Author: darkzodchi
Compiled by: Asher, Odaily Planet Daily
After systematically analyzing over 112,000 Polymarket wallets and six months of on-chain data, a straightforward yet surprising conclusion emerged: about 87.3% of users ultimately lose money on the platform.
This analysis covers multiple key dimensions, including each on-chain transaction record, trading volume, win rate, profit and loss, market types participated in, entry times, and position sizes. The entire data整理 process took three weeks, and the final conclusion differs significantly from many people’s intuition.
Many believe that top traders in prediction markets have some obvious advantage—such as insider information or complex models unknown to most. But the data shows otherwise. That 1% of top players consistently do a few things well over the long term and repeat them. Meanwhile, the other 99% often do the opposite and then wonder why their funds keep draining.
Polymarket’s Leaderboard Is Actually Very Misleading
If you open Polymarket’s leaderboard and sort by profit (PnL), you’ll notice anomalies. For example, the top-ranked wallet has only 22 positions; the fourth-ranked wallet has just 8 trades; and the eighth-ranked wallet, with only one bet, still ranks in the top ten historically.
These addresses are hardly true traders. Often, they are whales placing a single large bet—over $5 million—on one event and just happened to be right; or they have informational advantages, or both. But with only a few trades, there’s almost no way to learn consistent trading patterns. This looks more like a “coin flip” with huge capital rather than a replicable strategy.
Therefore, the first step in analysis is filtering out these noise data, keeping only samples with statistical significance. Filtering criteria include:
- At least 100 settled positions to ensure sample size validity;
- Active trading for no less than 4 months, to exclude accounts relying on luck;
- Participation in at least 2 different markets, to avoid over-concentration on a single event;
- Total trading volume exceeding $10,000, to confirm real capital involvement.
After applying these filters, from the initial 112,000 wallets, only about 8,400 addresses remain with meaningful data. These 8,400 are the truly valuable dataset for research—not the “hero accounts” on the leaderboard that made millions with just a few trades. These addresses tend to trade consistently and have stable data, making it easier to observe genuine behavior patterns.
Interestingly, once filtered, the most stable traders’ profiles differ completely from their leaderboard images. They are not prominent; most people have never heard of their names. Their profits are usually between $50,000 and $500,000—not millions.
But what’s truly worth noting isn’t how much they make, but the process and methods behind their trades. Because what’s truly replicable isn’t the result, but the process.
Three Common Misconceptions to Break
Misconception 1: Top traders have win rates between 80% and 90%
Not true. Based on the filtered data, not the whales who make a killing with a single bet, the long-term profitable wallets typically have win rates around 55% to 67%. Even top traders make mistakes in a significant portion of their trades. For example, one address with over 900 settled positions and a total profit of $2.6 million has a win rate of only 63%. That means over a third of their bets are wrong, yet they still earn huge profits.
Obsessing over win rate is a trap for beginners. Many newbies buy contracts at $0.90 because it seems “safe.” With a 90% probability, the outcome seems almost certain, so they buy at $0.90, and if they’re right, they earn $0.10. But one mistake costs $0.90, risking a 9:1 reward-to-risk ratio. Repeating this cycle drains accounts quickly. In the data, hundreds of addresses repeatedly fall into this pattern.
Misconception 2: The best traders participate in all markets
Actually, quite the opposite. The most consistent wallets usually focus on only 1-3 market categories, often just one or two. Some only trade crypto-related events; others only weather markets; and some nearly only trade “Will Bitcoin reach a certain price before Friday.”
Over-diversification tends to reduce judgment quality. Broad participation often results in mediocre performance, while focused traders tend to be more profitable.
Misconception 3: Speed is everything
This only applies in rare cases. For example, some 15-minute settlement crypto markets require quick reactions. But in most markets, top traders don’t rely on speed. They often build positions gradually over days or weeks. They don’t rush to click faster than others; instead, they patiently wait for clear deviations. When prices diverge enough, even if it takes two weeks to correct, the expected value remains favorable.
Five Trading Patterns Worth Learning
Pattern 1: Contrarian trading during extreme sentiment
This is the clearest and most stable profit signal in the dataset. Among the 8,400 filtered wallets, this behavior is the primary indicator of long-term profitability.
When a contract’s market sentiment hits around 88%, many top wallets start selling YES; when it drops to about 12%, they begin buying gradually. They’re not blindly contrarian; they only act when sentiment is clearly overreacting.
This strategy exploits the “hot-cold bias,” a phenomenon known since the 1940s in horse betting research, and present in nearly all human betting markets. People tend to overestimate “almost certain” outcomes and underestimate small-probability events.
Further analysis shows that the top 50 profitable wallets tend to enter at probabilities 6% to 11% away from market consensus. They don’t bet at 50/50; they wait until odds are clearly favorable. This approach may seem dull, but over the long run, it’s highly stable and profitable.
Pattern 2: Position sizing closely follows the Kelly criterion
Comparing the top 200 wallets’ position sizes with their perceived advantage reveals a strong correlation. They don’t bet randomly; their bet sizes are proportional to their estimated edge. When they see a big advantage, they bet larger; with smaller advantage, they bet less; if no advantage, they abstain.
Whether they’ve explicitly studied the Kelly formula or just developed an intuition through experience is uncertain. But their behavior aligns closely with Kelly.
Kelly formula: f* = (p × b − q) / b
Where:
For example, if a trader estimates a 60% chance of an event, and the market price is $0.45, then:
b ≈ (1 / 0.45) − 1 ≈ 1.22
f* ≈ (0.60 × 1.22 − 0.40) / 1.22 ≈ 0.272
This suggests betting about 27% of capital. But in practice, due to high volatility, they often bet about a quarter or less—around 7%—to control risk.
In high-confidence trades, they might go up to 12–15%; with moderate confidence, 2–5%; and with no advantage, they abstain. Loss-making accounts often bet too heavily (80%) or spread small amounts across many markets, mainly paying fees without real edge.
Pattern 3: Highly specialized traders
Analyzing the 112,000 wallets by market category shows clear differences:
- 1–2 categories: average profit +$4,200
- 3–4 categories: around −$380
- 5+ categories: about −$2,100
The more categories involved, the higher the loss probability. Different markets rely on different info sources:
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Crypto: exchange flows, whale addresses, funding rates
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Politics: polls, grassroots info, legislative schedules
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Weather: NOAA models, satellite data
For example:
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Wallet A only trades 15-minute Bitcoin markets, with 502 predictions, 98% win rate, and $54,000 profit. They monitor Binance order book depth and trade when Polymarket lags by 10–30 seconds, exploiting small info gaps repeatedly.
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Wallet B only trades weather markets, using NOAA’s daily temperature forecasts and comparing them to market prices. When discrepancies appear, they trade. In NY temperature markets, their accuracy reaches 94%.
These traders aren’t geniuses; they find a niche they understand better than most and repeatedly exploit it. They don’t chase hot topics or FOMO; they stick to their advantage and execute the same logic repeatedly.
Pattern 4: Trading price swings, not event outcomes
Most users buy contracts and hold until settlement, risking a binary outcome. Top wallets, however, often buy at, say, $0.40, then sell at $0.65 when news or sentiment pushes prices up. They don’t care if the event occurs; they profit from price movements reflecting new information.
Some top addresses never hold positions to settlement. They continuously trade on price mismatches, with average holding times of 18–72 hours. In contrast, less profitable wallets tend to hold until settlement, sometimes for weeks or months.
Holding to settlement isn’t necessarily wrong; when certainty is high, long-term holding can be better. But overall, top traders use capital more actively and flexibly—they are traders, not passive bettors.
Pattern 5: Avoid sudden news
Intuition suggests that the sharpest funds jump in immediately after major news—conflicts, elections, CEO resignations. But data shows top wallets often avoid the initial spike. They wait for market overreactions to subside, then trade once volatility stabilizes.
A clear pattern: the best trading opportunities often occur before the market fully reacts or after the initial overreaction. When everyone discusses an event, it’s usually the worst time to enter, as prices are already highly efficient, and edge is minimal.
Five Practical Trading Tips
1. Pick a niche and focus long-term
Choose a domain you understand well—crypto, politics, weather, sports—and trade only within that for at least three months. Avoid jumping between topics; sticking to one prevents confusion and helps develop expertise.
2. Record every prediction
Before each trade, note your estimated probability, current market price, perceived advantage, and planned position size. After 50+ trades, review your accuracy—are your estimated probabilities aligned with actual outcomes? Adjust your judgment accordingly.
3. Manage positions close to ¼ Kelly
Calculate the Kelly fraction and then take only about a quarter of that as your actual bet. This controls risk and prevents account blowups.
4. Only trade when advantage is clear
If your estimated edge is below 8–10%, skip the trade. Patience is key. Top traders typically make only 2–3 trades per week per market category, emphasizing quality over quantity.
5. Keep detailed records and review
Maintain a comprehensive trading log. Successful traders systematically analyze their mistakes and learn from them; unsuccessful ones tend to repeat errors and blame luck.
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