Data Trends for Investment Professionals

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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...

What gives a trader an edge? An interview with trader, analyst, and portfolio manager Adam Grimes

Recently, Adam Grimes and Quandl co-founder Abraham Thomas sat down to talk trader-to-trader about how the market has changed over the past two decades, from Adam’s days at the NYMEX and the CME to his current role as Chief Investment Officer at Waverly Advisors. Adam Grimes has two decades of experience as a trader, analyst, and portfolio manager. Though he refers to himself as a critic of traditional technical analysis, he has literally written the book on it (The Art and Science of Technical Analysis, Wiley, 2012). AT: Let’s begin at the beginning. How did you get started trading? AG:...

WooTrader proves what startups can accomplish when they get the data they need

We recently spoke to Atanas Stoyanov, CEO of WooTrader, about his journey from a software programmer to FinTech founder. In 2007, Stoyanov sold his previous company, an Inc 500 firm that developed software optimization tools. He then turned his considerable programming talent to helping investors keep up with rapidly changing markets. He launched WooTrader, with the vision of becoming the only website you’ll need for asset management. With the recent release of a Wall Street-ready API, WooTrader’s client base is now expanding to hedge funds and investment banks. You’ve built a number of successful companies, including a software testing company. How...

Meet the winners of the 2016 Big Data Big Impact competition!

Quandl recently sponsored the annual Big Data Big Impact competition, and we’re proud to share the winning team’s project today. Undergraduates from the University of British Columbia -- Benjamin Lim, Lilian Lau, Prapon Wongsangaroonsri and Taeyoon Lee -- used Quandl’s World Bank data to examine the relationship between exports and GDP in developing countries. The annual competition encourages students to evaluate one of the United Nations Sustainable Development Goals. The UBC team identified exports as a major channel for growth in Least Developed Countries (LDC). In their preliminary analysis, they created a heat map for GDP growth. “Quandl’s API simplified our...

A Quant’s Approach to Building Trading Strategies: Part Three

This is the third part of our interview with a senior quantitative portfolio manager at a large hedge fund. In the first part, she discussed the theoretical phase of creating a quantitative trading strategy. In the second part, she described the transition into “production.” This interview received so many excellent questions that we've dedicated an entire post to the answers. You can read the first part of the interview here and the second part of the interview here. Readers' questions have been lightly edited for clarity. 1. How do you monitor and manage your model once live? What additional checks and procedures...

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