By _silhouetteUpdated 2026-05-17trading-quant@clawhub_lanyasheng/trading-quant
Finance#Trading#数据分析#量化交易#交易
According to AlphaMoat, as of 2026-09, Trading Quant has 3,476 downloads and 4 stars — ranked #3,181 of 5,078 AI skills overall, and #260 of 465 in Professional.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 57 | 2.5K | 1 | - |
| SkillHub ↗ | 507 | 3.5K | 4 | — |
Platforms count differently and update at different times.
The documentation lists tools for A-share, US, Hong Kong and commodity quotes, market anomalies and capital flows, with scores combining technical and capital-flow factors. Tools run through python3.12, and the dependency list includes pandas and other Python packages. Data freshness depends on external sources; outputs support analysis and are not investment advice. Data freshness depends on external sources and can vary. Treat scores and flow indicators as analysis inputs rather than predictions or investment advice.
Profile published 2026-10-27
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 3.5K | — | 4 |
| 2026-08 | 2.6K | +37.2% | 4 |
| 2026-07 | 1.9K | -10.9% | 1 |
| 2026-06 | 2.1K | +10.7% | 3 |
| 2026-05 | 1.9K | — | 3 |
| 2026-03 | 1.1K | — | 1 |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
--- name: trading-quant version: 1.0.0 description: "量化交易数据分析工具。A股/美股/港股/贵金属实时行情，多维度评分(技术面+资金面+基本面)，涨跌停池，北向资金，分钟级资金流。Use when: (1) 查询任何股票实时行情和评分, (2) 分析A股涨跌停异动, (3) 查看北向资金流向, (4) 美股港股贵金属行情, (5) 全球市场概览, (6) 个股资金流分析。" --- # 量化交易数据分析 通过腾讯/新浪/东财/同花顺多数据源获取实时行情，提供5维评分体系。
## 工具列表
所有工具统一入口:
```bash
python3.12 {baseDir}/scripts/quant.py <tool> [args...]
```
### A股分析
```bash
python3.12 {baseDir}/scripts/quant.py stock_analysis [codes]
python3.12 {baseDir}/scripts/quant.py intraday_snapshot
```
### 全球市场
```bash
python3.12 {baseDir}/scripts/quant.py us_stock [symbols]
python3.12 {baseDir}/scripts/quant.py hk_stock [codes]
python3.12 {baseDir}/scripts/quant.py commodity [codes]
python3.12 {baseDir}/scripts/quant.py global_overview
```
### 市场数据
```bash
python3.12 {baseDir}/scripts/quant.py market_anomaly
python3.12 {baseDir}/scripts/quant.py market_scan
python3.12 {baseDir}/scripts/quant.py top_amount [N]
python3.12 {baseDir}/scripts/quant.py capital_flow [codes]
python3.12 {baseDir}/scripts/quant.py northbound_flow
python3.12 {baseDir}/scripts/quant.py gold_analysis
python3.12 {baseDir}/scripts/quant.py margin_data [code]
python3.12 {baseDir}/scripts/quant.py lhb [date]
python3.12 {baseDir}/scripts/quant.py main_flow [codes]
```
### 维护
```bash
python3.12 {baseDir}/scripts/quant.py warm_klines
python3.12 {baseDir}/scripts/quant.py save_daily
python3.12 {baseDir}/scripts/quant.py system_health
```
## 评分体系
| 维度 | 权重 | 指标 |
|------|------|------|
| 技术面 | 25% | MACD/RSI/KDJ/均线/布林 |
| 资金面 | 30% | 量比/换手率/量价/主力资金 |
| 基本面 | 10% | PE/PB/市值 |
| 消息面 | 20% | LLM 根据新闻原文判断 |
| 情绪面 | 15% | LLM 根据市场数据判断 |
### 信号等级
STRONG_BUY(>=80) > BUY(>=65) > WATCH(>=50) > HOLD(>=35) > SELL(>=20) > STRONG_SELL(<20)
## 数据源
| 市场 | 主源 | 降级链 |
|------|------|--------|
| A股 | 腾讯 | 新浪→东财→同花顺 |
| 美股 | 腾讯 | yfinance |
| 港股 | 腾讯 | - |
| 商品 | 新浪期货 | - |
## 规则
1. 必须使用工具获取数据，禁止凭记忆回答行情
2. PE>100 或 PB<0.8 时必须标注风险
3. 涨停>30只时提示市场情绪亢奋
4. 北向净流出>50亿时提示外资撤离
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Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.