Overall Statistics |
Total Trades 1 Average Win 0% Average Loss 0% Compounding Annual Return -1.200% Drawdown 0.200% Expectancy 0 Net Profit -0.121% Sharpe Ratio -1.748 Probabilistic Sharpe Ratio 15.574% Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha -0.002 Beta 0.022 Annual Standard Deviation 0.004 Annual Variance 0 Information Ratio 1.312 Tracking Error 0.201 Treynor Ratio -0.363 Total Fees $0.57 Estimated Strategy Capacity $690000000.00 Lowest Capacity Asset MES XZDYPWUWC7I9 Portfolio Turnover 0.06% |
# QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals. # Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from AlgorithmImports import * ### <summary> ### This example demonstrates how to add futures for a given underlying asset. ### It also shows how you can prefilter contracts easily based on expirations, and how you ### can inspect the futures chain to pick a specific contract to trade. ### </summary> ### <meta name="tag" content="using data" /> ### <meta name="tag" content="benchmarks" /> ### <meta name="tag" content="futures" /> class BasicTemplateFuturesAlgorithm(QCAlgorithm): def Initialize(self): self.SetStartDate(2022, 2, 7) self.SetEndDate(2022, 3, 15) self.SetCash(1000000) self.contractSymbol = None # Subscribe and set our expiry filter for the futures chain #futureSP500 = self.AddFuture(Futures.Indices.SP500EMini) self.futureSP500 = self.AddFuture(Futures.Indices.MicroSP500EMini) #futureNQ = self.AddFuture(Futures.Indices.MicroNASDAQ100EMini) #futureYM = self.AddFuture(Futures.Indices.Dow30EMini) #futureCL = self.AddFuture(Futures.Energies.MicroCrudeOilWTI) #futureGold = self.AddFuture(Futures.Metals.Gold) # set our expiry filter for this futures chain # SetFilter method accepts timedelta objects or integer for days. # The following statements yield the same filtering criteria self.futureSP500.SetFilter(timedelta(0), timedelta(182)) #futureNQ.SetFilter(timedelta(0), timedelta(182)) #futureYM.SetFilter(timedelta(0), timedelta(182)) #futureCL.SetFilter(timedelta(0), timedelta(182)) #futureGold.SetFilter(0, 182) benchmark = self.AddEquity("SPY") self.SetBenchmark(benchmark.Symbol) seeder = FuncSecuritySeeder(self.GetLastKnownPrices) self.SetSecurityInitializer(lambda security: seeder.SeedSecurity(security)) history = self.History( tickers=[self.futureSP500.Symbol], start=self.Time - timedelta(days=15), end=self.Time, resolution=Resolution.Minute, fillForward=False, extendedMarketHours=False, dataMappingMode=DataMappingMode.OpenInterest, dataNormalizationMode=DataNormalizationMode.Raw, contractDepthOffset=0) checkHere=1 def OnData(self,slice): for chain in slice.FutureChains: # Get contracts expiring no earlier than in 90 days contracts = list(filter(lambda x: x.Expiry > self.Time + timedelta(90), chain.Value)) # if there is any contract, trade the front contract if len(contracts) == 0: continue front = sorted(contracts, key = lambda x: x.Expiry, reverse=True)[0] self.contractSymbol = front.Symbol price = slice[self.contractSymbol].Price #price RIGHT NOW price_Cont = slice[self.futureSP500.Symbol].Price #self.Debug(front.Symbol.Value + "=" + str(price)+" Continuous="+ str(price_Cont)) self.Plot("Futures", "Price - Continuous", price) self.Plot("Futures", "Price - Front Month", price_Cont) self.Plot("Diff", "Cont - FM", price_Cont - price) if not self.Portfolio.Invested: self.MarketOrder(front.Symbol , 1) else: BuyHold=1 #self.Liquidate() def OnEndOfAlgorithm(self): # Get the margin requirements buyingPowerModel = self.Securities[self.contractSymbol].BuyingPowerModel name = type(buyingPowerModel).__name__ if name != 'FutureMarginModel': raise Exception(f"Invalid buying power model. Found: {name}. Expected: FutureMarginModel") initialOvernight = buyingPowerModel.InitialOvernightMarginRequirement maintenanceOvernight = buyingPowerModel.MaintenanceOvernightMarginRequirement initialIntraday = buyingPowerModel.InitialIntradayMarginRequirement maintenanceIntraday = buyingPowerModel.MaintenanceIntradayMarginRequirement def OnSecuritiesChanged(self, changes): for addedSecurity in changes.AddedSecurities: if addedSecurity.Symbol.SecurityType == SecurityType.Future and not addedSecurity.Symbol.IsCanonical() and not addedSecurity.HasData: raise Exception(f"Future contracts did not work up as expected: {addedSecurity.Symbol}")