| Overall Statistics |
|
Total Trades 301 Average Win 1.11% Average Loss -0.31% Compounding Annual Return 27.277% Drawdown 17.900% Expectancy 2.359 Net Profit 128.112% Sharpe Ratio 1.675 Probabilistic Sharpe Ratio 82.605% Loss Rate 26% Win Rate 74% Profit-Loss Ratio 3.52 Alpha 0 Beta 0 Annual Standard Deviation 0.166 Annual Variance 0.028 Information Ratio 1.675 Tracking Error 0.166 Treynor Ratio 0 Total Fees $452.36 Estimated Strategy Capacity $44000.00 Lowest Capacity Asset XVZ UZ6Q81R5NIW5 |
from QuantConnect.Data.Custom.CBOE import *
class RetrospectiveFluorescentOrangeScorpion(QCAlgorithm):
def Initialize(self):
self.SetStartDate(2018,1, 1) # Set Start Date
self.SetEndDate(2021,6,1) # Set End Date
self.SetCash(100000) # Set Strategy Cash
self.regime = 0
self.regime_threshold = 22
vix = self.AddData(CBOE, "VIX").Symbol
self.history = self.History(CBOE, vix, 30, Resolution.Daily)
# Define the security universe
self.SetBrokerageModel(BrokerageName.InteractiveBrokersBrokerage)
self.tickers = ['PGJ','GLD','TLT','AIA','VWO','XLF','FXY','IYW','IYG','XVZ',"SPY"]
for symbol in self.tickers:
self.AddEquity(symbol, Resolution.Daily)
self.Schedule.On(self.DateRules.EveryDay(),self.TimeRules.AfterMarketOpen("SPY", 180), self.SignalRefresh)
self.Schedule.On(self.DateRules.MonthStart(),self.TimeRules.AfterMarketOpen("SPY", 180), self.Rebalance)
def Rebalance(self):
# Rebalance portfolio monthly
if self.regime == 0:
self.SetHoldings('PGJ',0.03)
self.SetHoldings('GLD',0.08)
self.SetHoldings('TLT',0.24)
self.SetHoldings('AIA',0.03)
self.SetHoldings('VWO',0.03)
self.SetHoldings('XLF',0.03)
self.SetHoldings('FXY',0.03)
self.SetHoldings('IYW',0.43)
self.SetHoldings('IYG',0.06)
self.SetHoldings('XVZ',0.03)
else:
self.SetHoldings('PGJ',0.40)
self.SetHoldings('GLD',0.03)
self.SetHoldings('TLT',0.03)
self.SetHoldings('AIA',0.03)
self.SetHoldings('VWO',0.03)
self.SetHoldings('XLF',0.03)
self.SetHoldings('FXY',0.06)
self.SetHoldings('IYW',0.03)
self.SetHoldings('IYG',0.03)
self.SetHoldings('XVZ',0.32)
def SignalRefresh(self):
vix = self.AddData(CBOE, "VIX").Symbol
self.history = self.History(CBOE, vix, 30, Resolution.Daily)
self.signal_series = [1 if x>self.regime_threshold else 0 for x in self.history.close.values]
if 1 in self.signal_series:
if self.regime != 1:
self.regime = 1
self.Rebalance()
else:
if self.regime != 0:
self.regime = 0
self.Rebalance()