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Trader Intelligence

The deepest trader-intelligence read in prediction markets.

0xinsider turns every Polymarket and Kalshi wallet into a full intelligence read: quality of edge, risk tolerance, execution patterns, and the exact conditions where the strategy works or breaks.

What a good profile should answer

Three questions before you trust the next print.

Is the trader actually skilled?

Sharpe, Sortino, drawdown control, expectancy, and markout analysis separate one hot run from durable edge.

Where does the edge come from?

Pattern clustering, category splits, entry timing, and feature-importance analysis show what is really driving the profits.

Can the behavior survive stress?

Position-size impact, streak analysis, anomaly flags, and drawdown depth reveal when a profile stops being copyable.

Inside the Insider reportPer trader

One profile, one operator-grade read.

The goal is not to show more charts for the sake of it. The goal is to tell you whether the trader has real edge, where it comes from, and whether the behavior can survive real capital.

24 trader-intelligence modules
40+ quant and behavioral metrics
Polymarket + Kalshi profiles
Comparison

Public trackers show you who won. We show you how to win more.

A P&L number and a trade count tell you nothing about how a trader makes money, when their edge is live, or whether you can replicate it. Our analytics answer all three.

Public trackers
Total P&L
Trade count
Win rate
Basic trade list
Insider
0xinsider Analytics
ML pattern clustering
Sharpe & Sortino ratios
Drawdown analysis
Edge detection
SHAP feature importance
Streak & momentum analysis
Position size impact
Hourly performance breakdown
Win rate heatmap
Entry timing distribution
Asset allocation
Anomaly detection
Composite scoring (0-100)
Trader classification
Profit distribution
Kelly fraction & VaR
Category performance splits
Comparative benchmarks
Rolling expectancy
Copyability score
Markout analysis (1h/24h/7d)
P&L source breakdown
PnL calendar
Risk profile overview

24 analytics modules across 3 intelligence sections — per trader.

Intelligence layers

Three layers of intelligence on every profile.

Each section answers a different job: where the edge comes from, how the strategy works, and whether the behavior can survive pressure.

Trading EdgeFind the patterns humans miss
Pattern Clustering
ML groups all trades into behavioral clusters — showing 3-6 distinct strategies per trader with win rates, avg profit, and position sizing for each.
Edge Detection
Pair cost analysis reveals which price ranges produce profit vs. loss. See where a trader's edge lives instantly.
Profit Distribution
Histogram of per-trade P&L showing the exact shape of a trader's returns — fat tails, tight clusters, or wide variance.
Streak Analysis
Win/loss streak lengths, averages, and ratios. Understand momentum patterns and whether drawdowns are typical or anomalous.
Position Size Impact
Does this trader perform better with large or small positions? Bucketed analysis reveals optimal sizing patterns.
Strategy BreakdownUnderstand exactly how they trade
Category Allocation
Donut chart breakdown of volume across market categories — crypto, politics, sports, economics, and more — showing concentration and diversification.
Entry Timing
Distribution of how fast a trader enters after market open. Sub-second entries signal automation; delayed entries signal conviction.
Win Rate Heatmap
24-hour grid showing win rate by hour of day. Identifies when a trader performs best — and when they should stop.
Pair Cost Distribution
Histogram of combined YES+NO purchase costs. Costs below $1.00 = profit territory. Above = loss territory.
Trader IntelligenceQuantify skill vs. luck
Composite Scorecard
0-100 score combining risk-adjusted returns (Sharpe), drawdown containment, and consistency — with an F-to-S letter grade.
Rolling Sharpe Ratio
7-day and 30-day rolling risk-adjusted performance. See when a trader's edge is strong and when it's deteriorating.
Drawdown Analysis
Peak-to-trough visualization showing the depth and duration of every decline. Separates disciplined traders from reckless ones.
SHAP Feature Importance
Machine learning explainability showing the top 15 factors driving this trader's profitability — what actually matters.
Anomaly Detection
Flags the most unusual trades by anomaly score. See when traders deviate from their own patterns.
Profile snapshot

A trader report should be legible in one screen.

The first surface should tell you the trader grade, strategy shape, and risk profile fast enough to decide whether deeper investigation is worth your time.

Sample summary
Composite gradeS (92/100)
Trader archetypeArb specialist · 97% confidence
Sharpe (30d)2.41
Max drawdown-$4,200 (0.8%)
Kelly fraction0.34
Win rate89.2%
Why it matters

Grade without context is not enough.

The grade is the headline, but the report is what lets you trust it. You need the score, the reasons behind it, and the signs that the behavior is stable.

Repeatability beats one-off wins.

A profitable trader can still be uncopyable. Timing sensitivity, category concentration, drawdown profile, and position-size dependence tell you whether the returns can travel.

The goal is better decisions, not more dashboards.

Every module exists to answer a trading question: skill versus luck, edge source, risk tolerance, and whether the wallet deserves your attention now.

Every metric

The full scorecard on every profile.

Available when the trader has enough history to measure the pattern with confidence.

Sharpe ratio (7d/30d)
Sortino ratio
Max drawdown
Drawdown duration
Profit factor
Kelly fraction
Value-at-Risk (95%)
Value-at-Risk (99%)
Win rate (all/7d/30d)
Average daily P&L
Best day / worst day
Win-loss streak ratio
Composite grade (0-100)
Trader archetype
Bot confidence score
Data depth confidence
SHAP importance
Anomaly scores
Markout (1h/24h/7d)
Rolling expectancy
Copyability score
Category splits
P&L source breakdown
Comparative benchmarks
Next step

Buy the trader context, not just the winner list.

Insider unlocks the analytics that tell you who deserves attention, where the edge lives, and when the behavior is no longer trustworthy.