Stock-Picking Computers
eldavojohn writes "A while ago, Slashdot ran an article on Algorithms used to augment or replace analysts. Today, the NY Times is running an article on stock-picking computers with quotes from the lovable Ray Kurzweil." From the article: "'Investment firms fall over themselves advertising their latest, most esoteric systems,' said Mr. Lo of M.I.T., who was asked by a $20 billion pension fund to design a neural network. He declined after discovering the investors had no real idea how such networks work. 'There are some pretty substantial misconceptions about what these things can and cannot do,' he said. 'As with any black box, if you don't know why it works, you won't realize when it's stopped working. Even a broken watch is right twice a day.'"
While the idea of stock picking algorithms is neat; market history suggest it won't work a a way to predict performance. What would be interesting is to better search for arbitrage opportunities to exploit faster than others. Of course, eventually others do the same and it becomes an arms race.
I'm a consultant - I convert gibberish into cash-flow.
That's not the same as automated stock picking.
Automated trading systems 'generally' are used to take a position in a stock that has already been picked.
So, trader A in Goldman Suchs wants to take a long position (buy) 100K shares of IBM, so he assigns that trade to the algorithmic trading engine, which might offer him various algorithms to help fulfill his position at the best possible price, ranging from %vol, VWAP, 'iceberg' or other type of algorithm.
notice, though, that the trader already had the stock to trade chosen, he didn't let the algorithmic engine choose it for him.
[ Yes, I am joking. I'm quite sure Mr. Lo is brilliant -- just maybe a touch too honest. :-) ]
John
[Note: the following example is based on my understanding of the stock market, which is most likely wrong]
Completely, but it's good that you know what you don't know--you'd lose a lot less money trading that way. It's impossible to parse stock news and figure out if it's good or bad. Using your example, if Google announces that it will exceed its previously projected earnings, it's just as likely the stock will crash as skyrocket. This is because market participants are working with earning estimation at a higher level than any current generation AI could possibly understand. Read up a bit on whisper numbers to get a feel for the challenges here.
Regardless, the notion that you as an individual could possibly get news and act on it faster than the people that really move the market around is naive anyway. Many of these announcements are made outside of trading hours, and after-hours trading is difficult for an individual to do. By the time the regular market opens up again, the big move is already done.
You didn't think the 370 Trillion in derivatives was traded by humans did you?
Of course, the entire planet's GDP is only 60 trillion, so even a little mistake means complete global meltdown.
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- Adam L. Beberg - The Cosm Project - http://www.mithral.com/