The Leaderboard Is Not What You Think
When you look at a prediction market leaderboard, it is easy to assume the top traders got there by making bold, correct calls on high-profile events. Some did. But a closer analysis of the top 100 Polymarket traders reveals a more diverse set of strategies than pure event prediction.
Research examining 95 million on-chain Polymarket transactions in 2025 identified six distinct profit models among top traders. Understanding these models changes how you should interpret whale activity.
The Six Strategies That Actually Work
The first and most straightforward is information edge trading. This is what people typically picture: a trader with better information or analysis than the market consensus. The French whale who made $85 million on the 2024 election is the most famous example. He reportedly commissioned private polling and used multiple accounts to build positions without signaling his conviction to the market. This strategy is high-reward but extremely skill-dependent.
The second is arbitrage. From April 2024 to April 2025, arbitrageurs extracted over $40 million from Polymarket alone. These traders do not take directional views on outcomes. They identify price discrepancies between platforms or between related contracts on the same platform and lock in small, near-riskless returns. The top three arbitrage wallets captured $4.2 million. This strategy requires speed and capital more than prediction skill.
The third is what might be called the bond strategy, or high-probability harvesting. Traders buy contracts on outcomes they believe are nearly certain (trading at 90-97 cents) and collect the 3-10% return when the contract resolves. The return per trade is small, but compounded across many positions, the annualized return can be substantial. The risk, of course, is the occasional "sure thing" that does not happen.
The fourth is liquidity provision. Some traders act as market makers, posting both buy and sell orders and profiting from the spread. This strategy works best in stable, liquid markets where the spread is wide enough to compensate for the risk of being on the wrong side of a sudden price move.
The fifth is momentum trading within prediction markets. Contracts that start moving in one direction often continue, especially when driven by genuine information flow rather than noise. Some traders systematically buy contracts showing positive price momentum and sell those showing negative momentum, applying the same principles that work in equity markets.
The sixth is event-driven positioning. Traders identify upcoming catalysts (debates, economic data releases, court decisions) that will likely move specific contracts and position beforehand. This is similar to event-driven strategies in traditional finance, adapted for the binary outcome structure of prediction markets.
What This Means for Tracking Whales
Knowing which strategy a whale is using changes how you should interpret their trades. An information-edge trader taking a large position on a political outcome is a meaningful signal about that outcome. An arbitrageur taking positions on both sides of related contracts is not a signal about any particular outcome. A liquidity provider posting orders is market infrastructure, not a directional bet.
The most valuable whale tracking distinguishes between these strategies. A system that can identify which wallets are information traders (based on their historical pattern of directional, concentrated bets on specific outcomes) versus arbitrageurs (based on paired positions across platforms or contracts) gives you much cleaner signal than one that treats all whale activity the same.
Concentration and Diversification Patterns
Another revealing pattern is portfolio concentration. The most profitable information-edge traders tend to concentrate their capital in a small number of high-conviction bets. They are not diversified. They have done the work to identify a few situations where they believe they have a genuine edge, and they size up accordingly.
Arbitrageurs and liquidity providers show the opposite pattern: highly diversified across many positions, each small relative to their total portfolio. Their edge comes from volume and consistency, not from any single correct prediction.
Understanding this distinction helps you calibrate how to interpret any given whale's new position. A concentrated trader adding to an already-large position is a stronger signal than a diversified trader opening one of many small positions.
Explore these tools on Blockcircle: Prediction Markets Mispricing Engine | Whale Finder