Overall Statistics |
Total Trades 7 Average Win 0% Average Loss -3.35% Compounding Annual Return 4.404% Drawdown 8.600% Expectancy -1 Net Profit 0.468% Sharpe Ratio 0.254 Probabilistic Sharpe Ratio 38.527% Loss Rate 100% Win Rate 0% Profit-Loss Ratio 0 Alpha -0.05 Beta 0.357 Annual Standard Deviation 0.281 Annual Variance 0.079 Information Ratio -0.926 Tracking Error 0.29 Treynor Ratio 0.2 Total Fees $7.00 Estimated Strategy Capacity $530000.00 Lowest Capacity Asset QQQ YEBKT0B306LI|QQQ RIWIV7K5Z9LX |
from AlgorithmImports import * class TransdimensionalPrism(QCAlgorithm): def Initialize(self): self.SetStartDate(2021, 1, 1) # Set Start Date #self.SetEndDate(2020,1,1) self.SetCash(12000) # Set Strategy Cash self.SetWarmUp(1000) #SPY DATA spy = self.AddEquity("SPY", Resolution.Minute) spy.SetDataNormalizationMode(DataNormalizationMode.Raw) self.spy = spy.Symbol self.spyCallcontract = None self.spyPutcontract = None self.spySmallPutcontract = None #SOXL DATA soxl = self.AddEquity("SOXL", Resolution.Minute) soxl.SetDataNormalizationMode(DataNormalizationMode.Raw) self.soxl = soxl.Symbol self.soxlCallcontract = None #QQQ qqq = self.AddEquity("QQQ", Resolution.Minute) qqq.SetDataNormalizationMode(DataNormalizationMode.Raw) self.qqq = qqq.Symbol self.qqqCallcontract = None self.qqqPutcontract = None self.qqqSmallPutcontract = None #TQQQ Data #LEVERAGED ETFS: [SPXL:Leveraged SPY, TQQQLeveraged TQQQ, SOXL] tqqq = self.AddEquity("TQQQ", Resolution.Minute) tqqq.SetDataNormalizationMode(DataNormalizationMode.Raw) self.tqqq = tqqq.Symbol self.tqqqCallcontract = None self.tqqqPutcontract = None self.tqqqSmallPutcontract = None #BND bnd = self.AddEquity("BND", Resolution.Minute) self.bnd = bnd.Symbol #QQQ qqq = self.AddEquity("QQQ", Resolution.Minute) self.qqq = qqq.Symbol #Scheduled Events============================================ self.Schedule.On(self.DateRules.MonthStart("SPY"), self.TimeRules.AfterMarketOpen("SPY", 1), self.monthlyRebalance) self.Schedule.On(self.DateRules.EveryDay("SPY"), self.TimeRules.AfterMarketOpen("SPY", 1), self.captureOpening) #Variables needed for stoploss self.stoplosshold = 0 self.dailyOpen: Dict[Symbol,float] = { self.spy: 0, } self.weights: Dict[Symbol,float] = { self.bnd:.8, } #Underlyings and Options dictionary #self.uNos = { self.spy : self.spycontract, #self.tqqq : self.tqqqcontract } self.uNos = { 'call' : {self.spy : self.spyCallcontract, self.qqq : self.qqqCallcontract }, 'put' : {self.spy : self.spyPutcontract}, 'smallPut' : {self.qqq : self.qqqSmallPutcontract} } def OnData(self, data): if not self.Portfolio[self.bnd].Invested: self.SetHoldings(self.bnd, 0.8) # DO HEDGE self.getContracts() self.timeDC() self.setContracts() self.exerciseContracts() def getContracts(self): ''' \nThis method is used to loop through the nested \n dictionary: self.uNos (underlyings and options) ''' if self.IsWarmingUp: return for right, cluster in self.uNos.items(): if right == 'call': for underlying, contract in self.uNos[right].items(): if contract is None: # ATM call option targetStrike = (self.Securities[underlying].Price *1.2) - (self.Securities[underlying].Price * 1.2)%5 xcontracts = self.OptionChainProvider.GetOptionContractList(underlying, self.Time) calls = [x for x in xcontracts if x.ID.OptionRight == OptionRight.Call] calls = sorted( sorted(calls, key = lambda x: x.ID.Date, reverse = True), key = lambda x: x.ID.StrikePrice) calls = [x for x in calls if x.ID.StrikePrice == targetStrike] calls = [x for x in calls if 250 < (x.ID.Date - self.Time).days] if len(calls) == 0: calls = sorted(calls, key = lambda x: x.ID.Date, reverse=True) if len(calls) == 0: return None self.AddOptionContract(calls[0], Resolution.Minute) self.uNos[right][underlying] = calls[0] if right == 'put': for underlying, contract in self.uNos[right].items(): if contract is None: #40% OTM call option targetStrike = (self.Securities[underlying].Price * .6) - (self.Securities[underlying].Price * .6)%5 xcontracts = self.OptionChainProvider.GetOptionContractList(underlying, self.Time) puts = [x for x in xcontracts if x.ID.OptionRight == OptionRight.Put] puts = sorted( sorted(puts, key = lambda x: x.ID.Date, reverse = True), key = lambda x: x.ID.StrikePrice) puts = [x for x in puts if x.ID.StrikePrice == targetStrike] puts = [x for x in puts if 300 < (x.ID.Date - self.Time).days <= 420] if len(puts) == 0: return None self.AddOptionContract(puts[0], Resolution.Minute) self.uNos[right][underlying] = puts[0] if right == 'smallPut': for underlying, contract in self.uNos[right].items(): if contract is None: #40% OTM call option targetStrike = (self.Securities[underlying].Price * .8) - (self.Securities[underlying].Price * .8)%5 xcontracts = self.OptionChainProvider.GetOptionContractList(underlying, self.Time) puts = [x for x in xcontracts if x.ID.OptionRight == OptionRight.Put] puts = sorted( sorted(puts, key = lambda x: x.ID.Date, reverse = True), key = lambda x: x.ID.StrikePrice) puts = [x for x in puts if x.ID.StrikePrice == targetStrike] puts = [x for x in puts if 300 < (x.ID.Date - self.Time).days] if len(puts) == 0: return None self.AddOptionContract(puts[0], Resolution.Minute) self.uNos[right][underlying] = puts[0] def timeDC(self): for right, cluster in self.uNos.items(): if right == 'call': for underlying, contract in self.uNos[right].items(): if contract is None: continue if (contract.ID.Date - self.Time).days < 20: #self.Log("Liquidated time 180") self.Liquidate(contract) self.RemoveSecurity(contract) self.uNos[right][underlying] = None if right == 'put': for underlying, contract in self.uNos[right].items(): if contract is None: continue if (contract.ID.Date - self.Time).days < 30: #self.Log("Liquidated time 180") self.Liquidate(contract) self.RemoveSecurity(contract) self.uNos[right][underlying] = None return def setContracts(self): for right, cluster in self.uNos.items(): if right == 'call': for underlying, contract in self.uNos[right].items(): if contract is None: continue if not self.Portfolio[contract].Invested: if self.CurrentSlice.Bars.ContainsKey(underlying): #self.SetHoldings(contract, 0.1) self.MarketOrder(contract, 1) if right == 'put': for underlying, contract in self.uNos[right].items(): if contract is None: continue if not self.Portfolio[contract].Invested: #self.SetHoldings(contract, 0.03) if self.Securities[contract].Price != 0: # SHILE: PUT ADDITIONAL CHECKS HERE self.Log(self.Securities[contract].Price) self.MarketOrder(contract, 1) if right == 'smallPut': for underlying, contract in self.uNos[right].items(): if contract is None: continue if not self.Portfolio[contract].Invested: #self.SetHoldings(contract, 0.07) if self.Securities[contract].Price != 0: # SHILE: PUT ADDITIONAL CHECKS HERE self.MarketOrder(contract, 1) def exerciseContracts(self): for right, cluster in self.uNos.items(): if right == 'call': for underlying, contract in self.uNos[right].items(): if contract is None: continue #Log the unrealized potential of the call option #If the unrealized profit of the option contract has increased by 100% if self.Portfolio[contract].UnrealizedProfitPercent > 1.5: #self.Log(self.Securities[underlying].Price) self.Liquidate(contract) #self.RemoveSecurity(contract) self.RemoveOptionContract(contract) self.uNos[right][underlying] = None if right == 'put': for underlying, contract in self.uNos[right].items(): if contract is None: continue # For the large scale puts, if the unrealized profit has increased by 310% # This can be considered the 'F#%#@ Me' moment if self.Portfolio[contract].UnrealizedProfitPercent > 2.5: self.Liquidate(contract) #self.RemoveSecurity(contract) self.RemoveOptionContract(contract) self.uNos[right][underlying] = None if right == 'smallPut': for underlying, contract in self.uNos[right].items(): if contract is None: continue # IF the unrealized profit of the smaller scale put has increased by 100% if self.Portfolio[contract].UnrealizedProfitPercent > 1: self.Liquidate(contract) #self.RemoveSecurity(contract) self.RemoveOptionContract(contract) self.uNos[right][underlying] = None def monthlyRebalance(self): # Rebalance portfolio monthly if self.IsWarmingUp: return for key,value in self.weights.items(): self.SetHoldings(key, value) def captureOpening(self): #Grabs the daily opening price of spy for our stoploss method if self.IsWarmingUp: return for key, value in self.dailyOpen.items(): if self.CurrentSlice.Bars.ContainsKey(key): self.dailyOpen[key] = self.CurrentSlice[key].Open self.stoplosshold = 0 def stoploss(self, data): ''' Stoploss logic: - If spy drops more than 5% liquidate entire equity portfolio - Change stoplosshold value to 1, this indicates that the portfolios SL has been hit and were going to hold until the next trading day ''' if self.IsWarmingUp: return for symbol, weight in self.weights.items(): if self.Securities[symbol].Price == 0: continue open = self.dailyOpen[symbol] #See if any symbol has decreased more than 5% in a given day, liquidate if true and check next one... if ((self.Securities[symbol].Price-open)/self.Securities[symbol].Price) < -.05: self.SetHoldings(symbol, 0) self.stoplosshold = 1 #self.Log('HIT')