Skip to content
cccskills
FreePublished on GitHub

sn-search-finance

Research securities and listed companies across Chinese A-share, Hong Kong, US, and global markets. Retrieve price history, financial statements, filings, and news using scripts and browser checks, keeping source URLs, market identifiers, and reporting periods.

OriginalShow the original description

用于搜索金融市场、证券、上市公司基本面、价格、K 线、披露文件、财经新闻、A 股数据、港股或全球 ticker,可使用 yfinance、mootdx、API 脚本或 browser-use。

Works withYahoo Finance

Run score Not tested

See how to install

Good for

  • Find ticker symbols from company names
  • Compare historical prices for several securities
  • Research financial statements and corporate filings
  • Cross-check financial news and figures against source pages

Files included (3)

  • SKILL.md5.0 KB
  • requirements.txt21 B
  • scripts/finance_search.py23.9 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

金融财经搜索

凭证配置

API key、token 与 cookie 统一建议写在仓库根目录 .env(参考 .env.example),并由 runtime 或用户在执行前加载为同名环境变量。脚本仍只从环境变量或显式 CLI 参数读取凭证;不要把真实密钥写入 skill payload、报告、日志或提交。

用于证券、指数、基金、财务报表、行情、K 线、公告线索、财经新闻和公司基本面的检索。API 脚本和 browser-use 可以混合使用;按任务需要选择,不设固定优先级。

工作流

  1. 先确认市场和标的:A 股/港股/美股/全球 ticker、公司名、证券代码、时间区间、需要的数据口径。
  2. 结构化数据用 scripts/finance_search.py:yfinance 查全球 ticker、行情、财务、新闻、SEC filings;mootdx 查通达信/A 股行情、K 线、财务包。
  3. 需要页面证据、新闻正文、交互筛选、图表核对、脚本失败或字段缺失时,用 browser-use 打开 Yahoo Finance、交易所、上市公司 IR、公告页或搜索结果页交叉核对。
  4. 输出结论时保留 ticker/证券代码、市场、数据区间、指标口径和来源 URL;不要把脚本结果当作投资建议。
  5. 遇到登录墙、验证码、付费墙、商业授权、异常限流或禁止用途提示时停止该来源,改用可公开访问的页面或说明无法取得。

API 脚本

脚本:scripts/finance_search.py。输出 JSON。依赖按命令懒加载。

首次运行或脚本提示缺库时,使用本技能的依赖清单安装到当前 Python 环境:

python3 -m pip install -r requirements.txt

不要在脚本内部自动安装依赖。若安装失败、网络不可用或包不可用,停止使用对应命令并改用公开网页来源,说明缺少依赖。

yfinance

Yahoo Finance 代码后缀:美股直接用 AAPL;港股可用 0700.HK;A 股可用 600036.SH、600036.SS、000001.SZ,脚本会把 .SH 自动转成 .SS。不想自动转换时加 --no-normalize。

python scripts/finance_search.py yf-search "Tesla" --limit 5 --news-count 5
python scripts/finance_search.py yf-lookup "Tencent" --type stock --limit 10
python scripts/finance_search.py yf-profile AAPL --fields longName,sector,industry,marketCap,currentPrice,trailingPE
python scripts/finance_search.py yf-history AAPL --period 6mo --interval 1d --limit 120
python scripts/finance_search.py yf-download AAPL MSFT NVDA --period 1mo --interval 1d --group-by ticker
python scripts/finance_search.py yf-financials MSFT --statement income --freq yearly
python scripts/finance_search.py yf-financials MSFT --statement balance --freq quarterly
python scripts/finance_search.py yf-news TSLA --limit 8
python scripts/finance_search.py yf-sec-filings AAPL

常用命令:

命令用途
yf-search搜公司、ticker、新闻和研究入口
yf-lookup按金融工具类型查找股票、ETF、指数、基金、期货、外汇、加密资产
yf-profile基本面画像和 fast_info
yf-history / yf-download单标的或多标的历史行情
yf-financials利润表、资产负债表、现金流、盈利数据
yf-newsticker 相关新闻线索
yf-sec-filingsSEC filings 线索

mootdx

mootdx 使用通达信代码格式,通常是纯数字。脚本会把 600036.SH、600036.SS、000001.SZ 转成 600036、000001。

python scripts/finance_search.py tdx-quotes 600036 000001
python scripts/finance_search.py tdx-bars 600036 --frequency day --offset 120 --adjust qfq
python scripts/finance_search.py tdx-index 000001 --market sh --frequency day --offset 60
python scripts/finance_search.py tdx-stocks --market sh --limit 50
python scripts/finance_search.py tdx-finance 600036
python scripts/finance_search.py tdx-xdxr 600036
python scripts/finance_search.py tdx-affair-files --limit 10
python scripts/finance_search.py tdx-affair-fetch gpcw20231231.zip --downdir tmp
python scripts/finance_search.py tdx-affair-parse gpcw20231231.zip --downdir tmp --limit 100

K 线 --frequency 可用:1m、5m、15m、30m、1h、day、week、mon、3mon、year,也可直接传 mootdx 数字频率。

browser-use 场景

场景用法
脚本返回新闻线索打开新闻 URL 或 Yahoo Finance 新闻页核对标题、发布时间、正文要点
财务字段不全打开 Yahoo Finance Financials、SEC、交易所公告、公司 IR 页面补证
A 股公告/定期报告配合 sn-search-year-report 或 search-market 技能查官方披露源
图表、复权、行情异常打开行情页或交易所页面核对口径
公司名无法映射 ticker用 yf-search、yf-lookup 和网页搜索互相验证

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

Compare counts and shares for two categories in Excel data. The skill cleans the selected columns, calculates differences and percentages, and produces a summary spreadsheet plus bar and pie charts.

  • Comparing counts for two categories
  • Visualizing category shares
  • Cleaning merged-cell data before counting
OpenSenseNova/SenseNova-Skills5.9KUpdated Oct 9, 2026

Analyze Excel data using custom categories, count distributions, and compare groups with charts. Score text using its length, technical terms, numbers, and selected complex concepts, then visualize difficulty levels and the relationship between text length and scores.

  • Summarize Excel records using custom categories
  • Compare category distributions across groups
  • Score and grade text using adjustable rules
OpenSenseNova/SenseNova-Skills5.9KUpdated Oct 9, 2026

Count categories in a chosen data column after removing missing values and placeholder labels. Calculate each category’s share and create high-resolution charts combining counts, percentages, pie charts, and horizontal bars for distribution reports.

  • Compare record counts across categories
  • Show category shares with pie and bar charts
  • Exclude placeholder labels before counting
OpenSenseNova/SenseNova-Skills5.9KUpdated Oct 9, 2026

Clean category and numeric fields in structured data, compare groups with counts and cross-tabulations, and produce charts, Excel results, and a Markdown report. Export visuals as high-resolution PNG and SVG files for use in reports.

  • Compare category distributions across groups
  • Clean category labels and fill merged-cell gaps
  • Export analysis results to Excel
OpenSenseNova/SenseNova-Skills5.9KUpdated Oct 9, 2026

Filter Excel data using candidate column names, RGB color values, text prefixes, and regular expressions, which match text patterns. Calculate totals and averages, then export results to Excel with highlighted rows and a download link.

  • Filtering rows by RGB values or identifier prefixes
  • Converting text to numbers and calculating totals or averages
  • Extracting matching commands with their identifiers and descriptions
OpenSenseNova/SenseNova-Skills5.9KUpdated Oct 9, 2026

Filter rows from Excel or previously converted Parquet files, a format designed for efficient data storage. Summarize matching records by group with counts, percentages, and totals, then export the summary to Excel.

  • Count records containing a specified risk level by work category
  • Calculate group shares among matching records
  • Summarize large datasets already converted to Parquet
OpenSenseNova/SenseNova-Skills5.9KUpdated Oct 9, 2026

See all skills by OpenSenseNova

Report a problem with this skill