Files
quantconnect--lean/Algorithm.Python/FutureOptionBuySellCallIntradayRegressionAlgorithm.py
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Martin-Molinero 03f56481d4
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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

79 lines
3.6 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 In The Money (ITM) future option calls across different strike prices.
### We expect 6 orders from the algorithm, which are:
###
### * (1) Initial entry, buy ES Call Option (ES19M20 expiring ITM)
### * (2) Initial entry, sell ES Call Option at different strike (ES20H20 expiring ITM)
### * [2] Option assignment, opens a position in the underlying (ES20H20, Qty: -1)
### * [2] Future contract liquidation, due to impending expiry
### * [1] Option exercise, receive 1 ES19M20 future contract
### * [1] Liquidate ES19M20 contract, due to expiry
###
### Additionally, we test delistings for future options and assert that our
### portfolio holdings reflect the orders the algorithm has submitted.
### </summary>
class FutureOptionBuySellCallIntradayRegressionAlgorithm(QCAlgorithm):
def Initialize(self):
self.SetStartDate(2020, 1, 5)
self.SetEndDate(2020, 6, 30)
self.es20h20 = self.AddFutureContract(
Symbol.CreateFuture(
Futures.Indices.SP500EMini,
Market.CME,
datetime(2020, 3, 20)
),
Resolution.Minute).Symbol
self.es19m20 = self.AddFutureContract(
Symbol.CreateFuture(
Futures.Indices.SP500EMini,
Market.CME,
datetime(2020, 6, 19)
),
Resolution.Minute).Symbol
# Select a future option expiring ITM, and adds it to the algorithm.
self.esOptions = [
self.AddFutureOptionContract(i, Resolution.Minute).Symbol for i in (self.OptionChainProvider.GetOptionContractList(self.es19m20, self.Time) + self.OptionChainProvider.GetOptionContractList(self.es20h20, self.Time)) if i.ID.StrikePrice == 3200.0 and i.ID.OptionRight == OptionRight.Call
]
self.expectedContracts = [
Symbol.CreateOption(self.es20h20, Market.CME, OptionStyle.American, OptionRight.Call, 3200.0, datetime(2020, 3, 20)),
Symbol.CreateOption(self.es19m20, Market.CME, OptionStyle.American, OptionRight.Call, 3200.0, datetime(2020, 6, 19))
]
for esOption in self.esOptions:
if esOption not in self.expectedContracts:
raise AssertionError(f"Contract {esOption} was not found in the chain")
self.Schedule.On(self.DateRules.Tomorrow, self.TimeRules.AfterMarketOpen(self.es19m20, 1), self.ScheduleCallbackBuy)
self.Schedule.On(self.DateRules.Tomorrow, self.TimeRules.Noon, self.ScheduleCallbackLiquidate)
def ScheduleCallbackBuy(self):
self.MarketOrder(self.esOptions[0], 1)
self.MarketOrder(self.esOptions[1], -1)
def ScheduleCallbackLiquidate(self):
self.Liquidate()
def OnEndOfAlgorithm(self):
if self.Portfolio.Invested:
raise AssertionError(f"Expected no holdings at end of algorithm, but are invested in: {', '.join([str(i.ID) for i in self.Portfolio.Keys])}")