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                #!/usr/bin/env python  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                #  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                # Copyright 2014 Quantopian, Inc.  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                #  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                # Licensed under the Apache License, Version 2.0 (the "License");  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                # you may not use this file except in compliance with the License.  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                # You may obtain a copy of the License at  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                #  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                #     http://www.apache.org/licenses/LICENSE-2.0  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                #  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                # Unless required by applicable law or agreed to in writing, software  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                # distributed under the License is distributed on an "AS IS" BASIS,  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                # See the License for the specific language governing permissions and  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                # limitations under the License.  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                from zipline.api import order, record, symbol  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                def initialize(context):  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                    pass  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                def handle_data(context, data):  | 
            
            
                                                                        
                            
            
                                    
            
            
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                    order(symbol('AAPL'), 10) | 
            
            
                                                                        
                            
            
                                    
            
            
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                    record(AAPL=data[symbol('AAPL')].price) | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                # Note: this function can be removed if running  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                # this algorithm on quantopian.com  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                def analyze(context=None, results=None):  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                    import matplotlib.pyplot as plt  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                    # Plot the portfolio and asset data.  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                    ax1 = plt.subplot(211)  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                    results.portfolio_value.plot(ax=ax1)  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                    ax1.set_ylabel('Portfolio value (USD)') | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                    ax2 = plt.subplot(212, sharex=ax1)  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                    results.AAPL.plot(ax=ax2)  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                    ax2.set_ylabel('AAPL price (USD)') | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                    # Show the plot.  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                    plt.gcf().set_size_inches(18, 8)  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                    plt.show()  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                # Note: this if-block should be removed if running  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                # this algorithm on quantopian.com  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                if __name__ == '__main__':  | 
            
                            
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                    from datetime import datetime  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                    import pytz  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                    from zipline.algorithm import TradingAlgorithm  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                    from zipline.utils.factory import load_from_yahoo  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                    # Set the simulation start and end dates  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                    start = datetime(2014, 1, 1, 0, 0, 0, 0, pytz.utc)  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                    end = datetime(2014, 11, 1, 0, 0, 0, 0, pytz.utc)  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                    # Load price data from yahoo.  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                    data = load_from_yahoo(stocks=['AAPL'], indexes={}, start=start, | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                                           end=end)  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                    # Create and run the algorithm.  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                    algo = TradingAlgorithm(initialize=initialize, handle_data=handle_data,  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                                            identifiers=['AAPL'])  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                    results = algo.run(data)  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                    analyze(results=results)  | 
            
            
                                                        
            
                                    
            
            
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Duplicated code is one of the most pungent code smells. If you need to duplicate the same code in three or more different places, we strongly encourage you to look into extracting the code into a single class or operation.
You can also find more detailed suggestions in the “Code” section of your repository.