One Victor Wembanyama rookie card. Sixty-three parallels. Every grade, every grader, tracked from first sale to today. 

Only on Slabnomics will you hear a ranking of all parallels by return percentage AND grader breakdowns.

I broke down the entire 2023 Panini Prizm #136 rainbow to find which colors and which grades actually paid, and the answers cut against what the hobby repeats. The famous Silver underperformed. A PSA 9 beat the PSA 10 in a lot of parallels. 

Listen in for which parallels had the best ROI; a full data teardown of a $138 million card market. 

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 Out of the 10 biggest names in 1952 Topps, only four beat the S&P 500 over 22 years. 

We pulled 9,720 real sales back to 2004, ran every PSA grade through three market cycles, and spoiler alert, the winner isn't the 1952 Mantle.

Plus the first look at RRR, the risk-return ratio built to tell you which cards let you sleep at night. Full grade-by-grade breakdown at slabnomics.com. 

Keep Building. 

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PSA just halted all four of its value grading tiers. The hobby is calling it a failure. We're calling it something else. PSA just acted like a central bank.

This episode breaks down why PSA controlling the supply of grades is the same lever the Federal Reserve pulls when it controls the supply of money. 

We map the full analogy, the dual mandate between volume and grade integrity, and where it breaks down in a way every collector should understand.

Then we run the backtest. PSA did this exact move in 2021, and the data tells us what comes next. 

Supply structure, grade inflation, and what to watch over the next two quarters.

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 Sports card investing through a Wall Street lens. Matthew Worley breaks down supply, demand, and market cap mechanics using three Messi Prizm World Cup Silvers (2014, 2018, 2022). Learn float vs pop report, gem rate math, why hypermodern oversupply breaks and vintage tightens, and how to time entry points. Data-driven card investing from Slabnomics. 

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Here's why it's a bad investment every time. 

Only on Slabnomics.

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174 of my own card flips: 
Vintage won 62.7% of the time. Modern won 40.7%. 

Value Premium, What cards are most like value stocks and growth stocks, and how to tilt a portfolio.

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Seven Card Ladder charts. Three years of price and volume. Seven different cycle stages.

This episode applies the Wyckoff Method, the 100-year-old framework finance uses to read market cycles, to the sports card market. The three laws. The four stages. The Composite Operator. Then chart by chart through Low-End, Mid-End, High-End, Baseball, Basketball, Football, and Soccer. 

By the end you'll know which segments are still early, which are running hot, which are showing distribution warnings, and what to do about each one in your portfolio.

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 This is the first time I've walked through the full Slabnomics process from start to finish. Post-mortem to pattern recognition to filter to hunt to execution decision. End to end, with one real trade as the worked example. 

I talk about:

• Post-mortem methodology and tag-based pattern recognition
• The four-tag rule for win-rate stacking
• MLD framework applied to a current superstar's valuation
• Supply structure analysis on Prizm World Cup Silver parallels
• Alpha decay and the half-life of an information edge

Enjoy the episode and share it with a friend!

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Every Facebook card group has the post. Cash in hand. Buying at 80% of comp. Same wording, different accounts, every week.
Nobody asks where the 80% came from. Today we do.

This episode walks through the why of that number, the three cognitive biases that keep sellers accepting, and two practical things to do so we can stop seeing those posts.

Why this practice preys on the very people we should safeguard for the long term good of The Hobby: New Entrants.

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Both sides studied the stock market. Nobody applied this to cards. Until now.
In this episode of Slabnomics, we introduce the Discoverable Market framework and make the case that the card market is neither efficient nor random. It's exploitable. The information exists. Most people just aren't using it.


✅ What the Efficient Market Hypothesis actually means
✅ The 3 conditions required for market efficiency
✅ Why collector behavioral errors aren't random

The card market is newly becoming a real market. The frameworks that explain its behavior are barely being applied. The information required to price these assets correctly is freely available — and widely ignored.

That's the definition of a discoverable market. The question is whether you want to do the work.

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