# QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals. # Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. 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.Execution import * from QuantConnect.Algorithm.Framework.Portfolio import * from QuantConnect.Algorithm.Framework.Risk import * from QuantConnect.Algorithm.Framework.Selection import * from datetime import timedelta ### ### Test algorithm using 'QCAlgorithm.AddRiskManagement(IRiskManagementModel)' ### class AddRiskManagementAlgorithm(QCAlgorithm): '''Basic template framework algorithm uses framework components to define the algorithm.''' def Initialize(self): ''' Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized.''' self.UniverseSettings.Resolution = Resolution.Minute self.SetStartDate(2013,10,7) #Set Start Date self.SetEndDate(2013,10,11) #Set End Date self.SetCash(100000) #Set Strategy Cash symbols = [ Symbol.Create("SPY", SecurityType.Equity, Market.USA) ] # set algorithm framework models self.SetUniverseSelection(ManualUniverseSelectionModel(symbols)) self.SetAlpha(ConstantAlphaModel(InsightType.Price, InsightDirection.Up, timedelta(minutes = 20), 0.025, None)) self.SetPortfolioConstruction(EqualWeightingPortfolioConstructionModel()) self.SetExecution(ImmediateExecutionModel()) # Both setting methods should work riskModel = CompositeRiskManagementModel(MaximumDrawdownPercentPortfolio(0.02)) riskModel.AddRiskManagement(MaximumUnrealizedProfitPercentPerSecurity(0.01)) self.SetRiskManagement(MaximumDrawdownPercentPortfolio(0.02)) self.AddRiskManagement(MaximumUnrealizedProfitPercentPerSecurity(0.01))