Overall Statistics |
Total Trades 3 Average Win 0% Average Loss -1.27% Compounding Annual Return 2.893% Drawdown 7.200% Expectancy -1 Net Profit 5.884% Sharpe Ratio 0.6 Loss Rate 100% Win Rate 0% Profit-Loss Ratio 0 Alpha 0.014 Beta 0.255 Annual Standard Deviation 0.05 Annual Variance 0.002 Information Ratio -0.242 Tracking Error 0.137 Treynor Ratio 0.117 Total Fees $3.00 |
from datetime import timedelta class OptionsAlgorithm(QCAlgorithm): def Initialize(self): self.SetStartDate(2015, 11, 1) self.SetEndDate(2017, 11, 1) self.SetCash(50000) self.syl = 'IBM' equity = self.AddEquity(self.syl, Resolution.Minute) equity.SetDataNormalizationMode(DataNormalizationMode.Raw) self.macd = self.MACD(self.syl, 12, 26, 9, MovingAverageType.Exponential, Resolution.Daily) self.underlyingsymbol = equity.Symbol # use the underlying equity as the benchmark self.SetBenchmark(equity.Symbol) self.hist = RollingWindow[float](390*22) self.contract = None def OnData(self,slice): if not self.MarketOpen() or not slice.ContainsKey(self.syl): return self.hist.Add(float(slice[self.syl].Close)) if self.macd.IsReady: if not self.Portfolio[self.syl].Invested and self.macd.Current.Value > self.macd.Signal.Current.Value: self.MarketOrder(self.syl,100) # # <1> if there is a MACD short signal, liquidate the stock # elif self.Portfolio[self.syl].Invested and self.macd.Current.Value < self.macd.Signal.Current.Value: # self.Liquidate() # <2> if today's close < lowest close of last 30 days, liquidate the stock # self.Plot('Stock Plot','stop loss frontier', min(self.hist)) # self.Plot('Stock Plot','undelying price', self.Securities[self.syl].Price) if self.Portfolio[self.syl].Invested: if self.Securities[self.syl].Price < min(self.hist): self.Liquidate() # # <3> if there is a MACD short signal, trade the options # elif self.Portfolio[self.syl].Invested and self.macd.Current.Value < self.macd.Signal.Current.Value: # if self.contract is None: # self.SellCall() # elif not self.Portfolio[self.contract].Invested: # self.SellCall() def MarketOpen(self): return self.Time.hour != 10 and self.Time.minute == 1 def SellCall(self): contracts = self.OptionChainProvider.GetOptionContractList(self.underlyingsymbol, self.Time.date()) if len(contracts) == 0: return min_expiry = 0 max_expiry = 40 filtered_contracts = [i for i in contracts if min_expiry <= (i.ID.Date.date() - self.Time.date()).days <= max_expiry] call = [x for x in filtered_contracts if x.ID.OptionRight == 0] if len(call) == 0: return # sorted the contracts according to their expiration dates and choose the ATM options self.contract = sorted(sorted(call, key = lambda x: abs(self.Securities[self.syl].Price - x.ID.StrikePrice)), key = lambda x: x.ID.Date, reverse=True)[0] self.AddOptionContract(self.contract, Resolution.Minute) self.MarketOrder(self.contract, -1) def BuyPut(self): contracts = self.OptionChainProvider.GetOptionContractList(self.underlyingsymbol, self.Time.date()) if len(contracts) == 0: return min_expiry = 0 max_expiry = 40 filtered_contracts = [i for i in contracts if min_expiry <= (i.ID.Date.date() - self.Time.date()).days <= max_expiry] put = [x for x in filtered_contracts if x.ID.OptionRight == 1] if len(put) == 0: return # sorted the contracts according to their expiration dates and choose the ATM options self.contract = sorted(sorted(put, key = lambda x: abs(self.Securities[self.syl].Price - x.ID.StrikePrice)), key = lambda x: x.ID.Date, reverse=True)[0] self.AddOptionContract(self.contract, Resolution.Minute) self.MarketOrder(self.contract, 1)