SUISONAR
live · collection summary

cooperate ikachan

0x0081dfde5fd50f02357ed690459086a6e6890683a921ee19f136ec1a95f30068::ikachan::Nft
#73 by volume#76 by sales#259 by washamong 552 established collections (≥25 sales)
metrics cover all tracked history (indexed since 2025-04-05) unless a window — 7d / 30d / current — is labeled.

demand & order book

Organic demand

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).

wash volume
0%
same-NFT round-trips
bid cancel
0.8×
5,492 cancelled / 7,225 created
offers accepted
26%
sales meeting real demand
sales / buyer
3.4
898 buyers

bid activity over time all-time

Bids placed vs cancelled, weekly. A standing wall of bids that's repeatedly cancelled can signal manufactured demand — an on-chain signal, not proof.

1.8K1.4K91745802025-05-122025-10-272026-05-25bids placedbids cancelled
AI readout · generated from the metricsgoogle/gemini-2.5-flash · 2026-06-10 05:28:19 UTC

Ikachan's tracked volume of 31,944 SUI is a notable figure, though its recent trading activity, with 0 SUI in the last 7 days and only 2 SUI in the last 30 days, indicates a current pause in market engagement. The collection's top-10 holder concentration at 21% is slightly less concentrated than the typical top collection, suggesting a somewhat broader distribution among its 564 current traded holders. Furthermore, Ikachan exhibits no wash-traded volume, which is a positive indicator compared to the typical collection, and its 9% bot-flagged holders aligns directly with peer medians.

signal scorecardverdict from on-chain forensics — evidence in the panels below

  • 9% of current holders are flagged bots
  • Volume looks clean — under 2% wash across tracked history
wash rateall tracked
0.0%
10 SUI washed
holder conc.current
14%
top-10 share of supply
bot holderscurrent
9%
score ≥ 0.30
volume7d
0
— vs prior 7d
volume30d
2 SUI
trailing 30d
velocity7d
0
sales / 7d
tracked volume 31.9k SUItop funder fan-out 1315 buyerstracked since 2025-04-05 · windows anchored to dataset head 2026-06-10

supply & profit-taking

48%of held supply underwater
48% of the 2,007 secondary-bought · 0 minted (cost-unknown)
2.6 SUI
floor (robust)
2.5 SUI
median cost
2,007
held
<0.5×
729
0.5–1×
313
1–1.5×
173
1.5–2×
118
2–3×
73
3–5×
136
5×+
465

Cost basis as a multiple of the floor. Emerald = at/below floor (in profit); rose = underwater. Tall bars just above 1× are profit walls — supply that flips to break-even (and tends to list) as the floor rises.

sweep cost depth

Cumulative SUI to buy the cheapest currently-listed NFTs, vs % of supply. Real cost (teal) vs a naive floor-only sweep (dashed) — the gap is the depth premium. Built on validated listings, so phantom asks don't fake the floor.

101001.0K10K0.526154215058590.00%4.9%9.9%cumulative cost (SUI, log) vs % of supply
floor 2 SUIlisted 198 / 2,007 (9.9%) real sweep floor × n

bid wall depth

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.

1843695537370.0–2 SUI single: 697 collection: 402–4 SUI single: 233 collection: 1814–5 SUI single: 16 collection: 1005–7 SUI single: 4 collection: 297–9 SUI single: 9 collection: 359–11 SUI single: 6 collection: 4111–12 SUI single: 3 collection: 3712–14 SUI single: 1 collection: 7014–16 SUI single: 4 collection: 3116–18 SUI single: 2 collection: 8218–20 SUI single: 2 collection: 2420–21 SUI single: 2 collection: 721–23 SUI single: 2 collection: 623–25 SUI single: 1 collection: 1025–162 SUI single: 17 collection: 410.0225bid price (SUI)
1,733 active bidscollection-bid wall at 24 SUI (181 bids) collection single

sale trigger · buy vs sell pressure

Each sale by who crossed the spread: teal = a buyer took a standing listing (demand); rose = a seller hit a standing bid (supply). Classified from the settling event, not a price guess. Buy-led markets pull the floor up.

2025-05-172025-09-032026-05-27daily sales by trigger
60%buy-led(buyers taking listings vs sellers hitting bids) buy 1,859 sell 1,220

seller hold time · flip speed

How long sellers held before selling. Violet = minted/airdropped then flipped; teal = bought on secondary then resold. A short violet pile is minters dumping; a long tail is a maturing holder base.

2.1dmedian hold before sale
3.3h
p10 (fastest flips)
67d
p90
2,930
sales measured
128
<1h
812
1-24h
1,034
1-7d
412
7-30d
319
30-90d
224
90-365d
1
>365d
minted/airdropped (1,298) bought secondary (1,632)

listing duration · sold vs cancelled

How long listings stay open before they resolve. Teal = sold, rose = cancelled, amber = repriced. A wall of short rose bars is listing churn (list → cancel → relist); teal mass is genuine liquidity.

2.6h
median to sale
1.5h
median to cancel
8,531
completed listings
3,718
<1h
3,248
1-24h
991
1-7d
346
7-30d
167
30-90d
61
>90d
sold cancelled relisted

demand authenticity — funding sources all-time

82% of buyers funded from exchanges — demand looks organic

organic 732 mid 86 manufactured 0898 of 898 buyers have a known first-funder

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.

tracked sales
3,079
volume
31,944 SUI
distinct buyers
895
717 sellers
distinct NFTs traded
1,397

price distribution all-time

p10
1.37 SUI
p50 (median)
5.09 SUI
p90
25.08 SUI

quantilesTDigestMerge over every sale recorded.

marketplace mix (top 5) all-time

  • tradeport
    66.7%
  • kiosk_mkt
    33.3%

activity window

first sale
2025-05-17 00:00:00 UTC
last activity
2026-05-30 08:35:52 UTC

holder whale-map current holders

top 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. 564 holders across 1,393 traded NFTs.

0x3045c…27bfe · automation bot — 39 NFTs · click to explore0x3045c…27bfe0xd2420…071d6 · 36 held — 36 NFTs · click to explore0xd2420…071d60x7caf9…92647 · 32 held — 32 NFTs · click to explore0x7caf9…9…0xd9db7…c9f35 · 31 held — 31 NFTs · click to explore0xd9db7…c9f350xe256a…a74c0 · 30 held — 30 NFTs · click to explore0xe256a…a74c00x788fb…568d8 · 27 held — 27 NFTs · click to explore0x788fb…568d80xe3bdd…76cd1 · suspected wash — 25 NFTs · click to explore0xe3bdd…76cd10x65c9a…bb180 · 25 held — 25 NFTs · click to explore0x65c9a……0x4fee3…4aa82 · 22 held — 22 NFTs · click to explore0x4fee3…4…0x32696…aa773 · 22 held — 22 NFTs · click to explore0x32696…a…0x847a1…3c113 · 21 held — 21 NFTs · click to explore0x847a1……0x97bc4…4ebb0 · 20 held — 20 NFTs · click to explore0x97bc4…4e…0x10eef…29f8b · 20 held — 20 NFTs · click to explore0x10eef…29…0x2e52c…3d479 · 19 held — 19 NFTs · click to explore0x2e52c…3d4790xb401f…eb7dc · automation bot — 18 NFTs · click to explore0xb401f…eb7…0xacdea…260ed · automation bot — 16 NFTs · click to explore0xacdea…260…0xcb701…6e393 · 16 held — 16 NFTs · click to explore0xcb701…6e3930x4f210…f63df · 15 held — 15 NFTs · click to explore0x4f210…f63df0x508d9…18d9d · 14 held — 14 NFTs · click to explore0x33f1c…e28dd · 14 held — 14 NFTs · click to explore0x33f1c…e28d…0x52d87…933cf · 13 held — 13 NFTs · click to explore0x52d87…933c…0x220ac…7121a · automation bot — 12 NFTs · click to explore0x220ac…0x1ecc6…00dd3 · 12 held — 12 NFTs · click to explore0x1ecc6…0x07605…039cb · 10 held — 10 NFTs · click to explore0x07605……0x92cbb…42cfd · automation bot — 8 NFTs · click to explore0x5552f…c8fb1 · 8 held — 8 NFTs · click to explore0xd4062…1979e · 8 held — 8 NFTs · click to explore0xd092a…4d065 · 8 held — 8 NFTs · click to explore0x72691…2d6ac · automation bot — 7 NFTs · click to explore0x4115a…66821 · 7 held — 7 NFTs · click to explore0x7116e…c08df · 7 held — 7 NFTs · click to explore0xe20b8…12800 · automation bot — 6 NFTs · click to explore0xb1f66…f0ee7 · 6 held — 6 NFTs · click to explore0x75902…ef52c · 6 held — 6 NFTs · click to explore0x416bd…d822c · 6 held — 6 NFTs · click to explore0xda243…c338c · 6 held — 6 NFTs · click to explore0xe34c1…1fa0e · 6 held — 6 NFTs · click to explore0x37255…b73d0 · 6 held — 6 NFTs · click to explore0x37255…b73…0x5be07…3059e · 6 held — 6 NFTs · click to explore0xb0b31…b9101 · 5 held — 5 NFTs · click to explore

Holder = latest buyer per NFT. Traded NFTs only.

holder accumulation ribbon all-time

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 29 weeks.

0x3045c8211f93c914fec3edb6799b7a27f52dfd32819e6a8c9ed0de283c927bfe — 39 NFTs (net market position)0x4fee3d21381aaf2ab72c28b722a03719b6276d2afb934f2bf2f42a5eb664aa82 — 37 NFTs (net market position)0xd2420ad33ab5e422becf2fa0e607e1dde978197905b87d070da9ffab819071d6 — 36 NFTs (net market position)0x7caf900109bd4e9cb18209feaed67c11c57340876b26cf441c51699e69092647 — 32 NFTs (net market position)0xd9db790dc9300c11d51d6a60659d8733c5c3f8eed44a1599e8d7990b7a2c9f35 — 31 NFTs (net market position)0xe256ac2ea737d588fba9a49e89e0cdb2f6fbe0cf13c5fadf4125acebcb0a74c0 — 30 NFTs (net market position)0x788fbe3e6e6b5ee095fbbe78715f8b61727e56a4d1eac249ab541503002568d8 — 27 NFTs (net market position)0xe3bdd06764678ee1f1684311226cc6644d7f2a26492c4feba25ea381c6876cd1 — 26 NFTs (net market position)0x65c9a3ac0be6593e88a55092ccb2d409dfd7134a69471ecc9b226f35f47bb180 — 25 NFTs (net market position)0x847a156d731c98d2d81cc72b478757583f890af828343f4e3ab5f3d54dd3c113 — 22 NFTs (net market position)0x326962370c3d2bc671a864dbe00b1dd2c1614c2e91ffbabce49202ed013aa773 — 22 NFTs (net market position)0x10eefc7a3070baa5d72f602a0c89d7b1cb2fcc0b101cf55e6a70e3edb6229f8b — 20 NFTs (net market position)May '25Jun '25Aug '25Oct '25Apr '26

Cumulative buys − sells, weekly. Market-acquired position only — excludes mints/airdrops/transfers, so the floor is clamped at 0.

mint-snipe timeline launch window

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.

120 launch-window saleswindow 5.3h1 sniper-flip
0.70250s1.3h2.7h5.3hSUI0s after launch · 3.09 SUI · kiosk_mkt52m after launch · 3.09 SUI · kiosk_mkt52m after launch · 3.09 SUI · kiosk_mkt52m after launch · 0.90 SUI · kiosk_mkt1.1h after launch · 5.15 SUI · kiosk_mkt1.2h after launch · 3.31 SUI · kiosk_mkt1.4h after launch · 5.15 SUI · kiosk_mkt2.2h after launch · 2.62 SUI · kiosk_mkt2.3h after launch · 2.63 SUI · kiosk_mkt2.3h after launch · 3.05 SUI · kiosk_mkt2.3h after launch · 3.05 SUI · kiosk_mkt2.3h after launch · 2.58 SUI · kiosk_mkt2.4h after launch · 0.70 SUI · kiosk_mkt2.4h after launch · 0.70 SUI · kiosk_mkt2.4h after launch · 2.58 SUI · kiosk_mkt2.5h after launch · 2.78 SUI · kiosk_mkt2.5h after launch · 2.06 SUI · kiosk_mkt2.5h after launch · 3.09 SUI · kiosk_mkt2.5h after launch · 2.27 SUI · kiosk_mkt2.6h after launch · 3.09 SUI · kiosk_mkt2.7h after launch · 2.56 SUI · kiosk_mkt2.7h after launch · 5.15 SUI · kiosk_mkt2.7h after launch · 3.09 SUI · kiosk_mkt2.8h after launch · 1.28 SUI · kiosk_mkt · SNIPER (bought + flipped <1h)2.8h after launch · 1.25 SUI · kiosk_mkt2.8h after launch · 1.20 SUI · kiosk_mkt2.8h after launch · 2.58 SUI · kiosk_mkt2.9h after launch · 2.47 SUI · kiosk_mkt2.9h after launch · 2.06 SUI · kiosk_mkt3.2h after launch · 2.05 SUI · kiosk_mkt3.2h after launch · 2.00 SUI · kiosk_mkt3.2h after launch · 2.05 SUI · kiosk_mkt3.2h after launch · 2.05 SUI · kiosk_mkt3.2h after launch · 2.05 SUI · kiosk_mkt3.2h after launch · 1.96 SUI · kiosk_mkt3.2h after launch · 5.15 SUI · kiosk_mkt3.3h after launch · 3.09 SUI · kiosk_mkt3.3h after launch · 1.96 SUI · kiosk_mkt3.3h after launch · 3.09 SUI · kiosk_mkt3.3h after launch · 2.06 SUI · kiosk_mkt3.3h after launch · 2.07 SUI · kiosk_mkt3.5h after launch · 3.34 SUI · kiosk_mkt3.5h after launch · 5.14 SUI · kiosk_mkt3.5h after launch · 2.47 SUI · kiosk_mkt3.5h after launch · 2.27 SUI · kiosk_mkt3.5h after launch · 2.83 SUI · kiosk_mkt3.5h after launch · 4.83 SUI · kiosk_mkt3.5h after launch · 4.11 SUI · kiosk_mkt3.5h after launch · 5.15 SUI · kiosk_mkt3.5h after launch · 5.46 SUI · kiosk_mkt3.6h after launch · 2.16 SUI · kiosk_mkt3.6h after launch · 2.16 SUI · kiosk_mkt3.6h after launch · 3.08 SUI · kiosk_mkt3.7h after launch · 2.28 SUI · kiosk_mkt3.8h after launch · 2.32 SUI · kiosk_mkt3.8h after launch · 2.47 SUI · kiosk_mkt3.8h after launch · 2.47 SUI · kiosk_mkt3.8h after launch · 2.47 SUI · kiosk_mkt3.8h after launch · 2.47 SUI · kiosk_mkt3.8h after launch · 2.47 SUI · kiosk_mkt3.8h after launch · 2.47 SUI · kiosk_mkt3.8h after launch · 2.47 SUI · kiosk_mkt3.8h after launch · 3.39 SUI · kiosk_mkt3.8h after launch · 3.09 SUI · kiosk_mkt3.9h after launch · 2.51 SUI · kiosk_mkt4.0h after launch · 1.50 SUI · kiosk_mkt4.0h after launch · 1.50 SUI · kiosk_mkt4.0h after launch · 1.50 SUI · kiosk_mkt4.1h after launch · 2.52 SUI · kiosk_mkt4.1h after launch · 2.58 SUI · kiosk_mkt4.1h after launch · 3.01 SUI · kiosk_mkt4.1h after launch · 3.09 SUI · kiosk_mkt4.1h after launch · 3.08 SUI · kiosk_mkt4.2h after launch · 3.09 SUI · kiosk_mkt4.3h after launch · 2.74 SUI · kiosk_mkt4.4h after launch · 4.11 SUI · kiosk_mkt4.6h after launch · 1.50 SUI · kiosk_mkt · bot 0.804.6h after launch · 1.50 SUI · kiosk_mkt · bot 0.804.6h after launch · 1.50 SUI · kiosk_mkt · bot 0.804.6h after launch · 1.50 SUI · kiosk_mkt4.6h after launch · 1.50 SUI · kiosk_mkt4.6h after launch · 2.83 SUI · kiosk_mkt4.8h after launch · 2.55 SUI · kiosk_mkt4.8h after launch · 3.09 SUI · kiosk_mkt4.8h after launch · 2.55 SUI · kiosk_mkt5.0h after launch · 2.55 SUI · kiosk_mkt5.0h after launch · 3.09 SUI · kiosk_mkt5.1h after launch · 3.08 SUI · kiosk_mkt5.1h after launch · 2.37 SUI · kiosk_mkt5.1h after launch · 2.58 SUI · kiosk_mkt5.1h after launch · 2.37 SUI · kiosk_mkt5.1h after launch · 2.56 SUI · kiosk_mkt5.1h after launch · 2.56 SUI · kiosk_mkt5.1h after launch · 2.56 SUI · kiosk_mkt5.1h after launch · 2.58 SUI · kiosk_mkt5.1h after launch · 2.36 SUI · kiosk_mkt5.1h after launch · 2.37 SUI · kiosk_mkt5.1h after launch · 2.37 SUI · kiosk_mkt5.1h after launch · 2.58 SUI · kiosk_mkt5.1h after launch · 3.09 SUI · kiosk_mkt5.1h after launch · 2.88 SUI · kiosk_mkt5.1h after launch · 2.78 SUI · kiosk_mkt5.1h after launch · 3.09 SUI · kiosk_mkt5.1h after launch · 3.09 SUI · kiosk_mkt5.1h after launch · 3.09 SUI · kiosk_mkt5.1h after launch · 3.01 SUI · kiosk_mkt5.1h after launch · 3.08 SUI · kiosk_mkt5.1h after launch · 2.87 SUI · kiosk_mkt5.1h after launch · 3.09 SUI · kiosk_mkt5.1h after launch · 2.68 SUI · kiosk_mkt5.3h after launch · 3.09 SUI · kiosk_mkt5.3h after launch · 3.09 SUI · kiosk_mkt5.3h after launch · 3.09 SUI · kiosk_mkt5.3h after launch · 3.09 SUI · kiosk_mkt5.3h after launch · 3.09 SUI · kiosk_mkt5.3h after launch · 3.09 SUI · kiosk_mkt5.3h after launch · 3.09 SUI · kiosk_mkt5.3h after launch · 3.09 SUI · kiosk_mkt5.3h after launch · 3.09 SUI · kiosk_mkt5.3h after launch · 3.09 SUI · kiosk_mkt

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.

shared user base all-time

collections most-bought by this collection's 898 buyers — its overlapping communities / gravity centers. Bar = shared buyers; % = share of this collection's buyer base.

Buyer-set overlap — a proxy for shared collectors, not on-chain co-custody.

trait-premium heatmap all-time

each cell is a trait value, colored by its median sale price vs the collection median (7.35 SUI) — green = premium, rose = discount. Traits ranked by how much their best value beats the floor. Reveals which traits actually drive value.

Clothes
QVRO36063.2×
WHWY41312.5×
XTDG54271.9×
HRRT23031.8×
ESQL96481.8×
APRL16931.8×
JJDD09361.7×
ENNN59721.7×
XBOB25111.7×
WGTD52091.7×
LJJG10461.7×
TAXP46741.7×
XMJZ43521.7×
LTON11291.7×
MXYA90621.7×
PVVB69941.7×
UZJX26661.6×
EQIH43111.5×
WFWB62221.5×
MCSW70191.5×
HCOO07901.5×
TOAV09621.4×
DOVX62331.4×
KYWS45331.4×
TSHF64081.4×
Hats
MBWM07531.7×
AVEZ74851.7×
FRIH01671.6×
BDHS65541.5×
OPXK31401.4×
ILLV31241.3×
FRZP08211.2×
EETN78161.2×
UQED75541.1×
QWNT59371.1×
IKSH12701.1×
IZIB97980.92×
BGRH40960.84×
TBXA77350.77×
QWWR42460.71×
XUEY57930.71×
OOQG60930.70×
VOOL10940.70×
XKEC63380.70×
RXOB44690.69×
UNUZ52800.63×
VFOK33600.62×
Backgrounds
KXJK01741.2×
PBGN25791.1×
RNML87801.1×
JXCY44310.91×
XFYI42360.84×
Glasses
MOWB56811.2×
PUOX76640.84×
Base
COPD15131.0×
Swords
HMLB69130.74×

Median sale price per trait value (≥5 sales each).

trait-floor heatmap active

each cell is the cheapest CURRENTLY-listed NFT carrying that trait — brighter = pricier floorvs the collection's cheapest trait. The live-market mirror of trait premiums (settled sales). Cells with < 3 listings are greyed — too thin to trust the floor.

Clothes
UZJX2666412 · 1
NCLS5765352 · 1
QVRO3606212 · 2
EQIH4311155 · 2
WHWY4131100 · 1
MGWK317464 · 1
DXGP678252 · 3
IBEX965952 · 1
HRRT230342 · 1
WNPQ379332 · 4
SKAH435031 · 1
DKMN559722 · 2
CAFN633115 · 3
WQIU351514 · 4
TCDF100113 · 3
ENNN597213 · 3
UOPY760613 · 3
TOAV096213 · 2
NAZS697613 · 1
NUKR681913 · 1
XTDG542713 · 1
PVVB699412 · 4
TAXP467412 · 4
KRJM736010 · 5
MCSW701910 · 2
Hats
AVEZ748518 · 9
OOQG609313 · 8
EETN781613 · 8
XKEC633813 · 5
FRIH016713 · 5
ILLV31248.0 · 6
MBWM07536.2 · 10
OPXK31404.6 · 8
QWNT59374.6 · 11
VFOK33604.3 · 9
IZIB97984.1 · 9
QWWR42463.1 · 8
VOOL10942.9 · 12
IKSH12702.9 · 7
UQED75542.7 · 11
FRZP08212.7 · 6
RXOB44692.7 · 9
BGRH40962.6 · 13
TBXA77352.6 · 7
XUEY57932.5 · 12
UNUZ52802.5 · 7
BDHS65542.0 · 11
Backgrounds
KXJK01742.7 · 43
RNML87802.7 · 37
XFYI42362.6 · 38
JXCY44312.5 · 41
PBGN25792.0 · 32
Swords
HMLB69132.7 · 35
Glasses
PUOX76642.5 · 43
MOWB56812.5 · 53
Base
COPD15132.0 · 191

Floor SUI · # listed, per trait value. Validated active listings only.

most-traded NFTs all-time

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.

Top 20 NFTs by sale count.

money trail — shared funders of buyers all-time

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. 898 total buyers.

funder 0x61d8705892634becd261eef4d43fbcc4ade409bb00a981e3b54eb8ed01ee224e — seeded 1315 buyers of this collection0x61d87…e224e · 1315funder 0x281d0d96282a1f89def76b1cdfff91d780cfd7096f5d871225b541ce40c94996 — seeded 657 buyers of this collection0x281d0…94996 · 657funder 0xe327fdb40a9d7115a499bb001d7a4e831af89cd7ecbbed8aec1c8d711901bd77 — seeded 484 buyers of this collection0xe327f…1bd77 · 484funder 0x3e393c6cd816bf5a7fa2c1748edf95dbf846be052d6f337a74ae9e7d569233b8 — seeded 397 buyers of this collection0x3e393…233b8 · 397funder 0xca068994772720e299e3300ab9e77bb71c8fb943d436764fa37136458b2145d6 — seeded 365 buyers of this collection0xca068…145d6 · 365funder 0xa7fbe48c89c2fbe3d7deff633125d62e4a8fde1741998c3e8144f203749ea7c6 — seeded 347 buyers of this collection0xa7fbe…ea7c6 · 347funder 0xd24abdf79f46b33fa6bf24ae8f7bad4994f44b9207c42186f49243627d743ff7 — seeded 326 buyers of this collection0xd24ab…43ff7 · 326funder 0x3e3bb82bf196ddb8ca68b0a112f98f1f192dcf5978d26cf01f08cdda5c96ecd3 — seeded 319 buyers of this collection0x3e3bb…6ecd3 · 319buyer 0x002a033a4712d434cfae730c3c7fcf53f57dcaacf3d3ee456bdd8203054b4c4fbuyer 0x002a033a4712d434cfae730c3c7fcf53f57dcaacf3d3ee456bdd8203054b4c4fbuyer 0x002a033a4712d434cfae730c3c7fcf53f57dcaacf3d3ee456bdd8203054b4c4fbuyer 0x005e42a9e212bb4c719a04879e4765a5f0a34dfc0cbc814c66c749cb5184117bbuyer 0x005e42a9e212bb4c719a04879e4765a5f0a34dfc0cbc814c66c749cb5184117bbuyer 0x005e42a9e212bb4c719a04879e4765a5f0a34dfc0cbc814c66c749cb5184117bbuyer 0x002a033a4712d434cfae730c3c7fcf53f57dcaacf3d3ee456bdd8203054b4c4fbuyer 0x002a033a4712d434cfae730c3c7fcf53f57dcaacf3d3ee456bdd8203054b4c4fbuyer 0x005e42a9e212bb4c719a04879e4765a5f0a34dfc0cbc814c66c749cb5184117bbuyer 0x0286e661e867e766c390a88e38d80dcd426059efbafcc41796c3f2a1e540cc67buyer 0x0343ac8cc642e7a5861dfc422dc065b7060232d26ea740161b61c8704b22b703buyer 0x0343ac8cc642e7a5861dfc422dc065b7060232d26ea740161b61c8704b22b703buyer 0x005e42a9e212bb4c719a04879e4765a5f0a34dfc0cbc814c66c749cb5184117bbuyer 0x00648c82d15a75306a6fcabb3d9d5302ea7ca4f60795eebe6a7dd66b4a71bba3buyer 0x00f3c3d341a503d11fb70924e42aee6655d41decc7231b781e19e12f12c33fb9buyer 0x01005dab3dd4a8f3c971d417c68b58f0e045293823c838c8b9be11ccfc5e9fe4buyer 0x02472f5677801e87c1458d3e70cac8c9c7fb5e692d5f1db6b4768f81e6731b83buyer 0x0286e661e867e766c390a88e38d80dcd426059efbafcc41796c3f2a1e540cc67buyer 0x005e42a9e212bb4c719a04879e4765a5f0a34dfc0cbc814c66c749cb5184117bbuyer 0x00f3c3d341a503d11fb70924e42aee6655d41decc7231b781e19e12f12c33fb9buyer 0x01005dab3dd4a8f3c971d417c68b58f0e045293823c838c8b9be11ccfc5e9fe4buyer 0x02472f5677801e87c1458d3e70cac8c9c7fb5e692d5f1db6b4768f81e6731b83buyer 0x0286e661e867e766c390a88e38d80dcd426059efbafcc41796c3f2a1e540cc67buyer 0x0343ac8cc642e7a5861dfc422dc065b7060232d26ea740161b61c8704b22b703buyer 0x00f3c3d341a503d11fb70924e42aee6655d41decc7231b781e19e12f12c33fb9buyer 0x01005dab3dd4a8f3c971d417c68b58f0e045293823c838c8b9be11ccfc5e9fe4buyer 0x02472f5677801e87c1458d3e70cac8c9c7fb5e692d5f1db6b4768f81e6731b83buyer 0x0286e661e867e766c390a88e38d80dcd426059efbafcc41796c3f2a1e540cc67buyer 0x0343ac8cc642e7a5861dfc422dc065b7060232d26ea740161b61c8704b22b703buyer 0x037751cd6e296dd1aa23552ba00fbf804a69c8a27c6c4cd04a3252f8809b7dcbbuyer 0x002a033a4712d434cfae730c3c7fcf53f57dcaacf3d3ee456bdd8203054b4c4fbuyer 0x02472f5677801e87c1458d3e70cac8c9c7fb5e692d5f1db6b4768f81e6731b83buyer 0x0286e661e867e766c390a88e38d80dcd426059efbafcc41796c3f2a1e540cc67buyer 0x0343ac8cc642e7a5861dfc422dc065b7060232d26ea740161b61c8704b22b703buyer 0x037751cd6e296dd1aa23552ba00fbf804a69c8a27c6c4cd04a3252f8809b7dcbbuyer 0x0452d765dc07f1c4368f6a887dbd1425a92cd3a7ca479b90749b1114e6d9ae2abuyer 0x0075987240eb15f27babf6d0a40222b1bc9130cfecf83747e566af9c400decb9buyer 0x00f3c3d341a503d11fb70924e42aee6655d41decc7231b781e19e12f12c33fb9buyer 0x01005dab3dd4a8f3c971d417c68b58f0e045293823c838c8b9be11ccfc5e9fe4buyer 0x02472f5677801e87c1458d3e70cac8c9c7fb5e692d5f1db6b4768f81e6731b83buyer 0x0286e661e867e766c390a88e38d80dcd426059efbafcc41796c3f2a1e540cc67buyer 0x0343ac8cc642e7a5861dfc422dc065b7060232d26ea740161b61c8704b22b703buyer 0x002a033a4712d434cfae730c3c7fcf53f57dcaacf3d3ee456bdd8203054b4c4fbuyer 0x002a033a4712d434cfae730c3c7fcf53f57dcaacf3d3ee456bdd8203054b4c4fbuyer 0x002a033a4712d434cfae730c3c7fcf53f57dcaacf3d3ee456bdd8203054b4c4fbuyer 0x002a033a4712d434cfae730c3c7fcf53f57dcaacf3d3ee456bdd8203054b4c4fbuyer 0x002a033a4712d434cfae730c3c7fcf53f57dcaacf3d3ee456bdd8203054b4c4fbuyer 0x002a033a4712d434cfae730c3c7fcf53f57dcaacf3d3ee456bdd8203054b4c4f0x0081dfde5fd50f02357ed690459086a6e6890683a921ee19f136ec1a95f30068::ikachan::NftIkachan

Traces the first SUI funder of each buyer.

wash-trade ring — fake volume all-time

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. 4 NFTs round-tripped in this collection.

Round-trips where the same NFT returns to a prior seller.

first-week movers — who loaded early and flipped first 7d

Top 25 first-week buyers netted 3,770 SUI flipping in.

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).