Data Trends for Investment Professionals


Talking to Tradestreaming About Unbundling


Recently, our CEO Tammer Kamel spoke to Tradestreaming about how we’re unbundling both financial data and financial apps.

You can read the entire interview here. Below is an excerpt:

Looking at Product Hunt, it appears a lot of new apps are being built using your APIs. What’s happening here and what does this ecosystem look like years down the road?

Yes, this is an exciting development for us. Currently, there are over a hundred financial and analytical apps built on top of Quandl’s API, all created by the Quandl community.

You can get Quandl data into scientific and mathematical tools like Mathematica, Matlab, Maple, Octave, R, SAS and Stata. You can also access our data from general purpose languages like C/C++/C#, Java, Julia, Python and Ruby. There are integrations for trading platforms like AmiBroker, Money.Net, Quantopian, Tiingo and TradingView; and for analytic tools like Mode, Plotly and Statwing. Finally, there are dozens of business intelligence and financial apps with sophisticated, next generation analytics – like Ayasdi, Domo, Kensho and Premise – that use our data.

Our philosophy here is quite simple: “Let a thousand flowers bloom.” Instead of getting into analytics or visualization ourselves, we empower other businesses to build their own solutions. We’ve seen other data providers restrict users to the analytics already present in their terminals. This means that users can’t choose the tool they want to work in.

The app model, on the other hand, allows each analyst to select their own tools. Not only is it more economic, it’s also more powerful: it allows users to pick and choose the precise apps that are optimal for their needs, instead of a generic one-size-fits-all approach.

Image re-posted from Tradestreaming. Photo credit: Glyn Lowe Photoworks. via Visual hunt / CC BY

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