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Leaderboard

A leaderboard in prediction markets is a ranked list of traders ordered by performance metrics such as profit and loss (PnL), return on investment, or win rate over a defined time period. Both Kalshi and Polymarket feature native leaderboards, and third-party analytics platforms aggregate rankings across multiple venues.

Updated June 24, 2026Platforms & Tools
TL;DR
Prediction market leaderboards rank traders by PnL or ROI, revealing top performers and enabling strategy discovery, copy-trading inspiration, and competitive benchmarking.

Key Points

Kalshi publishes a native leaderboard accessible at kalshi.com/social/leaderboard, filterable by weekly, monthly, and all-time time frames.
Polymarket leaderboard data is publicly available on-chain, enabling third-party platforms like PredictFolio, PolymarketDash, and Predicting Top to build richer analytics.
Metrics displayed typically include total PnL, ROI percentage, win rate, number of trades, and volume traded.
Third-party leaderboard tools allow traders to inspect the full position history and portfolio of any ranked wallet address on Polymarket.
Leaderboards can inform copy-trading decisions, though past performance on prediction markets does not guarantee future results due to the episodic nature of events.

Native vs. Third-Party Leaderboards

Kalshi provides a first-party leaderboard built into its platform, ranking verified accounts by PnL over selectable periods. Because Kalshi is a centralized exchange, the leaderboard reflects internally tracked account performance. Polymarket, as a Decentralized Prediction Market, makes all trade data publicly verifiable on-chain, which has spawned a ecosystem of third-party leaderboard and analytics platforms. Sites such as Predicting Top, PredictFolio, and PolymarketAnalytics rank wallets by ROI, win rate, and volume, and allow users to drill into any wallet's complete Position history and trade-by-trade PnL. This transparency is a structural advantage of on-chain settlement: no trader can hide their record.

How Leaderboard Rankings Are Calculated

Most leaderboards sort by absolute PnL (total dollars gained or lost) or ROI (return as a percentage of capital deployed). Some platforms add composite scores weighting win rate, Trading Volume, and Open Interest commitment to surface consistent performers rather than one-trade wonders. On Polymarket, because positions are pseudonymous wallet addresses, a single trader can split activity across multiple wallets to obscure their true standing. Leaderboard platforms attempt to detect this via on-chain clustering analysis. On Kalshi, identity is tied to a verified account via KYC, so the leaderboard reflects actual named accounts, though the displayed name may be a username. Time-framed rankings (weekly, monthly) are more actionable for identifying traders with current Edge in active markets.

Using Leaderboards for Strategy Research

Sophisticated traders use leaderboard data as a research tool to identify Sharp Money and assess market Calibration. By examining which markets a top trader is active in and at what prices they entered, observers can infer where the market may be mispriced. This is a form of informed Information Aggregation. Some third-party tools go further with wallet-tracking alerts that notify followers when a high-ranking wallet opens a new Position. This is conceptually similar to copy-trading in traditional finance, though prediction market contracts are discrete events with defined Market Expiry dates rather than open-ended positions. For platform operators, leaderboards also serve as a retention mechanism, encouraging competitive engagement and repeat trading.

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