Factor-Based Stock Portfolios

Guru Based on Annual
Meb Faber 20.8%
James O'Shaughnessy 18.9%
Partha Mohanram 14.2%
Dashan Huang 17.5%
Motley Fool 12.0%
Validea 15.3%
Benjamin Graham 11.0%
Kenneth Fisher 10.7%
Validea 10.6%
Martin Zweig 10.4%
* Returns are model returns and do not reflect actual trading. Full performance disclaimer
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Factor-Based ETF Portfolios

Portfolio Annual
Factor Rotation - Momentum with Trend 11.7%
Factor Rotation - Composite with Trend 11.5%
Factor Rotation - Momentum 10.6%
Factor Rotation - Composite 10.3%
Factor Rotation - Value with Trend 9.2%
* Returns are model returns and do not reflect actual trading. Full performance disclaimer
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A detailed look at the site and how to use it.

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Our Latest Articles


What Would Your Investing Obituary Say?

By Justin Carbonneau (@jjcarbonneau)

At the Berkshire Hathaway annual meeting over the weekend, an attendee asked Warren Buffett for his advice on achieving success in life and investing. His response was a powerful one: “You should write your obituary and then try to figure out how to live up to it.” This statement inspired the idea for this article. If we, as investors, were asked to write our own investing obituary, what would it say?


Four Lessons from Guy Spier

By Jack Forehand, CFA, CFP® (@practicalquant)

We were very fortunate to be able to interview Guy Spier on our Excess Returns podcast last week. If you haven't watched the interview yet, I recommend you check it out before you read this because my writing won’t do justice to Guy’s insights in the same way listening to them directly from him will, but I wanted to summarize some of the biggest lessons I learned from our discussion.
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Excess Returns Podcast


Episode 210: Bridging Financial Planning and Factor Investing with Northern Trust's Peter Mladina

In this episode, we speak with Northern Trust's Peter Mladina. Peter has published extensive research in the areas of both financial planning and factor investing. We discuss his work in both areas and brought in our friend and co-host of our The Education of a Financial Planner podcast Matt Zeigler to help us with the questions on the planning side. We cover goals-based planning, modeling human capital, how to think about alpha in a post CAPM world, the future of the 60-40 portfolio and a lot more.

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Episode 209: The Impact of ChatGPT on Investing with Alejandro Lopez-Lira

Like many investors, we have been thinking a lot about the impact that AI and large language models will have on investing. In this episode, we bring in an expert to help us sort it out. We speak with University of Florida Professor of Finance Alejandro Lopez-Lira, who was worked extensively with this new technology and recently authored the paper "Can ChatGPT Forecast Stock Price Movements? Return Predictability and Large Language Models". We discuss how ChatGPT works, its potential future impact on investing and what his research showed with respect to its ability to predict short-term stock price movements. We also take some time at the end to cover some of his other interesting asset pricing research.

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The Education of a Financial Planner Podcast


Episode 14: The Challenge of Understanding Your True Risk Tolerance

Figuring out an investor's true risk tolerance can be a very difficult process. There are certainly standard tools and processes that can be used to try to find the answer, but as Mike Tyson said "Everyone a plan until they get punched in the face." In this episode, we talk through the different types of risks investors face in markets and discuss some of the approaches we have used to better assess investors' true ability to handle them.

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Episode 13: Interpreting the Key Lessons from Great Investors

On our Excess Returns podcast, we have had the privilege to talk to many great investors. At the end of each of those interviews, we ask all of them one standard closing question: If you could teach one lesson to the average investor, what would that be? We recently published a compilation where we brought on all those insights together into one episode. In this episode, we discuss our favorite lessons from all of those we highlighted and discuss what they mean for investors.

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Performance Disclaimer: Returns presented on Validea.com are model returns and do not represent actual trading. As a result, they do not incorporate any commissions or other trading costs or fees. Model portfolios with inception dates on or after 12/30/2005 include a combination of back tested and live model returns. The back-tested performance results shown are hypothetical and are not the result of real-time management of actual accounts. The back-testing of performance differs from actual account performance because the investment strategy may be adjusted at any time, for any reason and can continue to be changed until desired or better performance results are achieved. Back-tested returns are presented to provide general information regarding how the underlying strategy behind the portfolio performed in our historical testing. A back-tested strategy has the benefit of hindsight and the results do not reflect the impact that material economic or market factors may have had on advisor's decision-making if actual client assets were being managed using this approach. The model portfolios offered on Validea are concentrated and as a result they will exhibit high levels of volatility and their performance can be substantially impacted by the performance of individual positions.

Optimal portfolios presented on Validea.com represent the rebalancing period that has led to the best historical performance for each of our equity models. Each optimal portfolio was determined after the fact with performance information that was not available at portfolio inception. As a result, an investor could not have invested in the optimal portfolio since its inception. Optimal portfolios are presented to allow investors to quickly determine the portfolio size and rebalancing period that has performed best for each of our models in our historical testing.

Both the model portfolio and benchmark returns presented for all equity portfolios on Validea.com are not inclusive of dividends. Returns for our ETF portfolios and trend following system, and the benchmarks they are compared to, are inclusive of dividends. The S&P 500 is presented as a benchmark because it is the most widely followed benchmark of the overall US market and is most often used by investors for return comparison purposes. As with any investment strategy, there is potential for profit as well as the possibility of loss and investors may incur a loss despite a past history of gains. Past performance does not guarantee future results. Results will vary with economic and market conditions.

Validea.com is a research provider that is owned and operated by The Reese Group, LLC. Validea.com offers model portfolios, screening and stock analysis that is not customized to any individual. No information on Validea.com should be construed as investment advice. Validea Capital Management is a separate investment advisory firm registered with the state of Connecticut. Validea Capital offers investment management services directly to clients and is a separate entity from The Reese Group, LLC. The Reese Group and Validea Capital are affiliated entities and share partial common ownership.