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.
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.
It's crazy isn't it? The worst mistake BBG made for me was the futures contract there, where the WTI 2nd and 3rd contract swapped places when open interest/volume hadn't shifted! it switched back 30 minutes later??? That was crazy to me because how many people rely on cl2/cl3 when making decisions??
I do but frankly I can't put a specific timeline on it quite yet. The pilot API program will start next week and I'll be starting with JSON objects. Once that moves forward I'll start exploring Excel add-ins.
Quandl.com has an excel add-in already and I may just start plugging in my data into them after I feel comfortable beta testing under the pilot program.
My addin works with quandl too, but avoids using any VBA or GUI. All the HTTP GETs are done on a background thread in C#, the result being your quandl downloads can be far more automated than with quandl's own addin.
Yep, I will be doing an API rollout soon. Pilot program to launch in the coming weeks.
In terms of fundamental data or certain data, I will not because I want Vince's business (Sharadar) to flourish as well. Maybe down the line Vince and I can figure out bulk pricing but he has a solid platform so I will not bulk redistribute his data unless we figure out a good compensation plan for him :)
His data is $50/month through for a single user license.
My other data; i.e. metrics (comparative and statistical), mutual fund data, dividend data, fund holding data, etc. I plan to release :)
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.