Skill Fin Report

v1.0.0

A股每周金融投研报告生成器 — 基于 AKShare / 新浪财经 / 东方财富数据源，自动生成包含技术分析、交易信号、风险评估的专业 PDF 研报。Triggers: '生成周报', '金融报告', '投研报告', '股票分析', 'A股研报'。

⭐ 0· 200·1 current·1 all-time

by@mli-cj

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for mli-cj/finance-research-report.

Previewing Install & Setup.

Prompt PreviewInstall & Setup

Install the skill "Skill Fin Report" (mli-cj/finance-research-report) from ClawHub.
Skill page: https://clawhub.ai/mli-cj/finance-research-report
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Required binaries: python3
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Canonical install target

openclaw skills install mli-cj/finance-research-report

ClawHub CLI

Package manager switcher

npx clawhub@latest install finance-research-report

Security Scan

VirusTotal

Benign

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OpenClaw

Benign

high confidence

✓

Purpose & Capability

Name/description (生成 A股周报) match the included code: data_fetcher, technical analysis, charting, and PDF generation. Required binary is only python3; no unrelated cloud credentials or surprising capabilities are requested.

✓

Instruction Scope

SKILL.md and scripts limit actions to fetching public market data (AKShare/Sina/东方财富), computing indicators, generating HTML/PDF, and writing output/ files. Instructions do not read unrelated system paths or ask for secrets, nor do they post report data to external services.

ℹ

Install Mechanism

No explicit install spec in registry; SKILL.md instructs pip3 install -r requirements.txt and system packages (pango, ghostscript). Installing PyPI packages and system libs is expected but carries the usual supply‑chain risk of third‑party packages—this is proportionate to the task.

✓

Credentials

The skill declares no required env vars or credentials and the code only uses public HTTP calls via akshare/urllib. No excessive secrets or unrelated service tokens are requested.

✓

Persistence & Privilege

always:false and the skill runs on demand. It writes output to its own output/ directory and does not modify other skills or global agent settings. Autonomous invocation is allowed (platform default) but not combined with broad privileges.

Assessment

This skill appears to do what it says: fetch public market data, compute technical indicators, and render a local PDF. Before installing: (1) run it in an isolated environment (virtualenv/container) because pip and system package installs pull third‑party code; (2) confirm you are okay with the script making outbound HTTP requests to AKShare/Sina/东方财富; (3) inspect the included Python files if you want to verify no additional network endpoints or unexpected behavior; (4) do not provide secrets—this skill does not need API keys; (5) keep in mind it is analysis-only (does not execute trades) and data may be delayed—use results as informational only.

Like a lobster shell, security has layers — review code before you run it.

Runtime requirements

📊 Clawdis

OSmacOS · Linux

Binspython3

latestvk97e4b3qedt2z7dazzgb58cb79832gnm

200downloads

0stars

1versions

Updated 1mo ago

v1.0.0

MIT-0

macOS, Linux

每周金融投研报告生成器

生成专业券商研报风格的 A 股投研 PDF 报告，包含技术分析、交易信号、风险评估。

Quick Start

生成报告（默认跳过全市场统计，更快）：

pip3 install -r {baseDir}/requirements.txt
python3 {baseDir}/scripts/generate_weekly_report.py --stocks 000001,600519,000858 --skip-breadth

完整报告（含全市场涨跌统计，约多1分钟）：

python3 {baseDir}/scripts/generate_weekly_report.py --stocks 000001,600519,000858

指定日期和作者：

python3 {baseDir}/scripts/generate_weekly_report.py --stocks 600519 --date 2026-03-14 --author 投研团队

How It Works

generate_weekly_report.py 脚本自动完成以下步骤：

获取主要指数数据 — 上证指数、深证成指、沪深300、创业板指
获取市场情绪 — 全市场涨跌家数、涨停跌停统计（可选）
获取北向资金 — 本周净流入/净流出
个股技术分析 — 均线、RSI、MACD、KDJ、ATR、量价等
获取持仓新闻 — 个股相关新闻 + 全球宏观要闻
生成 PDF 报告 — HTML+CSS → weasyprint → Ghostscript 优化

Analysis Framework

技术指标体系参考 {baseDir}/scripts/technical_analysis.py：

标的: 贵州茅台 (600519)
收盘价: ¥1,856.00  (+2.3%)
趋势: 多头排列 (MA5 > MA10 > MA20)

技术指标:
  RSI(14): 62.5 — 正常区间
  MACD: 金叉，柱状翻红
  KDJ: K=68, D=55, J=94

交易信号:
  🟢 买入信号 x3  |  🔴 卖出信号 x0
  信号强度: 强

风险评估:
  风险评分: 4/10
  止损位: ¥1,812.00
  止盈位: ¥1,920.00
  建议仓位: 60%

报告内容结构

生成的 PDF 报告（A4 页面）包含以下章节：

封面与投资要点 — 核心观点、看多/看空/中性统计、数据来源
目录
市场概览 — 大盘指数、涨跌家数、北向资金、持仓资讯、宏观要闻
个股技术分析 — 含价格走势图、MACD+RSI 图表
交易信号汇总 — 买入/卖出信号、信号强度
风险评估与仓位建议 — 风险评分、止损止盈、仓位系数
风险提示与免责声明

技术指标体系

类别	指标	说明
均线	MA5, MA10, MA20	趋势与排列判断
动量	RSI(14)	相对强弱，超买>80 / 超卖<20
动量	MACD(12,26,9)	趋势强度，金叉/死叉
动量	KDJ(9,3,3)	超买超卖判断
波动率	ATR(14)	真实波动幅度
波动率	标准差(20日)	价格离散度
量价	量比(5日)	成交活跃度
量价	换手率	交易活跃程度

交易信号

买入信号：MA5 金叉 MA10、价格突破 MA10、量价齐升、RSI 50-70、MACD 翻红
卖出信号：MA5 死叉 MA10、放量跌破 MA5、RSI>80、5日涨幅>15%、KDJ 超买

风险控制

止损位：min(前日低点×0.995, MA10×0.99, 入场价×0.95)
止盈位：当前价 + ATR × 2
仓位系数：(10 - 风险评分) / 10

数据来源

数据通过 AKShare 开源接口获取：

数据类型	来源
A 股日线行情（前复权）	新浪财经
主要指数日线数据	新浪财经
个股实时行情与名称	新浪财经
全市场涨跌统计	新浪财经
北向资金数据	东方财富
个股相关新闻	东方财富
全球财经要闻	东方财富

系统依赖

python3 on PATH
pango（macOS: brew install pango）— weasyprint 渲染依赖
ghostscript（macOS: brew install ghostscript）— PDF 兼容性优化
Python 包：pip3 install -r {baseDir}/requirements.txt

Output Format Rules

输出为 PDF 文件，保存在 output/ 目录
文件名格式：周报_YYYY-MM-DD.pdf
样式参考券商研报（红色主题、专业表格、技术图表）
每份报告末尾附风险提示与免责声明

Limitations & Notes

数据通过公开接口获取，部分数据可能有 15 分钟延迟
行业板块资金流向受网络环境限制可能不可用
本技能不执行交易操作，所有建议仅供参考
全市场涨跌统计（--skip-breadth 可跳过）约需 1 分钟
需要系统安装 pango 和 ghostscript

Security & Privacy

无需 API Key：所有数据通过 AKShare 公开接口获取
本地生成：PDF 报告在本地生成，不上传至任何服务器
仅供参考：交易信号为技术分析结果，不构成投资建议

免责声明：本报告基于公开市场数据的技术分析，不构成任何投资建议。投资有风险，入市需谨慎。

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