Overall Statistics |
Total Trades 114 Average Win 0.29% Average Loss 0% Compounding Annual Return 17.701% Drawdown 41.500% Expectancy 0 Net Profit 40.256% Sharpe Ratio 0.736 Loss Rate 0% Win Rate 100% Profit-Loss Ratio 0 Alpha 0.34 Beta -7.381 Annual Standard Deviation 0.265 Annual Variance 0.07 Information Ratio 0.662 Tracking Error 0.265 Treynor Ratio -0.026 Total Fees $150.00 |
# limitations under the License. from datetime import timedelta class CoveredCallOptionsAlgorithm(QCAlgorithm): def Initialize(self): self.SetStartDate(2017, 1, 1) self.SetEndDate(2019, 1, 28) self.SetCash(1000000) self.tickers = ["AAPL","IBM","CAT","BA","INTC","NVDA"] for ticker in self.tickers: equity = self.AddEquity(ticker, Resolution.Minute) equity.SetDataNormalizationMode(DataNormalizationMode.Raw) # Initialize the call contract self.put = str() def OnData(self,slice): for underlying in self.tickers: self.underlying = underlying #if not self.Portfolio[self.underlying].Invested: #self.SetHoldings(self.underlying, 0.05) # long the underlying stock if not (self.Securities.ContainsKey(self.put)): self.put = self.AddContract(slice) # Add the call option contract (subscribe the contract data) if self.Securities.ContainsKey(self.put) and not self.Portfolio[self.put].Invested: self.Sell(self.put, 10) # short the call option self.put = str() def AddContract(self,slice): filtered_contracts = self.InitialFilter(-3, 3, 0, 30) if len(filtered_contracts) == 0: return str() else: put = [x for x in filtered_contracts if x.ID.OptionRight == OptionRight.Put] # sorted the contracts according to their expiration dates and choose the ATM options contracts = sorted(sorted(put, 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))