Overall Statistics |
Total Trades 14 Average Win 16.60% Average Loss -7.08% Compounding Annual Return 15.695% Drawdown 18.000% Expectancy 0.911 Net Profit 42.550% Sharpe Ratio 0.792 Probabilistic Sharpe Ratio 32.214% Loss Rate 43% Win Rate 57% Profit-Loss Ratio 2.34 Alpha 0 Beta 0 Annual Standard Deviation 0.15 Annual Variance 0.022 Information Ratio 0.792 Tracking Error 0.15 Treynor Ratio 0 Total Fees $27.48 Estimated Strategy Capacity $770000000.00 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)) 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) + str(self.price)) # current_holding = [ x.Value for x in self.Portfolio.Values if x.Invested ] # 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) 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)) # # Log average holding price if order.Status == OrderStatus.Filled: filled = float(orderEvent.FillPrice) self.Log("filled price: " + str(filled)) # stop_loss = self.StopMarketOrder(self.security_holding, -1 * self.quantity, filled) 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