**Average earnings per person reach tens of millions of dollars; what strategies do Polymarket's top traders use?**
- Core View: There is no single profitable strategy in the Polymarket prediction market. The success models of top wallets can be divided into at least three types, and these are almost unrelated to each other. Position count and profit per trade are two independent variables that determine the fundamental differences between traders.
- Key Factors:
- The scale of the political market far exceeds other categories: The total profit of the top 10 political wallets reached $94 million, far surpassing the sports category ($60 million) and the crypto category ($25 million). The top political earner made $22 million, while the sports champion earned only $11.3 million.
- High-conviction heavy positions vs. high-frequency trading: Political whales like "Theo4" earned $22 million with just 18 positions, averaging over $1 million profit per position. In contrast, sports traders like "swisstony" accumulated $7.8 million through over 150,000 positions, averaging only $45 per position.
- Three distinct strategies: First, political experts (e.g., Theo4), relying on a few high-conviction heavy positions; second, systematic sports traders (e.g., swisstony), using automated models for thin-margin, high-frequency profits; third, cross-category generalists (e.g., MonsieurDimanche), diversifying profits across 9 markets.
- Specialization and diversification coexist: Theo4 derived 100% of his profits from the political category, while MonsieurDimanche's profits were spread across multiple categories with none exceeding 31%. Both models can reach the top.
- Penalized by the "middle ground": Successful traders on the leaderboard all specialize deeply in one track. Traders in the middle range in terms of breadth and trading volume find it difficult to replicate their success.
Original Title: The Best Traders on Polymarket
Original Author: Kiyotaka
Original Translation Compiled by: SpecialistXBT, BlockBeats
Editor's Note: In the crypto market, profit is the report card. This article explores whether the big winners in the prediction market rely on information asymmetry, models, conviction, or pure trading discipline by analyzing the on-chain data of top Polymarket wallets. The conclusion is that there is no one-size-fits-all strategy for consistent, massive profits. The top three profitable known accounts employ three almost entirely different methods of making money.
After studying the wallets that have made millions of dollars on the world's largest prediction market, it's clear that there is no unified approach. Instead, there are at least three, and they have almost nothing in common.
If you frequently browse prediction market circles on Twitter, you'll quickly see the same anonymous IDs appearing in various 'biggest winners' list posts. Theo4 made a fortune in the 2024 election market. swisstony quietly generates consistent profits from NBA betting lines. MonsieurDimanche seems to appear in the comment sections of almost every market. Over time, you start to wonder: Are these people the same type? Are they doing the same thing? Is there an identifiable profile for someone 'good at Polymarket'?
Your intuition might say: Yes. Just like you'd assume there's a common profile for someone 'good at poker': patience, mathematical ability...
But after looking at the on-chain data for all top 20 wallets on the platform, the real answer is: No, there is no single profile. There are at least three types, possibly more. Apart from all appearing on the leaderboard, they have almost nothing in common. This answer is more interesting than expected, so it's worth carefully analyzing what the data actually reveals.
The data below is from Polymarket, as of May 5th. The top 10 wallets in Political markets alone contributed $94 million in profit; the top 10 in Sports contributed another $60 million; and the third-largest category, Crypto, contributed $25 million. This figure is less than the total profit of the top three Political wallets combined.
Political Markets Are a Different League
Comparing top wallets across categories on the same dollar scale, Political leads significantly, both in peak profit for a single wallet and in total profit for the top 10 wallets.
The top wallet in Politics has earned $22 million. The top in Sports is $11.3 million. The top in Crypto is $4.7 million. Notably, this figure wouldn't even break into the top 10 of the Political category.
This gap isn't an illusion created by power-law distribution. The 10th-place wallet in Politics has about $5 million in profit, exceeding the 1st-place wallet in every other category except Sports. Politics isn't 'slightly steeper in the same distribution'; it operates on a completely different level.
Plotting the total profit of the top 20 wallets for each category on a logarithmic scale shows that, besides the top three categories (Political, Sports, Crypto), only the 1st-place wallet in Science and 'Other' exceeds $1 million.
The most straightforward explanation is that Political markets are fewer in number, involve larger individual bet sizes, and have longer settlement cycles. A correct prediction on a presidential election or a controversial policy outcome can be amplified into seven or even eight-figure returns. Sports markets often settle within hours, have thinner spreads, and yield smaller individual profits. Market structure dictates which strategies prevail.
High-Conviction, Large Bets vs. High-Frequency, Multi-Market Trading
When you plot the number of positions against realized profit, the leaderboard clearly splits into two groups. They share the same vertical axis, but have almost nothing else in common.
A comparison of position count versus trading P&L for the top 10 wallets in Political, Sports, and Crypto shows: Political whales cluster at the low end of position count, while Sports whales dominate the high-frequency trading end.
On the left side of the chart, between roughly 1 and 100 positions, Political whales are concentrated. The top wallet, 0x5668…5839, earned $22 million with only 18 positions. Another wallet, 0xd235…0f29, made $11.3 million with just 2 positions.
On the right side of the chart, between 1,000 and 150,000 positions, is the domain of Sports traders. The 2nd-place Sports wallet, 0x204f…5e14, earned $7.5 million across 151,888 positions. This looks more like the footprint of an automated system than an 'investor with a thesis.'
One wallet earned $22 million with 18 positions. Another earned $7.5 million with 151,888 positions. They are on the same leaderboard, but they are not in the same business.
These are two completely different types of work. The first requires extremely strong judgment conviction and the willingness to take large positions on rare, high-stakes events. The second requires engineering discipline: a model with a thin profit margin per trade deployed across enough markets for the law of large numbers to work. Crypto sits somewhere in between, featuring both styles but on a smaller absolute scale.
Market Selection: Concentration and Diversification Coexist
By introducing 8 named wallets – accounts identifiable by name from Polymarket's public data – the distribution of strategies becomes clearer.
Sorting these 8 wallets by 'highest category profit as a percentage of total profit,' Theo4 is entirely focused on Politics, while MonsieurDimanche spans 9 categories.
100% of Theo4's $22 million profit comes from Politics. 97% of swisstony's $7.8 million profit comes from Sports. 87% of the profit for the top Sports trader, kch123, also comes from Sports. These are specialist traders who don't easily cross boundaries.
At the other end, MonsieurDimanche distributes $15 million in profit across 9 categories, with no single category contributing more than 31%. He doesn't specialize in any one category, yet still stands at the top of the leaderboard.
Conventional wisdom suggests specialization leads to deeper advantages and thus higher returns. This holds true at the very top, but only barely. Theo4, with the most concentrated profit categories among named wallets, is first in total profit. MonsieurDimanche, the most diversified, ranks second.
Position Count vs. Profit Per Trade
The most useful chart in the entire dataset divides each wallet's profit by its number of positions, measuring the average dollars earned per bet.
On the log plot of Profit per Position, both Theo4 and swisstony are nearly 100% concentrated in a single category, yet they differ in selectivity by approximately 22,000 times.
Theo4 earns an average of $1 million per position. swisstony earns an average of $45 per position. Both are essentially single-category traders, nearly indistinguishable on the 'concentration' axis. But on the 'selectivity' axis, they differ by about 22,000 times.
This is the key analytical takeaway: position count and profit per trade are independent variables. Conflating them obscures what the leaderboard truly reveals. Which market categories a wallet covers shows *where* a trader bets; how much profit is generated relative to the number of positions shows *how* a trader makes money. The two are uncorrelated.
Three Strategies Behind Eight-Figure Returns
The data reveals not one strategy, but three.
The first is the Political Specialist. In slow-settling, high-odds, high-impact political markets, they seek massive returns using a few high-conviction, high-value positions. Few trades, large positions, deep research. Theo4 is the archetype. The primary barrier to this approach is psychological: most traders cannot scale their positions to a size where the strategy yields meaningful returns. It is also not a traditionally scalable path.
The second is the Systematic Sports Trader. They use automated models to price sports markets. Even being slightly better than the consensus price allows for cumulative profits across thousands or even hundreds of thousands of contracts. Margins per trade are thin, but the overall business is durable. swisstony is the archetype. The barrier here is engineering capability and operational discipline, not just market insight.
The third is the Cross-Category Generalist. They can form well-calibrated judgments on numerous topics and extract profits from markets that specialist traders overlook. MonsieurDimanche is the archetype. The barrier here is breadth of knowledge, which is perhaps harder to acquire than building a single-category model.
These skills are not interchangeable. A political specialist won't become a systematic sports trader by trading more frequently because their advantage isn't there. A systematic sports trader won't become a political specialist by increasing their bet size because their margins are too thin to bear highly concentrated positions. The prediction market rewards three distinct capabilities. Excelling at one says almost nothing about your ability to excel at another.
In a sense, this is reassuring. There is no single answer to 'How to make money on Polymarket?' There are at least three answers. Which one is hardest for a given person depends on their personality, engineering skills, and how many high-quality opinions they can form on how many topics. These differences are not flattened by the leaderboard.
What the leaderboard truly punishes seems to be the middle ground: traders with enough breadth to dilute their specialization, and enough volume to dilute their conviction. In other words, the position where most people probably are. The wallets at the top have chosen a lane and have the discipline to stay in it.
