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It doesn't have to be NLP gone wrong. It could be a bad algorithm based on web traffic, picking up accidental clicks from Anne Hathaway fans (or some similar shared metric).

It's also possible that this is a natural effect of the market -- that people seeing Anne Hathaway headlines are subconciously reminded to do something about their stock holdings. In which case, bad NLP would actually work better than good NLP. :)




Most algo trading is going to use Bloomberg or Reuters data, since they are very "clean" datasources that tend to be more focused on finance sectors, and not a ton of hollywood gossip. Generally they are tagged with the actual stocks in the articles, so you would have to be doing it on purpose.


Sorry, I mean an algorithm based, for example, on the number of clicks on Berkshire Hathaway articles on a financial site being influenced by Anne H. fans clicking on the wrong search result.


I get your point, but doesn't that seem a tad contrived?


Most, yes, but since everyone is doing this, to stay ahead, you have to do something else if you want to do better than them. Hence mining the "regular" internet instead.


>It could be a bad algorithm

if it picks correlation enough to generate good profit it may be good enough for its purpose.

After all, how do we know how things are really connected, correlation and causality wise? ie. "The Sirens of Titan".




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