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a-share-analyst

Analyze Chinese A-share stocks with integrated technical and fundamental frameworks. Fetches live market data via AKShare, calculates indicators like MACD and RSI, evaluates valuations, and generates daily selection lists—research-focused, never investment advice.

A-share analyst provides technical and fundamental analysis for Chinese stock research using real-time market data.

AI-generated summary based on this skill's SKILL.md

631 121 MITupdated by staruhub

Decision gist · record as of 2026-07-21

A-share analyst provides technical and fundamental analysis for Chinese stock research using real-time market data. Analyze Chinese A-share stocks with integrated technical and fundamental frameworks. Fetches live market data via AKShare, calculates indicators like MACD and RSI, evaluates valuations, and generates daily selection lists—research-focused, never investment advice.

manual: git clone https://github.com/staruhub/ClaudeSkills → cp -r ClaudeSkills/lab/Geek-skills-a-share-analyst ~/.claude/skills/Geek-skills-a-share-analyst
lab/Geek-skills-a-share-analyst/SKILL.md · version 39717335

Use it when

  • a-share-analyst analyzes A-share stocks using technical indicators including MACD, KDJ, RSI, and Bollinger Bands.
  • Yes, a-share-analyst screens and identifies stocks based on quantitative factors and strategies.

Verify before relying

Read SKILL.md below before installing (10 files). Open directory: indexed for reading, not audited.

Same gist for agents: .md · .json

Install

staruhub/ClaudeSkills/Geek-skills-a-share-analyst · repository language: Python

Open directory. Skills are indexed for reading, not audited. Review a skill's body before installing it.

Frequently asked questions

AI-generated answers based on this skill's SKILL.md and metadata

What is a-share-analyst and what can it do?

a-share-analyst is a research tool for analyzing Chinese A-share stocks using integrated technical and fundamental frameworks. It fetches live market data via AKShare, calculates indicators like MACD and RSI, evaluates valuations, and generates daily selection lists. The tool is research-focused and never provides investment advice.

How does a-share-analyst perform technical analysis?

a-share-analyst analyzes A-share stocks using technical indicators including MACD, KDJ, RSI, and Bollinger Bands. It identifies K-line patterns, support and resistance levels, and trend breakouts to help you understand price movements and market structure.

Can a-share-analyst help with stock screening and selection?

Yes, a-share-analyst screens and identifies stocks based on quantitative factors and strategies. It supports value undervaluation screening, generates daily stock picks, and tracks sector hotspots to help you discover opportunities aligned with your criteria.

What financial metrics does a-share-analyst evaluate?

a-share-analyst evaluates valuation metrics and financial health including PE ratios, ROE, gross margins, and other fundamental indicators. It also analyzes capital flows via dragon-tiger board data and provides comprehensive financial data analysis for individual stocks.

Does a-share-analyst provide real-time market data?

Yes, a-share-analyst retrieves real-time market data and historical price information for A-shares, including real-time ChiNext (creative board) data. It integrates live feeds to support current market analysis and daily report generation with sector trends.

What is the license for a-share-analyst?

a-share-analyst is released under the MIT license, allowing broad use, modification, and distribution with minimal restrictions.

SKILL.md

Rendered from the published skill. Quoted content, verbatim.

A股分析师 Skill

专业的A股市场分析工具,整合多数据源,提供技术面、基本面综合分析和智能选股策略。

数据获取

使用AKShare作为主要数据源(免费、开源、无需token):

pip install akshare --break-system-packages
核心数据获取示例
import akshare as ak

# 实时行情
df = ak.stock_zh_a_spot_em()  # 全部A股实时行情

# 历史K线
df = ak.stock_zh_a_hist(symbol="000001", period="daily", adjust="qfq")

# 板块行情
df = ak.stock_board_concept_name_em()  # 概念板块
df = ak.stock_board_industry_name_em()  # 行业板块

# 龙虎榜(日期用实际查询区间,格式 YYYYMMDD)
df = ak.stock_lhb_detail_em(start_date="<起始日>", end_date="<结束日>")

# 资金流向
df = ak.stock_individual_fund_flow(stock="000001", market="sz")

分析工作流程

1. 每日盘前分析

执行顺序: 1. 获取大盘指数(上证、深证、创业板) 2. 分析板块热点轮动 3. 筛选涨停股及连板股 4. 检测北向资金流向 5. 生成今日关注清单

2. 技术面分析

对单只股票执行: 1. 获取历史K线数据(至少60日) 2. 计算技术指标(见 references/technical_indicators.md) 3. 识别K线形态(见 references/candlestick_patterns.md) 4. 判断趋势和支撑/阻力位 5. 生成技术面评分

3.

(truncated - see the full file via the links below)

File tree — 10 files
lab/Geek-skills-a-share-analyst/SKILL.md
lab/Geek-skills-a-share-analyst/evals/routing-evals.json
lab/Geek-skills-a-share-analyst/references/candlestick_patterns.md
lab/Geek-skills-a-share-analyst/references/factor_library.md
lab/Geek-skills-a-share-analyst/references/fundamental_metrics.md
lab/Geek-skills-a-share-analyst/references/technical_indicators.md
lab/Geek-skills-a-share-analyst/scripts/fetch_market_data.py
lab/Geek-skills-a-share-analyst/scripts/generate_report.py
lab/Geek-skills-a-share-analyst/scripts/strategy_multi_factor.py
lab/Geek-skills-a-share-analyst/scripts/technical_analysis.py

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Tags
market-data-retrievaltechnical-indicatorsfundamental-valuationstock-screeningsector-rotationquantitative-analysisrisk-assessmentportfolio-researchprice-actionfinancial-metrics