Implement Fallback to Bar Price in Cache and Portfolio when Ticks unavailable

nautilus_trader/cache/cache.pxd

@@ -14,6 +14,7 @@
 # -------------------------------------------------------------------------------------------------
 
 from cpython.datetime cimport datetime
+from cpython.datetime cimport timedelta
 from libc.stdint cimport uint64_t
 
 from nautilus_trader.accounting.accounts.base cimport Account
@@ -22,13 +23,15 @@ from nautilus_trader.cache.base cimport CacheFacade
 from nautilus_trader.cache.facade cimport CacheDatabaseFacade
 from nautilus_trader.common.actor cimport Actor
 from nautilus_trader.common.component cimport Logger
+from nautilus_trader.core.rust.model cimport AggregationSource
 from nautilus_trader.core.rust.model cimport OmsType
 from nautilus_trader.core.rust.model cimport OrderSide
 from nautilus_trader.core.rust.model cimport PositionSide
 from nautilus_trader.execution.messages cimport SubmitOrder
 from nautilus_trader.execution.messages cimport SubmitOrderList
 from nautilus_trader.model.book cimport OrderBook
 from nautilus_trader.model.data cimport Bar
+from nautilus_trader.model.data cimport BarType
 from nautilus_trader.model.data cimport QuoteTick
 from nautilus_trader.model.data cimport TradeTick
 from nautilus_trader.model.identifiers cimport AccountId
@@ -175,3 +178,12 @@ cdef class Cache(CacheFacade):
     cpdef void delete_strategy(self, Strategy strategy)
 
     cpdef void heartbeat(self, datetime timestamp)
+
+    cdef timedelta _get_timedelta(self, BarType bar_type)
+
+    cpdef list bar_types(
+        self,
+        InstrumentId instrument_id=*,
+        object price_type=*,
+        AggregationSource aggregation_source=*,
+    )

nautilus_trader/cache/cache.pyx

@@ -23,6 +23,7 @@ from decimal import Decimal
 from nautilus_trader.cache.config import CacheConfig
 
 from cpython.datetime cimport datetime
+from cpython.datetime cimport timedelta
 from libc.stdint cimport uint8_t
 from libc.stdint cimport uint64_t
 
@@ -37,6 +38,10 @@ from nautilus_trader.core.rust.model cimport OmsType
 from nautilus_trader.core.rust.model cimport OrderSide
 from nautilus_trader.core.rust.model cimport PositionSide
 from nautilus_trader.core.rust.model cimport PriceType
+
+from nautilus_trader.core.rust.model import PriceType as PriceType_py
+
+from nautilus_trader.core.rust.model cimport AggregationSource
 from nautilus_trader.core.rust.model cimport TriggerType
 from nautilus_trader.execution.messages cimport SubmitOrder
 from nautilus_trader.model.data cimport Bar
@@ -2033,10 +2038,20 @@ cdef class Cache(CacheFacade):
 
         if price_type == PriceType.LAST:
             trade_tick = self.trade_tick(instrument_id)
-            return trade_tick.price if trade_tick is not None else None
+            if trade_tick is not None:
+                return trade_tick.price
         else:
             quote_tick = self.quote_tick(instrument_id)
-            return quote_tick.extract_price(price_type) if quote_tick is not None else None
+            if quote_tick is not None:
+                return quote_tick.extract_price(price_type)
+
+        # Fallback to bar pricing
+        cdef Bar bar
+        cdef list bar_types = self.bar_types(instrument_id, price_type, AggregationSource.EXTERNAL)
+        if bar_types:
+            bar = self.bar(bar_types[0])  # Bar with smallest timedelta
+            if bar is not None:
+                return bar.close
 
     cpdef OrderBook order_book(self, InstrumentId instrument_id):
         """
@@ -2439,6 +2454,48 @@ cdef class Cache(CacheFacade):
         """
         return [x for x in self._instruments.values() if venue is None or venue == x.id.venue]
 
+    cdef timedelta _get_timedelta(self, BarType bar_type):
+        """ Helper method to get the timedelta from a BarType. """
+        return bar_type.spec.timedelta
+
+    cpdef list bar_types(
+        self,
+        InstrumentId instrument_id = None,
+        object price_type = None,
+        AggregationSource aggregation_source = AggregationSource.EXTERNAL,
+    ):
+        """
+        Return a list of BarType for the given instrument ID and price type.
+
+        Parameters
+        ----------
+        instrument_id : InstrumentId, optional
+            The instrument ID to filter the BarType objects. If None, no filtering is done based on instrument ID.
+        price_type : PriceType or None, optional
+            The price type to filter the BarType objects. If None, no filtering is done based on price type.
+        aggregation_source : AggregationSource, default AggregationSource.EXTERNAL
+            The aggregation source to filter the BarType objects.
+        Returns
+        -------
+        list[BarType]
+        """
+        Condition.type_or_none(instrument_id, InstrumentId, "instrument_id")
+        Condition.type_or_none(price_type, PriceType_py, "price_type")
+
+        cdef list bar_types = [bar_type for bar_type in self._bars.keys()
+                               if bar_type.aggregation_source == aggregation_source]
+
+        if instrument_id is not None:
+            bar_types = [bar_type for bar_type in bar_types if bar_type.instrument_id == instrument_id]
+
+        if price_type is not None:
+            bar_types = [bar_type for bar_type in bar_types if bar_type.spec.price_type == price_type]
+
+        if instrument_id and price_type:
+            bar_types.sort(key=self._get_timedelta)
+
+        return bar_types
+
 # -- SYNTHETIC QUERIES ----------------------------------------------------------------------------
 
     cpdef SyntheticInstrument synthetic(self, InstrumentId instrument_id):

nautilus_trader/portfolio/portfolio.pyx

@@ -774,6 +774,13 @@ cdef class Portfolio(PortfolioFacade):
                 )
                 return None  # Cannot calculate
 
+            if position.side == PositionSide.FLAT:
+                self._log.error(
+                    f"Cannot calculate net exposures: "
+                    f"position is flat for {position.instrument_id}"
+                )
+                continue  # Nothing to calculate
+
             last = self._get_last_price(position)
             if last is None:
                 self._log.error(
@@ -1070,6 +1077,9 @@ cdef class Portfolio(PortfolioFacade):
             if position.instrument_id != instrument_id:
                 continue  # Nothing to calculate
 
+            if position.side == PositionSide.FLAT:
+                continue  # Nothing to calculate
+
             last = self._get_last_price(position)
             if last is None:
                 self._log.debug(
@@ -1102,19 +1112,24 @@ cdef class Portfolio(PortfolioFacade):
         return Money(total_pnl, currency)
 
     cdef Price _get_last_price(self, Position position):
-        cdef QuoteTick quote_tick = self._cache.quote_tick(position.instrument_id)
-        if quote_tick is not None:
-            if position.side == PositionSide.LONG:
-                return quote_tick.bid_price
-            elif position.side == PositionSide.SHORT:
-                return quote_tick.ask_price
-            else:  # pragma: no cover (design-time error)
-                raise RuntimeError(
-                    f"invalid `PositionSide`, was {position_side_to_str(position.side)}",
-                )
+        cdef PriceType price_type
+        if position.side == PositionSide.LONG:
+            price_type = PriceType.BID
+        elif position.side == PositionSide.SHORT:
+            price_type = PriceType.ASK
+        else:  # pragma: no cover (design-time error)
+            raise RuntimeError(
+                f"invalid `PositionSide`, was {position_side_to_str(position.side)}",
+            )
 
-        cdef TradeTick trade_tick = self._cache.trade_tick(position.instrument_id)
-        return trade_tick.price if trade_tick is not None else None
+        cdef Price price
+        return self._cache.price(
+            instrument_id=position.instrument_id,
+            price_type=price_type,
+        ) or self._cache.price(
+            instrument_id=position.instrument_id,
+            price_type=PriceType.LAST,
+        )
 
     cdef double _calculate_xrate_to_base(self, Account account, Instrument instrument, OrderSide side):
         if account.base_currency is not None:

nautilus_trader/test_kit/stubs/data.py

@@ -120,6 +120,10 @@ def quote_ticks_usdjpy() -> list[QuoteTick]:
     def bar_spec_1min_bid() -> BarSpecification:
         return BarSpecification(1, BarAggregation.MINUTE, PriceType.BID)
 
+    @staticmethod
+    def bar_spec_5min_bid() -> BarSpecification:
+        return BarSpecification(5, BarAggregation.MINUTE, PriceType.BID)
+
     @staticmethod
     def bar_spec_1min_ask() -> BarSpecification:
         return BarSpecification(1, BarAggregation.MINUTE, PriceType.ASK)
@@ -144,6 +148,10 @@ def bar_spec_100tick_last() -> BarSpecification:
     def bartype_audusd_1min_bid() -> BarType:
         return BarType(TestIdStubs.audusd_id(), TestDataStubs.bar_spec_1min_bid())
 
+    @staticmethod
+    def bartype_audusd_5min_bid() -> BarType:
+        return BarType(TestIdStubs.audusd_id(), TestDataStubs.bar_spec_5min_bid())
+
     @staticmethod
     def bartype_audusd_1min_ask() -> BarType:
         return BarType(TestIdStubs.audusd_id(), TestDataStubs.bar_spec_1min_ask())
@@ -189,6 +197,19 @@ def bar_5decimal() -> Bar:
             ts_init=0,
         )
 
+    @staticmethod
+    def bar_5decimal_5min_bid() -> Bar:
+        return Bar(
+            bar_type=TestDataStubs.bartype_audusd_5min_bid(),
+            open=Price.from_str("1.00101"),
+            high=Price.from_str("1.00208"),
+            low=Price.from_str("1.00100"),
+            close=Price.from_str("1.00205"),
+            volume=Quantity.from_int(1_000_000),
+            ts_event=0,
+            ts_init=0,
+        )
+
     @staticmethod
     def bar_3decimal() -> Bar:
         return Bar(

tests/unit_tests/cache/test_data.py

@@ -17,6 +17,7 @@
 
 import pytest
 
+from nautilus_trader.core.rust.model import AggregationSource
 from nautilus_trader.model.currencies import AUD
 from nautilus_trader.model.currencies import JPY
 from nautilus_trader.model.currencies import USD
@@ -387,6 +388,70 @@ def test_price_given_various_quote_price_types_when_quote_tick_returns_expected_
         # Assert
         assert result == expected
 
+    @pytest.mark.parametrize(
+        ("price_type", "expected"),
+        [[PriceType.BID, Price.from_str("1.00003")], [PriceType.LAST, None]],
+    )
+    def test_price_returned_with_external_bars(self, price_type, expected):
+        # Arrange
+        self.cache.add_bar(TestDataStubs.bar_5decimal())
+        self.cache.add_bar(TestDataStubs.bar_5decimal_5min_bid())
+        self.cache.add_bar(TestDataStubs.bar_3decimal())
+
+        # Act
+        result = self.cache.price(AUDUSD_SIM.id, price_type)
+
+        # Assert
+        assert result == expected
+
+    @pytest.mark.parametrize(
+        ("instrument_id", "price_type", "aggregation_source", "expected"),
+        [
+            [
+                AUDUSD_SIM.id,
+                PriceType.BID,
+                AggregationSource.EXTERNAL,
+                [TestDataStubs.bartype_audusd_1min_bid(), TestDataStubs.bartype_audusd_5min_bid()],
+            ],
+            [AUDUSD_SIM.id, PriceType.BID, AggregationSource.INTERNAL, []],
+            [AUDUSD_SIM.id, PriceType.ASK, AggregationSource.EXTERNAL, []],
+            [ETHUSDT_BINANCE.id, PriceType.BID, AggregationSource.EXTERNAL, []],
+        ],
+    )
+    def test_retrieved_bar_types_match_expected(
+        self,
+        instrument_id,
+        price_type,
+        aggregation_source,
+        expected,
+    ):
+        # Arrange
+        self.cache.add_bar(TestDataStubs.bar_5decimal())
+        self.cache.add_bar(TestDataStubs.bar_5decimal_5min_bid())
+        self.cache.add_bar(TestDataStubs.bar_3decimal())
+
+        # Act
+        result = self.cache.bar_types(
+            instrument_id=instrument_id,
+            price_type=price_type,
+            aggregation_source=aggregation_source,
+        )
+
+        # Assert
+        assert result == expected
+
+    def test_retrieved_all_bar_types_match_expected(self):
+        # Arrange
+        self.cache.add_bar(TestDataStubs.bar_5decimal())
+        self.cache.add_bar(TestDataStubs.bar_5decimal_5min_bid())
+        self.cache.add_bar(TestDataStubs.bar_3decimal())
+
+        # Act
+        result = self.cache.bar_types()
+
+        # Assert
+        assert len(result) == 3
+
     def test_quote_tick_when_index_out_of_range_returns_none(self):
         # Arrange
         tick = TestDataStubs.quote_tick()