Overall Statistics |
Total Trades 0 Average Win 0% Average Loss 0% Compounding Annual Return 0% Drawdown 0% Expectancy 0 Net Profit 0% Sharpe Ratio 0 Probabilistic Sharpe Ratio 0% Loss Rate 0% 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 $0.00 Estimated Strategy Capacity $0 Lowest Capacity Asset |
class BasicTemplateOptionsHistoryAlgorithm(QCAlgorithm): def Initialize(self): self.SetStartDate(2015, 12, 24) self.SetEndDate(2015, 12, 24) self.SetCash(1000000) equity = self.AddEquity("GOOG", Resolution.Daily) option = self.AddOption("GOOG", Resolution.Daily) equity.SetDataNormalizationMode(DataNormalizationMode.Raw) option.PriceModel = OptionPriceModels.CrankNicolsonFD() option.SetFilter(-2,2, timedelta(0), timedelta(180)) self.SetBenchmark(equity.Symbol) self.SetWarmUp(30, Resolution.Daily) def OnData(self,slice): if self.IsWarmingUp: return if not self.Portfolio.Invested: for chain in slice.OptionChains: underlying = self.Securities[chain.Key.Underlying] for contract in chain.Value: self.Log("{0},Bid={1} Ask={2} Last={3} OI={4} sigma={5:3f} NPV={6:3f} \ delta={7:3f} gamma={8:3f} vega={9:3f} beta={10:2f} theta={11:2f} IV={12:2f}".format( contract.Symbol.Value, contract.BidPrice, contract.AskPrice, contract.LastPrice, contract.OpenInterest, underlying.VolatilityModel.Volatility, contract.TheoreticalPrice, contract.Greeks.Delta, contract.Greeks.Gamma, contract.Greeks.Vega, contract.Greeks.Rho, contract.Greeks.Theta / 365, contract.ImpliedVolatility)) def OnOrderEvent(self, orderEvent): self.Log(str(orderEvent)) def OnSecuritiesChanged(self, changes): for change in changes.AddedSecurities: history = self.History(change.Symbol, 10, Resolution.Hour).sort_index(level='time', ascending=False)[:3] for i in range(len(history)): self.Log("History: " + str(history.iloc[i].name[0]) + ": " + str(history.iloc[i].name[1]) + " > " + str(history.iloc[i]['close']))