They don’t have real-time or delayed stock price data.They offer limited amounts of help when constructing analyses or discovering information.Quandl can be used in many programs (Excel, Python, Ruby, MATLAB…). All datasets on Quandl are available through the same API, irrespective of who originally published the data or in what format.All datasets are available for instantaneous download in any preferred format.Quandl offers an enormous collection of data (over 20 million data sets).All you need to do is to go to their website ( ) and register for an account.Īfter that you’ll get your API key that allows you to take your Quandl game to various programs like Excel, Python, MATLAB, R, Ruby… Pros of Quandl Quandl is really easy to use and is beginner-friendly. Quandl users only pay to access Quandl’s premium data products. The Quandl API is free to use and grants access to all free datasets. Quandl offers both free and premium products. Quandl’s specialization is in the field of data that gets collected over time and is categorized as economic, social and financial data – this includes things like: stock prices, crime rates, unemployment rates, various populations, etc. According to Quandl, their user amount is over 400,000 people, which ranges from the world’s top hedge funds to investment banks and various asset managers. Quandl is a platform that provides its users with economic, financial and alternative datasets. In this article, we’ll cover them one-by-one so you can pick the one that best fits your needs. In the picture below, I checked for the Beta values of Apple and Microsoft: What are the alternatives to Google Finance API?Īs we have seen, the usage and functions of the Google Finance API aren’t top-notch and there are many better alternatives. To measure the Beta for a stock, you’ll use the following code: =GOOGLEFINANCE(stock symbol, “beta”) In the picture below, I checked for the EPS values of Tesla and Audi: How to retrieve Market Beta using Google Finance API?īeta measures the sensitivity of a stock price to that of the overall stock market. To retrieve the EPS data in Google Finance API, you’ll use the following code: =GOOGLEFINANCE(stock symbol, “eps”) How to retrieve Earnings-per-Share data using Google Finance API?Įarnings-per-share (EPS) is measured by dividing the total sum of profit generated in a given period, by the number of shares that the company has listed on the stock market. In the picture below, I checked for the P/E ratios of Facebook and Amazon: You’ll use the following formula to obtain the P/E ratio for a certain stock: =GOOGLEFINANCE(stock symbol, “pe”) Now, let’s see how to download P/E ratios in GSheets: The Price-to-Earnings ratio (P/E ratio) is calculated by dividing the company’s stock price by its earnings. How to retrieve Price-to-Earnings ratio using Google Finance API? » Learn how to retrieve price and non-price data from Quandl. To view all of its functionalities, feel free to check out the following link: When filled with our historical data request it looks like this: The overall structure of the required code looks like this: We can pull data for certain stocks with specified start and end days. How to collect historical data using Google Finance API? The good news is that we can use Google Finance API directly via Google Sheets using simple “Excel formulas”. Thus, we can’t retrieve Google Finance data via code. The API is now integrated with Google Sheets. Google Finance API was a tool which allowed us to extract data about stocks and financial assets from Google Finance.
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