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stable/tests/conftest.py

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# pragma pylint: disable=missing-docstring
import json
import logging
import re
from copy import deepcopy
from datetime import datetime, timedelta
from functools import reduce
from pathlib import Path
from typing import Optional, Tuple
from unittest.mock import MagicMock, Mock, PropertyMock
import arrow
import numpy as np
import pytest
from telegram import Chat, Message, Update
from freqtrade import constants
from freqtrade.commands import Arguments
from freqtrade.data.converter import ohlcv_to_dataframe
from freqtrade.edge import Edge, PairInfo
from freqtrade.enums import Collateral, RunMode, TradingMode
from freqtrade.enums.signaltype import SignalDirection
from freqtrade.exchange import Exchange
from freqtrade.freqtradebot import FreqtradeBot
from freqtrade.persistence import LocalTrade, Trade, init_db
from freqtrade.resolvers import ExchangeResolver
from freqtrade.worker import Worker
from tests.conftest_trades import (leverage_trade, mock_trade_1, mock_trade_2, mock_trade_3,
mock_trade_4, mock_trade_5, mock_trade_6, short_trade)
from tests.conftest_trades_usdt import (mock_trade_usdt_1, mock_trade_usdt_2, mock_trade_usdt_3,
mock_trade_usdt_4, mock_trade_usdt_5, mock_trade_usdt_6)
logging.getLogger('').setLevel(logging.INFO)
# Do not mask numpy errors as warnings that no one read, raise the exсeption
np.seterr(all='raise')
CURRENT_TEST_STRATEGY = 'StrategyTestV3'
TRADE_SIDES = ('long', 'short')
def pytest_addoption(parser):
parser.addoption('--longrun', action='store_true', dest="longrun",
default=False, help="Enable long-run tests (ccxt compat)")
def pytest_configure(config):
config.addinivalue_line(
"markers", "longrun: mark test that is running slowly and should not be run regularily"
)
if not config.option.longrun:
setattr(config.option, 'markexpr', 'not longrun')
def log_has(line, logs):
# caplog mocker returns log as a tuple: ('freqtrade.something', logging.WARNING, 'foobar')
# and we want to match line against foobar in the tuple
return reduce(lambda a, b: a or b,
filter(lambda x: x[2] == line, logs.record_tuples),
False)
def log_has_re(line, logs):
return reduce(lambda a, b: a or b,
filter(lambda x: re.match(line, x[2]), logs.record_tuples),
False)
def get_args(args):
return Arguments(args).get_parsed_arg()
# Source: https://stackoverflow.com/questions/29881236/how-to-mock-asyncio-coroutines
def get_mock_coro(return_value):
async def mock_coro(*args, **kwargs):
return return_value
return Mock(wraps=mock_coro)
def patched_configuration_load_config_file(mocker, config) -> None:
mocker.patch(
'freqtrade.configuration.configuration.load_config_file',
lambda *args, **kwargs: config
)
def patch_exchange(
mocker,
api_mock=None,
id='binance',
mock_markets=True,
mock_supported_modes=True
) -> None:
mocker.patch('freqtrade.exchange.Exchange._load_async_markets', MagicMock(return_value={}))
mocker.patch('freqtrade.exchange.Exchange.validate_pairs', MagicMock())
mocker.patch('freqtrade.exchange.Exchange.validate_timeframes', MagicMock())
mocker.patch('freqtrade.exchange.Exchange.validate_ordertypes', MagicMock())
mocker.patch('freqtrade.exchange.Exchange.validate_stakecurrency', MagicMock())
mocker.patch('freqtrade.exchange.Exchange.id', PropertyMock(return_value=id))
mocker.patch('freqtrade.exchange.Exchange.name', PropertyMock(return_value=id.title()))
mocker.patch('freqtrade.exchange.Exchange.precisionMode', PropertyMock(return_value=2))
if mock_markets:
if isinstance(mock_markets, bool):
mock_markets = get_markets()
mocker.patch('freqtrade.exchange.Exchange.markets',
PropertyMock(return_value=mock_markets))
if mock_supported_modes:
mocker.patch(
f'freqtrade.exchange.{id.capitalize()}._supported_trading_mode_collateral_pairs',
PropertyMock(return_value=[
(TradingMode.MARGIN, Collateral.CROSS),
(TradingMode.MARGIN, Collateral.ISOLATED),
(TradingMode.FUTURES, Collateral.CROSS),
(TradingMode.FUTURES, Collateral.ISOLATED)
])
)
if api_mock:
mocker.patch('freqtrade.exchange.Exchange._init_ccxt', MagicMock(return_value=api_mock))
else:
mocker.patch('freqtrade.exchange.Exchange._init_ccxt', MagicMock())
def get_patched_exchange(mocker, config, api_mock=None, id='binance',
mock_markets=True, mock_supported_modes=True) -> Exchange:
patch_exchange(mocker, api_mock, id, mock_markets, mock_supported_modes)
config['exchange']['name'] = id
try:
exchange = ExchangeResolver.load_exchange(id, config)
except ImportError:
exchange = Exchange(config)
return exchange
def patch_wallet(mocker, free=999.9) -> None:
mocker.patch('freqtrade.wallets.Wallets.get_free', MagicMock(
return_value=free
))
def patch_whitelist(mocker, conf) -> None:
mocker.patch('freqtrade.freqtradebot.FreqtradeBot._refresh_active_whitelist',
MagicMock(return_value=conf['exchange']['pair_whitelist']))
def patch_edge(mocker) -> None:
# "ETH/BTC",
# "LTC/BTC",
# "XRP/BTC",
# "NEO/BTC"
mocker.patch('freqtrade.edge.Edge._cached_pairs', mocker.PropertyMock(
return_value={
'NEO/BTC': PairInfo(-0.20, 0.66, 3.71, 0.50, 1.71, 10, 25),
'LTC/BTC': PairInfo(-0.21, 0.66, 3.71, 0.50, 1.71, 11, 20),
}
))
mocker.patch('freqtrade.edge.Edge.calculate', MagicMock(return_value=True))
def get_patched_edge(mocker, config) -> Edge:
patch_edge(mocker)
edge = Edge(config)
return edge
# Functions for recurrent object patching
def patch_freqtradebot(mocker, config) -> None:
"""
This function patch _init_modules() to not call dependencies
:param mocker: a Mocker object to apply patches
:param config: Config to pass to the bot
:return: None
"""
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
init_db(config['db_url'])
patch_exchange(mocker)
mocker.patch('freqtrade.freqtradebot.RPCManager._init', MagicMock())
mocker.patch('freqtrade.freqtradebot.RPCManager.send_msg', MagicMock())
patch_whitelist(mocker, config)
def get_patched_freqtradebot(mocker, config) -> FreqtradeBot:
"""
This function patches _init_modules() to not call dependencies
:param mocker: a Mocker object to apply patches
:param config: Config to pass to the bot
:return: FreqtradeBot
"""
patch_freqtradebot(mocker, config)
config['datadir'] = Path(config['datadir'])
return FreqtradeBot(config)
def get_patched_worker(mocker, config) -> Worker:
"""
This function patches _init_modules() to not call dependencies
:param mocker: a Mocker object to apply patches
:param config: Config to pass to the bot
:return: Worker
"""
patch_freqtradebot(mocker, config)
return Worker(args=None, config=config)
def patch_get_signal(
freqtrade: FreqtradeBot,
enter_long=True,
exit_long=False,
enter_short=False,
exit_short=False,
enter_tag: Optional[str] = None
) -> None:
"""
:param mocker: mocker to patch IStrategy class
:param value: which value IStrategy.get_signal() must return
(buy, sell, buy_tag)
:return: None
"""
# returns (Signal-direction, signaname)
def patched_get_entry_signal(*args, **kwargs):
direction = None
if enter_long and not any([exit_long, enter_short]):
direction = SignalDirection.LONG
if enter_short and not any([exit_short, enter_long]):
direction = SignalDirection.SHORT
return direction, enter_tag
freqtrade.strategy.get_entry_signal = patched_get_entry_signal
def patched_get_exit_signal(pair, timeframe, dataframe, is_short):
if is_short:
return enter_short, exit_short
else:
return enter_long, exit_long
# returns (enter, exit)
freqtrade.strategy.get_exit_signal = patched_get_exit_signal
freqtrade.exchange.refresh_latest_ohlcv = lambda p: None
def create_mock_trades(fee, is_short: bool, use_db: bool = True):
"""
Create some fake trades ...
"""
def add_trade(trade):
if use_db:
Trade.query.session.add(trade)
else:
LocalTrade.add_bt_trade(trade)
# Simulate dry_run entries
trade = mock_trade_1(fee, is_short)
add_trade(trade)
trade = mock_trade_2(fee, is_short)
add_trade(trade)
trade = mock_trade_3(fee, is_short)
add_trade(trade)
trade = mock_trade_4(fee, is_short)
add_trade(trade)
trade = mock_trade_5(fee, is_short)
add_trade(trade)
trade = mock_trade_6(fee, is_short)
add_trade(trade)
if use_db:
Trade.commit()
Trade.query.session.flush()
def create_mock_trades_with_leverage(fee, use_db: bool = True):
"""
Create some fake trades ...
"""
def add_trade(trade):
if use_db:
Trade.query.session.add(trade)
else:
LocalTrade.add_bt_trade(trade)
# Simulate dry_run entries
trade = mock_trade_1(fee, False)
add_trade(trade)
trade = mock_trade_2(fee, False)
add_trade(trade)
trade = mock_trade_3(fee, False)
add_trade(trade)
trade = mock_trade_4(fee, False)
add_trade(trade)
trade = mock_trade_5(fee, False)
add_trade(trade)
trade = mock_trade_6(fee, False)
add_trade(trade)
trade = short_trade(fee)
add_trade(trade)
trade = leverage_trade(fee)
add_trade(trade)
if use_db:
Trade.query.session.flush()
def create_mock_trades_usdt(fee, use_db: bool = True):
"""
Create some fake trades ...
"""
def add_trade(trade):
if use_db:
Trade.query.session.add(trade)
else:
LocalTrade.add_bt_trade(trade)
# Simulate dry_run entries
trade = mock_trade_usdt_1(fee)
add_trade(trade)
trade = mock_trade_usdt_2(fee)
add_trade(trade)
trade = mock_trade_usdt_3(fee)
add_trade(trade)
trade = mock_trade_usdt_4(fee)
add_trade(trade)
trade = mock_trade_usdt_5(fee)
add_trade(trade)
trade = mock_trade_usdt_6(fee)
add_trade(trade)
if use_db:
Trade.commit()
Trade.query.session.flush()
def get_sides(is_short: bool) -> Tuple[str, str]:
return ("sell", "buy") if is_short else ("buy", "sell")
@pytest.fixture(autouse=True)
def patch_coingekko(mocker) -> None:
"""
Mocker to coingekko to speed up tests
:param mocker: mocker to patch coingekko class
:return: None
"""
tickermock = MagicMock(return_value={'bitcoin': {'usd': 12345.0}, 'ethereum': {'usd': 12345.0}})
listmock = MagicMock(return_value=[{'id': 'bitcoin', 'name': 'Bitcoin', 'symbol': 'btc',
'website_slug': 'bitcoin'},
{'id': 'ethereum', 'name': 'Ethereum', 'symbol': 'eth',
'website_slug': 'ethereum'}
])
mocker.patch.multiple(
'freqtrade.rpc.fiat_convert.CoinGeckoAPI',
get_price=tickermock,
get_coins_list=listmock,
)
@pytest.fixture(scope='function')
def init_persistence(default_conf):
init_db(default_conf['db_url'], default_conf['dry_run'])
@pytest.fixture(scope="function")
def default_conf(testdatadir):
return get_default_conf(testdatadir)
@pytest.fixture(scope="function")
def default_conf_usdt(testdatadir):
return get_default_conf_usdt(testdatadir)
def get_default_conf(testdatadir):
""" Returns validated configuration suitable for most tests """
configuration = {
"max_open_trades": 1,
"stake_currency": "BTC",
"stake_amount": 0.001,
"fiat_display_currency": "USD",
"timeframe": '5m',
"dry_run": True,
"cancel_open_orders_on_exit": False,
"minimal_roi": {
"40": 0.0,
"30": 0.01,
"20": 0.02,
"0": 0.04
},
"dry_run_wallet": 1000,
"stoploss": -0.10,
"unfilledtimeout": {
"buy": 10,
"sell": 30
},
"bid_strategy": {
"ask_last_balance": 0.0,
"use_order_book": False,
"order_book_top": 1,
"check_depth_of_market": {
"enabled": False,
"bids_to_ask_delta": 1
}
},
"ask_strategy": {
"use_order_book": False,
"order_book_top": 1,
},
"exchange": {
"name": "binance",
"enabled": True,
"key": "key",
"secret": "secret",
"pair_whitelist": [
"ETH/BTC",
"LTC/BTC",
"XRP/BTC",
"NEO/BTC"
],
"pair_blacklist": [
"DOGE/BTC",
"HOT/BTC",
]
},
"pairlists": [
{"method": "StaticPairList"}
],
"telegram": {
"enabled": True,
"token": "token",
"chat_id": "0",
"notification_settings": {},
},
"datadir": str(testdatadir),
"initial_state": "running",
"db_url": "sqlite://",
"user_data_dir": Path("user_data"),
"verbosity": 3,
"strategy_path": str(Path(__file__).parent / "strategy" / "strats"),
"strategy": CURRENT_TEST_STRATEGY,
"disableparamexport": True,
"internals": {},
"export": "none",
}
return configuration
def get_default_conf_usdt(testdatadir):
configuration = get_default_conf(testdatadir)
configuration.update({
"stake_amount": 60.0,
"stake_currency": "USDT",
"exchange": {
"name": "binance",
"enabled": True,
"key": "key",
"secret": "secret",
"pair_whitelist": [
"ETH/USDT",
"LTC/USDT",
"XRP/USDT",
"NEO/USDT",
"TKN/USDT",
],
"pair_blacklist": [
"DOGE/USDT",
"HOT/USDT",
]
},
})
return configuration
@pytest.fixture
def update():
_update = Update(0)
_update.message = Message(0, datetime.utcnow(), Chat(0, 0))
return _update
@pytest.fixture
def fee():
return MagicMock(return_value=0.0025)
@pytest.fixture
def ticker():
return MagicMock(return_value={
'bid': 0.00001098,
'ask': 0.00001099,
'last': 0.00001098,
})
@pytest.fixture
def ticker_sell_up():
return MagicMock(return_value={
'bid': 0.00001172,
'ask': 0.00001173,
'last': 0.00001172,
})
@pytest.fixture
def ticker_sell_down():
return MagicMock(return_value={
'bid': 0.00001044,
'ask': 0.00001043,
'last': 0.00001044,
})
@pytest.fixture
def ticker_usdt():
return MagicMock(return_value={
'bid': 2.0,
'ask': 2.02,
'last': 2.0,
})
@pytest.fixture
def ticker_usdt_sell_up():
return MagicMock(return_value={
'bid': 2.2,
'ask': 2.3,
'last': 2.2,
})
@pytest.fixture
def ticker_usdt_sell_down():
return MagicMock(return_value={
'bid': 2.01,
'ask': 2.0,
'last': 2.01,
})
@pytest.fixture
def markets():
return get_markets()
def get_markets():
# See get_markets_static() for immutable markets and do not modify them unless absolutely
# necessary!
return {
'ETH/BTC': {
'id': 'ethbtc',
'symbol': 'ETH/BTC',
'base': 'ETH',
'quote': 'BTC',
'active': True,
'precision': {
'price': 8,
'amount': 8,
'cost': 8,
},
'lot': 0.00000001,
'limits': {
'amount': {
'min': 0.01,
'max': 1000,
},
'price': 500000,
'cost': {
'min': 0.0001,
'max': 500000,
},
},
'info': {
'leverage_buy': ['2'],
'leverage_sell': ['2'],
},
},
'TKN/BTC': {
'id': 'tknbtc',
'symbol': 'TKN/BTC',
'base': 'TKN',
'quote': 'BTC',
# According to ccxt, markets without active item set are also active
# 'active': True,
'precision': {
'price': 8,
'amount': 8,
'cost': 8,
},
'lot': 0.00000001,
'limits': {
'amount': {
'min': 0.01,
'max': 1000,
},
'price': 500000,
'cost': {
'min': 0.0001,
'max': 500000,
},
},
'info': {
'leverage_buy': ['2', '3', '4', '5'],
'leverage_sell': ['2', '3', '4', '5'],
},
},
'BLK/BTC': {
'id': 'blkbtc',
'symbol': 'BLK/BTC',
'base': 'BLK',
'quote': 'BTC',
'active': True,
'precision': {
'price': 8,
'amount': 8,
'cost': 8,
},
'lot': 0.00000001,
'limits': {
'amount': {
'min': 0.01,
'max': 1000,
},
'price': 500000,
'cost': {
'min': 0.0001,
'max': 500000,
},
},
'info': {
'leverage_buy': ['2', '3'],
'leverage_sell': ['2', '3'],
},
},
'LTC/BTC': {
'id': 'ltcbtc',
'symbol': 'LTC/BTC',
'base': 'LTC',
'quote': 'BTC',
'active': True,
'precision': {
'price': 8,
'amount': 8,
'cost': 8,
},
'lot': 0.00000001,
'limits': {
'amount': {
'min': 0.01,
'max': 1000,
},
'price': 500000,
'cost': {
'min': 0.0001,
'max': 500000,
},
},
'info': {
'leverage_buy': [],
'leverage_sell': [],
},
},
'XRP/BTC': {
'id': 'xrpbtc',
'symbol': 'XRP/BTC',
'base': 'XRP',
'quote': 'BTC',
'active': True,
'precision': {
'price': 8,
'amount': 8,
'cost': 8,
},
'lot': 0.00000001,
'limits': {
'amount': {
'min': 0.01,
'max': 1000,
},
'price': 500000,
'cost': {
'min': 0.0001,
'max': 500000,
},
},
'info': {},
},
'NEO/BTC': {
'id': 'neobtc',
'symbol': 'NEO/BTC',
'base': 'NEO',
'quote': 'BTC',
'active': True,
'precision': {
'price': 8,
'amount': 8,
'cost': 8,
},
'lot': 0.00000001,
'limits': {
'amount': {
'min': 0.01,
'max': 1000,
},
'price': 500000,
'cost': {
'min': 0.0001,
'max': 500000,
},
},
'info': {},
},
'BTT/BTC': {
'id': 'BTTBTC',
'symbol': 'BTT/BTC',
'base': 'BTT',
'quote': 'BTC',
'active': False,
'precision': {
'base': 8,
'quote': 8,
'amount': 0,
'price': 8
},
'limits': {
'amount': {
'min': 1.0,
'max': 90000000.0
},
'price': {
'min': None,
'max': None
},
'cost': {
'min': 0.0001,
'max': None
}
},
'info': {
'leverage_buy': [],
'leverage_sell': [],
},
},
'ETH/USDT': {
'id': 'USDT-ETH',
'symbol': 'ETH/USDT',
'base': 'ETH',
'quote': 'USDT',
'precision': {
'amount': 8,
'price': 8
},
'limits': {
'amount': {
'min': 0.02214286,
'max': None
},
'price': {
'min': 1e-08,
'max': None
}
},
'active': True,
'info': {},
},
'LTC/USDT': {
'id': 'USDT-LTC',
'symbol': 'LTC/USDT',
'base': 'LTC',
'quote': 'USDT',
'active': False,
'precision': {
'amount': 8,
'price': 8
},
'limits': {
'amount': {
'min': 0.06646786,
'max': None
},
'price': {
'min': 1e-08,
'max': None
}
},
'info': {},
},
'XRP/USDT': {
'id': 'xrpusdt',
'symbol': 'XRP/USDT',
'base': 'XRP',
'quote': 'USDT',
'active': True,
'precision': {
'price': 8,
'amount': 8,
'cost': 8,
},
'lot': 0.00000001,
'limits': {
'amount': {
'min': 0.01,
'max': 1000,
},
'price': 500000,
'cost': {
'min': 0.0001,
'max': 500000,
},
},
'info': {},
},
'NEO/USDT': {
'id': 'neousdt',
'symbol': 'NEO/USDT',
'base': 'NEO',
'quote': 'USDT',
'active': True,
'precision': {
'price': 8,
'amount': 8,
'cost': 8,
},
'lot': 0.00000001,
'limits': {
'amount': {
'min': 0.01,
'max': 1000,
},
'price': 500000,
'cost': {
'min': 0.0001,
'max': 500000,
},
},
'info': {},
},
'TKN/USDT': {
'id': 'tknusdt',
'symbol': 'TKN/USDT',
'base': 'TKN',
'quote': 'USDT',
'active': True,
'precision': {
'price': 8,
'amount': 8,
'cost': 8,
},
'lot': 0.00000001,
'limits': {
'amount': {
'min': 0.01,
'max': 1000,
},
'price': 500000,
'cost': {
'min': 0.0001,
'max': 500000,
},
},
'info': {},
},
'LTC/USD': {
'id': 'USD-LTC',
'symbol': 'LTC/USD',
'base': 'LTC',
'quote': 'USD',
'active': True,
'precision': {
'amount': 8,
'price': 8
},
'limits': {
'amount': {
'min': 0.06646786,
'max': None
},
'price': {
'min': 1e-08,
'max': None
}
},
'info': {},
},
'XLTCUSDT': {
'id': 'xLTCUSDT',
'symbol': 'XLTCUSDT',
'base': 'LTC',
'quote': 'USDT',
'active': True,
'precision': {
'amount': 8,
'price': 8
},
'limits': {
'amount': {
'min': 0.06646786,
'max': None
},
'price': {
'min': 1e-08,
'max': None
}
},
'info': {},
},
'LTC/ETH': {
'id': 'LTCETH',
'symbol': 'LTC/ETH',
'base': 'LTC',
'quote': 'ETH',
'active': True,
'precision': {
'base': 8,
'quote': 8,
'amount': 3,
'price': 5
},
'limits': {
'amount': {
'min': 0.001,
'max': 10000000.0
},
'price': {
'min': 1e-05,
'max': 1000.0
},
'cost': {
'min': 0.01,
'max': None
}
},
'info': {
}
},
}
@pytest.fixture
def markets_static():
# These markets are used in some tests that would need adaptation should anything change in
# market list. Do not modify this list without a good reason! Do not modify market parameters
# of listed pairs in get_markets() without a good reason either!
static_markets = ['BLK/BTC', 'BTT/BTC', 'ETH/BTC', 'ETH/USDT', 'LTC/BTC', 'LTC/ETH', 'LTC/USD',
'LTC/USDT', 'NEO/BTC', 'TKN/BTC', 'XLTCUSDT', 'XRP/BTC']
all_markets = get_markets()
return {m: all_markets[m] for m in static_markets}
@pytest.fixture
def shitcoinmarkets(markets_static):
"""
Fixture with shitcoin markets - used to test filters in pairlists
"""
shitmarkets = deepcopy(markets_static)
shitmarkets.update({
'HOT/BTC': {
'id': 'HOTBTC',
'symbol': 'HOT/BTC',
'base': 'HOT',
'quote': 'BTC',
'active': True,
'precision': {
'base': 8,
'quote': 8,
'amount': 0,
'price': 8
},
'limits': {
'amount': {
'min': 1.0,
'max': 90000000.0
},
'price': {
'min': None,
'max': None
},
'cost': {
'min': 0.001,
'max': None
}
},
'info': {},
},
'FUEL/BTC': {
'id': 'FUELBTC',
'symbol': 'FUEL/BTC',
'base': 'FUEL',
'quote': 'BTC',
'active': True,
'precision': {
'base': 8,
'quote': 8,
'amount': 0,
'price': 8
},
'limits': {
'amount': {
'min': 1.0,
'max': 90000000.0
},
'price': {
'min': 1e-08,
'max': 1000.0
},
'cost': {
'min': 0.001,
'max': None
}
},
'info': {},
},
'NANO/USDT': {
"percentage": True,
"tierBased": False,
"taker": 0.001,
"maker": 0.001,
"precision": {
"base": 8,
"quote": 8,
"amount": 2,
"price": 4
},
"limits": {
},
"id": "NANOUSDT",
"symbol": "NANO/USDT",
"base": "NANO",
"quote": "USDT",
"baseId": "NANO",
"quoteId": "USDT",
"info": {},
"type": "spot",
"spot": True,
"future": False,
"active": True
},
'ADAHALF/USDT': {
"percentage": True,
"tierBased": False,
"taker": 0.001,
"maker": 0.001,
"precision": {
"base": 8,
"quote": 8,
"amount": 2,
"price": 4
},
"limits": {
},
"id": "ADAHALFUSDT",
"symbol": "ADAHALF/USDT",
"base": "ADAHALF",
"quote": "USDT",
"baseId": "ADAHALF",
"quoteId": "USDT",
"info": {},
"type": "spot",
"spot": True,
"future": False,
"active": True
},
'ADADOUBLE/USDT': {
"percentage": True,
"tierBased": False,
"taker": 0.001,
"maker": 0.001,
"precision": {
"base": 8,
"quote": 8,
"amount": 2,
"price": 4
},
"limits": {
},
"id": "ADADOUBLEUSDT",
"symbol": "ADADOUBLE/USDT",
"base": "ADADOUBLE",
"quote": "USDT",
"baseId": "ADADOUBLE",
"quoteId": "USDT",
"info": {},
"type": "spot",
"spot": True,
"future": False,
"active": True
},
})
return shitmarkets
@pytest.fixture
def markets_empty():
return MagicMock(return_value=[])
@pytest.fixture(scope='function')
def limit_buy_order_open():
return {
'id': 'mocked_limit_buy',
'type': 'limit',
'side': 'buy',
'symbol': 'mocked',
'datetime': arrow.utcnow().isoformat(),
'timestamp': arrow.utcnow().int_timestamp,
'price': 0.00001099,
'amount': 90.99181073,
'filled': 0.0,
'cost': 0.0009999,
'remaining': 90.99181073,
'status': 'open'
}
@pytest.fixture(scope='function')
def limit_buy_order(limit_buy_order_open):
order = deepcopy(limit_buy_order_open)
order['status'] = 'closed'
order['filled'] = order['amount']
order['remaining'] = 0.0
return order
@pytest.fixture(scope='function')
def market_buy_order():
return {
'id': 'mocked_market_buy',
'type': 'market',
'side': 'buy',
'symbol': 'mocked',
'datetime': arrow.utcnow().isoformat(),
'price': 0.00004099,
'amount': 91.99181073,
'filled': 91.99181073,
'remaining': 0.0,
'status': 'closed'
}
@pytest.fixture
def market_sell_order():
return {
'id': 'mocked_limit_sell',
'type': 'market',
'side': 'sell',
'symbol': 'mocked',
'datetime': arrow.utcnow().isoformat(),
'price': 0.00004173,
'amount': 91.99181073,
'filled': 91.99181073,
'remaining': 0.0,
'status': 'closed'
}
@pytest.fixture
def limit_buy_order_old():
return {
'id': 'mocked_limit_buy_old',
'type': 'limit',
'side': 'buy',
'symbol': 'mocked',
'datetime': str(arrow.utcnow().shift(minutes=-601).datetime),
'price': 0.00001099,
'amount': 90.99181073,
'filled': 0.0,
'remaining': 90.99181073,
'status': 'open'
}
@pytest.fixture
def limit_sell_order_old():
return {
'id': 'mocked_limit_sell_old',
'type': 'limit',
'side': 'sell',
'symbol': 'ETH/BTC',
'datetime': arrow.utcnow().shift(minutes=-601).isoformat(),
'price': 0.00001099,
'amount': 90.99181073,
'filled': 0.0,
'remaining': 90.99181073,
'status': 'open'
}
@pytest.fixture
def limit_buy_order_old_partial():
return {
'id': 'mocked_limit_buy_old_partial',
'type': 'limit',
'side': 'buy',
'symbol': 'ETH/BTC',
'datetime': arrow.utcnow().shift(minutes=-601).isoformat(),
'price': 0.00001099,
'amount': 90.99181073,
'filled': 23.0,
'remaining': 67.99181073,
'status': 'open'
}
@pytest.fixture
def limit_buy_order_old_partial_canceled(limit_buy_order_old_partial):
res = deepcopy(limit_buy_order_old_partial)
res['status'] = 'canceled'
res['fee'] = {'cost': 0.023, 'currency': 'ETH'}
return res
@pytest.fixture(scope='function')
def limit_buy_order_canceled_empty(request):
# Indirect fixture
# Documentation:
# https://docs.pytest.org/en/latest/example/parametrize.html#apply-indirect-on-particular-arguments
exchange_name = request.param
if exchange_name == 'ftx':
return {
'info': {},
'id': '1234512345',
'clientOrderId': None,
'timestamp': arrow.utcnow().shift(minutes=-601).int_timestamp,
'datetime': arrow.utcnow().shift(minutes=-601).isoformat(),
'lastTradeTimestamp': None,
'symbol': 'LTC/USDT',
'type': 'limit',
'side': 'buy',
'price': 34.3225,
'amount': 0.55,
'cost': 0.0,
'average': None,
'filled': 0.0,
'remaining': 0.0,
'status': 'closed',
'fee': None,
'trades': None
}
elif exchange_name == 'kraken':
return {
'info': {},
'id': 'AZNPFF-4AC4N-7MKTAT',
'clientOrderId': None,
'timestamp': arrow.utcnow().shift(minutes=-601).int_timestamp,
'datetime': arrow.utcnow().shift(minutes=-601).isoformat(),
'lastTradeTimestamp': None,
'status': 'canceled',
'symbol': 'LTC/USDT',
'type': 'limit',
'side': 'buy',
'price': 34.3225,
'cost': 0.0,
'amount': 0.55,
'filled': 0.0,
'average': 0.0,
'remaining': 0.55,
'fee': {'cost': 0.0, 'rate': None, 'currency': 'USDT'},
'trades': []
}
elif exchange_name == 'binance':
return {
'info': {},
'id': '1234512345',
'clientOrderId': 'alb1234123',
'timestamp': arrow.utcnow().shift(minutes=-601).int_timestamp,
'datetime': arrow.utcnow().shift(minutes=-601).isoformat(),
'lastTradeTimestamp': None,
'symbol': 'LTC/USDT',
'type': 'limit',
'side': 'buy',
'price': 0.016804,
'amount': 0.55,
'cost': 0.0,
'average': None,
'filled': 0.0,
'remaining': 0.55,
'status': 'canceled',
'fee': None,
'trades': None
}
else:
return {
'info': {},
'id': '1234512345',
'clientOrderId': 'alb1234123',
'timestamp': arrow.utcnow().shift(minutes=-601).int_timestamp,
'datetime': arrow.utcnow().shift(minutes=-601).isoformat(),
'lastTradeTimestamp': None,
'symbol': 'LTC/USDT',
'type': 'limit',
'side': 'buy',
'price': 0.016804,
'amount': 0.55,
'cost': 0.0,
'average': None,
'filled': 0.0,
'remaining': 0.55,
'status': 'canceled',
'fee': None,
'trades': None
}
@pytest.fixture
def limit_sell_order_open():
return {
'id': 'mocked_limit_sell',
'type': 'limit',
'side': 'sell',
'pair': 'mocked',
'datetime': arrow.utcnow().isoformat(),
'timestamp': arrow.utcnow().int_timestamp,
'price': 0.00001173,
'amount': 90.99181073,
'filled': 0.0,
'remaining': 90.99181073,
'status': 'open'
}
@pytest.fixture
def limit_sell_order(limit_sell_order_open):
order = deepcopy(limit_sell_order_open)
order['remaining'] = 0.0
order['filled'] = order['amount']
order['status'] = 'closed'
return order
@pytest.fixture
def order_book_l2():
return MagicMock(return_value={
'bids': [
[0.043936, 10.442],
[0.043935, 31.865],
[0.043933, 11.212],
[0.043928, 0.088],
[0.043925, 10.0],
[0.043921, 10.0],
[0.04392, 37.64],
[0.043899, 0.066],
[0.043885, 0.676],
[0.04387, 22.758]
],
'asks': [
[0.043949, 0.346],
[0.04395, 0.608],
[0.043951, 3.948],
[0.043954, 0.288],
[0.043958, 9.277],
[0.043995, 1.566],
[0.044, 0.588],
[0.044002, 0.992],
[0.044003, 0.095],
[0.04402, 37.64]
],
'timestamp': None,
'datetime': None,
'nonce': 288004540
})
@pytest.fixture
def order_book_l2_usd():
return MagicMock(return_value={
'symbol': 'LTC/USDT',
'bids': [
[25.563, 49.269],
[25.562, 83.0],
[25.56, 106.0],
[25.559, 15.381],
[25.558, 29.299],
[25.557, 34.624],
[25.556, 10.0],
[25.555, 14.684],
[25.554, 45.91],
[25.553, 50.0]
],
'asks': [
[25.566, 14.27],
[25.567, 48.484],
[25.568, 92.349],
[25.572, 31.48],
[25.573, 23.0],
[25.574, 20.0],
[25.575, 89.606],
[25.576, 262.016],
[25.577, 178.557],
[25.578, 78.614]
],
'timestamp': None,
'datetime': None,
'nonce': 2372149736
})
@pytest.fixture
def ohlcv_history_list():
return [
[
1511686200000, # unix timestamp ms
8.794e-05, # open
8.948e-05, # high
8.794e-05, # low
8.88e-05, # close
0.0877869, # volume (in quote currency)
],
[
1511686500000,
8.88e-05,
8.942e-05,
8.88e-05,
8.893e-05,
0.05874751,
],
[
1511686800000,
8.891e-05,
8.893e-05,
8.875e-05,
8.877e-05,
0.7039405
]
]
@pytest.fixture
def ohlcv_history(ohlcv_history_list):
return ohlcv_to_dataframe(ohlcv_history_list, "5m", pair="UNITTEST/BTC",
fill_missing=True, drop_incomplete=False)
@pytest.fixture
def tickers():
return MagicMock(return_value={
'ETH/BTC': {
'symbol': 'ETH/BTC',
'timestamp': 1522014806207,
'datetime': '2018-03-25T21:53:26.207Z',
'high': 0.061697,
'low': 0.060531,
'bid': 0.061588,
'bidVolume': 3.321,
'ask': 0.061655,
'askVolume': 0.212,
'vwap': 0.06105296,
'open': 0.060809,
'close': 0.060761,
'first': None,
'last': 0.061588,
'change': 1.281,
'percentage': None,
'average': None,
'baseVolume': 111649.001,
'quoteVolume': 6816.50176926,
'info': {}
},
'TKN/BTC': {
'symbol': 'TKN/BTC',
'timestamp': 1522014806169,
'datetime': '2018-03-25T21:53:26.169Z',
'high': 0.01885,
'low': 0.018497,
'bid': 0.018799,
'bidVolume': 8.38,
'ask': 0.018802,
'askVolume': 15.0,
'vwap': 0.01869197,
'open': 0.018585,
'close': 0.018573,
'last': 0.018799,
'baseVolume': 81058.66,
'quoteVolume': 2247.48374509,
},
'BLK/BTC': {
'symbol': 'BLK/BTC',
'timestamp': 1522014806072,
'datetime': '2018-03-25T21:53:26.720Z',
'high': 0.007745,
'low': 0.007512,
'bid': 0.007729,
'bidVolume': 0.01,
'ask': 0.007743,
'askVolume': 21.37,
'vwap': 0.00761466,
'open': 0.007653,
'close': 0.007652,
'first': None,
'last': 0.007743,
'change': 1.176,
'percentage': None,
'average': None,
'baseVolume': 295152.26,
'quoteVolume': 1515.14631229,
'info': {}
},
'LTC/BTC': {
'symbol': 'LTC/BTC',
'timestamp': 1523787258992,
'datetime': '2018-04-15T10:14:19.992Z',
'high': 0.015978,
'low': 0.0157,
'bid': 0.015954,
'bidVolume': 12.83,
'ask': 0.015957,
'askVolume': 0.49,
'vwap': 0.01581636,
'open': 0.015823,
'close': 0.01582,
'first': None,
'last': 0.015951,
'change': 0.809,
'percentage': None,
'average': None,
'baseVolume': 88620.68,
'quoteVolume': 1401.65697943,
'info': {}
},
'BTT/BTC': {
'symbol': 'BTT/BTC',
'timestamp': 1550936557206,
'datetime': '2019-02-23T15:42:37.206Z',
'high': 0.00000026,
'low': 0.00000024,
'bid': 0.00000024,
'bidVolume': 2446894197.0,
'ask': 0.00000025,
'askVolume': 2447913837.0,
'vwap': 0.00000025,
'open': 0.00000026,
'close': 0.00000024,
'last': 0.00000024,
'previousClose': 0.00000026,
'change': -0.00000002,
'percentage': -7.692,
'average': None,
'baseVolume': 4886464537.0,
'quoteVolume': 1215.14489611,
'info': {}
},
'HOT/BTC': {
'symbol': 'HOT/BTC',
'timestamp': 1572273518661,
'datetime': '2019-10-28T14:38:38.661Z',
'high': 0.00000011,
'low': 0.00000009,
'bid': 0.0000001,
'bidVolume': 1476027288.0,
'ask': 0.00000011,
'askVolume': 820153831.0,
'vwap': 0.0000001,
'open': 0.00000009,
'close': 0.00000011,
'last': 0.00000011,
'previousClose': 0.00000009,
'change': 0.00000002,
'percentage': 22.222,
'average': None,
'baseVolume': 1442290324.0,
'quoteVolume': 143.78311994,
'info': {}
},
'FUEL/BTC': {
'symbol': 'FUEL/BTC',
'timestamp': 1572340250771,
'datetime': '2019-10-29T09:10:50.771Z',
'high': 0.00000040,
'low': 0.00000035,
'bid': 0.00000036,
'bidVolume': 8932318.0,
'ask': 0.00000037,
'askVolume': 10140774.0,
'vwap': 0.00000037,
'open': 0.00000039,
'close': 0.00000037,
'last': 0.00000037,
'previousClose': 0.00000038,
'change': -0.00000002,
'percentage': -5.128,
'average': None,
'baseVolume': 168927742.0,
'quoteVolume': 62.68220262,
'info': {}
},
'BTC/USDT': {
'symbol': 'BTC/USDT',
'timestamp': 1573758371399,
'datetime': '2019-11-14T19:06:11.399Z',
'high': 8800.0,
'low': 8582.6,
'bid': 8648.16,
'bidVolume': 0.238771,
'ask': 8648.72,
'askVolume': 0.016253,
'vwap': 8683.13647806,
'open': 8759.7,
'close': 8648.72,
'last': 8648.72,
'previousClose': 8759.67,
'change': -110.98,
'percentage': -1.267,
'average': None,
'baseVolume': 35025.943355,
'quoteVolume': 304135046.4242901,
'info': {}
},
'ETH/USDT': {
'symbol': 'ETH/USDT',
'timestamp': 1522014804118,
'datetime': '2018-03-25T21:53:24.118Z',
'high': 530.88,
'low': 512.0,
'bid': 529.73,
'bidVolume': 0.2,
'ask': 530.21,
'askVolume': 0.2464,
'vwap': 521.02438405,
'open': 527.27,
'close': 528.42,
'first': None,
'last': 530.21,
'change': 0.558,
'percentage': None,
'average': None,
'baseVolume': 72300.0659,
'quoteVolume': 37670097.3022171,
'info': {}
},
'TKN/USDT': {
'symbol': 'TKN/USDT',
'timestamp': 1522014806198,
'datetime': '2018-03-25T21:53:26.198Z',
'high': 8718.0,
'low': 8365.77,
'bid': 8603.64,
'bidVolume': 0.15846,
'ask': 8603.67,
'askVolume': 0.069147,
'vwap': 8536.35621697,
'open': 8680.0,
'close': 8680.0,
'first': None,
'last': 8603.67,
'change': -0.879,
'percentage': None,
'average': None,
'baseVolume': 30414.604298,
'quoteVolume': 259629896.48584127,
'info': {}
},
'BLK/USDT': {
'symbol': 'BLK/USDT',
'timestamp': 1522014806145,
'datetime': '2018-03-25T21:53:26.145Z',
'high': 66.95,
'low': 63.38,
'bid': 66.473,
'bidVolume': 4.968,
'ask': 66.54,
'askVolume': 2.704,
'vwap': 65.0526901,
'open': 66.43,
'close': 66.383,
'first': None,
'last': 66.5,
'change': 0.105,
'percentage': None,
'average': None,
'baseVolume': 294106.204,
'quoteVolume': 19132399.743954,
'info': {}
},
'LTC/USDT': {
'symbol': 'LTC/USDT',
'timestamp': 1523787257812,
'datetime': '2018-04-15T10:14:18.812Z',
'high': 129.94,
'low': 124.0,
'bid': 129.28,
'bidVolume': 0.03201,
'ask': 129.52,
'askVolume': 0.14529,
'vwap': 126.92838682,
'open': 127.0,
'close': 127.1,
'first': None,
'last': 129.28,
'change': 1.795,
'percentage': None,
'average': None,
'baseVolume': 59698.79897,
'quoteVolume': 29132399.743954,
'info': {}
},
'XRP/BTC': {
'symbol': 'XRP/BTC',
'timestamp': 1573758257534,
'datetime': '2019-11-14T19:04:17.534Z',
'high': 3.126e-05,
'low': 3.061e-05,
'bid': 3.093e-05,
'bidVolume': 27901.0,
'ask': 3.095e-05,
'askVolume': 10551.0,
'vwap': 3.091e-05,
'open': 3.119e-05,
'close': 3.094e-05,
'last': 3.094e-05,
'previousClose': 3.117e-05,
'change': -2.5e-07,
'percentage': -0.802,
'average': None,
'baseVolume': 37334921.0,
'quoteVolume': 1154.19266394,
'info': {}
},
"NANO/USDT": {
"symbol": "NANO/USDT",
"timestamp": 1580469388244,
"datetime": "2020-01-31T11:16:28.244Z",
"high": 0.7519,
"low": 0.7154,
"bid": 0.7305,
"bidVolume": 300.3,
"ask": 0.7342,
"askVolume": 15.14,
"vwap": 0.73645591,
"open": 0.7154,
"close": 0.7342,
"last": 0.7342,
"previousClose": 0.7189,
"change": 0.0188,
"percentage": 2.628,
"average": None,
"baseVolume": 439472.44,
"quoteVolume": 323652.075405,
"info": {}
},
# Example of leveraged pair with incomplete info
"ADAHALF/USDT": {
"symbol": "ADAHALF/USDT",
"timestamp": 1580469388244,
"datetime": "2020-01-31T11:16:28.244Z",
"high": None,
"low": None,
"bid": 0.7305,
"bidVolume": None,
"ask": 0.7342,
"askVolume": None,
"vwap": None,
"open": None,
"close": None,
"last": None,
"previousClose": None,
"change": None,
"percentage": 2.628,
"average": None,
"baseVolume": 0.0,
"quoteVolume": 0.0,
"info": {}
},
"ADADOUBLE/USDT": {
"symbol": "ADADOUBLE/USDT",
"timestamp": 1580469388244,
"datetime": "2020-01-31T11:16:28.244Z",
"high": None,
"low": None,
"bid": 0.7305,
"bidVolume": None,
"ask": 0.7342,
"askVolume": None,
"vwap": None,
"open": None,
"close": None,
"last": 0,
"previousClose": None,
"change": None,
"percentage": 2.628,
"average": None,
"baseVolume": 0.0,
"quoteVolume": 0.0,
"info": {}
},
})
@pytest.fixture
def result(testdatadir):
with (testdatadir / 'UNITTEST_BTC-1m.json').open('r') as data_file:
return ohlcv_to_dataframe(json.load(data_file), '1m', pair="UNITTEST/BTC",
fill_missing=True)
@pytest.fixture(scope="function")
def trades_for_order():
return [{
'info': {
'id': 34567,
'orderId': 123456,
'price': '2.0',
'qty': '8.00000000',
'commission': '0.00800000',
'commissionAsset': 'LTC',
'time': 1521663363189,
'isBuyer': True,
'isMaker': False,
'isBestMatch': True
},
'timestamp': 1521663363189,
'datetime': '2018-03-21T20:16:03.189Z',
'symbol': 'LTC/USDT',
'id': '34567',
'order': '123456',
'type': None,
'side': 'buy',
'price': 2.0,
'cost': 16.0,
'amount': 8.0,
'fee': {
'cost': 0.008,
'currency': 'LTC'
}
}]
@pytest.fixture(scope="function")
def trades_history():
return [[1565798389463, '12618132aa9', None, 'buy', 0.019627, 0.04, 0.00078508],
[1565798399629, '1261813bb30', None, 'buy', 0.019627, 0.244, 0.004788987999999999],
[1565798399752, '1261813cc31', None, 'sell', 0.019626, 0.011, 0.00021588599999999999],
[1565798399862, '126181cc332', None, 'sell', 0.019626, 0.011, 0.00021588599999999999],
[1565798399872, '1261aa81333', None, 'sell', 0.019626, 0.011, 0.00021588599999999999]]
@pytest.fixture(scope="function")
def fetch_trades_result():
return [{'info': {'a': 126181329,
'p': '0.01962700',
'q': '0.04000000',
'f': 138604155,
'l': 138604155,
'T': 1565798399463,
'm': False,
'M': True},
'timestamp': 1565798399463,
'datetime': '2019-08-14T15:59:59.463Z',
'symbol': 'ETH/BTC',
'id': '126181329',
'order': None,
'type': None,
'takerOrMaker': None,
'side': 'buy',
'price': 0.019627,
'amount': 0.04,
'cost': 0.00078508,
'fee': None},
{'info': {'a': 126181330,
'p': '0.01962700',
'q': '0.24400000',
'f': 138604156,
'l': 138604156,
'T': 1565798399629,
'm': False,
'M': True},
'timestamp': 1565798399629,
'datetime': '2019-08-14T15:59:59.629Z',
'symbol': 'ETH/BTC',
'id': '126181330',
'order': None,
'type': None,
'takerOrMaker': None,
'side': 'buy',
'price': 0.019627,
'amount': 0.244,
'cost': 0.004788987999999999,
'fee': None},
{'info': {'a': 126181331,
'p': '0.01962600',
'q': '0.01100000',
'f': 138604157,
'l': 138604157,
'T': 1565798399752,
'm': True,
'M': True},
'timestamp': 1565798399752,
'datetime': '2019-08-14T15:59:59.752Z',
'symbol': 'ETH/BTC',
'id': '126181331',
'order': None,
'type': None,
'takerOrMaker': None,
'side': 'sell',
'price': 0.019626,
'amount': 0.011,
'cost': 0.00021588599999999999,
'fee': None},
{'info': {'a': 126181332,
'p': '0.01962600',
'q': '0.01100000',
'f': 138604158,
'l': 138604158,
'T': 1565798399862,
'm': True,
'M': True},
'timestamp': 1565798399862,
'datetime': '2019-08-14T15:59:59.862Z',
'symbol': 'ETH/BTC',
'id': '126181332',
'order': None,
'type': None,
'takerOrMaker': None,
'side': 'sell',
'price': 0.019626,
'amount': 0.011,
'cost': 0.00021588599999999999,
'fee': None},
{'info': {'a': 126181333,
'p': '0.01952600',
'q': '0.01200000',
'f': 138604158,
'l': 138604158,
'T': 1565798399872,
'm': True,
'M': True},
'timestamp': 1565798399872,
'datetime': '2019-08-14T15:59:59.872Z',
'symbol': 'ETH/BTC',
'id': '126181333',
'order': None,
'type': None,
'takerOrMaker': None,
'side': 'sell',
'price': 0.019626,
'amount': 0.011,
'cost': 0.00021588599999999999,
'fee': None}]
@pytest.fixture(scope="function")
def trades_for_order2():
return [{'info': {},
'timestamp': 1521663363189,
'datetime': '2018-03-21T20:16:03.189Z',
'symbol': 'LTC/ETH',
'id': '34567',
'order': '123456',
'type': None,
'side': 'buy',
'price': 0.245441,
'cost': 1.963528,
'amount': 4.0,
'fee': {'cost': 0.004, 'currency': 'LTC'}},
{'info': {},
'timestamp': 1521663363189,
'datetime': '2018-03-21T20:16:03.189Z',
'symbol': 'LTC/ETH',
'id': '34567',
'order': '123456',
'type': None,
'side': 'buy',
'price': 0.245441,
'cost': 1.963528,
'amount': 4.0,
'fee': {'cost': 0.004, 'currency': 'LTC'}}]
@pytest.fixture
def buy_order_fee():
return {
'id': 'mocked_limit_buy_old',
'type': 'limit',
'side': 'buy',
'symbol': 'mocked',
'datetime': str(arrow.utcnow().shift(minutes=-601).datetime),
'price': 0.245441,
'amount': 8.0,
'cost': 1.963528,
'remaining': 90.99181073,
'status': 'closed',
'fee': None
}
@pytest.fixture(scope="function")
def edge_conf(default_conf):
conf = deepcopy(default_conf)
conf['runmode'] = RunMode.DRY_RUN
conf['max_open_trades'] = -1
conf['tradable_balance_ratio'] = 0.5
conf['stake_amount'] = constants.UNLIMITED_STAKE_AMOUNT
conf['edge'] = {
"enabled": True,
"process_throttle_secs": 1800,
"calculate_since_number_of_days": 14,
"allowed_risk": 0.01,
"stoploss_range_min": -0.01,
"stoploss_range_max": -0.1,
"stoploss_range_step": -0.01,
"maximum_winrate": 0.80,
"minimum_expectancy": 0.20,
"min_trade_number": 15,
"max_trade_duration_minute": 1440,
"remove_pumps": False
}
return conf
@pytest.fixture
def rpc_balance():
return {
'BTC': {
'total': 12.0,
'free': 12.0,
'used': 0.0
},
'ETH': {
'total': 0.0,
'free': 0.0,
'used': 0.0
},
'USDT': {
'total': 10000.0,
'free': 10000.0,
'used': 0.0
},
'LTC': {
'total': 10.0,
'free': 10.0,
'used': 0.0
},
'XRP': {
'total': 0.1,
'free': 0.01,
'used': 0.0
},
'EUR': {
'total': 10.0,
'free': 10.0,
'used': 0.0
},
}
@pytest.fixture
def testdatadir() -> Path:
"""Return the path where testdata files are stored"""
return (Path(__file__).parent / "testdata").resolve()
@pytest.fixture(scope="function")
def import_fails() -> None:
# Source of this test-method:
# https://stackoverflow.com/questions/2481511/mocking-importerror-in-python
import builtins
realimport = builtins.__import__
def mockedimport(name, *args, **kwargs):
if name in ["filelock", 'systemd.journal', 'uvloop']:
raise ImportError(f"No module named '{name}'")
return realimport(name, *args, **kwargs)
builtins.__import__ = mockedimport
# Run test - then cleanup
yield
# restore previous importfunction
builtins.__import__ = realimport
@pytest.fixture(scope="function")
def open_trade():
return Trade(
pair='ETH/BTC',
open_rate=0.00001099,
exchange='binance',
open_order_id='123456789',
amount=90.99181073,
fee_open=0.0,
fee_close=0.0,
stake_amount=1,
open_date=arrow.utcnow().shift(minutes=-601).datetime,
is_open=True
)
@pytest.fixture(scope="function")
def open_trade_usdt():
return Trade(
pair='ADA/USDT',
open_rate=2.0,
exchange='binance',
open_order_id='123456789',
amount=30.0,
fee_open=0.0,
fee_close=0.0,
stake_amount=60.0,
open_date=arrow.utcnow().shift(minutes=-601).datetime,
is_open=True
)
@pytest.fixture
def saved_hyperopt_results():
hyperopt_res = [
{
'loss': 0.4366182531161519,
'params_dict': {
'mfi-value': 15, 'fastd-value': 20, 'adx-value': 25, 'rsi-value': 28, 'mfi-enabled': False, 'fastd-enabled': True, 'adx-enabled': True, 'rsi-enabled': True, 'trigger': 'macd_cross_signal', 'sell-mfi-value': 88, 'sell-fastd-value': 97, 'sell-adx-value': 51, 'sell-rsi-value': 67, 'sell-mfi-enabled': False, 'sell-fastd-enabled': False, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-bb_upper', 'roi_t1': 1190, 'roi_t2': 541, 'roi_t3': 408, 'roi_p1': 0.026035863879169705, 'roi_p2': 0.12508730043628782, 'roi_p3': 0.27766427921605896, 'stoploss': -0.2562930402099556}, # noqa: E501
'params_details': {'buy': {'mfi-value': 15, 'fastd-value': 20, 'adx-value': 25, 'rsi-value': 28, 'mfi-enabled': False, 'fastd-enabled': True, 'adx-enabled': True, 'rsi-enabled': True, 'trigger': 'macd_cross_signal'}, 'sell': {'sell-mfi-value': 88, 'sell-fastd-value': 97, 'sell-adx-value': 51, 'sell-rsi-value': 67, 'sell-mfi-enabled': False, 'sell-fastd-enabled': False, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-bb_upper'}, 'roi': {0: 0.4287874435315165, 408: 0.15112316431545753, 949: 0.026035863879169705, 2139: 0}, 'stoploss': {'stoploss': -0.2562930402099556}}, # noqa: E501
'results_metrics': {'total_trades': 2, 'wins': 0, 'draws': 0, 'losses': 2, 'profit_mean': -0.01254995, 'profit_median': -0.012222, 'profit_total': -0.00125625, 'profit_total_abs': -2.50999, 'holding_avg': timedelta(minutes=3930.0), 'stake_currency': 'BTC', 'strategy_name': 'SampleStrategy'}, # noqa: E501
'results_explanation': ' 2 trades. Avg profit -1.25%. Total profit -0.00125625 BTC ( -2.51Σ%). Avg duration 3930.0 min.', # noqa: E501
'total_profit': -0.00125625,
'current_epoch': 1,
'is_initial_point': True,
'is_best': True,
}, {
'loss': 20.0,
'params_dict': {
'mfi-value': 17, 'fastd-value': 38, 'adx-value': 48, 'rsi-value': 22, 'mfi-enabled': True, 'fastd-enabled': False, 'adx-enabled': True, 'rsi-enabled': True, 'trigger': 'macd_cross_signal', 'sell-mfi-value': 96, 'sell-fastd-value': 68, 'sell-adx-value': 63, 'sell-rsi-value': 81, 'sell-mfi-enabled': False, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-sar_reversal', 'roi_t1': 334, 'roi_t2': 683, 'roi_t3': 140, 'roi_p1': 0.06403981740598495, 'roi_p2': 0.055519840060645045, 'roi_p3': 0.3253712811342459, 'stoploss': -0.338070047333259}, # noqa: E501
'params_details': {
'buy': {'mfi-value': 17, 'fastd-value': 38, 'adx-value': 48, 'rsi-value': 22, 'mfi-enabled': True, 'fastd-enabled': False, 'adx-enabled': True, 'rsi-enabled': True, 'trigger': 'macd_cross_signal'}, # noqa: E501
'sell': {'sell-mfi-value': 96, 'sell-fastd-value': 68, 'sell-adx-value': 63, 'sell-rsi-value': 81, 'sell-mfi-enabled': False, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-sar_reversal'}, # noqa: E501
'roi': {0: 0.4449309386008759, 140: 0.11955965746663, 823: 0.06403981740598495, 1157: 0}, # noqa: E501
'stoploss': {'stoploss': -0.338070047333259}},
'results_metrics': {'total_trades': 1, 'wins': 0, 'draws': 0, 'losses': 1, 'profit_mean': 0.012357, 'profit_median': -0.012222, 'profit_total': 6.185e-05, 'profit_total_abs': 0.12357, 'holding_avg': timedelta(minutes=1200.0)}, # noqa: E501
'results_explanation': ' 1 trades. Avg profit 0.12%. Total profit 0.00006185 BTC ( 0.12Σ%). Avg duration 1200.0 min.', # noqa: E501
'total_profit': 6.185e-05,
'current_epoch': 2,
'is_initial_point': True,
'is_best': False
}, {
'loss': 14.241196856510731,
'params_dict': {'mfi-value': 25, 'fastd-value': 16, 'adx-value': 29, 'rsi-value': 20, 'mfi-enabled': False, 'fastd-enabled': False, 'adx-enabled': False, 'rsi-enabled': False, 'trigger': 'macd_cross_signal', 'sell-mfi-value': 98, 'sell-fastd-value': 72, 'sell-adx-value': 51, 'sell-rsi-value': 82, 'sell-mfi-enabled': True, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-macd_cross_signal', 'roi_t1': 889, 'roi_t2': 533, 'roi_t3': 263, 'roi_p1': 0.04759065393663096, 'roi_p2': 0.1488819964638463, 'roi_p3': 0.4102801822104605, 'stoploss': -0.05394588767607611}, # noqa: E501
'params_details': {'buy': {'mfi-value': 25, 'fastd-value': 16, 'adx-value': 29, 'rsi-value': 20, 'mfi-enabled': False, 'fastd-enabled': False, 'adx-enabled': False, 'rsi-enabled': False, 'trigger': 'macd_cross_signal'}, 'sell': {'sell-mfi-value': 98, 'sell-fastd-value': 72, 'sell-adx-value': 51, 'sell-rsi-value': 82, 'sell-mfi-enabled': True, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-macd_cross_signal'}, 'roi': {0: 0.6067528326109377, 263: 0.19647265040047726, 796: 0.04759065393663096, 1685: 0}, 'stoploss': {'stoploss': -0.05394588767607611}}, # noqa: E501
'results_metrics': {'total_trades': 621, 'wins': 320, 'draws': 0, 'losses': 301, 'profit_mean': -0.043883302093397747, 'profit_median': -0.012222, 'profit_total': -0.13639474, 'profit_total_abs': -272.515306, 'holding_avg': timedelta(minutes=1691.207729468599)}, # noqa: E501
'results_explanation': ' 621 trades. Avg profit -0.44%. Total profit -0.13639474 BTC (-272.52Σ%). Avg duration 1691.2 min.', # noqa: E501
'total_profit': -0.13639474,
'current_epoch': 3,
'is_initial_point': True,
'is_best': False
}, {
'loss': 100000,
'params_dict': {'mfi-value': 13, 'fastd-value': 35, 'adx-value': 39, 'rsi-value': 29, 'mfi-enabled': True, 'fastd-enabled': False, 'adx-enabled': False, 'rsi-enabled': True, 'trigger': 'macd_cross_signal', 'sell-mfi-value': 87, 'sell-fastd-value': 54, 'sell-adx-value': 63, 'sell-rsi-value': 93, 'sell-mfi-enabled': False, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-bb_upper', 'roi_t1': 1402, 'roi_t2': 676, 'roi_t3': 215, 'roi_p1': 0.06264755784937427, 'roi_p2': 0.14258587851894644, 'roi_p3': 0.20671291201040828, 'stoploss': -0.11818343570194478}, # noqa: E501
'params_details': {'buy': {'mfi-value': 13, 'fastd-value': 35, 'adx-value': 39, 'rsi-value': 29, 'mfi-enabled': True, 'fastd-enabled': False, 'adx-enabled': False, 'rsi-enabled': True, 'trigger': 'macd_cross_signal'}, 'sell': {'sell-mfi-value': 87, 'sell-fastd-value': 54, 'sell-adx-value': 63, 'sell-rsi-value': 93, 'sell-mfi-enabled': False, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-bb_upper'}, 'roi': {0: 0.411946348378729, 215: 0.2052334363683207, 891: 0.06264755784937427, 2293: 0}, 'stoploss': {'stoploss': -0.11818343570194478}}, # noqa: E501
'results_metrics': {'total_trades': 0, 'wins': 0, 'draws': 0, 'losses': 0, 'profit_mean': None, 'profit_median': None, 'profit_total': 0, 'profit': 0.0, 'holding_avg': timedelta()}, # noqa: E501
'results_explanation': ' 0 trades. Avg profit nan%. Total profit 0.00000000 BTC ( 0.00Σ%). Avg duration nan min.', # noqa: E501
'total_profit': 0, 'current_epoch': 4, 'is_initial_point': True, 'is_best': False
}, {
'loss': 0.22195522184191518,
'params_dict': {'mfi-value': 17, 'fastd-value': 21, 'adx-value': 38, 'rsi-value': 33, 'mfi-enabled': True, 'fastd-enabled': False, 'adx-enabled': True, 'rsi-enabled': False, 'trigger': 'macd_cross_signal', 'sell-mfi-value': 87, 'sell-fastd-value': 82, 'sell-adx-value': 78, 'sell-rsi-value': 69, 'sell-mfi-enabled': True, 'sell-fastd-enabled': False, 'sell-adx-enabled': True, 'sell-rsi-enabled': False, 'sell-trigger': 'sell-macd_cross_signal', 'roi_t1': 1269, 'roi_t2': 601, 'roi_t3': 444, 'roi_p1': 0.07280999507931168, 'roi_p2': 0.08946698095898986, 'roi_p3': 0.1454876733325284, 'stoploss': -0.18181041180901014}, # noqa: E501
'params_details': {'buy': {'mfi-value': 17, 'fastd-value': 21, 'adx-value': 38, 'rsi-value': 33, 'mfi-enabled': True, 'fastd-enabled': False, 'adx-enabled': True, 'rsi-enabled': False, 'trigger': 'macd_cross_signal'}, 'sell': {'sell-mfi-value': 87, 'sell-fastd-value': 82, 'sell-adx-value': 78, 'sell-rsi-value': 69, 'sell-mfi-enabled': True, 'sell-fastd-enabled': False, 'sell-adx-enabled': True, 'sell-rsi-enabled': False, 'sell-trigger': 'sell-macd_cross_signal'}, 'roi': {0: 0.3077646493708299, 444: 0.16227697603830155, 1045: 0.07280999507931168, 2314: 0}, 'stoploss': {'stoploss': -0.18181041180901014}}, # noqa: E501
'results_metrics': {'total_trades': 14, 'wins': 6, 'draws': 0, 'losses': 8, 'profit_mean': -0.003539515, 'profit_median': -0.012222, 'profit_total': -0.002480140000000001, 'profit_total_abs': -4.955321, 'holding_avg': timedelta(minutes=3402.8571428571427)}, # noqa: E501
'results_explanation': ' 14 trades. Avg profit -0.35%. Total profit -0.00248014 BTC ( -4.96Σ%). Avg duration 3402.9 min.', # noqa: E501
'total_profit': -0.002480140000000001,
'current_epoch': 5,
'is_initial_point': True,
'is_best': True
}, {
'loss': 0.545315889154162,
'params_dict': {'mfi-value': 22, 'fastd-value': 43, 'adx-value': 46, 'rsi-value': 20, 'mfi-enabled': False, 'fastd-enabled': False, 'adx-enabled': True, 'rsi-enabled': True, 'trigger': 'bb_lower', 'sell-mfi-value': 87, 'sell-fastd-value': 65, 'sell-adx-value': 94, 'sell-rsi-value': 63, 'sell-mfi-enabled': False, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-macd_cross_signal', 'roi_t1': 319, 'roi_t2': 556, 'roi_t3': 216, 'roi_p1': 0.06251955472249589, 'roi_p2': 0.11659519602202795, 'roi_p3': 0.0953744132197762, 'stoploss': -0.024551752215582423}, # noqa: E501
'params_details': {'buy': {'mfi-value': 22, 'fastd-value': 43, 'adx-value': 46, 'rsi-value': 20, 'mfi-enabled': False, 'fastd-enabled': False, 'adx-enabled': True, 'rsi-enabled': True, 'trigger': 'bb_lower'}, 'sell': {'sell-mfi-value': 87, 'sell-fastd-value': 65, 'sell-adx-value': 94, 'sell-rsi-value': 63, 'sell-mfi-enabled': False, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-macd_cross_signal'}, 'roi': {0: 0.2744891639643, 216: 0.17911475074452382, 772: 0.06251955472249589, 1091: 0}, 'stoploss': {'stoploss': -0.024551752215582423}}, # noqa: E501
'results_metrics': {'total_trades': 39, 'wins': 20, 'draws': 0, 'losses': 19, 'profit_mean': -0.0021400679487179478, 'profit_median': -0.012222, 'profit_total': -0.0041773, 'profit_total_abs': -8.346264999999997, 'holding_avg': timedelta(minutes=636.9230769230769)}, # noqa: E501
'results_explanation': ' 39 trades. Avg profit -0.21%. Total profit -0.00417730 BTC ( -8.35Σ%). Avg duration 636.9 min.', # noqa: E501
'total_profit': -0.0041773,
'current_epoch': 6,
'is_initial_point': True,
'is_best': False
}, {
'loss': 4.713497421432944,
'params_dict': {'mfi-value': 13, 'fastd-value': 41, 'adx-value': 21, 'rsi-value': 29, 'mfi-enabled': False, 'fastd-enabled': True, 'adx-enabled': False, 'rsi-enabled': False, 'trigger': 'bb_lower', 'sell-mfi-value': 99, 'sell-fastd-value': 60, 'sell-adx-value': 81, 'sell-rsi-value': 69, 'sell-mfi-enabled': True, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': False, 'sell-trigger': 'sell-macd_cross_signal', 'roi_t1': 771, 'roi_t2': 620, 'roi_t3': 145, 'roi_p1': 0.0586919200378493, 'roi_p2': 0.04984118697312542, 'roi_p3': 0.37521058680247044, 'stoploss': -0.14613268022709905}, # noqa: E501
'params_details': {
'buy': {'mfi-value': 13, 'fastd-value': 41, 'adx-value': 21, 'rsi-value': 29, 'mfi-enabled': False, 'fastd-enabled': True, 'adx-enabled': False, 'rsi-enabled': False, 'trigger': 'bb_lower'}, 'sell': {'sell-mfi-value': 99, 'sell-fastd-value': 60, 'sell-adx-value': 81, 'sell-rsi-value': 69, 'sell-mfi-enabled': True, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': False, 'sell-trigger': 'sell-macd_cross_signal'}, 'roi': {0: 0.4837436938134452, 145: 0.10853310701097472, 765: 0.0586919200378493, 1536: 0}, # noqa: E501
'stoploss': {'stoploss': -0.14613268022709905}}, # noqa: E501
'results_metrics': {'total_trades': 318, 'wins': 100, 'draws': 0, 'losses': 218, 'profit_mean': -0.0039833954716981146, 'profit_median': -0.012222, 'profit_total': -0.06339929, 'profit_total_abs': -126.67197600000004, 'holding_avg': timedelta(minutes=3140.377358490566)}, # noqa: E501
'results_explanation': ' 318 trades. Avg profit -0.40%. Total profit -0.06339929 BTC (-126.67Σ%). Avg duration 3140.4 min.', # noqa: E501
'total_profit': -0.06339929,
'current_epoch': 7,
'is_initial_point': True,
'is_best': False
}, {
'loss': 20.0, # noqa: E501
'params_dict': {'mfi-value': 24, 'fastd-value': 43, 'adx-value': 33, 'rsi-value': 20, 'mfi-enabled': False, 'fastd-enabled': True, 'adx-enabled': True, 'rsi-enabled': True, 'trigger': 'sar_reversal', 'sell-mfi-value': 89, 'sell-fastd-value': 74, 'sell-adx-value': 70, 'sell-rsi-value': 70, 'sell-mfi-enabled': False, 'sell-fastd-enabled': False, 'sell-adx-enabled': False, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-sar_reversal', 'roi_t1': 1149, 'roi_t2': 375, 'roi_t3': 289, 'roi_p1': 0.05571820757172588, 'roi_p2': 0.0606240398618907, 'roi_p3': 0.1729012220156157, 'stoploss': -0.1588514289110401}, # noqa: E501
'params_details': {'buy': {'mfi-value': 24, 'fastd-value': 43, 'adx-value': 33, 'rsi-value': 20, 'mfi-enabled': False, 'fastd-enabled': True, 'adx-enabled': True, 'rsi-enabled': True, 'trigger': 'sar_reversal'}, 'sell': {'sell-mfi-value': 89, 'sell-fastd-value': 74, 'sell-adx-value': 70, 'sell-rsi-value': 70, 'sell-mfi-enabled': False, 'sell-fastd-enabled': False, 'sell-adx-enabled': False, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-sar_reversal'}, 'roi': {0: 0.2892434694492323, 289: 0.11634224743361658, 664: 0.05571820757172588, 1813: 0}, 'stoploss': {'stoploss': -0.1588514289110401}}, # noqa: E501
'results_metrics': {'total_trades': 1, 'wins': 0, 'draws': 1, 'losses': 0, 'profit_mean': 0.0, 'profit_median': 0.0, 'profit_total': 0.0, 'profit_total_abs': 0.0, 'holding_avg': timedelta(minutes=5340.0)}, # noqa: E501
'results_explanation': ' 1 trades. Avg profit 0.00%. Total profit 0.00000000 BTC ( 0.00Σ%). Avg duration 5340.0 min.', # noqa: E501
'total_profit': 0.0,
'current_epoch': 8,
'is_initial_point': True,
'is_best': False
}, {
'loss': 2.4731817780991223,
'params_dict': {'mfi-value': 22, 'fastd-value': 20, 'adx-value': 29, 'rsi-value': 40, 'mfi-enabled': False, 'fastd-enabled': False, 'adx-enabled': False, 'rsi-enabled': False, 'trigger': 'sar_reversal', 'sell-mfi-value': 97, 'sell-fastd-value': 65, 'sell-adx-value': 81, 'sell-rsi-value': 64, 'sell-mfi-enabled': True, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-bb_upper', 'roi_t1': 1012, 'roi_t2': 584, 'roi_t3': 422, 'roi_p1': 0.036764323603472565, 'roi_p2': 0.10335480573205287, 'roi_p3': 0.10322347377503042, 'stoploss': -0.2780610808108503}, # noqa: E501
'params_details': {'buy': {'mfi-value': 22, 'fastd-value': 20, 'adx-value': 29, 'rsi-value': 40, 'mfi-enabled': False, 'fastd-enabled': False, 'adx-enabled': False, 'rsi-enabled': False, 'trigger': 'sar_reversal'}, 'sell': {'sell-mfi-value': 97, 'sell-fastd-value': 65, 'sell-adx-value': 81, 'sell-rsi-value': 64, 'sell-mfi-enabled': True, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-bb_upper'}, 'roi': {0: 0.2433426031105559, 422: 0.14011912933552545, 1006: 0.036764323603472565, 2018: 0}, 'stoploss': {'stoploss': -0.2780610808108503}}, # noqa: E501
'results_metrics': {'total_trades': 229, 'wins': 150, 'draws': 0, 'losses': 79, 'profit_mean': -0.0038433433624454144, 'profit_median': -0.012222, 'profit_total': -0.044050070000000004, 'profit_total_abs': -88.01256299999999, 'holding_avg': timedelta(minutes=6505.676855895196)}, # noqa: E501
'results_explanation': ' 229 trades. Avg profit -0.38%. Total profit -0.04405007 BTC ( -88.01Σ%). Avg duration 6505.7 min.', # noqa: E501
'total_profit': -0.044050070000000004, # noqa: E501
'current_epoch': 9,
'is_initial_point': True,
'is_best': False
}, {
'loss': -0.2604606005845212, # noqa: E501
'params_dict': {'mfi-value': 23, 'fastd-value': 24, 'adx-value': 22, 'rsi-value': 24, 'mfi-enabled': False, 'fastd-enabled': False, 'adx-enabled': False, 'rsi-enabled': True, 'trigger': 'macd_cross_signal', 'sell-mfi-value': 97, 'sell-fastd-value': 70, 'sell-adx-value': 64, 'sell-rsi-value': 80, 'sell-mfi-enabled': False, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-sar_reversal', 'roi_t1': 792, 'roi_t2': 464, 'roi_t3': 215, 'roi_p1': 0.04594053535385903, 'roi_p2': 0.09623192684243963, 'roi_p3': 0.04428219070850663, 'stoploss': -0.16992287161634415}, # noqa: E501
'params_details': {'buy': {'mfi-value': 23, 'fastd-value': 24, 'adx-value': 22, 'rsi-value': 24, 'mfi-enabled': False, 'fastd-enabled': False, 'adx-enabled': False, 'rsi-enabled': True, 'trigger': 'macd_cross_signal'}, 'sell': {'sell-mfi-value': 97, 'sell-fastd-value': 70, 'sell-adx-value': 64, 'sell-rsi-value': 80, 'sell-mfi-enabled': False, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-sar_reversal'}, 'roi': {0: 0.18645465290480528, 215: 0.14217246219629864, 679: 0.04594053535385903, 1471: 0}, 'stoploss': {'stoploss': -0.16992287161634415}}, # noqa: E501
'results_metrics': {'total_trades': 4, 'wins': 0, 'draws': 0, 'losses': 4, 'profit_mean': 0.001080385, 'profit_median': -0.012222, 'profit_total': 0.00021629, 'profit_total_abs': 0.432154, 'holding_avg': timedelta(minutes=2850.0)}, # noqa: E501
'results_explanation': ' 4 trades. Avg profit 0.11%. Total profit 0.00021629 BTC ( 0.43Σ%). Avg duration 2850.0 min.', # noqa: E501
'total_profit': 0.00021629,
'current_epoch': 10,
'is_initial_point': True,
'is_best': True
}, {
'loss': 4.876465945994304, # noqa: E501
'params_dict': {'mfi-value': 20, 'fastd-value': 32, 'adx-value': 49, 'rsi-value': 23, 'mfi-enabled': True, 'fastd-enabled': True, 'adx-enabled': False, 'rsi-enabled': False, 'trigger': 'bb_lower', 'sell-mfi-value': 75, 'sell-fastd-value': 56, 'sell-adx-value': 61, 'sell-rsi-value': 62, 'sell-mfi-enabled': False, 'sell-fastd-enabled': False, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-macd_cross_signal', 'roi_t1': 579, 'roi_t2': 614, 'roi_t3': 273, 'roi_p1': 0.05307643172744114, 'roi_p2': 0.1352282078262871, 'roi_p3': 0.1913307406325751, 'stoploss': -0.25728526022513887}, # noqa: E501
'params_details': {'buy': {'mfi-value': 20, 'fastd-value': 32, 'adx-value': 49, 'rsi-value': 23, 'mfi-enabled': True, 'fastd-enabled': True, 'adx-enabled': False, 'rsi-enabled': False, 'trigger': 'bb_lower'}, 'sell': {'sell-mfi-value': 75, 'sell-fastd-value': 56, 'sell-adx-value': 61, 'sell-rsi-value': 62, 'sell-mfi-enabled': False, 'sell-fastd-enabled': False, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-macd_cross_signal'}, 'roi': {0: 0.3796353801863034, 273: 0.18830463955372825, 887: 0.05307643172744114, 1466: 0}, 'stoploss': {'stoploss': -0.25728526022513887}}, # noqa: E501
# New Hyperopt mode!
'results_metrics': {'total_trades': 117, 'wins': 67, 'draws': 0, 'losses': 50, 'profit_mean': -0.012698609145299145, 'profit_median': -0.012222, 'profit_total': -0.07436117, 'profit_total_abs': -148.573727, 'holding_avg': timedelta(minutes=4282.5641025641025)}, # noqa: E501
'results_explanation': ' 117 trades. Avg profit -1.27%. Total profit -0.07436117 BTC (-148.57Σ%). Avg duration 4282.6 min.', # noqa: E501
'total_profit': -0.07436117,
'current_epoch': 11,
'is_initial_point': True,
'is_best': False
}, {
'loss': 100000,
'params_dict': {'mfi-value': 10, 'fastd-value': 36, 'adx-value': 31, 'rsi-value': 22, 'mfi-enabled': True, 'fastd-enabled': True, 'adx-enabled': True, 'rsi-enabled': False, 'trigger': 'sar_reversal', 'sell-mfi-value': 80, 'sell-fastd-value': 71, 'sell-adx-value': 60, 'sell-rsi-value': 85, 'sell-mfi-enabled': False, 'sell-fastd-enabled': False, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-bb_upper', 'roi_t1': 1156, 'roi_t2': 581, 'roi_t3': 408, 'roi_p1': 0.06860454019988212, 'roi_p2': 0.12473718444931989, 'roi_p3': 0.2896360635226823, 'stoploss': -0.30889015124682806}, # noqa: E501
'params_details': {'buy': {'mfi-value': 10, 'fastd-value': 36, 'adx-value': 31, 'rsi-value': 22, 'mfi-enabled': True, 'fastd-enabled': True, 'adx-enabled': True, 'rsi-enabled': False, 'trigger': 'sar_reversal'}, 'sell': {'sell-mfi-value': 80, 'sell-fastd-value': 71, 'sell-adx-value': 60, 'sell-rsi-value': 85, 'sell-mfi-enabled': False, 'sell-fastd-enabled': False, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-bb_upper'}, 'roi': {0: 0.4829777881718843, 408: 0.19334172464920202, 989: 0.06860454019988212, 2145: 0}, 'stoploss': {'stoploss': -0.30889015124682806}}, # noqa: E501
'results_metrics': {'total_trades': 0, 'wins': 0, 'draws': 0, 'losses': 0, 'profit_mean': None, 'profit_median': None, 'profit_total': 0, 'profit_total_abs': 0.0, 'holding_avg': timedelta()}, # noqa: E501
'results_explanation': ' 0 trades. Avg profit nan%. Total profit 0.00000000 BTC ( 0.00Σ%). Avg duration nan min.', # noqa: E501
'total_profit': 0,
'current_epoch': 12,
'is_initial_point': True,
'is_best': False
}
]
for res in hyperopt_res:
res['results_metrics']['holding_avg_s'] = res['results_metrics']['holding_avg'
].total_seconds()
return hyperopt_res
@pytest.fixture(scope='function')
def limit_buy_order_usdt_open():
return {
'id': 'mocked_limit_buy_usdt',
'type': 'limit',
'side': 'buy',
'symbol': 'mocked',
'datetime': arrow.utcnow().isoformat(),
'timestamp': arrow.utcnow().int_timestamp,
'price': 2.00,
'amount': 30.0,
'filled': 0.0,
'cost': 60.0,
'remaining': 30.0,
'status': 'open'
}
@pytest.fixture(scope='function')
def limit_buy_order_usdt(limit_buy_order_usdt_open):
order = deepcopy(limit_buy_order_usdt_open)
order['status'] = 'closed'
order['filled'] = order['amount']
order['remaining'] = 0.0
return order
@pytest.fixture
def limit_sell_order_usdt_open():
return {
'id': 'mocked_limit_sell_usdt',
'type': 'limit',
'side': 'sell',
'pair': 'mocked',
'datetime': arrow.utcnow().isoformat(),
'timestamp': arrow.utcnow().int_timestamp,
'price': 2.20,
'amount': 30.0,
'cost': 66.0,
'filled': 0.0,
'remaining': 30.0,
'status': 'open'
}
@pytest.fixture
def limit_sell_order_usdt(limit_sell_order_usdt_open):
order = deepcopy(limit_sell_order_usdt_open)
order['remaining'] = 0.0
order['filled'] = order['amount']
order['status'] = 'closed'
return order
@pytest.fixture(scope='function')
def market_buy_order_usdt():
return {
'id': 'mocked_market_buy',
'type': 'market',
'side': 'buy',
'symbol': 'mocked',
'datetime': arrow.utcnow().isoformat(),
'price': 2.00,
'amount': 30.0,
'filled': 30.0,
'remaining': 0.0,
'status': 'closed'
}
@pytest.fixture
def market_sell_order_usdt():
return {
'id': 'mocked_limit_sell',
'type': 'market',
'side': 'sell',
'symbol': 'mocked',
'datetime': arrow.utcnow().isoformat(),
'price': 2.20,
'amount': 30.0,
'filled': 30.0,
'remaining': 0.0,
'status': 'closed'
}
@pytest.fixture(scope='function')
def limit_order(limit_buy_order_usdt, limit_sell_order_usdt):
return {
'buy': limit_buy_order_usdt,
'sell': limit_sell_order_usdt
}
@pytest.fixture(scope='function')
def market_order(market_buy_order_usdt, market_sell_order_usdt):
return {
'buy': market_buy_order_usdt,
'sell': market_sell_order_usdt
}
@pytest.fixture(scope='function')
def limit_order_open(limit_buy_order_usdt_open, limit_sell_order_usdt_open):
return {
'buy': limit_buy_order_usdt_open,
'sell': limit_sell_order_usdt_open
}
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