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akshare-analysis阿克共享分析

Agent Skill

akshare-analysis 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:akshare-analysis(阿克共享分析)
来源仓库:https://github.com/coxlong/akshare-analysis
安装命令:
openclaw skills install akshare-analysis
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install akshare-analysis

简介

使用 akshare 数据从六个维度分析香港(5 位数字)和 A 股(6 位数字)股票,生成带有置信度分数的买入/持有/卖出信号。

SKILL.md

name
akshare-analysis
description
Stock analysis for Chinese companies: HK stocks (港股) and A-shares (A股). Use when user wants to analyze Chinese stocks by company name (腾讯, 阿里巴巴, 茅台, 比亚迪, 美团, 小米, 宁德时代, 京东, 拼多多, 网易, 百度, 快手) or ticker code (00700, 600519, etc.). Trigger for any request involving 港股, A股, 中概股, or investment/trading analysis of Chinese companies.
version
1.0.0
commands
metadata
{"clawdbot":{"emoji":"📊","requires":{"bins":["uv"],"env":[]},"install":[]}}

AKShare Stock Analysis

Analyze Hong Kong and A-share stocks with 6-dimension scoring using akshare as the data source. Works reliably on servers where Yahoo Finance is rate-limited.

Ticker Format

MarketFormatExample
Hong Kong5-digit00700 (Tencent), 09988 (Alibaba)
A-Share6-digit600519 (Moutai), 000858 (Wuliangye)

Quick Commands

# Single stock analysis
uv run {baseDir}/scripts/analyze.py 00700

# Multiple stocks
uv run {baseDir}/scripts/analyze.py 00700 09988 600519

# JSON output
uv run {baseDir}/scripts/analyze.py 00700 --output json

# Verbose (show per-dimension scores)
uv run {baseDir}/scripts/analyze.py 00700 --verbose

# Generate HTML report
uv run {baseDir}/scripts/analyze.py 00700 --report
uv run {baseDir}/scripts/render_report.py /data/stock-reports/00700/20260329_030822

# Search stock news (supports multiple keywords)
uv run {baseDir}/scripts/news.py 00700 腾讯 港股
uv run {baseDir}/scripts/news.py 600519 茅台 A股 --json

HTML Report Generation

Four-step workflow for generating comprehensive reports:

Step 1: Analyze and generate report directory

uv run {baseDir}/scripts/analyze.py 00700 --report
# Creates: /data/stock-reports/00700/20260329_030822/
#   ├── chart_data.json  (K线+MA+布林带+RSI+MACD+成交量)
#   └── data.json        (structured analysis data)

Step 2: Search news

# Search by ticker, name, and market keywords
uv run {baseDir}/scripts/news.py 00700 腾讯 港股
uv run {baseDir}/scripts/news.py 600519 茅台 A股

# For HK stocks, use: ticker + name + "港股"
# For A-shares, use: ticker + name + "A股"

Step 3: Generate AI analysis (manual) Based on the news from Step 2 and technical data from Step 1, create ai_analysis.md in the report directory:

---
generated_at: 2026-03-29T20:30:00
---

## 市场情绪
... (summarize key news sentiment)

## 技术面解读
... (combine news + technical indicators from data.json)

## 关键事件影响
... (major news events and their impact)

## 综合展望
... (overall outlook combining fundamentals + technicals + news)

## 风险提示
... (key risks identified from news and technicals)

Step 4: Render HTML report

uv run {baseDir}/scripts/render_report.py /data/stock-reports/00700/20260329_030822
# Generates: index.html (self-contained with embedded charts + AI analysis)

The HTML report includes: signal badge, dimension scores with visual bars, financial metrics, analyst forecasts (HK only), technical charts, and optional AI analysis section.

Analysis Dimensions

| Dimension | Weight | HK | A-Share | Data Source | |-----------|--------|:--:|:-------:|-------------| | Fundamentals | 25% | ✅ | ✅ | ROE, net margin, profit growth | | Analyst | 20% | ✅ | ❌ | Target prices, ratings | | Momentum | 20% | ✅ | ✅ | RSI(14), 52-week position | | Valuation | 15% | ✅ | ⚠️ | P/E, P/B | | Trend | 10% | ✅ | ✅ | MA5/MA20 crossover, 20d change | | Volume | 10% | ✅ | ✅ | 5d vs 60d average volume |

Signal Logic

  • BUY: weighted score > 0.33
  • SELL: weighted score < -0.33
  • HOLD: otherwise
  • Confidence = abs(score) × 100%

Limitations

  • A-shares: no analyst forecast data (akshare doesn't provide per-stock analyst ratings for A-shares)
  • A-shares: P/E and P/B may be unavailable depending on market hours
  • Data is delayed (not real-time intraday)

Disclaimer

⚠️ NOT FINANCIAL ADVICE. For informational purposes only.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

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能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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安装前确认

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