Overview
- Skill Key
- future1001/polymarket-user-analyzer
- Author
- future1001
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/future1001/polymarket-user-analyzer
- Latest Commit SHA
- 07309dd462668a7ad2de00e8496487b630b23cd2
Analyze Polymarket user trading strategies and patterns. Extract wallet address from username, fetch trading history, and generate comprehensive strategy reports including win rate, market preferences, position sizing, entry price analysis, and profitability metrics. Use when asked to analyze a Polymarket user's strategy, trading patterns, or performance.
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 polymarket-user-analyzer 技能。 若已安装,则直接安装 polymarket-user-analyzer 技能。
# Polymarket User Analyzer
Analyze any Polymarket user's trading strategy by their username or wallet address.
## What This Skill Does
1. Extracts wallet address from Polymarket username
2. Fetches complete trading history via Polymarket Data API
3. Analyzes trading patterns and strategy characteristics
4. Generates comprehensive performance reports
## Quick Start
```bash
# Analyze by username
node scripts/analyze_user.js @vague-sourdough
# Analyze by wallet address
node scripts/analyze_user.js 0x8c74b4eef9a894433B8126aA11d1345efb2B0488
# Save detailed report
node scripts/analyze_user.js @username --output report.json
```
## Analysis Metrics
The analyzer provides:
### Basic Statistics
- Total trades executed
- Total capital deployed
- Average position size
- Trading frequency
### Market Preferences
- Market type distribution (politics, sports, crypto, etc.)
- Specific asset focus (BTC, ETH, SOL, etc.)
- Market duration preferences (5-min, hourly, daily, long-term)
### Trading Patterns
- Direction bias (bullish/bearish)
- Entry price distribution (contrarian vs momentum)
- Position sizing strategy (fixed vs dynamic)
- Time-of-day patterns
### Performance Metrics
- Total P&L (profit/loss)
- ROI (return on investment)
- Win rate (if calculable from redeems)
- Risk-adjusted returns
### Strategy Classification
The analyzer identifies common strategy types:
- **Value Investor**: Buys underpriced outcomes (low entry prices)
- **Momentum Trader**: Follows market trends (high entry prices)
- **Arbitrageur**: Exploits pricing inefficiencies
- **Scalper**: High-frequency small positions
- **Conviction Trader**: Large positions, low frequency
## API Reference
### Polymarket Data API
**Get wallet address from username:**
```javascript
// Fetch user profile page and extract address
const response = await fetch(`https://polymarket.com/@${username}`);
const html = await response.text();
const address = html.match(/0x[a-fA-F0-9]{40}/)[0];
```
**Get trading history...
# Polymarket User Analyzer Skill ## 📊 功能 分析任何 Polymarket 用户的交易策略和表现,生成详细的策略报告。 ## ✨ 特性 - 从用户名自动提取钱包地址 - 获取完整交易历史 - 分析交易模式和策略特征 - 计算盈利表现和 ROI - 识别策略类型(价值投资、动量交易、套利等) ## 📦 安装 1. 下载 `polymarket-user-analyzer.skill` 文件 2. 在 OpenClaw 中安装: ```bash openclaw skills install polymarket-user-analyzer.skill ``` ## 🚀 使用方法 ```bash # 分析用户(通过用户名) node scripts/analyze_user.js @vague-sourdough # 分析用户(通过钱包地址) node scripts/analyze_user.js 0x8c74b4eef9a894433B8126aA11d1345efb2B0488 # 保存详细报告 node scripts/analyze_user.js @username --output report.json # 获取更多交易记录 node scripts/analyze_user.js @username --limit 200 ``` ## 📈 分析指标 - **基本统计**: 交易次数、总投入、平均仓位 - **市场偏好**: 市场类型分布、资产分布 - **交易模式**: 方向偏好、入场价格分析、仓位管理 - **表现指标**: 总盈亏、ROI、胜率 - **策略分类**: 自动识别策略类型 ## 🔒 隐私说明 本工具仅分析公开的链上数据。Polymarket 的所有交易都是公开的,任何人都可以查看。 本工具: - ✅ 不访问私人信息 - ✅ 不需要认证 - ✅ 不存储或传输数据到外部服务器 - ✅ 不违反任何服务条款 ## 📝 示例输出 ``` ====================================================================== 📊 Polymarket Strategy Analysis: @vague-sourdough ====================================================================== 【Overview】 Wallet: 0x8c74b4eef9a894433B8126aA11d1345efb2B0488 Total Trades: 25 Capital Deployed: $125.00 Average Position: $5.00 Position Sizing: Fixed 【Strategy Classification】 Type: Systematic Scalper (fixed size, high frequency) 【Market Focus】 Short-term Crypto: 25 trades (100.0%) 【Performance】 Total Invested: $125.00 Total Redeemed: $252.39 Net P&L: $127.39 ROI: 101.91% ====================================================================== ``` ## 🎯 使用场景 - 学习成功交易者的策略 - 研究市场参与者行为 - 验证声称的交易表现 - 开发自己的交易策略 - 分析市场情绪和定位 ## 📄 License...
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