Overall Statistics
class EmaSimple(QCAlgorithm):

    def Initialize(self):
        self.SetStartDate(2019, 6, 1)  # Set Start Date
        self.SetEndDate(2020, 4, 1)      #Set End Date
        self.SetCash(100000)             #Set Strategy Cash
        # Find more symbols here: http://quantconnect.com/data
        self.AddEquity("WORK", Resolution.Hour)
        self.stock = self.Identity("WORK")
        # self.spyStock = Identity("SPY")
        self.__slow = self.EMA("WORK", 200, Resolution.Hour)
        self.PlotIndicator("WORK", self.__slow, self.stock)

        stockPlot = Chart("Trade Plot")
        stockPlot.AddSeries(Series('Buy', SeriesType.Scatter, 0))
        stockPlot.AddSeries(Series('Sell', SeriesType.Scatter, 0))
        self.AddChart(stockPlot)

        
    def OnData(self, data):
        
        if not self.__slow.IsReady: return
        
        self.slowEMA = self.__slow.Current.Value 
        self.closePrice = data["WORK"].Price
     
        tolerance = 0.0025
        holdings = self.Portfolio["WORK"].Quantity
        
        signalDelta = self.closePrice - self.slowEMA
       
        if holdings == 0 and self.closePrice > self.slowEMA:
            self.SetHoldings("WORK", 1.0)
            self.Plot("Trade Plot", 'Buy', self.closePrice)
    
        elif holdings > 0 and self.closePrice < self.slowEMA:
            self.Liquidate("WORK")
            self.Debug("SEll")
            self.Plot("Trade Plot", 'Sell', self.closePrice)