Overall Statistics |
Total Trades 53 Average Win 1.07% Average Loss -2.66% Compounding Annual Return 14.424% Drawdown 4.000% Expectancy 0.140 Net Profit 14.410% Sharpe Ratio 2.019 Probabilistic Sharpe Ratio 79.713% Loss Rate 19% Win Rate 81% Profit-Loss Ratio 0.40 Alpha -0.013 Beta 0.501 Annual Standard Deviation 0.069 Annual Variance 0.005 Information Ratio -2.392 Tracking Error 0.069 Treynor Ratio 0.279 Total Fees $40.00 |
# 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 CoveredCallAlgorithm(QCAlgorithm): def Initialize(self): self.SetStartDate(2019, 1, 1) self.SetEndDate(2019, 12, 31) self.SetCash(25000) equity = self.AddEquity("SPY", Resolution.Minute) option = self.AddOption("SPY", Resolution.Minute) self.symbol = option.Symbol # set strike/expiry filter for this option chain option.SetFilter(0, +3, timedelta(0), timedelta(30)) # use the underlying equity as the benchmark self.SetBenchmark(equity.Symbol) # self.Schedule.On(DateRules.EveryDay("SPY"), TimeRules.AfterMarketOpen("SPY", 10) , self.EveryDayAfterMarketOpens) def OnData(self,slice): if not self.Portfolio["SPY"].Invested: # self.Log("Cash Balance before SPY purchase :" + str(self.Portfolio.Cash)) self.MarketOrder("SPY",100) # buy 100 shares of underlying stocks # self.Log("Cash Balance after SPY :" + str(self.Portfolio.Cash)) option_invested = [x.Key for x in self.Portfolio if x.Value.Invested and x.Value.Type==SecurityType.Option] if len(option_invested) < 1: self.TradeOptions(slice) # def EveryDayAfterMarketOpens(self,slice): # if not self.Portfolio["SPY"].Invested: # self.MarketOrder("SPY",100) # buy 100 shares of underlying stocks # option_invested = [x.Key for x in self.Portfolio if x.Value.Invested and x.Value.Type==SecurityType.Option] # if len(option_invested) < 1: # self.TradeOptions(slice) def TradeOptions(self,slice): for i in slice.OptionChains: if i.Key != self.symbol: continue # self.Log(str(i.Value.)) chain = i.Value # filter the call options contracts call = [x for x in chain if x.Right == OptionRight.Call] # self.Log(str(len(call))) # sorted the contracts according to their expiration dates and choose the ATM options contracts = sorted(sorted(call, key = lambda x: abs(chain.Underlying.Price - x.Strike)), key = lambda x: x.Expiry, reverse=True) if len(contracts) == 0: return # self.Log(contracts[0].Symbol) self.call = contracts[0].Symbol # short the call options self.DefaultOrderProperties.TimeInForce = TimeInForce.Day orderTicket = self.MarketOrder(self.call, -1, False) # self.Log("Cash Balance after Selling Call option for SPY :" + str(self.Portfolio.Cash)) # Buy Back the call option if falls in value self.DefaultOrderProperties.TimeInForce = TimeInForce.GoodTilCanceled self.LimitOrder(self.call, 1, orderTicket.AverageFillPrice * .1) def OnOrderEvent(self, orderEvent): self.Log(str(orderEvent)) self.Log("Cash Balance :" + str(self.Portfolio.Cash))