| 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 Tracking Error 0 Treynor Ratio 0 Total Fees $0.00 Estimated Strategy Capacity $0 Lowest Capacity Asset |
class UncoupledVentralPrism(QCAlgorithm):
def Initialize(self):
self.SetStartDate(2021, 8, 31)
self.SetEndDate(2021, 8, 31)
self.SetCash(100000)
future = self.AddFuture(Futures.Indices.SP500EMini, Resolution.Minute)
future.SetFilter(timedelta(0), timedelta(180))
self.Consolidate(future.Symbol, timedelta(minutes=5), self.customBarHandler)
self.macd = self.MACD(future.Symbol, 12, 26, 9, MovingAverageType.Exponential, Resolution.Minute)
self.macd.Updated += self.macdUpdated
self.macdWindow = RollingWindow[IndicatorDataPoint](10)
self.RegisterIndicator(future.Symbol, self.macd, timedelta(minutes=5))
self.tradeBarWindow = RollingWindow[QuoteBar](10)
self.currentDate = 0
self.currentMinute = 0
def OnData(self, data):
if self.currentMinute == self.Time.minute:
return
for chain in data.FutureChains:
contracts = [contract for contract in chain.Value]
self.Debug("------------")
sorted_contracts = sorted(contracts, key=lambda x: x.Expiry)
for c in sorted_contracts:
self.Debug("symbol : {} and expiry : {}".format(c.Symbol.Value, c.Expiry))
self.Debug("close price : {} and open price : {}".format(data[c.Symbol].Close, data[c.Symbol].Open))
self.Debug("rolling window : ")
if len(sorted_contracts) == 0:
self.Debug("nothing")
self.currentMinute = self.Time.minute
def customBarHandler(self, bar):
self.tradeBarWindow.Add(bar)
def macdUpdated(self, sender, updated):
self.macdWindow.Add(updated)