# QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
# Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from AlgorithmImports import *
###
### Futures framework algorithm that uses open interest to select the active contract.
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class OpenInterestFuturesRegressionAlgorithm(QCAlgorithm):
expected_expiry_dates = {datetime(2013, 12, 27), datetime(2014,2,26)}
def Initialize(self):
self.UniverseSettings.Resolution = Resolution.Tick
self.SetStartDate(2013,10,8)
self.SetEndDate(2013,10,11)
self.SetCash(10000000)
# set framework models
universe = OpenInterestFutureUniverseSelectionModel(self, lambda date_time: [Symbol.Create(Futures.Metals.Gold, SecurityType.Future, Market.COMEX)], None, len(self.expected_expiry_dates))
self.SetUniverseSelection(universe)
def OnData(self,data):
if self.Transactions.OrdersCount == 0 and data.HasData:
matched = list(filter(lambda s: not (s.ID.Date in self.expected_expiry_dates), data.Keys))
if len(matched) != 0:
raise Exception(f"{len(matched)}/{len(slice.Keys)} were unexpected expiry date(s): " + ", ".join(list(map(lambda x: x.ID.Date, matched))))
for symbol in data.Keys:
self.MarketOrder(symbol, 1)
elif any(p.Value.Invested for p in self.Portfolio):
self.Liquidate()