Tokyo Stock Exchange Flickr/Stéfan

When we feel there's a situation out of our control, we often fall back on superstition to account for it. ("Nothing else is working, why not blame it on that black cat?") But when enough of us rely on superstition, it's not just an individual comfort; it starts to have real repercussions. Now a designer has created an algorithm trades stock superstitiously, and it's going to see if gambling based on full moons and thirteens can pay off.

Sid the Superstitious Robot (for which you can see the open-sourced code if you're so inclined) is governed by a set of rules programmed by 25-year-old Shing Tat Chung. Among them are a phobia of the number thirteen that prevents it from trading stocks on the thirteenth day of the month. On the other side of the scale, it has an affinity for new moons, but will sell during a full moon. It's a rewiring of other trading systems that make decisions based on more rational changes, such as costs of certain goods or other expected outcomes.

But those beliefs aren't concretely set; Sid incorporates new ones based on feedback from his performance. That doesn't equate to rationality: a certain pattern can be observed but also be imaginary, and the algorithm will incorporate it based on a superstitious "feeling" that it evokes.

We've seen some amazing-sounding algorithms even recently, but so far this one's just doing OK. It's at -5 percent of its original amount of cash, compared to a relative rise of about 4 percent on the market. But it does seem like the stock market is the place to try this; superstitions probably affect it at least somewhat, and an algorithm trading based on that could give us a glimpse into the rules of risk we subconsciously follow. The experiment will continue using real people's money, and at the end of the year we'll get to see what betting on full moons can buy.

[BBC]

5 Comments

First, we invested in companies for their characteristics and growth potentional. Now it just a numbers game, advance technology and gambling. Those with the best tech wins! As for as the orginal purpose of the stock market, the concept is long gone. Oh and where possible, the system is so easily corrupted too.

I just hope my investment firm isn't throwing money into this endeavor! LOL!

Interesting. In nature so such superstitions exist. However, the stock market is based on human trading patterns. Some of those humans may make supserstitious trading patterns part of their routines. However, to imply that the whole market will do this is rediculous. First indentify the possibility that a supserstition is apparently taking hold of the market somewhere. After this supserstition is apparent then apply the algorythm.

Treating the market as a totally susperstitious set of data is pretty stupid. Computers should not be taught how to be superstitious, just how to recognize and change the numbers accordingly to get more financial gain from such a human phenomena.

Gamblers should be fairly apparent to a trading computer. Just like they are apparent to the software of casinos. This is coginitive pyschology of humans not the teaching of superstition.

"Do not try and bend the spoon. That's impossible. Instead... only try to realize the truth. There is no spoon."

Ya, know.....
The first time I saw this article, I thought the picture was the Engineering Department from Star Trek Enterprise, but I was wrong, so never mind for reading my comment here. ;)

wow!


140 years of Popular Science at your fingertips.



Popular Science+ For iPad

Each issue has been completely reimagined for your iPad. See our amazing new vision for magazines that goes far beyond the printed page



Download Our App

Stay up to date on the latest news of the future of science and technology from your iPhone or Android phone with full articles, images and offline viewing



Follow Us On Twitter

Featuring every article from the magazine and website, plus links from around the Web. Also see our PopSci DIY feed


February 2013: How To Build A Hero

Engineers are racing to build robots that can take the place of rescuers. That story, plus a city that storms can't break and how having fun could lead to breakthrough science.

Also! A leech detective, the solution to America's train-crash problems, the world's fastest baby carriage, and more.



Online Content Director: Suzanne LaBarre | Email
Senior Editor: Paul Adams | Email
Associate Editor: Dan Nosowitz | Email

Contributing Writers:
Clay Dillow | Email
Rebecca Boyle | Email
Colin Lecher | Email
Emily Elert | Email

Intern:
Shaunacy Ferro | Email

circ-top-header.gif
circ-cover.gif
bmxmag-ps