The Polymarket smart money tracker.

Polymarket smart money is the population of wallets whose resolved trade history demonstrates genuine, repeatable edge. Smart money is not the same as whale size, follower count, or trading volume. It is a skill classification computed from settled positions, and it is the most reliable basis for copy-trading on prediction markets.

How smart money is defined on Rivo

Rivo does not reduce smart money to one arbitrary cutoff. The ranking combines the record Rivo has observed with venue-reported profit and volume where available, then gives users the wins, losses, notional, recent activity, and trade history needed to judge the ranking for themselves.

The category-specific requirement is important. Many Polymarket wallets show strong overall returns that are driven entirely by a single early position in one category. Treating that wallet as smart money in unrelated categories produces consistently bad results. For a deeper look at the category transfer problem, see our article on where whales win the most.

The smart money analyzer pipeline

The analyzer combines the resolved-trade history Rivo has observed with venue-reported trader statistics where they are available. Traders can be sorted by profit or copy quality, while separate winner and loser views show the settled trades behind the headline record.

Rankings change as new activity and resolutions arrive. A trader profile keeps the observed record visible, including recent positions and settled outcomes, so a user can see whether an apparent edge is current, deep enough to matter, and relevant to the market being considered.

Following smart money in real time

Smart money classification is only useful if you can react to a flagged wallet's new positions before the market reprices. Rivo monitors every smart-money wallet in the live trade feed and produces an alert at the moment of execution. The alert includes the wallet's resolved win rate, its category-specific track record, and the size and direction of the new position.

For copy-traders, the critical decision is whether the new position falls within the wallet's strong category. A wallet with a 75 percent resolved win rate in political contracts is a much weaker signal when it takes a position in a sports market for the first time. The Rivo alert exposes the category breakdown directly in the notification so the decision can be made in seconds.

Smart money versus whale tracking

Whale tracking and smart-money tracking are complementary, not interchangeable. The whale tracker identifies large opening positions regardless of who placed them; many whale trades come from wallets with no resolved history at all. The smart-money tracker identifies skilled wallets regardless of position size; many smart-money trades fall below the whale threshold and would not appear in a size-only feed.

The intersection of the two, large positions placed by wallets with strong resolved track records, is the highest-signal subset of activity on Polymarket and Kalshi. That intersection is what the Rivo alert pipeline surfaces first. For the underlying whale infrastructure that feeds the intersection, see the Polymarket whale tracker page.

Smart money on Kalshi

Kalshi is regulated as a CFTC-supervised designated contract market, which changes the composition of the trader pool. The Kalshi population includes a higher proportion of institutional and semi-professional participants compared to Polymarket, and the smart- money classification on Kalshi often surfaces category specialists with backgrounds in the relevant domain. Rivo applies the same resolved-PnL methodology to both platforms, which makes the smart- money lists directly comparable.

Public PnL leaderboards

The resolved-PnL data underlying the smart-money classification is partly public. The all-time wins leaderboard and all-time losses leaderboard surface ranked trade outcomes across the full resolved sample. The smart-money wallet ranking itself, with live positions, is gated behind a Rivo account.

What to read next

For the copy-trading framework that operationalizes smart-money signal, see our copy-trading prediction markets guide. For the specific question of whether large traders actually make money, see our article on whether Polymarket whales are profitable.

Backtesting whale activity with strategies

The standard advice in prediction markets is to follow the smart money. It does not say which smart money. Large positions on heavy favourites resolve correctly most of the time and return very little per dollar staked; large positions on longshots lose far more often and pay multiples when they land. Politics, sports and crypto markets behave differently again. Which of those is worth copying is an empirical question, and tracking trades as they happen does not answer it.

A Rivo strategy is that question stated as a rule and answered against data. A rule might read: entry price under 20 cents, trade size over $10,000, new positions only. Every whale trade satisfying it is recorded, and scored win or loss once the underlying market resolves.

A strategy can be tested against history and run forward at the same time. On creation it optionally claims every qualifying trade from the preceding 90 days, most of which sit in markets that have already resolved, so the strategy carries a settled record immediately rather than accumulating one over a season. From that point it also claims new qualifying trades as they print. Positions in markets that are still open are priced against current odds and marked as unrealised; they are reported separately from settled results, and are never blended into a single figure.

Criteria can constrain category, sports league, trade size, the entry price band, the position type (a new position, an addition to an existing one, or a reversal), and free text matched against the market title. Specific markets can also be followed directly, in which case their whale trades join the strategy whether or not they satisfy the other criteria.

Each recorded trade stores the side, entry price and size at the moment it printed, so a strategy's history stays reproducible. Open positions are marked against current odds; settled positions are scored win or loss against the market's resolution. A stake is set per strategy or per trade, so the reported return reflects the size you would have taken rather than the size the whale took, which keeps two strategies comparable instead of dominated by whichever caught the largest single position.

Every strategy reports its own win rate, realized return, open exposure and a cumulative return curve. All figures are paper results that assume a fill at the whale's entry price, and are not investment advice.

Frequently asked questions