| 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 Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha 0 Beta 0 Annual Standard Deviation 0 Annual Variance 0 Information Ratio 0 Tracking Error 0 Treynor Ratio 0 Total Fees $0.00 |
class DynamicCalibratedContainmentField(QCAlgorithm):
frontContract = None
futureSma = None
def Initialize(self):
self.SetStartDate(2019, 9, 3) # Set Start Date
self.SetEndDate(2019, 9, 4) #Set End Date
self.SetCash(50000)
futureES = self.AddFuture("ES", Resolution.Minute)
futureES.SetFilter(timedelta(0), timedelta(182))
def OnData(self, data):
# If we haven't already stored the front contract, we need to find it
if self.frontContract is None:
# Get front month symbol
for chain in data.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, store the front month contract
if len(contracts) == 0: continue
self.frontContract = sorted(contracts, key = lambda x: x.Expiry, reverse=True)[0]
self.Log(f"Front month contract found: {self.frontContract.Symbol}")
# If we haven't already created the SMA, we need to create it
if self.futureSma is None and self.frontContract is not None:
self.futureSma = self.SMA(self.frontContract.Symbol, 2, Resolution.Minute)
self.Log("SMA created")
# If our SMA is defined but isn't ready yet, we can't continue
if self.futureSma is not None and self.futureSma.IsReady:
self.Log(f"Value: {self.futureSma.Current}")