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The Most Profitable Traders on Polymarket: How are They Making Millions? 

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Posted May 05 2026

The Most Profitable Traders on Polymarket: How are They Making Millions? 

Among over 1.7 million trading addresses on Polymarket, approximately 70% have realized losses while fewer than 0.04% captured over 70% of total profits, a collective $3.7 billion. The platform is transparent in a way no traditional financial market is. Every position, every wallet, every profit and loss figure is publicly visible on the blockchain. That transparency makes it possible to identify exactly who is making money, how much they have made, and in some cases, how they did it.

 

The Leaderboard Context: What the Numbers Actually Mean

Before the five profiles, the data context matters.

The current Polymarket all-time profit leaderboard shows kch123 at number four with plus $11,625,254 on $292,593,717 in volume, swisstony at number five with plus $9,375,786 on $847,707,574 in volume, and RN1 at number six with plus $9,183,850 on $609,580,628 in volume.

The top ten traders on Polymarket have earned over $100 million combined in lifetime profits. The French Whale's $85 million sits outside the standard leaderboard because it was generated across 11 wallets, but it remains the single largest documented profit event in Polymarket history.

The five traders below represent five completely different approaches to the same platform. Understanding each one is more instructive than knowing the dollar figures alone.

image.pngAI assistant explaining how to identify top Polymarket traders by analyzing realized profit and loss, ROI consistency, trading volume, market activity, and wallet performance.
Finding profitable Polymarket traders requires more than checking leaderboard rankings. Consistent ROI, sustained volume, market timing, and long-term performance often reveal the most skilled prediction market participants.

Trader 1: Théo (Fredi9999)  $85 Million on One Election

  • Verified Profit: $85 million
  • Primary Market: 2024 US Presidential Election
  • Strategy: Commissioned original polling research to identify a market pricing error

An anonymous man living in France placed substantial bets on Polymarket in early October 2024 that Donald Trump would win the election. Most pollsters thought the race was too close to call. The whale was previously believed to have operated four accounts, but Chainalysis research later identified as many as 11 accounts tied to the same trader, with a total expected profit of more than $85 million.

The person behind the accounts is Théo, a French trader who used to work on Wall Street.

Polymarket CEO Shayne Coplan explained that the trader commissioned a form of polling called neighbor polling, which asks people who they think their neighbors are likely to vote for, rather than who they personally support. He conducted specific research focused on three key swing states: Pennsylvania, Michigan, and Wisconsin.

One day before the election, his four known accounts held about $3 million in unrealized losses as the race tightened. He held. When Trump won, the profit across all 11 wallets totaled more than $85 million.

What the trade actually demonstrates

Théo's edge was not a political opinion. It was a research methodology. He identified a specific flaw in how public polls were measuring voter sentiment, commissioned original data to test his hypothesis, sized accordingly, and held through adverse price movement because the underlying analysis had not changed.

The common traits of top traders on Polymarket are not predictive ability. They systematically identify market pricing errors, maintain rigorous risk management, and build a crushing information advantage in a single domain. Théo's trade is the clearest example of all three operating simultaneously.

 

Trader 2: Domer (JustKen)  The Platform's Original Number One

  • Verified Status: Number one all-time trader on Polymarket by both volume and profit as of his 2024 interview
  • Total Volume: Nearly $300 million
  • Markets Traded: Over 5,000
  • Strategy: Full-time political and event trader; former professional poker player

Domer is the number one all-time trader on Polymarket both in terms of trading volume and profit. With more than 5,000 markets traded and nearly $300 million in total volume, Domer has unique insights into the world of prediction markets and political betting.

In an interview, Domer described his background: he became an online poker player by accident in the mid-2000s during the golden age of online poker, went full-time after college, and later transitioned into prediction market trading. He described his approach as follows: "I don't think of myself as a gambler. I'm taking very, very well-researched views on things. It's much more akin to investing."

On copy trading, Domer explained: "I place a lot of orders and lose a lot of orders. I have a high risk tolerance and sufficient funds. So many people will copy my trades. Then once I lost, they gave up. At this stage in my career, I think I probably lost a little more orders than I won, but I won more money than I lost."

He described constantly discussing his event trade orders with others to get feedback, noting he has a core group of people he trusts despite appearing to trade alone from the outside.

What the trade record demonstrates

Domer's profile is the most instructive for traders who want a replicable model. He did not make one large single bet. He built volume across 5,000 markets over multiple years, maintained a win rate where he lost more individual trades than he won but extracted more money per winning trade than he lost per losing trade, and treated the platform as a full-time professional discipline rather than speculative activity. The poker background matters: professional poker players are trained to separate outcome from process, manage bankroll across long losing runs, and identify when opponents are mispriced.

 

Trader 3: kch123  $11.78 Million With a 61% Win Rate

  • Verified Profit: $11,625,254 (Polymarket leaderboard, current)
  • Total Volume: $292,593,717
  • Total Trades: Approximately 2,932 across 1,874 markets
  • Win Rate: 61.21%
  • Strategy: High-conviction concentrated positions across sports and political markets

A trader known as kch123 on Polymarket has captured attention with institutional-grade performance, amassing a total profit of over $11 million. With over 1,866 predictions executed since joining in June 2025, kch123 is believed to be a sophisticated market maker or algorithmic bot, leveraging platform inefficiencies. The trader's total volume exceeds $229 million, indicating significant influence on market trends.

During Super Bowl LX on February 8, 2026, kch123 placed five bets and won all five, earning $1.8 million in a single day. His winnings included $986,792 from a spread bet on the Seahawks at minus 4.5, $298,946 from the Seahawks vs Patriots matchup, $235,343 from betting on the Seahawks to win the Super Bowl, $220,760 from another spread bet on the Seahawks at minus 5.5, and $62,507 from a bet on the Patriots' performance.

kch123 turned $12.9 million in deposits into $10.9 million in pure profit, a 74.89% return on investment. The numbers are precise across 2,932 total trades across 1,874 markets, with a 61.21% win rate and the discipline to stay low-risk while others chase high-variance positions.

Overall, kch123 has $62.3 million in gains versus $50.6 million in losses, for a 54.2% win rate. Comparing all names on the leaderboard, kch123 is the only Polymarket trader to have an eight-figure profit with approximately 4,000 trades, which works out to approximately $2,900 in profit per trade.

What the trade record demonstrates

The kch123 profile illustrates what disciplined position concentration looks like at scale. Rather than spreading across hundreds of small positions, this trader identifies select opportunities with genuine analytical conviction and deploys large positions on individual outcomes. The Super Bowl example is the clearest demonstration: five concentrated bets on the Seahawks across multiple market types on the same game, all resolving correctly. Whether this represents human analysis or algorithmic execution remains publicly unconfirmed, but the statistical consistency across nearly 1,900 markets over less than a year is notable.

 

Trader 4: swisstony  $9.37 Million Across 200,000 Trades

  • Verified Profit: $9,375,786 (Polymarket leaderboard, current)
  • Total Volume: $847,707,574
  • Total Trades: Approximately 200,000
  • Win Rate: 53.6%
  • Strategy: Ultra-high-frequency arbitrage and multi-outcome position hedging

The swisstony account on Polymarket is massively active, with more than 500 positions that have yet to resolve one way or another. All-time trades total around 200,000, more than any other user on the top leaderboard. Although swisstony's predictions are only successful 53.6% of the time, the account has an estimated net worth of $63 million along with a profit margin of $8.83 million. Over the course of the account's history, there have been $57.2 million in winning forecasts versus $48.4 million in unsuccessful predictions.

A trading algorithm identified with the swisstony wallet reportedly transformed a small initial amount into $3.7 million by exploiting broadcast delays on Polymarket. The algorithm capitalizes on the time lag between live sports events and their broadcast on television, which can range from 15 to 40 seconds. By receiving real-time data directly from stadiums via API, the approach executes trades before the market adjusts to actual game events. This strategy, termed reality arbitrage, allows the system to buy undervalued contracts before the broadcast catches up.

Swisstony employs an ultra-high-frequency approach with an ant-moving style. This address typically buys all possible outcomes for a single game. In the Jazz vs Clippers game, for example, the account bought 23 different outcome directions. Because the investment amounts are small, the capital allocation is relatively balanced, achieving a hedging effect. However, the strategy heavily relies on execution precision: the sum of yes and no bets must be less than 1, and some hedging orders have exceeded this threshold, resulting in guaranteed losses on those specific positions.

What the trade record demonstrates

swisstony's profile is the opposite of kch123 in almost every measurable way. Where kch123 makes roughly 2,900 trades and extracts $2,900 per trade in profit, swisstony makes 200,000 trades and extracts approximately $47 per trade. The total profit is similar because the volume is 65 times higher. This pure volume arbitrage model  identifies small structural inefficiencies, executes at machine speed, and repeats across every available market. The 53.6% win rate is not impressive until you understand that the strategy does not require accuracy. It requires execution volume and structural edge in how contracts are priced.

 

Trader 5: RN1  $9.18 Million With a 55% Win Rate Across 127,000 Positions

  • Verified Profit: $9,183,850 (Polymarket leaderboard, current)
  • Total Volume: $609,580,628
  • Total Positions: More than 127,000
  • Win Rate: 55.0%
  • Estimated Net Worth: $56.6 million
  • Strategy: High-volume diversified trading across political and sports markets

RN1 has more than 127,000 total positions and a profit margin that exceeds $9 million. That works out to $28.9 million in wins against $19.8 million in losses. The win rate for RN1 is 55.0% all time, which shows that there is plenty of edge to be had even if you are not successful over the vast majority of trade estimates the net worth of the RN1 account to be $56.6 million.

The RN1 profile sits between the concentrated conviction model of kch123 and the volume arbitrage model of swisstony. Over 127,000 positions with a 55% win rate represents a disciplined approach to finding small but consistent edges across a very large number of markets. The $609 million in total volume means RN1 is one of the highest-volume traders on the entire platform, second only to swisstony in raw activity.

What the trade record demonstrates

RN1's record challenges the most common misconception about what it takes to profit on Polymarket. A 55% win rate does not sound impressive. Across 127,000 positions with disciplined position sizing and consistent market selection, it produces $9.18 million in net profit. The lesson is not that accuracy does not matter. It is that a small, consistent edge applied at scale with proper risk management compounds into significant returns over time. RN1 is the closest profile on this list to what most active traders could realistically attempt to replicate, because it does not require proprietary polling data, algorithmic latency advantages, or exceptional single-event conviction. It requires a consistent process applied over a very large number of markets.

 

What the Five Profiles Have in Common

Five traders, five completely different approaches, five very different profiles when examined in detail.

Trader

Verified Profit

Win Rate

Total Trades

Primary Edge

Théo (Fredi9999)

$85 million

Single event

11 wallets

Original polling research

Domer (JustKen)

Not fully public

Wins less, earns more

5,000+ markets

Full-time political research

kch123

$11.625 million

61.21%

~2,932

Concentrated conviction

swisstony

$9.375 million

53.6%

~200,000

Volume arbitrage and latency

RN1

$9.183 million

55.0%

127,000+

Consistent edge at scale

The common characteristic of top traders is not predictive ability. It is the systematic identification of market pricing errors, rigorous risk management, and the patience to build an overwhelming information advantage in a single field.

None of the five traders made their money the same way. Théo made a single large research-driven bet. Domer built a full-time discipline across thousands of political markets. kch123 concentrated capital on high-conviction events. swisstony automated latency and arbitrage at industrial scale. RN1 applied a modest statistical edge across an enormous number of positions.

What connects them is not strategy. It is that each one identified a specific type of market inefficiency, developed a systematic approach to exploiting it, and executed with enough consistency and risk management to avoid the kind of single catastrophic loss that ends most trading careers before they produce results.

The concentration of profits at the top of Polymarket is stark. Fewer than 0.04% of addresses captured over 70% of total realized profits. Earning more than $1,000 in total required ranking in the top 4.9% of all participants.

The leaderboard is publicly visible at Polymarket and updates in real time. Every wallet on this list is on-chain and trackable. The positions these traders hold, open or closed, are visible to anyone who knows where to look.

 

Conclusion: The Architecture of Edge on Polymarket

The five traders profiled above represent over $124 million in verified, on-chain profit. Yet their value as case studies is not the dollar figures. It is what those figures reveal about the nature of edge in transparent, event-driven markets.

The broader data is sobering. Seventy percent of addresses lose money. Fewer than 0.04% capture over 70% of all profits. Earning more than $1,000 requires ranking in the top 4.9% of all participants. Polymarket is not a lottery, but it is also not a passive wealth generator. It is a competitive arena where every profit is someone else’s loss, and where the house (in the form of platform fees and resolution risk) ultimately takes a cut.

For the retail observer, the temptation is to copy trades. Domer explicitly warned against this: his win rate on individual orders is below 50%, and he has sufficient funds and risk tolerance to withstand long losing streaks that would bankrupt a copy trader. For the aspiring participant, the replicable model is not any single trade. It is RN1’s consistency, kch123’s concentration discipline, or Domer’s full-time research process scaled to whatever capital and time are realistically available.

The leaderboard is public. The wallets are trackable. The data is immutable. What remains private is the process each trader used to decide, before the market moved, that the crowd was wrong. That process is the only asset that cannot be copied.

Frequently Asked Questions (FAQ)

1. Is Polymarket legal in the United States?

 

As of the date of this article, Polymarket has reached a $1.4 billion settlement with the CFTC and has agreed to block US-based users from trading on its platform. The platform is legally accessible from most jurisdictions outside the US, but users are responsible for understanding their local laws. None of the traders profiled above (Théo in France, Domer, kch123, swisstony, RN1) are confirmed to be US persons.

2. Can I simply copy the trades of these top traders?

 

No. Domer explicitly stated that by copying his positions is likely to lose money because he loses more individual trades than he wins, has a very high risk tolerance, and holds sufficient capital to survive long drawdowns. Additionally, blockchain transparency means by the time you see a top trader enter a position, the market may have already moved. Copy trading without understanding the underlying edge is a documented loss strategy.

 

3. What happened to the "French Whale" (Théo/Fredi9999) after the election?

 

Théo’s $85 million profit from the 2024 US Presidential Election was fully realized after Trump’s victory. Polymarket CEO Shayne Coplan publicly confirmed that the trader commissioned original neighbor polling and had no connection to any campaign or outside influence operation. Théo has not been publicly identified beyond his first name and Wall Street background. His 11 wallets remain on-chain and trackable.

4. Do I need an algorithm to make money like swisstony?

 

Yes. swisstony’s strategy executing roughly 200,000 trades to profit approximately $47 per trade relies on ultra-high-frequency execution and real-time data feeds (API access to stadiums) to exploit broadcast delays of 15-40 seconds. This is not replicable manually or with standard retail internet connections. It is a professional arbitrage operation.

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