Question for Fintwit "quants": Can you come up with an unsupervised algo, a Bayesian scheme, or a recommendation algo whose output would be a list of targetable stocks by WSB based on WSB posts (Reddit's API). In a Bayesian setting, for instance, a prior could be "short float".
Why would you make it this complicated when you could just scrape the top ~50 stocks mentioned by name and screen based on short interest and medium-term momentum?
-
-
And by “scrape” I mean “get a junior/intern to read the first two pages of wsb every day and update a csv file.”
Thanks. Twitter will use this to make your timeline better. UndoUndo
-
-
-
That’s a viable option, although backward looking. By the time a stock is listed on WSB (numerous times), a good portion of its positive momentum/drift would have already been "realized". I am trying to see if we can systematically predict which stock will appear on WSB.
-
nope nope nope.... 1 you want to identify the stocks before they make it to the top and you also want to identify the 3rd and 4th order correlated positions which may never be mentioned on r/wsb at all.
- Show replies
New conversation -
Loading seems to be taking a while.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.