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In finance, faster trading poses new market problems

By | January 3, 2011, 7:35 AM PST

It wasn’t too long ago that stocks on the New York Stock Exchange were traded entirely by humans who scrawled notes on pieces of paper and hollered orders to each other in the chaos that was the Wall Street trading floor.

Now, that floor is empty, its traders replaced by increasingly sophisticated computing equipment located in unmarked warehouses across the river, in New Jersey.

It’s a natural transition. With computers, stock trades now occur at a rate of fractions of a second. (Take Nasdaq as an example: an average order takes 98 microseconds — that’s 98 millionths of a second — to place and confirm.)

In the ultra-competitive world of the financial markets, this is in many ways the holy grail: a competitive advantage limited only by technological advancement and the very laws of physics.

For that reason, financial firms are building these massive datacenters nearly as quickly as stocks are trading.

In an article in the New York Times — from which I borrowed the above statistic — this new infrastructure trend is explained in detail.

According to reporter Graham Bowley, it’s happening all over the country.

The owner of the Chicago Mercantile Exchange, the CME Group, is building a 428,000 sq. ft. datacenter in the western suburbs of Chicago. A Mississippi-based company named Spread Networks this summer completed an 825-mile fiberoptic network, stretching across central Pennsylvania to connect the South Loop of Chicago to Cartaret, N.J., home of the datacenters of New York’s largest financial markets.

(The point of all this? To reduce the round-trip trading time between Chicago and New York by three milliseconds.)

It’s hardly a trend exclusive to American financiers, either. Efficiencies are in pursuit for the route between Frankfurt, Germany and London, U.K. And then there’s the Hibernia Atlantic-built line across the pond, which in 2012 will slash the time to trade between London and New York to 60 milliseconds.

Rapidly, a massive financial infrastructure — a physical one, a technological one that costs billions of dollars, with transmission lines and computer racks and electricity bills high enough to make Clark Griswold blush — is materializing, all over the world.

Orders and strategies swing at a moment’s notice, guided by increasingly complex algorithms.

It’s a smarter financial system. Or is it?

The problem is that such intelligence and breakneck speed have created an entirely new set of challenges.

Aside from the energy issue — those supercomputers consume incredible amounts of electricity — there’s also the question of fairness. With financial firms going to such great lengths to shave millionths of a second off trading times for competitive advantage, is it any fairer?

Or has the bar just been raised again — the cutting edge that much thinner?

The other problem is that safety measures to prevent pile-on volatility must be put in place as rapidly as this infrastructure is being built, to prevent “flash crashes” like the one that occurred in May.

It’s a sobering article, and one I encourage you to read. Then ask yourself: are we really getting smarter, or are we playing with the financial equivalent of nuclear weapons — more powerful than imagination, but catastrophically destructive when out of control?

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Andrew Nusca

About Andrew Nusca

Andrew Nusca is the editor of SmartPlanet.

Andrew Nusca

Andrew Nusca

Editor

Andrew Nusca is editor of SmartPlanet and an associate editor for ZDNet. Previously, he worked at Money, Men's Vogue and Popular Mechanics magazines. He holds degrees from the Columbia University Graduate School of Journalism and New York University. He based in New York but resides in Philadelphia.

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Andrew Nusca

Andrew Nusca
Andrew Nusca does not hold any investments in the companies he covers.
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RE: In finance, faster trading poses new market problems
Let's re-introduce the short-term capital gains tax and put a stop to all this nonsense.

Turn the stock market back into a tool for investment and not a roulette game for skimming money out of the system.
Posted by becksdark
3rd Jan 2011
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RE: In finance, faster trading poses new market problems
If we had a sales tax on transactions of even 1 hundred of a percent
it would slow this stuff down, a lot.
You have millions of dollars of stock trading to yield just a few bucks,
but since its done many, many times a second it adds up quickly.

The only problem is that a lot of trades would likely just move over seas
and NY's economy would likely suffer as the financial firms flee.
Posted by richard233
3rd Jan 2011
0 Votes
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The real question is...
...is it possible to introduce some sort of geographical handicap,
such that location no longer matters?

Is there a way to truly level the playing field?
Posted by andrew.nusca
3rd Jan 2011
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That's the point of this, andrew
The very objective of all this tech is to level the playing field
geographically and reduce short timescale volatility. If the prices
in NYC Chicago and London vary by an average of a penny, it's
worth a vast fortune to equilibrate them. This among other
strategies is what puts the arb in stat arb.
Posted by caburlingame
3rd Jan 2011
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RE: In finance, faster trading poses new market problems
Wow..microsecond slot machines..How cool is that????
Posted by mss712
3rd Jan 2011
0 Votes
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Fast but...not that fast
I believe the latency is 98ms (milliseconds and not microseconds). It
is still incredibly fast. The reference to the Hibernia Atlantic and
Chicago/New York links appear to be correct.
Posted by mvitorino@...
3rd Jan 2011
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RE: In finance, faster trading poses new market problems
What you describe is correct, high-speed computers, co-location and algos are engaged in an arms race to compete in the trading world. But why is this any different from what has happened in the past? It's simply the next-evolutionary step of our markets. Past floor traders scrambled for the best spots, taller traders fared better, louder traders had an edge. High-Freq Trading has simply evolved those human-oriented advantages into bits-n-bytes. Algos make use of mathematical models, not just for arb but for other reasons as well. Of course, regulation will have a hand in this evolution, they already have with minimum quote obligations for market makers, the impact of that we've not seen the complete picture of as yet. The markets are comparable to a ecosystem, one that evolves however painful those changes might be to current participants.
Posted by LouisLovas
4th Jan 2011
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