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 |
# CryptoVolatilityTap (v4, ETHUSD, Minute, Py) # Tap crypto volatility spikes from clr import AddReference AddReference("System") AddReference("QuantConnect.Algorithm") AddReference("QuantConnect.Indicators") AddReference("QuantConnect.Common") from System import * from QuantConnect import * from QuantConnect.Data import * from QuantConnect.Algorithm import * from QuantConnect.Indicators import * from QuantConnect.Data.Consolidators import * from datetime import datetime import decimal as d import numpy as np class CVTap(QCAlgorithm): def Initialize(self): self.SetStartDate(2017,11,1) #Set Start Date self.SetEndDate(2017,11,14) #Set End Date self.SetCash(10000) #Set Strategy Cash self.fxPair = "EURUSD" # Add EURUSD self.AddForex(self.fxPair, Resolution.Minute) # Create consolidator for 30 minutes consThirtyMin = QuoteBarConsolidator(30) consThirtyMin.DataConsolidated += self.OnDataConsolidated self.SubscriptionManager.AddConsolidator(self.fxPair, consThirtyMin) self.bb30 = BollingerBands("30minBB", 20,2,MovingAverageType.Simple) # Inititalize rolling window which stores to store upper bollinger band indicator values self.bbUpperRollingWindow = RollingWindow[float](3) def OnDataConsolidated(self, sender, bar): # Update bb30 indicator self.bb30.Update(bar.EndTime, bar.Close) # Add to rolling window self.bbUpperRollingWindow.Add(self.bb30.Current.Value) def OnData(self, data): # Return if rolling window is not ready if not self.bbUpperRollingWindow.IsReady: return self.Log("upper rolling window : " + str(self.bbUpperRollingWindow[0]))