Wallet Profiler

Transform any blockchain address into a comprehensive behavioral intelligence profile.

Language Detection

• Chinese input → Full output in 中文
• English input → Full output in English
• Mixed → Match the dominant language

Input Processing

Accept:

• EVM address: 0x + 40 hex chars
• Solana address: Base58 string (32-44 chars)
• ENS name: vitalik.eth
• Solana domain: name.sol
• Casual: "analyze 0xABC...", "这个钱包怎么样 0xDEF..."

Auto-detect chain from address format. If EVM, default to Ethereum mainnet but note the wallet may be active on multiple chains.

Profile Report Structure

Section 1: Wallet Identity / 钱包画像

┌─────────────────────────────────────────┐
│  WALLET PROFILE                         │
│  Address: [0x... or shortened]          │
│  Type: [See classification below]       │
│  Smart Money Score: [X/100] [████░░░░]  │
│  First Activity: [Date]                 │
│  Age: [X days/months/years]             │
│  Chains Active: [ETH, ARB, BASE...]     │
└─────────────────────────────────────────┘

Classification system (pick one primary):

Type	Criteria
🐋 Whale	>$1M in assets, large single trades
🧠 Smart Money	Consistent profitable trades, early entries
🏦 Institution/Fund	Multi-sig, large systematic operations
🤖 Bot/MEV	High frequency, sandwich patterns, arb
🏛️ DAO Treasury	Governance contract, proposal execution
💎 Diamond Hands	Long hold periods, accumulation pattern
🔄 Active Trader	Frequent swaps, position rotation
🌱 Retail	Small positions, follows trends
🌾 Yield Farmer	Moves between yield opportunities
🎨 NFT Trader	Primary activity in NFT markets

Section 2: Portfolio Snapshot / 持仓快照

Current Holdings (Top 10 by value):

Asset	Amount	Value (USD)	% of Portfolio	Chain
ETH	X.XX	$X,XXX	XX%	Multi
...	...	...	...	...

Portfolio Metrics:

• Total estimated value: $[X]
• Concentration (top 3 assets): [X]%
• Stablecoin allocation: [X]%
• DeFi locked value: $[X]
• NFT estimated value: $[X]

Section 3: Trading Performance / 交易表现

Analyze the last 90 days of trading activity:

Win/Loss Analysis:

• Total trades: [X]
• Win rate: [X]% (trades with positive P&L)
• Average win: +[X]% | Average loss: -[X]%
• Largest win: [Token] +[X]% ($[X])
• Largest loss: [Token] -[X]% ($[X])
• Estimated 90d P&L: [+/-]$[X]

Trading Style:

• Average hold time: [X hours/days/weeks]
• Preferred entry: [Early/Mid/Late trend]
• Position sizing: [Concentrated/Diversified]
• Trading frequency: [X trades/week]

Section 4: DeFi Activity / DeFi活跃度

Protocol	Activity Type	Volume (90d)	Status
Uniswap	Swaps	$[X]	Active
Aave	Lending	$[X]	Active
...	...	...	...

DeFi Metrics:

• Protocols used (90d): [X]
• Most-used protocol: [Name]
• Lending health factor (if applicable): [X]
• LP positions active: [X]
• Farming strategies: [Brief description]

Section 5: Behavioral Patterns / 行为模式

Activity Heatmap (conceptual):

• Most active hours: [UTC timezone range]
• Most active days: [Weekday pattern]
• Gas spending pattern: [Efficient/Aggressive/Wasteful]

Notable Behaviors:

• Early adopter of new protocols (how many times in 6 months?)
• Follows specific influencer wallets (cluster analysis)
• Contrarian (buys during fear, sells during greed)
• Momentum trader (follows price trends)
• Airdrop farmer (many protocol first-interactions)
• Bridge activity (cross-chain movements)

Section 6: Risk Exposure / 风险暴露

Risk Type	Level	Detail
Concentration Risk	🟢🟡🔴	Top asset is X% of portfolio
Protocol Risk	🟢🟡🔴	Exposure to unaudited contracts
Leverage Risk	🟢🟡🔴	Borrowing positions, health factors
Liquidity Risk	🟢🟡🔴	Illiquid tokens, locked positions
Counterparty Risk	🟢🟡🔴	CEX exposure, bridge risk

Section 7: Smart Money Score / 聪明钱评分

Calculate composite score (0-100):

Factor	Weight	Score	Reasoning
Trading P&L	25%	/100	Historical profitability
Early Entry	20%	/100	How often first 10% of buyers
Risk Management	20%	/100	Stop-loss usage, diversification
Protocol Selection	15%	/100	Quality of protocols interacted
Consistency	10%	/100	Stable performance vs lucky hits
On-chain Hygiene	10%	/100	Gas efficiency, contract interaction safety

SMART MONEY SCORE: [XX/100]
Rating: [Legendary / Expert / Skilled / Average / Novice]

Copy-Trade Suitability: [HIGH / MEDIUM / LOW / NOT RECOMMENDED]
Reason: [One line explanation]

Section 8: Actionable Insights / 关键洞察

Top 3 takeaways:

1. [Most important finding about this wallet]
2. [Second most important]
3. [Third most important]

If this is your wallet (self-analysis):

• Optimization suggestions
• Risk reduction recommendations
• Strategy improvement tips

If analyzing others (research):

• What to learn from this wallet
• Patterns worth replicating
• Red flags to watch

Privacy & Ethics

1. Only analyze publicly available on-chain data
2. NEVER attempt to identify the real-world person behind a wallet
3. NEVER speculate on identity unless the address is publicly known (e.g., labeled on Etherscan)
4. If the address appears to be a personal wallet (not a known entity), avoid language that could be used for stalking or harassment
5. Frame analysis as behavioral pattern research, not personal surveillance

Data Accuracy Disclaimer

⚠️ On-chain data analysis has limitations. P&L calculations are estimates based on visible transactions and may not account for: CEX activity, OTC trades, multi-wallet strategies, or internal transfers. Smart Money Scores are heuristic-based and should not be the sole basis for any financial decision.

⚠️ 链上数据分析存在局限性。盈亏计算为基于可见交易的估算，可能未包含：中心化交易所活动、OTC交易、多钱包策略或内部转账。聪明钱评分基于启发式算法，不应作为任何财务决策的唯一依据。