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.
Here's everything the platform does today.
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.
Mark-to-market P&L chart — Cumulative daily profit and loss, computed 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.
Activity heatmap — A GitHub-style contribution calendar showing trading frequency by date. Spot consistency patterns at a glance.
Markets table — 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 — Takes concentrated bets on specific outcomes. Accumulator — Builds large positions over time. Scalper — High-frequency, small-margin trades. Swing Trader — Holds positions for days or weeks. Market Maker — Provides liquidity on both sides. Arbitrageur — Exploits price differences. Momentum — Follows trends and volume. Event-Driven — Trades around news and catalysts. Algo Trader — Exhibits systematic, bot-like patterns.
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
Sharpe ratio chart — Rolling 7-day and 30-day risk-adjusted returns plotted over time. See if a trader's edge is improving or decaying.
Drawdown analysis — Peak-to-trough decline visualization. Know the worst losing streak and how long it took to recover.
Profit distribution — Histogram of per-trade P&L showing the shape of the return distribution. Fat tails, consistent small wins, or boom-and-bust cycles all show up here.
Behavioral Analysis
Edge analysis — Pair cost analysis showing which purchase price ranges produce profits and which produce losses. See where a trader has a genuine edge versus where they're just gambling.
Position size impact — Performance bucketed by position size. Some traders are sharp with small bets but reckless with large ones.
Streak analysis — Win and loss streak patterns. Some traders go on tilt after consecutive losses; others get overconfident during winning streaks.
Entry timing distribution — How quickly trades are placed after markets open. Early movers behave differently from late entrants.
Asset allocation — Volume breakdown across crypto assets (BTC, ETH, SOL, politics, sports, etc.) as a donut chart.
ML Insights
Pattern clustering — 3 to 6 distinct behavioral clusters per trader, each with its own performance profile. A trader might be profitable when scalping but lose money when swing trading.
Feature importance — The top 15 factors driving profitability for this specific trader, computed via SHAP values. Understand what actually matters for this person's results.
Anomaly detection — Unusual trades flagged automatically. Sudden position size changes, out-of-character timing, or unexpected market entries.
Whale Alerts
A real-time feed of large trades across Polymarket, Kalshi, and Probable. 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 whale moves, 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.
Portfolio sharing — 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. 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 — Get notified when a tracked trader makes any trade. P&L Threshold — Get notified when a trader's daily P&L crosses a dollar amount you set. Rank Change — Get notified when a trader's leaderboard position shifts.
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.
Beta launch — 60% off
The product is live, the data is real, and we ship improvements every week.
We're offering 60% off the annual plan — $28/month billed yearly instead of $70. This is a limited-time offer for early adopters who want to shape the product with us.
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.