all collections · daily · marketplace overlay
weekly · real (teal) vs wash (rose)
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).
Rootlets Basecamp Nft exhibits a significantly lower tracked volume compared to typical top collections, with no recent sales activity in the last 30 days. Its holder concentration is notably higher, with the top 10 holders controlling 74% of the supply, and a larger proportion of bot-flagged holders at 28%. However, a genuine strength is its complete absence of wash-traded volume, which is below the typical 0.1% seen in peer collections.
90% of buyers funded from exchanges — demand looks organic
quantilesTDigestMerge over every sale recorded.
tradeporttop 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.
Cumulative buys − sells, weekly. Market-acquired position only — excludes mints/airdrops/transfers, so the floor is clamped at 0.
the launch window — first sales plotted by time since the collection's first trade (x, sqrt-scaled) and price (y, log). Snipers who bought and flipped the same NFT within an hour are flagged — the signature of launch front-running.
individual NFTs ranked by sale count — a high count on one NFT is a wash-trading tell. Click any to see its full ownership provenance.
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. 21 total buyers.
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. 0 NFTs round-tripped in this collection.
Round-trips where the same NFT returns to a prior seller.
Top 4 first-week buyers netted 1 SUI flipping in.
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.
rose= sniper (bought & flipped the same NFT within 1h) or bot buyer · sky= ordinary early buyer · click a dot for that NFT's provenance.
First 120 sales. Secondary-market launch only — mint events aren't yet indexed as sales.
Top 20 NFTs by sale count.
Traces the first SUI funder of each buyer.
Buyers in the first 7 days of trading; net realized SUI = proceeds from all later sells − all buys (a proxy, not per-NFT cost basis).