
The number-crunchers on Wall Street are starting to crunch something else: the news.
Math-loving traders are using powerful computers to speed-read news reports, editorials, company Web sites, blog posts and even Twitter messages — and then letting the machines decide what it all means for the markets.
The development goes far beyond standard digital fare like most-read and e-mailed lists. In some cases, the computers are actually parsing writers’ words, sentence structure, even the odd emoticon. A wink and a smile — ;) — for instance, just might mean things are looking up for the markets. Then, often without human intervention, the programs are interpreting that news and trading on it.
Given the volatility in the markets and concern that computerized trading exaggerates the ups and downs, the notion that Wall Street is engineering news-bots might sound like an investor’s nightmare.
But the development, years in the making, is part of the technological revolution that is reshaping Wall Street. In a business where information is the most valuable commodity, traders with the smartest, fastest computers can outfox and outmaneuver rivals.
Graham Bowley writes in the New York Times
Finance Focus
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Financial Modelling in Practice - A Concise Guide for Intermediate and Advanced Level with CD ROM
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