Overall Statistics
Total Trades
20
Average Win
21.91%
Average Loss
-9.17%
Compounding Annual Return
16.334%
Drawdown
29.200%
Expectancy
0.694
Net Profit
44.474%
Sharpe Ratio
0.668
Probabilistic Sharpe Ratio
24.830%
Loss Rate
50%
Win Rate
50%
Profit-Loss Ratio
2.39
Alpha
0
Beta
0
Annual Standard Deviation
0.198
Annual Variance
0.039
Information Ratio
0.668
Tracking Error
0.198
Treynor Ratio
0
Total Fees
$38.10
Estimated Strategy Capacity
$130000000.00
Lowest Capacity Asset
SPY R735QTJ8XC9X
class VerticalNadionShield(QCAlgorithm):

    def Initialize(self):
        self.SetStartDate(2020, 1, 1)  # Set Start Date
        self.SetCash(100000)  # Set Strategy Cash
        self.SetBrokerageModel(BrokerageName.InteractiveBrokersBrokerage, AccountType.Margin)
        self.leverage = 1
        
  
        self.equities = ["QQQ", "SPY"]
        self.equityCombinedMomentum = {}
        
        self.bonds = ["GLD", "SLV", "TLT", "BIL"]
        self.bondCombinedMomentum = {}

            
        for equity in self.equities:
            self.AddEquity(equity, Resolution.Hour)
            self.Securities[equity].SetDataNormalizationMode(DataNormalizationMode.TotalReturn)
            self.equityCombinedMomentum[equity] = CombinedMomentum(self, equity)

        for bond in self.bonds:
            self.AddEquity(bond, Resolution.Hour)
            self.Securities[bond].SetDataNormalizationMode(DataNormalizationMode.TotalReturn)
            self.bondCombinedMomentum[bond] = CombinedMomentum(self, bond)
            
        self.SetWarmUp(125)

    def shiftAssets(self, target):
        if not (self.Portfolio[target].Invested):
            for symbol in self.Portfolio.Keys:
                self.Liquidate(symbol)
            if not self.Portfolio.Invested:
                self.MarketOnCloseOrder(target, self.CalculateOrderQuantity(target, 1 * self.leverage))
        self.StopMarketOrder(target, self.CalculateOrderQuantity(target, 1 * self.leverage), self.Portfolio[target].AveragePrice * .05)
                

    def getMonthLastTradingDay(self):
        month_last_day = DateTime(self.Time.year, self.Time.month, DateTime.DaysInMonth(self.Time.year, self.Time.month))
        tradingDays = self.TradingCalendar.GetDaysByType(TradingDayType.BusinessDay, DateTime(self.Time.year, self.Time.month, 1), month_last_day)
        tradingDays = [day.Date.date() for day in tradingDays]
        return tradingDays[-1]
        

    def OnData(self, data):
        if self.IsWarmingUp:
            return

        if (self.Time.date() == self.getMonthLastTradingDay()) and (self.Time.hour == 15):
            topEquities = sorted(self.equityCombinedMomentum.items(), key=lambda x: x[1].getValue(), reverse=True)
            topBonds = sorted(self.bondCombinedMomentum.items(), key=lambda x: x[1].getValue(), reverse=True)
            if (topEquities[0][1].getValue() > 0):
                self.shiftAssets(topEquities[0][0])
            else:
                self.Liquidate()
        

class CombinedMomentum():
    def __init__(self, algo, symbol):
        self.sprfst = algo.MOMP(symbol,  10, Resolution.Daily)
        self.fst = algo.MOMP(symbol,  30, Resolution.Daily)
        self.med = algo.MOMP(symbol,  60, Resolution.Daily)
        self.slw = algo.MOMP(symbol,  120, Resolution.Daily)
        
    def getValue(self):
        value = (self.sprfst.Current.Value + self.fst.Current.Value + self.med.Current.Value + self.slw.Current.Value) / 3
        return value