:
                equations:
                    1x,3x: (amount * close_rate) - (amount * close_rate * fee) + funding_fees
                    -1x,-3x: (amount * close_rate) + (amount * close_rate * fee) - funding_fees
                2.1 quote
                    1x,3x: (30.00 * 2.1) - (30.00 * 2.1 * 0.0025) + 1   = 63.8425
                    -1x,-3x: (30.00 * 2.1) + (30.00 * 2.1 * 0.0025) - 1   = 62.1575
                1.9 quote
                    1x,3x: (30.00 * 1.9) - (30.00 * 1.9 * 0.0025) + 1   = 57.8575
                    -1x,-3x: (30.00 * 1.9) + (30.00 * 1.9 * 0.0025) - 1   = 56.1425
                2.2 quote:
                    1x,3x: (30.00 * 2.20) - (30.00 * 2.20 * 0.0025) + 1 = 66.835
                    -1x,-3x: (30.00 * 2.20) + (30.00 * 2.20 * 0.0025) - 1 = 65.165
            total_profit:
                2.1 quote
                    1x,3x:   63.8425     - 60.15          = 3.6925
                    -1x,-3x: 59.850      - 62.1575        = -2.3074999999999974
                1.9 quote
                    1x,3x:   57.8575     - 60.15          = -2.2925
                    -1x,-3x: 59.850      - 56.1425        = 3.707500000000003
                2.2 quote:
                    1x,3x:   66.835      - 60.15          = 6.685
                    -1x,-3x: 59.850      - 65.165         = -5.315000000000005
            total_profit_ratio:
                2.1 quote
                    1x: (63.8425 / 60.15) - 1             = 0.06138819617622615
                    3x: ((63.8425 / 60.15) - 1)*3         = 0.18416458852867845
                    -1x: 1 - (62.1575 / 59.850)           = -0.038554720133667564
                    -3x: (1 - (62.1575 / 59.850))*3       = -0.11566416040100269
                1.9 quote
                    1x: (57.8575 / 60.15) - 1             = -0.0381130507065669
                    3x: ((57.8575 / 60.15) - 1)*3         = -0.1143391521197007
                    -1x: 1 - (56.1425 / 59.850)           = 0.06194653299916464
                    -3x: (1 - (56.1425 / 59.850))*3       = 0.18583959899749392
                2.2 quote
                    1x: (66.835 / 60.15) - 1             = 0.11113881961762262
                    3x: ((66.835 / 60.15) - 1)*3         = 0.33341645885286786
                    -1x: 1 - (65.165 / 59.850)           = -0.08880534670008355
                    -3x: (1 - (65.165 / 59.850))*3       = -0.26641604010025066
        funding_fee: -1
            close_value:
                equations:
                    (amount * close_rate) - (amount * close_rate * fee) + funding_fees
                    (amount * close_rate) - (amount * close_rate * fee) - funding_fees
                2.1 quote
                    1x,3x:  (30.00 * 2.1) - (30.00 * 2.1 * 0.0025) + (-1)   = 61.8425
                    -1x,-3x: (30.00 * 2.1) + (30.00 * 2.1 * 0.0025) - (-1)   = 64.1575
                1.9 quote
                    1x,3x:  (30.00 * 1.9) - (30.00 * 1.9 * 0.0025) + (-1)   = 55.8575
                    -1x,-3x: (30.00 * 1.9) + (30.00 * 1.9 * 0.0025) - (-1)   = 58.1425
                2.2 quote:
                    1x,3x:  (30.00 * 2.20) - (30.00 * 2.20 * 0.0025) + (-1) = 64.835
                    -1x,-3x: (30.00 * 2.20) + (30.00 * 2.20 * 0.0025) - (-1) = 67.165
            total_profit:
                2.1 quote
                    1x,3x:   61.8425     - 60.15          = 1.6925000000000026
                    -1x,-3x: 59.850      - 64.1575        = -4.307499999999997
                1.9 quote
                    1x,3x:   55.8575     - 60.15          = -4.292499999999997
                    -1x,-3x: 59.850      - 58.1425        = 1.7075000000000031
                2.2 quote:
                    1x,3x:   64.835      - 60.15          = 4.684999999999995
                    -1x,-3x: 59.850      - 67.165         = -7.315000000000005
            total_profit_ratio:
                2.1 quote
                    1x: (61.8425 / 60.15) - 1             = 0.028137988362427313
                    3x: ((61.8425 / 60.15) - 1)*3         = 0.08441396508728194
                    -1x: 1 - (64.1575 / 59.850)           = -0.07197159565580624
                    -3x: (1 - (64.1575 / 59.850))*3       = -0.21591478696741873
                1.9 quote
                    1x: (55.8575 / 60.15) - 1             = -0.07136325852036574
                    3x: ((55.8575 / 60.15) - 1)*3         = -0.2140897755610972
                    -1x: 1 - (58.1425 / 59.850)           = 0.02852965747702596
                    -3x: (1 - (58.1425 / 59.850))*3       = 0.08558897243107788
                2.2 quote
                    1x: (64.835 / 60.15) - 1              = 0.07788861180382378
                    3x: ((64.835 / 60.15) - 1)*3          = 0.23366583541147135
                    -1x: 1 - (67.165 / 59.850)            = -0.12222222222222223
                    -3x: (1 - (67.165 / 59.850))*3        = -0.3666666666666667
    """
    trade = Trade(
        pair="ADA/USDT",
        stake_amount=60.0,
        amount=30.0,
        open_rate=2.0,
        open_date=datetime.now(tz=timezone.utc) - timedelta(minutes=10),
        interest_rate=0.0005,
        exchange=exchange,
        is_short=is_short,
        leverage=lev,
        fee_open=0.0025,
        fee_close=fee_close,
        max_stake_amount=60.0,
        trading_mode=trading_mode,
        funding_fees=funding_fees,
    )

    profit_res = trade.calculate_profit(close_rate)
    assert pytest.approx(profit_res.profit_abs) == round(profit, 8)
    assert pytest.approx(profit_res.profit_ratio) == round(profit_ratio, 8)
    val = trade.open_trade_value * (profit_res.profit_ratio) / lev
    assert pytest.approx(val) == profit_res.profit_abs

    assert pytest.approx(profit_res.total_profit) == round(profit, 8)
    # assert pytest.approx(profit_res.total_profit_ratio) == round(profit_ratio, 8)

    assert pytest.approx(trade.calc_profit(rate=close_rate)) == round(profit, 8)
    assert pytest.approx(trade.calc_profit_ratio(rate=close_rate)) == round(profit_ratio, 8)

    profit_res2 = trade.calculate_profit(close_rate, trade.amount, trade.open_rate)
    assert pytest.approx(profit_res2.profit_abs) == round(profit, 8)
    assert pytest.approx(profit_res2.profit_ratio) == round(profit_ratio, 8)

    assert pytest.approx(profit_res2.total_profit) == round(profit, 8)
    # assert pytest.approx(profit_res2.total_profit_ratio) == round(profit_ratio, 8)

    assert pytest.approx(trade.calc_profit(close_rate, trade.amount, trade.open_rate)) == round(
        profit, 8
    )
    assert pytest.approx(
        trade.calc_profit_ratio(close_rate, trade.amount, trade.open_rate)
    ) == round(profit_ratio, 8)


def test_adjust_stop_loss(fee):
    trade = Trade(
        pair="ADA/USDT",
        stake_amount=30.0,
        amount=30,
        fee_open=fee.return_value,
        fee_close=fee.return_value,
        exchange="binance",
        open_rate=1,
        max_rate=1,
    )

    trade.adjust_stop_loss(trade.open_rate, 0.05, True)
    assert trade.stop_loss == 0.95
    assert trade.stop_loss_pct == -0.05
    assert trade.initial_stop_loss == 0.95
    assert trade.initial_stop_loss_pct == -0.05

    # Get percent of profit with a lower rate
    trade.adjust_stop_loss(0.96, 0.05)
    assert trade.stop_loss == 0.95
    assert trade.stop_loss_pct == -0.05
    assert trade.initial_stop_loss == 0.95
    assert trade.initial_stop_loss_pct == -0.05

    # Get percent of profit with a custom rate (Higher than open rate)
    trade.adjust_stop_loss(1.3, -0.1)
    assert pytest.approx(trade.stop_loss) == 1.17
    assert trade.stop_loss_pct == -0.1
    assert trade.initial_stop_loss == 0.95
    assert trade.initial_stop_loss_pct == -0.05

    # current rate lower again ... should not change
    trade.adjust_stop_loss(1.2, 0.1)
    assert pytest.approx(trade.stop_loss) == 1.17
    assert trade.initial_stop_loss == 0.95
    assert trade.initial_stop_loss_pct == -0.05

    # current rate higher... should raise stoploss
    trade.adjust_stop_loss(1.4, 0.1)
    assert pytest.approx(trade.stop_loss) == 1.26
    assert trade.initial_stop_loss == 0.95
    assert trade.initial_stop_loss_pct == -0.05

    #  Initial is true but stop_loss set - so doesn't do anything
    trade.adjust_stop_loss(1.7, 0.1, True)
    assert pytest.approx(trade.stop_loss) == 1.26
    assert trade.initial_stop_loss == 0.95
    assert trade.initial_stop_loss_pct == -0.05
    assert trade.stop_loss_pct == -0.1


def test_adjust_stop_loss_short(fee):
    trade = Trade(
        pair="ADA/USDT",
        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,
    )
    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
    assert trade.initial_stop_loss == 1.05
    assert trade.initial_stop_loss_pct == -0.05
    assert trade.stop_loss_pct == -0.1
    # Liquidation price is lower than stoploss - so liquidation would trigger first.
    trade.set_liquidation_price(0.63)
    trade.adjust_stop_loss(0.59, -0.1)
    assert trade.stop_loss == 0.649
    assert trade.liquidation_price == 0.63


def test_adjust_min_max_rates(fee):
    trade = Trade(
        pair="ADA/USDT",
        stake_amount=30.0,
        amount=30.0,
        fee_open=fee.return_value,
        fee_close=fee.return_value,
        exchange="binance",
        open_rate=1,
    )

    trade.adjust_min_max_rates(trade.open_rate, trade.open_rate)
    assert trade.max_rate == 1
    assert trade.min_rate == 1

    # check min adjusted, max remained
    trade.adjust_min_max_rates(0.96, 0.96)
    assert trade.max_rate == 1
    assert trade.min_rate == 0.96

    # check max adjusted, min remains
    trade.adjust_min_max_rates(1.05, 1.05)
    assert trade.max_rate == 1.05
    assert trade.min_rate == 0.96

    # current rate "in the middle" - no adjustment
    trade.adjust_min_max_rates(1.03, 1.03)
    assert trade.max_rate == 1.05
    assert trade.min_rate == 0.96

    # current rate "in the middle" - no adjustment
    trade.adjust_min_max_rates(1.10, 0.91)
    assert trade.max_rate == 1.10
    assert trade.min_rate == 0.91


@pytest.mark.usefixtures("init_persistence")
@pytest.mark.parametrize("use_db", [True, False])
@pytest.mark.parametrize("is_short", [True, False])
def test_get_open(fee, is_short, use_db):
    Trade.use_db = use_db
    Trade.reset_trades()

    create_mock_trades(fee, is_short, use_db)
    assert len(Trade.get_open_trades()) == 4
    assert Trade.get_open_trade_count() == 4

    Trade.use_db = True


@pytest.mark.usefixtures("init_persistence")
@pytest.mark.parametrize("use_db", [True, False])
def test_get_open_lev(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
    assert Trade.get_open_trade_count() == 5

    Trade.use_db = True


@pytest.mark.parametrize("is_short", [True, False])
@pytest.mark.parametrize("use_db", [True, False])
@pytest.mark.usefixtures("init_persistence")
def test_get_open_orders(fee, is_short, use_db):
    Trade.use_db = use_db
    Trade.reset_trades()

    create_mock_trades_usdt(fee, is_short, use_db)
    # Trade.commit()
    trade = Trade.get_trades_proxy(pair="XRP/USDT")[0]
    # assert trade.id == 3
    assert len(trade.orders) == 2
    assert len(trade.open_orders) == 0
    assert not trade.has_open_orders

    Trade.use_db = True


@pytest.mark.usefixtures("init_persistence")
def test_to_json(fee):
    # Simulate dry_run entries
    trade = Trade(
        pair="ADA/USDT",
        stake_amount=0.001,
        amount=123.0,
        amount_requested=123.0,
        fee_open=fee.return_value,
        fee_close=fee.return_value,
        open_date=dt_now() - timedelta(hours=2),
        open_rate=0.123,
        exchange="binance",
        enter_tag=None,
        precision_mode=1,
        precision_mode_price=1,
        amount_precision=8.0,
        price_precision=7.0,
        contract_size=1,
    )
    result = trade.to_json()
    assert isinstance(result, dict)

    assert result == {
        "trade_id": None,
        "pair": "ADA/USDT",
        "base_currency": "ADA",
        "quote_currency": "USDT",
        "is_open": None,
        "open_date": trade.open_date.strftime(DATETIME_PRINT_FORMAT),
        "open_timestamp": int(trade.open_date.timestamp() * 1000),
        "open_fill_date": None,
        "open_fill_timestamp": None,
        "close_date": None,
        "close_timestamp": None,
        "open_rate": 0.123,
        "open_rate_requested": None,
        "open_trade_value": 15.1668225,
        "fee_close": 0.0025,
        "fee_close_cost": None,
        "fee_close_currency": None,
        "fee_open": 0.0025,
        "fee_open_cost": None,
        "fee_open_currency": None,
        "close_rate": None,
        "close_rate_requested": None,
        "amount": 123.0,
        "amount_requested": 123.0,
        "stake_amount": 0.001,
        "max_stake_amount": None,
        "trade_duration": None,
        "trade_duration_s": None,
        "realized_profit": 0.0,
        "realized_profit_ratio": None,
        "close_profit": None,
        "close_profit_pct": None,
        "close_profit_abs": None,
        "profit_ratio": None,
        "profit_pct": None,
        "profit_abs": None,
        "exit_reason": None,
        "exit_order_status": None,
        "stop_loss_abs": None,
        "stop_loss_ratio": None,
        "stop_loss_pct": None,
        "stoploss_last_update": None,
        "stoploss_last_update_timestamp": None,
        "initial_stop_loss_abs": None,
        "initial_stop_loss_pct": None,
        "initial_stop_loss_ratio": None,
        "min_rate": None,
        "max_rate": None,
        "strategy": None,
        "enter_tag": None,
        "timeframe": None,
        "exchange": "binance",
        "leverage": None,
        "interest_rate": None,
        "liquidation_price": None,
        "is_short": None,
        "trading_mode": None,
        "funding_fees": None,
        "amount_precision": 8.0,
        "price_precision": 7.0,
        "precision_mode": 1,
        "precision_mode_price": 1,
        "contract_size": 1,
        "orders": [],
        "has_open_orders": False,
    }

    # Simulate dry_run entries
    trade = Trade(
        pair="XRP/BTC",
        stake_amount=0.001,
        amount=100.0,
        amount_requested=101.0,
        fee_open=fee.return_value,
        fee_close=fee.return_value,
        open_date=dt_now() - timedelta(hours=2),
        close_date=dt_now() - timedelta(hours=1),
        open_rate=0.123,
        close_rate=0.125,
        enter_tag="buys_signal_001",
        exchange="binance",
        precision_mode=2,
        precision_mode_price=1,
        amount_precision=7.0,
        price_precision=8.0,
        contract_size=1,
    )
    result = trade.to_json()
    assert isinstance(result, dict)

    assert result == {
        "trade_id": None,
        "pair": "XRP/BTC",
        "base_currency": "XRP",
        "quote_currency": "BTC",
        "open_date": trade.open_date.strftime(DATETIME_PRINT_FORMAT),
        "open_timestamp": int(trade.open_date.timestamp() * 1000),
        "open_fill_date": None,
        "open_fill_timestamp": None,
        "close_date": trade.close_date.strftime(DATETIME_PRINT_FORMAT),
        "close_timestamp": int(trade.close_date.timestamp() * 1000),
        "open_rate": 0.123,
        "close_rate": 0.125,
        "amount": 100.0,
        "amount_requested": 101.0,
        "stake_amount": 0.001,
        "max_stake_amount": None,
        "trade_duration": 60,
        "trade_duration_s": 3600,
        "stop_loss_abs": None,
        "stop_loss_pct": None,
        "stop_loss_ratio": None,
        "stoploss_last_update": None,
        "stoploss_last_update_timestamp": None,
        "initial_stop_loss_abs": None,
        "initial_stop_loss_pct": None,
        "initial_stop_loss_ratio": None,
        "realized_profit": 0.0,
        "realized_profit_ratio": None,
        "close_profit": None,
        "close_profit_pct": None,
        "close_profit_abs": None,
        "profit_ratio": None,
        "profit_pct": None,
        "profit_abs": None,
        "close_rate_requested": None,
        "fee_close": 0.0025,
        "fee_close_cost": None,
        "fee_close_currency": None,
        "fee_open": 0.0025,
        "fee_open_cost": None,
        "fee_open_currency": None,
        "is_open": None,
        "max_rate": None,
        "min_rate": None,
        "open_rate_requested": None,
        "open_trade_value": 12.33075,
        "exit_reason": None,
        "exit_order_status": None,
        "strategy": None,
        "enter_tag": "buys_signal_001",
        "timeframe": None,
        "exchange": "binance",
        "leverage": None,
        "interest_rate": None,
        "liquidation_price": None,
        "is_short": None,
        "trading_mode": None,
        "funding_fees": None,
        "amount_precision": 7.0,
        "price_precision": 8.0,
        "precision_mode": 2,
        "precision_mode_price": 1,
        "contract_size": 1,
        "orders": [],
        "has_open_orders": False,
    }


def test_stoploss_reinitialization(default_conf, fee):
    init_db(default_conf["db_url"])
    trade = Trade(
        pair="ADA/USDT",
        stake_amount=30.0,
        fee_open=fee.return_value,
        open_date=dt_now() - timedelta(hours=2),
        amount=30.0,
        fee_close=fee.return_value,
        exchange="binance",
        open_rate=1,
        max_rate=1,
    )

    trade.adjust_stop_loss(trade.open_rate, 0.05, True)
    assert trade.stop_loss == 0.95
    assert trade.stop_loss_pct == -0.05
    assert trade.initial_stop_loss == 0.95
    assert trade.initial_stop_loss_pct == -0.05
    Trade.session.add(trade)
    Trade.commit()

    # 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 == 0.94
    assert trade_adj.stop_loss_pct == -0.06
    assert trade_adj.initial_stop_loss == 0.94
    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 == 0.96
    assert trade_adj.stop_loss_pct == -0.04
    assert trade_adj.initial_stop_loss == 0.96
    assert trade_adj.initial_stop_loss_pct == -0.04

    # Trailing stoploss (move stoplos up a bit)
    trade.adjust_stop_loss(1.02, 0.04)
    assert trade_adj.stop_loss == 0.9792
    assert trade_adj.initial_stop_loss == 0.96

    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 == 0.9792
    assert trade_adj.stop_loss_pct == -0.04
    assert trade_adj.initial_stop_loss == 0.96
    assert trade_adj.initial_stop_loss_pct == -0.04


def test_stoploss_reinitialization_leverage(default_conf, fee):
    init_db(default_conf["db_url"])
    trade = Trade(
        pair="ADA/USDT",
        stake_amount=30.0,
        fee_open=fee.return_value,
        open_date=dt_now() - timedelta(hours=2),
        amount=30.0,
        fee_close=fee.return_value,
        exchange="binance",
        open_rate=1,
        max_rate=1,
        leverage=5.0,
    )

    trade.adjust_stop_loss(trade.open_rate, 0.1, True)
    assert trade.stop_loss == 0.98
    assert trade.stop_loss_pct == -0.1
    assert trade.initial_stop_loss == 0.98
    assert trade.initial_stop_loss_pct == -0.1
    Trade.session.add(trade)
    Trade.commit()

    # Lower stoploss
    Trade.stoploss_reinitialization(0.15)

    trades = Trade.get_open_trades()
    assert len(trades) == 1
    trade_adj = trades[0]
    assert trade_adj.stop_loss == 0.97
    assert trade_adj.stop_loss_pct == -0.15
    assert trade_adj.initial_stop_loss == 0.97
    assert trade_adj.initial_stop_loss_pct == -0.15

    # Raise stoploss
    Trade.stoploss_reinitialization(0.05)

    trades = Trade.get_open_trades()
    assert len(trades) == 1
    trade_adj = trades[0]
    assert trade_adj.stop_loss == 0.99
    assert trade_adj.stop_loss_pct == -0.05
    assert trade_adj.initial_stop_loss == 0.99
    assert trade_adj.initial_stop_loss_pct == -0.05

    # Trailing stoploss (move stoplos up a bit)
    trade.adjust_stop_loss(1.02, 0.05)
    assert trade_adj.stop_loss == 1.0098
    assert trade_adj.initial_stop_loss == 0.99

    Trade.stoploss_reinitialization(0.05)

    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 == 1.0098
    assert trade_adj.stop_loss_pct == -0.05
    assert trade_adj.initial_stop_loss == 0.99
    assert trade_adj.initial_stop_loss_pct == -0.05


def test_stoploss_reinitialization_short(default_conf, fee):
    init_db(default_conf["db_url"])
    trade = Trade(
        pair="ADA/USDT",
        stake_amount=0.001,
        fee_open=fee.return_value,
        open_date=dt_now() - timedelta(hours=2),
        amount=10,
        fee_close=fee.return_value,
        exchange="binance",
        open_rate=1,
        max_rate=1,
        is_short=True,
        leverage=5.0,
    )
    trade.adjust_stop_loss(trade.open_rate, -0.1, True)
    assert trade.stop_loss == 1.02
    assert trade.stop_loss_pct == -0.1
    assert trade.initial_stop_loss == 1.02
    assert trade.initial_stop_loss_pct == -0.1
    Trade.session.add(trade)
    Trade.commit()
    # Lower stoploss
    Trade.stoploss_reinitialization(-0.15)
    trades = Trade.get_open_trades()
    assert len(trades) == 1
    trade_adj = trades[0]
    assert trade_adj.stop_loss == 1.03
    assert trade_adj.stop_loss_pct == -0.15
    assert trade_adj.initial_stop_loss == 1.03
    assert trade_adj.initial_stop_loss_pct == -0.15
    # Raise stoploss
    Trade.stoploss_reinitialization(-0.05)
    trades = Trade.get_open_trades()
    assert len(trades) == 1
    trade_adj = trades[0]
    assert trade_adj.stop_loss == 1.01
    assert trade_adj.stop_loss_pct == -0.05
    assert trade_adj.initial_stop_loss == 1.01
    assert trade_adj.initial_stop_loss_pct == -0.05
    # Trailing stoploss
    trade.adjust_stop_loss(0.98, -0.05)
    assert trade_adj.stop_loss == 0.9898
    assert trade_adj.initial_stop_loss == 1.01
    Trade.stoploss_reinitialization(-0.05)
    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 == 0.9898
    assert trade_adj.stop_loss_pct == -0.05
    assert trade_adj.initial_stop_loss == 1.01
    assert trade_adj.initial_stop_loss_pct == -0.05
    # Stoploss can't go above liquidation price
    trade_adj.set_liquidation_price(0.985)
    trade.adjust_stop_loss(0.9799, -0.05)
    assert trade_adj.stop_loss == 0.989699
    assert trade_adj.liquidation_price == 0.985


def test_update_fee(fee):
    trade = Trade(
        pair="ADA/USDT",
        stake_amount=30.0,
        fee_open=fee.return_value,
        open_date=dt_now() - timedelta(hours=2),
        amount=30.0,
        fee_close=fee.return_value,
        exchange="binance",
        open_rate=1,
        max_rate=1,
    )
    fee_cost = 0.15
    fee_currency = "BTC"
    fee_rate = 0.0075
    assert trade.fee_open_currency is None
    assert not trade.fee_updated("buy")
    assert not trade.fee_updated("sell")

    trade.update_fee(fee_cost, fee_currency, fee_rate, "buy")
    assert trade.fee_updated("buy")
    assert not trade.fee_updated("sell")
    assert trade.fee_open_currency == fee_currency
    assert trade.fee_open_cost == fee_cost
    assert trade.fee_open == fee_rate
    # Setting buy rate should "guess" close rate
    assert trade.fee_close == fee_rate
    assert trade.fee_close_currency is None
    assert trade.fee_close_cost is None

    fee_rate = 0.0076
    trade.update_fee(fee_cost, fee_currency, fee_rate, "sell")
    assert trade.fee_updated("buy")
    assert trade.fee_updated("sell")
    assert trade.fee_close == 0.0076
    assert trade.fee_close_cost == fee_cost
    assert trade.fee_close == fee_rate


def test_fee_updated(fee):
    trade = Trade(
        pair="ADA/USDT",
        stake_amount=30.0,
        fee_open=fee.return_value,
        open_date=dt_now() - timedelta(hours=2),
        amount=30.0,
        fee_close=fee.return_value,
        exchange="binance",
        open_rate=1,
        max_rate=1,
    )

    assert trade.fee_open_currency is None
    assert not trade.fee_updated("buy")
    assert not trade.fee_updated("sell")
    assert not trade.fee_updated("asdf")

    trade.update_fee(0.15, "BTC", 0.0075, "buy")
    assert trade.fee_updated("buy")
    assert not trade.fee_updated("sell")
    assert trade.fee_open_currency is not None
    assert trade.fee_close_currency is None

    trade.update_fee(0.15, "ABC", 0.0075, "sell")
    assert trade.fee_updated("buy")
    assert trade.fee_updated("sell")
    assert not trade.fee_updated("asfd")


@pytest.mark.usefixtures("init_persistence")
@pytest.mark.parametrize("is_short", [True, False])
@pytest.mark.parametrize("use_db", [True, False])
def test_total_open_trades_stakes(fee, is_short, use_db):
    Trade.use_db = use_db
    Trade.reset_trades()
    res = Trade.total_open_trades_stakes()
    assert res == 0
    create_mock_trades(fee, is_short, use_db)
    res = Trade.total_open_trades_stakes()
    assert res == 0.004

    Trade.use_db = True


@pytest.mark.usefixtures("init_persistence")
@pytest.mark.parametrize(
    "is_short,result",
    [
        (True, -0.006739127),
        (False, 0.000739127),
        (None, -0.005429127),
    ],
)
@pytest.mark.parametrize("use_db", [True, False])
def test_get_total_closed_profit(fee, use_db, is_short, result):
    Trade.use_db = use_db
    Trade.reset_trades()
    res = Trade.get_total_closed_profit()
    assert res == 0
    create_mock_trades(fee, is_short, use_db)
    res = Trade.get_total_closed_profit()
    assert pytest.approx(res) == result

    Trade.use_db = True


@pytest.mark.usefixtures("init_persistence")
@pytest.mark.parametrize("is_short", [True, False])
@pytest.mark.parametrize("use_db", [True, False])
def test_get_trades_proxy(fee, use_db, is_short):
    Trade.use_db = use_db
    Trade.reset_trades()
    create_mock_trades(fee, is_short, use_db)
    trades = Trade.get_trades_proxy()
    assert len(trades) == 6

    assert isinstance(trades[0], Trade)

    trades = Trade.get_trades_proxy(is_open=True)
    assert len(trades) == 4
    assert trades[0].is_open
    trades = Trade.get_trades_proxy(is_open=False)

    assert len(trades) == 2
    assert not trades[0].is_open

    opendate = datetime.now(tz=timezone.utc) - timedelta(minutes=15)

    assert len(Trade.get_trades_proxy(open_date=opendate)) == 3

    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_query([])
    # without orders there should be no join issued.
    query1 = Trade.get_trades_query([], include_orders=False)

    # Empty "with-options -> default - selection"
    assert query._with_options == ()
    assert query1._with_options != ()

    create_mock_trades(fee, is_short)
    query = Trade.get_trades_query([])
    query1 = Trade.get_trades_query([], include_orders=False)

    assert query._with_options == ()
    assert query1._with_options != ()


def test_get_trades_backtest():
    Trade.use_db = False
    with pytest.raises(NotImplementedError, match=r"`Trade.get_trades\(\)` not .*"):
        Trade.get_trades([])
    Trade.use_db = True


@pytest.mark.usefixtures("init_persistence")
# @pytest.mark.parametrize('is_short', [True, False])
def test_get_overall_performance(fee):
    create_mock_trades(fee, False)
    res = Trade.get_overall_performance()

    assert len(res) == 2
    assert "pair" in res[0]
    assert "profit" in res[0]
    assert "count" in res[0]


@pytest.mark.usefixtures("init_persistence")
@pytest.mark.parametrize(
    "is_short,pair,profit",
    [
        (True, "ETC/BTC", -0.005),
        (False, "XRP/BTC", 0.01),
        (None, "XRP/BTC", 0.01),
    ],
)
def test_get_best_pair(fee, is_short, pair, profit):
    res = Trade.get_best_pair()
    assert res is None

    create_mock_trades(fee, is_short)
    res = Trade.get_best_pair()
    assert len(res) == 2
    assert res[0] == pair
    assert res[1] == profit


@pytest.mark.usefixtures("init_persistence")
def test_get_best_pair_lev(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


@pytest.mark.usefixtures("init_persistence")
@pytest.mark.parametrize("is_short", [True, False])
def test_get_canceled_exit_order_count(fee, is_short):
    create_mock_trades(fee, is_short=is_short)
    trade = Trade.get_trades([Trade.pair == "ETC/BTC"]).first()
    # No canceled order.
    assert trade.get_canceled_exit_order_count() == 0
    # Property returns the same result
    assert trade.canceled_exit_order_count == 0

    trade.orders[-1].status = "canceled"
    assert trade.get_canceled_exit_order_count() == 1
    assert trade.canceled_exit_order_count == 1


@pytest.mark.usefixtures("init_persistence")
@pytest.mark.parametrize("is_short", [True, False])
def test_fully_canceled_entry_order_count(fee, is_short):
    create_mock_trades(fee, is_short=is_short)
    trade = Trade.get_trades([Trade.pair == "ETC/BTC"]).first()
    # No canceled order.
    assert trade.fully_canceled_entry_order_count == 0

    trade.orders[0].status = "canceled"
    trade.orders[0].filled = 0
    assert trade.fully_canceled_entry_order_count == 1


@pytest.mark.usefixtures("init_persistence")
def test_update_order_from_ccxt(caplog, time_machine):
    start = datetime(2023, 1, 1, 4, tzinfo=timezone.utc)
    time_machine.move_to(start, tick=False)

    # Most basic order return (only has orderid)
    o = Order.parse_from_ccxt_object({"id": "1234"}, "ADA/USDT", "buy", 20.01, 1234.6)
    assert isinstance(o, Order)
    assert o.ft_pair == "ADA/USDT"
    assert o.ft_order_side == "buy"
    assert o.order_id == "1234"
    assert o.ft_price == 1234.6
    assert o.ft_amount == 20.01
    assert o.ft_is_open
    ccxt_order = {
        "id": "1234",
        "side": "buy",
        "symbol": "ADA/USDT",
        "type": "limit",
        "price": 1234.5,
        "amount": 20.0,
        "filled": 9,
        "remaining": 11,
        "status": "open",
        "timestamp": 1599394315123,
    }
    o = Order.parse_from_ccxt_object(ccxt_order, "ADA/USDT", "buy", 20.01, 1234.6)
    assert isinstance(o, Order)
    assert o.ft_pair == "ADA/USDT"
    assert o.ft_order_side == "buy"
    assert o.order_id == "1234"
    assert o.order_type == "limit"
    assert o.price == 1234.5
    assert o.ft_price == 1234.6
    assert o.ft_amount == 20.01
    assert o.filled == 9
    assert o.remaining == 11
    assert o.order_date is not None
    assert o.ft_is_open
    assert o.order_filled_date is None

    # Order is unfilled, "filled" not set
    # https://github.com/freqtrade/freqtrade/issues/5404
    ccxt_order.update({"filled": None, "remaining": 20.0, "status": "canceled"})
    o.update_from_ccxt_object(ccxt_order)

    # Order has been closed
    ccxt_order.update({"filled": 20.0, "remaining": 0.0, "status": "closed"})
    o.update_from_ccxt_object(ccxt_order)

    assert o.filled == 20.0
    assert o.remaining == 0.0
    assert not o.ft_is_open
    assert o.order_filled_date == start
    # Move time
    time_machine.move_to(start + timedelta(hours=1), tick=False)

    ccxt_order.update({"id": "somethingelse"})
    with pytest.raises(DependencyException, match=r"Order-id's don't match"):
        o.update_from_ccxt_object(ccxt_order)

    message = "aaaa is not a valid response object."
    assert not log_has(message, caplog)
    Order.update_orders([o], "aaaa")
    assert log_has(message, caplog)

    # Call regular update - shouldn't fail.
    Order.update_orders([o], {"id": "1234"})
    assert o.order_filled_date == start

    # Fill order again - shouldn't update filled date
    ccxt_order.update({"id": "1234"})
    Order.update_orders([o], ccxt_order)
    assert o.order_filled_date == start


@pytest.mark.usefixtures("init_persistence")
@pytest.mark.parametrize("is_short", [True, False])
def test_select_order(fee, is_short):
    create_mock_trades(fee, is_short)

    trades = Trade.get_trades().all()

    # Open buy order, no sell order
    order = trades[0].select_order(trades[0].entry_side, True)
    assert order is not None
    order = trades[0].select_order(trades[0].entry_side, False)
    assert order is None
    order = trades[0].select_order(trades[0].exit_side, None)
    assert order is None

    # closed buy order, and open sell order
    order = trades[1].select_order(trades[1].entry_side, True)
    assert order is None
    order = trades[1].select_order(trades[1].entry_side, False)
    assert order is not None
    order = trades[1].select_order(trades[1].entry_side, None)
    assert order is not None
    order = trades[1].select_order(trades[1].exit_side, True)
    assert order is None
    order = trades[1].select_order(trades[1].exit_side, False)
    assert order is not None

    # Has open buy order
    order = trades[3].select_order(trades[3].entry_side, True)
    assert order is not None
    order = trades[3].select_order(trades[3].entry_side, False)
    assert order is None

    # Open sell order
    order = trades[4].select_order(trades[4].entry_side, True)
    assert order is None
    order = trades[4].select_order(trades[4].entry_side, False)
    assert order is not None

    trades[4].orders[1].ft_order_side = trades[4].exit_side
    order = trades[4].select_order(trades[4].exit_side, True)
    assert order is not None

    trades[4].orders[1].ft_order_side = "stoploss"
    order = trades[4].select_order("stoploss", None)
    assert order is not None
    assert order.ft_order_side == "stoploss"


def test_Trade_object_idem():
    assert issubclass(Trade, LocalTrade)

    trade = vars(Trade)
    localtrade = vars(LocalTrade)

    excludes = (
        "delete",
        "session",
        "commit",
        "rollback",
        "query",
        "open_date",
        "get_best_pair",
        "get_overall_performance",
        "get_total_closed_profit",
        "total_open_trades_stakes",
        "get_closed_trades_without_assigned_fees",
        "get_open_trades_without_assigned_fees",
        "get_trades",
        "get_trades_query",
        "get_exit_reason_performance",
        "get_enter_tag_performance",
        "get_mix_tag_performance",
        "get_trading_volume",
        "validate_string_len",
        "custom_data",
    )
    EXCLUDES2 = (
        "bt_trades",
        "bt_trades_open",
        "bt_trades_open_pp",
        "bt_open_open_trade_count",
        "bt_total_profit",
        "from_json",
    )

    # Parent (LocalTrade) should have the same attributes
    for item in trade:
        # Exclude private attributes and open_date (as it's not assigned a default)
        if not item.startswith("_") and item not in excludes:
            assert item in localtrade

    # Fails if only a column is added without corresponding parent field
    for item in localtrade:
        if (
            not item.startswith("__")
            and item not in EXCLUDES2
            and type(getattr(LocalTrade, item)) not in (property, FunctionType)
        ):
            assert item in trade


@pytest.mark.usefixtures("init_persistence")
def test_trade_truncates_string_fields():
    trade = Trade(
        pair="ADA/USDT",
        stake_amount=20.0,
        amount=30.0,
        open_rate=2.0,
        open_date=datetime.now(timezone.utc) - timedelta(minutes=20),
        fee_open=0.001,
        fee_close=0.001,
        exchange="binance",
        leverage=1.0,
        trading_mode="futures",
        enter_tag="a" * CUSTOM_TAG_MAX_LENGTH * 2,
        exit_reason="b" * CUSTOM_TAG_MAX_LENGTH * 2,
    )
    Trade.session.add(trade)
    Trade.commit()

    trade1 = Trade.session.scalars(select(Trade)).first()

    assert trade1.enter_tag == "a" * CUSTOM_TAG_MAX_LENGTH
    assert trade1.exit_reason == "b" * CUSTOM_TAG_MAX_LENGTH


def test_recalc_trade_from_orders(fee):
    o1_amount = 100
    o1_rate = 1
    o1_cost = o1_amount * o1_rate
    o1_fee_cost = o1_cost * fee.return_value
    o1_trade_val = o1_cost + o1_fee_cost

    trade = Trade(
        pair="ADA/USDT",
        stake_amount=o1_cost,
        open_date=dt_now() - timedelta(hours=2),
        amount=o1_amount,
        fee_open=fee.return_value,
        fee_close=fee.return_value,
        exchange="binance",
        open_rate=o1_rate,
        max_rate=o1_rate,
        leverage=1,
    )

    assert fee.return_value == 0.0025
    assert trade._calc_open_trade_value(trade.amount, trade.open_rate) == o1_trade_val
    assert trade.amount == o1_amount
    assert trade.stake_amount == o1_cost
    assert trade.open_rate == o1_rate
    assert trade.open_trade_value == o1_trade_val

    # Calling without orders should not throw exceptions and change nothing
    trade.recalc_trade_from_orders()
    assert trade.amount == o1_amount
    assert trade.stake_amount == o1_cost
    assert trade.open_rate == o1_rate
    assert trade.open_trade_value == o1_trade_val

    trade.update_fee(o1_fee_cost, "BNB", fee.return_value, "buy")

    assert len(trade.orders) == 0

    # Check with 1 order
    order1 = Order(
        ft_order_side="buy",
        ft_pair=trade.pair,
        ft_is_open=False,
        status="closed",
        symbol=trade.pair,
        order_type="market",
        side="buy",
        price=o1_rate,
        average=o1_rate,
        filled=o1_amount,
        remaining=0,
        cost=o1_amount,
        order_date=trade.open_date,
        order_filled_date=trade.open_date,
    )
    trade.orders.append(order1)
    trade.recalc_trade_from_orders()

    # Calling recalc with single initial order should not change anything
    assert trade.amount == o1_amount
    assert trade.stake_amount == o1_amount
    assert trade.open_rate == o1_rate
    assert trade.fee_open_cost == o1_fee_cost
    assert trade.open_trade_value == o1_trade_val

    # One additional adjustment / DCA order
    o2_amount = 125
    o2_rate = 0.9
    o2_cost = o2_amount * o2_rate
    o2_fee_cost = o2_cost * fee.return_value
    o2_trade_val = o2_cost + o2_fee_cost

    order2 = Order(
        ft_order_side="buy",
        ft_pair=trade.pair,
        ft_is_open=False,
        status="closed",
        symbol=trade.pair,
        order_type="market",
        side="buy",
        price=o2_rate,
        average=o2_rate,
        filled=o2_amount,
        remaining=0,
        cost=o2_cost,
        order_date=dt_now() - timedelta(hours=1),
        order_filled_date=dt_now() - timedelta(hours=1),
    )
    trade.orders.append(order2)
    trade.recalc_trade_from_orders()

    # Validate that the trade now has new averaged open price and total values
    avg_price = (o1_cost + o2_cost) / (o1_amount + o2_amount)
    assert trade.amount == o1_amount + o2_amount
    assert trade.stake_amount == o1_amount + o2_cost
    assert trade.open_rate == avg_price
    assert trade.fee_open_cost == o1_fee_cost + o2_fee_cost
    assert trade.open_trade_value == o1_trade_val + o2_trade_val

    # Let's try with multiple additional orders
    o3_amount = 150
    o3_rate = 0.85
    o3_cost = o3_amount * o3_rate
    o3_fee_cost = o3_cost * fee.return_value
    o3_trade_val = o3_cost + o3_fee_cost

    order3 = Order(
        ft_order_side="buy",
        ft_pair=trade.pair,
        ft_is_open=False,
        status="closed",
        symbol=trade.pair,
        order_type="market",
        side="buy",
        price=o3_rate,
        average=o3_rate,
        filled=o3_amount,
        remaining=0,
        cost=o3_cost,
        order_date=dt_now() - timedelta(hours=1),
        order_filled_date=dt_now() - timedelta(hours=1),
    )
    trade.orders.append(order3)
    trade.recalc_trade_from_orders()

    # Validate that the sum is still correct and open rate is averaged
    avg_price = (o1_cost + o2_cost + o3_cost) / (o1_amount + o2_amount + o3_amount)
    assert trade.amount == o1_amount + o2_amount + o3_amount
    assert trade.stake_amount == o1_cost + o2_cost + o3_cost
    assert trade.open_rate == avg_price
    assert pytest.approx(trade.fee_open_cost) == o1_fee_cost + o2_fee_cost + o3_fee_cost
    assert pytest.approx(trade.open_trade_value) == o1_trade_val + o2_trade_val + o3_trade_val

    # Just to make sure full sell orders are ignored, let's calculate one more time.

    sell1 = Order(
        ft_order_side="sell",
        ft_pair=trade.pair,
        ft_is_open=False,
        status="closed",
        symbol=trade.pair,
        order_type="market",
        side="sell",
        price=avg_price + 0.95,
        average=avg_price + 0.95,
        filled=o1_amount + o2_amount + o3_amount,
        remaining=0,
        cost=o1_cost + o2_cost + o3_cost,
        order_date=trade.open_date,
        order_filled_date=trade.open_date,
    )
    trade.orders.append(sell1)
    trade.recalc_trade_from_orders()

    assert trade.amount == o1_amount + o2_amount + o3_amount
    assert trade.stake_amount == o1_cost + o2_cost + o3_cost
    assert trade.open_rate == avg_price
    assert pytest.approx(trade.fee_open_cost) == o1_fee_cost + o2_fee_cost + o3_fee_cost
    assert pytest.approx(trade.open_trade_value) == o1_trade_val + o2_trade_val + o3_trade_val


@pytest.mark.usefixtures("init_persistence")
def test_recalc_trade_from_orders_kucoin():
    # Taken from https://github.com/freqtrade/freqtrade/issues/9346
    o1_amount = 11511963.8634448908
    o2_amount = 11750101.7743937783
    o3_amount = 23262065.6378386617  # Exit amount - barely doesn't even out

    res = o1_amount + o2_amount - o3_amount
    assert res > 0.0
    assert res < 0.1
    o1_rate = 0.000029901
    o2_rate = 0.000029295
    o3_rate = 0.000029822

    o1_cost = o1_amount * o1_rate

    trade = Trade(
        pair="FLOKI/USDT",
        stake_amount=o1_cost,
        open_date=dt_now() - timedelta(hours=2),
        amount=o1_amount,
        fee_open=0.001,
        fee_close=0.001,
        exchange="binance",
        open_rate=o1_rate,
        max_rate=o1_rate,
        leverage=1,
    )
    # Check with 1 order
    order1 = Order(
        ft_order_side="buy",
        ft_pair=trade.pair,
        ft_is_open=False,
        status="closed",
        symbol=trade.pair,
        order_type="market",
        side="buy",
        price=o1_rate,
        average=o1_rate,
        filled=o1_amount,
        remaining=0,
        cost=o1_cost,
        order_date=trade.open_date,
        order_filled_date=trade.open_date,
    )
    trade.orders.append(order1)
    order2 = Order(
        ft_order_side="buy",
        ft_pair=trade.pair,
        ft_is_open=False,
        status="closed",
        symbol=trade.pair,
        order_type="market",
        side="buy",
        price=o2_rate,
        average=o2_rate,
        filled=o2_amount,
        remaining=0,
        cost=o2_amount * o2_rate,
        order_date=trade.open_date,
        order_filled_date=trade.open_date,
    )
    trade.orders.append(order2)
    trade.recalc_trade_from_orders()
    assert trade.amount == o1_amount + o2_amount
    profit = trade.calculate_profit(o3_rate)
    assert profit.profit_abs == pytest.approx(3.90069871)
    assert profit.profit_ratio == pytest.approx(0.00566035)

    order3 = Order(
        ft_order_side="sell",
        ft_pair=trade.pair,
        ft_is_open=False,
        status="closed",
        symbol=trade.pair,
        order_type="market",
        side="sell",
        price=o3_rate,
        average=o3_rate,
        filled=o3_amount,
        remaining=0,
        cost=o2_amount * o2_rate,
        order_date=trade.open_date,
        order_filled_date=trade.open_date,
    )

    trade.orders.append(order3)
    trade.update_trade(order3)
    assert trade.is_open is False
    # Trade closed correctly - but left a minimal amount.
    assert trade.amount == 8e-09
    assert pytest.approx(trade.close_profit_abs) == 3.90069871
    assert pytest.approx(trade.close_profit) == 0.00566035


@pytest.mark.parametrize("is_short", [True, False])
def test_recalc_trade_from_orders_ignores_bad_orders(fee, is_short):
    o1_amount = 100
    o1_rate = 1
    o1_cost = o1_amount * o1_rate
    o1_fee_cost = o1_cost * fee.return_value
    o1_trade_val = o1_cost - o1_fee_cost if is_short else o1_cost + o1_fee_cost
    entry_side = "sell" if is_short else "buy"
    exit_side = "buy" if is_short else "sell"

    trade = Trade(
        pair="ADA/USDT",
        stake_amount=o1_cost,
        open_date=dt_now() - timedelta(hours=2),
        amount=o1_amount,
        fee_open=fee.return_value,
        fee_close=fee.return_value,
        exchange="binance",
        open_rate=o1_rate,
        max_rate=o1_rate,
        is_short=is_short,
        leverage=1.0,
    )
    trade.update_fee(o1_fee_cost, "BNB", fee.return_value, entry_side)
    # Check with 1 order
    order1 = Order(
        ft_order_side=entry_side,
        ft_pair=trade.pair,
        ft_is_open=False,
        status="closed",
        symbol=trade.pair,
        order_type="market",
        side=entry_side,
        price=o1_rate,
        average=o1_rate,
        filled=o1_amount,
        remaining=0,
        cost=o1_amount,
        order_date=trade.open_date,
        order_filled_date=trade.open_date,
    )
    trade.orders.append(order1)
    trade.recalc_trade_from_orders()

    # Calling recalc with single initial order should not change anything
    assert trade.amount == o1_amount
    assert trade.stake_amount == o1_amount
    assert trade.open_rate == o1_rate
    assert trade.fee_open_cost == o1_fee_cost
    assert trade.open_trade_value == o1_trade_val
    assert trade.nr_of_successful_entries == 1

    order2 = Order(
        ft_order_side=entry_side,
        ft_pair=trade.pair,
        ft_is_open=True,
        status="open",
        symbol=trade.pair,
        order_type="market",
        side=entry_side,
        price=o1_rate,
        average=o1_rate,
        filled=o1_amount,
        remaining=0,
        cost=o1_cost,
        order_date=dt_now() - timedelta(hours=1),
        order_filled_date=dt_now() - timedelta(hours=1),
    )
    trade.orders.append(order2)
    trade.recalc_trade_from_orders()

    # Validate that the trade values have not been changed
    assert trade.amount == o1_amount
    assert trade.stake_amount == o1_amount
    assert trade.open_rate == o1_rate
    assert trade.fee_open_cost == o1_fee_cost
    assert trade.open_trade_value == o1_trade_val
    assert trade.nr_of_successful_entries == 1

    # Let's try with some other orders
    order3 = Order(
        ft_order_side=entry_side,
        ft_pair=trade.pair,
        ft_is_open=False,
        status="cancelled",
        symbol=trade.pair,
        order_type="market",
        side=entry_side,
        price=1,
        average=2,
        filled=0,
        remaining=4,
        cost=5,
        order_date=dt_now() - timedelta(hours=1),
        order_filled_date=dt_now() - timedelta(hours=1),
    )
    trade.orders.append(order3)
    trade.recalc_trade_from_orders()

    # Validate that the order values still are ignoring orders 2 and 3
    assert trade.amount == o1_amount
    assert trade.stake_amount == o1_amount
    assert trade.open_rate == o1_rate
    assert trade.fee_open_cost == o1_fee_cost
    assert trade.open_trade_value == o1_trade_val
    assert trade.nr_of_successful_entries == 1

    order4 = Order(
        ft_order_side=entry_side,
        ft_pair=trade.pair,
        ft_is_open=False,
        status="closed",
        symbol=trade.pair,
        order_type="market",
        side=entry_side,
        price=o1_rate,
        average=o1_rate,
        filled=o1_amount,
        remaining=0,
        cost=o1_cost,
        order_date=dt_now() - timedelta(hours=1),
        order_filled_date=dt_now() - timedelta(hours=1),
    )
    trade.orders.append(order4)
    trade.recalc_trade_from_orders()

    # Validate that the trade values have been changed
    assert trade.amount == 2 * o1_amount
    assert trade.stake_amount == 2 * o1_amount
    assert trade.open_rate == o1_rate
    assert trade.fee_open_cost == trade.nr_of_successful_entries * o1_fee_cost
    assert trade.open_trade_value == 2 * o1_trade_val
    assert trade.nr_of_successful_entries == 2

    # Reduce position - this will reduce amount again.
    sell1 = Order(
        ft_order_side=exit_side,
        ft_pair=trade.pair,
        ft_is_open=False,
        status="closed",
        symbol=trade.pair,
        order_type="market",
        side=exit_side,
        price=4,
        average=3,
        filled=o1_amount,
        remaining=1,
        cost=5,
        order_date=trade.open_date,
        order_filled_date=trade.open_date,
    )
    trade.orders.append(sell1)
    trade.recalc_trade_from_orders()

    assert trade.amount == o1_amount
    assert trade.stake_amount == o1_amount
    assert trade.open_rate == o1_rate
    assert trade.fee_open_cost == trade.nr_of_successful_entries * o1_fee_cost
    assert trade.open_trade_value == o1_trade_val
    assert trade.nr_of_successful_entries == 2

    # Check with 1 order
    order_noavg = Order(
        ft_order_side=entry_side,
        ft_pair=trade.pair,
        ft_is_open=False,
        status="closed",
        symbol=trade.pair,
        order_type="market",
        side=entry_side,
        price=o1_rate,
        average=None,
        filled=o1_amount,
        remaining=0,
        cost=o1_amount,
        order_date=trade.open_date,
        order_filled_date=trade.open_date,
    )
    trade.orders.append(order_noavg)
    trade.recalc_trade_from_orders()

    # Calling recalc with single initial order should not change anything
    assert trade.amount == 2 * o1_amount
    assert trade.stake_amount == 2 * o1_amount
    assert trade.open_rate == o1_rate
    assert trade.fee_open_cost == trade.nr_of_successful_entries * o1_fee_cost
    assert trade.open_trade_value == 2 * o1_trade_val
    assert trade.nr_of_successful_entries == 3


@pytest.mark.usefixtures("init_persistence")
def test_select_filled_orders(fee):
    create_mock_trades(fee)

    trades = Trade.get_trades().all()

    # Closed buy order, no sell order
    orders = trades[0].select_filled_orders("buy")
    assert isinstance(orders, list)
    assert len(orders) == 0

    orders = trades[0].select_filled_orders("sell")
    assert orders is not None
    assert len(orders) == 0

    # closed buy order, and closed sell order
    orders = trades[1].select_filled_orders("buy")
    assert isinstance(orders, list)
    assert len(orders) == 1
    order = orders[0]
    assert order.amount > 0
    assert order.filled > 0
    assert order.side == "buy"
    assert order.ft_order_side == "buy"
    assert order.status == "closed"

    orders = trades[1].select_filled_orders("sell")
    assert isinstance(orders, list)
    assert len(orders) == 1

    # Has open buy order
    orders = trades[3].select_filled_orders("buy")
    assert isinstance(orders, list)
    assert len(orders) == 0
    orders = trades[3].select_filled_orders("sell")
    assert isinstance(orders, list)
    assert len(orders) == 0

    # Open sell order
    orders = trades[4].select_filled_orders("buy")
    assert isinstance(orders, list)
    assert len(orders) == 1
    orders = trades[4].select_filled_orders("sell")
    assert isinstance(orders, list)
    assert len(orders) == 0


@pytest.mark.usefixtures("init_persistence")
def test_order_to_ccxt(limit_buy_order_open, limit_sell_order_usdt_open):
    order = Order.parse_from_ccxt_object(limit_buy_order_open, "mocked", "buy")
    order.ft_trade_id = 1
    order.session.add(order)
    Order.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.get("stopPrice") is None
    raw_order.pop("stopPrice", None)
    del limit_buy_order_open["datetime"]
    assert raw_order == limit_buy_order_open

    order1 = Order.parse_from_ccxt_object(limit_sell_order_usdt_open, "mocked", "sell")
    order1.ft_order_side = "stoploss"
    order1.stop_price = order1.price * 0.9
    order1.ft_trade_id = 1
    order1.session.add(order1)
    Order.session.commit()

    order_resp1 = Order.order_by_id(limit_sell_order_usdt_open["id"])
    raw_order1 = order_resp1.to_ccxt_object()

    assert raw_order1.get("stopPrice") is not None


@pytest.mark.usefixtures("init_persistence")
@pytest.mark.parametrize(
    "data",
    [
        # tuple 1 - side, amount, price
        # tuple 2 - amount, open_rate, stake_amount, cumulative_profit, realized_profit, rel_profit
        {
            "orders": [
                (("buy", 100, 10), (100.0, 10.0, 1000.0, 0.0, None, None)),
                (("buy", 100, 15), (200.0, 12.5, 2500.0, 0.0, None, None)),
                (("sell", 50, 12), (150.0, 12.5, 1875.0, -25.0, -25.0, -0.01)),
                (("sell", 100, 20), (50.0, 12.5, 625.0, 725.0, 750.0, 0.29)),
                (("sell", 50, 5), (50.0, 12.5, 625.0, 350.0, -375.0, 0.14)),
            ],
            "end_profit": 350.0,
            "end_profit_ratio": 0.14,
            "fee": 0.0,
        },
        {
            "orders": [
                (("buy", 100, 10), (100.0, 10.0, 1000.0, 0.0, None, None)),
                (("buy", 100, 15), (200.0, 12.5, 2500.0, 0.0, None, None)),
                (("sell", 50, 12), (150.0, 12.5, 1875.0, -28.0625, -28.0625, -0.011197)),
                (("sell", 100, 20), (50.0, 12.5, 625.0, 713.8125, 741.875, 0.2848129)),
                (("sell", 50, 5), (50.0, 12.5, 625.0, 336.625, -377.1875, 0.1343142)),
            ],
            "end_profit": 336.625,
            "end_profit_ratio": 0.1343142,
            "fee": 0.0025,
        },
        {
            "orders": [
                (("buy", 100, 3), (100.0, 3.0, 300.0, 0.0, None, None)),
                (("buy", 100, 7), (200.0, 5.0, 1000.0, 0.0, None, None)),
                (("sell", 100, 11), (100.0, 5.0, 500.0, 596.0, 596.0, 0.5945137)),
                (("buy", 150, 15), (250.0, 11.0, 2750.0, 596.0, 596.0, 0.5945137)),
                (("sell", 100, 19), (150.0, 11.0, 1650.0, 1388.5, 792.5, 0.4261653)),
                (("sell", 150, 23), (150.0, 11.0, 1650.0, 3175.75, 1787.25, 0.9747170)),
            ],
            "end_profit": 3175.75,
            "end_profit_ratio": 0.9747170,
            "fee": 0.0025,
        },
        {
            # Test above without fees
            "orders": [
                (("buy", 100, 3), (100.0, 3.0, 300.0, 0.0, None, None)),
                (("buy", 100, 7), (200.0, 5.0, 1000.0, 0.0, None, None)),
                (("sell", 100, 11), (100.0, 5.0, 500.0, 600.0, 600.0, 0.6)),
                (("buy", 150, 15), (250.0, 11.0, 2750.0, 600.0, 600.0, 0.6)),
                (("sell", 100, 19), (150.0, 11.0, 1650.0, 1400.0, 800.0, 0.43076923)),
                (("sell", 150, 23), (150.0, 11.0, 1650.0, 3200.0, 1800.0, 0.98461538)),
            ],
            "end_profit": 3200.0,
            "end_profit_ratio": 0.98461538,
            "fee": 0.0,
        },
        {
            "orders": [
                (("buy", 100, 8), (100.0, 8.0, 800.0, 0.0, None, None)),
                (("buy", 100, 9), (200.0, 8.5, 1700.0, 0.0, None, None)),
                (("sell", 100, 10), (100.0, 8.5, 850.0, 150.0, 150.0, 0.08823529)),
                (("buy", 150, 11), (250.0, 10, 2500.0, 150.0, 150.0, 0.08823529)),
                (("sell", 100, 12), (150.0, 10.0, 1500.0, 350.0, 200.0, 0.1044776)),
                (("sell", 150, 14), (150.0, 10.0, 1500.0, 950.0, 600.0, 0.283582)),
            ],
            "end_profit": 950.0,
            "end_profit_ratio": 0.283582,
            "fee": 0.0,
        },
    ],
)
def test_recalc_trade_from_orders_dca(data) -> None:
    pair = "ETH/USDT"
    trade = Trade(
        id=2,
        pair=pair,
        stake_amount=1000,
        open_rate=data["orders"][0][0][2],
        amount=data["orders"][0][0][1],
        is_open=True,
        open_date=dt_now(),
        fee_open=data["fee"],
        fee_close=data["fee"],
        exchange="binance",
        is_short=False,
        leverage=1.0,
        trading_mode=TradingMode.SPOT,
    )
    Trade.session.add(trade)

    for idx, (order, result) in enumerate(data["orders"]):
        amount = order[1]
        price = order[2]

        order_obj = Order(
            ft_order_side=order[0],
            ft_pair=trade.pair,
            order_id=f"order_{order[0]}_{idx}",
            ft_is_open=False,
            ft_amount=amount,
            ft_price=price,
            status="closed",
            symbol=trade.pair,
            order_type="market",
            side=order[0],
            price=price,
            average=price,
            filled=amount,
            remaining=0,
            cost=amount * price,
            order_date=dt_now() - timedelta(hours=10 + idx),
            order_filled_date=dt_now() - timedelta(hours=10 + idx),
        )
        trade.orders.append(order_obj)
        trade.recalc_trade_from_orders()
        Trade.commit()

        orders1 = Order.session.scalars(select(Order)).all()
        assert orders1
        assert len(orders1) == idx + 1

        trade = Trade.session.scalars(select(Trade)).first()
        assert trade
        assert len(trade.orders) == idx + 1
        if idx < len(data) - 1:
            assert trade.is_open is True
        assert not trade.has_open_orders
        assert trade.amount == result[0]
        assert trade.open_rate == result[1]
        assert trade.stake_amount == result[2]
        assert pytest.approx(trade.realized_profit) == result[3]
        assert pytest.approx(trade.close_profit_abs) == result[4]
        assert pytest.approx(trade.close_profit) == result[5]

    trade.close(price)
    assert pytest.approx(trade.close_profit_abs) == data["end_profit"]
    assert pytest.approx(trade.close_profit) == data["end_profit_ratio"]
    assert not trade.is_open
    trade = Trade.session.scalars(select(Trade)).first()
    assert trade
    assert not trade.has_open_orders