CoinmicoCoinmico

Whale tracker

Who is actually moving size on-chain. Every trade behind these rankings was decoded by our own chain indexers and tied to the address that signed it, so the page describes trading we watched — not balances, and not anyone's identity.

Attributed volume (24h)
$71.97M
10,569 swaps tied to a signer
Wallets tracked
2,823
3 held back as automated
Largest trade (24h)
$2.39M
Single swap, priced on our index
Tracking since
Sep 1, 2026
1 day of attribution

How soon a wallet bought after a pool opened, how often it did that, and what those early positions returned once they were closed.

#WalletEarly scoreEarly buys
10x66C7…Cd37
Base
531
20x0E18…3a58
BNB Chain
521
30xa690…e362
Base
511
40xBe9b…b46a
BNB Chain
491
50xa29a…89f5
BNB Chain
491
60x15d3…99C5
Arbitrum
471
70xAa6b…FDB0
Arbitrum
471
80x636C…D109
Arbitrum
471
90x476F…CD6f
Base
431
100xC19e…00fB
BNB Chain
421
110x763c…612c
ArbitrumBase
421
120x3e25…94B1
Base
421
130x291d…2c38
Base
421
140xf2Ba…eA0F
Base
421
150xf9e8…6b76
Base
421
160xcE9D…2706
Base
411
170xD1F2…27FC
Base
411
180x4732…03EE
Base
411
190xB8cd…0db9
Base
411
200xEeC1…3E06
Base
411
210xabb2…cd10
BaseBNB ChainEthereum
401
220xD295…8117
BNB Chain
401
230xadA5…F7CB
BaseBNB Chain
401
240x8843…12E6
BNB ChainOP Mainnet
401
250x689A…B593
BNB Chain
401
260x1F77…6878
BNB Chain
401
270xB58D…7Da5
BNB Chain
401
280x7116…9C82
Arbitrum
391
290xC6bf…dab9
BNB Chain
391
300xb70C…1B6B
Arbitrum
381
310xFbBA…8958
Arbitrum
381
320x0AED…E180
Arbitrum
381
330x07CE…0C45
Arbitrum
381
340xDCC4…2436
Arbitrum
381
350x879c…F227
Arbitrum
381
360x25E6…478b
BNB Chain
381
370x9913…03b3
Arbitrum
381
380x16bF…23a9
Arbitrum
381
390xA552…405B
Arbitrum
381
400x8380…009E
Base
371
410xc210…68FC
ArbitrumBase
361
420x5700…63cf
Arbitrum
361
430xc358…D3a8
Base
361
440xa24D…990c
Arbitrum
361
450x8C8a…B611
Arbitrum
361
460xB12c…F48f
Base
361
470x9Cc9…775e
Base
361
480x399B…c2d6
Arbitrum
361
490x741b…914f
Arbitrum
361
500x99b7…623c
Base
361

Large trades

≥ $10K · last 24 hours

How these scores are measured

Our indexers decode swaps on the pools we watch across the chains we run nodes against, price each one on our own index, and — above a $1,000 floor — resolve the wallet that signed the transaction rather than the router that appears in the log. Those trades are folded into a position per wallet and asset every five minutes: what was bought, what was sold, and the profit realised on the part that closed, valued at average cost.

The whale score weighs the size a wallet moved in thirty days (60%), how regularly it traded (25%) and how many assets it spread that across (15%). The early entry score weighs how soon after a pool opened the wallet bought (50%), how many times it did that (30%) and what those early positions returned (20%). A buy within an hour of a pool opening counts as an early entry.

What this is not. We cannot see exchange fills, transfers or bridges, so a wallet's real profit and its holdings are outside what we measure — only trades we observed are counted. Early timing is only shown for pools whose creation we witnessed; for anything older the answer stays a dash rather than a guess. And a high score is behaviour, not proof of anything: an address may be a market maker, a bot, a deployer or an exchange. We keep automatically trading wallets in the data but hold them out of the rankings, with the reason recorded, instead of deleting them quietly.