Top Performing Stock Models

Guru Based on Annual
Dashan Huang 21.2%
Partha Mohanram 15.1%
Motley Fool 12.6%
James O'Shaughnessy 16.7%
Wesley Gray 10.9%
Wayne Thorp 16.5%
Martin Zweig 10.6%
Validea 10.6%
Patrick O'Shaughnessy 15.3%
Kenneth Fisher 10.0%
* Returns are model returns and do not reflect actual trading. Full performance disclaimer
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Top Performing ETF Models

Portfolio Annual
Factor Rotation - Momentum with Trend 12.1%
Factor Rotation - Composite with Trend 11.7%
Factor Rotation - Momentum 10.7%
Factor Rotation - Macro with Trend 10.5%
Factor Rotation - Composite 9.9%
* Returns are model returns and do not reflect actual trading. Full performance disclaimer
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Our Latest Articles


Is Passive Investing Distorting the Market?

By Jack Forehand (@practicalquant)

There is little disagreement among market observers that passive investing is growing. There is also little dispute that the trend is likely to continue as a result of the rise of ETFs, investors’ focus on fees, the inconsistency of active manager outperformance, and numerous other factors. That is where the agreement ends, though. There are substantial disagreements as to if there has been an impact on the pricing of securities within the market, and if so, what that impact is.


The Role of Expectations in Investing

By Jack Forehand (@practicalquant)

This concept of the relationship between expectations and reality is in my opinion one of the most important ones for every investor to understand. Every stock has a series of expectations embedded in its price. For growth stocks, those expectations are high ones. For value stocks, they are much lower. But either way, investors profit when they are able to identify a mismatch between expectations and reality.
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Our Podcast - Excess Returns


Episode 48: Interview: Curating Investing Content and Sharing Knowledge w/ Tadas Viskanta of Abnormal Returns

The volume of financial content that is produced these days can be completely overwhelming. Filtering through it to find the best articles is a task that most investors just don't have the time to complete. Thankfully, they don't have to. Tadas Viskanta helped solve this problem when he launched Abnormal Returns over 15 years ago. Every day, Tadas identifies the best financial content and distills it down to a condensed series of links. And he does it for free. Tadas is also the Director of Investor Education at Ritholtz Wealth Management.

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Episode 47: Why Growth Investing is Harder Than You Think

Growth investing has seemed easy in the past decade. Growth stocks have easily outpaced both value stocks and the market, which has led to great performance for many growth strategies. But it likely won't always be this easy. Over the long-term, growth stocks as a whole have trailed the market, and successful growth investors have had to identify a small group of stocks that perform well in a universe that typically does not. In this episode, we look at some of the realities of growth investing.

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Webinar: An Overview of Validea

A detailed look at the site and how to use it.

Top Quant and ETF Strategies in a Historic Market

A look at some of our strategies and how they worked in the historic 2020 market

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What Our Users Are Saying About Validea

Validea is an incredible valuable tool to have. I depend on it for much of my research to help weed out stocks for my portfolio designs. The filters used for stock selection are easy to use and comes with a detailed analysis as to the why each particular stock either passes or fails the test. The articles & blogs are a great wealth of knowledge too.

Eric J.
Financial Advisor
As a retail investor, I particularly value Validea’s top-notch research capability. With the deluge of investment commentary available via innumerable blogs, articles, FinTwits, white papers, podcasts, etc., the Validea team is one of my go-to sources to maintain some perspective on what's really happening.

Rolf D.
I am always checking my investment/trading ideas with Validea. I feel better knowing that any of the guru models they are following might also be on my side!

Urs K.

Find Your Edge With Validea's Quantitative Investing Tools

Guru Analysis

Analysis of 6000+ stocks using the proven strategies of investment legends like Warren Buffett, Benjamin Graham and Peter Lynch. See the details behind "why" some stocks look good and others don't through the guru methodologies.

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Model Portfolios

22 different model portfolios based on our time tested factor-based strategies.

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ETF Portfolios

Our ETF portfolios use value, momentum and macroeconomic factors to rotate among factors, sectors and asset classes.

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Stock Screener

Screen for stocks that pass the strategies of investment legends such as Joel Greenblatt, John Neff and Martin Zweig. Combine multiple strategies together or add in fundamental filters to refine your result set.

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Trend Following

Our trend following system covers over 45+ asset & investment classes and seeks to help limit losses during major market declines while maintaining a disciplined re-entry method when prices revert. Get alerted when the signals change between Buy and Sell.

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Performance Disclaimer: Returns presented on 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.

Optimal portfolios presented on 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 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.