Data Trends for Investment Professionals

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How Email Receipts Predicted GoPro’s Q3 Earnings

The street got a big surprise last week when GoPro reported earnings. Shares dropped sharply in Friday morning trading after the company reported a loss of 60 cents per share on $240.56 million in revenue. Analyst expectations were much milder at a loss of 36 cents per share on $314.06 million in revenue. GoPro cited production issues as the cause for both the third quarter miss and the guidance for Q4. Prior to the earnings announcement, most pundits were bullish – or at least neutral –  on GoPro: see MarketWatch coverage, AmigoBulls, and this note from Raymond James. This is...

Free DataCamp Tutorial for Quandl and R

This is a guest post from DataCamp. At DataCamp we build tools to learn data science interactively. We have an onlineR tutorial to learn R Programming and a Python For Data Science tutorial to learn Python. Some time ago we collaborated with Quandl to developHow to Work with Quandl in R, a free interactive tutorial that introduces you to the main functionality of the Quandl R package. Evidently, we hit the mark with this one because to date, this course has been taken by more than 30,000 data science enthusiasts. In the past few weeks, we’ve been updating many of...

Are Drones A Legitimate Source of Alpha?

With predictions claiming that the global UAV drones market could reach up to USD 127 billion by 2020, it is clear that the drones industry is tapping into the world’s demand for more data—at faster speeds and greater precision. While many still associate drone technology with the military market, which indeed accounted for almost three-quarters of the US market total in 2015, demand for commercial drone technology has been slowly catching up in the last decade, with a predicted market size of USD 1.05 billion by 2020 and expected growth at a CAGR of 57%.1 Established and Emerging Markets The...

Email Receipts used to Forecast Amazon and Uber Revenues

This post is the first in a series called “Alternative Data In Action” (ADIA). Each article in this series will examine a different alternative dataset. We will discuss how the data is sourced, structured and, most importantly, some simple methods for leveraging the data for investment insight. This ADIA looks at electronic receipts. Data scientists Ray McTaggart and Lilian Lau contributed to this post.  The Dataset: Electronic Receipts in Email Where and when people spend their money is invaluable insight for everything from measuring the state of the economy as a whole to studying the success of a single product produced by a single...

Finally: A Comprehensive, Global Foreign Exchange (FX) Volume Database

There is a paradigm change towards increased transparency in the currency market.  CLS has just published the first true global foreign exchange (FX) volume database.  Commercially available for the first time via Quandl, this database is the most accurate, most comprehensive and timeliest gauge of currency trading volume ever published.  CLS’ new FX volume data has been described by one of our customers as “the missing link”.  This post explains why. The Challenge of FX Trading FX is one of the hardest markets from which to profit.  Currencies are incredibly volatile and masquerade as normally distributed only to pop violently in...

The (Weak) Link Between Alternative Data and Inside Information

The alternative data business is an art and a science—in that order. The science—in the form of statistics—kicks in once our quant team gets its hands on a new dataset. There is of course plenty of creativity and innovation in this process: instincts honed from years as quants on Wall Street play a big role in guiding the research process. But the work is grounded in scientific discipline. Before any data mining can begin at all, the mine itself has to be found. Finding data that can potentially yield alpha is very much an art. It involves a continuous conversation...

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