| 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 UncoupledResistanceEngine(QCAlgorithm):
def Initialize(self):
self.SetStartDate(2014, 11, 27) # Set Start Date
self.SetEndDate(2018, 12, 20)
self.SetCash(100000) # Set Strategy Cash
# self.AddEquity("SPY", Resolution.Minute)
self.UniverseSettings.Resolution = Resolution.Daily
self.AddUniverseSelection(FineFundamentalUniverseSelectionModel(self.CoarseSelectionFunction, self.FineSelectionFunction, None, None))
self.update = False # flag
self.rw = {} # stores a dictionary mapping from symbol to its past 8 years EPS record
def OnData(self, data):
'''OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
Arguments:
data: Slice object keyed by symbol containing the stock data
'''
# if not self.Portfolio.Invested:
# self.SetHoldings("SPY", 1)
# sort the data by daily dollar volume and take the top 'NumberOfSymbols'
def CoarseSelectionFunction(self, coarse):
# enable update, wait for the start of next quarter
if not self.Time.month%3 == 0:
self.update = True
if not (self.update and self.Time.month%3==0): return []
# pass all tickers with fundamental data to fine selection
self.filtered_coarse = [x.Symbol for x in coarse if (x.HasFundamentalData)]
return self.filtered_coarse
# return symbols that has had positive EPS for previous 8 quarters
def FineSelectionFunction(self, fine):
if not (self.update and self.Time.month%3==0): return []
selected = []
for f in fine:
if not f.Symbol in self.rw.keys():
self.rw[f.Symbol] = RollingWindow[int](8)
if f.EarningReports.BasicEPS.ThreeMonths > 0:
self.rw[f.Symbol].Add(1)
else:
self.rw[f.Symbol].Add(0)
if self.rw[f.Symbol].IsReady and sum(self.rw[f.Symbol]) == 8:
selected.append(f.Symbol)
self.Log([x.Value for x in selected])
# disable update until next month
self.update = False
return selected