diff --git a/zipline/examples/buy_and_hold.py b/zipline/examples/buy_and_hold.py
new file mode 100644
index 00000000..c248ddb0
--- /dev/null
+++ b/zipline/examples/buy_and_hold.py
@@ -0,0 +1,45 @@
+#!/usr/bin/env python
+#
+# Copyright 2015 Quantopian, Inc.
+#
+# 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.
+import pandas as pd
+from zipline import TradingAlgorithm
+from zipline.api import order, sid
+from zipline.data.loader import load_bars_from_yahoo
+
+# creating time interval
+start = pd.Timestamp('2008-01-01', tz='UTC')
+end = pd.Timestamp('2013-01-01', tz='UTC')
+
+# loading the data
+input_data = load_bars_from_yahoo(
+    stocks=['AAPL', 'MSFT'],
+    start=start,
+    end=end,
+)
+
+
+def initialize(context):
+    context.has_ordered = False
+
+
+def handle_data(context, data):
+    if not context.has_ordered:
+        for stock in data:
+            order(sid(stock), 100)
+        context.has_ordered = True
+
+
+algo = TradingAlgorithm(initialize=initialize, handle_data=handle_data)
+results = algo.run(input_data)