# 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 AlgorithmImports import * from Alphas.RsiAlphaModel import RsiAlphaModel from Alphas.EmaCrossAlphaModel import EmaCrossAlphaModel from Portfolio.EqualWeightingPortfolioConstructionModel import EqualWeightingPortfolioConstructionModel ### ### Show cases how to use the CompositeAlphaModel to define. ### class CompositeAlphaModelFrameworkAlgorithm(QCAlgorithm): '''Show cases how to use the CompositeAlphaModel to define.''' def initialize(self): self.set_start_date(2013,10,7) #Set Start Date self.set_end_date(2013,10,11) #Set End Date self.set_cash(100000) #Set Strategy Cash # even though we're using a framework algorithm, we can still add our securities # using the AddEquity/Forex/Crypto/ect methods and then pass them into a manual # universe selection model using securities.keys() self.add_equity("SPY") self.add_equity("IBM") self.add_equity("BAC") self.add_equity("AIG") # define a manual universe of all the securities we manually registered self.set_universe_selection(ManualUniverseSelectionModel()) # define alpha model as a composite of the rsi and ema cross models self.set_alpha(CompositeAlphaModel(RsiAlphaModel(), EmaCrossAlphaModel())) # default models for the rest self.set_portfolio_construction(EqualWeightingPortfolioConstructionModel()) self.set_execution(ImmediateExecutionModel()) self.set_risk_management(NullRiskManagementModel())