Predicting Stock Performance with Natural Language Deep Learning

Re:Predicting Stock Performance with Natural Language Deep L... by dx034 on Thursday May 31, 2018 @07:25AM (#17195503)

If you use financial performance to measure the success of a model, methodology is critical. It's easy to have models that generate outperformance on paper, in reality it turns out that nearly all of those had some flaw in them.

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Re:Predicting Stock Performance with Natural Language Deep L... by nonbel on Thursday May 31, 2018 @08:43AM (#17195843)

>"If you use financial performance to measure the success of a model, methodology is critical."

When wouldn't it be? And why does this sound exactly like the other post I just read?

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Re:Predicting Stock Performance with Natural Language Deep L... by dx034 on Tuesday June 05, 2018 @03:48AM (#17235686)

If you compare to other results, small problems with timing usually don't impact results as severely. You don't get completely different results if you forget to move one time series by just a few hours.

As for the second part, I don't know. Probably because we had the same thought? Not sure which post you refer to.

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