Whale tracker: the largest Polymarket trades and crypto prints, live

What counts as a whale here

There is no agreed definition, so Vultax uses a stated one: the Polymarket table filters to trades above a published dollar threshold, and prints that threshold in the coverage line above the table along with the oldest trade in the sample. If the threshold changes, the line changes with it. A tool that says 'whale' without saying how big is describing a feeling.

The crypto tables use a separate threshold and a separate lookback, both printed with them, because a large trade on a spot exchange and a large trade on a prediction market are not the same size of thing.

What a large trade does and does not tell you

It tells you that a specific amount of money took a specific side at a specific price at a specific time. That is genuinely useful: it is a fact, it is early, and it is not somebody's opinion about the market.

It does not tell you who traded, why, or whether they were right. A large buy can be a hedge against a position somewhere else, a market maker balancing inventory, or a mistake. Public aliases and wallet addresses do not establish identity, and Vultax does not attempt to attach a name to one. Read the print, then look for a second reason.

Sampling, and why an empty table is not silence

Public trade endpoints return capped recent samples rather than a complete tape. The table shows the largest prints in what was returned, so an empty result means the sample contained nothing above the threshold — not that no large trade occurred. The coverage line and the per-venue counts underneath make the size of the sample visible instead of leaving you to assume it was everything.

Crypto whale figures are collected on their own schedule and can go stale independently of the prediction-market ones. Each table carries its own status and reason, and marks itself stale rather than quietly ageing.

How to read a single print

Start with the outcome, not the dollar amount. A hundred-thousand-dollar buy of one side is the same trade as a hundred-thousand-dollar sale of the other, and a feed that reports only notional and direction makes those look different. The rows here name the market, the side taken and the outcome bought, which is enough to reconstruct what the trader actually did.

Then read the price. A large buy at eighty-five cents is a bet on something the market already expects, and it risks a lot to make a little; the same money at fifteen is the opposite trade with the opposite risk. Size alone tells you how much conviction was expressed. Size with price tells you what kind.

Then read the clock. A print immediately after a scheduled release is a different event from one in a quiet hour, and the news index on this site carries publication times you can line up against it. Timing is suggestive and no more: two things happening in the same minute is the weakest form of evidence there is, and it is the form most often presented as insight.

Prediction-market whales and crypto whales are not the same animal

On a prediction market, a large trade is a stated opinion with a deadline. The contract resolves, and whoever was wrong loses the whole position rather than a percentage of it. That makes size meaningful in a way it is not on a spot exchange, where a large print may be a market maker passing inventory from one hand to another and expressing no view at all.

It also makes the population different. Polymarket flow is public at the wallet level because positions settle on a public chain, so the same trade can be followed to a trader and, over time, to a record. Crypto exchange prints are venue-side: you see that somebody bought, not who, and an exchange print cannot be matched to an on-chain wallet.

That is why the two are on one page but in separate tables with separate thresholds and separate coverage notes. Merging them into a single feed would produce a stream where the same word meant two different things.