Editor's Note: In the crypto market, profit is the report card. Starting from the on-chain data of Polymarket's top wallets, this article explores whether the big winners in the prediction market rely on information asymmetry, models, belief, or pure trading discipline. The conclusion is that there is no one-size-fits-all strategy for steady large gains, and the top three profitable accounts use three sets of money-making methods that are almost entirely unrelated.
Researching the wallets that have earned millions of dollars on the world's largest prediction market, it is found that there is no unified approach here. Instead, there are at least three different approaches, and they have little in common.
If you often scroll through prediction market Twitter, you will quickly see the same set of anonymous IDs in various "biggest winners" list posts. Theo4 made a fortune in the 2024 election market. swisstony has been quietly profiting in NBA spreads. MonsieurDimanche frequently appears in various market comment sections. After a while, you will start to wonder: Are these people of the same kind? Are they doing the same thing? Is there a recognizable profile of "those good at Polymarket"?
The intuitive answer is: yes. Just like you would think there is a common profile for "those good at poker": patience, mathematical ability...
But after examining the on-chain data of all Top 20 wallets on the platform, the real answer is: there is no such unified profile. There are at least three categories, and possibly even more. Apart from appearing on the rankings, they have little in common. This answer is more interesting than expected, so it is worth carefully dissecting what the data actually reveals.
The data below is from Polymarket and is up to date as of May 5. Just the top 10 wallets in political markets have contributed $94 million in profit; the top 10 wallets in sports markets contributed another $60 million; and the third-largest category, Crypto, contributed $25 million. This figure is not even the sum of the top three wallets in the political category.
Political Markets are in a League of Their Own
Comparing the top wallets in each category on the same dollar scale, political markets are significantly ahead, both in terms of individual wallet peak earnings and total profit of the Top 10 wallets.
The top wallet in the Politics category has already earned $22 million. The top wallet in the Sports category has earned $11.3 million. In the Crypto category, the top wallet has earned $4.7 million. Unfortunately, this figure doesn't even make it into the top 10 in the Politics category.
This disparity is not just a result of the power-law distribution. The 10th wallet in the Politics category has around $5 million in earnings, surpassing the top wallet in all other categories except Sports. The Politics category is not just "a steeper version of the same distribution," but operates at a completely different level.
If the Top 20 wallets in each category are plotted based on total profits on a logarithmic scale, outside of the Politics, Sports, and Crypto categories, only the top wallets in Science and "Other" can exceed $1 million.
The most direct explanation is: the Politics market has fewer participants, larger individual bets, and longer settlement cycles. A correct judgment on the outcome of a presidential election or a controversial policy decision can be amplified into a seven- or even eight-figure profit. Sports markets typically settle within hours, have thinner spreads, and smaller individual profits. The market structure determines which strategy prevails.
High-Conviction Long-Term Bets vs High-Frequency Cross-Market Trades
When holding amounts and realized profits are viewed together, the rankings are clearly divided into two groups. They share a common vertical axis, but little else.
A comparison of the holdings and trading P&L of the Top 10 wallets in Politics, Sports, and Crypto reveals: whale wallets in Politics are concentrated at the low holding end, while whale wallets in Sports dominate the high-frequency trading end.
On the left side of the chart, between approximately 1 and 100 holdings, the Politics whales fill the seats. The top wallet, 0x5668…5839, earned $22 million with only 18 holdings. Another wallet, 0xd235…0f29, earned $11.3 million with only 2 holdings.
On the right side of the chart, between 1000 and 150,000 holdings, we find the turf of Sports traders. The second wallet in Sports, 0x204f…5e14, earned $7.5 million with 151,888 holdings. This resembles more the footprint of an automated system than that of a "view-driven investor."
One wallet earned $22 million with 18 holdings. Another wallet earned $7.5 million with 151,888 holdings. They appear on the same leaderboard, but they are not in the same line of business.
These are two completely different jobs. The first requires a strong sense of conviction and a willingness to go all-in on rare high-risk events. The second requires engineering discipline: a low-margin per trade model deployed across a wide enough market to let the law of large numbers work. Crypto falls somewhere in between, encompassing both styles but on a smaller scale.
Market Selection: Coexistence of Centralization and Decentralization
After introducing 8 named wallets, which are accounts whose names can be identified from Polymarket's public data, we can more intuitively see the strategy distribution.
Sorting these 8 wallets by "percentage of maximum category profit to total profit," Theo4 is fully concentrated in the political category; MonsieurDimanche, on the other hand, spans 9 categories.
Theo4's $22 million profit comes 100% from the political category. swisstony's $7.8 million profit, 97% is from the sports category. The top earner in sports, kch123, also derives 87% of their profit from sports. These are expert traders who do not easily cross into other categories.
On the other end, MonsieurDimanche has distributed their $15 million profit across 9 categories, with no single category contributing more than 31%. They do not focus on any single category yet still remain at the top of the leaderboard.
Traditionally, it is believed that specialization brings deeper advantages and therefore higher returns. This belief holds true at the top, but only barely. Theo4, the wallet with the most concentrated profit category, is also the overall profit leader. MonsieurDimanche, the most diversified, ranks second.
Number of Positions vs. Per-Trade Profit
The most useful chart in the entire dataset is one that divides each wallet's profit by its number of positions, measuring how much each bet earns on average.
In the log of trade profit / number of positions chart, both Theo4 and swisstony are almost 100% concentrated in a single category, but they differ by about 22,000 times in selectivity.
Theo4 earns an average of $1 million per position. swisstony earns an average of $45 per position. Both are essentially single-category traders, almost indistinguishable on the "concentration" axis. However, on the "selectivity" axis, they differ by about 22,000 times.
This is the most important analytical conclusion: Wallet size and per-trade profit are two independent variables. Mixing them up will obscure what the leaderboard truly reveals. Which markets a wallet covers indicates where the trader is placing bets; how much holdings correspond to each unit of profit indicates how the trader is making money. The two are not related.
Three Approaches Behind Eight-Figure Returns
The data presents not one strategy, but three.
The first is the political expert. In slow-settling, high-odds, high-impact political markets, they seek enormous returns with few high-belief, high-stake positions. They trade infrequently, hold large positions, and conduct deep research. Theo4 is a typical example. The main barrier to this approach is psychological: Most traders cannot size their positions large enough to truly make the strategy pay off. It is also not a scalable path in the traditional sense.
The second is the sports market systematic trader. They use automated models to price sports markets, aiming to be slightly better than the consensus price, accumulating profits through thousands or even hundreds of thousands of contracts. The per-trade profit is slim, but the overall approach can be sustainable long-term. Swisstony is a typical example. The main barriers to this approach are engineering skill and operational discipline, rather than just market insight.
The third is the cross-category polymath. They can form well-calibrated judgments on many topics and extract profits from markets that expert traders overlook. MonsieurDimanche is a typical example. The main barrier to this approach is breadth of knowledge, which is harder to achieve than building a single-category model.
These skills are not transferable. A political expert will not become a sports market systematic trader just by trading more frequently because their advantage does not lie there. A sports market systematic trader will not become a political expert just by increasing their per-trade position because their thin per-trade profit cannot support highly concentrated holdings. The prediction market rewards three independent abilities. Being good at one almost cannot imply you are also good at another.
In a way, this is reassuring. There is no single answer to "How to make money on Polymarket?" There are at least three answers. For an individual, which one is the hardest depends on their personality, engineering ability, and how many high-quality opinions they can form. And these differences will not be smoothed out by the leaderboard.
What the leaderboard seems to truly penalize is the middle ground: those traders who have enough breadth to dilute specialization and enough trading volume to dilute conviction. That is, where most people likely find themselves. The top wallets have all chosen a lane to focus on and have enough discipline to stay on that lane consistently.
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