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 -0.017 Tracking Error 0.109 Treynor Ratio 0 Total Fees $0.00 Estimated Strategy Capacity $0 Lowest Capacity Asset |
from QuantConnect.Data.Custom.CBOE import CBOE from QuantConnect.Data.Custom.Fred import * class RSIAlgorithm(QCAlgorithm): def Initialize(self): self.SetStartDate(2020, 1, 1) self.SetEndDate(2020, 2, 1) self.SetCash(1000000) self.buffer = 0.02 self.Settings.FreePortfolioValuePercentage = self.buffer self.UniverseSettings.Resolution = Resolution.Minute self.UniverseSettings.ExtendedMarketHours = True self.SetBrokerageModel(BrokerageName.AlphaStreams) self.vix = self.AddData(CBOE, 'VIX', Resolution.Daily).Symbol self.value = self.AddEquity("SPY", Resolution.Minute).Symbol tickers = [self.value] self.SetUniverseSelection(ManualUniverseSelectionModel(tickers)) ValueDailyConsolidator = TradeBarConsolidator(timedelta(days=1)) ValueDailyConsolidator.DataConsolidated += self.ValueDailyBarHandler self.SubscriptionManager.AddConsolidator("SPY", ValueDailyConsolidator) self.valuesma = self.SMA(self.value, 1, Resolution.Daily) self.Schedule.On(self.DateRules.EveryDay(self.value), self.TimeRules.AfterMarketOpen(self.value, -30), Action(self.trade)) self.SetWarmUp(100) self.valueClose = None def ValueDailyBarHandler(self, sender, bar): self.Log(f'New Bar: {bar.Close} @ {self.Time}') # Saving new bar to variable: self.valueClose = bar.Close def trade(self): # if self.valueClose is not None: self.Log(f'Time: {self.Time}') self.Log(f'Value Close: {self.valueClose}') self.Log(f'Value SMA: {self.valuesma.Current.Value}') self.Log("-------------------") def OnData(self, data): pass