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 -3.17 Tracking Error 0.457 Treynor Ratio 0 Total Fees $0.00 Estimated Strategy Capacity $0 |
### 2020_12_17 Buffer v2 ### ---------------------------------------------------------------------------- ### Restructured code and now we do not subscribe to options data in Initialize ### but we search through the chain every time we roll to make the algo much faster ### ---------------------------------------------------------------------------- from clr import AddReference AddReference("System") AddReference("QuantConnect.Algorithm") AddReference("QuantConnect.Common") from System import * from QuantConnect import * from QuantConnect.Algorithm import * from QuantConnect.Securities.Option import * class TestingIndexOptionsAlgorithm(QCAlgorithm): def Initialize(self): self.SetStartDate(2019, 1, 1) self.SetEndDate(2019, 1, 5) self.SetCash(1000000) # add data for underlying underlying = self.AddIndex('VIX', Resolution.Minute) underlying.SetDataNormalizationMode(DataNormalizationMode.Raw) self.underlyingSymbol = underlying.Symbol def OnData(self, data): if self.Time.hour == 9 and self.Time.minute < 35: # get all contracts available now contracts = self.OptionChainProvider.GetOptionContractList(self.underlyingSymbol, self.Time.date()) if len(contracts) == 0: self.Log('no contracts found in OptionChainProvider') return # get the relevant contracts using a range of expiry dates #relevantContracts = [x for x in contracts if OptionSymbol.IsStandardContract(x)] #self.Log(relevantContracts)