| 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 -4.086 Tracking Error 0.183 Treynor Ratio 0 Total Fees $0.00 |
class Algo(QCAlgorithm):
def Initialize(self):
self.SetStartDate(2020, 8, 1)
self.SetEndDate(2020, 8, 15)
self.SetCash(100000)
self.SetBrokerageModel(BrokerageName.InteractiveBrokersBrokerage, AccountType.Margin)
self.UniverseSettings.Resolution = Resolution.Minute
self.symbol = "QQQ"
self.qqq = self.AddEquity(self.symbol, Resolution.Minute)
self.qqq.SetDataNormalizationMode(DataNormalizationMode.SplitAdjusted)
self.SetBenchmark(self.symbol)
self.Schedule.On(self.DateRules.EveryDay(), self.TimeRules.AfterMarketOpen(self.symbol, 1), self.scheduleMarketOpen1)
self.Schedule.On(self.DateRules.EveryDay(), self.TimeRules.AfterMarketOpen(self.symbol, 2), self.scheduleMarketOpen2)
self.firstDay = 1
self.missing = 0
self.SetWarmup(5000)
def OnData(self, data):
pass
def scheduleMarketOpen1(self):
self.Log("scheduleMarketOpen1")
if self.firstDay != 1:
history = self.History([self.symbol], 1, Resolution.Daily)
if str(self.symbol) in history.index:
for time, row in history.loc[self.symbol].iterrows():
self.Log(str(row["close"]))
self.missing = 0
else:
self.Debug("missing")
self.missing = 1
else:
self.firstDay = 0
# run in case of missing data -> doesn't seem to fetch correct data on 2020-08-11
def scheduleMarketOpen2(self):
if self.missing:
self.Log("scheduleMarketOpen2")
if self.firstDay != 1:
history = self.History([self.symbol], 1, Resolution.Daily)
if str(self.symbol) in history.index:
for time, row in history.loc[self.symbol].iterrows():
self.Log(str(row["close"]))
self.missing = 0
else:
self.Debug("missing")
self.missing = 1
else:
self.firstDay = 0