We have created two new Stock Rover Momentum screeners. They are designed to find stocks that are performing well relative to the S&P 500 over the last month and year, and are operating in industries that are also performing well relative to the S&P 500, under the theory that you can row faster going with the current than going against it.
The first screener, named Stock, Industry and Sector Momentum finds US stocks that are outperforming the S&P 500 over the last month and year, operating in industries and sectors that are also outperforming the S&P 500 over the last month and year. An additional criteria is the industry must be outperforming its sector in the 1 month and 1 year periods.
The screener is set to look for US companies with a market cap of at least 50 million dollars, but you can adjust these filters to change the stock universe, for example to include Canadian stocks. You can also change or remove the market cap limit.
Below is a screenshot of the screener criteria from the Stock Rover Library.
The second screener, named Stock, Industry and Sector Momentum – Less Restrictive is the same as the first screener, except it drops the criteria that the industry must be outperforming its sector. This results is more stocks passing the screener and from more diverse industries.
Both screeners rank their output based on the passing stock’s monthly and yearly performance vs. the S&P 500.
Along with the new screeners, there is companion table view, named Industry and Sector Returns that displays the results of the screener using the metrics from the screener. The view shows stock’s performance relative to the S&P 500 over the last month, last year and last 5 years. The View also includes the stock’s industry and sector performance relative to the S&P 500 and the stock’s industry performance relative to the stock’s sector performance.
A screenshot of the new Industry and Sector Returns view is shown in the screenshot below.
Each of the two screeners (or both) can be added to your account from the Stock Rover Library as shown in the screenshot below.
Note that both screeners require a Premium Plus subscription. They can also be download and tested by users currently running the Premium Plus Trial.
The Industry and Sector Returns View can be downloaded here. Or you can download the text file directly here.
After downloading the zip file, the zip file must then be unzipped to get at the View stored inside the zip archive. This is generally done by double clicking or right clicking on the zip file. The view file is named RoverView-IndustryandSectorReturns.txt. This file should then be imported into your account via the View Import operation.
We hope you download these new screeners and the associated view and take them out for a spin. They are sure to yield some very interesting companies. Companies that may prove, with additional research, to be worthy of your investment consideration.
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The name for Industry and Sector Returns seems changed to Returns vs S&P500, is that correct?
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I love Stockrover’s library feature and how easily its content can be exported and shared, not to mention so many aspects of Stockrover.com’s simple, flexible and clear user interface. Well done! May I humbly make a couple of suggestions?
In regard to these new useful and powerful momentum screens, might Stockroverians find it useful if an explanation were added via this post and/or within the screener descriptions, regarding how it (mathematically) achieves its general objectives via its specific screening criteria? This is less obvious than how other library screeners achieve their objectives, and more users would likely apply these terrific screeners if more detail was provided.
And as a general comment regarding library screeners, would users find it useful if posts such as the above announcing and explaining a new screener (and/or the screener description, field size permitting) suggested some sell criteria that are in line with the underlying investment philosophy/strategy of how a screener identifies stocks? Screening a portfolio or scoring a watchlist comprising a portfolio’s stocks against a screener achieves this in part (and including “sell” screeners or “Sell Criterion” within the screener interface could be challenging, clutter up the user interface and potentially lead to costly related mistakes), but one paragraph adding sell guidelines in posts such as the above would probably prove useful to some Stockroverites.
Thank you for the feedback. I will endeavor to update the screener descriptions in the Library to explain the math and logic behind screeners. To find sell candidates, creating copies of the screeners and reversing the signs in each of the equations would be a good place to start.
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