What is DataNeverLies?

Prices for every tracked card come from actual market activity: TCGplayer market prices for Pokémon, Magic, Yu-Gi-Oh, Lorcana and Digimon, and real recorded sold prices — from eBay and the major auction houses — for sports cards. No asking prices, no listings, no made-up numbers.

Every card is priced across the full grading ladder — PSA, BGS, CGC, SGC and raw — with per-grade price history charts and the individual sales behind them. Raw TCG cards get the standard condition ladder too: Near Mint is the live market price, and Lightly Played through Damaged are derived with standard market discounts, clearly labeled as estimates.

Every night the engine scores every liquid card and grade from 0–100 across eight market factors — mean reversion, pullback recovery, volume-backed trends, distribution patterns — and publishes plain-language BUY and SELL calls.

Before a single signal went live we replayed the engine against 29 months of real sales, week by week, using only the data that existed at each point in time. Buys went on to beat the market by +5.3 points over the next 4 weeks (+7.7 by 12 weeks); sell flags trailed it by −5.4 points (−10.9 by 12 weeks). Buys won in 99 of 100 backtested weeks. That's measured past performance on our data feed — not a promise of future results.

And the part most sites won't tell you: where the test doesn't prove an edge, we don't publish signals. Sports cards are excluded from signals today — their sale history on our feed is still too young to clear the proof bar — and they join the moment they pass the same test. That's what "DataNeverLies" means.

For any card and grade, get a ready-made sell ladder (95 / 90 / 85 / 80% of market value) and buy ladder (80 down to 60%) — on eBay, with the ~13% seller fee netted out of your sell targets so you see what you'd actually pocket, or dealing cash at a show, where the numbers work differently.

The buy advisor goes one step further: type in an asking price, pick the venue, and it tells you steal / buy / fair / rich / pass — factoring in the card's liquidity (thinly-traded cards get an automatic discount) and any active signal on the card. It's guidance, not financial advice — every buying decision, and its outcome, is yours alone.

Photograph any card and the AI identifies it — set, number, parallel — and pulls its live prices. Slabbed card? It reads the label and cert number in seconds, ready to check against the grader's own cert lookup before money changes hands.

Thinking about grading a raw card? The pre-grade tool examines your photos (front and back), measures centering, and estimates a grade range with per-category subgrades — before you spend grading fees and months of turnaround on a card that's unlikely to gem.

Add your collection and it becomes a live portfolio: current value by real market prices, gains and losses against what you paid, and a performance chart over time — like a brokerage account for cardboard.

Watch any card and set price alerts in either direction; alert digests land in your inbox, so the market comes to you.

The built-in AI analyst answers with the actual guide in front of it — real comps, your real portfolio, live category indexes. Ask it what to sell first, whether a price is fair, or how a set has moved since January, and it cites the data it used.