New Portfolios - January 2024

January 8, 2024 Printer Friendly Printer Friendly


We have created an updated set of portfolios that are based on some of Stock Rover’s most popular screeners. You can import any of the portfolios that interest you into your Stock Rover account via the Stock Rover Investors Library. This will allow you to see each of the stocks that passed the associated screener and track their performance.

The portfolios will also be used to start a test of the performance of the portfolios relative to each other as we go forward in time. This in turn will give us an idea of which screeners are performing well in the current market environment, as well as the ones that are performing poorly.

The Screeners

The methodology I used was to run 16 separate popular Stock Rover screeners on January 1st, 2024. Each screener generated its own unique list of passing tickers. The passing tickers were in turn used to generate 16 separate portfolios, each based on a specific screener.

Each portfolio had a differing number of stocks, based on the number of stocks that passed the screener. However, all portfolios were constructed so each passing stock was equally weighted within the portfolio, with each stock getting an allocation of $100,000 of virtual capital within the portfolio.

The 16 screeners that were tested were as follows:

  • Breakout Screener
  • Buffettology Inspired
  • Capital Efficiency
  • Dividend Growth
  • Fair Value
  • Growth at a Reasonable Price
  • Large Cap Growth with Momentum
  • Large Cap Value
  • Long Term Growth
  • Piotroski High F-Score
  • Safe Performers
  • Small Cap Growth
  • Strong Buys
  • Top Stocks

All of these screeners are provided by default when you first create your Stock Rover account. If you have been a Stock Rover member for a long time, the screeners in your account may not match this list, but all of the above screeners are available from the Library and any of them can be imported into your account.

By using the Stock Rover Screener Manager, the detailed descriptions for the screeners can be found in the description within the screener itself. And the screener criteria can be viewed from within the Screener Manager when the screener is selected.

An example with the Strong Buys screener selected is shown below.

Strong Buys Screener

The Portfolios

Each of the 16 portfolios created from the screeners is named in a consistent fashion in the format BT – screener name 2024, where screener name is the name of the associated screener. BT is an abbreviation for Back Test.

For example the portfolio associated with the Dividend Growth screener is named
BT – Dividend Growth 2024.

All of the portfolios created for the backtest exercise are available for import from the Stock Rover Library.

Portfolio Import from the Library

The following table lists the number of stocks that passed each of the 16 screeners when they were run.

Portfolio Number of Positions
BT – Breakout 2024 9
BT – Buffettology 2024 50
BT – CAN SLIM 2024 14
BT – Capital Efficiency 2024 29
BT – Dividend Growth 2024 44
BT – Fair Value 2024 21
BT – Growth at a Reasonable Price 2024 19
BT – Large Cap Growth with Momentum 2024 30
BT – Large Cap Value 2024 65
BT – Long Term Growth 2024 49
BT – Piotroski High F-Score 2024 80
BT – Relative Strength 2024 47
BT – Safe Performers 2024 18
BT – Small Cap Growth 2024 7
BT – Strong Buys 2024 71
BT – Top Stocks 2024 43

You will notice that the number of stocks in a given portfolio vary from 7 (Small Cap Growth Screener) to 80 (Piotroski High F-Score Screener). This dispersion can dramatically impact both the performance and the risk reward profile of a screener. Generally the more stocks in a portfolio, the smaller the performance variation and the lower the volatility. Or in other words, portfolios with fewer stocks will inherently have a higher risk/reward profile.


The new portfolios that have been added to the Stock Rover Investors Library can give you a great head start to find some interesting investment candidates in 2024, as each of the portfolios is based on a popular screener in Stock Rover.

A future blog post will detail how each of these screeners and their associated portfolios fared as we make our way through 2024 and beyond.


Donald E. L. Johnson says:

When we import these portfolios, will they replace the old ones?

Howard Reisman says:

No they will not – they will be added

John Richard Grace says:

these are real good….will you run a screen monthly/quarterly to update them or just let them run for the entire year? Thank you

Howard Reisman says:

The latter as we want to see how the screeners selections performed over time.

victor martindale says:

“The portfolios will also be used to start a test of the performance of the portfolios relative to each other as we go forward in time. This in turn will give us an idea of which screeners are performing well in the current market environment, as well as the ones that are performing poorly.”

What method are you using to test the performance of each portfolio against each other?

Howard Reisman says:

Comparing the appreciation of the portfolio of a whole as a percentage change from its starting value vs. other portfolios and and vs. benchmarks like the S&P 500.

Paul Buongiorno says:

In regards to back tests, does StockRover have the capability to back test these or any other screens back in time? In other words, running a screen with a start date of 12/31/2013, rebalancing yearly and see what the average annualized return were over this 10-year period.



Ken Leoni says:

You can fashion a backtesting-like screener using historical data found in the equation screener function. This will allow you to see how stocks that would have passed the screener at a time in the past have performed since then. However, the backtesting screeners will be limited to the metrics for which we have historical data and does not consider factors like survivorship bias.

Please see the following link on equation screeners

You will then want to take the screener’s results for each year and add/update them into a portfolio. You can then use the portfolio Analytics to see the annualized return

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