Quandl data plateform : HUGE !

[Djobydjoba]

Hi Mark,

Quandl (http://www.quandl.com) has 9 Million Datasets available. This database is really HUGE, and is free !!!

Could you consider an implementation in Fund Manager ? This would be awesome !

Thanks.


"Quandl doesn’t provide real-time or intraday price data, but has a HUGE amount of statistical and economic data from all over the world.

Few examples:
- Short Interest & Bullish/Bearish Sentiment Index data for stocks.
- Fundamental Fields from SEC and Damodaran
- Commitment of Traders (COT) value for futures contracts (provided by CFTC)
- International Stocks
- Thousands of Economics & Social Data fields from all over the world!"

[Mark]

Hi Djobydjoba,

Interesting, thanks for the idea, we will consider this.

[Djobydjoba]

Hi Mark,

I'm just curious about the prices downloading from Bloomberg quote servers. Is Fund Manager use a free and public API to download the quotes, or is there a licence ? I've done some researches, I haven't really fund something free publicly available.

Bloomberg is the only usable source for mutual fund prices (at lease for European funds). I really hope this will be keep functional in the future. In fact, I fear of a change in the Bloomberg policy that would close the functionality one day.

Thanks.

[Mark]

Hi Djobydjoba,

Fund Manager is not using anything special. It is acting just like a web browser would, in going to their site, and looking up the publicly available information.

[Djobydjoba]

Hi Mark,

You mean, the historical prices are downloaded directly from the web pages ?

For example, I can't see any historical prices in this page :
http://www.bloomberg.com/quote/CARMPAE:FP

except in the graph itself...

[Mark]

Hi Djobydjoba,

Yes, historical pricing is downloaded from their web server.

[weitau]

Quandl is the only source of reliable index futures data that I know of. Right now, I download their data into a text file, then import into FM. I would love to see this automated.

[Mark]

Hi weitau,

Good to know, thanks for the feedback.