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The real-time Kalshi whale tracker.

Every large opening position on Kalshi, surfaced in real time with trader history, market context, and resolved PnL. The first whale tracker built for copy trading the largest regulated US prediction market, with the same depth as our Polymarket coverage.

Yesterday's biggest wins

September 6, 2026

Real whale entries whose markets resolved. Members saw every one of these the moment it hit the tape, not a day later.

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    Will Manchester United FC win on 2026-09-06?

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A Kalshi whale tracker is a system that monitors the Kalshi event-contract trade feed and surfaces large opening positions in real time. Kalshi is the largest regulated US prediction market, and its whale activity is a meaningful but historically under-tracked signal for political, macro, and sports markets. Rivo runs a dedicated Kalshi ingestion path that feeds the same terminal, trader-record, alert, execution, and paper-strategy surfaces as Polymarket.

Why Kalshi whales matter

Kalshi operates as a CFTC-supervised designated contract market. The regulatory perimeter changes the composition of the trader pool relative to Polymarket. Kalshi participants are subject to know-your-customer requirements, which raises the floor on participant sophistication and reduces the volume of fully anonymous activity. Whales on Kalshi are more likely to be semi-professional traders, hedge-fund prop desks, or institutional accounts placing macro hedges.

The practical consequence is that Kalshi whale activity tends to be a cleaner read on consensus institutional positioning. The Polymarket whale feed surfaces a wider mix, including high-conviction degens, fresh wallets, and insider-suspect positions. Both signals are useful, but they are different signals, which is why a cross-venue feed is more informative than either one alone.

How the Kalshi whale tracker works

Rivo monitors live trade activity across every active Kalshi event contract and picks out the positions that actually matter. Routine market-maker flow, exits, small trades, and activity on markets that are already effectively decided are all filtered out, so the feed only shows meaningful new positioning.

Each qualifying trade is enriched with market context: the contract, its category, the current price, and trader history where available. The result flows into the same live feed, follow system, and strategy matcher as our Polymarket coverage, so both venues read as one stream.

You do not have to be awake to take the trade.

Autopilot copies entries within seconds of the trader, through your own prediction market accounts, inside a per-trade and per-day ceiling you set. Live on Kalshi today, Polymarket coming soon.

How autopilot works

Test a rule against Kalshi history before you follow it.

Write a rule, like whale trades under 20¢ over $10K, and score it against markets that already resolved. Our longshot rule went 105 wins and 345 losses and still returned +67.5%, staking $100 a trade. You would not guess that from a feed.

Build a strategy

Cross-venue comparison

The terminal makes activity from both venues available in one workspace. That lets a trader compare price, size, market context, and the record of the person behind a trade without treating superficially similar contracts as automatically identical or promising an arbitrage that may not exist.

For the underlying analysis of how Kalshi and Polymarket whales differ in composition, sizing, and category exposure, see our article on Polymarket vs Kalshi whales.

Size is not the only thing worth watching

This tracker ranks Kalshi activity by size. Size is the cleanest signal to act on, but it is not the only one: a modest position can be the most unusual thing a quiet market has seen all week, and the largest ticket in a heavily traded contract is often just an ordinary participant. Trades that stand out for fit rather than for size are covered on the Kalshi insider trading tracker.

Ask Claude or ChatGPT to find you a strategy.

Plug Rivo in and ask in plain English. Your AI tests hundreds of rules against trades that already settled, checks which held up on data they were never tuned on, and tells you in a sentence. No code, nothing to install.

See how

Public surfaces for Kalshi whale activity

The same public surfaces that cover Polymarket whale activity cover Kalshi.

The live Kalshi whale feed itself is gated behind a Rivo account. Feed access requires a $15/month subscription.

What to read next

For the full whale-detection pipeline including the Polymarket coverage, see the Polymarket whale tracker page. For the smart-money ranking of the most consistently profitable Kalshi and Polymarket wallets, see the smart money tracker. For alert delivery on Kalshi events, see our alerts page.

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

What is a Kalshi whale tracker?

A Kalshi whale tracker monitors Kalshi trade activity and surfaces meaningful positions with the trader identity, market, side, size, and entry price available from the source. Rivo uses a Kalshi-specific ingestion and qualification path, then normalizes the result into the same terminal used for Polymarket.

Does Rivo support Kalshi or only Polymarket?

Rivo supports both. Kalshi and Polymarket are ingested through venue-specific paths and displayed in one terminal. Users can filter by venue, inspect ranked traders, follow specific accounts, place connected orders, or test cross-venue rules on paper.

What is the minimum trade size for Kalshi whale detection?

Rivo applies an internal Kalshi-specific minimum for anonymous whale activity and a separate trader-feed floor for identified tracked traders. The thresholds are intentionally venue-aware because Kalshi and Polymarket expose different liquidity, identity, and trade patterns.

Are there other Kalshi whale trackers?

Most prediction-market whale trackers focus on Polymarket and treat Kalshi as secondary. Rivo treats Kalshi as a first-class source for the unified feed, followed-account alerts, and strategy tracking.

What is a Kalshi whale bot?

A Kalshi whale bot monitors trade activity and posts notifications. Rivo instead sends real-time alerts for accounts a user follows and daily summaries for strategies, alongside wallet history and resolved-PnL context.

Can I use the Kalshi whale tracker for sports betting?

Yes. Kalshi prices sports outcomes in cents that map directly to implied probability, so a whale entry compares cleanly against a sportsbook moneyline on the same game. The signal is about the game, not the venue: if your book offers a better price than the whale's entry implies, the read is just as actionable there.

The signal is about the game, not the venue.

When serious money takes a side on Kalshi, that is a read on the event itself, and the same game is priced at every sportsbook. Compare the whale's entry to your book's line and act wherever the price is best. Rivo shows you what smart money did and at what price. Where you place it is your call.

How bettors use it

Watch the Kalshi whales in real time.

Live feed of every qualifying Kalshi whale trade, alongside Polymarket. $15/month. Cancel anytime.

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