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quantconnect--lean/Algorithm.Python/OptionSplitRegressionAlgorithm.py
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Martin-Molinero 03f56481d4
Regression Tests / build (push) Has been cancelled
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Refactor python algorithm import (#5657)
* Python research import improvements

- Improve start.py for research env
- Remove unrequired imports

* Centralize algorithm imports

* Add regression test GH action

* Unit test python import clean up

* Join research and main imports

* More python import clean up

* Fix failing skipped regression algorithm
2021-06-15 19:06:06 -03:00

71 lines
3.0 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>
### This regression algorithm tests option exercise and assignment functionality
### We open two positions and go with them into expiration. We expect to see our long position exercised and short position assigned.
### </summary>
### <meta name="tag" content="regression test" />
### <meta name="tag" content="options" />
class OptionSplitRegressionAlgorithm(QCAlgorithm):
def Initialize(self):
# this test opens position in the first day of trading, lives through stock split (7 for 1),
# and closes adjusted position on the second day
self.SetCash(1000000)
self.SetStartDate(2014,6,6)
self.SetEndDate(2014,6,9)
option = self.AddOption("AAPL")
# set our strike/expiry filter for this option chain
option.SetFilter(self.UniverseFunc)
self.SetBenchmark("AAPL")
self.contract = None
def OnData(self, slice):
if not self.Portfolio.Invested:
if self.Time.hour > 9 and self.Time.minute > 0:
for kvp in slice.OptionChains:
chain = kvp.Value
contracts = filter(lambda x: x.Strike == 650 and x.Right == OptionRight.Call, chain)
sorted_contracts = sorted(contracts, key = lambda x: x.Expiry)
if len(sorted_contracts) > 1:
self.contract = sorted_contracts[1]
self.Buy(self.contract.Symbol, 1)
elif self.Time.day > 6 and self.Time.hour > 14 and self.Time.minute > 0:
self.Liquidate()
if self.Portfolio.Invested:
options_hold = [x for x in self.Portfolio.Securities if x.Value.Holdings.AbsoluteQuantity != 0]
holdings = options_hold[0].Value.Holdings.AbsoluteQuantity
if self.Time.day == 6 and holdings != 1:
self.Log("Expected position quantity of 1 but was {0}".format(holdings))
if self.Time.day == 9 and holdings != 7:
self.Log("Expected position quantity of 7 but was {0}".format(holdings))
# set our strike/expiry filter for this option chain
def UniverseFunc(self, universe):
return universe.IncludeWeeklys().Strikes(-2, 2).Expiration(timedelta(0), timedelta(365*2))
def OnOrderEvent(self, orderEvent):
self.Log(str(orderEvent))