Polymarket processes hundreds of millions of dollars in volume every month. Behind every market are traders with distinct strategies — arbitrageurs locking in risk-free spreads, accumulators building conviction positions, directional traders betting on outcomes. Until now, understanding who these traders are and what they're doing required manually crawling on-chain data.
0xinsider changes that. We sync every trade from Polymarket's CLOB API, compute mark-to-market P&L, and run ML models that classify trading strategies, detect anomalies, and rank traders on risk-adjusted performance. The result is a profile page for every trader that shows what no leaderboard can: how they trade, not just how much.
Trader profiles
Every Polymarket trader gets a full analytics profile. At the top: total P&L, win rate, volume, predictions count, biggest win, open positions value, and portfolio value (USDC balance plus open positions). Below that, the real picture.
P&L chart
The mark-to-market P&L chart plots cumulative daily profit and loss using actual position changes and market prices. Green above zero, pink below. No smoothing, no tricks — this is what the trader's equity curve actually looks like.
Hourly performance heatmap
A 24-hour grid showing win rate and trade count by hour. See when a trader is most active and most profitable. Some traders only win at night. Others fall apart after 3pm. The heatmap makes it obvious.
An activity heatmap — a GitHub-style contribution calendar — shows trading frequency by date, so you can spot consistency patterns at a glance. Below that, the markets table lists every position, current and historical, with entry prices, outcomes, and realized P&L per market.
ML-powered rankings
Our leaderboard doesn't sort by profit. A trader who made $100K on one lucky bet ranks below someone consistently earning $5K per month.
The scoring system combines six risk-adjusted metrics: profit magnitude, Sharpe ratio, capital efficiency, profit factor, max drawdown, and consistency. Each metric is weighted according to its predictive value and adjusted by data confidence using Bayesian shrinkage — traders with thin history don't get inflated scores.
Every trader receives a composite score from 0 to 100 and a letter grade: S, A, B, C, D, or F. Filter by grade, minimum volume, or score range to find exactly the kind of trader you're looking for.
Strategy classification
We automatically classify traders into nine strategy categories based on their on-chain behavior:
Directional traders take concentrated bets on specific outcomes. Accumulators build large positions over time through many small orders. Scalpers run high-frequency, small-margin trades, while swing traders hold positions for days or weeks. Market makers provide liquidity on both sides of a market. Arbitrageurs exploit price differences across outcomes or platforms. Momentum traders follow trends and volume. Event-driven traders position around news and catalysts. And algo traders exhibit systematic, bot-like patterns that distinguish them from manual traders.
Each classification includes a confidence score and sub-traits. Each strategy type gets its own leaderboard section so you can find the best within each style.
Advanced analytics
For Insider users, every profile unlocks deep analytical tools.
Risk & Performance Charts
The Sharpe ratio chart plots rolling 7-day and 30-day risk-adjusted returns over time, so you can see whether a trader's edge is improving or decaying. Drawdown analysis visualizes peak-to-trough declines — the worst losing streak and how long recovery took. A profit distribution histogram rounds out the picture, showing the shape of per-trade P&L: fat tails, consistent small wins, or boom-and-bust cycles.
Behavioral Analysis
Edge analysis shows which purchase price ranges produce profits and which produce losses — where a trader has a genuine edge versus where they're gambling. Performance is also bucketed by position size, because some traders are sharp with small bets but reckless with large ones.
Streak analysis reveals win and loss streak patterns. Some traders go on tilt after consecutive losses; others get overconfident during winning streaks. Entry timing distribution shows how quickly trades are placed after markets open, since early movers behave differently from late entrants. An asset allocation donut chart breaks down volume across crypto, politics, sports, and other categories.
ML Insights
Pattern clustering identifies 3 to 6 distinct behavioral modes per trader, each with its own performance profile. A trader might be profitable when scalping but lose money when swing trading. Feature importance ranks the top 15 factors driving profitability for that specific trader, computed via SHAP values — so you understand what actually matters for their results.
Anomaly detection flags unusual trades automatically: sudden position size changes, out-of-character timing, or unexpected market entries.
Trade alerts
A real-time feed of large trades across Polymarket and Kalshi. Filter by platform, buy or sell side. Each alert shows the trade size, implied probability, market, outcome, and trader. Links go straight to the trader's profile and the market event.
The feed updates every 30 seconds with a live pulse indicator. When a large trade lands, you see it within seconds.
Multi-wallet portfolio
Link your Polymarket wallet addresses to your account and view combined performance. Free users get 10 wallets, Insiders get unlimited. The portfolio page shows aggregated P&L, volume, win rate, predictions count, and total portfolio value across all linked wallets.
A combined P&L chart merges daily data from every wallet into a single equity curve. Below that, a table breaks out per-wallet performance so you can see which wallets are pulling their weight.
Label wallets for easy identification — "Main", "Bot", "DCA", "Election Fund" — whatever makes sense for your setup.
Make your portfolio public and share a unique link. Viewers see your aggregated stats and P&L chart. You can optionally hide wallet addresses while still showing the combined performance, and give your portfolio a custom name.
Watchlist
Track up to 50 traders from a single dashboard. Visit any profile, click "Watch", and they appear on your watchlist with live P&L, win rate, and volume. When multiple watched traders converge on the same market, something might be up.
Alerts
Set up automated notifications for the traders and conditions you care about. Three alert types:
New Trade alerts notify you whenever a tracked trader makes any trade. Set a P&L threshold and you'll know when a trader's daily P&L crosses a dollar amount you define. Rank change alerts fire when a trader's leaderboard position shifts up or down.
Compare traders
Side-by-side comparison of multiple traders. Add any traders by search and see their P&L, win rate, volume, grade, and risk metrics in a single table. Answer "who's actually better?" with data instead of gut feel.
Search
Hit Cmd+K (or Ctrl+K) anywhere to search across the entire platform. Find traders by username or wallet address. Results show P&L, grade, and a profile preview. Jump to any profile in one click.
Datasets
Download complete trader datasets as JSON. Includes trades, P&L history, market positions, and analytics. Build your own models, run your own analysis, or integrate with your trading tools.
Learn hub
Educational guides on prediction market strategies, trading approaches, and platform analysis. In-depth pages on each of the nine strategy types, a glossary of key terms, and a detailed Polymarket vs. Kalshi comparison. Not theory — practical frameworks for people who trade.
Now available to everyone
The product is live, the data is real, and we ship improvements every week.
If you've ever stared at a Polymarket leaderboard and wondered "how is this person making money?" — that's the question we built 0xinsider to answer.