| Overall Statistics |
|
Total Trades 9 Average Win 1.97% Average Loss -1.50% Compounding Annual Return -6.283% Drawdown 1.100% Expectancy -0.074 Net Profit -1.058% Sharpe Ratio -4.141 Loss Rate 60% Win Rate 40% Profit-Loss Ratio 1.32 Alpha -0.048 Beta -0.016 Annual Standard Deviation 0.015 Annual Variance 0 Information Ratio -6.663 Tracking Error 0.144 Treynor Ratio 3.896 Total Fees $2.00 |
# 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 ButterflySpreadAlgorithm(QCAlgorithm):
def Initialize(self):
self.SetStartDate(2017, 4, 1)
self.SetEndDate(2017, 5, 30)
self.SetCash(150000)
equity = self.AddEquity("GOOG", Resolution.Minute)
option = self.AddOption("GOOG", Resolution.Minute)
self.symbol = option.Symbol
# set our strike/expiry filter for this option chain
option.SetFilter(-9, 9, timedelta(30), timedelta(60))
# use the underlying equity GOOG as the benchmark
self.SetBenchmark(equity.Symbol)
def OnData(self,slice):
# if there is no securities in portfolio, trade the options
if not self.Portfolio.Invested and self.Time.hour != 0 and self.Time.minute != 0:
for i in slice.OptionChains:
if i.Key != self.symbol: continue
chain = i.Value
# sorted the optionchain by expiration date and choose the furthest date
expiry = sorted(chain,key = lambda x: x.Expiry, reverse=True)[0].Expiry
# filter the call options from the contracts expires on that date
call = [i for i in chain if i.Expiry == expiry and i.Right == 0]
# sorted the contracts according to their strike prices
call_contracts = sorted(call,key = lambda x: x.Strike)
if len(call_contracts) == 0: continue
# choose OTM call
self.otm_call = call_contracts[-1]
# choose ITM call
self.itm_call = call_contracts[0]
# choose ATM call
self.atm_call = sorted(call_contracts,key = lambda x: abs(chain.Underlying.Price - x.Strike))[0]
self.Sell(self.atm_call.Symbol ,2)
self.Buy(self.itm_call.Symbol ,1)
self.Buy(self.otm_call.Symbol ,1)
def OnOrderEvent(self, orderEvent):
self.Log(str(orderEvent))