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Re:PyThalesians: Python Open Source Financial Library by captaindiego on Sunday May 29, 2016 @08:40AM (#11796162)
Does anyone know more information or have experience with the bloomberg data source? How expensive is this sort of thing?
Re:PyThalesians: Python Open Source Financial Library by nstj on Sunday May 29, 2016 @09:00AM (#11796204)
Luckily this project also has the option to pull in data from free sources like FRED[0] and Yahoo! Finance[1] making it quite useable without a Bloomberg subscription

[0]: https://research.stlouisfed.org/fred2/ [1]: https://finance.yahoo.com

Re:PyThalesians: Python Open Source Financial Library by amykyta on Sunday May 29, 2016 @08:48AM (#11796179)
Very. The standard terminal product they offer is around 2K per month. You can buy just the data (as many third parties do) but that'll also cost a pretty penny. It's a great data source, but definitely not cheap.
Re:PyThalesians: Python Open Source Financial Library by saeedamen on Sunday May 29, 2016 @11:23AM (#11796651)
You can also use Quandl data too (most series are free). I subscribe to Bloomberg and it's great data source, but obviously it's not that cheap. (I'm the developer of PyThalesians - if you'd like me to add other data sources let me know!)
Re:PyThalesians: Python Open Source Financial Library by dmillar on Sunday May 29, 2016 @01:13PM (#11797135)
Xbrl integration for SEC filings
Re:PyThalesians: Python Open Source Financial Library by nstj on Sunday May 29, 2016 @11:41AM (#11796715)
Thanks for the tip on Quandl, and for the great library!
Re:PyThalesians: Python Open Source Financial Library by Blackthorn on Sunday May 29, 2016 @12:09PM (#11796843)
It's not even a complete data source, which for the price is an embarrassment. I tested it with a nearby college that had a full terminal, and they are missing data from expired options. For $2k/month I'd expect it to at least be complete!
Re:PyThalesians: Python Open Source Financial Library by losty on Sunday May 29, 2016 @05:18PM (#11798271)
Historical option data is "premium" data unfortunately.