Inside Chinas Surreal Housing Bubble on 60 Minutes

This is a great 60 minutes piece on China’s housing bubble. The middle class is turning towards real-estate for investment so builders are constantly putting up new buildings, developments and cities. But with only a privileged few buying multiple apartments, there is nobody to occupy these new developments who remain ghost towns for months and years.

As a side question: what would happen to the world markets if the Chinese economy was to implode?

7 Ways to Manage Email So It Doesnt Manage You | LinkedIn

An excellent article by Jeff Weiner at LinkedIn about managing email. Having done IT for several firms, I’ve seen it all. From people who simply can’t keep track, with Inboxes full of thousands of unread messages, to people who over process and over categorize, ending up with one category for each thread and spending 75% of their time managing emails.

Jeff presents great tips in his full article here.

Enjoy!

Quandl

Graph of Market Cap AnalysisI have recently discovered Quandl, which, per their website description:

[…] has indexed millions of time-series data from over 400 sources. All of Quandl’s datasets are open and free. You can download any Quandl dataset in any format that you want. You can also visualize, save, share, authenticate, validate, upload, index, merge and transform data. Our long-term goal is to make all the numerical data on the internet easy to find & easy to use.

Read More …

Unixrealm Posts 06/05/2013

Posted from Diigo. The rest of my favorite links are here.

Encrypted messages to kids

Crypto-WheelLast time I changed job, it meant an increase in commute (from 5 minutes to an hour) which also meant I would not see my kids every morning. So I picked up the habit (since then lost mind you) of setting the table for their breakfast and leaving them a note, wishing them a good day. Who knew that from a simple note, things would evolve to teaching encryption.
Of course, the simple note grew old over time so I started looking for alternatives. After trying the multi-color notes and various “analog” mediums, I turned to Bamboo Paper on the iPad and that provide several options. I also played around with a Boogie Board Rip and that provided an interesting alternative for a few days but it was short lived.
Read More …

Computational Investing, Part I at Coursera

I posted a little while ago about a Coursera class I took which covered financial analysis done with Python. The course was called Computational Investing, Part I. I find the topic interesting so I figured I would highlight what I enjoyed the most in a short series of posts.

The course, offered by Tucker Balch, an associate professor at Georgia Tech, covered various topics of portfolio management including several drawn from: Active Portfolio Management: A Quantitative Approach for Producing Superior Returns and Controlling Risk by Richard Grinold, Ronald Kahn.

Active Portfolio Management, by Grinold and Khan

We can breakdown the course in two distinct portions:

  • Lectures and theory :: The lectures covered a number of topics relating to instruments and portfolio valuations like:
    • Market mechanics
    • What is a company really worth
    • Capital Asset Pricing Model (CAPM)
    • Risk and Sharpe ratio
    • and more.
  • Practical work :: On the practical side, several homework was given where we explored computational techniques using Python, Pandas and QSTK:
    • Intro to Python/Pandas
    • Manipulating data with Numpy
    • Manipulating market data with QSTK
    • and more.

The lectures were well adapted for a beginner audience. Someone who understands the concepts could easily skip or fast forward through some of the lectures. I would sill consider the course useful as long as you are getting what you need from the practical homework.

Some students clearly did not have enough background with scripting and coding and struggled with the assignments. Yet they still benefited from the lectures and know more now about market mechanics, portfolios and risk.

Overall, I was very satisfied with the material presented in the course. Not perfect in any way but easy to adapt depending on your current situation and skill level. The lectures were interesting and provided some background information and more than enough leads for the curious mind to follow and research in depth.  One of the hardest thing to do when learning something new is motivate yourself to write useless code for the sole purpose of learning and practicing. This class provided the motivation required since the homework assignments forced me to code on deadline.

It is following the basic topics of the course that I embarked on my mission to dig deeper into Python, Numpy, QSTK and analysis of financial data using these tools.

In the next post, I will explore QSTK’s basic functionality.

Previous and related:

Next on topic (this is work in progress, most posts will show up in the weeks to come):

  • more to come…

What does one half second of trading look like?

Great piece in Smithsonian.com which covers work done by Eric Hunsader at NANEX.

NANEX produced a great video which shows one half second of JNJ order flow. It was slowed down so we can visualize the flow and see fast the top of book changes at each exchanges. Make sure to watch in HD and full-screen to improve the experience:

According to Eric Hunsader:

Each box represents one exchange. The SIP (CQS in this case) is the box at 6 o’clock. It shows the National Best Bid/Offer. Watch how much it changes in a fraction of a second. The shapes represent quote changes which are the result of a change to the top of the book at each exchange. The time at the bottom of the screen is Eastern Time HH:MM:SS:mmm (mmm = millisecond). We slow time down so you can see what goes on at the millisecond level. A millisecond (ms) is 1/1000th of a second.

This video was part of Mr. Hunsader presentation at the Wired conference.

IPv4 Addresses Now Driving Hosting Deals » Data Center Knowledge

Impressive that the shortage of IPv4 addresses (the classic xxx.xxx.xxx.xxx) and the very slow transition towards IPv6 (designed to alleviate this shortage) is now adding a new metric to potential merger deals between hosting companies: does the target have available IPv4 addresses?

So need more IPv4 space? Get a good investment banker and go after a company who has them available.

More on Data Center Knowledge

iFrame test post

This is a test post, to see how well I can use iFrames to include contnent in a post. This is the QSTK Tutorial 1 notebook I have:

Thanks.