Changed funding fee tracking method, need to get funding_rate and open prices at multiple candles
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@ -1,6 +1,6 @@
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""" Binance exchange subclass """
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import logging
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from typing import Dict
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from typing import Dict, Optional
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import ccxt
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@ -9,7 +9,7 @@ import logging
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from copy import deepcopy
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from datetime import datetime, timezone
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from math import ceil
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from typing import Any, Dict, List, Optional, Tuple, Union
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from typing import Any, Dict, List, Optional, Tuple
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import arrow
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import ccxt
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@ -1516,35 +1516,13 @@ class Exchange:
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self._async_get_trade_history(pair=pair, since=since,
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until=until, from_id=from_id))
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@retrier
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def get_funding_fees(self, pair: str, since: Union[datetime, int]) -> float:
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"""
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Returns the sum of all funding fees that were exchanged for a pair within a timeframe
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:param pair: (e.g. ADA/USDT)
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:param since: The earliest time of consideration for calculating funding fees,
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in unix time or as a datetime
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"""
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# https://www.binance.com/en/support/faq/360033525031
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def fetch_funding_rate(self):
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if not self.exchange_has("fetchFundingHistory"):
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raise OperationalException(
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f"fetch_funding_history() has not been implemented on ccxt.{self.name}")
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if type(since) is datetime:
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since = int(since.strftime('%s'))
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try:
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funding_history = self._api.fetch_funding_history(
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pair=pair,
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since=since
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)
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return sum(fee['amount'] for fee in funding_history)
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except ccxt.DDoSProtection as e:
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raise DDosProtection(e) from e
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except (ccxt.NetworkError, ccxt.ExchangeError) as e:
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raise TemporaryError(
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f'Could not get funding fees due to {e.__class__.__name__}. Message: {e}') from e
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except ccxt.BaseError as e:
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raise OperationalException(e) from e
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return self._api.fetch_funding_rates()
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def is_exchange_known_ccxt(exchange_name: str, ccxt_module: CcxtModuleType = None) -> bool:
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@ -1,6 +1,6 @@
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""" FTX exchange subclass """
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import logging
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from typing import Any, Dict
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from typing import Any, Dict, Optional
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import ccxt
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@ -242,11 +242,6 @@ class FreqtradeBot(LoggingMixin):
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open_trades = len(Trade.get_open_trades())
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return max(0, self.config['max_open_trades'] - open_trades)
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def add_funding_fees(self, trade: Trade):
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if self.trading_mode == TradingMode.FUTURES:
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funding_fees = self.exchange.get_funding_fees(trade.pair, trade.open_date)
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trade.funding_fees = funding_fees
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def update_open_orders(self):
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"""
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Updates open orders based on order list kept in the database.
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@ -1,2 +1,3 @@
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# flake8: noqa: F401
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from freqtrade.leverage.funding_fees import funding_fee
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from freqtrade.leverage.interest import interest
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74
freqtrade/leverage/funding_fees.py
Normal file
74
freqtrade/leverage/funding_fees.py
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@ -0,0 +1,74 @@
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from datetime import datetime
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from typing import Optional
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from freqtrade.exceptions import OperationalException
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def funding_fees(
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exchange_name: str,
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pair: str,
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contract_size: float,
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open_date: datetime,
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close_date: datetime
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# index_price: float,
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# interest_rate: float
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):
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"""
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Equation to calculate funding_fees on futures trades
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:param exchange_name: The exchanged being trading on
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:param borrowed: The amount of currency being borrowed
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:param rate: The rate of interest
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:param hours: The time in hours that the currency has been borrowed for
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Raises:
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OperationalException: Raised if freqtrade does
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not support margin trading for this exchange
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Returns: The amount of interest owed (currency matches borrowed)
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"""
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exchange_name = exchange_name.lower()
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# fees = 0
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if exchange_name == "binance":
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for timeslot in ["23:59:45", "07:59:45", "15:59:45"]:
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# for each day in close_date - open_date
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# mark_price = mark_price at this time
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# rate = rate at this time
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# fees = fees + funding_fee(exchange_name, contract_size, mark_price, rate)
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# return fees
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return
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elif exchange_name == "kraken":
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raise OperationalException("Funding_fees has not been implemented for Kraken")
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elif exchange_name == "ftx":
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# for timeslot in every hour since open_date:
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# mark_price = mark_price at this time
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# fees = fees + funding_fee(exchange_name, contract_size, mark_price, rate)
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return
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else:
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raise OperationalException(f"Leverage not available on {exchange_name} with freqtrade")
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def funding_fee(
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exchange_name: str,
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contract_size: float,
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mark_price: float,
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rate: Optional[float],
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# index_price: float,
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# interest_rate: float
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):
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"""
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Calculates a single funding fee
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"""
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if exchange_name == "binance":
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assert isinstance(rate, float)
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nominal_value = mark_price * contract_size
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adjustment = nominal_value * rate
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return adjustment
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elif exchange_name == "kraken":
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raise OperationalException("Funding fee has not been implemented for kraken")
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elif exchange_name == "ftx":
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"""
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Always paid in USD on FTX # TODO: How do we account for this
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"""
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(contract_size * mark_price) / 24
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return
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@ -16,7 +16,7 @@ from sqlalchemy.sql.schema import UniqueConstraint
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from freqtrade.constants import DATETIME_PRINT_FORMAT, NON_OPEN_EXCHANGE_STATES
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from freqtrade.enums import SellType, TradingMode
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from freqtrade.exceptions import DependencyException, OperationalException
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from freqtrade.leverage import interest
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from freqtrade.leverage import funding_fees, interest
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from freqtrade.misc import safe_value_fallback
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from freqtrade.persistence.migrations import check_migrate
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@ -707,6 +707,7 @@ class LocalTrade():
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return float(self._calc_base_close(amount, rate, fee) - total_interest)
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elif (trading_mode == TradingMode.FUTURES):
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self.add_funding_fees()
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funding_fees = self.funding_fees or 0.0
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return float(self._calc_base_close(amount, rate, fee)) + funding_fees
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else:
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@ -785,6 +786,16 @@ class LocalTrade():
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else:
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return None
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def add_funding_fees(self):
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if self.trading_mode == TradingMode.FUTURES:
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self.funding_fees = funding_fees(
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self.exchange,
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self.pair,
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self.amount,
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self.open_date_utc,
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self.close_date_utc
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)
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@staticmethod
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def get_trades_proxy(*, pair: str = None, is_open: bool = None,
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open_date: datetime = None, close_date: datetime = None,
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@ -2928,69 +2928,69 @@ def test_calculate_backoff(retrycount, max_retries, expected):
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assert calculate_backoff(retrycount, max_retries) == expected
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@pytest.mark.parametrize("exchange_name", ['binance', 'ftx'])
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def test_get_funding_fees(default_conf, mocker, exchange_name):
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api_mock = MagicMock()
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api_mock.fetch_funding_history = MagicMock(return_value=[
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{
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'amount': 0.14542341,
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'code': 'USDT',
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'datetime': '2021-09-01T08:00:01.000Z',
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'id': '485478',
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'info': {'asset': 'USDT',
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'income': '0.14542341',
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'incomeType': 'FUNDING_FEE',
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'info': 'FUNDING_FEE',
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'symbol': 'XRPUSDT',
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'time': '1630512001000',
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'tradeId': '',
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'tranId': '4854789484855218760'},
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'symbol': 'XRP/USDT',
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'timestamp': 1630512001000
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},
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{
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'amount': -0.14642341,
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'code': 'USDT',
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'datetime': '2021-09-01T16:00:01.000Z',
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'id': '485479',
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'info': {'asset': 'USDT',
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'income': '-0.14642341',
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'incomeType': 'FUNDING_FEE',
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'info': 'FUNDING_FEE',
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'symbol': 'XRPUSDT',
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'time': '1630512001000',
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'tradeId': '',
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'tranId': '4854789484855218760'},
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'symbol': 'XRP/USDT',
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'timestamp': 1630512001000
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}
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])
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type(api_mock).has = PropertyMock(return_value={'fetchFundingHistory': True})
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# @pytest.mark.parametrize("exchange_name", ['binance', 'ftx'])
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# def test_get_funding_fees(default_conf, mocker, exchange_name):
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# api_mock = MagicMock()
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# api_mock.fetch_funding_history = MagicMock(return_value=[
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# {
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# 'amount': 0.14542341,
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# 'code': 'USDT',
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# 'datetime': '2021-09-01T08:00:01.000Z',
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# 'id': '485478',
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# 'info': {'asset': 'USDT',
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# 'income': '0.14542341',
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# 'incomeType': 'FUNDING_FEE',
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# 'info': 'FUNDING_FEE',
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# 'symbol': 'XRPUSDT',
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# 'time': '1630512001000',
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# 'tradeId': '',
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# 'tranId': '4854789484855218760'},
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# 'symbol': 'XRP/USDT',
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# 'timestamp': 1630512001000
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# },
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# {
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# 'amount': -0.14642341,
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# 'code': 'USDT',
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# 'datetime': '2021-09-01T16:00:01.000Z',
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# 'id': '485479',
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# 'info': {'asset': 'USDT',
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# 'income': '-0.14642341',
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# 'incomeType': 'FUNDING_FEE',
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# 'info': 'FUNDING_FEE',
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# 'symbol': 'XRPUSDT',
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# 'time': '1630512001000',
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# 'tradeId': '',
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# 'tranId': '4854789484855218760'},
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# 'symbol': 'XRP/USDT',
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# 'timestamp': 1630512001000
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# }
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# ])
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# type(api_mock).has = PropertyMock(return_value={'fetchFundingHistory': True})
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# mocker.patch('freqtrade.exchange.Exchange.get_funding_fees', lambda pair, since: y)
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exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange_name)
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date_time = datetime.strptime("2021-09-01T00:00:01.000Z", '%Y-%m-%dT%H:%M:%S.%fZ')
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unix_time = int(date_time.strftime('%s'))
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expected_fees = -0.001 # 0.14542341 + -0.14642341
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fees_from_datetime = exchange.get_funding_fees(
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pair='XRP/USDT',
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since=date_time
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)
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fees_from_unix_time = exchange.get_funding_fees(
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pair='XRP/USDT',
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since=unix_time
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)
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# # mocker.patch('freqtrade.exchange.Exchange.get_funding_fees', lambda pair, since: y)
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# exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange_name)
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# date_time = datetime.strptime("2021-09-01T00:00:01.000Z", '%Y-%m-%dT%H:%M:%S.%fZ')
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# unix_time = int(date_time.strftime('%s'))
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# expected_fees = -0.001 # 0.14542341 + -0.14642341
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# fees_from_datetime = exchange.get_funding_fees(
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# pair='XRP/USDT',
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# since=date_time
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# )
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# fees_from_unix_time = exchange.get_funding_fees(
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# pair='XRP/USDT',
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# since=unix_time
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# )
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assert(isclose(expected_fees, fees_from_datetime))
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assert(isclose(expected_fees, fees_from_unix_time))
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# assert(isclose(expected_fees, fees_from_datetime))
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# assert(isclose(expected_fees, fees_from_unix_time))
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ccxt_exceptionhandlers(
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mocker,
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default_conf,
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api_mock,
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exchange_name,
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"get_funding_fees",
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"fetch_funding_history",
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pair="XRP/USDT",
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since=unix_time
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)
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# ccxt_exceptionhandlers(
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# mocker,
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# default_conf,
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# api_mock,
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# exchange_name,
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# "get_funding_fees",
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# "fetch_funding_history",
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# pair="XRP/USDT",
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# since=unix_time
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# )
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