Kalshi Leaderboard

Who are the top traders on Kalshi?

From the ranking above, refreshed every six hours. The figures below were first published on September 27, 2026 and update with the table.

• hudson1234 leads with $351,283 in profit from settled trades.
• The 200 traders on this page made $7.8 million between them. The last trader on the list made $18,025.
• Among the 199 traders with at least 10 settled trades, win rates run from 1% to 100%. The median is 46%.
• 116 of those traders lost more trades than they won and still made money.
• The median trader here has 1,105 trades on record.

Kalshi profits run smaller than Polymarket profits because Kalshi bets run smaller. The skill on show is the same: buying contracts cheaper than their real odds, again and again.

What this Kalshi leaderboard shows

Every row is a named Kalshi trader Rivo tracks, ranked by the profit Rivo computed from the trader's settled trades. Click a column to rank by win rate, return or money traded. Open a trader for the full record.

• Profit counts markets settled, won or lost. Money sitting in open positions does not count.
• Win rate is settled wins over settled trades, shown once a trader has 10 settled trades.
• Return is profit over every dollar the trader traded, shown once a trader has 10 settled trades.
• Money traded is every dollar Rivo saw the trader put in, settled or open.

How is the Kalshi leaderboard ranked?

Kalshi is the one US regulated venue where you see who is trading. Kalshi's public trade feed carries no names, so Rivo reads the trades of traders who show a public profile on Kalshi.

1. A named trader buys on Kalshi. Rivo records the trader, market, side, price and size.
2. Rivo sorts the trade into opening, adding to, trimming or closing a position.
3. The market settles. Rivo marks the trade won or lost and books the profit at the price the trader paid. A NO buy scores at the NO price.
4. Every six hours the leaderboard re-ranks the traders on the new totals.

A trader makes the list with a large trade in the last 30 days. Rivo drops a trader from public lists once the last 90 days turn into a losing record, and hides traders on its exclusion list. The full method lives on the methodology page.

How to read a Kalshi trader profile

• Profit curve. Profit over time from settled markets. A steady climb beats one spike.
• Win rate against the odds paid. Each price band shows how often the trader won next to the price paid. On Kalshi this matters more than anywhere, because many top traders buy longshots.
• Results by bet size. Some traders win on small bets and give the money back on big ones. You want the reverse.
• Categories. Kalshi runs deep in sports, economics, weather and crypto. Most winning traders stick to one or two. Copy them there.
• Most traded markets and biggest wins. A record built on one market reads differently from a record spread over hundreds.
• Monthly profit and streaks. Consistency across months beats one big month.
• Weekday by hour heatmap. When the trader trades, in Eastern time. Sports traders cluster around game time.
• Copy simulator. Replays copying the trader at $25, $100 or $250 a trade over 7, 30 or 90 days.

Red flags before you copy a Kalshi trader

• Few settled trades. Under 20 settled trades, the record is mostly noise.
• Profit from one market. Check the biggest wins. One huge weather or election payout does not repeat on schedule.
• High win rate at 90 cents and up. Frequent small wins and rare big losses. Check the price bands before you trust the win rate.
• Thin markets. A trader buying the whole book on a small market moves the price. Your copy fills higher. Rivo sizes a live copy down to the depth inside your slippage limit, so some copies fill smaller than you set.
• Stale activity. The 90 day activity chart shows whether the trader still trades.
• Hot streak only. Compare the 7 day and 90 day simulator windows. A trader good for one week and flat for three months is luck.

Which column should you sort by?

Each sort answers a different question. Pick the one that matches what you want to copy.

• Profit finds the traders who made the most money. Kalshi sizes run smaller than Polymarket's, so the top of this sort is within reach of a normal account.
• Return finds the traders who made the most per dollar traded. The best sort for a small account.
• Win rate finds the traders right most often. On Kalshi, many of the best traders sit below 50%, so never sort by win rate alone.
• Money traded finds the most active traders, which is useful for spotting who moves thin markets.

Our habit: sort by return, open the top 20, and throw out anyone with fewer than 50 settled trades or a record built on one market. Run the rest on paper for two weeks before going live.

Kalshi vs Polymarket traders

As of September 27, 2026, the top 200 on each venue looked very different:

• The top 200 Kalshi traders made about $7.9 million between them. The top 200 Polymarket wallets made about $99 million.
• The median Kalshi trader on the list won 46% of settled trades. The median Polymarket wallet won 63%.
• 117 of the top Kalshi traders lost more trades than they won and still made money. On Polymarket the number was 32.

Kalshi rewards patience with cheap contracts. The winners here lose most of their bets and get paid enough on the rest to come out ahead. If you copy them, expect long losing runs between payouts, and size so a bad month does not stop your bot. A loss limit on the bot handles the worst case for you.

Why copy a Kalshi trader instead of a Polymarket wallet?

• Live copying works today. Rivo places Kalshi copies through your own API key. Live copying on Polymarket is coming soon.
• Smaller sizes. A Kalshi trader betting a few thousand dollars leaves room for your copy at a similar price.
• US regulated. Kalshi is a CFTC-regulated exchange open to US residents, with a few state limits. See where you can trade.
• Exits too. On Kalshi a live trader bot can sell your share when the trader sells.

How do you copy a Kalshi trader automatically?

Every profile has a Build a bot action. It carries the trader into the Kalshi copy trading bot, where you set your size, read the backtest and choose paper or live.

• Live copies go through your own Kalshi API key. The key can trade but can't withdraw.
• You set a per-trade limit, a per-day limit and an optional loss limit. The bot stops at each one.
• Sell when the trader sells mirrors the trader's exits on your share of the position.
• A bot short on funds or with a disconnected key stops, messages you once and resumes when the problem clears.

The Kalshi whale tracker shows the largest trades as they print. For Polymarket, see the Polymarket leaderboard.

Frequently asked questions