Data Trends for Investment Professionals

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Announcing Quandl’s Alternative Data Conference 2018

Quandl's Alternative Data Conference Returns to New York City We’re pleased to announce the second annual Quandl Alternative Data Conference on January 18, 2018 in New York City. This premier data event for investment professionals will help you keep your finger on the pulse of the rapidly evolving alternative data ecosystem. In addition to an action-packed, one-day program, ADC 18 will do more than just introduce you to new datasets; it will help you understand and address the challenges associated with meaningful adoption of alternative data. Head over to our conference website for details or review our preliminary speaker list below....

BOOK REVIEW: Financial Analytics with R

There’s a new source in town for those who want to learn R and it’s a good, old-fashioned book called Financial Analytics with R: Building a Laptop Laboratory for Data Science.  Written by Mark Bennett and Dirk Hugen, it hits the shelves in the U.K. in September and the U.S. in November. Though designed as a graduate-level textbook, it is a highly appropriate read for practitioners in financial analysis who are new to R, or who want to improve their understanding and use of R. Be warned, however, that a sufficient background in university-level math, statistics, and computer science is...

A Taxonomy For Alternative Data

We're witnessing a data revolution. You all know by now that we've produced more data in the last 2 years than we have throughout all of humanity. And the pace is only increasing. It begs the question: how do you extract actionable trading signals from this brave new world of noise? It starts with understanding the landscape. Here is Quandl's take on the taxonomy of alternative data for finance. ALTERNATIVE DATA CONFERENCE Jan. 18, 2018 | NYC The premier data event for professional investors. FIND OUT MORE

Satellite Companies Moving Markets

Stop me if you’ve heard this one before: high resolution images taken from space now allow us to count cars in retailers’ parking lots, and therefore estimate quarterly earnings ahead of the street. Or this: we can use trigonometry to measure the shadows cast by floating oil tank lids and then gauge the world’s oil supply. Or this: we can monitor the vehicles coming and going from industrial facilities in China, and create a nascent China manufacturing index. Dozens of other possibilities exist, bound only by our ability to imagine what we can infer about markets based on high quality...

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