Financial robots,called "black boxes", are computer systems which are specialized on dealings. They came into general use in 80s, but became widespread only in 90s, because in that time dealing automotization was completed. Purpose of the robots the same is the brokers' one: to buy cheaper, to sell more expensive.In the global financial markets thousands of robots gamble, hundreds of them are succesfull.
In short-term period robots much more effective dealers than humans because the speed of its reaction. IBM conducted test:Computer giant IBM pitted robotic trading agents, known as "bots", against humans in trading commodities such as pork bellies and gold.The bots made 7% more cash than the humans, according to a report in New Scientist magazine.
But people are still stronger in longterms forecasts. For example such stars like Warren Buffett and George Soros. So AI still can cope with analysis only market trends, but can't connect news and their consequences on market. But maybe in future . . .
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