Run sample

Dockerfile

@@ -9,7 +9,8 @@ COPY Pipfile.lock $workdir
 
 RUN pip install --upgrade pip && \
     pip install pipenv && \
-    pipenv sync
+    pipenv sync && \
+    git clone https://github.com/mementum/backtrader.git /opt/backtrader
 
 CMD ["pipenv", "run", "python", "main.py"]
 

main.py

@@ -1,10 +1,42 @@
+# from __future__ import (absolute_import, division, print_function,
+#                        unicode_literals)
+
+import datetime  # For datetime objects
+import os.path  # To manage paths
+import sys  # To find out the script name (in argv[0])
+
+# Import the backtrader platform
 import backtrader as bt
 
 if __name__ == '__main__':
+    # Create a cerebro entity
     cerebro = bt.Cerebro()
 
+    # Datas are in a subfolder of the samples. Need to find where the script is
+    # because it could have been called from anywhere
+    modpath = os.path.dirname(os.path.abspath(sys.argv[0]))
+    datapath = os.path.join(modpath, '/opt/backtrader/datas/orcl-1995-2014.txt')
+
+    # Create a Data Feed
+    data = bt.feeds.YahooFinanceCSVData(
+        dataname=datapath,
+        # Do not pass values before this date
+        fromdate=datetime.datetime(2000, 1, 1),
+        # Do not pass values after this date
+        todate=datetime.datetime(2000, 12, 31),
+        reverse=False)
+
+    # Add the Data Feed to Cerebro
+    cerebro.adddata(data)
+
+    # Set our desired cash start
+    cerebro.broker.setcash(100000.0)
+
+    # Print out the starting conditions
     print('Starting Portfolio Value: %.2f' % cerebro.broker.getvalue())
 
+    # Run over everything
     cerebro.run()
 
+    # Print out the final result
     print('Final Portfolio Value: %.2f' % cerebro.broker.getvalue())