| 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 Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha 0 Beta 0 Annual Standard Deviation 0 Annual Variance 0 Information Ratio 0 Tracking Error 0 Treynor Ratio 0 Total Fees $0.00 |
class UniverseSelectionMarketCap(QCAlgorithm):
def Initialize(self):
self.SetStartDate(2019, 6, 1) # Set Start Date
self.SetEndDate(2019, 6, 15) # Set End Date
self.UniverseSettings.Resolution = Resolution.Daily
# coarse and fine selection
self.AddUniverseSelection(
FineFundamentalUniverseSelectionModel(self.SelectCoarse, self.SelectFine)
)
# self.SetUniverseSelection(CoarseFundamentalUniverseSelectionModel(self.SelectCoarse)) # only coarse selection
self.numberOfSymbolsFine = 500
def OnData(self, data):
# log the selected stocks if you want
for key in data.Keys:
self.Log(key.Value)
def SelectCoarse(self, coarse):
# select stocks with fundamental data
coarseWithFundamental = [x for x in coarse if x.HasFundamentalData]
sortByVolume = sorted(coarseWithFundamental, key = lambda x: x.Volume, reverse = True)
return [ x.Symbol for x in sortByVolume]
def SelectFine(self, fine):
# select stocks with the highest market cap
sortByMarketCap = sorted(fine, key = lambda x: x.CompanyProfile.MarketCap, reverse = True)
return [ x.Symbol for x in sortByMarketCap[:self.numberOfSymbolsFine] ]