s-and-p-500-companies | P 500 together with associated financials
kandi X-RAY | s-and-p-500-companies Summary
kandi X-RAY | s-and-p-500-companies Summary
List of companies in the S&P 500 (Standard and Poor's 500). The S&P 500 is a free-float, capitalization-weighted index of the top 500 publicly listed stocks in the US (top 500 by market cap). The dataset includes a list of all the stocks contained therein.
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- Main entry point
- Extract the information from Wikipedia table
- Retrieve data from source
s-and-p-500-companies Key Features
s-and-p-500-companies Examples and Code Snippets
Community Discussions
Trending Discussions on s-and-p-500-companies
QUESTION
I can download small number of companies stock market data by this code.
...ANSWER
Answered 2017-Aug-27 at 17:30Essentially what is happening is your function getSymbols
is breaking once it hits the first error at 'ACN'. To skip over bad connections and just read in the good connections use the following code. Add in from
parameter to adjust time.
QUESTION
i'm quite new here and stuck with quite peculiar problem here (as i think for myself). I have a column with all S&P500 tickers (MMM, ABT, ABBV, ACN, ATVI, AYI, ADBE....). Then, i perform some code, requesting xts for every ticker. I'm not good at creating loops, so i did in such a way (first column consists of tickers):
...ANSWER
Answered 2017-Jun-01 at 03:56Here is a code that downloads daily CLOSE prices for the selected tickers (credit to @Quant Guy). I couldn't open your file and can't find a free reliable source (apart from wikipedia to find all the S&P500 index components), so I manually entered the tickers:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install s-and-p-500-companies
You can use s-and-p-500-companies like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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