Market data
Raw and graded prices become useful when they are connected to ROI, risk and action.
EV
Expected value before grading.
ROI
Profit after all costs.
Risk
Grade downside made visible.
Market data in Kardive is not there for trivia. Raw value and graded prices feed card detail, ROI calculations, opportunity scores, alerts, watchlists and portfolio valuation.
Price history helps users understand whether a card is stable, rising, volatile or worth waiting on before grading. The chart context supports the final ROI decision.
Watchlists, alerts, opportunities and portfolio snapshots turn market data into actions: revisit a card, create an alert, calculate ROI or export a decision.
A raw price can tell the user what the card may be worth today, but not whether grading is rational. Kardive treats raw value as the cost basis or raw-sale alternative inside a larger ROI model.
A PSA 10 value without PSA 9 and PSA 8 context can lead to bad decisions. Kardive organizes graded prices into practical buckets so upside and fallback grades stay visible together.
The authenticated product relies on cached card details, cached histories, stored opportunity scores and owned user records, so exports and dashboard pages do not request fresh market data just to render.
The user should always know what to do next: calculate ROI, save the assumptions, add the card to watchlist, create a threshold alert or review the opportunity category.
How the pieces connect
Kardive turns market data and user assumptions into a grading decision users can revisit and improve.
Ready to test your next grading decision?
