| Overall Statistics |
|
Total Trades 49 Average Win 7.36% Average Loss -3.98% Compounding Annual Return 9.898% Drawdown 20.200% Expectancy 0.782 Net Profit 93.647% Sharpe Ratio 0.645 Probabilistic Sharpe Ratio 11.966% Loss Rate 38% Win Rate 62% Profit-Loss Ratio 1.85 Alpha 0 Beta 0 Annual Standard Deviation 0.116 Annual Variance 0.013 Information Ratio 0.645 Tracking Error 0.116 Treynor Ratio 0 Total Fees $284.95 Estimated Strategy Capacity $12000000.00 Lowest Capacity Asset SCZ TYEDYAR4QS11 |
#region imports
from AlgorithmImports import *
#endregion
class VerticalNadionShield(QCAlgorithm):
def Initialize(self):
self.SetStartDate(2016, 1, 1) # Set Start Date
self.SetEndDate(2022, 12, 31) # set end date
self.SetCash(100000) # Set Strategy Cash
self.SetBrokerageModel(BrokerageName.InteractiveBrokersBrokerage, AccountType.Margin)
self.leverage = 1
self.equities = ["SPY", "SCZ"]
self.equityCombinedMomentum = {}
self.bonds = ["TLT", "TIP"]
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))
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.shiftAssets(topBonds[0][0])
class CombinedMomentum():
def __init__(self, algo, symbol):
self.fst = algo.MOMP(symbol, 21, Resolution.Daily)
self.med = algo.MOMP(symbol, 63, Resolution.Daily)
self.slw = algo.MOMP(symbol, 126, Resolution.Daily)
def getValue(self):
value = (self.fst.Current.Value + self.med.Current.Value + self.slw.Current.Value) / 3
return value