据 AlphaMoat 统计,截至 2026-09,stock_data 累计下载 3,268 次、获 2 个星标,在全部 5,078 个 AI 技能中排名第 3,480 位,在「专业领域」分类(465 个)中排名第 282 位。
| 平台 | 累计安装 | 累计下载 | 星标 | 评论 |
|---|---|---|---|---|
| ClawHub ↗ | 89 | 3,079 | 2 | - |
| SkillHub ↗ | 209 | 3,268 | 2 | — |
各平台的计数口径不同,统计时间不一致。
v2.0 覆盖价格目标、1d 至 5yr 全部回报、内部人活动、利润率、健康/资产负债表、增长率、预测、52 周区间与波动率,v1.3.0 起改为直接 HTTP 抓取、无需 API key。经 python3 skill.py {TICKER} {EXCHANGE} 运行,输出结构含 company、price(beta5Y、52 周区间、日标准差)、returns(1d/7d/30d/90d/ytd/1yr/3yr/5yr/sinceIPO)、valuation、financials、margins、growth、dividend、forecast、priceTarget(一致目标价与分析师数)、health、insiders、snowflake(各项 0-6)与 recentEvents(最多 5 条)。支持交易所 IDX、NASDAQ、NYSE、ASX、LSE、TSX、SGX、TSE、HKSE、KRX;数据来源为解析页面内嵌 __REACT_QUERY_STATE__,价格每日更新、财务按季度更新。配套 skill-card 提醒:ticker 与交易所查询会发送至 SimplyWall.st;返回为第三方金融数据,可能不完整或延迟,不应作为投资建议,重大决策需对照权威市场数据或公告核对。股票代码和交易所查询会发送给 SimplyWall.st;返回的金融数据可能延迟或不完整,也不构成投资建议。重要决策应以权威数据核实。
资料发布于 2026-10-27
以下是根据技能文档生成的示例,不代表实际运行结果。
2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。
| 月份 | 累计下载 | 环比 | 星标 |
|---|---|---|---|
| 2026-09 | 3,268 | — | 2 |
| 2026-08 | 2,941 | +6.1% | 2 |
| 2026-07 | 2,772 | +12.2% | 2 |
| 2026-06 | 2,471 | +12.0% | 2 |
| 2026-05 | 2,207 | — | 2 |
| 2026-03 | 1,301 | — | 2 |
以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。
---
name: stock_data
description: "Fetch comprehensive stock data from Simplywall.st. Use when user asks about stock prices, valuation, financials, dividend, or investment analysis for any global stock."
metadata:
openclaw:
emoji: "📈"
version: "2.0.0"
author: "OpenClaw Community"
requires: {}
changelog: - "v2.0.0 - Enhanced: price targets, all returns (1d-5yr), insider activity, margins, health/balance sheet, growth rates, forecasts, 52W range, volatility"
- "v1.3.0 - Switch to direct HTTP fetch (no API key required)"
---
# Stock Data - Simplywall.st v2.0
Fetch comprehensive stock data from Simplywall.st for any global stock.
## When to Use
- User asks about stock prices, valuation, financials
- Investment analysis or stock thesis generation
- Dividend info, growth rates, insider activity
- Analyst price targets and forecasts
## Usage
```bash
cd ~/.openclaw/workspace/skills/stock-data-skill && python3 skill.py {TICKER} {EXCHANGE}
```
## Output Structure (v2.0)
| Section | Key Fields |
|---------|------------|
| `company` | name, description, country, founded, website |
| `price` | last, currency, beta5Y, min52W, max52W, isVolatile, dailyStdDev |
| `returns` | 1d, 7d, 30d, 90d, ytd, 1yr, 3yr, 5yr, sinceIPO |
| `valuation` | peRatio, pbRatio, pegRatio, priceToSales, evToEbitda, npvPerShare, intrinsicDiscount, status |
| `financials` | eps, roe, roa, debtEquity, revenue, netIncome, yearsProfitable, latestFiscalYear |
| `margins` | grossProfit, netIncome, ebit, ebitda |
| `growth` | revenueGrowth 1Y/3Y/5Y, netIncomeGrowth 1Y/3Y/5Y, epsGrowth 1Y/3Y/5Y |
| `dividend` | yield, futureYield, payingYears, payoutRatio, buybackYield, totalShareholderYield |
| `forecast` | epsGrowth 1Y/3Y, revenueGrowth 1Y/2Y/3Y, netIncomeGrowth 1Y/2Y/3Y, forwardPE1Y, roe1Y/3Y |
| `priceTarget` | consensus, low, high, analystCount |
| `health` | totalDebt, totalEquity, totalAssets, debtToEquity, currentRatio, interestCover, leveredFCF, bookValuePerShare |
| `insiders` | buyingRatio, totalSharesBought, totalSharesSold, totalEmployees, boardMembers |
| `snowflake` | value, future, past, health, dividend (each 0-6) |
| `recentEvents` | title, description (up to 5) |
## Supported Exchanges
IDX, NASDAQ, NYSE, ASX, LSE, TSX, SGX, TSE, HKSE, KRX
## Data Source
- Direct HTTP fetch from SimplyWall.st (no API key required)
- Parses `__REACT_QUERY_STATE__` embedded in HTML
- Extracts both basic and extended analysis data
- Price data updated daily, financials quarterly
基于 AkShare 库取 A 股行情、财务与板块数据的数据接口技能。
用自然语言查询东方财富的金融数据,结果落成 Excel 与 Markdown 表格。
协助整理中国专利相关材料、检索问题和技术说明草稿。
金融数据查询技能:基于 westock 命令行工具查询市场结构化数据。
以 Yahoo Finance 数据取报价与基本面,并生成带技术指标图表的本地行情分析技能。
按价值投资框架做 A 股与港股估值分析的技能。
查 A 股实时行情、拆解分时量能并管理持仓的分析脚本。
盯住自选股的行情与技术指标,触发条件时按级别推送预警消息。
数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。