Overall Statistics
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)