How Sealed Value Forecasts Pokémon Sealed Product Prices
Sealed Value is a historical-price model. It asks one narrow question: based only on how comparable products in the same sealed family moved at the same age, what price range and action signal does the current sold-price history support? It does not score artwork, characters, card lists, social sentiment, or personal collecting preference.
1. Identify the exact physical product
Each physical product is classified separately as a Pokémon Center ETB, standard retail ETB, six-pack Booster Bundle, conventional 36-pack Booster Box, or Collection product. Collection boxes, tins, blisters, decks, UPCs, SPCs, and figure collections match their specific format; cases, code cards, accessories, and duplicate multi-product listings are excluded. The model keeps all five product-family histories separate because their distribution, contents, entry prices, and premiums differ.
2. Preserve weekly price history
The update process appends missing weekly sales observations instead of replacing older records. That creates a repeatable historical series for every tracked ETB. Weeks with no sales remain visible but do not count as fresh transaction evidence.
3. Normalize every set by age
Calendar dates are converted into months since release. Each ETB is then compared with older boxes at the same lifecycle point. This prevents a 2021 release and a 2026 release from being compared merely because their current dollar prices happen to match.
4. Average complete historical paths
Every recorded history is aligned by time since launch. A product at month 13 can use a 24-month forecast only when at least five distinct comparable sets have recorded complete paths from month 13 through month 37. The model selects the longest supported interval, using up to 20 recent eligible sets. Those participants remain fixed across the entire chart. The center is the simple arithmetic average of cumulative percentage returns. Each physical set has equal influence, with variants averaged within their set first. Large gains or losses can move the average substantially.
5. Separate provisional projections from qualified signals
Every forecast page displays a historical comparison table with the contributing sets, aligned start and end prices and dates, gross returns, each set’s share of the average, and links to the exact products. Open Recorded weeks to audit interpolation against the source observations. The table shows the average historical return and its dollar target calculation: today’s price × (1 + average percentage return). The interactive comparison window lets readers inspect other supported horizons. Ages use catalog release dates, which may be expansion launch dates rather than the exact product launch.
A priced product can show a provisional projection only when at least five distinct same-class sets have recorded its entire forecast interval. A projection is not a buy signal: recommendations also require sufficient selling history, recent data, and useful historical accuracy. Historical tests truncate sales data at each forecast date.
6. Calibrate against simple baselines
Every forecast return remains between the contributing peers’ observed minimum and maximum at that horizon. The model never extends a short history by annualizing returns or extrapolating a mature trend. The curve stops where five complete paths are no longer available; unsupported 12-, 24-, and 36-month targets are unavailable. Equal-set 10th/90th percentile historical returns form the range, expanded when needed to include the average. This is not a calibrated probability interval. A full rebuild advances the model age and cohort together. Same-week price revisions can re-anchor the dollar value; newer weeks wait for the model rebuild. Chronological replay uses only completed observations available at each origin. Repeated sets and overlapping dates are correlated retrospective development observations.
7. Give buyers and owners separate decisions
A new purchase must clear the higher 20.275% net-return hurdle after a 15% selling-cost allowance. Existing owners receive HOLD, REVIEW, or SELL under a separate 9.965% hurdle. A positive forecast can therefore be a reasonable HOLD without being a BUY.
8. Measure historical error
The current walk-forward tests contain 3 Pokémon Center ETB samples, 3 standard ETB samples, 3 Booster Bundle samples, 1 Booster Box samples, and 0 Collection samples. A family with no completed 12-month windows is labeled low confidence rather than given a false error statistic. No single target should be treated as precise.
What the model deliberately ignores
It does not know future print decisions, taxes, shipping, condition, liquidity at your desired sale price, macroeconomic changes, or sudden demand shocks. The site shows a simple rotation/reprint-risk proxy based on age and print-cycle phase, not an official manufacturer schedule. It does not predict individual cards or infer one sealed-product family's return from another.
For the most transparent examples, open Shrouded Fable, Prismatic Evolutions, or Journey Together. Every set page identifies the exact physical product family and distinguishes provisional projections from evidence-qualified signals.