all collections · daily · marketplace overlay
weekly · real (teal) vs wash (rose)
cumulative SUI vs % of supply
active bids by price
buyer funding sources
rank over time · top holders
median sale by trait value
Multi-signal read of the bid/listing event history — wash trading, bid cancellations, accepted-offer rate, and buyer spread. Context for review, not a verdict. Note: a high bid-cancel rate is common for liquid collections (bidders reprice constantly), so a high rate alone is NOT manipulation — only a repeatedly re-posted, repeatedly cancelled bid wall is. "Suspicious" is flagged only on real wash or spoof patterns, never low offers alone (utility/game items read as direct-buy).
CubicNft's tracked volume of 19 SUI is below typical top collections, with no recent sales activity in the last 7 or 30 days. The collection exhibits significantly higher top-10 holder concentration at 93% compared to the typical 26%, and its 5% bot-flagged holders are below the typical 9%. A genuine strength is its 0.0% wash-traded volume, which is notably lower than the typical 0.1% for top collections.
Active bids by price. Amber = collection bids (fill against any NFT — the wall a seller can hit); teal = single-NFT bids. Where amber stacks up is the real floor support.
74% of buyers funded from exchanges — demand looks organic
quantilesTDigestMerge over every sale recorded.
bluemovetradeportsouffl3tocentop holders by NFTs held (current holder = latest sale's buyer — the human, not the kiosk). Area = holdings; rose = automation bot, amber = suspected wash, sky = other.
Holder = latest buyer per NFT. Traded NFTs only.
how the top holders built (and shed) their stacks over time. Each band is one holder; thickness = cumulative net market position (buys − sells) that week. 12 holders across 7 weeks.
collections most-bought by this collection's 19 buyers — its overlapping communities / gravity centers. Bar = shared buyers; % = share of this collection's buyer base.
funders (rose, left) that seeded ≥2 of this collection's buyers → buyers (grey) → collection (sky). A funder fanning to many buyers is a sybil/wash signal.
Traces the first SUI funder of each buyer.
wallet pairs that round-tripped the same NFT (A→B then B→A) — real wash trading, not just mutual transfers. Bar = distinct NFTs cycled between the pair.
Round-trips where the same NFT returns to a prior seller.
First-SUI-funder of each buyer. High global fan-out = CEX/bridge (organic retail withdrawals). A funder that seeded many of THIS collection's buyers but funded little else (high concentration) = manufactured-demand signal. Funder identity is heuristic, not a labeled exchange list.
Cumulative buys − sells, weekly. Market-acquired position only — excludes mints/airdrops/transfers, so the floor is clamped at 0.
Buyer-set overlap — a proxy for shared collectors, not on-chain co-custody.