# 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.Common") AddReference("QuantConnect.Algorithm") AddReference("QuantConnect.Algorithm.Framework") from QuantConnect import * from QuantConnect.Algorithm import * from QuantConnect.Algorithm.Framework import * from QuantConnect.Algorithm.Framework.Portfolio import PortfolioTarget from QuantConnect.Algorithm.Framework.Risk import RiskManagementModel class MaximumDrawdownPercentPerSecurity(RiskManagementModel): '''Provides an implementation of IRiskManagementModel that limits the drawdown per holding to the specified percentage''' def __init__(self, maximumDrawdownPercent = 0.05): '''Initializes a new instance of the MaximumDrawdownPercentPerSecurity class Args: maximumDrawdownPercent: The maximum percentage drawdown allowed for any single security holding''' self.maximumDrawdownPercent = -abs(maximumDrawdownPercent) def ManageRisk(self, algorithm, targets): '''Manages the algorithm's risk at each time step Args: algorithm: The algorithm instance targets: The current portfolio targets to be assessed for risk''' targets = [] for kvp in algorithm.Securities: security = kvp.Value if not security.Invested: continue pnl = security.Holdings.UnrealizedProfitPercent if pnl < self.maximumDrawdownPercent: # liquidate targets.append(PortfolioTarget(security.Symbol, 0)) return targets