stable/tests/exchange/test_ccxt_compat.py
2023-02-22 20:58:24 +01:00

755 lines
29 KiB
Python

"""
Tests in this file do NOT mock network calls, so they are expected to be fluky at times.
However, these tests should give a good idea to determine if a new exchange is
suitable to run with freqtrade.
"""
from copy import deepcopy
from datetime import datetime, timedelta, timezone
from pathlib import Path
from typing import Tuple
import pytest
from freqtrade.constants import Config
from freqtrade.enums import CandleType
from freqtrade.exchange import timeframe_to_minutes, timeframe_to_prev_date
from freqtrade.exchange.exchange import Exchange, timeframe_to_msecs
from freqtrade.resolvers.exchange_resolver import ExchangeResolver
from tests.conftest import get_default_conf_usdt
EXCHANGE_FIXTURE_TYPE = Tuple[Exchange, str]
# Exchanges that should be tested
EXCHANGES = {
'bittrex': {
'pair': 'BTC/USDT',
'stake_currency': 'USDT',
'hasQuoteVolume': False,
'timeframe': '1h',
'leverage_tiers_public': False,
'leverage_in_spot_market': False,
},
'binance': {
'pair': 'BTC/USDT',
'stake_currency': 'USDT',
'use_ci_proxy': True,
'hasQuoteVolume': True,
'timeframe': '5m',
'futures': True,
'futures_pair': 'BTC/USDT:USDT',
'hasQuoteVolumeFutures': True,
'leverage_tiers_public': False,
'leverage_in_spot_market': False,
'sample_order': [{
"symbol": "SOLUSDT",
"orderId": 3551312894,
"orderListId": -1,
"clientOrderId": "x-R4DD3S8297c73a11ccb9dc8f2811ba",
"transactTime": 1674493798550,
"price": "15.50000000",
"origQty": "1.10000000",
"executedQty": "0.00000000",
"cummulativeQuoteQty": "0.00000000",
"status": "NEW",
"timeInForce": "GTC",
"type": "LIMIT",
"side": "BUY",
"workingTime": 1674493798550,
"fills": [],
"selfTradePreventionMode": "NONE",
}]
},
'binanceus': {
'pair': 'BTC/USDT',
'stake_currency': 'USDT',
'hasQuoteVolume': True,
'timeframe': '5m',
'futures': False,
'sample_order': [{
"symbol": "SOLUSDT",
"orderId": 3551312894,
"orderListId": -1,
"clientOrderId": "x-R4DD3S8297c73a11ccb9dc8f2811ba",
"transactTime": 1674493798550,
"price": "15.50000000",
"origQty": "1.10000000",
"executedQty": "0.00000000",
"cummulativeQuoteQty": "0.00000000",
"status": "NEW",
"timeInForce": "GTC",
"type": "LIMIT",
"side": "BUY",
"workingTime": 1674493798550,
"fills": [],
"selfTradePreventionMode": "NONE",
}]
},
'kraken': {
'pair': 'BTC/USDT',
'stake_currency': 'USDT',
'hasQuoteVolume': True,
'timeframe': '5m',
'leverage_tiers_public': False,
'leverage_in_spot_market': True,
},
'kucoin': {
'pair': 'XRP/USDT',
'stake_currency': 'USDT',
'hasQuoteVolume': True,
'timeframe': '5m',
'leverage_tiers_public': False,
'leverage_in_spot_market': True,
'sample_order': [
{'id': '63d6742d0adc5570001d2bbf7'}, # create order
{
'id': '63d6742d0adc5570001d2bbf7',
'symbol': 'SOL-USDT',
'opType': 'DEAL',
'type': 'limit',
'side': 'buy',
'price': '15.5',
'size': '1.1',
'funds': '0',
'dealFunds': '17.05',
'dealSize': '1.1',
'fee': '0.000065252',
'feeCurrency': 'USDT',
'stp': '',
'stop': '',
'stopTriggered': False,
'stopPrice': '0',
'timeInForce': 'GTC',
'postOnly': False,
'hidden': False,
'iceberg': False,
'visibleSize': '0',
'cancelAfter': 0,
'channel': 'API',
'clientOid': '0a053870-11bf-41e5-be61-b272a4cb62e1',
'remark': None,
'tags': 'partner:ccxt',
'isActive': False,
'cancelExist': False,
'createdAt': 1674493798550,
'tradeType': 'TRADE'
}],
},
'gate': {
'pair': 'BTC/USDT',
'stake_currency': 'USDT',
'hasQuoteVolume': True,
'timeframe': '5m',
'futures': True,
'futures_pair': 'BTC/USDT:USDT',
'hasQuoteVolumeFutures': True,
'leverage_tiers_public': True,
'leverage_in_spot_market': True,
'sample_order': [
{
"id": "276266139423",
"text": "apiv4",
"create_time": "1674493798",
"update_time": "1674493798",
"create_time_ms": "1674493798550",
"update_time_ms": "1674493798550",
"status": "closed",
"currency_pair": "SOL_USDT",
"type": "limit",
"account": "spot",
"side": "buy",
"amount": "1.1",
"price": "15.5",
"time_in_force": "gtc",
"iceberg": "0",
"left": "0",
"fill_price": "17.05",
"filled_total": "17.05",
"avg_deal_price": "15.5",
"fee": "0.0000018",
"fee_currency": "SOL",
"point_fee": "0",
"gt_fee": "0",
"gt_maker_fee": "0",
"gt_taker_fee": "0.0015",
"gt_discount": True,
"rebated_fee": "0",
"rebated_fee_currency": "USDT"
},
{
# market order
'id': '276401180529',
'text': 'apiv4',
'create_time': '1674493798',
'update_time': '1674493798',
'create_time_ms': '1674493798550',
'update_time_ms': '1674493798550',
'status': 'cancelled',
'currency_pair': 'SOL_USDT',
'type': 'market',
'account': 'spot',
'side': 'buy',
'amount': '17.05',
'price': '0',
'time_in_force': 'ioc',
'iceberg': '0',
'left': '0.0000000016228',
'fill_price': '17.05',
'filled_total': '17.05',
'avg_deal_price': '15.5',
'fee': '0',
'fee_currency': 'SOL',
'point_fee': '0.0199999999967544',
'gt_fee': '0',
'gt_maker_fee': '0',
'gt_taker_fee': '0',
'gt_discount': False,
'rebated_fee': '0',
'rebated_fee_currency': 'USDT'
}
],
},
'okx': {
'pair': 'BTC/USDT',
'stake_currency': 'USDT',
'hasQuoteVolume': True,
'timeframe': '5m',
'futures': True,
'futures_pair': 'BTC/USDT:USDT',
'hasQuoteVolumeFutures': False,
'leverage_tiers_public': True,
'leverage_in_spot_market': True,
},
'bybit': {
'pair': 'BTC/USDT',
'stake_currency': 'USDT',
'hasQuoteVolume': True,
'timeframe': '5m',
'futures_pair': 'BTC/USDT:USDT',
'futures': True,
'leverage_tiers_public': True,
'leverage_in_spot_market': True,
'sample_order': [
{
"orderId": "1274754916287346280",
"orderLinkId": "1666798627015730",
"symbol": "SOLUSDT",
"createTime": "1674493798550",
"orderPrice": "15.5",
"orderQty": "1.1",
"orderType": "LIMIT",
"side": "BUY",
"status": "NEW",
"timeInForce": "GTC",
"accountId": "5555555",
"execQty": "0",
"orderCategory": "0"
}
]
},
'huobi': {
'pair': 'ETH/BTC',
'stake_currency': 'BTC',
'hasQuoteVolume': True,
'timeframe': '5m',
'futures': False,
},
'bitvavo': {
'pair': 'BTC/EUR',
'stake_currency': 'EUR',
'hasQuoteVolume': True,
'timeframe': '5m',
'leverage_tiers_public': False,
'leverage_in_spot_market': False,
},
}
@pytest.fixture(scope="class")
def exchange_conf():
config = get_default_conf_usdt((Path(__file__).parent / "testdata").resolve())
config['exchange']['pair_whitelist'] = []
config['exchange']['key'] = ''
config['exchange']['secret'] = ''
config['dry_run'] = False
config['entry_pricing']['use_order_book'] = True
config['exit_pricing']['use_order_book'] = True
return config
def set_test_proxy(config: Config, use_proxy: bool) -> Config:
# Set proxy to test in CI.
import os
if use_proxy and (proxy := os.environ.get('CI_WEB_PROXY')):
config1 = deepcopy(config)
config1['exchange']['ccxt_config'] = {
"aiohttp_proxy": proxy,
'proxies': {
'https': proxy,
'http': proxy,
}
}
return config1
return config
@pytest.fixture(params=EXCHANGES, scope="class")
def exchange(request, exchange_conf):
exchange_conf = set_test_proxy(
exchange_conf, EXCHANGES[request.param].get('use_ci_proxy', False))
exchange_conf['exchange']['name'] = request.param
exchange_conf['stake_currency'] = EXCHANGES[request.param]['stake_currency']
exchange = ExchangeResolver.load_exchange(request.param, exchange_conf, validate=True)
yield exchange, request.param
@pytest.fixture(params=EXCHANGES, scope="class")
def exchange_futures(request, exchange_conf, class_mocker):
if EXCHANGES[request.param].get('futures') is not True:
yield None, request.param
else:
exchange_conf = set_test_proxy(
exchange_conf, EXCHANGES[request.param].get('use_ci_proxy', False))
exchange_conf = deepcopy(exchange_conf)
exchange_conf['exchange']['name'] = request.param
exchange_conf['trading_mode'] = 'futures'
exchange_conf['margin_mode'] = 'isolated'
exchange_conf['stake_currency'] = EXCHANGES[request.param]['stake_currency']
class_mocker.patch(
'freqtrade.exchange.binance.Binance.fill_leverage_tiers')
class_mocker.patch('freqtrade.exchange.exchange.Exchange.fetch_trading_fees')
class_mocker.patch('freqtrade.exchange.okx.Okx.additional_exchange_init')
class_mocker.patch('freqtrade.exchange.binance.Binance.additional_exchange_init')
class_mocker.patch('freqtrade.exchange.bybit.Bybit.additional_exchange_init')
class_mocker.patch('freqtrade.exchange.exchange.Exchange.load_cached_leverage_tiers',
return_value=None)
class_mocker.patch('freqtrade.exchange.exchange.Exchange.cache_leverage_tiers')
exchange = ExchangeResolver.load_exchange(
request.param, exchange_conf, validate=True, load_leverage_tiers=True)
yield exchange, request.param
@pytest.mark.longrun
class TestCCXTExchange():
def test_load_markets(self, exchange: EXCHANGE_FIXTURE_TYPE):
exch, exchangename = exchange
pair = EXCHANGES[exchangename]['pair']
markets = exch.markets
assert pair in markets
assert isinstance(markets[pair], dict)
assert exch.market_is_spot(markets[pair])
def test_has_validations(self, exchange: EXCHANGE_FIXTURE_TYPE):
exch, exchangename = exchange
exch.validate_ordertypes({
'entry': 'limit',
'exit': 'limit',
'stoploss': 'limit',
})
if exchangename == 'gate':
# gate doesn't have market orders on spot
return
exch.validate_ordertypes({
'entry': 'market',
'exit': 'market',
'stoploss': 'market',
})
def test_load_markets_futures(self, exchange_futures: EXCHANGE_FIXTURE_TYPE):
exchange, exchangename = exchange_futures
if not exchange:
# exchange_futures only returns values for supported exchanges
return
pair = EXCHANGES[exchangename]['pair']
pair = EXCHANGES[exchangename].get('futures_pair', pair)
markets = exchange.markets
assert pair in markets
assert isinstance(markets[pair], dict)
assert exchange.market_is_future(markets[pair])
def test_ccxt_order_parse(self, exchange: EXCHANGE_FIXTURE_TYPE):
exch, exchange_name = exchange
if orders := EXCHANGES[exchange_name].get('sample_order'):
for order in orders:
po = exch._api.parse_order(order)
assert isinstance(po['id'], str)
assert po['id'] is not None
if len(order.keys()) < 5:
# Kucoin case
assert po['status'] == 'closed'
continue
assert po['timestamp'] == 1674493798550
assert isinstance(po['datetime'], str)
assert isinstance(po['timestamp'], int)
assert isinstance(po['price'], float)
assert po['price'] == 15.5
if po['average'] is not None:
assert isinstance(po['average'], float)
assert po['average'] == 15.5
assert po['symbol'] == 'SOL/USDT'
assert isinstance(po['amount'], float)
assert po['amount'] == 1.1
assert isinstance(po['status'], str)
else:
pytest.skip(f"No sample order available for exchange {exchange_name}")
def test_ccxt_fetch_tickers(self, exchange: EXCHANGE_FIXTURE_TYPE):
exch, exchangename = exchange
pair = EXCHANGES[exchangename]['pair']
tickers = exch.get_tickers()
assert pair in tickers
assert 'ask' in tickers[pair]
assert tickers[pair]['ask'] is not None
assert 'bid' in tickers[pair]
assert tickers[pair]['bid'] is not None
assert 'quoteVolume' in tickers[pair]
if EXCHANGES[exchangename].get('hasQuoteVolume'):
assert tickers[pair]['quoteVolume'] is not None
def test_ccxt_fetch_tickers_futures(self, exchange_futures: EXCHANGE_FIXTURE_TYPE):
exch, exchangename = exchange_futures
if not exch or exchangename in ('gate'):
# exchange_futures only returns values for supported exchanges
return
pair = EXCHANGES[exchangename]['pair']
pair = EXCHANGES[exchangename].get('futures_pair', pair)
tickers = exch.get_tickers()
assert pair in tickers
assert 'ask' in tickers[pair]
assert tickers[pair]['ask'] is not None
assert 'bid' in tickers[pair]
assert tickers[pair]['bid'] is not None
assert 'quoteVolume' in tickers[pair]
if EXCHANGES[exchangename].get('hasQuoteVolumeFutures'):
assert tickers[pair]['quoteVolume'] is not None
def test_ccxt_fetch_ticker(self, exchange: EXCHANGE_FIXTURE_TYPE):
exch, exchangename = exchange
pair = EXCHANGES[exchangename]['pair']
ticker = exch.fetch_ticker(pair)
assert 'ask' in ticker
assert ticker['ask'] is not None
assert 'bid' in ticker
assert ticker['bid'] is not None
assert 'quoteVolume' in ticker
if EXCHANGES[exchangename].get('hasQuoteVolume'):
assert ticker['quoteVolume'] is not None
def test_ccxt_fetch_l2_orderbook(self, exchange: EXCHANGE_FIXTURE_TYPE):
exch, exchangename = exchange
pair = EXCHANGES[exchangename]['pair']
l2 = exch.fetch_l2_order_book(pair)
assert 'asks' in l2
assert 'bids' in l2
assert len(l2['asks']) >= 1
assert len(l2['bids']) >= 1
l2_limit_range = exch._ft_has['l2_limit_range']
l2_limit_range_required = exch._ft_has['l2_limit_range_required']
if exchangename == 'gate':
# TODO: Gate is unstable here at the moment, ignoring the limit partially.
return
for val in [1, 2, 5, 25, 100]:
l2 = exch.fetch_l2_order_book(pair, val)
if not l2_limit_range or val in l2_limit_range:
if val > 50:
# Orderbooks are not always this deep.
assert val - 5 < len(l2['asks']) <= val
assert val - 5 < len(l2['bids']) <= val
else:
assert len(l2['asks']) == val
assert len(l2['bids']) == val
else:
next_limit = exch.get_next_limit_in_list(
val, l2_limit_range, l2_limit_range_required)
if next_limit is None:
assert len(l2['asks']) > 100
assert len(l2['asks']) > 100
elif next_limit > 200:
# Large orderbook sizes can be a problem for some exchanges (bitrex ...)
assert len(l2['asks']) > 200
assert len(l2['asks']) > 200
else:
assert len(l2['asks']) == next_limit
assert len(l2['asks']) == next_limit
def test_ccxt_fetch_ohlcv(self, exchange: EXCHANGE_FIXTURE_TYPE):
exch, exchangename = exchange
pair = EXCHANGES[exchangename]['pair']
timeframe = EXCHANGES[exchangename]['timeframe']
pair_tf = (pair, timeframe, CandleType.SPOT)
ohlcv = exch.refresh_latest_ohlcv([pair_tf])
assert isinstance(ohlcv, dict)
assert len(ohlcv[pair_tf]) == len(exch.klines(pair_tf))
# assert len(exch.klines(pair_tf)) > 200
# Assume 90% uptime ...
assert len(exch.klines(pair_tf)) > exch.ohlcv_candle_limit(
timeframe, CandleType.SPOT) * 0.90
# Check if last-timeframe is within the last 2 intervals
now = datetime.now(timezone.utc) - timedelta(minutes=(timeframe_to_minutes(timeframe) * 2))
assert exch.klines(pair_tf).iloc[-1]['date'] >= timeframe_to_prev_date(timeframe, now)
def ccxt__async_get_candle_history(self, exchange, exchangename, pair, timeframe, candle_type):
timeframe_ms = timeframe_to_msecs(timeframe)
now = timeframe_to_prev_date(
timeframe, datetime.now(timezone.utc))
for offset in (360, 120, 30, 10, 5, 2):
since = now - timedelta(days=offset)
since_ms = int(since.timestamp() * 1000)
res = exchange.loop.run_until_complete(exchange._async_get_candle_history(
pair=pair,
timeframe=timeframe,
since_ms=since_ms,
candle_type=candle_type
)
)
assert res
assert res[0] == pair
assert res[1] == timeframe
assert res[2] == candle_type
candles = res[3]
candle_count = exchange.ohlcv_candle_limit(timeframe, candle_type, since_ms) * 0.9
candle_count1 = (now.timestamp() * 1000 - since_ms) // timeframe_ms
assert len(candles) >= min(candle_count, candle_count1)
assert candles[0][0] == since_ms or (since_ms + timeframe_ms)
def test_ccxt__async_get_candle_history(self, exchange: EXCHANGE_FIXTURE_TYPE):
exc, exchangename = exchange
if exchangename in ('bittrex'):
# For some weired reason, this test returns random lengths for bittrex.
pytest.skip("Exchange doesn't provide stable ohlcv history")
if not exc._ft_has['ohlcv_has_history']:
pytest.skip("Exchange does not support candle history")
pair = EXCHANGES[exchangename]['pair']
timeframe = EXCHANGES[exchangename]['timeframe']
self.ccxt__async_get_candle_history(
exc, exchangename, pair, timeframe, CandleType.SPOT)
def test_ccxt__async_get_candle_history_futures(self, exchange_futures: EXCHANGE_FIXTURE_TYPE):
exchange, exchangename = exchange_futures
if not exchange:
# exchange_futures only returns values for supported exchanges
return
pair = EXCHANGES[exchangename].get('futures_pair', EXCHANGES[exchangename]['pair'])
timeframe = EXCHANGES[exchangename]['timeframe']
self.ccxt__async_get_candle_history(
exchange, exchangename, pair, timeframe, CandleType.FUTURES)
def test_ccxt_fetch_funding_rate_history(self, exchange_futures: EXCHANGE_FIXTURE_TYPE):
exchange, exchangename = exchange_futures
if not exchange:
# exchange_futures only returns values for supported exchanges
return
pair = EXCHANGES[exchangename].get('futures_pair', EXCHANGES[exchangename]['pair'])
since = int((datetime.now(timezone.utc) - timedelta(days=5)).timestamp() * 1000)
timeframe_ff = exchange._ft_has.get('funding_fee_timeframe',
exchange._ft_has['mark_ohlcv_timeframe'])
pair_tf = (pair, timeframe_ff, CandleType.FUNDING_RATE)
funding_ohlcv = exchange.refresh_latest_ohlcv(
[pair_tf],
since_ms=since,
drop_incomplete=False)
assert isinstance(funding_ohlcv, dict)
rate = funding_ohlcv[pair_tf]
this_hour = timeframe_to_prev_date(timeframe_ff)
hour1 = timeframe_to_prev_date(timeframe_ff, this_hour - timedelta(minutes=1))
hour2 = timeframe_to_prev_date(timeframe_ff, hour1 - timedelta(minutes=1))
hour3 = timeframe_to_prev_date(timeframe_ff, hour2 - timedelta(minutes=1))
val0 = rate[rate['date'] == this_hour].iloc[0]['open']
val1 = rate[rate['date'] == hour1].iloc[0]['open']
val2 = rate[rate['date'] == hour2].iloc[0]['open']
val3 = rate[rate['date'] == hour3].iloc[0]['open']
# Test For last 4 hours
# Avoids random test-failure when funding-fees are 0 for a few hours.
assert val0 != 0.0 or val1 != 0.0 or val2 != 0.0 or val3 != 0.0
# We expect funding rates to be different from 0.0 - or moving around.
assert (
rate['open'].max() != 0.0 or rate['open'].min() != 0.0 or
(rate['open'].min() != rate['open'].max())
)
def test_ccxt_fetch_mark_price_history(self, exchange_futures: EXCHANGE_FIXTURE_TYPE):
exchange, exchangename = exchange_futures
if not exchange:
# exchange_futures only returns values for supported exchanges
return
pair = EXCHANGES[exchangename].get('futures_pair', EXCHANGES[exchangename]['pair'])
since = int((datetime.now(timezone.utc) - timedelta(days=5)).timestamp() * 1000)
pair_tf = (pair, '1h', CandleType.MARK)
mark_ohlcv = exchange.refresh_latest_ohlcv(
[pair_tf],
since_ms=since,
drop_incomplete=False)
assert isinstance(mark_ohlcv, dict)
expected_tf = '1h'
mark_candles = mark_ohlcv[pair_tf]
this_hour = timeframe_to_prev_date(expected_tf)
prev_hour = timeframe_to_prev_date(expected_tf, this_hour - timedelta(minutes=1))
assert mark_candles[mark_candles['date'] == prev_hour].iloc[0]['open'] != 0.0
assert mark_candles[mark_candles['date'] == this_hour].iloc[0]['open'] != 0.0
def test_ccxt__calculate_funding_fees(self, exchange_futures: EXCHANGE_FIXTURE_TYPE):
exchange, exchangename = exchange_futures
if not exchange:
# exchange_futures only returns values for supported exchanges
return
pair = EXCHANGES[exchangename].get('futures_pair', EXCHANGES[exchangename]['pair'])
since = datetime.now(timezone.utc) - timedelta(days=5)
funding_fee = exchange._fetch_and_calculate_funding_fees(
pair, 20, is_short=False, open_date=since)
assert isinstance(funding_fee, float)
# assert funding_fee > 0
# TODO: tests fetch_trades (?)
def test_ccxt_get_fee(self, exchange: EXCHANGE_FIXTURE_TYPE):
exch, exchangename = exchange
pair = EXCHANGES[exchangename]['pair']
threshold = 0.01
assert 0 < exch.get_fee(pair, 'limit', 'buy') < threshold
assert 0 < exch.get_fee(pair, 'limit', 'sell') < threshold
assert 0 < exch.get_fee(pair, 'market', 'buy') < threshold
assert 0 < exch.get_fee(pair, 'market', 'sell') < threshold
def test_ccxt_get_max_leverage_spot(self, exchange: EXCHANGE_FIXTURE_TYPE):
spot, spot_name = exchange
if spot:
leverage_in_market_spot = EXCHANGES[spot_name].get('leverage_in_spot_market')
if leverage_in_market_spot:
spot_pair = EXCHANGES[spot_name].get('pair', EXCHANGES[spot_name]['pair'])
spot_leverage = spot.get_max_leverage(spot_pair, 20)
assert (isinstance(spot_leverage, float) or isinstance(spot_leverage, int))
assert spot_leverage >= 1.0
def test_ccxt_get_max_leverage_futures(self, exchange_futures: EXCHANGE_FIXTURE_TYPE):
futures, futures_name = exchange_futures
if futures:
leverage_tiers_public = EXCHANGES[futures_name].get('leverage_tiers_public')
if leverage_tiers_public:
futures_pair = EXCHANGES[futures_name].get(
'futures_pair',
EXCHANGES[futures_name]['pair']
)
futures_leverage = futures.get_max_leverage(futures_pair, 20)
assert (isinstance(futures_leverage, float) or isinstance(futures_leverage, int))
assert futures_leverage >= 1.0
def test_ccxt_get_contract_size(self, exchange_futures: EXCHANGE_FIXTURE_TYPE):
futures, futures_name = exchange_futures
if futures:
futures_pair = EXCHANGES[futures_name].get(
'futures_pair',
EXCHANGES[futures_name]['pair']
)
contract_size = futures.get_contract_size(futures_pair)
assert (isinstance(contract_size, float) or isinstance(contract_size, int))
assert contract_size >= 0.0
def test_ccxt_load_leverage_tiers(self, exchange_futures: EXCHANGE_FIXTURE_TYPE):
futures, futures_name = exchange_futures
if futures and EXCHANGES[futures_name].get('leverage_tiers_public'):
leverage_tiers = futures.load_leverage_tiers()
futures_pair = EXCHANGES[futures_name].get(
'futures_pair',
EXCHANGES[futures_name]['pair']
)
assert (isinstance(leverage_tiers, dict))
assert futures_pair in leverage_tiers
pair_tiers = leverage_tiers[futures_pair]
assert len(pair_tiers) > 0
oldLeverage = float('inf')
oldMaintenanceMarginRate = oldminNotional = oldmaxNotional = -1
for tier in pair_tiers:
for key in [
'maintenanceMarginRate',
'minNotional',
'maxNotional',
'maxLeverage'
]:
assert key in tier
assert tier[key] >= 0.0
assert tier['maxNotional'] > tier['minNotional']
assert tier['maxLeverage'] <= oldLeverage
assert tier['maintenanceMarginRate'] >= oldMaintenanceMarginRate
assert tier['minNotional'] > oldminNotional
assert tier['maxNotional'] > oldmaxNotional
oldLeverage = tier['maxLeverage']
oldMaintenanceMarginRate = tier['maintenanceMarginRate']
oldminNotional = tier['minNotional']
oldmaxNotional = tier['maxNotional']
def test_ccxt_dry_run_liquidation_price(self, exchange_futures: EXCHANGE_FIXTURE_TYPE):
futures, futures_name = exchange_futures
if futures and EXCHANGES[futures_name].get('leverage_tiers_public'):
futures_pair = EXCHANGES[futures_name].get(
'futures_pair',
EXCHANGES[futures_name]['pair']
)
liquidation_price = futures.dry_run_liquidation_price(
pair=futures_pair,
open_rate=40000,
is_short=False,
amount=100,
stake_amount=100,
leverage=5,
wallet_balance=100,
)
assert (isinstance(liquidation_price, float))
assert liquidation_price >= 0.0
liquidation_price = futures.dry_run_liquidation_price(
pair=futures_pair,
open_rate=40000,
is_short=False,
amount=100,
stake_amount=100,
leverage=5,
wallet_balance=100,
)
assert (isinstance(liquidation_price, float))
assert liquidation_price >= 0.0
def test_ccxt_get_max_pair_stake_amount(self, exchange_futures: EXCHANGE_FIXTURE_TYPE):
futures, futures_name = exchange_futures
if futures:
futures_pair = EXCHANGES[futures_name].get(
'futures_pair',
EXCHANGES[futures_name]['pair']
)
max_stake_amount = futures.get_max_pair_stake_amount(futures_pair, 40000)
assert (isinstance(max_stake_amount, float))
assert max_stake_amount >= 0.0