Overall Statistics |
Total Trades 1 Average Win 0% Average Loss 0% Compounding Annual Return -98.830% Drawdown 5.300% Expectancy 0 Net Profit -4.757% Sharpe Ratio -15.896 Probabilistic Sharpe Ratio 0% Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha -0.916 Beta -0.609 Annual Standard Deviation 0.034 Annual Variance 0.001 Information Ratio 0.815 Tracking Error 0.09 Treynor Ratio 0.889 Total Fees $1.85 |
class DynamicCalibratedContainmentField(QCAlgorithm): def Initialize(self): self.SetStartDate(2019, 3, 3) # Set Start Date self.SetEndDate(2019, 3, 6) # Set End Date self.SetCash(50000) futureES = self.AddFuture("ES", Resolution.Tick) futureES.SetFilter(lambda x : x.FrontMonth()) self.frontContract = None self.sma = SimpleMovingAverage(2) self.consolidator = TickQuoteBarConsolidator(timedelta(minutes=1)) self.consolidator.DataConsolidated += self.OnMinuteData def OnData(self, data): # Get front month symbol for chain in data.FutureChains: contracts = [contract for contract in chain.Value] current_contract = contracts[0] # Handle new contracts if self.frontContract is None or self.frontContract.Symbol != current_contract.Symbol: self.frontContract = current_contract self.Debug(f"New Front Month Contract {self.frontContract.Symbol} {self.Time}") # Update consolidator self.consolidator.DataConsolidated -= self.OnMinuteData self.consolidated = TickQuoteBarConsolidator(timedelta(minutes=1)) self.consolidator.DataConsolidated += self.OnMinuteData ticks = chain.Value.Ticks symbol = self.frontContract.Symbol if symbol in ticks.Keys: for tick in ticks[symbol]: self.consolidator.Update(tick) # If I am not currently invested then go long if not self.Portfolio.Invested: self.MarketOrder(self.frontContract.Symbol, 1) def OnMinuteData(self, sender, bar): self.sma.Update(self.Time, bar.Close) if self.sma.IsReady: self.Debug(f"{self.Time} - {self.frontContract.Symbol}, SMA: {self.sma.Current.Value}")