No it isn't. If I read an article about the Volkswagen emissions scandal, what table do I look in to figure out how much consumers will care, and how aggressive various governments will be with their punishment? When Disney buys the rights to Star Wars, where should I look to see if it's worth what they paid for it? Should I rely on data from 30 year old movies, or look at merchandise sales or something? If I start seeing a lot of articles about climate change and the dangers of fossil fuels, should I sell my stock in Exxon?
Not that humans are particularly good at this stuff, but I don't think computers will be as good or better for a long time.
Even if a computer can't figure out the stats you mention, maybe it doesn't matter? Maybe just reacting fast enough to what people in the market are doing is good enough? Maybe simple sentiment analysis on articles on Disney around the web is a good enough proxy for share price increase.
Not yet.
Other areas may be more complex, but complexity isn't as big a barrier as it may seem.
Also, those areas are probably not as complex as people think they are. I'm reminded of the AI that started making breakthroughs in oncology by looking at the cells around a tumour, despite the scientific consensus that there was nothing to be learned from the cells around a tumor.