from AlgorithmImports import *


class MovingAverageCrossAlgorithm(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(2018, 1, 1)  
        self.SetEndDate(datetime.now())  
        self.SetCash(100000) 

        self.symbols = ["TSLA", 
                        "AAPL",
                        "TLT",
                        "SPY"]
                        
        for symbol in self.symbols:
            self.AddEquity(symbol, Resolution.Hour)
            self.fast = self.SMA(symbol, 8, Resolution.Hour)
            self.slow = self.SMA(symbol, 200, Resolution.Hour)

        self.previous = None
        
    def OnData(self, data):
        '''OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.'''

        # wait for our slow ema to fully initialize 
        if not self.slow.IsReady:
            return

        holdings = self.Portfolio[self.symbols].Quantity
        weight = len(self.symbols)

        # we only want to go long if we're currently short or flat
        if holdings <= 0:
            # if the fast is greater than the slow, we'll go long
            if self.fast.Current.Value > self.slow.Current.Value: #*(1 + tolerance):
                #self.Log("BUY  >> {0}".format(self.Securities[self.ticker].Price))
                for symbol in self.symbols:
                    self.SetHoldings(symbol, 1.0)

        # we only want to liquidate if we're currently long
        # if the fast is less than the slow we'll liquidate our long
        if holdings > 0 and self.fast.Current.Value < self.slow.Current.Value:
            #self.Log("SELL >> {0}".format(self.Securities[self.ticker].Price))
                for symbol in self.symbols:
                    self.Liquidate(symbol)

        self.previous = self.Time