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quantconnect--lean/Algorithm.Python/LongAndShortStrangleStrategiesAlgorithm.py
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Jhonathan Abreu 90a2c06a4c
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Add ShortStaddle and ShortStrangle strategies helper factory methods (#7300)
2023-06-07 16:55:47 -03:00

108 lines
5.4 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.
import itertools
from AlgorithmImports import *
### <summary>
### This algorithm demonstrate how to use OptionStrategies helper class to batch send orders for common strategies.
### In this case, the algorithm tests the Strangle and Short Strangle strategies.
### </summary>
class LongAndShortStrangleStrategiesAlgorithm(QCAlgorithm):
def Initialize(self):
self.SetStartDate(2015, 12, 24)
self.SetEndDate(2015, 12, 24)
self.SetCash(1000000)
option = self.AddOption("GOOG")
self._option_symbol = option.Symbol
option.SetFilter(-2, +2, 0, 180)
self.SetBenchmark("GOOG")
def OnData(self,slice):
if not self.Portfolio.Invested:
chain = slice.OptionChains.get(self._option_symbol)
if chain is not None:
contracts = sorted(sorted(chain, key=lambda x: abs(chain.Underlying.Price - x.Strike)),
key=lambda x: x.Expiry, reverse=True)
groupedContracts = (list(group) for _, group in itertools.groupby(contracts, lambda x: x.Expiry))
callContract = None
putContract = None
for group in groupedContracts:
callContracts = sorted((contract for contract in group if contract.Right == OptionRight.Call),
key=lambda x: x.Strike, reverse=True)
putContracts = sorted((contract for contract in group if contract.Right == OptionRight.Put),
key=lambda x: x.Strike)
if len(callContracts) > 0 and len(putContracts) > 0 and callContracts[0].Strike > putContracts[0].Strike:
callContract = callContracts[0]
putContract = putContracts[0]
break
if callContract is not None and putContract is not None:
self._strangle = OptionStrategies.Strangle(self._option_symbol, callContract.Strike, putContract.Strike, callContract.Expiry)
self._short_strangle = OptionStrategies.ShortStrangle(self._option_symbol, callContract.Strike, putContract.Strike,
callContract.Expiry)
self.Buy(self._strangle, 2)
else:
# Verify that the strategy was traded
positionGroup = list(self.Portfolio.Positions.Groups)[0]
buyingPowerModel = positionGroup.BuyingPowerModel
if not isinstance(buyingPowerModel, OptionStrategyPositionGroupBuyingPowerModel):
raise Exception("Expected position group buying power model type: OptionStrategyPositionGroupBuyingPowerModel. "
f"Actual: {type(positionGroup.BuyingPowerModel).__name__}")
positions = list(positionGroup.Positions)
if len(positions) != 2:
raise Exception(f"Expected position group to have 2 positions. Actual: {len(positions)}")
callPosition = next((position for position in positions if position.Symbol.ID.OptionRight == OptionRight.Call), None)
if callPosition is None:
raise Exception("Expected position group to have a call position")
putPosition = next((position for position in positions if position.Symbol.ID.OptionRight == OptionRight.Put), None)
if putPosition is None:
raise Exception("Expected position group to have a put position")
expectedCallPositionQuantity = 2
expectedPutPositionQuantity = 2
if callPosition.Quantity != expectedCallPositionQuantity:
raise Exception(f"Expected call position quantity to be {expectedCallPositionQuantity}. Actual: {callPosition.Quantity}")
if putPosition.Quantity != expectedPutPositionQuantity:
raise Exception(f"Expected put position quantity to be {expectedPutPositionQuantity}. Actual: {putPosition.Quantity}")
# Now we should be able to close the position using the inverse strategy (a short strangle)
self.Buy(self._short_strangle, 2);
# We can quit now, no more testing required
self.Quit();
def OnEndOfAlgorithm(self):
if self.Portfolio.Invested:
raise Exception("Expected no holdings at end of algorithm")
orders_count = len(list(self.Transactions.GetOrders(lambda order: order.Status == OrderStatus.Filled)))
if orders_count != 4:
raise Exception("Expected 4 orders to have been submitted and filled, 2 for buying the strangle and 2 for the liquidation. "
f"Actual {orders_count}")
def OnOrderEvent(self, orderEvent):
self.Debug(str(orderEvent))