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It's an interesting concept, thanks for the response.

Speaking of parsing, I was made aware of http://www.tagnifi.com/ I think elsewhere in this thread (I have no affiliation with them whatsoever). They appear to parse XBRL - probably in much a similar way as you do (although, I think they offer just raw data rather than the screening tools you do, so slightly different purpose/target). Just thought I'd share in case you found in interesting/useful.



I did not know about tagnifi. You are right they just offer the raw data while we go one step further by creating the financial charts from the raw data but I would be keeping an eye on them from now on.

As you pointed in your comment that they don't appear to parse pre xbrl data while we do.

In your earlier comment you said most startups in fin-tech space are not passionate/interested about actual investing, I completely agree. I have seen many startups claim that their users by using their service will get above average returns.

So if their service provides above average returns why are they even selling the service, just trade/invest your own money and you will be rich in no time.

The reason we started Craytheon because we wanted a service which would help us make better investment decisions in the stock market. Which is why the first US company we added to our database was Enron.

Check out this link, I think you will like it

http://craytheon.info/articles/enron_fundamental_analysis_ac...




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