| Overall Statistics |
|
Total Orders 0 Average Win 0% Average Loss 0% Compounding Annual Return 0% Drawdown 0% Expectancy 0 Start Equity 100000 End Equity 100000 Net Profit 0% Sharpe Ratio 0 Sortino 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 -0.88 Tracking Error 0.126 Treynor Ratio 0 Total Fees $0.00 Estimated Strategy Capacity $0 Lowest Capacity Asset Portfolio Turnover 0% Drawdown Recovery 0 |
# region imports
from AlgorithmImports import *
from time import time
# endregion
class MeasuredYellowDog(QCAlgorithm):
def initialize(self):
self.set_start_date(2009, 1, 1)
self.set_end_date(2015, 1, 1)
self.universe_settings.resolution = Resolution.DAILY
self._universe = self.add_universe(self.universe.etf("SPY"))
self.schedule.on(self.date_rules.every_day("SPY"), self.time_rules.midnight, self._plot)
def _plot(self):
if not self._universe.selected:
return
t0 = time()
for symbol in self._universe.selected:
if symbol not in self.securities:
continue
code = self.securities[symbol].fundamentals.asset_classification.morningstar_sector_code
self.plot('DT','milliseconds', (time()-t0)*1000)