# https://quantpedia.com/strategies/asset-class-momentum-rotational-system/
#
# Use 5 ETFs (SPY - US stocks, EFA - foreign stocks, IEF - bonds, VNQ - REITs, GSG - commodities).
# Pick 3 ETFs with strongest 12 month momentum into your portfolio and weight them equally. 
# Hold for 1 month and then rebalance.

#region imports
from AlgorithmImports import *
#endregion

class MomentumAssetAllocationStrategy(QCAlgorithm):

    def Initialize(self):
        self.SetStartDate(2000, 1, 1)  
        self.SetCash(100000)
        
        self.data = {}
        period = 12 * 21
        self.SetWarmUp(period, Resolution.Daily)
        
        self.traded_count = 3

        self.symbols = ["SPY", "EFA", "IEF", "VNQ", "GSG"]

        for symbol in self.symbols:
            self.AddEquity(symbol, Resolution.Minute)
            self.data[symbol] = self.ROC(symbol, period, Resolution.Daily)
        
        self.recent_month = -1

    def OnData(self, data):
        if self.IsWarmingUp: return
        
        if not (self.Time.hour == 9 and self.Time.minute == 31):
            return

        # rebalance once a month
        if self.Time.month == self.recent_month:
            return
        self.recent_month = self.Time.month
        
        sorted_by_momentum = sorted([x for x in self.data.items() if x[1].IsReady and x[0] in data and data[x[0]]], key = lambda x: x[1].Current.Value, reverse = True)

        long = []
        
        if len(sorted_by_momentum) >= self.traded_count:
            long = [x[0] for x in sorted_by_momentum][:self.traded_count]

        invested = [x.Key.Value for x in self.Portfolio if x.Value.Invested]
        for symbol in invested:
            if symbol not in long:
                self.Liquidate(symbol)

        for symbol in long:
            self.SetHoldings(symbol, 1 / len(long))