def test_time_bar_from_ask(self):
agg = BarAggregator(data_bus=self.event_bus, clock=self.simluation_clock, inst_id=1, input=self.input,
input_type=BarInputType.Ask)
agg.start()
self.assertEqual(0, len(self.event_bus.items))
self.time += 10000
t = Quote(timestamp=self.time, inst_id=1, ask=30, ask_size=100)
self.update(self.input, t)
self.assertEqual(1, agg.count())
self.assertTrue(len(self.event_bus.items) == 0)
self.time += 60000
t = Quote(timestamp=self.time, inst_id=1, ask=70, ask_size=300)
self.update(self.input, t)
items = self.event_bus.items
self.assertEqual(1, len(items))
self.assertEqual(1, agg.count())
self.assertEqual(
Bar(inst_id=1, begin_time=9000000000, timestamp=9000059999, type=1, size=60, open=30, high=30, low=30,
close=30, vol=100, adj_close=0), items[0])
self.event_bus.reset()
self.time += 49999
t = Quote(timestamp=self.time, inst_id=1, ask=20, ask_size=100)
self.update(self.input, t)
items = self.event_bus.items
self.assertEqual(1, len(items))
self.assertEqual(0, agg.count())
self.assertEqual(
Bar(inst_id=1, begin_time=9000060000, timestamp=9000119999, type=1, size=60, open=70, high=70, low=20,
close=20, vol=400, adj_close=0), items[0])
def test_subscribe_quotes(self, name, datastore):
start_date = date(2011, 1, 1)
end_date = date(2011, 1, 5)
sub_key = HistDataSubscriptionKey(
inst_id=10,
provider_id=Broker.IB,
subscription_type=QuoteSubscriptionType(),
from_date=start_date,
to_date=end_date)
date_val = start_date
expect_val = []
for i in range(1, 5):
persistable = Quote(timestamp=date_to_unixtimemillis(date_val),
bid=18 + i,
ask=19 + i,
bid_size=200,
ask_size=500,
inst_id=10)
datastore.save_quote(persistable)
expect_val.append(persistable)
date_val = date_val + timedelta(days=1)
actual_val = datastore.load_mktdata(sub_key)
self.assertEqual(expect_val, actual_val)
def get_latest_price(self):
price = self.inst_data_mgr.get_latest_price(1)
self.assertIsNone(price)
bar1 = Bar(inst_id=1, open=20, high=21, low=19, close=20.5)
self.inst_data_mgr.on_bar(bar1)
price = self.inst_data_mgr.get_latest_price(1)
self.assertEqual(20.5, price)
bar1 = Bar(inst_id=1,
open=20,
high=21,
low=19,
close=20.5,
adj_close=22)
self.inst_data_mgr.on_bar(bar1)
price = self.inst_data_mgr.get_latest_price(1)
self.assertEqual(22, price)
quote1 = Quote(inst_id=1, bid=18, ask=19, bid_size=200, ask_size=500)
self.inst_data_mgr.on_quote(quote1)
price = self.inst_data_mgr.get_latest_price(1)
self.assertEqual(18.5, price)
trade1 = Trade(inst_id=1, price=20, size=200)
self.inst_data_mgr.on_bar(trade1)
price = self.inst_data_mgr.get_latest_price(1)
self.assertEqual(20, price)
def test_quote_processor(self):
config = SimConfig()
processor = QuoteProcessor()
order = NewOrderRequest(cl_id='test',
cl_ord_id=1,
inst_id=1,
action=OrdAction.BUY,
type=OrdType.LIMIT,
qty=1000,
limit_price=18.5)
quote = Quote(bid=18, ask=19, bid_size=200, ask_size=500)
self.assertEqual(19, processor.get_price(order, quote, config))
self.assertEqual(500, processor.get_qty(order, quote, config))
order2 = NewOrderRequest(cl_id='test',
cl_ord_id=2,
inst_id=1,
action=OrdAction.SELL,
type=OrdType.LIMIT,
qty=1000,
limit_price=18.5)
self.assertEqual(18, processor.get_price(order2, quote, config))
self.assertEqual(200, processor.get_qty(order2, quote, config))
def test_quote(self, name, serializer):
item = Quote(bid=18,
ask=19,
bid_size=200,
ask_size=500,
inst_id=1,
timestamp=datetime.datetime.now())
SerializerTest.ser_deser(name, serializer, item)
def test_get_quote(self):
quote = self.inst_data_mgr.get_quote(1)
self.assertIsNone(quote)
quote1 = Quote(inst_id=1, bid=18, ask=19, bid_size=200, ask_size=500)
self.inst_data_mgr.on_quote(quote1)
quote = self.inst_data_mgr.get_quote(1)
self.assertEqual(quote1, quote)
def load_quotes(self, sub_key):
from_timestamp = DateUtils.date_to_unixtimemillis(sub_key.from_date)
to_timestamp = DateUtils.date_to_unixtimemillis(sub_key.to_date)
bound_stmt = self.query_quotes_stmt.bind([sub_key.inst_id, from_timestamp, to_timestamp])
result_list = self.session.execute(bound_stmt)
return [Quote(inst_id=r.inst_id, timestamp=r.timestamp, bid=r.bid, ask=r.ask, bid_size=r.bid_size,
ask_size=r.ask_size) for r in result_list]
def test_quote(self, name, datastore):
persistable = Quote(timestamp=clock.now(),
bid=18,
ask=19,
bid_size=200,
ask_size=500,
inst_id=999)
DataStoreTest.save_load(name, persistable, datastore,
datastore.save_quote, 'quotes')
def test_market_order_handler(self):
handler = MarketOrderHandler(self.config)
order = NewOrderRequest(cl_id='test', cl_ord_id=1, inst_id=1, action=OrdAction.BUY, type=OrdType.LIMIT,
qty=1000, limit_price=18.5)
quote = Quote(inst_id=1, bid=18, ask=19, bid_size=200, ask_size=500)
trade = Trade(inst_id=1, price=20, size=200)
fill_info = handler.process_w_price_qty(order, 18, 500)
self.assertEquals(18, fill_info.fill_price)
self.assertEquals(500, fill_info.fill_qty)
def __emit_market_data(self, field, record):
if record.quote_req and (
field == swigibpy.BID or field == swigibpy.BID_SIZE or field == swigibpy.ASK or field == swigibpy.ASK_SIZE) and record.bid > 0 and record.ask > 0:
self.data_event_bus.on_next(Quote(inst_id=record.inst_id, timestamp=self.app_context.clock.now(),
bid=record.bid,
bid_size=record.bid_size,
ask=record.ask,
ask_size=record.ask_size))
if record.trade_req and (field == swigibpy.LAST or field == swigibpy.LAST_SIZE) and record.last > 0:
self.data_event_bus.on_next(
Trade(inst_id=record.inst_id, timestamp=self.app_context.clock.now(), price=record.last,
size=record.last_size))
def test_time_bar_from_bid(self):
agg = BarAggregator(data_bus=self.event_bus, clock=self.simluation_clock, inst_id=1, input=self.input,
input_type=BarInputType.Bid)
agg.start()
self.assertEqual(0, len(self.event_bus.items))
self.time += 10000
t = Quote(timestamp=self.time, inst_id=1, bid=30, bid_size=100)
self.update(self.input, t)
self.assertEqual(1, agg.count())
self.assertTrue(len(self.event_bus.items) == 0)
self.time += 10000
t = Quote(timestamp=self.time, inst_id=1, bid=10, bid_size=200)
self.update(self.input, t)
self.assertEqual(2, agg.count())
self.assertTrue(len(self.event_bus.items) == 0)
self.time += 10000
t = Quote(timestamp=self.time, inst_id=1, bid=70, bid_size=300)
self.update(self.input, t)
self.assertEqual(3, agg.count())
self.assertTrue(len(self.event_bus.items) == 0)
self.time += 29998
t = Quote(timestamp=self.time, inst_id=1, bid=50, bid_size=400)
self.update(self.input, t)
self.assertEqual(4, agg.count())
self.assertTrue(len(self.event_bus.items) == 0)
self.time += 3
self.simluation_clock.update_time(self.time)
items = self.event_bus.items
self.assertEqual(1, len(items))
self.assertEqual(0, agg.count())
self.assertEqual(
Bar(inst_id=1, begin_time=9000000000, timestamp=9000059999, type=1, size=60, open=30, high=70, low=10,
close=50, vol=1000, adj_close=0), items[0])
def test_time_bar_from_mid(self):
agg = BarAggregator(data_bus=self.event_bus, clock=self.simluation_clock, inst_id=1, input=self.input,
input_type=BarInputType.Middle)
agg.start()
self.assertEqual(0, len(self.event_bus.items))
self.time += 59999
t = Quote(timestamp=self.time, inst_id=1, ask=30, ask_size=100, bid=18, bid_size=200)
self.update(self.input, t)
items = self.event_bus.items
self.assertEqual(1, len(items))
self.assertEqual(0, agg.count())
self.assertEqual(
Bar(inst_id=1, begin_time=9000000000, timestamp=9000059999, type=1, size=60, open=24, high=24, low=24,
close=24, vol=150, adj_close=0), items[0])
def test_on_market_date_update(self):
ord_req = NewOrderRequest(cl_id='test', cl_ord_id=1, portf_id="test", broker_id="Dummy", inst_id=1,
action=OrdAction.BUY, type=OrdType.LIMIT, qty=1000, limit_price=18.5,
timestamp=0)
order1 = self.portfolio.on_new_ord_req(ord_req)
er1 = ExecutionReport(cl_id='test', cl_ord_id=1, ord_id=1, er_id=1, inst_id=1, last_qty=500, last_price=18.4,
status=OrdStatus.PARTIALLY_FILLED, timestamp=1)
self.app_context.order_mgr.on_exec_report(er1)
expected_cash = 100000 - 500 * 18.4
expected_stock_value = 500 * 18.4
expected_total_equity = expected_cash + expected_stock_value
self.assertEqual(expected_cash, self.portfolio.cash)
self.assertEqual(expected_stock_value, self.portfolio.performance_series.get_by_idx(0, 'stock_value'))
self.assertEqual(expected_total_equity, self.portfolio.performance_series.get_by_idx(0, 'total_equity'))
self.portfolio.on_trade(Trade(inst_id=1, price=20, size=1000, timestamp=2))
expected_cash = 100000 - 500 * 18.4
expected_stock_value = 500 * 20
expected_total_equity = expected_cash + expected_stock_value
self.assertEqual(expected_cash, self.portfolio.cash)
self.assertEqual(expected_stock_value, self.portfolio.performance_series.get_by_idx(1, 'stock_value'))
self.assertEqual(expected_total_equity, self.portfolio.performance_series.get_by_idx(1, 'total_equity'))
self.portfolio.on_bar(Bar(inst_id=1, close=16, adj_close=16, vol=1000, timestamp=3))
expected_cash = 100000 - 500 * 18.4
expected_stock_value = 500 * 16
expected_total_equity = expected_cash + expected_stock_value
self.assertEqual(expected_cash, self.portfolio.cash)
self.assertEqual(expected_stock_value, self.portfolio.performance_series.get_by_idx(2, 'stock_value'))
self.assertEqual(expected_total_equity, self.portfolio.performance_series.get_by_idx(2, 'total_equity'))
self.portfolio.on_quote(Quote(inst_id=1, bid=16, ask=18, timestamp=4))
expected_cash = 100000 - 500 * 18.4
expected_stock_value = 500 * 17
expected_total_equity = expected_cash + expected_stock_value
self.assertEqual(expected_cash, self.portfolio.cash)
self.assertEqual(expected_stock_value, self.portfolio.performance_series.get_by_idx(3, 'stock_value'))
self.assertEqual(expected_total_equity, self.portfolio.performance_series.get_by_idx(3, 'total_equity'))
def load_all(self, clazz):
result_list = self.session.execute("select * from %s " % clazz)
if clazz == 'sequences':
return {result.id: result.seq for result in result_list}
else:
results = []
for r in result_list:
if clazz == 'bars':
obj = Bar(inst_id=r.inst_id, type=r.type, size=r.size, begin_time=r.begin_time,
timestamp=r.timestamp,
open=r.open, high=r.high, low=r.low, close=r.close, vol=r.vol, adj_close=r.adj_close)
elif clazz == 'trades':
obj = Trade(inst_id=r.inst_id, timestamp=r.timestamp, price=r.price, size=r.size)
elif clazz == 'quotes':
obj = Quote(inst_id=r.inst_id, timestamp=r.timestamp, bid=r.bid, ask=r.ask, bid_size=r.bid_size,
ask_size=r.ask_size)
elif clazz == 'market_depths':
obj = MarketDepth(inst_id=r.inst_id, provider_id=r.provider_id, timestamp=r.timestamp,
position=r.position, operation=r.operation, side=r.side, price=r.price,
size=r.size)
elif clazz == 'instruments':
obj = Instrument(inst_id=r.inst_id, name=r.name, type=r.type, symbol=r.symbol, exch_id=r.exch_id,
ccy_id=r.ccy_id, alt_symbol=r.alt_symbol, alt_exch_id=r.alt_exch_id,
sector=r.sector,
industry=r.industry, und_inst_id=r.und_inst_id, expiry_date=r.expiry_date,
factor=r.factor,
strike=r.strike, put_call=r.put_call, margin=r.margin)
elif clazz == 'currencies':
obj = Currency(ccy_id=r.ccy_id, name=r.name)
elif clazz == 'exchanges':
obj = Exchange(exch_id=r.exch_id, name=r.name)
else:
obj = self.serializer.deserialize(r.data)
results.append(obj)
return results
def test_multi_subscriptions(self, name, datastore):
start_date = date(2011, 1, 1)
end_date = date(2011, 1, 5)
sub_key1 = HistDataSubscriptionKey(
inst_id=99,
provider_id=Broker.IB,
subscription_type=BarSubscriptionType(bar_type=BarType.Time,
bar_size=BarSize.D1),
from_date=start_date,
to_date=end_date)
sub_key2 = HistDataSubscriptionKey(
inst_id=99,
provider_id=Broker.IB,
subscription_type=QuoteSubscriptionType(),
from_date=start_date,
to_date=end_date)
sub_key3 = HistDataSubscriptionKey(
inst_id=99,
provider_id=Broker.IB,
subscription_type=TradeSubscriptionType(),
from_date=start_date,
to_date=end_date)
expect_val = []
# out of range
persistable = Bar(timestamp=date_to_unixtimemillis(date(2010, 12, 31)),
type=BarType.Time,
size=BarSize.D1,
inst_id=99,
open=18,
high=19,
low=17,
close=17.5,
vol=100)
datastore.save_bar(persistable)
persistable = Bar(timestamp=date_to_unixtimemillis(date(2011, 1, 1)),
type=BarType.Time,
size=BarSize.D1,
inst_id=99,
open=28,
high=29,
low=27,
close=27.5,
vol=100)
datastore.save_bar(persistable)
expect_val.append(persistable)
persistable = Trade(timestamp=date_to_unixtimemillis(date(2011, 1, 2)),
price=20,
size=200,
inst_id=99)
datastore.save_trade(persistable)
expect_val.append(persistable)
persistable = Trade(timestamp=date_to_unixtimemillis(date(2011, 1, 3)),
price=30,
size=200,
inst_id=99)
datastore.save_trade(persistable)
expect_val.append(persistable)
# not same instrument
persistable = Quote(timestamp=date_to_unixtimemillis(date(2011, 1, 3)),
bid=18,
ask=19,
bid_size=200,
ask_size=500,
inst_id=11)
datastore.save_quote(persistable)
persistable = Quote(timestamp=date_to_unixtimemillis(date(2011, 1, 4)),
bid=18,
ask=19,
bid_size=200,
ask_size=500,
inst_id=99)
datastore.save_quote(persistable)
expect_val.append(persistable)
# out of range
persistable = Quote(timestamp=date_to_unixtimemillis(date(2011, 1, 5)),
bid=28,
ask=29,
bid_size=200,
ask_size=500,
inst_id=99)
datastore.save_quote(persistable)
actual_val = datastore.load_mktdata(sub_key1, sub_key2, sub_key3)
self.assertEqual(expect_val, actual_val)
def test_simulation_clock_current_date_time_with_quote(self):
timestamp = ClockTest.ts + 10
quote = Quote(timestamp=timestamp)
self.simluation_clock.on_quote(quote)
self.assertEquals(timestamp, self.simluation_clock.now())
import zerorpc
from algotrader.event.market_data import Bar, Quote, Trade
from algotrader.event.order import NewOrderRequest, OrdAction, OrdType
c = zerorpc.Client()
c.connect("tcp://127.0.0.1:14242")
bar = Bar(open=18, high=19, low=17, close=17.5, vol=1000)
quote = Quote(bid=18, ask=19, bid_size=200, ask_size=500)
trade = Trade(price=20, size=200)
order = NewOrderRequest(ord_id=1,
inst_id=1,
action=OrdAction.BUY,
type=OrdType.LIMIT,
qty=1000,
limit_price=18.5)
print c.on_order(order)