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 -2.877 Tracking Error 0.044 Treynor Ratio 0 Total Fees $0.00 Estimated Strategy Capacity $0 Lowest Capacity Asset |
import datetime class CalmMagentaSnake(QCAlgorithm): def Initialize(self): #set timezone to ET self.SetTimeZone("America/New_York") self.SetStartDate(2017, 12, 1) self.SetEndDate(2017, 12, 31) self.SetCash(100000) self.openPeriod = 0 self.closePeriod = 0 #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)) self.front_NQ = None #add equities to trade based on change in futures contract price self.TQQQ = self.AddEquity("TQQQ").Symbol self.SQQQ = self.AddEquity("SQQQ").Symbol #close out all open positions at market close self.Schedule.On(self.DateRules.EveryDay(), self.TimeRules.BeforeMarketClose(self.TQQQ, 0), self.ClosePositions) self.Schedule.On(self.DateRules.EveryDay(), self.TimeRules.BeforeMarketClose(self.SQQQ, 0), self.ClosePositions) def OnData(self, data): #filter for specific future contract data object for chain in data.FutureChains.Values: 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.Contracts.Values)) self.front_NQ = sorted(contracts, key = lambda x: x.Expiry)[0] #self.front_NQ = self.front_NQ.Symbol if self.front_NQ is None: return now = self.Time if now.hour == 9 and now.minute == 29: self.closePeriod = self.Securities[self.front_NQ.Symbol].Close if now.hour == 18 and now.minute == 00: #if now.hour == 16 and now.minute == 00: self.openPeriod = self.Securities[self.front_NQ.Symbol].Open if self.closePeriod == 0 or self.openPeriod == 0: return change = ((self.closePeriod - self.openPeriod) / self.openPeriod)*100 if change >= 0.50: self.SetHoldings("TQQQ", 1) self.Debug("NQ OPEN: "+str(self.openPeriod)+" NQ Close: "+str(self.closePeriod)+" NQ Change: "+str(change)) self.Debug(self.front_NQ) self.Debug("Sentiment is positive, buy TQQQ") elif change < 0.50: self.SetHoldings("SQQQ", 1) self.Debug("NQ OPEN: "+str(self.openPeriod)+" NQ Close: "+str(self.closePeriod)+" NQ Change: "+str(change)) self.Debug(self.front_NQ) self.Debug("Sentiment is negative, buy SQQQ") def ClosePositions(self): self.Liquidate()