Overall Statistics |
Total Trades 211 Average Win 0% Average Loss 0% Compounding Annual Return 813.650% Drawdown 1.400% Expectancy 0 Net Profit 4.652% Sharpe Ratio 4.451 Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha 4.631 Beta -163.556 Annual Standard Deviation 0.449 Annual Variance 0.202 Information Ratio 4.414 Tracking Error 0.449 Treynor Ratio -0.012 Total Fees $211.00 |
from clr import AddReference AddReference("System") AddReference("QuantConnect.Algorithm") AddReference("QuantConnect.Algorithm.Framework") AddReference("QuantConnect.Common") from System import * from QuantConnect import * from QuantConnect.Orders import * from QuantConnect.Algorithm import * from QuantConnect.Algorithm.Framework import * from QuantConnect.Algorithm.Framework.Alphas import * from QuantConnect.Algorithm.Framework.Portfolio import * from QuantConnect.Algorithm.Framework.Selection import * from Alphas.ConstantAlphaModel import ConstantAlphaModel from Selection.OptionUniverseSelectionModel import OptionUniverseSelectionModel from Execution.ImmediateExecutionModel import ImmediateExecutionModel from Risk.NullRiskManagementModel import NullRiskManagementModel from datetime import date, timedelta class BasicTemplateOptionsFrameworkAlgorithm(QCAlgorithmFramework): def Initialize(self): self.UniverseSettings.Resolution = Resolution.Minute self.SetStartDate(2018, 1, 1) self.SetEndDate(2018, 6, 1) self.SetCash(100000) self.SetUniverseSelection(CoarseFundamentalUniverseSelectionModel(self.CoarseSelectionFunction)) self.SetAlpha(ConstantOptionContractAlphaModel(InsightType.Price, InsightDirection.Up, timedelta(hours = 0.5))) self.SetPortfolioConstruction(SingleSharePortfolioConstructionModel()) self.SetExecution(ImmediateExecutionModel()) self.SetRiskManagement(NullRiskManagementModel()) def CoarseSelectionFunction(self, coarse): sortedByDollarVolume = sorted(coarse, key=lambda x: x.DollarVolume, reverse=True) self.symbols = [ x.Symbol for x in sortedByDollarVolume[:3] ] for symbol in self.symbols: option = self.AddOption(symbol.Value) option.SetFilter(-2, 2, timedelta(0), timedelta(182)) return self.symbols class ConstantOptionContractAlphaModel(ConstantAlphaModel): '''Implementation of a constant alpha model that only emits insights for option symbols''' def __init__(self, type, direction, period): super().__init__(type, direction, period) def ShouldEmitInsight(self, utcTime, symbol): # only emit alpha for option symbols and not underlying equity symbols if symbol.SecurityType != SecurityType.Option: return False return super().ShouldEmitInsight(utcTime, symbol) class SingleSharePortfolioConstructionModel(PortfolioConstructionModel): '''Portoflio construction model that sets target quantities to 1 for up insights and -1 for down insights''' def CreateTargets(self, algorithm, insights): targets = [] for insight in insights: targets.append(PortfolioTarget(insight.Symbol, insight.Direction)) return targets