The guy who sold his startup for $25M. Good comments about due diligence and whatnots: https://news.ycombinator.com/item?id=7858317
The Dirichlet Process Mixture Models - http://blog.datumbox.com/overview-of-cluster-analysis-and-dirichlet-process-mixture-models/
I was just about to close these tabs:
https://github.com/scoofy/wxStocks/blob/master/wxStocks.py is done by a guy on a few forums who likes to mention this code. I'd like to try to use it. It is a python app that scrapes yahoo and morningstar to get data about companies. Might be a good stock screener?
This http://dpinte.wordpress.com/2012/03/23/pyql/ is something else I need to use. Quantlib is supposedly awesome, pyql seems like the bridge between that and pandas. I'd like to use it someday.
I'd like to read this book when it comes out http://shop.oreilly.com/product/0636920032441.do Python for Finance - Analyze Big Financial Data
Relevant HN thread https://news.ycombinator.com/item?id=7680223
This looks like a great pandas resource https://github.com/jvns/pandas-cookbook
And this is a good way to brush up on my vim knowledge http://yannesposito.com/Scratch/en/blog/Learn-Vim-Progressively/
And did I mention the track to learn options? yep, looks like I did on 20140421
There's a lot to keep in mind that is illustrated by "The Strategy Cycle" chart here http://alephblog.com/2014/04/26/why-it-is-hard-to-win-in-investing/. I think it is relevant to more than just investment.
and this is a fair way to do equity? https://medium.com/this-time-is-different/12ddebcc63ef