Files
quantconnect--lean/Algorithm.Python/OpenInterestFuturesRegressionAlgorithm.py
T
Martin-Molinero 4d55493000 Future and option universe selection improvements (#7313)
* Normalize universe selection future and option creation

- Normalize universe selection future and option creation to include
  canonical securities enabling continuous future support

* Update existing regression algorithms

* Self review

* Address review

* Extra regression test check
2023-06-13 10:32:26 -03:00

45 lines
2.1 KiB
Python

# 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 *
### <summary>
### Futures framework algorithm that uses open interest to select the active contract.
### </summary>
### <meta name="tag" content="regression test" />
### <meta name="tag" content="futures" />
### <meta name="tag" content="using data" />
### <meta name="tag" content="filter selection" />
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) and not s.IsCanonical(), 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()