金融市場

The big data scramble in markets still relies on people

One of the simplest ways to make money in financial markets is to trade on price-sensitive information ahead of everyone else. As the apocryphal story goes, Nathan Mayer Rothschild had great success on the government bond market in 1815 by learning about the outcome of the Battle of Waterloo before other investors.

Trading on inside information these days tends to result in jail time. But the Big Data revolution, combined with the application of machine learning technologies and supercomputing powers, is creating a whole new class of information that can give investors a legal edge.

“We are living through a data explosion,” says Tammer Kamel, founder and chief executive of Quandl, a Toronto-based data company. “Every person, every machine, every computer is creating data. And explicitly or implicitly embedded in all this data are little nuggets of alpha.”

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