diff --git a/zipline/examples/buyapple.py b/zipline/examples/buyapple.py
index c1bd253b..9ef53fce 100755
--- a/zipline/examples/buyapple.py
+++ b/zipline/examples/buyapple.py
@@ -24,3 +24,38 @@ def initialize(context):
 def handle_data(context, data):
     order(symbol('AAPL'), 10)
     record(AAPL=data[symbol('AAPL')].price)
+
+
+# Note: this if-block should be removed if running
+# this algorithm on quantopian.com
+if __name__ == '__main__':
+    from datetime import datetime
+    import matplotlib.pyplot as plt
+    import pytz
+    from zipline.algorithm import TradingAlgorithm
+    from zipline.utils.factory import load_from_yahoo
+
+    # Set the simulation start and end dates
+    start = datetime(2014, 1, 1, 0, 0, 0, 0, pytz.utc)
+    end = datetime(2014, 11, 1, 0, 0, 0, 0, pytz.utc)
+
+    # Load price data from yahoo.
+    data = load_from_yahoo(stocks=['AAPL'], indexes={}, start=start,
+                           end=end)
+
+    # Create and run the algorithm.
+    algo = TradingAlgorithm(initialize=initialize, handle_data=handle_data,
+                            identifiers=['AAPL'])
+    results = algo.run(data)
+
+    # Plot the portfolio and asset data.
+    ax1 = plt.subplot(211)
+    results.portfolio_value.plot(ax=ax1)
+    ax1.set_ylabel('Portfolio value (USD)')
+    ax2 = plt.subplot(212, sharex=ax1)
+    results.AAPL.plot(ax=ax2)
+    ax2.set_ylabel('AAPL price (USD)')
+
+    # Show the plot.
+    plt.gcf().set_size_inches(18, 8)
+    plt.show()
diff --git a/zipline/examples/dual_moving_average.py b/zipline/examples/dual_moving_average.py
index 5ee23ad7..c1204d02 100755
--- a/zipline/examples/dual_moving_average.py
+++ b/zipline/examples/dual_moving_average.py
@@ -60,3 +60,47 @@ def handle_data(context, data):
     record(AAPL=data[context.sym].price,
            short_mavg=short_mavg[context.sym],
            long_mavg=long_mavg[context.sym])
+
+
+# Note: this if-block should be removed if running
+# this algorithm on quantopian.com
+if __name__ == '__main__':
+    from datetime import datetime
+    import matplotlib.pyplot as plt
+    import pytz
+    from zipline.algorithm import TradingAlgorithm
+    from zipline.utils.factory import load_from_yahoo
+
+    # Set the simulation start and end dates
+    start = datetime(2011, 1, 1, 0, 0, 0, 0, pytz.utc)
+    end = datetime(2013, 1, 1, 0, 0, 0, 0, pytz.utc)
+
+    # Load price data from yahoo.
+    data = load_from_yahoo(stocks=['AAPL'], indexes={}, start=start,
+                           end=end)
+
+    # Create and run the algorithm.
+    algo = TradingAlgorithm(initialize=initialize, handle_data=handle_data,
+                            identifiers=['AAPL'])
+    results = algo.run(data)
+
+    # Plot the portfolio and asset data.
+    fig = plt.figure()
+    ax1 = fig.add_subplot(211)
+    results.portfolio_value.plot(ax=ax1)
+    ax1.set_ylabel('Portfolio value (USD)')
+    ax2 = fig.add_subplot(212)
+    ax2.set_ylabel('Price in (USD)')
+    results[['AAPL', 'short_mavg', 'long_mavg']].plot(ax=ax2)
+    trans = results.ix[[t != [] for t in results.transactions]]
+    buys = trans.ix[[t[0]['amount'] > 0 for t in
+                    trans.transactions]]
+    sells = trans.ix[[t[0]['amount'] < 0 for t in trans.transactions]]
+    ax2.plot(buys.index, results.short_mavg.ix[buys.index],
+             '^', markersize=10, color='m')
+    ax2.plot(sells.index, results.short_mavg.ix[sells.index],
+             'v', markersize=10, color='k')
+    plt.legend(loc=0)
+
+    # Show the plot.
+    plt.show()