Click here to Login








Earnings Surprise Strategy

by QuantShare, 4470 days ago
Share |






This strategy is based on earnings surprise data and it consists of the following trading rules:

Buy Rules:
- Today's Earnings surprise is higher than 5%, which means the actual EPS is 5% higher than EPS consensus (expected earnings per share by analysts).
- Previous earnings-per-share is positive (previous quarter EPS)
- The 5-Bar return following the previous EPS release is positive

Sell Rules:
- Exit any position after five trading days

The idea behind this trading system is that if a stock had a positive return following a positive surprise then it is likely to have a better return if the earnings surprise increases (compared to the previous quarter).
The strategy can be backtested using U.S. or international stocks data. Many parameters can be optimized (Earnings surprise threshold, Return period.) and many other trading rules can be added to improve further the profitability of this trading system.

Earnings surprise history data can be downloaded using the following item: Historical Earnings Surprise, EPS and Consensus Data

Just select a start and end date then click on "Start Downloading" to populate the "earnings_cal" custom database with the earnings per share (EPS), consensus EPS and surprise data for U.S. and international stocks.


Share This ->
Share |


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




Type: Trading System

Object ID: 1191


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

Download historical EOD data for the stock, futures, ETF and Forex markets

How to build and backtest a robust stock trading system

Backtesting chart patterns using the auto support and resistance indicator

German Stock Exchanges: 5 free ways to download historical EOD/Intraday data

How to use QuantShare screener to trade penny stocks

Long Term Trading with Technical Analysis

Backtesting trading strategies using intraday data

Fundamental Stock Analysis: Rank stocks based on a valuation ratio

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.