| 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