Methodologygeneric
alphaear-stock
Search A-Share/HK/US finance stock tickers and retrieve finance stock price history. Use when user asks about finance stock codes, recent price changes, or specific company finance stock info.
rkiding/awesome-finance-skills
Install
Use with your agent
Install the alphaear-stock skill, then use it as build context. Run: npx skills add https://github.com/rkiding/awesome-finance-skills --skill alphaear-stock. Then read the installed skill.md and follow its guidance to build or refactor my project.
AlphaEar Stock Skill
Overview
Search A-Share/HK/US stock tickers and retrieve historical price data (OHLCV).
Capabilities
1. Stock Search & Data
Use scripts/stock_tools.py via StockTools.
- Search:
search_ticker(query)- Fuzzy search by code or name (e.g., "Moutai", "600519").
- Returns: List of
{code, name}.
- Get Price:
get_stock_price(ticker, start_date, end_date)- Returns DataFrame with OHLCV data.
- Dates format: "YYYY-MM-DD".
- Get Fundamentals:
get_stock_fundamentals(ticker)- Returns dict with sector, industry, market cap, PE ratio, and summary.
- Supports A-Share/HK/US stocks.
Dependencies
pandas,requests,akshare,yfinancescripts/database_manager.py(stock tables)
Notes
- Proxy: For US stock data (via
yfinance), you may need to set environment variables if your network cannot reach Yahoo Finance directly:export HTTP_PROXY="http://<proxy_ip>:<port>" export HTTPS_PROXY="http://<proxy_ip>:<port>" - A-Share/HK: Data is primarily fetched via
akshare(EastMoney), which usually works best with a direct connection in China. The tool automatically detects proxy issues and attempts direct connection for these markets.