Private Beta — Coming Soon
Quantitative investment research
for the Pokémon TCG market
A cross-sectional hedonic pricing model identifies cards trading below their estimated fair value — ranked by statistical significance, not hype.
0.879
Model R²
n = 360
Sample (SIR + IR)
14
SV-Era Sets Covered
0.63
Key Elasticity (SIR)
Methodology
OLS Hedonic Pricing Model
PokeQuant estimates the fair PSA 10 price of a card by regressing observable card attributes — rarity, raw market price, set fixed effects, type fixed effects, and card-specific quality signals — against observed auction outcomes. Mispricing is the percentage gap between the current raw market price and the model-implied fair value.
The underlying research is documented in a working paper currently under embargo. It will be published on SSRN concurrent with the public launch.