The Stoplight System with Tykr founder Sean Tepper
Author: Andrew Sather, Stephen Morris, and Evan Raidt
July 27, 2026
Duration: 43:54
In this episode, Andrew interviews Sean Tepper, founder and CEO of Tykr (T-Y-K-R), an investing education and stock analysis platform built for everyday investors who want a clear, repeatable process. Sean shares how he went from running a service business to building a value-investing system inspired by Phil Town—then turning it into software with a simple “stoplight” rating: green (on sale), gray (watch), red (overpriced).
They break down what drives Tykr’s ratings, why Sean avoids technical analysis, and how Tykr uses a combination of financial statement trends and margin of safety to score stocks. You’ll also hear his framework for evaluating companies beyond the numbers (the 4Ms: Math, Meaning, Moat, Management), why controlling emotions is the hardest part of investing, and how to think about building a focused portfolio without over-diversifying.
What You Will Learn
How Tykr’s green/gray/red stoplight system works
The two big inputs behind the rating: financial statement trend score
Why Sean ignores technical analysis
The 4M framework for evaluating a stock beyond the numbers
How “stockpiling” helps investors fight panic and use downturns as buying opportunities
Timestamps
00:00 Meet Sean Tepper (Tykr founder)
00:34 Sean’s origin story: service business → investing → building a scalable system
02:18 Why he ditched influencers/noise and went math-first
03:16 The stoplight system: green/gray/red
05:31 Fundamentals vs technicals
06:53 Why value investing wins long-term
10:03 What makes a stock “green”
15:25 Who Tykr is for and why brokers leave beginners stuck at “now what?”
17:37 Biggest investor mistake: emotions vs. “stockpiling” during downturns
22:07 AI and the 4Ms framework
Resources Mentioned
The Value Spotlight Newsletter: https://einvestingforbeginners.com/value-spotlight-newsletter/
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Remember, invest with a margin of safety—emphasis on the safety. Have a great week, and we’ll talk to you next time.
Timestamps are generated by artificial intelligence, and are not 100% accurate depending on the platform used for listening.
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