GodEye (godeye.fun) is one of the most powerful on-chain analytics tools for Polymarket. Its wallet profiles provide deep behavioral and performance data that most simple leaderboards miss. Understanding these metrics is essential for anyone doing copy-trading, building mirror bots, or evaluating potential alpha sources.
The Header Metrics (Surface-Level Filter)
- Total P&L — Raw profitability
- Win Rate — Directional accuracy
- Number of Trades — Sample size (too low = statistically meaningless)
- Active Days — Longevity and consistency
These numbers are useful for initial filtering but tell you almost nothing about copyability or edge quality. Move beyond them quickly.
The Two Most Important Scores
Copyability Score (0–100)
The single highest-leverage metric. It answers: “If I copy this wallet with normal-sized capital, will the strategy actually scale and perform similarly?”
- >75 → Generally copyable for retail accounts
- >85 → Excellent scalability
- <60 → High risk of poor mirroring (concentrated illiquid bets, oversized positions, etc.)
High absolute P&L with low Copyability Score usually means the wallet takes massive concentrated bets that don’t translate to smaller accounts.
Insider Score (0–100)
Measures statistical unusualness of timing and accuracy patterns (not literal insider trading). High scores indicate wallets that consistently enter before major price movements or win on low-probability outcomes more often than random.
- >70 → Notable timing/information edge
- >80 → Rare and very strong
Key Behavioral Charts
1. Trading Hours Distribution
Reveals bot vs human:
- Flat 24/7 distribution → Bot-driven (liquidity provision, arbitrage, mirroring)
- Clustered peaks → Human (domain expertise, narrative trading)
- Hybrid → Human with automated components
2. Position Sizing Chart
Shows discipline level:
- Precise non-round sizes (e.g., $47.83, $213.06) → Algorithmic / Kelly-based sizing (highly copyable)
- Consistent round sizes with occasional conviction bumps → Disciplined human
- Wild variance with no pattern → Emotional trading (usually avoid)
3. Category Distribution
Specialist vs Generalist:
- Heavy concentration (70–90% in 1–2 categories) → Specialist with real edge
- Flat distribution → Generalist (weaker performance on average)
4. Timing Scatter Plot
The most insightful chart. Plots every trade against time-to-resolution at entry.
- Random scatter → No timing edge
- Tight cluster (e.g., 4–8 days before resolution) → Systematic information/timing edge
Wallets with tight clusters in specific time windows are often positioning ahead of information diffusion.
How to Evaluate a Wallet in ~60 Seconds
- Header → Profitable + sufficient sample size?
- Copyability Score → >75?
- Insider Score → >65–70?
- Trading Hours → Bot or human? (decides portfolio role)
- Position Sizing → Algorithmic or disciplined?
- Category Distribution → Clear specialty?
- Timing Scatter → Evidence of systematic edge?
Wallets that pass most of these filters are significantly higher quality than those selected purely by P&L.
For Bot Builders & Copy-Trading Systems
- Prioritize wallets with high Copyability + moderate-to-high Insider Score
- Implement category filtering in your mirroring logic
- Use timing scatter patterns to build regime-aware entry windows
- Track Copyability Score decay over time as a leading indicator of strategy degradation
GodEye turns raw on-chain data into actionable trader psychology and edge diagnostics. Once you learn to read these profiles fluently, your wallet selection quality improves dramatically compared to simple P&L leaderboards.
The best copy targets are rarely the ones at the very top of raw profit rankings. They’re the ones that combine scalability, discipline, and repeatable behavioral patterns.
If you have more questions, please feel free to contact me at any time: https://t.me/FatherSon97
Tags: #Polymarket #GodEye #CopyTrading #WalletAnalysis #PredictionMarkets #QuantitativeTrading #DeFi #Web3 #Fintech
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