| Overall Statistics |
|
Total Trades 3212 Average Win 4.54% Average Loss -0.02% Compounding Annual Return 13.522% Drawdown 18.500% Expectancy 1.500 Net Profit 36.129% Sharpe Ratio 0.691 Probabilistic Sharpe Ratio 26.403% Loss Rate 99% Win Rate 1% Profit-Loss Ratio 266.68 Alpha 0 Beta 0 Annual Standard Deviation 0.151 Annual Variance 0.023 Information Ratio 0.691 Tracking Error 0.151 Treynor Ratio 0 Total Fees $6404.65 Estimated Strategy Capacity $6700000.00 Lowest Capacity Asset BIL TT1EBZ21QWKL |
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))
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()
invested = [x.Key for x in self.Portfolio if x.Value.Invested]
for symbol in invested:
self.security_holding = self.Portfolio[symbol]
self.quantity = self.security_holding.Quantity
self.price = round(self.security_holding.AveragePrice, 2)
# self.stop_price = float(self.price, 2)
# self.Log("something:" + str(self.security_holding) + str(self.quantity))
self.Log(round(self.price, 2))
# quantity = self.Portfolio[current_holding].Quantity
# quantityToString = str(quantity)
# averageprice = self.Portfolio[str(current_holding)].AveragePrice
# self.Log("Current Holding:" + str(current_holding))
# self.Log("Current Holding:" + str(quantityToString))
# self.Log("Current Holding:" + str(averageprice))
# stop_loss = self.StopMarketOrder(self.security_holding, -1 * self.quantity, )
def OnOrderEvent(self, orderEvent):
order = self.Transactions.GetOrderById(orderEvent.OrderId)
# current_holding = [ x.Value for x in self.Portfolio.Values if x.Invested ]
invested = [x.Key for x in self.Portfolio if x.Value.Invested]
for symbol in invested:
self.security_holding = self.Portfolio[symbol]
self.quantity = self.security_holding.Quantity
self.price = self.security_holding.AveragePrice
# self.Log("something:" + str(self.security_holding) + str(self.quantity))
for kvp in self.Portfolio:
security_holdings = kvp.Value
symbol = security_holdings.Symbol.Value
self.Log("symbol" + symbol)
# self.Log("quantity" + str(self.quantity))
# self.Log("price" + str(self.price))
# Log average holding price
if order.Status == OrderStatus.Filled:
filled = orderEvent.FillPrice
floatnum = float(filled)
self.Log("filled price: " + str(filled))
stop_loss = self.StopMarketOrder(symbol, -1 * self.quantity, self.price * .95)
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