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 clr import AddReference AddReference("System") AddReference("QuantConnect.Algorithm") AddReference("QuantConnect.Common") from System import * from QuantConnect import * from QuantConnect.Algorithm import * from QuantConnect.Indicators import * from QuantConnect.Data.Market import TradeBar class RollingWindowAlgorithm(QCAlgorithm): def Initialize(self): self.SetStartDate(2013, 6, 1) #Set Start Date self.SetEndDate(2017, 7, 1) #Set End Date self.SetCash(10000) #Set Strategy Cash self.SetBrokerageModel(BrokerageName.FxcmBrokerage) self.AddForex("EURUSD", Resolution.Daily) self.window = RollingWindow[QuoteBar](2) # create a bollinger band self.Bolband = self.BB("EURUSD", 20, 0.75, MovingAverageType.Simple, Resolution.Daily) self.BolbandWin = RollingWindow[IndicatorDataPoint](5) # set warmup period self.SetWarmUp(20) def BolbandUpdated(self, sender, updated): '''Adds updated values to rolling window''' self.Updated += self.BolbandUpdated self.BolbandsWin.Add(updated) def OnData(self, data): self.window.Add(data["EURUSD"]) if not (self.window.IsReady and self.BolbandWin.IsReady): return holdings = self.Portfolio["EURUSD"].Quantity price = self.window[0] previousPrice = self.window[1] if holdings <= 0: if previousPrice <= self.Bolband.LowerBand.Current.Value and price > self.Bolband.LowerBand.Current.Value: self.SetHoldings("EURUSD", 1.0) if holdings > 0: if previousPrice >= self.Bolband.UpperBand.Current.Value and price < self.Bolband.UpperBand.Current.Value: self.Liquidate() if previousPrice <= self.Bolband.LowerBand.Current.Value and price > self.Bolband.LowerBand.Current.Value: self.SetHoldings("EURUSD", 1.0)