| Overall Statistics |
|
Total Trades 8 Average Win 0.16% Average Loss 0% Compounding Annual Return 5.038% Drawdown 0.400% Expectancy 0 Net Profit 0.807% Sharpe Ratio 4.052 Loss Rate 0% Win Rate 100% Profit-Loss Ratio 0 Alpha 0.014 Beta 0.066 Annual Standard Deviation 0.012 Annual Variance 0 Information Ratio -3.577 Tracking Error 0.128 Treynor Ratio 0.72 Total Fees $3.75 |
# 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 datetime import timedelta
class CoveredCallOptionsAlgorithm(QCAlgorithm):
def Initialize(self):
self.SetStartDate(2017, 1, 1)
self.SetEndDate(2017, 3, 1)
self.SetCash(100000)
equity = self.AddEquity("IBM", Resolution.Minute)
equity.SetDataNormalizationMode(DataNormalizationMode.Raw)
self.underlying = equity.Symbol
# use the underlying equity as the benchmark
self.SetBenchmark(self.underlying)
# Initialize the call contract
self.call = str()
def OnData(self,slice):
if not self.Portfolio[self.underlying].Invested:
self.MarketOrder(self.underlying, 100) # long the underlying stock
if not (self.Securities.ContainsKey(self.call) and self.Portfolio[self.underlying].Invested):
self.call = self.AddContract(slice) # Add the call option contract (subscribe the contract data)
if self.Securities.ContainsKey(self.call) and not self.Portfolio[self.call].Invested:
self.Sell(self.call, 1) # short the call option
def AddContract(self,slice):
filtered_contracts = self.InitialFilter(-3, 3, 0, 30)
if len(filtered_contracts) == 0: return str()
else:
call = [x for x in filtered_contracts if x.ID.OptionRight == OptionRight.Call]
# sorted the contracts according to their expiration dates and choose the ATM options
contracts = sorted(sorted(call, key = lambda x: abs(self.Securities[self.underlying].Price- x.ID.StrikePrice)),
key = lambda x: x.ID.Date, reverse=True)
if len(contracts) > 0:
self.AddOptionContract(contracts[0], Resolution.Minute)
return contracts[0]
else:
return str()
def InitialFilter(self, min_strike_rank, max_strike_rank, min_expiry, max_expiry):
''' This method is an initial filter of option contracts
according to the range of strike price and the expiration date '''
contracts = self.OptionChainProvider.GetOptionContractList(self.underlying, self.Time.date())
if len(contracts) == 0 : return []
# fitler the contracts based on the expiry range
contract_list = [i for i in contracts if min_expiry < (i.ID.Date.date() - self.Time.date()).days < max_expiry]
# find the strike price of ATM option
atm_strike = sorted(contract_list,
key = lambda x: abs(x.ID.StrikePrice - self.Securities[self.underlying].Price))[0].ID.StrikePrice
strike_list = sorted(set([i.ID.StrikePrice for i in contract_list]))
# find the index of ATM strike in the sorted strike list
atm_strike_rank = strike_list.index(atm_strike)
try:
strikes = strike_list[(atm_strike_rank + min_strike_rank):(atm_strike_rank + max_strike_rank)]
except:
strikes = strike_list
filtered_contracts = [i for i in contract_list if i.ID.StrikePrice in strikes]
return filtered_contracts
def OnOrderEvent(self, orderEvent):
self.Log(str(orderEvent))