Overall Statistics |
Total Trades 894 Average Win 2.68% Average Loss -2.16% Compounding Annual Return 1.777% Drawdown 79.000% Expectancy 0.069 Net Profit 19.157% Sharpe Ratio 0.166 Probabilistic Sharpe Ratio 0.075% Loss Rate 52% Win Rate 48% Profit-Loss Ratio 1.24 Alpha 0.038 Beta -0.028 Annual Standard Deviation 0.21 Annual Variance 0.044 Information Ratio -0.243 Tracking Error 0.257 Treynor Ratio -1.266 Total Fees $50007.88 Estimated Strategy Capacity $970000.00 Lowest Capacity Asset VIXY UT076X30D0MD |
from AlgorithmImports import * import numpy as np class RollContract(QCAlgorithm): def Initialize(self): self.SetBrokerageModel(BrokerageName.InteractiveBrokersBrokerage, AccountType.Margin) self.SetStartDate(2013, 1, 2) self.SetEndDate(2022,12,12) self.SetCash(1000000) res = Resolution.Minute #CBOE only lists VIX Index at Daily level but can get vix options at minute level so get the options underlying price to get the minute VIX spot ticker = 'VIX' self.index_symbol = self.AddIndex(ticker, res).Symbol option = self.AddIndexOption(self.index_symbol, res) option.SetFilter(-1, 1, timedelta(0), timedelta(45)) self.option_symbol = option.Symbol #add the front month UX futures, set to Raw # if we dont the beginning of the futures curve in history is going to be backwards stiched at astronoimical levels and will hide the true # shape of the vol curve at that moment in time self.ux_1 = self.AddFuture(Futures.Indices.VIX, dataNormalizationMode=DataNormalizationMode.Raw,dataMappingMode = DataMappingMode.OpenInterest,contractDepthOffset = 0) #get etfs self.spy = self.AddEquity("SPY",res).Symbol self.vixy = self.AddEquity("VIXY",res).Symbol self.svxy = self.AddEquity("SVXY",res).Symbol self.SetBenchmark("SPY") self.EnableAutomaticIndicatorWarmUp = True def OnData(self, slice): #create empty list for portfolio current_port_symbols = [] # In case warming is required (for later use) if self.IsWarmingUp: return if slice.OptionChains.ContainsKey(self.option_symbol) and self.spy in slice.Bars and self.vixy in slice.Bars and self.svxy in slice.Bars: if self.Time.hour == 10 and self.Time.minute == 0: #get basis (vix fut/vix spot -1) vix_basis = (self.ux_1.Price/slice.OptionChains[self.option_symbol].Underlying.Price)-1 #plot basis self.Plot("VIX Basis", "Basis",vix_basis) #check current weight spy current_port_symbols = [ x.Symbol.Value for x in self.Portfolio.Values if x.Invested ] #current weight spy to later check to liquidate or not currentweight_spy = (self.Portfolio["SPY"].Quantity * slice['SPY'].Close) /self.Portfolio.TotalPortfolioValue self.Debug(f"current port symbols: {str(current_port_symbols)} DateTime: {self.Time}") if vix_basis > 0: #if not long svxy and short spy if not ("SVXY" in current_port_symbols and currentweight_spy <0): #if invested long vixy and long spy then if "VIXY" in current_port_symbols and currentweight_spy > 0: #if 100% long in spy do nothing if not set spy holdings to 100% self.Liquidate("VIXY") self.Liquidate("SPY") self.SetHoldings("SPY",-.5) self.SetHoldings("SVXY",.5) else: self.SetHoldings("SPY",-.5) self.SetHoldings("SVXY",.5) #if backwardated vol curve, elif vix_basis < 0: #if long SPY and vixy if not ("VIXY" in current_port_symbols and currentweight_spy > 0): if "SVXY" in current_port_symbols and currentweight_spy <0: self.Liquidate("SVXY") self.Liquidate("SPY") self.SetHoldings("VIXY",.5) self.SetHoldings("SPY",.5) else: self.SetHoldings("VIXY",.5) self.SetHoldings("SPY",.5) # self.Plot("option_symbol", "Price", slice.OptionChains[self.option_symbol].Underlying.Price) # self.Plot(self.ux_1.Symbol.ID.Symbol, self.ux_1.Symbol.ID.Symbol, self.ux_1.Price) # self.Plot("VIX Basis", "Basis",vix_basis)