Futurismic

Ars Technica has an interesting article about a couple of recent stock-market glitches caused by high-frequency trading algorithms run amok. Long story short: a screw-up at Credit Suisse was caused by “a trader who accidentally double-clicked an icon in a trading program’s interface, when he should’ve single-clicked“.Yipes.

OK, so it’s not quite the same as a tired technician leaning on the nuclear launch button by accident, but given the utter dependence we have on the instruments of high-speed high finance, similar mistakes could cause global catastrophes. [image by Coffee Maker]

The problem is connected to so-called “day-traders”, computer-assisted stock deals that occur in the blink of an eye, often without much human interaction, and minor errors are amplified at the speed of light (or at least the speed of data in optical fibers) by the networks, causing fluxes that folk like you and I never notice, but which cost bankers and investors thousands of dollars in losses and fines…

Of course, the fact that such computer-driven volatility hurts day traders matters little to long-term investors. But the fear is that these glitches are fleeting indications that the system as a whole is vulnerable and unstable, and that the right combination of circumstances could cause what happend to RMBS to happen on a wider scale. This is especially true as even more of the trading activity, even among individual traders, shifts to automated platforms.

However, it’s not all doom and gloom; the last few years have seen a sharp increase in small trading firms of the two-guys-and-a-fast-computer type, small independent operators using the same techniques as the big banks to trade automatically through the blind of commercially-available trading software.

The Obama administration’s efforts to rein in high-frequency trading by eliminating flash orders and banning proprietary trading (much of which is HFT-based) from large banks will probably have the effect of leveling the playing field a bit for these smaller algo shops. As Matthew Goldstein at points out in his Reuters article on the topic, the prop desks may disappear, but the software and expertise will not. Instead of being concentrated at a few large banks, algo trading will just spread, as the talent behind it either jumps to new funds or goes solo.

Once again, the network corrodes hegemony… but whether a world where anyone and his dog can engage in automated high-frequency wheeler-dealing will be a safer, better and richer one remains to be seen.

“Curb your enthusiasm” seems to be the message of a new gadget from Philips Electronics and the Dutch bank ABN AMRO. They decided to collaborate on the “Rationalizer” bracelet system “after research confirmed that day traders sometimes act irrationally because their actions are affected by their stress level and powerful emotions such as greed or fear.”

The Rationalizer consists of an “EmoBracelet” and an “EmoBowl” and incorporates sensors and signal processors designed by Philips. The EmoBracelet’s galvanic skin response sensor measures the level of emotional arousal in a similar way to a lie detector. The result is displayed on either the bracelet or the EmoBowl as a light display that intensifies and changes to reflect the wearer’s intensifying emotional arousal. At the highest emotional stress level the display has a greater number of elements moving at higher speed, and the color changes to a warning red.

The video is pretty entertaining. Yes, it does look like a phildickian update of the old mood ring. And it’s not just for day traders willing to admit that they sometimes get carried away.

Senior Director at Philips Design Clive van Heerden said emotional sensing was becoming more important in today’s digital world. He also believes there are many other possible applications, such as game controllers, intelligent cameras to interpret social situations, or even dating sites that enable you to tell who is attracted to you.

Also, you have to love the name of the division of the bank that worked on this device: the Dialogues Incubator.

[Story and image: PhysOrg.com]

George Dyson has an excellent and compelling essay on game theory, economics, information theory, computer science, banking, finance, technology, and John von Neumann:

We are surrounded by codes (some Turing-universal) that make copies of themselves, and by physical machines that spawn virtual machines that in turn spawn demand for more physical machines. Some digital sequences code for spreadsheets, some code for music, some code for operating systems, some code for sprawling, metazoan search engines, some code for proteins, some code for the gears used in numerically-controlled gear-cutting machines, and, increasingly, some code for DNA belonging to individuals who serve as custodians and creators of more code. “It is easier to write a new code than to understand an old one,” von Neumann warned.

The monograph over on Edge discusses von Neumann’s intellectual antecendants and the development of game theory and statistical modelling. It also includes some interesting commentary on our recent economic difficulties. Definitely worth a read.

[image from kevindooley on flickr]

Remember that story we ran a few weeks back about the alleged theft of the Goldman-Sachs automated trading code?

Well, thanks to said case, Goldman-Sachs and the high-frequency automatic trading (HFT) practices that they dominate are increasingly sliding into the spotlight of Congressional scrutiny, so Ars Technica have knocked up a brief guide to what it’s all about. If you thought “the markets” were those guys in suits shouting at each other on the trading room floor, think again. [image by Coffee Maker]

If you look under the hood of the markets in 2009, you’ll find that the trading floor has been replaced by electronic networks; the frantic, hand-signaling traders have been replaced by computer systems; and all of moves in the trader’s dance—a thousand little tricks and techniques (some legal, some questionable, and some outright illegal) for taking regular advantage of speed, location, and information to generate profits—are executed hundreds of times per second, billions of times per day. And the whole enterprise is mainly powered by the same hardware from Intel, AMD, and NVIDIA, that Ars readers use for gaming.

[...]

Only about three percent of the trading volume on the NYSE is actually carried out by means of traditional “open outcry” trading, where flesh-and-blood humans gather to buy and sell securities. The other 97 percent of NYSE trades are executed via electronic communication networks (ECNs), which, over the past ten years, have rapidly replaced trading floors as the main global venue for buying and selling every asset, derivative, and contract. So the ECNs are the markets in 2009, and those pit traders who pose for the cameras are mainly there for the cameras.

In other words, Josephine Average Stock-Trader is going head to head with supercomputers every time she dips a toe into the game. The ECN algorithms specialise in making millions of tiny trades, each making fractions of pennies of profit – small beer when considered in isolation, but big profits when scaled up to the sheer volume of transactions that these systems can handle.

It’s like a vast virtual ecosystem of predatory code-critters; go find out more about it. Know thy enemy, and all that.

In what appears to be a very contemporary story of industrial espionage, we discover that 32MB of computer code could be the key to the success of one of the most powerful financial organisations on the face of the planet – and that someone may well have copied and uploaded it  for purposes unknown. [via SlashDot]

While most in the US were celebrating the 4th of July, a Russian immigrant living in New Jersey was being held on federal charges of stealing top-secret computer trading codes from a major New York-based financial institution—that sources say is none other than Goldman Sachs.

The allegations, if true, are big news because the codes the accused man, Sergey Aleynikov, tried to steal is the secret code to unlocking Goldman’s automated stocks and commodities trading businesses. Federal authorities allege the computer codes and related-trading files that Aleynikov uploaded to a German-based website help this major “financial institution” generate millions of dollars in profits each year.

The platform is one of the things that apparently gives Goldman a leg-up over the competition when it comes to rapid-fire trading of stocks and commodities. Federal authorities say the platform quickly processes rapid developments in the markets and uses top secret mathematical formulas to allow the firm to make highly-profitable automated trades.

This is somewhat of a double bind for Goldman Sachs, as prosecuting the alleged theft will require them to reveal a certain amount of their business secrets at a time when people aren’t best disposed toward Wall Street profiteering. It also sheds a less than flattering light on the FBI’s investigative priorities:

What is probably most notable, in less than a month since Sergey’s departure from [Goldman?], the FBI was summoned to task and the alleged saboteur was arrested and promptly gagged: if anyone is amazed by the unprecedented speed of this investigative process, you are not alone. If only the FBI were to tackle cases of national security and loss of life with the same speed and precision as they confront presumed high-frequency program trading industrial espionage cases… especially those that allegedly involve Goldman Sachs.

I think this is going to be one of those stories that will grow with the telling, and Goldman Sachs are going to come out looking bad whether they win or lose the case. Couldn’t happen to a nicer bunch of people, AMIRITE?