Stackrumban Scrumban StackOverflow style

This entry is part 2 of 2 in the series Average Price Script

A thought experiment and Average Price Script 0.0.2

This is a thought experiment, so I have no idea whether it will make sense eventually. Scrumban is a cross between Scrum and Kanban. It has daily meetings but no fixed length sprints. The flow is continuous.

StackOverflow style

This seems very boring to me. Let’s add a point system like the one from StackOverflow. Team members can then vote, downvote or accept tasks and associated work. The Hudson build game is based on a similar idea, but it uses automatic scoring. Of course, we want to go further than that and have gradual unlocking of privileges and all sorts of badges.

Average Price Script 0.0.2

I was planning to write a long story about StackOverflow and Stackrumban, but now I decided to await how it all works out. If you are going to make more out of it, remember that I have the copyright! Instead I give the new version of Average Price Script 0.0.1. Now in Python with standard deviation. I used Numpy for the statistics.

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while True:
   req = urllib2.Request('http://finance.google.com/finance/info?client=ig&q=' + sys.argv[1])
   req.add_header('User-agent', 'Mozilla/5.0')
   response = urllib2.urlopen(req)
   page = response.read()
   m = re.search('l_cur" : "(.*)"', page)
   prices.append( float( m.group(1) ) )
   avg = mean( prices )
   sigma = std( prices )
 
   devFactor = float(sys.argv[3])
   min = avg - devFactor * sigma
   max = avg + devFactor * sigma
   timestr = strftime("%d %b %H:%M:%S", gmtime())
 
   print timestr, "Average", avg, numShares(avg), "-Std", min, numShares(min), "+Std", max, numShares(max)
   time.sleep(int(sys.argv[2]))

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Series NavigationAverage Price Script 0.0.1
By the author of NumPy Beginner's Guide, NumPy Cookbook and Instant Pygame. If you enjoyed this post, please consider leaving a comment or subscribing to the RSS feed to have future articles delivered to your feed reader.
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