| Overall Statistics |
|
Total Trades 1 Average Win 0% Average Loss 0% Compounding Annual Return 22548.586% Drawdown 8.400% Expectancy 0 Net Profit 62.872% Sharpe Ratio 7.054 Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha 0 Beta 281.978 Annual Standard Deviation 0.535 Annual Variance 0.287 Information Ratio 7.029 Tracking Error 0.535 Treynor Ratio 0.013 Total Fees $0.00 |
class RollingWindowAlgorithm(QCAlgorithm):
def Initialize(self):
'''Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized.'''
self.SetStartDate(2017,10,1) #Set Start Date
self.SetEndDate(2017,11,1) #Set End Date
self.SetCash(100000) #Set Strategy Cash
# Find more symbols here: http://quantconnect.com/data
self.symbol = self.AddCrypto("BTCUSD", Resolution.Daily).Symbol
# Creates a Rolling Window indicator to keep the 2 TradeBar
self.window = RollingWindow[QuoteBar](2) # For other security types, use QuoteBar
# Creates an indicator and adds to a rolling window when it is updated
logr = self.LOGR(self.symbol, 1)
logr.Updated += self.SmaUpdated
self.smaWin = RollingWindow[IndicatorDataPoint](5)
self.PlotIndicator('LogR', logr)
def SmaUpdated(self, sender, updated):
'''Adds updated values to rolling window'''
self.smaWin.Add(updated)
def OnData(self, data):
'''OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.'''
# Add SPY TradeBar in rollling window
self.window.Add(data[self.symbol])
# Wait for windows to be ready.
if not (self.window.IsReady and self.smaWin.IsReady): return
currBar = self.window[0] # Current bar had index zero.
pastBar = self.window[1] # Past bar has index one.
self.Log("Price: {0} -> {1} ... {2} -> {3}".format(pastBar.Time, pastBar.Close, currBar.Time, currBar.Close))
currSma = self.smaWin[0] # Current SMA had index zero.
pastSma = self.smaWin[self.smaWin.Count-1] # Oldest SMA has index of window count minus 1.
self.Log("LOGr: {0} -> {1} ... {2} -> {3}".format(pastSma.Time, pastSma.Value, currSma.Time, currSma.Value))
if not self.Portfolio.Invested and currSma.Value > pastSma.Value:
self.SetHoldings(self.symbol, 1)