Trader Profiles

Profiles are available for indexed Polymarket wallets that Polyanna can summarize, including traders surfaced through leaderboards, Whale Radar, Smart-Money Signals, and address search.

Overview#

Use a profile to separate headline PnL from the behavior behind it: where a trader wins, how concentrated those wins are, whether position sizing is disciplined, how severe drawdowns get, and whether the wallet looks automated. Polyanna builds this from indexed Polymarket filled orders and market metadata, so the page reads more like a trader research memo than a transaction ledger.

Leaderboard Ranks#

Profile headers show the trader's current leaderboard ranks, such as “#3 Most Consistent”, in a compact rank ribbon. Opening the ribbon shows every rank included on the profile, and each option links back to the homepage with the matching leaderboard selected and that trader highlighted in the table.

Profile Analysis#

Polyanna turns filled orders into performance attribution, strategy clues, bot-behavior context, and risk signals. The analysis highlights strongest and weakest themes, biggest winning and losing markets, strategy profile, bot signal breakdowns, drawdowns, and recovery behavior.

Biggest Winning & Losing Markets#

The single most profitable and most costly market outcomes. These highlight the extremes of a trader's results — useful for assessing whether performance is driven by one large market or consistent edge across many positions.

Average Position Size#

The mean USD value per filled order. Small position sizes with high volume suggest automated execution or market-making. Large positions with few trades suggest high-conviction directional bets. This metric helps characterize a trader's risk appetite and execution style.

Average Trades per Market#

The average number of filled orders per distinct market. A value near 1 means the trader enters once and holds — buy-and-hold style. Higher values (10+) indicate active position management, scaling in/out, or algorithmic scalping. Combined with bot probability, this helps distinguish between human discretionary traders and automated systems.

Hourly Activity#

The 24-hour histogram shows when the trader's filled orders usually occur, including hours with no activity. The chart can be viewed in the browser's local timezone or a selected timezone.

Win & Loss Streaks#

The longest consecutive sequences of winning and losing markets, ordered by each market's latest fill. Extended win streaks suggest consistent edge or favorable market conditions. Extended loss streaks reveal drawdown resilience — a trader who survives a 12-market losing streak and recovers is very different from one who blows up after 3 losses.

Performance Attribution#

Performance attribution groups related market themes to answer a more useful question than raw exposure: not just “what did this trader touch?” but “where did they add or lose edge versus the profiled baseline?”

• Strongest Signals — the top above-baseline market themes by edge, attempts, and PnL
• Weakest Signals — where the trader underperforms the profiled baseline
• All Signals Table — signal, attempts, win rate, baseline, edge, PnL, and confidence

This attribution view is all-time only and uses conservative thresholds so the surface stays trustworthy. The profile keeps this view focused on strengths, weak spots, and the sortable signal table.

PnL Concentration#

The share of total PnL impact coming from the top 3 markets (by absolute PnL). High concentration (>80%) means results depend on a few big bets rather than a repeatable strategy. This stays useful alongside attribution because market concentration answers a different question than theme-level strengths.

PnL Chart#

The cumulative PnL chart shows the trader's equity curve over time, computed from Polyanna's own mark-to-market enrichment pipeline. It answers the core question: "How much has this trader made?"

Strategy, Bot Behavior & Risk#

Strategy, automation, and risk metrics explain whether the pattern behind a wallet's returns is repeatable. See the Analysis Methodology docs for the formulas and thresholds behind them. This includes:

• Strategy Profile — rule-based classification of the trader's approach (market maker, sniper, specialist, etc.) with transparent evidence
• Bot Behavior Breakdown — decomposition of bot detection signals into frequency, activity pattern, sizing regularity, and order type
• Risk Deep Dive — drawdown analysis, profit factor, and risk assessment for copy-trading decisions

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Bot Badge#

Profiles with a high bot probability show a badge in the header. This is a heuristic estimate, not a definitive classification — see the bot detection docs for details.