Introducing 0xinsider: The Complete Analytics Platform for Prediction Markets

Tracked Polymarket wallets get an analytics profile built from their history: P&L, win rate, volume, market count, open-position value, and portfolio context, each stamped with how fresh it is.

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.

Our leaderboard ranks by realized profit, the money actually banked, not by the headline number on screen. A trader who shows $100K riding in one open, unsettled bet ranks below someone who has actually banked steady winnings over a real track record.

The scoring system leads with realized profit (the money a wallet has actually banked, all-time P&L minus value still tied up in open positions), which is about 95 percent of the grade and what ranks the public board (grades S, A, and B). The remaining roughly 5 percent is a tie-breaker from forecasting calibration, risk-adjusted returns, win rate, and drawdown and consistency, and it only separates wallets with near-identical banked profit. Guardrails keep the board honest: any grade above C requires verified net-positive realized profit, and the top grades also require a real resolved-market track record plus a survivable worst drawdown, so a wallet on large unrealized open gains, or with only a handful of resolved markets, is screened off the board. Among wallets that clear the guardrails, banked profit sets the tier ($1M+ into S, $250K+ into A, $100K+ into B). Small samples are held back with Wilson lower bounds and shrinkage so traders with thin history don't get inflated scores.

Every tracked Polymarket wallet with enough history gets a composite score and letter grade under the current model. Filter the board by grade, volume, or score range.

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.

For Pro subscribers, every profile opens 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.

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.

Link your Polymarket wallet addresses to your account and view combined performance. Accounts without Pro get 10 wallets; Pro accounts 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.

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.

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.

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.

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.

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.

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.

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.