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 |
from QuantConnect.Data.Market import TradeBar from datetime import timedelta from System import * from QuantConnect import * from QuantConnect.Algorithm import * from QuantConnect.Indicators import * import decimal as d class MyAlgorithm(QCAlgorithm): def Initialize(self): self.SetStartDate(2015, 05, 1) # Set Start Date self.SetEndDate(2015, 07, 19) self.SetCash(100000) # Set Strategy Cash self.symbolData = dict() for ticker in ["SPY", "FB", "TWTR"]: symbol = self.AddEquity(ticker, Resolution.Second).Symbol consolidator_daily = TradeBarConsolidator(timedelta(1)) consolidator_daily.DataConsolidated += self.OnDailyData self.SubscriptionManager.AddConsolidator(symbol, consolidator_daily) consolidator_minute = TradeBarConsolidator(60) consolidator_minute.DataConsolidated += self.OnMinuteData self.SubscriptionManager.AddConsolidator(symbol, consolidator_minute) self.symbolData[symbol] = SymbolData() self.Schedule.On(self.DateRules.EveryDay(), self.TimeRules.AfterMarketOpen('SPY', 1), Action(self.one_minute_after_open_market)) self.Schedule.On(self.DateRules.EveryDay(), self.TimeRules.BeforeMarketClose('SPY', 1), Action(self.before_close_market)) # Add daily bar to daily rolling window def OnDailyData(self, sender, bar): self.symbolData[bar.Symbol].daily_rw.Add(bar) def OnMinuteData(self, sender, bar): self.symbolData[bar.Symbol].minute_rw.Add(bar) def one_minute_after_open_market(self): pass def before_close_market(self): for k in self.symbolData: self.Debug(str(self.symbolData[k].minute_rw[1])) def OnData(self, data): pass class SymbolData(object): def __init__(self): self.daily_rw = RollingWindow[TradeBar](2) self.minute_rw = RollingWindow[TradeBar](2) self.window = RollingWindow[TradeBar](2)