| 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}")