Fungo Labs plans 3,232 encrypted genesis NFTs. Their holders can inspect what others cannot. We built a 90-day market simulator to explore the prices, trading behavior, and information asymmetry of a collection that can stay sealed.
Explore the simulation ↗Research snapshot: 12 October 2026. Not affiliated with Fungo Labs or Zama.
Move the assumptions. See how a blind secondary market responds. Day 0 means the start of secondary trading, not a promised calendar launch date. Prices are normalized to the unknown future paid-mint price.
The most probable regime is not the same as a guaranteed outcome. Each card shows the scenario's day-90 median, 10th–90th percentile range, and an activity estimate.
Median prices are representative simulated floor levels, not the value of a particular NFT. Individual art quality and privately held essence can create different negotiated prices.
A sealed NFT has option-like emotional value: every purchase carries discovery and surprise. That could accelerate early trading, especially while the collection is new. Novelty, however, generally decays faster than utility.
The seller has viewed the NFT; the buyer may not have. Owners with attractive art can publish it, while disappointing examples may stay sealed. Rational buyers can then discount the unknown pool instead of paying extra for mystery.
Fungo's official design permits permanent, holder-initiated publication of the visual look. The underlying class, four stats and element remain encrypted on-chain, viewable to the current holder. Users can still voluntarily disclose information outside the protocol.
A game using hidden stats can give private essence persistent purpose. A future launchpad could extend the idea. Neither launch date nor financial impact is guaranteed; the model intentionally assumes no timed catalyst unless you enable one.
Early trading is not necessarily healthy price discovery. Whitelist recipients have a different cost basis from paid minters. A burst of free-mint sales can pressure the visible floor even if collectors remain optimistic about the technology. The 232 team tokens may affect perceived future supply; their vesting or selling behavior has not been specified in the project material used here.
On the demand side, cZAMA adds a privacy-native payment experience to the primary sale, but also requires a user to obtain a confidential token. Fungo's official FAQ says the sealed contents become viewable to a new holder only after a post-transfer waiting period and an additional transaction. That friction matters more to short-term speculators than to committed collectors.
Finally, a "floor" may not mean the same thing it means for an ordinary PFP project. A public look can anchor a visible quality market. Sealed NFTs may cluster at a lower floor because every rational bidder wonders what the current owner already knows. A collection-wide minimum does not fully capture that quality dispersion.
Early curiosity, unspent demand and free-mint listings compete to define a price. Individual collectors learn their art and essence; secondary buyers face uncertainty over sealed inventory.
Some art may be made public. Prices split by visibility, attention normalizes, and the market starts discounting unknown inventory. Loyalty matters more than raw reach.
Execution, ecosystem milestones and market depth take over. Without new reasons to hold, curiosity can fade. With credible product progress, confidentiality may become a durable differentiator.
A stylized 90-day geometric stochastic process runs 650 independently seeded paths per regime (1,950 total). Each regime starts from subjective checkpoint anchors at day 0, 7, 30 and 90. Checkpoints are interpolated in log-price space; daily Gaussian shocks produce uncertainty. The 10th, 50th and 90th percentiles are calculated independently at each day.
Attention follows an exponentially decaying synthetic index with a persistent community component, conditional on price surprises and hypothetical events. Secondary trade counts use a Poisson-style count model driven by attention and initial free-mint selling pressure. The result is an exploratory stress test, not an agent-by-agent order-book simulation.
Scenario weights are 35% bear / 45% base / 20% bull. They represent judgment calls, not machine-learned probabilities. The combined median and range use weighted scenario paths, while the line chart shows separate regime distributions.