1) Prediction is not intelligence. Intelligence is goal-driven action, which makes use of conditional prediction (if I do X, Y is more likely).
2) stocks are a game where the vast majority of us are at an information disadvantage. It only takes a very weak efficient market to make it unbeatable by the layperson.
3) stock picks are useless for reason #2.
4) calling something low-status is low-status around here. You’re better off decomposing the reasons something might affect peer perceptions of the poster.
I personally expect that if something like that worked at all, it’d get incorporated into the standard algorithms and the effect will go away (per the mentioned EMH) within a few months of publication (and note that it’s a 2013 paper).
1) Prediction is not intelligence. Intelligence is goal-driven action, which makes use of conditional prediction (if I do X, Y is more likely).
2) stocks are a game where the vast majority of us are at an information disadvantage. It only takes a very weak efficient market to make it unbeatable by the layperson.
3) stock picks are useless for reason #2.
4) calling something low-status is low-status around here. You’re better off decomposing the reasons something might affect peer perceptions of the poster.
Just to contradict myself, things like http://cs229.stanford.edu/proj2013/TakeuchiLee-ApplyingDeepLearningToEnhanceMomentumTradingStrategiesInStocks.pdf are somewhat interesting in that they concretely show an application of data.
I personally expect that if something like that worked at all, it’d get incorporated into the standard algorithms and the effect will go away (per the mentioned EMH) within a few months of publication (and note that it’s a 2013 paper).
There is a great number of things that a layperson cannot do well. On LW the oft-expressed view is that the market is unbeatable by anyone.