| A good friend of mine, Vincent from Sharadar sources the data. It is not free for me- I'm a huge data integrity nut, a spillover from when I used to trade quantitatively. I run my own data cleaning algos and I've found Sharadar's data to be far cleaner than sources like bloomberg. A lot of people assume BBG's (bloomberg) data is impeccable, but I had an entire database of mistakes I found in Bloomberg that I had to correct. Any quant trader will tell you this. In the middle of the day, Bloomberg would swap the 2nd and 3rd continuous futures contract. It drove me nuts when it happened and was a motivation behind Tiingo. There is this false sense that financial data needs to be expensive. No - to me the public data is a commodity and that's the way the world of financial data is moving. Vince shares this idea with me and encourages me to be more open with my data. I will be offering an API pilot program in the coming week as I develop my own API for the data I source myself. Vince's company is: http://sharadar.com/ And is available via the Quandl API http://www.quandl.com Also, not only does Tiingo source its own dividend data, but it shows its work. if you go to https://www.tiingo.com/d/t and hover over the binoculars you will see the values highlighted. I do this to fight the idea of perceived value when it comes to financial data. Nobody else will give you this level of detail for dividend data. I started doing this because I found my existing dividend vendor data riddled with errors. That's how nutty I am about data. |
I regularly (at least once a week, sometimes multiple times per day) BBM'd the Bloomberg helpdesk with notifications that their data was wrong. This varied across many of our needs, but even simple stuff like money supply / macro stats was often just wrong. How had no one spotted this before? We ended up just using Datastream terminal for macro data.
Killer feature is Excel plugins. Do you have plans for this?
Edit: Just tried Quandl didn't know about this before. What a fantastic tool.