stable/tests/conftest.py

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# pragma pylint: disable=missing-docstring
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import json
import logging
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import re
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from copy import deepcopy
from datetime import datetime, timedelta
from functools import reduce
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from pathlib import Path
from typing import Optional, Tuple
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from unittest.mock import MagicMock, Mock, PropertyMock
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import arrow
import numpy as np
import pytest
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from telegram import Chat, Message, Update
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from freqtrade import constants
from freqtrade.commands import Arguments
from freqtrade.data.converter import ohlcv_to_dataframe
from freqtrade.edge import Edge, PairInfo
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from freqtrade.enums import Collateral, RunMode, TradingMode
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from freqtrade.enums.signaltype import SignalDirection
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from freqtrade.exchange import Exchange
from freqtrade.freqtradebot import FreqtradeBot
from freqtrade.persistence import LocalTrade, Trade, init_db
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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)
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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)
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logging.getLogger('').setLevel(logging.INFO)
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# 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')
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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)
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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),
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False)
def get_args(args):
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return Arguments(args).get_parsed_arg()
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# Source: https://stackoverflow.com/questions/29881236/how-to-mock-asyncio-coroutines
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def get_mock_coro(return_value):
async def mock_coro(*args, **kwargs):
return return_value
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return Mock(wraps=mock_coro)
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def patched_configuration_load_config_file(mocker, config) -> None:
mocker.patch(
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'freqtrade.configuration.configuration.load_config_file',
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lambda *args, **kwargs: config
)
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def patch_exchange(
mocker,
api_mock=None,
id='binance',
mock_markets=True,
mock_supported_modes=True
) -> None:
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mocker.patch('freqtrade.exchange.Exchange._load_async_markets', MagicMock(return_value={}))
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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))
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if mock_markets:
if isinstance(mock_markets, bool):
mock_markets = get_markets()
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mocker.patch('freqtrade.exchange.Exchange.markets',
PropertyMock(return_value=mock_markets))
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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)
])
)
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if api_mock:
mocker.patch('freqtrade.exchange.Exchange._init_ccxt', MagicMock(return_value=api_mock))
else:
mocker.patch('freqtrade.exchange.Exchange._init_ccxt', MagicMock())
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def get_patched_exchange(mocker, config, api_mock=None, id='binance',
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mock_markets=True, mock_supported_modes=True) -> Exchange:
patch_exchange(mocker, api_mock, id, mock_markets, mock_supported_modes)
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config['exchange']['name'] = id
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try:
exchange = ExchangeResolver.load_exchange(id, config)
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except ImportError:
exchange = Exchange(config)
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return exchange
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def patch_wallet(mocker, free=999.9) -> None:
mocker.patch('freqtrade.wallets.Wallets.get_free', MagicMock(
return_value=free
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))
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def patch_whitelist(mocker, conf) -> None:
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mocker.patch('freqtrade.freqtradebot.FreqtradeBot._refresh_active_whitelist',
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MagicMock(return_value=conf['exchange']['pair_whitelist']))
def patch_edge(mocker) -> None:
# "ETH/BTC",
# "LTC/BTC",
# "XRP/BTC",
# "NEO/BTC"
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mocker.patch('freqtrade.edge.Edge._cached_pairs', mocker.PropertyMock(
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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),
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}
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))
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mocker.patch('freqtrade.edge.Edge.calculate', MagicMock(return_value=True))
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def get_patched_edge(mocker, config) -> Edge:
patch_edge(mocker)
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edge = Edge(config)
return edge
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# Functions for recurrent object patching
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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())
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init_db(config['db_url'])
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patch_exchange(mocker)
mocker.patch('freqtrade.freqtradebot.RPCManager._init', MagicMock())
mocker.patch('freqtrade.freqtradebot.RPCManager.send_msg', MagicMock())
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patch_whitelist(mocker, config)
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def get_patched_freqtradebot(mocker, config) -> FreqtradeBot:
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"""
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
"""
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patch_freqtradebot(mocker, config)
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config['datadir'] = Path(config['datadir'])
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return FreqtradeBot(config)
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def get_patched_worker(mocker, config) -> Worker:
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"""
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
"""
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patch_freqtradebot(mocker, config)
return Worker(args=None, config=config)
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def patch_get_signal(
freqtrade: FreqtradeBot,
enter_long=True,
exit_long=False,
enter_short=False,
exit_short=False,
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enter_tag: Optional[str] = None,
exit_tag: Optional[str] = None,
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) -> None:
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"""
:param mocker: mocker to patch IStrategy class
:param value: which value IStrategy.get_signal() must return
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(buy, sell, buy_tag)
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:return: None
"""
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# returns (Signal-direction, signaname)
def patched_get_entry_signal(*args, **kwargs):
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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
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def patched_get_exit_signal(pair, timeframe, dataframe, is_short):
if is_short:
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return enter_short, exit_short, exit_tag
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else:
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return enter_long, exit_long, exit_tag
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# returns (enter, exit)
freqtrade.strategy.get_exit_signal = patched_get_exit_signal
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freqtrade.exchange.refresh_latest_ohlcv = lambda p: None
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def create_mock_trades(fee, is_short: bool = False, use_db: bool = True):
"""
Create some fake trades ...
"""
def add_trade(trade):
if use_db:
Trade.query.session.add(trade)
else:
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LocalTrade.add_bt_trade(trade)
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# Simulate dry_run entries
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trade = mock_trade_1(fee, is_short)
add_trade(trade)
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trade = mock_trade_2(fee, is_short)
add_trade(trade)
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trade = mock_trade_3(fee, is_short)
add_trade(trade)
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trade = mock_trade_4(fee, is_short)
add_trade(trade)
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trade = mock_trade_5(fee, is_short)
add_trade(trade)
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trade = mock_trade_6(fee, is_short)
add_trade(trade)
if use_db:
Trade.commit()
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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)
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# Simulate dry_run entries
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trade = mock_trade_1(fee, False)
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add_trade(trade)
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trade = mock_trade_2(fee, False)
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add_trade(trade)
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trade = mock_trade_3(fee, False)
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add_trade(trade)
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trade = mock_trade_4(fee, False)
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add_trade(trade)
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trade = mock_trade_5(fee, False)
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add_trade(trade)
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trade = mock_trade_6(fee, False)
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add_trade(trade)
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trade = short_trade(fee)
add_trade(trade)
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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)
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# 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)
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if use_db:
Trade.commit()
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def get_sides(is_short: bool) -> Tuple[str, str]:
return ("sell", "buy") if is_short else ("buy", "sell")
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@pytest.fixture(autouse=True)
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def patch_coingekko(mocker) -> None:
"""
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Mocker to coingekko to speed up tests
:param mocker: mocker to patch coingekko class
:return: None
"""
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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'}
])
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mocker.patch.multiple(
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'freqtrade.rpc.fiat_convert.CoinGeckoAPI',
get_price=tickermock,
get_coins_list=listmock,
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)
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@pytest.fixture(scope='function')
def init_persistence(default_conf):
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init_db(default_conf['db_url'], default_conf['dry_run'])
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@pytest.fixture(scope="function")
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def default_conf(testdatadir):
return get_default_conf(testdatadir)
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@pytest.fixture(scope="function")
def default_conf_usdt(testdatadir):
return get_default_conf_usdt(testdatadir)
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def get_default_conf(testdatadir):
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""" Returns validated configuration suitable for most tests """
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configuration = {
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"max_open_trades": 1,
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"stake_currency": "BTC",
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"stake_amount": 0.001,
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"fiat_display_currency": "USD",
"timeframe": '5m',
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"dry_run": True,
"cancel_open_orders_on_exit": False,
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"minimal_roi": {
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"40": 0.0,
"30": 0.01,
"20": 0.02,
"0": 0.04
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},
"dry_run_wallet": 1000,
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"stoploss": -0.10,
"unfilledtimeout": {
"buy": 10,
"sell": 30
},
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"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,
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},
"exchange": {
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"name": "binance",
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"enabled": True,
"key": "key",
"secret": "secret",
"pair_whitelist": [
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"ETH/BTC",
"LTC/BTC",
"XRP/BTC",
"NEO/BTC"
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],
"pair_blacklist": [
"DOGE/BTC",
"HOT/BTC",
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]
},
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"pairlists": [
{"method": "StaticPairList"}
],
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"telegram": {
"enabled": True,
"token": "token",
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"chat_id": "0",
"notification_settings": {},
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},
"datadir": str(testdatadir),
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"initial_state": "running",
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"db_url": "sqlite://",
"user_data_dir": Path("user_data"),
"verbosity": 3,
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"strategy_path": str(Path(__file__).parent / "strategy" / "strats"),
"strategy": CURRENT_TEST_STRATEGY,
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"disableparamexport": True,
"internals": {},
"export": "none",
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}
return configuration
def get_default_conf_usdt(testdatadir):
configuration = get_default_conf(testdatadir)
configuration.update({
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"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
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@pytest.fixture
def update():
_update = Update(0)
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_update.message = Message(0, datetime.utcnow(), Chat(0, 0))
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return _update
@pytest.fixture
def fee():
return MagicMock(return_value=0.0025)
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@pytest.fixture
def ticker():
return MagicMock(return_value={
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'bid': 0.00001098,
'ask': 0.00001099,
'last': 0.00001098,
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})
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@pytest.fixture
def ticker_sell_up():
return MagicMock(return_value={
'bid': 0.00001172,
'ask': 0.00001173,
'last': 0.00001172,
})
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@pytest.fixture
def ticker_sell_down():
return MagicMock(return_value={
'bid': 0.00001044,
'ask': 0.00001043,
'last': 0.00001044,
})
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@pytest.fixture
def ticker_usdt():
return MagicMock(return_value={
'bid': 2.0,
'ask': 2.02,
'last': 2.0,
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})
@pytest.fixture
def ticker_usdt_sell_up():
return MagicMock(return_value={
'bid': 2.2,
'ask': 2.3,
'last': 2.2,
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})
@pytest.fixture
def ticker_usdt_sell_down():
return MagicMock(return_value={
'bid': 2.01,
'ask': 2.0,
'last': 2.01,
})
@pytest.fixture
def markets():
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return get_markets()
def get_markets():
# See get_markets_static() for immutable markets and do not modify them unless absolutely
# necessary!
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return {
'ETH/BTC': {
'id': 'ethbtc',
'symbol': 'ETH/BTC',
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'base': 'ETH',
'quote': 'BTC',
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'active': True,
'precision': {
'price': 8,
'amount': 8,
'cost': 8,
},
'lot': 0.00000001,
'limits': {
'amount': {
'min': 0.01,
'max': 1000,
},
'price': 500000,
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'cost': {
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'min': 0.0001,
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'max': 500000,
},
'leverage': {
'min': 1.0,
'max': 2.0
}
},
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},
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'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,
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'cost': {
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'min': 0.0001,
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'max': 500000,
},
'leverage': {
'min': 1.0,
'max': 5.0
}
},
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},
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'BLK/BTC': {
'id': 'blkbtc',
'symbol': 'BLK/BTC',
'base': 'BLK',
'quote': 'BTC',
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'active': True,
'precision': {
'price': 8,
'amount': 8,
'cost': 8,
},
'lot': 0.00000001,
'limits': {
'amount': {
'min': 0.01,
'max': 1000,
},
'price': 500000,
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'cost': {
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'min': 0.0001,
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'max': 500000,
},
'leverage': {
'min': 1.0,
'max': 3.0
},
},
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},
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'LTC/BTC': {
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'id': 'ltcbtc',
'symbol': 'LTC/BTC',
'base': 'LTC',
'quote': 'BTC',
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'active': True,
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'precision': {
'price': 8,
'amount': 8,
'cost': 8,
},
'lot': 0.00000001,
'limits': {
'amount': {
'min': 0.01,
'max': 1000,
},
'price': 500000,
'cost': {
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'min': 0.0001,
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'max': 500000,
},
},
'info': {},
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},
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'XRP/BTC': {
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'id': 'xrpbtc',
'symbol': 'XRP/BTC',
'base': 'XRP',
'quote': 'BTC',
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'active': True,
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'precision': {
'price': 8,
'amount': 8,
'cost': 8,
},
'lot': 0.00000001,
'limits': {
'amount': {
'min': 0.01,
'max': 1000,
},
'price': 500000,
'cost': {
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'min': 0.0001,
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'max': 500000,
},
},
'info': {},
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},
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'NEO/BTC': {
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'id': 'neobtc',
'symbol': 'NEO/BTC',
'base': 'NEO',
'quote': 'BTC',
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'active': True,
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'precision': {
'price': 8,
'amount': 8,
'cost': 8,
},
'lot': 0.00000001,
'limits': {
'amount': {
'min': 0.01,
'max': 1000,
},
'price': 500000,
'cost': {
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'min': 0.0001,
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'max': 500000,
},
},
'info': {},
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},
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'BTT/BTC': {
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'id': 'BTTBTC',
'symbol': 'BTT/BTC',
'base': 'BTT',
'quote': 'BTC',
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'active': False,
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'precision': {
'base': 8,
'quote': 8,
'amount': 0,
'price': 8
},
'limits': {
'amount': {
'min': 1.0,
'max': 90000000.0
},
'price': {
'min': None,
'max': None
},
'cost': {
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'min': 0.0001,
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'max': None
}
},
'info': {},
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},
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'ETH/USDT': {
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'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': {},
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},
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'LTC/USDT': {
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'id': 'USDT-LTC',
'symbol': 'LTC/USDT',
'base': 'LTC',
'quote': 'USDT',
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'active': False,
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'precision': {
'amount': 8,
'price': 8
},
'limits': {
'amount': {
'min': 0.06646786,
'max': None
},
'price': {
'min': 1e-08,
'max': None
}
},
'info': {},
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},
'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': {},
},
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'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': {
}
},
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}
@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)
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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': {},
},
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'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
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},
'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=[])
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@pytest.fixture(scope='function')
def limit_buy_order_open():
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return {
'id': 'mocked_limit_buy',
'type': 'limit',
'side': 'buy',
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'symbol': 'mocked',
'datetime': arrow.utcnow().isoformat(),
'timestamp': arrow.utcnow().int_timestamp,
'price': 0.00001099,
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'amount': 90.99181073,
'filled': 0.0,
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'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
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@pytest.fixture(scope='function')
def market_buy_order():
return {
'id': 'mocked_market_buy',
'type': 'market',
'side': 'buy',
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'symbol': 'mocked',
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'datetime': arrow.utcnow().isoformat(),
'price': 0.00004099,
'amount': 91.99181073,
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'filled': 91.99181073,
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'remaining': 0.0,
'status': 'closed'
}
@pytest.fixture
def market_sell_order():
return {
'id': 'mocked_limit_sell',
'type': 'market',
'side': 'sell',
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'symbol': 'mocked',
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'datetime': arrow.utcnow().isoformat(),
'price': 0.00004173,
'amount': 91.99181073,
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'filled': 91.99181073,
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'remaining': 0.0,
'status': 'closed'
}
@pytest.fixture
def limit_buy_order_old():
return {
'id': 'mocked_limit_buy_old',
'type': 'limit',
'side': 'buy',
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'symbol': 'mocked',
'datetime': str(arrow.utcnow().shift(minutes=-601).datetime),
'price': 0.00001099,
'amount': 90.99181073,
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'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',
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'symbol': 'ETH/BTC',
'datetime': arrow.utcnow().shift(minutes=-601).isoformat(),
'price': 0.00001099,
'amount': 90.99181073,
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'filled': 0.0,
'remaining': 90.99181073,
'status': 'open'
}
@pytest.fixture
def limit_buy_order_old_partial():
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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'
}
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@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'}
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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
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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
}
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@pytest.fixture
def limit_sell_order_open():
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return {
'id': 'mocked_limit_sell',
'type': 'limit',
'side': 'sell',
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'pair': 'mocked',
'datetime': arrow.utcnow().isoformat(),
'timestamp': arrow.utcnow().int_timestamp,
'price': 0.00001173,
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'amount': 90.99181073,
'filled': 0.0,
'remaining': 90.99181073,
'status': 'open'
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}
@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
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@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
})
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@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]
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],
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'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
]
]
2018-12-11 18:48:36 +00:00
@pytest.fixture
def ohlcv_history(ohlcv_history_list):
return ohlcv_to_dataframe(ohlcv_history_list, "5m", pair="UNITTEST/BTC",
2020-12-15 19:49:46 +00:00
fill_missing=True, drop_incomplete=False)
2018-12-11 18:48:36 +00:00
2018-03-26 09:24:20 +00:00
@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,
2018-03-26 09:24:20 +00:00
'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': {}
},
2019-03-02 17:53:42 +00:00
'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': {}
},
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'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': {}
},
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'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': {}
},
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'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': {}
2019-11-14 19:12:41 +00:00
},
'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": {}
},
2020-07-21 18:34:19 +00:00
"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": {}
},
2018-03-26 09:24:20 +00:00
})
2018-01-28 07:38:41 +00:00
@pytest.fixture
2019-09-08 07:54:15 +00:00
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)
2018-01-28 07:38:41 +00:00
2018-04-15 17:56:33 +00:00
@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'
}
}]
2018-04-15 17:56:33 +00:00
2019-08-29 14:33:56 +00:00
@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]]
2020-04-01 04:53:04 +00:00
2020-04-02 06:20:50 +00:00
2020-04-01 04:53:04 +00:00
@pytest.fixture(scope="function")
def fetch_trades_result():
2019-08-29 14:33:56 +00:00
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,
2019-10-08 18:16:02 +00:00
'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,
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'fee': None}]
2018-04-15 17:56:33 +00:00
@pytest.fixture(scope="function")
def trades_for_order2():
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return [{'info': {},
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'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'}},
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{'info': {},
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'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',
2020-05-01 13:30:49 +00:00
'symbol': 'mocked',
'datetime': str(arrow.utcnow().shift(minutes=-601).datetime),
'price': 0.245441,
'amount': 8.0,
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'cost': 1.963528,
'remaining': 90.99181073,
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'status': 'closed',
'fee': None
}
2018-11-10 16:20:11 +00:00
@pytest.fixture(scope="function")
def edge_conf(default_conf):
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conf = deepcopy(default_conf)
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conf['runmode'] = RunMode.DRY_RUN
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conf['max_open_trades'] = -1
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conf['tradable_balance_ratio'] = 0.5
2019-05-20 17:35:19 +00:00
conf['stake_amount'] = constants.UNLIMITED_STAKE_AMOUNT
conf['edge'] = {
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"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
}
2021-07-04 06:11:59 +00:00
2019-05-20 17:35:19 +00:00
return conf
2019-05-11 07:10:54 +00:00
@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': {
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'total': 0.1,
'free': 0.01,
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'used': 0.0
2021-07-03 19:44:48 +00:00
},
2019-05-11 07:10:54 +00:00
'EUR': {
'total': 10.0,
'free': 10.0,
'used': 0.0
},
}
2019-09-07 18:34:25 +00:00
2019-09-07 18:56:03 +00:00
@pytest.fixture
def testdatadir() -> Path:
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"""Return the path where testdata files are stored"""
return (Path(__file__).parent / "testdata").resolve()
2019-09-25 09:54:57 +00:00
@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):
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if name in ["filelock", 'systemd.journal', 'uvloop']:
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raise ImportError(f"No module named '{name}'")
return realimport(name, *args, **kwargs)
2021-07-04 06:11:59 +00:00
2019-09-25 09:54:57 +00:00
builtins.__import__ = mockedimport
2021-07-04 06:11:59 +00:00
2019-09-25 09:54:57 +00:00
# Run test - then cleanup
yield
2021-07-04 06:11:59 +00:00
2019-09-25 09:54:57 +00:00
# restore previous importfunction
builtins.__import__ = realimport
@pytest.fixture(scope="function")
def open_trade():
return Trade(
pair='ETH/BTC',
open_rate=0.00001099,
2021-04-20 10:54:22 +00:00
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
)
2021-09-17 08:25:58 +00:00
@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
2021-06-30 18:21:33 +00:00
'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,
2021-06-30 18:21:33 +00:00
'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
}
]
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for res in hyperopt_res:
res['results_metrics']['holding_avg_s'] = res['results_metrics']['holding_avg'
].total_seconds()
return hyperopt_res
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@pytest.fixture(scope='function')
def limit_buy_order_usdt_open():
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return {
'id': 'mocked_limit_buy_usdt',
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'type': 'limit',
'side': 'buy',
'symbol': 'mocked',
'datetime': arrow.utcnow().isoformat(),
'timestamp': arrow.utcnow().int_timestamp,
'price': 2.00,
'amount': 30.0,
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'filled': 0.0,
'cost': 60.0,
'remaining': 30.0,
'status': 'open'
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}
@pytest.fixture(scope='function')
def limit_buy_order_usdt(limit_buy_order_usdt_open):
order = deepcopy(limit_buy_order_usdt_open)
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order['status'] = 'closed'
order['filled'] = order['amount']
order['remaining'] = 0.0
return order
@pytest.fixture
def limit_sell_order_usdt_open():
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return {
'id': 'mocked_limit_sell_usdt',
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'type': 'limit',
'side': 'sell',
'pair': 'mocked',
'datetime': arrow.utcnow().isoformat(),
'timestamp': arrow.utcnow().int_timestamp,
'price': 2.20,
'amount': 30.0,
'cost': 66.0,
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'filled': 0.0,
'remaining': 30.0,
'status': 'open'
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}
@pytest.fixture
def limit_sell_order_usdt(limit_sell_order_usdt_open):
order = deepcopy(limit_sell_order_usdt_open)
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order['remaining'] = 0.0
order['filled'] = order['amount']
order['status'] = 'closed'
return order
@pytest.fixture(scope='function')
def market_buy_order_usdt():
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return {
'id': 'mocked_market_buy',
'type': 'market',
'side': 'buy',
'symbol': 'mocked',
'datetime': arrow.utcnow().isoformat(),
'price': 2.00,
'amount': 30.0,
'filled': 30.0,
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'remaining': 0.0,
'status': 'closed'
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}
@pytest.fixture
def market_sell_order_usdt():
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return {
'id': 'mocked_limit_sell',
'type': 'market',
'side': 'sell',
'symbol': 'mocked',
'datetime': arrow.utcnow().isoformat(),
'price': 2.20,
'amount': 30.0,
'filled': 30.0,
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'remaining': 0.0,
'status': 'closed'
}
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@pytest.fixture(scope='function')
def limit_order(limit_buy_order_usdt, limit_sell_order_usdt):
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return {
'buy': limit_buy_order_usdt,
'sell': limit_sell_order_usdt
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}
@pytest.fixture(scope='function')
def market_order(market_buy_order_usdt, market_sell_order_usdt):
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return {
'buy': market_buy_order_usdt,
'sell': market_sell_order_usdt
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}
@pytest.fixture(scope='function')
def limit_order_open(limit_buy_order_usdt_open, limit_sell_order_usdt_open):
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return {
'buy': limit_buy_order_usdt_open,
'sell': limit_sell_order_usdt_open
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}
@pytest.fixture(scope='function')
def mark_ohlcv():
return [
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[1630454400000, 2.77, 2.77, 2.73, 2.73, 0],
[1630458000000, 2.73, 2.76, 2.72, 2.74, 0],
[1630461600000, 2.74, 2.76, 2.74, 2.76, 0],
[1630465200000, 2.76, 2.76, 2.74, 2.76, 0],
[1630468800000, 2.76, 2.77, 2.75, 2.77, 0],
[1630472400000, 2.77, 2.79, 2.75, 2.78, 0],
[1630476000000, 2.78, 2.80, 2.77, 2.77, 0],
[1630479600000, 2.78, 2.79, 2.77, 2.77, 0],
[1630483200000, 2.77, 2.79, 2.77, 2.78, 0],
[1630486800000, 2.77, 2.84, 2.77, 2.84, 0],
[1630490400000, 2.84, 2.85, 2.81, 2.81, 0],
[1630494000000, 2.81, 2.83, 2.81, 2.81, 0],
[1630497600000, 2.81, 2.84, 2.81, 2.82, 0],
[1630501200000, 2.82, 2.83, 2.81, 2.81, 0],
]
@pytest.fixture(scope='function')
def funding_rate_history_hourly():
return [
{
"symbol": "ADA/USDT",
"fundingRate": -0.000008,
"timestamp": 1630454400000,
"datetime": "2021-09-01T00:00:00.000Z"
},
{
"symbol": "ADA/USDT",
"fundingRate": -0.000004,
"timestamp": 1630458000000,
"datetime": "2021-09-01T01:00:00.000Z"
},
{
"symbol": "ADA/USDT",
"fundingRate": 0.000012,
"timestamp": 1630461600000,
"datetime": "2021-09-01T02:00:00.000Z"
},
{
"symbol": "ADA/USDT",
"fundingRate": -0.000003,
"timestamp": 1630465200000,
"datetime": "2021-09-01T03:00:00.000Z"
},
{
"symbol": "ADA/USDT",
"fundingRate": -0.000007,
"timestamp": 1630468800000,
"datetime": "2021-09-01T04:00:00.000Z"
},
{
"symbol": "ADA/USDT",
"fundingRate": 0.000003,
"timestamp": 1630472400000,
"datetime": "2021-09-01T05:00:00.000Z"
},
{
"symbol": "ADA/USDT",
"fundingRate": 0.000019,
"timestamp": 1630476000000,
"datetime": "2021-09-01T06:00:00.000Z"
},
{
"symbol": "ADA/USDT",
"fundingRate": 0.000003,
"timestamp": 1630479600000,
"datetime": "2021-09-01T07:00:00.000Z"
},
{
"symbol": "ADA/USDT",
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"fundingRate": -0.000003,
"timestamp": 1630483200000,
"datetime": "2021-09-01T08:00:00.000Z"
},
{
"symbol": "ADA/USDT",
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"fundingRate": 0,
"timestamp": 1630486800000,
"datetime": "2021-09-01T09:00:00.000Z"
},
{
"symbol": "ADA/USDT",
"fundingRate": 0.000013,
"timestamp": 1630490400000,
"datetime": "2021-09-01T10:00:00.000Z"
},
{
"symbol": "ADA/USDT",
"fundingRate": 0.000077,
"timestamp": 1630494000000,
"datetime": "2021-09-01T11:00:00.000Z"
},
{
"symbol": "ADA/USDT",
"fundingRate": 0.000072,
"timestamp": 1630497600000,
"datetime": "2021-09-01T12:00:00.000Z"
},
{
"symbol": "ADA/USDT",
"fundingRate": 0.000097,
"timestamp": 1630501200000,
"datetime": "2021-09-01T13:00:00.000Z"
},
]
@pytest.fixture(scope='function')
def funding_rate_history_octohourly():
return [
{
"symbol": "ADA/USDT",
"fundingRate": -0.000008,
"timestamp": 1630454400000,
"datetime": "2021-09-01T00:00:00.000Z"
},
{
"symbol": "ADA/USDT",
"fundingRate": -0.000003,
"timestamp": 1630483200000,
"datetime": "2021-09-01T08:00:00.000Z"
}
]