Matthias
GitHub
commit
90c565006b
@ -283,12 +283,15 @@ def refresh_backtest_ohlcv_data(exchange: Exchange, pairs: List[str], timeframes
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# Predefined candletype (and timeframe) depending on exchange
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# Downloads what is necessary to backtest based on futures data.
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timeframe = exchange._ft_has['mark_ohlcv_timeframe']
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candle_type = CandleType.from_string(exchange._ft_has['mark_ohlcv_price'])
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fr_candle_type = CandleType.from_string(exchange._ft_has['mark_ohlcv_price'])
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# All exchanges need FundingRate for futures trading.
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# The timeframe is aligned to the mark-price timeframe.
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for candle_type in (CandleType.FUNDING_RATE, fr_candle_type):
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# TODO: this could be in most parts to the above.
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if erase:
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if data_handler.ohlcv_purge(pair, timeframe, candle_type=candle_type):
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logger.info(f'Deleting existing data for pair {pair}, interval {timeframe}.')
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logger.info(
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f'Deleting existing data for pair {pair}, interval {timeframe}.')
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_download_pair_history(pair=pair, process=process,
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datadir=datadir, exchange=exchange,
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timerange=timerange, data_handler=data_handler,
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@ -1389,7 +1389,8 @@ class Exchange:
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return pair, timeframe, candle_type, data
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def refresh_latest_ohlcv(self, pair_list: ListPairsWithTimeframes, *,
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since_ms: Optional[int] = None, cache: bool = True
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since_ms: Optional[int] = None, cache: bool = True,
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drop_incomplete: bool = None
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) -> Dict[PairWithTimeframe, DataFrame]:
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"""
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Refresh in-memory OHLCV asynchronously and set `_klines` with the result
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@ -1398,10 +1399,13 @@ class Exchange:
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:param pair_list: List of 2 element tuples containing pair, interval to refresh
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:param since_ms: time since when to download, in milliseconds
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:param cache: Assign result to _klines. Usefull for one-off downloads like for pairlists
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:param drop_incomplete: Control candle dropping.
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Specifying None defaults to _ohlcv_partial_candle
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:return: Dict of [{(pair, timeframe): Dataframe}]
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"""
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logger.debug("Refreshing candle (OHLCV) data for %d pairs", len(pair_list))
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# TODO-lev: maybe depend this on candle type?
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drop_incomplete = self._ohlcv_partial_candle if drop_incomplete is None else drop_incomplete
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input_coroutines = []
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cached_pairs = []
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# Gather coroutines to run
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@ -1447,7 +1451,7 @@ class Exchange:
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# keeping parsed dataframe in cache
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ohlcv_df = ohlcv_to_dataframe(
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ticks, timeframe, pair=pair, fill_missing=True,
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drop_incomplete=self._ohlcv_partial_candle)
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drop_incomplete=drop_incomplete)
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results_df[(pair, timeframe, c_type)] = ohlcv_df
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if cache:
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self._klines[(pair, timeframe, c_type)] = ohlcv_df
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@ -1494,11 +1498,17 @@ class Exchange:
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params = deepcopy(self._ft_has.get('ohlcv_params', {}))
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if candle_type != CandleType.SPOT:
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params.update({'price': candle_type})
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data = await self._api_async.fetch_ohlcv(pair, timeframe=timeframe,
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since=since_ms,
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limit=self.ohlcv_candle_limit(timeframe),
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params=params)
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if candle_type != CandleType.FUNDING_RATE:
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data = await self._api_async.fetch_ohlcv(
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pair, timeframe=timeframe, since=since_ms,
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limit=self.ohlcv_candle_limit(timeframe), params=params)
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else:
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# Funding rate
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data = await self._api_async.fetch_funding_rate_history(
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pair, since=since_ms,
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limit=self.ohlcv_candle_limit(timeframe))
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# Convert funding rate to candle pattern
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data = [[x['timestamp'], x['fundingRate'], 0, 0, 0, 0] for x in data]
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# Some exchanges sort OHLCV in ASC order and others in DESC.
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# Ex: Bittrex returns the list of OHLCV in ASC order (oldest first, newest last)
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# while GDAX returns the list of OHLCV in DESC order (newest first, oldest last)
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@ -1812,46 +1822,6 @@ class Exchange:
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except ccxt.BaseError as e:
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raise OperationalException(e) from e
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@retrier
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def _get_mark_price_history(self, pair: str, since: int) -> Dict:
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"""
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Get's the mark price history for a pair
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:param pair: The quote/base pair of the trade
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:param since: The earliest time to start downloading candles, in ms.
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"""
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try:
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candles = self._api.fetch_ohlcv(
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pair,
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timeframe="1h",
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since=since,
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params={
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'price': self._ft_has["mark_ohlcv_price"]
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}
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)
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history = {}
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for candle in candles:
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d = datetime.fromtimestamp(int(candle[0] / 1000), timezone.utc)
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# Round down to the nearest hour, in case of a delayed timestamp
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# The millisecond timestamps can be delayed ~20ms
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time = timeframe_to_prev_date('1h', d).timestamp() * 1000
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opening_mark_price = candle[1]
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history[time] = opening_mark_price
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return history
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except ccxt.NotSupported as e:
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raise OperationalException(
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f'Exchange {self._api.name} does not support fetching historical '
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f'mark price candle (OHLCV) data. Message: {e}') from e
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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(f'Could not fetch historical mark price candle (OHLCV) data '
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f'for pair {pair} due to {e.__class__.__name__}. '
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f'Message: {e}') from e
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except ccxt.BaseError as e:
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raise OperationalException(f'Could not fetch historical mark price candle (OHLCV) data '
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f'for pair {pair}. Message: {e}') from e
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def _calculate_funding_fees(
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self,
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pair: str,
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@ -1870,36 +1840,33 @@ class Exchange:
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if self.funding_fee_cutoff(open_date):
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open_date += timedelta(hours=1)
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open_date = timeframe_to_prev_date('1h', open_date)
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timeframe = self._ft_has['mark_ohlcv_timeframe']
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timeframe_ff = self._ft_has.get('funding_fee_timeframe',
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self._ft_has['mark_ohlcv_timeframe'])
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open_date = timeframe_to_prev_date(timeframe, open_date)
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fees: float = 0
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if not close_date:
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close_date = datetime.now(timezone.utc)
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open_timestamp = int(open_date.timestamp()) * 1000
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# close_timestamp = int(close_date.timestamp()) * 1000
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funding_rate_history = self.get_funding_rate_history(
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pair,
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open_timestamp
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)
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mark_price_history = self._get_mark_price_history(
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pair,
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open_timestamp
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)
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for timestamp in funding_rate_history.keys():
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funding_rate = funding_rate_history[timestamp]
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if timestamp in mark_price_history:
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mark_price = mark_price_history[timestamp]
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fees += self._get_funding_fee(
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size=amount,
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mark_price=mark_price,
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funding_rate=funding_rate
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)
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else:
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logger.warning(
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f"Mark price for {pair} at timestamp {timestamp} not found in "
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f"funding_rate_history Funding fee calculation may be incorrect"
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mark_comb: PairWithTimeframe = (
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pair, timeframe, CandleType.from_string(self._ft_has["mark_ohlcv_price"]))
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funding_comb: PairWithTimeframe = (pair, timeframe_ff, CandleType.FUNDING_RATE)
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candle_histories = self.refresh_latest_ohlcv(
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[mark_comb, funding_comb],
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since_ms=open_timestamp,
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cache=False,
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drop_incomplete=False,
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)
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funding_rates = candle_histories[funding_comb]
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mark_rates = candle_histories[mark_comb]
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df = funding_rates.merge(mark_rates, on='date', how="inner", suffixes=["_fund", "_mark"])
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df = df[(df['date'] >= open_date) & (df['date'] <= close_date)]
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fees = sum(df['open_fund'] * df['open_mark'] * amount)
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return fees
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@ -1920,42 +1887,6 @@ class Exchange:
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else:
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return 0.0
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@retrier
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def get_funding_rate_history(self, pair: str, since: int) -> Dict:
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"""
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:param pair: quote/base currency pair
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:param since: timestamp in ms of the beginning time
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:param end: timestamp in ms of the end time
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"""
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if not self.exchange_has("fetchFundingRateHistory"):
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raise ExchangeError(
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f"fetch_funding_rate_history is not available using {self.name}"
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)
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# TODO-lev: Gateio has a max limit into the past of 333 days, okex has a limit of 3 months
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try:
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funding_history: Dict = {}
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response = self._api.fetch_funding_rate_history(
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pair,
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limit=1000,
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since=since
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)
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for fund in response:
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d = datetime.fromtimestamp(int(fund['timestamp'] / 1000), timezone.utc)
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# Round down to the nearest hour, in case of a delayed timestamp
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# The millisecond timestamps can be delayed ~20ms
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time = int(timeframe_to_prev_date('1h', d).timestamp() * 1000)
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funding_history[time] = fund['fundingRate']
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return 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 set margin mode 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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def is_exchange_known_ccxt(exchange_name: str, ccxt_module: CcxtModuleType = None) -> bool:
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return exchange_name in ccxt_exchanges(ccxt_module)
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@ -16,6 +16,8 @@ class Okex(Exchange):
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_ft_has: Dict = {
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"ohlcv_candle_limit": 100,
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"mark_ohlcv_timeframe": "4h",
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"funding_fee_timeframe": "8h",
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}
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_supported_trading_mode_collateral_pairs: List[Tuple[TradingMode, Collateral]] = [
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@ -490,7 +490,7 @@ def test_validate_backtest_data(default_conf, mocker, caplog, testdatadir) -> No
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@pytest.mark.parametrize('trademode,callcount', [
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('spot', 4),
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('margin', 4),
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('futures', 6),
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('futures', 8), # Called 8 times - 4 normal, 2 funding and 2 mark/index calls
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])
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def test_refresh_backtest_ohlcv_data(
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mocker, default_conf, markets, caplog, testdatadir, trademode, callcount):
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@ -91,7 +91,7 @@ def exchange_futures(request, exchange_conf, class_mocker):
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exchange_conf['exchange']['name'] = request.param
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exchange_conf['trading_mode'] = 'futures'
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exchange_conf['collateral'] = 'cross'
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# TODO-lev This mock should no longer be necessary once futures are enabled.
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# TODO-lev: This mock should no longer be necessary once futures are enabled.
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class_mocker.patch(
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'freqtrade.exchange.exchange.Exchange.validate_trading_mode_and_collateral')
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class_mocker.patch(
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@ -195,7 +195,6 @@ class TestCCXTExchange():
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assert exchange.klines(pair_tf).iloc[-1]['date'] >= timeframe_to_prev_date(timeframe, now)
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def test_ccxt_fetch_funding_rate_history(self, exchange_futures):
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# TODO-lev: enable this test once Futures mode is enabled.
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exchange, exchangename = exchange_futures
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if not exchange:
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# exchange_futures only returns values for supported exchanges
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@ -203,34 +202,59 @@ class TestCCXTExchange():
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pair = EXCHANGES[exchangename].get('futures_pair', EXCHANGES[exchangename]['pair'])
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since = int((datetime.now(timezone.utc) - timedelta(days=5)).timestamp() * 1000)
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timeframe_ff = exchange._ft_has.get('funding_fee_timeframe',
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exchange._ft_has['mark_ohlcv_timeframe'])
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pair_tf = (pair, timeframe_ff, CandleType.FUNDING_RATE)
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rate = exchange.get_funding_rate_history(pair, since)
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assert isinstance(rate, dict)
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funding_ohlcv = exchange.refresh_latest_ohlcv(
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[pair_tf],
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since_ms=since,
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drop_incomplete=False)
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expected_tf = exchange._ft_has['mark_ohlcv_timeframe']
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this_hour = timeframe_to_prev_date(expected_tf)
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prev_tick = timeframe_to_prev_date(expected_tf, this_hour - timedelta(minutes=1))
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assert rate[int(this_hour.timestamp() * 1000)] != 0.0
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assert rate[int(prev_tick.timestamp() * 1000)] != 0.0
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assert isinstance(funding_ohlcv, dict)
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rate = funding_ohlcv[pair_tf]
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@pytest.mark.skip("No futures support yet")
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def test_fetch_mark_price_history(self, exchange_futures):
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this_hour = timeframe_to_prev_date(timeframe_ff)
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prev_hour = timeframe_to_prev_date(timeframe_ff, this_hour - timedelta(minutes=1))
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assert rate[rate['date'] == this_hour].iloc[0]['open'] != 0.0
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assert rate[rate['date'] == prev_hour].iloc[0]['open'] != 0.0
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def test_ccxt_fetch_mark_price_history(self, exchange_futures):
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exchange, exchangename = exchange_futures
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if not exchange:
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# exchange_futures only returns values for supported exchanges
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return
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pair = EXCHANGES[exchangename].get('futures_pair', EXCHANGES[exchangename]['pair'])
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since = int((datetime.now(timezone.utc) - timedelta(days=5)).timestamp() * 1000)
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pair_tf = (pair, '1h', CandleType.MARK)
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mark_candles = exchange._get_mark_price_history(pair, since)
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mark_ohlcv = exchange.refresh_latest_ohlcv(
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[pair_tf],
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since_ms=since,
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drop_incomplete=False)
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assert isinstance(mark_candles, dict)
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assert isinstance(mark_ohlcv, dict)
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expected_tf = '1h'
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mark_candles = mark_ohlcv[pair_tf]
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this_hour = timeframe_to_prev_date(expected_tf)
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prev_tick = timeframe_to_prev_date(expected_tf, this_hour - timedelta(minutes=1))
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assert mark_candles[int(this_hour.timestamp() * 1000)] != 0.0
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assert mark_candles[int(prev_tick.timestamp() * 1000)] != 0.0
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prev_hour = timeframe_to_prev_date(expected_tf, this_hour - timedelta(minutes=1))
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assert mark_candles[mark_candles['date'] == prev_hour].iloc[0]['open'] != 0.0
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assert mark_candles[mark_candles['date'] == this_hour].iloc[0]['open'] != 0.0
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def test_ccxt__calculate_funding_fees(self, exchange_futures):
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exchange, exchangename = exchange_futures
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if not exchange:
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# exchange_futures only returns values for supported exchanges
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return
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pair = EXCHANGES[exchangename].get('futures_pair', EXCHANGES[exchangename]['pair'])
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since = datetime.now(timezone.utc) - timedelta(days=5)
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funding_fee = exchange._calculate_funding_fees(pair, 20, open_date=since)
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assert isinstance(funding_fee, float)
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# assert funding_fee > 0
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# TODO: tests fetch_trades (?)
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@ -3408,81 +3408,6 @@ def test__get_funding_fee(
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assert kraken._get_funding_fee(size, funding_rate, mark_price, time_in_ratio) == kraken_fee
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def test__get_mark_price_history(mocker, default_conf, mark_ohlcv):
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api_mock = MagicMock()
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api_mock.fetch_ohlcv = MagicMock(return_value=mark_ohlcv)
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type(api_mock).has = PropertyMock(return_value={'fetchOHLCV': 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)
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mark_prices = exchange._get_mark_price_history("ADA/USDT", 1630454400000)
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assert mark_prices == {
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1630454400000: 2.77,
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1630458000000: 2.73,
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1630461600000: 2.74,
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1630465200000: 2.76,
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1630468800000: 2.76,
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1630472400000: 2.77,
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1630476000000: 2.78,
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1630479600000: 2.78,
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1630483200000: 2.77,
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1630486800000: 2.77,
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1630490400000: 2.84,
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1630494000000: 2.81,
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1630497600000: 2.81,
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1630501200000: 2.82,
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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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"binance",
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"_get_mark_price_history",
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"fetch_ohlcv",
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pair="ADA/USDT",
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since=1635580800001
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)
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def test_get_funding_rate_history(mocker, default_conf, funding_rate_history_hourly):
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api_mock = MagicMock()
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api_mock.fetch_funding_rate_history = MagicMock(return_value=funding_rate_history_hourly)
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type(api_mock).has = PropertyMock(return_value={'fetchFundingRateHistory': 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)
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funding_rates = exchange.get_funding_rate_history('ADA/USDT', 1635580800001)
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assert funding_rates == {
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1630454400000: -0.000008,
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1630458000000: -0.000004,
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1630461600000: 0.000012,
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1630465200000: -0.000003,
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1630468800000: -0.000007,
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1630472400000: 0.000003,
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1630476000000: 0.000019,
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1630479600000: 0.000003,
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1630483200000: -0.000003,
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1630486800000: 0,
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1630490400000: 0.000013,
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1630494000000: 0.000077,
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||||
1630497600000: 0.000072,
|
||||
1630501200000: 0.000097,
|
||||
}
|
||||
|
||||
ccxt_exceptionhandlers(
|
||||
mocker,
|
||||
default_conf,
|
||||
api_mock,
|
||||
"binance",
|
||||
"get_funding_rate_history",
|
||||
"fetch_funding_rate_history",
|
||||
pair="ADA/USDT",
|
||||
since=1630454400000
|
||||
)
|
||||
|
||||
|
||||
@pytest.mark.parametrize('exchange,rate_start,rate_end,d1,d2,amount,expected_fees', [
|
||||
('binance', 0, 2, "2021-09-01 00:00:00", "2021-09-01 08:00:00", 30.0, -0.0009140999999999999),
|
||||
('binance', 0, 2, "2021-09-01 00:00:15", "2021-09-01 08:00:00", 30.0, -0.0009140999999999999),
|
||||
@ -3566,14 +3491,14 @@ def test__calculate_funding_fees(
|
||||
'gateio': funding_rate_history_octohourly,
|
||||
}[exchange][rate_start:rate_end]
|
||||
api_mock = MagicMock()
|
||||
api_mock.fetch_funding_rate_history = MagicMock(return_value=funding_rate_history)
|
||||
api_mock.fetch_ohlcv = MagicMock(return_value=mark_ohlcv)
|
||||
api_mock.fetch_funding_rate_history = get_mock_coro(return_value=funding_rate_history)
|
||||
api_mock.fetch_ohlcv = get_mock_coro(return_value=mark_ohlcv)
|
||||
type(api_mock).has = PropertyMock(return_value={'fetchOHLCV': True})
|
||||
type(api_mock).has = PropertyMock(return_value={'fetchFundingRateHistory': True})
|
||||
|
||||
exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange)
|
||||
funding_fees = exchange._calculate_funding_fees('ADA/USDT', amount, d1, d2)
|
||||
assert funding_fees == expected_fees
|
||||
assert pytest.approx(funding_fees) == expected_fees
|
||||
|
||||
|
||||
@ pytest.mark.parametrize('exchange,expected_fees', [
|
||||
@ -3590,8 +3515,9 @@ def test__calculate_funding_fees_datetime_called(
|
||||
expected_fees
|
||||
):
|
||||
api_mock = MagicMock()
|
||||
api_mock.fetch_ohlcv = MagicMock(return_value=mark_ohlcv)
|
||||
api_mock.fetch_funding_rate_history = MagicMock(return_value=funding_rate_history_octohourly)
|
||||
api_mock.fetch_ohlcv = get_mock_coro(return_value=mark_ohlcv)
|
||||
api_mock.fetch_funding_rate_history = get_mock_coro(
|
||||
return_value=funding_rate_history_octohourly)
|
||||
type(api_mock).has = PropertyMock(return_value={'fetchOHLCV': True})
|
||||
type(api_mock).has = PropertyMock(return_value={'fetchFundingRateHistory': True})
|
||||
|
||||
|
||||
@ -9,6 +9,7 @@ from unittest.mock import ANY, MagicMock, PropertyMock
|
||||
|
||||
import arrow
|
||||
import pytest
|
||||
from pandas import DataFrame
|
||||
|
||||
from freqtrade.constants import CANCEL_REASON, MATH_CLOSE_PREC, UNLIMITED_STAKE_AMOUNT
|
||||
from freqtrade.enums import CandleType, RPCMessageType, RunMode, SellType, SignalDirection, State
|
||||
@ -4802,60 +4803,67 @@ def test_update_funding_fees(
|
||||
patch_exchange(mocker)
|
||||
default_conf['trading_mode'] = 'futures'
|
||||
default_conf['collateral'] = 'isolated'
|
||||
default_conf['dry_run'] = True
|
||||
timestamp_midnight = 1630454400000
|
||||
timestamp_eight = 1630483200000
|
||||
funding_rates_midnight = {
|
||||
"LTC/BTC": {
|
||||
timestamp_midnight: 0.00032583,
|
||||
},
|
||||
"ETH/BTC": {
|
||||
timestamp_midnight: 0.0001,
|
||||
},
|
||||
"XRP/BTC": {
|
||||
timestamp_midnight: 0.00049426,
|
||||
}
|
||||
}
|
||||
|
||||
funding_rates_eight = {
|
||||
"LTC/BTC": {
|
||||
timestamp_midnight: 0.00032583,
|
||||
timestamp_eight: 0.00024472,
|
||||
},
|
||||
"ETH/BTC": {
|
||||
timestamp_midnight: 0.0001,
|
||||
timestamp_eight: 0.0001,
|
||||
},
|
||||
"XRP/BTC": {
|
||||
timestamp_midnight: 0.00049426,
|
||||
timestamp_eight: 0.00032715,
|
||||
}
|
||||
date_midnight = arrow.get('2021-09-01 00:00:00')
|
||||
date_eight = arrow.get('2021-09-01 08:00:00')
|
||||
date_sixteen = arrow.get('2021-09-01 16:00:00')
|
||||
columns = ['date', 'open', 'high', 'low', 'close', 'volume']
|
||||
# 16:00 entry is actually never used
|
||||
# But should be kept in the test to ensure we're filtering correctly.
|
||||
funding_rates = {
|
||||
"LTC/BTC":
|
||||
DataFrame([
|
||||
[date_midnight, 0.00032583, 0, 0, 0, 0],
|
||||
[date_eight, 0.00024472, 0, 0, 0, 0],
|
||||
[date_sixteen, 0.00024472, 0, 0, 0, 0],
|
||||
], columns=columns),
|
||||
"ETH/BTC":
|
||||
DataFrame([
|
||||
[date_midnight, 0.0001, 0, 0, 0, 0],
|
||||
[date_eight, 0.0001, 0, 0, 0, 0],
|
||||
[date_sixteen, 0.0001, 0, 0, 0, 0],
|
||||
], columns=columns),
|
||||
"XRP/BTC":
|
||||
DataFrame([
|
||||
[date_midnight, 0.00049426, 0, 0, 0, 0],
|
||||
[date_eight, 0.00032715, 0, 0, 0, 0],
|
||||
[date_sixteen, 0.00032715, 0, 0, 0, 0],
|
||||
], columns=columns)
|
||||
}
|
||||
|
||||
mark_prices = {
|
||||
"LTC/BTC": {
|
||||
timestamp_midnight: 3.3,
|
||||
timestamp_eight: 3.2,
|
||||
},
|
||||
"ETH/BTC": {
|
||||
timestamp_midnight: 2.4,
|
||||
timestamp_eight: 2.5,
|
||||
},
|
||||
"XRP/BTC": {
|
||||
timestamp_midnight: 1.2,
|
||||
timestamp_eight: 1.2,
|
||||
}
|
||||
"LTC/BTC":
|
||||
DataFrame([
|
||||
[date_midnight, 3.3, 0, 0, 0, 0],
|
||||
[date_eight, 3.2, 0, 0, 0, 0],
|
||||
[date_sixteen, 3.2, 0, 0, 0, 0],
|
||||
], columns=columns),
|
||||
"ETH/BTC":
|
||||
DataFrame([
|
||||
[date_midnight, 2.4, 0, 0, 0, 0],
|
||||
[date_eight, 2.5, 0, 0, 0, 0],
|
||||
[date_sixteen, 2.5, 0, 0, 0, 0],
|
||||
], columns=columns),
|
||||
"XRP/BTC":
|
||||
DataFrame([
|
||||
[date_midnight, 1.2, 0, 0, 0, 0],
|
||||
[date_eight, 1.2, 0, 0, 0, 0],
|
||||
[date_sixteen, 1.2, 0, 0, 0, 0],
|
||||
], columns=columns)
|
||||
}
|
||||
|
||||
mocker.patch(
|
||||
'freqtrade.exchange.Exchange._get_mark_price_history',
|
||||
side_effect=lambda pair, since: mark_prices[pair]
|
||||
)
|
||||
def refresh_latest_ohlcv_mock(pairlist, **kwargs):
|
||||
ret = {}
|
||||
for p, tf, ct in pairlist:
|
||||
if ct == CandleType.MARK:
|
||||
ret[(p, tf, ct)] = mark_prices[p]
|
||||
else:
|
||||
ret[(p, tf, ct)] = funding_rates[p]
|
||||
|
||||
mocker.patch(
|
||||
'freqtrade.exchange.Exchange.get_funding_rate_history',
|
||||
side_effect=lambda pair, since: funding_rates_midnight[pair]
|
||||
)
|
||||
return ret
|
||||
|
||||
mocker.patch('freqtrade.exchange.Exchange.refresh_latest_ohlcv',
|
||||
side_effect=refresh_latest_ohlcv_mock)
|
||||
|
||||
mocker.patch.multiple(
|
||||
'freqtrade.exchange.Exchange',
|
||||
@ -4880,38 +4888,33 @@ def test_update_funding_fees(
|
||||
trades = Trade.get_open_trades()
|
||||
assert len(trades) == 3
|
||||
for trade in trades:
|
||||
assert trade.funding_fees == (
|
||||
assert pytest.approx(trade.funding_fees) == (
|
||||
trade.amount *
|
||||
mark_prices[trade.pair][timestamp_midnight] *
|
||||
funding_rates_midnight[trade.pair][timestamp_midnight]
|
||||
mark_prices[trade.pair].iloc[0]['open'] *
|
||||
funding_rates[trade.pair].iloc[0]['open']
|
||||
)
|
||||
mocker.patch('freqtrade.exchange.Exchange.create_order', return_value=open_exit_order)
|
||||
# create_mock_trades(fee, False)
|
||||
time_machine.move_to("2021-09-01 08:00:00 +00:00")
|
||||
mocker.patch(
|
||||
'freqtrade.exchange.Exchange.get_funding_rate_history',
|
||||
side_effect=lambda pair, since: funding_rates_eight[pair]
|
||||
)
|
||||
if schedule_off:
|
||||
for trade in trades:
|
||||
assert trade.funding_fees == (
|
||||
trade.amount *
|
||||
mark_prices[trade.pair][timestamp_midnight] *
|
||||
funding_rates_eight[trade.pair][timestamp_midnight]
|
||||
)
|
||||
freqtrade.execute_trade_exit(
|
||||
trade=trade,
|
||||
# The values of the next 2 params are irrelevant for this test
|
||||
limit=ticker_usdt_sell_up()['bid'],
|
||||
sell_reason=SellCheckTuple(sell_type=SellType.ROI)
|
||||
)
|
||||
assert trade.funding_fees == pytest.approx(sum(
|
||||
trade.amount *
|
||||
mark_prices[trade.pair].iloc[0:2]['open'] *
|
||||
funding_rates[trade.pair].iloc[0:2]['open']
|
||||
))
|
||||
|
||||
else:
|
||||
freqtrade._schedule.run_pending()
|
||||
|
||||
# Funding fees for 00:00 and 08:00
|
||||
for trade in trades:
|
||||
assert trade.funding_fees == sum([
|
||||
assert trade.funding_fees == pytest.approx(sum(
|
||||
trade.amount *
|
||||
mark_prices[trade.pair][time] *
|
||||
funding_rates_eight[trade.pair][time] for time in mark_prices[trade.pair].keys()
|
||||
])
|
||||
mark_prices[trade.pair].iloc[0:2]['open'] * funding_rates[trade.pair].iloc[0:2]['open']
|
||||
))
|
||||
|
||||
Loading…
Reference in New Issue
Block a user