Files
quantconnect--lean/Algorithm.Python/CoveredAndProtectivePutStrategiesAlgorithm.py
T

91 lines
4.5 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 algorithm demonstrate how to use OptionStrategies helper class to batch send orders for common strategies.
### In this case, the algorithm tests the Covered and Protective Put strategies.
### </summary>
class CoveredAndProtectivePutStrategiesAlgorithm(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:
for kvp in slice.OptionChains:
chain = kvp.Value
contracts = sorted(sorted(chain, key = lambda x: abs(chain.Underlying.Price - x.Strike)),
key = lambda x: x.Expiry, reverse=True)
if len(contracts) == 0: continue
contract = contracts[0]
if contract != None:
self._covered_put = OptionStrategies.CoveredPut(self._option_symbol, contract.Strike, contract.Expiry)
self._protective_put = OptionStrategies.ProtectivePut(self._option_symbol, contract.Strike, contract.Expiry)
self.Buy(self._covered_put, 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)}")
optionPosition = [position for position in positions if position.Symbol.SecurityType == SecurityType.Option][0]
if optionPosition.Symbol.ID.OptionRight != OptionRight.Put:
raise Exception(f"Expected option position to be a put. Actual: {optionPosition.Symbol.ID.OptionRight}")
underlyingPosition = [position for position in positions if position.Symbol.SecurityType == SecurityType.Equity][0]
expectedOptionPositionQuantity = -2
expectedUnderlyingPositionQuantity = -2 * self.Securities[self._option_symbol].SymbolProperties.ContractMultiplier
if optionPosition.Quantity != expectedOptionPositionQuantity:
raise Exception(f"Expected option position quantity to be {expectedOptionPositionQuantity}. Actual: {optionPosition.Quantity}")
if underlyingPosition.Quantity != expectedUnderlyingPositionQuantity:
raise Exception(f"Expected underlying position quantity to be {expectedUnderlyingPositionQuantity}. Actual: {underlyingPosition.Quantity}")
# Now we should be able to close the position using the inverse strategy (a protective put)
self.Buy(self._protective_put, 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 covered put and 2 for the liquidation. "
f"Actual {orders_count}")
def OnOrderEvent(self, orderEvent):
self.Debug(str(orderEvent))