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新股申购助手
by
zhaoteng-qd
· GitHub ↗
· v1.0.0
· MIT-0
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Install in OpenClaw
/install ipo-assistant
Description
新股申购助手 - A 股 IPO 申购必备工具。提供新股申购日历、基本面分析、中签率预测、上市溢价预测、申购建议。适用于 A 股新股投资者。
README (SKILL.md)
新股申购助手
专业的 A 股新股申购辅助工具,提供申购日历、基本面分析、中签率预测等功能。
版本: 1.0.0
许可证: MIT
定价: 免费(引流工具)
🎯 核心功能
1. 申购日历 📅
- 今日/本周可申购新股列表
- 申购代码、发行价格
- 申购上限、顶格申购所需市值
- 多数据源:东方财富 + akshare + Tushare
2. 新股分析 📊
- 发行市盈率 vs 行业市盈率
- 主营业务收入分析
- 同行业公司对比
- 募集资金用途
- 申购建议:基于估值、成长性、盈利能力
3. 中签率预测 🎯
- 基于发行规模
- 基于申购热度
- 历史中签率对比
- 行业对比:不同行业中签率差异
4. 上市溢价预测 📈
- 基于同行业对比
- 基于市场环境
- 预测首日涨幅
- 置信度评估:高/中/低
5. 历史统计 📉
- 近 90 天统计:新股数量、平均涨幅、中签率
- 行业排行:各行业新股表现
- 最高/最低:涨幅 extremes
6. 新股对比 🔄
- 多只新股横向对比
- 发行价、涨幅、中签率对比
- 行业、板块对比
7. 智能提醒 ⏰
- 每日提醒:9:00 自动推送
- 申购日历:周一推送本周新股
- 多渠道:飞书、微信等
🚀 使用方式
快速开始
# 安装依赖
pip3 install requests pandas beautifulsoup4
# 运行主程序
python3 main.py
触发词
- "新股申购"
- "今日新股"
- "新股分析"
- "中签率预测"
- "上市溢价预测"
📁 目录结构
ipo-assistant/
├── SKILL.md # 技能说明
├── main.py # 主入口
├── ipo_calendar.py # 申购日历
├── ipo_analysis.py # 新股分析
├── ipo_prediction.py # 中签率/溢价预测
├── data/
│ └── ipo_history.csv # 历史数据缓存
└── references/
├── API.md # 数据源说明
└── USER_GUIDE.md # 用户指南
📊 功能示例
查询今日可申购新股
python main.py today
输出示例:
📅 今日可申购新股 (2026-03-08)
1. 赛力斯 (601127)
- 发行价:15.80 元
- 发行市盈率:25 倍
- 行业市盈率:30 倍
- 申购上限:2 万股
- 顶格申购需市值:20 万元
💡 建议:⭐⭐⭐ 积极申购
新股分析
python main.py analyze 601127
输出示例:
📊 赛力斯 (601127) 分析
• 发行价:15.80 元
• 发行市盈率:25 倍(行业平均 30 倍)
• 行业:汽车制造
• 2025 年营收:120 亿元(+35%)
• 净利润:8.5 亿元(+28%)
• 毛利率:18%(行业平均 15%)
💡 建议:⭐⭐⭐ 积极申购(估值低 + 业绩好)
🔌 数据源
| 数据类型 | 来源 | 更新频率 |
|---|---|---|
| 新股申购 | 东方财富网 | 实时 |
| 发行价格 | 交易所公告 | 实时 |
| 市盈率 | 东方财富数据中心 | 每日 |
| 行业数据 | 申万宏源 | 每周 |
API 端点:
http://datacenter-web.eastmoney.com/api/data/v1/get
?reportName=RPTA_APP_IPOAPPLY
数据缓存: 12 小时(减少 API 调用)
⚠️ 风险提示
- 新股有破发风险
- 预测仅供参考
- 申购需对应市场市值
- 中签后需及时缴款
📬 反馈
欢迎提交问题和建议!
作者: Your Name
邮箱: [email protected]
Usage Guidance
This skill is coherent for IPO calendar/analysis use: it fetches public data (东方财富) and optionally uses akshare or Tushare (the latter requires a TUSHARE_TOKEN you must provide). Before installing: 1) Review whether you want to install optional libraries (akshare/tushare) — they are only needed for additional data sources. SKILL.md lists pandas and beautifulsoup4 but the shipped code doesn't rely on them; you can install only requests if you prefer. 2) If you plan to use Tushare, create a TUSHARE_TOKEN and store it in the environment or data/tushare_token.txt; otherwise the skill will skip Tushare. 3) The reminder feature saves config in data/reminder_config.json and prints instructions to add an OpenClaw cron job — it does not automatically register a cron job. 4) As with any tool that talks to the network, run it in an environment you control and inspect data/ files for any sensitive tokens before sharing. Overall the package appears benign but exercise normal caution (control network access, review optional dependencies and local config files).
Capability Analysis
Type: OpenClaw Skill
Name: ipo-assistant
Version: 1.0.0
The 'ipo-assistant' bundle is a functional financial tool designed to provide A-share IPO information, analysis, and reminders. The code fetches data from legitimate public financial endpoints (e.g., EastMoney API) and uses standard libraries like requests and pandas. While it includes logic for setting up scheduled tasks via OpenClaw's cron system and handles API tokens for Tushare, these behaviors are transparently documented and aligned with the stated purpose of an investment assistant. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found.
Capability Assessment
Purpose & Capability
Name/description match the code: modules fetch IPO data (东方财富, optional akshare, optional Tushare), produce analysis, predictions and reminders. Requested binary (python3) and use of HTTP requests are expected for this purpose.
Instruction Scope
SKILL.md tells the agent to install requests/pandas/beautifulsoup4 and run python3 main.py; code uses requests and optional akshare/tushare. There is no instruction to read unrelated system files or exfiltrate data. The reminder instructions include a suggested OpenClaw cron command (user-run).
Install Mechanism
No install spec provided (instruction-only), so nothing is automatically downloaded or executed beyond Python scripts. Dependencies are installed via pip by the user per SKILL.md, which is low-risk compared with automatic downloads.
Credentials
The code optionally reads a TUSHARE_TOKEN from the environment or data/tushare_token.txt, but the registry metadata declared no required env vars and SKILL.md did not mention TUSHARE_TOKEN. That optional credential use is reasonable for the Tushare data source, but it is not declared up front. Also SKILL.md lists pandas and beautifulsoup4 as required packages though the bundled code does not meaningfully use them.
Persistence & Privilege
always:false and no special privileges requested. The skill writes cache and local config files under the data/ directory (ipo_cache.json, reminder_config.json), which is expected for a local CLI tool and is scoped to the skill.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install ipo-assistant - After installation, invoke the skill by name or use
/ipo-assistant - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
ipo-assistant 1.0.0 – A 股新股申购助手首发版本
- 提供新股申购日历、基本面分析、中签率和上市溢价预测等核心功能
- 支持多数据源(东方财富、akshare、Tushare),数据每日自动更新
- 实现新股横向对比、历史表现统计、行业分析等多维度数据支持
- 提供智能提醒(每日、每周)及多渠道推送
- 易于使用,命令行快速查询,附带丰富示例和详细用户指南
Metadata
Frequently Asked Questions
What is 新股申购助手?
新股申购助手 - A 股 IPO 申购必备工具。提供新股申购日历、基本面分析、中签率预测、上市溢价预测、申购建议。适用于 A 股新股投资者。 It is an AI Agent Skill for Claude Code / OpenClaw, with 293 downloads so far.
How do I install 新股申购助手?
Run "/install ipo-assistant" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 新股申购助手 free?
Yes, 新股申购助手 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 新股申购助手 support?
新股申购助手 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 新股申购助手?
It is built and maintained by zhaoteng-qd (@zhaoteng-qd); the current version is v1.0.0.
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