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Out Perform the Broad Market. 

 

Engineering PhD, and university professor Matt Lutey helps individuals, institutions and financial planners build stock portfolios that outperform the market. 

Work with Matt

 

We all want to beat the market

Most people believe they can’t pick their own stocks. It’s too hard, it requires too much math - they don’t have the education or background. It's boring.

You can have fun and build models that historically outperform the market. 

  • Dow Jones (Lutey et al 2018),
  • Nasdaq 100 (Lutey et al 2014),
  • SP500 Lutey (2024). 

Meet Dr. Matt Lutey

Matt has studied technical analysis and portfolio construction since 2010. Over the last 15 years, he has refined his processes and models, drawing on conversations with mentors and advisors outside the classroom.

Read More of Matt's Story

How Matt can help you

 

A brief message

I believe you can beat the market. I take on the heavy costs—both the data and the time required to conduct the research—so that you don’t have to. By subscribing to the monthly portfolio, you gain access to the results of these studies in real time and can see your outperformance firsthand. Whether you’re an individual investor, a student-managed fund, or a financial planner, there’s a place for you here—regardless of background or experience.

 
 

About Matt

Matt is a finance PhD (University of New Orleans, 2019) and professor. He builds models that track best performing stocks based on fundamental and technical properties that show the strongest fundamental and momentum properties with a proven track record of out performance. He builds university classes that meet the students at their level and brings them through the material through learning by doing. 

The site is an education platform that shows portfolio strategies that outperform the market historically, recession signals, day-trading strategies, investment courses and financial modeling courses. Key takeaways are: 

  • 15 years of research experience and building models that outperform the market. 
  • Applications that show the models continue to outperform in real time after publication.
  • Data used with point-in-time survivor-bias free estimates from the Center for Research in Security Prices (CRSP) and Fact Set via Portfolio123.com.

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