Rover Screener Improvements

In this blog post I am going to describe some new features and refinements we have added to the Stock Rover V7 screener. We have made it easier and more intuitive to create and update screeners in Stock Rover by designing a new create screener window (shown below).
Stocks or ETFs
You start by selecting whether to screen for stocks or ETFs.
For stocks you can select the Universe from which to screen. The choices are All Exchanges, Most US Listings (greater than 250M market cap), Major US Listings (greater than 1B market cap), or the S&P 500.
For ETFs, you get the set of criteria pertinent to ETFs. There are hundreds of ETF specific criteria, including things like ETF expense ratio, sector weightings, global allocations and Morningstar Ratings.
You can also decide to rank the passing stocks in the screener according to ranking weightings that you provide.
Screener Criteria
Once that is settled, you then add the actual criteria to rank. Criteria are often implemented as simple comparative filters such as:
Market Cap > 20 billion
Sales Quarter over Quarter Change > 1%
Below is a screenshot of screening for stocks with a dividend yield of greater than 1%.
Here you can see how many stocks pass the screener. This changes as you adjust the screener’s values. You can also get a preview of some the tickers that pass the screener.
Using Equations
Criteria can also be made more complex via equations. For example an equation that looks for companies that are reducing debt in each of the last two years would be:
(“Long Term Debt [Now]” <= "Long Term Debt [TTM1]") and ("Long Term Debt [TTM1]" < "Long Term Debt [TTM2]")
Note: TTM1 means means trailing twelve months one year ago. TTM2 means trailing twelve months two years ago.
This is what it looks like in the equation editor, along with with sample value window that you get by clicking the “Sample Values” button.
Please note that equation writing is a Premium Plus feature.
New Metric Browser
One of the big improvements in Screener creation occurs when you click ‘Add Criteria’ button. This brings up a new window (shown below) where you can select one or more metrics by navigating through the folders or by using the search box.
You set the criteria for a metric and then select the next metric. As soon as you select another metric, the value you added for the prior metric is automatically recorded. This process speeds data entry. Once all the metrics are specified, you can click the OK button to see all the you specified in a list in the main create screener window.
We encourage you to take Screener Creation out for a spin, we think you will like it.
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Nice addition ……!!!!!!
Outstanding product – very happy customer! Can’t wait to create more metrics to set up custom filters for stocks I screen. One quick suggestion, though – how about adding more granular data to institutional investors buying stocks on a quarterly basis? I know that’s a lot of data to cover but I’d be willing to pay an additional premium for that information – thanks!
Great article and implementation.
Can you do an article, or video, with your insight in using Notes, Comments, Tags and Alerts. I have used Comments more than Notes. It is a bit easier to use at the moment, but likely not as functional. ?My error. ? I need to learn to tie them together. Still, I do not want to find myself “swamped” by them. Also, on the Symbol; perhaps there could be a small N, C, T or A to indicate prior recorded info by the user?
Thank you for the feedback. It is definitely on the list for videos, but there a few we will do first, like more charting and then the Table and the Insight Panel.
Does SR allow a subscriber the opportunity to create his / her unique stock or ETF ‘universe’ and then screen – rank?
Yes, this is done by selecting from the desired population of stocks (all, most, major stocks, S&P 500 etc). You can also select which exchanges as well as other criteria – sectors, industries and any other factors. From there you can screen further and rank.
powerful tool
How current is the data that we are screening?
The data is real time.