Trading card market index
How each card game has moved over the last 14 days, measured from our own nightly price record — not borrowed from anyone. Yu-Gi-Oh! leads at +1.0%, Disney Lorcana trails at -3.0%.
| Game | 14-day path | Index | 14d | Breadth | Spread (p10…p90) | High-value gap | Cards |
|---|---|---|---|---|---|---|---|
| Yu-Gi-Oh! | 101.0 | +1.0% | 31%469/352 | -8% … +12% | -0.2% | 1,494 | |
| Magic | 100.4 | +0.4% | 17%419/221 | -2% … +4% | +0.8% | 2,425 | |
| Sorcery | 100.0 | -0.0% | 15%224/223 | -3% … +3% | +1.0% | 1,477 | |
| Weiss Schwarz | 100.0 | -0.0% | 7%92/108 | -1% … +0% | -0.2% | 1,313 | |
| Pokémon | 99.8 | -0.2% | 34%818/1,080 | -14% … +17% | +0.1% | 2,432 | |
| Union Arena | 99.5 | -0.5% | 20%280/354 | -8% … +6% | +0.7% | 1,416 | |
| Grand Archive | 99.0 | -1.0% | 10%132/255 | -9% … +2% | -0.8% | 1,348 | |
| Flesh and Blood | 98.9 | -1.1% | 11%158/361 | -7% … +2% | +0.1% | 1,417 | |
| Digimon | 98.8 | -1.2% | 14%197/438 | -8% … +4% | -0.4% | 1,384 | |
| Dragon Ball | 98.6 | -1.4% | 14%200/421 | -10% … +3% | +1.5% | 1,458 | |
| Star Wars Unlimited | 98.5 | -1.5% | 10%147/462 | -8% … +2% | +0.3% | 1,402 | |
| Riftbound | 98.2 | -1.8% | 32%452/649 | -18% … +14% | +1.3% | 1,425 | |
| One Piece | 98.2 | -1.8% | 17%238/555 | -12% … +6% | +1.4% | 1,442 | |
| Gundam | 97.1 | -2.9% | 23%304/683 | -17% … +13% | +1.4% | 1,315 | |
| Disney Lorcana | 97.0 | -3.0% | 21%119/264 | -16% … +6% | +2.4% | 580 |
Index 100.00 on 2026-09-22, trimmed-mean of a fixed basket · Breadth share of cards up more than 2%, with the rising/falling counts beneath · Spread the middle 80% of individual card moves · High-value gap value-weighted return minus equal-weighted; positive means expensive cards led.
What the numbers say
- The composite is -0.9% — across all 22,328 cards in the basket, the market as a whole is close to flat. The movement is between games, not in the market overall.
- Breadth is the weak spot for Disney Lorcana: only 21% of its cards rose, against 31% for Yu-Gi-Oh!. A game can fall on a handful of big names, but thin breadth means the decline is broad.
- Riftbound is the widest market, with the middle 80% of cards spanning -18% to +14%. Weiss Schwarz is the tightest at -1% to +0% — the same 14 days, a very different amount of risk per card.
- Expensive cards are leading in Disney Lorcana by +2.4%. Weighting the basket by card value instead of counting every card equally lifts the return that much, so the money is concentrating in the chase cards while the typical card sits still.
Based on 13 daily readings between 2026-09-22 and 2026-10-06. Each basket holds only cards with a clean reading on every day of the window; games with fewer than 150 such cards are omitted, which is why the newest games show a start date instead of a level — a game added three weeks ago has no thirty-day window, and we would rather say so than compute one from eleven days. How we compute values · card-level movers · monthly reports (citable, frozen).
Which trading card game is going up in value?
Over the last 14 days the strongest index move was Yu-Gi-Oh! at +1.0%, and the weakest was Disney Lorcana at -3.0%. Across every game together the composite moved -0.9%. The table above shows each game we record.
How is the index built?
We snapshot every card's market value nightly. For each game we take a fixed basket of cards tracked on every day of the window, rebase each card to 100 on day one, and average them after trimming the top and bottom 5%. Trimming keeps a few wild swings from carrying a whole game, and a fixed basket means the level moves because prices moved, not because the constituents changed. Moves beyond ±100% are dropped as data errors rather than trades.
What does the high-value gap column mean?
It is the same basket weighted by card value instead of counting every card equally, minus the equal-weighted return. A positive number means the expensive cards outran the typical card — money concentrating at the top of the set. No single card may exceed 2% of the weighting, because a handful of chase cards would otherwise be the entire index.
Why is there no volatility figure?
Because we would not be able to defend it. Our price feed is smoothed, so only about a fifth of card-days show any change at all. Annualising that daily series returns single-digit volatility for markets that plainly move far more than that. Rather than publish a number we know is wrong, we show dispersion — the 10th to 90th percentile of actual card moves — which needs no annualising.
Does a rising game mean I should buy?
No. An index tells you what a basket did, not whether any particular card is cheap. Individual cards inside a falling game can be rising and vice versa, which is exactly what the breadth and dispersion columns are there to show. Use it as context, then check a specific card's fair value before acting.