Whale tracker

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.