Fixed timestamp/datetime issues for mark price, funding rate and _get_funding_fee_dates
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6e912c1053
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@ -1712,10 +1712,9 @@ class Exchange:
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return d.minute > 0 or d.second > 0
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def _get_funding_fee_dates(self, d1: datetime, d2: datetime):
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d1_hours = d1.hour + 1 if self.funding_fee_cutoff(d1) else d1.hour
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if d1_hours == 24:
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d1_hours = 0
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d1 = datetime(d1.year, d1.month, d1.day, d1_hours, tzinfo=timezone.utc)
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d1 = datetime(d1.year, d1.month, d1.day, d1.hour, tzinfo=timezone.utc)
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if self.funding_fee_cutoff(d1):
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d1 += timedelta(hours=1)
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d2 = datetime(d2.year, d2.month, d2.day, d2.hour, tzinfo=timezone.utc)
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results = []
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@ -1768,7 +1767,10 @@ class Exchange:
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)
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history = {}
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for candle in candles:
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history[candle[0]] = candle[1]
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# TODO-lev: Round down to the nearest funding fee time, incase a timestamp ever has a delay of > 1s
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seconds = int(candle[0] / 1000) # The millisecond timestamps can be delayed ~20ms
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opening_mark_price = candle[1]
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history[seconds] = 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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@ -1804,15 +1806,16 @@ class Exchange:
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close_date = datetime.now(timezone.utc)
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funding_rate_history = self.get_funding_rate_history(
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pair,
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int(open_date.timestamp() * 1000)
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int(open_date.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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int(open_date.timestamp() * 1000)
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int(open_date.timestamp())
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)
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for date in self._get_funding_fee_dates(open_date, close_date):
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funding_rate = funding_rate_history[int(date.timestamp() * 1000)]
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mark_price = mark_price_history[int(date.timestamp() * 1000)]
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funding_fee_dates = self._get_funding_fee_dates(open_date, close_date)
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for date in funding_fee_dates:
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funding_rate = funding_rate_history[int(date.timestamp())]
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mark_price = mark_price_history[int(date.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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@ -4722,39 +4722,39 @@ def test_update_funding_fees(mocker, default_conf, time_machine, fee):
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funding_rates = {
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"LTC/BTC": {
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1630454400000: 0.00032583,
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1630483200000: 0.00024472,
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1630454400: 0.00032583,
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1630483200: 0.00024472,
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},
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"ETH/BTC": {
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1630454400000: 0.0001,
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1630483200000: 0.0001,
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1630454400: 0.0001,
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1630483200: 0.0001,
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},
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"ETC/BTC": {
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1630454400000: 0.00031077,
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1630483200000: 0.00022655,
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1630454400: 0.00031077,
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1630483200: 0.00022655,
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},
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"XRP/BTC": {
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1630454400000: 0.00049426,
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1630483200000: 0.00032715,
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1630454400: 0.00049426,
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1630483200: 0.00032715,
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}
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}
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mark_prices = {
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"LTC/BTC": {
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1630454400000: 3.3,
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1630483200000: 3.2,
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1630454400: 3.3,
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1630483200: 3.2,
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},
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"ETH/BTC": {
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1630454400000: 2.4,
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1630483200000: 2.5,
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1630454400: 2.4,
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1630483200: 2.5,
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},
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"ETC/BTC": {
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1630454400000: 4.3,
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1630483200000: 4.1,
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1630454400: 4.3,
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1630483200: 4.1,
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},
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"XRP/BTC": {
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1630454400000: 1.2,
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1630483200000: 1.2,
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1630454400: 1.2,
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1630483200: 1.2,
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}
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}
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