| Overall Statistics |
|
Total Trades 0 Average Win 0% Average Loss 0% Compounding Annual Return 0% Drawdown 0% Expectancy 0 Net Profit 0% Sharpe Ratio 0 Probabilistic Sharpe Ratio 0% Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha 0 Beta 0 Annual Standard Deviation 0 Annual Variance 0 Information Ratio -1.781 Tracking Error 0.367 Treynor Ratio 0 Total Fees $0.00 |
class CalibratedVentralCircuit(QCAlgorithm):
def Initialize(self):
self.SetStartDate(2020, 3, 13) # Set Start Date
self.SetCash(100000) # Set Strategy Cash
tickers = ['SPY', 'BND']
symbols = [ Symbol.Create(ticker, SecurityType.Equity, Market.USA) for ticker in tickers ]
self.AddUniverseSelection( ManualUniverseSelectionModel(symbols) )
# Add Liquid Universe
self.SetAlpha(MyAlphaModel())
self.SetPortfolioConstruction(EqualWeightingPortfolioConstructionModel())
self.SetExecution(ImmediateExecutionModel())
class MyAlphaModel(AlphaModel):
spy = None
spy_sma = None
bnd = None
liquid_symbols = []
def Update(self, algorithm, data):
# if spy > spy_sma:
# emit insights for the liquid symbols
# else:
# emit insight for BND
return []
def OnSecuritiesChanged(self, algorithm, changes):
for security in changes.AddedSecurities:
ticker = str(security.Symbol).split()[0]
if ticker == 'SPY':
self.spy = security.Symbol
# Setup spy SMA
# Warm up spy SMA
elif ticker == 'BND':
self.bnd = security.Symbol
else:
pass # Add symbol to liquid symbols list
for security in changes.RemovedSecurities:
pass # remove symbol from liquid symbols list