| Overall Statistics |
|
Total Trades 689 Average Win 0.25% Average Loss -0.09% Compounding Annual Return 11.602% Drawdown 14.000% Expectancy 2.274 Net Profit 321.528% Sharpe Ratio 1.197 Probabilistic Sharpe Ratio 71.359% Loss Rate 12% Win Rate 88% Profit-Loss Ratio 2.72 Alpha 0.069 Beta 0.288 Annual Standard Deviation 0.082 Annual Variance 0.007 Information Ratio -0.01 Tracking Error 0.147 Treynor Ratio 0.341 Total Fees $691.36 |
# Dalio permanent portfolio with regular withdrawals
class AllWeatherStrategy(QCAlgorithm):
def Initialize(self):
self.SetStartDate(2008, 1, 1)
self.SetEndDate(2021, 2, 4)
self.InitCash = 100000
self.SetCash(self.InitCash)
self.MKT = self.AddEquity("SPY", Resolution.Minute).Symbol
self.mkt = []
self.etfs = [
(self.AddEquity('SPY', Resolution.Daily).Symbol,0.3),
(self.AddEquity('TLT', Resolution.Daily).Symbol,0.4),
(self.AddEquity('IEF', Resolution.Daily).Symbol,0.15),
(self.AddEquity('GLD', Resolution.Daily).Symbol,0.075),
(self.AddEquity('VPU', Resolution.Daily).Symbol,0.075)
]
self.Schedule.On(self.DateRules.MonthStart(self.etfs[0][0]), self.TimeRules.AfterMarketOpen(self.etfs[0][0]), self.Rebalance)
self.Schedule.On(self.DateRules.EveryDay(), self.TimeRules.At(0, 0), self.Withdraw)
self.leverage = 1
self.buffer = 0.05
def Withdraw(self):
borrow_amount = self.Portfolio.TotalPortfolioValue * 0.0001
current_cash = self.Portfolio.CashBook[self.AccountCurrency].Amount
self.Portfolio.CashBook.Add(self.AccountCurrency, current_cash + borrow_amount, 1)
def Rebalance(self):
self.SetHoldings([PortfolioTarget(etf, target*self.leverage*(1 - self.buffer)) for etf, target in self.etfs])
self.Plot("Custom", "Cash", self.Portfolio.Cash)
def OnEndOfDay(self):
mkt_price = self.Securities[self.MKT].Close
self.mkt.append(mkt_price)
mkt_perf = self.InitCash * self.mkt[-1] / self.mkt[0]
self.Plot('Strategy Equity', self.MKT, mkt_perf)
account_leverage = self.Portfolio.TotalHoldingsValue / self.Portfolio.TotalPortfolioValue
self.Plot('Holdings', 'leverage', round(account_leverage, 2))
self.Plot('Holdings', 'Target Leverage', self.leverage)