Click here to Login








S&P Earnings

by Tom Huggens, 5329 days ago
Share |






The S&P 500 Earnings is calculated by taking the 12-month earnings per share for all stocks that constitute the S&P 500. The S&P 500 is one of the most popular indexes; it tracks the performance of 500 American large-cap companies.

An increase in the S&P 500 earnings means that the biggest U.S. stocks are making more profits and this in turn is bullish for the market. A decrease in the S&P 500 earnings is bearish and it means that profits of the 500 more capitalized companies in the U.S. are decreasing.

Historical data of the S&P 500 earnings per share or EPS spans from 1881 to present. As of today, the current EPS value is 51.49; it was reported in December 2009.
Data is associated with the "^S&P_500_Earnings" ticker symbol.

The S&P 500 is owned by Standard & Poor's; the company releases also several other indices including the S&P MidCap 400, S&P SmallCap 600, S&P Global BMI...

Other S&P 500 related time series:
The S&P 500 - Price to earnings ratio is another index derived from the S&P 500. It calculates the average P/E ratio (Price to earnings ratio). As with the S&P 500 earnings index, the S&P P/E index is based on the trailing 12-month earnings.
CBOE S&P 500 BuyWrite Index was developed by the Standard & Poor's and the Chicago Board Options Exchange, the index tracks the return of a buy-write trading system. It buys the S&P 500 index and writes near-term S&P 500 index call option.
Average Correlation Index - S&P 500 is a composite index I have created. It calculates the average correlation between S&P 500 stocks and the index itself.
US Indices object downloads historical EOD data for several indices, including the S&P 500.


Share This ->
Share |


You have to log in to bookmark this object
What is this?




Type: Download Script

Object ID: 448


Country:
United States

Market: Stock Market

Style:
Fundamental Analysis

Reviews
You must log in first

Join now
and get instant access for free to the trading software, the Sharing server and the Social network website.
Click here


Related objects

Empty

Number of reviews
Click to add a review
Average rate
Click to rate this item
Number of times this object was downloaded
Number of rates the current object received
Report an object
if you can't run it for example or if it contains errors
Click to report this object

Technical Analysis


Fundamental Analysis



Random Blog Posts

Money Management: Optimize a trading system

Optimization of a trading system

How to create custom databases in your trading software

Technical Analysis Using Multiple Timeframes - Second Part

New features in QuantShare - Trading Software

Technical Analysis Using Multiple Timeframes

Short Index - Part 2

Short Index - Part 1

Show All

Number of reviews
Click to add a review
Average rate
Click to rate this item
Number of times this object was downloaded
Number of rates the current object received
Report an object
if you can't run it for example or if it contains errors
Click to report this object






QuantShare
Product
QuantShare
Features
Create an account
Affiliate Program
Support
Contact Us
Trading Forum
How-to Lessons
Manual
Company
About Us
Privacy
Terms of Use

Copyright © 2024 QuantShare.com
Social Media
Follow us on Facebook
Twitter Follow us on Twitter
Google+
Follow us on Google+
RSS Trading Items



Trading financial instruments, including foreign exchange on margin, carries a high level of risk and is not suitable for all investors. The high degree of leverage can work against you as well as for you. Before deciding to invest in financial instruments or foreign exchange you should carefully consider your investment objectives, level of experience, and risk appetite. The possibility exists that you could sustain a loss of some or all of your initial investment and therefore you should not invest money that you cannot afford to lose. You should be aware of all the risks associated with trading and seek advice from an independent financial advisor if you have any doubts.