| Overall Statistics |
|
Total Trades 66 Average Win 2.44% Average Loss -4.32% Compounding Annual Return -97.845% Drawdown 63.600% Expectancy -0.427 Net Profit -49.971% Sharpe Ratio -0.855 Probabilistic Sharpe Ratio 4.028% Loss Rate 63% Win Rate 37% Profit-Loss Ratio 0.56 Alpha -1.062 Beta 1.249 Annual Standard Deviation 1.068 Annual Variance 1.14 Information Ratio -0.986 Tracking Error 1.047 Treynor Ratio -0.731 Total Fees $122.10 |
class FuturesMovingAverageCrossOverExample2(QCAlgorithm):
def Initialize(self):
self.SetStartDate(2018, 1, 1) #Set Start Date
self.SetEndDate(2018, 3,6) #Set End Date
self.SetCash(100000) #Set Strategy Cash
self.SetTimeZone('America/Los_Angeles') # Set timezone
self.reset = True
self.SymbolData = { }
self.limitOrderL = None
self.stopMarketOrderL = None
self.limitOrderS = None
self.stopMarketOrderS = None
futureES = self.AddFuture(Futures.Indices.SP500EMini)
futureES.SetFilter(TimeSpan.Zero, TimeSpan.FromDays(360))
self.Schedule.On(self.DateRules.Every(DayOfWeek.Tuesday), self.TimeRules.At(9, 30), self.ScheduleDemo)
def OnData(self, slice):
# Reset any open positions based on a contract rollover.
if self.reset:
self.reset = False
self.Log('RESET: closing all positions')
self.Liquidate()
def OnOrderEvent(self, orderEvent):
if orderEvent == self.limitOrderL and self.stopMarketOrderL!= None:
self.stopMarketOrderL.Cancel
elif orderEvent == self.stopMarketOrderL and self.limitOrderL!= None:
self.limitOrderL.Cancel
elif orderEvent == self.limitOrderS and self.stopMarketOrderS!= None:
self.stopMarketOrderS.Cancel
elif orderEvent == self.stopMarketOrderS and self.limitOrderS!= None:
self.limitOrderS.Cancel
def OnSecuritiesChanged(self, changes):
for s in changes.AddedSecurities:
if s.Symbol not in self.SymbolData:
macd = self.MACD(s.Symbol, 12, 26, 9, MovingAverageType.Exponential, Resolution.Minute)
self.SymbolData[s.Symbol] = macd
def ScheduleDemo(self):
for symbol, assetData in self.SymbolData.items():
price = self.ActiveSecurities[symbol].Price
if assetData:
signalDeltaPercent = (assetData.Current.Value - assetData.Signal.Current.Value)
currentPrice = price
tolerance = 0.003
stopLossPrice = currentPrice - 100
profitTargetPrice = currentPrice + 50
holdings = self.Portfolio[symbol].Quantity
if holdings <= 0 and signalDeltaPercent < 0 and signalDeltaPercent < -tolerance :
# Go long
self.MarketOrder(symbol, 1)
self.limitOrderL = self.LimitOrder(symbol, -1, profitTargetPrice)
self.stopMarketOrderL = self.StopMarketOrder(symbol, -1, stopLossPrice)
if holdings >= 0 and signalDeltaPercent > 0 and signalDeltaPercent > tolerance :
#Go short
self.MarketOrder(symbol, -1)
self.limitOrderS = self.LimitOrder(symbol, 1, profitTargetPrice)
self.stopMarketOrderS = self.StopMarketOrder(symbol, 1, stopLossPrice)