Top Performing Stock Models

Guru Based on Annual
Return
Partha Mohanram 14.8%
Dashan Huang 19.9%
Motley Fool 11.9%
Validea 10.0%
Martin Zweig 10.0%
James O'Shaughnessy 14.7%
Patrick O'Shaughnessy 14.5%
Wayne Thorp 14.9%
Wesley Gray 9.1%
Peter Lynch 9.3%
* Returns are model returns and do not reflect actual trading. Full performance disclaimer
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Top Performing ETF Models

Portfolio Annual
Return
Factor Rotation - Momentum with Trend 11.2%
Factor Rotation - Momentum with Trend 11.0%
Factor Rotation - Composite with Trend 10.7%
Factor Rotation - Composite with Trend 10.6%
Factor Rotation - Macro with Trend 10.1%
* Returns are model returns and do not reflect actual trading. Full performance disclaimer
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Our Latest Articles

7/1/2020

Is the Price/Book Dead?

By Jack Forehand, CFA (@practicalquant)

The Price/Book has probably been the most important valuation ratio of the past century. If you look at the academic research that supports value investing, you won’t find any other ratio that is referenced more often. When Fama and French built their famous 3 factor model, value was measured using the Book/Market, which is the inverse of the Price/Book, and much of the academic research since then has followed suit. Since many quantitative value funds and ETFs take their lead from the academic research, they have also relied more heavily on the Price/Book than any other valuation ratio.

6/24/2020

World’s Worst Market Timer: A Story and A Lesson

By Justin Carbonneau (@jjcarbonneau)

Imagine this: 80 years ago, you won a prize that promised 13 payments of $10,000 to be paid out over time. You think you’ve finally got lucky, hit the big one. That is, until you read the fine print.
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Our Podcast - Excess Returns

7/6/2020

Episode 31: Can You Quantify Warren Buffett?

In this episode, we are going to try something a little different. Our goal at Validea is to capture quantitative strategies that work over the long-term. To do that, we go through books and academic papers to find factor-based models with results to back them up. We are going to periodically do some episodes for the podcast where we do a deep dive into these strategies and look at the factors behind them. In the first episode, we will take a detailed look at our strategy based on Warren Buffett, which was extracted from the book Buffettology. But before we look at the strategy's criteria in detail, we start with a more basic question: Can Warren Buffett be quantified?

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6/29/2020

Episode 30: The Pros and Cons of Quantitative and Discretionary Investing

We all have a tendency to believe that the way we invest is the best way. As quantitative investors, we can sometimes feel that there is no reason anyone should ever use a discretionary strategy. But like most issues in investing, there are two sides to this argument. In this episode, we talk about quantitative and discretionary investing and the benefits of each.

Watch on YouTube    Listen on iTunes    Listen on Spotify    Listen on Google Podcasts    Listen on Sticher    Listen on Breaker    Listen on Overcast
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Videos

Webinar: An Overview of Validea

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

Webinar: Using Validea in Rocky Markets

A look at some ways to use Validea during market downturns

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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.

See How It Works

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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.

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.