Beispiel #1
0
async def test_ftx_http_client():
    loop = asyncio.get_event_loop()
    clock = LiveClock()

    client: FTXHttpClient = get_cached_ftx_http_client(
        loop=loop,
        clock=clock,
        logger=Logger(clock=clock),
        key=os.getenv("FTX_API_KEY"),
        secret=os.getenv("FTX_API_SECRET"),
    )
    await client.connect()

    response = await client.list_markets(
        # market="ETH-PERP",
    )
    print(json.dumps(response, indent=4))

    provider = FTXInstrumentProvider(
        client=client,
        logger=Logger(clock=clock),
    )

    await provider.load_all_async()
    # for instrument in provider.get_all().values():
    #     print(instrument)

    await client.disconnect()
async def test_binance_spot_market_http_client():
    loop = asyncio.get_event_loop()
    clock = LiveClock()

    client = get_cached_binance_http_client(
        loop=loop,
        clock=clock,
        logger=Logger(clock=clock),
        key=os.getenv("BINANCE_API_KEY"),
        secret=os.getenv("BINANCE_API_SECRET"),
    )
    await client.connect()

    market = BinanceSpotMarketHttpAPI(client=client)
    response = await market.exchange_info(symbols=["BTCUSDT", "ETHUSDT"])
    print(json.dumps(response, indent=4))

    provider = BinanceInstrumentProvider(
        client=client,
        logger=Logger(clock=clock),
    )

    await provider.load_all_async()

    print(provider.count)

    await client.disconnect()
    def setUp(self):
        # Fixture Setup
        clock = TestClock()
        logger = Logger(clock)
        self.order_factory = OrderFactory(
            trader_id=TraderId("TESTER", "000"),
            strategy_id=StrategyId("S", "001"),
            clock=TestClock(),
        )

        state = AccountState(
            account_id=AccountId("BINANCE", "1513111"),
            balances=[Money("10.00000000", BTC)],
            balances_free=[Money("0.00000000", BTC)],
            balances_locked=[Money("0.00000000", BTC)],
            info={},
            event_id=uuid4(),
            timestamp_ns=0,
        )

        self.data_cache = DataCache(logger)
        self.account = Account(state)

        self.portfolio = Portfolio(clock, logger)
        self.portfolio.register_account(self.account)
        self.portfolio.register_cache(self.data_cache)

        self.data_cache.add_instrument(AUDUSD_SIM)
        self.data_cache.add_instrument(GBPUSD_SIM)
        self.data_cache.add_instrument(BTCUSDT_BINANCE)
        self.data_cache.add_instrument(BTCUSD_BITMEX)
        self.data_cache.add_instrument(ETHUSD_BITMEX)
    def setUp(self):
        # Fixture Setup
        clock = TestClock()
        logger = Logger(clock)
        trader_id = TraderId("TESTER-000")
        self.order_factory = OrderFactory(
            trader_id=trader_id,
            strategy_id=StrategyId("S-001"),
            clock=TestClock(),
        )

        cache_db = BypassCacheDatabase(
            trader_id=trader_id,
            logger=logger,
        )

        cache = Cache(
            database=cache_db,
            logger=logger,
        )

        self.portfolio = Portfolio(
            cache=cache,
            clock=clock,
            logger=logger,
        )

        self.exec_engine = ExecutionEngine(
            portfolio=self.portfolio,
            cache=cache,
            clock=clock,
            logger=logger,
        )
Beispiel #5
0
    def setUp(self):
        # Fixture Setup
        self.clock = TestClock()
        self.uuid_factory = UUIDFactory()
        self.logger = Logger(self.clock)

        self.cache = TestStubs.cache()

        self.portfolio = Portfolio(
            cache=self.cache,
            clock=self.clock,
            logger=self.logger,
        )

        self.data_engine = DataEngine(
            portfolio=self.portfolio,
            cache=self.cache,
            clock=self.clock,
            logger=self.logger,
        )

        self.venue = Venue("SIM")

        self.client = DataClient(
            client_id=ClientId("TEST_PROVIDER"),
            engine=self.data_engine,
            clock=self.clock,
            logger=self.logger,
        )
Beispiel #6
0
    def setUp(self):
        # Fixture Setup
        self.clock = LiveClock()
        self.uuid_factory = UUIDFactory()
        self.logger = Logger(self.clock, level_stdout=LogLevel.DEBUG)

        self.portfolio = Portfolio(
            clock=self.clock,
            logger=self.logger,
        )

        # Fresh isolated loop testing pattern
        self.loop = asyncio.new_event_loop()
        asyncio.set_event_loop(self.loop)

        self.engine = LiveDataEngine(
            loop=self.loop,
            portfolio=self.portfolio,
            clock=self.clock,
            logger=self.logger,
        )

        self.client = LiveDataClient(
            name="BLOOMBERG",
            engine=self.engine,
            clock=self.clock,
            logger=self.logger,
        )
Beispiel #7
0
    def test_handle_trade_tick_when_volume_below_threshold_updates(self):
        # Arrange
        bar_store = ObjectStorer()
        handler = bar_store.store
        instrument_id = TestStubs.audusd_id()
        bar_spec = BarSpecification(10000, BarAggregation.VOLUME,
                                    PriceType.LAST)
        bar_type = BarType(instrument_id, bar_spec)
        aggregator = VolumeBarAggregator(bar_type, handler,
                                         Logger(TestClock()))

        tick1 = TradeTick(
            instrument_id=AUDUSD_SIM.id,
            price=Price("1.00001"),
            size=Quantity(1),
            aggressor_side=AggressorSide.BUY,
            match_id=TradeMatchId("123456"),
            timestamp_ns=0,
        )

        # Act
        aggregator.handle_trade_tick(tick1)

        # Assert
        self.assertEqual(0, len(bar_store.get_store()))
Beispiel #8
0
    def setup(self):
        # Fixture Setup
        self.loop = asyncio.get_event_loop()
        self.loop.set_debug(True)

        self.clock = LiveClock()
        self.uuid_factory = UUIDFactory()
        self.logger = Logger(self.clock)

        self.trader_id = TestStubs.trader_id()

        self.msgbus = MessageBus(
            trader_id=self.trader_id,
            clock=self.clock,
            logger=self.logger,
        )

        self.cache = TestStubs.cache()

        self.portfolio = Portfolio(
            msgbus=self.msgbus,
            cache=self.cache,
            clock=self.clock,
            logger=self.logger,
        )

        self.engine = LiveDataEngine(
            loop=self.loop,
            msgbus=self.msgbus,
            cache=self.cache,
            clock=self.clock,
            logger=self.logger,
        )
async def test_binance_websocket_client():
    loop = asyncio.get_event_loop()
    clock = LiveClock()

    client = get_cached_binance_http_client(
        loop=loop,
        clock=clock,
        logger=Logger(clock=clock),
        key=os.getenv("BINANCE_API_KEY"),
        secret=os.getenv("BINANCE_API_SECRET"),
    )
    await client.connect()

    user = BinanceUserDataHttpAPI(client=client)
    response = await user.create_listen_key_spot()
    key = response["listenKey"]

    ws = BinanceUserDataWebSocket(
        loop=loop,
        clock=clock,
        logger=LiveLogger(loop=loop, clock=clock),
        handler=print,
    )

    ws.subscribe(key=key)

    await ws.connect(start=True)
    await asyncio.sleep(4)
    await ws.close()
    await client.disconnect()
    def test_handle_quote_tick_when_value_beyond_threshold_sends_bar_to_handler(
            self):
        # Arrange
        bar_store = ObjectStorer()
        handler = bar_store.store
        instrument_id = TestStubs.audusd_id()
        bar_spec = BarSpecification(100000, BarAggregation.VALUE,
                                    PriceType.BID)
        bar_type = BarType(instrument_id, bar_spec)
        aggregator = ValueBarAggregator(bar_type, handler, Logger(TestClock()))

        tick1 = QuoteTick(
            instrument_id=AUDUSD_SIM.id,
            bid=Price.from_str("1.00001"),
            ask=Price.from_str("1.00004"),
            bid_size=Quantity.from_int(20000),
            ask_size=Quantity.from_int(20000),
            timestamp_origin_ns=0,
            timestamp_ns=0,
        )

        tick2 = QuoteTick(
            instrument_id=AUDUSD_SIM.id,
            bid=Price.from_str("1.00002"),
            ask=Price.from_str("1.00005"),
            bid_size=Quantity.from_int(60000),
            ask_size=Quantity.from_int(20000),
            timestamp_origin_ns=0,
            timestamp_ns=0,
        )

        tick3 = QuoteTick(
            instrument_id=AUDUSD_SIM.id,
            bid=Price.from_str("1.00000"),
            ask=Price.from_str("1.00003"),
            bid_size=Quantity.from_int(30500),
            ask_size=Quantity.from_int(20000),
            timestamp_origin_ns=0,
            timestamp_ns=0,
        )

        # Act
        aggregator.handle_quote_tick(tick1)
        aggregator.handle_quote_tick(tick2)
        aggregator.handle_quote_tick(tick3)

        # Assert
        self.assertEqual(1, len(bar_store.get_store()))
        self.assertEqual(Price.from_str("1.00001"),
                         bar_store.get_store()[0].open)
        self.assertEqual(Price.from_str("1.00002"),
                         bar_store.get_store()[0].high)
        self.assertEqual(Price.from_str("1.00000"),
                         bar_store.get_store()[0].low)
        self.assertEqual(Price.from_str("1.00000"),
                         bar_store.get_store()[0].close)
        self.assertEqual(Quantity.from_str("99999"),
                         bar_store.get_store()[0].volume)
        self.assertEqual(Decimal("10501.400"),
                         aggregator.get_cumulative_value())
    def setup(self):
        # Fixture Setup
        self.clock = TestClock()
        self.uuid_factory = UUIDFactory()
        self.logger = Logger(self.clock)

        self.cache = TestStubs.cache()

        self.portfolio = Portfolio(
            cache=self.cache,
            clock=self.clock,
            logger=self.logger,
        )

        self.data_engine = DataEngine(
            portfolio=self.portfolio,
            cache=self.cache,
            clock=self.clock,
            logger=self.logger,
        )
        self.data_engine.process(USDJPY_SIM)

        self.client = BacktestMarketDataClient(
            client_id=ClientId("SIM"),
            engine=self.data_engine,
            clock=TestClock(),
            logger=self.logger,
        )
    def test_run_trade_ticks_through_aggregator_results_in_expected_bars(self):
        # Arrange
        bar_store = ObjectStorer()
        handler = bar_store.store
        bar_spec = BarSpecification(1000, BarAggregation.TICK, PriceType.LAST)
        bar_type = BarType(ETHUSDT_BINANCE.id, bar_spec)
        aggregator = TickBarAggregator(bar_type, handler, Logger(TestClock()))

        wrangler = TradeTickDataWrangler(
            instrument=ETHUSDT_BINANCE,
            data=TestDataProvider.ethusdt_trades(),
        )

        wrangler.pre_process(0)
        ticks = wrangler.build_ticks()

        # Act
        for tick in ticks:
            aggregator.handle_trade_tick(tick)

        # Assert
        last_bar = bar_store.get_store()[-1]
        self.assertEqual(69, len(bar_store.get_store()))
        self.assertEqual(Price("426.72"), last_bar.open)
        self.assertEqual(Price("427.01"), last_bar.high)
        self.assertEqual(Price("426.46"), last_bar.low)
        self.assertEqual(Price("426.67"), last_bar.close)
        self.assertEqual(Quantity(2281), last_bar.volume)
Beispiel #13
0
    def test_handle_trade_tick_when_value_below_threshold_updates(self):
        # Arrange
        bar_store = ObjectStorer()
        handler = bar_store.store
        instrument_id = TestStubs.audusd_id()
        bar_spec = BarSpecification(100000, BarAggregation.VALUE,
                                    PriceType.LAST)
        bar_type = BarType(instrument_id, bar_spec)
        aggregator = ValueBarAggregator(
            AUDUSD_SIM,
            bar_type,
            handler,
            Logger(TestClock()),
        )

        tick1 = TradeTick(
            instrument_id=AUDUSD_SIM.id,
            price=Price.from_str("15000.00"),
            size=Quantity.from_str("3.5"),
            aggressor_side=AggressorSide.BUY,
            match_id="123456",
            ts_event_ns=0,
            ts_recv_ns=0,
        )

        # Act
        aggregator.handle_trade_tick(tick1)

        # Assert
        self.assertEqual(0, len(bar_store.get_store()))
        self.assertEqual(Decimal("52500.000"),
                         aggregator.get_cumulative_value())
    def test_run_trade_ticks_through_aggregator_results_in_expected_bars(self):
        # Arrange
        bar_store = ObjectStorer()
        handler = bar_store.store
        instrument = ETHUSDT_BINANCE
        bar_spec = BarSpecification(1000, BarAggregation.VOLUME,
                                    PriceType.LAST)
        bar_type = BarType(instrument.id, bar_spec)
        aggregator = VolumeBarAggregator(
            instrument,
            bar_type,
            handler,
            Logger(TestClock()),
        )

        wrangler = TradeTickDataWrangler(instrument=ETHUSDT_BINANCE)
        provider = TestDataProvider()
        ticks = wrangler.process(
            provider.read_csv_ticks("binance-ethusdt-trades.csv")[:10000])

        # Act
        for tick in ticks:
            aggregator.handle_trade_tick(tick)

        # Assert
        last_bar = bar_store.get_store()[-1]
        assert len(bar_store.get_store()) == 26
        assert last_bar.open == Price.from_str("425.17")
        assert last_bar.high == Price.from_str("425.24")
        assert last_bar.low == Price.from_str("424.69")
        assert last_bar.close == Price.from_str("425.14")
        assert last_bar.volume == Quantity.from_int(1000)
Beispiel #15
0
    def setUp(self):
        # Fixture Setup
        self.clock = TestClock()
        self.uuid_factory = UUIDFactory()
        self.logger = Logger(self.clock)

        self.portfolio = Portfolio(
            clock=self.clock,
            logger=self.logger,
        )

        self.data_engine = DataEngine(
            portfolio=self.portfolio,
            clock=self.clock,
            logger=self.logger,
        )

        self.venue = Venue("SIM")

        self.client = MarketDataClient(
            client_id=ClientId(self.venue.value),
            engine=self.data_engine,
            clock=self.clock,
            logger=self.logger,
        )
Beispiel #16
0
    def test_handle_quote_tick_when_value_below_threshold_updates(self):
        # Arrange
        bar_store = ObjectStorer()
        handler = bar_store.store
        instrument_id = TestStubs.audusd_id()
        bar_spec = BarSpecification(100000, BarAggregation.VALUE,
                                    PriceType.BID)
        bar_type = BarType(instrument_id, bar_spec)
        aggregator = ValueBarAggregator(
            AUDUSD_SIM,
            bar_type,
            handler,
            Logger(TestClock()),
        )

        tick1 = QuoteTick(
            instrument_id=AUDUSD_SIM.id,
            bid=Price.from_str("1.00001"),
            ask=Price.from_str("1.00004"),
            bid_size=Quantity.from_int(3000),
            ask_size=Quantity.from_int(2000),
            ts_event_ns=0,
            ts_recv_ns=0,
        )

        # Act
        aggregator.handle_quote_tick(tick1)

        # Assert
        self.assertEqual(0, len(bar_store.get_store()))
        self.assertEqual(Decimal("3000.03000"),
                         aggregator.get_cumulative_value())
Beispiel #17
0
    def test_run_quote_ticks_through_aggregator_results_in_expected_bars(self):
        # Arrange
        bar_store = ObjectStorer()
        handler = bar_store.store
        instrument = AUDUSD_SIM
        bar_spec = BarSpecification(1000, BarAggregation.VOLUME, PriceType.MID)
        bar_type = BarType(instrument.id, bar_spec)
        aggregator = VolumeBarAggregator(
            instrument,
            bar_type,
            handler,
            Logger(TestClock()),
        )

        wrangler = QuoteTickDataWrangler(
            instrument=instrument,
            data_quotes=TestDataProvider.audusd_ticks(),
        )

        wrangler.pre_process(instrument_indexer=0, default_volume=1)
        ticks = wrangler.build_ticks()

        # Act
        for tick in ticks:
            aggregator.handle_quote_tick(tick)

        # Assert
        last_bar = bar_store.get_store()[-1]
        self.assertEqual(99, len(bar_store.get_store()))
        self.assertEqual(Price.from_str("0.669325"), last_bar.open)
        self.assertEqual(Price.from_str("0.669485"), last_bar.high)
        self.assertEqual(Price.from_str("0.66917"), last_bar.low)
        self.assertEqual(Price.from_str("0.66935"), last_bar.close)
        self.assertEqual(Quantity.from_int(1000), last_bar.volume)
Beispiel #18
0
    def test_run_trade_ticks_through_aggregator_results_in_expected_bars(self):
        # Arrange
        bar_store = ObjectStorer()
        handler = bar_store.store
        instrument = ETHUSDT_BINANCE
        bar_spec = BarSpecification(1000, BarAggregation.VOLUME,
                                    PriceType.LAST)
        bar_type = BarType(instrument.id, bar_spec)
        aggregator = VolumeBarAggregator(
            instrument,
            bar_type,
            handler,
            Logger(TestClock()),
        )

        wrangler = TradeTickDataWrangler(
            instrument=instrument,
            data=TestDataProvider.ethusdt_trades(),
        )

        wrangler.pre_process(instrument_indexer=0)
        ticks = wrangler.build_ticks()

        # Act
        for tick in ticks:
            aggregator.handle_trade_tick(tick)

        # Assert
        last_bar = bar_store.get_store()[-1]
        self.assertEqual(187, len(bar_store.get_store()))
        self.assertEqual(Price.from_str("426.44"), last_bar.open)
        self.assertEqual(Price.from_str("426.84"), last_bar.high)
        self.assertEqual(Price.from_str("426.00"), last_bar.low)
        self.assertEqual(Price.from_str("426.82"), last_bar.close)
        self.assertEqual(Quantity.from_int(1000), last_bar.volume)
Beispiel #19
0
    def test_handle_quote_tick_when_volume_below_threshold_updates(self):
        # Arrange
        bar_store = ObjectStorer()
        handler = bar_store.store
        instrument = AUDUSD_SIM
        bar_spec = BarSpecification(10000, BarAggregation.VOLUME,
                                    PriceType.BID)
        bar_type = BarType(instrument.id, bar_spec)
        aggregator = VolumeBarAggregator(
            instrument,
            bar_type,
            handler,
            Logger(TestClock()),
        )

        tick1 = QuoteTick(
            instrument_id=instrument.id,
            bid=Price.from_str("1.00001"),
            ask=Price.from_str("1.00004"),
            bid_size=Quantity.from_int(3000),
            ask_size=Quantity.from_int(2000),
            ts_event_ns=0,
            ts_recv_ns=0,
        )

        # Act
        aggregator.handle_quote_tick(tick1)

        # Assert
        self.assertEqual(0, len(bar_store.get_store()))
Beispiel #20
0
    def test_handle_trade_tick_when_volume_below_threshold_updates(self):
        # Arrange
        bar_store = ObjectStorer()
        handler = bar_store.store
        instrument = AUDUSD_SIM
        bar_spec = BarSpecification(10000, BarAggregation.VOLUME,
                                    PriceType.LAST)
        bar_type = BarType(instrument.id, bar_spec)
        aggregator = VolumeBarAggregator(
            instrument,
            bar_type,
            handler,
            Logger(TestClock()),
        )

        tick1 = TradeTick(
            instrument_id=instrument.id,
            price=Price.from_str("1.00001"),
            size=Quantity.from_int(1),
            aggressor_side=AggressorSide.BUY,
            match_id="123456",
            ts_event_ns=0,
            ts_recv_ns=0,
        )

        # Act
        aggregator.handle_trade_tick(tick1)

        # Assert
        self.assertEqual(0, len(bar_store.get_store()))
Beispiel #21
0
    def test_update_timed_with_test_clock_sends_single_bar_to_handler(self):
        # Arrange
        clock = TestClock()
        bar_store = ObjectStorer()
        handler = bar_store.store
        instrument_id = TestStubs.audusd_id()
        bar_spec = BarSpecification(1, BarAggregation.MINUTE, PriceType.MID)
        bar_type = BarType(instrument_id, bar_spec)
        aggregator = TimeBarAggregator(
            AUDUSD_SIM,
            bar_type,
            handler,
            True,
            TestClock(),
            Logger(clock),
        )

        tick1 = QuoteTick(
            instrument_id=AUDUSD_SIM.id,
            bid=Price.from_str("1.00001"),
            ask=Price.from_str("1.00004"),
            bid_size=Quantity.from_int(1),
            ask_size=Quantity.from_int(1),
            ts_event_ns=0,
            ts_recv_ns=0,
        )

        tick2 = QuoteTick(
            instrument_id=AUDUSD_SIM.id,
            bid=Price.from_str("1.00002"),
            ask=Price.from_str("1.00005"),
            bid_size=Quantity.from_int(1),
            ask_size=Quantity.from_int(1),
            ts_event_ns=0,
            ts_recv_ns=0,
        )

        tick3 = QuoteTick(
            instrument_id=AUDUSD_SIM.id,
            bid=Price.from_str("1.00000"),
            ask=Price.from_str("1.00003"),
            bid_size=Quantity.from_int(1),
            ask_size=Quantity.from_int(1),
            ts_event_ns=2 * 60 * 1_000_000_000,  # 2 minutes in nanoseconds
            ts_recv_ns=2 * 60 * 1_000_000_000,  # 2 minutes in nanoseconds
        )

        # Act
        aggregator.handle_quote_tick(tick1)
        aggregator.handle_quote_tick(tick2)
        aggregator.handle_quote_tick(tick3)

        # Assert
        assert len(bar_store.get_store()) == 1
        assert Price.from_str("1.000025") == bar_store.get_store()[0].open
        assert Price.from_str("1.000035") == bar_store.get_store()[0].high
        assert Price.from_str("1.000025") == bar_store.get_store()[0].low
        assert Price.from_str("1.000035") == bar_store.get_store()[0].close
        assert Quantity.from_int(2) == bar_store.get_store()[0].volume
        assert 60_000_000_000 == bar_store.get_store()[0].ts_recv_ns
Beispiel #22
0
    def test_given_list_of_ticks_aggregates_tick_bars(self):
        # Arrange
        tick_data = TestDataProvider.usdjpy_ticks()
        bid_data = TestDataProvider.usdjpy_1min_bid()
        ask_data = TestDataProvider.usdjpy_1min_ask()
        instrument = TestInstrumentProvider.default_fx_ccy("USD/JPY")
        self.wrangler = QuoteTickDataWrangler(
            instrument=instrument,
            data_quotes=tick_data,
            data_bars_bid={BarAggregation.MINUTE: bid_data},
            data_bars_ask={BarAggregation.MINUTE: ask_data},
        )
        self.wrangler.pre_process(0)

        bar_store = ObjectStorer()
        handler = bar_store.store
        instrument_id = TestStubs.usdjpy_id()
        bar_spec = BarSpecification(3, BarAggregation.TICK, PriceType.MID)
        bar_type = BarType(instrument_id, bar_spec)

        clock = TestClock()
        logger = Logger(clock)

        ticks = self.wrangler.build_ticks()
        builder = BulkTickBarBuilder(instrument, bar_type, logger, handler)

        # Act
        builder.receive(ticks)

        # Assert
        self.assertEqual(333, len(bar_store.get_store()[0]))
    def test_run_quote_ticks_through_aggregator_results_in_expected_bars(self):
        # Arrange
        bar_store = ObjectStorer()
        handler = bar_store.store
        instrument = AUDUSD_SIM
        bar_spec = BarSpecification(1000, BarAggregation.VOLUME, PriceType.MID)
        bar_type = BarType(instrument.id, bar_spec)
        aggregator = VolumeBarAggregator(
            instrument,
            bar_type,
            handler,
            Logger(TestClock()),
        )

        # Setup data
        wrangler = QuoteTickDataWrangler(instrument)
        provider = TestDataProvider()
        ticks = wrangler.process(
            data=provider.read_csv_ticks("truefx-audusd-ticks.csv")[:10000],
            default_volume=1,
        )

        # Act
        for tick in ticks:
            aggregator.handle_quote_tick(tick)

        # Assert
        last_bar = bar_store.get_store()[-1]
        assert len(bar_store.get_store()) == 10
        assert last_bar.open == Price.from_str("0.670635")
        assert last_bar.high == Price.from_str("0.670705")
        assert last_bar.low == Price.from_str("0.670370")
        assert last_bar.close == Price.from_str("0.670655")
        assert last_bar.volume == Quantity.from_int(1000)
    def setUp(self):
        # Fixture Setup
        self.clock = LiveClock()
        self.uuid_factory = UUIDFactory()
        self.logger = Logger(self.clock, level_stdout=LogLevel.DEBUG)

        self.cache = TestStubs.cache()

        self.portfolio = Portfolio(
            cache=self.cache,
            clock=self.clock,
            logger=self.logger,
        )

        # Fresh isolated loop testing pattern
        self.loop = asyncio.new_event_loop()
        asyncio.set_event_loop(self.loop)

        self.engine = LiveDataEngine(
            loop=self.loop,
            portfolio=self.portfolio,
            cache=self.cache,
            clock=self.clock,
            logger=self.logger,
        )

        self.client = LiveMarketDataClient(
            client_id=ClientId(BINANCE.value),
            engine=self.engine,
            clock=self.clock,
            logger=self.logger,
        )
    def test_handle_trade_tick_when_count_below_threshold_updates(self):
        # Arrange
        bar_store = ObjectStorer()
        handler = bar_store.store
        instrument = AUDUSD_SIM
        bar_spec = BarSpecification(3, BarAggregation.TICK, PriceType.LAST)
        bar_type = BarType(instrument.id, bar_spec)
        aggregator = TickBarAggregator(
            instrument,
            bar_type,
            handler,
            Logger(TestClock()),
        )

        tick1 = TradeTick(
            instrument_id=AUDUSD_SIM.id,
            price=Price.from_str("1.00001"),
            size=Quantity.from_int(1),
            aggressor_side=AggressorSide.BUY,
            trade_id="123456",
            ts_event=0,
            ts_init=0,
        )

        # Act
        aggregator.handle_trade_tick(tick1)

        # Assert
        assert len(bar_store.get_store()) == 0
    def test_handle_quote_tick_when_count_below_threshold_updates(self):
        # Arrange
        bar_store = ObjectStorer()
        handler = bar_store.store
        instrument = AUDUSD_SIM
        bar_spec = BarSpecification(3, BarAggregation.TICK, PriceType.MID)
        bar_type = BarType(instrument.id, bar_spec)
        aggregator = TickBarAggregator(
            instrument,
            bar_type,
            handler,
            Logger(TestClock()),
        )

        tick1 = QuoteTick(
            instrument_id=instrument.id,
            bid=Price.from_str("1.00001"),
            ask=Price.from_str("1.00004"),
            bid_size=Quantity.from_int(1),
            ask_size=Quantity.from_int(1),
            ts_event=0,
            ts_init=0,
        )

        # Act
        aggregator.handle_quote_tick(tick1)

        # Assert
        assert len(bar_store.get_store()) == 0
    def test_run_quote_ticks_through_aggregator_results_in_expected_bars(self):
        # Arrange
        bar_store = ObjectStorer()
        handler = bar_store.store
        instrument_id = TestStubs.audusd_id()
        bar_spec = BarSpecification(1000, BarAggregation.VALUE, PriceType.MID)
        bar_type = BarType(instrument_id, bar_spec)
        aggregator = ValueBarAggregator(bar_type, handler, Logger(TestClock()))

        wrangler = QuoteTickDataWrangler(
            instrument=AUDUSD_SIM,
            data_quotes=TestDataProvider.audusd_ticks(),
        )

        wrangler.pre_process(instrument_indexer=0)
        ticks = wrangler.build_ticks()

        # Act
        for tick in ticks:
            aggregator.handle_quote_tick(tick)

        # Assert
        last_bar = bar_store.get_store()[-1]
        self.assertEqual(67, len(bar_store.get_store()))
        # self.assertEqual(Price("0.66921"), last_bar.open)  # TODO: WIP - Check subtle differences
        # self.assertEqual(Price("0.669485"), last_bar.high)
        # self.assertEqual(Price("0.669205"), last_bar.low)
        # self.assertEqual(Price("0.669475"), last_bar.close)
        self.assertEqual(Quantity(1494), last_bar.volume)
    def setup(self):
        # Fixture Setup
        self.clock = TestClock()
        self.uuid_factory = UUIDFactory()
        self.logger = Logger(
            clock=self.clock,
            level_stdout=LogLevel.DEBUG,
        )

        self.trader_id = TestStubs.trader_id()
        self.account_id = TestStubs.account_id()
        self.venue = Venue("SIM")

        self.msgbus = MessageBus(
            trader_id=self.trader_id,
            clock=self.clock,
            logger=self.logger,
        )

        self.cache = TestStubs.cache()

        self.portfolio = Portfolio(
            msgbus=self.msgbus,
            cache=self.cache,
            clock=self.clock,
            logger=self.logger,
        )

        self.exec_engine = ExecutionEngine(
            msgbus=self.msgbus,
            cache=self.cache,
            clock=self.clock,
            logger=self.logger,
        )

        self.risk_engine = RiskEngine(
            portfolio=self.portfolio,
            msgbus=self.msgbus,
            cache=self.cache,
            clock=self.clock,
            logger=self.logger,
        )

        self.exec_client = MockExecutionClient(
            client_id=ClientId(self.venue.value),
            venue_type=VenueType.ECN,
            account_id=self.account_id,
            account_type=AccountType.MARGIN,
            base_currency=USD,
            msgbus=self.msgbus,
            cache=self.cache,
            clock=self.clock,
            logger=self.logger,
        )
        self.portfolio.update_account(TestStubs.event_margin_account_state())
        self.exec_engine.register_client(self.exec_client)

        # Prepare data
        self.cache.add_instrument(AUDUSD_SIM)
    def test_handle_trade_tick_when_volume_at_threshold_sends_bar_to_handler(
            self):
        # Arrange
        bar_store = ObjectStorer()
        handler = bar_store.store
        instrument_id = TestStubs.audusd_id()
        bar_spec = BarSpecification(10000, BarAggregation.VOLUME,
                                    PriceType.LAST)
        bar_type = BarType(instrument_id, bar_spec)
        aggregator = VolumeBarAggregator(bar_type, handler,
                                         Logger(TestClock()))

        tick1 = TradeTick(
            instrument_id=AUDUSD_SIM.id,
            price=Price.from_str("1.00001"),
            size=Quantity.from_int(3000),
            aggressor_side=AggressorSide.BUY,
            match_id=TradeMatchId("123456"),
            timestamp_origin_ns=0,
            timestamp_ns=0,
        )

        tick2 = TradeTick(
            instrument_id=AUDUSD_SIM.id,
            price=Price.from_str("1.00002"),
            size=Quantity.from_int(4000),
            aggressor_side=AggressorSide.BUY,
            match_id=TradeMatchId("123457"),
            timestamp_origin_ns=0,
            timestamp_ns=0,
        )

        tick3 = TradeTick(
            instrument_id=AUDUSD_SIM.id,
            price=Price.from_str("1.00000"),
            size=Quantity.from_int(3000),
            aggressor_side=AggressorSide.BUY,
            match_id=TradeMatchId("123458"),
            timestamp_origin_ns=0,
            timestamp_ns=0,
        )

        # Act
        aggregator.handle_trade_tick(tick1)
        aggregator.handle_trade_tick(tick2)
        aggregator.handle_trade_tick(tick3)

        # Assert
        self.assertEqual(1, len(bar_store.get_store()))
        self.assertEqual(Price.from_str("1.00001"),
                         bar_store.get_store()[0].open)
        self.assertEqual(Price.from_str("1.00002"),
                         bar_store.get_store()[0].high)
        self.assertEqual(Price.from_str("1.00000"),
                         bar_store.get_store()[0].low)
        self.assertEqual(Price.from_str("1.00000"),
                         bar_store.get_store()[0].close)
        self.assertEqual(Quantity.from_int(10000),
                         bar_store.get_store()[0].volume)
    def test_handle_trade_tick_when_volume_at_threshold_sends_bar_to_handler(
            self):
        # Arrange
        bar_store = ObjectStorer()
        handler = bar_store.store
        instrument = AUDUSD_SIM
        bar_spec = BarSpecification(10000, BarAggregation.VOLUME,
                                    PriceType.LAST)
        bar_type = BarType(instrument.id, bar_spec)
        aggregator = VolumeBarAggregator(
            instrument,
            bar_type,
            handler,
            Logger(TestClock()),
        )

        tick1 = TradeTick(
            instrument_id=instrument.id,
            price=Price.from_str("1.00001"),
            size=Quantity.from_int(3000),
            aggressor_side=AggressorSide.BUY,
            trade_id="123456",
            ts_event=0,
            ts_init=0,
        )

        tick2 = TradeTick(
            instrument_id=instrument.id,
            price=Price.from_str("1.00002"),
            size=Quantity.from_int(4000),
            aggressor_side=AggressorSide.BUY,
            trade_id="123457",
            ts_event=0,
            ts_init=0,
        )

        tick3 = TradeTick(
            instrument_id=instrument.id,
            price=Price.from_str("1.00000"),
            size=Quantity.from_int(3000),
            aggressor_side=AggressorSide.BUY,
            trade_id="123458",
            ts_event=0,
            ts_init=0,
        )

        # Act
        aggregator.handle_trade_tick(tick1)
        aggregator.handle_trade_tick(tick2)
        aggregator.handle_trade_tick(tick3)

        # Assert
        assert len(bar_store.get_store()) == 1
        assert bar_store.get_store()[0].open == Price.from_str("1.00001")
        assert bar_store.get_store()[0].high == Price.from_str("1.00002")
        assert bar_store.get_store()[0].low == Price.from_str("1.00000")
        assert bar_store.get_store()[0].close == Price.from_str("1.00000")
        assert bar_store.get_store()[0].volume == Quantity.from_int(10000)