| Overall Statistics |
|
Total Trades 2 Average Win 0% Average Loss -0.24% Compounding Annual Return -72.803% Drawdown 0.300% Expectancy -1 Net Profit -0.240% Sharpe Ratio 0 Loss Rate 100% Win Rate 0% Profit-Loss Ratio 0 Alpha 0 Beta 0 Annual Standard Deviation 0 Annual Variance 0 Information Ratio 0 Tracking Error 0 Treynor Ratio 0 Total Fees $0.50 |
# 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 clr import AddReference
AddReference("System")
AddReference("QuantConnect.Algorithm")
AddReference("QuantConnect.Common")
from System import *
from QuantConnect import *
from QuantConnect.Algorithm import *
from datetime import timedelta
class BasicTemplateOptionsAlgorithm(QCAlgorithm):
'''This example demonstrates how to add options for a given underlying equity security.
It also shows how you can prefilter contracts easily based on strikes and expirations.
It also shows how you can inspect the option chain to pick a specific option contract to trade.'''
def Initialize(self):
self.SetStartDate(2015, 12, 24)
self.SetEndDate(2015, 12, 24)
self.SetCash(100000)
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(-2, +2, timedelta(0), timedelta(180))
# use the underlying equity as the benchmark
self.SetBenchmark(equity.Symbol)
def OnData(self,slice):
if self.Portfolio.Invested: return
for kvp in slice.OptionChains:
if kvp.Key != self.symbol: continue
chain = kvp.Value
# we sort the contracts to find at the money (ATM) contract with farthest expiration
contracts = sorted(sorted(chain, \
key = lambda x: abs(chain.Underlying.Price - x.Strike)), \
key = lambda x: x.Expiry, reverse=True)
# if found, trade it
if len(contracts) == 0: continue
symbol = contracts[0].Symbol
self.MarketOrder(symbol, 1)
self.MarketOnCloseOrder(symbol, -1)
def OnOrderEvent(self, orderEvent):
self.Log(str(orderEvent))