Data Trends for Investment Professionals

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API for Stock Data

Quandl offers a simple API for stock market data downloads. Our daily data feeds deliver end-of-day prices, historical stock fundamental data, harmonized fundamentals, financial ratios, indexes, options and volatility, earnings estimates, analyst ratings, investor sentiment and more. This post describes how our stock market data is organized, and explains how to access it. Data Organization: Time-series vs. Tables Quandl's data products come in many forms and contain various objects, including time-series and tables. Through our APIs and various tools (R, Python, Excel, etc.), users can access/call the premium data to which they have subscribed. (Our free data can be accessed...

Wall Street Wants Your Data Webinar [VIDEO]

We recently hosted a webinar, “Wall Street Wants Your Data: Steps to Creating a New Revenue Stream,” presented by Quandl’s Chief Data Officer, Abraham Thomas. During the presentation, Abraham focused his session on three parts: Part 1 — Wall Street’s hunger for data and how those not typically viewed as data companies can benefit from this phenomenon Part 2 — Best practices for building, selling and delivering a data product that generates additional revenue for your business Part 3 — A Q&A session where Abraham answered attendee’s questions If you couldn’t make the webinar or would simply like to revisit the presentation again,...

API for Zacks Earnings Data

US Earnings Data Quandl is the largest, most comprehensive, most accurate source of Zacks earnings data on the internet. Data coverage includes consensus earnings estimates, actual earnings, earnings estimates trends and earnings surprises for thousands of North American companies. Investors assess a company's stock performance based on its estimated future earnings. A company's earnings forecasts are based on analysts' expectation of its future growth and profitability. Earnings estimates are usually reported as a "consensus estimate", which is the average of all estimates made by analysts who follow the company's finances. The most important factor in influencing a stock's value in...

Quandl’s Guide to Monetizing Alternative Data

Many businesses from start-ups to multinational corporations have begun augmenting their revenue streams — sometimes exponentially — with their exhaust data. Professional investors who fail to beat their benchmarks quickly go extinct. They now need unique and untapped sources of data to remain competitive. While most think of selling data to brands, media companies and marketers, one critical potential audience for exhaust data is Wall Street. Investors will pay for exhaust or alternative data that tells them something unique about the economy in real time. If you are the owner of such a data asset and you’re contemplating its monetization,...

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...

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