Merge branch 'develop' into pr/mkavinkumar1/6545

This commit is contained in:
Matthias
2022-07-31 09:53:44 +02:00
32 changed files with 315 additions and 340 deletions

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@@ -311,3 +311,27 @@ def test_no_exchange_mode(default_conf):
with pytest.raises(OperationalException, match=message):
dp.available_pairs()
def test_dp_send_msg(default_conf):
default_conf["runmode"] = RunMode.DRY_RUN
default_conf["timeframe"] = '1h'
dp = DataProvider(default_conf, None)
msg = 'Test message'
dp.send_msg(msg)
assert msg in dp._msg_queue
dp._msg_queue.pop()
assert msg not in dp._msg_queue
# Message is not resent due to caching
dp.send_msg(msg)
assert msg not in dp._msg_queue
dp.send_msg(msg, always_send=True)
assert msg in dp._msg_queue
default_conf["runmode"] = RunMode.BACKTEST
dp = DataProvider(default_conf, None)
dp.send_msg(msg, always_send=True)
assert msg not in dp._msg_queue

View File

@@ -2993,6 +2993,9 @@ def test_check_order_canceled_empty(mocker, default_conf, exchange_name, order,
({'amount': 10.0, 'fee': {}}, False),
({'result': 'testest123'}, False),
('hello_world', False),
({'status': 'canceled', 'amount': None, 'fee': None}, False),
({'status': 'canceled', 'filled': None, 'amount': None, 'fee': None}, False),
])
def test_is_cancel_order_result_suitable(mocker, default_conf, exchange_name, order, result):
exchange = get_patched_exchange(mocker, default_conf, id=exchange_name)
@@ -4179,20 +4182,6 @@ def test_get_or_calculate_liquidation_price(mocker, default_conf):
)
assert liq_price == 17.540699999999998
ccxt_exceptionhandlers(
mocker,
default_conf,
api_mock,
"binance",
"get_or_calculate_liquidation_price",
"fetch_positions",
pair="XRP/USDT",
open_rate=0.0,
is_short=False,
position=0.0,
wallet_balance=0.0,
)
@pytest.mark.parametrize('exchange,rate_start,rate_end,d1,d2,amount,expected_fees', [
('binance', 0, 2, "2021-09-01 01:00:00", "2021-09-01 04:00:00", 30.0, 0.0),

View File

@@ -424,7 +424,7 @@ def test_MaxDrawdown(mocker, default_conf, fee, caplog):
@pytest.mark.parametrize("protectionconf,desc_expected,exception_expected", [
({"method": "StoplossGuard", "lookback_period": 60, "trade_limit": 2, "stop_duration": 60},
"[{'StoplossGuard': 'StoplossGuard - Frequent Stoploss Guard, "
"2 stoplosses within 60 minutes.'}]",
"2 stoplosses with profit < 0.00% within 60 minutes.'}]",
None
),
({"method": "CooldownPeriod", "stop_duration": 60},
@@ -442,9 +442,9 @@ def test_MaxDrawdown(mocker, default_conf, fee, caplog):
None
),
({"method": "StoplossGuard", "lookback_period_candles": 12, "trade_limit": 2,
"stop_duration": 60},
"required_profit": -0.05, "stop_duration": 60},
"[{'StoplossGuard': 'StoplossGuard - Frequent Stoploss Guard, "
"2 stoplosses within 12 candles.'}]",
"2 stoplosses with profit < -5.00% within 12 candles.'}]",
None
),
({"method": "CooldownPeriod", "stop_duration_candles": 5},

View File

@@ -1402,7 +1402,6 @@ def test_api_strategies(botclient):
'InformativeDecoratorTest',
'StrategyTestV2',
'StrategyTestV3',
'StrategyTestV3Analysis',
'StrategyTestV3Futures'
]}

View File

@@ -1,6 +1,7 @@
# pragma pylint: disable=missing-docstring, C0103
import logging
import time
from collections import deque
from unittest.mock import MagicMock
from freqtrade.enums import RPCMessageType
@@ -81,9 +82,25 @@ def test_send_msg_telegram_disabled(mocker, default_conf, caplog) -> None:
assert telegram_mock.call_count == 0
def test_process_msg_queue(mocker, default_conf, caplog) -> None:
telegram_mock = mocker.patch('freqtrade.rpc.telegram.Telegram.send_msg')
mocker.patch('freqtrade.rpc.telegram.Telegram._init')
freqtradebot = get_patched_freqtradebot(mocker, default_conf)
rpc_manager = RPCManager(freqtradebot)
queue = deque()
queue.append('Test message')
queue.append('Test message 2')
rpc_manager.process_msg_queue(queue)
assert log_has("Sending rpc message: {'type': strategy_msg, 'msg': 'Test message'}", caplog)
assert log_has("Sending rpc message: {'type': strategy_msg, 'msg': 'Test message 2'}", caplog)
assert telegram_mock.call_count == 2
def test_send_msg_telegram_enabled(mocker, default_conf, caplog) -> None:
telegram_mock = mocker.patch('freqtrade.rpc.telegram.Telegram.send_msg', MagicMock())
mocker.patch('freqtrade.rpc.telegram.Telegram._init', MagicMock())
telegram_mock = mocker.patch('freqtrade.rpc.telegram.Telegram.send_msg')
mocker.patch('freqtrade.rpc.telegram.Telegram._init')
freqtradebot = get_patched_freqtradebot(mocker, default_conf)
rpc_manager = RPCManager(freqtradebot)

View File

@@ -2067,6 +2067,16 @@ def test_startup_notification(default_conf, mocker) -> None:
assert msg_mock.call_args[0][0] == '*Custom:* `Hello World`'
def test_send_msg_strategy_msg_notification(default_conf, mocker) -> None:
telegram, _, msg_mock = get_telegram_testobject(mocker, default_conf)
telegram.send_msg({
'type': RPCMessageType.STRATEGY_MSG,
'msg': 'hello world, Test msg'
})
assert msg_mock.call_args[0][0] == 'hello world, Test msg'
def test_send_msg_unknown_type(default_conf, mocker) -> None:
telegram, _, _ = get_telegram_testobject(mocker, default_conf)
with pytest.raises(NotImplementedError, match=r'Unknown message type: None'):

View File

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

View File

@@ -408,28 +408,31 @@ def test_min_roi_reached3(default_conf, fee) -> None:
@pytest.mark.parametrize(
'profit,adjusted,expected,trailing,custom,profit2,adjusted2,expected2,custom_stop', [
'profit,adjusted,expected,liq,trailing,custom,profit2,adjusted2,expected2,custom_stop', [
# Profit, adjusted stoploss(absolute), profit for 2nd call, enable trailing,
# enable custom stoploss, expected after 1st call, expected after 2nd call
(0.2, 0.9, ExitType.NONE, False, False, 0.3, 0.9, ExitType.NONE, None),
(0.2, 0.9, ExitType.NONE, False, False, -0.2, 0.9, ExitType.STOP_LOSS, None),
(0.2, 1.14, ExitType.NONE, True, False, 0.05, 1.14, ExitType.TRAILING_STOP_LOSS, None),
(0.01, 0.96, ExitType.NONE, True, False, 0.05, 1, ExitType.NONE, None),
(0.05, 1, ExitType.NONE, True, False, -0.01, 1, ExitType.TRAILING_STOP_LOSS, None),
(0.2, 0.9, ExitType.NONE, None, False, False, 0.3, 0.9, ExitType.NONE, None),
(0.2, 0.9, ExitType.NONE, None, False, False, -0.2, 0.9, ExitType.STOP_LOSS, None),
(0.2, 0.9, ExitType.NONE, 0.8, False, False, -0.2, 0.9, ExitType.LIQUIDATION, None),
(0.2, 1.14, ExitType.NONE, None, True, False, 0.05, 1.14, ExitType.TRAILING_STOP_LOSS,
None),
(0.01, 0.96, ExitType.NONE, None, True, False, 0.05, 1, ExitType.NONE, None),
(0.05, 1, ExitType.NONE, None, True, False, -0.01, 1, ExitType.TRAILING_STOP_LOSS, None),
# Default custom case - trails with 10%
(0.05, 0.95, ExitType.NONE, False, True, -0.02, 0.95, ExitType.NONE, None),
(0.05, 0.95, ExitType.NONE, False, True, -0.06, 0.95, ExitType.TRAILING_STOP_LOSS, None),
(0.05, 1, ExitType.NONE, False, True, -0.06, 1, ExitType.TRAILING_STOP_LOSS,
(0.05, 0.95, ExitType.NONE, None, False, True, -0.02, 0.95, ExitType.NONE, None),
(0.05, 0.95, ExitType.NONE, None, False, True, -0.06, 0.95, ExitType.TRAILING_STOP_LOSS,
None),
(0.05, 1, ExitType.NONE, None, False, True, -0.06, 1, ExitType.TRAILING_STOP_LOSS,
lambda **kwargs: -0.05),
(0.05, 1, ExitType.NONE, False, True, 0.09, 1.04, ExitType.NONE,
(0.05, 1, ExitType.NONE, None, False, True, 0.09, 1.04, ExitType.NONE,
lambda **kwargs: -0.05),
(0.05, 0.95, ExitType.NONE, False, True, 0.09, 0.98, ExitType.NONE,
(0.05, 0.95, ExitType.NONE, None, False, True, 0.09, 0.98, ExitType.NONE,
lambda current_profit, **kwargs: -0.1 if current_profit < 0.6 else -(current_profit * 2)),
# Error case - static stoploss in place
(0.05, 0.9, ExitType.NONE, False, True, 0.09, 0.9, ExitType.NONE,
(0.05, 0.9, ExitType.NONE, None, False, True, 0.09, 0.9, ExitType.NONE,
lambda **kwargs: None),
])
def test_stop_loss_reached(default_conf, fee, profit, adjusted, expected, trailing, custom,
def test_stop_loss_reached(default_conf, fee, profit, adjusted, expected, liq, trailing, custom,
profit2, adjusted2, expected2, custom_stop) -> None:
strategy = StrategyResolver.load_strategy(default_conf)
@@ -442,6 +445,7 @@ def test_stop_loss_reached(default_conf, fee, profit, adjusted, expected, traili
fee_close=fee.return_value,
exchange='binance',
open_rate=1,
liquidation_price=liq,
)
trade.adjust_min_max_rates(trade.open_rate, trade.open_rate)
strategy.trailing_stop = trailing

View File

@@ -34,7 +34,7 @@ def test_search_all_strategies_no_failed():
directory = Path(__file__).parent / "strats"
strategies = StrategyResolver.search_all_objects(directory, enum_failed=False)
assert isinstance(strategies, list)
assert len(strategies) == 7
assert len(strategies) == 6
assert isinstance(strategies[0], dict)
@@ -42,10 +42,10 @@ def test_search_all_strategies_with_failed():
directory = Path(__file__).parent / "strats"
strategies = StrategyResolver.search_all_objects(directory, enum_failed=True)
assert isinstance(strategies, list)
assert len(strategies) == 8
assert len(strategies) == 7
# with enum_failed=True search_all_objects() shall find 2 good strategies
# and 1 which fails to load
assert len([x for x in strategies if x['class'] is not None]) == 7
assert len([x for x in strategies if x['class'] is not None]) == 6
assert len([x for x in strategies if x['class'] is None]) == 1

View File

@@ -68,6 +68,12 @@ def test_process_stopped(mocker, default_conf_usdt) -> None:
assert coo_mock.call_count == 1
def test_process_calls_sendmsg(mocker, default_conf_usdt) -> None:
freqtrade = get_patched_freqtradebot(mocker, default_conf_usdt)
freqtrade.process()
assert freqtrade.rpc.process_msg_queue.call_count == 1
def test_bot_cleanup(mocker, default_conf_usdt, caplog) -> None:
mock_cleanup = mocker.patch('freqtrade.freqtradebot.cleanup_db')
coo_mock = mocker.patch('freqtrade.freqtradebot.FreqtradeBot.cancel_all_open_orders')

View File

@@ -99,7 +99,7 @@ def test_enter_exit_side(fee, is_short):
@pytest.mark.usefixtures("init_persistence")
def test_set_stop_loss_isolated_liq(fee):
def test_set_stop_loss_liquidation(fee):
trade = Trade(
id=2,
pair='ADA/USDT',
@@ -115,73 +115,94 @@ def test_set_stop_loss_isolated_liq(fee):
leverage=2.0,
trading_mode=margin
)
trade.set_isolated_liq(0.09)
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._set_stop_loss(0.1, (1.0 / 9.0))
trade.adjust_stop_loss(2.0, 0.2, True)
assert trade.liquidation_price == 0.09
assert trade.stop_loss == 0.1
assert trade.initial_stop_loss == 0.1
assert trade.stop_loss == 1.8
assert trade.initial_stop_loss == 1.8
trade.set_isolated_liq(0.08)
trade.set_liquidation_price(0.08)
assert trade.liquidation_price == 0.08
assert trade.stop_loss == 0.1
assert trade.initial_stop_loss == 0.1
assert trade.stop_loss == 1.8
assert trade.initial_stop_loss == 1.8
trade.set_isolated_liq(0.11)
trade._set_stop_loss(0.1, 0)
trade.set_liquidation_price(0.11)
trade.adjust_stop_loss(2.0, 0.2)
assert trade.liquidation_price == 0.11
assert trade.stop_loss == 0.11
assert trade.initial_stop_loss == 0.1
# Stoploss does not change from liquidation price
assert trade.stop_loss == 1.8
assert trade.initial_stop_loss == 1.8
# lower stop doesn't move stoploss
trade._set_stop_loss(0.1, 0)
trade.adjust_stop_loss(1.8, 0.2)
assert trade.liquidation_price == 0.11
assert trade.stop_loss == 0.11
assert trade.initial_stop_loss == 0.1
assert trade.stop_loss == 1.8
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.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._set_stop_loss(0.07, 0)
trade.adjust_stop_loss(2.0, 0.1, True)
assert trade.liquidation_price is None
assert trade.stop_loss == 0.07
assert trade.initial_stop_loss == 0.07
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_isolated_liq(0.09)
assert trade.liquidation_price == 0.09
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._set_stop_loss(0.08, (1.0 / 9.0))
assert trade.liquidation_price == 0.09
assert trade.stop_loss == 0.08
assert trade.initial_stop_loss == 0.08
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_isolated_liq(0.1)
assert trade.liquidation_price == 0.1
assert trade.stop_loss == 0.08
assert trade.initial_stop_loss == 0.08
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_isolated_liq(0.07)
trade._set_stop_loss(0.1, (1.0 / 8.0))
assert trade.liquidation_price == 0.07
assert trade.stop_loss == 0.07
assert trade.initial_stop_loss == 0.08
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.initial_stop_loss == 2.2
# Stop doesn't move stop higher
trade._set_stop_loss(0.1, (1.0 / 9.0))
assert trade.liquidation_price == 0.07
assert trade.stop_loss == 0.07
assert trade.initial_stop_loss == 0.08
trade.adjust_stop_loss(2.0, 0.3)
assert trade.liquidation_price == 3.8
assert trade.stop_loss == 2.2
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.initial_stop_loss == 2.2
assert trade.stoploss_or_liquidation == 1.5
@pytest.mark.parametrize('exchange,is_short,lev,minutes,rate,interest,trading_mode', [
@@ -1542,26 +1563,26 @@ def test_adjust_stop_loss(fee):
# Get percent of profit with a custom rate (Higher than open rate)
trade.adjust_stop_loss(1.3, -0.1)
assert round(trade.stop_loss, 8) == 1.17
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 round(trade.stop_loss, 8) == 1.17
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 round(trade.stop_loss, 8) == 1.26
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 round(trade.stop_loss, 8) == 1.26
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
@@ -1614,9 +1635,10 @@ def test_adjust_stop_loss_short(fee):
assert trade.initial_stop_loss == 1.05
assert trade.initial_stop_loss_pct == -0.05
assert trade.stop_loss_pct == -0.1
trade.set_isolated_liq(0.63)
# 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 == 0.63
assert trade.stop_loss == 0.649
assert trade.liquidation_price == 0.63
@@ -2016,10 +2038,10 @@ def test_stoploss_reinitialization_short(default_conf, fee):
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_isolated_liq(0.985)
trade_adj.set_liquidation_price(0.985)
trade.adjust_stop_loss(0.9799, -0.05)
assert trade_adj.stop_loss == 0.985
assert trade_adj.stop_loss == 0.985
assert trade_adj.stop_loss == 0.989699
assert trade_adj.liquidation_price == 0.985
def test_update_fee(fee):