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 |
from datetime import timedelta class SmoothBlueLion(QCAlgorithm): def Initialize(self): self.SetStartDate(2021, 9, 1) # Set Start Date self.SetEndDate(2021, 9, 1) self.SetCash(100000) # Set Strategy Cash # self.AddEquity("SPY", Resolution.Minute) self.AddUniverse(self.MyCoarseFilterFunction) self.UniverseSettings.Resolution = Resolution.Minute self.DTE = 30 self.ExpDelta = 20 # num days to look before/after desired DTE (i.e if only monthly exp, might need to go 50 days out) self.contractsAdded = set() self.SetSecurityInitializer(lambda x: x.SetDataNormalizationMode(DataNormalizationMode.Raw)) self.contractsWithoutPrices = 0 self.contractsWithPrices = 0 def OnData(self, data): if not (data.Time.hour == 10 and data.Time.minute == 0): return for security in self.ActiveSecurities.Values: if security.Symbol.SecurityType == SecurityType.Equity: contracts = self.OptionsFilter(security.Symbol) if contracts == str(): continue for contract in contracts: if contract.ID.OptionRight == OptionRight.Put: bid = self.Securities[contract].BidPrice self.Debug("bid: " + str(bid)) else: ask = self.Securities[contract].AskPrice self.Debug("ask: " + str(ask)) if bid > 0 and ask > 0: self.contractsWithPrices += 1 else: self.contractsWithoutPrices += 1 #self.Debug(str(security.Symbol.Value)) #self.Debug("returned contracts: " + str([x.Value for x in contracts])) self.Debug("Number of Contracts with Prices: " + str(self.contractsWithPrices)) self.Debug("Number of Contracts without Prices: " + str(self.contractsWithoutPrices)) self.contractsWithPrices = 0 self.contractsWithoutPrices = 0 def MyCoarseFilterFunction(self, coarse): sortedByDollarVolume = sorted(coarse, key=lambda x: x.DollarVolume, reverse=True) filtered = [ x.Symbol for x in sortedByDollarVolume if x.Price > 5 and x.Price < 30 ][:5] return filtered def OnSecuritiesChanged(self, changes): for security in changes.AddedSecurities: if security.Symbol.SecurityType == SecurityType.Equity: self.OptionsFilter(security.Symbol) # call OptionsFilter to subscribe to the options contracts data self.Debug(str(security.Symbol) + " is an equity") def OptionsFilter(self, symbol): contracts = self.OptionChainProvider.GetOptionContractList(symbol, self.Time) underlyingPrice = self.Securities[symbol].Price puts = [i for i in contracts if i.ID.OptionRight == OptionRight.Put and underlyingPrice < i.ID.StrikePrice and self.DTE - self.ExpDelta < (i.ID.Date - self.Time).days < self.DTE + self.ExpDelta] calls = [i for i in contracts if i.ID.OptionRight == OptionRight.Call and underlyingPrice < i.ID.StrikePrice and self.DTE - self.ExpDelta < (i.ID.Date - self.Time).days < self.DTE + self.ExpDelta] if len(puts) > 0 and len(calls) > 0: sortedPuts = sorted(sorted(puts, key = lambda x: abs((x.ID.Date - self.Time).days - self.DTE)), key = lambda x: underlyingPrice - x.ID.StrikePrice, reverse=True)[0] sortedCalls = sorted(sorted(calls, key = lambda x: abs((x.ID.Date - self.Time).days - self.DTE)), key = lambda x: underlyingPrice - x.ID.StrikePrice, reverse=True)[0] atmContracts = [sortedPuts, sortedCalls] for contract in atmContracts: if contract not in self.contractsAdded: self.contractsAdded.add(contract) self.AddOptionContract(contract, Resolution.Minute) return atmContracts else: return str()