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 -0.764 Tracking Error 0.147 Treynor Ratio 0 Total Fees $0.00 Estimated Strategy Capacity $0 Lowest Capacity Asset |
import datetime class CalmMagentaSnake(QCAlgorithm): openPeriod = 0 closePeriod = 0 def Initialize(self): #set timezone to ET self.SetTimeZone("America/New_York") #algo basics self.SetStartDate(2015, 1, 1) self.SetEndDate(2021, 12, 31) self.SetCash(100000) #add NASDAQ100 Emini future security object and filter to frontmonth only self.NQ = self.AddFuture(Futures.Indices.NASDAQ100EMini, Resolution.Minute) self.NQ.SetFilter(timedelta(0), timedelta(90)) #close out all open positions at market close self.Schedule.On(self.DateRules.EveryDay(), self.TimeRules.BeforeMarketClose(self.NQ.Symbol, 0), self.ClosePositions) def OnData(self, data): #filter for specific future contract data object for chain in data.FutureChains: if chain.Key.Value == Futures.Indices.NASDAQ100EMini: if self.front_NQ is None or ((self.front_NQ.Expiry-self.Time).days <= 1): contracts = list(filter(lambda x: x.Expiry >= self.Time + timedelta(days = 10), chain.Value)) self.front_NQ = sorted(contracts, key = lambda x: x.Expiry)[0] self.front_NQ = self.front_NQ.Symbol now = datetime.datetime.now() if now.hour == 9 and now.minute == 30: self.closePeriod = self.Securities[self.front_NQ].Close if now.hour == 16 and now.minute == 00: self.openPeriod = self.Securities[self.front_NQ].Open if self.closePeriod == 0 or self.openPeriod == 0: return change = (self.closePeriod - self.openPeriod) / self.openPeriod if now.hour == 9 and now.minute == 31 and self.change >= 0: self.SetHoldings(self.front_NQ, 1) elif now.hour == 9 and now.minute == 31 and self.change < 0: self.SetHoldings(self.front_NQ, -1) def ClosePositions(self): self.Liquidate()