Data Trends for Investment Professionals

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Filter by Author: Abraham Thomas

The Cost of Free Data: Why Use Premium Stock Prices?

Quandl has always prided itself on making financial and economic data accessible to all investors. This is why a number of our datasets are free resources, like the Federal Reserve Economic Data (FRED) and US Energy Information Administration Data (EIA). While we’re happy to support these products for the foreseeable future, we nonetheless advocate for the use of premium sources for professional investors. Understandably, one of the most common questions we get is "Why should users pay for premium stock price data, when stock quotes are available for free from many different sources?" Free sources may be appropriate for casual...

Bollinger Band Breakout Augmented with Volume

This alternative data in action post looks at the power of currency volume data. 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. In this post, we present the results of augmenting a well-known FX trading strategy - Bollinger Band breakout - with data from our CLS Daily FX Volume database. This database, along with the CLS Hourly Volume database, offers access to the broadest set of executed trade data in...

Data Monetization: 10 Pitfalls to Avoid

Here at Quandl we get a steady stream of inbound inquiries from companies keen to monetize their data assets to our audience of investment professionals. These data suppliers are not just peddling stock prices or futures or FX data. They are startups and companies born in an era of data ubiquity. They may have satellite data, smartphone or sensor data, logistics data, or business operations data. This is now known as “alternative data” in industry parlance. One belief unites them all: that their data holds value for capital markets. Unfortunately, this is not always the case. Because in life, nothing is ever easy....

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...

Upstream Operational Risk Increases with Anadarko’s $2B Purchase

The Quandl data science team now publishes market insights based on analysis performed using Quandl alternative datasets. For information about our alternative datasets, or to request sample data, please see the contact information at the bottom of this post. On Monday, September 12 2016, Anadarko (NYSE:APC) announced it has entered into a definitive agreement to acquire the deepwater Gulf of Mexico assets of Freeport McMoRan Oil & Gas for $2.0 billion. This transaction, set to close before year's end, doubles Anadarko's ownership in the Lucius development to approximately 49 percent. Quandl's Anadarko Production Tracker empowers investors to see real time production performance...

An Interview with Vishal Goklani, Founder & CEO of METRICLE

Sentiment data and analysis has long been part of the toolkit of the successful investor. If you know what other people think about a stock, you can profit from their positioning. In the past sentiment had to be gleaned piecemeal from newspaper reports, anecdotes and personal observation. But in recent years, the internet has unleashed a flood of new sentiment sources, from real-time news websites to social media posts to self-published blogs and reviews. The first wave of internet sentiment analysis companies achieved success capturing this data and selling it to financial investors. Predictably, the market has been quick to assimilate...

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