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,...

Stock Market Data: The Ultimate Guide [Part 2]

Continuing with our guide to stock market data, in this post we will detail the various databases available for analyst ratings and targets, options, futures and indexes, and alternative data. If you haven't yet read Part One then you may do so by visiting here or else continue reading for Part Two. Analyst Ratings and Targets Understanding what other investors and analysts expect from a stock is a key component of forecasting that stock accurately. In certain cases, rosy analyst ratings may reflect a healthy underlying company; in other cases, they may reflect a consensus that is ripe to be...

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...

Stock Market Data: The Ultimate Guide [Part 1]

Introduction to Stock Market Data The volume and variety of data used by stock market investors have exploded in recent years. Gone are the days when stock prices and company fundamentals sufficed to build a robust investment strategy. Today, analysts and traders use a far wider set of data to inform their investment decisions: market structure data, sentiment and psychology data, consensus and survey data and much more. Quandl has the richest collection of publicly available equity data on the internet. This is Quandl’s guide to stock market data: What’s available, where to find it and how to use it....

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...

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