Top Performing Stock Models

Guru Based on Annual
Return
Dashan Huang 22.4%
Partha Mohanram 15.9%
James O'Shaughnessy 20.4%
Motley Fool 14.4%
Wesley Gray 12.9%
Patrick O'Shaughnessy 18.1%
Wayne Thorp 17.2%
Meb Faber 17.1%
Martin Zweig 11.8%
Validea 11.5%
* Returns are model returns and do not reflect actual trading. Full performance disclaimer
All Stock Portfolios

Top Performing ETF Models

Portfolio Annual
Return
Factor Rotation - Momentum with Trend 13.4%
Factor Rotation - Composite with Trend 13.0%
Factor Rotation - Momentum 12.0%
Factor Rotation - Composite 11.3%
Factor Rotation - Macro with Trend 11.0%
* Returns are model returns and do not reflect actual trading. Full performance disclaimer
All ETF Portfolios

Our Latest Articles

1/13/2020

Considerations For Investors Seeking High Dividend Paying Stocks

By Justin Carbonneau (@jjcarbonneau)

Many stock investors seek out high dividend paying companies. Over time, dividends have been an important component of long-term stock returns and many investors, particularly investors drawing off their portfolios, favor higher yielding companies because they view income paying investments as getting "paid while they wait".

1/6/2021

The Case Againt Value Stocks - Part II

By Jack Forehand (@practicalquant)

It would be an understatement to say that the last decade has been a challenging one for value investors. The problems were initially isolated to certain value metrics (i.e. Price/Book) and more contained in strategies that overweighted certain sectors, but in the past few years the damage spilled over into pretty much any way you tried to represent value. And just when it seemed things couldn’t get any worse, the coronavirus came in and dealt one more horrible gut punch to value.
Read Our Blog

Our Podcast - Excess Returns

1/18/2021

Episode 65: Why Dividend Investing May Be Overrated

Dividend based investing strategies are very popular among investors. The ability to receive regular cash payments from the equities they own and a belief that dividend paying stocks outperform the market are both major drivers of this popularity. But this preference for dividend stocks often exceeds the reality of the benefits they provide. In this episode, we take a look at the facts behind dividend investing. We look at how dividend-paying stocks perform over time and why the source of their outperformance may be different than many investors think. We also look at alternative ways to accomplish the goals of strategies based around dividends.

Watch on YouTube    Listen on Apple Podcasts    Listen on Spotify    Listen on Google Podcasts

1/11/2021

Episode 64: Breaking Down the Investment Strategy of Peter Lynch

Peter Lynch is one of the most successful mutual fund managers of all time. Lynch guided Fidelity Investment's Magellan Fund to a 29.2 percent average annual return from 1977 until his retirement in 1990, almost doubling the S&P 500's 15.8 percent yearly return over that time. And he did it with an approach that is very unique among history's most successful investors. In its paper Superstar Investors, AQR tried to use factors explain the historical performance of some of the best investors of all time, and Lynch's performance was the most difficult to explain using that framework. In this episode, we look at Lynch's approach to investing and our quantitative strategy based on him, which we extracted from his book One Up On Wall Street. We also look at why his strategy is so difficult to quantify.

Watch on YouTube    Listen on Apple Podcasts    Listen on Spotify    Listen on Google Podcasts
All Episodes

Videos

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

All Videos

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.

See How Your Favorite Stocks Score

Model Portfolios

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

View Returns

ETF Portfolios

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

See Portfolios

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.

Try It Out

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

Start Your Free Trial
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.