| 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 6.757 Tracking Error 0.07 Treynor Ratio 0 Total Fees $0.00 |
class ResistanceMultidimensionalGearbox(QCAlgorithm):
def Initialize(self):
self.SetStartDate(2021, 2, 20) # Set Start Date
self.SetCash(100000) # Set Strategy Cash
tickers = ["AAPL", "AIG", "IBM"]
symbols = [Symbol.Create(x, SecurityType.Equity, Market.USA) for x in tickers]
self.AddUniverseSelection(QC500UniverseSelectionModel())
self.AddUniverseSelection(ManualUniverseSelectionModel(symbols))
self.AddAlpha(MyAlphaModel())
self.AddAlpha(MyAlphaModel2())
class MyAlphaModel:
def Update(self, algorithm, data):
for kvp in algorithm.UniverseManager:
universe = kvp.Value
if 'MANUAL' in kvp.Key.Value:
for kvp2 in universe.Members:
symbol = kvp2.Key
security = kvp2.Value
algorithm.Debug(f'Manual: {symbol}')
break
else:
for kvp2 in universe.Members:
symbol = kvp2.Key
security = kvp2.Value
algorithm.Debug(f'QC500: {symbol}')
break
return []
def OnSecuritiesChanged(self, algorithm, changes):
pass
class MyAlphaModel2:
def Update(self, algorithm, data):
for kvp in algorithm.UniverseManager:
universe = kvp.Value
if 'MANUAL' in kvp.Key.Value:
for kvp2 in universe.Members:
symbol = kvp2.Key
security = kvp2.Value
break
else:
for kvp2 in universe.Members:
symbol = kvp2.Key
security = kvp2.Value
break
return []
def OnSecuritiesChanged(self, algorithm, changes):
pass