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master
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master
copilot/find-syntax-test-issue
dynamic-cache-mock-20230220
bug-milk-class-3-future-options-expiration
bug-buying-power-model-convergence
ccxt-pro-integration
feature-ib-fa-groups
feature-python-dataframe-performance-2
feature-notebook-engine
bug-4764-option-auto-exercise-early-market-close-regression-algorithm
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performance-nary-tree-synchronizer
feature-optimize-python-load
feature-1093-vwap-order-type
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Lean
/
Algorithm.Python
/
LongAndShortStrangleStrategiesAlgorit...
Lean
/
Algorithm.Python
/
LongAndShortStrangleStrategiesAlgorit...
LongAndShortStrangleStrategiesAlgorithm.py 4.03 KB
一键复制 编辑 原始数据 按行查看 历史
Martin-Molinero 提交于 2025年03月28日 21:36 +08:00 . Add python syntax check (#8651)
# 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 *
from OptionStrategyFactoryMethodsBaseAlgorithm 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(OptionStrategyFactoryMethodsBaseAlgorithm):
def expected_orders_count(self) -> int:
return 4
def trade_strategy(self, chain: OptionChain, option_symbol: Symbol):
contracts = sorted(sorted(chain, key=lambda x: abs(chain.underlying.price - x.strike)),
key=lambda x: x.expiry, reverse=True)
grouped_contracts = (list(group) for _, group in itertools.groupby(contracts, lambda x: x.expiry))
call_contract = None
put_contract = None
for group in grouped_contracts:
call_contracts = sorted((contract for contract in group if contract.right == OptionRight.CALL),
key=lambda x: x.strike, reverse=True)
put_contracts = sorted((contract for contract in group if contract.right == OptionRight.PUT),
key=lambda x: x.strike)
if len(call_contracts) > 0 and len(put_contracts) > 0 and call_contracts[0].strike > put_contracts[0].strike:
call_contract = call_contracts[0]
put_contract = put_contracts[0]
break
if call_contract is not None and put_contract is not None:
self._strangle = OptionStrategies.strangle(option_symbol, call_contract.strike, put_contract.strike, call_contract.expiry)
self._short_strangle = OptionStrategies.short_strangle(option_symbol, call_contract.strike, put_contract.strike,
call_contract.expiry)
self.buy(self._strangle, 2)
def assert_strategy_position_group(self, position_group: IPositionGroup, option_symbol: Symbol):
positions = list(position_group.positions)
if len(positions) != 2:
raise AssertionError(f"Expected position group to have 2 positions. Actual: {len(positions)}")
call_position = next((position for position in positions if position.symbol.id.option_right == OptionRight.CALL), None)
if call_position is None:
raise AssertionError("Expected position group to have a call position")
put_position = next((position for position in positions if position.symbol.id.option_right == OptionRight.PUT), None)
if put_position is None:
raise AssertionError("Expected position group to have a put position")
expected_call_position_quantity = 2
expected_put_position_quantity = 2
if call_position.quantity != expected_call_position_quantity:
raise AssertionError(f"Expected call position quantity to be {expected_call_position_quantity}. Actual: {call_position.quantity}")
if put_position.quantity != expected_put_position_quantity:
raise AssertionError(f"Expected put position quantity to be {expected_put_position_quantity}. Actual: {put_position.quantity}")
def liquidate_strategy(self):
# We should be able to close the position using the inverse strategy (a short strangle)
self.buy(self._short_strangle, 2)
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