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 * from System import * from QuantConnect import * from QuantConnect.Algorithm import * from QuantConnect.Indicators import * import decimal as d import operator class MyAlgorithm(QCAlgorithm): def Initialize(self): self.SetStartDate(2018, 3, 8) # Set Start Date self.SetEndDate(2018, 3, 14) self.SetCash(100000) # Set Strategy Cash self.symbolData = dict() for ticker in ["SCHW", "IVR", "ABBV", "SPG", "RY", "BHGE", "REGN", "ONB", "ELY", "ESNT", "PACW", "TTS", "WUBA", "WERN", "TRPE", "SINA"]: symbol = self.AddEquity(ticker, Resolution.Second).Symbol consolidator_daily = TradeBarConsolidator(timedelta(1)) consolidator_daily.DataConsolidated += self.OnDailyData self.SubscriptionManager.AddConsolidator(symbol, consolidator_daily) self.symbolData[symbol] = SymbolData() self.Schedule.On(self.DateRules.EveryDay(), self.TimeRules.At(9, 30, 2), Action(self.shortly_after_open_market)) def OnDailyData(self, sender, bar): self.symbolData[bar.Symbol].daily_rw.Add(bar) def shortly_after_open_market(self): for symbol in self.symbolData: if (self.Securities[symbol].Exchange.ExchangeOpen ): window = self.symbolData[symbol].window daily = self.symbolData[symbol].daily_rw if not (window.IsReady and daily.IsReady): continue self.Log(str(symbol)) def OnData(self, data): for symbol in data.Keys: if data[symbol] is None: continue window = self.symbolData[symbol].window window.Add(data[symbol]) daily = self.symbolData[symbol].daily_rw class SymbolData(object): def __init__(self): self.daily_rw = RollingWindow[TradeBar](2) self.window = RollingWindow[TradeBar](1)